Discovering genetic interactions bridging pathways in genome-wide association studies.

ABSTRACT: Genetic interactions have been reported to underlie phenotypes in a variety of systems, but the extent to which they contribute to complex disease in humans remains unclear. In principle, genome-wide association studies (GWAS) provide a platform for detecting genetic interactions, but existing methods for identifying them from GWAS data tend to focus on testing individual locus pairs, which undermines statistical power. Importantly, a global genetic network mapped for a model eukaryotic organism revealed that genetic interactions often connect genes between compensatory functional modules in a highly coherent manner. Taking advantage of this expected structure, we developed a computational approach called BridGE that identifies pathways connected by genetic interactions from GWAS data. App

SUBMITTER: Fang G 

PROVIDER: S-EPMC6753138 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature