Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.

TitleCohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.
Publication TypeJournal Article
Year of Publication2009
AuthorsPsaty, BM, O'Donnell, CJ, Gudnason, V, Lunetta, KL, Folsom, AR, Rotter, JI, Uitterlinden, AG, Harris, TB, Witteman, JCM, Boerwinkle, E
Corporate AuthorsCHARGE Consortium
JournalCirc Cardiovasc Genet
Volume2
Issue1
Pagination73-80
Date Published2009 Feb
ISSN1942-3268
KeywordsAdult, Aged, Aging, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Diseases, Humans, Male, Meta-Analysis as Topic, Middle Aged, Phenotype, Research Design, Risk Factors
Abstract

BACKGROUND: The primary aim of genome-wide association studies is to identify novel genetic loci associated with interindividual variation in the levels of risk factors, the degree of subclinical disease, or the risk of clinical disease. The requirement for large sample sizes and the importance of replication have served as powerful incentives for scientific collaboration. Methods- The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium was formed to facilitate genome-wide association studies meta-analyses and replication opportunities among multiple large population-based cohort studies, which collect data in a standardized fashion and represent the preferred method for estimating disease incidence. The design of the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium includes 5 prospective cohort studies from the United States and Europe: the Age, Gene/Environment Susceptibility-Reykjavik Study, the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study. With genome-wide data on a total of about 38 000 individuals, these cohort studies have a large number of health-related phenotypes measured in similar ways. For each harmonized trait, within-cohort genome-wide association study analyses are combined by meta-analysis. A prospective meta-analysis of data from all 5 cohorts, with a properly selected level of genome-wide statistical significance, is a powerful approach to finding genuine phenotypic associations with novel genetic loci.CONCLUSIONS: The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and collaborating non-member studies or consortia provide an excellent framework for the identification of the genetic determinants of risk factors, subclinical-disease measures, and clinical events.

DOI10.1161/CIRCGENETICS.108.829747
Alternate JournalCirc Cardiovasc Genet
PubMed ID20031568
PubMed Central IDPMC2875693
Grant ListN01HC55020 / HL / NHLBI NIH HHS / United States
UL1RR025005 / RR / NCRR NIH HHS / United States
N02-HL-6-4278 / HL / NHLBI NIH HHS / United States
N01-HC-25195 / HC / NHLBI NIH HHS / United States
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UL1 RR025005 / RR / NCRR NIH HHS / United States
R01 AG016495-09 / AG / NIA NIH HHS / United States
U01 HL080295 / HL / NHLBI NIH HHS / United States
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HHSN268200625226C / / PHS HHS / United States
U01 HG004402 / HG / NHGRI NIH HHS / United States
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R01 HL087652-02 / HL / NHLBI NIH HHS / United States
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NS17950 / NS / NINDS NIH HHS / United States
N01HC85086 / HL / NHLBI NIH HHS / United States
U01HG004402 / HG / NHGRI NIH HHS / United States
AG08122 / AG / NIA NIH HHS / United States
P30 DK063491-039004 / DK / NIDDK NIH HHS / United States
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/ / Intramural NIH HHS / United States
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R01HL087641 / HL / NHLBI NIH HHS / United States
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U01 HG004402-02 / HG / NHGRI NIH HHS / United States