Interpreting joint SNP analysis results: when are two distinct signals really two distinct signals?

ABSTRACT: In genetic association studies, much effort has focused on moving beyond the initial single-nucleotide polymorphism (SNP)-by-SNP analysis. One approach is to reanalyze a chromosomal region where an association has been detected, jointly analyzing the SNP thought to best represent that association with each additional SNP in the region. Such joint analyses may help identify additional, statistically independent association signals. However, it is possible for a single genetic effect to produce joint SNP results that would typically be interpreted as two distinct effects (e.g., both SNPs are significant in the joint model). We present a general approach that can (1) identify conditions under which a single variant could produce a given joint SNP result, and (2) use these conditions to identi

SUBMITTER: Schwantes-An TH 

PROVIDER: S-EPMC3743534 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature