ArticleGenome medicine2014
Modules, networks and systems medicine for understanding disease and aiding diagnosis.
Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 4 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
98 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- An algorithm-based meta-analysis of genome- and proteome-wide data identifies a combination of potential plasma biomarkers for colorectal cancer.Scientific reports · 2019Pooled it
- Pooled it
- Targeted Sequencing and Meta-Analysis of Preterm Birth.PloS one · 2016Pooled it
- Personalized respiratory medicine: exploring the horizon, addressing the issues. Summary of a BRN-AJRCCM workshop held in Barcelona on June 12, 2014.American journal of respiratory and critical care medicine · 2015Pooled it
- A module-based approach for post-omics, post-GWAS network-based gene classification.Bioinformatics (Oxford, England) · 2026Article
- A susceptibility network analysis of disease trajectories leading to multiple sclerosis: A nationwide cohort study.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Epstein-Barr Virus, Lower Vitamin D, Low Sun Exposure, and HLA-DRB1*1501 Risk Variant Share Common Epigenetic Pathways Leading to Multiple Sclerosis Onset.Annals of neurology · 2026Article
- An integrated drug repositioning analysis identifies rosiglitazone as a treatment for sarcopenia.Communications biology · 2026Article
- Integrated cross-organ transcriptomic analysis uncovers conserved gene signatures predictive of allograft rejection.PloS one · 2026Article
- Multiscale networks in Alzheimer's disease identify brain hypometabolism as central across biological scales.PLoS computational biology · 2025Article
- Unlocking biological insights from differentially expressed genes: Concepts, methods, and future perspectives.Journal of advanced research · 2025Review
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- Dose-Weighted Network Pharmacology: Evaluating Traditional Chinese Medicine Formulations for Lumbar Disc Herniation.Journal of inflammation research · 2025Article
- Network Medicine-Based Strategy Identifies Maprotiline as a Repurposable Drug by Inhibiting PD-L1 Expression via Targeting SPOP in Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- LIMO-GCN: a linear model-integrated graph convolutional network for predicting Alzheimer disease genes.Briefings in bioinformatics · 2024Article
- Network Medicine: A Potential Approach for Virtual Drug Screening.Pharmaceuticals (Basel, Switzerland) · 2024Review
- An interactive atlas of genomic, proteomic, and metabolomic biomarkers promotes the potential of proteins to predict complex diseases.Scientific reports · 2024Article
- An interactive atlas of genomic, proteomic, and metabolomic biomarkers promotes the potential of proteins to predict complex diseases.Research square · 2024Article
- Multiscale networks in multiple sclerosis.PLoS computational biology · 2024Article
- Toxicogenomics Approaches to Address Toxicity and Carcinogenicity in the Liver.Toxicologic pathology · 2023Review
38 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
17 authors.
Funding
Abstract
Many common diseases, such as asthma, diabetes or obesity, involve altered interactions between thousands of genes. High-throughput techniques (omics) allow identification of such genes and their products, but functional understanding is a formidable challenge. Network-based analyses of omics data have identified modules of disease-associated genes that have been used to obtain both a systems level and a molecular understanding of disease mechanisms. For example, in allergy a module was used to find a novel candidate gene that was validated by functional and clinical studies. Such analyses play important roles in systems medicine. This is an emerging discipline that aims to gain a translational understanding of the complex mechanisms underlying common diseases. In this review, we will explain and provide examples of how network-based analyses of omics data, in combination with functional and clinical studies, are aiding our understanding of disease, as well as helping to prioritize diagnostic markers or therapeutic candidate genes. Such analyses involve significant problems and limitations, which will be discussed. We also highlight the steps needed for clinical implementation.
Identifiers
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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.