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Predicting Exposure Pathways Allows Risk-Based Prioritization
Citation:
Wambaugh, J., K. Isaacs, K. Phillips, P. Egeghy, AND Woodrow Setzer. Predicting Exposure Pathways Allows Risk-Based Prioritization. Presented at The Toxicology Forum 42nd Annual Winter Meeting, Washington, District Of Columbia, January 29 - 31, 2018. https://doi.org/10.23645/epacomptox.6876962
Impact/Purpose:
This is a presentation to the Tox Forum Winter meeting (Washington DC) in a session that I am co-chairing entitled “Putting Models to Work: When Can We Actually Use High Throughput Exposure Estimates?”
Description:
Rough exposure assessments may be potentially useful if the uncertainty can be quantified and is acceptable (i.e., “fit for purpose”). Each exposure model incorporates different knowledge, assumptions, and data. The trick is to know which model to use and when. We use existing chemical data to predict pathways from chemical structure and properties. But, we need additional example chemicals. The initial four pathways considered here are only an example, other important pathways or groupings of pathways can be considered. Eventually we have got to go beyond NHANES (~130 chemicals). Non-targeted analysis of blood may eventually fill this need.
URLs/Downloads:
DOI: Predicting Exposure Pathways Allows Risk-Based Prioritization
TOXFORUM2018-PREDICTINGPATHWAYS-FINAL.PDF (PDF, NA pp, 2732.88 KB, about PDF)