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Georgakis MK, Malik R, Bounkari OE, Hasbani NR, Li J, Huffman JE, Shakt G, Tack RWP, Kimball TN, Asare Y, Morrison AC, Tsao NL, Judy R, Mitchell BD, Xu H, Montasser ME, Do R, Kenny EE, Loos RJF, Terry JG, Carr JJ, Bis JC, Psaty BM, Longstreth WT, Young KA, Lutz SM, Cho MH, Broome J, Khan AT, Wang FF, Heard-Costa N, Seshadri S, Vasan RS, Palmer ND, Freedman BI, Bowden DW, Yanek LR, Kral BG, Becker LC, Peyser PA, Bielak LF, Ammous F, Carson AP, Hall ME, Raffield LM, Rich SS, Post WS, Tracy RP, Taylor KD, Guo X, Mahaney MC, Curran JE, Blangero J, Clarke SL, Haessler JW, Hu Y, Assimes TL, Kooperberg C, Bernhagen J, Anderson CD, Damrauer SM, Zand R, Rotter JI, de Vries PS, Dichgans M. A loss-of-function CCR2 variant is associated with lower cardiovascular risk. medRxiv 2024:2023.08.14.23294063. [PMID: 37645892 PMCID: PMC10462211 DOI: 10.1101/2023.08.14.23294063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Background and Aims Ample evidence links CCL2, a key chemokine governing monocyte trafficking, with atherosclerosis. However, it remains unknown whether targeting the CCL2 receptor CCR2 could provide protection against cardiovascular disease. Methods Computationally predicted damaging (REVEL>0.5) variants within CCR2 were detected in whole-exome-sequencing data from 454,775 UK Biobank participants and tested for association with cardiovascular endpoints in gene-burden tests. Given the key role of CCR2 in monocyte mobilization, variants associated with lower monocyte count were prioritized for experimental validation. The response to CCL2 of human cells transfected with these variants was tested in migration and cAMP assays. Validated loss-of-function variants were tested for association with cardiovascular endpoints, atherosclerosis burden, and vascular risk factors. Significant associations were replicated in six independent datasets (n=1,062,595). Results Carriers of 45 predicted damaging CCR2 variants were at lower risk of myocardial infarction and coronary artery disease. One of these variants (M249K) was associated with lower monocyte count and decreased signaling and chemoattraction in response to CCL2. While M249K showed no association with conventional vascular risk factors, it was consistently associated with a lower risk of myocardial infarction (Odds Ratio: 0.66 95% Confidence Interval: 0.54-0.81,p=6.1x10-5) and coronary artery disease(Odds Ratio: 0.74 95% Confidence Interval: 0.62-0.87, p=2.9x10-4) in the UK Biobank and in six replication cohorts. In a phenome-wide association study, there was no evidence of higher infections risk among M249K carriers. Conclusions Carriers of an experimentally confirmed loss-of-function CCR2 variant are at a lower lifetime risk of myocardial infarction and coronary artery disease without carrying a higher infection risk. Our findings provide genetic support for the translational potential of CCR2-targeting as an atheroprotective approach.
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Xu H, Nguyen K, Gaynor BJ, Ling H, Zhao W, McArdle PF, O’Connor TD, Stine OC, Ryan KA, Lynch M, Smith JA, Faul JD, Hu Y, Haessler JW, Fornage M, Kooperberg C, Perry JA, Hong CC, Cole JW, Pugh E, Doheny K, Kardia SLR, Weir DR, Kittner SJ, Mitchell BD. Exome Array Analysis of 9721 Ischemic Stroke Cases from the SiGN Consortium. Genes (Basel) 2022; 14:61. [PMID: 36672803 PMCID: PMC9858999 DOI: 10.3390/genes14010061] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/29/2022] Open
Abstract
Recent genome wide association studies have identified 89 common genetic variants robustly associated with ischemic stroke and primarily located in non-coding regions. To evaluate the contribution of coding variants, which are mostly rare, we performed an exome array analysis on 106,101 SNPs for 9721 ischemic stroke cases from the SiGN Consortium, and 12,345 subjects with no history of stroke from the Health Retirement Study and SiGN consortium. We identified 15 coding variants significantly associated with all ischemic stroke at array-wide threshold (i.e., p < 4.7 × 10-7), including two common SNPs in ABO that have previously been associated with stroke. Twelve of the remaining 13 variants were extremely rare in European Caucasians (MAF < 0.1%) and the associations were driven by African American samples. There was no evidence for replication of these associations in either TOPMed Stroke samples (n = 5613 cases) or UK Biobank (n = 5874 stroke cases), although power to replicate was very low given the low allele frequencies of the associated variants and a shortage of samples from diverse ancestries. Our study highlights the need for acquiring large, well-powered diverse cohorts to study rare variants, and the technical challenges using array-based genotyping technologies for rare variant genotyping.
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Affiliation(s)
- Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Kevin Nguyen
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Brady J. Gaynor
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Hua Ling
- Center for Inherited Disease Research, Dept. of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Wei Zhao
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Patrick F. McArdle
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Timothy D. O’Connor
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - O. Colin Stine
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Kathleen A. Ryan
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Megan Lynch
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Jennifer A. Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yao Hu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jeffrey W. Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | | | - James A. Perry
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Charles C. Hong
- Department of Cardiology Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - John W. Cole
- Department of Neurology Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Elizabeth Pugh
- Center for Inherited Disease Research, Dept. of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Kimberly Doheny
- Center for Inherited Disease Research, Dept. of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
| | - Steven J. Kittner
- Department of Neurology Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD 21201, USA
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Hu Y, Haessler JW, Manansala R, Wiggins KL, Moscati A, Beiser A, Heard-Costa NL, Sarnowski C, Raffield LM, Chung J, Marini S, Anderson CD, Rosand J, Xu H, Sun X, Kelly TN, Wong Q, Lange LA, Rotter JI, Correa A, Vasan RS, Seshadri S, Rich SS, Do R, Loos RJ, Longstreth WT, Bis JC, Psaty BM, Tirschwell DL, Assimes TL, Silver B, Liu S, Jackson R, Smoller S, Mitchell BD, Fornage M, Auer PL, Reiner AP, Kooperberg C. Whole-Genome Sequencing Association Analyses of Stroke and Its Subtypes in Ancestrally Diverse Populations From Trans-Omics for Precision Medicine Project. Stroke 2022; 53:875-885. [PMID: 34727735 PMCID: PMC8885789 DOI: 10.1161/strokeaha.120.031792] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 06/24/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Stroke is the leading cause of death and long-term disability worldwide. Previous genome-wide association studies identified 51 loci associated with stroke (mostly ischemic) and its subtypes among predominantly European populations. Using whole-genome sequencing in ancestrally diverse populations from the Trans-Omics for Precision Medicine (TOPMed) Program, we aimed to identify novel variants, especially low-frequency or ancestry-specific variants, associated with all stroke, ischemic stroke and its subtypes (large artery, cardioembolic, and small vessel), and hemorrhagic stroke and its subtypes (intracerebral and subarachnoid). METHODS Whole-genome sequencing data were available for 6833 stroke cases and 27 116 controls, including 22 315 European, 7877 Black, 2616 Hispanic/Latino, 850 Asian, 54 Native American, and 237 other ancestry participants. In TOPMed, we performed single variant association analysis examining 40 million common variants and aggregated association analysis focusing on rare variants. We also combined TOPMed European populations with over 28 000 additional European participants from the UK BioBank genome-wide array data through meta-analysis. RESULTS In the single variant association analysis in TOPMed, we identified one novel locus 13q33 for large artery at whole-genome-wide significance (P<5.00×10-9) and 4 novel loci at genome-wide significance (P<5.00×10-8), all of which need confirmation in independent studies. Lead variants in all 5 loci are low-frequency but are more common in non-European populations. An aggregation of synonymous rare variants within the gene C6orf26 demonstrated suggestive evidence of association for hemorrhagic stroke (P<3.11×10-6). By meta-analyzing European ancestry samples in TOPMed and UK BioBank, we replicated several previously reported stroke loci including PITX2, HDAC9, ZFHX3, and LRCH1. CONCLUSIONS We represent the first association analysis for stroke and its subtypes using whole-genome sequencing data from ancestrally diverse populations. While our findings suggest the potential benefits of combining whole-genome sequencing data with populations of diverse genetic backgrounds to identify possible low-frequency or ancestry-specific variants, they also highlight the need to increase genome coverage and sample sizes.
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Affiliation(s)
- Yao Hu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jeffrey W. Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Regina Manansala
- School of Public Health, University of Wisconsin–Milwaukee, Milwaukee, WI
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Arden Moscati
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Alexa Beiser
- Department of Neurology, Boston University School of Medicine, Boston, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | | | - Chloe Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - Jaeyoon Chung
- Department of Medicine, Boston University School of Medicine, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Sandro Marini
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Christopher D. Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA
| | - Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Xiao Sun
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Tanika N. Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA
| | | | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Adolfo Correa
- Department of Pediatrics and Medicine, University of Mississippi Medical Center, Jackson, MS
| | | | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Genetics and Genomic Sciences, The Icahn School of Medicine at Mount Sinai, New York, NY
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Departments of Epidemiology and Health Services, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | | | | | - Brian Silver
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA
| | - Simin Liu
- Center for Global Cardiometabolic Health, Departments of Epidemiology, Medicine, and Surgery, Brown University, Providence, RI
| | - Rebecca Jackson
- Division of Endocrinology Diabetes and Metabolism, The Ohio State University, Columbus, OH
| | - Sylvia Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX
| | - Paul L. Auer
- School of Public Health, University of Wisconsin–Milwaukee, Milwaukee, WI
| | - Alex P. Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
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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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