ArticleInternational journal of molecular medicine2016
Targeted next-generation sequencing helps to decipher the genetic and phenotypic heterogeneity of hypertrophic cardiomyopathy.
Article in International journal of molecular medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 35 citations in OpenAlex.
- Cardiovascular Genetic Epidemiology in the Genome-Wide Era: From Association Discovery to Mechanistic Dissection and Clinical Translation.Cardiovascular drugs and therapy · 2026Review
- Revisiting the Genetics of Hypertrophic Cardiomyopathy: From Sarcomeres to Polygenic Modulation and Clinical Translation.Journal of clinical medicine · 2026Review
- MYBPC3 c.2309-2A>G: exploring a founder variant in Italian hypertrophic cardiomyopathy patients.European journal of human genetics : EJHG · 2025Article
- Sailing Across Contraception, Pregnancy, and Breastfeeding: The Complex Journey of Women with Cardiomyopathies.Journal of clinical medicine · 2025Review
- Article
- Troponin I - a comprehensive review of its function, structure, evolution, and role in muscle diseases.Animal cells and systems · 2025Review
- The N-Terminal Mutations of cMyBP-C Affect Calcium Regulation, Kinetics, and Force of Muscle Contraction.International journal of molecular sciences · 2024Article
- Unveiling the Spectrum of Minor Genes in Cardiomyopathies: A Narrative Review.International journal of molecular sciences · 2024Review
- Unraveling the genetic tapestry of pediatric sarcomeric cardiomyopathies and masquerading phenocopies in Jordan.Scientific reports · 2024Article
- Multinational experience with next-generation sequencing: opportunity to identify transthyretin cardiac amyloidosis and Fabry disease.Cardiovascular diagnosis and therapy · 2024Article
- Sarcomeric gene variants among Indians with hypertrophic cardiomyopathy: A scoping review.The Indian journal of medical research · 2023Article
- Mechanisms of pathogenicity in the hypertrophic cardiomyopathy-associated TPM1 variant S215L.PNAS nexus · 2023Article
- The role of the M-band myomesin proteins in muscle integrity and cardiac disease.Journal of biomedical science · 2022Review
- Compact SchCas9 Recognizes the Simple NNGR PAM.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Identification of key genes for hypertrophic cardiomyopathy using integrated network analysis of differential lncRNA and gene expression.Frontiers in cardiovascular medicine · 2022Article
- Targeted exome analysis of Russian patients with hypertrophic cardiomyopathy.Molecular genetics & genomic medicine · 2021Article
- Finding the candidate sequence variants for diagnosis of hypertrophic cardiomyopathy in East Slovak patients.Journal of clinical laboratory analysis · 2018Article
- Intrinsic MYH7 expression regulation contributes to tissue level allelic imbalance in hypertrophic cardiomyopathy.Journal of muscle research and cell motility · 2017Article
- Targeted next-generation sequencing detects novel gene-phenotype associations and expands the mutational spectrum in cardiomyopathies.PloS one · 2017Article
- Additional value of screening for minor genes and copy number variants in hypertrophic cardiomyopathy.PloS one · 2017Article
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Authors and funding
16 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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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