Human Genomics (Sep 2024)

Whole-exome sequencing to identify causative variants in juvenile sudden cardiac death

  • Martina Modena,
  • Alberto Giannoni,
  • Alberto Aimo,
  • Paolo Aretini,
  • Nicoletta Botto,
  • Simona Vittorini,
  • Andrea Scatena,
  • Diana Bonuccelli,
  • Marco Di Paolo,
  • Michele Emdin

DOI
https://doi.org/10.1186/s40246-024-00657-x
Journal volume & issue
Vol. 18, no. 1
pp. 1 – 18

Abstract

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Abstract Background Juvenile sudden cardiac death (SCD) remains unexplained in approximately 40% of cases, leading to a significant emotional burden for the victims’ families and society. Comprehensive investigations are essential to uncover its elusive causes and enable cascade family screening. This study aimed to enhance the identification of likely causative variants in juvenile SCD cases (age ≤ 50 years), particularly when autopsy findings are inconclusive. Results Autopsy revealed diagnostic structural abnormalities in 46%, non-diagnostic findings in 23%, and structurally normal hearts in 31% of cases. Whole-exome sequencing (WES), refined through a customized virtual gene panel was used to identify variants. These variants were then evaluated using a multidisciplinary approach and a structured variant prioritization scheme. Our extended approach identified likely causative variants in 69% of cases, outperforming the diagnostic yields of both the cardio panel and standard susceptibility gene analysis (50% and 16%, respectively). The extended cardio panel achieved an 80% diagnostic yield in cases with structurally normal hearts, demonstrating its efficacy in challenging scenarios. Notably, half of the positive cases harboured a single variant, while the remainder had two or more variants. Conclusion This study highlights the efficacy of a multidisciplinary approach employing WES and a tailored virtual gene panel to elucidate the aetiology of juvenile SCD. The findings support the expansion of genetic testing using tailored gene panels and prioritization schemes as part of routine autopsy evaluations to improve the identification of causative variants and potentially facilitate early diagnosis in first-degree relatives.

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