ArticleCirculation research2020
Monogenic and Polygenic Contributions to Atrial Fibrillation Risk: Results From a National Biobank.
Article in Circulation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 7 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
78 citing papers in PubMed, 7 syntheses or guidelines pooled it, 124 citations in OpenAlex.
- Freely available genomic datasets for atrial fibrillation research: current resources and analytical pipeline.Frontiers in genetics · 2026Pooled it
- Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese population.Nature communications · 2025Pooled it
- Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk.Nature genetics · 2025Pooled it
- Guideline
- 2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines.Journal of the American College of Cardiology · 2024Guideline
- Genome-wide association analyses identify new Brugada syndrome risk loci and highlight a new mechanism of sodium channel regulation in disease susceptibility.Nature genetics · 2022Pooled it
- Association BetweenFrontiers in cardiovascular medicine · 2020Pooled it
- Effects of SGLT2 inhibition on incident heart failure in carriers of cardiomyopathy-associated genetic variants.Nature medicine · 2026Trial
- Prediction of Atrial Fibrillation Risk Through the Integration of Genetic Information and Artificial Intelligence-Based Electrocardiogram Data.Journal of arrhythmia · 2026Article
- Understanding the Diseased Atria.Physiology (Bethesda, Md.) · 2026Review
- Atrial Cardiomyopathy: Pathophysiology, Diagnostic Approaches, and Prognostic Implications-A Narrative Review.Journal of clinical medicine · 2026Review
- Transcript-aware rare genetic variant association analyses of cardiopulmonary traits in participants from the All of Us Research Program.Nature communications · 2026Article
- Capturing multi-disease states on a spectrum with machine learning and routine clinical data.Med (New York, N.Y.) · 2026Article
- Prioritizing Discovery and Advancements in Arrhythmia Therapies: NIH/NHLBI Workshop.JACC. Clinical electrophysiology · 2026Review
- Multi-trait polygenic risk scores improve genomic prediction of atrial fibrillation across diverse ancestries.Nature communications · 2026Article
- Genetic Predisposition to Lone Atrial Fibrillation and the Causal Effect on Cardiovascular Diseases: A Mendelian Randomization Study.Biomedicines · 2026Article
- A titin missense variant drives atrial electrical remodeling and is associated with atrial fibrillation.eLife · 2026Article
- Functional Validation of a Novel HomozygousHuman mutation · 2026Article
- Mapping rare protein-coding variants on multi-organ imaging traits.Nature communications · 2025Article
- What Should a Clinical Cardiologist Know About Cardiogenetics?Journal of the American Heart Association · 2025Review
18 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
rationaleGenome-wide association studies have identified over 100 genetic loci for atrial fibrillation (AF); recent work described an association between loss-of-function (LOF) variants in
objectiveWe sought to determine the contribution of rare and common genetic variation to AF risk in the general population.
methodsThe UK Biobank is a population-based study of 500 000 individuals including a subset with genome-wide genotyping and exome sequencing. In this case-control study, we included AF cases and controls of genetically determined white-European ancestry; analyses were performed using a logistic mixed-effects model adjusting for age, sex, the first 4 principal components of ancestry, empirical relationships, and case-control imbalance. An exome-wide, gene-based burden analysis was performed to examine the relationship between AF and rare, high-confidence LOF variants in genes with ≥10 LOF carriers. A polygenic risk score for AF was estimated using the LDpred algorithm. We then compared the contribution of AF polygenic risk score and LOF variants to AF risk.
resultsThe study included 1546 AF cases and 41 593 controls. In an analysis of 9099 genes with sufficient LOF variant carriers, a significant association between AF and rare LOF variants was observed in a single gene,
conclusionsBoth monogenic and polygenic factors contribute to AF risk in the general population. While rare
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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.