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Jin J, Zhan J, Zhang J, Zhao R, O'Connell J, Jiang Y, Buyske S, Gignoux C, Haiman C, Kenny EE, Kooperberg C, North K, Koelsch BL, Wojcik G, Zhang H, Chatterjee N. MUSSEL: Enhanced Bayesian polygenic risk prediction leveraging information across multiple ancestry groups. Cell Genom 2024; 4:100539. [PMID: 38604127 PMCID: PMC11019365 DOI: 10.1016/j.xgen.2024.100539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 09/07/2023] [Accepted: 03/14/2024] [Indexed: 04/13/2024]
Abstract
Polygenic risk scores (PRSs) are now showing promising predictive performance on a wide variety of complex traits and diseases, but there exists a substantial performance gap across populations. We propose MUSSEL, a method for ancestry-specific polygenic prediction that borrows information in summary statistics from genome-wide association studies (GWASs) across multiple ancestry groups via Bayesian hierarchical modeling and ensemble learning. In our simulation studies and data analyses across four distinct studies, totaling 5.7 million participants with a substantial ancestral diversity, MUSSEL shows promising performance compared to alternatives. For example, MUSSEL has an average gain in prediction R2 across 11 continuous traits of 40.2% and 49.3% compared to PRS-CSx and CT-SLEB, respectively, in the African ancestry population. The best-performing method, however, varies by GWAS sample size, target ancestry, trait architecture, and linkage disequilibrium reference samples; thus, ultimately a combination of methods may be needed to generate the most robust PRSs across diverse populations.
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Affiliation(s)
- Jin Jin
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19103, USA.
| | | | - Jingning Zhang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Ruzhang Zhao
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | | | | | - Steven Buyske
- Department of Statistics, Rutgers University, New Brunswick, NJ 08854, USA
| | - Christopher Gignoux
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Eimear E Kenny
- Icahn Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Kari North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
| | | | - Genevieve Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Haoyu Zhang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Nilanjan Chatterjee
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA; Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
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2
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Almelegy A, Gunda S, Buyske S, Rosenbaum M, Sani S, Afshari M, Metman LV, Goetz CG, Hall D, Mouradian MM, Pal G. NIH Toolbox performance of persons with Parkinson's disease according to GBA1 and STN-DBS status. Ann Clin Transl Neurol 2024; 11:899-904. [PMID: 38337113 PMCID: PMC11021616 DOI: 10.1002/acn3.52005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/02/2024] [Accepted: 01/11/2024] [Indexed: 02/12/2024] Open
Abstract
OBJECTIVE Mutations in the glucocerebrosidase (GBA1) gene and subthalamic nucleus deep brain stimulation (STN-DBS) are independently associated with cognitive dysfunction in persons with Parkinson's disease (PwP). We hypothesized that PwP with both GBA1 mutations and STN-DBS are at greater risk of cognitive dysfunction than PwP with only GBA1 mutations or STN-DBS, or neither. In this study, we determined the pattern of cognitive dysfunction in PwP based on GBA1 mutation status and STN-DBS treatment. METHODS PwP who are GBA1 mutation carriers with or without DBS (GBA1+DBS+, GBA1+DBS-), and noncarriers with or without DBS (GBA1-DBS+, GBA1-DBS-) were included. Using the NIH Toolbox, cross-sectional differences in response inhibition, processing speed, and episodic memory were compared using analysis of variance with adjustment for relevant covariates. RESULTS Data were available for 9 GBA1+DBS+, 14 GBA1+DBS-, 17 GBA1-DBS+, and 26 GBA1-DBS- PwP. In this cross-sectional study, after adjusting for covariates, we found that performance on the Flanker test (measure of response inhibition) was lower in GBA1+DBS+ PwP compared with GBA1-DBS+ PwP (P = 0.030). INTERPRETATION PwP who carry GBA1 mutations and have STN-DBS have greater impaired response inhibition compared with PwP with STN-DBS but without GBA1 mutations. Longitudinal data, including preoperative scores, are required to definitively determine whether GBA1 mutation carriers respond differently to STN-DBS, particularly in the domain of response inhibition.
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Affiliation(s)
- Ahmad Almelegy
- Department of NeurologyRutgers‐Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
| | - Srujanesh Gunda
- Department of NeurologyRutgers‐Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
| | - Steven Buyske
- Department of StatisticsRutgers UniversityPiscatawayNew JerseyUSA
| | - Marc Rosenbaum
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
| | - Sepehr Sani
- Department of NeurosurgeryRush University Medical CenterChicagoIllinoisUSA
| | - Mitra Afshari
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
| | - Leo V. Metman
- Parkinson's Disease and Movement Disorders CenterNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Christopher G. Goetz
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
| | - Deborah Hall
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
| | - M. Maral Mouradian
- Department of NeurologyRutgers‐Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
- Robert Wood Johnson Medical School Institute for Neurological Therapeutics, Rutgers Biomedical and Health SciencesPiscatawayNew JerseyUSA
| | - Gian Pal
- Department of NeurologyRutgers‐Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
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3
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Jin J, Zhan J, Zhang J, Zhao R, O’Connell J, Jiang Y, Buyske S, Gignoux C, Haiman C, Kenny EE, Kooperberg C, North K, Koelsch BL, Wojcik G, Zhang H, Chatterjee N. MUSSEL: Enhanced Bayesian Polygenic Risk Prediction Leveraging Information across Multiple Ancestry Groups. bioRxiv 2023:2023.04.12.536510. [PMID: 37090648 PMCID: PMC10120638 DOI: 10.1101/2023.04.12.536510] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Polygenic risk scores (PRS) are now showing promising predictive performance on a wide variety of complex traits and diseases, but there exists a substantial performance gap across different populations. We propose MUSSEL, a method for ancestry-specific polygenic prediction that borrows information in the summary statistics from genome-wide association studies (GWAS) across multiple ancestry groups. MUSSEL conducts Bayesian hierarchical modeling under a MUltivariate Spike-and-Slab model for effect-size distribution and incorporates an Ensemble Learning step using super learner to combine information across different tuning parameter settings and ancestry groups. In our simulation studies and data analyses of 16 traits across four distinct studies, totaling 5.7 million participants with a substantial ancestral diversity, MUSSEL shows promising performance compared to alternatives. The method, for example, has an average gain in prediction R2 across 11 continuous traits of 40.2% and 49.3% compared to PRS-CSx and CT-SLEB, respectively, in the African Ancestry population. The best-performing method, however, varies by GWAS sample size, target ancestry, underlying trait architecture, and the choice of reference samples for LD estimation, and thus ultimately, a combination of methods may be needed to generate the most robust PRS across diverse populations.
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Affiliation(s)
- Jin Jin
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Jingning Zhang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ruzhang Zhao
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | | | - Steven Buyske
- Department of Statistics, Rutgers University, New Brunswick, NJ, USA
| | - Christopher Gignoux
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eimear E. Kenny
- Icahn Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Kari North
- Department of Epidemiology, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | | | - Genevieve Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Haoyu Zhang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nilanjan Chatterjee
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
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4
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Petrill SA, Klamer BG, Buyske S, Willcutt EG, Gruen JR, Francis DJ, Flax JF, Brzustowicz LM, Bartlett CW. The Rosetta Phenotype Harmonization Method Facilitates Finding a Relationship Quantitative Trait Locus for a Complex Cognitive Trait. Genes (Basel) 2023; 14:1748. [PMID: 37761888 PMCID: PMC10531321 DOI: 10.3390/genes14091748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023] Open
Abstract
Genetics researchers increasingly combine data across many sources to increase power and to conduct analyses that cross multiple individual studies. However, there is often a lack of alignment on outcome measures when the same constructs are examined across studies. This inhibits comparison across individual studies and may impact the findings from meta-analysis. Using a well-characterized genotypic (brain-derived neurotrophic factor: BDNF) and phenotypic constructs (working memory and reading comprehension), we employ an approach called Rosetta, which allows for the simultaneous examination of primary studies that employ related but incompletely overlapping data. We examined four studies of BDNF, working memory, and reading comprehension with a combined sample size of 1711 participants. Although the correlation between working memory and reading comprehension over all participants was high, as expected (ρ = 0.45), the correlation between working memory and reading comprehension was attenuated in the BDNF Met/Met genotype group (ρ = 0.18, n.s.) but not in the Val/Val (ρ = 0.44) or Val/Met (ρ = 0.41) groups. These findings indicate that Met/Met carriers may be a unique and robustly defined subgroup in terms of memory and reading comprehension. This study demonstrates the utility of the Rosetta method when examining complex phenotypes across multiple studies, including psychiatric genetic studies, as shown here, and also for the mega-analysis of cohorts generally.
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Affiliation(s)
- Stephen A. Petrill
- Department of Psychology, College of Arts and Sciences, The Ohio State University, Columbus, OH 43210, USA;
| | - Brett G. Klamer
- Center for Biostatistics, The Ohio State University, Columbus, OH 43210, USA;
| | - Steven Buyske
- Department of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;
| | - Erik G. Willcutt
- Department of Psychology, University of Colorado Boulder, Boulder, CO 80309, USA;
| | - Jeffrey R. Gruen
- Departments of Pediatrics and of Genetics, Yale Medical School, New Haven, CT 06511, USA;
| | - David J. Francis
- Texas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, TX 77004, USA;
| | - Judy F. Flax
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (J.F.F.); (L.M.B.)
| | - Linda M. Brzustowicz
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (J.F.F.); (L.M.B.)
| | - Christopher W. Bartlett
- The Steve & Cindy Rasmussen Institute for Genomic Medicine in the Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH 43205, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH 43205, USA
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5
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Alibutud R, Hansali S, Cao X, Zhou A, Mahaganapathy V, Azaro M, Gwin C, Wilson S, Buyske S, Bartlett CW, Flax JF, Brzustowicz LM, Xing J. Structural Variations Contribute to the Genetic Etiology of Autism Spectrum Disorder and Language Impairments. Int J Mol Sci 2023; 24:13248. [PMID: 37686052 PMCID: PMC10487745 DOI: 10.3390/ijms241713248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by restrictive interests and/or repetitive behaviors and deficits in social interaction and communication. ASD is a multifactorial disease with a complex polygenic genetic architecture. Its genetic contributing factors are not yet fully understood, especially large structural variations (SVs). In this study, we aimed to assess the contribution of SVs, including copy number variants (CNVs), insertions, deletions, duplications, and mobile element insertions, to ASD and related language impairments in the New Jersey Language and Autism Genetics Study (NJLAGS) cohort. Within the cohort, ~77% of the families contain SVs that followed expected segregation or de novo patterns and passed our filtering criteria. These SVs affected 344 brain-expressed genes and can potentially contribute to the genetic etiology of the disorders. Gene Ontology and protein-protein interaction network analysis suggested several clusters of genes in different functional categories, such as neuronal development and histone modification machinery. Genes and biological processes identified in this study contribute to the understanding of ASD and related neurodevelopment disorders.
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Affiliation(s)
- Rohan Alibutud
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Sammy Hansali
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Xiaolong Cao
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Anbo Zhou
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Vaidhyanathan Mahaganapathy
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Marco Azaro
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Christine Gwin
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Sherri Wilson
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Steven Buyske
- Department of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;
| | - Christopher W. Bartlett
- The Steve Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH 43205, USA;
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH 43205, USA
| | - Judy F. Flax
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Linda M. Brzustowicz
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
- The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Jinchuan Xing
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (R.A.); (S.H.); (X.C.); (A.Z.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
- The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
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6
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Cordero RY, Cordero JB, Stiemke AB, Datta LW, Buyske S, Kugathasan S, McGovern DPB, Brant SR, Simpson CL. Trans-ancestry, Bayesian meta-analysis discovers 20 novel risk loci for inflammatory bowel disease in an African American, East Asian and European cohort. Hum Mol Genet 2023; 32:873-882. [PMID: 36308435 PMCID: PMC9941836 DOI: 10.1093/hmg/ddac269] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 10/19/2022] [Accepted: 10/25/2022] [Indexed: 11/14/2022] Open
Abstract
Inflammatory bowel disease (IBD) is an immune-mediated chronic intestinal disorder with major phenotypes: ulcerative colitis (UC) and Crohn's disease (CD). Multiple studies have identified over 240 IBD susceptibility loci. However, most studies have centered on European (EUR) and East Asian (EAS) populations. The prevalence of IBD in non-EUR, including African Americans (AAs), has risen in recent years. Here we present the first attempt to identify loci in AAs using a trans-ancestry Bayesian approach (MANTRA) accounting for heterogeneity between diverse ancestries while allowing for the similarity between closely related populations. We meta-analyzed genome-wide association studies (GWAS) and Immunochip data from a 2015 EUR meta-analysis of 38 155 IBD cases and 48 485 controls and EAS Immunochip study of 2824 IBD cases and 3719 controls, and our recent AA IBD GWAS of 2345 cases and 5002 controls. Across the major IBD phenotypes, we found significant evidence for 92% of 205 loci lead SNPs from the 2015 meta-analysis, but also for three IBD loci only established in latter studies. We detected 20 novel loci, all containing immunity-related genes or genes with other evidence for IBD or immune-mediated disease relevance: PLEKHG5;TNFSFR25 (encoding death receptor 3, receptor for TNFSF15 gene product TL1A), XKR6, ELMO1, BC021024;PI4KB;PSMD4 and APLP1 for IBD; AUTS2, XKR6, OSER1, TET2;AK094561, BCAP29 and APLP1 for CD; and GABBR1;MOG, DQ570892, SPDEF;ILRUN, SMARCE1;CCR7;KRT222;KRT24;KRT25, ANKS1A;TCP11, IL7, LRRC18;WDFY4, XKR6 and TNFSF4 for UC. Our study highlights the value of combining low-powered genomic studies from understudied populations of diverse ancestral backgrounds together with a high-powered study to enable novel locus discovery, including potentially important therapeutic IBD gene targets.
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Affiliation(s)
- Roberto Y Cordero
- Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Jennifer B Cordero
- Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Andrew B Stiemke
- Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Lisa W Datta
- Meyerhoff Inflammatory Bowel Disease Center, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Steven Buyske
- Department of Statistics and Biostatistics, Rutgers University, Piscataway, NJ 08854, USA
| | - Subra Kugathasan
- Department of Pediatrics and Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Dermot P B McGovern
- F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Steven R Brant
- Meyerhoff Inflammatory Bowel Disease Center, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21231, USA
- Rutgers Crohn’s and Colitis Center of New Jersey, Department of Medicine, Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
- Human Genetics Institute of New Jersey and Department of Genetics, School of Arts and Sciences, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Claire L Simpson
- Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
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7
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Zhou A, Cao X, Mahaganapathy V, Azaro M, Gwin C, Wilson S, Buyske S, Bartlett CW, Flax JF, Brzustowicz LM, Xing J. Common genetic risk factors in ASD and ADHD co-occurring families. Hum Genet 2023; 142:217-230. [PMID: 36251081 PMCID: PMC10177627 DOI: 10.1007/s00439-022-02496-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 10/10/2022] [Indexed: 12/01/2022]
Abstract
Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two major neurodevelopmental disorders that frequently co-occur. However, the genetic mechanism of the co-occurrence remains unclear. The New Jersey Language and Autism Genetics Study (NJLAGS) collected more than 100 families with at least one member affected by ASD. NJLAGS families show a high prevalence of ADHD and provide a good opportunity to study shared genetic risk factors for ASD and ADHD. The linkage study of the NJLAGS families revealed regions on chromosomes 12 and 17 that are significantly associated with ADHD. Using whole-genome sequencing data on 272 samples from 73 NJLAGS families, we identified potential risk genes for ASD and ADHD. Within the linkage regions, we identified 36 genes that are associated with ADHD using a pedigree-based gene prioritization approach. KDM6B (Lysine Demethylase 6B) is the highest-ranking gene, which is a known risk gene for neurodevelopmental disorders, including ASD and ADHD. At the whole-genome level, we identified 207 candidate genes from the analysis of both small variants and structure variants, including both known and novel genes. Using enrichment and protein-protein interaction network analyses, we identified gene ontology terms and pathways enriched for ASD and ADHD candidate genes, such as cilia function and cation channel activity. Candidate genes and pathways identified in our study improve the understanding of the genetic etiology of ASD and ADHD and will lead to new diagnostic or therapeutic interventions for ASD and ADHD in the future.
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Affiliation(s)
- Anbo Zhou
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Xiaolong Cao
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.,Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | | | - Marco Azaro
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Christine Gwin
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Sherri Wilson
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Steven Buyske
- Department of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Christopher W Bartlett
- The Steve Cindy Rasmussen Institute for Genomic Medicine, Battelle Center for Computational Biology, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.,Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Judy F Flax
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Linda M Brzustowicz
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.,The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, 145 Bevier Road, Piscataway, NJ, 08854, USA
| | - Jinchuan Xing
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA. .,The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, 145 Bevier Road, Piscataway, NJ, 08854, USA.
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8
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Zhou H, Arapoglou T, Li X, Li Z, Zheng X, Moore J, Asok A, Kumar S, Blue E, Buyske S, Cox N, Felsenfeld A, Gerstein M, Kenny E, Li B, Matise T, Philippakis A, Rehm HL, Sofia HJ, Snyder G, Weng Z, Neale B, Sunyaev S, Lin X. FAVOR: functional annotation of variants online resource and annotator for variation across the human genome. Nucleic Acids Res 2023; 51:D1300-D1311. [PMID: 36350676 PMCID: PMC9825437 DOI: 10.1093/nar/gkac966] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/25/2022] [Accepted: 10/14/2022] [Indexed: 11/11/2022] Open
Abstract
Large biobank-scale whole genome sequencing (WGS) studies are rapidly identifying a multitude of coding and non-coding variants. They provide an unprecedented resource for illuminating the genetic basis of human diseases. Variant functional annotations play a critical role in WGS analysis, result interpretation, and prioritization of disease- or trait-associated causal variants. Existing functional annotation databases have limited scope to perform online queries and functionally annotate the genotype data of large biobank-scale WGS studies. We develop the Functional Annotation of Variants Online Resources (FAVOR) to meet these pressing needs. FAVOR provides a comprehensive multi-faceted variant functional annotation online portal that summarizes and visualizes findings of all possible nine billion single nucleotide variants (SNVs) across the genome. It allows for rapid variant-, gene- and region-level queries of variant functional annotations. FAVOR integrates variant functional information from multiple sources to describe the functional characteristics of variants and facilitates prioritizing plausible causal variants influencing human phenotypes. Furthermore, we provide a scalable annotation tool, FAVORannotator, to functionally annotate large-scale WGS studies and efficiently store the genotype and their variant functional annotation data in a single file using the annotated Genomic Data Structure (aGDS) format, making downstream analysis more convenient. FAVOR and FAVORannotator are available at https://favor.genohub.org.
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Affiliation(s)
- Hufeng Zhou
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Theodore Arapoglou
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xihao Li
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Zilin Li
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xiuwen Zheng
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jill Moore
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | | | - Sushant Kumar
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Elizabeth E Blue
- Division of Medical Genetics, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Steven Buyske
- Department of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Nancy Cox
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Mark Gerstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
| | - Eimear Kenny
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Tara Matise
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Anthony Philippakis
- Data Science Platform, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Heidi L Rehm
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Heidi J Sofia
- National Human Genome Research Institute, Bethesda, DC, USA
| | - Grace Snyder
- National Human Genome Research Institute, Bethesda, DC, USA
| | | | - Zhiping Weng
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Benjamin Neale
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Shamil R Sunyaev
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Statistics, Harvard University, Cambridge, MA, USA
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9
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Vy HMT, Lin BM, Gulamali FF, Kooperberg C, Graff M, Wong J, Campbell KN, Matise TC, Coresh J, Thomas F, Reiner AP, Nassir R, Schnatz PF, Johns T, Buyske S, Haiman C, Cooper R, Loos RJ, Horowitz CR, Gutierrez OM, Do R, Franceschini N, Nadkarni GN. Genome-Wide Epistatic Interaction between DEF1B and APOL1 High-Risk Genotypes for Chronic Kidney Disease. Clin J Am Soc Nephrol 2022; 17:1522-1525. [PMID: 35948364 PMCID: PMC9528279 DOI: 10.2215/cjn.03610322] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Ha My T. Vy
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Bridget M. Lin
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Faris F. Gulamali
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Jenny Wong
- Barbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kirk N. Campbell
- Barbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Tara C. Matise
- Department of Genetics, Rutgers University, New Brunswick, New Jersey
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Fridtjof Thomas
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Alexander P. Reiner
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Rami Nassir
- Department of Pathology, Umm Al-Qura University, Mecca, Saudi Arabia
| | - Peter F. Schnatz
- Department of Obstetrics and Gynecology, The Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Tanya Johns
- Division of Nephrology, Albert Einstein College of Medicine, Bronx, New York
| | - Steven Buyske
- Department of Genetics, Rutgers University, New Brunswick, New Jersey
| | - Christopher Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Richard Cooper
- Department of Public Health Sciences, Loyola University School of Public Health, Chicago, Illinois
| | - Ruth J.F. Loos
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Carol R. Horowitz
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Orlando M. Gutierrez
- Division of Nephrology, University of Alabama Heersink School of Medicine, Birmingham, Alabama
| | - Ron Do
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Nora Franceschini
- Barbara T. Murphy Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Girish N. Nadkarni
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- Division of Data Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, New York
- The Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, New York
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10
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Tcheandjieu C, Zhu X, Hilliard AT, Clarke SL, Napolioni V, Ma S, Lee KM, Fang H, Chen F, Lu Y, Tsao NL, Raghavan S, Koyama S, Gorman BR, Vujkovic M, Klarin D, Levin MG, Sinnott-Armstrong N, Wojcik GL, Plomondon ME, Maddox TM, Waldo SW, Bick AG, Pyarajan S, Huang J, Song R, Ho YL, Buyske S, Kooperberg C, Haessler J, Loos RJF, Do R, Verbanck M, Chaudhary K, North KE, Avery CL, Graff M, Haiman CA, Le Marchand L, Wilkens LR, Bis JC, Leonard H, Shen B, Lange LA, Giri A, Dikilitas O, Kullo IJ, Stanaway IB, Jarvik GP, Gordon AS, Hebbring S, Namjou B, Kaufman KM, Ito K, Ishigaki K, Kamatani Y, Verma SS, Ritchie MD, Kember RL, Baras A, Lotta LA, Kathiresan S, Hauser ER, Miller DR, Lee JS, Saleheen D, Reaven PD, Cho K, Gaziano JM, Natarajan P, Huffman JE, Voight BF, Rader DJ, Chang KM, Lynch JA, Damrauer SM, Wilson PWF, Tang H, Sun YV, Tsao PS, O'Donnell CJ, Assimes TL. Large-scale genome-wide association study of coronary artery disease in genetically diverse populations. Nat Med 2022; 28:1679-1692. [PMID: 35915156 PMCID: PMC9419655 DOI: 10.1038/s41591-022-01891-3] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 06/08/2022] [Indexed: 02/03/2023]
Abstract
We report a genome-wide association study (GWAS) of coronary artery disease (CAD) incorporating nearly a quarter of a million cases, in which existing studies are integrated with data from cohorts of white, Black and Hispanic individuals from the Million Veteran Program. We document near equivalent heritability of CAD across multiple ancestral groups, identify 95 novel loci, including nine on the X chromosome, detect eight loci of genome-wide significance in Black and Hispanic individuals, and demonstrate that two common haplotypes at the 9p21 locus are responsible for risk stratification in all populations except those of African origin, in which these haplotypes are virtually absent. Moreover, in the largest GWAS for angiographically derived coronary atherosclerosis performed to date, we find 15 loci of genome-wide significance that robustly overlap with established loci for clinical CAD. Phenome-wide association analyses of novel loci and polygenic risk scores (PRSs) augment signals related to insulin resistance, extend pleiotropic associations of these loci to include smoking and family history, and precisely document the markedly reduced transferability of existing PRSs to Black individuals. Downstream integrative analyses reinforce the critical roles of vascular endothelial, fibroblast, and smooth muscle cells in CAD susceptibility, but also point to a shared biology between atherosclerosis and oncogenesis. This study highlights the value of diverse populations in further characterizing the genetic architecture of CAD.
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Affiliation(s)
- Catherine Tcheandjieu
- VA Palo Alto Health Care System, Palo Alto, CA, USA.
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
| | - Xiang Zhu
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Statistics, Stanford University, Stanford, CA, USA
- Department of Statistics, The Pennsylvania State University, University Park, PA, USA
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA
| | | | - Shoa L Clarke
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Valerio Napolioni
- School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Shining Ma
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Kyung Min Lee
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Huaying Fang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Fei Chen
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Yingchang Lu
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Noah L Tsao
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sridharan Raghavan
- Medicine Service, VA Eastern Colorado Health Care System, Aurora, CO, USA
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Satoshi Koyama
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Bryan R Gorman
- VA Boston Healthcare System, Boston, MA, USA
- Booz Allen Hamilton, McLean, VA, USA
| | - Marijana Vujkovic
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Derek Klarin
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Vascular Surgery and Endovascular Therapy, University of Florida School of Medicine, Gainesville, FL, USA
- Stanford University School of Medicine, Stanford, CA, USA
| | - Michael G Levin
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Nasa Sinnott-Armstrong
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Genevieve L Wojcik
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Mary E Plomondon
- Department of Medicine, Rocky Mountain Regional VA Medical Center, Aurora, CO, USA
- CART Program, VHA Office of Quality and Patient Safety, Washington, DC, USA
| | - Thomas M Maddox
- Healthcare Innovation Lab, JC HealthCare/Washington University School of Medicine, St Louis, MO, USA
- Division of Cardiology, Washington University School of Medicine, St Louis, MO, USA
| | - Stephen W Waldo
- Department of Medicine, Rocky Mountain Regional VA Medical Center, Aurora, CO, USA
- CART Program, VHA Office of Quality and Patient Safety, Washington, DC, USA
- Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Alexander G Bick
- Department of Biomedical Informatics, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Saiju Pyarajan
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jie Huang
- VA Boston Healthcare System, Boston, MA, USA
- Department of Global Health, Peking University School of Public Health, Beijing, China
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | | | - Yuk-Lam Ho
- VA Boston Healthcare System, Boston, MA, USA
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, NJ, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ron Do
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marie Verbanck
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- EA 7537 BioSTM, Université de Paris, Paris, France
| | - Kumardeep Chaudhary
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Christy L Avery
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Loïc Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii, Honolulu, HI, USA
| | - Lynne R Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii, Honolulu, HI, USA
| | - Joshua C Bis
- Department of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Hampton Leonard
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Data Tecnica Int'l, LLC, Glen Echo, MD, USA
| | - Botong Shen
- Health Disparities Research Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Leslie A Lange
- Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ayush Giri
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Obstetrics and Gynecology, Division of Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ozan Dikilitas
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ian B Stanaway
- Department of Medicine, Division of Nephrology, University of Washington, Seattle, WA, USA
| | - Gail P Jarvik
- Department of Medicine, Medical Genetics, University of Washington School of Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Adam S Gordon
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Scott Hebbring
- Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Bahram Namjou
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kenneth M Kaufman
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Kaoru Ito
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Kazuyoshi Ishigaki
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences - The University of Tokyo, Tokyo, Japan
| | - Shefali S Verma
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rachel L Kember
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Aris Baras
- Regeneron Genetics Center, Tarrytown, NY, USA
| | | | - Sekar Kathiresan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
- Verve Therapeutics, Cambridge, MA, USA
| | - Elizabeth R Hauser
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA
| | - Donald R Miller
- Center for Healthcare Organization and Implementation Research, Bedford VA Healthcare System, Bedford, MA, USA
- Center for Population Health, Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA
| | - Jennifer S Lee
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Danish Saleheen
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, Division of Cardiology, Columbia University, New York, NY, USA
| | - Peter D Reaven
- Phoenix VA Health Care System, Phoenix, AZ, USA
- College of Medicine, University of Arizona, Phoenix, AZ, USA
| | - Kelly Cho
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Michael Gaziano
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | | | - Benjamin F Voight
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute of Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Daniel J Rader
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Julie A Lynch
- VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- College of Nursing and Health Sciences, University of Massachusetts, Boston, MA, USA
| | - Scott M Damrauer
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Peter W F Wilson
- Atlanta VA Medical Center, Atlanta, GA, USA
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Yan V Sun
- Atlanta VA Health Care System, Atlanta, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Philip S Tsao
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Christopher J O'Donnell
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Themistocles L Assimes
- VA Palo Alto Health Care System, Palo Alto, CA, USA.
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
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11
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Wong A, Zhou A, Cao X, Mahaganapathy V, Azaro M, Gwin C, Wilson S, Buyske S, Bartlett CW, Flax JF, Brzustowicz LM, Xing J. MicroRNA and MicroRNA-Target Variants Associated with Autism Spectrum Disorder and Related Disorders. Genes (Basel) 2022; 13:genes13081329. [PMID: 35893067 PMCID: PMC9329941 DOI: 10.3390/genes13081329] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 07/19/2022] [Accepted: 07/22/2022] [Indexed: 12/13/2022] Open
Abstract
Autism spectrum disorder (ASD) is a childhood neurodevelopmental disorder with a complex and heterogeneous genetic etiology. MicroRNA (miRNA), a class of small non-coding RNAs, could regulate ASD risk genes post-transcriptionally and affect broad molecular pathways related to ASD and associated disorders. Using whole-genome sequencing, we analyzed 272 samples in 73 families in the New Jersey Language and Autism Genetics Study (NJLAGS) cohort. Families with at least one ASD patient were recruited and were further assessed for language impairment, reading impairment, and other associated phenotypes. A total of 5104 miRNA variants and 1,181,148 3′ untranslated region (3′ UTR) variants were identified in the dataset. After applying several filtering criteria, including population allele frequency, brain expression, miRNA functional regions, and inheritance patterns, we identified high-confidence variants in five brain-expressed miRNAs (targeting 326 genes) and 3′ UTR miRNA target regions of 152 genes. Some genes, such as SCP2 and UCGC, were identified in multiple families. Using Gene Ontology overrepresentation analysis and protein–protein interaction network analysis, we identified clusters of genes and pathways that are important for neurodevelopment. The miRNAs and miRNA target genes identified in this study are potentially involved in neurodevelopmental disorders and should be considered for further functional studies.
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Affiliation(s)
- Anthony Wong
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Anbo Zhou
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Xiaolong Cao
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Vaidhyanathan Mahaganapathy
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Marco Azaro
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Christine Gwin
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Sherri Wilson
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Steven Buyske
- Department of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;
| | - Christopher W. Bartlett
- The Steve & Cindy Rasmussen Institute for Genomic Medicine, Battelle Center for Computational Biology, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH 43215, USA;
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Judy F. Flax
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
| | - Linda M. Brzustowicz
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
- Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Jinchuan Xing
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; (A.W.); (A.Z.); (X.C.); (V.M.); (M.A.); (C.G.); (S.W.); (J.F.F.); (L.M.B.)
- Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
- Correspondence:
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12
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Goswami C, Sheldon M, Bixby C, Keddache M, Bogdanowicz A, Wang Y, Schultz J, McDevitt J, LaPorta J, Kwon E, Buyske S, Garbolino D, Biloholowski G, Pastuszak A, Storella M, Bhalla A, Charlier-Rodriguez F, Hager R, Grimwood R, Nahas SA. Identification of SARS-CoV-2 variants using viral sequencing for the Centers for Disease Control and Prevention genomic surveillance program. BMC Infect Dis 2022; 22:404. [PMID: 35468749 PMCID: PMC9035976 DOI: 10.1186/s12879-022-07374-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 04/11/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Centers for Disease Control and Prevention contracted with laboratories to sequence the SARS-CoV-2 genome from positive samples across the United States to enable public health officials to investigate the impact of variants on disease severity as well as the effectiveness of vaccines and treatment. Herein we present the initial results correlating RT-PCR quality control metrics with sample collection and sequencing methods from full SARS-CoV-2 viral genomic sequencing of 24,441 positive patient samples between April and June 2021. METHODS RT-PCR confirmed (N Gene Ct value < 30) positive patient samples, with nucleic acid extracted from saliva, nasopharyngeal and oropharyngeal swabs were selected for viral whole genome SARS-CoV-2 sequencing. Sequencing was performed using Illumina COVIDSeq™ protocol on either the NextSeq550 or NovaSeq6000 systems. Informatic variant calling, and lineage analysis were performed using DRAGEN COVID Lineage applications on Illumina's Basespace cloud analytical system. All sequence data and variant calls were uploaded to NCBI and GISAID. RESULTS An association was observed between higher sequencing coverage, quality, and samples with a lower Ct value, with < 27 being optimal, across both sequencing platforms and sample collection methods. Both nasopharyngeal swabs and saliva samples were found to be optimal samples of choice for SARS-CoV-2 surveillance sequencing studies, both in terms of strain identification and sequencing depth of coverage, with NovaSeq 6000 providing higher coverage than the NextSeq 550. The most frequent variants identified were the B.1.617.2 Delta (India) and P.1 Gamma (Brazil) variants in the samples sequenced between April 2021 and June 2021. At the time of submission, the most common variant > 99% of positives sequenced was Omicron. CONCLUSION These initial analyses highlight the importance of sequencing platform, sample collection methods, and RT-PCR Ct values in guiding surveillance efforts. These surveillance studies evaluating genetic changes of SARS-CoV-2 have been identified as critical by the CDC that can affect many aspects of public health including transmission, disease severity, diagnostics, therapeutics, and vaccines.
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Affiliation(s)
- Chirayu Goswami
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - Michael Sheldon
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - Christian Bixby
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | | | | | - Yihe Wang
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - Jonathan Schultz
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - Jessica McDevitt
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - James LaPorta
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - Elaine Kwon
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - Steven Buyske
- Rutgers University, 559 Hill Center, 110 Frelinghuysen Rd, Piscataway, NJ, 08854, USA
| | - Dana Garbolino
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | | | - Alex Pastuszak
- Vault Health, 115 Broadway Suite 1800, 18th Floor, Dobbs Ferry, NY, 10522, USA
| | - Mary Storella
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - Amit Bhalla
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | | | - Russ Hager
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - Robin Grimwood
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA
| | - Shareef A Nahas
- Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
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13
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Highland HM, Wojcik GL, Graff M, Nishimura KK, Hodonsky CJ, Baldassari AR, Cote AC, Cheng I, Gignoux CR, Tao R, Li Y, Boerwinkle E, Fornage M, Haessler J, Hindorff LA, Hu Y, Justice AE, Lin BM, Lin D, Stram DO, Haiman CA, Kooperberg C, Le Marchand L, Matise TC, Kenny EE, Carlson CS, Stahl EA, Avery CL, North KE, Ambite JL, Buyske S, Loos RJ, Peters U, Young KL, Bien SA, Huckins LM. Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits. Am J Hum Genet 2022; 109:669-679. [PMID: 35263625 PMCID: PMC9069067 DOI: 10.1016/j.ajhg.2022.02.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 02/15/2022] [Indexed: 02/06/2023] Open
Abstract
One mechanism by which genetic factors influence complex traits and diseases is altering gene expression. Direct measurement of gene expression in relevant tissues is rarely tenable; however, genetically regulated gene expression (GReX) can be estimated using prediction models derived from large multi-omic datasets. These approaches have led to the discovery of many gene-trait associations, but whether models derived from predominantly European ancestry (EA) reference panels can map novel associations in ancestrally diverse populations remains unclear. We applied PrediXcan to impute GReX in 51,520 ancestrally diverse Population Architecture using Genomics and Epidemiology (PAGE) participants (35% African American, 45% Hispanic/Latino, 10% Asian, and 7% Hawaiian) across 25 key cardiometabolic traits and relevant tissues to identify 102 novel associations. We then compared associations in PAGE to those in a random subset of 50,000 White British participants from UK Biobank (UKBB50k) for height and body mass index (BMI). We identified 517 associations across 47 tissues in PAGE but not UKBB50k, demonstrating the importance of diverse samples in identifying trait-associated GReX. We observed that variants used in PrediXcan models were either more or less differentiated across continental-level populations than matched-control variants depending on the specific population reflecting sampling bias. Additionally, variants from identified genes specific to either PAGE or UKBB50k analyses were more ancestrally differentiated than those in genes detected in both analyses, underlining the value of population-specific discoveries. This suggests that while EA-derived transcriptome imputation models can identify new associations in non-EA populations, models derived from closely matched reference panels may yield further insights. Our findings call for more diversity in reference datasets of tissue-specific gene expression.
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Affiliation(s)
- Heather M Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.
| | - Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Katherine K Nishimura
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Chani J Hodonsky
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA; Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Antoine R Baldassari
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Alanna C Cote
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Christopher R Gignoux
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Yuqing Li
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX 77030, USA
| | - Myriam Fornage
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX 77030, USA; Brown Foundation Institute for Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center, Houston, TX 77030, USA
| | - Jeffrey Haessler
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Lucia A Hindorff
- Division of Genomic Medicine, NIH National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Yao Hu
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Anne E Justice
- Department of Population Health Sciences, Geisinger Health System, Danville, PA 17822, USA
| | - Bridget M Lin
- Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Danyu Lin
- Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Daniel O Stram
- Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Christopher A Haiman
- Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Charles Kooperberg
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; School of Public Health, University of Washington, Seattle, WA 98195, USA
| | | | - Tara C Matise
- Genetics, Rutgers University, New Brunswick, NJ 08901-8554, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Christopher S Carlson
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Eli A Stahl
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Christy L Avery
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Jose Luis Ambite
- Information Sciences Institute, University of Southern California, Marina del Rey, CA 90292, USA
| | - Steven Buyske
- Statistics, Rutgers University, New Brunswick, NJ 08901-8554, USA
| | - Ruth J Loos
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ulrike Peters
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; School of Public Health, University of Washington, Seattle, WA 98195, USA
| | - Kristin L Young
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Stephanie A Bien
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Laura M Huckins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mental Illness Research, Education and Clinical Centers, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY 14068, USA.
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14
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Baxter SM, Posey JE, Lake NJ, Sobreira N, Chong JX, Buyske S, Blue EE, Chadwick LH, Coban-Akdemir ZH, Doheny KF, Davis CP, Lek M, Wellington C, Jhangiani SN, Gerstein M, Gibbs RA, Lifton RP, MacArthur DG, Matise TC, Lupski JR, Valle D, Bamshad MJ, Hamosh A, Mane S, Nickerson DA, Rehm HL, O'Donnell-Luria A. Centers for Mendelian Genomics: A decade of facilitating gene discovery. Genet Med 2022; 24:784-797. [PMID: 35148959 PMCID: PMC9119004 DOI: 10.1016/j.gim.2021.12.005] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 12/08/2021] [Accepted: 12/12/2021] [Indexed: 12/27/2022] Open
Abstract
PURPOSE Mendelian disease genomic research has undergone a massive transformation over the past decade. With increasing availability of exome and genome sequencing, the role of Mendelian research has expanded beyond data collection, sequencing, and analysis to worldwide data sharing and collaboration. METHODS Over the past 10 years, the National Institutes of Health-supported Centers for Mendelian Genomics (CMGs) have played a major role in this research and clinical evolution. RESULTS We highlight the cumulative gene discoveries facilitated by the program, biomedical research leveraged by the approach, and the larger impact on the research community. Beyond generating a list of gene-phenotype relationships and participating in widespread data sharing, the CMGs have created resources, tools, and training for the larger community to foster understanding of genes and genome variation. The CMGs have participated in a wide range of data sharing activities, including deposition of all eligible CMG data into the Analysis, Visualization, and Informatics Lab-space (AnVIL), sharing candidate genes through the Matchmaker Exchange and the CMG website, and sharing variants in Genotypes to Mendelian Phenotypes (Geno2MP) and VariantMatcher. CONCLUSION The work is far from complete; strengthening communication between research and clinical realms, continued development and sharing of knowledge and tools, and improving access to richly characterized data sets are all required to diagnose the remaining molecularly undiagnosed patients.
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Affiliation(s)
- Samantha M Baxter
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Nicole J Lake
- Department of Genetics, Yale School of Medicine, New Haven, CT; Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Nara Sobreira
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jessica X Chong
- Department of Pediatrics, Division of Genetic Medicine, University of Washington and Seattle Children's Hospital, Seattle, WA; Brotman Baty Institute for Precision Medicine, Seattle, WA
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, NJ; Department of Genetics, Rutgers University, Piscataway, NJ
| | - Elizabeth E Blue
- Brotman Baty Institute for Precision Medicine, Seattle, WA; Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA
| | - Lisa H Chadwick
- Division of Genome Sciences, National Human Genome Research Institute, Bethesda, MD
| | - Zeynep H Coban-Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Kimberly F Doheny
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Colleen P Davis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | - Monkol Lek
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Genetics, Yale School of Medicine, New Haven, CT
| | | | | | - Mark Gerstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT
| | - Richard A Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Richard P Lifton
- Department of Genetics, Yale School of Medicine, New Haven, CT; Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY
| | - Daniel G MacArthur
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia; Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX; Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - David Valle
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Michael J Bamshad
- Department of Pediatrics, Division of Genetic Medicine, University of Washington and Seattle Children's Hospital, Seattle, WA; Brotman Baty Institute for Precision Medicine, Seattle, WA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | - Ada Hamosh
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Shrikant Mane
- Department of Genetics, Yale School of Medicine, New Haven, CT
| | - Deborah A Nickerson
- Brotman Baty Institute for Precision Medicine, Seattle, WA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | - Heidi L Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA.
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA; Department of Pediatrics, Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA.
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15
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Downie CG, Dimos SF, Bien SA, Hu Y, Darst BF, Polfus LM, Wang Y, Wojcik GL, Tao R, Raffield LM, Armstrong ND, Polikowsky HG, Below JE, Correa A, Irvin MR, Rasmussen-Torvik LJF, Carlson CS, Phillips LS, Liu S, Pankow JS, Rich SS, Rotter JI, Buyske S, Matise TC, North KE, Avery CL, Haiman CA, Loos RJF, Kooperberg C, Graff M, Highland HM. Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study. Diabetologia 2022; 65:477-489. [PMID: 34951656 PMCID: PMC8810722 DOI: 10.1007/s00125-021-05635-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 10/21/2021] [Indexed: 01/02/2023]
Abstract
AIMS/HYPOTHESIS Type 2 diabetes is a growing global public health challenge. Investigating quantitative traits, including fasting glucose, fasting insulin and HbA1c, that serve as early markers of type 2 diabetes progression may lead to a deeper understanding of the genetic aetiology of type 2 diabetes development. Previous genome-wide association studies (GWAS) have identified over 500 loci associated with type 2 diabetes, glycaemic traits and insulin-related traits. However, most of these findings were based only on populations of European ancestry. To address this research gap, we examined the genetic basis of fasting glucose, fasting insulin and HbA1c in participants of the diverse Population Architecture using Genomics and Epidemiology (PAGE) Study. METHODS We conducted a GWAS of fasting glucose (n = 52,267), fasting insulin (n = 48,395) and HbA1c (n = 23,357) in participants without diabetes from the diverse PAGE Study (23% self-reported African American, 46% Hispanic/Latino, 40% European, 4% Asian, 3% Native Hawaiian, 0.8% Native American), performing transethnic and population-specific GWAS meta-analyses, followed by fine-mapping to identify and characterise novel loci and independent secondary signals in known loci. RESULTS Four novel associations were identified (p < 5 × 10-9), including three loci associated with fasting insulin, and a novel, low-frequency African American-specific locus associated with fasting glucose. Additionally, seven secondary signals were identified, including novel independent secondary signals for fasting glucose at the known GCK locus and for fasting insulin at the known PPP1R3B locus in transethnic meta-analysis. CONCLUSIONS/INTERPRETATION Our findings provide new insights into the genetic architecture of glycaemic traits and highlight the continued importance of conducting genetic studies in diverse populations. DATA AVAILABILITY Full summary statistics from each of the population-specific and transethnic results are available at NHGRI-EBI GWAS catalog ( https://www.ebi.ac.uk/gwas/downloads/summary-statistics ).
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Affiliation(s)
- Carolina G Downie
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Sofia F Dimos
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephanie A Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yao Hu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Burcu F Darst
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Linda M Polfus
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
- Ambry Genetics, Aliso Viejo, CA, USA
| | - Yujie Wang
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nicole D Armstrong
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hannah G Polikowsky
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer E Below
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adolfo Correa
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laura J F Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christopher S Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lawrence S Phillips
- Atlanta VA Medical Center, Decatur, GA, USA
- Department of Medicine, Division of Endocrinology, Emory University School of Medicine, Atlanta, GA, USA
| | - Simin Liu
- Department of Medicine, Division of Endocrinology, Warren Alpert School of Medicine, Brown University, Providence, RI, USA
- Department of Epidemiology, Brown School of Public Health, Providence, RI, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- Department of Pediatrics, Genome Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, NJ, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christy L Avery
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Heather M Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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16
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Polfus LM, Darst BF, Highland H, Sheng X, Ng MCY, Below JE, Petty L, Bien S, Sim X, Wang W, Fontanillas P, Patel Y, Preuss M, Schurmann C, Du Z, Lu Y, Rhie SK, Mercader JM, Tusie-Luna T, González-Villalpando C, Orozco L, Spracklen CN, Cade BE, Jensen RA, Sun M, Joo YY, An P, Yanek LR, Bielak LF, Tajuddin S, Nicolas A, Chen G, Raffield L, Guo X, Chen WM, Nadkarni GN, Graff M, Tao R, Pankow JS, Daviglus M, Qi Q, Boerwinkle EA, Liu S, Phillips LS, Peters U, Carlson C, Wikens LR, Marchand LL, North KE, Buyske S, Kooperberg C, Loos RJF, Stram DO, Haiman CA. Genetic discovery and risk characterization in type 2 diabetes across diverse populations. HGG Adv 2021; 2. [PMID: 34604815 PMCID: PMC8486151 DOI: 10.1016/j.xhgg.2021.100029] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Genomic discovery and characterization of risk loci for type 2 diabetes (T2D) have been conducted primarily in individuals of European ancestry. We conducted a multiethnic genome-wide association study of T2D among 53,102 cases and 193,679 control subjects from African, Hispanic, Asian, Native Hawaiian, and European population groups in the Population Architecture Genomics and Epidemiology (PAGE) and Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortia. In individuals of African ancestry, we discovered a risk variant in the TGFB1 gene (rs11466334, risk allele frequency (RAF) = 6.8%, odds ratio [OR] = 1.27, p = 2.06 × 10−8), which replicated in independent studies of African ancestry (p = 6.26 × 10−23). We identified a multiethnic risk variant in the BACE2 gene (rs13052926, RAF = 14.1%, OR = 1.08, p = 5.75 × 10−9), which also replicated in independent studies (p = 3.45 × 10−4). We also observed a significant difference in the performance of a multiethnic genetic risk score (GRS) across population groups (pheterogeneity = 3.85 × 10−20). Comparing individuals in the top GRS risk category (40%–60%), the OR was highest in Asians (OR = 3.08) and European (OR = 2.94) ancestry populations, followed by Hispanic (OR = 2.39), Native Hawaiian (OR = 2.02), and African ancestry (OR = 1.57) populations. These findings underscore the importance of genetic discovery and risk characterization in diverse populations and the urgent need to further increase representation of non-European ancestry individuals in genetics research to improve genetic-based risk prediction across populations.
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Affiliation(s)
- Linda M Polfus
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA.,These authors contributed equally
| | - Burcu F Darst
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA.,These authors contributed equally
| | - Heather Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Xin Sheng
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Maggie C Y Ng
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer E Below
- The Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lauren Petty
- The Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | | | | | - Yesha Patel
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Michael Preuss
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, USA
| | - Claudia Schurmann
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, USA
| | - Zhaohui Du
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Yingchang Lu
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Suhn K Rhie
- Department of Biochemistry and Molecular Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Teresa Tusie-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
| | - Clicerio González-Villalpando
- Centro de Estudios en Diabetes, Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Pública, Mexico City, Mexico
| | - Lorena Orozco
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Cassandra N Spracklen
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Richard A Jensen
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Meng Sun
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK, USA
| | - Yoonjung Yoonie Joo
- Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Ping An
- Division of Statistical Genomics, School of Medicine, Washington University, St. Louis, MO, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Salman Tajuddin
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Aude Nicolas
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Institute, National Institutes of Health, Bethesda, MD, USA
| | - Laura Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wei-Min Chen
- Department of Public Health Sciences and Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Girish N Nadkarni
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, USA
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, Chicago, IL, USA
| | - Qibin Qi
- Center for Population Cohorts, Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Eric A Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, TX, USA
| | - Simin Liu
- School of Public Health, Brown University, Providence, RI, USA
| | - Lawrence S Phillips
- Atlanta VA Medical Center, Decatur, GA, USA.,Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Ulrike Peters
- Division of Public Health Sciences, University of Washington, Department of Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Chris Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lynne R Wikens
- University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Loic Le Marchand
- University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, NJ, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ruth J F Loos
- Icahn School of Medicine at Mount Sinai, The Mindich Child Health and Development Institute, The Charles Bronfman Institute for Personalized Medicine, New York, NY, USA
| | - Daniel O Stram
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
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17
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Abel HJ, Larson DE, Regier AA, Chiang C, Das I, Kanchi KL, Layer RM, Neale BM, Salerno WJ, Reeves C, Buyske S, Matise TC, Muzny DM, Zody MC, Lander ES, Dutcher SK, Stitziel NO, Hall IM. Mapping and characterization of structural variation in 17,795 human genomes. Nature 2020; 583:83-89. [PMID: 32460305 PMCID: PMC7547914 DOI: 10.1038/s41586-020-2371-0] [Citation(s) in RCA: 139] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Accepted: 05/18/2020] [Indexed: 12/18/2022]
Abstract
A key goal of whole-genome sequencing for studies of human genetics is to interrogate all forms of variation, including single-nucleotide variants, small insertion or deletion (indel) variants and structural variants. However, tools and resources for the study of structural variants have lagged behind those for smaller variants. Here we used a scalable pipeline1 to map and characterize structural variants in 17,795 deeply sequenced human genomes. We publicly release site-frequency data to create the largest, to our knowledge, whole-genome-sequencing-based structural variant resource so far. On average, individuals carry 2.9 rare structural variants that alter coding regions; these variants affect the dosage or structure of 4.2 genes and account for 4.0-11.2% of rare high-impact coding alleles. Using a computational model, we estimate that structural variants account for 17.2% of rare alleles genome-wide, with predicted deleterious effects that are equivalent to loss-of-function coding alleles; approximately 90% of such structural variants are noncoding deletions (mean 19.1 per genome). We report 158,991 ultra-rare structural variants and show that 2% of individuals carry ultra-rare megabase-scale structural variants, nearly half of which are balanced or complex rearrangements. Finally, we infer the dosage sensitivity of genes and noncoding elements, and reveal trends that relate to element class and conservation. This work will help to guide the analysis and interpretation of structural variants in the era of whole-genome sequencing.
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Affiliation(s)
- Haley J Abel
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - David E Larson
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Allison A Regier
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Colby Chiang
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Indraniel Das
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Krishna L Kanchi
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
| | - Ryan M Layer
- BioFrontiers Institute, University of Colorado, Boulder, CO, USA
- Department of Computer Science, University of Colorado, Boulder, CO, USA
| | - Benjamin M Neale
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - William J Salerno
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, NJ, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Susan K Dutcher
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Nathan O Stitziel
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Ira M Hall
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, USA.
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA.
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA.
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18
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Popovitchenko T, Park Y, Page NF, Luo X, Krsnik Z, Liu Y, Salamon I, Stephenson JD, Kraushar ML, Volk NL, Patel SM, Wijeratne HRS, Li D, Suthar KS, Wach A, Sun M, Arnold SJ, Akamatsu W, Okano H, Paillard L, Zhang H, Buyske S, Kostovic I, De Rubeis S, Hart RP, Rasin MR. Translational derepression of Elavl4 isoforms at their alternative 5' UTRs determines neuronal development. Nat Commun 2020; 11:1674. [PMID: 32245946 PMCID: PMC7125149 DOI: 10.1038/s41467-020-15412-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 03/05/2020] [Indexed: 12/20/2022] Open
Abstract
Neurodevelopment requires precise regulation of gene expression, including post-transcriptional regulatory events such as alternative splicing and mRNA translation. However, translational regulation of specific isoforms during neurodevelopment and the mechanisms behind it remain unknown. Using RNA-seq analysis of mouse neocortical polysomes, here we report translationally repressed and derepressed mRNA isoforms during neocortical neurogenesis whose orthologs include risk genes for neurodevelopmental disorders. We demonstrate that the translation of distinct mRNA isoforms of the RNA binding protein (RBP), Elavl4, in radial glia progenitors and early neurons depends on its alternative 5' UTRs. Furthermore, 5' UTR-driven Elavl4 isoform-specific translation depends on upstream control by another RBP, Celf1. Celf1 regulation of Elavl4 translation dictates development of glutamatergic neurons. Our findings reveal a dynamic interplay between distinct RBPs and alternative 5' UTRs in neuronal development and underscore the risk of post-transcriptional dysregulation in co-occurring neurodevelopmental disorders.
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Affiliation(s)
- Tatiana Popovitchenko
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
- Graduate Program in Neurosciences, Rutgers University, Piscataway, NJ, 08854, USA
| | - Yongkyu Park
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Nicholas F Page
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, 08854, USA
| | - Xiaobing Luo
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Zeljka Krsnik
- Croatian Institute for Brain Research, Center of Research Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, School of Medicine, Zagreb, 10000, Croatia
| | - Yuan Liu
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
- Graduate Program in Neurosciences, Rutgers University, Piscataway, NJ, 08854, USA
| | - Iva Salamon
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
- Graduate Program in Neurosciences, Rutgers University, Piscataway, NJ, 08854, USA
- Croatian Institute for Brain Research, Center of Research Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, School of Medicine, Zagreb, 10000, Croatia
| | - Jessica D Stephenson
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Matthew L Kraushar
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
- Graduate Program in Neurosciences, Rutgers University, Piscataway, NJ, 08854, USA
| | - Nicole L Volk
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Sejal M Patel
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - H R Sagara Wijeratne
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Diana Li
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Kandarp S Suthar
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Aaron Wach
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Miao Sun
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Sebastian J Arnold
- Institute of Experimental and Clinical Pharmacology and Toxicology, Faculty of Medicine, Signaling Research Centers BIOSS and CIBSS, University of Freiburg, Freiburg, D-79104, Germany
| | - Wado Akamatsu
- Department of Physiology, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Luc Paillard
- Univ Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes)-UMR 6290, F-35000, Rennes, France
| | - Huaye Zhang
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, NJ, 08854, USA
| | - Ivica Kostovic
- Croatian Institute for Brain Research, Center of Research Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, School of Medicine, Zagreb, 10000, Croatia
| | - Silvia De Rubeis
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
- Seaver Autism Center, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ronald P Hart
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, 08854, USA
| | - Mladen-Roko Rasin
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA.
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19
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Hu Y, Graff M, Haessler J, Buyske S, Bien SA, Tao R, Highland HM, Nishimura KK, Zubair N, Lu Y, Verbanck M, Hilliard AT, Klarin D, Damrauer SM, Ho YL, Wilson PWF, Chang KM, Tsao PS, Cho K, O’Donnell CJ, Assimes TL, Petty LE, Below JE, Dikilitas O, Schaid DJ, Kosel ML, Kullo IJ, Rasmussen-Torvik LJ, Jarvik GP, Feng Q, Wei WQ, Larson EB, Mentch FD, Almoguera B, Sleiman PM, Raffield LM, Correa A, Martin LW, Daviglus M, Matise TC, Ambite JL, Carlson CS, Do R, Loos RJF, Wilkens LR, Le Marchand L, Haiman C, Stram DO, Hindorff LA, North KE, Kooperberg C, Cheng I, Peters U. Minority-centric meta-analyses of blood lipid levels identify novel loci in the Population Architecture using Genomics and Epidemiology (PAGE) study. PLoS Genet 2020; 16:e1008684. [PMID: 32226016 PMCID: PMC7145272 DOI: 10.1371/journal.pgen.1008684] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 04/09/2020] [Accepted: 02/19/2020] [Indexed: 11/18/2022] Open
Abstract
Lipid levels are important markers for the development of cardio-metabolic diseases. Although hundreds of associated loci have been identified through genetic association studies, the contribution of genetic factors to variation in lipids is not fully understood, particularly in U.S. minority groups. We performed genome-wide association analyses for four lipid traits in over 45,000 ancestrally diverse participants from the Population Architecture using Genomics and Epidemiology (PAGE) Study, followed by a meta-analysis with several European ancestry studies. We identified nine novel lipid loci, five of which showed evidence of replication in independent studies. Furthermore, we discovered one novel gene in a PrediXcan analysis, minority-specific independent signals at eight previously reported loci, and potential functional variants at two known loci through fine-mapping. Systematic examination of known lipid loci revealed smaller effect estimates in African American and Hispanic ancestry populations than those in Europeans, and better performance of polygenic risk scores based on minority-specific effect estimates. Our findings provide new insight into the genetic architecture of lipid traits and highlight the importance of conducting genetic studies in diverse populations in the era of precision medicine. Blood lipid levels are closely linked to cardio-metabolic diseases, and genetic factors play an important role in their metabolism and regulation. Although over 400 loci have been identified through genetic association studies, the genetic architecture of lipid levels is not fully characterized. The lack of representation of diverse populations in previous studies resulted in a large gap in understanding the genetic background of lipid traits between European and minority populations, including African Americans, Hispanics, Hawaiians, and Native Americans. In our current analyses which included ancestrally diverse populations, we identified nine novel loci, one novel gene, and minority-specific independent signals at eight known loci, and pinpointed potential functional variants at two known loci. We further observed smaller effect sizes of reported lipids-associated loci in African Americans and Hispanics than those in Europeans, and better performance of polygenic risk scores using minority-specific instead of European-derived effect sizes when estimating genetic predisposition in minority populations. Our findings showed the benefits of including multi-ethnic studies in identification and refinement of lipids-associated loci, which will help to reduce the existing disparities and to pave the road to precision medicine.
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Affiliation(s)
- Yao Hu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Jeffrey Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Steven Buyske
- Department of Statistics and Biostatistics, Rutgers University, New Brunswick, New Jersey, United States of America
| | - Stephanie A. Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- The Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Heather M. Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Katherine K. Nishimura
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Niha Zubair
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Marie Verbanck
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Austin T. Hilliard
- Palo Alto Veterans Institute for Research, VA Palo Alto Health Care System, Palo Alto, California, United States of America
| | - Derek Klarin
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Boston VA Healthcare System, Boston, Massachusetts, United States of America
| | - Scott M. Damrauer
- Emory Clinical Cardiovascular Research Institute, Atlanta, Georgia, United States of America
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | | | - Peter W. F. Wilson
- Emory Clinical Cardiovascular Research Institute, Atlanta, Georgia, United States of America
- Atlanta VA Medical Center, Decatur, Georgia, United States of America
| | - Kyong-Mi Chang
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Philip S. Tsao
- Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America
- VA Palo Alto Health Care System, Palo Alto, California, United States of America
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Christopher J. O’Donnell
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Themistocles L. Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America
- VA Palo Alto Health Care System, Palo Alto, California, United States of America
| | - Lauren E. Petty
- The Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas School of Public Health, Houston, Texas, United States of America
| | - Jennifer E. Below
- The Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas School of Public Health, Houston, Texas, United States of America
| | - Ozan Dikilitas
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Daniel J. Schaid
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Matthew L. Kosel
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Iftikhar J. Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Laura J. Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Gail P. Jarvik
- Department of Medicine, University of Washington Medical Center, Seattle, Washington, United States of America
| | - Qiping Feng
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Wei-Qi Wei
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Eric B. Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, United States of America
| | - Frank D. Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Berta Almoguera
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Patrick M. Sleiman
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Adolfo Correa
- Departments of Medicine, Pediatrics, and Population Health Science, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Lisa W. Martin
- School of Medicine and Health Sciences, George Washington University, Washington, District of Columbia, United States of America
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, Illinois, United States of America
- Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Tara C. Matise
- Department of Statistics and Biostatistics, Rutgers University, New Brunswick, New Jersey, United States of America
| | - Jose Luis Ambite
- Information Sciences Institute, University of Southern California, Marina del Rey, California, United States of America
| | - Christopher S. Carlson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Lynne R. Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Chris Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Daniel O. Stram
- Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Lucia A. Hindorff
- Division of Genomic Medicine, NIH National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Kari E. North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, California, United States of America
- * E-mail: (IC); (UP)
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- * E-mail: (IC); (UP)
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20
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Pendergrass SA, Buyske S, Jeff JM, Frase A, Dudek S, Bradford Y, Ambite JL, Avery CL, Buzkova P, Deelman E, Fesinmeyer MD, Haiman C, Heiss G, Hindorff LA, Hsu CN, Jackson RD, Lin Y, Le Marchand L, Matise TC, Monroe KR, Moreland L, North KE, Park SL, Reiner A, Wallace R, Wilkens LR, Kooperberg C, Ritchie MD, Crawford DC. A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans. PLoS One 2019; 14:e0226771. [PMID: 31891604 PMCID: PMC6938343 DOI: 10.1371/journal.pone.0226771] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 12/03/2019] [Indexed: 12/11/2022] Open
Abstract
We performed a hypothesis-generating phenome-wide association study (PheWAS) to identify and characterize cross-phenotype associations, where one SNP is associated with two or more phenotypes, between thousands of genetic variants assayed on the Metabochip and hundreds of phenotypes in 5,897 African Americans as part of the Population Architecture using Genomics and Epidemiology (PAGE) I study. The PAGE I study was a National Human Genome Research Institute-funded collaboration of four study sites accessing diverse epidemiologic studies genotyped on the Metabochip, a custom genotyping chip that has dense coverage of regions in the genome previously associated with cardio-metabolic traits and outcomes in mostly European-descent populations. Here we focus on identifying novel phenome-genome relationships, where SNPs are associated with more than one phenotype. To do this, we performed a PheWAS, testing each SNP on the Metabochip for an association with up to 273 phenotypes in the participating PAGE I study sites. We identified 133 putative pleiotropic variants, defined as SNPs associated at an empirically derived p-value threshold of p<0.01 in two or more PAGE study sites for two or more phenotype classes. We further annotated these PheWAS-identified variants using publicly available functional data and local genetic ancestry. Amongst our novel findings is SPARC rs4958487, associated with increased glucose levels and hypertension. SPARC has been implicated in the pathogenesis of diabetes and is also known to have a potential role in fibrosis, a common consequence of multiple conditions including hypertension. The SPARC example and others highlight the potential that PheWAS approaches have in improving our understanding of complex disease architecture by identifying novel relationships between genetic variants and an array of common human phenotypes.
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Affiliation(s)
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, New Jersey, United States of America
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Janina M. Jeff
- Illumina, Inc., San Diego, California, United States of America
| | - Alex Frase
- Department of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Scott Dudek
- Department of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Yuki Bradford
- Department of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jose-Luis Ambite
- Information Sciences Institute; University of Southern California, Marina del Rey, California, United States of America
| | - Christy L. Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Petra Buzkova
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Ewa Deelman
- Information Sciences Institute; University of Southern California, Marina del Rey, California, United States of America
| | | | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Lucia A. Hindorff
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Chun-Nan Hsu
- Center for Research in Biological Systems, Department of Neurosciences, University of California, San Diego, La Jolla, California, United States of America
| | | | - Yi Lin
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Tara C. Matise
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Kristine R. Monroe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Larry Moreland
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Sungshim L. Park
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Alex Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Robert Wallace
- Departments of Epidemiology and Internal Medicine, University of Iowa, Iowa City, Iowa, United States of America
| | - Lynne R. Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Marylyn D. Ritchie
- Department of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Dana C. Crawford
- Cleveland Institute for Computational Biology, Cleveland, Ohio, United States of America
- Departments of Population and Quantitative Health Sciences and Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
- * E-mail:
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21
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Bartlett CW, Klamer BG, Buyske S, Petrill SA, Ray WC. Forming Big Datasets through Latent Class Concatenation of Imperfectly Matched Databases Features. Genes (Basel) 2019; 10:genes10090727. [PMID: 31546899 PMCID: PMC6771148 DOI: 10.3390/genes10090727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 09/03/2019] [Accepted: 09/16/2019] [Indexed: 12/02/2022] Open
Abstract
Informatics researchers often need to combine data from many different sources to increase statistical power and study subtle or complicated effects. Perfect overlap of measurements across academic studies is rare since virtually every dataset is collected for a unique purpose and without coordination across parties not-at-hand (i.e., informatics researchers in the future). Thus, incomplete concordance of measurements across datasets poses a major challenge for researchers seeking to combine public databases. In any given field, some measurements are fairly standard, but every organization collecting data makes unique decisions on instruments, protocols, and methods of processing the data. This typically denies literal concatenation of the raw data since constituent cohorts do not have the same measurements (i.e., columns of data). When measurements across datasets are similar prima facie, there is a desire to combine the data to increase power, but mixing non-identical measurements could greatly reduce the sensitivity of the downstream analysis. Here, we discuss a statistical method that is applicable when certain patterns of missing data are found; namely, it is possible to combine datasets that measure the same underlying constructs (or latent traits) when there is only partial overlap of measurements across the constituent datasets. Our method, ROSETTA empirically derives a set of common latent trait metrics for each related measurement domain using a novel variation of factor analysis to ensure equivalence across the constituent datasets. The advantage of combining datasets this way is the simplicity, statistical power, and modeling flexibility of a single joint analysis of all the data. Three simulation studies show the performance of ROSETTA on datasets with only partially overlapping measurements (i.e., systematically missing information), benchmarked to a condition of perfectly overlapped data (i.e., full information). The first study examined a range of correlations, while the second study was modeled after the observed correlations in a well-characterized clinical, behavioral cohort. Both studies consistently show significant correlations >0.94, often >0.96, indicating the robustness of the method and validating the general approach. The third study varied within and between domain correlations and compared ROSETTA to multiple imputation and meta-analysis as two commonly used methods that ostensibly solve the same data integration problem. We provide one alternative to meta-analysis and multiple imputation by developing a method that statistically equates similar but distinct manifest metrics into a set of empirically derived metrics that can be used for analysis across all datasets.
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Affiliation(s)
- Christopher W Bartlett
- Battelle Center for Mathematical Medicine, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH 43215, USA.
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH 43215, USA.
| | - Brett G Klamer
- Battelle Center for Mathematical Medicine, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH 43215, USA
| | - Steven Buyske
- Departments of Statistics and Genetics, Rutgers University, Piscataway, NJ 08854, USA
| | - Stephen A Petrill
- Department of Psychology, College of Arts and Sciences, The Ohio State University, Columbus, OH 43210, USA
| | - William C Ray
- Battelle Center for Mathematical Medicine, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH 43215, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH 43215, USA
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22
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Wojcik GL, Graff M, Nishimura KK, Tao R, Haessler J, Gignoux CR, Highland HM, Patel YM, Sorokin EP, Avery CL, Belbin GM, Bien SA, Cheng I, Cullina S, Hodonsky CJ, Hu Y, Huckins LM, Jeff J, Justice AE, Kocarnik JM, Lim U, Lin BM, Lu Y, Nelson SC, Park SSL, Poisner H, Preuss MH, Richard MA, Schurmann C, Setiawan VW, Sockell A, Vahi K, Verbanck M, Vishnu A, Walker RW, Young KL, Zubair N, Acuña-Alonso V, Ambite JL, Barnes KC, Boerwinkle E, Bottinger EP, Bustamante CD, Caberto C, Canizales-Quinteros S, Conomos MP, Deelman E, Do R, Doheny K, Fernández-Rhodes L, Fornage M, Hailu B, Heiss G, Henn BM, Hindorff LA, Jackson RD, Laurie CA, Laurie CC, Li Y, Lin DY, Moreno-Estrada A, Nadkarni G, Norman PJ, Pooler LC, Reiner AP, Romm J, Sabatti C, Sandoval K, Sheng X, Stahl EA, Stram DO, Thornton TA, Wassel CL, Wilkens LR, Winkler CA, Yoneyama S, Buyske S, Haiman CA, Kooperberg C, Le Marchand L, Loos RJF, Matise TC, North KE, Peters U, Kenny EE, Carlson CS. Genetic analyses of diverse populations improves discovery for complex traits. Nature 2019; 570:514-518. [PMID: 31217584 DOI: 10.1038/s41586-019-1310-4] [Citation(s) in RCA: 511] [Impact Index Per Article: 102.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 05/15/2019] [Indexed: 12/20/2022]
Abstract
Genome-wide association studies (GWAS) have laid the foundation for investigations into the biology of complex traits, drug development and clinical guidelines. However, the majority of discovery efforts are based on data from populations of European ancestry1-3. In light of the differential genetic architecture that is known to exist between populations, bias in representation can exacerbate existing disease and healthcare disparities. Critical variants may be missed if they have a low frequency or are completely absent in European populations, especially as the field shifts its attention towards rare variants, which are more likely to be population-specific4-10. Additionally, effect sizes and their derived risk prediction scores derived in one population may not accurately extrapolate to other populations11,12. Here we demonstrate the value of diverse, multi-ethnic participants in large-scale genomic studies. The Population Architecture using Genomics and Epidemiology (PAGE) study conducted a GWAS of 26 clinical and behavioural phenotypes in 49,839 non-European individuals. Using strategies tailored for analysis of multi-ethnic and admixed populations, we describe a framework for analysing diverse populations, identify 27 novel loci and 38 secondary signals at known loci, as well as replicate 1,444 GWAS catalogue associations across these traits. Our data show evidence of effect-size heterogeneity across ancestries for published GWAS associations, substantial benefits for fine-mapping using diverse cohorts and insights into clinical implications. In the United States-where minority populations have a disproportionately higher burden of chronic conditions13-the lack of representation of diverse populations in genetic research will result in inequitable access to precision medicine for those with the highest burden of disease. We strongly advocate for continued, large genome-wide efforts in diverse populations to maximize genetic discovery and reduce health disparities.
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Affiliation(s)
- Genevieve L Wojcik
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Katherine K Nishimura
- Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jeffrey Haessler
- Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Christopher R Gignoux
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.,Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Heather M Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yesha M Patel
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elena P Sorokin
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Christy L Avery
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gillian M Belbin
- The Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stephanie A Bien
- Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Sinead Cullina
- The Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Chani J Hodonsky
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yao Hu
- Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Laura M Huckins
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Janina Jeff
- The Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jonathan M Kocarnik
- Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Bridget M Lin
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yingchang Lu
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Sung-Shim L Park
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Hannah Poisner
- The Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael H Preuss
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa A Richard
- Brown Foundation Institute for Molecular Medicine, The University of Texas Health Science Center, Houston, TX, USA
| | - Claudia Schurmann
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Hasso-Plattner-Institute for Digital Engineering, Digital Health Center, Potsdam, Germany.,Hasso-Plattner-Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Veronica W Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Alexandra Sockell
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Karan Vahi
- Information Sciences Institute, University of Southern California, Marina del Rey, CA, USA
| | - Marie Verbanck
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Abhishek Vishnu
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ryan W Walker
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kristin L Young
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Niha Zubair
- Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Jose Luis Ambite
- Information Sciences Institute, University of Southern California, Marina del Rey, CA, USA
| | - Kathleen C Barnes
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
| | - Erwin P Bottinger
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Hasso-Plattner-Institute for Digital Engineering, Digital Health Center, Potsdam, Germany.,Hasso-Plattner-Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carlos D Bustamante
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Christian Caberto
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ewa Deelman
- Information Sciences Institute, University of Southern California, Marina del Rey, CA, USA
| | - Ron Do
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kimberly Doheny
- Center for Inherited Disease Research, Johns Hopkins University, Baltimore, MD, USA
| | - Lindsay Fernández-Rhodes
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA
| | - Myriam Fornage
- Brown Foundation Institute for Molecular Medicine, The University of Texas Health Science Center, Houston, TX, USA
| | - Benyam Hailu
- NIH National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brenna M Henn
- Department of Anthropology, University of California Davis, Davis, CA, USA
| | | | - Rebecca D Jackson
- Center for Clinical and Translational Science, Ohio State Medical Center, Columbus, OH, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Yuqing Li
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Cancer Prevention Institute of California, Fremont, CA, USA
| | - Dan-Yu Lin
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Girish Nadkarni
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Paul J Norman
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Loreall C Pooler
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Jane Romm
- Center for Inherited Disease Research, Johns Hopkins University, Baltimore, MD, USA
| | - Chiara Sabatti
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Karla Sandoval
- National Laboratory of Genomics for Biodiversity (UGA-LANGEBIO), Irapuato, Mexico
| | - Xin Sheng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eli A Stahl
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Cheryl A Winkler
- Basic Science Program, Frederick National Laboratory, Frederick, MD, USA
| | - Sachi Yoneyama
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Steven Buyske
- Department of Statistics, Rutgers University, New Brunswick, NJ, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Charles Kooperberg
- Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, New Brunswick, NJ, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ulrike Peters
- Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Eimear E Kenny
- The Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Christopher S Carlson
- Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
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23
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Lin BM, Nadkarni GN, Tao R, Graff M, Fornage M, Buyske S, Matise TC, Highland HM, Wilkens LR, Carlson CS, Park SL, Setiawan VW, Ambite JL, Heiss G, Boerwinkle E, Lin DY, Morris AP, Loos RJF, Kooperberg C, North KE, Wassel CL, Franceschini N. Genetics of Chronic Kidney Disease Stages Across Ancestries: The PAGE Study. Front Genet 2019; 10:494. [PMID: 31178898 PMCID: PMC6544117 DOI: 10.3389/fgene.2019.00494] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 05/06/2019] [Indexed: 12/20/2022] Open
Abstract
Background Chronic kidney disease (CKD) is common and disproportionally burdens United States ethnic minorities. Its genetic determinants may differ by disease severity and clinical stages. To uncover genetic factors associated CKD severity among high-risk ethnic groups, we performed genome-wide association studies (GWAS) in diverse populations within the Population Architecture using Genomics and Epidemiology (PAGE) study. Methods We assembled multi-ethnic genome-wide imputed data on CKD non-overlapping cases [4,150 mild to moderate CKD, 1,105 end-stage kidney disease (ESKD)] and non-CKD controls for up to 41,041 PAGE participants (African Americans, Hispanics/Latinos, East Asian, Native Hawaiian, and American Indians). We implemented a generalized estimating equation approach for GWAS using ancestry combined data while adjusting for age, sex, principal components, study, and ethnicity. Results The GWAS identified a novel genome-wide associated locus for mild to moderate CKD nearby NMT2 (rs10906850, p = 3.7 × 10-8) that replicated in the United Kingdom Biobank white British (p = 0.008). Several variants at the APOL1 locus were associated with ESKD including the APOL1 G1 rs73885319 (p = 1.2 × 10-9). There was no overlap among associated loci for CKD and ESKD traits, even at the previously reported APOL1 locus (p = 0.76 for CKD). Several additional loci were associated with CKD or ESKD at p-values below the genome-wide threshold. These loci were often driven by variants more common in non-European ancestry. Conclusion Our genetic study identified a novel association at NMT2 for CKD and showed for the first time strong associations of the APOL1 variants with ESKD across multi-ethnic populations. Our findings suggest differences in genetic effects across CKD severity and provide information for study design of genetic studies of CKD in diverse populations.
