Genetics of atrial fibrillation—practical applications for clinical management: if not now, when and how?

Author:

Kany Shinwan12ORCID,Reissmann Bruno1,Metzner Andreas1,Kirchhof Paulus123ORCID,Darbar Dawood4,Schnabel Renate B12ORCID

Affiliation:

1. Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany

2. German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Martinistraße 52, 20251 Hamburg, Hamburg, Germany

3. The Institute of Cardiovascular Sciences, University of Birmingham, Edgbaston Birmingham B15 2TT, UK

4. Division of Cardiology, Departments of Medicine, University of Illinois at Chicago and Jesse Brown Veterans Administration, 840 South Wood Street, Suite 928 M/C 715, Chicago, IL 60612, USA

Abstract

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.

Funder

National Institutes of Health

European Research Council

European Union’s Horizon 2020 research and innovation program

German Center for Cardiovascular Research

German Ministry of Research and Education

ERACoSysMed3

European Union BigData@Heart

British Heart Foundation

German Ministry of Education and Research

Leducq Foundation

University of Birmingham

Markers for Atrial Fibrillation

European Union

Medical Research Council

German Centre for Cardiovascular Research

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,Physiology

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