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Improving Polygenic Score Prediction for Underrepresented Groups Through Transfer Learning

2025-10-09 genetic and genomic medicine Title + abstract only
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The advent of big data from GWAS consortia and biobanks led to remarkable improvements in polygenic score (PGS) prediction accuracy. However, most PGS were derived using data from Europeans (EU) and performed poorly when used to predict phenotypes of non-Europeans. Transfer Learning (TL) is a technique by which knowledge gained using data from one population is used to improve a models performance in another population. Here, we present GPTL, an R-package implementing three methods to build PGS ...

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