Multi-Omics Data Integration in Human Exposome Studies - Session 3 - - workshop series - coordinated by ISGlobal (www.isglobal.o...) and the ATHLETE Project (athleteproject...)
Title: Multi-Omic Analysis Framework For Precision Health: Omic mediation analysis in exposome research. By Jesse Goodrich, University of Southern California Keck School of Medicine.
Precision Health aims to revolutionize disease prevention by leveraging information across multiple omic datasets. However, existing methods generally do not consider personalized environmental factors. Mediation analysis, which examines how intermediate variables link environmental factors with disease, can use multi-omics to inform precision health by identifying biomarkers, elucidating molecular mechanisms, and identifying susceptible individuals. This presentation, titled “Multi-Omic Analysis Framework For Precision Environmental Health: A Case Study on Maternal Mercury, Childhood Fatty Liver Disease, and Multiple Omic Layers”, introduces a novel precision environmental health framework that combines multi-omics integration approaches with mediation analysis techniques, including high dimensional mediation, mediation with latent factors, and integrated/quasi-mediation. To illustrate the practical
application of this framework, we examine a case study involving 420 maternal-child pairs from the Human Early Life Exposome Project. This study focuses on the impacts of prenatal mercury exposure on children's risk of developing metabolic associated fatty liver disease, showcasing how integrating environmental data with multi-omic measurements can: uncover novel multi omic environmental disease associated biomarkers; elucidate biological mechanisms linking environment with disease; and identify of high-risk subgroups of individuals, characterized by unique combinations of exposure levels and omics profiles. Availability of material: All R code and resources are available through goodrich-lab.g....
9 окт 2024
