ArticleBMC genomics2023
Identification of the susceptible genes and mechanism underlying the comorbid presence of coronary artery disease and rheumatoid arthritis: a network modularization analysis.
Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Analysis of the Genetic Comorbid Mechanisms of Type 2 Diabetes, Alzheimer's Disease, and Hypertension Using Network Modularization.BioMed research international · 2026Article
- Pharmacoepigenomic effects of anti-hypertensive drugs on DNA methylation and its implication to drug response and side effects.Epigenomics · 2025Article
- A Review of Connecting Bioinformatic Techniques to Rheumatoid Arthritis and its Associated Comorbidities.Current rheumatology reviews · 2025Review
- Integrated Network Pharmacology, Machine Learning and Experimental Validation to Identify the Key Targets and Compounds ofOncoTargets and therapy · 2025Article
- Analysis of risk factors and the predictive value of a nomogram model for coronary heart disease in patients with rheumatoid arthritis.Frontiers in cardiovascular medicine · 2025Article
- Identification of novel biomarkers based on lipid metabolism-related molecular subtypes for moderately severe and severe acute pancreatitis.Lipids in health and disease · 2024Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThe comorbidities of coronary artery disease (CAD) and rheumatoid arthritis (RA) are mutual risk factors, which lead to higher mortality, but the biological mechanisms connecting the two remain unclear. Here, we aimed to identify the risk genes for the comorbid presence of these two complex diseases using a network modularization approach, to offer insights into clinical therapy and drug development for these diseases.
methodThe expression profile data of patients CAD with and without RA were obtained from the GEO database (GSE110008). Based on the differentially expressed genes (DEGs), weighted gene co-expression network analysis (WGCNA) was used to construct a gene network, detect co-expression modules, and explore their relation to clinical traits. The Z
resultBased on the 278 DEGs obtained, 41 modules were identified, of which 17 and 24 modules were positively and negatively correlated with the comorbid occurrence of CAD and RA (CAD&RA), respectively. Thirteen modules with Z
Indexed as
Identifiers
What Socratic 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 Socratic graph.