ArticleNature communications2022
Tissue-specific multi-omics analysis of atrial fibrillation.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05442970 (An Epidemiologic, Prospective, Single Center Cohort Study for the Improvement of Atrial Fibrillation Risk Stratification in High Risk Individuals), which is not on this map. Cited by 30 papers, 3 of them syntheses that pooled it.
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.
An Epidemiologic, Prospective, Single Center Cohort Study for the Improvement of Atrial Fibrillation Risk Stratification in High Risk Individuals
Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Freely available genomic datasets for atrial fibrillation research: current resources and analytical pipeline.Frontiers in genetics · 2026Pooled it
- The transcriptional landscape of atrial fibrillation: A systematic review and meta-analysis.PloS one · 2025Pooled it
- Integration ofFrontiers in immunology · 2023Pooled it
- The horse cardiac transcriptome: Moving towards a molecular understanding of atrial fibrillation.Equine veterinary journal · 2026Article
- Integrated Genomic and Transcriptomic Analysis Reveals the Genetic Basis and Causal Association Between Obesity and Atrial Fibrillation.Diabetes, obesity & metabolism · 2026Article
- Proteogenomics in human populations.Nature reviews. Genetics · 2026Review
- Atrial Cardiomyopathy and Atrial Fibrillation: Insight From Histopathological Analysis of Atrial Biopsies.Korean circulation journal · 2026Review
- Atrial Fibrillation and Primary Cilia-Associated Genes: The Role of CEP68.International journal of molecular sciences · 2026Article
- Atrial fibroblast metabolic reprogramming in atrial fibrillation: a candidate mechanism within multicellular atrial cardiomyopathy.Frontiers in cardiovascular medicine · 2026Review
- Atrial fibrillation: from pathogenesis to novel treatment options.Molecular biomedicine · 2025Review
- Common Methylenetetrahydrofolate Reductase PolymorphismDiagnostics (Basel, Switzerland) · 2025Article
- The proteogenomic landscape of the human kidney and implications for cardio-kidney-metabolic health.Nature medicine · 2025 · on this mapArticle
- Progress of AI-Driven Drug-Target Interaction Prediction and Lead Optimization.International journal of molecular sciences · 2025Review
- Review
- Review
- Multi-omics approaches for understanding gene-environment interactions in noncommunicable diseases: techniques, translation, and equity issues.Human genomics · 2025Review
- Precision cardiovascular medicine: shifting the innovation paradigm.Frontiers in science · 2025Article
- The Interplay of Diet, Genome, Metabolome, and Gut Microbiome in Cardiovascular Disease: A Narrative Review.Current medicinal chemistry · 2025Review
- Microarray-based analysis reveals a novel role of the miRNA-613/SNAI2/CXCR4 axis in atrial fibrillation.PloS one · 2025Article
- PITX2 deficiency leads to atrial mitochondrial dysfunction.Cardiovascular research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) for atrial fibrillation (AF) have uncovered numerous disease-associated variants. Their underlying molecular mechanisms, especially consequences for mRNA and protein expression remain largely elusive. Thus, refined multi-omics approaches are needed for deciphering the underlying molecular networks. Here, we integrate genomics, transcriptomics, and proteomics of human atrial tissue in a cross-sectional study to identify widespread effects of genetic variants on both transcript (cis-eQTL) and protein (cis-pQTL) abundance. We further establish a novel targeted trans-QTL approach based on polygenic risk scores to determine candidates for AF core genes. Using this approach, we identify two trans-eQTLs and five trans-pQTLs for AF GWAS hits, and elucidate the role of the transcription factor NKX2-5 as a link between the GWAS SNP rs9481842 and AF. Altogether, we present an integrative multi-omics method to uncover trans-acting networks in small datasets and provide a rich resource of atrial tissue-specific regulatory variants for transcript and protein levels for cardiovascular disease gene prioritization.
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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.