ArticleScientific reports2018
Disease networks identify specific conditions and pleiotropy influencing multimorbidity in the general population.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 38 citations in OpenAlex.
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- 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
- Analyzing Comorbidity Patterns in Patients With Thyroid Disease Using Large-Scale Electronic Medical Records: Network-Based Retrospective Observational Study.Interactive journal of medical research · 2024Article
- Polygenic prediction of human longevity on the supposition of pervasive pleiotropy.Scientific reports · 2024Article
- Comorbidity patterns in cardiovascular diseases: the role of life-stage and socioeconomic status.Frontiers in cardiovascular medicine · 2024Article
- Polygenic prediction of human longevity on the supposition of pervasive pleiotropy.medRxiv : the preprint server for health sciences · 2023Article
- A network-based study reveals multimorbidity patterns in people with type 2 diabetes.iScience · 2023Article
- Comorbidity Patterns in Patients Newly Diagnosed With Colorectal Cancer: Network-Based Study.JMIR public health and surveillance · 2023Observational
- Network medicine: facilitating a new view on complex diseases.Frontiers in bioinformatics · 2023Article
- Familial aggregation of multimorbidity in Sweden: national explorative family study.BMJ medicine · 2023Article
- Prevalence of Periodontal Disease among Patients at the Outpatient Clinic of Internal Medicine in an Academic Hospital in The Netherlands: A Cross-Sectional Pilot Study.Journal of clinical medicine · 2022Article
- Biological mechanisms of aging predict age-related disease co-occurrence in patients.Aging cell · 2022Article
- Age- and Sex-Specific Differences in Multimorbidity Patterns and Temporal Trends on Assessing Hospital Discharge Records in Southwest China: Network-Based Study.Journal of medical Internet research · 2022Article
- Multimorbidity networks associated with frailty among middle-aged and older people with HIV.AIDS (London, England) · 2021Article
- Multimorbidity patterns in old adults and their associated multi-layered factors: a cross-sectional study.BMC geriatrics · 2021Article
- Increases in multimorbidity with weight class in the United States.Clinical obesity · 2021Article
- MorbiNet: multimorbidity networks in adult general population. Analysis of type 2 diabetes mellitus comorbidity.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multimorbidity is an emerging topic in public health policy because of its increasing prevalence and socio-economic impact. However, the age- and gender-dependent trends of disease associations at fine resolution, and the underlying genetic factors, remain incompletely understood. Here, by analyzing disease networks from electronic medical records of primary health care, we identify key conditions and shared genetic factors influencing multimorbidity. Three types of diseases are outlined: "central", which include chronic and non-chronic conditions, have higher cumulative risks of disease associations; "community roots" have lower cumulative risks, but inform on continuing clustered disease associations with age; and "seeds of bursts", which most are chronic, reveal outbreaks of disease associations leading to multimorbidity. The diseases with a major impact on multimorbidity are caused by genes that occupy central positions in the network of human disease genes. Alteration of lipid metabolism connects breast cancer, diabetic neuropathy and nutritional anemia. Evaluation of key disease associations by a genome-wide association study identifies shared genetic factors and further supports causal commonalities between nervous system diseases and nutritional anemias. This study also reveals many shared genetic signals with other diseases. Collectively, our results depict novel population-based multimorbidity patterns, identify key diseases within them, and highlight pleiotropy influencing multimorbidity.
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