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ToxRefDB 2.0: Improvements in Capturing Qualitative and Quantitative Data from in vivo Toxicity Studies (SOT)
Citation:
Watford, S., A. Adrian, J. Wignall, J. Brown, AND M. Martin. ToxRefDB 2.0: Improvements in Capturing Qualitative and Quantitative Data from in vivo Toxicity Studies (SOT). Presented at SOT Annual Meeting, Baltimore, MD, March 12 - 16, 2017. https://doi.org/10.23645/epacomptox.5178622
Impact/Purpose:
Since the initial release in 2009, ToxRefDB has continued to address many challenges with capturing heterogeneous data from diverse sets of in vivo studies with a defined database structure and a controlled vocabulary. Current efforts aim to not only capture basic study design and treatment-related effect information, but to also capture detailed endpoint testing status information. These major improvements within ToxRefDB further increase its utility as a primary resource and tool for retrospective analyses of animal testing as well as predictive and computational toxicology modeling.
Description:
The Toxicity Reference Database (ToxRefDB) is a publicly accessible resource that contains 40+ years of in vivo dose-response toxicological studies. ToxRefDB provides curated in vivo toxicity data for systematic evaluation of a continuously expanding catalog of chemicals, and complements current efforts in high-throughput screening programs (e.g. ToxCast, Tox21). Since the initial release in 2009, ToxRefDB has continued to address many challenges with capturing heterogeneous data from diverse sets of in vivo studies with a defined database structure and a controlled vocabulary. Current efforts aim to not only capture basic study design and treatment-related effect information, but to also capture detailed endpoint testing status information. These improvements will help to more accurately identify and track assumptions about endpoints that were tested with no effect reported. Specifically, default testing statuses were established by matching study types and endpoints to existing guidelines to generate guideline profiles aiding in the systematic evaluation of guideline adherence. Guideline profiling will also help generate improved modeling sets for predictive toxicology with a clearer delineation between negative and not tested. Currently, treatment group-level quantitative response results (i.e. incidence levels or mean +/- standard deviation) have been entered for over 2,400 chronic, sub-chronic, and multi-generation reproductive studies. The quantitative results account for nearly 60% of all reported treatment group-level effects. The low quantitative results coverage is largely due to lack of reporting. Testing status information combined with the newly captured quantitative results enables dose-response modeling including endpoint-level benchmark dose modeling. These major improvements within ToxRefDB further increase its utility as a primary resource and tool for retrospective analyses of animal testing as well as predictive and computational toxicology modeling. This abstract does not necessarily reflect U.S. EPA policy.
URLs/Downloads:
DOI: ToxRefDB 2.0: Improvements in Capturing Qualitative and Quantitative Data from in vivo Toxicity Studies (SOT)
WATFORD_SOT2017_ABSTRACT.PDF (PDF, NA pp, 80.852 KB, about PDF)
S_WATFORD_TOXREF2.0_POSTER_FINAL.PDF (PDF, NA pp, 346.938 KB, about PDF)