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Updated: Jan 26, 2026

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
Cardiac Phenotypes, Genetics, and Risks in Familial Noncompaction Cardiomyopathy
Jaap I van Waning1, Kadir Caliskan2, Michelle Michels2
1Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, the Netherlands.
Background:
There is overlap in genetic causes and cardiac features in noncompaction cardiomyopathy (NCCM), hypertrophic cardiomyopathy (HCM), and dilated cardiomyopathy (DCM).
Objectives:
The goal of this study was to predict phenotype and outcome in relatives according to the clinical features and genotype of NCCM index cases.
Methods:
Retrospective DNA and cardiac screening of relatives of 113 families from 143 index patients were used to classify NCCM cases according to the cardiac phenotype. These cases were classified as isolated NCCM, NCCM with left ventricular (LV) dilation (DCM), and NCCM with LV hypertrophy (HCM).
Results:
In 58 (51%) families, screening identified 73 relatives with NCCM and 34 with DCM or HCM without NCCM. The yield of family screening was higher in families with a mutation (p < 0.001). Fifty-four families had a mutation. Nonpenetrance was observed in 37% of the relatives with a mutation. Index cases were more often symptomatic than affected relatives (p < 0.001). NCCM with DCM (53%) was associated with LV systolic dysfunction (p < 0.001), increased risk for major adverse cardiac events, mutations in the tail of MYH7 (p < 0.001), and DCM without NCCM in relatives (p < 0.001). Isolated NCCM (43%) was associated with a milder course, mutations in the head of MYH7, asymptomatic NCCM (42%) (p = 0.018), and isolated NCCM in relatives (p = 0.004). NCCM with HCM (4%) was associated with MYBPC3 and HCM without NCCM in relatives (p < 0.001).
Conclusions:
The phenotype of relatives may be predicted according to the NCCM phenotype and the mutation of index patients. NCCM phenotypes were related to outcome. In this way, clinical and genetic features of index patients may help prediction of outcome in relatives.
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