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Updated: Jan 6, 2026

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
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.
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.
Introduction:
Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy, affecting 1 in 500 people. With growing access to genetic testing and incorporation of genetics in diagnosis and management of HCM, it is important to identify phenotypic predictors of HCM genotype, to improve genetic targeting and counselling as well as cascade testing for first-degree relatives.
Methods:
This was a retrospective analysis of consecutive probands, aged over 18 years referred to a tertiary centre for HCM gene panel testing. Demographic information was obtained from clinic data. Left ventricular hypertrophy (LVH) pattern was classified based on trans-thoracic echocardiogram (TTE). Pathogenicity of variants was classified per the American College of Medical Genetics (ACMG) criteria.
Results:
166 patients were included for analysis. Mean age was 53 years (SD 14.28). 128 (77%) were male. 59 had a history of hypertension and 19 had a family history of sudden cardiac death (SCD). The most frequent HCM pattern at baseline was concentric HCM (31.9% n = 53). 48 patients had a likely pathogenic (LP) or pathogenic (P) variant, giving a genetic testing yield of 28.9%. The most common sarcomeric genes were MYBPC3 and MYH7 accounting for 57% of cases. Younger age, female sex, and reverse curve LVH pattern were predictors of a LP or P gene variant identification. Reverse curve morphology was found to be a significant predictor for a sarcomere variant (p < 0.001).
Conclusion:
Genetic testing was appropriately offered in this cohort. Younger age, female sex, family history of SCD, normal/well controlled blood pressure and reverse pattern LVH on TTE predicted a higher yield of pathogenic variant identification. Reverse curve morphology was found to be a significant predictor for a sarcomere variant. This study has implications for supporting better phenotype-based genetic counselling and resource usage for HCM patients.
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