Clinical predictors of genetic testing outcomes in hypertrophic cardiomyopathy

Jodie Ingles1, Tanya Sarina, Laura Yeates

  • 11] Agnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney, Australia [2] School of Medicine, University of Sydney, Sydney, Australia.

Insights

Family history significantly increases the likelihood of identifying genetic mutations in hypertrophic cardiomyopathy (HCM). This finding is crucial for genetic counseling and improving mutation detection rates in HCM patients.

Area of Science:

  • Cardiovascular Genetics
  • Genetic Diagnostics
  • Hypertrophic Cardiomyopathy Research

Background:

  • Genetic testing for hypertrophic cardiomyopathy (HCM) is available but faces challenges with low mutation detection rates and high costs.
  • Identifying individuals with a higher probability of carrying a pathogenic mutation is essential for efficient genetic testing strategies.

Purpose of the Study:

  • To identify clinical variables that predict the successful identification of pathogenic mutations in probands with hypertrophic cardiomyopathy (HCM).
  • To enhance the diagnostic yield of genetic testing for HCM.

Main Methods:

  • A 10-year retrospective study (2002-2011) of 265 unrelated probands meeting clinical diagnostic criteria for HCM across Australian cardiac genetic clinics.
  • Collection of clinical, family history, and genotype data.

Main Results:

  • A mutation detection rate of 52% was observed.
  • Mutation detection was significantly higher in patients with a family history of HCM (72% vs. 29%) and sudden cardiac death (89% vs. 59%).
  • Female gender, increased left-ventricular wall thickness, and family history of HCM or sudden cardiac death were associated with a higher chance of identifying a mutation.

Conclusions:

  • Family history is a critical clinical predictor for positive genetic diagnoses in hypertrophic cardiomyopathy.
  • These findings have direct clinical relevance for pretest genetic counseling and optimizing genetic testing strategies in HCM.
Abstract

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