ArticleCell systems2016
Cross-Tissue Regulatory Gene Networks in Coronary Artery Disease.
Article in Cell systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 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
87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 150 citations in OpenAlex.
- FHL5 Controls Vascular Disease-Associated Gene Programs in Smooth Muscle Cells.Circulation research · 2023Pooled it
- Plasma cortisol-linked gene networks in hepatic and adipose tissues implicate corticosteroid-binding globulin in modulating tissue glucocorticoid action and cardiovascular risk.Frontiers in endocrinology · 2023Pooled it
- Gene regulatory network analysis identifies auranofin as an anti-atherosclerotic drug.Nature communications · 2026Article
- Circulating causal protein networks linked to future risk of myocardial infarction.Nature communications · 2025Article
- SALVE: prediction of interorgan communication with transcriptome latent space representation.American journal of physiology. Heart and circulatory physiology · 2025Article
- A macrophage gene-regulatory network linked to clinical severity of coronary artery disease : The STARNET and NGS-PREDICT primary blood macrophage studies.Basic research in cardiology · 2025Article
- Emerging Technologies and Future Directions in Interorgan Crosstalk Cardiometabolic Research.Circulation research · 2025Review
- Macrophage HM13/SPP Enhances Foamy Macrophage Formation and Atherogenesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Single-cell RNA sequencing reveals sex differences in the subcellular composition and associated gene-regulatory network activity of human carotid plaques.Nature cardiovascular research · 2025Article
- A computational framework for detecting inter-tissue gene-expression coordination changes with aging.Scientific reports · 2025Article
- Transcriptional response to combination antiretroviral therapy predicts side effects and novel targets.Frontiers in pharmacology · 2025Article
- Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables.PLoS genetics · 2024Article
- Article
- Integrative gene regulatory network analysis discloses key driver genes of fibromuscular dysplasia.Nature cardiovascular research · 2024Article
- Review
- Article
- Predicting the genetic component of gene expression using gene regulatory networks.Bioinformatics advances · 2024Article
- Construction of a co-expression network affecting intramuscular fat content and meat color redness based on transcriptome analysis.Frontiers in genetics · 2024Article
- Never a dull enzyme, RNA polymerase II.Transcription · 2023Review
- Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis.Nature cardiovascular research · 2023Article
27 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
18 authors at 7 institutions in 4 countries.
Funding
Abstract
Inferring molecular networks can reveal how genetic perturbations interact with environmental factors to cause common complex diseases. We analyzed genetic and gene expression data from seven tissues relevant to coronary artery disease (CAD) and identified regulatory gene networks (RGNs) and their key drivers. By integrating data from genome-wide association studies, we identified 30 CAD-causal RGNs interconnected in vascular and metabolic tissues, and we validated them with corresponding data from the Hybrid Mouse Diversity Panel. As proof of concept, by targeting the key drivers AIP, DRAP1, POLR2I, and PQBP1 in a cross-species-validated, arterial-wall RGN involving RNA-processing genes, we re-identified this RGN in THP-1 foam cells and independent data from CAD macrophages and carotid lesions. This characterization of the molecular landscape in CAD will help better define the regulation of CAD candidate genes identified by genome-wide association studies and is a first step toward achieving the goals of precision medicine.
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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.