Unknown

Dataset Information

Tracking contributions to human body burden of environmental chemicals by correlating environmental measurements with biomarkers.


ABSTRACT: The work addresses current knowledge gaps regarding causes for correlations between environmental and biomarker measurements and explores the underappreciated role of variability in disaggregating exposure attributes that contribute to biomarker levels. Our simulation-based study considers variability in environmental and food measurements, the relative contribution of various exposure sources (indoors and food), and the biological half-life of a compound, on the resulting correlations between biomarker and environmental measurements. For two hypothetical compounds whose half-lives are on the order of days for one and years for the other, we generate synthetic daily environmental concentrations and food exposures with different day-to-day and population variability as well as different amo

SUBMITTER: Shin HM 

PROVIDER: S-EPMC3969314 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature