Title: Polygenic Risk Prediction and Equitable Disease Prevention
Presenter: Nilanjan Chatterjee, PhD, Bloomberg School of Public Health, Johns Hopkins University
Date and Time: Thursday, April 22, 2:00 p.m. – 4:00 p.m. Eastern Time
Sponsor: Section on Risk Analysis
Registration Deadline: Wednesday, April 21, at 12:00 p.m. Eastern time
Description:
Recent discoveries from large scale genome-wide association studies (GWAS) have raised the prospect of using polygenic risk scores in routine health care setting for the prediction of future incidence of large variety of complex diseases. However, as GWAS studies to date have been heavily biased towards European origin populations, current polygenic risk scores often underperform in non-European populations and thus use of them can further exacerbate healthcare inequality. In this talk, I will review simple and advanced statistical methods for generating polygenic risk score using high-dimensional SNP data and describe theoretical characterizations of their expected performance, both in the population that underlies original studies and in a different population that is expected to have different distribution of allele frequencies and linkage disequilibrium (SNP-correlation). I will further describe novel Bayesian and machine learning based methods for building polygenic risk scores that can borrow information across GWAS studies of different ethnic groups, and thus makes best use of available data to generate more powerful polygenic risk scores across different ethnic groups. I will demonstrate potential utility for PRS in precision medicine using our recent studies on breast cancer.
Registration:
ASA Members: $20
Student ASA Member: $15
Nonmembers: $35
Each registration is allowed one web connection. Sound is received via audio streaming from your computer's speakers.
Register:
https://www.amstat.org/ASA/Education/Web-Based-Lectures.aspx
------------------------------
Rajeshwari Sundaram
Senior Investigator
National Institute of Child Health and Human Development
------------------------------