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

机译:在职业健康风险评估和标准制定中使用遗传和表观遗传信息的注意事项

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摘要

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.
机译:风险评估是职业健康决策和职业接触限值(OELs)制定的基础。尽管遗传和表观遗传数据尚未广泛用于风险评估和最终的标准制定中,但可以预见此类用途。越来越多的文献表明,遗传和表观遗传因素制约着对职业和环境危害的生物学反应,或成为其目标。本演讲介绍了在风险评估中使用遗传和表观遗传信息的注意事项,提供了在经典风险评估范式中使用此信息的指导,并描述了组织有关此类用途的思考的框架。该框架是一个4×4矩阵,在一个轴上涉及风险评估功能(危害识别,剂量反应模型,暴露评估和风险表征),而在另一个轴上继承和获取了遗传和后生数据。矩阵中的单元确定了遗传和表观遗传数据如何用于每种风险评估功能。通常,遗传和表观遗传数据可以用作危害识别的终点,暴露的指标,暴露评估和剂量反应模型中的作用修饰剂,作用方式的描述符以及表征毒性途径。高通量技术可能会产生大量的遗传和表观遗传数据。这些数据可用于评估变异性并减少外推法的不确定性,并且可以作为识别生物扰动将导致基于毒性途径风险评估的新范式的基础。

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