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Issues in Using Human Variability Distributions to Estimate Low-Dose Risk
BACKGROUND: The National Research Council (NRC) Committee on Improving Risk Analysis Approaches Used by the U.S. EPA (Environmental Protection Agency) recommended that low-dose risks be estimated in some situations using human variability distributions (HVDs). HVD modeling estimates log-normal distr...
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Formato: | Texto |
Lenguaje: | English |
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National Institute of Environmental Health Sciences
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2854768/ https://www.ncbi.nlm.nih.gov/pubmed/20064772 http://dx.doi.org/10.1289/ehp.0901250 |
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author | Crump, Kenny S. Chiu, Weihsueh A. Subramaniam, Ravi P. |
author_facet | Crump, Kenny S. Chiu, Weihsueh A. Subramaniam, Ravi P. |
author_sort | Crump, Kenny S. |
collection | PubMed |
description | BACKGROUND: The National Research Council (NRC) Committee on Improving Risk Analysis Approaches Used by the U.S. EPA (Environmental Protection Agency) recommended that low-dose risks be estimated in some situations using human variability distributions (HVDs). HVD modeling estimates log-normal distributions from data on pharmacokinetic and pharmacodynamic variables that affect individual sensitivities to the toxic response. These distributions are combined into an overall log-normal distribution for the threshold dose (dose below which there is no contribution to a toxic response) by assuming the variables act independently and multiplicatively. This distribution is centered at a point-of-departure dose that is usually estimated from animal data. The resulting log-normal distribution is used to quantify low-dose risk. OBJECTIVE: We examined the implications of various assumptions in HVD modeling for estimating low-dose risk. METHODS: The assumptions and data used in HVD modeling were subjected to rigorous scrutiny. RESULTS: We found that the assumption that the variables affecting human sensitivity vary log normally is not scientifically defensible. Other distributions that are equally consistent with the data provide very different estimates of low-dose risk. HVD modeling can also involve an assumption that a threshold dose defined by dichotomizing a continuous apical response has a log-normal distribution. This assumption is shown to be incompatible (except under highly specialized conditions) with assuming that the continuous apical response itself is log normal. However, the two assumptions can lead to very different estimates of low-dose risk. The assumption in HVD modeling that the threshold dose can be expressed as a function of a product of independent variables lacks phenomenological support. We provide an example that shows that this assumption is generally invalid. CONCLUSION: In view of these problems, we recommend caution in the use of HVD modeling as a general approach to estimating low-dose risks from human exposures to toxic chemicals. |
format | Text |
id | pubmed-2854768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-28547682010-04-26 Issues in Using Human Variability Distributions to Estimate Low-Dose Risk Crump, Kenny S. Chiu, Weihsueh A. Subramaniam, Ravi P. Environ Health Perspect Research BACKGROUND: The National Research Council (NRC) Committee on Improving Risk Analysis Approaches Used by the U.S. EPA (Environmental Protection Agency) recommended that low-dose risks be estimated in some situations using human variability distributions (HVDs). HVD modeling estimates log-normal distributions from data on pharmacokinetic and pharmacodynamic variables that affect individual sensitivities to the toxic response. These distributions are combined into an overall log-normal distribution for the threshold dose (dose below which there is no contribution to a toxic response) by assuming the variables act independently and multiplicatively. This distribution is centered at a point-of-departure dose that is usually estimated from animal data. The resulting log-normal distribution is used to quantify low-dose risk. OBJECTIVE: We examined the implications of various assumptions in HVD modeling for estimating low-dose risk. METHODS: The assumptions and data used in HVD modeling were subjected to rigorous scrutiny. RESULTS: We found that the assumption that the variables affecting human sensitivity vary log normally is not scientifically defensible. Other distributions that are equally consistent with the data provide very different estimates of low-dose risk. HVD modeling can also involve an assumption that a threshold dose defined by dichotomizing a continuous apical response has a log-normal distribution. This assumption is shown to be incompatible (except under highly specialized conditions) with assuming that the continuous apical response itself is log normal. However, the two assumptions can lead to very different estimates of low-dose risk. The assumption in HVD modeling that the threshold dose can be expressed as a function of a product of independent variables lacks phenomenological support. We provide an example that shows that this assumption is generally invalid. CONCLUSION: In view of these problems, we recommend caution in the use of HVD modeling as a general approach to estimating low-dose risks from human exposures to toxic chemicals. National Institute of Environmental Health Sciences 2010-03 2009-10-23 /pmc/articles/PMC2854768/ /pubmed/20064772 http://dx.doi.org/10.1289/ehp.0901250 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Research Crump, Kenny S. Chiu, Weihsueh A. Subramaniam, Ravi P. Issues in Using Human Variability Distributions to Estimate Low-Dose Risk |
title | Issues in Using Human Variability Distributions to Estimate Low-Dose Risk |
title_full | Issues in Using Human Variability Distributions to Estimate Low-Dose Risk |
title_fullStr | Issues in Using Human Variability Distributions to Estimate Low-Dose Risk |
title_full_unstemmed | Issues in Using Human Variability Distributions to Estimate Low-Dose Risk |
title_short | Issues in Using Human Variability Distributions to Estimate Low-Dose Risk |
title_sort | issues in using human variability distributions to estimate low-dose risk |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2854768/ https://www.ncbi.nlm.nih.gov/pubmed/20064772 http://dx.doi.org/10.1289/ehp.0901250 |
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