Predictors for increasing genetic testing yields in hypertrophic cardiomyopathy

Michael Killian1, Deepti Ranganathan2, Dearbhla Moore2

  • 1Mater Misercordiae University Hospital, Dublin, Ireland. 111344501@umail.ucc.ie.

PubMed

Insights

Identifying hypertrophic cardiomyopathy (HCM) genotype is aided by specific patient features. Younger age, female sex, and a reverse curve left ventricular hypertrophy (LVH) pattern predict a higher yield of pathogenic variants in HCM genetic testing.

Area of Science:

  • Cardiology
  • Genetics
  • Inherited Diseases

Background:

  • Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy, affecting approximately 1 in 500 individuals.
  • Genetic testing is increasingly used for HCM diagnosis and management.
  • Identifying phenotypic predictors of HCM genotype is crucial for targeted genetic counseling and cascade testing.

Purpose of the Study:

  • To identify phenotypic predictors of hypertrophic cardiomyopathy (HCM) genotype.
  • To improve genetic targeting, counseling, and cascade testing for first-degree relatives of HCM patients.

Main Methods:

  • Retrospective analysis of 166 adult patients undergoing HCM gene panel testing.
  • Classification of left ventricular hypertrophy (LVH) patterns using trans-thoracic echocardiography (TTE).
  • Classification of variant pathogenicity according to American College of Medical Genetics (ACMG) criteria.

Main Results:

  • The overall genetic testing yield for pathogenic or likely pathogenic variants was 28.9%.
  • Concentric HCM was the most frequent pattern (31.9%).
  • Younger age, female sex, and a reverse curve LVH pattern were significant predictors of identifying pathogenic variants, particularly sarcomere gene variants (p < 0.001).

Conclusions:

  • Phenotypic features like younger age, female sex, family history of sudden cardiac death, normal blood pressure, and reverse curve LVH on TTE predict a higher yield of pathogenic variants in HCM.
  • These findings support phenotype-based genetic counseling and optimized resource allocation for HCM patients.
  • Reverse curve morphology is a significant predictor for sarcomere variants in HCM.
Abstract

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