Predicting environmental chemical factors associated with disease-related gene expression data.

ABSTRACT:

Background

Many common diseases arise from an interaction between environmental and genetic factors. Our knowledge regarding environment and gene interactions is growing, but frameworks to build an association between gene-environment interactions and disease using preexisting, publicly available data has been lacking. Integrating freely-available environment-gene interaction and disease phenotype data would allow hypothesis generation for potential environmental associations to disease.

Methods

We integrated publicly available disease-specific gene expression microarray data and curated chemical-gene interaction data to systematically predict environmental chemicals associated with disease. We derived chemical-gene signatures for 1,338 chemical/environmental chemicals from

SUBMITTER: Patel CJ 

PROVIDER: S-EPMC2880288 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature