Workshop: Advancing Quantitative Analysis in Human Health Assessments through Probabilistic Methods
Monday, October 7-8, 2024
U.S. Environmental Protection Agency, Research Triangle Park, NC and online
Slides from the workshop are available below.
Agenda (final draft, updated October 1)
The EPA Office of Research and Development, in conjunction with NICEATM, convened a workshop to facilitate discussion of probabilistic methods in human health risk assessment. This workshop provided examples of application of probabilistic methods in chemical risk assessments, highlighted ongoing research, and discussed the needs and challenges for the regular use of these methods.
The National Academies of Sciences, Engineering, and Medicine recently recommended consideration of how and when traditional deterministic approaches for human health risk assessment (i.e., toxicity value point estimates) can be transitioned towards probabilistic methods for deriving risk-specific doses. This workshop highlighted past examples where probabilistic methods were implemented to derive chemical-specific toxicity values, provided insight into the current state of the research surrounding probabilistic methods in chemical risk assessments, and discussed the future directions for implementing these probabilistic methods in human health assessments.
Broken into four subtopics, the agenda featured sessions on:
- Probabilistic exposure
- Toxicokinetics
- Benchmark dose modeling
- Toxicity value determination
Throughout these sessions interdisciplinary panels comprising subject matter experts from government, industry, academia, and NGOs conducted panel discussions to evaluate the proposed methods and provide suggestions for how the transition might be implemented. Workshop participants gained a greater understanding of probabilistic methods within the context of human health assessments and guided discussion for how these methods may ultimately be implemented.
Presentations
Welcome and Introductions
Kris Thayer, U.S. Environmental Protection Agency (EPA) Office of Research and Development (ORD) Center for Public Health and Environmental Assessment
Introduction to Probabilistic Methods in Risk Assessment
Weihsueh Chiu, Texas A&M University
Using APROBA for Integrated TDI Derivation and Uncertainty Analysis - The Case of BPA
Matthias Herzler, German Federal Institute for Risk Assessment
Case Study: Application of APROBA to Acrolein and Chloroform
Todd Blessinger, EPA ORD Center for Public Health and Environmental Assessment
Acronym Soup for a Deoynivalenol Probabilistic Risk Assessment
Weihsueh Chiu, Texas A&M University
Next Generation Risk Assessment for Systemic Toxicity
Ans Punt, Unilever
Application of the SHEDS Probabilistic Multimedia Aggregate Exposure Model for Lead in Soil and Dust
Rogelio Tornero-Velez, EPA ORD Center for Computational Toxicology and Exposure
Gap-filling Methods for Exposure Modeling
Katherine Phillips, EPA ORD Center for Computational Toxicology and Exposure
Reverse Dosimetry in TKPlate to Reconstruct Exposure Distributions Using Biomonitoring Data
Jean Lou Dorne, European Food Safety Authority
Characterizing Uncertainty and Variability in PBPK Parameters
Paul Schlosser, EPA ORD Center for Public Health and Environmental Assessment
Impact of Parameter Distribution Assumptions on Distributional Estimates of Human Equivalent Doses
Celia Schacht, EPA ORD Center for Public Health and Environmental Assessment
QIVIVE and Variability Distributions in Elimination Using TKPlate
Jean Lou Dorne, European Food Safety Authority
Bayesian Model Averaging for Dose-response
Matthew Wheeler, National Institute of Environmental Health Sciences
Case Study: Application of Dose-response Model Averaging to Chloroform
Todd Blessinger, EPA ORD Center for Public Health and Environmental Assessment
Probabilistic Points-of-departure: A Tiered Approach for Life Cycle Impact Assessment
Weihsueh Chiu, Texas A&M University
A Multi-tiered Hiearchical Bayesian Approach to Derive Toxic Equivalency Factors
Caroline Ring, EPA ORD Center for Computational Toxicology and Exposure
The SARA-ICE Model for Probabilistic Skin Sensitization Risk Assessment
Nicole Kleinstreuer, National Institute of Environmental Health Sciences
Probabilistic Risk Assessment and Benefit-cost Analysis
Chris Dockins, EPA National Center for Environmental Economics