Center for Computational Biology Seminar: Sohini Ramachandran, Associate Professor, Brown University

Seminar | May 1 | 4:30-5:30 p.m. | 125 Li Ka Shing Center

 Center for Computational Biology

Leveraging linkage disequilibrium to identify adaptive and disease-causing mutations

Abstract:
Correlation among genotypes in human population-genetic datasets complicates the localization of both adaptive mutations and disease-causing mutations. I will describe our latest efforts to develop new methods for localizing adaptive and disease-causing mutations, motivated by (1) incorporating summary statistics at various genomic scales into selection scans, (2) bridging the gap between polygenic and omnigenic complex traits, and (3) testing for differential genetic architecture for the same trait across ancestries.

Bio:
Sohini Ramachandran is Associate Professor of Ecology and Evolutionary Biology and Director of Brown University's Center for Computational Molecular Biology. During Spring 2019, she is also a Fellow in the Natural Sciences Programme at the Swedish Collegium for Advanced Study in Uppsala, Sweden. Prior to beginning her faculty appointment at Brown University in 2010, Sohini spent 3 years as a Junior Fellow at the Harvard Society of Fellows and postdoctoral fellow in Professor John Wakeley’s group at the Harvard University Department of Organismic and Evolutionary Biology. She completed her PhD in 2007 with Marcus Feldman at Stanford University’s Department of Biological Sciences. Sohini's research has been funded by the National Science Foundation and National Institutes of Health, and she was named a Pew Scholar in the Biomedical Sciences and an Alfred P. Sloan Research Fellow.

 Light refreshments will be provided at reception from 4:00pm - 4:30pm, 125 LKS foyer.

 ccbadmin@berkeley.edu