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Published on: June 9, 2018
Genetic testing in monogenic early-onset atrial fibrillation
Brandon Chalazan1, Emma Freeth2, Arezoo Mohajeri1
1Department of Medical Genetics, University of British Columbia, Vancouver, Canada.
Genetic testing identified a 3.0% diagnostic yield for likely pathogenic variants in atrial fibrillation (AF) genes among early-onset AF patients without acquired risk factors. This highlights potential for personalized screening and treatment strategies based on genetic findings.
Area of Science:
- Cardiovascular Genetics
- Genomic Medicine
- Electrophysiology
Background:
- A significant portion of atrial fibrillation (AF) cases lack identifiable acquired risk factors.
- Current guidelines for genetic testing in AF are limited.
- Understanding the genetic basis of early-onset AF is crucial for personalized medicine.
Purpose of the Study:
- To determine the prevalence of pathogenic variants in established AF genes within a well-characterized early-onset AF cohort.
- To assess the diagnostic yield of whole exome sequencing for monogenic causes of AF.
- To explore the clinical utility of genetic findings in AF management.
Main Methods:
- Whole exome sequencing was performed on 200 patients with early-onset AF (≤60 years) and no acquired risk factors.
- Variants were filtered and classified using ACMG/AMP guidelines.
- Patients were recruited from St. Paul's Hospital and London Health Sciences Centre.
Main Results:
- The study included 200 AF patients, with a mean age of onset at 43.6 years; 83.5% were male and 29.0% had a family history.
- A diagnostic yield of 3.0% was observed for likely pathogenic or pathogenic variants in AF-associated genes.
- 94 individuals presented with very early-onset AF (≤45 years).
Conclusions:
- Whole exome sequencing revealed a 3.0% diagnostic yield for monogenic causes of AF in this cohort.
- Findings suggest potential clinical utility for genetic screening and tailored treatment in AF patients with identified monogenic defects.
- Further research is needed to identify additional genetic determinants, including polygenic factors, for AF patients without a clear genetic explanation.
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