3651
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Keenan BT, Shulman JM, Chibnik LB, Raj T, Tran D, Sabuncu MR, The Alzheimer's Disease Neuroimaging Initiative, Allen AN, Corneveaux JJ, Hardy JA, Huentelman MJ, Lemere CA, Myers AJ, Nicholson-Weller A, Reiman EM, Evans DA, Bennett DA, De Jager PL. A coding variant in CR1 interacts with APOE-ε4 to influence cognitive decline. Hum Mol Genet 2012; 21:2377-88. [PMID: 22343410 PMCID: PMC3335317 DOI: 10.1093/hmg/dds054] [Citation(s) in RCA: 81] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Accepted: 02/13/2012] [Indexed: 02/02/2023] Open
Abstract
Complement receptor 1 (CR1) is an Alzheimer's disease (AD) susceptibility locus that also influences AD-related traits such as episodic memory decline and neuritic amyloid plaque deposition. We implemented a functional fine-mapping approach, leveraging intermediate phenotypes to identify functional variant(s) within the CR1 locus. Using 1709 subjects (697 deceased) from the Religious Orders Study and the Rush Memory and Aging Project, we tested 41 single-nucleotide polymorphisms (SNPs) within the linkage disequilibrium block containing the published CR1 AD SNP (rs6656401) for associations with episodic memory decline, and then examined the functional consequences of the top result. We report that a coding variant in the LHR-D (long homologous repeat D) region of the CR1 gene, rs4844609 (Ser1610Thr, minor allele frequency = 0.02), is associated with episodic memory decline and accounts for the known effect of the index SNP rs6656401 (D' = 1, r(2)= 0.084) on this trait. Further, we demonstrate that the coding variant's effect is largely dependent on an interaction with APOE-ε4 and mediated by an increased burden of AD-related neuropathology. Finally, in our data, this coding variant is also associated with AD susceptibility (joint odds ratio = 1.4). Taken together, our analyses identify a CR1 coding variant that influences episodic memory decline; it is a variant known to alter the conformation of CR1 and points to LHR-D as the functional domain within the CR1 protein that mediates the effect on memory decline. We thus implicate C1q and MBL, which bind to LHR-D, as likely targets of the variant's effect and suggest that CR1 may be an important intermediate in the clearance of Aβ42 particles by C1q.
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Affiliation(s)
- Brendan T. Keenan
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Joshua M. Shulman
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Lori B. Chibnik
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Towfique Raj
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Dong Tran
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Mert R. Sabuncu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 Thirteenth Street, Suite 2301, Charlestown, MA 02129, USA
- Computer Science and Artificial Intelligence Laboratory (CSAIL) and Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA
| | | | - April N. Allen
- Neurogenomics Division, Translational Genomics Research Institute and Arizona Alzheimer's Consortium, 445 North Fifth Street, Phoenix, AZ 85004, USA
| | - Jason J. Corneveaux
- Neurogenomics Division, Translational Genomics Research Institute and Arizona Alzheimer's Consortium, 445 North Fifth Street, Phoenix, AZ 85004, USA
| | - John A. Hardy
- Laboratory of Neurogenetics, National Institute on Aging, Porter Neuroscience Research Center, Building 35, Room 1A1000, Bethesda, MD 20892, USA
- Reta Lila Weston Laboratories, Department of Molecular Neuroscience, Institute of Neurology, Queen Square, London, UK
| | - Matthew J. Huentelman
- Neurogenomics Division, Translational Genomics Research Institute and Arizona Alzheimer's Consortium, 445 North Fifth Street, Phoenix, AZ 85004, USA
| | - Cynthia A. Lemere
- Harvard Medical School, Boston, MA 02115, USA
- Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, 77 Avenue Louis Pasteur, 7th Floor, Boston, MA 02115, USA
| | - Amanda J. Myers
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Johnnie B. Byrd Sr. Alzheimer's Center and Research Institute, 4001 East Fletcher Avenue, Tampa, FL 33136, USA
| | - Anne Nicholson-Weller
- Harvard Medical School, Boston, MA 02115, USA
- Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02115, USA
| | - Eric M. Reiman
- Neurogenomics Division, Translational Genomics Research Institute and Arizona Alzheimer's Consortium, 445 North Fifth Street, Phoenix, AZ 85004, USA
- Banner Alzheimer's Institute and Department of Psychiatry, University of Arizona, 901 East Willetta Street, Phoenix, AZ 85006, USA and
| | - Denis A. Evans
- Department of Internal Medicine
- Department of Neurological Science and
- Rush Alzheimer's Disease Center, Rush University Medical Center, 600 South Paulina Street, Chicago, IL 60612, USA
| | - David A. Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, 600 South Paulina Street, Chicago, IL 60612, USA
| | - Philip L. De Jager
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, NRB168, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
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3652
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Fox CS, Liu Y, White CC, Feitosa M, Smith AV, Heard-Costa N, Lohman K, GIANT Consortium, MAGIC Consortium, GLGC Consortium, Johnson AD, Foster MC, Greenawalt DM, Griffin P, Ding J, Newman AB, Tylavsky F, Miljkovic I, Kritchevsky SB, Launer L, Garcia M, Eiriksdottir G, Carr JJ, Gudnason V, Harris TB, Cupples LA, Borecki IB. Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women. PLoS Genet 2012; 8:e1002695. [PMID: 22589738 PMCID: PMC3349734 DOI: 10.1371/journal.pgen.1002695] [Citation(s) in RCA: 216] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2011] [Accepted: 03/20/2012] [Indexed: 01/08/2023] Open
Abstract
Body fat distribution, particularly centralized obesity, is associated with metabolic risk above and beyond total adiposity. We performed genome-wide association of abdominal adipose depots quantified using computed tomography (CT) to uncover novel loci for body fat distribution among participants of European ancestry. Subcutaneous and visceral fat were quantified in 5,560 women and 4,997 men from 4 population-based studies. Genome-wide genotyping was performed using standard arrays and imputed to ~2.5 million Hapmap SNPs. Each study performed a genome-wide association analysis of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), VAT adjusted for body mass index, and VAT/SAT ratio (a metric of the propensity to store fat viscerally as compared to subcutaneously) in the overall sample and in women and men separately. A weighted z-score meta-analysis was conducted. For the VAT/SAT ratio, our most significant p-value was rs11118316 at LYPLAL1 gene (p = 3.1 × 10E-09), previously identified in association with waist-hip ratio. For SAT, the most significant SNP was in the FTO gene (p = 5.9 × 10E-08). Given the known gender differences in body fat distribution, we performed sex-specific analyses. Our most significant finding was for VAT in women, rs1659258 near THNSL2 (p = 1.6 × 10-08), but not men (p = 0.75). Validation of this SNP in the GIANT consortium data demonstrated a similar sex-specific pattern, with observed significance in women (p = 0.006) but not men (p = 0.24) for BMI and waist circumference (p = 0.04 [women], p = 0.49 [men]). Finally, we interrogated our data for the 14 recently published loci for body fat distribution (measured by waist-hip ratio adjusted for BMI); associations were observed at 7 of these loci. In contrast, we observed associations at only 7/32 loci previously identified in association with BMI; the majority of overlap was observed with SAT. Genome-wide association for visceral and subcutaneous fat revealed a SNP for VAT in women. More refined phenotypes for body composition and fat distribution can detect new loci not previously uncovered in large-scale GWAS of anthropometric traits.
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Affiliation(s)
- Caroline S. Fox
- Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
- Center for Population Studies, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
- Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Charles C. White
- Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Albert V. Smith
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Nancy Heard-Costa
- Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Kurt Lohman
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | | | | | | | - Andrew D. Johnson
- Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
- Center for Population Studies, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
| | - Meredith C. Foster
- Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
- Center for Population Studies, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
| | | | - Paula Griffin
- Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Jinghong Ding
- Department of Internal Medicine/Geriatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Anne B. Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Fran Tylavsky
- Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee, United States of America
| | - Iva Miljkovic
- Center for Aging and Population Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Stephen B. Kritchevsky
- Department of Internal Medicine/Geriatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Lenore Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Melissa Garcia
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | | | - J. Jeffrey Carr
- Departments of Radiologic Sciences, Internal Medicine-Cardiology, and Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Vilmunder Gudnason
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - L. Adrienne Cupples
- Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Framingham, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Ingrid B. Borecki
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America
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3653
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Fox CS, White CC, Lohman K, Heard-Costa N, Cohen P, Zhang Y, Johnson AD, Emilsson V, Liu CT, Chen YDI, Taylor KD, Allison M, Budoff M, The CARDIoGRAM Consortium, Rotter JI, Carr JJ, Hoffmann U, Ding J, Cupples LA, Liu Y. Genome-wide association of pericardial fat identifies a unique locus for ectopic fat. PLoS Genet 2012; 8:e1002705. [PMID: 22589742 PMCID: PMC3349742 DOI: 10.1371/journal.pgen.1002705] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2011] [Accepted: 03/27/2012] [Indexed: 12/18/2022] Open
Abstract
Pericardial fat is a localized fat depot associated with coronary artery calcium and myocardial infarction. We hypothesized that genetic loci would be associated with pericardial fat independent of other body fat depots. Pericardial fat was quantified in 5,487 individuals of European ancestry from the Framingham Heart Study (FHS) and the Multi-Ethnic Study of Atherosclerosis (MESA). Genotyping was performed using standard arrays and imputed to ∼2.5 million Hapmap SNPs. Each study performed a genome-wide association analysis of pericardial fat adjusted for age, sex, weight, and height. A weighted z-score meta-analysis was conducted, and validation was obtained in an additional 3,602 multi-ethnic individuals from the MESA study. We identified a genome-wide significant signal in our primary meta-analysis at rs10198628 near TRIB2 (MAF 0.49, p = 2.7×10-08). This SNP was not associated with visceral fat (p = 0.17) or body mass index (p = 0.38), although we observed direction-consistent, nominal significance with visceral fat adjusted for BMI (p = 0.01) in the Framingham Heart Study. Our findings were robust among African ancestry (n = 1,442, p = 0.001), Hispanic (n = 1,399, p = 0.004), and Chinese (n = 761, p = 0.007) participants from the MESA study, with a combined p-value of 5.4E-14. We observed TRIB2 gene expression in the pericardial fat of mice. rs10198628 near TRIB2 is associated with pericardial fat but not measures of generalized or visceral adiposity, reinforcing the concept that there are unique genetic underpinnings to ectopic fat distribution. Pericardial fat is a localized fat depot associated with coronary artery calcium and myocardial infarction. To test whether genetic loci are associated with pericardial fat independent of other body fat depots, we measured pericardial fat in 5,487 individuals of European ancestry. After performing an unbiased screen using genome-wide association, we identified a genome-wide significant signal in our primary meta-analysis at rs10198628 near TRIB2 (MAF 0.49, p = 2.7×10-08). This SNP was not associated with visceral fat (p = 0.17) or body mass index (p = 0.38). Our findings were robust among multi-ethnic participants from the MESA study, with a combined p-value of 5.4E-14. We observed TRIB2 gene expression in the pericardial fat of mice. rs10198628 near TRIB2 is associated with pericardial fat but not measures of generalized or visceral adiposity, reinforcing the concept that there are unique genetic underpinnings to ectopic fat distribution.
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Affiliation(s)
- Caroline S. Fox
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
- Center for Population Studies, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
- Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail: (CSF); (YL)
| | - Charles C. White
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Kurt Lohman
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Nancy Heard-Costa
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Paul Cohen
- Division of Cardiovascular Medicine and Department of Cancer Biology, Brigham and Women's Hospital and Dana Farber Cancer Institute, Boston, Massachusetts, United States of America
| | - Yingying Zhang
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, Massachusetts, United States of America
| | - Andrew D. Johnson
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
- Center for Population Studies, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
| | | | - Ching-Ti Liu
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Y.-D. Ida Chen
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Kent D. Taylor
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Matthew Allison
- Department of Preventive Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Matthew Budoff
- Los Angeles Biomedical Research Institute, Torrance, California, United States of America
| | | | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - J. Jeffrey Carr
- Departments of Radiologic Sciences, Internal Medicine-Cardiology, and Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Udo Hoffmann
- Cardiac MR, PET, CT Program and the Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Jingzhong Ding
- Department of Internal Medicine/Geriatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - L. Adrienne Cupples
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- * E-mail: (CSF); (YL)
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3654
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Edwards TL, Shrubsole MJ, Cai Q, Li G, Dai Q, Rex DK, Ulbright TM, Fu Z, Murff HJ, Smalley W, Ness R, Zheng W. A study of prostaglandin pathway genes and interactions with current nonsteroidal anti-inflammatory drug use in colorectal adenoma. Cancer Prev Res (Phila) 2012; 5:855-63. [PMID: 22551900 DOI: 10.1158/1940-6207.capr-11-0459] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Colorectal cancer (CRC) is the second leading cause of cancer-related death and usually arises from colorectal polyps. Screening and removal of polyps reduce mortality from CRC. Colorectal polyps are known to aggregate in families; however the genetic determinants for risk of polyps are unknown. In addition, it has been shown that nonsteroidal anti-inflammatory drug (NSAID) use decreases the risk of CRC and the incidence and size of polyps. In this study, we used data from the Tennessee Colorectal Polyp Study and the Tennessee-Indiana Adenoma Recurrence Study to evaluate selected genes from the prostaglandin (PG) metabolism and signaling pathways for association with risk of polyps and for interactions with NSAIDs. Our design consisted of discovery and replication phases for a total of 2,551 Caucasian polyp cases and 3,285 Caucasian controls. We carried out multivariable logistic regression to test for association in both the discovery and replication phase and further examined the results with meta-analysis. We detected association signals in the genes PGE receptor 3 (PTGER3) and 15-hydroxyprostaglandin dehydrogenase (HPGD), both strong biologic candidates for influence on polyp risk. We did not observe the previously reported effects and effect modification in PG-endoperoxide synthase 2 (PTGS2), PGE receptor 2 (PTGER2), or PGE receptor 4 (PTGER4), although we did observe a single nucleotide polymorphism in PTGER2 associated with risk of multiple adenomas. We also observed effect modification of the HPGD signal by NSAID exposure.
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Affiliation(s)
- Todd L Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, TN, USA.
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3655
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Ayele FT, Doumatey A, Huang H, Zhou J, Charles B, Erdos M, Adeleye J, Balogun W, Fasanmade O, Johnson T, Oli J, Okafor G, Amoah A, Eghan BA, Agyenim-Boateng K, Acheampong J, Adebamowo CA, Herbert A, Gerry N, Christman M, Chen G, Shriner D, Adeyemo A, Rotimi CN. Genome-wide associated loci influencing interleukin (IL)-10, IL-1Ra, and IL-6 levels in African Americans. Immunogenetics 2012; 64:351-9. [PMID: 22205395 PMCID: PMC3418332 DOI: 10.1007/s00251-011-0596-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2011] [Accepted: 12/12/2011] [Indexed: 12/26/2022]
Abstract
Interleukins (ILs) are key mediators of the immune response and inflammatory process. Plasma levels of IL-10, IL-1Ra, and IL-6 are associated with metabolic conditions, show large inter-individual variations, and are under strong genetic control. Therefore, elucidation of the genetic variants that influence levels of these ILs provides useful insights into mechanisms of immune response and pathogenesis of diseases. We conducted a genome-wide association study (GWAS) of IL-10, IL-1Ra, and IL-6 levels in 707 non-diabetic African Americans using 5,396,780 imputed and directly genotyped single nucleotide polymorphisms (SNPs) with adjustment for gender, age, and body mass index. IL-10 levels showed genome-wide significant associations (p < 5 × 10(-8)) with eight SNPs, the most significant of which was rs5743185 in the PMS1 gene (p = 2.30 × 10(-10)). We tested replication of SNPs that showed genome-wide significance in 425 non-diabetic individuals from West Africa, and successfully replicated rs17365948 in the YWHAZ gene (p = 0.02). IL-1Ra levels showed suggestive associations with two SNPs in the ASB3 gene (p = 2.55 × 10(-7)), ten SNPs in the IL-1 gene family (IL1F5, IL1F8, IL1F10, and IL1Ra, p = 1.04 × 10(-6) to 1.75 × 10(-6)), and 23 SNPs near the IL1A gene (p = 1.22 × 10(-6) to 1.63 × 10(-6)). We also successfully replicated rs4251961 (p = 0.009); this SNP was reported to be associated with IL-1Ra levels in a candidate gene study of Europeans. IL-6 levels showed genome-wide significant association with one SNP (RP11-314E23.1; chr6:133397598; p = 8.63 × 10(-9)). To our knowledge, this is the first GWAS on IL-10, IL-1Ra, and IL-6 levels. Follow-up of these findings may provide valuable insight into the pathobiology of IL actions and dysregulations in inflammation and human diseases.
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Affiliation(s)
- Fasil Tekola Ayele
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ayo Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hanxia Huang
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bashira Charles
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mike Erdos
- Genome Technology Branch, Molecular Genetics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | | | | | - Johnnie Oli
- University of Nigeria Teaching Hospital, Enugu, Nigeria
| | | | - Albert Amoah
- University of Ghana Medical School, Department of Medicine, Accra, Ghana
| | - Benjamin A. Eghan
- University of Science and Technology, Department of Medicine, Kumasi, Ghana
| | | | - Joseph Acheampong
- University of Science and Technology, Department of Medicine, Kumasi, Ghana
| | - Clement A. Adebamowo
- Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Alan Herbert
- Department of Genetics and Genomics, Boston University, Boston, MA, USA
| | - Norman Gerry
- Coriell Institute for Medical Research, Camden, NJ, USA
| | | | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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3656
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Begum F, Ghosh D, Tseng GC, Feingold E. Comprehensive literature review and statistical considerations for GWAS meta-analysis. Nucleic Acids Res 2012; 40:3777-84. [PMID: 22241776 PMCID: PMC3351172 DOI: 10.1093/nar/gkr1255] [Citation(s) in RCA: 121] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2011] [Revised: 12/01/2011] [Accepted: 12/02/2011] [Indexed: 01/06/2023] Open
Abstract
Over the last decade, genome-wide association studies (GWAS) have become the standard tool for gene discovery in human disease research. While debate continues about how to get the most out of these studies and on occasion about how much value these studies really provide, it is clear that many of the strongest results have come from large-scale mega-consortia and/or meta-analyses that combine data from up to dozens of studies and tens of thousands of subjects. While such analyses are becoming more and more common, statistical methods have lagged somewhat behind. There are good meta-analysis methods available, but even when they are carefully and optimally applied there remain some unresolved statistical issues. This article systematically reviews the GWAS meta-analysis literature, highlighting methodology and software options and reviewing methods that have been used in real studies. We illustrate differences among methods using a case study. We also discuss some of the unresolved issues and potential future directions.
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Affiliation(s)
- Ferdouse Begum
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, Department of Statistics, Pennsylvania State University, University Park, PA 16802, and Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Debashis Ghosh
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, Department of Statistics, Pennsylvania State University, University Park, PA 16802, and Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - George C. Tseng
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, Department of Statistics, Pennsylvania State University, University Park, PA 16802, and Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Eleanor Feingold
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, Department of Statistics, Pennsylvania State University, University Park, PA 16802, and Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15261, USA
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3657
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Underwood PC, Chamarthi B, Williams JS, Sun B, Vaidya A, Raby BA, Lasky-Su J, Hopkins PN, Adler GK, Williams GH. Replication and meta-analysis of the gene-environment interaction between body mass index and the interleukin-6 promoter polymorphism with higher insulin resistance. Metabolism 2012; 61:667-71. [PMID: 22075267 PMCID: PMC3461261 DOI: 10.1016/j.metabol.2011.09.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2011] [Revised: 09/26/2011] [Accepted: 09/28/2011] [Indexed: 12/20/2022]
Abstract
Insulin resistance (IR) is a complex disorder caused by an interplay of both genetic and environmental factors. Recent studies identified a significant interaction between body mass index (BMI) and the rs1800795 polymorphism of the interleukin-6 gene that influences both IR and onset of type 2 diabetes mellitus, with obese individuals homozygous for the C allele demonstrating the highest level of IR and greatest risk for type 2 diabetes mellitus. Replication of a gene-environment interaction is important to confirm the validity of the initial finding and extend the generalizability of the results to other populations. Thus, the objective of this study was to replicate this gene-environment interaction on IR in a hypertensive population and perform a meta-analysis with prior published results. The replication analysis was performed using white individuals with hypertension from the Hypertensive Pathotype cohort (N = 311), genotyped for rs1800795. Phenotype studies were conducted after participants consumed 2 diets--high sodium (200 mmol/d) and low sodium (10 mmol/d)--for 7 days each. Measurements for plasma glucose, insulin, and interleukin-6 were obtained after 8 hours of fasting. Insulin resistance was characterized by the homeostatic model assessment (HOMA-IR). In Hypertensive Pathotype, BMI was a significant effect modifier of the relationship between rs1800795 and HOMA-IR; higher BMI was associated with higher HOMA-IR among homozygote CC individuals when compared with major allele G carriers (P = .003). Furthermore, the meta-analysis in 1028 individuals confirmed the result, demonstrating the same significant interaction between rs1800795 and BMI on HOMA-IR (P = 1.05 × 10(-6)). This rare replication of a gene-environment interaction extends the generalizability of the results to hypertension while highlighting this polymorphism as a marker of IR in obese individuals.
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Affiliation(s)
- Patricia C Underwood
- Division of Endocrinology, Diabetes, and HTN, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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3658
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Wiggs JL, Yaspan BL, Hauser MA, Kang JH, Allingham RR, Olson LM, Abdrabou W, Fan BJ, Wang DY, Brodeur W, Budenz DL, Caprioli J, Crenshaw A, Crooks K, Delbono E, Doheny KF, Friedman DS, Gaasterland D, Gaasterland T, Laurie C, Lee RK, Lichter PR, Loomis S, Liu Y, Medeiros FA, McCarty C, Mirel D, Moroi SE, Musch DC, Realini A, Rozsa FW, Schuman JS, Scott K, Singh K, Stein JD, Trager EH, Vanveldhuisen P, Vollrath D, Wollstein G, Yoneyama S, Zhang K, Weinreb RN, Ernst J, Kellis M, Masuda T, Zack D, Richards JE, Pericak-Vance M, Pasquale LR, Haines JL. Common variants at 9p21 and 8q22 are associated with increased susceptibility to optic nerve degeneration in glaucoma. PLoS Genet 2012; 8:e1002654. [PMID: 22570617 PMCID: PMC3343074 DOI: 10.1371/journal.pgen.1002654] [Citation(s) in RCA: 235] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2012] [Accepted: 03/01/2012] [Indexed: 01/07/2023] Open
Abstract
Optic nerve degeneration caused by glaucoma is a leading cause of blindness worldwide. Patients affected by the normal-pressure form of glaucoma are more likely to harbor risk alleles for glaucoma-related optic nerve disease. We have performed a meta-analysis of two independent genome-wide association studies for primary open angle glaucoma (POAG) followed by a normal-pressure glaucoma (NPG, defined by intraocular pressure (IOP) less than 22 mmHg) subgroup analysis. The single-nucleotide polymorphisms that showed the most significant associations were tested for association with a second form of glaucoma, exfoliation-syndrome glaucoma. The overall meta-analysis of the GLAUGEN and NEIGHBOR dataset results (3,146 cases and 3,487 controls) identified significant associations between two loci and POAG: the CDKN2BAS region on 9p21 (rs2157719 [G], OR = 0.69 [95%CI 0.63-0.75], p = 1.86×10⁻¹⁸), and the SIX1/SIX6 region on chromosome 14q23 (rs10483727 [A], OR = 1.32 [95%CI 1.21-1.43], p = 3.87×10⁻¹¹). In sub-group analysis two loci were significantly associated with NPG: 9p21 containing the CDKN2BAS gene (rs2157719 [G], OR = 0.58 [95% CI 0.50-0.67], p = 1.17×10⁻¹²) and a probable regulatory region on 8q22 (rs284489 [G], OR = 0.62 [95% CI 0.53-0.72], p = 8.88×10⁻¹⁰). Both NPG loci were also nominally associated with a second type of glaucoma, exfoliation syndrome glaucoma (rs2157719 [G], OR = 0.59 [95% CI 0.41-0.87], p = 0.004 and rs284489 [G], OR = 0.76 [95% CI 0.54-1.06], p = 0.021), suggesting that these loci might contribute more generally to optic nerve degeneration in glaucoma. Because both loci influence transforming growth factor beta (TGF-beta) signaling, we performed a genomic pathway analysis that showed an association between the TGF-beta pathway and NPG (permuted p = 0.009). These results suggest that neuro-protective therapies targeting TGF-beta signaling could be effective for multiple forms of glaucoma.
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Affiliation(s)
- Janey L Wiggs
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, United States of America.
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3659
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Buyske S, Wu Y, Carty CL, Cheng I, Assimes TL, Dumitrescu L, Hindorff LA, Mitchell S, Ambite JL, Boerwinkle E, Buzkova P, Carlson CS, Cochran B, Duggan D, Eaton CB, Fesinmeyer MD, Franceschini N, Haessler J, Jenny N, Kang HM, Kooperberg C, Lin Y, Le Marchand L, Matise TC, Robinson JG, Rodriguez C, Schumacher FR, Voight BF, Young A, Manolio TA, Mohlke KL, Haiman CA, Peters U, Crawford DC, North KE. Evaluation of the metabochip genotyping array in African Americans and implications for fine mapping of GWAS-identified loci: the PAGE study. PLoS One 2012; 7:e35651. [PMID: 22539988 PMCID: PMC3335090 DOI: 10.1371/journal.pone.0035651] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2012] [Accepted: 03/19/2012] [Indexed: 12/24/2022] Open
Abstract
The Metabochip is a custom genotyping array designed for replication and fine mapping of metabolic, cardiovascular, and anthropometric trait loci and includes low frequency variation content identified from the 1000 Genomes Project. It has 196,725 SNPs concentrated in 257 genomic regions. We evaluated the Metabochip in 5,863 African Americans; 89% of all SNPs passed rigorous quality control with a call rate of 99.9%. Two examples illustrate the value of fine mapping with the Metabochip in African-ancestry populations. At CELSR2/PSRC1/SORT1, we found the strongest associated SNP for LDL-C to be rs12740374 (p = 3.5 × 10(-11)), a SNP indistinguishable from multiple SNPs in European ancestry samples due to high correlation. Its distinct signal supports functional studies elsewhere suggesting a causal role in LDL-C. At CETP we found rs17231520, with risk allele frequency 0.07 in African Americans, to be associated with HDL-C (p = 7.2 × 10(-36)). This variant is very rare in Europeans and not tagged in common GWAS arrays, but was identified as associated with HDL-C in African Americans in a single-gene study. Our results, one narrowing the risk interval and the other revealing an associated variant not found in Europeans, demonstrate the advantages of high-density genotyping of common and rare variation for fine mapping of trait loci in African American samples.
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Affiliation(s)
- Steven Buyske
- Department of Statistics and Biostatistics, Rutgers University, Piscataway, New Jersey, United States of America
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Ying Wu
- Department of Genetics, University of North Carolina, 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
| | - Iona Cheng
- University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Themistocles L. Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America
| | - Logan Dumitrescu
- Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Lucia A. Hindorff
- Office of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Sabrina Mitchell
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Jose Luis Ambite
- Information Sciences Institute, University of Southern California, Los Angeles, California, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Petra Buzkova
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Chris S. Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Barbara Cochran
- Sponsored Programs, Baylor College of Medicine, Houston, Texas, United States of America
| | - David Duggan
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Charles B. Eaton
- Center for Primary Care and Prevention, Department of Family Medicine and Epidemiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Megan D. Fesinmeyer
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Nancy Jenny
- Department of Pathology, University of Vermont, Burlington, Vermont, United States of America
| | - Hyun Min Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, 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
- 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
| | - Jennifer G. Robinson
- Department of Epidemiology and Medicine, University of Iowa, Iowa City, Iowa, United States of America
| | - Carlos Rodriguez
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Fredrick R. Schumacher
- Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Benjamin F. Voight
- Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
| | - Alicia Young
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Teri A. Manolio
- Office of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Karen L. Mohlke
- Department of Genetics, 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
| | - Christopher A. Haiman
- Keck School of Medicine, University of Southern California, 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
| | - Dana C. Crawford
- Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, 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
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3660
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Martin LJ, Gupta J, Jyothula SSSK, Butsch Kovacic M, Biagini Myers JM, Patterson TL, Ericksen MB, He H, Gibson AM, Baye TM, Amirisetty S, Tsoras AM, Sha Y, Eissa NT, Hershey GKK. Functional variant in the autophagy-related 5 gene promotor is associated with childhood asthma. PLoS One 2012; 7:e33454. [PMID: 22536318 PMCID: PMC3335039 DOI: 10.1371/journal.pone.0033454] [Citation(s) in RCA: 129] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2011] [Accepted: 02/15/2012] [Indexed: 11/20/2022] Open
Abstract
RATIONALE AND OBJECTIVE Autophagy is a cellular process directed at eliminating or recycling cellular proteins. Recently, the autophagy pathway has been implicated in immune dysfunction, the pathogenesis of inflammatory disorders, and response to viral infection. Associations between two genes in the autophagy pathway, ATG5 and ATG7, with childhood asthma were investigated. METHODS Using genetic and experimental approaches, we examined the association of 13 HapMap-derived tagging SNPs in ATG5 and ATG7 with childhood asthma in 312 asthmatic and 246 non-allergic control children. We confirmed our findings by using independent cohorts and imputation analysis. Finally, we evaluated the functional relevance of a disease associated SNP. MEASUREMENTS AND MAIN RESULTS We demonstrated that ATG5 single nucleotide polymorphisms rs12201458 and rs510432 were associated with asthma (p = 0.00085 and 0.0025, respectively). In three independent cohorts, additional variants in ATG5 in the same LD block were associated with asthma (p<0.05). We found that rs510432 was functionally relevant and conferred significantly increased promotor activity. Furthermore, Atg5 expression was increased in nasal epithelium of acute asthmatics compared to stable asthmatics and non-asthmatic controls. CONCLUSION Genetic variants in ATG5, including a functional promotor variant, are associated with childhood asthma. These results provide novel evidence for a role for ATG5 in childhood asthma.
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MESH Headings
- Adolescent
- Asthma/genetics
- Asthma/metabolism
- Asthma/pathology
- Autophagy-Related Protein 5
- Autophagy-Related Protein 7
- Case-Control Studies
- Child
- Child, Preschool
- Female
- Gene Frequency
- Genes, Reporter
- Genetic Association Studies
- HEK293 Cells
- Haplotypes
- Humans
- Linkage Disequilibrium
- Luciferases, Firefly/biosynthesis
- Luciferases, Firefly/genetics
- Luciferases, Renilla/biosynthesis
- Luciferases, Renilla/genetics
- Male
- Microtubule-Associated Proteins/genetics
- Microtubule-Associated Proteins/metabolism
- Nasal Mucosa/metabolism
- Polymorphism, Single Nucleotide
- Promoter Regions, Genetic
- Sequence Analysis, DNA
- Transcription, Genetic
- Ubiquitin-Activating Enzymes/genetics
- Ubiquitin-Activating Enzymes/metabolism
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Affiliation(s)
- Lisa J. Martin
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Jayanta Gupta
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Soma S. S. K. Jyothula
- Department of Medicine, Baylor College of Medicine, Houston, Texas, United States of America
| | - Melinda Butsch Kovacic
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Jocelyn M. Biagini Myers
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Tia L. Patterson
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Mark B. Ericksen
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Hua He
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Aaron M. Gibson
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Tesfaye M. Baye
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Sushil Amirisetty
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Anna M. Tsoras
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Youbao Sha
- Department of Medicine, Baylor College of Medicine, Houston, Texas, United States of America
| | - N. Tony Eissa
- Department of Medicine, Baylor College of Medicine, Houston, Texas, United States of America
| | - Gurjit K. Khurana Hershey
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
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3661
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Evidence of differential allelic effects between adolescents and adults for plasma high-density lipoprotein. PLoS One 2012; 7:e35605. [PMID: 22530058 PMCID: PMC3329456 DOI: 10.1371/journal.pone.0035605] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2011] [Accepted: 03/22/2012] [Indexed: 01/22/2023] Open
Abstract
A recent meta-analysis of genome-wide association (GWA) studies identified 95 loci that influence lipid traits in the adult population and found that collectively these explained about 25–30% of heritability for each trait. Little is known about how these loci affect lipid levels in early life, but there is evidence that genetic effects on HDL- and LDL-cholesterol (HDL-C, LDL-C) and triglycerides vary with age. We studied Australian adults (N = 10,151) and adolescents (N = 2,363) who participated in twin and family studies and for whom we have lipid phenotypes and genotype information for 91 of the 95 genetic variants. Heterogeneity tests between effect sizes in adult and adolescent cohorts showed an excess of heterogeneity for HDL-C (pHet<0.05 at 5 out of 37 loci), but no more than expected by chance for LDL-C (1 out of 14 loci), or trigycerides (0 out 24). There were 2 (out of 5) with opposite direction of effect in adolescents compared to adults for HDL-C, but none for LDL-C. The biggest difference in effect size was for LDL-C at rs6511720 near LDLR, adolescents (0.021±0.033 mmol/L) and adults (0.157±0.023 mmol/L), pHet = 0.013; followed by ZNF664 (pHet = 0.018) and PABPC4 (pHet = 0.034) for HDL-C. Our findings suggest that some of the previously identified variants associate differently with lipid traits in adolescents compared to adults, either because of developmental changes or because of greater interactions with environmental differences in adults.
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3662
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Ferguson JF, Hinkle CC, Mehta NN, Bagheri R, Derohannessian SL, Shah R, Mucksavage MI, Bradfield JP, Hakonarson H, Wang X, Master SR, Rader DJ, Li M, Reilly MP. Translational studies of lipoprotein-associated phospholipase A₂ in inflammation and atherosclerosis. J Am Coll Cardiol 2012; 59:764-72. [PMID: 22340269 DOI: 10.1016/j.jacc.2011.11.019] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2011] [Revised: 10/31/2011] [Accepted: 11/16/2011] [Indexed: 01/14/2023]
Abstract
OBJECTIVES This study sought to examine the role of lipoprotein-associated phospholipase A₂ (Lp-PLA₂/PLA2G7) in human inflammation and coronary atherosclerosis. BACKGROUND Lp-PLA₂ has emerged as a potential therapeutic target in coronary heart disease. Data supporting Lp-PLA₂ are indirect and confounded by species differences; whether Lp-PLA₂ is causal in coronary heart disease remains in question. METHODS We examined inflammatory regulation of Lp-PLA₂ during experimental endotoxemia in humans, probed the source of Lp-PLA₂ in human leukocytes under inflammatory conditions, and assessed the relationship of variation in PLA2G7, the gene encoding Lp-PLA₂, with coronary artery calcification. RESULTS In contrast to circulating tumor necrosis factor-alpha and C-reactive protein, blood and monocyte Lp-PLA₂ messenger ribonucleic acid decreased transiently, and plasma Lp-PLA₂ mass declined modestly during endotoxemia. In vitro, Lp-PLA₂ expression increased dramatically during human monocyte to macrophage differentiation and further in inflammatory macrophages and foamlike cells. Despite only a marginal association of single nucleotide polymorphisms in PLA2G7 with Lp-PLA₂ activity or mass, numerous PLA2G7 single nucleotide polymorphisms were associated with coronary artery calcification. In contrast, several single nucleotide polymorphisms in CRP were significantly associated with plasma C-reactive protein levels but had no relation with coronary artery calcification. CONCLUSIONS Circulating Lp-PLA₂ did not increase during acute phase response in humans, whereas inflammatory macrophages and foam cells, but not circulating monocytes, are major leukocyte sources of Lp-PLA₂. Common genetic variation in PLA2G7 is associated with subclinical coronary atherosclerosis. These data link Lp-PLA₂ to atherosclerosis in humans while highlighting the challenge in using circulating Lp-PLA₂ as a biomarker of Lp-PLA₂ actions in the vasculature.
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Affiliation(s)
- Jane F Ferguson
- Cardiovascular Institute, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6160, USA.
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3663
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Rasmussen-Torvik LJ, Guo X, Bowden DW, Bertoni AG, Sale MM, Yao J, Bluemke DA, Goodarzi MO, Chen YI, Vaidya D, Raffel LJ, Papanicolaou GJ, Meigs JB, Pankow JS. Fasting glucose GWAS candidate region analysis across ethnic groups in the Multiethnic Study of Atherosclerosis (MESA). Genet Epidemiol 2012; 36:384-91. [PMID: 22508271 DOI: 10.1002/gepi.21632] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2011] [Revised: 01/27/2012] [Accepted: 02/09/2012] [Indexed: 01/21/2023]
Abstract
Genetic variants associated with fasting glucose in European ancestry populations are increasingly well understood. However, the nature of the associations between these single nucleotide polymorphisms (SNPs) and fasting glucose in other racial and ethnic groups is unclear. We sought to examine regions previously identified to be associated with fasting glucose in Caucasian genome-wide association studies (GWAS) across multiple ethnicities in the Multiethnic Study of Atherosclerosis (MESA). Nondiabetic MESA participants with fasting glucose measured at the baseline exam and with GWAS genotyping were included; 2,349 Caucasians, 664 individuals of Chinese descent, 1,366 African Americans, and 1,171 Hispanics. Genotype data were generated from the Affymetrix 6.0 array and imputation in IMPUTE. Fasting glucose was regressed on SNP dosage data in each ethnic group adjusting for age, gender, MESA study center, and ethnic-specific principal components. SNPs from the three gene regions with the strongest associations to fasting glucose in previous Caucasian GWAS (MTNR1B / GCK / G6PC2) were examined in depth. There was limited power to replicate associations in other ethnic groups due to smaller allele frequencies and limited sample size; SNP associations may also have differed across ethnic groups due to differing linkage disequilibrium patterns with causal variants. rs10830963 in MTNR1B and rs4607517 in GCK demonstrated consistent magnitude and direction of association with fasting glucose across ethnic groups, although the associations were often not nominally significant. In conclusion, certain SNPs in MTNR1B and GCK demonstrate consistent effects across four racial and ethnic groups, narrowing the putative region for these causal variants.
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Affiliation(s)
- Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA.
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3664
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Stein JL, Medland SE, Vasquez AA, Hibar DP, Senstad RE, Winkler AM, Toro R, Appel K, Bartecek R, Bergmann Ø, Bernard M, Brown AA, Cannon DM, Chakravarty MM, Christoforou A, Domin M, Grimm O, Hollinshead M, Holmes AJ, Homuth G, Hottenga JJ, Langan C, Lopez LM, Hansell NK, Hwang KS, Kim S, Laje G, Lee PH, Liu X, Loth E, Lourdusamy A, Mattingsdal M, Mohnke S, Maniega SM, Nho K, Nugent AC, O'Brien C, Papmeyer M, Pütz B, Ramasamy A, Rasmussen J, Rijpkema M, Risacher SL, Roddey JC, Rose EJ, Ryten M, Shen L, Sprooten E, Strengman E, Teumer A, Trabzuni D, Turner J, van Eijk K, van Erp TGM, van Tol MJ, Wittfeld K, Wolf C, Woudstra S, Aleman A, Alhusaini S, Almasy L, Binder EB, Brohawn DG, Cantor RM, Carless MA, Corvin A, Czisch M, Curran JE, Davies G, de Almeida MAA, Delanty N, Depondt C, Duggirala R, Dyer TD, Erk S, Fagerness J, Fox PT, Freimer NB, Gill M, Göring HHH, Hagler DJ, Hoehn D, Holsboer F, Hoogman M, Hosten N, Jahanshad N, Johnson MP, Kasperaviciute D, Kent JW, Kochunov P, Lancaster JL, Lawrie SM, Liewald DC, Mandl R, Matarin M, Mattheisen M, Meisenzahl E, Melle I, Moses EK, Mühleisen TW, et alStein JL, Medland SE, Vasquez AA, Hibar DP, Senstad RE, Winkler AM, Toro R, Appel K, Bartecek R, Bergmann Ø, Bernard M, Brown AA, Cannon DM, Chakravarty MM, Christoforou A, Domin M, Grimm O, Hollinshead M, Holmes AJ, Homuth G, Hottenga JJ, Langan C, Lopez LM, Hansell NK, Hwang KS, Kim S, Laje G, Lee PH, Liu X, Loth E, Lourdusamy A, Mattingsdal M, Mohnke S, Maniega SM, Nho K, Nugent AC, O'Brien C, Papmeyer M, Pütz B, Ramasamy A, Rasmussen J, Rijpkema M, Risacher SL, Roddey JC, Rose EJ, Ryten M, Shen L, Sprooten E, Strengman E, Teumer A, Trabzuni D, Turner J, van Eijk K, van Erp TGM, van Tol MJ, Wittfeld K, Wolf C, Woudstra S, Aleman A, Alhusaini S, Almasy L, Binder EB, Brohawn DG, Cantor RM, Carless MA, Corvin A, Czisch M, Curran JE, Davies G, de Almeida MAA, Delanty N, Depondt C, Duggirala R, Dyer TD, Erk S, Fagerness J, Fox PT, Freimer NB, Gill M, Göring HHH, Hagler DJ, Hoehn D, Holsboer F, Hoogman M, Hosten N, Jahanshad N, Johnson MP, Kasperaviciute D, Kent JW, Kochunov P, Lancaster JL, Lawrie SM, Liewald DC, Mandl R, Matarin M, Mattheisen M, Meisenzahl E, Melle I, Moses EK, Mühleisen TW, Nauck M, Nöthen MM, Olvera RL, Pandolfo M, Pike GB, Puls R, Reinvang I, Rentería ME, Rietschel M, Roffman JL, Royle NA, Rujescu D, Savitz J, Schnack HG, Schnell K, Seiferth N, Smith C, Steen VM, Valdés Hernández MC, Van den Heuvel M, van der Wee NJ, Van Haren NEM, Veltman JA, Völzke H, Walker R, Westlye LT, Whelan CD, Agartz I, Boomsma DI, Cavalleri GL, Dale AM, Djurovic S, Drevets WC, Hagoort P, Hall J, Heinz A, Jack CR, Foroud TM, Le Hellard S, Macciardi F, Montgomery GW, Poline JB, Porteous DJ, Sisodiya SM, Starr JM, Sussmann J, Toga AW, Veltman DJ, Walter H, Weiner MW, Bis JC, Ikram MA, Smith AV, Gudnason V, Tzourio C, Vernooij MW, Launer LJ, DeCarli C, Seshadri S, Andreassen OA, Apostolova LG, Bastin ME, Blangero J, Brunner HG, Buckner RL, Cichon S, Coppola G, de Zubicaray GI, Deary IJ, Donohoe G, de Geus EJC, Espeseth T, Fernández G, Glahn DC, Grabe HJ, Hardy J, Hulshoff Pol HE, Jenkinson M, Kahn RS, McDonald C, McIntosh AM, McMahon FJ, McMahon KL, Meyer-Lindenberg A, Morris DW, Müller-Myhsok B, Nichols TE, Ophoff RA, Paus T, Pausova Z, Penninx BW, Potkin SG, Sämann PG, Saykin AJ, Schumann G, Smoller JW, Wardlaw JM, Weale ME, Martin NG, Franke B, Wright MJ, Thompson PM. Identification of common variants associated with human hippocampal and intracranial volumes. Nat Genet 2012; 44:552-61. [PMID: 22504417 PMCID: PMC3635491 DOI: 10.1038/ng.2250] [Show More Authors] [Citation(s) in RCA: 479] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2011] [Accepted: 03/19/2012] [Indexed: 02/06/2023]
Abstract
Identifying genetic variants influencing human brain structures may reveal new biological mechanisms underlying cognition and neuropsychiatric illness. The volume of the hippocampus is a biomarker of incipient Alzheimer's disease and is reduced in schizophrenia, major depression and mesial temporal lobe epilepsy. Whereas many brain imaging phenotypes are highly heritable, identifying and replicating genetic influences has been difficult, as small effects and the high costs of magnetic resonance imaging (MRI) have led to underpowered studies. Here we report genome-wide association meta-analyses and replication for mean bilateral hippocampal, total brain and intracranial volumes from a large multinational consortium. The intergenic variant rs7294919 was associated with hippocampal volume (12q24.22; N = 21,151; P = 6.70 × 10(-16)) and the expression levels of the positional candidate gene TESC in brain tissue. Additionally, rs10784502, located within HMGA2, was associated with intracranial volume (12q14.3; N = 15,782; P = 1.12 × 10(-12)). We also identified a suggestive association with total brain volume at rs10494373 within DDR2 (1q23.3; N = 6,500; P = 5.81 × 10(-7)).
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Affiliation(s)
- Jason L Stein
- Laboratory of Neuro Imaging, David Geffen School of Medicine, University of California, Los Angeles, California, USA
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3665
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Common variants at 12q14 and 12q24 are associated with hippocampal volume. Nat Genet 2012; 44:545-51. [PMID: 22504421 PMCID: PMC3427729 DOI: 10.1038/ng.2237] [Citation(s) in RCA: 181] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2011] [Accepted: 03/06/2012] [Indexed: 12/24/2022]
Abstract
Aging is associated with reductions in hippocampal volume (HV) that are accelerated by Alzheimer’s disease and vascular risk factors. Our genome-wide association study of dementia-free persons (n=9,232) identified 46 SNPs at four loci with p-values <4.0×10-7. Two additional samples (n=2,318) replicated associations at 12q24 within MSRB3/WIF1 (discovery + replication, rs17178006; p=5.3×10-11) and at 12q14 near HRK/FBXW8 (rs7294919; p=2.9×10-11). Remaining associations included one 2q24 SNP within DPP4 (rs6741949; p=2.9×10-7) and nine 9p33 SNPs within ASTN2 (rs7852872; p=1.0×10-7) that were also associated with HV (p<0.05) in a third younger, more heterogeneous sample (n=7,794). The ASTN2 SNP was also associated with decline in cognition in a largely independent sample (n=1,563). These associations implicate genes related to apoptosis (HRK), development (WIF1), oxidative stress (MSR3B), ubiquitination (FBXW8), enzymes targeted by new diabetes medications (DPP4), and neuronal migration (ASTN2), indicating novel genetic influences that influence hippocampal size and possibly the risk of cognitive decline and dementia.
