PennPRS: a centralized cloud computing platform for efficient polygenic risk score training in precision medicine.

ABSTRACT: Polygenic risk scores (PRS) are becoming increasingly vital for risk prediction and stratification in precision medicine. However, PRS model training presents significant challenges for broader adoption of PRS, including limited access to computational resources, difficulties in implementing advanced PRS methods, and availability and privacy concerns over individual-level genetic data. Cloud computing provides a promising solution with centralized computing and data resources. Here we introduce PennPRS (https://pennprs.org), a scalable cloud computing platform for online PRS model training in precision medicine. We developed novel pseudo-training algorithms for multiple PRS methods and ensemble approaches, enabling model training without requiring individual-level data. These methods were

SUBMITTER: Jin J 

PROVIDER: S-EPMC11844566 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature