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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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    De novo mutations in epileptic encephalopathies
    Allen, AS ; Berkovic, SF ; Cossette, P ; Delanty, N ; Dlugos, D ; Eichler, EE ; Epstein, MP ; Glauser, T ; Goldstein, DB ; Han, Y ; Heinzen, EL ; Hitomi, Y ; Howell, KB ; Johnson, MR ; Kuzniecky, R ; Lowenstein, DH ; Lu, Y-F ; Madou, MRZ ; Marson, AG ; Mefford, HC ; Nieh, SE ; O'Brien, TJ ; Ottman, R ; Petrovski, S ; Poduri, A ; Ruzzo, EK ; Scheffer, IE ; Sherr, EH ; Yuskaitis, CJ ; Abou-Khalil, B ; Alldredge, BK ; Bautista, JF ; Berkovic, SF ; Boro, A ; Cascino, GD ; Consalvo, D ; Crumrine, P ; Devinsky, O ; Dlugos, D ; Epstein, MP ; Fiol, M ; Fountain, NB ; French, J ; Friedman, D ; Geller, EB ; Glauser, T ; Glynn, S ; Haut, SR ; Hayward, J ; Helmers, SL ; Joshi, S ; Kanner, A ; Kirsch, HE ; Knowlton, RC ; Kossoff, E ; Kuperman, R ; Kuzniecky, R ; Lowenstein, DH ; McGuire, SM ; Motika, PV ; Novotny, EJ ; Ottman, R ; Paolicchi, JM ; Parent, JM ; Park, K ; Poduri, A ; Scheffer, IE ; Shellhaas, RA ; Sherr, EH ; Shih, JJ ; Singh, R ; Sirven, J ; Smith, MC ; Sullivan, J ; Thio, LL ; Venkat, A ; Vining, EPG ; Von Allmen, GK ; Weisenberg, JL ; Widdess-Walsh, P ; Winawer, MR (NATURE PUBLISHING GROUP, 2013-09-12)
    Epileptic encephalopathies are a devastating group of severe childhood epilepsy disorders for which the cause is often unknown. Here we report a screen for de novo mutations in patients with two classical epileptic encephalopathies: infantile spasms (n = 149) and Lennox-Gastaut syndrome (n = 115). We sequenced the exomes of 264 probands, and their parents, and confirmed 329 de novo mutations. A likelihood analysis showed a significant excess of de novo mutations in the ∼4,000 genes that are the most intolerant to functional genetic variation in the human population (P = 2.9 × 10(-3)). Among these are GABRB3, with de novo mutations in four patients, and ALG13, with the same de novo mutation in two patients; both genes show clear statistical evidence of association with epileptic encephalopathy. Given the relevant site-specific mutation rates, the probabilities of these outcomes occurring by chance are P = 4.1 × 10(-10) and P = 7.8 × 10(-12), respectively. Other genes with de novo mutations in this cohort include CACNA1A, CHD2, FLNA, GABRA1, GRIN1, GRIN2B, HNRNPU, IQSEC2, MTOR and NEDD4L. Finally, we show that the de novo mutations observed are enriched in specific gene sets including genes regulated by the fragile X protein (P < 10(-8)), as has been reported previously for autism spectrum disorders.
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    Epilepsy, hippocampal sclerosis and febrile seizures linked by common genetic variation around SCN1A
    Kasperaviciute, D ; Catarino, CB ; Matarin, M ; Leu, C ; Novy, J ; Tostevin, A ; Leal, B ; Hessel, EVS ; Hallmann, K ; Hildebrand, MS ; Dahl, H-HM ; Ryten, M ; Trabzuni, D ; Ramasamy, A ; Alhusaini, S ; Doherty, CP ; Dorn, T ; Hansen, J ; Kraemer, G ; Steinhoff, BJ ; Zumsteg, D ; Duncan, S ; Kaelviaeinen, RK ; Eriksson, KJ ; Kantanen, A-M ; Pandolfo, M ; Gruber-Sedlmayr, U ; Schlachter, K ; Reinthaler, EM ; Stogmann, E ; Zimprich, F ; Theatre, E ; Smith, C ; O'Brien, TJ ; Tan, KM ; Petrovski, S ; Robbiano, A ; Paravidino, R ; Zara, F ; Striano, P ; Sperling, MR ; Buono, RJ ; Hakonarson, H ; Chaves, J ; Costa, PP ; Silva, BM ; da Silva, AM ; de Graan, PNE ; Koeleman, BPC ; Becker, A ; Schoch, S ; von Lehe, M ; Reif, PS ; Rosenow, F ; Becker, F ; Weber, Y ; Lerche, H ; Roessler, K ; Buchfelder, M ; Hamer, HM ; Kobow, K ; Coras, R ; Blumcke, I ; Scheffer, IE ; Berkovic, SF ; Weale, ME ; Delanty, N ; Depondt, C ; Cavalleri, GL ; Kunz, WS ; Sisodiya, SM (OXFORD UNIV PRESS, 2013-10)
