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Updated: Nov 5, 2025

Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation
Published on: February 26, 2013
Genetics of atrial fibrillation-practical applications for clinical management: if not now, when and how?
Shinwan Kany1,2, Bruno Reissmann1, Andreas Metzner1
1Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.
Insights
Predicting atrial fibrillation (AF) treatment response is crucial. Integrating genetic data with clinical factors may improve rhythm control therapies like antiarrhythmic drugs and catheter ablation for AF patients.
Area of Science:
- Cardiology
- Genetics
- Pharmacogenomics
Background:
- Atrial fibrillation (AF) prevalence and economic burden are rapidly increasing.
- Current rhythm control therapies (antiarrhythmic drugs, catheter ablation) have variable efficacy.
- Predicting individual patient response to AF rhythm control remains a significant challenge.
Purpose of the Study:
- To address the knowledge gap in predicting patient response to AF rhythm control therapies.
- To explore the role of genetic factors in modulating treatment outcomes for AF.
- To advocate for the development of integrated clinical and genetic risk scores for personalized AF management.
Main Methods:
- Review of genetic architecture studies in AF, including rare mutations and common variants.
- Analysis of genome-wide association studies (GWAS) and polygenic risk scores (PRS) for AF.
- Examination of retrospective data suggesting genetic modulation of response to antiarrhythmic drugs and catheter ablation.
Main Results:
- Significant progress in identifying genetic variants associated with AF susceptibility and familial forms.
- Identification of over 100 genetic loci linked to AF through GWAS.
- Evidence suggesting common genetic variations influence response to antiarrhythmic drugs and catheter ablation.
Conclusions:
- Understanding AF pathophysiology and genetic underpinnings is key to improving rhythm control.
- A comprehensive clinical and genetic risk score could personalize AF treatment strategies.
- Translating genetic insights into clinical practice promises substantial patient and healthcare system benefits.
Abstract:
The prevalence and economic burden of atrial fibrillation (AF) are predicted to more than double over the next few decades. In addition to anticoagulation and treatment of concomitant cardiovascular conditions, early and standardized rhythm control therapy reduces cardiovascular outcomes as compared with a rate control approach, favouring the restoration, and maintenance of sinus rhythm safely. Current therapies for rhythm control of AF include antiarrhythmic drugs (AADs) and catheter ablation (CA). However, response in an individual patient is highly variable with some remaining free of AF for long periods on antiarrhythmic therapy, while others require repeat AF ablation within weeks. The limited success of rhythm control therapy for AF is in part related to incomplete understanding of the pathophysiological mechanisms and our inability to predict responses in individual patients. Thus, a major knowledge gap is predicting which patients with AF are likely to respond to rhythm control approach. Over the last decade, tremendous progress has been made in defining the genetic architecture of AF with the identification of rare mutations in cardiac ion channels, signalling molecules, and myocardial structural proteins associated with familial (early-onset) AF. Conversely, genome-wide association studies have identified common variants at over 100 genetic loci and the development of polygenic risk scores has identified high-risk individuals. Although retrospective studies suggest that response to AADs and CA is modulated in part by common genetic variation, the development of a comprehensive clinical and genetic risk score may enable the translation of genetic data to the bedside care of AF patients. Given the economic impact of the AF epidemic, even small changes in therapeutic efficacy may lead to substantial improvements for patients and health care systems.
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