Generalizability of polygenic prediction models: how is the R2 defined on test data?
Christian Staerk,
Hannah Klinkhammer,
Tobias Wistuba
et al.
Abstract:Background
Polygenic risk scores (PRS) quantify an individual’s genetic predisposition for different traits and are expected to play an increasingly important role in personalized medicine. A crucial challenge in clinical practice is the generalizability and transferability of PRS models to populations with different ancestries. When assessing the generalizability of PRS models for continuous traits, the $$R^2$$
R
2
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