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Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting

Risk assessment forms the basis for both occupational health decision-making and the development of occupational exposure limits (OELs). Although genetic and epigenetic data have not been widely used in risk assessment and ultimately, standard setting, it is possible to envision such uses. A growing...

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Autores principales: Schulte, P. A., Whittaker, C., Curran, C. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685594/
https://www.ncbi.nlm.nih.gov/pubmed/26583908
http://dx.doi.org/10.1080/15459624.2015.1060323
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author Schulte, P. A.
Whittaker, C.
Curran, C. P.
author_facet Schulte, P. A.
Whittaker, C.
Curran, C. P.
author_sort Schulte, P. A.
collection PubMed
description Risk assessment forms the basis for both occupational health decision-making and the development of occupational exposure limits (OELs). Although genetic and epigenetic data have not been widely used in risk assessment and ultimately, standard setting, it is possible to envision such uses. A growing body of literature demonstrates that genetic and epigenetic factors condition biological responses to occupational and environmental hazards or serve as targets of them. This presentation addresses the considerations for using genetic and epigenetic information in risk assessments, provides guidance on using this information within the classic risk assessment paradigm, and describes a framework to organize thinking about such uses. The framework is a 4 × 4 matrix involving the risk assessment functions (hazard identification, dose-response modeling, exposure assessment, and risk characterization) on one axis and inherited and acquired genetic and epigenetic data on the other axis. The cells in the matrix identify how genetic and epigenetic data can be used for each risk assessment function. Generally, genetic and epigenetic data might be used as endpoints in hazard identification, as indicators of exposure, as effect modifiers in exposure assessment and dose-response modeling, as descriptors of mode of action, and to characterize toxicity pathways. Vast amounts of genetic and epigenetic data may be generated by high-throughput technologies. These data can be useful for assessing variability and reducing uncertainty in extrapolations, and they may serve as the foundation upon which identification of biological perturbations would lead to a new paradigm of toxicity pathway-based risk assessments.
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spelling pubmed-46855942016-01-04 Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting Schulte, P. A. Whittaker, C. Curran, C. P. J Occup Environ Hyg Original Articles Risk assessment forms the basis for both occupational health decision-making and the development of occupational exposure limits (OELs). Although genetic and epigenetic data have not been widely used in risk assessment and ultimately, standard setting, it is possible to envision such uses. A growing body of literature demonstrates that genetic and epigenetic factors condition biological responses to occupational and environmental hazards or serve as targets of them. This presentation addresses the considerations for using genetic and epigenetic information in risk assessments, provides guidance on using this information within the classic risk assessment paradigm, and describes a framework to organize thinking about such uses. The framework is a 4 × 4 matrix involving the risk assessment functions (hazard identification, dose-response modeling, exposure assessment, and risk characterization) on one axis and inherited and acquired genetic and epigenetic data on the other axis. The cells in the matrix identify how genetic and epigenetic data can be used for each risk assessment function. Generally, genetic and epigenetic data might be used as endpoints in hazard identification, as indicators of exposure, as effect modifiers in exposure assessment and dose-response modeling, as descriptors of mode of action, and to characterize toxicity pathways. Vast amounts of genetic and epigenetic data may be generated by high-throughput technologies. These data can be useful for assessing variability and reducing uncertainty in extrapolations, and they may serve as the foundation upon which identification of biological perturbations would lead to a new paradigm of toxicity pathway-based risk assessments. Taylor & Francis 2015-11-25 2015-11-19 /pmc/articles/PMC4685594/ /pubmed/26583908 http://dx.doi.org/10.1080/15459624.2015.1060323 Text en This article not subject to U.S. copyright law. Published with license by Taylor & Francis This is an Open Access article. Non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly attributed, cited, and is not altered, transformed, or built upon in any way, is permitted. The moral rights of the named author(s) have been asserted.
spellingShingle Original Articles
Schulte, P. A.
Whittaker, C.
Curran, C. P.
Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting
title Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting
title_full Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting
title_fullStr Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting
title_full_unstemmed Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting
title_short Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting
title_sort considerations for using genetic and epigenetic information in occupational health risk assessment and standard setting
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685594/
https://www.ncbi.nlm.nih.gov/pubmed/26583908
http://dx.doi.org/10.1080/15459624.2015.1060323
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