Pathway-based genome-wide association analysis of coronary heart disease identifies biologically important gene sets.

ABSTRACT: Genome-wide association (GWA) studies of complex diseases including coronary heart disease (CHD) challenge investigators attempting to identify relevant genetic variants among hundreds of thousands of markers being tested. A selection strategy based purely on statistical significance will result in many false negative findings after adjustment for multiple testing. Thus, an integrated analysis using information from the learned genetic pathways, molecular functions, and biological processes is desirable. In this study, we applied a customized method, variable set enrichment analysis (VSEA), to the Framingham Heart Study data (404,467 variants, n=6421) to evaluate enrichment of genetic association in 1395 gene sets for their contribution to CHD. We identified 25 gene sets with nominal P<0.0

SUBMITTER: de las Fuentes L 

PROVIDER: S-EPMC3477866 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature