TY - JOUR T1 - The Next PAGE in understanding complex traits: design for the analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study. JF - Am J Epidemiol Y1 - 2011 A1 - Matise, Tara C A1 - Ambite, Jose Luis A1 - Buyske, Steven A1 - Carlson, Christopher S A1 - Cole, Shelley A A1 - Crawford, Dana C A1 - Haiman, Christopher A A1 - Heiss, Gerardo A1 - Kooperberg, Charles A1 - Marchand, Loic Le A1 - Manolio, Teri A A1 - North, Kari E A1 - Peters, Ulrike A1 - Ritchie, Marylyn D A1 - Hindorff, Lucia A A1 - Haines, Jonathan L KW - Epidemiologic Methods KW - Epidemiologic Research Design KW - Ethnic Groups KW - Genetic Association Studies KW - Genetics, Population KW - Genome-Wide Association Study KW - Humans KW - Interinstitutional Relations KW - Multifactorial Inheritance KW - National Human Genome Research Institute (U.S.) KW - Phenotype KW - Pilot Projects KW - Research Design KW - Risk Factors KW - United States AB -

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.

VL - 174 IS - 7 U1 - http://www.ncbi.nlm.nih.gov/pubmed/21836165?dopt=Abstract ER -