Use of study-specific MOE-like estimates to prioritize health effects from chemical exposure for analysis in human health assessments.

ABSTRACT: There are unique challenges in estimating dose-response with chemicals that are associated with multiple health outcomes and numerous studies. Some studies are more suitable than others for quantitative dose-response analyses. For such chemicals, an efficient method of screening studies and endpoints to identify suitable studies and potentially important health effects for dose-response modeling is valuable. Using inorganic arsenic as a test case, we developed a tiered approach that involves estimating study-specific margin of exposure (MOE)-like unitless ratios for two hypothetical scenarios. These study-specific unitless ratios are derived by dividing the exposure estimated to result in a 20% increase in relative risk over the background exposure (RRE₂₀) by the background expo

SUBMITTER: Hobbie K 

PROVIDER: S-EPMC7572727 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature