Bias-reduced estimators and confidence intervals for odds ratios in genome-wide association studies.

ABSTRACT: Genome-wide association studies (GWAS) provide an important approach to identifying common genetic variants that predispose to human disease. A typical GWAS may genotype hundreds of thousands of single nucleotide polymorphisms (SNPs) located throughout the human genome in a set of cases and controls. Logistic regression is often used to test for association between a SNP genotype and case versus control status, with corresponding odds ratios (ORs) typically reported only for those SNPs meeting selection criteria. However, when these estimates are based on the original data used to detect the variant, the results are affected by a selection bias sometimes referred to the "winner's curse" (Capen and others, 1971). The actual genetic association is typically overestimated. We show that such s

SUBMITTER: Zhong H 

PROVIDER: S-EPMC2536726 | biostudies-literature | 2008 Oct

REPOSITORIES: biostudies-literature