ArticleNature genetics2018
Biobank-driven genomic discovery yields new insight into atrial fibrillation biology.
Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 532 papers, 15 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.
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Who cites it
532 citing papers in PubMed, 15 syntheses or guidelines pooled it.
- Genome-Wide Association Studies of Hospitalized Influenza Identify Four Risk Loci and Reveal Shared and Unique Genetic Factors Compared With COVID-19.Influenza and other respiratory viruses · 2026Pooled it
- Freely available genomic datasets for atrial fibrillation research: current resources and analytical pipeline.Frontiers in genetics · 2026Pooled it
- Genetic susceptibility to uric acid and selected cardiovascular outcomes: a systematic review and meta-analysis of Mendelian randomization studies.Frontiers in endocrinology · 2026Pooled it
- Gut microbiome and atrial fibrillation: mechanistic insights metabolites and comorbidities. Systematic review.Gut microbes · 2025Pooled it
- Inflammatory cytokines are associated with stroke and risk factors of cerebrovascular diseases: a Mendelian randomization study.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Pooled it
- Genomic data-driven framework for drug target discovery in atrial fibrillation.Journal of translational medicine · 2025Pooled it
- Circulating Proteomics and Risk of Atrial Fibrillation: A Systematic Review of Cohort Studies.Journal of cellular and molecular medicine · 2025Pooled it
- Pooled it
- Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation.Nature communications · 2025Pooled it
- Rare genetic variants involved in increased risk of paroxysmal atrial fibrillation in a Japanese population.Scientific reports · 2025Pooled it
- Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases.Nature genetics · 2025Pooled it
- Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk.Nature genetics · 2025Pooled it
- Genetic insights into cardiac conduction disorders from genome-wide association studies.Human genomics · 2025Pooled it
- Identification ofDepression and anxiety · 2025Pooled it
- Mendelian randomization study on insulin resistance and risk of hypertension and cardiovascular disease.Scientific reports · 2024Pooled it
- Biomarker-based prediction of sinus rhythm in atrial fibrillation patients: the EAST-AFNET 4 biomolecule study.European heart journal · 2024Trial
- Genetic overlap between estimated glomerular filtration rate and cardiovascular disease identifies potential targets for cardiorenal syndrome.Renal failure · 2026Article
- Prediction of Atrial Fibrillation Risk Through the Integration of Genetic Information and Artificial Intelligence-Based Electrocardiogram Data.Journal of arrhythmia · 2026Article
- Integrating Genomics and Proteomics to Identify Causal Proteins and Biologic Pathways for Incident Atrial Fibrillation in CKD.Journal of the American Society of Nephrology : JASN · 2026Article
- Genetic links between multimorbidity and human aging.GeroScience · 2026Article
472 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
49 authors.
Funding
Abstract
To identify genetic variation underlying atrial fibrillation, the most common cardiac arrhythmia, we performed a genome-wide association study of >1,000,000 people, including 60,620 atrial fibrillation cases and 970,216 controls. We identified 142 independent risk variants at 111 loci and prioritized 151 functional candidate genes likely to be involved in atrial fibrillation. Many of the identified risk variants fall near genes where more deleterious mutations have been reported to cause serious heart defects in humans (GATA4, MYH6, NKX2-5, PITX2, TBX5)
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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.