32 results on '"Susannah T Bellows"'
Search Results
2. Investigating the effect of polygenic background on epilepsy phenotype in ‘monogenic’ familiesResearch in context
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Karen L. Oliver, Ingrid E. Scheffer, Colin A. Ellis, Bronwyn E. Grinton, Samuel F. Berkovic, Melanie Bahlo, Zaid Afawi, Dina Amrom, Eva Andermann, Jocelyn F. Bautista, Susannah T. Bellows, Judith Bluvstein, Gregory D. Cascino, Seo-Kyung Chung, Patrick Cossette, Sarah W. Curtis, Norman Delanty, Orrin Devinsky, Dennis Dlugos, Michael P. Epstein, Catharine Freyer, Micheline Gravel, Rebekah V. Harris, Erin L. Heinzen, Olivia J. Henry, Heidi E. Kirsch, Robert C. Knowlton, Eric H. Kossoff, Rebecca Loeb, Daniel H. Lowenstein, Anthony G. Marson, Heather C. Mefford, Paul V. Motika, Terence J. O'Brien, Ruth Ottman, Juliann M. Paolicchi, Slave Petrovski, William O. Pickrell, Mark I. Rees, Lynette G. Sadleir, Jerry J. Shih, Rani K. Singh, Michael C. Smith, Philip E.M. Smith, Rhys H. Thomas, Judith Weisenberg, Peter Widdess-Walsh, and Melodie R. Winawer
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Epilepsy genetics ,Familial epilepsies ,Genetic modifiers ,Polygenic risk ,GEFS+ ,GABRG2 ,Medicine ,Medicine (General) ,R5-920 - Abstract
Summary: Background: Phenotypic variability within families with epilepsy is often observed, even when relatives share the same monogenic cause. We aimed to investigate whether common polygenic risk for epilepsy could explain the penetrance and phenotypic expression of rare pathogenic variants in familial epilepsies. Methods: We studied 58 clinically heterogeneous families with genetic epilepsy with febrile seizures plus (GEFS+). Relatives were coded as either unaffected or affected with epilepsy, and graded according to phenotype severity: no seizures, febrile seizures (FS) only, febrile seizures plus (FS+), generalised/focal epilepsy, or developmental and epileptic encephalopathy (DEE). Epilepsy polygenic risk scores (PRSs) were tested for association with epilepsy phenotype. Within families, the mean PRS difference was compared between pairs concordant versus discordant for phenotype severity. Statistical analyses were performed using mixed-effect regression models. Findings: 304 individuals segregating a known, or presumed, rare variant of large effect, were studied. Within families, higher epilepsy polygenic risk was associated with an epilepsy diagnosis (OR = 1.39, 95% CI 1.08, 1.80, padj = 0.040). Relatives with a more severe phenotype had a mean pairwise PRS difference of +0.19 higher than relatives with a milder phenotype (padj = 0.010). The difference increased with greater phenotype discordance between relatives. As the cohort included two rare variants with >30 relatives each, variant-specific genotype–phenotype associations could also be analysed. Whilst the epilepsy PRS effect was strong for relatives segregating the GABRG2 p.Arg82Gln pathogenic variant (padj = 0.0010), the effect was not significant for SCN1B p.Cys121Trp. Interpretation: We provide support for genetic background modifying the penetrance and phenotypic expression of rare variants associated with ‘monogenic’ epilepsies. In GEFS+ families, relatives with higher epilepsy PRSs were more likely to show penetrance (epilepsy diagnosis) and a more severe phenotype. Variant-specific analyses suggest that some rare variants may be more susceptible to PRS modification, carrying important genetic counselling and disease prognostication implications for patients. Funding: National Health and Medical Research Council of Australia, Medical Research Future Fund of Australia.
