Webinar #26-Genome-wide Association Study Summary Statistics. Where to find them and how to use them

This presentation will guide attendees with how to access genome-wide association study summary statistics and showcase resources available for annotating these summary data for follow-up analyses, including gene-based analyses, eQTL, and epigenetic annotation as well as causal variable analysis. We will guide attendees through components of a GWAS summary dataset and two excellent resources - FUMA and MASSIVE - that use these summary files as inputs to generate vast amounts of annotations that can be brought forward to answer translational research questions.
Funding provided by NIH/NIDA: DA054869, T32DA007261, K02DA032573.
Presented by:
Dr. Arpana Agrawal and Dr. Alexander S. Hatoum
Department of Psychiatry
Washington University School of Medicine
This webinar series is sponsored by the NIDA Center of Excellence in Omics, Systems Genetics, and the Addictome (P30 DA044223).