ArticleNature communications2020
Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transcriptomic meta-analysis characterizes molecular commonalities between psoriasis and obesity.Genes and immunity · 2024Pooled it
- Commonalities in frailty and psychopathology predict chronotype across severe mental disorders from a comorbidity perspective.Psychological medicine · 2026Article
- Multilayer network approaches to omics data integration in digital twins for cancer research.Frontiers in systems biology · 2026Review
- Sex-specific transcriptome similarity networks elucidate comorbidity relationships.Communications medicine · 2025Article
- Patient stratification reveals the molecular basis of disease co-occurrences.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- FooDrugs: a comprehensive food-drug interactions database with text documents and transcriptional data.Database : the journal of biological databases and curation · 2023Article
- Alzheimer's disease heterogeneity explained by polygenic risk scores derived from brain transcriptomic profiles.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Article
- Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data.Bioinformatics (Oxford, England) · 2023Article
- Network medicine: facilitating a new view on complex diseases.Frontiers in bioinformatics · 2023Article
- Utilizing graph machine learning within drug discovery and development.Briefings in bioinformatics · 2021Article
- A global overview of genetically interpretable multimorbidities among common diseases in the UK Biobank.Genome medicine · 2021Article
- Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients.Nature communications · 2020Article
- CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19.Network and systems medicine · 2020Article
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Authors and funding
11 authors.
Funding
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Abstract
Comorbidity is a medical condition attracting increasing attention in healthcare and biomedical research. Little is known about the involvement of potential molecular factors leading to the emergence of a specific disease in patients affected by other conditions. We present here a disease interaction network inferred from similarities between patients' molecular profiles, which significantly recapitulates epidemiologically documented comorbidities. Furthermore, we identify disease patient-subgroups that present different molecular similarities with other diseases, some of them opposing the general tendencies observed at the disease level. Analyzing the generated patient-subgroup network, we identify genes involved in such relations, together with drugs whose effects are potentially associated with the observed comorbidities. All the obtained associations are available at the disease PERCEPTION portal (http://disease-perception.bsc.es).
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