4.4 Article

Grouping of PFAS for human health risk assessment: Findings from an independent panel of experts

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ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.yrtph.2022.105226

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Per-and polyfluoroalkyl substances; Mixtures; Risk assessment; Grouping; Hazard index

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An expert panel discussed the challenges of grouping per- and polyfluoroalkyl substances (PFAS) for protecting human health and assessing the risks of PFAS mixtures. They agreed that inconsistent interpretations of PFAS human health risks and limited data pose significant challenges for risk assessment. The experts suggested that all PFAS should not be grouped together, persistence alone is not enough for grouping, and subgroup definitions should be case-specific. They also proposed a tiered approach for assessing PFAS lacking analytical and toxicological studies.
An expert panel was convened to provide insight and guidance on per-and polyfluoroalkyl substances (PFAS) grouping for the purposes of protecting human health from drinking water exposures, and how risks to PFAS mixtures should be assessed. These questions were addressed through multiple rounds of blind, independent responses to charge questions, and review and comments on co-panelists responses. The experts agreed that the lack of consistent interpretations of human health risk for well-studied PFAS and the lack of information for the vast majority of PFAS present significant challenges for any mixtures risk assessment approach. Most experts agreed that all PFAS should not be grouped together, persistence alone is not sufficient for grouping PFAS for the purposes of assessing human health risk, and that the definition of appropriate subgroups can only be defined on a case-by-case manner. Most panelists agreed that it is inappropriate to assume equal toxicity/potency across the diverse class of PFAS. A tiered approach combining multiple lines of evidence was presented as a possible viable means for addressing PFAS that lack analytical and/or toxicological studies. Most PFAS risk assessments will need to employ assumptions that are more likely to overestimate risk than to underestimate risk, given the choice of assumptions regarding dose-response model, uncertainty factors, and exposure information.

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