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Article

A Bayesian framework for longitudinal EHR and genetic discovery.

Nature - 1 Aug 2026

Urbut Sarah M, Ding Yi, Nakao Tetsushi, Koyama Satoshi, Misra Anika, Jiang Xilin, Harish Achyutha, Gaffney Leslie, Hornsby Whitney E, Smoller Jordan W, Gusev Alexander, Natarajan Pradeep, Parmigiani Giovanni

Abstract excerpt

Electronic health records (EHRs) provide rich longitudinal disease histories, but existing methods for analysing these data typically treat diseases in isolation1 and rarely integrate germline genetics. Here we present ALADYNOULLI, a Bayesian generative framework that jointly models longitudinal EHR diagnoses, age and polygenic risk to recover latent time-varying disease signatures and patient-specific signature...

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PMID: 42457967
DOI: 10.1038/s41586-026-10780-5
PMCID: PMC13518248

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