Current web-based tools used for visualizing and browsing through genome-wide association study (GWAS) summary-level results have limited capabilities for intuitively displaying stratified GWAS results. This limitation can hinder research on the genetics of complex human diseases and traits, especially surrounding ancestry and sex variables. This research presentation introduces PheWeb2, an enhanced web-based tool which offers intuitive and efficient interactive navigation and visual comparison across stratified GWAS results within a single framework. To exemplify the utility of PheWeb2, we apply it to data from the Canadian Longitudinal Study on Aging (CLSA).
Sarah Gagliano Taliun is an Associate Professor at the Department of Medicine and the Department of Neurosciences at the Université de Montréal. She leads a computational genetics research group located at the Research Centre of the Montreal Heart Institute. Dr. Gagliano Taliun completed her PhD at the University of Toronto, and a postdoctoral fellowship at the University of Michigan. Her research group applies computational tools and approaches to identify and better understand genetic factors contributing to complex human traits of aging. She holds a Junior 2 award from the FRQS, as well as funding from CIHR and the Alzheimer’s Society of Canada.
