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Updated: Mar 15, 2026

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
Targeted next-generation sequencing helps to decipher the genetic and phenotypic heterogeneity of hypertrophic
Massimiliano Cecconi1, Maria I Parodi1, Francesco Formisano2
1Laboratory of Human Genetics, E.O. Ospedali Galliera, Genova, Italy.
Insights
Next-generation sequencing (NGS) improves hypertrophic cardiomyopathy (HCM) diagnosis by identifying mutations in both thick/intermediate and thin myofilament (TTm) and non-TTm proteins. This approach enhances diagnostic yield and explains genetic heterogeneity in HCM patients.
Area of Science:
- Genetics
- Cardiology
- Molecular Biology
Background:
- Hypertrophic cardiomyopathy (HCM) is a primary genetic heart muscle disease.
- Mutations in MYH7 and MYBPC3 genes are common causes of HCM.
- Clinical and genetic heterogeneity in HCM necessitates advanced diagnostic approaches.
Purpose of the Study:
- To implement a targeted next-generation sequencing (NGS) assay for comprehensive genetic analysis of HCM.
- To evaluate the performance of NGS compared to Sanger sequencing for HCM mutation detection.
- To investigate the role of non-TTm proteins in HCM etiology and phenotypic variability.
Main Methods:
- Development of a custom NGS panel targeting 19 genes, including TTm and non-TTm proteins.
- Analysis of 92 DNA samples using Ion Personal Genome Machine (PGM).
- Optimization of NGS strategy using a training set (73 samples) and evaluation using a discovery set (19 samples).
Main Results:
- NGS identified 72/73 expected and 15 additional mutations in the training set.
- NGS identified 20 mutations in the discovery set, with 5 in non-TTm genes, increasing diagnostic yield by ~20%.
- Co-occurring mutations in TTm and non-TTm (e.g., GLA) genes were identified, correlating with HCM and multiorgan dysfunction.
Conclusions:
- Targeted NGS combined with Sanger sequencing offers greater efficiency for molecular diagnosis of HCM.
- Mutations in non-TTm proteins contribute to HCM genetic and phenotypic heterogeneity.
- Co-occurring TTm and non-TTm mutations can explain wide phenotypic variability in HCM.
Abstract:
Hypertrophic cardiomyopathy (HCM) is mainly associated with myosin, heavy chain 7 (MYH7) and myosin binding protein C, cardiac (MYBPC3) mutations. In order to better explain the clinical and genetic heterogeneity in HCM patients, in this study, we implemented a target-next generation sequencing (NGS) assay. An Ion AmpliSeq™ Custom Panel for the enrichment of 19 genes, of which 9 of these did not encode thick/intermediate and thin myofilament (TTm) proteins and, among them, 3 responsible of HCM phenocopy, was created. Ninety-two DNA samples were analyzed by the Ion Personal Genome Machine: 73 DNA samples (training set), previously genotyped in some of the genes by Sanger sequencing, were used to optimize the NGS strategy, whereas 19 DNA samples (discovery set) allowed the evaluation of NGS performance. In the training set, we identified 72 out of 73 expected mutations and 15 additional mutations: the molecular diagnosis was achieved in one patient with a previously wild-type status and the pre-excitation syndrome was explained in another. In the discovery set, we identified 20 mutations, 5 of which were in genes encoding non-TTm proteins, increasing the diagnostic yield by approximately 20%: a single mutation in genes encoding non-TTm proteins was identified in 2 out of 3 borderline HCM patients, whereas co-occuring mutations in genes encoding TTm and galactosidase alpha (GLA) altered proteins were characterized in a male with HCM and multiorgan dysfunction. Our combined targeted NGS-Sanger sequencing-based strategy allowed the molecular diagnosis of HCM with greater efficiency than using the conventional (Sanger) sequencing alone. Mutant alleles encoding non-TTm proteins may aid in the complete understanding of the genetic and phenotypic heterogeneity of HCM: co-occuring mutations of genes encoding TTm and non-TTm proteins could explain the wide variability of the HCM phenotype, whereas mutations in genes encoding only the non-TTm proteins are identifiable in patients with a milder HCM status.
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Although all next-generation methods use different technologies, they all share a set of standard features....