Comparative analysis of different approaches for dealing with candidate regions in the context of a genome-wide association study.

ABSTRACT: Genome-wide association studies (GWAS) test hundreds of thousands of single-nucleotide polymorphisms (SNPs) for association to a trait, treating each marker equally and ignoring prior evidence of association to specific regions. Typically, promising regions are selected for further investigation based on p-values obtained from simple tests of association. However, loci that exert only a weak, low-penetrant role on the trait, producing modest evidence of association, are not detectable in the context of a GWAS. Implementing prior knowledge of association in GWAS could increase power, help distinguish between false and true positives, and identify better sets of SNPs for follow-up studies.Here we performed a GWAS on rheumatoid arthritis (RA) patients and controls (Problem 1, Genetic Analysis

SUBMITTER: Lantieri F 

PROVIDER: S-EPMC2795997 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature