Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.

Nature genetics - 1 Nov 2023

Jiang Xilin, Zhang Martin Jinye, Zhang Yidong, Durvasula Arun, Inouye Michael, Holmes Chris, Price Alkes L, McVean Gil

Abstract excerpt

The analysis of longitudinal data from electronic health records (EHRs) has the potential to improve clinical diagnoses and enable personalized medicine, motivating efforts to identify disease subtypes from patient comorbidity information. Here we introduce an age-dependent topic modeling (ATM) method that provides a low-rank representation of longitudinal records of hundreds of distinct diseases in large EHR...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biological Specimen Banks
Share to Comorbidity

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Associations and Epidemiology

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Multifactorial Inheritance

Share to Risk Factors

Share to United Kingdom

Source

Open in PubMed Open full text

Identifiers

PMID: 37814053
DOI: 10.1038/s41588-023-01522-8
PMCID: PMC10632146

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.PMID 37814053Read ↗

Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic riskSemantic proximity Read ↗

Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic riskSemantic proximity Read ↗

Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic riskSemantic proximity Read ↗

Topic modelling with ICD10-informed priors identifies novel genetic loci associated with multimorbidities in UK BiobankSemantic proximity Read ↗

PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK BiobankSemantic proximity Read ↗

PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank.Semantic proximity Read ↗

Combining multimorbidity clustering with limited demographic information enables high-precision outcome predictionsSemantic proximity Read ↗

Efficient genome-wide association in biobanks using topic modeling identifies multiple novel disease loci.Semantic proximity Read ↗

Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK BiobankSemantic proximity Read ↗

Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality predictionSemantic proximity Read ↗

Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality predictionSemantic proximity Read ↗

A global overview of genetically interpretable comorbidities among common diseases in UK BiobankSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.