A1024
Title: Novel mediation analysis with high-dimensional omics mediators
Authors: Peng Wei - The University of Texas MD Anderson Cancer Center (United States) [presenting]
Abstract: Environmental exposures can regulate intermediate molecular phenotypes, such as the transcriptome, metabolome, and microbiome, by various mechanisms and thereby lead to different health outcomes. It is of significant scientific interest to unravel the role of potentially high-dimensional intermediate phenotypes in the relationship between environmental exposure and health traits. Mediation analysis is an important tool for investigating such relationships. However, there are many unique challenges facing high-dimensional mediation analysis with these emerging omics mediators. To this end, an R-squared (R2) total mediation effect size measure is extended for continuous outcomes, originally proposed in the single-mediator setting, to the moderate- and high-dimensional mediator settings in the mixed model framework. Some recent advances are introduced in R2-based mediation analysis with high-dimensional omics mediators, including speeding up confidence interval estimation based on asymptotic results, extension to time-to-event and binary outcomes, meta-analysis, and applications to the Trans-Omics for Precision Medicine (TOPMed) program cohorts.
