Network statistics of genetically-driven gene co-expression modules in mouse crosses.

ABSTRACT: In biology, networks are used in different contexts as ways to represent relationships between entities, such as for instance interactions between genes, proteins or metabolites. Despite progress in the analysis of such networks and their potential to better understand the collective impact of genes on complex traits, one remaining challenge is to establish the biologic validity of gene co-expression networks and to determine what governs their organization. We used WGCNA to construct and analyze seven gene expression datasets from several tissues of mouse recombinant inbred strains (RIS). For six out of the 7 networks, we found that linkage to "module QTLs" (mQTLs) could be established for 29.3% of gene co-expression modules detected in the several mouse RIS. For about 74.6% of such genet

SUBMITTER: Scott-Boyer MP 

PROVIDER: S-EPMC3872724 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature