Austin Health

Title
Progressive Myoclonus Epilepsies: Diagnostic Yield With Next-Generation Sequencing in Previously Unsolved Cases.
Publication Date
2021-11-12
Author(s)
Canafoglia, Laura
Franceschetti, Silvana
Gambardella, Antonio
Striano, Pasquale
Giallonardo, Anna Teresa
Tinuper, Paolo
Di Bonaventura, Carlo
Michelucci, Roberto
Ferlazzo, Edoardo
Granata, Tiziana
Magaudda, Adriana
Licchetta, Laura
Filla, Alessandro
La Neve, Angela
Riguzzi, Patrizia
Cantisani, Teresa Anna
Fanella, Martina
Castellotti, Barbara
Gellera, Cinzia
Bahlo, Melanie
Zara, Federico
Courage, Carolina
Lehesjoki, Anna-Elina
Oliver, Karen L
Berkovic, Samuel F
Subject
Progressive Myoclonus Epilepsies
Type of document
Journal Article
OrcId
0000-0002-5385-761X
0000-0002-1921-6755
0000-0001-7384-3074
0000-0002-6065-1476
0000-0001-5132-0774
0000-0003-4014-3113
0000-0001-5188-6153
0000-0003-4580-841X
DOI
10.1212/NXG.0000000000000641
Abstract
To assess the current diagnostic yield of genetic testing for the progressive myoclonus epilepsies (PMEs) of an Italian series described in 2014 where Unverricht-Lundborg and Lafora diseases accounted for ∼50% of the cohort. Of 47/165 unrelated patients with PME of indeterminate genetic origin, 38 underwent new molecular evaluations. Various next-generation sequencing (NGS) techniques were applied including gene panel analysis (n = 7) and/or whole-exome sequencing (WES) (WES singleton n = 29, WES trio n = 7, and WES sibling n = 4). In 1 family, homozygosity mapping was followed by targeted NGS. Clinically, the patients were grouped in 4 phenotypic categories: "Unverricht-Lundborg disease-like PME," "late-onset PME," "PME plus developmental delay," and "PME plus dementia." Sixteen of 38 (42%) unrelated patients reached a positive diagnosis, increasing the overall proportion of solved families in the total series from 72% to 82%. Likely pathogenic variants were identified in NEU1 (2 families), CERS1 (1 family), and in 13 nonfamilial patients in KCNC1 (3), DHDDS (3), SACS, CACNA2D2, STUB1, AFG3L2, CLN6, NAXE, and CHD2. Across the different phenotypic categories, the diagnostic rate was similar, and the same gene could be found in different phenotypic categories. The application of NGS technology to unsolved patients with PME has revealed a collection of very rare genetic causes. Pathogenic variants were detected in both established PME genes and in genes not previously associated with PME, but with progressive ataxia or with developmental encephalopathies. With a diagnostic yield >80%, PME is one of the best genetically defined epilepsy syndromes.
Link
Citation
Neurology. Genetics 2021; 7(6): e641
Jornal Title
Neurology. Genetics
ISSN
2376-7839

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