Use of high-throughput targeted exome-sequencing to screen for copy number variation in hypertrophic cardiomyopathy

L R Lopes1, C Murphy2, P Syrris3

  • 1Inherited Cardiovascular Disease Unit, Institute of Cardiovascular Science, UCL, London, UK; Cardiovascular Centre, University of Lisbon, Lisbon, Portugal.

Insights

Copy-number variants (CNVs) are rarely a cause of hypertrophic cardiomyopathy (HCM), with only 0.8% of patients in this study having validated CNVs. This study highlights CNVs as a potential, though infrequent, genetic cause of HCM.

Area of Science:

  • Genetics
  • Cardiology
  • Genomic Medicine

Background:

  • The genetic underpinnings of hypertrophic cardiomyopathy (HCM) are complex, with copy-number variants (CNVs) being an understudied area.
  • Understanding the role of CNVs in HCM is crucial for comprehensive genetic diagnosis.

Purpose of the Study:

  • To investigate the prevalence and impact of CNVs in a large cohort of HCM patients.
  • To screen for CNVs in known cardiomyopathy-associated genes using high-throughput sequencing (HTS) data.

Main Methods:

  • A cohort of 505 unrelated HCM patients underwent HTS for 41 cardiovascular genes.
  • A read-depth strategy (ExomeDepth) was employed to identify CNVs from short-read sequencing data.
  • Validated CNVs in 19 cardiomyopathy-associated genes using comparative genomic hybridization array.

Main Results:

  • Twelve potential CNVs were initially identified.
  • Four CNVs were validated in 4 patients (0.8% of the cohort): deletions in MYBPC3 and PDLIM3, and duplications in TNNT2 and LMNA.
  • These validated CNVs represent rare genetic causes of HCM.

Conclusions:

  • Pathogenic CNVs account for a small proportion (<1%) of HCM cases.
  • CNVs have direct clinical implications for a subset of HCM patients.
  • HTS data combined with a validation step is an effective strategy for identifying novel genetic causes of HCM.
Abstract