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- 2024
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3. Longitudinal Associations between COVID-19 Stress and the Mental Health of Children with ADHD
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Ainsley Summerton, Susannah T. Bellows, Elizabeth M. Westrupp, Mark A. Stokes, David Coghill, Mark A. Bellgrove, Delyse Hutchinson, Stephen P. Becker, Glenn Melvin, Jon Quach, Daryl Efron, Argyris Stringaris, Christel M. Middeldorp, Tobias Banaschewski, and Emma Sciberras
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Objective: To investigate the longitudinal associations between COVID-19 induced stress (related to COVID-19 restrictions/changes), attention-deficit/hyperactivity disorder (ADHD) symptoms, oppositional symptoms, and mental health outcomes (negative affect, anxiety, depression, and irritability) in children with ADHD during the COVID-19 pandemic. Method: Parents of 140 Australian children with ADHD (aged 5-17 years) completed an online survey in May 2020 during stay-at-home restrictions and 12-months later. Results: Baseline COVID-19 stress was associated with increased total ADHD symptom severity ([beta] = 0.21, p = 0.007) and hyperactivity/impulsivity symptoms ([beta] = 0.23, p = 0.002) at 12-months, after accounting for covariates (i.e., child age, gender, ADHD medication, socio-economic status, and baseline symptoms). Despite some indication of associations between baseline COVID-19 stress and 12-month oppositional symptoms and negative affect, these were attenuated when adjusting for baseline symptoms. Conclusions: The study provides initial evidence of the medium-term impacts of pandemic-related stress for children with ADHD.
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- 2023
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4. Sleeping Sound Autism Spectrum Disorder (ASD): a randomised controlled trial of a brief behavioural sleep intervention in primary school‐aged autistic children
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Nicole Papadopoulos, Emma Sciberras, Harriet Hiscock, Katrina Williams, Jane McGillivray, Cathrine Mihalopoulos, Lidia Engel, Matthew Fuller‐Tyszkiewicz, Susannah T. Bellows, Deborah Marks, Patricia Howlin, and Nicole Rinehart
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Sleep Wake Disorders ,Schools ,Adolescent ,Autism Spectrum Disorder ,Australia ,Psychiatry and Mental health ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Quality of Life ,Developmental and Educational Psychology ,Humans ,Autistic Disorder ,Child ,Sleep - Abstract
Behavioural sleep problems are common in children with autism spectrum disorder (ASD); however, evidence for the efficacy of behavioural sleep interventions is limited. This study examined the efficacy of a brief behavioural sleep intervention in autistic children. It was hypothesised that the intervention would reduce overall child sleep problems (primary outcome), in addition to improvements in children's social, emotional, cognitive, academic functioning, and quality of life, and parent/caregivers' stress, quality of life, and mental health (secondary outcomes).A randomised controlled trial was conducted with participants randomised via a computer-generated sequence to the sleeping sound intervention (n = 123) or treatment as usual (n = 122) group. Participants comprised 245 children with an ASD diagnosis. Inclusion criteria were as follows: confirmation of DSM IV or DSM-5 diagnosis of ASD, participants aged between 5 and 13 years and parent/caregiver report of moderate-severe sleep problems. Exclusion criteria were as follows: parent/caregiver intellectual disability or lacking sufficient English to complete questionnaires; and child participant with co-occurring medical conditions known to impact sleep. The intervention group received the sleeping sound intervention (2 × 50-min face-to-face sessions plus follow-up phone call) by a trained clinician.Change in children's sleep problems was measured by the Children's Sleep Habits Questionnaire (CSHQ) at 3 months post randomisation. Parents/caregivers of children in the intervention group reported a reduction in child sleep problems at 3 months post randomisation (effect size: E.S -0.7). There were also small effects in a number of child (internalising symptoms, emotional behavioural disturbance and quality of life) and parent/caregiver (mental health, parenting stress and quality of life) outcomes; however, these did not remain significant when controlling for multiple comparisons.The sleeping sound ASD intervention is an efficacious and practical way to reduce sleep problems for autistic children. This brief behavioural intervention has the potential to be embedded easily into the Australian healthcare system.
