Determination of chemical-disease risk values to prioritize connections between environmental factors, genetic variants, and human diseases.

ABSTRACT: Traditional methods for chemical risk assessment are too time-consuming and resource-intensive to characterize either the diversity of chemicals to which humans are exposed or how that diversity may manifest in population susceptibility differences. The advent of novel toxicological data sources and their integration with bioinformatic databases affords opportunities for modern approaches that consider gene-environment (GxE) interactions in population risk assessment. Here, we present an approach that systematically links multiple data sources to relate chemical risk values to diseases and gene-disease variants. These data sources include high-throughput screening (HTS) results from Tox21/ToxCast, chemical-disease relationships from the Comparative Toxicogenomics Database (CTD), hazard dat

SUBMITTER: Kosnik MB 

PROVIDER: S-EPMC6708494 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature