Sarcomeric gene variants among Indians with hypertrophic cardiomyopathy: A scoping review

Linda Koshy1, Sanjay Ganapathi2, Panniyammakal Jeemon3

  • 1Centre for Advance Research & Excellence in Heart Failure, Chitra Tirunal Institute for Medical Sciences & Technology, Thiruvananthapuram, Kerala, India.

Insights

This review identified sarcomere gene variants linked to sudden cardiac death in Indian hypertrophic cardiomyopathy (HCM) patients. The findings contribute to a new database for diagnosing and predicting HCM risk.

Area of Science:

  • Genetics
  • Cardiology
  • Molecular Biology

Background:

  • Hypertrophic cardiomyopathy (HCM) is a genetic heart condition.
  • It is a leading cause of sudden cardiac death (SCD) in young adults.
  • Sarcomere gene mutations are key diagnostic and prognostic factors for HCM and SCD.

Purpose of the Study:

  • To comprehensively review literature on sarcomere protein variants associated with SCD in Indian HCM patients.
  • To identify and compile known pathogenic variants in this population.
  • To establish a population-specific genetic database for HCM research.

Main Methods:

  • A systematic scoping review of multiple scientific databases (Medline, Scopus, Web of Science, Google Scholar).
  • Inclusion criteria focused on full-text articles reporting genetic screening of sarcomeric genes in South Asian Indian HCM patients.
  • Search strategy combined terms related to genetics, HCM, and population.

Main Results:

  • Nineteen articles reported pathogenic or likely pathogenic (P/LP) variants in MYH7, MYBPC3, TNNT2, TNNI3, and TPM1 genes.
  • These included 16 single heterozygous, one de novo, and one digenic (MYH7/TPM1) mutation associated with SCD.
  • Functional studies and segregation analysis supported the role of these variants in HCM pathology.

Conclusions:

  • This review consolidates P/LP variants associated with SCD in Indian HCM patients.
  • Homozygous, de novo, and digenic mutations correlated with more severe HCM phenotypes.
  • The compiled data forms the HCMvar database, aiding clinicians and researchers in identifying diagnostic and prognostic markers.

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