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- 2022
5. Randomised Controlled Trial of a Behavioural Sleep Intervention, 'Sleeping Sound', for Autistic Children: 12-Month Outcomes and Moderators of Treatment
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Emily Pattison, Nicole Papadopoulos, Matthew Fuller-Tyszkiewicz, Emma Sciberras, Harriet Hiscock, Katrina Williams, Jane McGillivray, Cathrine Mihalopoulos, Susannah T. Bellows, Deborah Marks, Patricia Howlin, and Nicole Rinehart
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Developmental and Educational Psychology - Abstract
This study examined the sustained and moderating effects of a behavioural sleep intervention for autistic children in a randomised controlled trial. Autistic children (5-13 years) with sleep problems were randomised to the Sleeping Sound intervention or Treatment as Usual (TAU). At 12-month follow-up (n = 150), caregivers of children in the Sleeping Sound group reported greater reduction in child sleep problems compared to TAU (p .001, effect size: - 0.4). The long-term benefits of the intervention were greater for children taking sleep medication, children of parents who were not experiencing psychological distress, and children with greater autism severity. The Sleeping Sound intervention demonstrated sustained improvements in child sleep. Identified moderators may inform treatment by indicating which subgroups may benefit from further support.
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- 2022
6. Familial adult myoclonic epilepsy type 1 SAMD12 TTTCA repeat expansion arose 17,000 years ago and is present in Sri Lankan and Indian families
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Susannah T. Bellows, Jozef Gecz, Matthew Coleman, Thessa Kroes, Amy L Schneider, Brigid M. Regan, Karen Oliver, Samuel F. Berkovic, Haloom Rafehi, Douglas E. Crompton, Mark F. Bennett, Mark A. Corbett, Melanie Bahlo, Neblina Sikta, Michael S. Hildebrand, and Ingrid E. Scheffer
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Male ,Indian origin ,India ,Epilepsies, Myoclonic ,Nerve Tissue Proteins ,Locus (genetics) ,Biology ,Brief Communication ,Genetics ,medicine ,Humans ,Genetics (clinical) ,Sri Lanka ,Whole genome sequencing ,Haplotype ,medicine.disease ,Founder Effect ,Pedigree ,Haplotypes ,Evolutionary biology ,Mutation ,Myoclonic epilepsy ,Female ,Sri lanka ,Trinucleotide repeat expansion ,Founder effect - Abstract
Familial adult myoclonic epilepsy 1 (FAME1), first recognised in Japanese families, was recently shown to be caused by a TTTCA repeat insertion in intron 4 of SAMD12 on chromosome 8. We performed whole genome sequencing on two families with FAME, one of Sri Lankan origin and the other of Indian origin, and identified a TTTCA repeat insertion in SAMD12 in both families. Haplotype analysis revealed that both families shared the same core ancestral haplotype reported in Japanese and Chinese families with FAME1. Mutation dating, based on the length of shared haplotypes, estimated the age of the ancestral haplotype to be ~670 generations, or 17,000 years old. Our data extend the geographic range of this repeat expansion to Southern Asia and potentially implicate an even broader regional distribution given the age of the variant. This finding suggests patients of Asian ancestry with suspected FAME should be screened for the SAMD12 TTTCA expansion.
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- 2020
7. Physical health, media use, and mental health in children and adolescents with ADHD during the COVID-19 pandemic in Australia
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Jon Quach, George Loram, Stephen V. Faraone, Anna Jackson, Timothy J. Silk, Argyris Stringaris, Jane McGillivray, Christel M. Middeldorp, Glenn A. Melvin, Lidia Engel, David Coghill, Mark A. Stokes, Amanda G. Wood, Pooja Patel, Stephen P. Becker, Emma Sciberras, Delyse Hutchinson, Susannah T. Bellows, Tobias Banaschewski, Alicia Montgomery, Elizabeth M. Westrupp, Daryl Efron, and Mark A. Bellgrove
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Coronavirus disease 2019 (COVID-19) ,Adolescent ,111714 Mental Health ,Diseases ,FOS: Health sciences ,03 medical and health sciences ,0302 clinical medicine ,Media use ,111708 Health and Community Services ,Pandemic ,Developmental and Educational Psychology ,medicine ,Humans ,ADHD ,030212 general & internal medicine ,Child ,Pandemics ,SARS-CoV-2 ,Australia ,Physical health ,COVID-19 ,Loneliness ,Odds ratio ,Articles ,Mental health ,Health Care ,Clinical Psychology ,Mental Health ,Attention Deficit Disorder with Hyperactivity ,Psychological well-being ,psychological well-being ,medicine.symptom ,Psychology ,030217 neurology & neurosurgery ,Demography - Abstract
Objective: To examine the impact of COVID-19 restrictions among children with attention-deficit/hyperactivity disorder (ADHD). Methods: Parents of 213 Australian children (5–17 years) with ADHD completed a survey in May 2020 when COVID-19 restrictions were in place (i.e., requiring citizens to stay at home except for essential reasons). Results: Compared to pre-pandemic, children had less exercise (Odds Ratio (OR) = 0.4; 95% CI 0.3–0.6), less outdoor time (OR = 0.4; 95% 0.3–0.6), and less enjoyment in activities (OR = 6.5; 95% CI 4.0–10.4), while television (OR = 4.0; 95% CI 2.5–6.5), social media (OR = 2.4; 95% CI 1.3–4.5), gaming (OR = 2.0; 95% CI 1.3–3.0), sad/depressed mood (OR = 1.8; 95% CI 1.2–2.8), and loneliness (OR = 3.6; 95% CI 2.3–5.5) were increased. Child stress about COVID-19 restrictions was associated with poorer functioning across most domains. Most parents (64%) reported positive changes for their child including more family time. Conclusions: COVID-19 restrictions were associated with both negative and positive impacts among children with ADHD.
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- 2022
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8. Quantitative analysis of phenotypic elements augments traditional electroclinical classification of common familial epilepsies
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Orrin Devinsky, Samuel F. Berkovic, Catharine Freyer, Annapurna Poduri, Eric B. Geller, Amos D. Korczyn, Heidi E. Kirsch, Nathan B. Fountain, Rosemary Burgess, Jack M. Parent, Jocelyn F. Bautista, Susannah T. Bellows, Robert C. Knowlton, David Goldstein, Dennis J. Dlugos, Heather C Mefford, Anthony G Marson, Mike Smith, Sabrina Cristofaro, Erin L. Heinzen, Bassel Abou-Khalil, Michael P. Epstein, Douglas E. Crompton, Eileen P.G. Vining, Kevin McKenna, Steven Petrou, Anu Venkat, Eric H. Kossoff, Gretchen Von Allmen, Sheryl R. Haut, Ruben Kuzniecky, Juliann M. Paolicchi, Colin A Ellis, Rani K. Singh, Simon Glynn, Daniel H. Lowenstein, Liu Lin Thio, Lynette G. Sadleir, Rebecca Loeb, Norman Delanty, Terence J. O'Brien, Paul V. Motika, Peter Widdess-Walsh, Sara Kivity, Gregory D. Cascino, Slavé Petrovski, Ruth Ottman, Micheline Gravel, Andrew S. Allen, Jerry J. Shih, Ingrid E. Scheffer, Joseph I Sirven, William O. Pickrell, Tracy A. Glauser, Judith L.Z. Weisenberg, Judith Bluvstein, Zaid Afawi, Phil Smith, Kevin F. Haas, Mark McCormack, Hadassa Goldberg-Stern, Sarah Paterson, Melodie R. Winawer, Mark I. Rees, Saul A. Mullen, Patrick Cossette, and Rhys H. Thomas
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Male ,0301 basic medicine ,Concordance ,Electroencephalography ,Article ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,medicine ,Humans ,Medical history ,Generalized epilepsy ,medicine.diagnostic_test ,Seizure types ,business.industry ,Family aggregation ,medicine.disease ,Latent class model ,Pedigree ,Phenotype ,030104 developmental biology ,Neurology ,Latent Class Analysis ,Female ,Neurology (clinical) ,business ,Epileptic Syndromes ,030217 neurology & neurosurgery ,Clinical psychology - 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 identifying homogeneous sets of individuals that may share underlying disease mechanisms.
