Guilt by rewiring: gene prioritization through network rewiring in genome wide association studies.

ABSTRACT: Although Genome Wide Association Studies (GWAS) have identified many susceptibility loci for common diseases, they only explain a small portion of heritability. It is challenging to identify the remaining disease loci because their association signals are likely weak and difficult to identify among millions of candidates. One potentially useful direction to increase statistical power is to incorporate functional genomics information, especially gene expression networks, to prioritize GWAS signals. Most current methods utilizing network information to prioritize disease genes are based on the 'guilt by association' principle, in which networks are treated as static, and disease-associated genes are assumed to locate closer with each other than random pairs in the network. In contrast, we pr

SUBMITTER: Hou L 

PROVIDER: S-EPMC3990172 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature