We developed a computational, age-dependent topic model to identify longitudinal comorbidity patterns from hospital diagnosis data. The inferred comorbidity patterns are robust across UK and US populations and identify disease subtypes with distinct genetic profiles.
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This is a summary of: Jiang, X. et al. Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk. Nat. Genet. https://doi.org/10.1038/s41588-023-01522-8 (2023).
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Identifying genetic subtypes of disease from hospital diagnosis records. Nat Genet 55, 1788–1789 (2023). https://doi.org/10.1038/s41588-023-01521-9
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DOI: https://doi.org/10.1038/s41588-023-01521-9
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