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Application of genomics to toxicology research.
Author(s) -
Russell S. Thomas,
David R. Rank,
Sharron G. Penn,
Gina M. Zastrow,
Kevin Hayes,
Tianhua Hu,
Kalyan Pande,
Mark G. Lewis,
Stevan Jovanovich,
Christopher A. Bradfield
Publication year - 2002
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp.02110s6919
Subject(s) - computational biology , genomics , mechanism (biology) , toxicogenomics , biology , toxicology , data science , bioinformatics , computer science , gene , genetics , gene expression , genome , philosophy , epistemology
Traditional models of toxicity have relied on dissecting chemical action into pharmacokinetic and pharmacodynamic processes. However, the integration of genomic information with toxicology will enhance our basic understanding of these processes and significantly change the way we apply toxicological information to risk assessment and regulatory problems. In this article, we summarize the application of gene expression information and polymorphism discovery to four areas in toxicology: toxicity testing, cross-species extrapolation, understanding mechanism of action, and susceptibility.

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