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Article

Genetics-driven risk predictions leveraging the Mendelian randomization framework.

Genome research - 11 Oct 2024

Sens Daniel, Shilova Liubov, Gräf Ludwig, Grebenshchikova Maria, Eskofier Bjoern M, Casale Francesco Paolo

Abstract excerpt

Accurate predictive models of future disease onset are crucial for effective preventive healthcare, yet longitudinal data sets linking early risk factors to subsequent health outcomes are limited. To overcome this challenge, we introduce a novel framework, Predictive Risk modeling using Mendelian Randomization (PRiMeR), which utilizes genetic effects as supervisory signals to learn disease risk predictors without...

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Identifiers

PMID: 39332904
DOI: 10.1101/gr.279252.124
PMCID: PMC11529896

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