ArticleJournal of the American Heart Association2025
Multi-Omic Insight Into the Molecular Networks in the Pathogenesis of Coronary Artery Disease.
Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Broiler Ascites Syndrome as a Potential Spontaneous Animal Model for Human Pulmonary Arterial Hypertension: A Narrative Review.Life (Basel, Switzerland) · 2026Review
- An Integrative Review of the Cardiovascular Disease Spectrum: Integrating Multi-Omics and Artificial Intelligence for Precision Cardiology.Diseases (Basel, Switzerland) · 2026Review
- Mitochondrial Gene Regulation and Pain Susceptibility: A Multi-Omics Causal Inference Study.International journal of molecular sciences · 2025Article
- Single-cell transcriptome-wide Mendelian randomization and colocalization analyses uncover cell-specific mechanisms in atherosclerotic cardiovascular disease.American journal of human genetics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenome-wide association studies have revealed numerous loci associated with coronary artery disease (CAD). However, some potential causal/risk genes remain unidentified, and causal therapies are lacking. METHODS AND
resultsWe integrated multi-omics data from gene methylation, expression, and protein levels using summary data-based Mendelian randomization and colocalization analysis. Candidate genes were prioritized based on protein-level associations, colocalization probability, and links to methylation and expression. Single-cell RNA sequencing data were used to assess differential expression in the coronary arteries of patients with CAD.
conclusionsOur findings provide multi-omics evidence suggesting that
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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 Socratic graph.