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4 results on '"Fountain NB"'

1. Association of ultra-rare coding variants with genetic generalized epilepsy: A case–control whole exome sequencing study

Author

Koko, M, Motelow, JE, Stanley, KE, Bobbili, DR, Dhindsa, RS, May, P, Alldredge, BK, Allen, AS, Altmüller, J, Amrom, D, Andermann, E, Auce, P, Avbersek, A, Baulac, S, Bautista, JF, Becker, F, Bellows, Susannah, Berghuis, B, Berkovic, SF, Bluvstein, J, Boro, A, Bridgers, J, Burgess, R, Caglayan, H, Cascino, GD, Cavalleri, GL, Chung, SK, Cieuta-Walti, C, Cloutier, V, Consalvo, D, Cossette, P, Crumrine, P, Delanty, N, Depondt, C, Desbiens, R, Devinsky, O, Dlugos, D, Epstein, MP, Everett, K, Fiol, M, Fountain, NB, Francis, B, French, J, Freyer, C, Friedman, D, Gambardella, A, Geller, EB, Girard, S, Glauser, T, Glynn, S, Goldstein, DB, Gravel, M, Haas, K, Haut, SR, Heinzen, EL, Helbig, I, Hildebrand, MS, Johnson, MR, Jorgensen, A, Joshi, S, Kanner, A, Kirsch, HE, Klein, KM, Knowlton, RC, Koeleman, BPC, Kossoff, EH, Krause, R, Krenn, M, Kunz, WS, Kuzniecky, R, Langley, SR, LeGuern, E, Lehesjoki, AE, Lerche, H, Leu, C, Lortie, A, Lowenstein, DH, Marson, AG, Mebane, C, Mefford, HC, Meloche, C, Moreau, C, Motika, PV, Muhle, H, Møller, RS, Nabbout, R, Nguyen, DK, Nikanorova, M, Novotny, EJ, Nürnberg, P, Ottman, R, O’Brien, TJ, Paolicchi, JM, Parent, JM, Park, K, Peter, S, Petrou, S, Petrovski, S, Pickrell, WO, Poduri, A, Koko, M, Motelow, JE, Stanley, KE, Bobbili, DR, Dhindsa, RS, May, P, Alldredge, BK, Allen, AS, Altmüller, J, Amrom, D, Andermann, E, Auce, P, Avbersek, A, Baulac, S, Bautista, JF, Becker, F, Bellows, Susannah, Berghuis, B, Berkovic, SF, Bluvstein, J, Boro, A, Bridgers, J, Burgess, R, Caglayan, H, Cascino, GD, Cavalleri, GL, Chung, SK, Cieuta-Walti, C, Cloutier, V, Consalvo, D, Cossette, P, Crumrine, P, Delanty, N, Depondt, C, Desbiens, R, Devinsky, O, Dlugos, D, Epstein, MP, Everett, K, Fiol, M, Fountain, NB, Francis, B, French, J, Freyer, C, Friedman, D, Gambardella, A, Geller, EB, Girard, S, Glauser, T, Glynn, S, Goldstein, DB, Gravel, M, Haas, K, Haut, SR, Heinzen, EL, Helbig, I, Hildebrand, MS, Johnson, MR, Jorgensen, A, Joshi, S, Kanner, A, Kirsch, HE, Klein, KM, Knowlton, RC, Koeleman, BPC, Kossoff, EH, Krause, R, Krenn, M, Kunz, WS, Kuzniecky, R, Langley, SR, LeGuern, E, Lehesjoki, AE, Lerche, H, Leu, C, Lortie, A, Lowenstein, DH, Marson, AG, Mebane, C, Mefford, HC, Meloche, C, Moreau, C, Motika, PV, Muhle, H, Møller, RS, Nabbout, R, Nguyen, DK, Nikanorova, M, Novotny, EJ, Nürnberg, P, Ottman, R, O’Brien, TJ, Paolicchi, JM, Parent, JM, Park, K, Peter, S, Petrou, S, Petrovski, S, Pickrell, WO, and Poduri, A

Published
2022

2. Quantitative analysis of phenotypic elements augments traditional electroclinical classification of common familial epilepsies

Author

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, 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, and Winawer, MR

Abstract

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 identifyi

Published
2019

3. Copy number variant analysis from exome data in 349 patients with epileptic encephalopathy

Author

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, 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, and Winawer, MR

Abstract

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.

Published
2015

4. De novo mutations in epileptic encephalopathies

Author

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, Boro, A, Cascino, GD, Consalvo, D, Crumrine, P, Devinsky, O, Fiol, M, Fountain, NB, French, J, Friedman, D, Geller, EB, Glynn, S, Haut, SR, Hayward, J, Helmers, SL, Joshi, S, Kanner, A, Kirsch, HE, Knowlton, RC, Kossoff, E, Kuperman, R, McGuire, SM, Motika, PV, Novotny, EJ, Paolicchi, JM, Parent, JM, Park, K, Shellhaas, RA, 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, 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, Boro, A, Cascino, GD, Consalvo, D, Crumrine, P, Devinsky, O, Fiol, M, Fountain, NB, French, J, Friedman, D, Geller, EB, Glynn, S, Haut, SR, Hayward, J, Helmers, SL, Joshi, S, Kanner, A, Kirsch, HE, Knowlton, RC, Kossoff, E, Kuperman, R, McGuire, SM, Motika, PV, Novotny, EJ, Paolicchi, JM, Parent, JM, Park, K, Shellhaas, RA, Shih, JJ, Singh, R, Sirven, J, Smith, MC, Sullivan, J, Thio, LL, Venkat, A, Vining, EPG, Von Allmen, GK, Weisenberg, JL, Widdess-Walsh, P, and Winawer, MR

Abstract

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.

Published
2013

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