skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Integrating mechanistic and polymorphism data to characterize human genetic susceptibility for environmental chemical risk assessment in the 21st century

Abstract

Response to environmental chemicals can vary widely among individuals and between population groups. In human health risk assessment, data on susceptibility can be utilized by deriving risk levels based on a study of a susceptible population and/or an uncertainty factor may be applied to account for the lack of information about susceptibility. Defining genetic susceptibility in response to environmental chemicals across human populations is an area of interest in the NAS' new paradigm of toxicity pathway-based risk assessment. Data from high-throughput/high content (HT/HC), including -omics (e.g., genomics, transcriptomics, proteomics, metabolomics) technologies, have been integral to the identification and characterization of drug target and disease loci, and have been successfully utilized to inform the mechanism of action for numerous environmental chemicals. Large-scale population genotyping studies may help to characterize levels of variability across human populations at identified target loci implicated in response to environmental chemicals. By combining mechanistic data for a given environmental chemical with next generation sequencing data that provides human population variation information, one can begin to characterize differential susceptibility due to genetic variability to environmental chemicals within and across genetically heterogeneous human populations. The integration of such data sources will be informative to human health risk assessment.

Authors:
 [1];  [2]
  1. Office of Research and Development, US Environmental Protection Agency, National Center for Computational Toxicology, US EPA, 109 TW Alexander Dr., Mailcode B205-01, Research Triangle Park, NC 27711 (United States)
  2. Office of Research and Development, US Environmental Protection Agency, National Center for Environmental Assessment, US EPA, 1200 Pennsylvania Ave., NW, Mail Code 8623P, Washington, DC 20460 (United States)
Publication Date:
OSTI Identifier:
22285388
Resource Type:
Journal Article
Journal Name:
Toxicology and Applied Pharmacology
Additional Journal Information:
Journal Volume: 271; Journal Issue: 3; Other Information: Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0041-008X
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; BIOTECHNOLOGY; DRUGS; GENETIC VARIABILITY; HUMAN POPULATIONS; INFORMATION SYSTEMS; PUBLIC HEALTH; RISK ASSESSMENT; TOXICITY; US EPA

Citation Formats

Mortensen, Holly M., E-mail: mortensen.holly@epa.gov, and Euling, Susan Y. Integrating mechanistic and polymorphism data to characterize human genetic susceptibility for environmental chemical risk assessment in the 21st century. United States: N. p., 2013. Web. doi:10.1016/J.TAAP.2011.01.015.
Mortensen, Holly M., E-mail: mortensen.holly@epa.gov, & Euling, Susan Y. Integrating mechanistic and polymorphism data to characterize human genetic susceptibility for environmental chemical risk assessment in the 21st century. United States. doi:10.1016/J.TAAP.2011.01.015.
Mortensen, Holly M., E-mail: mortensen.holly@epa.gov, and Euling, Susan Y. Sun . "Integrating mechanistic and polymorphism data to characterize human genetic susceptibility for environmental chemical risk assessment in the 21st century". United States. doi:10.1016/J.TAAP.2011.01.015.
@article{osti_22285388,
title = {Integrating mechanistic and polymorphism data to characterize human genetic susceptibility for environmental chemical risk assessment in the 21st century},
author = {Mortensen, Holly M., E-mail: mortensen.holly@epa.gov and Euling, Susan Y.},
abstractNote = {Response to environmental chemicals can vary widely among individuals and between population groups. In human health risk assessment, data on susceptibility can be utilized by deriving risk levels based on a study of a susceptible population and/or an uncertainty factor may be applied to account for the lack of information about susceptibility. Defining genetic susceptibility in response to environmental chemicals across human populations is an area of interest in the NAS' new paradigm of toxicity pathway-based risk assessment. Data from high-throughput/high content (HT/HC), including -omics (e.g., genomics, transcriptomics, proteomics, metabolomics) technologies, have been integral to the identification and characterization of drug target and disease loci, and have been successfully utilized to inform the mechanism of action for numerous environmental chemicals. Large-scale population genotyping studies may help to characterize levels of variability across human populations at identified target loci implicated in response to environmental chemicals. By combining mechanistic data for a given environmental chemical with next generation sequencing data that provides human population variation information, one can begin to characterize differential susceptibility due to genetic variability to environmental chemicals within and across genetically heterogeneous human populations. The integration of such data sources will be informative to human health risk assessment.},
doi = {10.1016/J.TAAP.2011.01.015},
journal = {Toxicology and Applied Pharmacology},
issn = {0041-008X},
number = 3,
volume = 271,
place = {United States},
year = {2013},
month = {9}
}