PTL-PRS: an R package for transfer learning of polygenic risk scores with pseudovalidation.

Abstract excerpt

SUMMARY: Polygenic risk scores (PRSs) are essential tools for predicting individual phenotypic risk but often lack accuracy in non-European ancestry groups. Transfer Learning for Polygenic Risk Scores (TL-PRS) addresses this challenge by leveraging European PRSs to improve prediction in underrepresented ancestries but requires privacy-sensitive individual-level data and has low computational efficiency....

Topics

• Humans
• Software
• Multifactorial Inheritance
• Genetic Predisposition to Disease
• Machine Learning
• COVID-19
• Genetic Risk Score