A Systematic Review of Phenotypic Features Associated With Cardiac Troponin I Mutations in Hereditary

Jens Mogensen1, Thomas Hey1, Sascha Lambrecht1

  • 1Department of Cardiology, Odense University Hospital, Odense, Denmark.

Insights

Genetic testing for sarcomere mutations aids in diagnosing hypertrophic (HCM), restrictive (RCM), and dilated cardiomyopathy (DCM). This review found no clear genotype-phenotype links in HCM or DCM, but cardiac troponin I (cTnI) mutations were common in RCM.

Area of Science:

  • Cardiovascular Genetics
  • Molecular Cardiology
  • Genetic Basis of Cardiomyopathy

Background:

  • Genetic mutations in sarcomere proteins are linked to hypertrophic (HCM), restrictive (RCM), and dilated cardiomyopathy (DCM).
  • Genetic testing is standard for identifying causative mutations and enabling presymptomatic testing in at-risk relatives.
  • Establishing genotype-phenotype correlations is crucial for accurate risk assessment and prognosis prediction.

Purpose of the Study:

  • To review the literature on phenotypic features associated with mutations in cardiac troponin I (cTnI; TNNI3).
  • To investigate potential genotype-phenotype relationships in cardiomyopathies linked to cTnI mutations.

Main Methods:

  • Systematic literature review of studies reporting phenotypic features associated with TNNI3 mutations.
  • Analysis of reported clinical manifestations in patients with known cTnI mutations across different cardiomyopathy types.

Main Results:

  • No specific genotype-phenotype correlations were identified for HCM or DCM related to cTnI mutations.
  • Mutations in cTnI (TNNI3) were found to be the most frequent genetic cause of RCM in the reviewed literature.

Conclusions:

  • Further long-term follow-up studies are necessary to establish definitive genotype-phenotype relationships.
  • Investigating the natural history of cardiomyopathies and clinical outcomes in mutation carriers is essential.
  • Evidence-based genetic counseling and improved risk prediction models require comprehensive data on genotype-phenotype correlations.
Abstract

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