Targeted next-generation sequencing detects novel gene-phenotype associations and expands the mutational spectrum in

Cinzia Forleo1, Anna Maria D'Erchia2,3, Sandro Sorrentino1

  • 1Cardiology Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.

Plos One
|July 28, 2017
PubMed

Insights

This study investigated genetic overlaps in cardiomyopathies, finding multiple rare variants per patient and novel gene-phenotype associations. Targeted sequencing aids molecular diagnosis and patient management for hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), and arrhythmogenic right ventricular cardiomyopathy (ARVC).

Area of Science:

  • Genetics and Molecular Biology
  • Cardiology
  • Genomic Medicine

Background:

  • Cardiomyopathies, including hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), and arrhythmogenic right ventricular cardiomyopathy (ARVC), are primary myocardial diseases with significant morbidity and mortality.
  • These conditions exhibit genetic heterogeneity, with rare mutations in numerous overlapping genes contributing to diverse phenotypes.
  • Understanding genetic overlaps and genotype-phenotype correlations is crucial for diagnosis and management.

Purpose of the Study:

  • To investigate the genetic overlap among HCM, DCM, and ARVC phenotypes.
  • To identify novel genotype-phenotype correlations in cardiomyopathies.
  • To evaluate the utility of targeted next-generation sequencing for molecular diagnosis.

Main Methods:

  • A custom gene panel of 115 genes associated with cardiomyopathies and channelopathies was designed.
  • A cohort of 38 unrelated patients (16 DCM, 14 HCM, 8 ARVC) with severe phenotypes or family history was recruited.
  • Targeted next-generation sequencing was employed to detect rare variants.

Main Results:

  • A total of 142 rare variants in 40 genes were identified, with all patients carrying at least one rare variant.
  • Twenty-eight potentially pathogenic variants were found in 26 patients.
  • Novel potential gene-phenotype associations were identified in 23 patients, including variants in OBSCN (ARVC), ANK2, DLG1, TRPM4, AKAP9 (DCM), and PSEN2, AKAP9 (HCM).

Conclusions:

  • Cardiomyopathic patients frequently carry multiple rare gene variants, highlighting genetic complexity.
  • The study revealed new gene-phenotype associations, advancing understanding of cardiomyopathy genetics.
  • Targeted next-generation sequencing is a valuable tool for molecular diagnosis, risk stratification, and improved clinical management of cardiomyopathies.

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