Development of a metabolomic risk score for exposure to traffic-related air pollution: A multi-cohort study.

ABSTRACT: To synthesize vast amounts of high-throughput biological information, omics-fields like epigenetics have applied risk scores to develop biomarkers for environmental exposures. Extending the risk score analytic tool to the metabolomic data would be highly beneficial. This research aimed to develop and evaluate metabolomic risk score (metRS) approaches reflecting the biological response to traffic-related air pollution (TRAP) exposure (fine particulate matter, black carbon, and nitrogen dioxide). A simulation study compared three metRS methodologies: elastic net regression, which uses penalized regression to select metabolites, and two variations of thresholding, where a p-value cutoff is used to select metabolites. The methods performance was compared to assess 1) ability to correctly selec

SUBMITTER: Hoffman SS 

PROVIDER: S-EPMC11609018 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature