Related Experiment Video
Updated: Jul 13, 2025
08:10
Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
1.7K
Risk stratification of atrial fibrillation and stroke using single nucleotide polymorphism and circulating biomarkers
Tetsuo Sasano1, Kensuke Ihara2, Toshihiro Tanaka3,4
1Department of Cardiovascular Medicine, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.
Plos One
|October 12, 2023
Summary
Genetic risk scores can help assess atrial fibrillation (AF) risk. Plasma cell-free DNA (cfDNA) levels may predict stroke risk in patients with AF.
Area of Science:
- Cardiology
- Genetics
- Biomarkers
Background:
- Atrial fibrillation (AF) is a common arrhythmia linked to stroke.
- Paroxysmal AF (PAF) progression to persistent AF can be difficult to detect before stroke.
- Identifying individuals at risk for PAF and stroke is crucial.
Purpose of the Study:
- To evaluate the risk of PAF using genetic analysis.
- To assess stroke risk through circulating biomarkers.
- To investigate the association between genetic variations, biomarkers, and AF/stroke.
Main Methods:
- Analyzed 10 single nucleotide polymorphisms (SNPs) and quantified 4 microRNAs (miRNAs) in 600 subjects (300 PAF, 300 controls).
- Measured circulating cell-free DNA (cfDNA) levels in plasma.
- Utilized quantitative RT-PCR for miRNA quantification and genotyping for SNPs.
Main Results:
- Identified 4 SNPs significantly associated with AF; a genetic risk score showed an AUC of 0.631.
- No significant differences in circulating miRNAs or cfDNA between PAF and control groups.
- Elevated plasma cfDNA levels were significantly associated with a history of stroke (AUC 0.950).
Conclusions:
- A genetic risk score can assess the risk of AF.
- Plasma cfDNA levels may serve as a potential biomarker for evaluating stroke risk.
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