Biomedical Data Scientist Speaks on Polygenic Risk Scores in Cancer Prevention

Dr. Nilanjan Chatterjee is known for foundational and methodological contributions to multiple areas of modern biomedical data science. These areas include large-scale analysis of genetic associations, gene-environment interactions, polygenic risk scores, and predictive model building by synthesizing information from multiple data sources. His collaborative research has provided insight into genetic architecture of risks, the role of gene-environment interactions, and the utility of polygenic risk scores across a broad spectrum of cancers.

This webinar is part of the Cancer Prevention and Control Colloquia Series, hosted by the NCI Cancer Prevention Fellowship Program, and features current research findings from guest researchers from a variety of research disciplines. Topics cover current challenges and methods used by investigators to address gaps, advance the field of cancer prevention and control, and promote the application of successful strategies.