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Filling Metabolism Data Gaps in Read-across
Citation:
Boyce, M., B. Meyer, V. Samano, Chris Grulke, L. Lizarraga, AND G. Patlewicz. Filling Metabolism Data Gaps in Read-across . U.S. EPA ORD, CSS Research Program Board of Scientific Counselors (BOSC), Virtual, NC, February 02 - 05, 2021. https://doi.org/10.23645/epacomptox.13713790
Impact/Purpose:
Presentation to the U.S. EPA ORD, CSS Research Program Board of Scientific Counselors (BOSC) February 2021
Description:
Many chemicals of interest to the EPA have limited or no toxicity data, making traditional risk assessment approaches to derive toxicity values impractical. An expert-driven read-across methodology was previously developed and applied to support screening-level noncancer toxicity assessment of data-poor chemicals under the Provisional Peer-Reviewed Toxicity Value (PPRTV) program (Wang et al. 2012). However, many challenges remain to be addressed for chemicals with severely deficient hazard databases and for the evaluation of other complex human health endpoints, including carcinogenicity. The work proposed under this product will include an update and extension of the Wang et al., (2012) read-across methodology, developing workflows for the evaluation of both noncancer and cancer toxicity that incorporate the use of NAM data and tools to augment scientific justifications for chemical grouping and read-across. Furthermore, case studies highlighting opportunities to integrate expert-driven read-across methodologies with more automated and quantitative approaches such the generalized read-across (GenRA) approach developed under CSS (Shah et al., 2016) will be explored. These efforts will continue to address data gaps for chemicals of interest to Superfund program and other Agency-wide activities, expanding the scope and decision context of read-across applications within HERA.
URLs/Downloads:
DOI: Filling Metabolism Data Gaps in Read-across
BOSC_PRESENTATION_BOYCE_PATLEWICZ_220121.PDF (PDF, NA pp, 1700.253 KB, about PDF)