Frontiers in Cardiovascular Medicine (Jun 2023)

Application of next generation sequencing in cardiology: current and future precision medicine implications

  • Eirini Papadopoulou,
  • Dimitra Bouzarelou,
  • George Tsaousis,
  • Athanasios Papathanasiou,
  • Georgia Vogiatzi,
  • Charalambos Vlachopoulos,
  • Antigoni Miliou,
  • Panagiota Papachristou,
  • Efstathia Prappa,
  • Georgios Servos,
  • Konstantinos Ritsatos,
  • Aristeidis Seretis,
  • Alexandra Frogoudaki,
  • George Nasioulas

DOI
https://doi.org/10.3389/fcvm.2023.1202381
Journal volume & issue
Vol. 10

Abstract

Read online

Inherited cardiovascular diseases are highly heterogeneous conditions with multiple genetic loci involved. The application of advanced molecular tools, such as Next Generation Sequencing, has facilitated the genetic analysis of these disorders. Accurate analysis and variant identification are required to maximize the quality of the sequencing data. Therefore, the application of NGS for clinical purposes should be limited to laboratories with a high level of technological expertise and resources. In addition, appropriate gene selection and variant interpretation can result in the highest possible diagnostic yield. Implementation of genetics in cardiology is imperative for the accurate diagnosis, prognosis and management of several inherited disorders and could eventually lead to the realization of precision medicine in this field. However, genetic testing should also be accompanied by an appropriate genetic counseling procedure that clarifies the significance of the genetic analysis results for the proband and his family. In this regard, a multidisciplinary collaboration among physicians, geneticists, and bioinformaticians is imperative. In the present review, we address the current state of knowledge regarding genetic analysis strategies employed in the field of cardiogenetics. Variant interpretation and reporting guidelines are explored. Additionally, gene selection procedures are accessed, with a particular emphasis on information concerning gene-disease associations collected from international alliances such as the Gene Curation Coalition (GenCC). In this context, a novel approach to gene categorization is proposed. Moreover, a sub-analysis is conducted on the 1,502,769 variation records with submitted interpretations in the Clinical Variation (ClinVar) database, focusing on cardiology-related genes. Finally, the most recent information on genetic analysis's clinical utility is reviewed.

Keywords