title: The Next PAGE in understanding complex traits: design for the analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study.
abstract: Genetic studies have identified thousands of variants associated with complex traits. However, most association studies are limited to populations of European descent and a single phenotype. The Population Architecture using Genomics and Epidemiology (PAGE) Study was initiated in 2008 by the National Human Genome Research Institute to investigate the epidemiologic architecture of well-replicated genetic variants associated with complex diseases in several large, ethnically diverse population-based studies. Combining DNA samples and hundreds of phenotypes from multiple cohorts, PAGE is well-suited to address generalization of associations and variability of effects in diverse populations; identify genetic and environmental modifiers; evaluate disease subtypes, intermediate phenotypes, and biomarkers; and investigate associations with novel phenotypes. PAGE investigators harmonize phenotypes across studies where possible and perform coordinated cohort-specific analyses and meta-analyses. PAGE researchers are genotyping thousands of genetic variants in up to 121,000 DNA samples from African-American, white, Hispanic/Latino, Asian/Pacific Islander, and American Indian participants. Initial analyses will focus on single nucleotide polymorphisms (SNPs) associated with obesity, lipids, cardiovascular disease, type 2 diabetes, inflammation, various cancers, and related biomarkers. PAGE SNPs are also assessed for pleiotropy using the "phenome-wide association study" approach, testing each SNP for associations with hundreds of phenotypes. PAGE data will be deposited into the National Center for Biotechnology Information's Database of Genotypes and Phenotypes and made available via a custom browser.
authors.affiliation: Department of Genetics, School of Arts and Sciences, Rutgers University, Piscataway, New Jersey, USA. matise@dls.rutgers.edu
authors.forename: Tara C
authors.initials: TC
authors.lastname: Matise
authors.forename: Jose Luis
authors.initials: JL
authors.lastname: Ambite
authors.forename: Steven
authors.initials: S
authors.lastname: Buyske
authors.forename: Christopher S
authors.initials: CS
authors.lastname: Carlson
authors.forename: Shelley A
authors.initials: SA
authors.lastname: Cole
authors.forename: Dana C
authors.initials: DC
authors.lastname: Crawford
authors.forename: Christopher A
authors.initials: CA
authors.lastname: Haiman
authors.forename: Gerardo
authors.initials: G
authors.lastname: Heiss
authors.forename: Charles
authors.initials: C
authors.lastname: Kooperberg
authors.forename: Loic Le
authors.initials: LL
authors.lastname: Marchand
authors.forename: Teri A
authors.initials: TA
authors.lastname: Manolio
authors.forename: Kari E
authors.initials: KE
authors.lastname: North
authors.forename: Ulrike
authors.initials: U
authors.lastname: Peters
authors.forename: Marylyn D
authors.initials: MD
authors.lastname: Ritchie
authors.forename: Lucia A
authors.initials: LA
authors.lastname: Hindorff
authors.forename: Jonathan L
authors.initials: JL
authors.lastname: Haines
mesh_terms: D004812:Epidemiologic Methods; D015340:Epidemiologic Research Design; D005006:Ethnicity / Q000235:genetics; D056726:Genetic Association Studies / Q000379:methods*; D005828:Genetics, Population; D055106:Genome-Wide Association Study; D006801:Humans; D007373:Interinstitutional Relations; D020412:Multifactorial Inheritance; D054560:National Human Genome Research Institute (U.S.); D010641:Phenotype; D010865:Pilot Projects; D012107:Research Design; D012307:Risk Factors; D014481:United States