Project 2: Integration of Omic Data in the Analysis of Gene × Environment Interaction

Affiliated Groups


In Progress



The availability of high-volume ‘omic’ data, including gene expression, metabolome, methylation, and microbiome, provides new opportunities to identify gene-environment (G×E) and omic × E interactions. This project will develop statistical methods to leverage omic data to improve power for identifying novel interactions as well as to inform the biological mechanism by which genes and exposures affect cancer outcomes.

Explore Research

Getting to the Heart of HIV Stigma

Getting to the Heart of HIV Stigma

Affiliated GroupsPublication dateOctober 22, 2022StatusCompletedShareOverviewSystematic review of the literature on frameworks, measures, and interventions of HIV stigma.Investigators[pphs_api_faculty_card faculty_id="f240"...