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Article

Individualized Uncertainty Quantification in Polygenic Risk Scores Using Conformalized Quantile Regression

2025-10-14

Abstract excerpt

Polygenic risk scores (PRS) are widely used in post-GWAS analyses to predict complex traits across humans, animals, and plants. While significant progress has been made in developing new PRS methods, much less attention has been given to quantifying the uncertainty associated with these predictions. In this work, we propose a method for individualized uncertainty quantification based on quantile regression. When p...

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Identifiers and source

Literature Corpus work
754513e5-175d-5b3d-a5a6-f1aaf8e1c684
DOI
10.1101/2025.10.13.682102
Open publication

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Individualized Uncertainty Quantification in Polygenic Risk Scores Using Conformalized Quantile RegressionDOI 10.1101/2025.10.13.682102
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