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An approach for integrating toxicogenomic data in risk assessment: The dibutyl phthalate case study

机译:整合毒物基因组学数据进行风险评估的方法:邻苯二甲酸二丁酯案例研究

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An approach for evaluating and integrating genomic data in chemical risk assessment was developed based on the lessons learned from performing a case study for the chemical dibutyl phthalate. A case study prototype approach was first developed in accordance with EPA guidance and recommendations of the scientific community. Dibutyl phthalate (DBP) was selected for the case study exercise. The scoping phase of the dibutyl phthalate case study was conducted by considering the available DBP genomic data, taken together with the entire data set, for whether they could inform various risk assessment aspects, such as toxicodynamics, toxicokinetics, and dose-response. A description of weighing the available dibutyl phthalate data set for utility in risk assessment provides an example for considering genomic data for future chemical assessments. As a result of conducting the scoping process, two questions-. Do the DBP toxicogenomic data inform 1) the mechanisms or modes of action?, and 2) the interspecies differences in toxicodynamics?-were selected to focus the case study exercise. Principles of the general approach include considering the genomics data in conjunction with all other data to determine their ability to inform the various qualitative and/or quantitative aspects of risk assessment, and evaluating the relationship between the available genomic and toxicity outcome data with respect to study comparability and phenotypic anchoring. Based on experience from the DBP case study, recommendations and a general approach for integrating genomic data in chemical assessment were developed to advance the broader effort to utilize 21st century data in risk assessment.
机译:基于对邻苯二甲酸二丁酯进行案例研究的经验教训,开发了一种在基因组风险评估中评估和整合基因组数据的方法。首先根据EPA指南和科学界的建议开发了案例研究原型方法。案例研究选择了邻苯二甲酸二丁酯(DBP)。邻苯二甲酸二丁酯案例研究的范围界定阶段是通过考虑可用的DBP基因组数据以及整个数据集进行的,以确定它们是否可以为各种风险评估方面提供信息,例如毒物动力学,毒物动力学和剂量反应。权衡可用的邻苯二甲酸二丁酯数据集以用于风险评估的说明提供了一个考虑基因组数据用于将来化学评估的示例。进行范围界定过程的结果是两个问题。是否选择了DBP毒物基因组学数据来说明1)作用机理或作用方式?以及2)毒物动力学的种间差异?通用方法的原理包括将基因组学数据与所有其他数据结合起来,以确定其告知风险评估的各种定性和/或定量方面的能力,以及评估与研究相关的可用基因组学和毒性结果数据之间的关系。可比性和表型锚定。基于DBP案例研究的经验,提出了一些建议和将基因组数据整合到化学评估中的通用方法,以推动将21世纪数据用于风险评估的广泛努力。

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