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Article

Modelling time-varying genetic effects on binary disease risk via functional Mendelian randomization.

Bioinformatics (Oxford, England) - 1 Aug 2026

Fontana Nicole, Secchi Piercesare, Di Angelantonio Emanuele, Ieva Francesca

Abstract excerpt

MOTIVATION: Genome-wide association studies have identified thousands of genetic variants associated with complex traits, establishing Mendelian randomization (MR) as a powerful framework for causal inference using variants as natural experiments. However, existing MR methods treat causal effects as static, relying on cross-sectional exposure measurements and ignoring how genetic predispositions to disease...

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Identifiers

PMID: 42635220
DOI: 10.1093/bioinformatics/btag442
PMCID: PMC13501298

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