Medicine (Austin & Northern Health) - Research Publications

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    Quantitative analysis of phenotypic elements augments traditional electroclinical classification of common familial epilepsies
    Abou-Khalil, B ; Afawi, Z ; Allen, AS ; Bautista, JF ; Bellows, ST ; Berkovic, SF ; Bluvstein, J ; Burgess, R ; Cascino, G ; Cossette, P ; Cristofaro, S ; Crompton, DE ; Delanty, N ; Devinsky, O ; Dlugos, D ; Ellis, CA ; Epstein, MP ; Fountain, NB ; Freyer, C ; Geller, EB ; Glauser, T ; Glynn, S ; Goldberg-Stern, H ; Goldstein, DB ; Gravel, M ; Haas, K ; Haut, S ; Heinzen, EL ; Kirsch, HE ; Kivity, S ; Knowlton, R ; Korczyn, AD ; Kossoff, E ; Kuzniecky, R ; Loeb, R ; Lowenstein, DH ; Marson, AG ; McCormack, M ; McKenna, K ; Mefford, HC ; Motika, P ; Mullen, SA ; O'Brien, TJ ; Ottman, R ; Paolicchi, J ; Parent, JM ; Paterson, S ; Petrou, S ; Petrovski, S ; Pickrell, WO ; Poduri, A ; Rees, MI ; Sadleir, LG ; Scheffer, IE ; Shih, J ; Singh, R ; Sirven, J ; Smith, M ; Smith, PEM ; Thio, LL ; Thomas, RH ; Venkat, A ; Vining, E ; Von Allmen, G ; Weisenberg, J ; Widdess-Walsh, P ; Winawer, MR (WILEY, 2019-11)
    OBJECTIVE: Classification of epilepsy into types and subtypes is important for both clinical care and research into underlying disease mechanisms. A quantitative, data-driven approach may augment traditional electroclinical classification and shed new light on existing classification frameworks. METHODS: We used latent class analysis, a statistical method that assigns subjects into groups called latent classes based on phenotypic elements, to classify individuals with common familial epilepsies from the Epi4K Multiplex Families study. Phenotypic elements included seizure types, seizure symptoms, and other elements of the medical history. We compared class assignments to traditional electroclinical classifications and assessed familial aggregation of latent classes. RESULTS: A total of 1120 subjects with epilepsy were assigned to five latent classes. Classes 1 and 2 contained subjects with generalized epilepsy, largely reflecting the distinction between absence epilepsies and younger onset (class 1) versus myoclonic epilepsies and older onset (class 2). Classes 3 and 4 contained subjects with focal epilepsies, and in contrast to classes 1 and 2, these did not adhere as closely to clinically defined focal epilepsy subtypes. Class 5 contained nearly all subjects with febrile seizures plus or unknown epilepsy type, as well as a few subjects with generalized epilepsy and a few with focal epilepsy. Family concordance of latent classes was similar to or greater than concordance of clinically defined epilepsy types. SIGNIFICANCE: Quantitative classification of epilepsy has the potential to augment traditional electroclinical classification by (1) combining some syndromes into a single class, (2) splitting some syndromes into different classes, (3) helping to classify subjects who could not be classified clinically, and (4) defining the boundaries of clinically defined classifications. This approach can guide future research, including molecular genetic studies, by identifying homogeneous sets of individuals that may share underlying disease mechanisms.
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    Epileptic spasms are a feature of DEPDC5 mTORopathy
    Carvill, GL ; Crompton, DE ; Regan, BM ; McMahon, JM ; Saykally, J ; Zemel, M ; Schneider, AL ; Dibbens, L ; Howell, KB ; Mandelstam, S ; Leventer, RJ ; Harvey, AS ; Mullen, SA ; Berkovic, SF ; Sullivan, J ; Scheffer, IE ; Mefford, HC (LIPPINCOTT WILLIAMS & WILKINS, 2015-08)
    OBJECTIVE: To assess the presence of DEPDC5 mutations in a cohort of patients with epileptic spasms. METHODS: We performed DEPDC5 resequencing in 130 patients with spasms, segregation analysis of variants of interest, and detailed clinical assessment of patients with possibly and likely pathogenic variants. RESULTS: We identified 3 patients with variants in DEPDC5 in the cohort of 130 patients with spasms. We also describe 3 additional patients with DEPDC5 alterations and epileptic spasms: 2 from a previously described family and a third ascertained by clinical testing. Overall, we describe 6 patients from 5 families with spasms and DEPDC5 variants; 2 arose de novo and 3 were familial. Two individuals had focal cortical dysplasia. Clinical outcome was highly variable. CONCLUSIONS: While recent molecular findings in epileptic spasms emphasize the contribution of de novo mutations, we highlight the relevance of inherited mutations in the setting of a family history of focal epilepsies. We also illustrate the utility of clinical diagnostic testing and detailed phenotypic evaluation in characterizing the constellation of phenotypes associated with DEPDC5 alterations. We expand this phenotypic spectrum to include epileptic spasms, aligning DEPDC5 epilepsies more with the recognized features of other mTORopathies.
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    Early onset absence epilepsy: 1 in 10 cases is caused by GLUT1 deficiency
    Arsov, T ; Mullen, SA ; Damiano, JA ; Lawrence, KM ; Huh, LL ; Nolan, M ; Young, H ; Thouin, A ; Dahl, H-HM ; Berkovic, SF ; Crompton, DE ; Sadleir, LG ; Scheffer, IE (WILEY-BLACKWELL, 2012-12)
    Glucose transporter 1 (GLUT1) deficiency caused by mutations of SLC2A1 is an increasingly recognized cause of genetic generalized epilepsy. We previously reported that >10% (4 of 34) of a cohort with early onset absence epilepsy (EOAE) had GLUT1 deficiency. This study uses a new cohort of 55 patients with EOAE to confirm that finding. Patients with typical absence seizures beginning before 4 years of age were screened for solute carrier family 2 (facilitated glucose transporter), member 1 (SLC2A1) mutations or deletions. All had generalized spike-waves on electroencephalography (EEG). Those with tonic and/or atonic seizures were excluded. Mutations were found in 7 (13%) of 55 cases, including five missense mutations, an in-frame deletion leading to loss of a single amino acid, and a deletion spanning two exons. Over both studies, 11 (12%) of 89 probands with EOAE have GLUT1 deficiency. Given the major treatment and genetic counseling implications, this study confirms that SLC2A1 mutational analysis should be strongly considered in EOAE.