DmGWAS: dense module searching for genome-wide association studies in protein-protein interaction networks.

ABSTRACT:

Motivation

An important question that has emerged from the recent success of genome-wide association studies (GWAS) is how to detect genetic signals beyond single markers/genes in order to explore their combined effects on mediating complex diseases and traits. Integrative testing of GWAS association data with that from prior-knowledge databases and proteome studies has recently gained attention. These methodologies may hold promise for comprehensively examining the interactions between genes underlying the pathogenesis of complex diseases.

Methods

Here, we present a dense module searching (DMS) method to identify candidate subnetworks or genes for complex diseases by integrating the association signal from GWAS datasets into the human protein-protein interaction (PPI) netwo

SUBMITTER: Jia P 

PROVIDER: S-EPMC3008643 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature