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1. GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture

Author

Stevelink, R, Campbell, C, Chen, S, Abou-Khalil, B, Adesoji, OM, Afawi, Z, Amadori, E, Anderson, A, Anderson, J, Andrade, DM, Annesi, G, Auce, P, Avbersek, A, Bahlo, M, Baker, MD, Balagura, G, Balestrini, S, Barba, C, Barboza, K, Bartolomei, F, Bast, T, Baum, L, Baumgartner, T, Baykan, B, Bebek, N, Becker, AJ, Becker, F, Bennett, CA, Berghuis, B, Berkovic, SF, Beydoun, A, Bianchini, C, Bisulli, F, Blatt, I, Bobbili, DR, Borggraefe, I, Bosselmann, C, Braatz, V, Bradfield, JP, Brockmann, K, Brody, LC, Buono, RJ, Busch, RM, Caglayan, H, Campbell, E, Canafoglia, L, Canavati, C, Cascino, GD, Castellotti, B, Catarino, CB, Cavalleri, GL, Cerrato, F, Chassoux, F, Cherny, SS, Cheung, C-L, Chinthapalli, K, Chou, I-J, Chung, S-K, Churchhouse, C, Clark, PO, Cole, AJ, Compston, A, Coppola, A, Cosico, M, Cossette, P, Craig, JJ, Cusick, C, Daly, MJ, Davis, LK, de Haan, G-J, Delanty, N, Depondt, C, Derambure, P, Devinsky, O, Di Vito, L, Dlugos, DJ, Doccini, V, Doherty, CP, El-Naggar, H, Elger, CE, Ellis, CA, Eriksson, JG, Faucon, A, Feng, Y-CA, Ferguson, L, Ferraro, TN, Ferri, L, Feucht, M, Fitzgerald, M, Fonferko-Shadrach, B, Fortunato, F, Franceschetti, S, Franke, A, French, JA, Freri, E, Gagliardi, M, Gambardella, A, Geller, EB, Giangregorio, T, Gjerstad, L, Glauser, T, Goldberg, E, Goldman, A, Granata, T, Greenberg, DA, Guerrini, R, Gupta, N, Haas, KF, Hakonarson, H, Hallmann, K, Hassanin, E, Hegde, M, Heinzen, EL, Helbig, I, Hengsbach, C, Heyne, HO, Hirose, S, Hirsch, E, Hjalgrim, H, Howrigan, DP, Hucks, D, Hung, P-C, Iacomino, M, Imbach, LL, Inoue, Y, Ishii, A, Jamnadas-Khoda, J, Jehi, L, Johnson, MR, Kalviainen, R, Kamatani, Y, Kanaan, M, Kanai, M, Kantanen, A-M, Kara, B, Kariuki, SM, Kasperaviciute, D, Trenite, DK-N, Kato, M, Kegele, J, Kesim, Y, Khoueiry-Zgheib, N, King, C, Kirsch, HE, Klein, KM, Kluger, G, Knake, S, Knowlton, RC, Koeleman, BPC, Korczyn, AD, Koupparis, A, Kousiappa, I, Krause, R, Krenn, M, Krestel, H, Krey, I, Kunz, WS, Kurki, MI, Kurlemann, G, Kuzniecky, R, Kwan, P, Labate, A, Lacey, A, Lal, D, Landoulsi, Z, Lau, Y-L, Lauxmann, S, Leech, SL, Lehesjoki, A-E, Lemke, JR, Lerche, H, Lesca, G, Leu, C, Lewin, N, Lewis-Smith, D, Li, GH-Y, Li, QS, Licchetta, L, Lin, K-L, Lindhout, D, Linnankivi, T, Lopes-Cendes, I, Lowenstein, DH, Lui, CHT, Madia, F, Magnusson, S, Marson, AG, May, P, McGraw, CM, Mei, D, Mills, JL, Minardi, R, Mirza, N, Moller, RS, Molloy, AM, Montomoli, M, Mostacci, B, Muccioli, L, Muhle, H, Mueller-Schlueter, K, Najm, IM, Nasreddine, W, Neale, BM, Neubauer, B, Newton, CRJC, Noethen, MM, Nothnagel, M, Nuernberg, P, O'Brien, TJ, Okada, Y, Olafsson, E, Oliver, KL, Ozkara, C, Palotie, A, Pangilinan, F, Papacostas, SS, Parrini, E, Pato, CN, Pato, MT, Pendziwiat, M, Petrovski, S, Pickrell, WO, Pinsky, R, Pippucci, T, Poduri, A, Pondrelli, F, Powell, RHW, Privitera, M, Rademacher, A, Radtke, R, Ragona, F, Rau, S, Rees, MI, Regan, BM, Reif, PS, Rhelms, S, Riva, A, Rosenow, F, Ryvlin, P, Saarela, A, Sadleir, LG, Sander, JW, Sander, T, Scala, M, Scattergood, T, Schachter, SC, Schankin, CJ, Scheffer, IE, Schmitz, B, Schoch, S, Schubert-Bast, S, Schulze-Bonhage, A, Scudieri, P, Sham, P, Sheidley, BR, Shih, JJ, Sills, GJ, Sisodiya, SM, Smith, MC, Smith, PE, Sonsma, ACM, Speed, D, Sperling, MR, Stefansson, H, Stefansson, K, Steinhoff, BJ, Stephani, U, Stewart, WC, Stipa, C, Striano, P, Stroink, H, Strzelczyk, A, Surges, R, Suzuki, T, Tan, KM, Taneja, RS, Tanteles, GA, Tauboll, E, Thio, LL, Thomas, GN, Thomas, RH, Timonen, O, Tinuper, P, Todaro, M, Topaloglu, P, Tozzi, R, Tsai, M-H, Tumiene, B, Turkdogan, D, Unnsteinsdottir, U, Utkus, A, Vaidiswaran, P, Valton, L, van Baalen, A, Vetro, A, Vining, EPG, Visscher, F, von Brauchitsch, S, von Wrede, R, Wagner, RG, Weber, YG, Weckhuysen, S, Weisenberg, J, Weller, M, Widdess-Walsh, P, Wolff, M, Wolking, S, Wu, D, Yamakawa, K, Yang, W, Yapici, Z, Yucesan, E, Zagaglia, S, Zahnert, F, Zara, F, Zhou, W, Zimprich, F, Zsurka, G, Ali, QZ, Stevelink, R, Campbell, C, Chen, S, Abou-Khalil, B, Adesoji, OM, Afawi, Z, Amadori, E, Anderson, A, Anderson, J, Andrade, DM, Annesi, G, Auce, P, Avbersek, A, Bahlo, M, Baker, MD, Balagura, G, Balestrini, S, Barba, C, Barboza, K, Bartolomei, F, Bast, T, Baum, L, Baumgartner, T, Baykan, B, Bebek, N, Becker, AJ, Becker, F, Bennett, CA, Berghuis, B, Berkovic, SF, Beydoun, A, Bianchini, C, Bisulli, F, Blatt, I, Bobbili, DR, Borggraefe, I, Bosselmann, C, Braatz, V, Bradfield, JP, Brockmann, K, Brody, LC, Buono, RJ, Busch, RM, Caglayan, H, Campbell, E, Canafoglia, L, Canavati, C, Cascino, GD, Castellotti, B, Catarino, CB, Cavalleri, GL, Cerrato, F, Chassoux, F, Cherny, SS, Cheung, C-L, Chinthapalli, K, Chou, I-J, Chung, S-K, Churchhouse, C, Clark, PO, Cole, AJ, Compston, A, Coppola, A, Cosico, M, Cossette, P, Craig, JJ, Cusick, C, Daly, MJ, Davis, LK, de Haan, G-J, Delanty, N, Depondt, C, Derambure, P, Devinsky, O, Di Vito, L, Dlugos, DJ, Doccini, V, Doherty, CP, El-Naggar, H, Elger, CE, Ellis, CA, Eriksson, JG, Faucon, A, Feng, Y-CA, Ferguson, L, Ferraro, TN, Ferri, L, Feucht, M, Fitzgerald, M, Fonferko-Shadrach, B, Fortunato, F, Franceschetti, S, Franke, A, French, JA, Freri, E, Gagliardi, M, Gambardella, A, Geller, EB, Giangregorio, T, Gjerstad, L, Glauser, T, Goldberg, E, Goldman, A, Granata, T, Greenberg, DA, Guerrini, R, Gupta, N, Haas, KF, Hakonarson, H, Hallmann, K, Hassanin, E, Hegde, M, Heinzen, EL, Helbig, I, Hengsbach, C, Heyne, HO, Hirose, S, Hirsch, E, Hjalgrim, H, Howrigan, DP, Hucks, D, Hung, P-C, Iacomino, M, Imbach, LL, Inoue, Y, Ishii, A, Jamnadas-Khoda, J, Jehi, L, Johnson, MR, Kalviainen, R, Kamatani, Y, Kanaan, M, Kanai, M, Kantanen, A-M, Kara, B, Kariuki, SM, Kasperaviciute, D, Trenite, DK-N, Kato, M, Kegele, J, Kesim, Y, Khoueiry-Zgheib, N, King, C, Kirsch, HE, Klein, KM, Kluger, G, Knake, S, Knowlton, RC, Koeleman, BPC, Korczyn, AD, Koupparis, A, Kousiappa, I, Krause, R, Krenn, M, Krestel, H, Krey, I, Kunz, WS, Kurki, MI, Kurlemann, G, Kuzniecky, R, Kwan, P, Labate, A, Lacey, A, Lal, D, Landoulsi, Z, Lau, Y-L, Lauxmann, S, Leech, SL, Lehesjoki, A-E, Lemke, JR, Lerche, H, Lesca, G, Leu, C, Lewin, N, Lewis-Smith, D, Li, GH-Y, Li, QS, Licchetta, L, Lin, K-L, Lindhout, D, Linnankivi, T, Lopes-Cendes, I, Lowenstein, DH, Lui, CHT, Madia, F, Magnusson, S, Marson, AG, May, P, McGraw, CM, Mei, D, Mills, JL, Minardi, R, Mirza, N, Moller, RS, Molloy, AM, Montomoli, M, Mostacci, B, Muccioli, L, Muhle, H, Mueller-Schlueter, K, Najm, IM, Nasreddine, W, Neale, BM, Neubauer, B, Newton, CRJC, Noethen, MM, Nothnagel, M, Nuernberg, P, O'Brien, TJ, Okada, Y, Olafsson, E, Oliver, KL, Ozkara, C, Palotie, A, Pangilinan, F, Papacostas, SS, Parrini, E, Pato, CN, Pato, MT, Pendziwiat, M, Petrovski, S, Pickrell, WO, Pinsky, R, Pippucci, T, Poduri, A, Pondrelli, F, Powell, RHW, Privitera, M, Rademacher, A, Radtke, R, Ragona, F, Rau, S, Rees, MI, Regan, BM, Reif, PS, Rhelms, S, Riva, A, Rosenow, F, Ryvlin, P, Saarela, A, Sadleir, LG, Sander, JW, Sander, T, Scala, M, Scattergood, T, Schachter, SC, Schankin, CJ, Scheffer, IE, Schmitz, B, Schoch, S, Schubert-Bast, S, Schulze-Bonhage, A, Scudieri, P, Sham, P, Sheidley, BR, Shih, JJ, Sills, GJ, Sisodiya, SM, Smith, MC, Smith, PE, Sonsma, ACM, Speed, D, Sperling, MR, Stefansson, H, Stefansson, K, Steinhoff, BJ, Stephani, U, Stewart, WC, Stipa, C, Striano, P, Stroink, H, Strzelczyk, A, Surges, R, Suzuki, T, Tan, KM, Taneja, RS, Tanteles, GA, Tauboll, E, Thio, LL, Thomas, GN, Thomas, RH, Timonen, O, Tinuper, P, Todaro, M, Topaloglu, P, Tozzi, R, Tsai, M-H, Tumiene, B, Turkdogan, D, Unnsteinsdottir, U, Utkus, A, Vaidiswaran, P, Valton, L, van Baalen, A, Vetro, A, Vining, EPG, Visscher, F, von Brauchitsch, S, von Wrede, R, Wagner, RG, Weber, YG, Weckhuysen, S, Weisenberg, J, Weller, M, Widdess-Walsh, P, Wolff, M, Wolking, S, Wu, D, Yamakawa, K, Yang, W, Yapici, Z, Yucesan, E, Zagaglia, S, Zahnert, F, Zara, F, Zhou, W, Zimprich, F, Zsurka, G, and Ali, QZ

Abstract

Epilepsy is a highly heritable disorder affecting over 50 million people worldwide, of which about one-third are resistant to current treatments. Here we report a multi-ancestry genome-wide association study including 29,944 cases, stratified into three broad categories and seven subtypes of epilepsy, and 52,538 controls. We identify 26 genome-wide significant loci, 19 of which are specific to genetic generalized epilepsy (GGE). We implicate 29 likely causal genes underlying these 26 loci. SNP-based heritability analyses show that common variants explain between 39.6% and 90% of genetic risk for GGE and its subtypes. Subtype analysis revealed markedly different genetic architectures between focal and generalized epilepsies. Gene-set analyses of GGE signals implicate synaptic processes in both excitatory and inhibitory neurons in the brain. Prioritized candidate genes overlap with monogenic epilepsy genes and with targets of current antiseizure medications. Finally, we leverage our results to identify alternate drugs with predicted efficacy if repurposed for epilepsy treatment.

Published
2023

4. Sub-genic intolerance, ClinVar, and the epilepsies: A whole-exome sequencing study of 29,165 individuals

Author

Motelow, JE, Povysil, G, Dhindsa, RS, Stanley, KE, Allen, AS, Feng, Y-CA, Howrigan, DP, Abbott, LE, Tashman, K, Cerrato, F, Cusick, C, Singh, T, Heyne, H, Byrnes, AE, Churchhouse, C, Watts, N, Solomonson, M, Lal, D, Gupta, N, Neale, BM, Cavalleri, GL, Cossette, P, Cotsapas, C, De Jonghe, P, Dixon-Salazar, T, Guerrini, R, Hakonarson, H, Heinzen, EL, Helbig, I, Kwan, P, Marson, AG, Petrovski, S, Kamalakaran, S, Sisodiya, SM, Stewart, R, Weckhuysen, S, Depondt, C, Dlugos, DJ, Scheffer, IE, Striano, P, Freyer, C, Krause, R, May, P, McKenna, K, Regan, BM, Bennett, CA, Leu, C, Leech, SL, O'Brien, TJ, Todaro, M, Stamberger, H, Andrade, DM, Ali, QZ, Sadoway, TR, Krestel, H, Schaller, A, Papacostas, SS, Kousiappa, I, Tanteles, GA, Christou, Y, Sterbova, K, Vlckova, M, Sedlackova, L, Lassuthova, P, Klein, KM, Rosenow, F, Reif, PS, Knake, S, Neubauer, BA, Zimprich, F, Feucht, M, Reinthaler, EM, Kunz, WS, Zsurka, G, Surges, R, Baumgartner, T, von Wrede, R, Pendziwiat, M, Muhle, H, Rademacher, A, van Baalen, A, von Spiczak, S, Stephani, U, Afawi, Z, Korczyn, AD, Kanaan, M, Canavati, C, Kurlemann, G, Muller-Schluter, K, Kluger, G, Haeusler, M, Blatt, I, Lemke, JR, Krey, I, Weber, YG, Wolking, S, Becker, F, Lauxmann, S, Bosselmann, C, Kegele, J, Hengsbach, C, Rau, S, Steinhoff, BJ, Schulze-Bonhage, A, Borggraefe, I, Schankin, CJ, Schubert-Bast, S, Schreiber, H, Mayer, T, Korinthenberg, R, Brockmann, K, Wolff, M, Dennig, D, Madeleyn, R, Kalviainen, R, Saarela, A, Timonen, O, Linnankivi, T, Lehesjoki, A-E, Rheims, S, Lesca, G, Ryvlin, P, Maillard, L, Valton, L, Derambure, P, Bartolomei, F, Hirsch, E, Michel, V, Chassoux, F, Rees, M, Chung, S-K, Pickrell, WO, Powell, R, Baker, MD, Fonferko-Shadrach, B, Lawthom, C, Anderson, J, Schneider, N, Balestrini, S, Zagaglia, S, Braatz, V, Johnson, MR, Auce, P, Sills, GJ, Baum, LW, Sham, PC, Cherny, SS, Lui, CHT, Delanty, N, Doherty, CP, Shukralla, A, El-Naggar, H, Widdess-Walsh, P, Barisi, N, Canafoglia, L, Franceschetti, S, Castellotti, B, Granata, T, Ragona, F, Zara, F, Iacomino, M, Riva, A, Madia, F, Vari, MS, Salpietro, V, Scala, M, Mancardi, MM, Nobili, L, Amadori, E, Giacomini, T, Bisulli, F, Pippucci, T, Licchetta, L, Minardi, R, Tinuper, P, Muccioli, L, Mostacci, B, Gambardella, A, Labate, A, Annesi, G, Manna, L, Gagliardi, M, Parrini, E, Mei, D, Vetro, A, Bianchini, C, Montomoli, M, Doccini, V, Barba, C, Hirose, S, Ishii, A, Suzuki, T, Inoue, Y, Yamakawa, K, Beydoun, A, Nasreddine, W, Zgheib, NK, Tumiene, B, Utkus, A, Sadleir, LG, King, C, Caglayan, SH, Arslan, M, Yapici, Z, Topaloglu, P, Kara, B, Yis, U, Turkdogan, D, Gundogdu-Eken, A, Bebek, N, Tsai, M-H, Ho, C-J, Lin, C-H, Lin, K-L, Chou, I-J, Poduri, A, Shiedley, BR, Shain, C, Noebels, JL, Goldman, A, Busch, RM, Jehi, L, Najm, IM, Ferguson, L, Khoury, J, Glauser, TA, Clark, PO, Buono, RJ, Ferraro, TN, Sperling, MR, Lo, W, Privitera, M, French, JA, Schachter, S, Kuzniecky, R, Devinsky, O, Hegde, M, Greenberg, DA, Ellis, CA, Goldberg, E, Helbig, KL, Cosico, M, Vaidiswaran, P, Fitch, E, Berkovic, SF, Lerche, H, Lowenstein, DH, Goldstein, DB, Motelow, JE, Povysil, G, Dhindsa, RS, Stanley, KE, Allen, AS, Feng, Y-CA, Howrigan, DP, Abbott, LE, Tashman, K, Cerrato, F, Cusick, C, Singh, T, Heyne, H, Byrnes, AE, Churchhouse, C, Watts, N, Solomonson, M, Lal, D, Gupta, N, Neale, BM, Cavalleri, GL, Cossette, P, Cotsapas, C, De Jonghe, P, Dixon-Salazar, T, Guerrini, R, Hakonarson, H, Heinzen, EL, Helbig, I, Kwan, P, Marson, AG, Petrovski, S, Kamalakaran, S, Sisodiya, SM, Stewart, R, Weckhuysen, S, Depondt, C, Dlugos, DJ, Scheffer, IE, Striano, P, Freyer, C, Krause, R, May, P, McKenna, K, Regan, BM, Bennett, CA, Leu, C, Leech, SL, O'Brien, TJ, Todaro, M, Stamberger, H, Andrade, DM, Ali, QZ, Sadoway, TR, Krestel, H, Schaller, A, Papacostas, SS, Kousiappa, I, Tanteles, GA, Christou, Y, Sterbova, K, Vlckova, M, Sedlackova, L, Lassuthova, P, Klein, KM, Rosenow, F, Reif, PS, Knake, S, Neubauer, BA, Zimprich, F, Feucht, M, Reinthaler, EM, Kunz, WS, Zsurka, G, Surges, R, Baumgartner, T, von Wrede, R, Pendziwiat, M, Muhle, H, Rademacher, A, van Baalen, A, von Spiczak, S, Stephani, U, Afawi, Z, Korczyn, AD, Kanaan, M, Canavati, C, Kurlemann, G, Muller-Schluter, K, Kluger, G, Haeusler, M, Blatt, I, Lemke, JR, Krey, I, Weber, YG, Wolking, S, Becker, F, Lauxmann, S, Bosselmann, C, Kegele, J, Hengsbach, C, Rau, S, Steinhoff, BJ, Schulze-Bonhage, A, Borggraefe, I, Schankin, CJ, Schubert-Bast, S, Schreiber, H, Mayer, T, Korinthenberg, R, Brockmann, K, Wolff, M, Dennig, D, Madeleyn, R, Kalviainen, R, Saarela, A, Timonen, O, Linnankivi, T, Lehesjoki, A-E, Rheims, S, Lesca, G, Ryvlin, P, Maillard, L, Valton, L, Derambure, P, Bartolomei, F, Hirsch, E, Michel, V, Chassoux, F, Rees, M, Chung, S-K, Pickrell, WO, Powell, R, Baker, MD, Fonferko-Shadrach, B, Lawthom, C, Anderson, J, Schneider, N, Balestrini, S, Zagaglia, S, Braatz, V, Johnson, MR, Auce, P, Sills, GJ, Baum, LW, Sham, PC, Cherny, SS, Lui, CHT, Delanty, N, Doherty, CP, Shukralla, A, El-Naggar, H, Widdess-Walsh, P, Barisi, N, Canafoglia, L, Franceschetti, S, Castellotti, B, Granata, T, Ragona, F, Zara, F, Iacomino, M, Riva, A, Madia, F, Vari, MS, Salpietro, V, Scala, M, Mancardi, MM, Nobili, L, Amadori, E, Giacomini, T, Bisulli, F, Pippucci, T, Licchetta, L, Minardi, R, Tinuper, P, Muccioli, L, Mostacci, B, Gambardella, A, Labate, A, Annesi, G, Manna, L, Gagliardi, M, Parrini, E, Mei, D, Vetro, A, Bianchini, C, Montomoli, M, Doccini, V, Barba, C, Hirose, S, Ishii, A, Suzuki, T, Inoue, Y, Yamakawa, K, Beydoun, A, Nasreddine, W, Zgheib, NK, Tumiene, B, Utkus, A, Sadleir, LG, King, C, Caglayan, SH, Arslan, M, Yapici, Z, Topaloglu, P, Kara, B, Yis, U, Turkdogan, D, Gundogdu-Eken, A, Bebek, N, Tsai, M-H, Ho, C-J, Lin, C-H, Lin, K-L, Chou, I-J, Poduri, A, Shiedley, BR, Shain, C, Noebels, JL, Goldman, A, Busch, RM, Jehi, L, Najm, IM, Ferguson, L, Khoury, J, Glauser, TA, Clark, PO, Buono, RJ, Ferraro, TN, Sperling, MR, Lo, W, Privitera, M, French, JA, Schachter, S, Kuzniecky, R, Devinsky, O, Hegde, M, Greenberg, DA, Ellis, CA, Goldberg, E, Helbig, KL, Cosico, M, Vaidiswaran, P, Fitch, E, Berkovic, SF, Lerche, H, Lowenstein, DH, and Goldstein, DB

Abstract

Both mild and severe epilepsies are influenced by variants in the same genes, yet an explanation for the resulting phenotypic variation is unknown. As part of the ongoing Epi25 Collaboration, we performed a whole-exome sequencing analysis of 13,487 epilepsy-affected individuals and 15,678 control individuals. While prior Epi25 studies focused on gene-based collapsing analyses, we asked how the pattern of variation within genes differs by epilepsy type. Specifically, we compared the genetic architectures of severe developmental and epileptic encephalopathies (DEEs) and two generally less severe epilepsies, genetic generalized epilepsy and non-acquired focal epilepsy (NAFE). Our gene-based rare variant collapsing analysis used geographic ancestry-based clustering that included broader ancestries than previously possible and revealed novel associations. Using the missense intolerance ratio (MTR), we found that variants in DEE-affected individuals are in significantly more intolerant genic sub-regions than those in NAFE-affected individuals. Only previously reported pathogenic variants absent in available genomic datasets showed a significant burden in epilepsy-affected individuals compared with control individuals, and the ultra-rare pathogenic variants associated with DEE were located in more intolerant genic sub-regions than variants associated with non-DEE epilepsies. MTR filtering improved the yield of ultra-rare pathogenic variants in affected individuals compared with control individuals. Finally, analysis of variants in genes without a disease association revealed a significant burden of loss-of-function variants in the genes most intolerant to such variation, indicating additional epilepsy-risk genes yet to be discovered. Taken together, our study suggests that genic and sub-genic intolerance are critical characteristics for interpreting the effects of variation in genes that influence epilepsy.

Published
2021

7. Polygenic burden in focal and generalized epilepsies

Author

Leu C., Stevelink R., Smith A. W., Goleva S. B., Kanai M., Ferguson L., Campbell C., Kamatani Y., Okada Y., Sisodiya S. M., Cavalleri G. L., Koeleman B. P. C., Lerche H., Jehi L., Davis L. K., Najm I. M., Palotie A., Daly M. J., Busch R. M., Lal D., Feng Y. -C. A., Howrigan D. P., Abbott L. E., Tashman K., Cerrato F., Churchhouse C., Gupta N., Neale B. M., Berkovic S. F., Goldstein D. B., Lowenstein D. H., Cossette P., Cotsapas C., De Jonghe P., Dixon-Salazar T., Guerrini R., Hakonarson H., Heinzen E. L., Helbig I., Kwan P., Marson A. G., Petrovski S., Kamalakaran S., Stewart R., Weckhuysen S., Depondt C., Dlugos D. J., Scheffer I. E., Striano P., Freyer C., Krause R., May P., McKenna K., Regan B. M., Bellows S. T., Bennett C. A., Johns E. M. C., Macdonald A., Shilling H., Burgess R., Weckhuysen D., Bahlo M., O'Brien T. J., Todaro M., Stamberger H., Andrade D. M., Sadoway T. R., Mo K., Krestel H., Gallati S., Papacostas S. S., Kousiappa I., Tanteles G. A., Sterbova K., Vlckova M., Sedlackova L., Lassuthova P., Klein K. M., Rosenow F., Reif P. S., Knake S., Kunz W. S., Zsurka G., Elger C. E., Bauer J., Rademacher M., Pendziwiat M., Muhle H., Rademacher A., Van Baalen A., Von Spiczak S., Stephani U., Afawi Z., Korczyn A. D., Kanaan M., Canavati C., Kurlemann G., Muller-Schluter K., Kluger G., Hausler M., Blatt I., Lemke J. R., Krey I., Weber Y. G., Wolking S., Becker F., Hengsbach C., Rau S., Maisch A. F., Steinhoff B. J., Schulze-Bonhage A., Schubert-Bast S., Schreiber H., Borggrafe I., Schankin C. J., Mayer T., Korinthenberg R., Brockmann K., Dennig D., Madeleyn R., Kalviainen R., Auvinen P., Saarela A., Linnankivi T., Lehesjoki A. -E., Rees M. I., Chung S. -K., Pickrell W. O., Powell R., Schneider N., Balestrini S., Zagaglia S., Braatz V., Johnson M. R., Auce P., Sills G. J., Baum L. W., Sham P. C., Cherny S. S., Lui C. H. T., Barisic N., Delanty N., Doherty C. P., Shukralla A., McCormack M., El-Naggar H., Canafoglia L., Franceschetti S., Castellotti B., Granata T., Zara F., Iacomino M., Madia F., Vari M. S., Mancardi M. M., Salpietro V., Bisulli F., Tinuper P., Licchetta L., Pippucci T., Stipa C., Muccioli L., Minardi R., Gambardella A., Labate A., Annesi G., Manna L., Gagliardi M., Parrini E., Mei D., Vetro A., Bianchini C., Montomoli M., Doccini V., Marini C., Suzuki T., Inoue Y., Yamakawa K., Birute T., Ruta M., Algirdas U., Ruta P., Jurgita G., Ruta S., Sadleir L. G., King C., Mountier E., Caglayan S. H., Arslan M., Yapici Z., Yis U., Topaloglu P., Kara B., Turkdogan D., Gundogdu-Eken A., Bebek N., Ugur-Iseri S., Baykan B., Salman B., Haryanyan G., Yucesan E., Kesim Y., Ozkara C., Sheidley B. R., Shain C., Poduri A., Buono R. J., Ferraro T. N., Sperling M. R., Lo W., Privitera M., French J. A., Schachter S., Kuzniecky R. I., Devinsky O., Hegde M., Khankhanian P., Helbig K. L., Ellis C. A., Spalletta G., Piras F., Gili T., Ciullo V., Leu C., Stevelink R., Smith A.W., Goleva S.B., Kanai M., Ferguson L., Campbell C., Kamatani Y., Okada Y., Sisodiya S.M., Cavalleri G.L., Koeleman B.P.C., Lerche H., Jehi L., Davis L.K., Najm I.M., Palotie A., Daly M.J., Busch R.M., Lal D., Feng Y.-C.A., Howrigan D.P., Abbott L.E., Tashman K., Cerrato F., Churchhouse C., Gupta N., Neale B.M., Berkovic S.F., Goldstein D.B., Lowenstein D.H., Cossette P., Cotsapas C., De Jonghe P., Dixon-Salazar T., Guerrini R., Hakonarson H., Heinzen E.L., Helbig I., Kwan P., Marson A.G., Petrovski S., Kamalakaran S., Stewart R., Weckhuysen S., Depondt C., Dlugos D.J., Scheffer I.E., Striano P., Freyer C., Krause R., May P., McKenna K., Regan B.M., Bellows S.T., Bennett C.A., Johns E.M.C., Macdonald A., Shilling H., Burgess R., Weckhuysen D., Bahlo M., O'Brien T.J., Todaro M., Stamberger H., Andrade D.M., Sadoway T.R., Mo K., Krestel H., Gallati S., Papacostas S.S., Kousiappa I., Tanteles G.A., Sterbova K., Vlckova M., Sedlackova L., Lassuthova P., Klein K.M., Rosenow F., Reif P.S., Knake S., Kunz W.S., Zsurka G., Elger C.E., Bauer J., Rademacher M., Pendziwiat M., Muhle H., Rademacher A., Van Baalen A., Von Spiczak S., Stephani U., Afawi Z., Korczyn A.D., Kanaan M., Canavati C., Kurlemann G., Muller-Schluter K., Kluger G., Hausler M., Blatt I., Lemke J.R., Krey I., Weber Y.G., Wolking S., Becker F., Hengsbach C., Rau S., Maisch A.F., Steinhoff B.J., Schulze-Bonhage A., Schubert-Bast S., Schreiber H., Borggrafe I., Schankin C.J., Mayer T., Korinthenberg R., Brockmann K., Dennig D., Madeleyn R., Kalviainen R., Auvinen P., Saarela A., Linnankivi T., Lehesjoki A.-E., Rees M.I., Chung S.-K., Pickrell W.O., Powell R., Schneider N., Balestrini S., Zagaglia S., Braatz V., Johnson M.R., Auce P., Sills G.J., Baum L.W., Sham P.C., Cherny S.S., Lui C.H.T., Barisic N., Delanty N., Doherty C.P., Shukralla A., McCormack M., El-Naggar H., Canafoglia L., Franceschetti S., Castellotti B., Granata T., Zara F., Iacomino M., Madia F., Vari M.S., Mancardi M.M., Salpietro V., Bisulli F., Tinuper P., Licchetta L., Pippucci T., Stipa C., Muccioli L., Minardi R., Gambardella A., Labate A., Annesi G., Manna L., Gagliardi M., Parrini E., Mei D., Vetro A., Bianchini C., Montomoli M., Doccini V., Marini C., Suzuki T., Inoue Y., Yamakawa K., Birute T., Ruta M., Algirdas U., Ruta P., Jurgita G., Ruta S., Sadleir L.G., King C., Mountier E., Caglayan S.H., Arslan M., Yapici Z., Yis U., Topaloglu P., Kara B., Turkdogan D., Gundogdu-Eken A., Bebek N., Ugur-Iseri S., Baykan B., Salman B., Haryanyan G., Yucesan E., Kesim Y., Ozkara C., Sheidley B.R., Shain C., Poduri A., Buono R.J., Ferraro T.N., Sperling M.R., Lo W., Privitera M., French J.A., Schachter S., Kuzniecky R.I., Devinsky O., Hegde M., Khankhanian P., Helbig K.L., Ellis C.A., Spalletta G., Piras F., Gili T., Ciullo V., Commission of the European Communities, Medical Research Council (MRC), Tumienė, Birutė, Mameniškienė, Rūta, Utkus, Algirdas, Praninskienė, Rūta, Grikinienė, Jurgita, Samaitienė-Aleknienė, Rūta, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, University of Helsinki, Helsinki Institute of Life Science HiLIFE, and Department of Medical and Clinical Genetics

Subjects
0301 basic medicine, Male, Multifactorial Inheritance, Epi25 Consortium, Databases, Factual, FEATURES, Genome-wide association study, Epilepsies, 3124 Neurology and psychiatry, Cohort Studies, Epilepsy, 0302 clinical medicine, Cost of Illness, 1ST SEIZURE, HISTORY, genetics, POPULATION, 11 Medical and Health Sciences, education.field_of_study, medicine.diagnostic_test, SCORES, Single Nucleotide, Biobank, 3. Good health, 17 Psychology and Cognitive Sciences, Genetic generalized epilepsy, Epilepsy, Generalized, Female, Partial, Cohort study, Human, medicine.medical_specialty, Population, European Continental Ancestry Group, Clinical Neurology, BIOBANK, Polymorphism, Single Nucleotide, epilepsy, genetic generalized epilepsy, common variant risk, Databases, 03 medical and health sciences, Genetic, Internal medicine, medicine, Journal Article, Genetics, Humans, Genetic Predisposition to Disease, Polymorphism, GENOME-WIDE ASSOCIATION, Generalized epilepsy, education, SEIZURE RECURRENCE, Factual, METAANALYSIS, Genetic testing, Neurology & Neurosurgery, RISK PREDICTION, Generalized, business.industry, 3112 Neurosciences, Common variant risk, Genetic Variation, Original Articles, medicine.disease, Comorbidity, Cost of Illne, Epilepsies, Partial, Genome-Wide Association Study, 030104 developmental biology, Neurology (clinical), Cohort Studie, business, 030217 neurology & neurosurgery
Abstract

See Hansen and Møller (doi:10.1093/brain/awz318) for a scientific commentary on this article. Using polygenic risk scores from a genome-wide association study in generalized and focal epilepsy, Leu et al. reveal a significantly higher genetic burden for epilepsy in multiple cohorts of people with epilepsy compared to population controls. Quantification of common variant burden may be valuable for epilepsy prognosis and treatment., 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.

Published
2019
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8. Epilepsy subtype-specific copy number burden observed in a genome-wide study of 17458 subjects

Author

Niestroj, LM, Perez-Palma, E, Howrigan, DP, Zhou, Y, Cheng, F, Saarentaus, E, Nürnberg, P, Stevelink, R, Daly, MJ, Palotie, A, Lal, D, Feng, YCA, Abbott, LE, Tashman, K, Cerrato, F, Churchhouse, C, Gupta, N, Neale, BM, Berkovic, SF, Lerche, H, Goldstein, DB, Lowenstein, DH, Cavalleri, GL, Cossette, P, Cotsapas, C, De Jonghe, P, Dixon-Salazar, T, Guerrini, R, Hakonarson, H, Heinzen, EL, Helbig, I, Kwan, P, Marson, AG, Petrovski, S, Kamalakaran, S, Sisodiya, SM, Stewart, R, Weckhuysen, S, Depondt, C, Dlugos, DJ, Scheffer, IE, Striano, P, Freyer, C, Krause, R, May, P, McKenna, K, Regan, BM, Leu, C, Bennett, CA, Bellows, Susannah, Johns, EMC, MacDonald, A, Shilling, H, Burgess, R, Weckhuysen, D, Bahlo, M, O'Brien, TJ, Todaro, M, Stamberger, H, Andrade, DM, Sadoway, TR, Mo, K, Krestel, H, Gallati, S, Papacostas, SS, Kousiappa, I, Tanteles, GA, Šterbová, K, Vlcková, M, Sedlácková, L, Laššuthová, P, Martin, K, Rosenow, F, Reif, PS, Knake, S, Kunz, WS, Zsurka, G, Elger, CE, Bauer, J, Rademacher, M, Pendziwiat, M, Muhle, H, Rademacher, A, Van Baalen, A, Von Spiczak, S, Stephani, U, Afawi, Z, Korczyn, AD, Kanaan, M, Canavati, C, Kurlemann, G, Müller-Schlüter, K, Kluger, G, Häusler, M, Blatt, I, Lemke, JR, Krey, I, Weber, YG, Wolking, S, Becker, F, Niestroj, LM, Perez-Palma, E, Howrigan, DP, Zhou, Y, Cheng, F, Saarentaus, E, Nürnberg, P, Stevelink, R, Daly, MJ, Palotie, A, Lal, D, Feng, YCA, Abbott, LE, Tashman, K, Cerrato, F, Churchhouse, C, Gupta, N, Neale, BM, Berkovic, SF, Lerche, H, Goldstein, DB, Lowenstein, DH, Cavalleri, GL, Cossette, P, Cotsapas, C, De Jonghe, P, Dixon-Salazar, T, Guerrini, R, Hakonarson, H, Heinzen, EL, Helbig, I, Kwan, P, Marson, AG, Petrovski, S, Kamalakaran, S, Sisodiya, SM, Stewart, R, Weckhuysen, S, Depondt, C, Dlugos, DJ, Scheffer, IE, Striano, P, Freyer, C, Krause, R, May, P, McKenna, K, Regan, BM, Leu, C, Bennett, CA, Bellows, Susannah, Johns, EMC, MacDonald, A, Shilling, H, Burgess, R, Weckhuysen, D, Bahlo, M, O'Brien, TJ, Todaro, M, Stamberger, H, Andrade, DM, Sadoway, TR, Mo, K, Krestel, H, Gallati, S, Papacostas, SS, Kousiappa, I, Tanteles, GA, Šterbová, K, Vlcková, M, Sedlácková, L, Laššuthová, P, Martin, K, Rosenow, F, Reif, PS, Knake, S, Kunz, WS, Zsurka, G, Elger, CE, Bauer, J, Rademacher, M, Pendziwiat, M, Muhle, H, Rademacher, A, Van Baalen, A, Von Spiczak, S, Stephani, U, Afawi, Z, Korczyn, AD, Kanaan, M, Canavati, C, Kurlemann, G, Müller-Schlüter, K, Kluger, G, Häusler, M, Blatt, I, Lemke, JR, Krey, I, Weber, YG, Wolking, S, and Becker, F

Abstract

Cytogenic testing is routinely applied in most neurological centres for severe paediatric epilepsies. However, which characteristics of copy number variants (CNVs) confer most epilepsy risk and which epilepsy subtypes carry the most CNV burden, have not been explored on a genome-wide scale. Here, we present the largest CNV investigation in epilepsy to date with 10 712 European epilepsy cases and 6746 ancestry-matched controls. Patients with genetic generalized epilepsy, lesional focal epilepsy, non-acquired focal epilepsy, and developmental and epileptic encephalopathy were included. All samples were processed with the same technology and analysis pipeline. All investigated epilepsy types, including lesional focal epilepsy patients, showed an increase in CNV burden in at least one tested category compared to controls. However, we observed striking differences in CNV burden across epilepsy types and investigated CNV categories. Genetic generalized epilepsy patients have the highest CNV burden in all categories tested, followed by developmental and epileptic encephalopathy patients. Both epilepsy types also show association for deletions covering genes intolerant for truncating variants. Genome-wide CNV breakpoint association showed not only significant loci for genetic generalized and developmental and epileptic encephalopathy patients but also for lesional focal epilepsy patients. With a 34-fold risk for developing genetic generalized epilepsy, we show for the first time that the established epilepsy-associated 15q13.3 deletion represents the strongest risk CNV for genetic generalized epilepsy across the whole genome. Using the human interactome, we examined the largest connected component of the genes overlapped by CNVs in the four epilepsy types. We observed that genetic generalized epilepsy and non-acquired focal epilepsy formed disease modules. In summary, we show that in all common epilepsy types, 1.5-3% of patients carry epilepsy-associated CNVs. The character

Published
2020

9. Intronic ATTTC repeat expansions in STARD7 in familial adult myoclonic epilepsy linked to chromosome 2

Author

Corbett, MA, Kroes, T, Veneziano, L, Bennett, MF, Florian, R, Schneider, AL, Coppola, A, Licchetta, L, Franceschetti, S, Suppa, A, Wenger, A, Mei, D, Pendziwiat, M, Kaya, S, Delledonne, M, Straussberg, R, Xumerle, L, Regan, B, Crompton, D, van Rootselaar, A-F, Correll, A, Catford, R, Bisulli, F, Chakraborty, S, Baldassari, S, Tinuper, P, Barton, K, Carswell, S, Smith, M, Berardelli, A, Carroll, R, Gardner, A, Friend, KL, Blatt, I, Iacomino, M, Di Bonaventura, C, Striano, S, Buratti, J, Keren, B, Nava, C, Forlani, S, Rudolf, G, Hirsch, E, Leguern, E, Labauge, P, Balestrini, S, Sander, JW, Afawi, Z, Helbig, I, Ishiura, H, Tsuji, S, Sisodiya, SM, Casari, G, Sadleir, LG, van Coller, R, Tijssen, MAJ, Klein, KM, van den Maagdenberg, AMJM, Zara, F, Guerrini, R, Berkovic, SF, Pippucci, T, Canafoglia, L, Bahlo, M, Striano, P, Scheffer, IE, Brancati, F, Depienne, C, Gecz, J, Corbett, MA, Kroes, T, Veneziano, L, Bennett, MF, Florian, R, Schneider, AL, Coppola, A, Licchetta, L, Franceschetti, S, Suppa, A, Wenger, A, Mei, D, Pendziwiat, M, Kaya, S, Delledonne, M, Straussberg, R, Xumerle, L, Regan, B, Crompton, D, van Rootselaar, A-F, Correll, A, Catford, R, Bisulli, F, Chakraborty, S, Baldassari, S, Tinuper, P, Barton, K, Carswell, S, Smith, M, Berardelli, A, Carroll, R, Gardner, A, Friend, KL, Blatt, I, Iacomino, M, Di Bonaventura, C, Striano, S, Buratti, J, Keren, B, Nava, C, Forlani, S, Rudolf, G, Hirsch, E, Leguern, E, Labauge, P, Balestrini, S, Sander, JW, Afawi, Z, Helbig, I, Ishiura, H, Tsuji, S, Sisodiya, SM, Casari, G, Sadleir, LG, van Coller, R, Tijssen, MAJ, Klein, KM, van den Maagdenberg, AMJM, Zara, F, Guerrini, R, Berkovic, SF, Pippucci, T, Canafoglia, L, Bahlo, M, Striano, P, Scheffer, IE, Brancati, F, Depienne, C, and Gecz, J

Abstract

Familial Adult Myoclonic Epilepsy (FAME) is characterised by cortical myoclonic tremor usually from the second decade of life and overt myoclonic or generalised tonic-clonic seizures. Four independent loci have been implicated in FAME on chromosomes (chr) 2, 3, 5 and 8. Using whole genome sequencing and repeat primed PCR, we provide evidence that chr2-linked FAME (FAME2) is caused by an expansion of an ATTTC pentamer within the first intron of STARD7. The ATTTC expansions segregate in 158/158 individuals typically affected by FAME from 22 pedigrees including 16 previously reported families recruited worldwide. RNA sequencing from patient derived fibroblasts shows no accumulation of the AUUUU or AUUUC repeat sequences and STARD7 gene expression is not affected. These data, in combination with other genes bearing similar mutations that have been implicated in FAME, suggest ATTTC expansions may cause this disorder, irrespective of the genomic locus involved.

Published
2019

10. Selective measurements of isoprene and 2-methyl-3-buten-2-ol based on NO+ ionization mass spectrometry

Author

Karl, T, Hansel, A, Cappellin, L, Kaser, L, Herdlinger-Blatt, I, and Jud, W

Subjects
lcsh:Chemistry, Settore CHIM/01 - CHIMICA ANALITICA, lcsh:QD1-999, lcsh:Physics, lcsh:QC1-999
Abstract

Biogenic VOC emissions are often dominated by 2-methyl-1,3-butadiene (isoprene) and 2-methyl-3-buten-2-ol (232 MBO). Here we explore the possibility to selectively distinguish these species using NO+ as a primary ion in a conventional PTR-MS equipped with an SRI unit. High purity of NO+ (>90%) as a primary ion was utilized in laboratory and field experiments using a conventional PTR-TOF-MS. Isoprene is ionized via charge transfer leading to the major product ion C5H8+ (>99%) (e.g. Spanel and Smith, 1998). 232 MBO undergoes a hydroxide ion transfer reaction resulting in the major product ion channel C5H9+ (>95%) (e.g. Amelynck et al., 2005). We show that both compounds are ionized with little fragmentation (>5%) under standard operating conditions. Typical sensitivities of 11.1 ± 0.1 (isoprene) and 12.9 ± 0.1 (232 MBO) ncps ppbv−1 were achieved, which correspond to limit of detections of 18 and 15 pptv respectively for a 10 s integration time. Sensitivities decreased at higher collisional energies. Calibration experiments showed little humidity dependence. We tested the setup at a field site in Colorado dominated by ponderosa pine, a 232 MBO emitting plant species. Our measurements confirm 232 MBO as the dominant biogenic VOC at this site, exhibiting typical average daytime concentrations between 0.2–1.4 ppbv. The method is able to detect the presence of trace levels of isoprene at this field site (90–250 ppt) without any interference from 232 MBO, which would not be feasible using H3O+ ionization chemistry, and which currently also remains a challenge for other analytical techniques (e.g. gas chromatographic methods).

Published
2012

11. Thrombin regulation of synaptic transmission: implications for seizure onset

Author

Maggio N, Cavaliere C, Blatt I, Chapman J, Segal M., PAPA, Michele, Maggio, N, Cavaliere, C, Papa, Michele, Blatt, I, Chapman, J, and Segal, M.

Subjects
nervous system
Abstract

Seizures are a common outcome of cerebrovascular events as well as of traumatic brain injuries. Thrombin, a protease-activated receptor (PAR) agonist, has been implicated in the onset of seizures in these settings, yet its mode of action is not entirely clear. In this study, the effect of thrombin and a PAR-1 agonist on neuronal excitability and synaptic currents was assessed by whole cell-patch recordings of pyramidal neurons in rat hippocampal slices. In addition, PAR-1 distribution in different hippocampal regions was assessed using immunohistochemistry. We found that thrombin caused an increase in spontaneous action potential discharges of CA3 but not of CA1 pyramidal neurons. When excitatory synaptic activity was blocked, thrombin caused a marked reduction in spontaneous IPSCs in CA3 neurons and a marked increase in the frequency of IPSCs in CA1 neurons. These effects are likely to be local, as they were reproduced in TTX-treated slices. In parallel, thrombin increased both the frequency and the amplitude of mEPSCs only in CA3 neurons. These effects were blocked by a selective PAR-1 antagonist. The higher expression of PAR-1 in stratum lucidum of CA3 is correlated with the effects of thrombin in this region. These results suggest that thrombin triggers the generation of epileptic seizures by reducing the inhibitory and increasing the excitatory tone in CA3 neurons, providing a novel insight to the pathophysiology of seizures following cerebrovascular events and present new avenues for therapeutic intervention.

Published
2013

12. Seizures as presenting and prominent symptom in chorea-acanthocytosis with c.2343del VPS13A gene mutation

Author

Benninger, F, Afawi, Z, Korczyn, AD, Oliver, KL, Pendziwiat, M, Nakamura, M, Sano, A, Helbig, I, Berkovic, SF, Blatt, I, Benninger, F, Afawi, Z, Korczyn, AD, Oliver, KL, Pendziwiat, M, Nakamura, M, Sano, A, Helbig, I, Berkovic, SF, and Blatt, I

Abstract

OBJECTIVE: The aim of the study was to characterize the clinical features of nine patients in three families with chorea-acanthocytosis (ChAc) sharing the same rare c.2343del mutation in the VPS13A gene. METHODS: Genetic test results, clinical description, magnetic resonance imaging (MRI), and electroencephalography (EEG), as well as laboratory results are summarized. RESULTS: ChAc is a rare genetic disorder characterized by hyperkinetic movements, seizures, cognitive decline, neuropsychiatric symptoms, and acanthocytes on peripheral blood smear. This unique cohort of nine patients is characterized by seizures as a first and prominent symptom. In our patients, other features of ChAc appeared later, including tics, other movement disorders, dysarthria, and mild to moderate cognitive decline. SIGNIFICANCE: Patients with chorea-acanthocytosis carrying the described rare mutation can present with focal, treatment-resistant seizures.

Published
2016

13. Multiplex families with epilepsy Success of clinical and molecular genetic characterization

Author

Afawi, Z, Oliver, KL, Kivity, S, Mazarib, A, Blatt, I, Neufeld, MY, Helbig, KL, Goldberg-Stern, H, Misk, AJ, Straussberg, R, Walid, S, Mahajnah, M, Lerman-Sagie, T, Ben-Zeev, B, Kahana, E, Masalha, R, Kramer, U, Ekstein, D, Shorer, Z, Wallace, RH, Mangelsdorf, M, MacPherson, JN, Carvill, GL, Mefford, HC, Jackson, GD, Scheffer, IE, Bahlo, M, Gecz, J, Heron, SE, Corbett, M, Mulley, JC, Dibbens, LM, Korczyn, AD, Berkovic, SF, Afawi, Z, Oliver, KL, Kivity, S, Mazarib, A, Blatt, I, Neufeld, MY, Helbig, KL, Goldberg-Stern, H, Misk, AJ, Straussberg, R, Walid, S, Mahajnah, M, Lerman-Sagie, T, Ben-Zeev, B, Kahana, E, Masalha, R, Kramer, U, Ekstein, D, Shorer, Z, Wallace, RH, Mangelsdorf, M, MacPherson, JN, Carvill, GL, Mefford, HC, Jackson, GD, Scheffer, IE, Bahlo, M, Gecz, J, Heron, SE, Corbett, M, Mulley, JC, Dibbens, LM, Korczyn, AD, and Berkovic, SF

Abstract

OBJECTIVE: To analyze the clinical syndromes and inheritance patterns of multiplex families with epilepsy toward the ultimate aim of uncovering the underlying molecular genetic basis. METHODS: Following the referral of families with 2 or more relatives with epilepsy, individuals were classified into epilepsy syndromes. Families were classified into syndromes where at least 2 family members had a specific diagnosis. Pedigrees were analyzed and molecular genetic studies were performed as appropriate. RESULTS: A total of 211 families were ascertained over an 11-year period in Israel. A total of 169 were classified into broad familial epilepsy syndrome groups: 61 generalized, 22 focal, 24 febrile seizure syndromes, 33 special syndromes, and 29 mixed. A total of 42 families remained unclassified. Pathogenic variants were identified in 49/211 families (23%). The majority were found in established epilepsy genes (e.g., SCN1A, KCNQ2, CSTB), but in 11 families, this cohort contributed to the initial discovery (e.g., KCNT1, PCDH19, TBC1D24). We expand the phenotypic spectrum of established epilepsy genes by reporting a familial LAMC3 homozygous variant, where the predominant phenotype was epilepsy with myoclonic-atonic seizures, and a pathogenic SCN1A variant in a family where in 5 siblings the phenotype was broadly consistent with Dravet syndrome, a disorder that usually occurs sporadically. CONCLUSION: A total of 80% of families were successfully classified, with pathogenic variants identified in 23%. The successful characterization of familial electroclinical and inheritance patterns has highlighted the value of studying multiplex families and their contribution towards uncovering the genetic basis of the epilepsies.

Published
2016

15. Features associated with epilepsy in the antiphospholipid syndrome

Author

Shoenfeld, Y, Lev, S, Blatt, I, Blank, M, Font, J, von Landenberg, P, Lev, N, Zaech, J, Cervera, R, Piette, Jc, Bertolaccini, Ml, Hughes, Gr, Youinou, P, Meroni, Pl, Pengo, V, Alves, Jd, Tincani, Angela, Szegedi, G, Lakos, G, Sturfelt, G, Jonsen, A, Koike, T, Sanmarco, M, Ruffatti, A, Ulcova Gallova, Z, Praprotnik, S, Rozman, B, Lorber, M, Chapman, J, van Breda Vriezman PJ, and Damoiseaux, J.

Published
2004

16. Features associated with epilepsy in the antiphospholipid syndrome

Author

Shoenfeld, Y., Lev, S., Blatt, I., Font, J., VON LANDENBERG, P., Lev, N., Zaech, J., Cervera, R., Piette, J. C., Bertolaccini, M. L., Hughes, G. R., Youinou, P., Meroni, P. L., Pengo, Vittorio, Alves, J. D., Tincani, A., Szegedi, G., Lakos, G., Sturfelt, G., Jonsen, A., Koike, T., Sanmarco, M., Ruffatti, Amelia, ULCOVA GALLOVA, Z., Praprotnik, S., Rozman, B., Lorber, M., Chapman, J., VAN BREDA VRIEZMAN, P. J., and Damoiseaux, J.

Published
2004

19. PRRT2 mutations: exploring the phenotypical boundaries

Author

Djemie, T., primary, Weckhuysen, S., additional, Holmgren, P., additional, Hardies, K., additional, Van Dyck, T., additional, Hendrickx, R., additional, Schoonjans, A.-S., additional, Van Paesschen, W., additional, Jansen, A. C., additional, De Meirleir, L., additional, Selim, L. A. M., additional, Girgis, M. Y., additional, Buyse, G., additional, Lagae, L., additional, Smets, K., additional, Smouts, I., additional, Claeys, K. G., additional, Van den Bergh, V., additional, Grisar, T., additional, Blatt, I., additional, Shorer, Z., additional, Roelens, F., additional, Afawi, Z., additional, Helbig, I., additional, Ceulemans, B., additional, De Jonghe, P., additional, and Suls, A., additional

Published
2013
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21. Comparison of different real time VOC measurement techniques in a ponderosa pine forest

Author

Kaser, L., primary, Karl, T., additional, Schnitzhofer, R., additional, Graus, M., additional, Herdlinger-Blatt, I. S., additional, DiGangi, J. P., additional, Sive, B., additional, Turnipseed, A., additional, Hornbrook, R. S., additional, Zheng, W., additional, Flocke, F. M., additional, Guenther, A., additional, Keutsch, F. N., additional, Apel, E., additional, and Hansel, A., additional

Published
2013
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24. Comparison of different real time VOC measurement techniques in a ponderosa pine forest

Author

Kaser, L., primary, Karl, T., additional, Schnitzhofer, R., additional, Graus, M., additional, Herdlinger-Blatt, I. S., additional, DiGangi, J. P., additional, Sive, B., additional, Turnipseed, A., additional, Hornbrook, R. S., additional, Zheng, W., additional, Flocke, F. M., additional, Guenther, A., additional, Keutsch, F. N., additional, Apel, E., additional, and Hansel, A., additional

Published
2012
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26. Seizures in E200K familial and sporadic Creutzfeldt-Jakob disease.

Author

Appel, S., Chapman, J., Cohen, O. S., Rosenmann, H., Nitsan, Z., and Blatt, I.

Abstract

Background Although seizures (other than myoclonus) are frequently reported in Creutzfeldt‐Jakob disease (CJD), their frequency, clinical manifestations, and effect on the disease course is unknown. Objectives To characterize the frequency of seizures in E200K familial and sporadic CJD, to describe its semiology, EEG and MRI findings. Methods In this retrospective study, we reviewed all patients with CJD who were seen in the Sheba Medical Center between the years 2003–2012 and underwent clinical evaluation, genetic testing, EEG and MRI studies. The diagnosis of seizures was carried out based on documentation of episodes consistent with seizures or episode of unresponsiveness correlated with ictal activity in EEG. Results Sixty‐four probable patients with CJD were included in the study, 57 (89%) with E200K familial (fCJD) and 7 (11%) with sporadic (sCJD). Seizures occurred in 8 patients: 3 of 7 (43%) in patients with sCJD compared to 5/57 (9%) in patients with E200K fCJD (P = 0.04, chi‐square test). Two of E200K fCJD patients with seizures had other non‐prion etiologies for seizures (brain metastasis, known history of temporal lobe epilepsy which started 44 years before the diagnosis of CJD). Seizures occurred late in the course of the disease with an average of 12 days between the onset of seizures and death. Conclusion Seizures in E200K fCJD were infrequent and occurred late in the disease course. This difference suggests that E200K fCJD represents a separate subtype of the disease with distinct clinical characteristics. [ABSTRACT FROM AUTHOR]

Published
2015
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29. Autosomal recessive form of periventricular heterotopia

Author

Sheen, V. L., primary, Topcu, M., additional, Berkovic, S., additional, Yalnizoglu, D., additional, Blatt, I., additional, Bodell, A., additional, Hill, R. S., additional, Ganesh, V. S., additional, Cherry, T. J., additional, Shugart, Y. Y., additional, and Walsh, C. A., additional

Published
2003
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32. Production of methyl vinyl ketone and methacrolein via the hydroperoxyl pathway of isoprene oxidation.

Author

Y. J. Liu, Herdlinger-Blatt, I., McKinney, K. A., and Martin, S. T.

Subjects
METHYL vinyl ketone, HYDROPEROXIDES, ISOPRENE, OXIDATION, PROTON transfer reactions
Abstract

The photo-oxidation chemistry of isoprene (ISOP; C5H8) was studied in a continuous-flow chamber under conditions such that the reactions of the isoprene-derived peroxyl radicals (RO2) were dominated by the hydroperoxyl (HO2) pathway. A proton-transfer-reaction time-offlight mass spectrometer (PTR-TOF-MS) with switchable H3O+ and NO+ reagent ions was used for product analysis. The products methyl vinyl ketone (MVK; C4H6O) and methacrolein (MACR; C4H6O) were differentiated using NO+ reagent ions. The MVK and MACR yields via the HO2 pathway were (3.8±1.3)% and (2.5±0.9) %, respectively, at +25 °C and <2% relative humidity. The respective yields were (41.4±5.5)% and (29.6±4.2)% via the NO pathway. Production of MVK and MACR via the HO2 pathway implies concomitant production of hydroxyl ((6.3±2.1) %) and hydroperoxyl ((6.3±2.1) %) radicals, meaning a HOx recycling of (12.6±4.2)% given that HO2 was both a reactant and product. Other isoprene oxidation products, believed to be mostly organic hydroperoxides, also contributed to the ion intensity at the same mass-to-charge (m/z) ratios as the MVK and MACR product ions for HO2-dominant conditions. These products were selectively removed from the gas phase by placement of a cold trap (-40 °C) inline prior to the PTR-TOF-MS. When incorporated into regional and global chemical transport models, the yields of MVK and MACR and the concomitant HOx recycling reported in this study can improve the accuracy of the simulation of the HO2 reaction pathway of isoprene, which is believed to be the fate of approximately half of atmospherically produced isoprenederived peroxy radicals on a global scale. [ABSTRACT FROM AUTHOR]

Published
2013
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33. Letters to the editor

Author

Gupta, Sudha R., primary, Bastian, Robert W., additional, Ando, Yukio, additional, Ueyama, Hidetsugu, additional, Watanabe, Susumu, additional, Miyaji, Masumi, additional, Tanaka, Yoshiya, additional, Ando, Masayuki, additional, Araki, Shukuro, additional, Spillane, Kate, additional, Nagendran, Kulan, additional, Pedoe, Dan S. Tunstall, additional, Ikeda, Ken, additional, Mitsumoto, Hiroshi, additional, Gutmann, Ludwig, additional, Gutierrez, Alvaro, additional, Burton, Valeric, additional, Hopf, Hanns C., additional, Sadeh, M., additional, Pauzner, R., additional, Blatt, I., additional, Mouallem, M., additional, Farfel, Z., additional, Siegel, Irwin M., additional, Bernardoni, Gene, additional, Baithun, Suhail, additional, Swash, Michael, additional, Hasan, Nadir, additional, Wagg, Adrian, additional, Ghanem, Q., additional, Jacobs, Daniel H., additional, Jamieson, Patrick W., additional, Masakado, Yoshihisa, additional, Noda, Yukio, additional, Chino, Naoichi, additional, Nagata, Masa-aki, additional, Kimura, Akio, additional, and Akaboshi, Kazuto, additional

Published
1993
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34. Letters to the editor

Author

Arenas, Joaqu�n, primary, Huertas, Rosa A., additional, Campos, Yolanda, additional, Cabello, Ana, additional, Gutierrez, Eduardo, additional, Bautista, Juan, additional, Segura, Dolores, additional, Pauzner, R., additional, Blatt, I., additional, Mouallem, M., additional, Farfel, Z., additional, Sadeh, M., additional, Magistris, Michel, additional, Roth, G�rard, additional, Parry, Gareth J. G., additional, Vieregge, Peter, additional, and Bein, Gregor, additional

Published
1992
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35. Selective measurements of isoprene and 2-methyl-3-buten-2-ol based on NO+ ionization mass spectrometry.

Author

Karl, T., Hansel, A., Cappellin, L., Kaser, L., Herdlinger-Blatt, I., and Jud, W.

Subjects
FIELD ionization mass spectrometry, ISOPRENE, CHARGE transfer, NITRIC oxide, ATMOSPHERIC chemistry, VOLATILE organic compounds, CHEMICAL reactions, GAS chromatography
Abstract

Biogenic VOC emissions are often dominated by 2-methyl-1,3-butadiene (isoprene) and 2-methyl-3-buten-2-ol (232MBO). Here we explore the possibility to selectively distinguish these species using NO+ as a primary ion in a conventional PTR-MS equipped with an SRI unit. High purity of NO+ (>90%) as a primary ion was utilized in laboratory and field experiments using a conventional PTR-TOF-MS. Isoprene is ionized via charge transfer leading to the major product ion C5H8+ (>99%) (e.g. Spanel and Smith, 1998). 232 MBO undergoes a hydroxide ion transfer reaction resulting in the major product ion channel C5H9+ (>95%) (e.g. Amelynck et al., 2005). We show that both compounds are ionized with little fragmentation (<5%) under standard operating conditions. Typical sensitivities of 11.1 ± 0.1 (isoprene) and 12.9 ± 0.1 (232 MBO) ncps ppbv-1 were achieved, which correspond to limit of detections of 18 and 15 pptv respectively for a 10 s integration time. Sensitivities decreased at higher collisional energies. Calibration experiments showed little humidity dependence. We tested the setup at a field site in Colorado dominated by ponderosa pine, a 232MBO emitting plant species. Our measurements confirm 232 MBO as the dominant biogenic VOC at this site, exhibiting typical average daytime concentrations between 0.2-1.4 ppbv. The method is able to detect the presence of trace levels of isoprene at this field site (90-250 ppt) without any interference from 232 MBO, which would not be feasible using H3O+ ionization chemistry, and which currently also remains a challenge for other analytical techniques (e.g. gas chromatographic methods). [ABSTRACT FROM AUTHOR]

Published
2012
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37. Production of methyl vinyl ketone and methacrolein via the hydroperoxyl pathway of isoprene oxidation.

Author

Liu, Y. J., Herdlinger-Blatt, I., McKinney, K. A., and Martin, S. T.

Abstract

The photo-oxidation chemistry of isoprene (C5H8) was studied in a continuous-flow chamber under conditions such that the reactions of isoprene-derived peroxyl radicals (RO2) were dominated by hydroperoxyl (HO2) pathway. A proton-transfer-reaction time-of-flight mass spectrometer (PTR-TOF-MS) with switchable H3O+ and NO+ reagent ions was used for product analysis. The products methyl vinyl ketone (MVK; C4H6O) and methacrolein (MACR; C4H6O) were differentiated using NO+ reagent ions. The MVK and MACR yields were 4.3±0.4% and 3.2±0.3 %, respectively, for HO2-dominant conditions at +25 °C and <2% relative humidity. The respective yields were 41.1±2.2% and 28.8±1.2% for NO-dominant conditions. The yields for HO2-dominant conditions imply a concomitant yield (i.e., recycling factor) of hydrogen oxide radicals (HOx) of 15±0.7% from the reaction of isoprene-derived RO2 with HO2. Other isoprene oxidation products, believed to be organic hydroperoxides, also contributed to the ion intensity at the same mass-to-charge (m/z) ratios as the MVK and MACR product ions, and these products were selectively removed from the gas phase using a variable temperature cold trap (-40 °C) in front of the PTR-TOF-MS. These hydroperoxide products were absent for NO-dominant conditions. When incorporated into regional and global chemical transport models, the yields of MVK and MACR and concomitant HOx yields reported in this study will improve the accuracy of simulations of the HO2 reaction pathway of isoprene, which has been shown to make a significant contribution to the total reactivity of isoprene-derived RO2 radicals on a global scale. [ABSTRACT FROM AUTHOR]

Published
2012
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38. Comparison of different real time VOC measurement techniques in a ponderosa pine forest.

Author

Kaser, L., Karl, T., Schnitzhofer, R., Graus, M., Herdlinger-Blatt, I. S., DiGangi, J. P., Sive, B., Turnipseed, A., Hornbrook, R. S., Zheng, W., Flocke, F. M., Guenther, A., Keutsch, F. N., Apel, E., and Hansel, A.

Abstract

Volatile organic compound (VOC) mixing ratios measured by five independent instruments are compared at a forested site dominated by ponderosa pine (Pinus Ponderosa) during the BEACHON-ROCS field study in summer 2010. The instruments included a Proton Transfer Reaction Time of Flight Mass Spectrometer (PTR-TOF-MS), a Proton Transfer Reaction Quadrupole Mass Spectrometer (PTR-MS), a Fast Online Gas-Chromatograph coupled to a Mass Spectrometer (GC/MS; TOGA), a Thermal Dissociation Chemical Ionization Mass Spectrometer (PAN-CIMS) and a Fiber Laser- Induced Fluorescence Instrument (FILIF). The species discussed in this comparison include the most important biogenic VOCs and a selected suite of oxygenated VOCs that are thought to dominate the VOC reactivity at this particular site as well as typical anthropogenic VOCs that showed low mixing ratios at this site. Good agreement was observed for methanol, the sum of the oxygenated hemiterpene 2-methyl-3-buten-2-ol (MBO) and the hemiterpene isoprene, acetaldehyde, the sum of acetone and propanal, benzene and the sum of methyl ethyl ketone (MEK) and butanal. Measurements of the above VOCs conducted by different instruments agree within 20%. The ability to differentiate the presence of toluene and cymene by PTR-TOF-MS is tested based on a comparison with GC-MS measurements, suggesting a study-average relative contribution of 74% for toluene and 26% for cymene. Similarly, 2-hydroxy-2-methylpropanal (HMPR) is found to interfere with the sum of methyl vinyl ketone and methacrolein (MVK+MAC) using PTR-(TOF)-MS at this site. A study-average relative contribution of 85% for MVK+MAC and 15% for HMPR was determined. The sum of monoterpenes measured by PTR-MS and PTR-TOF-MS was generally 20-25% higher than the sum of speciated monoterpenes measured by TOGA, which included α-pinene, β-pinene, camphene, carene, myrcene, limonene, cineole as well as other terpenes. However, this difference is consistent throughout the study, and likely points to an offset in calibration, rather than a difference in the ability to measure the sum of terpenes. The contribution of isoprene relative to MBO inferred from PTR-MS and PTR-TOF-MS was smaller than 12% while GC-MS data suggested an average of 21% of isoprene relative to MBO. This comparison demonstrates that the current capability of VOC measurements to account for OH reactivity associated with the measured VOCs is within 20%. [ABSTRACT FROM AUTHOR]

Published
2012
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