Learning germline influences on immunotherapy toxicities from thousands of sequenced tumours
Please contact adminsupport@oncology.ox.ac.uk for the Microsoft Teams link.
I am an Associate Professor of Medicine at the Dana-Farber Cancer Institute and Harvard Medical School. My lab is focused on statistical genetics approaches to understand the mechanisms of cancer risk, germline-somatic interactions, and response to treatment. We have led the development the Transcriptome-Wide Association (TWAS) and Regulome/Cistrome-Wide Association methodologies to identify cancer risk mechanisms using molecular and epigenetic data. We have also developed multiple methods to infer genetic data from large-scale tumor sequencing and incorporate Real World clinical outcomes for biomarker analyses, including the study of host influences on immunotherapy outcomes. Earlier in my training, I also worked on algorithms to identify genetic relatedness in large data, such as the GERMLINE method for efficient Identity By Descent detection.
Date:
27 February 2023, 14:00 (Monday, 7th week, Hilary 2023)
Venue:
Microsoft Teams
Speaker:
Alexander Gusev
Organising department:
Department of Oncology
Organiser contact email address:
adminsupport@oncology.ox.ac.uk
Host:
Dr Benjamin Fairfax (Dept of Oncology, WIMM)
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Annabelle Ziegler
