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Benchmark dose risk analysis with mixed-factor quantal data in environmental risk assessment
Maria A Sans-Fuentes1, Walter W Piegorsch2
1BIO5 Institute, University of Arizona, Tucson, AZ 85721, U.S.A.
Environmetrics
|August 6, 2021
Summary
This study extends benchmark dose (BMD) analysis to account for secondary factors influencing environmental risk. It provides methods to estimate benchmark dose levels (BMDL) in complex scenarios, improving risk assessment accuracy.
Area of Science:
- Environmental Science
- Toxicology
- Risk Assessment
Background:
- Benchmark dose (BMD) analysis estimates risks from environmental stimuli.
- Current methods are limited to single stimuli, not accounting for secondary factors.
- Environmental risks often involve multiple interacting factors.
Purpose of the Study:
- To extend the benchmark dose (BMD) paradigm to mixed-factor settings.
- To develop methods for estimating benchmark dose levels (BMDL) with secondary qualitative factors.
- To evaluate different approaches for calculating BMDL in complex risk scenarios.
Main Methods:
- Utilized generalized linear models with a complementary-log link function.
- Focused on quantal-response data analysis.
- Employed Monte Carlo simulations to evaluate six multiplicity-adjusted approaches for BMDL calculation.
Main Results:
- Derived expressions for benchmark dose (BMD) and benchmark dose level (BMDL) in mixed-factor settings.
- Evaluated the performance of various BMDL calculation methods under different conditions.
- Demonstrated the application of the extended methodology using environmental carcinogenicity data.
Conclusions:
- The extended BMD approach effectively addresses risks influenced by secondary factors.
- The study provides a framework for more accurate environmental risk assessment.
- The findings are applicable to environmental carcinogenicity testing and similar toxicological studies.
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