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An Empirical Approach to Sufficient Similarity: Combining Exposure Data and Mixtures Toxicology Data

Author

Listed:
  • Scott Marshall
  • Chris Gennings
  • Linda K. Teuschler
  • LeAnna G. Stork
  • Rogelio Tornero‐Velez
  • Kevin M. Crofton
  • Glenn E. Rice

Abstract

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, more concern).

Suggested Citation

  • Scott Marshall & Chris Gennings & Linda K. Teuschler & LeAnna G. Stork & Rogelio Tornero‐Velez & Kevin M. Crofton & Glenn E. Rice, 2013. "An Empirical Approach to Sufficient Similarity: Combining Exposure Data and Mixtures Toxicology Data," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1582-1595, September.
  • Handle: RePEc:wly:riskan:v:33:y:2013:i:9:p:1582-1595
    DOI: 10.1111/risa.12015
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    Cited by:

    1. Carl‐Gustaf Bornehag & Efthymia Kitraki & Antonios Stamatakis & Emily Panagiotidou & Christina Rudén & Huan Shu & Christian Lindh & Joelle Ruegg & Chris Gennings, 2019. "A Novel Approach to Chemical Mixture Risk Assessment—Linking Data from Population‐Based Epidemiology and Experimental Animal Tests," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2259-2271, October.
    2. Panos G. Georgopoulos & Christopher J. Brinkerhoff & Sastry Isukapalli & Michael Dellarco & Philip J. Landrigan & Paul J. Lioy, 2014. "A Tiered Framework for Risk‐Relevant Characterization and Ranking of Chemical Exposures: Applications to the National Children's Study (NCS)," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1299-1316, July.

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