Molecular Genetics & Genomic Medicine (May 2023)

Whole‐exome sequencing: Clinical characterization of pediatric and adult Italian patients affected by different forms of hereditary cardiovascular diseases

  • Stefania Lenarduzzi,
  • Beatrice Spedicati,
  • Beatrice Alessandrini,
  • Paola Tesolin,
  • Alessia Paldino,
  • Marta Gigli,
  • Gianfranco Sinagra,
  • Paolo Gasparini,
  • Matteo Dal Ferro,
  • Giorgia Girotto

DOI
https://doi.org/10.1002/mgg3.2143
Journal volume & issue
Vol. 11, no. 5
pp. n/a – n/a

Abstract

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Abstract Background Hereditary cardiovascular diseases comprise several different entities. In this study, we focused on cardiomyopathies (i.e., hypertrophic, dilated, arrhythmogenic, and left ventricular non‐compaction), channelopathies (i.e., Brugada syndrome and long QT syndrome), and aortopathies and pulmonary arterial hypertension (i.e., thoracic/abdominal aortic aneurysm and pulmonary arterial hypertension), and genetically characterized 200 Italian patients affected by these diseases. Methods We employed whole‐exome sequencing (WES), focused on four in silico gene panels, and the MLPA method for hypertrophic and arrhythmogenic right ventricular cardiomyopathy cases. Results Cardiomyopathies affected 87.5% of analyzed patients, channelopathies 7%, and aortopathies and pulmonary arterial hypertension 5.5%. The molecular diagnosis was confirmed for 21.5% of cases with a higher detection rate in familial forms (34%) than sporadic ones (14%). We highlighted the importance of family segregation to better understand the pathogenic role of the identified variants and their involvement in the clinical phenotype. Negative results could be ascribed to the high genetic and clinical heterogeneity of hereditary cardiovascular diseases; clinical follow‐up and revaluation of WES data will be essential. Conclusion This study highlights the importance of a multi‐step approach (WES and MLPA) to characterize hereditary cardiovascular diseases, provides crucial information for clinical management and recurrence risk estimation, and lays the foundation for future personalized therapies.

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