Biostatistics Seminar Series: R 2-Based Mediation Analysis with High-Dimensional Omics Mediators

June 08
708 Broadway, Room 801 / Online

Hosted by the Department of Biostatistics

Dr. Ping Wei (University of Texas MD Anderson Cancer Center) will discuss the 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, we extended an R-squared (R 2 ) total mediation effect size measure for continuous outcomes, originally proposed in the single-mediator setting, to the moderate- and high-dimensional mediator settings in the mixed model framework. Dr. Wei will introduce some recent advances in R 2 -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, and applications to the Framingham Heart Study.