Southern California Symposium on Polygenic Risk Scores Thursday September 19, 2024 9:00 AM (Pacific Daylight Time) Time Speaker Title 9:00 Jim Brody UC Irvine Welcome 9:10 Tiffany Amariuta-Bartell UC San Diego Polygenic risk prediction of gene expression levels reveals new disease-critical genes 9:40 Ruowang Li Cedars-Sinai Medical Center Leveraging Biobank-Linked EHR to Develop Polygenic Risk Scores 10:10 Kangcheng Hou Harvard SPH & UCLA Calibrated prediction intervals for polygenic scores across diverse contexts 10:20 Sini Nagpal Georgia Tech Dual exposure-by-polygenic score interactions highlight disparities across social groups in the proportion needed to benefit 10:30 Timothy Raben Michigan State Simple regressions but big polygenic score gains. 10:40 Yosuke Tanigawa Massachusetts Instituteof Technology Power of inclusion: Enhancing polygenic prediction with admixed individuals 10:50 Break 11:10 Jim Brody UC Irvine Compact Genome Encodings to improve Polygenic Risk Scores 11:40 Elior Rahmani UCLA Highly parameterized polygenic scores tend to overfit to population stratification via random effects 12:10 Hao Wu Michigan State University Improving cross-ancestry PGS prediction through transfer learning using Informative penalized regressions and Bayesian mixture models 12:20 Kenneth Westerman Massachusetts General Hospital Polygenic scores reflect genetic modification of the adiposity-cardiometabolic risk factor relationship 12:30 Scott Kulm Allelica Ancestry Biased Polygenic Risk Scores May Be Best Adjusted Within Individualized Neighborhoods 12:40 Yasaman Fatapour UC Irvine & Cedars-Sinai Developing a poly genic risk score for determining risk of different types of cancer using machine learning 12:50 Tiffany Amariuta-Bartell UC San Diego Closing