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3666
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Gögele M, Minelli C, Thakkinstian A, Yurkiewich A, Pattaro C, Pramstaller PP, Little J, Attia J, Thompson JR. Methods for meta-analyses of genome-wide association studies: critical assessment of empirical evidence. Am J Epidemiol 2012; 175:739-49. [PMID: 22427610 DOI: 10.1093/aje/kwr385] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
There has been a steep increase in the number of meta-analyses of genome-wide association (GWA) studies aimed at identifying genetic variants with increasingly smaller effects, but pressure to publish findings of new genetic associations has limited the time available for careful consideration of all of their methodological aspects. The authors surveyed the literature (2007-2010) to provide empirical evidence on the methods used in GWA meta-analyses, including their organization, requirements about the uniformity of methods used in primary studies, methods for data pooling, investigation of between-study heterogeneity, and quality of reporting. This review showed that a great variety of methods are being used, but the rationale for their choice is often unclear. It also highlights how important methodological aspects have received insufficient attention, potentially leading to missed opportunities for improving gene discovery and characterization. Evaluation of power to replicate findings was inadequate, and the number of variants selected for replication was not associated with replication sample size. A low proportion of GWA meta-analyses investigated the presence and magnitude of heterogeneity, even when there was little uniformity in methods used in primary studies. More methodological work is required before clear guidance can be offered as to optimal methods or tradeoffs between alternative methods. However, there is a clear need for guidelines for reporting the results of GWA meta-analyses.
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Affiliation(s)
- Martin Gögele
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano, Italy
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3667
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Manichaikul A, Palmas W, Rodriguez CJ, Peralta CA, Divers J, Guo X, Chen WM, Wong Q, Williams K, Kerr KF, Taylor KD, Tsai MY, Goodarzi MO, Sale MM, Diez-Roux AV, Rich SS, Rotter JI, Mychaleckyj JC. Population structure of Hispanics in the United States: the multi-ethnic study of atherosclerosis. PLoS Genet 2012; 8:e1002640. [PMID: 22511882 PMCID: PMC3325201 DOI: 10.1371/journal.pgen.1002640] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2011] [Accepted: 02/20/2012] [Indexed: 01/06/2023] Open
Abstract
Using ~60,000 SNPs selected for minimal linkage disequilibrium, we perform population structure analysis of 1,374 unrelated Hispanic individuals from the Multi-Ethnic Study of Atherosclerosis (MESA), with self-identification corresponding to Central America (n = 93), Cuba (n = 50), the Dominican Republic (n = 203), Mexico (n = 708), Puerto Rico (n = 192), and South America (n = 111). By projection of principal components (PCs) of ancestry to samples from the HapMap phase III and the Human Genome Diversity Panel (HGDP), we show the first two PCs quantify the Caucasian, African, and Native American origins, while the third and fourth PCs bring out an axis that aligns with known South-to-North geographic location of HGDP Native American samples and further separates MESA Mexican versus Central/South American samples along the same axis. Using k-means clustering computed from the first four PCs, we define four subgroups of the MESA Hispanic cohort that show close agreement with self-identification, labeling the clusters as primarily Dominican/Cuban, Mexican, Central/South American, and Puerto Rican. To demonstrate our recommendations for genetic analysis in the MESA Hispanic cohort, we present pooled and stratified association analysis of triglycerides for selected SNPs in the LPL and TRIB1 gene regions, previously reported in GWAS of triglycerides in Caucasians but as yet unconfirmed in Hispanic populations. We report statistically significant evidence for genetic association in both genes, and we further demonstrate the importance of considering population substructure and genetic heterogeneity in genetic association studies performed in the United States Hispanic population.
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Affiliation(s)
- Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America.
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3668
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Rawal R, Teumer A, Völzke H, Wallaschofski H, Ittermann T, Åsvold BO, Bjøro T, Greiser KH, Tiller D, Werdan K, Meyer zu Schwabedissen HE, Doering A, Illig T, Gieger C, Meisinger C, Homuth G. Meta-analysis of two genome-wide association studies identifies four genetic loci associated with thyroid function. Hum Mol Genet 2012; 21:3275-82. [DOI: 10.1093/hmg/dds136] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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3669
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Lessard C, Adrianto I, Ice J, Wiley G, Kelly J, Glenn S, Adler A, Li H, Rasmussen A, Williams A, Ziegler J, Comeau M, Marion M, Wakeland B, Liang C, Ramos P, Grundahl K, Gallant C, Marta E. Alarcón-Riquelme for the BIOLUPUS and GENLES Networks, Alarcón G, Anaya JM, Bae SC, Boackle S, Brown E, Chang DM, Cho SK, Criswell L, Edberg J, Freedman B, Gilkeson G, Jacob C, James J, Kamen D, Kimberly R, Kim JH, Martin J, Merrill J, Niewold T, Park SY, Petri M, Pons-Estel B, Ramsey-Goldman R, Reveille J, Scofield R, Song Y, Stevens A, Tsao B, Vila L, Vyse T, Yu CY, Guthridge J, Kaufman K, Harley J, Wakeland E, Langefeld C, Gaffney P, Montgomery C, Moser K. Identification of IRF8, TMEM39A, and IKZF3-ZPBP2 as susceptibility loci for systemic lupus erythematosus in a large-scale multiracial replication study. Am J Hum Genet 2012; 90:648-60. [PMID: 22464253 PMCID: PMC3322228 DOI: 10.1016/j.ajhg.2012.02.023] [Citation(s) in RCA: 156] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2011] [Revised: 02/22/2012] [Accepted: 02/22/2012] [Indexed: 01/22/2023] Open
Abstract
Systemic lupus erythematosus (SLE) is a chronic heterogeneous autoimmune disorder characterized by the loss of tolerance to self-antigens and dysregulated interferon responses. The etiology of SLE is complex, involving both heritable and environmental factors. Candidate-gene studies and genome-wide association (GWA) scans have been successful in identifying new loci that contribute to disease susceptibility; however, much of the heritable risk has yet to be identified. In this study, we sought to replicate 1,580 variants showing suggestive association with SLE in a previously published GWA scan of European Americans; we tested a multiethnic population consisting of 7,998 SLE cases and 7,492 controls of European, African American, Asian, Hispanic, Gullah, and Amerindian ancestry to find association with the disease. Several genes relevant to immunological pathways showed association with SLE. Three loci exceeded the genome-wide significance threshold: interferon regulatory factor 8 (IRF8; rs11644034; p(meta-Euro) = 2.08 × 10(-10)), transmembrane protein 39A (TMEM39A; rs1132200; p(meta-all) = 8.62 × 10(-9)), and 17q21 (rs1453560; p(meta-all) = 3.48 × 10(-10)) between IKAROS family of zinc finger 3 (AIOLOS; IKZF3) and zona pellucida binding protein 2 (ZPBP2). Fine mapping, resequencing, imputation, and haplotype analysis of IRF8 indicated that three independent effects tagged by rs8046526, rs450443, and rs4843869, respectively, were required for risk in individuals of European ancestry. Eleven additional replicated effects (5 × 10(-8) < p(meta-Euro) < 9.99 × 10(-5)) were observed with CFHR1, CADM2, LOC730109/IL12A, LPP, LOC63920, SLU7, ADAMTSL1, C10orf64, OR8D4, FAM19A2, and STXBP6. The results of this study increase the number of confirmed SLE risk loci and identify others warranting further investigation.
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Affiliation(s)
- Christopher J. Lessard
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Indra Adrianto
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - John A. Ice
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Graham B. Wiley
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Jennifer A. Kelly
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Stuart B. Glenn
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Adam J. Adler
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - He Li
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Astrid Rasmussen
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Adrienne H. Williams
- Department of Biostatistical Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Julie Ziegler
- Department of Biostatistical Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Mary E. Comeau
- Department of Biostatistical Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Miranda Marion
- Department of Biostatistical Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Benjamin E. Wakeland
- Department of Immunology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Chaoying Liang
- Department of Immunology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Paula S. Ramos
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Kiely M. Grundahl
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Caroline J. Gallant
- Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala 75105, Sweden
| | | | - Graciela S. Alarcón
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Juan-Manuel Anaya
- Center for Autoimmune Diseases Research, Universidad del Rosario, Bogotá, Colombia
| | - Sang-Cheol Bae
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul 133-792, Korea
| | - Susan A. Boackle
- Division of Rheumatology, University of Colorado Denver, Aurora, CO 80045, USA
| | - Elizabeth E. Brown
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | | | - Soo-Kyung Cho
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul 133-792, Korea
| | - Lindsey A. Criswell
- Rosalind Russell Medical Research Center for Arthritis, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jeffrey C. Edberg
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Barry I. Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Gary S. Gilkeson
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Chaim O. Jacob
- Department of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Judith A. James
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Diane L. Kamen
- Division of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Robert P. Kimberly
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Jae-Hoon Kim
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul 133-792, Korea
| | - Javier Martin
- Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Cientificas, Granada 18100, Spain
| | - Joan T. Merrill
- Clinical Pharmacology, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Timothy B. Niewold
- Section of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL 60637, USA
| | - So-Yeon Park
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul 133-792, Korea
| | - Michelle A. Petri
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | | | - Rosalind Ramsey-Goldman
- Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - John D. Reveille
- Rheumatology and Clinical Immunogenetics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - R. Hal Scofield
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
- US Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA
| | - Yeong Wook Song
- Division of Rheumatology, Seoul National University, Seoul 110-799, Korea
| | - Anne M. Stevens
- Division of Rheumatology, Department of Pediatrics, University of Washington, Seattle, WA 98105, USA
- Center for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA 98105, USA
| | - Betty P. Tsao
- Division of Rheumatology, Department of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Luis M. Vila
- Division of Rheumatology, Department of Medicine, University of Puerto Rico Medical Sciences Campus, San Juan 00936-5067, Puerto Rico
| | - Timothy J. Vyse
- Division of Genetics and Molecular Medicine and Division of Immunology, Infection, and Inflammatory Disease, King's College London, London SE1 9RT, UK
| | - Chack-Yung Yu
- Center for Molecular and Human Genetics, The Research Institute, Nationwide Children's Hospital, Columbus, OH 43205, USA
- Department of Pediatrics, Ohio State University, Columbus, OH 43205, USA
| | - Joel M. Guthridge
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Kenneth M. Kaufman
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
- Division of Rheumatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
- US Department of Veterans Affairs Medical Center, Cincinnati, OH 45220, USA
| | - John B. Harley
- Division of Rheumatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
- US Department of Veterans Affairs Medical Center, Cincinnati, OH 45220, USA
| | - Edward K. Wakeland
- Department of Immunology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Carl D. Langefeld
- Department of Biostatistical Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Patrick M. Gaffney
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Courtney G. Montgomery
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Kathy L. Moser
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
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3670
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Hooli BV, Mohapatra G, Mattheisen M, Parrado AR, Roehr JT, Shen Y, Gusella JF, Moir R, Saunders AJ, Lange C, Tanzi RE, Bertram L. Role of common and rare APP DNA sequence variants in Alzheimer disease. Neurology 2012; 78:1250-7. [PMID: 22491860 DOI: 10.1212/wnl.0b013e3182515972] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES More than 30 different rare mutations, including copy number variants (CNVs), in the amyloid precursor protein gene (APP) cause early-onset familial Alzheimer disease (EOFAD), whereas the contribution of common APP variants to disease risk remains controversial. In this study we systematically assessed the role of both rare and common APP DNA variants in Alzheimer disease (AD) families. METHODS Families with EOFAD genetically linked to the APP region were screened for missense mutations and locus duplications of APP. Further, using genome-wide DNA microarray data, we examined the APP locus for CNVs in a total of 797 additional early- and late-onset AD pedigrees. Finally, 423 single nucleotide polymorphisms (SNPs) in the APP locus, including 2 promoter polymorphisms previously associated with AD risk, were tested in up to 4,200 individuals from multiplex AD families. RESULTS Analyses of 8 21q21-linked families revealed one family carrying a nonsynonymous mutation in exon 17 (Val717Leu) and another family with a partially penetrant 3.5-Mb locus duplication encompassing APP. CNV analysis in the APP locus revealed an additional family carrying a fully penetrant 380-kb duplication, merely spanning APP. Last, contrary to previous reports, association analyses of more than 400 different SNPs in or near APP failed to show significant effects on AD risk. CONCLUSION Our study shows that APP mutations and locus duplications are a very rare cause of EOFAD and that the contribution of common APP variants to AD susceptibility is insignificant. Furthermore, duplications of APP may not be fully penetrant, possibly indicating the existence of hitherto unknown protective genetic factors.
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Affiliation(s)
- B V Hooli
- Genetics and Aging Research Unit, Massachusetts General Hospital, Charlestown, MA, USA
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3671
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Abstract
PURPOSE OF REVIEW We review the main findings from genome-wide association studies (GWAS) for levels of HDL-cholesterol, LDL-cholesterol and triglycerides, including approaches to identify the functional variant(s) or gene(s). We discuss study design and challenges related to whole genome or exome sequencing to identify novel genes and variants. RECENT FINDINGS GWAS have detected approximately 100 loci associated with one or more lipid trait. Fine mapping of several loci for LDL-cholesterol demonstrated that the trait variance explained may double when the functional variants responsible for the association signals are identified. Experimental follow-up of three loci identified by GWAS has identified functional genes GALNT2, TRIB1, and SORT1, and a functional variant at SORT1. SUMMARY The goal of genetic studies for lipid levels is to improve treatment and ultimately reduce the prevalence of heart disease. Many signals identified by GWAS have modest effect sizes, useful for identifying novel biologically relevant genes, but less useful for personalized medicine. Whole genome or exome sequencing studies may fill this gap by identifying rare variants of larger effect associated with lipid levels and heart disease.
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Affiliation(s)
- Cristen J Willer
- Division of Cardiovascular Medicine, Departments of Internal Medicine and Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
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3672
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Chen JH, Chen H, Huang S, Lin J, Zheng Y, Xie M, Lin W, Pang CP, Zhang M. Endophenotyping reveals differential phenotype-genotype correlations between myopia-associated polymorphisms and eye biometric parameters. Mol Vis 2012; 18:765-78. [PMID: 22509107 PMCID: PMC3324351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2011] [Accepted: 03/26/2012] [Indexed: 11/08/2022] Open
Abstract
PURPOSE To investigate the association with ocular biometric parameters in myopia-associated single nucleotide polymorphisms (SNPs) of the gap junction protein delta 2 (GJD2), insulin-like growth factor-1 (IGF1) and hepatocyte growth factor (HGF) genes in two geographically different Chinese cohorts. METHODS In 814 unrelated Han Chinese individuals aged above 50 years including 362 inland residents and 432 island dwellers, comprehensive ophthalmic examinations were performed. Three SNPs, including GJD2 rs634990, IGF1 rs6214, and HGF rs3735520, were genotyped. Genetic association with ocular biometric parameters was analyzed in individual cohorts, using linear regression controlled for sex and age. Common associations shared by the two cohorts were revealed by meta-analysis. RESULTS Meta-analysis showed that GJD2 rs634990 alone was not associated with any biometric parameters (adjusted p>0.645). The T allele of IGF1 rs6214 was specifically associated with thicker lens (β±SE=0.055±0.022, adjusted p=0.034). The A allele of HGF rs3735520 was associated with longer vitreous chamber depth (β±SE=0.143±0.060, adjusted p=0.050). Significant interaction between HGF rs3735520 and GJD2 rs634990 was found in association with axial length and vitreous chamber depth (adjusted p=0.003 and 0.033, respectively), and possibly with spherical error (adjusted p=0.056). CONCLUSIONS Our endophenotyping analysis showed differential association between selected myopia-associated genes and ocular biometric parameters in our Chinese cohorts, which may underline substantial but diversified effects of these genes and their interaction on the development of eye structure and etiology of myopia.
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Affiliation(s)
- Jian Huan Chen
- Joint Shantou International Eye Center, Shantou University & the Chinese University of Hong Kong, Shantou, China
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong, China
| | - Haoyu Chen
- Joint Shantou International Eye Center, Shantou University & the Chinese University of Hong Kong, Shantou, China
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong, China
| | - Shulan Huang
- Joint Shantou International Eye Center, Shantou University & the Chinese University of Hong Kong, Shantou, China
| | - Jianwei Lin
- Joint Shantou International Eye Center, Shantou University & the Chinese University of Hong Kong, Shantou, China
| | - Yuqian Zheng
- Joint Shantou International Eye Center, Shantou University & the Chinese University of Hong Kong, Shantou, China
| | | | | | - Chi Pui Pang
- Joint Shantou International Eye Center, Shantou University & the Chinese University of Hong Kong, Shantou, China
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong, China
| | - Mingzhi Zhang
- Joint Shantou International Eye Center, Shantou University & the Chinese University of Hong Kong, Shantou, China
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3673
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Pattaro C, Köttgen A, Teumer A, Garnaas M, Böger CA, Fuchsberger C, Olden M, Chen MH, Tin A, Taliun D, Li M, Gao X, Gorski M, Yang Q, Hundertmark C, Foster MC, O'Seaghdha CM, Glazer N, Isaacs A, Liu CT, Smith AV, O'Connell JR, Struchalin M, Tanaka T, Li G, Johnson AD, Gierman HJ, Feitosa M, Hwang SJ, Atkinson EJ, Lohman K, Cornelis MC, Johansson Å, Tönjes A, Dehghan A, Chouraki V, Holliday EG, Sorice R, Kutalik Z, Lehtimäki T, Esko T, Deshmukh H, Ulivi S, Chu AY, Murgia F, Trompet S, Imboden M, Kollerits B, Pistis G, CARDIoGRAM Consortium, ICBP Consortium, CARe Consortium, Wellcome Trust Case Control Consortium 2 (WTCCC2), Harris TB, Launer LJ, Aspelund T, Eiriksdottir G, Mitchell BD, Boerwinkle E, Schmidt H, Cavalieri M, Rao M, Hu FB, Demirkan A, Oostra BA, de Andrade M, Turner ST, Ding J, Andrews JS, Freedman BI, Koenig W, Illig T, Döring A, Wichmann HE, Kolcic I, Zemunik T, Boban M, Minelli C, Wheeler HE, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Nöthlings U, Jacobs G, Biffar R, Endlich K, Ernst F, Homuth G, Kroemer HK, Nauck M, Stracke S, Völker U, Völzke H, Kovacs P, Stumvoll M, Mägi R, Hofman A, et alPattaro C, Köttgen A, Teumer A, Garnaas M, Böger CA, Fuchsberger C, Olden M, Chen MH, Tin A, Taliun D, Li M, Gao X, Gorski M, Yang Q, Hundertmark C, Foster MC, O'Seaghdha CM, Glazer N, Isaacs A, Liu CT, Smith AV, O'Connell JR, Struchalin M, Tanaka T, Li G, Johnson AD, Gierman HJ, Feitosa M, Hwang SJ, Atkinson EJ, Lohman K, Cornelis MC, Johansson Å, Tönjes A, Dehghan A, Chouraki V, Holliday EG, Sorice R, Kutalik Z, Lehtimäki T, Esko T, Deshmukh H, Ulivi S, Chu AY, Murgia F, Trompet S, Imboden M, Kollerits B, Pistis G, CARDIoGRAM Consortium, ICBP Consortium, CARe Consortium, Wellcome Trust Case Control Consortium 2 (WTCCC2), Harris TB, Launer LJ, Aspelund T, Eiriksdottir G, Mitchell BD, Boerwinkle E, Schmidt H, Cavalieri M, Rao M, Hu FB, Demirkan A, Oostra BA, de Andrade M, Turner ST, Ding J, Andrews JS, Freedman BI, Koenig W, Illig T, Döring A, Wichmann HE, Kolcic I, Zemunik T, Boban M, Minelli C, Wheeler HE, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Nöthlings U, Jacobs G, Biffar R, Endlich K, Ernst F, Homuth G, Kroemer HK, Nauck M, Stracke S, Völker U, Völzke H, Kovacs P, Stumvoll M, Mägi R, Hofman A, Uitterlinden AG, Rivadeneira F, Aulchenko YS, Polasek O, Hastie N, Vitart V, Helmer C, Wang JJ, Ruggiero D, Bergmann S, Kähönen M, Viikari J, Nikopensius T, Province M, Ketkar S, Colhoun H, Doney A, Robino A, Giulianini F, Krämer BK, Portas L, Ford I, Buckley BM, Adam M, Thun GA, Paulweber B, Haun M, Sala C, Metzger M, Mitchell P, Ciullo M, Kim SK, Vollenweider P, Raitakari O, Metspalu A, Palmer C, Gasparini P, Pirastu M, Jukema JW, Probst-Hensch NM, Kronenberg F, Toniolo D, Gudnason V, Shuldiner AR, Coresh J, Schmidt R, Ferrucci L, Siscovick DS, van Duijn CM, Borecki I, Kardia SLR, Liu Y, Curhan GC, Rudan I, Gyllensten U, Wilson JF, Franke A, Pramstaller PP, Rettig R, Prokopenko I, Witteman JCM, Hayward C, Ridker P, Parsa A, Bochud M, Heid IM, Goessling W, Chasman DI, Kao WHL, Fox CS. Genome-wide association and functional follow-up reveals new loci for kidney function. PLoS Genet 2012; 8:e1002584. [PMID: 22479191 PMCID: PMC3315455 DOI: 10.1371/journal.pgen.1002584] [Show More Authors] [Citation(s) in RCA: 160] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2011] [Accepted: 01/22/2012] [Indexed: 01/06/2023] Open
Abstract
Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.
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Affiliation(s)
- Cristian Pattaro
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Renal Division, Freiburg University Clinic, Freiburg, Germany
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Maija Garnaas
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Carsten A. Böger
- Department of Internal Medicine II, University Medical Center Regensburg, Regensburg, Germany
| | - Christian Fuchsberger
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Matthias Olden
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
- Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
| | - Ming-Huei Chen
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Daniel Taliun
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Xiaoyi Gao
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Mathias Gorski
- Department of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | | | - Meredith C. Foster
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Conall M. O'Seaghdha
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
- Division of Nephrology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nicole Glazer
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Centre for Medical Systems Biology, Leiden, The Netherlands
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Albert V. Smith
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Jeffrey R. O'Connell
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Maksim Struchalin
- Department of Epidemiology and Biostatistics and Department of Forensic Molecular Biology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute of Aging, Baltimore, Maryland, United States of America
| | - Guo Li
- University of Washington, Seattle, Washington, United States of America
| | - Andrew D. Johnson
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Hinco J. Gierman
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
| | - Mary Feitosa
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Elizabeth J. Atkinson
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Kurt Lohman
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Marilyn C. Cornelis
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Åsa Johansson
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Anke Tönjes
- Department of Medicine, University of Leipzig, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Elizabeth G. Holliday
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
- Centre for Information-based Medicine, Hunter Medical Research Institute, Newcastle, Australia
| | - Rossella Sorice
- Institute of Genetics and Biophysics “Adriano-Buzzati Traverso”–CNR, Napoli, Italy
| | - Zoltan Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, University of Tampere and Tampere University Hospital, Centre for Laboratory Medicine Tampere Finn-Medi 2, Tampere, Finland
| | - Tõnu Esko
- Estonian Genome Center of University of Tartu (EGCUT), Tartu, Estonia
- Estonian Biocenter and Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Harshal Deshmukh
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Sheila Ulivi
- Institute for Maternal and Child Health – IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Audrey Y. Chu
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | | | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Medea Imboden
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | | | | | | | | | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, NIA, Bethesda, Maryland, United States of America
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, NIA, Bethesda, Maryland, United States of America
| | - Thor Aspelund
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | | | - Braxton D. Mitchell
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Helena Schmidt
- Austrian Stroke Prevention Study, Institute of Molecular Biology and Biochemistry and Department of Neurology, Medical University Graz, Graz, Austria
| | - Margherita Cavalieri
- Austrian Stroke Prevention Study, University Clinic of Neurology, Department of Special Neurology, Medical University Graz, Graz, Austria
| | - Madhumathi Rao
- Division of Nephrology/Tufts Evidence Practice Center, Tufts University School of Medicine, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Frank B. Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Ayse Demirkan
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ben A. Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Stephen T. Turner
- Department of Internal Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Jingzhong Ding
- Department of Internal Medicine/Geriatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Jeanette S. Andrews
- Department of Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Barry I. Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | | | - Thomas Illig
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Angela Döring
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - H.-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Grosshadern, Neuherberg, Germany
| | - Ivana Kolcic
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Tatijana Zemunik
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Mladen Boban
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Cosetta Minelli
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Heather E. Wheeler
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Department of Medicine, University of Chicago, Chicago, Illinois, United States of America
| | - Wilmar Igl
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Ghazal Zaboli
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Sarah H. Wild
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Alan F. Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Harry Campbell
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Ute Nöthlings
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
- popgen Biobank, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Gunnar Jacobs
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
- popgen Biobank, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Reiner Biffar
- Clinic for Prosthodontic Dentistry, Gerostomatology, and Material Science, University of Greifswald, Greifswald, Germany
| | - Karlhans Endlich
- Institute of Anatomy and Cell Biology, University of Greifswald, Greifswald, Germany
| | - Florian Ernst
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Heyo K. Kroemer
- Institute of Pharmacology, University of Greifswald, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Sylvia Stracke
- Clinic for Internal Medicine A, University of Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Peter Kovacs
- Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Reedik Mägi
- Estonian Genome Center of University of Tartu (EGCUT), Tartu, Estonia
- Wellcome Trust Centre for Human Genetics and Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, United Kingdom
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Andre G. Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ozren Polasek
- Croatian Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Nick Hastie
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Catherine Helmer
- INSERM U897, Université Victor Ségalen Bordeaux 2, ISPED, Bordeaux, France
- Université Bordeaux 2 Victor Segalen, Bordeaux, France
| | - Jie Jin Wang
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
- Centre for Eye Research Australia (CERA), University of Melbourne, Melbourne, Australia
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics “Adriano-Buzzati Traverso”–CNR, Napoli, Italy
| | - Sven Bergmann
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Tiit Nikopensius
- Estonian Biocenter and Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Michael Province
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Shamika Ketkar
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Helen Colhoun
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Alex Doney
- NHS Tayside, Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Antonietta Robino
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo,” University of Trieste, Trieste, Italy
| | - Franco Giulianini
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Bernhard K. Krämer
- University Medical Centre Mannheim, 5th Department of Medicine, Mannheim, Germany
| | - Laura Portas
- Institute of Population Genetics – CNR, Sassari, Italy
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - Brendan M. Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Martin Adam
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Gian-Andri Thun
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Marie Metzger
- Inserm UMRS 1018, CESP Team 10, Université Paris Sud, Villejuif, France
| | - Paul Mitchell
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
| | - Marina Ciullo
- Institute of Genetics and Biophysics “Adriano-Buzzati Traverso”–CNR, Napoli, Italy
| | - Stuart K. Kim
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, Department of Clinical Physiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Andres Metspalu
- Estonian Genome Center of University of Tartu (EGCUT), Tartu, Estonia
- Estonian Biocenter and Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Colin Palmer
- Biomedical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | - Paolo Gasparini
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo,” University of Trieste, Trieste, Italy
| | - Mario Pirastu
- Institute of Population Genetics – CNR, Sassari, Italy
| | - J. Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands (ICIN), Utrecht, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
| | - Nicole M. Probst-Hensch
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Vilmundur Gudnason
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Alan R. Shuldiner
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
- Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, Maryland, United States of America
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland, United States of America
| | - Reinhold Schmidt
- Austrian Stroke Prevention Study, University Clinic of Neurology, Department of Special Neurology, Medical University Graz, Graz, Austria
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute of Aging, Baltimore, Maryland, United States of America
| | | | - Cornelia M. van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ingrid Borecki
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Gary C. Curhan
- Brigham and Women's Hospital and Channing Laboratory, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Igor Rudan
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Ulf Gyllensten
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - James F. Wilson
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Peter P. Pramstaller
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Rainer Rettig
- Institute of Physiology, University of Greifswald, Greifswald, Germany
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics and Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, United Kingdom
| | | | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Paul Ridker
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Afshin Parsa
- Division of Nephrology, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Epalinges, Switzerland
| | - Iris M. Heid
- Department of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Wolfram Goessling
- Divisions of Genetics and Gastroenterology, Department of Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, United States of America
| | - Daniel I. Chasman
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - W. H. Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland, United States of America
| | - Caroline S. Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
- Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
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3674
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Carty CL, Buzková P, Fornage M, Franceschini N, Cole S, Heiss G, Hindorff LA, Howard BV, Mann S, Martin LW, Zhang Y, Matise TC, Prentice R, Reiner AP, Kooperberg C. Associations between incident ischemic stroke events and stroke and cardiovascular disease-related genome-wide association studies single nucleotide polymorphisms in the Population Architecture Using Genomics and Epidemiology study. ACTA ACUST UNITED AC 2012; 5:210-6. [PMID: 22403240 DOI: 10.1161/circgenetics.111.962191] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified loci associated with ischemic stroke (IS) and cardiovascular disease (CVD) in European-descent individuals, but their replication in different populations has been largely unexplored. METHODS AND RESULTS Nine single nucleotide polymorphisms (SNPs) selected from GWAS and meta-analyses of stroke, and 86 SNPs previously associated with myocardial infarction and CVD risk factors, including blood lipids (high density lipoprotein [HDL], low density lipoprotein [LDL], and triglycerides), type 2 diabetes, and body mass index (BMI), were investigated for associations with incident IS in European Americans (EA) N=26 276, African-Americans (AA) N=8970, and American Indians (AI) N=3570 from the Population Architecture using Genomics and Epidemiology Study. Ancestry-specific fixed effects meta-analysis with inverse variance weighting was used to combine study-specific log hazard ratios from Cox proportional hazards models. Two of 9 stroke SNPs (rs783396 and rs1804689) were significantly associated with [corrected] IS hazard in AA; none were significant in this large EA cohort. Of 73 CVD risk factor SNPs tested in EA, 2 (HDL and triglycerides SNPs) were associated with IS. In AA, SNPs associated with LDL, HDL, and BMI were significantly associated with IS (3 of 86 SNPs tested). Out of 58 SNPs tested in AI, 1 LDL SNP was significantly associated with IS. CONCLUSIONS Our analyses showing lack of replication in spite of reasonable power for many stroke SNPs and differing results by ancestry highlight the need to follow up on GWAS findings and conduct genetic association studies in diverse populations. We found modest IS associations with BMI and lipids SNPs, though these findings require confirmation.
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Affiliation(s)
- Cara L Carty
- Public Health Sciences, Fred Hutchinson Cancer Research Center. University of Washington, 1100 Fairview Ave N., Seattle, WA 98109, USA.
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3675
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Qayyum R, Snively BM, Ziv E, Nalls MA, Liu Y, Tang W, Yanek LR, Lange L, Evans MK, Ganesh S, Austin MA, Lettre G, Becker DM, Zonderman AB, Singleton AB, Harris TB, Mohler ER, Logsdon BA, Kooperberg C, Folsom AR, Wilson JG, Becker LC, Reiner AP. A meta-analysis and genome-wide association study of platelet count and mean platelet volume in african americans. PLoS Genet 2012; 8:e1002491. [PMID: 22423221 PMCID: PMC3299192 DOI: 10.1371/journal.pgen.1002491] [Citation(s) in RCA: 92] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2011] [Accepted: 12/05/2011] [Indexed: 12/24/2022] Open
Abstract
Several genetic variants associated with platelet count and mean platelet volume (MPV) were recently reported in people of European ancestry. In this meta-analysis of 7 genome-wide association studies (GWAS) enrolling African Americans, our aim was to identify novel genetic variants associated with platelet count and MPV. For all cohorts, GWAS analysis was performed using additive models after adjusting for age, sex, and population stratification. For both platelet phenotypes, meta-analyses were conducted using inverse-variance weighted fixed-effect models. Platelet aggregation assays in whole blood were performed in the participants of the GeneSTAR cohort. Genetic variants in ten independent regions were associated with platelet count (N = 16,388) with p<5×10(-8) of which 5 have not been associated with platelet count in previous GWAS. The novel genetic variants associated with platelet count were in the following regions (the most significant SNP, closest gene, and p-value): 6p22 (rs12526480, LRRC16A, p = 9.1×10(-9)), 7q11 (rs13236689, CD36, p = 2.8×10(-9)), 10q21 (rs7896518, JMJD1C, p = 2.3×10(-12)), 11q13 (rs477895, BAD, p = 4.9×10(-8)), and 20q13 (rs151361, SLMO2, p = 9.4×10(-9)). Three of these loci (10q21, 11q13, and 20q13) were replicated in European Americans (N = 14,909) and one (11q13) in Hispanic Americans (N = 3,462). For MPV (N = 4,531), genetic variants in 3 regions were significant at p<5×10(-8), two of which were also associated with platelet count. Previously reported regions that were also significant in this study were 6p21, 6q23, 7q22, 12q24, and 19p13 for platelet count and 7q22, 17q11, and 19p13 for MPV. The most significant SNP in 1 region was also associated with ADP-induced maximal platelet aggregation in whole blood (12q24). Thus through a meta-analysis of GWAS enrolling African Americans, we have identified 5 novel regions associated with platelet count of which 3 were replicated in other ethnic groups. In addition, we also found one region associated with platelet aggregation that may play a potential role in atherothrombosis.
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Affiliation(s)
- Rehan Qayyum
- GeneSTAR Research Program, Division of General
Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United
States of America
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Wake
Forest School of Medicine, Winston-Salem, North Carolina, United States of
America
| | - Elad Ziv
- Department of Medicine, University of
California San Francisco, San Francisco, California, United States of
America
| | - Michael A. Nalls
- Laboratory of Neurogenetics, National
Institute on Aging, National Institutes of Health, Bethesda, Maryland, United
States of America
| | - Yongmei Liu
- Department of Epidemiology and Prevention,
Division of Public Health Sciences, Wake Forest University School of Medicine,
Winston-Salem, North Carolina, United States of America
| | - Weihong Tang
- Division of Epidemiology and Community Health,
University of Minnesota School of Public Health, Minneapolis, Minnesota, United
States of America
| | - Lisa R. Yanek
- GeneSTAR Research Program, Division of General
Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United
States of America
| | - Leslie Lange
- Department of Genetics, School of Medicine,
The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,
United States of America
| | - Michele K. Evans
- Health Disparities Research Section, Clinical
Research Branch, National Institute on Aging, National Institutes of Health,
Baltimore, Maryland, United States of America
| | - Santhi Ganesh
- Division of Cardiology, University of Michigan
Health System, Ann Arbor, Michigan, United States of America
| | - Melissa A. Austin
- Department of Epidemiology, University of
Washington, Seattle, Washington, United States of America
- Division of Public Health Sciences, Fred
Hutchinson Cancer Research Center, Seattle, Washington, United States of
America
| | | | - Diane M. Becker
- GeneSTAR Research Program, Division of General
Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United
States of America
| | - Alan B. Zonderman
- Laboratory of Personality and Cognition,
National Institute on Aging, National Institutes of Health, Baltimore, Maryland,
United States of America
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, National
Institute on Aging, National Institutes of Health, Bethesda, Maryland, United
States of America
| | - Tamara B. Harris
- Laboratory for Epidemiology, Demography, and
Biometry, National Institute on Aging, National Institutes of Health, Baltimore,
Maryland, United States of America
| | - Emile R. Mohler
- Department of Medicine, University of
Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of
America
| | - Benjamin A. Logsdon
- Program in Biostatistics and Biomathematics,
Division of Public Health Sciences, Fred Hutchinson Cancer Research Center,
Seattle, Washington, United States of America
| | - Charles Kooperberg
- Program in Biostatistics and Biomathematics,
Division of Public Health Sciences, Fred Hutchinson Cancer Research Center,
Seattle, Washington, United States of America
| | - Aaron R. Folsom
- Division of Epidemiology and Community Health,
University of Minnesota School of Public Health, Minneapolis, Minnesota, United
States of America
| | - James G. Wilson
- Department of Medicine, University of
Mississippi Medical Center, Jackson, Mississippi, United States of
America
| | - Lewis C. Becker
- GeneSTAR Research Program, Division of General
Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United
States of America
| | - Alexander P. Reiner
- Department of Epidemiology, University of
Washington, Seattle, Washington, United States of America
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3676
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Kenny EE, Pe'er I, Karban A, Ozelius L, Mitchell AA, Ng SM, Erazo M, Ostrer H, Abraham C, Abreu MT, Atzmon G, Barzilai N, Brant SR, Bressman S, Burns ER, Chowers Y, Clark LN, Darvasi A, Doheny D, Duerr RH, Eliakim R, Giladi N, Gregersen PK, Hakonarson H, Jones MR, Marder K, McGovern DPB, Mulle J, Orr-Urtreger A, Proctor DD, Pulver A, Rotter JI, Silverberg MS, Ullman T, Warren ST, Waterman M, Zhang W, Bergman A, Mayer L, Katz S, Desnick RJ, Cho JH, Peter I. A genome-wide scan of Ashkenazi Jewish Crohn's disease suggests novel susceptibility loci. PLoS Genet 2012; 8:e1002559. [PMID: 22412388 PMCID: PMC3297573 DOI: 10.1371/journal.pgen.1002559] [Citation(s) in RCA: 117] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2011] [Accepted: 01/12/2012] [Indexed: 12/19/2022] Open
Abstract
Crohn's disease (CD) is a complex disorder resulting from the interaction of intestinal microbiota with the host immune system in genetically susceptible individuals. The largest meta-analysis of genome-wide association to date identified 71 CD-susceptibility loci in individuals of European ancestry. An important epidemiological feature of CD is that it is 2-4 times more prevalent among individuals of Ashkenazi Jewish (AJ) descent compared to non-Jewish Europeans (NJ). To explore genetic variation associated with CD in AJs, we conducted a genome-wide association study (GWAS) by combining raw genotype data across 10 AJ cohorts consisting of 907 cases and 2,345 controls in the discovery stage, followed up by a replication study in 971 cases and 2,124 controls. We confirmed genome-wide significant associations of 9 known CD loci in AJs and replicated 3 additional loci with strong signal (p<5×10⁻⁶). Novel signals detected among AJs were mapped to chromosomes 5q21.1 (rs7705924, combined p = 2×10⁻⁸; combined odds ratio OR = 1.48), 2p15 (rs6545946, p = 7×10⁻⁹; OR = 1.16), 8q21.11 (rs12677663, p = 2×10⁻⁸; OR = 1.15), 10q26.3 (rs10734105, p = 3×10⁻⁸; OR = 1.27), and 11q12.1 (rs11229030, p = 8×10⁻⁹; OR = 1.15), implicating biologically plausible candidate genes, including RPL7, CPAMD8, PRG2, and PRG3. In all, the 16 replicated and newly discovered loci, in addition to the three coding NOD2 variants, accounted for 11.2% of the total genetic variance for CD risk in the AJ population. This study demonstrates the complementary value of genetic studies in the Ashkenazim.
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Affiliation(s)
- Eimear E. Kenny
- Department of Computer Sciences, Columbia University, New York, New York, United States of America
| | - Itsik Pe'er
- Department of Computer Sciences, Columbia University, New York, New York, United States of America
| | - Amir Karban
- Department of Gastroenterology, Rambam Health Care Campus, B. Rappaport Institute for Research in the Medical Sciences, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Laurie Ozelius
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Adele A. Mitchell
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Sok Meng Ng
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
| | - Monica Erazo
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Harry Ostrer
- Department of Pathology, Albert Einstein College of Medicine, New York, New York, United States of America
| | - Clara Abraham
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
| | - Maria T. Abreu
- Division of Gastroenterology, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Gil Atzmon
- Genetic Core for Longevity, Institute for Aging Research and the Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Nir Barzilai
- Genetic Core for Longevity, Institute for Aging Research and the Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Steven R. Brant
- Meyerhoff Inflammatory Bowel Disease Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Susan Bressman
- Mirken Department of Neurology, Beth Israel Medical Center, New York, New York, United States of America
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Edward R. Burns
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Yehuda Chowers
- Department of Gastroenterology, Rambam Health Care Campus, B. Rappaport Institute for Research in the Medical Sciences, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Lorraine N. Clark
- Department of Pathology and Cell Biology, Columbia University, New York, New York, United States of America
| | - Ariel Darvasi
- The Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dana Doheny
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Richard H. Duerr
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Rami Eliakim
- Department of Gastroenterology and Hepatology, Sheba Medical Center, Raman Gan, Israel
| | - Nir Giladi
- Department of Neurology, Tel Aviv Sourasky Medical Center, Sackler School of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Peter K. Gregersen
- Robert S. Boas Center for Genomics and Human Genetics, Feinstein Institute for Medical Research, North Shore LIJ Health System, Manhasset, New York, United States of America
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Michelle R. Jones
- Division of Endocrinology, Diabetes, and Metabolism, Graduate Program in Biomedical Sciences and Translational Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Karen Marder
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
| | - Dermot P. B. McGovern
- Department of Translational Medicine, Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Jennifer Mulle
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Avi Orr-Urtreger
- Genetic Institute, Tel Aviv Sourasky Medical Center, Sackler School of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Deborah D. Proctor
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
| | - Ann Pulver
- Epidemiology-Genetics Program in Schizophrenia, Bipolar Disorders, and Related Disorders, Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | | | - Thomas Ullman
- Division of Gastroenterology, Department of Medicine, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Stephen T. Warren
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
- Departments of Biochemistry and Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Matti Waterman
- Department of Gastroenterology, Rambam Health Care Campus, B. Rappaport Institute for Research in the Medical Sciences, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Wei Zhang
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
| | - Aviv Bergman
- Department of Systems and Computational Biology, Albert Einstein College of Medicine, New York, New York, United States of America
| | - Lloyd Mayer
- Division of Gastroenterology, Department of Medicine, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Seymour Katz
- Albert Einstein College of Medicine, North Shore University Hospital-Long Island Jewish Hospital Systems, St. Francis Hospital, Great Neck, New York, United States of America
| | - Robert J. Desnick
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Judy H. Cho
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
- * E-mail: (JH Cho) (JC); (I Peter) (IP)
| | - Inga Peter
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
- * E-mail: (JH Cho) (JC); (I Peter) (IP)
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3677
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Lopez LM, Harris SE, Luciano M, Liewald D, Davies G, Gow AJ, Tenesa A, Payton A, Ke X, Whalley LJ, Fox H, Haggerty P, Ollier W, Pickles A, Porteous DJ, Horan MA, Pendleton N, Starr JM, Deary IJ. Evolutionary conserved longevity genes and human cognitive abilities in elderly cohorts. Eur J Hum Genet 2012; 20:341-7. [PMID: 22045296 PMCID: PMC3283186 DOI: 10.1038/ejhg.2011.201] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2011] [Revised: 07/25/2011] [Accepted: 09/06/2011] [Indexed: 11/08/2022] Open
Abstract
Genetic influences have an important role in the ageing process. The genetic factors that influence success in bodily ageing may also contribute to the successful ageing of cognitive abilities. A comparative genomics approach found longevity genes conserved between yeast Saccharomyces cerevisiae and nematode Caenorhabditis elegans. We hypothesised that these longevity genes influence variance in cognitive ability and age-related cognitive decline in humans. Here, we investigated six of these genes that have human orthologs and show expression in the brain. We tested AFG3L2 (MIM: 604581, AFG3 ATPase family gene 3-like 2 (yeast)), FRAP1 (MIM: 601231, a FK506 binding protein 12-rapamycin associated protein), MAT1A, MAT2A (MIM: 610550 and 601468, methionine adenosyltransferases I alpha and II alpha, respectively), SYNJ1 and SYNJ2 (MIM: 604297 and 609410, synaptojanin-1 and synaptojanin-2, respectively) in approximately 1000 healthy older Scots: the Lothian Birth Cohort 1936 (LBC1936). They were tested on general cognitive ability at age 11 years. At a mean age of 70 years, they re-sat the same general cognitive ability test and underwent an additional battery of diverse cognitive tests. In all, 70 tag and functional SNPs in the six longevity genes were genotyped and tested for association with cognition and cognitive ageing in LBC1936. Suggestive associations were detected between SNPs in SYNJ2, MAT1A, AFG3L2 and SYNJ1 and a general memory factor and general cognitive ability at age 11 and 70 years. Replication studies for cognitive ability associations were performed in 2506 samples from the Cognitive Ageing Genetics in England and Scotland consortium. A meta-analysis replicated the SYNJ2 association with cognitive abilities (lowest P=0.00077). SYNJ2 is a novel gene in which variation is potentially associated with cognitive abilities.
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Affiliation(s)
- Lorna M Lopez
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.
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3678
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Luciano M, Lopez LM, de Moor MHM, Harris SE, Davies G, Nutile T, Krueger RF, Esko T, Schlessinger D, Toshiko T, Derringer JL, Realo A, Hansell NK, Pergadia ML, Pesonen AK, Sanna S, Terracciano A, Madden PAF, Penninx B, Spinhoven P, Hartman CA, Oostra BA, Janssens ACJW, Eriksson JG, Starr JM, Cannas A, Ferrucci L, Metspalu A, Wright MJ, Heath AC, van Duijn CM, Bierut LJ, Raikkonen K, Martin NG, Ciullo M, Rujescu D, Boomsma DI, Deary IJ. Longevity candidate genes and their association with personality traits in the elderly. Am J Med Genet B Neuropsychiatr Genet 2012; 159B:192-200. [PMID: 22213687 PMCID: PMC3583011 DOI: 10.1002/ajmg.b.32013] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2011] [Accepted: 12/05/2011] [Indexed: 11/08/2022]
Abstract
Human longevity and personality traits are both heritable and are consistently linked at the phenotypic level. We test the hypothesis that candidate genes influencing longevity in lower organisms are associated with variance in the five major dimensions of human personality (measured by the NEO-FFI and IPIP inventories) plus related mood states of anxiety and depression. Seventy single nucleotide polymorphisms (SNPs) in six brain expressed, longevity candidate genes (AFG3L2, FRAP1, MAT1A, MAT2A, SYNJ1, and SYNJ2) were typed in over 1,000 70-year old participants from the Lothian Birth Cohort of 1936 (LBC1936). No SNPs were associated with the personality and psychological distress traits at a Bonferroni corrected level of significance (P < 0.0002), but there was an over-representation of nominally significant (P < 0.05) SNPs in the synaptojanin-2 (SYNJ2) gene associated with agreeableness and symptoms of depression. Eight SNPs which showed nominally significant association across personality measurement instruments were tested in an extremely large replication sample of 17,106 participants. SNP rs350292, in SYNJ2, was significant: the minor allele was associated with an average decrease in NEO agreeableness scale scores of 0.25 points, and 0.67 points in the restricted analysis of elderly cohorts (most aged >60 years). Because we selected a specific set of longevity genes based on functional genomics findings, further research on other longevity gene candidates is warranted to discover whether they are relevant candidates for personality and psychological distress traits.
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Affiliation(s)
- Michelle Luciano
- Centre for Cognitive Aging and Cognitive Epidemiology, The University of Edinburgh, UK.
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3679
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Demirkan A, van Duijn CM, Ugocsai P, Isaacs A, Pramstaller PP, Liebisch G, Wilson JF, Johansson Å, Rudan I, Aulchenko YS, Kirichenko AV, Janssens ACJW, Jansen RC, Gnewuch C, Domingues FS, Pattaro C, Wild SH, Jonasson I, Polasek O, Zorkoltseva IV, Hofman A, Karssen LC, Struchalin M, Floyd J, Igl W, Biloglav Z, Broer L, Pfeufer A, Pichler I, Campbell S, Zaboli G, Kolcic I, Rivadeneira F, Huffman J, Hastie ND, Uitterlinden A, Franke L, Franklin CS, Vitart V, DIAGRAM Consortium, Nelson CP, Preuss M, CARDIoGRAM Consortium, Bis JC, O'Donnell CJ, Franceschini N, CHARGE Consortium, Witteman JCM, Axenovich T, Oostra BA, Meitinger T, Hicks AA, Hayward C, Wright AF, Gyllensten U, Campbell H, Schmitz G, on behalf of the EUROSPAN consortium. Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations. PLoS Genet 2012; 8:e1002490. [PMID: 22359512 PMCID: PMC3280968 DOI: 10.1371/journal.pgen.1002490] [Citation(s) in RCA: 161] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2011] [Accepted: 12/05/2011] [Indexed: 11/19/2022] Open
Abstract
Phospho- and sphingolipids are crucial cellular and intracellular compounds. These lipids are required for active transport, a number of enzymatic processes, membrane formation, and cell signalling. Disruption of their metabolism leads to several diseases, with diverse neurological, psychiatric, and metabolic consequences. A large number of phospholipid and sphingolipid species can be detected and measured in human plasma. We conducted a meta-analysis of five European family-based genome-wide association studies (N = 4034) on plasma levels of 24 sphingomyelins (SPM), 9 ceramides (CER), 57 phosphatidylcholines (PC), 20 lysophosphatidylcholines (LPC), 27 phosphatidylethanolamines (PE), and 16 PE-based plasmalogens (PLPE), as well as their proportions in each major class. This effort yielded 25 genome-wide significant loci for phospholipids (smallest P-value = 9.88×10(-204)) and 10 loci for sphingolipids (smallest P-value = 3.10×10(-57)). After a correction for multiple comparisons (P-value<2.2×10(-9)), we observed four novel loci significantly associated with phospholipids (PAQR9, AGPAT1, PKD2L1, PDXDC1) and two with sphingolipids (PLD2 and APOE) explaining up to 3.1% of the variance. Further analysis of the top findings with respect to within class molar proportions uncovered three additional loci for phospholipids (PNLIPRP2, PCDH20, and ABDH3) suggesting their involvement in either fatty acid elongation/saturation processes or fatty acid specific turnover mechanisms. Among those, 14 loci (KCNH7, AGPAT1, PNLIPRP2, SYT9, FADS1-2-3, DLG2, APOA1, ELOVL2, CDK17, LIPC, PDXDC1, PLD2, LASS4, and APOE) mapped into the glycerophospholipid and 12 loci (ILKAP, ITGA9, AGPAT1, FADS1-2-3, APOA1, PCDH20, LIPC, PDXDC1, SGPP1, APOE, LASS4, and PLD2) to the sphingolipid pathways. In large meta-analyses, associations between FADS1-2-3 and carotid intima media thickness, AGPAT1 and type 2 diabetes, and APOA1 and coronary artery disease were observed. In conclusion, our study identified nine novel phospho- and sphingolipid loci, substantially increasing our knowledge of the genetic basis for these traits.
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Affiliation(s)
- Ayşe Demirkan
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Cornelia M. van Duijn
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
- Centre for Medical Sytems Biology, Leiden, The Netherlands
- Netherlands Consortium for Healthy Aging, Netherlands Genomics Initiative, Leiden, The Netherlands
| | - Peter Ugocsai
- Institute for Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
- Centre for Medical Sytems Biology, Leiden, The Netherlands
| | - Peter P. Pramstaller
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy
- Department of Neurology, General Central Hospital, Bolzano, Italy
- Department of Neurology, University of Lubeck, Lubeck, Germany
| | - Gerhard Liebisch
- Institute for Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - James F. Wilson
- Centre for Population Health Sciences, The University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Åsa Johansson
- Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Igor Rudan
- Centre for Population Health Sciences, The University of Edinburgh Medical School, Edinburgh, United Kingdom
- Institute for Clinical Medical Research, University Hospital “Sestre Milosrdnice”, Zagreb, Croatia
- Croatian Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Yurii S. Aulchenko
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Anatoly V. Kirichenko
- Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia
| | | | - Ritsert C. Jansen
- Groningen Bioinformatics Centre, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
| | - Carsten Gnewuch
- Institute for Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | | | - Cristian Pattaro
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy
| | - Sarah H. Wild
- Centre for Population Health Sciences, The University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Inger Jonasson
- Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
- Croatian Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Ozren Polasek
- Croatian Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Irina V. Zorkoltseva
- Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Albert Hofman
- Netherlands Consortium for Healthy Aging, Netherlands Genomics Initiative, Leiden, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lennart C. Karssen
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Maksim Struchalin
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - James Floyd
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | - Wilmar Igl
- Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Zrinka Biloglav
- Andrija Stampar School of Public Health, Faculty of Medicine, University of Zagreb, Zagreb, Croatia
| | - Linda Broer
- Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Arne Pfeufer
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy
| | - Irene Pichler
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy
| | - Susan Campbell
- Centre for Population Health Sciences, The University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Ghazal Zaboli
- Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Ivana Kolcic
- Croatian Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Fernando Rivadeneira
- Netherlands Consortium for Healthy Aging, Netherlands Genomics Initiative, Leiden, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jennifer Huffman
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom
| | - Nicholas D. Hastie
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom
| | - Andre Uitterlinden
- Netherlands Consortium for Healthy Aging, Netherlands Genomics Initiative, Leiden, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lude Franke
- Genetics Department, University Medical Centre Groningen and University of Groningen, Groningen, The Netherlands
| | | | - Veronique Vitart
- Centre for Population Health Sciences, The University of Edinburgh Medical School, Edinburgh, United Kingdom
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom
| | | | - Christopher P. Nelson
- Department of Cardiovascular Science, University of Leicester, Leicester, United Kingdom
| | - Michael Preuss
- Institut fur Medizinische Biometrie und Statistik and Medizinische Klinik II, Universitat zu Lubeck, Lubeck, Germany
| | | | - Joshua C. Bis
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Christopher J. O'Donnell
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | | | - Jacqueline C. M. Witteman
- Netherlands Consortium for Healthy Aging, Netherlands Genomics Initiative, Leiden, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Tatiana Axenovich
- Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Ben A. Oostra
- Centre for Medical Sytems Biology, Leiden, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Thomas Meitinger
- Institut for Human Genetics, Helmholtz-Zentrum München, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, München, Germany
- Munich Heart Alliance, Munich, Germany
| | - Andrew A. Hicks
- Center for Biomedicine, European Academy Bozen/Bolzano (EURAC), Bolzano, Italy
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom
| | - Alan F. Wright
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom
| | - Ulf Gyllensten
- Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Harry Campbell
- Centre for Population Health Sciences, The University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Gerd Schmitz
- Institute for Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
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3680
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Abstract
metaXCMS is a software program for the analysis of liquid chromatography/mass spectrometry-based untargeted metabolomic data. It is designed to identify the differences between metabolic profiles across multiple sample groups (e.g., 'healthy' versus 'active disease' versus 'inactive disease'). Although performing pairwise comparisons alone can provide physiologically relevant data, these experiments often result in hundreds of differences, and comparison with additional biologically meaningful sample groups can allow for substantial data reduction. By performing second-order (meta-) analysis, metaXCMS facilitates the prioritization of interesting metabolite features from large untargeted metabolomic data sets before the rate-limiting step of structural identification. Here we provide a detailed step-by-step protocol for going from raw mass spectrometry data to metaXCMS results, visualized as Venn diagrams and exported Microsoft Excel spreadsheets. There is no upper limit to the number of sample groups or individual samples that can be compared with the software, and data from most commercial mass spectrometers are supported. The speed of the analysis depends on computational resources and data volume, but will generally be less than 1 d for most users. metaXCMS is freely available at http://metlin.scripps.edu/metaxcms/.
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3681
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Cho MH, Castaldi PJ, Wan ES, Siedlinski M, Hersh CP, Demeo DL, Himes BE, Sylvia JS, Klanderman BJ, Ziniti JP, Lange C, Litonjua AA, Sparrow D, Regan EA, Make BJ, Hokanson JE, Murray T, Hetmanski JB, Pillai SG, Kong X, Anderson WH, Tal-Singer R, Lomas DA, Coxson HO, Edwards LD, MacNee W, Vestbo J, Yates JC, Agusti A, Calverley PMA, Celli B, Crim C, Rennard S, Wouters E, Bakke P, Gulsvik A, Crapo JD, Beaty TH, Silverman EK. A genome-wide association study of COPD identifies a susceptibility locus on chromosome 19q13. Hum Mol Genet 2012; 21:947-57. [PMID: 22080838 PMCID: PMC3298111 DOI: 10.1093/hmg/ddr524] [Citation(s) in RCA: 185] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2011] [Revised: 10/26/2011] [Accepted: 11/07/2011] [Indexed: 12/18/2022] Open
Abstract
The genetic risk factors for chronic obstructive pulmonary disease (COPD) are still largely unknown. To date, genome-wide association studies (GWASs) of limited size have identified several novel risk loci for COPD at CHRNA3/CHRNA5/IREB2, HHIP and FAM13A; additional loci may be identified through larger studies. We performed a GWAS using a total of 3499 cases and 1922 control subjects from four cohorts: the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE); the Normative Aging Study (NAS) and National Emphysema Treatment Trial (NETT); Bergen, Norway (GenKOLS); and the COPDGene study. Genotyping was performed on Illumina platforms with additional markers imputed using 1000 Genomes data; results were summarized using fixed-effect meta-analysis. We identified a new genome-wide significant locus on chromosome 19q13 (rs7937, OR = 0.74, P = 2.9 × 10(-9)). Genotyping this single nucleotide polymorphism (SNP) and another nearby SNP in linkage disequilibrium (rs2604894) in 2859 subjects from the family-based International COPD Genetics Network study (ICGN) demonstrated supportive evidence for association for COPD (P = 0.28 and 0.11 for rs7937 and rs2604894), pre-bronchodilator FEV(1) (P = 0.08 and 0.04) and severe (GOLD 3&4) COPD (P = 0.09 and 0.017). This region includes RAB4B, EGLN2, MIA and CYP2A6, and has previously been identified in association with cigarette smoking behavior.
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Affiliation(s)
- Michael H Cho
- Channing Laboratory, Brigham & Women’s Hospital, Boston, MA 02115, USA.
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3682
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Feenstra B, Geller F, Krogh C, Hollegaard MV, Gørtz S, Boyd HA, Murray JC, Hougaard DM, Melbye M. Common variants near MBNL1 and NKX2-5 are associated with infantile hypertrophic pyloric stenosis. Nat Genet 2012; 44:334-7. [PMID: 22306654 DOI: 10.1038/ng.1067] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2011] [Accepted: 12/08/2011] [Indexed: 01/28/2023]
Abstract
Infantile hypertrophic pyloric stenosis (IHPS) is a severe condition characterized by hypertrophy of the pyloric sphincter muscle. We conducted a genome-wide association study (GWAS) on 1,001 surgery-confirmed cases and 2,401 controls from Denmark. The six most strongly associated loci were tested in a replication set of 796 cases and 876 controls. Three SNPs reached genome-wide significance. One of these SNPs, rs11712066 (odds ratio (OR) = 1.61; P = 1.5 × 10(-17)) at 3p25.1, is located 150 kb upstream of MBNL1, which encodes a factor that regulates splicing transitions occurring shortly after birth. The second SNP, rs573872 (OR = 1.41; P = 4.3 × 10(-12)), maps to an intergenic region at 3p25.2 approximately 1.3 Mb downstream of MBNL1. The third SNP, rs29784 (OR = 1.42; P = 1.5 × 10(-15)) at 5q35.2, is 64 kb downstream of NKX2-5, which is involved in development of cardiac muscle tissue and embryonic gut development.
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Affiliation(s)
- Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
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3683
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SNP rs11190870 near LBX1 is associated with adolescent idiopathic scoliosis in southern Chinese. J Hum Genet 2012; 57:244-6. [PMID: 22301463 DOI: 10.1038/jhg.2012.11] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
A study was conducted to validate the most significant single nucleotide polymorphism (SNP) from a genome-wide association study of Japanese adolescent idiopathic scoliosis (AIS) patients in an independent southern Chinese population. In total, 300 AIS patients fulfilled the clinical criteria and 788 controls with MRI scans of the spine were included in the replication study. We employed case-control analysis to study the association of SNP rs11190870 near LBX1 (ladybird homeobox 1) with AIS in a southern Chinese population. The results suggest that SNP rs11190870 is significantly associated with AIS (P=9.1 × 10(-10); odds ratio=1.85; 95% confidence interval=1.52-2.25). The results of this study confirm that SNP rs11190870 is associated with AIS.
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3684
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Logue MW, Schu M, Vardarajan BN, Buros J, Green RC, Go RCP, Griffith P, Obisesan TO, Shatz R, Borenstein A, Cupples LA, Lunetta KL, Fallin MD, Baldwin CT, Farrer LA. A comprehensive genetic association study of Alzheimer disease in African Americans. ACTA ACUST UNITED AC 2012; 68:1569-79. [PMID: 22159054 DOI: 10.1001/archneurol.2011.646] [Citation(s) in RCA: 190] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES To evaluate the association of genetic variation with late-onset Alzheimer disease (AD) in African Americans, including genes implicated in recent genome-wide association studies of whites. DESIGN We analyzed a genome-wide set of 2.5 million imputed markers to evaluate the genetic basis of AD in an African American population. SUBJECTS Five hundred thirteen well-characterized African American AD cases and 496 cognitively normal African American control subjects. SETTING Data were collected from multiple sites as part of the Multi-Institutional Research on Alzheimer Genetic Epidemiology (MIRAGE) Study and the Henry Ford Health System as part of the Genetic and Environmental Risk Factors for Alzheimer Disease Among African Americans (GenerAAtions) Study. RESULTS Several significant single-nucleotide polymorphisms (SNPs) were observed in the region of the apolipoprotein E gene (APOE). After adjusting for the confounding effects of APOE genotype, one of these SNPs, rs6859 in PVRL2, remained significantly associated with AD (P = .0087). Association was also observed with SNPs in CLU, PICALM, BIN1, EPHA1, MS4A, ABCA7, and CD33, although the effect direction for some SNPs and the most significant SNPs differed from findings in data sets consisting of whites. Finally, using the African American genome-wide association study data set as a discovery sample, we obtained suggestive evidence of association with SNPs for several novel candidate genes. CONCLUSIONS Some genes contribute to AD pathogenesis in both white and African American cohorts, although it is unclear whether the causal variants are the same. A larger African American sample will be needed to confirm novel gene associations, which may be population specific.
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Affiliation(s)
- Mark W Logue
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
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3685
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Manichaikul A, Chen WM, Williams K, Wong Q, Sale MM, Pankow JS, Tsai MY, Rotter JI, Rich SS, Mychaleckyj JC. Analysis of family- and population-based samples in cohort genome-wide association studies. Hum Genet 2012; 131:275-87. [PMID: 21805149 PMCID: PMC3369696 DOI: 10.1007/s00439-011-1071-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2011] [Accepted: 07/09/2011] [Indexed: 01/22/2023]
Abstract
Cohort studies typically sample unrelated individuals from a population, although family members of index cases may also be recruited to investigate shared familial risk factors. Recruitment of family members may be incomplete or ancillary to the main cohort, resulting in a mixed sample of independent family units, including unrelated singletons and multiplex families. Multiple methods are available to perform genome-wide association (GWA) analysis of binary or continuous traits in families, but it is unclear whether methods known to perform well on ascertained pedigrees, sibships, or trios are appropriate in analysis of a mixed unrelated cohort and family sample. We present simulation studies based on Multi-Ethnic Study of Atherosclerosis (MESA) pedigree structures to compare the performance of several popular methods of GWA analysis for both quantitative and dichotomous traits in cohort studies. We evaluate approaches suitable for analysis of families, and combined the best performing methods with population-based samples either by meta-analysis, or by pooled analysis of family- and population-based samples (mega-analysis), comparing type 1 error and power. We further assess practical considerations, such as availability of software and ability to incorporate covariates in statistical modeling, and demonstrate our recommended approaches through quantitative and binary trait analysis of HDL cholesterol (HDL-C) in 2,553 MESA family- and population-based African-American samples. Our results suggest linear modeling approaches that accommodate family-induced phenotypic correlation (e.g., variance-component model for quantitative traits or generalized estimating equations for dichotomous traits) perform best in the context of combined family- and population-based cohort GWAS.
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Affiliation(s)
- Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
- Department of Public Health Sciences, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA
| | - Wei-Min Chen
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
- Department of Public Health Sciences, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA
| | - Kayleen Williams
- Collaborative Health Studies Coordinating Center, University of Washington, Seattle, Washington
| | - Quenna Wong
- Collaborative Health Studies Coordinating Center, University of Washington, Seattle, Washington
| | - Michèle M. Sale
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
- Department of Medicine and Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
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3686
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Kwak SH, Kim SH, Cho YM, Go MJ, Cho YS, Choi SH, Moon MK, Jung HS, Shin HD, Kang HM, Cho NH, Lee IK, Kim SY, Han BG, Jang HC, Park KS. A genome-wide association study of gestational diabetes mellitus in Korean women. Diabetes 2012; 61:531-41. [PMID: 22233651 PMCID: PMC3266417 DOI: 10.2337/db11-1034] [Citation(s) in RCA: 202] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Knowledge regarding the genetic risk loci for gestational diabetes mellitus (GDM) is still limited. In this study, we performed a two-stage genome-wide association analysis in Korean women. In the stage 1 genome scan, 468 women with GDM and 1,242 nondiabetic control women were compared using 2.19 million genotyped or imputed markers. We selected 11 loci for further genotyping in stage 2 samples of 931 case and 783 control subjects. The joint effect of stage 1 plus stage 2 studies was analyzed by meta-analysis. We also investigated the effect of known type 2 diabetes variants in GDM. Two loci known to be associated with type 2 diabetes had a genome-wide significant association with GDM in the joint analysis. rs7754840, a variant in CDKAL1, had the strongest association with GDM (odds ratio 1.518; P=6.65×10(-16)). A variant near MTNR1B, rs10830962, was also significantly associated with the risk of GDM (1.454; P=2.49×10(-13)). We found that there is an excess of association between known type 2 diabetes variants and GDM above what is expected under the null hypothesis. In conclusion, we have confirmed that genetic variants in CDKAL1 and near MTNR1B are strongly associated with GDM in Korean women. There seems to be a shared genetic basis between GDM and type 2 diabetes.
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Affiliation(s)
- Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Sung-Hoon Kim
- Department of Medicine, Kwandong University College of Medicine, Seoul, Korea
| | - Young Min Cho
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Min Jin Go
- Center for Genome Science, Korea National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Korea
| | - Yoon Shin Cho
- Center for Genome Science, Korea National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Korea
| | - Sung Hee Choi
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Hye Seung Jung
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | | | - Hyun Min Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Nam H. Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Suwon, Korea
| | - In Kyu Lee
- Department of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea
| | - Seong Yeon Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Bok-Ghee Han
- Center for Genome Science, Korea National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Korea
| | - Hak C. Jang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Corresponding authors: Hak C. Jang, , and Kyong Soo Park,
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- World Class University Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology and College of Medicine, Seoul National University, Seoul, Korea
- Corresponding authors: Hak C. Jang, , and Kyong Soo Park,
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3687
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Carty CL, Johnson NA, Hutter CM, Reiner AP, Peters U, Tang H, Kooperberg C. Genome-wide association study of body height in African Americans: the Women's Health Initiative SNP Health Association Resource (SHARe). Hum Mol Genet 2012; 21:711-20. [PMID: 22021425 PMCID: PMC3259012 DOI: 10.1093/hmg/ddr489] [Citation(s) in RCA: 74] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2011] [Revised: 09/26/2011] [Accepted: 10/18/2011] [Indexed: 11/13/2022] Open
Abstract
Height is a complex trait under strong genetic influence. To date, numerous genetic loci have been associated with height in individuals of European ancestry. However, few large-scale discovery genome-wide association studies (GWAS) of height in minority populations have been conducted and thus information about population-specific height regulation is limited. We conducted a GWA analysis of height in 8149 African-American (AA) women from the Women's Health Initiative. Genetic variants with P< 5 × 10(-5) (n = 169) were followed up in a replication data set (n = 20 809) and meta-analyzed in a total of 28 958 AAs and African-descent individuals. Twelve single-nucleotide polymorphisms (SNPs) representing 7 independent loci were significantly associated with height at P < 5 × 10(-8). We identified novel SNPs in 17q23 (TMEM100/PCTP) and Xp22.3 (ARSE) reflecting population-specific regulation of height in AAs and replicated five loci previously reported in European-descent populations [4p15/LCORL, 11q13/SERPINH1, 12q14/HMGA2, 17q23/MAP3K3 (mitogen-activated protein kinase3) and 18q21/DYM]. In addition, we performed an admixture mapping analysis of height which is both complementary and supportive to the GWA analysis and suggests potential associations between ancestry and height on chromosomes 4 (4q21), 15 (15q26) and 17 (17q23). Our findings provide insight into the genetic architecture of height and support the investigation of non-European-descent populations for identifying genetic factors associated with complex traits. Specifically, we identify new loci that may reflect population-specific regulation of height and report several known height loci that are important in determining height in African-descent populations.
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Affiliation(s)
- Cara L Carty
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
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3688
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Liu J, Hoppman N, O'Connell JR, Wang H, Streeten EA, McLenithan JC, Mitchell BD, Shuldiner AR. A functional haplotype in EIF2AK3, an ER stress sensor, is associated with lower bone mineral density. J Bone Miner Res 2012; 27:331-41. [PMID: 22028037 PMCID: PMC3319695 DOI: 10.1002/jbmr.549] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
EIF2AK3 is a type I transmembrane protein that functions as an endoplasmic reticulum (ER) stress sensor to regulate global protein synthesis. Rare mutations in EIF2AK3 cause Wolcott-Rallison syndrome (OMIM 226980), an autosomal recessive disorder characterized by diabetes, epiphyseal dysplasia, osteoporosis, and growth retardation. To investigate the role of common genetic variation in EIF2AK3 as a determinant of bone mineral density (BMD) and osteoporosis, we sequenced all exons and flanking regions, then genotyped six potentially functional single nucleotide polymorphisms (SNPs) in this gene in 997 Amish subjects for association analysis, and attempted replication in 887 Mexican Americans. We found that the minor allele of a nonsynonymous SNP rs13045 had borderline associations with decreased forearm BMD in both discovery and replication cohorts (unadjusted p = 0.036 and β = -0.007 for the Amish; unadjusted p = 0.031 and β = -0.008 for Mexican Americans). A meta-analysis indicated this association achieved statistical significance in the combined sample (unadjusted p = 0.003; Bonferroni corrected p = 0.009). Rs13045 and three other potentially functional SNPs, a promoter SNP (rs6547787) and two nonsynonymous SNPs (rs867529 and rs1805165), formed two haplotypes: a low-BMD associated haplotype, denoted haplotype B [minor allele frequency (MAF) = 0.311] and a common haplotype A (MAF = 0.676). There were no differences in mRNA expression in lymphoblastoid cell lines between the two haplotypes. However, after treating lymphoblastoid cell lines with thapsigargin to induce ER stress, cell lines with haplotype B showed increased sensitivity to ER stress (p = 0.014) compared with cell lines with haplotype A. Taken together, our results suggest that common nonsynonymous sequence variants in EIF2AK3 have a modest effect on ER stress response and may contribute to the risk for low BMD through this mechanism.
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Affiliation(s)
- Jie Liu
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Nicole Hoppman
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Jeffrey R O'Connell
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Hong Wang
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Elizabeth A Streeten
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - John C McLenithan
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Alan R Shuldiner
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Geriatric Research Education and Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD 21201, USA
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3689
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Murabito JM, White CC, Kavousi M, Sun YV, Feitosa MF, Nambi V, Lamina C, Schillert A, Coassin S, Bis JC, Broer L, Crawford DC, Franceschini N, Frikke-Schmidt R, Haun M, Holewijn S, Huffman JE, Hwang SJ, Kiechl S, Kollerits B, Montasser ME, Nolte IM, Rudock ME, Senft A, Teumer A, van der Harst P, Vitart V, Waite LL, Wood AR, Wassel CL, Absher DM, Allison MA, Amin N, Arnold A, Asselbergs FW, Aulchenko Y, Bandinelli S, Barbalic M, Boban M, Brown-Gentry K, Couper DJ, Criqui MH, Dehghan A, Heijer MD, Dieplinger B, Ding J, Dörr M, Espinola-Klein C, Felix SB, Ferrucci L, Folsom AR, Fraedrich G, Gibson Q, Goodloe R, Gunjaca G, Haltmayer M, Heiss G, Hofman A, Kieback A, Kiemeney LA, Kolcic I, Kullo IJ, Kritchevsky SB, Lackner KJ, Li X, Lieb W, Lohman K, Meisinger C, Melzer D, Mohler ER, Mudnic I, Mueller T, Navis G, Oberhollenzer F, Olin JW, O’Connell J, O’Donnell CJ, Palmas W, Penninx BW, Petersmann A, Polasek O, Psaty BM, Rantner B, Rice K, Rivadeneira F, Rotter JI, Seldenrijk A, Stadler M, Summerer M, Tanaka T, Tybjaerg-Hansen A, Uitterlinden AG, van Gilst WH, Vermeulen SH, Wild SH, Wild PS, Willeit J, Zeller T, Zemunik T, Zgaga L, et alMurabito JM, White CC, Kavousi M, Sun YV, Feitosa MF, Nambi V, Lamina C, Schillert A, Coassin S, Bis JC, Broer L, Crawford DC, Franceschini N, Frikke-Schmidt R, Haun M, Holewijn S, Huffman JE, Hwang SJ, Kiechl S, Kollerits B, Montasser ME, Nolte IM, Rudock ME, Senft A, Teumer A, van der Harst P, Vitart V, Waite LL, Wood AR, Wassel CL, Absher DM, Allison MA, Amin N, Arnold A, Asselbergs FW, Aulchenko Y, Bandinelli S, Barbalic M, Boban M, Brown-Gentry K, Couper DJ, Criqui MH, Dehghan A, Heijer MD, Dieplinger B, Ding J, Dörr M, Espinola-Klein C, Felix SB, Ferrucci L, Folsom AR, Fraedrich G, Gibson Q, Goodloe R, Gunjaca G, Haltmayer M, Heiss G, Hofman A, Kieback A, Kiemeney LA, Kolcic I, Kullo IJ, Kritchevsky SB, Lackner KJ, Li X, Lieb W, Lohman K, Meisinger C, Melzer D, Mohler ER, Mudnic I, Mueller T, Navis G, Oberhollenzer F, Olin JW, O’Connell J, O’Donnell CJ, Palmas W, Penninx BW, Petersmann A, Polasek O, Psaty BM, Rantner B, Rice K, Rivadeneira F, Rotter JI, Seldenrijk A, Stadler M, Summerer M, Tanaka T, Tybjaerg-Hansen A, Uitterlinden AG, van Gilst WH, Vermeulen SH, Wild SH, Wild PS, Willeit J, Zeller T, Zemunik T, Zgaga L, Assimes TL, Blankenberg S, Boerwinkle E, Campbell H, Cooke JP, de Graaf J, Herrington D, Kardia SLR, Mitchell BD, Murray A, Münzel T, Newman A, Oostra BA, Rudan I, Shuldiner AR, Snieder H, van Duijn CM, Völker U, Wright AF, Wichmann HE, Wilson JF, Witteman JC, Liu Y, Hayward C, Borecki IB, Ziegler A, North KE, Cupples LA, Kronenberg F. Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies. CIRCULATION. CARDIOVASCULAR GENETICS 2012; 5:100-12. [PMID: 22199011 PMCID: PMC3303225 DOI: 10.1161/circgenetics.111.961292] [Show More Authors] [Citation(s) in RCA: 95] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts. METHODS AND RESULTS Continuous ABI and PAD (ABI ≤0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fixed effects inverse variance weighted meta-analyses. There were a total of 41 692 participants of European ancestry (≈60% women, mean ABI 1.02 to 1.19), including 3409 participants with PAD and with genome-wide association study data available. In the discovery meta-analysis, rs10757269 on chromosome 9 near CDKN2B had the strongest association with ABI (β=-0.006, P=2.46×10(-8)). We sought replication of the 6 strongest SNP associations in 5 population-based studies and 3 clinical samples (n=16 717). The association for rs10757269 strengthened in the combined discovery and replication analysis (P=2.65×10(-9)). No other SNP associations for ABI or PAD achieved genome-wide significance. However, 2 previously reported candidate genes for PAD and 1 SNP associated with coronary artery disease were associated with ABI: DAB21P (rs13290547, P=3.6×10(-5)), CYBA (rs3794624, P=6.3×10(-5)), and rs1122608 (LDLR, P=0.0026). CONCLUSIONS Genome-wide association studies in more than 40 000 individuals identified 1 genome wide significant association on chromosome 9p21 with ABI. Two candidate genes for PAD and 1 SNP for coronary artery disease are associated with ABI.
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Affiliation(s)
- Joanne M. Murabito
- NHLBI’s Framingham Heart Study, Framingham
- Dept of Med, Section of Gen Internal Med, BU School of Med
| | | | - Maryam Kavousi
- Dept of Epidemiology, Erasmus Univ Med Ctr
- Netherlands Genomics Initiative (NGI)-Sponsored Netherlands Consortium for Hlthy Aging (NCHA) & Ctr for Med Systems Biology, Rotterdam, the Netherlands
| | - Yan V. Sun
- Dept of Epidemiology, Emory Univ School of Public Hlth, Atlanta, GA
| | - Mary F. Feitosa
- Statistical Genomics, Dept of Genetics, Washington Univ School of Med, St. Louis, MO
| | - Vijay Nambi
- Dept of Atherosclerosis & Vascular Med, BCM, Houston, TX
| | - Claudia Lamina
- Genetic Epidemiology, Dept of Med Genetics, Molecular & Clin Pharmacology, Innsbruck Med Univ, Innsbruck, Austria
| | | | - Stefan Coassin
- Genetic Epidemiology, Dept of Med Genetics, Molecular & Clin Pharmacology, Innsbruck Med Univ, Innsbruck, Austria
| | - Joshua C. Bis
- Cardiovascular Hlth Rsrch Unit, Dept of Med, Univ of Washington, Seattle, WA
| | - Linda Broer
- Dept of Epidemiology, Erasmus Univ Med Ctr
- Netherlands Genomics Initiative (NGI)-Sponsored Netherlands Consortium for Hlthy Aging (NCHA) & Ctr for Med Systems Biology, Rotterdam, the Netherlands
| | - Dana C. Crawford
- Dept of Molecular Physiology & Biophysics, The Ctr for Human Genetics Rsrch, Vanderbilt Univ, Nashville, TN
| | - Nora Franceschini
- Dept of Epidemiology, UNC Gillings School of Global Public Hlth, The Univ of North Carolina, Chapel Hill, NC
| | - Ruth Frikke-Schmidt
- Dept of Clin Biochemistry, Rigshospitalet, Copenhagen Univ Hosp, Copenhagen, Denmark
| | - Margot Haun
- Genetic Epidemiology, Dept of Med Genetics, Molecular & Clin Pharmacology, Innsbruck Med Univ, Innsbruck, Austria
| | - Suzanne Holewijn
- Dept of Gen Internal Med, Vascular Med, Radboud Univ Nijmegen Med Ctr, Nijmegen, The Netherlands
| | - Jennifer E. Huffman
- MRC Human Genetics Unit, Inst of Genetics & Molecular Med, Western Gen Hosp, Edinburgh, Scotland, UK
| | | | - Stefan Kiechl
- Dept of Neurology, Innsbruck Med Univ, Innsbruck, Austria
| | - Barbara Kollerits
- Genetic Epidemiology, Dept of Med Genetics, Molecular & Clin Pharmacology, Innsbruck Med Univ, Innsbruck, Austria
| | - May E. Montasser
- Endocrinology, Dept of Med, Univ of Maryland School of Med, Baltimore, MD
| | - Ilja M. Nolte
- Unit of Gen Epidemiology & Bioinformatics, Dept of Epidemiology, Univ Med Ctr Groningen, Univ of Groningen, Groningen, The Netherlands
| | - Megan E. Rudock
- Dept of Epidemiology & Prevention, Wake Forest Univ School of Med, Winston-Salem, NC
| | - Andrea Senft
- Institut für Med Biometrie & Statistik, Univ zu Lübeck, Universitätsklinikum Schleswig-Holstein, Lübeck, Germany
| | - Alexander Teumer
- Interfaculty Inst for Genetics & Functional Genomics, Ernst-Moritz-Arndt-Univ Greifswald, Greifswald, Germany
| | - Pim van der Harst
- Dept of Cardiology, Univ Med Ctr Groningen, Univ of Groningen, Groningen, The Netherlands
- Dept of Genetics, Univ Med Ctr Groningen, Univ of Groningen, Groningen, The Netherlands
| | - Veronique Vitart
- MRC Human Genetics Unit, Inst of Genetics & Molecular Med, Western Gen Hosp, Edinburgh, Scotland, UK
| | | | - Andrew R. Wood
- Genetics of Complex Traits, Peninsula College of Med & Dentistry, Univ of Exeter, UK
| | | | | | - Matthew A. Allison
- Dept of Family & Preventive Med, UC San Diego, Preventive Med, La Jolla, CA
| | - Najaf Amin
- Dept of Epidemiology, Erasmus Univ Med Ctr
| | - Alice Arnold
- Dept of Biostatistics, Univ of Washington, Seattle, WA
| | - Folkert W. Asselbergs
- Dept of Cardiology, Heart & Lungs, Univ Med Ctr Utrecht, Utrecht, The Netherlands
- Julius Ctr for Hlth Sciences & Primary Care, Univ Med Ctr, Utrecht, The Netherlands
- Dept of Med Genetics, Biomedical Genetics, Univ Med Ctr, Utrecht, The Netherlands
| | | | - Stefania Bandinelli
- Geriatric Rehabilitation Unit, Azienda Sanitaria di Firenze, Florence, Italy
| | - Maja Barbalic
- Univ of Texas Hlth Science Ctr at Houston, Dept of Epidemiology, Human Genetics & Environmental Sciences, Houston, TX
| | | | | | | | - Michael H. Criqui
- Dept of Family & Preventive Med, UC San Diego, Preventive Med, La Jolla, CA
| | - Abbas Dehghan
- Dept of Epidemiology, Erasmus Univ Med Ctr
- Netherlands Genomics Initiative (NGI)-Sponsored Netherlands Consortium for Hlthy Aging (NCHA) & Ctr for Med Systems Biology, Rotterdam, the Netherlands
| | - Martin den Heijer
- Dept of Endocrinology & Epidemiology, Biostatistics & HTA, Radboud Univ Nijmegen Med Ctr, Nijmegen, The Netherlands
| | | | - Jingzhong Ding
- Sticht Ctr on Aging, Wake Forest School of Med, Winston-Salem, NC
| | - Marcus Dörr
- Dept of Internal Med B- Cardiology, Angiology & Pneumology & Intensive Care Med, Univ Med, Greifswald
| | | | - Stephan B. Felix
- Dept of Internal Med B- Cardiology, Angiology & Pneumology & Intensive Care Med, Univ Med, Greifswald
| | - Luigi Ferrucci
- Longitudinal Studies Section, Clinical Rsrch Branch, Nat Inst on Aging, NIH, Baltimore, MD
| | - Aaron R. Folsom
- Epidemiology & Community Hlth, School of Public Hlth, Univ of Minnesota, Minneapolis, MN
| | - Gustav Fraedrich
- Dept of Vascular Surgery, Innsbruck Med Univ, Innsbruck, Austria
| | - Quince Gibson
- Endocrinology, Dept of Med, Univ of Maryland School of Med, Baltimore, MD
| | - Robert Goodloe
- The Ctr for Human Genetics Rsrch, Vanderbilt Univ, Nashville, TN
| | | | - Meinhard Haltmayer
- Dept of Lab Med, Konventhospital Barmherzige Brueder Linz, Linz, Austria
| | - Gerardo Heiss
- Dept of Epidemiology, UNC Gillings School of Global Public Hlth, The Univ of North Carolina, Chapel Hill, NC
| | - Albert Hofman
- Dept of Epidemiology, Erasmus Univ Med Ctr
- Netherlands Genomics Initiative (NGI)-Sponsored Netherlands Consortium for Hlthy Aging (NCHA) & Ctr for Med Systems Biology, Rotterdam, the Netherlands
| | - Arne Kieback
- Dept of Internal Med B- Cardiology, Angiology & Pneumology & Intensive Care Med, Univ Med, Greifswald
| | - Lambertus A. Kiemeney
- Dept of Epidemiology, Biostatistics & HTA, Radboud Univ Nijmegen Med Ctr, Nijmegen, The Netherlands
| | - Ivana Kolcic
- Dept of Public Hlth, University of Split School of Med, Croatia
| | - Iftikhar J. Kullo
- Cardiovascular Diseases & the Gonda Vascular Ctr, Mayo Clinic, Rochester, MN
| | | | - Karl J. Lackner
- Dept of Med 2, Univ Med Ctr Mainz, Johannes Gutenberg-Univ Mainz, Germany
| | - Xiaohui Li
- Med Genetics Inst, Cedars-Sinai Med Ctr, Los Angeles, CA
| | - Wolfgang Lieb
- Inst for Community Med, Univ Med Greifswald, Germany
| | - Kurt Lohman
- Dept of Biostatistics, Wake Forest Univ School of Med, Winston-Salem, NC
| | - Christa Meisinger
- Inst of Epidemiology II, Helmholtz Zentrum München, German Rsrch Ctr for Environmental Hlth (GmbH), Neuherberg, Germany
| | - David Melzer
- Dept of Epidemiology & Public Hlth, Peninsula College of Med & Dentistry, Univ of Exeter, UK
| | - Emile R Mohler
- Perelman School of Med at the Univ of Pennsylvania, Cardiovascular Division, Vascular Med Section, Philadelphia, PA
| | | | - Thomas Mueller
- Dept of Lab Med, Konventhospital Barmherzige Brueder Linz, Linz, Austria
| | - Gerjan Navis
- Dept of Internal Med, Univ Med Ctr Groningen, Univ of Groningen, Groningen, Netherlands
| | | | | | - Jeff O’Connell
- Endocrinology, Dept of Med, Univ of Maryland School of Med, Baltimore, MD
| | - Christopher J. O’Donnell
- NHLBI’s Framingham Heart Study, Framingham
- Nat Heart, Lung, & Blood Inst, Intramural Rsrch, Bethesda, MD
| | | | - Brenda W. Penninx
- Dept of Psychiatry/EMGO Inst, VU Univ Med Ctr, Amsterdam
- Dept of Psychiatry, Univ Med Ctr Groningen, Univ of Groningen, Groningen
- Dept of Psychiatry, Leiden Univ Med Ctr, Leiden, The Netherlands
| | | | - Ozren Polasek
- Dept of Public Hlth, University of Split School of Med, Croatia
| | - Bruce M. Psaty
- Cardiovascular Hlth Rsrch Unit, Depts of Med, Epidemiology & Hlth Services, Univ of Washington
- Group Hlth Rsrch Inst, Group Hlth Cooperative, Seattle, WA
| | - Barbara Rantner
- Genetic Epidemiology, Dept of Med Genetics, Molecular & Clin Pharmacology, Innsbruck Med Univ, Innsbruck, Austria
- Dept of Vascular Surgery, Innsbruck Med Univ, Innsbruck, Austria
| | - Ken Rice
- Dept of Biostatistics, Univ of Washington, Seattle, WA
| | - Fernando Rivadeneira
- Dept of Epidemiology, Erasmus Univ Med Ctr
- Netherlands Genomics Initiative (NGI)-Sponsored Netherlands Consortium for Hlthy Aging (NCHA) & Ctr for Med Systems Biology, Rotterdam, the Netherlands
- Dept of Internal Med, Erasmus Univ Med Ctr, Rotterdam, The Netherlands
| | | | | | - Marietta Stadler
- Hietzing Hosp, 3rd Med Dept of Metabolic Diseases & Nephrology, Vienna, Austria
| | - Monika Summerer
- Genetic Epidemiology, Dept of Med Genetics, Molecular & Clin Pharmacology, Innsbruck Med Univ, Innsbruck, Austria
| | | | - Anne Tybjaerg-Hansen
- Dept of Clin Biochemistry, Rigshospitalet, Copenhagen Univ Hosp, Copenhagen, Denmark
| | - Andre G. Uitterlinden
- Dept of Epidemiology, Erasmus Univ Med Ctr
- Netherlands Genomics Initiative (NGI)-Sponsored Netherlands Consortium for Hlthy Aging (NCHA) & Ctr for Med Systems Biology, Rotterdam, the Netherlands
- Dept of Internal Med, Erasmus Univ Med Ctr, Rotterdam, The Netherlands
| | - Wiek H. van Gilst
- Dept of Cardiology, Univ Med Ctr Groningen, Univ of Groningen, Groningen, The Netherlands
| | - Sita H. Vermeulen
- Dept of Epidemiology, Biostatistics & HTA, Radboud Univ Nijmegen Med Ctr, Nijmegen, The Netherlands
| | - Sarah H. Wild
- Ctr for Pop Hlth Sciences, Univ of Edinburgh, Edinburgh, Scotland
| | - Philipp S. Wild
- Dept of Med 2, Univ Med Ctr Mainz, Johannes Gutenberg-Univ Mainz, Germany
- Ctr for Thrombosis & Hemostasis, Univ Med Ctr Mainz, Johannes Gutenberg-Univ Mainz
| | - Johann Willeit
- Dept of Neurology, Innsbruck Med Univ, Innsbruck, Austria
| | - Tanja Zeller
- Clinic for General & Interventional Cardiology, Univ Heart Ctr Hamburg, Hamburg, Germany
| | | | - Lina Zgaga
- Ctr for Pop Hlth Sciences, Univ of Edinburgh, Edinburgh, Scotland
- Andrija Stampar School of Public Health, Med School, Univ of Zagreb, Croatia
| | | | - Stefan Blankenberg
- Clinic for General & Interventional Cardiology, Univ Heart Ctr Hamburg, Hamburg, Germany
| | - Eric Boerwinkle
- Univ of Texas Hlth Science Ctr at Houston, Dept of Epidemiology, Human Genetics & Environmental Sciences, Houston, TX
| | - Harry Campbell
- Ctr for Pop Hlth Sciences, Univ of Edinburgh, Edinburgh, Scotland
| | - John P. Cooke
- Dept of Med, Stanford Univ School of Med, Stanford, CA
| | - Jacqueline de Graaf
- Dept of Gen Internal Med, Vascular Med, Radboud Univ Nijmegen Med Ctr, Nijmegen, The Netherlands
| | - David Herrington
- Dept of Internal Med, Wake Forest Univ School of Med, Winston-Salem, NC
| | | | | | - Anna Murray
- Genetics of Complex Traits, Peninsula College of Med & Dentistry, Univ of Exeter, UK
| | - Thomas Münzel
- Dept of Med 2, Univ Med Ctr Mainz, Johannes Gutenberg-Univ Mainz, Germany
| | - Anne Newman
- Dept of Epidemiology, Graduate School of Public Hlth, Univ of Pittsburgh, PA
| | - Ben A. Oostra
- Dept of Clinical Genetics, Erasmus Med Ctr, Rotterdam, The Netherlands
| | - Igor Rudan
- Ctr for Pop Hlth Sciences, Univ of Edinburgh, Edinburgh, Scotland
- Andrija Stampar School of Public Health, Med School, Univ of Zagreb, Croatia
| | - Alan R. Shuldiner
- Endocrinology, Dept of Med, Univ of Maryland School of Med, Baltimore, MD
- Geriatric Rsrch & Edu Clinical Ctr, VA Med Ctr, Baltimore, MD
| | - Harold Snieder
- Unit of Gen Epidemiology & Bioinformatics, Dept of Epidemiology, Univ Med Ctr Groningen, Univ of Groningen, Groningen, The Netherlands
| | - Cornelia M. van Duijn
- Dept of Epidemiology, Erasmus Univ Med Ctr
- Netherlands Genomics Initiative (NGI)-Sponsored Netherlands Consortium for Hlthy Aging (NCHA) & Ctr for Med Systems Biology, Rotterdam, the Netherlands
| | - Uwe Völker
- Interfaculty Inst for Genetics & Functional Genomics, Ernst-Moritz-Arndt-Univ Greifswald, Greifswald, Germany
| | - Alan F. Wright
- MRC Human Genetics Unit, Inst of Genetics & Molecular Med, Western Gen Hosp, Edinburgh, Scotland, UK
| | - H.-Erich Wichmann
- Inst of Epidemiology I, Helmholtz Zentrum München, German Rsrch Ctr for Environmental Hlth (GmbH), Neuherberg, Germany
| | - James F. Wilson
- Ctr for Pop Hlth Sciences, Univ of Edinburgh, Edinburgh, Scotland
| | - Jacqueline C.M. Witteman
- Dept of Epidemiology, Erasmus Univ Med Ctr
- Netherlands Genomics Initiative (NGI)-Sponsored Netherlands Consortium for Hlthy Aging (NCHA) & Ctr for Med Systems Biology, Rotterdam, the Netherlands
| | - Yongmei Liu
- Dept of Epidemiology & Prevention, Wake Forest Univ School of Med, Winston-Salem, NC
| | - Caroline Hayward
- MRC Human Genetics Unit, Inst of Genetics & Molecular Med, Western Gen Hosp, Edinburgh, Scotland, UK
| | - Ingrid B. Borecki
- Statistical Genomics, Dept of Genetics, Washington Univ School of Med, St. Louis, MO
| | - Andreas Ziegler
- Institut für Med Biometrie & Statistik, Univ zu Lübeck, Universitätsklinikum Schleswig-Holstein, Lübeck, Germany
| | - Kari E. North
- Dept of Epidemiology, UNC Gillings School of Global Public Hlth, The Univ of North Carolina, Chapel Hill, NC
- Carolina Ctr for Genome Sciences, School of Public Hlth, UNC-CH, Chapel Hill, NC
| | - L. Adrienne Cupples
- NHLBI’s Framingham Heart Study, Framingham
- Dept of Biostatistics, BU, Boston, MA
| | - Florian Kronenberg
- Genetic Epidemiology, Dept of Med Genetics, Molecular & Clin Pharmacology, Innsbruck Med Univ, Innsbruck, Austria
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3690
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Hong CB, Kim YJ, Moon S, Shin YA, Go MJ, Kim DJ, Lee JY, Cho YS. BioSMACK: a linux live CD for genome-wide association analyses. BMB Rep 2012; 45:44-6. [PMID: 22281012 DOI: 10.5483/bmbrep.2012.45.1.44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Recent advances in high-throughput genotyping technologies have enabled us to conduct a genome-wide association study (GWAS) on a large cohort. However, analyzing millions of single nucleotide polymorphisms (SNPs) is still a difficult task for researchers conducting a GWAS. Several difficulties such as compatibilities and dependencies are often encountered by researchers using analytical tools, during the installation of software. This is a huge obstacle to any research institute without computing facilities and specialists. Therefore, a proper research environment is an urgent need for researchers working on GWAS. We developed BioSMACK to provide a research environment for GWAS that requires no configuration and is easy to use. BioSMACK is based on the Ubuntu Live CD that offers a complete Linux-based operating system environment without installation. Moreover, we provide users with a GWAS manual consisting of a series of guidelines for GWAS and useful examples. BioSMACK is freely available at http://ksnp.cdc. go.kr/biosmack.
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Affiliation(s)
- Chang Bum Hong
- Division of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Korea
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Stolk L, Perry JRB, Chasman DI, He C, Mangino M, Sulem P, Barbalic M, Broer L, Byrne EM, Ernst F, Esko T, Franceschini N, Gudbjartsson DF, Hottenga JJ, Kraft P, McArdle PF, Porcu E, Shin SY, Smith AV, van Wingerden S, Zhai G, Zhuang WV, Albrecht E, Alizadeh BZ, Aspelund T, Bandinelli S, Lauc LB, Beckmann JS, Boban M, Boerwinkle E, Broekmans FJ, Burri A, Campbell H, Chanock SJ, Chen C, Cornelis MC, Corre T, Coviello AD, d’Adamo P, Davies G, de Faire U, de Geus EJC, Deary IJ, Dedoussis GVZ, Deloukas P, Ebrahim S, Eiriksdottir G, Emilsson V, Eriksson JG, Fauser BCJM, Ferreli L, Ferrucci L, Fischer K, Folsom AR, Garcia ME, Gasparini P, Gieger C, Glazer N, Grobbee DE, Hall P, Haller T, Hankinson SE, Hass M, Hayward C, Heath AC, Hofman A, Ingelsson E, Janssens ACJW, Johnson AD, Karasik D, Kardia SLR, Keyzer J, Kiel DP, Kolcic I, Kutalik Z, Lahti J, Lai S, Laisk T, Laven JSE, Lawlor DA, Liu J, Lopez LM, Louwers YV, Magnusson PKE, Marongiu M, Martin NG, Klaric IM, Masciullo C, McKnight B, Medland SE, Melzer D, Mooser V, Navarro P, Newman AB, Nyholt DR, Onland-Moret NC, Palotie A, Paré G, Parker AN, Pedersen NL, et alStolk L, Perry JRB, Chasman DI, He C, Mangino M, Sulem P, Barbalic M, Broer L, Byrne EM, Ernst F, Esko T, Franceschini N, Gudbjartsson DF, Hottenga JJ, Kraft P, McArdle PF, Porcu E, Shin SY, Smith AV, van Wingerden S, Zhai G, Zhuang WV, Albrecht E, Alizadeh BZ, Aspelund T, Bandinelli S, Lauc LB, Beckmann JS, Boban M, Boerwinkle E, Broekmans FJ, Burri A, Campbell H, Chanock SJ, Chen C, Cornelis MC, Corre T, Coviello AD, d’Adamo P, Davies G, de Faire U, de Geus EJC, Deary IJ, Dedoussis GVZ, Deloukas P, Ebrahim S, Eiriksdottir G, Emilsson V, Eriksson JG, Fauser BCJM, Ferreli L, Ferrucci L, Fischer K, Folsom AR, Garcia ME, Gasparini P, Gieger C, Glazer N, Grobbee DE, Hall P, Haller T, Hankinson SE, Hass M, Hayward C, Heath AC, Hofman A, Ingelsson E, Janssens ACJW, Johnson AD, Karasik D, Kardia SLR, Keyzer J, Kiel DP, Kolcic I, Kutalik Z, Lahti J, Lai S, Laisk T, Laven JSE, Lawlor DA, Liu J, Lopez LM, Louwers YV, Magnusson PKE, Marongiu M, Martin NG, Klaric IM, Masciullo C, McKnight B, Medland SE, Melzer D, Mooser V, Navarro P, Newman AB, Nyholt DR, Onland-Moret NC, Palotie A, Paré G, Parker AN, Pedersen NL, Peeters PHM, Pistis G, Plump AS, Polasek O, Pop VJM, Psaty BM, Räikkönen K, Rehnberg E, Rotter JI, Rudan I, Sala C, Salumets A, Scuteri A, Singleton A, Smith JA, Snieder H, Soranzo N, Stacey SN, Starr JM, Stathopoulou MG, Stirrups K, Stolk RP, Styrkarsdottir U, Sun YV, Tenesa A, Thorand B, Toniolo D, Tryggvadottir L, Tsui K, Ulivi S, van Dam RM, van der Schouw YT, van Gils CH, van Nierop P, Vink JM, Visscher PM, Voorhuis M, Waeber G, Wallaschofski H, Wichmann HE, Widen E, Gent CJMWV, Willemsen G, Wilson JF, Wolffenbuttel BHR, Wright AF, Yerges-Armstrong LM, Zemunik T, Zgaga L, Zillikens MC, Zygmunt M, The LifeLines Cohort Study, Arnold AM, Boomsma DI, Buring JE, Crisponi L, Demerath EW, Gudnason V, Harris TB, Hu FB, Hunter DJ, Launer LJ, Metspalu A, Montgomery GW, Oostra BA, Ridker PM, Sanna S, Schlessinger D, Spector TD, Stefansson K, Streeten EA, Thorsteinsdottir U, Uda M, Uitterlinden AG, van Duijn CM, Völzke H, Murray A, Murabito JM, Visser JA, Lunetta KL. Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways. Nat Genet 2012; 44:260-8. [PMID: 22267201 PMCID: PMC3288642 DOI: 10.1038/ng.1051] [Show More Authors] [Citation(s) in RCA: 280] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2011] [Accepted: 12/02/2011] [Indexed: 12/13/2022]
Abstract
To newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at natural menopause (at P < 5 × 10(-8)). Candidate genes located at these newly associated loci include genes implicated in DNA repair (EXO1, HELQ, UIMC1, FAM175A, FANCI, TLK1, POLG and PRIM1) and immune function (IL11, NLRP11 and PRRC2A (also known as BAT2)). Gene-set enrichment pathway analyses using the full GWAS data set identified exoDNase, NF-κB signaling and mitochondrial dysfunction as biological processes related to timing of menopause.
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Affiliation(s)
- Lisette Stolk
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
- Netherlands Consortium of Healthy Aging, Rotterdam, the Netherlands
| | - John RB Perry
- Peninsula Medical School, University of Exeter, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston USA
- Harvard Medical School, Boston, USA
| | - Chunyan He
- Department of Public Health, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana, USA
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | | | - Maja Barbalic
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Linda Broer
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Enda M Byrne
- Queensland Institute of Medical Research, Brisbane, Australia
| | - Florian Ernst
- Interfakultäres Institut für Genomforschung, Universität Greifswald, Germany
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Estonian Biocenter, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - Jouke-Jan Hottenga
- Dept Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, USA
| | - Patick F McArdle
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Eleonora Porcu
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | - So-Youn Shin
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | | | - Guangju Zhai
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - Wei V Zhuang
- Department of Biostatistics, Boston University School of Public Health, Boston Massachusetts, USA
| | - Eva Albrecht
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Thor Aspelund
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | | | | | - Jacques S Beckmann
- Department of Medical Genetics, University of Lausanne, Switzerland
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois (CHUV), University Hospital, Lausanne, Switzerland
| | - Mladen Boban
- Faculty of Medicine, University of Split, Split, Croatia
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Frank J Broekmans
- Department of Reproductive Medicine and Gynaecology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Andrea Burri
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Constance Chen
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Marilyn C Cornelis
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Tanguy Corre
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Andrea D Coviello
- Sections of General Internal Medicine, Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston MA, USA
- NHLBI Framingham Heart Study, Framingham, MA, USA
| | - Pio d’Adamo
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo” Trieste, Italy
- University of Trieste, Trieste, Italy
| | - Gail Davies
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Ulf de Faire
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eco JC de Geus
- Dept Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
- EMGO+ Institute, VU Medical Centre, Amsterdam, The Netherlands
| | - Ian J Deary
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | | | | | - Shah Ebrahim
- Department of Epidemiology & Population Healths, London School of Hygiene & Tropical Medicine, UK
| | | | | | - Johan G Eriksson
- National Institute for Health and Welfare, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland
- Folkhalsan Research Centre, Helsinki, Finland
- Vasa Central Hospital, Vasa, Finland
| | - Bart CJM Fauser
- Department of Reproductive Medicine and Gynaecology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Liana Ferreli
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | - Luigi Ferrucci
- Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Melissa E Garcia
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Paolo Gasparini
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo” Trieste, Italy
- University of Trieste, Trieste, Italy
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Nicole Glazer
- Sections of General Internal Medicine, Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston MA, USA
| | - Diederick E Grobbee
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Toomas Haller
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Susan E Hankinson
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Channing Laboratory, Department of Medicine, Brigham and Women.s Hospital Harvard Medical School, Boston, Massachusetts, USA
| | - Merli Hass
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Caroline Hayward
- MRC Human Genetics Unit at the Medical Research Council Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital, Edinburgh, UK
| | | | - Albert Hofman
- Netherlands Consortium of Healthy Aging, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Erik Ingelsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | | | - David Karasik
- NHLBI Framingham Heart Study, Framingham, MA, USA
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, Massachusetts, USA
| | - Sharon LR Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Jules Keyzer
- Diagnostic GP laboratory Eindhoven, Eindhoven, the Netherlands
| | - Douglas P Kiel
- NHLBI Framingham Heart Study, Framingham, MA, USA
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, Massachusetts, USA
| | - Ivana Kolcic
- Faculty of Medicine, University of Split, Split, Croatia
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Switzerland
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Sandra Lai
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | - Triin Laisk
- Department of Obstetrics and Gynecology, University of Tartu, Tartu, Estonia
| | - Joop SE Laven
- Division of Reproductive Medicine, Department of Obstetrics & Gynaecology, Erasmus MC, Rotterdam, the Netherlands
| | - Debbie A Lawlor
- MRC Centre for Causal Analysis in Translational Epidemiology, School of Social & Community Medicine, University of Bristol, UK
| | - Jianjun Liu
- Human genetic, Genome Institute of Singapore, Singapore
| | - Lorna M Lopez
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | - Yvonne V Louwers
- Division of Reproductive Medicine, Department of Obstetrics & Gynaecology, Erasmus MC, Rotterdam, the Netherlands
| | - Patrik KE Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mara Marongiu
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | | | | | - Corrado Masciullo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Sarah E Medland
- Queensland Institute of Medical Research, Brisbane, Australia
| | - David Melzer
- Peninsula Medical School, University of Exeter, UK
| | - Vincent Mooser
- Genetics Division, GlaxoSmithKline, King of Prussia, Pennsylvania, USA
| | - Pau Navarro
- MRC Human Genetics Unit at the Medical Research Council Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Anne B Newman
- Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Dale R Nyholt
- Queensland Institute of Medical Research, Brisbane, Australia
| | - N. Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Aarno Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
- Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - Guillaume Paré
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston USA
- Harvard Medical School, Boston, USA
- Genetic and Molecular Epidemiology Laboratory, McMaster University, Hamilton, ON Canada
| | - Alex N Parker
- Amgen, Cambridge, MA USA
- Foundation Medicine, Inc., Cambridge MA USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Petra HM Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Andrew S Plump
- Cardiovascular Disease, Merck Research Laboratory, Rahway, NJ, USA
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Split, Croatia
| | - Victor JM Pop
- Department of Clinical Health Psychology, University of Tilburg, Tilburg, the Netherlands
| | - Bruce M Psaty
- Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA USA
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Emil Rehnberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jerome I Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Igor Rudan
- Faculty of Medicine, University of Split, Split, Croatia
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Andres Salumets
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Department of Obstetrics and Gynecology, University of Tartu, Tartu, Estonia
- Competence Centre on Reproductive Medicine and Biology, Tartu, Estonia
| | | | - Andrew Singleton
- Laboratory of Neurogenetics, National Institute of Ageing, Bethesda, MD, USA
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, the Netherlands
- LifeLines Cohort Study & Biobank, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Nicole Soranzo
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
- Geriatric Medicine Unit, University of Edinburgh, Edinburgh, UK
| | - Maria G Stathopoulou
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
- Cardiovascular Genetics Research Unit, EA4373, Université Henri Poincaré - Nancy 1, Nancy, France
| | - Kathleen Stirrups
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Ronald P Stolk
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, the Netherlands
- LifeLines Cohort Study & Biobank, University Medical Center Groningen, University of Groningen, the Netherlands
| | | | - Yan V Sun
- Department of Epidemiology, Emory University, Atlanta, GA, USA
| | - Albert Tenesa
- MRC Human Genetics Unit at the Medical Research Council Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital, Edinburgh, UK
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Roslin, UK
| | - Barbara Thorand
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
- Institute of Molecular Genetics-CNR, Pavia, Italy
| | - Laufey Tryggvadottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Icelandic Cancer Registry, Reykjavik, Iceland
| | | | - Sheila Ulivi
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo” Trieste, Italy
| | - Rob M van Dam
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
- Saw Swee Hock School of Public Health and Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Carla H van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Peter van Nierop
- Municipal Health Service Brabant-Zuidoost, Helmond, the Netherlands
| | - Jacqueline M Vink
- Dept Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Peter M Visscher
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia
| | - Marlies Voorhuis
- Department of Reproductive Medicine and Gynaecology, University Medical Center Utrecht, Utrecht, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Gérard Waeber
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), University Hospital, Lausanne, Switzerland
| | - Henri Wallaschofski
- Institute for Clinical Chemistry and Laboratory Medicine, University of Greifswald
| | - H Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Grosshadern, Munich, Germany
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
| | | | - Gonneke Willemsen
- Dept Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - James F Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Bruce HR Wolffenbuttel
- LifeLines Cohort Study & Biobank, University Medical Center Groningen, University of Groningen, the Netherlands
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Alan F Wright
- MRC Human Genetics Unit at the Medical Research Council Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Laura M Yerges-Armstrong
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | | | - Lina Zgaga
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
- Andrija Stampar School of Public Health, Medical School, University of Zagreb, Zagreb, Croatia
| | | | - Marek Zygmunt
- Klinik für Gynäkologie und Geburtshilfe, Universität Greifswald, Germany
| | - The LifeLines Cohort Study
- LifeLines Cohort Study & Biobank, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Alice M Arnold
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Dorret I Boomsma
- Dept Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
- EMGO+ Institute, VU Medical Centre, Amsterdam, The Netherlands
| | - Julie E. Buring
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston USA
- Harvard Medical School, Boston, USA
- Harvard School of Public Health, Boston, MA USA
| | - Laura Crisponi
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
- Channing Laboratory, Department of Medicine, Brigham and Women.s Hospital Harvard Medical School, Boston, Massachusetts, USA
| | - David J Hunter
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, USA
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
- Channing Laboratory, Department of Medicine, Brigham and Women.s Hospital Harvard Medical School, Boston, Massachusetts, USA
| | - Lenore J Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Estonian Biocenter, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
- Competence Centre on Reproductive Medicine and Biology, Tartu, Estonia
| | | | - Ben A Oostra
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston USA
- Harvard Medical School, Boston, USA
- Harvard School of Public Health, Boston, MA USA
- Division of Cardiology, Brigham and Women’s Hospital, Boston, MA USA
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | - David Schlessinger
- National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Kari Stefansson
- deCODE Genetics, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Elizabeth A Streeten
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Manuela Uda
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Cagliari, Italy
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
- Netherlands Consortium of Healthy Aging, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Henry Völzke
- Institut für Community Medicine, Universität Greifswald, Germany
| | - Anna Murray
- Peninsula Medical School, University of Exeter, UK
| | - Joanne M Murabito
- Sections of General Internal Medicine, Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston MA, USA
- NHLBI Framingham Heart Study, Framingham, MA, USA
| | - Jenny A Visser
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston Massachusetts, USA
- NHLBI Framingham Heart Study, Framingham, MA, USA
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O'Donnell PH, Stark AL, Gamazon ER, Wheeler HE, McIlwee BE, Gorsic L, Im HK, Huang RS, Cox NJ, Dolan ME. Identification of novel germline polymorphisms governing capecitabine sensitivity. Cancer 2012; 118:4063-73. [PMID: 22864933 DOI: 10.1002/cncr.26737] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2011] [Revised: 10/05/2011] [Accepted: 10/07/2011] [Indexed: 11/11/2022]
Abstract
BACKGROUND Capecitabine, an oral 5-fluorouracil (5-FU) prodrug, is widely used in the treatment of breast, colorectal, and gastric cancers. To guide the selection of patients with potentially the greatest benefit of experiencing antitumor efficacy, or, alternatively, of developing toxicities, identifying genomic predictors of capecitabine sensitivity could permit its more informed use. METHODS The objective of this study was to perform capecitabine sensitivity genome-wide association studies (GWAS) using 503 well genotyped human cell lines from individuals representing multiple different world populations. A meta-analysis that included all ethnic populations then enabled the identification of novel germline determinants (single nucleotide polymorphisms [SNPs]) of capecitabine susceptibility. RESULTS First, an intrapopulation GWAS of Caucasian individuals identified reference SNP 4702484 (rs4702484) (within adenylate cyclase 2 [ADCY2]) at a level reaching genome-wide significance (P = 5.2 × 10(-8) ). This SNP is located upstream of the 5 methyltetrahydrofolate-homocysteine methyltransferase reductase (MTRR) gene, and it is known that the enzyme for MTRR is involved in the methionine-folate biosynthesis and metabolism pathway, which is the primary target of 5-FU-related compounds, although the authors were unable to identify a direct relation between rs4702484 and MTRR expression in a tested subset of cells. In the meta-analysis, 4 SNPs comprised the top hits, which, again, included rs4702484 and 3 additional SNPs (rs8101143, rs576523, and rs361433) that approached genome-wide significance (P values from 1.9 × 10(-7) to 8.8 × 10(-7) ). The meta-analysis also identified 1 missense variant (rs11722476; serine to asparagine) within switch/sucrose nonfermentable-related, matrix-associated, actin-dependent regulator of chromatin (SMARCAD1), a novel gene for association with capecitabine/5-FU susceptibility. CONCLUSIONS Toward the goal of individualizing cancer chemotherapy, the current study identified novel SNPs and genes associated with capecitabine sensitivity that are potentially informative and testable in any patient regardless of ethnicity.
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Affiliation(s)
- Peter H O'Donnell
- Section of Hematology-Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois, USA
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3693
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Silveira-Neto AP, Leal LF, Emerman AB, Henderson KD, Piskounova E, Henderson BE, Gregory RI, Gontijo Silveira LF, Hirschhorn JN, Nguyen TT, Beneduzzi D, Tusset C, Reis ACS, Brito VN, Mendonça BB, Palmert MR, Antonini SR, Latronico AC. Absence of functional LIN28B mutations in a large cohort of patients with idiopathic central precocious puberty. Horm Res Paediatr 2012; 78:144-50. [PMID: 22964795 PMCID: PMC3526815 DOI: 10.1159/000342212] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2012] [Accepted: 07/24/2012] [Indexed: 01/27/2023] Open
Abstract
AIM To investigate LIN28B gene variants in children with idiopathic central precocious puberty (CPP). PATIENTS AND METHODS We studied 178 Brazilian children with CPP (171 girls, 16.8% familial cases). A large multiethnic group (1,599 subjects; Multiethnic Cohort, MEC) was used as control. DNA analysis and biochemical in vitro studies were performed. RESULTS A heterozygous LIN28B variant, p.H199R, was identified in a girl who developed CPP at 5.2 years. This variant was absent in 310 Brazilian control individuals, but it was found in the same allele frequency in women from the MEC cohort, independent of the age of menarche. Functional studies revealed that when ectopically expressed in cells, the mutant protein was capable of binding pre-let-7 microRNA and inhibiting let-7 expression to the same extent as wild-type Lin28B protein. Other rare LIN28B variants (p.P173P, c.198+ 32_33delCT, g.9575731A>C and c.-11C>T) were identified in CPP patients and controls. Therefore, no functional mutation was identified. CONCLUSION In vitro studies revealed that the rare LIN28B p.H199R variant identified in a girl with CPP does not affect the Lin28B function in the regulation of let-7 expression. Although LIN28B SNPs were associated with normal pubertal timing, rare variations in this gene do not seem to be commonly involved in the molecular pathogenesis of CPP.
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Affiliation(s)
- Acácio P. Silveira-Neto
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular/ LIM42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brasil (A.P.S-N., L.F.G.S., D.B., C.T, V.N.B., B.B.M., A.C.L.)
| | - Leticia Ferro Leal
- Departamento de Puericultura e Pediatria, Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, Brasil (L.F.L., A.C. S.R., S.A.)
| | - Amy B. Emerman
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Harvard Stem Cell Institute, The Stem Cell Program at Children’s Hospital, Boston, USA. MA 02115 (A.B.E., E.P., R.I.G.)
| | - Katherine D. Henderson
- Department of Population Sciences, City of Hope National Medical Center, Duarte, CA 91010 USA (K.D.H.)
| | - Elena Piskounova
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Harvard Stem Cell Institute, The Stem Cell Program at Children’s Hospital, Boston, USA. MA 02115 (A.B.E., E.P., R.I.G.)
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089 (B.H.A.)
| | - Richard I. Gregory
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Harvard Stem Cell Institute, The Stem Cell Program at Children’s Hospital, Boston, USA. MA 02115 (A.B.E., E.P., R.I.G.)
| | - Letícia F. Gontijo Silveira
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular/ LIM42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brasil (A.P.S-N., L.F.G.S., D.B., C.T, V.N.B., B.B.M., A.C.L.)
| | - Joel N. Hirschhorn
- Department of Genetics, Harvard Medical School, Boston, MA, USA 02115 (J.N.H.),Division of Genetics and Center for Basic and Translational Obesity Research, Children’s Hospital Boston, Boston, MA, USA02115 (J.N.H., T.T.N.),Division of Endocrinology, Children’s Hospital Boston, Boston, MA, USA 021154. Broad Institute (J.N.H.),Cambridge Center, Cambridge, MA, USA 02142 (J.N.H., T.T.N.)
| | - Thutrang T. Nguyen
- Division of Genetics and Center for Basic and Translational Obesity Research, Children’s Hospital Boston, Boston, MA, USA02115 (J.N.H., T.T.N.),Cambridge Center, Cambridge, MA, USA 02142 (J.N.H., T.T.N.)
| | - Daiane Beneduzzi
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular/ LIM42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brasil (A.P.S-N., L.F.G.S., D.B., C.T, V.N.B., B.B.M., A.C.L.)
| | - Cintia Tusset
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular/ LIM42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brasil (A.P.S-N., L.F.G.S., D.B., C.T, V.N.B., B.B.M., A.C.L.)
| | - Ana Claudia S. Reis
- Departamento de Puericultura e Pediatria, Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, Brasil (L.F.L., A.C. S.R., S.A.)
| | - Vinicius N. Brito
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular/ LIM42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brasil (A.P.S-N., L.F.G.S., D.B., C.T, V.N.B., B.B.M., A.C.L.)
| | - Berenice B. Mendonça
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular/ LIM42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brasil (A.P.S-N., L.F.G.S., D.B., C.T, V.N.B., B.B.M., A.C.L.)
| | - Mark R Palmert
- Division of Endocrinology, The Hospital for Sick Children and The University of Toronto, Toronto, Ontario, Canada, M5N2L3 (M.R.P.)
| | - Sonir R Antonini
- Departamento de Puericultura e Pediatria, Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, Brasil (L.F.L., A.C. S.R., S.A.)
| | - Ana Claudia Latronico
- Unidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular/ LIM42, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brasil (A.P.S-N., L.F.G.S., D.B., C.T, V.N.B., B.B.M., A.C.L.)
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3694
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Mok K, Traynor BJ, Schymick J, Tienari PJ, Laaksovirta H, Peuralinna T, Myllykangas L, Chiò A, Shatunov A, Boeve BF, Boxer AL, DeJesus-Hernandez M, Mackenzie IR, Waite A, Williams N, Morris HR, Simón-Sánchez J, van Swieten JC, Heutink P, Restagno G, Mora G, Morrison KE, Shaw PJ, Rollinson PS, Al-Chalabi A, Rademakers R, Pickering-Brown S, Orrell RW, Nalls MA, Hardy J. Chromosome 9 ALS and FTD locus is probably derived from a single founder. Neurobiol Aging 2012; 33:209.e3-8. [PMID: 21925771 PMCID: PMC3312749 DOI: 10.1016/j.neurobiolaging.2011.08.005] [Citation(s) in RCA: 104] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2011] [Revised: 08/12/2011] [Accepted: 08/12/2011] [Indexed: 12/12/2022]
Abstract
We and others have recently reported an association between amyotrophic lateral sclerosis (ALS) and single nucleotide polymorphisms on chromosome 9p21 in several populations. Here we show that the associated haplotype is the same in all populations and that several families previously shown to have genetic linkage to this region also share this haplotype. The most parsimonious explanation of these data are that there is a single founder for this form of disease.
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Affiliation(s)
- Kin Mok
- Reta Lila Weston Research Laboratories, Departments of Molecular Neuroscience and of Clinical Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - Bryan J. Traynor
- Molecular Genetics Section and Neuromuscular Diseases Research Group, Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Jennifer Schymick
- Molecular Genetics Section and Neuromuscular Diseases Research Group, Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Pentti J. Tienari
- Helsinki University Central Hospital, Department of Neurology, Molecular Neurology Research Program, Biomedicum, University of Helsinki, Helsinki, Finland
| | - Hannu Laaksovirta
- Molecular Genetics Section and Neuromuscular Diseases Research Group, Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD, USA
- Helsinki University Central Hospital, Department of Neurology, Molecular Neurology Research Program, Biomedicum, University of Helsinki, Helsinki, Finland
| | - Terhi Peuralinna
- Helsinki University Central Hospital, Department of Neurology, Molecular Neurology Research Program, Biomedicum, University of Helsinki, Helsinki, Finland
| | - Liisa Myllykangas
- Department of Pathology, Haartman Institute, University of Helsinki and HUSLAB, and Folkhalsan Institute of Genetics, Helsinki, Finland
| | - Adriano Chiò
- Department of Neuroscience, University of Turin, and Azienda Ospedaliera Universitaria San Giovanni Battista, Turin, Italy
| | - Aleksey Shatunov
- Medical Research Council Centre for Neurodegeneration Research, King's College London, Institute of Psychiatry, London, UK
| | | | - Adam L. Boxer
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | | | - Ian R. Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Adrian Waite
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of Medicine, Cardiff, UK
| | - Nigel Williams
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of Medicine, Cardiff, UK
| | - Huw R. Morris
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of Medicine, Cardiff, UK
| | - Javier Simón-Sánchez
- Department of Clinical Genetics, Section of Medical Genomics, VU University Medical Centre, Amsterdam, The Netherlands
| | - John C. van Swieten
- Department of Clinical Genetics, Section of Medical Genomics, VU University Medical Centre, Amsterdam, The Netherlands
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Peter Heutink
- Department of Clinical Genetics, Section of Medical Genomics, VU University Medical Centre, Amsterdam, The Netherlands
| | - Gabriella Restagno
- Molecular Genetics Laboratory, Azienda Ospedaliera OIRM-Sant'Anna, Turin, Italy
| | - Gabriele Mora
- Fondazione Salvatore Mangeri, IRCCS Scientific Institute of Milan, Milan, Italy
| | - Karen E. Morrison
- School of Clinical and Experimental Medicine, University of Birmingham, and Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Pamela J. Shaw
- The Sheffield Institute for Translational Neuroscience (SITraN, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Pamela Sara Rollinson
- Neurodegeneration and Mental Health Research Group, Faculty of Human and Medical Sciences, University of Manchester, Manchester, UK
| | - Ammar Al-Chalabi
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of Medicine, Cardiff, UK
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Stuart Pickering-Brown
- Neurodegeneration and Mental Health Research Group, Faculty of Human and Medical Sciences, University of Manchester, Manchester, UK
| | - Richard W. Orrell
- Reta Lila Weston Research Laboratories, Departments of Molecular Neuroscience and of Clinical Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - Michael A. Nalls
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - John Hardy
- Reta Lila Weston Research Laboratories, Departments of Molecular Neuroscience and of Clinical Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
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3695
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Grallert H, Dupuis J, Bis JC, Dehghan A, Barbalic M, Baumert J, Lu C, Smith NL, Uitterlinden AG, Roberts R, Khuseyinova N, Schnabel RB, Rice KM, Rivadeneira F, Hoogeveen RC, Fontes JD, Meisinger C, Keaney JF, Lemaitre R, Aulchenko YS, Vasan RS, Ellis S, Hazen SL, van Duijn CM, Nelson JJ, März W, Schunkert H, McPherson RM, Stirnadel-Farrant HA, Psaty BM, Gieger C, Siscovick D, Hofman A, Illig T, Cushman M, Yamamoto JF, Rotter JI, Larson MG, Stewart AF, Boerwinkle E, Witteman JC, Tracy RP, Koenig W, Benjamin EJ, Ballantyne CM. Eight genetic loci associated with variation in lipoprotein-associated phospholipase A2 mass and activity and coronary heart disease: meta-analysis of genome-wide association studies from five community-based studies. Eur Heart J 2012; 33:238-51. [PMID: 22003152 PMCID: PMC3258449 DOI: 10.1093/eurheartj/ehr372] [Citation(s) in RCA: 74] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2010] [Revised: 08/16/2011] [Accepted: 09/09/2011] [Indexed: 12/20/2022] Open
Abstract
AIMS Lipoprotein-associated phospholipase A2 (Lp-PLA2) generates proinflammatory and proatherogenic compounds in the arterial vascular wall and is a potential therapeutic target in coronary heart disease (CHD). We searched for genetic loci related to Lp-PLA2 mass or activity by a genome-wide association study as part of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. METHODS AND RESULTS In meta-analyses of findings from five population-based studies, comprising 13 664 subjects, variants at two loci (PLA2G7, CETP) were associated with Lp-PLA2 mass. The strongest signal was at rs1805017 in PLA2G7 [P = 2.4 × 10(-23), log Lp-PLA2 difference per allele (beta): 0.043]. Variants at six loci were associated with Lp-PLA2 activity (PLA2G7, APOC1, CELSR2, LDL, ZNF259, SCARB1), among which the strongest signals were at rs4420638, near the APOE-APOC1-APOC4-APOC2 cluster [P = 4.9 × 10(-30); log Lp-PLA2 difference per allele (beta): -0.054]. There were no significant gene-environment interactions between these eight polymorphisms associated with Lp-PLA2 mass or activity and age, sex, body mass index, or smoking status. Four of the polymorphisms (in APOC1, CELSR2, SCARB1, ZNF259), but not PLA2G7, were significantly associated with CHD in a second study. CONCLUSION Levels of Lp-PLA2 mass and activity were associated with PLA2G7, the gene coding for this protein. Lipoprotein-associated phospholipase A2 activity was also strongly associated with genetic variants related to low-density lipoprotein cholesterol levels.
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Affiliation(s)
- Harald Grallert
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - Josée Dupuis
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, WA, USA
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
| | - Maja Barbalic
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jens Baumert
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - Chen Lu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center of the Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Robert Roberts
- John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Natalie Khuseyinova
- Department of Internal Medicine II–Cardiology, University of Ulm Medical Center, Albert-Einstein-Allee 23, Ulm D-89081, Germany
| | - Renate B. Schnabel
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
| | - Kenneth M. Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ron C. Hoogeveen
- Division of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Methodist DeBakey Heart and Vascular Center, 6565 Fannin, MS A-601, Houston, TX, USA
| | - João Daniel Fontes
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
- Section of Preventive Medicine and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Christa Meisinger
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - John F. Keaney
- Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Rozenn Lemaitre
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, WA, USA
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ramachandran S. Vasan
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
| | | | | | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
| | - Jeanenne J. Nelson
- Worldwide Epidemiology, GlaxoSmithKline, Research Triangle Park, NC, USA
| | - Winfried März
- Synlab Center of Laboratory Diagnostics Heidelberg, Heidelberg, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
- Institute of Public Health, Social and Preventive Medicine, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | | | - Ruth M. McPherson
- John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | | | - Bruce M. Psaty
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
| | - Christian Gieger
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - David Siscovick
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
| | - Thomas Illig
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
- Ludwig-Maximilians University Munich, Institute of Medical Data Management, Biometrics and Epidemiology, Chair of Epidemiology, Munich, Germany
| | - Mary Cushman
- Department of Medicine, University of Vermont, Burlington, VT, USA
| | - Jennifer F. Yamamoto
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
| | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Martin G. Larson
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
| | - Alexandre F.R. Stewart
- John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jacqueline C.M. Witteman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Member of the Netherlands Consortium on Healthy Aging (NCHA), Leiden, The Netherlands
| | - Russell P. Tracy
- Department of Pathology, University of Vermont College of Medicine, Burlington, VT, USA
- Department of Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Wolfgang Koenig
- Department of Internal Medicine II–Cardiology, University of Ulm Medical Center, Albert-Einstein-Allee 23, Ulm D-89081, Germany
| | - Emelia J. Benjamin
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, 73 Mount Wayte Ave. Suite 2, Framingham, MA, USA
- Section of Preventive Medicine and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Christie M. Ballantyne
- Division of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Methodist DeBakey Heart and Vascular Center, 6565 Fannin, MS A-601, Houston, TX, USA
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3696
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Salvi E, Kutalik Z, Glorioso N, Benaglio P, Frau F, Kuznetsova T, Arima H, Hoggart C, Tichet J, Nikitin YP, Conti C, Seidlerova J, Tikhonoff V, Stolarz-Skrzypek K, Johnson T, Devos N, Zagato L, Guarrera S, Zaninello R, Calabria A, Stancanelli B, Troffa C, Thijs L, Rizzi F, Simonova G, Lupoli S, Argiolas G, Braga D, D'Alessio MC, Ortu MF, Ricceri F, Mercurio M, Descombes P, Marconi M, Chalmers J, Harrap S, Filipovsky J, Bochud M, Iacoviello L, Ellis J, Stanton AV, Laan M, Padmanabhan S, Dominiczak AF, Samani NJ, Melander O, Jeunemaitre X, Manunta P, Shabo A, Vineis P, Cappuccio FP, Caulfield MJ, Matullo G, Rivolta C, Munroe PB, Barlassina C, Staessen JA, Beckmann JS, Cusi D. Genomewide association study using a high-density single nucleotide polymorphism array and case-control design identifies a novel essential hypertension susceptibility locus in the promoter region of endothelial NO synthase. Hypertension 2011; 59:248-55. [PMID: 22184326 DOI: 10.1161/hypertensionaha.111.181990] [Citation(s) in RCA: 124] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Essential hypertension is a multifactorial disorder and is the main risk factor for renal and cardiovascular complications. The research on the genetics of hypertension has been frustrated by the small predictive value of the discovered genetic variants. The HYPERGENES Project investigated associations between genetic variants and essential hypertension pursuing a 2-stage study by recruiting cases and controls from extensively characterized cohorts recruited over many years in different European regions. The discovery phase consisted of 1865 cases and 1750 controls genotyped with 1M Illumina array. Best hits were followed up in a validation panel of 1385 cases and 1246 controls that were genotyped with a custom array of 14 055 markers. We identified a new hypertension susceptibility locus (rs3918226) in the promoter region of the endothelial NO synthase gene (odds ratio: 1.54 [95% CI: 1.37-1.73]; combined P=2.58 · 10(-13)). A meta-analysis, using other in silico/de novo genotyping data for a total of 21 714 subjects, resulted in an overall odds ratio of 1.34 (95% CI: 1.25-1.44; P=1.032 · 10(-14)). The quantitative analysis on a population-based sample revealed an effect size of 1.91 (95% CI: 0.16-3.66) for systolic and 1.40 (95% CI: 0.25-2.55) for diastolic blood pressure. We identified in silico a potential binding site for ETS transcription factors directly next to rs3918226, suggesting a potential modulation of endothelial NO synthase expression. Biological evidence links endothelial NO synthase with hypertension, because it is a critical mediator of cardiovascular homeostasis and blood pressure control via vascular tone regulation. This finding supports the hypothesis that there may be a causal genetic variation at this locus.
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Affiliation(s)
- Erika Salvi
- Department of Medicine, Surgery, and Dentistry, Graduate School of Nephrology, University of Milano, Division of Nephrology, San Paolo Hospital, Milano, Viale Ortles 22/4, 20139 Milano, Italy
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3697
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Ellinghaus E, Stuart PE, Ellinghaus D, Nair RP, Debrus S, Raelson JV, Belouchi M, Tejasvi T, Li Y, Tsoi LC, Onken AT, Esko T, Metspalu A, Rahman P, Gladman DD, Bowcock AM, Helms C, Krueger GG, Koks S, Kingo K, Gieger C, Wichmann HE, Mrowietz U, Weidinger S, Schreiber S, Abecasis GR, Elder JT, Weichenthal M, Franke A. Genome-wide meta-analysis of psoriatic arthritis identifies susceptibility locus at REL. J Invest Dermatol 2011; 132:1133-40. [PMID: 22170493 PMCID: PMC3305829 DOI: 10.1038/jid.2011.415] [Citation(s) in RCA: 92] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Psoriatic arthritis (PsA) is a chronic inflammatory musculoskeletal disease affecting up to 30% of psoriasis vulgaris (PsV) cases and approximately 0.25% to 1% of the general population. To identify common susceptibility loci, we performed a meta-analysis of three imputed genome-wide association studies (GWAS) on psoriasis, stratified for PsA. A total of 1,160,703 SNPs were analyzed in the discovery set consisting of 535 PsA cases and 3,432 controls from Germany, the United States and Canada. We followed up two SNPs in 1,931 PsA cases and 6,785 controls comprising six independent replication panels from Germany, Estonia, the United States and Canada. In the combined analysis, a genome-wide significant association was detected at 2p16 near the REL locus encoding c-Rel (rs13017599, P=1.18×10−8, OR=1.27, 95% CI=1.18–1.35). The rs13017599 polymorphism is known to associate with rheumatoid arthritis (RA), and another SNP near REL (rs702873) was recently implicated in PsV susceptibility. However, conditional analysis indicated that rs13017599, rather than rs702873, accounts for the PsA association at REL. We hypothesize that c-Rel, as a member of the Rel/NF-κB family, is associated with PsA in the context of disease pathways that involve other identified PsA and PsV susceptibility genes including TNIP1, TNFAIP3 and NFκBIA.
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Affiliation(s)
- Eva Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, Kiel, Germany.
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3698
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Dauber A, Yu Y, Turchin M, Chiang C, Meng Y, Demerath E, Patel S, Rich S, Rotter J, Schreiner P, Wilson J, Shen Y, Wu BL, Hirschhorn J. Genome-wide association of copy-number variation reveals an association between short stature and the presence of low-frequency genomic deletions. Am J Hum Genet 2011; 89:751-9. [PMID: 22118881 PMCID: PMC3234379 DOI: 10.1016/j.ajhg.2011.10.014] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2011] [Revised: 10/26/2011] [Accepted: 10/28/2011] [Indexed: 10/15/2022] Open
Abstract
Height is a model polygenic trait that is highly heritable. Genome-wide association studies have identified hundreds of single-nucleotide polymorphisms associated with stature, but the role of structural variation in determining height is largely unknown. We performed a genome-wide association study of copy-number variation and stature in a clinical cohort of children who had undergone comparative genomic hybridization (CGH) microarray analysis for clinical indications. We found that subjects with short stature had a greater global burden of copy-number variants (CNVs) and a greater average CNV length than did controls (p < 0.002). These associations were present for lower-frequency (<5%) and rare (<1%) deletions, but there were no significant associations seen for duplications. Known gene-deletion syndromes did not account for our findings, and we saw no significant associations with tall stature. We then extended our findings into a population-based cohort and found that, in agreement with the clinical cohort study, an increased burden of lower-frequency deletions was associated with shorter stature (p = 0.015). Our results suggest that in individuals undergoing copy-number analysis for clinical indications, short stature increases the odds that a low-frequency deletion will be found. Additionally, copy-number variation might contribute to genetic variation in stature in the general population.
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Affiliation(s)
- Andrew Dauber
- Division of Endocrinology, Children's Hospital Boston, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141, USA
- Clinical Investigator Training Program, Beth Israel Deaconess Medical Center, Harvard Medical School, in collaboration with Pfizer Inc. and Merck & Co., Boston, MA 02115, USA
| | - Yongguo Yu
- Shanghai Children's Medical Center, Jiaotong University, Shanghai 200127, China
- Department of Laboratory Medicine, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA
| | - Michael C. Turchin
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141, USA
- Metabolism Program, Broad Institute, Cambridge, MA 02141, USA
- Division of Genetics, Children's Hospital Boston, Boston, MA 02115, USA
- Center for Basic and Translational Obesity Research, Children's Hospital Boston, Boston, MA 02115, USA
| | - Charleston W. Chiang
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141, USA
- Metabolism Program, Broad Institute, Cambridge, MA 02141, USA
- Division of Genetics, Children's Hospital Boston, Boston, MA 02115, USA
- Center for Basic and Translational Obesity Research, Children's Hospital Boston, Boston, MA 02115, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Yan A. Meng
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141, USA
- Metabolism Program, Broad Institute, Cambridge, MA 02141, USA
| | - Ellen W. Demerath
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Sanjay R. Patel
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | | | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Yiping Shen
- Shanghai Children's Medical Center, Jiaotong University, Shanghai 200127, China
- Department of Laboratory Medicine, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA
| | - Bai-Lin Wu
- Department of Laboratory Medicine, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA
- Children's Hospital, Fudan University, Shanghai 200032, China
- Institutes of Biomedical Science, Fudan University, Shanghai 200032, China
| | - Joel N. Hirschhorn
- Division of Endocrinology, Children's Hospital Boston, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141, USA
- Metabolism Program, Broad Institute, Cambridge, MA 02141, USA
- Division of Genetics, Children's Hospital Boston, Boston, MA 02115, USA
- Center for Basic and Translational Obesity Research, Children's Hospital Boston, Boston, MA 02115, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
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3699
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Fuchsberger C, Taliun D, Pramstaller PP, Pattaro C. GWAtoolbox: an R package for fast quality control and handling of genome-wide association studies meta-analysis data. ACTA ACUST UNITED AC 2011; 28:444-5. [PMID: 22155946 DOI: 10.1093/bioinformatics/btr679] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
SUMMARY The GWAtoolbox is an R package that standardizes and accelerates the handling of data from genome-wide association studies (GWAS), particularly in the context of large-scale GWAS meta-analyses. A key feature of GWAtoolbox is its ability to perform quality control (QC) of any number of files in a matter of minutes. The implemented workflow has been structured to check three particular data quality aspects: (i) data formatting, (ii) quality of the GWAS results and (iii) data consistency across studies. Output consists of an extensive list of quality statistics and plots which allow inspection of individual files and between-study comparison to identify systematic bias. AVAILABILITY http://www.eurac.edu/GWAtoolbox CONTACT cfuchsb@umich.edu; daniel.taliun@eurac.edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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3700
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Broderick P, Chubb D, Johnson DC, Weinhold N, Försti A, Lloyd A, Olver B, Ma Y, Dobbins SE, Walker BA, Davies FE, Gregory WA, Childs JA, Ross FM, Jackson GH, Neben K, Jauch A, Hoffmann P, Mühleisen TW, Nöthen MM, Moebus S, Tomlinson IP, Goldschmidt H, Hemminki K, Morgan GJ, Houlston RS. Common variation at 3p22.1 and 7p15.3 influences multiple myeloma risk. Nat Genet 2011; 44:58-61. [PMID: 22120009 PMCID: PMC5108406 DOI: 10.1038/ng.993] [Citation(s) in RCA: 130] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2011] [Accepted: 10/03/2011] [Indexed: 12/12/2022]
Abstract
To identify risk variants for multiple myeloma, we conducted a genome-wide association study of 1,675 individuals with multiple myeloma and 5,903 control subjects. We identified risk loci for multiple myeloma at 3p22.1 (rs1052501 in ULK4; odds ratio (OR) = 1.32; P = 7.47 × 10(-9)) and 7p15.3 (rs4487645, OR = 1.38; P = 3.33 × 10(-15)). In addition, we observed a promising association at 2p23.3 (rs6746082, OR = 1.29; P = 1.22 × 10(-7)). Our study identifies new genomic regions associated with multiple myeloma risk that may lead to new etiological insights.
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Affiliation(s)
- Peter Broderick
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Daniel Chubb
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - David C Johnson
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Asta Försti
- German Cancer Research Center, Heidelberg, Germany
| | - Amy Lloyd
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Bianca Olver
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Yussanne Ma
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Sara E Dobbins
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Brian A Walker
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - Faith E Davies
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | | | | | - Fiona M Ross
- Cytogenetics Group, Wessex Regional Cytogenetic Laboratory, Salisbury, UK
| | | | - Kai Neben
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Anna Jauch
- Institute of Human Genetics, University of Heidelberg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Germany
| | | | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Germany
| | - Ian P Tomlinson
- Molecular and Population Genetics, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- National Centre of Tumour Diseases, Heidelberg, Germany
| | - Kari Hemminki
- German Cancer Research Center, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmo, Sweden
| | - Gareth J Morgan
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - Richard S Houlston
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
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