Trial reportPLoS medicine2018
Validation of a genetic risk score for atrial fibrillation: A prospective multicenter cohort study.
Trial report in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01970969 (This Study Will Investigate the Association Between a Set of Single Nucleotide Polymorphisms), which is not on this map. Cited by 21 papers, 1 of them a synthesis 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.
This Study Will Investigate the Association Between a Set of Single Nucleotide Polymorphisms (SNPs) and Atrial Fibrillation in Patients at High Risk of Developing Atrial Fibrillation. The SNPs Investigated Will Have Been Previously Shown to be Associated With the Atrial Fibrillation.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Genotype-phenotype associations in atrial fibrillation: meta-analysis.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2019Pooled it
- Trial
- Polygenic risk scores: Navigating the future of precision medicine through economic, ethical, and scientific advancements.iScience · 2026Review
- Combining Machine Learning, Single-Cell Sequencing Data, and Mendelian Randomization Studies to Explore the Correlation Between Ischemic Stroke and Inflammatory Pathway Genes.International journal of genomics · 2026Article
- Prediction of incident atrial fibrillation using deep learning, clinical models, and polygenic scores.European heart journal · 2024Article
- Identification of Disulfidptosis-Related Genes in Ischemic Stroke by Combining Single-Cell Sequencing, Machine Learning Algorithms, and In Vitro Experiments.Neuromolecular medicine · 2024Article
- Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Review
- Genome and atrial fibrillation.Journal of arrhythmia · 2023Review
- Gene Polymorphism and Recurrent Atrial Fibrillation after Catheter Ablation: A Comprehensive Review.Reviews in cardiovascular medicine · 2023Review
- Polygenic risk scores: An overview from bench to bedside for personalised medicine.Frontiers in genetics · 2022Review
- Atrial Fibrillation Genomics: Discovery and Translation.Current cardiology reports · 2021Review
- Risk prediction of atrial fibrillation in the community combining biomarkers and genetics.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2021Article
- The regulation of the small-conductance calcium-activated potassium current and the mechanisms of sex dimorphism in J wave syndrome.Pflugers Archiv : European journal of physiology · 2021Review
- Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction.Sensors (Basel, Switzerland) · 2021Review
- Transcriptomic Profiling Reveals the Antiapoptosis and Antioxidant Stress Effects ofFrontiers in neurology · 2021Article
- Emerging Technologies for Identifying Atrial Fibrillation.Circulation research · 2020Review
- Genetic risk scores to predict the prognosis of chronic heart failure patients in Chinese Han.Journal of cellular and molecular medicine · 2020Article
- A Genetic Risk Score for Atrial Fibrillation Predicts the Response to Catheter Ablation.Korean circulation journal · 2019Article
- Cardiovascular disease and multimorbidity: A call for interdisciplinary research and personalized cardiovascular care.PLoS medicine · 2018Article
- Clinical Overview of Obesity and Diabetes Mellitus as Risk Factors for Atrial Fibrillation and Sudden Cardiac Death.Frontiers in physiology · 2018Review
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 at 2 institutions in 1 country.
Funding
Abstract
backgroundAtrial fibrillation (AF) is the most commonly encountered arrhythmia and is associated with an elevated risk of stroke. Improving the identification of patients with the highest risk for AF to enable appropriate surveillance and treatment, if necessary, is critical to reducing AF-associated morbidity and mortality. Multiple common single nucleotide polymorphisms (SNPs) are unequivocally associated with the lifetime risk of AF. In the current study we aimed to prospectively validate an AF genetic risk score (GRS) in previously undiagnosed patients at risk for AF. METHODS AND
findingsIndividuals 40 years of age or older with 1 clinical risk factor for AF, presenting with symptoms of AF, or with a first diagnosis of AF, were enrolled for genetic testing and ambulatory cardiac rhythm monitoring with an adhesive patch monitor or a long-term Holter monitor (mean wear time 10 days 21 hours and 13 days 18 hours, respectively). An AF event was the first diagnosis of AF by ECG, patch monitor, or long-term Holter monitor. The AF GRS was determined for each participant based on the weighted contribution of 12 genetic risk loci. Of 904 participants, 85 manifested AF. Their mean age was 66.2 (SD 11.8) years; 38% of participants were male. Participants in the highest quintile of AF GRS were more likely (odds ratio 3.11; 95% CI 1.27-7.58; p = 0.01) to have had an AF event than participants in the lowest quintile after adjusting for age, sex, smoking status, BMI, hypertension, diabetes mellitus, heart failure, and prior myocardial infarction. Study limitations included an ethnically homogenous population, a restricted rhythm monitoring period, and the evolving discovery of SNPs associated with AF.
conclusionsProspective assessment of a GRS for AF identified participants with elevated risk of AF beyond established clinical criteria. Accordingly, a GRS for AF could be incorporated into overall risk assessment to better identify patients at the highest risk of developing AF, although further testing in larger populations is needed to confirm these findings.
trial registrationClinicalTrials.gov NCT01970969.
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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.