ReviewNature reviews. Genetics2016
Network biology concepts in complex disease comorbidities.
Review in Nature reviews. Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
192 citing papers in PubMed, 5 syntheses or guidelines pooled it, 339 citations in OpenAlex.
- A Comparative Transcriptomic Meta-Analysis Revealed Conserved Key Genes and Regulatory Networks Involved in Drought Tolerance in Cereal Crops.International journal of molecular sciences · 2021Pooled it
- Causal Relationship and Shared Genetic Loci between Psoriasis and Type 2 Diabetes through Trans-Disease Meta-Analysis.The Journal of investigative dermatology · 2021Pooled it
- MetaGSCA: A tool for meta-analysis of gene set differential coexpression.PLoS computational biology · 2021Pooled it
- A Meta-Analysis of Comparative Transcriptomic Data Reveals a Set of Key Genes Involved in the Tolerance to Abiotic Stresses in Rice.International journal of molecular sciences · 2019Pooled it
- Phenome-wide association studies across large population cohorts support drug target validation.Nature communications · 2018Pooled it
- Identification of heterogenous treatment response trajectories to anti-IL6 receptor treatment in rheumatoid arthritis.Scientific reports · 2020Trial
- AI-enabled engineering of hesperidin/ursodeoxycholic acid nanomedicine for synergistic treatment of drug-induced liver injury.Smart molecules : open access · 2026Article
- Rationally Designed Dual Kinase Inhibitors for Management of Obstructive Sleep Apnea-A Computational Study.Biomedicines · 2026Article
- Systems-level identification of conserved molecular drivers underlying the progression of alcoholic hepatitis and alcoholic cirrhosis and their therapeutic modulation by S-adenosyl-L-methionine.Frontiers in bioinformatics · 2026Article
- Association between goiter and type 2 diabetes in a Chinese population: a cross-sectional study using CHNS data.Frontiers in endocrinology · 2026Article
- GPCR systems coordinate cellular resilience against aging-associated stress.Frontiers in molecular biosciences · 2026Review
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- Delineating markers of disease-disease interaction: a systematic methodology and its application to multiple diabetes-helminth cohorts.BMC bioinformatics · 2025Article
- Disease-disease interactions: molecular links of neurodegenerative diseases with cancer, viral infections, and type 2 diabetes.Translational neurodegeneration · 2025Review
- Oral and Gut Microbial Hubs Associated With Reaction Threshold Interact With Circulating Immune Factors in Peanut Allergy.Allergy · 2025Article
- Sepsis toxicity network reconstruction-Dynamic signaling and multi-organ injury: A review.Biomolecules & biomedicine · 2025Review
- Patient stratification reveals the molecular basis of disease co-occurrences.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Introduction to correlation networks: Interdisciplinary approaches beyond thresholding.Physics reports · 2025Article
- Advancing edge-based clustering and graph embedding for biological network analysis: a case study in RASopathies.Briefings in bioinformatics · 2025Article
132 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The co-occurrence of diseases can inform the underlying network biology of shared and multifunctional genes and pathways. In addition, comorbidities help to elucidate the effects of external exposures, such as diet, lifestyle and patient care. With worldwide health transaction data now often being collected electronically, disease co-occurrences are starting to be quantitatively characterized. Linking network dynamics to the real-life, non-ideal patient in whom diseases co-occur and interact provides a valuable basis for generating hypotheses on molecular disease mechanisms, and provides knowledge that can facilitate drug repurposing and the development of targeted therapeutic strategies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.