A good gene-environment interaction is hard to find: new methods for GxE discovery
Identifying genetic variants that modify the effects of environmental exposures (and vice versa) is a central challenge for understanding disease mechanisms and susceptibility. Given the abundance of genetic data available from genome-wide association studies, there is great interest in conducting genome-wide searches for gene-environment interaction (GxE). However, very few replicable GxEs have been discovered to date, due in part to the limitations of traditional GxE methods. This symposium will bring together several investigators recently funded by NIH to overcome these challenges, using novel approaches and designs. Speakers will provide an overview of emerging approaches for GxE discovery including admixture-by-environment mapping, functional approaches, and variance prioritization procedures, with examples of applications to chronic disease epidemiology.
Marquitta White, University of California at San Francisco
Li Hsu, Fred Hutchinson Cancer Research Center and University of Washington
Lu Qi, Harvard T. H. Chan School of Public Health
Brandon Pierce, University of Chicago