Predicted Risk of Ventricular Arrhythmias in a Genome-First Population With Genetic Risk for Arrhythmogenic Right

Eric D Carruth1, Brittney Murray2, Crystal Tichnell2

  • 1Department of Genomic Health (E.D.C.), Geisinger, Danville, PA.

Insights

Population genomic screening identifies individuals with desmosome variants linked to arrhythmogenic right ventricular cardiomyopathy (ARVC). The predicted 5-year risk for ventricular arrhythmia (VA) is low, but varies by gene and clinical criteria.

Area of Science:

  • Cardiovascular Genetics
  • Genomics
  • Clinical Cardiology

Background:

  • Population genomic screening aids in identifying desmosome gene variants associated with arrhythmogenic right ventricular cardiomyopathy (ARVC).
  • Risk stratification for individuals with diagnosed ARVC is possible using a validated risk calculator.
  • The utility of this risk calculator for individuals identified through genomic screening has not been previously explored.

Purpose of the Study:

  • To assess the predicted risk of ventricular arrhythmia (VA) in individuals identified through population genomic screening for desmosome variants.
  • To compare predicted VA risk with actual outcomes within a 5-year follow-up period.
  • To explore how genetic factors and clinical criteria influence predicted VA risk.

Main Methods:

  • Identified individuals with pathogenic/likely pathogenic variants in desmosome genes (PKP2, DSP, DSG2, DSC2) via genomic screening.
  • Applied the ARVC risk calculator to patients with subsequent right ventricular function evaluation.
  • Compared predicted 5-year VA risk with observed outcomes in individuals followed for up to 5 years post-genetic result disclosure.

Main Results:

  • Of 113 individuals with variants and no prior sustained VA, 8% met criteria for definite ARVC diagnosis.
  • The median 5-year predicted VA risk was 3.9% (1.6% for fast VA), significantly lower than the calculator's derivation cohort.
  • Predicted VA risk was higher in those with non-genetic ARVC Task Force Criteria (6.3%) and DSP variants (6.1%) compared to others.
  • No sustained VA events were observed during a median 3.0-year follow-up.

Conclusions:

  • Individuals identified via population genomic screening for desmosome variants have a low predicted 5-year risk of VA.
  • Predicted VA risk is influenced by the specific gene involved and the presence of additional ARVC Task Force Criteria.
  • The findings suggest a potentially lower risk profile in screened populations compared to clinically diagnosed cohorts.
Abstract

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