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DOI10.1111/risa.12015
An Empirical Approach to Sufficient Similarity: Combining Exposure Data and Mixtures Toxicology Data
Marshall, Scott1; Gennings, Chris2; Teuschler, Linda K.3; Stork, LeAnna G.4; Tornero-Velez, Rogelio5; Crofton, Kevin M.6; Rice, Glenn E.3
发表日期2013-09-01
ISSN0272-4332
卷号33期号:9页码:1582-1595
英文摘要

When assessing risks posed by environmental chemical mixtures, whole mixture approaches are preferred to component approaches. When toxicological data on whole mixtures as they occur in the environment are not available, Environmental Protection Agency guidance states that toxicity data from a mixture considered "sufficiently similar" to the environmental mixture can serve as a surrogate. We propose a novel method to examine whether mixtures are sufficiently similar, when exposure data and mixture toxicity study data from at least one representative mixture are available. We define sufficient similarity using equivalence testing methodology comparing the distance between benchmark dose estimates for mixtures in both data-rich and data-poor cases. We construct a "similar mixtures risk indicator"(SMRI) (analogous to the hazard index) on sufficiently similar mixtures linking exposure data with mixtures toxicology data. The methods are illustrated using pyrethroid mixtures occurrence data collected in child care centers (CCC) and dose-response data examining acute neurobehavioral effects of pyrethroid mixtures in rats. Our method shows that the mixtures from 90% of the CCCs were sufficiently similar to the dose-response study mixture. Using exposure estimates for a hypothetical child, the 95th percentile of the (weighted) SMRI for these sufficiently similar mixtures was 0.20 (i.e., where SMRI < 1, less concern; > 1, more concern).


英文关键词whole mixtures;hazard index;pyrethroids;Cumulative risk assessment;sufficient similarity
语种英语
WOS记录号WOS:000324391400003
来源期刊RISK ANALYSIS
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/59499
作者单位1.Biostat Solut Inc, Mt Airy, MD USA;
2.Virginia Commonwealth Univ, Dept Biostat, Richmond, VA 23298 USA;
3.US EPA, Natl Ctr Environm Assessment, Cincinnati, OH 45268 USA;
4.Monsanto Co, St Louis, MO USA;
5.US EPA, Natl Exposure Res Lab, Res Triangle Pk, NC 27711 USA;
6.US EPA, Natl Hlth & Environm Effects Res Labs, Off Res & Dev, Res Triangle Pk, NC 27711 USA
推荐引用方式
GB/T 7714
Marshall, Scott,Gennings, Chris,Teuschler, Linda K.,et al. An Empirical Approach to Sufficient Similarity: Combining Exposure Data and Mixtures Toxicology Data[J]. 美国环保署,2013,33(9):1582-1595.
APA Marshall, Scott.,Gennings, Chris.,Teuschler, Linda K..,Stork, LeAnna G..,Tornero-Velez, Rogelio.,...&Rice, Glenn E..(2013).An Empirical Approach to Sufficient Similarity: Combining Exposure Data and Mixtures Toxicology Data.RISK ANALYSIS,33(9),1582-1595.
MLA Marshall, Scott,et al."An Empirical Approach to Sufficient Similarity: Combining Exposure Data and Mixtures Toxicology Data".RISK ANALYSIS 33.9(2013):1582-1595.
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