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Webinar: Biostatistics & Bioinformatics Seminar – ‘Integrative genomics approaches to translate genetic findings to therapeutics for complex diseases’

November 9, 12:00 pm to 1:00 pm

Presented by: Dr. Bingshan Li, PhD, Associate Professor, Molecular Physiology and Biophysics, Vanderbilt School of Medicine

About the presentation: Genome-wide association studies (GWAS) identified numerous genetic loci for complex diseases, providing novel targets for drug development. The translation of GWAS findings to therapeutics, however, has proven challenging. In this talk, I will present a few projects to tackle the challenges. One challenge is that the risk genes in GWAS loci are generally unknown, and I will describe a Bayesian framework that integrates multiple-omcis data and networks to identify risk genes for the GWAS loci, with its application to schizophrenia. We use this integrative framework to identify risk genes for other diseases, e.g. type 2 diabetes and Alzheimer’s disease, and use the genetic signature in combination with perturbation experiment data in CMap and L1000 to nominate candidate drugs. We further validate the candidate drugs in real world patient’s data in electronic health records.

Attend in-person in ASB, room 2200G or join via phone or Zoom.
To join via phone, dial 929-205-6099
To join via Zoom, visit
The meeting ID is 948 6098 2030 and the passcode is 320367


November 9
12:00 pm to 1:00 pm
Event Category:


Department of Public Health Sciences
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