A1452
Title: Improving the prediction of polygenic risk score: Overcoming challenges toward precision medicine
Authors: Yiming Luo - Columbia University (United States) [presenting]
Abstract: Polygenic risk score (PRS) is a linear weighted combination of estimated effects from genetic variants and is a promising tool for personalized medicine. Advanced PRS methods have been developed to aggregate signals across the genome by using various penalization regression techniques. However, significant challenges remain in improving the performance of PRS across traits and populations. The purpose is to present the general principles and leading methods addressing three key areas: enhancing the transferability of PRS across populations, leveraging information from correlated traits, and incorporating rare genetic variants. By tackling these challenges, the aim is to improve the accuracy and applicability of PRS, furthering its potential as a valuable tool in precision medicine and genetic risk prediction.