    Epilepsy comprises several syndromes, amongst the most common being mesial temporal lobe epilepsy with hippocampal sclerosis. Seizures in mesial temporal lobe epilepsy with hippocampal sclerosis are typically drug-resistant, and mesial temporal lobe epilepsy with hippocampal sclerosis is frequently associated with important co-morbidities, mandating the search for better understanding and treatment. The cause of mesial temporal lobe epilepsy with hippocampal sclerosis is unknown, but there is an association with childhood febrile seizures. Several rarer epilepsies featuring febrile seizures are caused by mutations in SCN1A, which encodes a brain-expressed sodium channel subunit targeted by many anti-epileptic drugs. We undertook a genome-wide association study in 1018 people with mesial temporal lobe epilepsy with hippocampal sclerosis and 7552 control subjects, with validation in an independent sample set comprising 959 people with mesial temporal lobe epilepsy with hippocampal sclerosis and 3591 control subjects. To dissect out variants related to a history of febrile seizures, we tested cases with mesial temporal lobe epilepsy with hippocampal sclerosis with (overall n = 757) and without (overall n = 803) a history of febrile seizures. Meta-analysis revealed a genome-wide significant association for mesial temporal lobe epilepsy with hippocampal sclerosis with febrile seizures at the sodium channel gene cluster on chromosome 2q24.3 [rs7587026, within an intron of the SCN1A gene, P = 3.36 × 10(-9), odds ratio (A) = 1.42, 95% confidence interval: 1.26-1.59]. In a cohort of 172 individuals with febrile seizures, who did not develop epilepsy during prospective follow-up to age 13 years, and 6456 controls, no association was found for rs7587026 and febrile seizures. These findings suggest SCN1A involvement in a common epilepsy syndrome, give new direction to biological understanding of mesial temporal lobe epilepsy with hippocampal sclerosis with febrile seizures, and open avenues for investigation of prognostic factors and possible prevention of epilepsy in some children with febrile seizures.
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    Copy number variant analysis from exome data in 349 patients with epileptic encephalopathy
    Abou-Khalil, B ; Alldredge, BK ; Allen, AS ; Andermann, E ; Andermann, F ; Amrom, D ; Bautista, JF ; Berkovic, SF ; Boro, A ; Cascino, G ; Coe, BP ; Consalvo, D ; Cook, J ; Cossette, P ; Crumrine, P ; Delanty, N ; Devinsky, O ; Dlugos, D ; Eichler, EE ; Epstein, MP ; Fiol, M ; Fountain, NB ; French, J ; Friedman, D ; Geller, EB ; Glauser, T ; Glynn, S ; Goldstein, DB ; Haut, SR ; Hayward, J ; Heinzen, EL ; Helmers, SL ; Johnson, MR ; Joshi, S ; Kanner, A ; Kirsch, HE ; Knowlton, RC ; Kossoff, EH ; Krumm, N ; Kuperman, R ; Kuzniecky, R ; Lowenstein, DH ; Marson, AG ; McGuire, SM ; Mefford, HC ; Motika, PV ; Nelson, B ; Nieh, SE ; Novotny, EJ ; O'Brien, TJ ; Ottman, R ; Paolicchi, JM ; Parent, J ; Park, K ; Petrou, S ; Petrovski, S ; Poduri, A ; Raja, A ; Ruzzo, EK ; Scheffer, IE ; Shellhaas, RA ; Sherr, E ; Shih, JJ ; Singh, R ; Sirven, J ; Smith, MC ; Sullivan, J ; Liu, LT ; Venkat, A ; Vining, EPG ; Von Allmen, GK ; Weisenberg, JL ; Widdess-Walsh, P ; Winawer, MR (WILEY, 2015-08)
    Infantile spasms (IS) and Lennox-Gastaut syndrome (LGS) are epileptic encephalopathies characterized by early onset, intractable seizures, and poor developmental outcomes. De novo sequence mutations and copy number variants (CNVs) are causative in a subset of cases. We used exome sequence data in 349 trios with IS or LGS to identify putative de novo CNVs. We confirm 18 de novo CNVs in 17 patients (4.8%), 10 of which are likely pathogenic, giving a firm genetic diagnosis for 2.9% of patients. Confirmation of exome-predicted CNVs by array-based methods is still required due to false-positive rates of prediction algorithms. Our exome-based results are consistent with recent array-based studies in similar cohorts and highlight novel candidate genes for IS and LGS.
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    Polygenic burden in focal and generalized epilepsies
    Leu, C ; Stevelink, R ; Smith, AW ; Goleva, SB ; Kanai, M ; Ferguson, L ; Campbell, C ; Kamatani, Y ; Okada, Y ; Sisodiya, SM ; Cavalleri, GL ; Koeleman, BPC ; Lerche, H ; Jehi, L ; Davis, LK ; Najm, IM ; Palotie, A ; Daly, MJ ; Busch, RM ; Lal, D (OXFORD UNIV PRESS, 2019-11)
    Rare genetic variants can cause epilepsy, and genetic testing has been widely adopted for severe, paediatric-onset epilepsies. The phenotypic consequences of common genetic risk burden for epilepsies and their potential future clinical applications have not yet been determined. Using polygenic risk scores (PRS) from a European-ancestry genome-wide association study in generalized and focal epilepsy, we quantified common genetic burden in patients with generalized epilepsy (GE-PRS) or focal epilepsy (FE-PRS) from two independent non-Finnish European cohorts (Epi25 Consortium, n = 5705; Cleveland Clinic Epilepsy Center, n = 620; both compared to 20 435 controls). One Finnish-ancestry population isolate (Finnish-ancestry Epi25, n = 449; compared to 1559 controls), two European-ancestry biobanks (UK Biobank, n = 383 656; Vanderbilt biorepository, n = 49 494), and one Japanese-ancestry biobank (BioBank Japan, n = 168 680) were used for additional replications. Across 8386 patients with epilepsy and 622 212 population controls, we found and replicated significantly higher GE-PRS in patients with generalized epilepsy of European-ancestry compared to patients with focal epilepsy (Epi25: P = 1.64×10-15; Cleveland: P = 2.85×10-4; Finnish-ancestry Epi25: P = 1.80×10-4) or population controls (Epi25: P = 2.35×10-70; Cleveland: P = 1.43×10-7; Finnish-ancestry Epi25: P = 3.11×10-4; UK Biobank and Vanderbilt biorepository meta-analysis: P = 7.99×10-4). FE-PRS were significantly higher in patients with focal epilepsy compared to controls in the non-Finnish, non-biobank cohorts (Epi25: P = 5.74×10-19; Cleveland: P = 1.69×10-6). European ancestry-derived PRS did not predict generalized epilepsy or focal epilepsy in Japanese-ancestry individuals. Finally, we observed a significant 4.6-fold and a 4.5-fold enrichment of patients with generalized epilepsy compared to controls in the top 0.5% highest GE-PRS of the two non-Finnish European cohorts (Epi25: P = 2.60×10-15; Cleveland: P = 1.39×10-2). We conclude that common variant risk associated with epilepsy is significantly enriched in multiple cohorts of patients with epilepsy compared to controls-in particular for generalized epilepsy. As sample sizes and PRS accuracy continue to increase with further common variant discovery, PRS could complement established clinical biomarkers and augment genetic testing for patient classification, comorbidity research, and potentially targeted treatment.
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    Genome-wide mega-analysis identifies 16 loci and highlights diverse biological mechanisms in the common epilepsies
    Abou-Khalil, B ; Auce, P ; Avbersek, A ; Bahlo, M ; Balding, DJ ; Bast, T ; Baum, L ; Becker, AJ ; Becker, F ; Berghuis, B ; Berkovic, SF ; Boysen, KE ; Bradfield, JP ; Brody, LC ; Buono, RJ ; Campbell, E ; Cascino, GD ; Catarino, CB ; Cavalleri, GL ; Cherny, SS ; Chinthapalli, K ; Coffey, AJ ; Compston, A ; Coppola, A ; Cossette, P ; Craig, JJ ; de Haan, G-J ; De Jonghe, P ; de Kovel, CGF ; Delanty, N ; Depondt, C ; Devinsky, O ; Dlugos, DJ ; Doherty, CP ; Elger, CE ; Eriksson, JG ; Ferraro, TN ; Feucht, M ; Francis, B ; Franke, A ; French, JA ; Freytag, S ; Gaus, V ; Geller, EB ; Gieger, C ; Glauser, T ; Glynn, S ; Goldstein, DB ; Gui, H ; Guo, Y ; Haas, KF ; Hakonarson, H ; Hallmann, K ; Haut, S ; Heinzen, EL ; Helbig, I ; Hengsbach, C ; Hjalgrim, H ; Iacomino, M ; Ingason, A ; Jamnadas-Khoda, J ; Johnson, MR ; Kalviainen, R ; Kantanen, A-M ; Kasperaviciute, D ; Trenite, DK-N ; Kirsch, HE ; Knowlton, RC ; Koeleman, BPC ; Krause, R ; Krenn, M ; Kunz, WS ; Kuzniecky, R ; Kwan, P ; Lal, D ; Lau, Y-L ; Lehesjoki, A-E ; Lerche, H ; Leu, C ; Lieb, W ; Lindhout, D ; Lo, WD ; Lopes-Cendes, I ; Lowenstein, DH ; Malovini, A ; Marson, AG ; Mayer, T ; McCormack, M ; Mills, JL ; Mirza, N ; Moerzinger, M ; Moller, RS ; Molloy, AM ; Muhle, H ; Newton, M ; Ng, P-W ; Noethen, MM ; Nuernberg, P ; O'Brien, TJ ; Oliver, KL ; Palotie, A ; Pangilinan, F ; Peter, S ; Petrovski, S ; Poduri, A ; Privitera, M ; Radtke, R ; Rau, S ; Reif, PS ; Reinthaler, EM ; Rosenow, F ; Sander, JW ; Sander, T ; Scattergood, T ; Schachter, SC ; Schankin, CJ ; Scheffer, IE ; Schmitz, B ; Schoch, S ; Sham, PC ; Shih, JJ ; Sills, GJ ; Sisodiya, SM ; Slattery, L ; Smith, A ; Smith, DF ; Smith, MC ; Smith, PE ; Sonsma, ACM ; Speed, D ; Sperling, MR ; Steinhoff, BJ ; Stephani, U ; Stevelink, R ; Strauch, K ; Striano, P ; Stroink, H ; Surges, R ; Tan, KM ; Thio, LL ; Thomas, GN ; Todaro, M ; Tozzi, R ; Vari, MS ; Vining, EPG ; Visscher, F ; von Spiczak, S ; Walley, NM ; Weber, YG ; Wei, Z ; Weisenberg, J ; Whelan, CD ; Widdess-Walsh, P ; Wolff, M ; Wolking, S ; Yang, W ; Zara, F ; Zimprich, F (NATURE PUBLISHING GROUP, 2018-12-10)
    The epilepsies affect around 65 million people worldwide and have a substantial missing heritability component. We report a genome-wide mega-analysis involving 15,212 individuals with epilepsy and 29,677 controls, which reveals 16 genome-wide significant loci, of which 11 are novel. Using various prioritization criteria, we pinpoint the 21 most likely epilepsy genes at these loci, with the majority in genetic generalized epilepsies. These genes have diverse biological functions, including coding for ion-channel subunits, transcription factors and a vitamin-B6 metabolism enzyme. Converging evidence shows that the common variants associated with epilepsy play a role in epigenetic regulation of gene expression in the brain. The results show an enrichment for monogenic epilepsy genes as well as known targets of antiepileptic drugs. Using SNP-based heritability analyses we disentangle both the unique and overlapping genetic basis to seven different epilepsy subtypes. Together, these findings provide leads for epilepsy therapies based on underlying pathophysiology.
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    Familial Mesial Temporal Lobe Epilepsy and the Borderland of Deja Vu
    Perucca, P ; Crompton, DE ; Bellows, ST ; McIntosh, AM ; Kalincik, T ; Newton, MR ; Vajda, FJE ; Scheffer, IE ; Kwan, P ; O'Brien, TJ ; Tan, KM ; Berkovic, SF (WILEY, 2017-08)
    OBJECTIVE: The cause of mesial temporal lobe epilepsy (MTLE) is often unknown. We ascertained to what extent newly diagnosed nonlesional MTLE actually represents familial MTLE (FMTLE). METHODS: We identified all consecutive patients presenting to the Austin Health First Seizure Clinic with MTLE and normal magnetic resonance imaging (MRI) or MRI evidence of hippocampal sclerosis over a 10-year period. Patients' first-degree relatives and pairwise age- and sex-matched controls underwent a comprehensive epilepsy interview. Each interview transcript was reviewed independently by 2 epileptologists, blinded to relative or control status. Reviewers classified each subject as follows: epilepsy, specifying if MTLE; manifestations suspicious for epilepsy; or unaffected. Physiological déjà vu was noted. RESULTS: Forty-four patients were included. At the Clinic, MTLE had been recognized to be familial in 2 patients only. Among 242 subjects interviewed, MTLE was diagnosed in 9 of 121 relatives versus 0 of 121 controls (p = 0.008). All affected relatives had seizures with intense déjà vu and accompanying features; 6 relatives had not been previously diagnosed. Déjà vu experiences that were suspicious, but not diagnostic, of MTLE occurred in 6 additional relatives versus none of the controls (p = 0.04). Physiological déjà vu was common, and did not differ significantly between relatives and controls. After completing the relatives' interviews, FMTLE was diagnosed in 8 of 44 patients (18.2%). INTERPRETATION: FMTLE accounts for almost one-fifth of newly diagnosed nonlesional MTLE, and it is largely unrecognized without direct questioning of relatives. Relatives of patients with MTLE may experience déjà vu phenomena that clinically lie in the "borderland" between epileptic seizures and physiological déjà vu. Ann Neurol 2017;82:166-176.