Complex-disease networks of trait-associated single-nucleotide polymorphisms (SNPs) unveiled by information theory.

ABSTRACT:

Objective

Thousands of complex-disease single-nucleotide polymorphisms (SNPs) have been discovered in genome-wide association studies (GWAS). However, these intragenic SNPs have not been collectively mined to unveil the genetic architecture between complex clinical traits. The authors hypothesize that biological annotations of host genes of trait-associated SNPs may reveal the biomolecular modularity across complex-disease traits and offer insights for drug repositioning.

Methods

Trait-to-polymorphism (SNPs) associations confirmed in GWAS were used. A novel method to quantify trait-trait similarity anchored in Gene Ontology annotations of human proteins and information theory was developed. The results were then validated with the shortest paths of physical protein interacti

SUBMITTER: Li H 

PROVIDER: S-EPMC3277620 | biostudies-literature | 2012 Mar-Apr

REPOSITORIES: biostudies-literature