Cited by 599Genetic Associations and EpidemiologyCardiovascular Health and Risk FactorsGenetic Mapping and Diversity in Plants and Animals

Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of Prospective Meta-Analyses of Genome-Wide Association Studies From 5 Cohorts

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Psaty, Bruce M., O'Donnell, Christopher J., Gudnason, Vilmundur, Lunetta, Kathryn L., Folsom, Aaron R., Rotter, Jerome I., Uitterlinden, André G., Harris, Tamara B. +2 more·2009·Circulation: Cardiovascular Genetics

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.

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Authors
Psaty, B. M., O'Donnell, C. J., Gudnason, V., Lunetta, K. L., Folsom, A. R., Rotter, J. I., Uitterlinden, A. G., Harris, T. B., Witteman, J. C. M., & Boerwinkle, E.
Affiliations
  • Boston University (US)
  • From the Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services (B.M.P.), University of Wash; Center for Health Studies, Group Health (B.M.P.), Seattle, Wash; the National Heart, Lung and Blood Institute and the Framingham Heart Study (C.J.O.D.), Framingham, Mass; Icelandic Heart Association and the Department of Cardiovascular Genetics (Y.G.), University of Iceland, Reykjavik, Iceland; Department of Biostatistics (K.L.), Boston University School of Public...
Venue
Circulation: Cardiovascular Genetics
Published
2009-02
Volume
2
Issue
1
Pages
73-80
ISSN
  • 1942-325X (ISSN-L)
  • 1942-3268
OpenAlex
W2116831158
Cited by
599
References
26
Citations by year
2026: 11 · 2025: 23 · 2024: 35 · 2023: 26 · 2022: 38 · 2021: 31 · 2020: 22 · 2019: 35 · 2018: 37 · 2017: 39 · 2016: 54 · 2015: 31 · 2014: 49 · 2013: 40 · 2012: 34
FWCI
24.62
Type
journal article
Language
en
Open access
Locations
  • Circulation Cardiovascular Genetics (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
Funders
  • National Institutes of Health (n01hc085082-026, n01hc085081-021, n01hc045133-001, n01ag12100-57-0-2, n01hc085079-024, n01hc015103-009, n01hc085084-005, n01hc55021-47-0-1, n01hc085085-011, n01hc085083-027, n01hc55020-39-0-0, n01hc085080-026, n01hc55016-37-0-0, n01hc055022-024, n01hc085086-022, n01hc55019-35-0-1, n01hc55018-38-0-1, n01hc25195-41-0-1, n01hc55222-0-0-0, n02hl64278-6-0-0, n01hc075150-004, n01hc035129-010, n01hc55015-48-0-1)
  • U.S. Public Health Service (HHSN 268200625226C)
  • National Institute on Aging (AG-16495, N01-AG012100, AG08122, R01AG016495, R01AG008122)
  • National Heart, Lung, and Blood Institute (N01-HC55022, N01 HC085086, N01 HC055016, N01-HC-55018, N01 HC 55020, N01 HC085079, N01 HC085083, N01‐HC25195, N01 HC 55019, N01HC‐75150, N01 HC85086, N01 HC085080, R01HL087652, N01 HC055020, N01 HC035129, N02 HL064278, N02- HL-64278, N01 HC055018, N01 HC015103, N01 HC55222, N01 HC085085, N01-HC-025195, ­N01-HC55016, R01HL087641, N01 HC055022, N01HC085082, U01HL080295, N01 HC055019, N01 HC055222, N01 HC085081, N01‐HC‐55015, N01-HC55021, N01 HC075150, N01 HC055021, N01 HC085084, N01 HC055015, N01 HC045133, N01-HC85079)
  • National Human Genome Research Institute (U01HG004402)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P30DK063491)
  • National Institute of Neurological Disorders and Stroke (NS17950, R01NS017950)
  • National Center for Research Resources (UL1RR025005)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
CHARGE consortium, genome-wide association study, meta-analysis, replication, population-based cohort, genetic loci, cardiovascular risk factors, subclinical disease, aging, Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, Framingham Heart Study, Rotterdam Study
MeSH terms
Adult, Aged, Aging, Female, Genotype, Heart Diseases, Humans, Male, Middle Aged, Phenotype, Research Design, Risk Factors, Meta-Analysis as Topic, Cohort Studies, Genetic Predisposition to Disease, Genome-Wide Association Study

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