title: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.
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.
authors.affiliation: Departments of Medicine, Epidemiology, and Health Services, University of Wash, Seattle, USA. psaty@u.washington.edu
authors.forename: Bruce M
authors.initials: BM
authors.lastname: Psaty
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: O'Donnell
authors.forename: Vilmundur
authors.initials: V
authors.lastname: Gudnason
authors.forename: Kathryn L
authors.initials: KL
authors.lastname: Lunetta
authors.forename: Aaron R
authors.initials: AR
authors.lastname: Folsom
authors.forename: Jerome I
authors.initials: JI
authors.lastname: Rotter
authors.forename: André G
authors.initials: AG
authors.lastname: Uitterlinden
authors.forename: Tamara B
authors.initials: TB
authors.lastname: Harris
authors.forename: Jacqueline C M
authors.initials: JC
authors.lastname: Witteman
authors.forename: Eric
authors.initials: E
authors.lastname: Boerwinkle
mesh_terms: D000328:Adult; D000368:Aged; D000375:Aging / Q000235:genetics*; D015331:Cohort Studies; D005260:Female; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D005838:Genotype; D006331:Heart Diseases / Q000235:genetics*; D006801:Humans; D008297:Male; D015201:Meta-Analysis as Topic; D008875:Middle Aged; D010641:Phenotype; D012107:Research Design; D012307:Risk Factors