Genome-wide pathogenesis interpretation using a heat diffusion-based systems genetics method and implications for gene function annotation.

ABSTRACT:

Background

Genetics is best dedicated to interpreting pathogenesis and revealing gene functions. The past decade has witnessed unprecedented progress in genetics, particularly in genome-wide identification of disorder variants through Genome-Wide Association Studies (GWAS) and Phenome-Wide Association Studies (PheWAS). However, it is still a great challenge to use GWAS/PheWAS-derived data to elucidate pathogenesis.

Methods

In this study, we used HotNet2, a heat diffusion-based systems genetics algorithm, to calculate the networks for disease genes obtained from GWAS and PheWAS, with an attempt to get deeper insights into disease pathogenesis at a molecular level.

Results

Through HotNet2 calculation, significant networks for 202 (for GWAS) and 167 (for PheWAS) types of

SUBMITTER: Quan Y 

PROVIDER: S-EPMC7549611 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature