Laura Canafoglia1, Silvana Franceschetti1, Antonio Gambardella1, Pasquale Striano1, Anna Teresa Giallonardo1, Paolo Tinuper1, Carlo Di Bonaventura1, Roberto Michelucci1, Edoardo Ferlazzo1, Tiziana Granata1, Adriana Magaudda1, Laura Licchetta1, Alessandro Filla1, Angela La Neve1, Patrizia Riguzzi1, Teresa Anna Cantisani1, Martina Fanella1, Barbara Castellotti1, Cinzia Gellera1, Melanie Bahlo1, Federico Zara1, Carolina Courage1, Anna-Elina Lehesjoki1, Karen L Oliver1, Samuel F Berkovic1. 1. Neurophysiopathology (L.C., S.F.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan; Department of Medical and Surgical Sciences (A.G., E.F.), Magna Graecia University, Catanzaro; IRCCS Istituto "G. Gaslini" (P.S., F.Z.), Genova; Department of Neurosciences (P.S., F.Z.), Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genova; Department of Human Neurosciences (T.G., C.D.B., M.F.), Sapienza University of Rome, Viale dell'Università, Rome; IRCCS Istituto delle Scienze Neurologiche di Bologna (P.T., L.L.), Epilepsy Center, Bologna; Department of Biomedical and Neuromotor Sciences (P.T., L.L.), University of Bologna; IRCCS Istituto delle Scienze Neurologiche di Bologna (R.M., P.R.), Unit of Neurology, Bellaria Hospital, Bologna; Regional Epilepsy Centre (E.F.), BMM Great Metropolitan Hospital, Via Melacrino, Reggio Calabria; Department of Pediatric Neuroscience (T.G.), Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan; Epilepsy Center (A.M.), Department of Clinical and Experimental Medicine, AOU Policlinico "G. Martino", Messina; Department of Neuroscience (A.F.), Reproductive, and Odontostomatological Sciences, University of Naples Federico II, Naples; Department of Basic Medical Sciences (A.L.N.), Neuroscience and Sense Organs, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, Bari ; Perugia Hospital (T.A.C,), Neurophysiopathology Unit, Azienda Ospedaliera di Perugia, S. Andrea delle Fratte, Perugia; Unit of Genetics of Neurodegenerative and Metabolic Diseases (B.C., C.G.), IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Population Health and Immunity Division (M.B., K.L.O.), The Walter and Eliza Hall Institute of Medical Research, Parkville; Department of Medical Biology (M.B., K.L.O.), The University of Melbourne; Folkhälsan Research Center (C.C., A.E.L.); Department of Medical and Clinical Genetics, Medicum, University of Helsinki, Finland; and Epilepsy Research Centre (K.L.O., S.F.B), Department of Medicine, University of Melbourne, Austin Health, Heidelberg, Victoria, Australia.
Abstract
BACKGROUND AND OBJECTIVES: 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. METHODS: 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." RESULTS: 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. DISCUSSION: 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.
BACKGROUND AND OBJECTIVES: 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. METHODS: 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." RESULTS: 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. DISCUSSION: 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.
Progressive myoclonus epilepsies (PMEs) are caused by heterogeneous genetic disorders and present with cortical myoclonus, generalized tonic-clonic seizures, and variable ataxia or cognitive impairment. In a multicenter Italian collaborative study, we reported the etiologies in a cohort of 204 PME patients from 165 unrelated families studied by classical pathologic, biochemical, and targeted genetic testing.[1] The cohort included “classical” PMEs, such as Unverricht-Lundborg (progressive myoclonic epilepsy type 1 [EPM1], 33%) and Lafora body (EPM2, 20%) diseases, and other PMEs resulting from more rare genetic diseases (19%). In 47 unrelated patients (28%), the etiology remained unidentified (Figure 1).
Figure 1
Classification of 165 Families With PME From 2014 to 2021
Classification of 165 Families With PME From 2014 to 2021
NGS = next-generation sequencing; PME = progressive myoclonus epilepsy; ULD = Unverricht-Lundborg disease.Since 2014, novel genetic causes and pathogenetic mechanisms for PME have been identified. These include pathogenic variants in CERS1,[2] involved in ceramide metabolism, KCNC1,[3] with a dominant-negative effect on the voltage-gated KV3 channel,[4] and the NUS1, DHDDS, and ALG10 genes, involved in dolichol-dependent protein glycosylation.[5]We reanalyze the unsolved cases in the 2014 series[1] to assess the impact of newer diagnostic procedures, especially next-generation sequencing (NGS). Most of the newly solved cases have been reported elsewhere[2-6]; we herein provide an overall perspective of the current diagnostic yield in PME.
Methods
We studied 38 unsolved unrelated PME patients who did not reach a positive causal diagnosis in our previously reported PME series; DNA was no longer available from the remaining 9 patients (Figure 2). We obtained informed consent from all patients (or their guardians), in line with local institutional review board requirements for genetic analyses. Seven unrelated patients were initially investigated using a NGS panel containing 240 genes known to cause epilepsies or PME. Subsequently, 29 unrelated patients including 3 unsolved by the panel had singleton whole-exome sequencing (WES).[3] A trio-design WES approach was performed in 7 patients, including 2 unsolved by NGS panel and 5 unsolved by singleton WES. In 4 families with 2 or 3 affected siblings, WES was performed on all patients.[5] In 1 family with 4 affected siblings, homozygosity mapping was followed by targeted NGS.[2]
Figure 2
Diagram Flow of the Genetic Investigations Performed Between 2014 and 2020
Diagram Flow of the Genetic Investigations Performed Between 2014 and 2020
NGS = next-generation sequencing; PME = progressive myoclonus epilepsy; WES = whole-exome sequencing.All patients presented with cortical myoclonus and a progressive course, consistent with PME. The clinical presentation of each patient was reviewed by Istituto Neurologico Besta clinicians (L.C. and S.F.) and researchers at the University of Melbourne (K.L.O. and S.F.B.). Taking into account the clinical classification applied by Courage et al.,[5] patients were categorized as (1) “Unverricht-Lundborg disease-like (ULD-like) PME” in case of late childhood/adolescent onset of cortical myoclonus and minimal cognitive impairment similar to EPM1, (2) “late-onset PME” in case of clinical presentation similar to EPM1, but onset after 20 years of age, (3) “PME plus developmental delay” when progressive cortical myoclonus appeared after other symptoms suggesting a developmental encephalopathy (early psychomotor delay, ataxia or seizures), and (4) “PME plus dementia” when patients showed a severe and progressive cognitive impairment as part of the phenotype.
Data Availability
Anonymized data can be made available to qualified investigators upon request to the corresponding author.
Results
We found genetic causes in 16 of the 38 unrelated patients (42%). As shown in Figure 2, 2 patients were solved by NGS panel, 7 by WES singleton, 4 by WES trio, 2 by WES sibling, and 1 by homozygosity mapping.[2-6]
Table 1 reports the newly identified genetic variants.
Table 1
Pathogenic Variants Detected in 16/38 Unsolved PME Families Since 2014
Pathogenic Variants Detected in 16/38 Unsolved PME Families Since 2014Among “ULD-like” (16 cases), 3 had pathogenic variants in KCNC1 and 3 in CHD2, DHDDS, or AFG3L2. The genetic defect remained undetermined in the remaining 10. Among “late-PME” (6 patients), the WES of siblings revealed different NEU1 pathogenic variants in 2 families, mutation of DHDDS in 1 patient, and mutation of CLN6 in 1 other. In 2, the genetic cause remained unidentified.In “PME plus developmental delay,” we included 11 patients. Homozygosity mapping revealed a pathogenic missense variant in CERS1 (EPM8; #616230) in 4 siblings, belonging to an Algerian family.[2] Four sporadic cases had pathogenic variants in NAXE, DHDDS, SACS, and CACNA2D2. In the remaining 6 patients, the genetic cause remained unidentified.Among the 5 patients with “PME plus dementia,” 1 had a pathogenic variant in STUB1.In the 2014 article,[1] a cluster analysis based on clinical features associated with PME allowed grouping the 38 unsolved patients evenly into Cluster 1 (n = 20) and Cluster 2 (n = 18). Cluster 1 accounted for all patients now classified as “PME plus developmental delay” with a smaller subset of “ULD-like” and “PME plus dementia” patients. Cluster 2 was predominantly made up of “ULD-like” patients, all “late-onset PME” patients, and 1 patient classified as “PME plus dementia” (eFigure 1, links.lww.com/NXG/A490). Diagnostic success was achieved in 9/20 Cluster 1 cases and 7/18 for Cluster 2.Overall, concerning the 165 PME unrelated patients reported in 2014, the genetically identified causes increased from 72% to 82%. Figure 1 compares the diagnostic yield and breakdown for the entire Italian series from 2014 to 2021 and (eTable 1, links.lww.com/NXG/A490) lists all genes with pathogenic variants.
Discussion
This reanalysis with next-generation sequencing resulted in a positive diagnosis in 42% of PME unrelated patients who were unsolved at the time of our previous study.[1] One clinically relevant observation relates to the atypical presentation of known PME disorders, which can hinder the diagnosis, as occurred with the diagnosis of sialidosis (#256550) in 2 families. Patients presented as “late-onset PME” and escaped diagnosis because of nonindicative biochemical findings and an unapparent cherry-red spot.[6]Since 2014, NGS facilitated the discovery of many pathogenic variants in genes not previously identified as a causative for PME.[5] Some, such as KCNC1, can be considered “specific” PME genes, giving rise in a typical age-range to a classical picture of worsening cortical myoclonus. Other findings, however, suggest that in some patients, in whom the syndromic picture is still that of a PME, the disorder results as a “variant” phenotype of genetic disorders typically presenting with other symptoms. In fact, until the studies published by Muona et al.,[3] and Courage et al.,[5]
AFG3L2 (#614487), SACS (#270550), and STUB1 (#615768) were known to be associated with autosomal recessive ataxia and CACNA2D2 (#618501) with ataxia or epileptic encephalopathy. The spectrum of NAXE is phenotypically broad, giving rise to lethal neurometabolic disorder with acute-onset ataxia or epilepsy and movement disorders, occasionally including myoclonus.[7]
CHD2 is a well-established epileptic encephalopathy gene and was only recently associated with PME.[5]The “new” genetic diagnoses were similarly distributed between “Cluster 1 and 2” that we identified in our original 2014 report,[1] and the same occurred for the 4 phenotypic categories applied in this study. Moreover, mutations of the same gene, for instance DHDDS, may result either in “PME plus developmental delay,” “ULD-like PME,” or “late-onset PME” phenotypes. Conversely, we did not observe different phenotype categories within families.Previous retrospective series from referral centers have reported high diagnostic yields in PME,[8-10] but these studies likely suffer from referral and recall biases. Although the Italian series is not strictly epidemiologic, it was multicenter and had a prospective component, so it approximates the real-world representation of PME in a Caucasian population without major founder effects.A methodological limit of this study resides on heterogeneous diagnostic procedures preceding WES. Our observation may indicate that, following an early screening of the most classical causes of PME (e.g., EPM1, resulting from CSTB dodecamer repeat expansion), and in the absence of typical signs revealing well-known disorders causing PME (e.g., cherry-red spot in sialidoses), WES represents the most suitable diagnostic procedure for achieving the causal diagnosis in the unsolved patients. When possible, affected family members and unaffected parents should be sequenced to maximize diagnostic yield and the chances for novel discovery.The extensive re-evaluation by means of WES in our unclassified cases suggests that in PME it is possible to achieve a high genetic diagnostic yield (>80%), thus making PMEs 1 of the most genetically well-defined groups of all epilepsies.
Authors: Carolina Courage; Karen L Oliver; Eon Joo Park; Jillian M Cameron; Kariona A Grabińska; Mikko Muona; Laura Canafoglia; Antonio Gambardella; Edith Said; Zaid Afawi; Betul Baykan; Christian Brandt; Carlo di Bonaventura; Hui Bein Chew; Chiara Criscuolo; Leanne M Dibbens; Barbara Castellotti; Patrizia Riguzzi; Angelo Labate; Alessandro Filla; Anna T Giallonardo; Geza Berecki; Christopher B Jackson; Tarja Joensuu; John A Damiano; Sara Kivity; Amos Korczyn; Aarno Palotie; Pasquale Striano; Davide Uccellini; Loretta Giuliano; Eva Andermann; Ingrid E Scheffer; Roberto Michelucci; Melanie Bahlo; Silvana Franceschetti; William C Sessa; Samuel F Berkovic; Anna-Elina Lehesjoki Journal: Am J Hum Genet Date: 2021-04-01 Impact factor: 11.025
Authors: Mikko Muona; Samuel F Berkovic; Leanne M Dibbens; Karen L Oliver; Snezana Maljevic; Marta A Bayly; Tarja Joensuu; Laura Canafoglia; Silvana Franceschetti; Roberto Michelucci; Salla Markkinen; Sarah E Heron; Michael S Hildebrand; Eva Andermann; Frederick Andermann; Antonio Gambardella; Paolo Tinuper; Laura Licchetta; Ingrid E Scheffer; Chiara Criscuolo; Alessandro Filla; Edoardo Ferlazzo; Jamil Ahmad; Adeel Ahmad; Betul Baykan; Edith Said; Meral Topcu; Patrizia Riguzzi; Mary D King; Cigdem Ozkara; Danielle M Andrade; Bernt A Engelsen; Arielle Crespel; Matthias Lindenau; Ebba Lohmann; Veronica Saletti; João Massano; Michael Privitera; Alberto J Espay; Birgit Kauffmann; Michael Duchowny; Rikke S Møller; Rachel Straussberg; Zaid Afawi; Bruria Ben-Zeev; Kaitlin E Samocha; Mark J Daly; Steven Petrou; Holger Lerche; Aarno Palotie; Anna-Elina Lehesjoki Journal: Nat Genet Date: 2014-11-17 Impact factor: 38.330
Authors: Silvana Franceschetti; Roberto Michelucci; Laura Canafoglia; Pasquale Striano; Antonio Gambardella; Adriana Magaudda; Paolo Tinuper; Angela La Neve; Edoardo Ferlazzo; Giuseppe Gobbi; Anna Teresa Giallonardo; Giuseppe Capovilla; Elisa Visani; Ferruccio Panzica; Giuliano Avanzini; Carlo Alberto Tassinari; Amedeo Bianchi; Federico Zara Journal: Neurology Date: 2014-01-02 Impact factor: 9.910
Authors: Nicola Vanni; Floriana Fruscione; Edoardo Ferlazzo; Pasquale Striano; Angela Robbiano; Monica Traverso; Thomas Sander; Antonio Falace; Elisabetta Gazzerro; Placido Bramanti; Jacek Bielawski; Anna Fassio; Carlo Minetti; Pierre Genton; Federico Zara Journal: Ann Neurol Date: 2014-05-20 Impact factor: 10.422
Authors: S F Berkovic; S Carpenter; A Evans; G Karpati; E A Shoubridge; F Andermann; E Meyer; J L Tyler; M Diksic; D Arnold Journal: Brain Date: 1989-10 Impact factor: 13.501
Authors: Karen L Oliver; Silvana Franceschetti; Carol J Milligan; Mikko Muona; Simone A Mandelstam; Laura Canafoglia; Anna M Boguszewska-Chachulska; Amos D Korczyn; Francesca Bisulli; Carlo Di Bonaventura; Francesca Ragona; Roberto Michelucci; Bruria Ben-Zeev; Rachel Straussberg; Ferruccio Panzica; João Massano; Daniel Friedman; Arielle Crespel; Bernt A Engelsen; Frederick Andermann; Eva Andermann; Krystyna Spodar; Anetta Lasek-Bal; Patrizia Riguzzi; Elena Pasini; Paolo Tinuper; Laura Licchetta; Elena Gardella; Matthias Lindenau; Annette Wulf; Rikke S Møller; Felix Benninger; Zaid Afawi; Guido Rubboli; Christopher A Reid; Snezana Maljevic; Holger Lerche; Anna-Elina Lehesjoki; Steven Petrou; Samuel F Berkovic Journal: Ann Neurol Date: 2017-05 Impact factor: 10.422