ArticleGenome medicine2021
A global overview of genetically interpretable multimorbidities among common diseases in the UK Biobank.
Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.
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Who cites it
50 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Genetic correlation and causal relationships between autoimmune thyroid disease and major depressive disorders.Acta neuropsychiatrica · 2025Pooled it
- Berberine and health outcomes: an overview of systematic reviews.BMC complementary medicine and therapies · 2025Pooled it
- A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care data.EBioMedicine · 2025Pooled it
- A digital marker for stratifying cardiovascular metabolic comorbidities among the middle-aged and elderly adults.PLOS digital health · 2026Article
- Neurodevelopmental copy-number variants increase risk of internalizing and cardiometabolic multimorbidity: Findings from the UK Biobank.American journal of human genetics · 2026Article
- Primary care diagnosed multimorbidity and risk of venous thromboembolism in Sweden.International journal of cardiology. Cardiovascular risk and prevention · 2026Article
- Genetic perspectives on the comorbidity of anxiety and mood disorders with cardiovascular disease.Nature cardiovascular research · 2026Review
- Deciphering cell type-specific causal genetic effects on brain imaging-derived phenotypes and disorders with single-cell Mendelian randomization.PLoS computational biology · 2026Article
- A foundational model encodes deep phenotyping data and enables diverse downstream applications.NPJ digital medicine · 2026Article
- Spatial Epidemiology of the Ischemic Heart Disease-Asthma Comorbidity: A Global Analysis of Burden Patterns, Risk Drivers, and a Composite Risk Index.Risk management and healthcare policy · 2026Article
- Perioperative management of a patient with tuberculous destroyed lung and ascending aortic aneurysm undergoing a Bentall procedure: a case report.Frontiers in cardiovascular medicine · 2026Article
- Sex-specific transcriptome similarity networks elucidate comorbidity relationships.Communications medicine · 2025Article
- Exploring the genetic architecture of multiple long-term conditions using a genome-wide association study in the UK Biobank population.Scientific reports · 2025Article
- Sex and age-specific multimorbidity profiles among working-age inpatients in China: a comparative network analysis.BMC public health · 2025Article
- Mapping the current research landscape of metformin in cancer based on bibliometric analysis.Discover oncology · 2025Article
- Dissecting cross-population polygenic heterogeneity across respiratory and cardiometabolic diseases.Nature communications · 2025Article
- Multimorbidity patterns of mental disorders and physical diseases of adults in northeast China: a cross-sectional network analysis.Epidemiology and psychiatric sciences · 2025Article
- UKB-MDRMF: a multi-disease risk and multimorbidity framework based on UK biobank data.Nature communications · 2025Article
- Sex- and age-specific multimorbidity networks in middle-aged inpatients: a network-based comparative study between China and the United Kingdom.Innovation in aging · 2025Article
- Multimorbidity, comorbidity, frailty, and venous thromboembolism.Haematologica · 2024Review
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5 authors.
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Abstract
backgroundMultimorbidities greatly increase the global health burdens, but the landscapes of their genetic risks have not been systematically investigated.
methodsWe used the hospital inpatient data of 385,335 patients in the UK Biobank to investigate the multimorbid relations among 439 common diseases. Post-GWAS analyses were performed to identify multimorbidity shared genetic risks at the genomic loci, network, as well as overall genetic architecture levels. We conducted network decomposition for the networks of genetically interpretable multimorbidities to detect the hub diseases and the involved molecules and functions in each module.
resultsIn total, 11,285 multimorbidities among 439 common diseases were identified, and 46% of them were genetically interpretable at the loci, network, or overall genetic architecture levels. Multimorbidities affecting the same and different physiological systems displayed different patterns of the shared genetic components, with the former more likely to share loci-level genetic components while the latter more likely to share network-level genetic components. Moreover, both the loci- and network-level genetic components shared by multimorbidities converged on cell immunity, protein metabolism, and gene silencing. Furthermore, we found that the genetically interpretable multimorbidities tend to form network modules, mediated by hub diseases and featuring physiological categories. Finally, we showcased how hub diseases mediating the multimorbidity modules could help provide useful insights for the genetic contributors of multimorbidities.
conclusionsOur results provide a systematic resource for understanding the genetic predispositions of multimorbidities and indicate that hub diseases and converged molecules and functions may be the key for treating multimorbidities. We have created an online database that facilitates researchers and physicians to browse, search, or download these multimorbidities ( https://multimorbidity.comp-sysbio.org ).
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