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Updated: May 6, 2026

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Implementing a New Algorithm for Reinterpretation of Ambiguous Variants in Genetic Dilated Cardiomyopathy

Alexandra Pérez-Serra1,2, Rocío Toro3,4, Estefanía Martinez-Barrios5,6,7

  • 1Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona (IDIBGI-CERCA), Parc Hospitalari Martí i Julià, Edifici M2, 17190 Salt, Spain.

International Journal of Molecular Sciences
|April 13, 2024
PubMed

Insights

Updating genetic variant classifications for dilated cardiomyopathy (a heart muscle disease) clarifies many ambiguous cases. This genetic analysis improves risk identification for inherited heart conditions.

Area of Science:

  • Genetics
  • Cardiology
  • Molecular Biology

Background:

  • Dilated cardiomyopathy is a heterogeneous heart condition leading to heart failure.
  • Approximately 50% of dilated cardiomyopathy cases have an inherited basis.
  • Genetic analysis is vital for identifying causes and at-risk carriers, but many variants remain ambiguously classified.

Purpose of the Study:

  • To comprehensively re-evaluate previously ambiguous genetic variants in dilated cardiomyopathy.
  • To apply a novel algorithm integrating existing tools for variant classification.
  • To improve the clinical translation of genetic findings in dilated cardiomyopathy.

Main Methods:

  • Reanalysis of 125 ambiguous genetic variants from a cohort of 65 dilated cardiomyopathy patients.
  • Updating population frequencies for variant classification.
  • Utilizing a specific algorithm for classifying remaining ambiguous variants.

Main Results:

  • Reclassification of 12% of variants from unknown to likely benign or pathogenic due to updated population data.
  • The developed algorithm identified a potential deleterious role in 60.9% and a potential benign role in 24.5% of remaining ambiguous variants.
  • Periodic updates of population frequencies offer a cost-effective method for variant clarification.

Conclusions:

  • Comprehensive reanalysis and periodic updates of population frequencies can clarify the roles of ambiguous genetic variants.
  • The developed algorithms aid in the genetic interpretation of dilated cardiomyopathy.
  • Improved variant classification facilitates earlier diagnosis and risk assessment for inherited heart conditions.

Keywords:
dilated cardiomyopathygeneticsinterpretationsudden cardiac death

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