Uncover disease genes by maximizing information flow in the phenome-interactome network.

ABSTRACT:

Motivation

Pinpointing genes that underlie human inherited diseases among candidate genes in susceptibility genetic regions is the primary step towards the understanding of pathogenesis of diseases. Although several probabilistic models have been proposed to prioritize candidate genes using phenotype similarities and protein-protein interactions, no combinatorial approaches have been proposed in the literature.

Results

We propose the first combinatorial approach for prioritizing candidate genes. We first construct a phenome-interactome network by integrating the given phenotype similarity profile, protein-protein interaction network and associations between diseases and genes. Then, we introduce a computational method called MAXIF to maximize the information flow in this net

SUBMITTER: Chen Y 

PROVIDER: S-EPMC3117332 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature