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Updated: Jul 26, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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

Genome and atrial fibrillation

Yukiko Nakano1

  • 1Department of Cardiovascular Medicine Hiroshima University Graduate School of Biomedical and Health Sciences Hiroshima Japan.

Journal of Arrhythmia
|June 16, 2023
PubMed

Insights

Genetic predisposition plays a key role in atrial fibrillation (AF), the most common heart arrhythmia. Recent genetic analyses are advancing our understanding of AF

Area of Science:

  • Cardiology
  • Genetics
  • Medical Research

Background:

  • Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia.
  • AF leads to severe health issues including stroke, heart failure, cognitive decline, reduced quality of life, and increased mortality.
  • Both genetic factors and clinical predispositions contribute to AF development.

Purpose of the Study:

  • To review current trends in the genetic analysis of atrial fibrillation.
  • To elucidate the relationship between genes and the pathogenesis and prognosis of AF.

Main Methods:

  • Review of genetic studies on AF.
  • Analysis of linkage studies.
  • Examination of genome-wide association studies (GWAS).
  • Evaluation of polygenic risk scores.
  • Studies on rare coding variations.

Main Results:

  • Genetic studies have significantly advanced the understanding of AF.
  • Various genetic approaches are progressively clarifying the genetic underpinnings of AF.
  • The interplay between genetic variations and AF development is becoming clearer.

Conclusions:

  • Genetic analysis is crucial for understanding AF.
  • Continued research in AF genetics promises to improve diagnosis and treatment.
  • Genetic insights are vital for managing AF pathogenesis and prognosis.

Keywords:
GWASatrial fibrillationgenomepolygenic risk factor

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