Science Inventory

State-Of-The-Science Workshop Report: Issues And Approaches In Low Dose–Response Extrapolation For Environmental Health Risk Assessment

Citation:

White, R. H., I. L. COTE, L. Zeise, M. Fox, F. Dominici, T. A. Burke, P. WHITE, D. HATTIS, AND J. M. Sarnet. State-Of-The-Science Workshop Report: Issues And Approaches In Low Dose–Response Extrapolation For Environmental Health Risk Assessment. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, 117(2):283-7, (2009).

Impact/Purpose:

Workshop goals were to: (1) review the state of the science for high-to-low dose-response extrapolation methods in environmental health risk assessments, (2) identify realistic approaches for the practical application of low-dose extrapolation incorporating the relevant scientific evidence to the fullest extent feasible and (3) identify areas for future work.

Description:

Low-dose extrapolation model selection for evaluating the health effects of environmental pollutants is a key component of the risk assessment process. At a workshop held in Baltimore, MD, on April 23-24, 2007, and sponsored by U.S. Environmental Protection Agency (EPA) and Johns Hopkins Risk Sciences and Public Policy Institute, a multidisciplinary group of experts reviewed the state of the science regarding low-dose extrapolation modeling and its application in environmental health risk assessments. Discussion topics were identified based on a literature review, which included examples for which human responses to ambient exposures have been extensively characterized for cancer and/or noncancer outcomes.
Topics included:

  • the need for formalized approaches and criteria to assess the evidence for mode of action;
  • the use of human vs. animal data;
  • the use of mode of action information in biologically-based models; and
  • the implications of interindividual variability, background disease processes and background exposures in threshold vs. nonthreshold model choice.
Approaches that differ from current practice were recommended for extrapolating high-dose animal data to low-dose human exposures, including categorical approaches for integrating information on mode of action, statistical approaches such as model averaging, and inference-based models that explicitly consider uncertainty and interindividual variability.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:02/01/2009
Record Last Revised:06/23/2009
OMB Category:Other
Record ID: 199448