Advancing the next generation of health risk assessment.
Advancing the next generation of health risk assessment.
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DOI：
10.1289/ehp.1104870
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发表时间：
2012-11
影响因子：
10.4
通讯作者：
Preuss PW
中科院分区：
文献类型：
--
作者：
Cote I;Anastas PT;Birnbaum LS;Clark RM;Dix DJ;Edwards SW;Preuss PW
背景资料：在过去20年中，对基因组及其功能的了解急剧增加，但利用这些知识进行风险评估的方法却没有相应的进展。目的：这篇评论描述了几个联邦和州机构为推进下一代风险评估而进行的合作努力。NexGen项目的目标是开始将分子和系统生物学的最新进展纳入风险评估实践。该计划的最终成功将基于新的实践，促进更快，更便宜和/或更准确的公共卫生风险评估的结合。研究方法：我们正在开发原型风险评估，将传统的、数据丰富的风险评估结果与从新型分子和系统生物学数据中获得的见解进行比较。通过这种方式，可以验证新方法，改进传统方法，更好地理解不同类型的新科学信息的价值。讨论和结论：我们预计，这些新方法将有各种各样的应用，如评估新的和现有的商业化学品和设计化学产品和工艺，减少或消除使用或产生危险物质。此外，这项工作的结果可能会刺激进一步的研究和测试方法的发展。新办法的全面实施可能需要10至20年时间。
Background: Over the past 20 years, knowledge of the genome and its function has increased dramatically, but risk assessment methodologies using such knowledge have not advanced accordingly. Objective: This commentary describes a collaborative effort among several federal and state agencies to advance the next generation of risk assessment. The objective of the NexGen program is to begin to incorporate recent progress in molecular and systems biology into risk assessment practice. The ultimate success of this program will be based on the incorporation of new practices that facilitate faster, cheaper, and/or more accurate assessments of public health risks. Methods: We are developing prototype risk assessments that compare the results of traditional, data-rich risk assessments with insights gained from new types of molecular and systems biology data. In this manner, new approaches can be validated, traditional approaches improved, and the value of different types of new scientific information better understood. Discussion and Conclusions: We anticipate that these new approaches will have a variety of applications, such as assessment of new and existing chemicals in commerce and the design of chemical products and processes that reduce or eliminate the use or generation of hazardous substances. Additionally, results of the effort are likely to spur further research and test methods development. Full implementation of new approaches is likely to take 10–20 years.
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影响因子：
10.4
作者：
Thayer KA;Heindel JJ;Bucher JR;Gallo MA
通讯作者：
Gallo MA
影响因子：
3.8
作者：
Thomas, Russell S.;Clewell, Harvey J., III;Andersen, Melvin E.
通讯作者：
Andersen, Melvin E.
DOI：
10.1111/j.1539-6924.2008.01168.x
发表时间：
2009-04
期刊：
Risk analysis : an official publication of the Society for Risk Analysis
影响因子：
--
作者：
Kavlock RJ;Austin CP;Tice RR
通讯作者：
Tice RR
影响因子：
3.8
作者：
Chiu, Weihsueh A.;Euling, Susan Y.;Subramaniam, Ravi P.
通讯作者：
Subramaniam, Ravi P.
影响因子：
10.4
作者：
Miller MD;Crofton KM;Rice DC;Zoeller RT
通讯作者：
Zoeller RT