Project 2: Integration of Omic Data in the Analysis of Gene × Environment Interaction
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.
Acceptability, feasibility, and preliminary impact of a web-based, HIV prevention toolkit with cisgender male couples in Lima, Peru
Affiliated GroupsPublication dateOctober 22, 2022StatusIn ProgressShareOverviewAssess feasibility to retain 60 consented and eligible male couples in a 6-month pilot RCT of an eHealth couples-based HIV/STI prevention toolkit through...
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"...
Affiliated GroupsPublication dateOctober 22, 2022StatusIn ProgressShareOverviewA narrative synthesis that presents a comprehensive summary of the literature on surgeries on intersex infants and children and supports creation of a WHO global...