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Affiliation(s)
- Bridget M Lin
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Girish N Nadkarni
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States.,Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Myriam Fornage
- The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, NJ, United States
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, United States
| | - Heather M Highland
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States
| | - Christopher S Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.,Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - S Lani Park
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - V Wendy Setiawan
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Jose Luis Ambite
- Information Sciences Institute, University of Southern California, Marina del Rey, CA, United States
| | - Gerardo Heiss
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Eric Boerwinkle
- The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Dan-Yu Lin
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool, United Kingdom.,Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | | | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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24
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Posey JE, O'Donnell-Luria AH, Chong JX, Harel T, Jhangiani SN, Coban Akdemir ZH, Buyske S, Pehlivan D, Carvalho CMB, Baxter S, Sobreira N, Liu P, Wu N, Rosenfeld JA, Kumar S, Avramopoulos D, White JJ, Doheny KF, Witmer PD, Boehm C, Sutton VR, Muzny DM, Boerwinkle E, Günel M, Nickerson DA, Mane S, MacArthur DG, Gibbs RA, Hamosh A, Lifton RP, Matise TC, Rehm HL, Gerstein M, Bamshad MJ, Valle D, Lupski JR. Insights into genetics, human biology and disease gleaned from family based genomic studies. Genet Med 2019; 21:798-812. [PMID: 30655598 PMCID: PMC6691975 DOI: 10.1038/s41436-018-0408-7] [Citation(s) in RCA: 115] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 12/05/2018] [Indexed: 12/16/2022] Open
Abstract
Identifying genes and variants contributing to rare disease phenotypes and Mendelian conditions informs biology and medicine, yet potential phenotypic consequences for variation of >75% of the ~20,000 annotated genes in the human genome are lacking. Technical advances to assess rare variation genome-wide, particularly exome sequencing (ES), enabled establishment in the United States of the National Institutes of Health (NIH)-supported Centers for Mendelian Genomics (CMGs) and have facilitated collaborative studies resulting in novel "disease gene" discoveries. Pedigree-based genomic studies and rare variant analyses in families with suspected Mendelian conditions have led to the elucidation of hundreds of novel disease genes and highlighted the impact of de novo mutational events, somatic variation underlying nononcologic traits, incompletely penetrant alleles, phenotypes with high locus heterogeneity, and multilocus pathogenic variation. Herein, we highlight CMG collaborative discoveries that have contributed to understanding both rare and common diseases and discuss opportunities for future discovery in single-locus Mendelian disorder genomics. Phenotypic annotation of all human genes; development of bioinformatic tools and analytic methods; exploration of non-Mendelian modes of inheritance including reduced penetrance, multilocus variation, and oligogenic inheritance; construction of allelic series at a locus; enhanced data sharing worldwide; and integration with clinical genomics are explored. Realizing the full contribution of rare disease research to functional annotation of the human genome, and further illuminating human biology and health, will lay the foundation for the Precision Medicine Initiative.
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Affiliation(s)
- Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Anne H O'Donnell-Luria
- Analytic and Translational Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Boston Children's Hospital, Boston, MA, USA
| | - Jessica X Chong
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Tamar Harel
- Department of Genetic and Metabolic Diseases, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Shalini N Jhangiani
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Zeynep H Coban Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
- Department of Statistics, Rutgers University, Piscataway, NJ, USA
| | - Davut Pehlivan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Samantha Baxter
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nara Sobreira
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Pengfei Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor Genetics Laboratory, Houston, TX, USA
| | - Nan Wu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Sushant Kumar
- Computational Biology and Bioinformatics Program, Yale University Medical School, New Haven, CT, USA
| | - Dimitri Avramopoulos
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Janson J White
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Kimberly F Doheny
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
- Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - P Dane Witmer
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
- Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Corinne Boehm
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - V Reid Sutton
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Donna M Muzny
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Eric Boerwinkle
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Human Genetics Center, University of Texas Health Science Center, Houston, TX, USA
| | - Murat Günel
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | | | - Shrikant Mane
- Yale Center for Genome Analysis, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Daniel G MacArthur
- Analytic and Translational Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Richard A Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Ada Hamosh
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Richard P Lifton
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
- Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Heidi L Rehm
- Analytic and Translational Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mark Gerstein
- Computational Biology and Bioinformatics Program, Yale University Medical School, New Haven, CT, USA
| | - Michael J Bamshad
- Department of Pediatrics, University of Washington, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - David Valle
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
- Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA.
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25
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Fernández-Rhodes L, Malinowski JR, Wang Y, Tao R, Pankratz N, Jeff JM, Yoneyama S, Carty CL, Setiawan VW, Le Marchand L, Haiman C, Corbett S, Demerath E, Heiss G, Gross M, Buzkova P, Crawford DC, Hunt SC, Rao DC, Schwander K, Chakravarti A, Gottesman O, Abul-Husn NS, Bottinger EP, Loos RJF, Raffel LJ, Yao J, Guo X, Bielinski SJ, Rotter JI, Vaidya D, Chen YDI, Castañeda SF, Daviglus M, Kaplan R, Talavera GA, Ryckman KK, Peters U, Ambite JL, Buyske S, Hindorff L, Kooperberg C, Matise T, Franceschini N, North KE. The genetic underpinnings of variation in ages at menarche and natural menopause among women from the multi-ethnic Population Architecture using Genomics and Epidemiology (PAGE) Study: A trans-ethnic meta-analysis. PLoS One 2018; 13:e0200486. [PMID: 30044860 PMCID: PMC6059436 DOI: 10.1371/journal.pone.0200486] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 06/27/2018] [Indexed: 11/18/2022] Open
Abstract
Current knowledge of the genetic architecture of key reproductive events across the female life course is largely based on association studies of European descent women. The relevance of known loci for age at menarche (AAM) and age at natural menopause (ANM) in diverse populations remains unclear. We investigated 32 AAM and 14 ANM previously-identified loci and sought to identify novel loci in a trans-ethnic array-wide study of 196,483 SNPs on the MetaboChip (Illumina, Inc.). A total of 45,364 women of diverse ancestries (African, Hispanic/Latina, Asian American and American Indian/Alaskan Native) in the Population Architecture using Genomics and Epidemiology (PAGE) Study were included in cross-sectional analyses of AAM and ANM. Within each study we conducted a linear regression of SNP associations with self-reported or medical record-derived AAM or ANM (in years), adjusting for birth year, population stratification, and center/region, as appropriate, and meta-analyzed results across studies using multiple meta-analytic techniques. For both AAM and ANM, we observed more directionally consistent associations with the previously reported risk alleles than expected by chance (p-valuesbinomial≤0.01). Eight densely genotyped reproductive loci generalized significantly to at least one non-European population. We identified one trans-ethnic array-wide SNP association with AAM and two significant associations with ANM, which have not been described previously. Additionally, we observed evidence of independent secondary signals at three of six AAM trans-ethnic loci. Our findings support the transferability of reproductive trait loci discovered in European women to women of other race/ethnicities and indicate the presence of additional trans-ethnic associations both at both novel and established loci. These findings suggest the benefit of including diverse populations in future studies of the genetic architecture of female growth and development.
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Affiliation(s)
- Lindsay Fernández-Rhodes
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- * E-mail:
| | | | - Yujie Wang
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Janina M. Jeff
- Genotyping Arrays Division, Illumina, Inc., San Diego, California, United States of America
| | - Sachiko Yoneyama
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Cara L. Carty
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - V. Wendy Setiawan
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Christopher Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Steven Corbett
- Kansas Health Institute, Topeka, Kansas, United States of America
| | - Ellen Demerath
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Petra Buzkova
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington, United States of America
| | - Dana C. Crawford
- Institute for Computational Biology, Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Steven C. Hunt
- Department of Genetic Medicine, Weill Cornell Medical College in Qatar, Doha, Qatar
| | - D. C. Rao
- Division of Biostatistics, Washington University in St. Louis, St. Louis, Michigan, United States of America
| | - Karen Schwander
- Division of Biostatistics, Washington University in St. Louis, St. Louis, Michigan, United States of America
| | - Aravinda Chakravarti
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Omri Gottesman
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Noura S. Abul-Husn
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Erwin P. Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Leslie J. Raffel
- Division of Genetic and Genomic Medicine, University of California—Irvine, Irvine, California, United States of America
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Suzette J. Bielinski
- College of Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Dhananjay Vaidya
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Sheila F. Castañeda
- South Bay Latino Research Center, Graduate School of Public Health, San Diego State University, San Diego, California, United States of America
| | - Martha Daviglus
- Institute of Minority Health Research, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Gregory A. Talavera
- South Bay Latino Research Center, Graduate School of Public Health, San Diego State University, San Diego, California, United States of America
| | - Kelli K. Ryckman
- Departments of Epidemiology and Pediatrics, University of Iowa, Iowa City, Iowa, United States of America
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Jose Luis Ambite
- Information Sciences Institute, University of Southern California, Marina del Rey, California, United States of America
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Lucia Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Tara Matise
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Kari E. North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
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26
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Manley W, Moreau MP, Azaro M, Siecinski SK, Davis G, Buyske S, Vieland V, Bassett AS, Brzustowicz L. Validation of a microRNA target site polymorphism in H3F3B that is potentially associated with a broad schizophrenia phenotype. PLoS One 2018. [PMID: 29529098 PMCID: PMC5847241 DOI: 10.1371/journal.pone.0194233] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Despite much progress, few genetic findings for schizophrenia have been assessed by functional validation experiments at the molecular level. We previously reported evidence for genetic linkage of broadly defined schizophrenia to chromosome 17q25 in a sample of 24 multiplex families. 2,002 SNPs under this linkage peak were analyzed for evidence of linkage disequilibrium using the posterior probability of linkage (PPL) framework. SNP rs1060120 produced the strongest evidence for association, with a PPLD|L score of 0.21. This SNP is located within the 3'UTR of the histone gene H3F3B and colocalizes with potential gene target miR-616. A custom miRNA target prediction program predicted that the binding of miR-616 to H3F3B transcripts would be altered by the allelic variants of rs1060120. We used dual luciferase assays to experimentally validate this interaction. The rs1060120 A allele significantly reduced luciferase expression, indicating a stronger interaction with miR-616 than the G allele (p = 0.000412). These results provide functional validation that this SNP could alter schizophrenia epigenetic mechanisms thereby contributing to schizophrenia-related disease risk.
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Affiliation(s)
- William Manley
- Department of Genetics, Rutgers University, Piscataway, NJ, United States of America
| | - Michael P. Moreau
- Department of Genetics, Rutgers University, Piscataway, NJ, United States of America
| | - Marco Azaro
- Department of Genetics, Rutgers University, Piscataway, NJ, United States of America
| | - Stephen K. Siecinski
- Department of Genetics, Rutgers University, Piscataway, NJ, United States of America
| | - Gillian Davis
- Department of Genetics, Rutgers University, Piscataway, NJ, United States of America
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, NJ, United States of America
- Department of Statistics & Biostatistics, Rutgers University, Piscataway, NJ, United States of America
| | - Veronica Vieland
- Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children’s Hospital, Columbus, Ohio, United States of America
| | - Anne S. Bassett
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Linda Brzustowicz
- Department of Genetics, Rutgers University, Piscataway, NJ, United States of America
- * E-mail:
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27
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Gong J, Nishimura KK, Fernandez-Rhodes L, Haessler J, Bien S, Graff M, Lim U, Lu Y, Gross M, Fornage M, Yoneyama S, Isasi CR, Buzkova P, Daviglus M, Lin DY, Tao R, Goodloe R, Bush WS, Farber-Eger E, Boston J, Dilks HH, Ehret G, Gu CC, Lewis CE, Nguyen KDH, Cooper R, Leppert M, Irvin MR, Bottinger EP, Wilkens LR, Haiman CA, Park L, Monroe KR, Cheng I, Stram DO, Carlson CS, Jackson R, Kuller L, Houston D, Kooperberg C, Buyske S, Hindorff LA, Crawford DC, Loos RJ, Le Marchand L, Matise TC, North KE, Peters U. Trans-ethnic analysis of metabochip data identifies two new loci associated with BMI. Int J Obes (Lond) 2018; 42:384-390. [PMID: 29381148 PMCID: PMC5876082 DOI: 10.1038/ijo.2017.304] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 11/03/2017] [Accepted: 11/21/2017] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Body mass index (BMI) is commonly used to assess obesity, which is associated with numerous diseases and negative health outcomes. BMI has been shown to be a heritable, polygenic trait, with close to 100 loci previously identified and replicated in multiple populations. We aim to replicate known BMI loci and identify novel associations in a trans-ethnic study population. SUBJECTS Using eligible participants from the Population Architecture using Genomics and Epidemiology consortium, we conducted a trans-ethnic meta-analysis of 102 514 African Americans, Hispanics, Asian/Native Hawaiian, Native Americans and European Americans. Participants were genotyped on over 200 000 SNPs on the Illumina Metabochip custom array, or imputed into the 1000 Genomes Project (Phase I). Linear regression of the natural log of BMI, adjusting for age, sex, study site (if applicable), and ancestry principal components, was conducted for each race/ethnicity within each study cohort. Race/ethnicity-specific, and combined meta-analyses used fixed-effects models. RESULTS We replicated 15 of 21 BMI loci included on the Metabochip, and identified two novel BMI loci at 1q41 (rs2820436) and 2q31.1 (rs10930502) at the Metabochip-wide significance threshold (P<2.5 × 10-7). Bioinformatic functional investigation of SNPs at these loci suggests a possible impact on pathways that regulate metabolism and adipose tissue. CONCLUSION Conducting studies in genetically diverse populations continues to be a valuable strategy for replicating known loci and uncovering novel BMI associations.
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Affiliation(s)
- Jian Gong
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Katherine K. Nishimura
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Lindsay Fernandez-Rhodes
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Jeffery Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Stephanie Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Misa Graff
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Unhee Lim
- Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Myron Gross
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Myriam Fornage
- Health Science Center, University of Texas, Austin, Texas, United States of America
| | - Sachiko Yoneyama
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Carmen R. Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Petra Buzkova
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Martha Daviglus
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, U United States of America SA
| | - Dan-Yu Lin
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Ran Tao
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Robert Goodloe
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - William S. Bush
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Eric Farber-Eger
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Jonathan Boston
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Holli H. Dilks
- Sarah Cannon Research Institute, Nashville, Tennessee, United States of America
| | - Georg Ehret
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Division of Cardiology, Geneva University Hospital, Geneva, Switzerland
| | - C. Charles Gu
- Department of Biostatistics, Washington University, St. Louis, Missouri, United States of America
| | - Cora E. Lewis
- Department of Medicine, University of Alabama, Birmingham, Alabama, United States of America
| | - Khanh-Dung H. Nguyen
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Richard Cooper
- Preventive Medicine and Epidemiology, Loyola University, Chicago, Illinois, United States of America
| | - Mark Leppert
- Department of Human Genetics, University of Utah, Salt Lake City, Utah, United States of America
| | - Marguerite R. Irvin
- Department of Epidemiology, University of Alabama, Birmingham, Alabama, United States of America
| | - Erwin P. Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Lynne R. Wilkens
- Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Christopher A. Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Lani Park
- Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Kristine R. Monroe
- Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, California, United States of America
| | - Daniel O. Stram
- Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Christopher S. Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Rebecca Jackson
- Department of Internal Medicine, Ohio State Medical Center, Columbus, Ohio, United States of America
| | - Lew Kuller
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Denise Houston
- Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
- Department of Statistics and Biostatistics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Lucia A. Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Dana C. Crawford
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Loic Le Marchand
- Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Tara C. Matise
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Kari E. North
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
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Bien SA, Pankow JS, Haessler J, Lu Y, Pankratz N, Rohde RR, Tamuno A, Carlson CS, Schumacher FR, Bůžková P, Daviglus ML, Lim U, Fornage M, Fernandez-Rhodes L, Avilés-Santa L, Buyske S, Gross MD, Graff M, Isasi CR, Kuller LH, Manson JE, Matise TC, Prentice RL, Wilkens LR, Yoneyama S, Loos RJF, Hindorff LA, Le Marchand L, North KE, Haiman CA, Peters U, Kooperberg C. Transethnic insight into the genetics of glycaemic traits: fine-mapping results from the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Diabetologia 2017; 60:2384-2398. [PMID: 28905132 PMCID: PMC5918310 DOI: 10.1007/s00125-017-4405-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Accepted: 07/06/2017] [Indexed: 12/13/2022]
Abstract
AIMS/HYPOTHESIS Elevated levels of fasting glucose and fasting insulin in non-diabetic individuals are markers of dysregulation of glucose metabolism and are strong risk factors for type 2 diabetes. Genome-wide association studies have discovered over 50 SNPs associated with these traits. Most of these loci were discovered in European populations and have not been tested in a well-powered multi-ethnic study. We hypothesised that a large, ancestrally diverse, fine-mapping genetic study of glycaemic traits would identify novel and population-specific associations that were previously undetectable by European-centric studies. METHODS A multiethnic study of up to 26,760 unrelated individuals without diabetes, of predominantly Hispanic/Latino and African ancestries, were genotyped using the Metabochip. Transethnic meta-analysis of racial/ethnic-specific linear regression analyses were performed for fasting glucose and fasting insulin. We attempted to replicate 39 fasting glucose and 17 fasting insulin loci. Genetic fine-mapping was performed through sequential conditional analyses in 15 regions that included both the initially reported SNP association(s) and denser coverage of SNP markers. In addition, Metabochip-wide analyses were performed to discover novel fasting glucose and fasting insulin loci. The most significant SNP associations were further examined using bioinformatic functional annotation. RESULTS Previously reported SNP associations were significantly replicated (p ≤ 0.05) in 31/39 fasting glucose loci and 14/17 fasting insulin loci. Eleven glycaemic trait loci were refined to a smaller list of potentially causal variants through transethnic meta-analysis. Stepwise conditional analysis identified two loci with independent secondary signals (G6PC2-rs477224 and GCK-rs2908290), which had not previously been reported. Population-specific conditional analyses identified an independent signal in G6PC2 tagged by the rare variant rs77719485 in African ancestry. Further Metabochip-wide analysis uncovered one novel fasting insulin locus at SLC17A2-rs75862513. CONCLUSIONS/INTERPRETATION These findings suggest that while glycaemic trait loci often have generalisable effects across the studied populations, transethnic genetic studies help to prioritise likely functional SNPs, identify novel associations that may be population-specific and in turn have the potential to influence screening efforts or therapeutic discoveries. DATA AVAILABILITY The summary statistics from each of the ancestry-specific and transethnic (combined ancestry) results can be found under the PAGE study on dbGaP here: https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000356.v1.p1.
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Affiliation(s)
- Stephanie A Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA.
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Yinchang Lu
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Rebecca R Rohde
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alfred Tamuno
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christopher S Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Fredrick R Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Petra Bůžková
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Martha L Daviglus
- Department of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Myriam Fornage
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lindsay Fernandez-Rhodes
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Larissa Avilés-Santa
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
- Department of Statistics, Rutgers University, Newark, NJ, USA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Mariaelisa Graff
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Carmen R Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lewis H Kuller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Sachiko Yoneyama
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Ruth J F Loos
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lucia A Hindorff
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Kari E North
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
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29
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Bien SA, Pankow JS, Haessler J, Lu Y, Pankratz N, Rohde RR, Tamuno A, Carlson CS, Schumacher FR, Bůžková P, Daviglus ML, Lim U, Fornage M, Fernandez-Rhodes L, Avilés-Santa L, Buyske S, Gross MD, Graff M, Isasi CR, Kuller LH, Manson JE, Matise TC, Prentice RL, Wilkens LR, Yoneyama S, Loos RJF, Hindorff LA, Le Marchand L, North KE, Haiman CA, Peters U, Kooperberg C. Correction to: Transethnic insight into the genetics of glycaemic traits: fine-mapping results from the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Diabetologia 2017; 60:2542-2543. [PMID: 29038867 PMCID: PMC6145818 DOI: 10.1007/s00125-017-4476-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The authors regret that Yinchang Lu's name incorrectly included a middle initial in the author list. The details given in this erratum are correct.
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Affiliation(s)
- Stephanie A Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA.
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Yinchang Lu
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Rebecca R Rohde
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alfred Tamuno
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christopher S Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Fredrick R Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Petra Bůžková
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Martha L Daviglus
- Department of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Myriam Fornage
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lindsay Fernandez-Rhodes
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Larissa Avilés-Santa
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
- Department of Statistics, Rutgers University, Newark, NJ, USA
| | - Myron D Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Mariaelisa Graff
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Carmen R Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lewis H Kuller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Sachiko Yoneyama
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Ruth J F Loos
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lucia A Hindorff
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Kari E North
- Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., Seattle, WA, 98109-1024, USA
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30
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Zubair N, Graff M, Luis Ambite J, Bush WS, Kichaev G, Lu Y, Manichaikul A, Sheu WHH, Absher D, Assimes TL, Bielinski SJ, Bottinger EP, Buzkova P, Chuang LM, Chung RH, Cochran B, Dumitrescu L, Gottesman O, Haessler JW, Haiman C, Heiss G, Hsiung CA, Hung YJ, Hwu CM, Juang JMJ, Le Marchand L, Lee IT, Lee WJ, Lin LA, Lin D, Lin SY, Mackey RH, Martin LW, Pasaniuc B, Peters U, Predazzi I, Quertermous T, Reiner AP, Robinson J, Rotter JI, Ryckman KK, Schreiner PJ, Stahl E, Tao R, Tsai MY, Waite LL, Wang TD, Buyske S, Ida Chen YD, Cheng I, Crawford DC, Loos RJF, Rich SS, Fornage M, North KE, Kooperberg C, Carty CL. Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci. Hum Mol Genet 2017; 25:5500-5512. [PMID: 28426890 DOI: 10.1093/hmg/ddw358] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Accepted: 10/17/2016] [Indexed: 11/13/2022] Open
Abstract
Genome-wide association studies have identified over 150 loci associated with lipid traits, however, no large-scale studies exist for Hispanics and other minority populations. Additionally, the genetic architecture of lipid-influencing loci remains largely unknown. We performed one of the most racially/ethnically diverse fine-mapping genetic studies of HDL-C, LDL-C, and triglycerides to-date using SNPs on the MetaboChip array on 54,119 individuals: 21,304 African Americans, 19,829 Hispanic Americans, 12,456 Asians, and 530 American Indians. The majority of signals found in these groups generalize to European Americans. While we uncovered signals unique to racial/ethnic populations, we also observed systematically consistent lipid associations across these groups. In African Americans, we identified three novel signals associated with HDL-C (LPL, APOA5, LCAT) and two associated with LDL-C (ABCG8, DHODH). In addition, using this population, we refined the location for 16 out of the 58 known MetaboChip lipid loci. These results can guide tailored screening efforts, reveal population-specific responses to lipid-lowering medications, and aid in the development of new targeted drug therapies.
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Affiliation(s)
- Niha Zubair
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Jose Luis Ambite
- Department of Computer Science, University of Southern California, Los Angeles, CA, USA
| | - William S Bush
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Gleb Kichaev
- Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA
| | - Yingchang Lu
- The Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute of Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ani Manichaikul
- Center for Public Health Genomics and Biostatistics Section, Department of Public Health Sciences, University of Virginia, Charlottesville, USA
| | - Wayne H-H Sheu
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Devin Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | | | - Erwin P Bottinger
- The Charles Bronfman Institute of Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Petra Buzkova
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lee-Ming Chuang
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ren-Hua Chung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Miaoli County, Taiwan
| | - Barbara Cochran
- Genetic Laboratory at the University of Texas Health Science Center, University of Texas, Houston, TX, USA
| | - Logan Dumitrescu
- Center for Human Genetics Research, Vanderbilt University, Nashville, TN, USA
| | - Omri Gottesman
- The Charles Bronfman Institute of Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeffrey W Haessler
- WHI Clinical Coordinating Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Chao A Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Miaoli County, Taiwan
| | - Yi-Jen Hung
- Division of Endocrinology and Metabolism, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chii-Min Hwu
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Jyh-Ming J Juang
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Loic Le Marchand
- Cancer Epidemiology Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, Hawai'i. USA
| | - I-Te Lee
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Li-An Lin
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Danyu Lin
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Shih-Yi Lin
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Rachel H Mackey
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lisa W Martin
- Cardiology Division, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Bogdan Pasaniuc
- Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA
| | - Ulrike Peters
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Irene Predazzi
- Knight Cardiovascular Institute, Center for Preventative Cardiology, Oregon Health & Science University, Portland, OR, USA
| | - Thomas Quertermous
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Alex P Reiner
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jennifer Robinson
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kelli K Ryckman
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Pamela J Schreiner
- Division of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Eli Stahl
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ran Tao
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michael Y Tsai
- Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Lindsay L Waite
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Tzung-Dau Wang
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Steven Buyske
- Department of Statistics & Biostatistics, Rutgers University, Piscataway, NJ, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, CA, USA
| | - Dana C Crawford
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Ruth J F Loos
- The Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute of Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stephen S Rich
- Center for Public Health Genomics and Biostatistics Section, Department of Public Health Sciences, University of Virginia, Charlottesville, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Charles Kooperberg
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Cara L Carty
- Center for Translational Science, George Washington University, Children's National Medical Center, Washington, DC, USA
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31
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Fernández-Rhodes L, Gong J, Haessler J, Franceschini N, Graff M, Nishimura KK, Wang Y, Highland HM, Yoneyama S, Bush WS, Goodloe R, Ritchie MD, Crawford D, Gross M, Fornage M, Buzkova P, Tao R, Isasi C, Avilés-Santa L, Daviglus M, Mackey RH, Houston D, Gu CC, Ehret G, Nguyen KDH, Lewis CE, Leppert M, Irvin MR, Lim U, Haiman CA, Le Marchand L, Schumacher F, Wilkens L, Lu Y, Bottinger EP, Loos RJL, Sheu WHH, Guo X, Lee WJ, Hai Y, Hung YJ, Absher D, Wu IC, Taylor KD, Lee IT, Liu Y, Wang TD, Quertermous T, Juang JMJ, Rotter JI, Assimes T, Hsiung CA, Chen YDI, Prentice R, Kuller LH, Manson JE, Kooperberg C, Smokowski P, Robinson WR, Gordon-Larsen P, Li R, Hindorff L, Buyske S, Matise TC, Peters U, North KE. Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci. Hum Genet 2017; 136:771-800. [PMID: 28391526 DOI: 10.1007/s00439-017-1787-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2016] [Accepted: 03/23/2017] [Indexed: 11/26/2022]
Abstract
Most body mass index (BMI) genetic loci have been identified in studies of primarily European ancestries. The effect of these loci in other racial/ethnic groups is less clear. Thus, we aimed to characterize the generalizability of 170 established BMI variants, or their proxies, to diverse US populations and trans-ethnically fine-map 36 BMI loci using a sample of >102,000 adults of African, Hispanic/Latino, Asian, European and American Indian/Alaskan Native descent from the Population Architecture using Genomics and Epidemiology Study. We performed linear regression of the natural log of BMI (18.5-70 kg/m2) on the additive single nucleotide polymorphisms (SNPs) at BMI loci on the MetaboChip (Illumina, Inc.), adjusting for age, sex, population stratification, study site, or relatedness. We then performed fixed-effect meta-analyses and a Bayesian trans-ethnic meta-analysis to empirically cluster by allele frequency differences. Finally, we approximated conditional and joint associations to test for the presence of secondary signals. We noted directional consistency with the previously reported risk alleles beyond what would have been expected by chance (binomial p < 0.05). Nearly, a quarter of the previously described BMI index SNPs and 29 of 36 densely-genotyped BMI loci on the MetaboChip replicated/generalized in trans-ethnic analyses. We observed multiple signals at nine loci, including the description of seven loci with novel multiple signals. This study supports the generalization of most common genetic loci to diverse ancestral populations and emphasizes the importance of dense multiethnic genomic data in refining the functional variation at genetic loci of interest and describing several loci with multiple underlying genetic variants.
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Affiliation(s)
- Lindsay Fernández-Rhodes
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Jian Gong
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mariaelisa Graff
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Katherine K Nishimura
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yujie Wang
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Heather M Highland
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sachiko Yoneyama
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - William S Bush
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Robert Goodloe
- Center for Human Genetics Research, Vanderbilt University, Nashville, TN, USA
| | - Marylyn D Ritchie
- Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
| | - Dana Crawford
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Myriam Fornage
- Center for Human Genetics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Petra Buzkova
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Ran Tao
- Department of Biostatistics, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Carmen Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Martha Daviglus
- Insitute of Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Rachel H Mackey
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Denise Houston
- Geriatrics and Gerontology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - C Charles Gu
- Division of Biostatistics, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Georg Ehret
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
- Division of Cardiology, Geneva University Hospital, Geneva, OH, Switzerland
| | - Khanh-Dung H Nguyen
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Cora E Lewis
- Department of Medicine, University of Alabama, Birmingham, AL, USA
| | - Mark Leppert
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
| | | | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Fredrick Schumacher
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lynne Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Yingchang Lu
- Charles R. Bronfman Instituted for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Erwin P Bottinger
- Charles R. Bronfman Instituted for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J L Loos
- Charles R. Bronfman Instituted for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wayne H-H Sheu
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Defense Medical Center, National Yang-Ming University, Taipei, Taiwan
| | - Xiuqing Guo
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yang Hai
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yi-Jen Hung
- Division of Endocrinology and Metabolism, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Devin Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - I-Chien Wu
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Taiwan
| | - Kent D Taylor
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - I-Te Lee
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Defense Medical Center, National Yang-Ming University, Taipei, Taiwan
| | - Yeheng Liu
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Tzung-Dau Wang
- Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Thomas Quertermous
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jyh-Ming J Juang
- Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Jerome I Rotter
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Themistocles Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Chao A Hsiung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Taiwan
| | - Yii-Der Ida Chen
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Ross Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lewis H Kuller
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Paul Smokowski
- School of Social Welfare, The University of Kansas, Lawrence, KS, USA
| | - Whitney R Robinson
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Penny Gordon-Larsen
- Department of Nutrition, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rongling Li
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucia Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven Buyske
- Department of Statistics and Biostatistics, Rutgers University, Piscataway, NJ, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kari E North
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Avery CL, Wassel CL, Richard MA, Highland HM, Bien S, Zubair N, Soliman EZ, Fornage M, Bielinski SJ, Tao R, Seyerle AA, Shah SJ, Lloyd-Jones DM, Buyske S, Rotter JI, Post WS, Rich SS, Hindorff LA, Jeff JM, Shohet RV, Sotoodehnia N, Lin DY, Whitsel EA, Peters U, Haiman CA, Crawford DC, Kooperberg C, North KE. Fine mapping of QT interval regions in global populations refines previously identified QT interval loci and identifies signals unique to African and Hispanic descent populations. Heart Rhythm 2017; 14:572-580. [PMID: 27988371 PMCID: PMC5448160 DOI: 10.1016/j.hrthm.2016.12.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Indexed: 11/27/2022]
Abstract
BACKGROUND The electrocardiographically measured QT interval (QT) is heritable and its prolongation is an established risk factor for several cardiovascular diseases. Yet, most QT genetic studies have been performed in European ancestral populations, possibly reducing their global relevance. OBJECTIVE To leverage diversity and improve biological insight, we fine mapped 16 of the 35 previously identified QT loci (46%) in populations of African American (n = 12,410) and Hispanic/Latino (n = 14,837) ancestry. METHODS Racial/ethnic-specific multiple linear regression analyses adjusted for heart rate and clinical covariates were examined separately and in combination after inverse-variance weighted trans-ethnic meta-analysis. RESULTS The 16 fine-mapped QT loci included on the Illumina Metabochip represented 21 independent signals, of which 16 (76%) were significantly (P-value≤9.1×10-5) associated with QT. Through sequential conditional analysis we also identified three trans-ethnic novel SNPs at ATP1B1, SCN5A-SCN10A, and KCNQ1 and three Hispanic/Latino-specific novel SNPs at NOS1AP and SCN5A-SCN10A (two novel SNPs) with evidence of associations with QT independent of previous identified GWAS lead SNPs. Linkage disequilibrium patterns helped to narrow the region likely to contain the functional variants at several loci, including NOS1AP, USP50-TRPM7, and PRKCA, although intervals surrounding SLC35F1-PLN and CNOT1 remained broad in size (>100 kb). Finally, bioinformatics-based functional characterization suggested a regulatory function in cardiac tissues for the majority of independent signals that generalized and the novel SNPs. CONCLUSION Our findings suggest that a majority of identified SNPs implicate gene regulatory dysfunction in QT prolongation, that the same loci influence variation in QT across global populations, and that additional, novel, population-specific QT signals exist.
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Affiliation(s)
| | - Christina L Wassel
- Department of Pathology and Laboratory Medicine, College of Medicine, University of Vermont, Burlington, Vermont
| | - Melissa A Richard
- Institute of Molecular Medicine and; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
| | | | - Stephanie Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Niha Zubair
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Elsayed Z Soliman
- Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center and; Department of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - Myriam Fornage
- Institute of Molecular Medicine and; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | | | | | - Sanjiv J Shah
- Department of Preventive Medicine and; Department of Medicine, Northwestern University Feinberg School of Medicine and
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine and; Department of Medicine, Northwestern University Feinberg School of Medicine and
| | - Steven Buyske
- Department of Statistics and Biostatistics and; Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California
| | - Wendy S Post
- Department of Medicine and; Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Lucia A Hindorff
- National Institutes of Health, National Human Genome Research Institute, Office of Population Genomics, Bethesda, Maryland
| | - Janina M Jeff
- Genetics and Genomic Sciences, The Charles Bronfman Institute for Personalized Medicine, The Center for Statistical Genetics, and The Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ralph V Shohet
- Center for Cardiovascular Research, John A. Burns School of Medicine, University of Hawaii, Honolulu, Hawaii
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, Washington
| | | | | | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine and; Norris Comprehensive Cancer Center, University of Southern California, Pasadena, California
| | - Dana C Crawford
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Kari E North
- Department of Epidemiology; Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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33
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Yoneyama S, Yao J, Guo X, Fernandez-Rhodes L, Lim U, Boston J, Buzková P, Carlson CS, Cheng I, Cochran B, Cooper R, Ehret G, Fornage M, Gong J, Gross M, Gu CC, Haessler J, Haiman CA, Henderson B, Hindorff LA, Houston D, Irvin MR, Jackson R, Kuller L, Leppert M, Lewis CE, Li R, Le Marchand L, Matise TC, Nguyen KDH, Chakravarti A, Pankow JS, Pankratz N, Pooler L, Ritchie MD, Bien SA, Wassel CL, Chen YDI, Taylor KD, Allison M, Rotter JI, Schreiner PJ, Schumacher F, Wilkens L, Boerwinkle E, Kooperberg C, Peters U, Buyske S, Graff M, North KE. Generalization and fine mapping of European ancestry-based central adiposity variants in African ancestry populations. Int J Obes (Lond) 2017; 41:324-331. [PMID: 27867202 PMCID: PMC5296276 DOI: 10.1038/ijo.2016.207] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Revised: 10/12/2016] [Accepted: 10/23/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND/OBJECTIVES Central adiposity measures such as waist circumference (WC) and waist-to-hip ratio (WHR) are associated with cardiometabolic disorders independently of body mass index (BMI) and are gaining clinically utility. Several studies report genetic variants associated with central adiposity, but most utilize only European ancestry populations. Understanding whether the genetic associations discovered among mainly European descendants are shared with African ancestry populations will help elucidate the biological underpinnings of abdominal fat deposition. SUBJECTS/METHODS To identify the underlying functional genetic determinants of body fat distribution, we conducted an array-wide association meta-analysis among persons of African ancestry across seven studies/consortia participating in the Population Architecture using Genomics and Epidemiology (PAGE) consortium. We used the Metabochip array, designed for fine-mapping cardiovascular-associated loci, to explore novel array-wide associations with WC and WHR among 15 945 African descendants using all and sex-stratified groups. We further interrogated 17 known WHR regions for African ancestry-specific variants. RESULTS Of the 17 WHR loci, eight single-nucleotide polymorphisms (SNPs) located in four loci were replicated in the sex-combined or sex-stratified meta-analyses. Two of these eight independently associated with WHR after conditioning on the known variant in European descendants (rs12096179 in TBX15-WARS2 and rs2059092 in ADAMTS9). In the fine-mapping assessment, the putative functional region was reduced across all four loci but to varying degrees (average 40% drop in number of putative SNPs and 20% drop in genomic region). Similar to previous studies, the significant SNPs in the female-stratified analysis were stronger than the significant SNPs from the sex-combined analysis. No novel associations were detected in the array-wide analyses. CONCLUSIONS Of 17 previously identified loci, four loci replicated in the African ancestry populations of this study. Utilizing different linkage disequilibrium patterns observed between European and African ancestries, we narrowed the suggestive region containing causative variants for all four loci.
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Affiliation(s)
- Sachiko Yoneyama
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | | | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, 96813, USA
| | - Jonathan Boston
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN, 37203, USA
| | - Petra Buzková
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Christopher S. Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, CA, 94538, USA
| | - Barbara Cochran
- Baylor College of Medicine, Houston, TX, 77030, USA
- Division of Cardiology, Geneva University Hospital, Genève, 1205, Switzerland
| | - Richard Cooper
- Preventive Medicine and Epidemiology, Loyola University, Chicago, IL, 60153, USA
| | - Georg Ehret
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Myriam Fornage
- The Human Genetics Center and Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Jian Gong
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Myron Gross
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, 55455, USA
| | - C. Charles Gu
- Department of Biostatistics, Washington University, St. Louis, MO, 63110, USA
| | - Jeff Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Christopher A. Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Brian Henderson
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Lucia A. Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Denise Houston
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Marguerite R. Irvin
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Rebecca Jackson
- Department of Internal Medicine, Ohio State Medical Center, Columbus, OH, 43210, USA
| | - Lew Kuller
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Mark Leppert
- Department of Human Genetics, University of Utah, Salt Lake City, UT, 84112, USA
| | - Cora E. Lewis
- Department of Medicine, University of Alabama, Birmingham, AL, 35294, USA
| | - Rongling Li
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, 96813, USA
| | - Tara C. Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, 08854, USA
| | - Khanh-Dung H. Nguyen
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Aravinda Chakravarti
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - James S. Pankow
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Nathan Pankratz
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Loreall Pooler
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Marylyn D. Ritchie
- Biochemistry and Molecular Biology, Pennsylvania State University, State College, PA, 16801, USA
| | - Stephanie A. Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Christina L. Wassel
- University of Vermont College of Medicine, Department of Pathology and Laboratory Medicine, Colchester, VT, 05446, USA
| | - Yii-Der I. Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Matthew Allison
- School of Medicine, University of California San Diego, Department of Preventive Medicine, San Diego, CA, 92110, USA
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Pamela J. Schreiner
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Fredrick Schumacher
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Lynne Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, 96813, USA
| | - Eric Boerwinkle
- The Human Genetics Center and Institute of Molecular Medicine, Houston, TX, 77030, USA
- Department of Statistics and Biostatistics, Rutgers University, Piscataway, NJ, 8854, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, NJ, 08854, USA
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27514, USA
- Carolina Center for Genome Sciences, Chapel Hill, NC, 27514, USA
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34
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Bien SA, Wojcik GL, Zubair N, Gignoux CR, Martin AR, Kocarnik JM, Martin LW, Buyske S, Haessler J, Walker RW, Cheng I, Graff M, Xia L, Franceschini N, Matise T, James R, Hindorff L, Le Marchand L, North KE, Haiman CA, Peters U, Loos RJF, Kooperberg CL, Bustamante CD, Kenny EE, Carlson CS. Strategies for Enriching Variant Coverage in Candidate Disease Loci on a Multiethnic Genotyping Array. PLoS One 2016; 11:e0167758. [PMID: 27973554 PMCID: PMC5156387 DOI: 10.1371/journal.pone.0167758] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 11/18/2016] [Indexed: 11/25/2022] Open
Abstract
Investigating genetic architecture of complex traits in ancestrally diverse populations is imperative to understand the etiology of disease. However, the current paucity of genetic research in people of African and Latin American ancestry, Hispanic and indigenous peoples in the United States is likely to exacerbate existing health disparities for many common diseases. The Population Architecture using Genomics and Epidemiology, Phase II (PAGE II), Study was initiated in 2013 by the National Human Genome Research Institute to expand our understanding of complex trait loci in ethnically diverse and well characterized study populations. To meet this goal, the Multi-Ethnic Genotyping Array (MEGA) was designed to substantially improve fine-mapping and functional discovery by increasing variant coverage across multiple ethnicities at known loci for metabolic, cardiovascular, renal, inflammatory, anthropometric, and a variety of lifestyle traits. Studying the frequency distribution of clinically relevant mutations, putative risk alleles, and known functional variants across multiple populations will provide important insight into the genetic architecture of complex diseases and facilitate the discovery of novel, sometimes population-specific, disease associations. DNA samples from 51,650 self-identified African ancestry (17,328), Hispanic/Latino (22,379), Asian/Pacific Islander (8,640), and American Indian (653) and an additional 2,650 participants of either South Asian or European ancestry, and other reference panels have been genotyped on MEGA by PAGE II. MEGA was designed as a new resource for studying ancestrally diverse populations. Here, we describe the methodology for selecting trait-specific content for use in multi-ethnic populations and how enriching MEGA for this content may contribute to deeper biological understanding of the genetic etiology of complex disease.
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Affiliation(s)
- Stephanie A. Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- * E-mail: (CSC); (SAB)
| | - Genevieve L. Wojcik
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Niha Zubair
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Christopher R. Gignoux
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Alicia R. Martin
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Jonathan M. Kocarnik
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Lisa W. Martin
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC, United States of America
| | - Steven Buyske
- Department of Genetics, School of Arts and Sciences, Rutgers University, Piscataway, New Jersey, United States of America
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Ryan W. Walker
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, California, United States of America
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Lucy Xia
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Tara Matise
- Department of Genetics, School of Arts and Sciences, Rutgers University, Piscataway, New Jersey, United States of America
| | - Regina James
- Division of Intramural Research, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Lucia Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Loic Le Marchand
- Department of Epidemiology Program, University of Hawai’i Cancer Center, Honolulu, Hawai’i, United States of America
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Charles L. Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Carlos D. Bustamante
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Eimear E. Kenny
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Christopher S. Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- * E-mail: (CSC); (SAB)
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Bruni M, Flax JF, Buyske S, Shindhelm AD, Witton C, Brzustowicz LM, Bartlett CW. Behavioral and Molecular Genetics of Reading-Related AM and FM Detection Thresholds. Behav Genet 2016; 47:193-201. [PMID: 27826669 DOI: 10.1007/s10519-016-9821-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 09/28/2016] [Indexed: 12/24/2022]
Abstract
Auditory detection thresholds for certain frequencies of both amplitude modulated (AM) and frequency modulated (FM) dynamic auditory stimuli are associated with reading in typically developing and dyslexic readers. We present the first behavioral and molecular genetic characterization of these two auditory traits. Two extant extended family datasets were given reading tasks and psychoacoustic tasks to determine FM 2 Hz and AM 20 Hz sensitivity thresholds. Univariate heritabilities were significant for both AM (h 2 = 0.20) and FM (h 2 = 0.29). Bayesian posterior probability of linkage (PPL) analysis found loci for AM (12q, PPL = 81 %) and FM (10p, PPL = 32 %; 20q, PPL = 65 %). Bivariate heritability analyses revealed that FM is genetically correlated with reading, while AM was not. Bivariate PPL analysis indicates that FM loci (10p, 20q) are not also associated with reading.
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Affiliation(s)
- Matthew Bruni
- The Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | - Judy F Flax
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers The State University of New Jersey, Piscataway, NJ, USA
| | - Steven Buyske
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers The State University of New Jersey, Piscataway, NJ, USA.,Department of Statistics, Rutgers The State University of New Jersey, Piscataway, NJ, USA
| | - Amber D Shindhelm
- The Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | - Caroline Witton
- Aston Brain Centre, School of Life and Health Sciences, Aston University, Birmingham, B4 7ET, UK
| | - Linda M Brzustowicz
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers The State University of New Jersey, Piscataway, NJ, USA
| | - Christopher W Bartlett
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH, USA. .,Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital & The Ohio State University, 575 Children's Crossroad, Columbus, OH, 43205, USA.
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Franceschini N, Carty CL, Lu Y, Tao R, Sung YJ, Manichaikul A, Haessler J, Fornage M, Schwander K, Zubair N, Bien S, Hindorff LA, Guo X, Bielinski SJ, Ehret G, Kaufman JD, Rich SS, Carlson CS, Bottinger EP, North KE, Rao DC, Chakravarti A, Barrett PQ, Loos RJF, Buyske S, Kooperberg C. Variant Discovery and Fine Mapping of Genetic Loci Associated with Blood Pressure Traits in Hispanics and African Americans. PLoS One 2016; 11:e0164132. [PMID: 27736895 PMCID: PMC5063457 DOI: 10.1371/journal.pone.0164132] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2016] [Accepted: 09/12/2016] [Indexed: 01/11/2023] Open
Abstract
Despite the substantial burden of hypertension in US minority populations, few genetic studies of blood pressure have been conducted in Hispanics and African Americans, and it is unclear whether many of the established loci identified in European-descent populations contribute to blood pressure variation in non-European descent populations. Using the Metabochip array, we sought to characterize the genetic architecture of previously identified blood pressure loci, and identify novel cardiometabolic variants related to systolic and diastolic blood pressure in a multi-ethnic US population including Hispanics (n = 19,706) and African Americans (n = 18,744). Several known blood pressure loci replicated in African Americans and Hispanics. Fourteen variants in three loci (KCNK3, FGF5, ATXN2-SH2B3) were significantly associated with blood pressure in Hispanics. The most significant diastolic blood pressure variant identified in our analysis, rs2586886/KCNK3 (P = 5.2 x 10−9), also replicated in independent Hispanic and European-descent samples. African American and trans-ethnic meta-analysis data identified novel variants in the FGF5, ULK4 and HOXA-EVX1 loci, which have not been previously associated with blood pressure traits. Our identification and independent replication of variants in KCNK3, a gene implicated in primary hyperaldosteronism, as well as a variant in HOTTIP (HOXA-EVX1) suggest that further work to clarify the roles of these genes may be warranted. Overall, our findings suggest that loci identified in European descent populations also contribute to blood pressure variation in diverse populations including Hispanics and African Americans—populations that are understudied for hypertension genetic risk factors.
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Affiliation(s)
- Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- * E-mail:
| | - Cara L. Carty
- Center for Translational Science, George Washington University and Children’s National Medical Center, Washington, District of Columbia, United States of America
| | - Yingchang Lu
- Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Ran Tao
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Yun Ju Sung
- Division of Biostatistics, Washington University, St. Louis, Missouri, United States of America
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, 22908, United States of America
| | - Jeff Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine & Human Genetics Center, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Karen Schwander
- Division of Biostatistics, Washington University, St. Louis, Missouri, United States of America
| | - Niha Zubair
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Stephanie Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Lucia A. Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, LABiomed at Harbor-University of California at Los Angeles Medical Center, Torrance, California, United States of America
| | - Suzette J. Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Georg Ehret
- Center for Complex Disease Genomics, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Specialties of Internal Medicine, Geneva University Hospital, Geneva, Switzerland
| | - Joel D. Kaufman
- Department of Environmental and Occupational Health Sciences, Epidemiology, and Medicine, University of Washington, Seattle, Washington, United States of America
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, 22908, United States of America
| | - Christopher S. Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Erwin P. Bottinger
- Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - D. C. Rao
- Division of Biostatistics, Washington University, St. Louis, Missouri, United States of America
| | - Aravinda Chakravarti
- Center for Complex Disease Genomics, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Paula Q. Barrett
- Department of Pharmacology, University of Virginia, Charlottesville, Virginia, United States of America
| | - Ruth J. F. Loos
- Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Steven Buyske
- Department of Statistics and Biostatistics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
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Evans DS, Avery CL, Nalls MA, Li G, Barnard J, Smith EN, Tanaka T, Butler AM, Buxbaum SG, Alonso A, Arking DE, Berenson GS, Bis JC, Buyske S, Carty CL, Chen W, Chung MK, Cummings SR, Deo R, Eaton CB, Fox ER, Heckbert SR, Heiss G, Hindorff LA, Hsueh WC, Isaacs A, Jamshidi Y, Kerr KF, Liu F, Liu Y, Lohman KK, Magnani JW, Maher JF, Mehra R, Meng YA, Musani SK, Newton-Cheh C, North KE, Psaty BM, Redline S, Rotter JI, Schnabel RB, Schork NJ, Shohet RV, Singleton AB, Smith JD, Soliman EZ, Srinivasan SR, Taylor HA, Van Wagoner DR, Wilson JG, Young T, Zhang ZM, Zonderman AB, Evans MK, Ferrucci L, Murray SS, Tranah GJ, Whitsel EA, Reiner AP, Sotoodehnia N. Fine-mapping, novel loci identification, and SNP association transferability in a genome-wide association study of QRS duration in African Americans. Hum Mol Genet 2016; 25:4350-4368. [PMID: 27577874 PMCID: PMC5291202 DOI: 10.1093/hmg/ddw284] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 08/03/2016] [Accepted: 08/19/2016] [Indexed: 12/14/2022] Open
Abstract
The electrocardiographic QRS duration, a measure of ventricular depolarization and conduction, is associated with cardiovascular mortality. While single nucleotide polymorphisms (SNPs) associated with QRS duration have been identified at 22 loci in populations of European descent, the genetic architecture of QRS duration in non-European populations is largely unknown. We therefore performed a genome-wide association study (GWAS) meta-analysis of QRS duration in 13,031 African Americans from ten cohorts and a transethnic GWAS meta-analysis with additional results from populations of European descent. In the African American GWAS, a single genome-wide significant SNP association was identified (rs3922844, P = 4 × 10-14) in intron 16 of SCN5A, a voltage-gated cardiac sodium channel gene. The QRS-prolonging rs3922844 C allele was also associated with decreased SCN5A RNA expression in human atrial tissue (P = 1.1 × 10-4). High density genotyping revealed that the SCN5A association region in African Americans was confined to intron 16. Transethnic GWAS meta-analysis identified novel SNP associations on chromosome 18 in MYL12A (rs1662342, P = 4.9 × 10-8) and chromosome 1 near CD1E and SPTA1 (rs7547997, P = 7.9 × 10-9). The 22 QRS loci previously identified in populations of European descent were enriched for significant SNP associations with QRS duration in African Americans (P = 9.9 × 10-7), and index SNP associations in or near SCN5A, SCN10A, CDKN1A, NFIA, HAND1, TBX5 and SETBP1 replicated in African Americans. In summary, rs3922844 was associated with QRS duration and SCN5A expression, two novel QRS loci were identified using transethnic meta-analysis, and a significant proportion of QRS-SNP associations discovered in populations of European descent were transferable to African Americans when adequate power was achieved.
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Affiliation(s)
- Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA .
| | - Christy L Avery
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Guo Li
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Barnard
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Erin N Smith
- Department of Pediatrics and Rady Children's Hospital, University of California at San Diego, School of Medicine, La Jolla, CA, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Anne M Butler
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Sarah G Buxbaum
- Center of Excellence in Minority Health and Health Disparities, Jackson State University, Jackson, MS, USA
- Department of Epidemiology and Biostatistics, Jackson State University School of Public Health (Initiative), Jackson, MS, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gerald S Berenson
- Department of Medicine and Cardiology, Tulane University, New Orleans, LA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Steven Buyske
- Department of Statistics and Biostatistics and Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Cara L Carty
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Wei Chen
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
| | - Mina K Chung
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Rajat Deo
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Charles B Eaton
- Departments of Family Medicine and Epidemiology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Ervin R Fox
- Department of Medicine, Division of Cardiovascular Disease, University of Mississippi Medical Center, Jackson, MS, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - Gerardo Heiss
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Lucia A Hindorff
- National Institutes of Health, National Human Genome Research Institute, Office of Population Genomics, Bethesda, MD, USA
| | - Wen-Chi Hsueh
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), Dept. of Biochemistry, Maastricht University, Maastricht, the Netherlands
| | - Yalda Jamshidi
- Cardiogenetics Lab, Institute of Cardiovascular and Cell Sciences, St George's University of London, UK
| | - Kathleen F Kerr
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Felix Liu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - Kurt K Lohman
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - Jared W Magnani
- Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center Heart and Vascular Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joseph F Maher
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Reena Mehra
- Program for Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yan A Meng
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - Solomon K Musani
- Cardiovascular Research Center and Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston,MA, USA
| | - Christopher Newton-Cheh
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
- Department of Medicine, Division of Sleep Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Susan Redline
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Departments of Medicine and Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jerome I Rotter
- University Heart Center Hamburg and German Center for Cardiovascular Research, Hamburg, Germany
| | | | - Nicholas J Schork
- Center for Cardiovascular Research, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA
| | - Ralph V Shohet
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Andrew B Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jonathan D Smith
- Epidemiological Cardiology Research Center (EPICARE), Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Elsayed Z Soliman
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | | | - Herman A Taylor
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - David R Van Wagoner
- Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - James G Wilson
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Taylor Young
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - Zhu-Ming Zhang
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Alan B Zonderman
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Michele K Evans
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Sarah S Murray
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Membership of the CHARGE QRS Consortium is provided in the acknowledgements and
| | - Alex P Reiner
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Nona Sotoodehnia
- Department of Epidemiology, University of Washington, Seattle, WA, USA .
- Division of Cardiology, University of Washington, Seattle, WA, USA
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Brzustowicz LM, Moreau MP, Bruse SE, David-Rus R, Buyske S. Reply to: Reproducibility and Visual Inspection of Data. Biol Psychiatry 2016; 80:e37-8. [PMID: 26774966 DOI: 10.1016/j.biopsych.2015.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Accepted: 11/13/2015] [Indexed: 10/22/2022]
Affiliation(s)
- Linda M Brzustowicz
- Department of Genetics, Rutgers University, Piscataway, New Jersey; Human Genetics Institute of New Jersey, Rutgers University, Piscataway, New Jersey.
| | - Michael P Moreau
- Cancer Cytogenomics, BioReference Laboratories, Elmwood Park, New Jersey
| | | | - Richard David-Rus
- Francisc Rainer Institute of Anthropological Studies, Romanian Academy, Bucharest, Romania
| | - Steven Buyske
- Department of Genetics, Rutgers University, Piscataway, New Jersey; Department of Statistics and Biostatistics, Rutgers University, Piscataway, New Jersey; Human Genetics Institute of New Jersey, Rutgers University, Piscataway, New Jersey
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Valenzuela RM, Kaufman M, Balashov KE, Ito K, Buyske S, Dhib-Jalbut S. Predictive cytokine biomarkers of clinical response to glatiramer acetate therapy in multiple sclerosis. J Neuroimmunol 2016; 300:59-65. [PMID: 27390072 DOI: 10.1016/j.jneuroim.2016.06.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 06/13/2016] [Accepted: 06/21/2016] [Indexed: 11/25/2022]
Abstract
A prospective study of 62 patients with relapsing-remitting multiple sclerosis (RRMS) treated with Glatiramer acetate (GA) was conducted to evaluate the value of baseline and treatment-modulated cytokines in predicting the clinical response to the drug after 2years of therapy. There were 32 responders and 30 non-responders. GA upregulated Th2/regulatory cytokines and inhibited Th1 cytokines in sera or PBMC supernatants 3 and 6months into treatment. We found two prognostic models with clinical utility. A model based on IL-18 at baseline, the change in TNFa from baseline to 3months, the change in IL-4 from baseline to 6months, and the change in the log of the ratio of TNFa/IL-4 from baseline to 6months had an area under the curve (AUC) of 0.80. A high IL-18 level at baseline and a reduction of TNF-alpha over time are associated with a response to GA. Although the study identified predictive biomarkers of clinical response to GA, the results will need to be validated in other data sets.
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Affiliation(s)
- R M Valenzuela
- Rutgers-Robert Wood Johnson Medical School, Piscataway, NJ 08854, United States.
| | - M Kaufman
- Carolina Medical Center, Multiple Sclerosis Center, Charlotte, North Carolina, 28207, United States.
| | - K E Balashov
- Rutgers-Robert Wood Johnson Medical School, Piscataway, NJ 08854, United States.
| | - K Ito
- Rutgers-Robert Wood Johnson Medical School, Piscataway, NJ 08854, United States.
| | - S Buyske
- Rutgers University, Department of Statistics and Biostatistics, Piscataway, NJ 08854, United States.
| | - S Dhib-Jalbut
- Rutgers-Robert Wood Johnson Medical School, Piscataway, NJ 08854, United States.
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40
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Brunetti L, Kagan L, Forrester G, Aleksunes LM, Lin H, Buyske S, Nahass RG. Cefoxitin Plasma and Subcutaneous Adipose Tissue Concentration in Patients Undergoing Sleeve Gastrectomy. Clin Ther 2016; 38:204-10. [PMID: 26686826 PMCID: PMC4715936 DOI: 10.1016/j.clinthera.2015.11.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Revised: 10/14/2015] [Accepted: 11/12/2015] [Indexed: 01/21/2023]
Abstract
PURPOSE Antibiotic dosing in obese surgical patients has not been adequately evaluated. The objective of this study was to identify whether currently prescribed doses of cefoxitin achieve adequate and sustained plasma and tissue concentrations in obese patients undergoing sleeve gastrectomy. METHODS A prospective evaluation of plasma and tissue cefoxitin concentrations in patients undergoing sleeve gastrectomy was performed. On the day of the surgical procedure, venous blood samples (5 mL) were collected just before cefoxitin administration and then at 5, 30, 60, 120, and 240 minutes after dose administration. In addition, subcutaneous adipose tissue was collected from the surgical site at the time of surgical incision and at closure. Cefoxitin concentrations in the collected samples were quantified by using an HPLC-ultraviolet method. A standard noncompartmental analysis was performed for each individual cefoxitin plasma concentration-time profile. In addition, the ratio of tissue to plasma concentration was calculated for all patients. FINDINGS Plasma and tissue pharmacokinetics of cefoxitin were evaluated in 6 patients undergoing sleeve gastrectomy. The mean age and BMI were 48.7 (6.2) years and 42.8 (7.1) kg/m(2), respectively. At the time of surgical closure, subcutaneous adipose tissue concentrations of cefoxitin were subtherapeutic (<8 µg/mL) in all evaluated patients. IMPLICATIONS Current dosing strategies for cefoxitin in obese surgical patients may be inadequate, and there is an urgent need to define the appropriate dosage.
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Affiliation(s)
- Luigi Brunetti
- Department of Pharmacy Practice and Administration, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey.
| | - Leonid Kagan
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | | | - Lauren M Aleksunes
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Hongxia Lin
- Pharmacokinetic/Pharmacodynamic Shared Resource, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Steven Buyske
- Department of Statistics and Biostatistics, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Ronald G Nahass
- ID Care, Hillsborough and Robert Wood Johnson University Hospital Somerset, Somerville, New Jersey
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Shungin D, Winkler TW, Croteau-Chonka DC, Ferreira T, Locke AE, Mägi R, Strawbridge RJ, Pers TH, Fischer K, Justice AE, Workalemahu T, Wu JMW, Buchkovich ML, Heard-Costa NL, Roman TS, Drong AW, Song C, Gustafsson S, Day FR, Esko T, Fall T, Kutalik Z, Luan J, Randall JC, Scherag A, Vedantam S, Wood AR, Chen J, Fehrmann R, Karjalainen J, Kahali B, Liu CT, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bragg-Gresham JL, Buyske S, Demirkan A, Ehret GB, Feitosa MF, Goel A, Jackson AU, Johnson T, Kleber ME, Kristiansson K, Mangino M, Mateo Leach I, Medina-Gomez C, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Stančáková A, Ju Sung Y, Tanaka T, Teumer A, Van Vliet-Ostaptchouk JV, Yengo L, Zhang W, Albrecht E, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Böhringer S, Bonnet F, Böttcher Y, Bruinenberg M, Carba DB, Caspersen IH, Clarke R, Warwick Daw E, Deelen J, Deelman E, Delgado G, Doney ASF, Eklund N, Erdos MR, Estrada K, Eury E, Friedrich N, Garcia ME, Giedraitis V, Gigante B, Go AS, Golay A, Grallert H, Grammer TB, Gräßler J, Grewal J, Groves CJ, Haller T, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heikkilä K, Herzig KH, Helmer Q, Hillege HL, Holmen O, Hunt SC, Isaacs A, Ittermann T, James AL, Johansson I, Juliusdottir T, Kalafati IP, Kinnunen L, Koenig W, Kooner IK, Kratzer W, Lamina C, Leander K, Lee NR, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Mach F, Magnusson PKE, Mahajan A, McArdle WL, Menni C, Merger S, Mihailov E, Milani L, Mills R, Moayyeri A, Monda KL, Mooijaart SP, Mühleisen TW, Mulas A, Müller G, Müller-Nurasyid M, Nagaraja R, Nalls MA, Narisu N, Glorioso N, Nolte IM, Olden M, Rayner NW, Renstrom F, Ried JS, Robertson NR, Rose LM, Sanna S, Scharnagl H, Scholtens S, Sennblad B, Seufferlein T, Sitlani CM, Vernon Smith A, Stirrups K, Stringham HM, Sundström J, Swertz MA, Swift AJ, Syvänen AC, Tayo BO, Thorand B, Thorleifsson G, Tomaschitz A, Troffa C, van Oort FVA, Verweij N, Vonk JM, Waite LL, Wennauer R, Wilsgaard T, Wojczynski MK, Wong A, Zhang Q, Hua Zhao J, Brennan EP, Choi M, Eriksson P, Folkersen L, Franco-Cereceda A, Gharavi AG, Hedman ÅK, Hivert MF, Huang J, Kanoni S, Karpe F, Keildson S, Kiryluk K, Liang L, Lifton RP, Ma B, McKnight AJ, McPherson R, Metspalu A, Min JL, Moffatt MF, Montgomery GW, Murabito JM, Nicholson G, Nyholt DR, Olsson C, Perry JRB, Reinmaa E, Salem RM, Sandholm N, Schadt EE, Scott RA, Stolk L, Vallejo EE, Westra HJ, Zondervan KT, Amouyel P, Arveiler D, Bakker SJL, Beilby J, Bergman RN, Blangero J, Brown MJ, Burnier M, Campbell H, Chakravarti A, Chines PS, Claudi-Boehm S, Collins FS, Crawford DC, Danesh J, de Faire U, de Geus EJC, Dörr M, Erbel R, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Forouhi NG, Forrester T, Franco OH, Gansevoort RT, Gieger C, Gudnason V, Haiman CA, Harris TB, Hattersley AT, Heliövaara M, Hicks AA, Hingorani AD, Hoffmann W, Hofman A, Homuth G, Humphries SE, Hyppönen E, Illig T, Jarvelin MR, Johansen B, Jousilahti P, Jula AM, Kaprio J, Kee F, Keinanen-Kiukaanniemi SM, Kooner JS, Kooperberg C, Kovacs P, Kraja AT, Kumari M, Kuulasmaa K, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lyssenko V, Männistö S, Marette A, Matise TC, McKenzie CA, McKnight B, Musk AW, Möhlenkamp S, Morris AD, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Palmer LJ, Penninx BW, Peters A, Pramstaller PP, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ridker PM, Ritchie MD, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PEH, Shuldiner AR, Staessen JA, Steinthorsdottir V, Stolk RP, Strauch K, Tönjes A, Tremblay A, Tremoli E, Vohl MC, Völker U, Vollenweider P, Wilson JF, Witteman JC, Adair LS, Bochud M, Boehm BO, Bornstein SR, Bouchard C, Cauchi S, Caulfield MJ, Chambers JC, Chasman DI, Cooper RS, Dedoussis G, Ferrucci L, Froguel P, Grabe HJ, Hamsten A, Hui J, Hveem K, Jöckel KH, Kivimaki M, Kuh D, Laakso M, Liu Y, März W, Munroe PB, Njølstad I, Oostra BA, Palmer CNA, Pedersen NL, Perola M, Pérusse L, Peters U, Power C, Quertermous T, Rauramaa R, Rivadeneira F, Saaristo TE, Saleheen D, Sinisalo J, Eline Slagboom P, Snieder H, Spector TD, Thorsteinsdottir U, Stumvoll M, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Veronesi G, Walker M, Wareham NJ, Watkins H, Wichmann HE, Abecasis GR, Assimes TL, Berndt SI, Boehnke M, Borecki IB, Deloukas P, Franke L, Frayling TM, Groop LC, Hunter DJ, Kaplan RC, O’Connell JR, Qi L, Schlessinger D, Strachan DP, Stefansson K, van Duijn CM, Willer CJ, Visscher PM, Yang J, Hirschhorn JN, Carola Zillikens M, McCarthy MI, Speliotes EK, North KE, Fox CS, Barroso I, Franks PW, Ingelsson E, Heid IM, Loos RJF, Cupples LA, Morris AP, Lindgren CM, Mohlke KL. New genetic loci link adipose and insulin biology to body fat distribution. Nature 2015; 518:187-196. [PMID: 25673412 PMCID: PMC4338562 DOI: 10.1038/nature14132] [Citation(s) in RCA: 1046] [Impact Index Per Article: 116.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Accepted: 12/02/2014] [Indexed: 12/17/2022]
Abstract
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, we conducted genome-wide association meta-analyses of waist and hip circumference-related traits in up to 224,459 individuals. We identified 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and an additional 19 loci newly associated with related waist and hip circumference measures (P<5×10−8). Twenty of the 49 WHRadjBMI loci showed significant sexual dimorphism, 19 of which displayed a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation, and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
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Franceschini N, Hu Y, Reiner AP, Buyske S, Nalls M, Yanek LR, Li Y, Hindorff LA, Cole SA, Howard BV, Stafford JM, Carty CL, Sethupathy P, Martin LW, Lin DY, Johnson KC, Becker LC, North KE, Dehghan A, Bis JC, Liu Y, Greenland P, Manson JE, Maeda N, Garcia M, Harris TB, Becker DM, O'Donnell C, Heiss G, Kooperberg C, Boerwinkle E. Prospective associations of coronary heart disease loci in African Americans using the MetaboChip: the PAGE study. PLoS One 2014; 9:e113203. [PMID: 25542012 PMCID: PMC4277270 DOI: 10.1371/journal.pone.0113203] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 10/20/2014] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Coronary heart disease (CHD) is a leading cause of morbidity and mortality in African Americans. However, there is a paucity of studies assessing genetic determinants of CHD in African Americans. We examined the association of published variants in CHD loci with incident CHD, attempted to fine map these loci, and characterize novel variants influencing CHD risk in African Americans. METHODS AND RESULTS Up to 8,201 African Americans (including 546 first CHD events) were genotyped using the MetaboChip array in the Atherosclerosis Risk in Communities (ARIC) study and Women's Health Initiative (WHI). We tested associations using Cox proportional hazard models in sex- and study-stratified analyses and combined results using meta-analysis. Among 44 validated CHD loci available in the array, we replicated and fine-mapped the SORT1 locus, and showed same direction of effects as reported in studies of individuals of European ancestry for SNPs in 22 additional published loci. We also identified a SNP achieving array wide significance (MYC: rs2070583, allele frequency 0.02, P = 8.1 × 10(-8)), but the association did not replicate in an additional 8,059 African Americans (577 events) from the WHI, HealthABC and GeneSTAR studies, and in a meta-analysis of 5 cohort studies of European ancestry (24,024 individuals including 1,570 cases of MI and 2,406 cases of CHD) from the CHARGE Consortium. CONCLUSIONS Our findings suggest that some CHD loci previously identified in individuals of European ancestry may be relevant to incident CHD in African Americans.
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Affiliation(s)
- Nora Franceschini
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Yijuan Hu
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, United States of America
| | - Alex P. Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Steven Buyske
- Department of Statistics & Biostatistics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Mike Nalls
- Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, Maryland, United States of America
| | - Lisa R. Yanek
- Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Yun Li
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Lucia A. Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, NIH, Bethesda, Maryland, United States of America
| | - Shelley A. Cole
- Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas, United States of America
| | - Barbara V. Howard
- MedStar Health Research Institute, Hyattsville, Maryland, United States of America
| | - Jeanette M. Stafford
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Cara L. Carty
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Praveen Sethupathy
- Department of Genetics Lineberger Comprehensive Cancer Center School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Lisa W. Martin
- Cardiovascular Institute, the George Washington University, Washington, D. C., United States of America
| | - Dan-Yu Lin
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Karen C. Johnson
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - Lewis C. Becker
- Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Kari E. North
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America
- UNC Center for Genome Sciences, Chapel Hill, North Carolina, United States of America
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Joshua C. Bis
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Yongmei Liu
- Center for Human Genomics, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston Salem, North Carolina, Tennessee, United States of America
| | - Philip Greenland
- Departments of Preventive Medicine and Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nobuyo Maeda
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Melissa Garcia
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, Maryland, United States of America
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, Maryland, United States of America
| | - Diane M. Becker
- Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Christopher O'Donnell
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Gerardo Heiss
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
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Zou H, Luan Y, Liu M, Agre LA, Buyske S, Xie Q, Cheng Z, Zhao G, Jin M, Guo N, Jin GJ, Yu L. Differential behavior patterns in cynomolgus monkey Macaca fascicularis in home cage in response to human gaze. J Med Primatol 2014; 44:1-11. [PMID: 25440079 DOI: 10.1111/jmp.12154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/20/2014] [Indexed: 11/28/2022]
Abstract
BACKGROUND Non-human primates, when encountering human beings, show wariness and alertness. These behaviors differ when there is direct human gaze vs. when human averts his gaze. METHODS We observed cynomolgus monkey in their home cage and studied their behaviors in response to human gaze. Four behaviors were analyzed: opening mouth, staring at observer, agitated activity, and approaching observer. RESULTS Three behaviors appeared to be sensitive to human gaze between when the human observer gazed at the monkey and when the human observer looked away. Individual animals also displayed subpatterns of responses to human gaze. CONCLUSIONS These results indicate that, even in their home cage, monkeys display a heightened level of awareness when gazed upon by a human observer, suggesting that human gaze may elicit emotional reactions. Further, under the human gaze, distinct behavioral subpatterns were apparent within the monkey cohort in our study, indicative of subgroups within the cohort.
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Affiliation(s)
- Hong Zou
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China; State Key Laboratory of Genetic Engineering, Department of Microbiology, School of Life Sciences and Institute of Biomedical Sciences, Fudan University, Shanghai, China
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Wood AR, Esko T, Yang J, Vedantam S, Pers TH, Gustafsson S, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau-Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AAE, Westra HJ, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice AE, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Lui JC, Mangino M, Mateo Leach I, Medina-Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet-Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Arnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi-Boehm S, Cooper M, Daw EW, De Jong PA, Deelen J, Delgado G, Denny JC, Dhonukshe-Rutten R, Dimitriou M, Doney ASF, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LCPGM, Groves CJ, Haessler J, Hall P, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard-Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing-Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PKE, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, Moayyeri A, Monda KL, Morken MA, Müller G, Müller-Nurasyid M, Musk AW, Narisu N, Nauck M, Nolte IM, Nöthen MM, Oozageer L, Pilz S, Rayner NW, Renstrom F, Robertson NR, Rose LM, Roussel R, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Schunkert H, Scott RA, Sehmi J, Seufferlein T, Shi J, Silventoinen K, Smit JH, Smith AV, Smolonska J, Stanton AV, Stirrups K, Stott DJ, Stringham HM, Sundström J, Swertz MA, Syvänen AC, Tayo BO, Thorleifsson G, Tyrer JP, van Dijk S, van Schoor NM, van der Velde N, van Heemst D, van Oort FVA, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Waldenberger M, Wennauer R, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Arveiler D, Bakker SJL, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boomsma DI, Bornstein SR, Bovet P, Brambilla P, Brown MJ, Campbell H, Caulfield MJ, Chakravarti A, Collins R, Collins FS, Crawford DC, Cupples LA, Danesh J, de Faire U, den Ruijter HM, Erbel R, Erdmann J, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Gansevoort RT, Gejman PV, Gieger C, Golay A, Gottesman O, Gudnason V, Gyllensten U, Haas DW, Hall AS, Harris TB, Hattersley AT, Heath AC, Hengstenberg C, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Jacobs KB, Jarvelin MR, Jousilahti P, Jula AM, Kaprio J, Kastelein JJP, Kayser M, Kee F, Keinanen-Kiukaanniemi SM, Kiemeney LA, Kooner JS, Kooperberg C, Koskinen S, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lupoli S, Madden PAF, Männistö S, Manunta P, Marette A, Matise TC, McKnight B, Meitinger T, Moll FL, Montgomery GW, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Ouwehand WH, Pasterkamp G, Peters A, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ritchie M, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PEH, Sebert S, Sever P, Shuldiner AR, Sinisalo J, Steinthorsdottir V, Stolk RP, Tardif JC, Tönjes A, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PIW, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hayes MG, Hui J, Hunter DJ, Hveem K, Jukema JW, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CNA, Pedersen NL, Perola M, Pérusse L, Peters U, Powell JE, Power C, Quertermous T, Rauramaa R, Reinmaa E, Ridker PM, Rivadeneira F, Rotter JI, Saaristo TE, Saleheen D, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Strauch K, Stumvoll M, Tuomilehto J, Uusitupa M, van der Harst P, Völzke H, Walker M, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Zanen P, Deloukas P, Heid IM, Lindgren CM, Mohlke KL, Speliotes EK, Thorsteinsdottir U, Barroso I, Fox CS, North KE, Strachan DP, Beckmann JS, Berndt SI, Boehnke M, Borecki IB, McCarthy MI, Metspalu A, Stefansson K, Uitterlinden AG, van Duijn CM, Franke L, Willer CJ, Price AL, Lettre G, Loos RJF, Weedon MN, Ingelsson E, O'Connell JR, Abecasis GR, Chasman DI, Goddard ME, Visscher PM, Hirschhorn JN, Frayling TM. Defining the role of common variation in the genomic and biological architecture of adult human height. Nat Genet 2014; 46:1173-86. [PMID: 25282103 PMCID: PMC4250049 DOI: 10.1038/ng.3097] [Citation(s) in RCA: 1192] [Impact Index Per Article: 119.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Accepted: 08/29/2014] [Indexed: 12/17/2022]
Abstract
Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.
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Affiliation(s)
- Andrew R Wood
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Tonu Esko
- 1] Estonian Genome Center, University of Tartu, Tartu, Estonia. [2] Division of Endocrinology, Genetics and Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts, USA. [3] Broad Institute of MIT and Harvard University, Cambridge, Massachusetts, USA. [4] Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
| | - Jian Yang
- 1] Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia. [2] University of Queensland Diamantina Institute, Translation Research Institute, Brisbane, Queensland, Australia
| | - Sailaja Vedantam
- 1] Division of Endocrinology, Genetics and Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts, USA. [2] Broad Institute of MIT and Harvard University, Cambridge, Massachusetts, USA
| | - Tune H Pers
- 1] Division of Endocrinology, Genetics and Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts, USA. [2] Broad Institute of MIT and Harvard University, Cambridge, Massachusetts, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA. [4] Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
| | - Stefan Gustafsson
- 1] Science for Life Laboratory, Uppsala University, Uppsala, Sweden. [2] Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Audrey Y Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Karol Estrada
- 1] Broad Institute of MIT and Harvard University, Cambridge, Massachusetts, USA. [2] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands. [3] Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jian'an Luan
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Zoltán Kutalik
- 1] Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland. [2] Swiss Institute of Bioinformatics, Lausanne, Switzerland. [3] Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - Najaf Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Martin L Buchkovich
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Damien C Croteau-Chonka
- 1] Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA. [2] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Felix R Day
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Yanan Duan
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Tove Fall
- 1] Science for Life Laboratory, Uppsala University, Uppsala, Sweden. [2] Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden. [3] Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Rudolf Fehrmann
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Teresa Ferreira
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anne U Jackson
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Juha Karjalainen
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Ken Sin Lo
- Montreal Heart Institute, Montreal, Quebec, Canada
| | - Adam E Locke
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Reedik Mägi
- 1] Estonian Genome Center, University of Tartu, Tartu, Estonia. [2] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Evelin Mihailov
- 1] Estonian Genome Center, University of Tartu, Tartu, Estonia. [2] Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Eleonora Porcu
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | - Joshua C Randall
- 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. [2] Wellcome Trust Sanger Institute, Hinxton, UK
| | - André Scherag
- 1] Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Essen, Germany. [2] Clinical Epidemiology, Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
| | - Anna A E Vinkhuyzen
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Harm-Jan Westra
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Thomas W Winkler
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Tsegaselassie Workalemahu
- Department of Nutrition, Harvard School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Jing Hua Zhao
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Devin Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
| | - Eva Albrecht
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Denise Anderson
- Telethon Institute for Child Health Research, Centre for Child Health Research, University of Western Australia, Perth, Western Australia, Australia
| | - Jeffrey Baron
- Section on Growth and Development, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, US National Institutes of Health, Bethesda, Maryland, USA
| | - Marian Beekman
- 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden, the Netherlands. [2] Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ayse Demirkan
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands. [2] Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Georg B Ehret
- 1] Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. [2] Department of Specialties of Internal Medicine, Division of Cardiology, Geneva University Hospital, Geneva, Switzerland
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Mary F Feitosa
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Ross M Fraser
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Anuj Goel
- 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. [2] Radcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford, UK
| | - Jian Gong
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Marcus E Kleber
- 1] Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Heidelberg, Germany. [2] Department of Internal Medicine II, Ulm University Medical Centre, Ulm, Germany
| | | | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Vaneet Lotay
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Julian C Lui
- Section on Growth and Development, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, US National Institutes of Health, Bethesda, Maryland, USA
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Irene Mateo Leach
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Carolina Medina-Gomez
- 1] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, the Netherlands. [3] Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Michael A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, US National Institutes of Health, Bethesda, Maryland, USA
| | - Dale R Nyholt
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Cameron D Palmer
- 1] Division of Endocrinology, Genetics and Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts, USA. [2] Broad Institute of MIT and Harvard University, Cambridge, Massachusetts, USA
| | - Dorota Pasko
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Sonali Pechlivanis
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Essen, Germany
| | - Inga Prokopenko
- 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. [2] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK. [3] Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
| | - Janina S Ried
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Stephan Ripke
- 1] Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA. [2] Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard University, Cambridge, Massachusetts, USA
| | - Dmitry Shungin
- 1] Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Center, Skåne University Hospital, Malmö, Sweden. [2] Department of Public Health and Clinical Medicine, Unit of Medicine, Umeå University, Umeå, Sweden. [3] Department of Odontology, Umeå University, Umeå, Sweden
| | - Alena Stancáková
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Rona J Strawbridge
- Atherosclerosis Research Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Stella Trompet
- 1] Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands. [2] Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Sander W van der Laan
- Experimental Cardiology Laboratory, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jessica van Setten
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jana V Van Vliet-Ostaptchouk
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Zhaoming Wang
- 1] DZHK (Deutsches Zentrum für Herz-Kreislaufforschung-German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany. [2] Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany. [3] Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA. [4] Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland, USA
| | - Loïc Yengo
- 1] CNRS UMR 8199, Lille, France. [2] European Genomic Institute for Diabetes, Lille, France. [3] Université de Lille 2, Lille, France
| | - Weihua Zhang
- 1] Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK. [2] Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Uzma Afzal
- 1] Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK. [2] Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Johan Arnlöv
- 1] Science for Life Laboratory, Uppsala University, Uppsala, Sweden. [2] Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden. [3] School of Health and Social Studies, Dalarna University, Falun, Sweden
| | - Gillian M Arscott
- PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia, Australia
| | | | - Amy Barrett
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Claire Bellis
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Amanda J Bennett
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Christian Berne
- Department of Medical Sciences, Endocrinology, Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Matthias Blüher
- 1] Integrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, Leipzig, Germany. [2] Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Jennifer L Bolton
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Yvonne Böttcher
- Integrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Heather A Boyd
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Marcel Bruinenberg
- LifeLines, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Brendan M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Steven Buyske
- 1] Department of Statistics and Biostatistics, Rutgers University, Piscataway, New Jersy, USA. [2] Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
| | - Ida H Caspersen
- Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Peter S Chines
- Genome Technology Branch, National Human Genome Research Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Robert Clarke
- Clinical Trial Service Unit, Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Simone Claudi-Boehm
- Division of Endocrinology, Diabetes and Metabolism, Ulm University Medical Centre, Ulm, Germany
| | - Matthew Cooper
- Telethon Institute for Child Health Research, Centre for Child Health Research, University of Western Australia, Perth, Western Australia, Australia
| | - E Warwick Daw
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Pim A De Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Joris Deelen
- 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden, the Netherlands. [2] Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Graciela Delgado
- Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Josh C Denny
- Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA
| | | | - Maria Dimitriou
- Department of Dietetics-Nutrition, Harokopio University, Athens, Greece
| | - Alex S F Doney
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - Marcus Dörr
- 1] DZHK (Deutsches Zentrum für Herz-Kreislaufforschung-German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany. [2] Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Niina Eklund
- 1] National Institute for Health and Welfare, Helsinki, Finland. [2] Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Elodie Eury
- 1] CNRS UMR 8199, Lille, France. [2] European Genomic Institute for Diabetes, Lille, France. [3] Université de Lille 2, Lille, France
| | - Lasse Folkersen
- Atherosclerosis Research Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Melissa E Garcia
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, US National Institutes of Health, Bethesda, Maryland, USA
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, Sweden
| | - Alan S Go
- Kaiser Permanente, Division of Research, Oakland, California, USA
| | - Harald Grallert
- 1] Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. [2] Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. [3] German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Tanja B Grammer
- Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Jürgen Gräßler
- Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Christopher J Groves
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Toomas Haller
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Goran Hallmans
- Unit of Nutritional Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Anke Hannemann
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Catharina A Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Maija Hassinen
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Nancy L Heard-Costa
- 1] National Heart, Lung, and Blood Institute, Framingham Heart Study, Framingham, Massachusetts, USA. [2] Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Quinta Helmer
- 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden, the Netherlands. [2] Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands. [3] Faculty of Psychology and Education, VU University Amsterdam, Amsterdam, the Netherlands
| | - Gibran Hemani
- 1] Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia. [2] University of Queensland Diamantina Institute, Translation Research Institute, Brisbane, Queensland, Australia
| | - Anjali K Henders
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Hans L Hillege
- 1] Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. [2] Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Mark A Hlatky
- Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Wolfgang Hoffmann
- 1] DZHK (Deutsches Zentrum für Herz-Kreislaufforschung-German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany. [2] Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Per Hoffmann
- 1] Department of Biomedicine, Division of Medical Genetics, University of Basel, Basel, Switzerland. [2] Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany. [3] Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Oddgeir Holmen
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jeanine J Houwing-Duistermaat
- 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden, the Netherlands. [2] Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands
| | - Thomas Illig
- 1] Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. [2] Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | - Aaron Isaacs
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands. [2] Center for Medical Systems Biology, Leiden, the Netherlands
| | - Alan L James
- 1] Department of Pulmonary Physiology and Sleep Medicine, Nedlands, Western Australia, Australia. [2] School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
| | - Janina Jeff
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Berit Johansen
- Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, SciLifeLab, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Jennifer Jolley
- 1] Department of Haematology, University of Cambridge, Cambridge, UK. [2] NHS Blood and Transplant, Cambridge, UK
| | | | | | - Abel N Kho
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Leena Kinnunen
- National Institute for Health and Welfare, Helsinki, Finland
| | - Norman Klopp
- 1] Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. [2] Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | - Thomas Kocher
- Unit of Periodontology, Department of Restorative Dentistry, Periodontology and Endodontology, University Medicine Greifswald, Greifswald, Germany
| | - Wolfgang Kratzer
- Department of Internal Medicine I, Ulm University Medical Centre, Ulm, Germany
| | - Peter Lichtner
- Institute of Human Genetics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Jaana Lindström
- National Institute for Health and Welfare, Helsinki, Finland
| | - Stéphane Lobbens
- 1] CNRS UMR 8199, Lille, France. [2] European Genomic Institute for Diabetes, Lille, France. [3] Université de Lille 2, Lille, France
| | - Mattias Lorentzon
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Yingchang Lu
- 1] Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA. [2] Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Marc Maillard
- Service of Nephrology, Department of Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Wendy L McArdle
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Colin A McKenzie
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, Kingston, Jamaica
| | - Stela McLachlan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Paul J McLaren
- 1] Global Health Institute, Department of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. [2] Institute of Microbiology, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Sigrun Merger
- Division of Endocrinology, Diabetes and Metabolism, Ulm University Medical Centre, Ulm, Germany
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Alireza Moayyeri
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Keri L Monda
- 1] Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Center for Observational Research, Amgen, Inc., Thousand Oaks, California, USA
| | - Mario A Morken
- Genome Technology Branch, National Human Genome Research Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Gabriele Müller
- Center for Evidence-Based Healthcare, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Martina Müller-Nurasyid
- 1] Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. [2] Department of Medicine I, University Hospital Großhadern, Ludwig Maximilians Universität, Munich, Germany. [3] Chair of Genetic Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians Universität, Neuherberg, Germany. [4] DZHK (Deutsches Forschungszentrum für Herz-Kreislauferkrankungen-German Research Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany
| | - Arthur W Musk
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Narisu Narisu
- Genome Technology Branch, National Human Genome Research Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Matthias Nauck
- 1] DZHK (Deutsches Zentrum für Herz-Kreislaufforschung-German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany. [2] Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ilja M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Markus M Nöthen
- 1] Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany. [2] Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Laticia Oozageer
- Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK
| | - Stefan Pilz
- 1] Department of Epidemiology and Biostatistics, Institute for Research in Extramural Medicine (EMGO) Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands. [2] Department of Internal Medicine, Division of Endocrinology and Metabolism, Medical University of Graz, Graz, Austria
| | - Nigel W Rayner
- 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. [2] Wellcome Trust Sanger Institute, Hinxton, UK. [3] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Frida Renstrom
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Center, Skåne University Hospital, Malmö, Sweden
| | - Neil R Robertson
- 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. [2] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Lynda M Rose
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ronan Roussel
- 1] Diabetology-Endocrinology-Nutrition, Public Hospital System of the City of Paris (AP-HP), Bichat Hospital, Paris, France. [2] INSERM U872, Centre de Recherche des Cordeliers, Paris, France. [3] Paris Diderot University, Paris, France
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | - Hubert Scharnagl
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Salome Scholtens
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Fredrick R Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Heribert Schunkert
- 1] DZHK (Deutsches Forschungszentrum für Herz-Kreislauferkrankungen-German Research Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany. [2] Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
| | - Robert A Scott
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Joban Sehmi
- 1] Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK. [2] Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Thomas Seufferlein
- Department of Internal Medicine I, Ulm University Medical Centre, Ulm, Germany
| | - Jianxin Shi
- National Cancer Institute, Bethesda, Maryland, USA
| | | | - Johannes H Smit
- 1] EMGO Institute for Health and Care Research, VU University, Amsterdam, the Netherlands. [2] Department of Psychiatry, Neuroscience Campus, VU University Amsterdam, Amsterdam, the Netherlands
| | - Albert Vernon Smith
- 1] Icelandic Heart Association, Kopavogur, Iceland. [2] University of Iceland, Reykjavik, Iceland
| | - Joanna Smolonska
- 1] Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. [2] Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Alice V Stanton
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Kathleen Stirrups
- 1] Wellcome Trust Sanger Institute, Hinxton, UK. [2] William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow, UK
| | - Heather M Stringham
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Johan Sundström
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Morris A Swertz
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Ann-Christine Syvänen
- 1] Science for Life Laboratory, Uppsala University, Uppsala, Sweden. [2] Department of Medical Sciences, Molecular Medicine, Uppsala University, Uppsala, Sweden
| | - Bamidele O Tayo
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University of Chicago, Maywood, Illinois, USA
| | | | | | - Suzanne van Dijk
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, Institute for Research in Extramural Medicine (EMGO) Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Nathalie van der Velde
- 1] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands. [2] Section of Geriatrics, Department of Internal Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - Diana van Heemst
- 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden, the Netherlands. [2] Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Floor V A van Oort
- Department of Child and Adolescent Psychiatry, Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Sita H Vermeulen
- 1] Department for Health Evidence, Radboud University Medical Centre, Nijmegen, the Netherlands. [2] Department of Genetics, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Judith M Vonk
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Lindsay L Waite
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Roman Wennauer
- Department of Clinical Chemistry, Ulm University Medical Centre, Ulm, Germany
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Christina Willenborg
- 1] DZHK (Deutsches Forschungszentrum für Herz-Kreislauferkrankungen-German Research Centre for Cardiovascular Research), partner site Hamburg-Lubeck-Kiel, Lubeck, Germany. [2] Institut für Integrative und Experimentelle Genomik, Universität zu Lübeck, Lübeck, Germany
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Tromsø, Tromsø, Norway
| | - Mary K Wojczynski
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at University College London, London, UK
| | - Alan F Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Qunyuan Zhang
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Dominique Arveiler
- Department of Epidemiology and Public Health, University of Strasbourg, Faculty of Medicine, Strasbourg, France
| | - Stephan J L Bakker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - John Beilby
- 1] PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia, Australia. [2] Pathology and Laboratory Medicine, University of Western Australia, Perth, Western Australia, Australia
| | - Richard N Bergman
- Cedars-Sinai Diabetes and Obesity Research Institute, Los Angeles, California, USA
| | - Sven Bergmann
- 1] Swiss Institute of Bioinformatics, Lausanne, Switzerland. [2] Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
| | - Reiner Biffar
- Department of Prosthetic Dentistry, Gerostomatology and Dental Materials, University Medicine Greifswald, Greifswald, Germany
| | - John Blangero
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Dorret I Boomsma
- Biological Psychology, VU University Amsterdam, Amsterdam, the Netherlands
| | - Stefan R Bornstein
- Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Pascal Bovet
- 1] Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland. [2] Ministry of Health, Victoria, Republic of Seychelles
| | - Paolo Brambilla
- Laboratory Medicine, Hospital of Desio, Department of Health Sciences, University of Milano, Bicocca, Italy
| | - Morris J Brown
- Clinical Pharmacology Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Mark J Caulfield
- 1] Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK. [2] Barts and The London Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Aravinda Chakravarti
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Rory Collins
- Clinical Trial Service Unit, Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Francis S Collins
- Genome Technology Branch, National Human Genome Research Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Dana C Crawford
- 1] Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA. [2] Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, USA
| | - L Adrienne Cupples
- 1] National Heart, Lung, and Blood Institute, Framingham Heart Study, Framingham, Massachusetts, USA. [2] Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - John Danesh
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hester M den Ruijter
- 1] Experimental Cardiology Laboratory, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, the Netherlands. [2] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Raimund Erbel
- Clinic of Cardiology, West German Heart Centre, University Hospital Essen, Essen, Germany
| | - Jeanette Erdmann
- 1] DZHK (Deutsches Forschungszentrum für Herz-Kreislauferkrankungen-German Research Centre for Cardiovascular Research), partner site Hamburg-Lubeck-Kiel, Lubeck, Germany. [2] Institut für Integrative und Experimentelle Genomik, Universität zu Lübeck, Lübeck, Germany
| | - Johan G Eriksson
- 1] National Institute for Health and Welfare, Helsinki, Finland. [2] Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland. [3] Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - Martin Farrall
- 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. [2] Radcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford, UK
| | - Ele Ferrannini
- 1] Department of Internal Medicine, University of Pisa, Pisa, Italy. [2] National Research Council (CNR) Institute of Clinical Physiology, University of Pisa, Pisa, Italy
| | - Jean Ferrières
- Department of Cardiology, Toulouse University School of Medicine, Rangueil Hospital, Toulouse, France
| | - Ian Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Nita G Forouhi
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Terrence Forrester
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, Kingston, Jamaica
| | - Ron T Gansevoort
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Pablo V Gejman
- NorthShore University HealthSystem, University of Chicago, Evanston, Illinois, USA
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Alain Golay
- Service of Therapeutic Education for Diabetes, Obesity and Chronic Diseases, Geneva University Hospital, Geneva, Switzerland
| | - Omri Gottesman
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Vilmundur Gudnason
- 1] Icelandic Heart Association, Kopavogur, Iceland. [2] University of Iceland, Reykjavik, Iceland
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, SciLifeLab, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - David W Haas
- Department of Medicine, Pharmacology, Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Alistair S Hall
- Leeds MRC Medical Bioinformatics Centre, University of Leeds, Leeds, UK
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, US National Institutes of Health, Bethesda, Maryland, USA
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, UK
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Christian Hengstenberg
- 1] DZHK (Deutsches Forschungszentrum für Herz-Kreislauferkrankungen-German Research Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany. [2] Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
| | - Andrew A Hicks
- Center for Biomedicine, European Academy Bozen, Bolzano (EURAC), Bolzano, Italy (affiliated institute of the University of Lübeck, Lübeck, Germany)
| | - Lucia A Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, London, UK
| | - Albert Hofman
- 1] Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, the Netherlands. [2] Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - G Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Steven C Hunt
- Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Elina Hypponen
- 1] School of Population Health, University of South Australia, Adelaide, South Australia, Australia. [2] Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia. [3] South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia. [4] Centre for Paediatric Epidemiology and Biostatistics, University College London Institute of Child Health, London, UK
| | - Kevin B Jacobs
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA. [2] Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland, USA
| | - Marjo-Riitta Jarvelin
- 1] Department of Epidemiology and Biostatistics, Imperial College London, London, UK. [2] National Institute for Health and Welfare, Oulu, Finland. [3] MRC Health Protection Agency (HPA) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK. [4] Unit of Primary Care, Oulu University Hospital, Oulu, Finland. [5] Biocenter Oulu, University of Oulu, Oulu, Finland. [6] Institute of Health Sciences, University of Oulu, Oulu, Finland
| | | | - Antti M Jula
- National Institute for Health and Welfare, Helsinki, Finland
| | - Jaakko Kaprio
- 1] National Institute for Health and Welfare, Helsinki, Finland. [2] Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland. [3] Hjelt Institute Department of Public Health, University of Helsinki, Helsinki, Finland
| | - John J P Kastelein
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - Manfred Kayser
- 1] Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, the Netherlands. [2] Department of Forensic Molecular Biology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Frank Kee
- UK Clinical Research Collaboration Centre of Excellence for Public Health (Northern Ireland), Queens University of Belfast, Belfast, UK
| | - Sirkka M Keinanen-Kiukaanniemi
- 1] Faculty of Medicine, Institute of Health Sciences, University of Oulu, Oulu, Finland. [2] Unit of General Practice, Oulu University Hospital, Oulu, Finland
| | - Lambertus A Kiemeney
- 1] Department for Health Evidence, Radboud University Medical Centre, Nijmegen, the Netherlands. [2] Department of Urology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Jaspal S Kooner
- 1] Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK. [2] Imperial College Healthcare NHS Trust, London, UK. [3] National Heart and Lung Institute, Imperial College London, London, UK
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Seppo Koskinen
- National Institute for Health and Welfare, Helsinki, Finland
| | - Peter Kovacs
- 1] Integrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, Leipzig, Germany. [2] Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Aldi T Kraja
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Johanna Kuusisto
- Department of Medicine, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Timo A Lakka
- 1] Kuopio Research Institute of Exercise Medicine, Kuopio, Finland. [2] Department of Physiology, Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Kuopio, Finland. [3] Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Claudia Langenberg
- 1] Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK. [2] Department of Epidemiology and Public Health, University College London, London, UK
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland
| | - Sara Lupoli
- 1] Department of Health Sciences, University of Milano, Milan, Italy. [2] Fondazione Filarete, Milan, Italy
| | - Pamela A F Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Satu Männistö
- National Institute for Health and Welfare, Helsinki, Finland
| | - Paolo Manunta
- 1] Division of Nephrology and Dialysis, San Raffaele Scientific Institute, Milan, Italy. [2] Università Vita-Salute San Raffaele, Milan, Italy
| | - André Marette
- 1] Institut Universitaire de Cardiologie et de Pneumologie de Québec, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada. [2] Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Thomas Meitinger
- DZHK (Deutsches Forschungszentrum für Herz-Kreislauferkrankungen-German Research Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany
| | - Frans L Moll
- Department of Surgery, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Andrew D Morris
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - Andrew P Morris
- 1] Estonian Genome Center, University of Tartu, Tartu, Estonia. [2] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. [3] Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Jeffrey C Murray
- Department of Pediatrics, University of Iowa, Iowa City, Iowa, USA
| | - Mari Nelis
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Claes Ohlsson
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Albertine J Oldehinkel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ken K Ong
- 1] Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK. [2] MRC Unit for Lifelong Health and Ageing at University College London, London, UK
| | - Willem H Ouwehand
- 1] Department of Haematology, University of Cambridge, Cambridge, UK. [2] NHS Blood and Transplant, Cambridge, UK
| | - Gerard Pasterkamp
- Experimental Cardiology Laboratory, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Annette Peters
- 1] Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. [2] DZHK (Deutsches Forschungszentrum für Herz-Kreislauferkrankungen-German Research Centre for Cardiovascular Research), Munich Heart Alliance, Munich, Germany. [3] Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Peter P Pramstaller
- 1] Center for Biomedicine, European Academy Bozen, Bolzano (EURAC), Bolzano, Italy (affiliated institute of the University of Lübeck, Lübeck, Germany). [2] Department of Neurology, General Central Hospital, Bolzano, Italy
| | - Jackie F Price
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Lu Qi
- 1] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [2] Department of Nutrition, Harvard School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Olli T Raitakari
- 1] Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland. [2] Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - D C Rao
- 1] Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA. [2] Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA. [3] Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Treva K Rice
- 1] Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA. [2] Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Marylyn Ritchie
- Center for Systems Genomics, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Igor Rudan
- 1] Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK. [2] Croatian Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Nilesh J Samani
- 1] Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, UK. [2] National Institute for Health Research (NIHR) Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | | | - Mark A Sarzynski
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Peter E H Schwarz
- 1] Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany. [2] Paul Langerhans Institute Dresden, German Center for Diabetes Research (DZD), Dresden, Germany
| | - Sylvain Sebert
- Institute of Health Sciences, University of Oulu, Oulu, Finland
| | - Peter Sever
- International Centre for Circulatory Health, Imperial College London, London, UK
| | - Alan R Shuldiner
- 1] Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA. [2] Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA. [3] Geriatric Research and Education Clinical Center, Vetrans Administration Medical Center, Baltimore, Maryland, USA
| | - Juha Sinisalo
- Helsinki University Central Hospital Heart and Lung Center, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | | | - Ronald P Stolk
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Jean-Claude Tardif
- 1] Montreal Heart Institute, Montreal, Quebec, Canada. [2] Montreal Heart Institute, Université de Montréal, Montreal, Quebec, Canada
| | - Anke Tönjes
- 1] Integrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, Leipzig, Germany. [2] Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Angelo Tremblay
- Department of Kinesiology, Laval University, Quebec City, Quebec, Canada
| | - Elena Tremoli
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università di Milano and Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Jarmo Virtamo
- National Institute for Health and Welfare, Helsinki, Finland
| | - Marie-Claude Vohl
- 1] Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada. [2] Department of Food Science and Nutrition, Laval University, Quebec City, Quebec, Canada
| | - Philippe Amouyel
- Institut Pasteur de Lille, INSERM U744, Université de Lille 2, Lille, France
| | - Folkert W Asselbergs
- 1] Institute of Cardiovascular Science, University College London, London, UK. [2] Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, the Netherlands. [3] Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute Netherlands-Netherlands Heart Institute, Utrecht, the Netherlands
| | - Themistocles L Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Murielle Bochud
- 1] Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland. [2] Ministry of Health, Victoria, Republic of Seychelles
| | - Bernhard O Boehm
- 1] Division of Endocrinology, Diabetes and Metabolism, Ulm University Medical Centre, Ulm, Germany. [2] Lee Kong Chian School of Medicine, Imperial College London and Nanyang Technological University, Singapore
| | - Eric Boerwinkle
- Health Science Center at Houston, University of Texas, Houston, Texas, USA
| | - Erwin P Bottinger
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Stéphane Cauchi
- 1] CNRS UMR 8199, Lille, France. [2] European Genomic Institute for Diabetes, Lille, France. [3] Université de Lille 2, Lille, France
| | - John C Chambers
- 1] Ealing Hospital National Health Service (NHS) Trust, Middlesex, UK. [2] Department of Epidemiology and Biostatistics, Imperial College London, London, UK. [3] Imperial College Healthcare NHS Trust, London, UK
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Richard S Cooper
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University of Chicago, Maywood, Illinois, USA
| | - Paul I W de Bakker
- 1] Department of Medical Genetics, University Medical Center Utrecht, Utrecht, the Netherlands. [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. [3] Department of Epidemiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - George Dedoussis
- Department of Dietetics-Nutrition, Harokopio University, Athens, Greece
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Paul W Franks
- 1] Department of Nutrition, Harvard School of Public Health, Harvard University, Boston, Massachusetts, USA. [2] Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Center, Skåne University Hospital, Malmö, Sweden. [3] Department of Public Health and Clinical Medicine, Unit of Medicine, Umeå University, Umeå, Sweden
| | - Philippe Froguel
- 1] Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK. [2] CNRS UMR 8199, Lille, France. [3] European Genomic Institute for Diabetes, Lille, France. [4] Université de Lille 2, Lille, France
| | - Leif C Groop
- 1] Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland. [2] Lund University Diabetes Centre, Lund University, Malmö, Sweden. [3] Diabetes and Endocrinology Unit, Department of Clinical Science, Lund University, Malmö, Sweden
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Anders Hamsten
- Atherosclerosis Research Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - M Geoffrey Hayes
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jennie Hui
- 1] PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia, Australia. [2] Pathology and Laboratory Medicine, University of Western Australia, Perth, Western Australia, Australia. [3] School of Population Health, University of South Australia, Adelaide, South Australia, Australia. [4] Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
| | - David J Hunter
- 1] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [2] Department of Nutrition, Harvard School of Public Health, Harvard University, Boston, Massachusetts, USA. [3] Department of Epidemiology, Harvard School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Kristian Hveem
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway
| | - J Wouter Jukema
- 1] Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands. [2] Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute Netherlands-Netherlands Heart Institute, Utrecht, the Netherlands. [3] Interuniversity Cardiology Institute of the Netherlands (ICIN), Utrecht, the Netherlands
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine. Belfer, New York, USA
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at University College London, London, UK
| | - Markku Laakso
- Department of Medicine, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Yongmei Liu
- Center for Human Genetics, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Winfried März
- 1] Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Heidelberg, Germany. [2] Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria. [3] Synlab Academy, Synlab Services, Mannheim, Germany
| | - Mads Melbye
- 1] Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark. [2] Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Essen, Germany
| | - Patricia B Munroe
- 1] Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK. [2] Barts and The London Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Inger Njølstad
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Tromsø, Tromsø, Norway
| | - Ben A Oostra
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands. [2] Center for Medical Systems Biology, Leiden, the Netherlands. [3] Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Colin N A Palmer
- Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Markus Perola
- 1] Estonian Genome Center, University of Tartu, Tartu, Estonia. [2] National Institute for Health and Welfare, Helsinki, Finland. [3] Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Louis Pérusse
- 1] Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada. [2] Department of Kinesiology, Laval University, Quebec City, Quebec, Canada
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Joseph E Powell
- 1] Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia. [2] University of Queensland Diamantina Institute, Translation Research Institute, Brisbane, Queensland, Australia
| | - Chris Power
- Centre for Paediatric Epidemiology and Biostatistics, University College London Institute of Child Health, London, UK
| | - Thomas Quertermous
- Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Rainer Rauramaa
- 1] Kuopio Research Institute of Exercise Medicine, Kuopio, Finland. [2] Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Eva Reinmaa
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Paul M Ridker
- 1] Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA. [2] Harvard Medical School, Boston, Massachusetts, USA
| | - Fernando Rivadeneira
- 1] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, the Netherlands. [3] Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-University of California, Los Angeles Medical Center, Torrance, California, USA
| | - Timo E Saaristo
- 1] Finnish Diabetes Association, Tampere, Finland. [2] Pirkanmaa Hospital District, Tampere, Finland
| | - Danish Saleheen
- 1] Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. [2] Center for Non-Communicable Diseases, Karatchi, Pakistan. [3] Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland, USA
| | - P Eline Slagboom
- 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden, the Netherlands. [2] Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Konstantin Strauch
- 1] Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany. [2] Chair of Genetic Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians Universität, Neuherberg, Germany
| | - Michael Stumvoll
- 1] Integrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, Leipzig, Germany. [2] Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Jaakko Tuomilehto
- 1] National Institute for Health and Welfare, Helsinki, Finland. [2] Instituto de Investigacion Sanitaria del Hospital Universario La Paz (IdiPAZ), Madrid, Spain. [3] Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia. [4] Centre for Vascular Prevention, Danube University Krems, Krems, Austria
| | - Matti Uusitupa
- 1] Department of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland. [2] Research Unit, Kuopio University Hospital, Kuopio, Finland
| | - Pim van der Harst
- 1] Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. [2] Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. [3] Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute Netherlands-Netherlands Heart Institute, Utrecht, the Netherlands
| | - Henry Völzke
- 1] DZHK (Deutsches Zentrum für Herz-Kreislaufforschung-German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany. [2] Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle, UK
| | - Nicholas J Wareham
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Hugh Watkins
- 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. [2] Radcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford, UK
| | - H-Erich Wichmann
- 1] Chair of Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians Universität, Munich, Germany. [2] Klinikum Großhadern, Munich, Germany. [3] Institute of Epidemiology I, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - James F Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Pieter Zanen
- Department of Pulmonology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Panos Deloukas
- 1] Wellcome Trust Sanger Institute, Hinxton, UK. [2] William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK. [3] King Abdulaziz University, Jeddah, Saudi Arabia
| | - Iris M Heid
- 1] Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany. [2] Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Cecilia M Lindgren
- 1] Broad Institute of MIT and Harvard University, Cambridge, Massachusetts, USA. [2] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Elizabeth K Speliotes
- 1] Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA. [2] Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Unnur Thorsteinsdottir
- 1] deCODE Genetics, Amgen, Inc., Reykjavik, Iceland. [2] Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Inês Barroso
- 1] Wellcome Trust Sanger Institute, Hinxton, UK. [2] University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK. [3] NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Caroline S Fox
- National Heart, Lung, and Blood Institute, Framingham Heart Study, Framingham, Massachusetts, USA
| | - Kari E North
- 1] Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - David P Strachan
- Division of Population Health Sciences and Education, St George's, University of London, London, UK
| | - Jacques S Beckmann
- 1] Swiss Institute of Bioinformatics, Lausanne, Switzerland. [2] Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland. [3] Service of Medical Genetics, CHUV University Hospital, Lausanne, Switzerland
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Michael Boehnke
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Ingrid B Borecki
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Mark I McCarthy
- 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. [2] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK. [3] Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Andres Metspalu
- 1] Estonian Genome Center, University of Tartu, Tartu, Estonia. [2] Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Kari Stefansson
- 1] deCODE Genetics, Amgen, Inc., Reykjavik, Iceland. [2] Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - André G Uitterlinden
- 1] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, the Netherlands. [3] Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Cornelia M van Duijn
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, the Netherlands. [3] Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands. [4] Center for Medical Systems Biology, Leiden, the Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Cristen J Willer
- 1] Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA. [2] Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan, USA. [3] Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Alkes L Price
- 1] Broad Institute of MIT and Harvard University, Cambridge, Massachusetts, USA. [2] Department of Epidemiology, Harvard School of Public Health, Harvard University, Boston, Massachusetts, USA. [3] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Guillaume Lettre
- 1] Montreal Heart Institute, Montreal, Quebec, Canada. [2] Montreal Heart Institute, Université de Montréal, Montreal, Quebec, Canada
| | - Ruth J F Loos
- 1] Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK. [2] Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA. [3] Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA. [4] Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Michael N Weedon
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Erik Ingelsson
- 1] Science for Life Laboratory, Uppsala University, Uppsala, Sweden. [2] Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden. [3] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jeffrey R O'Connell
- 1] Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA. [2] Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Goncalo R Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Daniel I Chasman
- 1] Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA. [2] Harvard Medical School, Boston, Massachusetts, USA
| | - Michael E Goddard
- 1] Biosciences Research Division, Department of Primary Industries, Melbourne, Victoria, Australia. [2] Department of Food and Agricultural Systems, University of Melbourne, Melbourne, Victoria, Australia
| | - Peter M Visscher
- 1] Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia. [2] University of Queensland Diamantina Institute, Translation Research Institute, Brisbane, Queensland, Australia
| | - Joel N Hirschhorn
- 1] Division of Endocrinology, Genetics and Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts, USA. [2] Broad Institute of MIT and Harvard University, Cambridge, Massachusetts, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
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Park SL, Fesinmeyer MD, Timofeeva M, Caberto CP, Kocarnik JM, Han Y, Love SA, Young A, Dumitrescu L, Lin Y, Goodloe R, Wilkens LR, Hindorff L, Fowke JH, Carty C, Buyske S, Schumacher FR, Butler A, Dilks H, Deelman E, Cote ML, Chen W, Pande M, Christiani DC, Field JK, Bickebller H, Risch A, Heinrich J, Brennan P, Wang Y, Eisen T, Houlston RS, Thun M, Albanes D, Caporaso N, Peters U, North KE, Heiss G, Crawford DC, Bush WS, Haiman CA, Landi MT, Hung RJ, Kooperberg C, Amos CI, Le Marchand L, Cheng I. Pleiotropic associations of risk variants identified for other cancers with lung cancer risk: the PAGE and TRICL consortia. J Natl Cancer Inst 2014; 106:dju061. [PMID: 24681604 PMCID: PMC3982896 DOI: 10.1093/jnci/dju061] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Revised: 01/22/2014] [Accepted: 02/19/2014] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Genome-wide association studies have identified hundreds of genetic variants associated with specific cancers. A few of these risk regions have been associated with more than one cancer site; however, a systematic evaluation of the associations between risk variants for other cancers and lung cancer risk has yet to be performed. METHODS We included 18023 patients with lung cancer and 60543 control subjects from two consortia, Population Architecture using Genomics and Epidemiology (PAGE) and Transdisciplinary Research in Cancer of the Lung (TRICL). We examined 165 single-nucleotide polymorphisms (SNPs) that were previously associated with at least one of 16 non-lung cancer sites. Study-specific logistic regression results underwent meta-analysis, and associations were also examined by race/ethnicity, histological cell type, sex, and smoking status. A Bonferroni-corrected P value of 2.5×10(-5) was used to assign statistical significance. RESULTS The breast cancer SNP LSP1 rs3817198 was associated with an increased risk of lung cancer (odds ratio [OR] = 1.10; 95% confidence interval [CI] = 1.05 to 1.14; P = 2.8×10(-6)). This association was strongest for women with adenocarcinoma (P = 1.2×10(-4)) and not statistically significant in men (P = .14) with this cell type (P het by sex = .10). Two glioma risk variants, TERT rs2853676 and CDKN2BAS1 rs4977756, which are located in regions previously associated with lung cancer, were associated with increased risk of adenocarcinoma (OR = 1.16; 95% CI = 1.10 to 1.22; P = 1.1×10(-8)) and squamous cell carcinoma (OR = 1.13; CI = 1.07 to 1.19; P = 2.5×10(-5)), respectively. CONCLUSIONS Our findings demonstrate a novel pleiotropic association between the breast cancer LSP1 risk region marked by variant rs3817198 and lung cancer risk.
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Affiliation(s)
- S Lani Park
- Affiliations of authors: Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA (SLP, FRS, CAH); Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA (MDF, JMK, AY, YL, UP, CC, CK); Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh and Medical Research Council Human Genetics Unit, Edinburgh, UK (MT); Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI (CPC, LRW, LL); Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH (YH, CIA); Department of Epidemiology (S-AL, AB, KEN, GH) and Carolina Center for Genome Sciences (KEN), University of North Carolina, Chapel Hill, NC; Molecular Physiology and Biophysics (LD, DCC), Center for Human Genetics Research (LD, RG, HD, DCC, WSB), Vanderbilt Epidemiology Center (JHF), and Biomedical Informatics (WSB), Vanderbilt University, Nashville, TN; Division of Genomic Medicine, National Human Genome Research Institute (LH), and Division of Cancer Epidemiology and Genetics, National Cancer Institute (DA, NC, MTL), National Institutes of Health, Bethesda, MD; Department of Statistics and Biostatistics, Rutgers University, Piscataway, NJ (SB); Information Sciences Institute, University of Southern California, Marina del Rey, CA (ED); Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan (MLC); M.D. Anderson Cancer Center, Houston, TX (WC, MP); Harvard University School of Public Health, Boston, MA (DCC); Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, The University of Liverpool Cancer Research Centre, Institute of Translational Medicine, The University of Liverpool, Liverpool, UK (JKF); Department of Genetic Epidemiology, University Medical Centre Göttingen, Göttingen, Germany (HB); DKFZ-German Cancer Research Center and Translatio
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Bartlett CW, Hou L, Flax JF, Hare A, Cheong SY, Fermano Z, Zimmerman-Bier B, Cartwright C, Azaro MA, Buyske S, Brzustowicz LM. A genome scan for loci shared by autism spectrum disorder and language impairment. Am J Psychiatry 2014; 171:72-81. [PMID: 24170272 PMCID: PMC4431698 DOI: 10.1176/appi.ajp.2013.12081103] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE The authors conducted a genetic linkage study of families that have both autism spectrum disorder (ASD) and language-impaired probands to find common communication impairment loci. The hypothesis was that these families have a high genetic loading for impairments in language ability, thus influencing the language and communication deficits of the family members with ASD. Comprehensive behavioral phenotyping of the families also enabled linkage analysis of quantitative measures, including normal, subclinical, and disordered variation in all family members for the three general autism symptom domains: social, communication, and compulsive behaviors. METHOD The primary linkage analysis coded persons with either ASD or specific language impairment as "affected." The secondary linkage analysis consisted of quantitative metrics of autism-associated behaviors capturing normal to clinically severe variation, measured in all family members. RESULTS Linkage to language phenotypes was established at two novel chromosomal loci, 15q23-26 and 16p12. The secondary analysis of normal and disordered quantitative variation in social and compulsive behaviors established linkage to two loci for social behaviors (at 14q and 15q) and one locus for repetitive behaviors (at 13q). CONCLUSION These data indicate shared etiology of ASD and specific language impairment at two novel loci. Additionally, nonlanguage phenotypes based on social aloofness and rigid personality traits showed compelling evidence for linkage in this study group. Further genetic mapping is warranted at these loci.
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Affiliation(s)
- Christopher W. Bartlett
- The Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital and Department of Pediatrics, The Ohio State University, Columbus, OH
| | - Liping Hou
- The Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital and Department of Pediatrics, The Ohio State University, Columbus, OH
| | - Judy F. Flax
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ
| | - Abby Hare
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ
| | - Soo Yeon Cheong
- The Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital and Department of Pediatrics, The Ohio State University, Columbus, OH
| | - Zena Fermano
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ
| | - Barbie Zimmerman-Bier
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ,Department of Pediatrics, Saint Peter's University Hospital, New Brunswick, NJ
| | - Charles Cartwright
- Department of Psychiatry, University of Medicine and Dentistry of New Jersey – New Jersey Medical School, Newark, NJ
| | - Marco A. Azaro
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ
| | - Steven Buyske
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ,Department of Statistics and Biostatistics, Rutgers University, Rutgers University, Piscataway, NJ
| | - Linda M. Brzustowicz
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ,Corresponding Author:
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Gong J, Schumacher F, Lim U, Hindorff L, Haessler J, Buyske S, Carlson C, Rosse S, Bůžková P, Fornage M, Gross M, Pankratz N, Pankow J, Schreiner P, Cooper R, Ehret G, Gu C, Houston D, Irvin M, Jackson R, Kuller L, Henderson B, Cheng I, Wilkens L, Leppert M, Lewis C, Li R, Nguyen KD, Goodloe R, Farber-Eger E, Boston J, Dilks H, Ritchie M, Fowke J, Pooler L, Graff M, Fernandez-Rhodes L, Cochrane B, Boerwinkle E, Kooperberg C, Matise T, Le Marchand L, Crawford D, Haiman C, North K, Peters U. Fine Mapping and Identification of BMI Loci in African Americans. Am J Hum Genet 2013; 93:661-71. [PMID: 24094743 DOI: 10.1016/j.ajhg.2013.08.012] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2013] [Revised: 08/07/2013] [Accepted: 08/16/2013] [Indexed: 10/26/2022] Open
Abstract
Genome-wide association studies (GWASs) primarily performed in European-ancestry (EA) populations have identified numerous loci associated with body mass index (BMI). However, it is still unclear whether these GWAS loci can be generalized to other ethnic groups, such as African Americans (AAs). Furthermore, the putative functional variant or variants in these loci mostly remain under investigation. The overall lower linkage disequilibrium in AA compared to EA populations provides the opportunity to narrow in or fine-map these BMI-related loci. Therefore, we used the Metabochip to densely genotype and evaluate 21 BMI GWAS loci identified in EA studies in 29,151 AAs from the Population Architecture using Genomics and Epidemiology (PAGE) study. Eight of the 21 loci (SEC16B, TMEM18, ETV5, GNPDA2, TFAP2B, BDNF, FTO, and MC4R) were found to be associated with BMI in AAs at 5.8 × 10(-5). Within seven out of these eight loci, we found that, on average, a substantially smaller number of variants was correlated (r(2) > 0.5) with the most significant SNP in AA than in EA populations (16 versus 55). Conditional analyses revealed GNPDA2 harboring a potential additional independent signal. Moreover, Metabochip-wide discovery analyses revealed two BMI-related loci, BRE (rs116612809, p = 3.6 × 10(-8)) and DHX34 (rs4802349, p = 1.2 × 10(-7)), which were significant when adjustment was made for the total number of SNPs tested across the chip. These results demonstrate that fine mapping in AAs is a powerful approach for both narrowing in on the underlying causal variants in known loci and discovering BMI-related loci.
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Fesinmeyer MD, Meigs JB, North KE, Schumacher FR, Bůžková P, Franceschini N, Haessler J, Goodloe R, Spencer KL, Voruganti VS, Howard BV, Jackson R, Kolonel LN, Liu S, Manson JE, Monroe KR, Mukamal K, Dilks HH, Pendergrass SA, Nato A, Wan P, Wilkens LR, Le Marchand L, Ambite JL, Buyske S, Florez JC, Crawford DC, Hindorff LA, Haiman CA, Peters U, Pankow JS. Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study. BMC Med Genet 2013; 14:98. [PMID: 24063630 PMCID: PMC3849560 DOI: 10.1186/1471-2350-14-98] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/04/2012] [Accepted: 09/10/2013] [Indexed: 11/10/2022]
Abstract
BACKGROUND Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S. METHODS As part of the 'Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we investigated the association of up to 10 GWAS-identified single nucleotide polymorphisms (SNPs) in 8 genetic regions with glucose or insulin concentrations in up to 36,579 non-diabetic subjects including 23,323 European Americans (EA) and 7,526 African Americans (AA), 3,140 Hispanics, 1,779 American Indians (AI), and 811 Asians. We estimated the association between each SNP and fasting glucose or log-transformed fasting insulin, followed by meta-analysis to combine results across PAGE sites. RESULTS Overall, our results show that 9/9 GWAS SNPs are associated with glucose in EA (p = 0.04 to 9 × 10-15), versus 3/9 in AA (p= 0.03 to 6 × 10-5), 3/4 SNPs in Hispanics, 2/4 SNPs in AI, and 1/2 SNPs in Asians. For insulin we observed a significant association with rs780094/GCKR in EA, Hispanics and AI only. CONCLUSIONS Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism. Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium.
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Affiliation(s)
- Megan D Fesinmeyer
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis MN, USA.
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Carlson CS, Matise TC, North KE, Haiman CA, Fesinmeyer MD, Buyske S, Schumacher FR, Peters U, Franceschini N, Ritchie MD, Duggan DJ, Spencer KL, Dumitrescu L, Eaton CB, Thomas F, Young A, Carty C, Heiss G, Le Marchand L, Crawford DC, Hindorff LA, Kooperberg CL. Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. PLoS Biol 2013; 11:e1001661. [PMID: 24068893 PMCID: PMC3775722 DOI: 10.1371/journal.pbio.1001661] [Citation(s) in RCA: 156] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2013] [Accepted: 08/08/2013] [Indexed: 01/12/2023] Open
Abstract
The vast majority of genome-wide association study (GWAS) findings reported to date are from populations with European Ancestry (EA), and it is not yet clear how broadly the genetic associations described will generalize to populations of diverse ancestry. The Population Architecture Using Genomics and Epidemiology (PAGE) study is a consortium of multi-ancestry, population-based studies formed with the objective of refining our understanding of the genetic architecture of common traits emerging from GWAS. In the present analysis of five common diseases and traits, including body mass index, type 2 diabetes, and lipid levels, we compare direction and magnitude of effects for GWAS-identified variants in multiple non-EA populations against EA findings. We demonstrate that, in all populations analyzed, a significant majority of GWAS-identified variants have allelic associations in the same direction as in EA, with none showing a statistically significant effect in the opposite direction, after adjustment for multiple testing. However, 25% of tagSNPs identified in EA GWAS have significantly different effect sizes in at least one non-EA population, and these differential effects were most frequent in African Americans where all differential effects were diluted toward the null. We demonstrate that differential LD between tagSNPs and functional variants within populations contributes significantly to dilute effect sizes in this population. Although most variants identified from GWAS in EA populations generalize to all non-EA populations assessed, genetic models derived from GWAS findings in EA may generate spurious results in non-EA populations due to differential effect sizes. Regardless of the origin of the differential effects, caution should be exercised in applying any genetic risk prediction model based on tagSNPs outside of the ancestry group in which it was derived. Models based directly on functional variation may generalize more robustly, but the identification of functional variants remains challenging.
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Affiliation(s)
- Christopher S. Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- * E-mail:
| | - Tara C. Matise
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Kari E. North
- Department of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Megan D. Fesinmeyer
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington, United States of America
| | - Steven Buyske
- Department of Statistics & Biostatistics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Fredrick R. Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Nora Franceschini
- Department of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Marylyn D. Ritchie
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - David J. Duggan
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Kylee L. Spencer
- Department of Biology & Environmental Science at Heidelberg University, Tiffin, Ohio, United States of America
| | - Logan Dumitrescu
- Department of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Charles B. Eaton
- Department of Family Medicine, Brown University, Pawtucket, Rhode Island, United States of America
| | - Fridtjof Thomas
- Division of Biostatistics & Epidemiology, Department of Preventive Medicine, College of Medicine, The University of Tennessee Healthy Science Center, Memphis, Tennessee, United States of America
| | - Alicia Young
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Cara Carty
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Gerardo Heiss
- Department of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Dana C. Crawford
- Department of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Lucia A. Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Charles L. Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
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Duan Q, Liu EY, Auer PL, Zhang G, Lange EM, Jun G, Bizon C, Jiao S, Buyske S, Franceschini N, Carlson CS, Hsu L, Reiner AP, Peters U, Haessler J, Curtis K, Wassel CL, Robinson JG, Martin LW, Haiman CA, Le Marchand L, Matise TC, Hindorff LA, Crawford DC, Assimes TL, Kang HM, Heiss G, Jackson RD, Kooperberg C, Wilson JG, Abecasis GR, North KE, Nickerson DA, Lange LA, Li Y. Imputation of coding variants in African Americans: better performance using data from the exome sequencing project. Bioinformatics 2013; 29:2744-9. [PMID: 23956302 DOI: 10.1093/bioinformatics/btt477] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
SUMMARY Although the 1000 Genomes haplotypes are the most commonly used reference panel for imputation, medical sequencing projects are generating large alternate sets of sequenced samples. Imputation in African Americans using 3384 haplotypes from the Exome Sequencing Project, compared with 2184 haplotypes from 1000 Genomes Project, increased effective sample size by 8.3-11.4% for coding variants with minor allele frequency <1%. No loss of imputation quality was observed using a panel built from phenotypic extremes. We recommend using haplotypes from Exome Sequencing Project alone or concatenation of the two panels over quality score-based post-imputation selection or IMPUTE2's two-panel combination. CONTACT yunli@med.unc.edu. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Qing Duan
- Department of Genetics and Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA, Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA, Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Statistics and Department of Genetics, Rutgers University, Piscataway, NJ 08854, USA, Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Epidemiology, University of Washington, Seattle, WA 98195, USA, Division of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA, Department of Epidemiology and Medicine, University of Iowa, Iowa City, IA 52242, Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC 20037, USA, Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA, Epidemiology Program, University of Hawaii Cancer Center, HI 96813, USA, Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA, Department of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University, Nashville, TN 37232, USA, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA, Division of Endocrinology, Diabetes and Metabolism, Ohio State University, Columbus, OH 43210, USA, Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
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