Contribution of exome sequencing for genetic diagnostic in arrhythmogenic right ventricular cardiomyopathy/dysplasia

Joel Fedida1,2, Veronique Fressart3, Philippe Charron4,5

  • 1INSERM, UMR_S1166, ICAN, Hôpital Pitié-Salpêtrière, Paris, France.

Plos One
|August 3, 2017
PubMed

Insights

Whole exome sequencing identified large PKP2 deletions in 5.7% of arrhythmogenic right ventricular cardiomyopathy patients with negative genetic testing. This next-generation sequencing method accurately detects deletions missed by standard genetic screening.

Area of Science:

  • Genetics
  • Cardiology
  • Molecular Biology

Background:

  • Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia (ARVC/D) is an inherited heart condition often caused by desmosomal gene mutations.
  • Genetic mutations remain unidentified in approximately 50% of ARVC/D patients after standard genetic testing.
  • Whole exome sequencing (WES) offers a potential solution for diagnosing ARVC/D in genetically unresolved cases.

Purpose of the Study:

  • To evaluate the diagnostic accuracy of WES in identifying genetic causes of ARVC/D.
  • To detect mutations, particularly large deletions, in patients with negative desmosomal gene screening results.

Main Methods:

  • WES was performed on 22 ARVC/D patients with negative desmosomal gene testing.
  • Coverage-depth analysis of WES data was used to identify large insertions/deletions in key genes.
  • Suspected deletions were confirmed using qPCR, MLPA, and cGH-Array.
  • MLPA was also conducted on an additional 50 gene-negative ARVC/D probands.

Main Results:

  • WES identified large heterozygous PKP2 deletions in two patients, confirmed by qPCR and MLPA.
  • MLPA detected two additional PKP2 deletions in 50 other probands, indicating a 5.7% frequency in gene-negative ARVC/D.
  • Putative pathogenic variants in EYA4, RBM20, PSEN1, and COX15 were found in four unrelated probands.

Conclusions:

  • Large PKP2 deletions, missed by Sanger sequencing, are a significant cause of ARVC/D (5.7% frequency).
  • Coverage-depth analysis via WES is an effective method for detecting large deletions and other mutations in cardiomyopathy-associated genes.
Abstract

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