International Journal of Molecular Sciences (Aug 2021)

NGS in Hereditary Ataxia: When Rare Becomes Frequent

  • Daniele Galatolo,
  • Giovanna De Michele,
  • Gabriella Silvestri,
  • Vincenzo Leuzzi,
  • Carlo Casali,
  • Olimpia Musumeci,
  • Antonella Antenora,
  • Guja Astrea,
  • Melissa Barghigiani,
  • Roberta Battini,
  • Carla Battisti,
  • Caterina Caputi,
  • Ettore Cioffi,
  • Giuseppe De Michele,
  • Maria Teresa Dotti,
  • Tommasina Fico,
  • Chiara Fiorillo,
  • Serena Galosi,
  • Maria Lieto,
  • Alessandro Malandrini,
  • Marina A. B. Melone,
  • Andrea Mignarri,
  • Gemma Natale,
  • Elena Pegoraro,
  • Antonio Petrucci,
  • Ivana Ricca,
  • Vittorio Riso,
  • Salvatore Rossi,
  • Anna Rubegni,
  • Arianna Scarlatti,
  • Francesca Tinelli,
  • Rosanna Trovato,
  • Gioacchino Tedeschi,
  • Alessandra Tessa,
  • Alessandro Filla,
  • Filippo Maria Santorelli

DOI
https://doi.org/10.3390/ijms22168490
Journal volume & issue
Vol. 22, no. 16
p. 8490

Abstract

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The term hereditary ataxia (HA) refers to a heterogeneous group of neurological disorders with multiple genetic etiologies and a wide spectrum of ataxia-dominated phenotypes. Massive gene analysis in next-generation sequencing has entered the HA scenario, broadening our genetic and clinical knowledge of these conditions. In this study, we employed a targeted resequencing panel (TRP) in a large and highly heterogeneous cohort of 377 patients with a clinical diagnosis of HA, but no molecular diagnosis on routine genetic tests. We obtained a positive result (genetic diagnosis) in 33.2% of the patients, a rate significantly higher than those reported in similar studies employing TRP (average 19.4%), and in line with those performed using exome sequencing (ES, average 34.6%). Moreover, 15.6% of the patients had an uncertain molecular diagnosis. STUB1, PRKCG, and SPG7 were the most common causative genes. A comparison with published literature data showed that our panel would have identified 97% of the positive cases reported in previous TRP-based studies and 92% of those diagnosed by ES. Proper use of multigene panels, when combined with detailed phenotypic data, seems to be even more efficient than ES in clinical practice.

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