Whole Sequencing of Most Prevalent Dilated Cardiomyopathy-Causing Genes as a Molecular Strategy to Improve Molecular

Louis Januel1, Valérie Chanavat1,2, Pierre-Antoine Rollat-Farnier3

  • 1Laboratoire de Cardiogénétique Moléculaire, Centre de Biologie et Pathologie Est, Hospices Civils de Lyon, Lyon, France.

DNA and Cell Biology
|January 25, 2021
PubMed

Insights

Deep intronic variants in BAG3, DSP, FLNC, and LMNA genes are not a common cause of dilated cardiomyopathy (DCM). This study found that whole gene sequencing of these genes does not significantly improve DCM molecular diagnosis rates.

Area of Science:

  • Genetics
  • Cardiology
  • Molecular Biology

Background:

  • Dilated cardiomyopathy (DCM) is a primary cause of heart failure, frequently linked to genetic factors.
  • Truncating variants in TTN, BAG3, DSP, FLNC, and LMNA are established DCM causes.
  • The role of deep intronic variants in these genes remains less understood.

Purpose of the Study:

  • To investigate the prevalence of deep intronic pathogenic variants in BAG3, DSP, FLNC, and LMNA in DCM patients.
  • To assess if whole intronic sequencing of these genes enhances molecular diagnosis in DCM.

Main Methods:

  • Next-generation sequencing (NGS) was used for whole gene sequencing of BAG3, DSP, FLNC, and LMNA.
  • The study included 95 DCM patients negative for causative point mutations after a 48-gene panel NGS.
  • Intronic regions were analyzed for splice-defect-causing variants.

Main Results:

  • The implemented NGS workflow did not alter the molecular diagnosis for any patient in the cohort.
  • Deep intronic variants in the studied genes did not account for a significant proportion of unexplained DCM cases.
  • Whole intronic sequencing of BAG3, DSP, FLNC, and LMNA did not improve diagnostic yield for DCM.

Conclusions:

  • Deep intronic variants in BAG3, DSP, FLNC, and LMNA are unlikely to be a major genetic cause of DCM.
  • Current diagnostic strategies for DCM do not need to routinely include whole intronic sequencing of these specific genes.
  • Focusing on exonic regions and known pathogenic variants remains the most efficient approach for DCM molecular diagnosis.