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- 2019
9. Distinct gene-set burden patterns underlie common generalized and focal epilepsies
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Mahmoud Koko, Roland Krause, Thomas Sander, Dheeraj Reddy Bobbili, Michael Nothnagel, Patrick May, Holger Lerche, Yen-Chen Anne Feng, Daniel P Howrigan, Liam E Abbott, Katherine Tashman, Felecia Cerrato, Tarjinder Singh, Henrike Heyne, Andrea Byrnes, Claire Churchhouse, Nick Watts, Matthew Solomonson, Dennis Lal, Erin L Heinzen, Ryan S Dhindsa, Kate E Stanley, Gianpiero L Cavalleri, Hakon Hakonarson, Ingo Helbig, Sarah Weckhuysen, Slavé Petrovski, Sitharthan Kamalakaran, Sanjay M Sisodiya, Patrick Cossette, Chris Cotsapas, Peter DeJonghe, Tracy Dixon-Salazar, Renzo Guerrini, Patrick Kwan, Anthony G Marson, Randy Stewart, Chantal Depondt, Dennis J Dlugos, Ingrid E Scheffer, Pasquale Striano, Catharine Freyer, Kevin McKenna, Brigid M Regan, Susannah T Bellows, Costin Leu, Caitlin A Bennett, Esther M C Johns, Alexandra Macdonald, Hannah Shilling, Rosemary Burgess, Dorien Weckhuysen, Melanie Bahlo, Terence J O'Brien, Marian Todaro, Hannah Stamberger, Danielle M Andrade, Tara R Sadoway, Kelly Mo, Heinz Krestel, Sabina Gallati, Savvas S Papacostas, Ioanna Kousiappa, George A Tanteles, Katalin Štěrbová, Markéta Vlčková, Lucie Sedláčková, Petra Laššuthová, Karl Martin Klein, Felix Rosenow, Philipp S Reif, Susanne Knake, Wolfram S Kunz, Gábor Zsurka, Christian E Elger, Jürgen Bauer, Michael Rademacher, Manuela Pendziwiat, Hiltrud Muhle, Annika Rademacher, Andreas vanBaalen, Sarah vonSpiczak, Ulrich Stephani, Zaid Afawi, Amos D Korczyn, Moien Kanaan, Christina Canavati, Gerhard Kurlemann, Karen Müller-Schlüter, Gerhard Kluger, Martin Häusler, Ilan Blatt, Johannes R Lemke, Ilona Krey, Yvonne G Weber, Stefan Wolking, Felicitas Becker, Christian Hengsbach, Sarah Rau, Ana F Maisch, Bernhard J Steinhoff, Andreas Schulze-Bonhage, Susanne Schubert-Bast, Herbert Schreiber, Ingo Borggräfe, Christoph J Schankin, Thomas Mayer, Rudolf Korinthenberg, Knut Brockmann, Dieter Dennig, Rene Madeleyn, Reetta Kälviäinen, Pia Auvinen, Anni Saarela, Tarja Linnankivi, Anna-Elina Lehesjoki, Mark I Rees, Seo-Kyung Chung, William O Pickrell, Robert Powell, Natascha Schneider, Simona Balestrini, Sara Zagaglia, Vera Braatz, Michael R Johnson, Pauls Auce, Graeme J Sills, Larry W Baum, Pak C Sham, Stacey S Cherny, Colin H T Lui, Nina Barišić, Norman Delanty, Colin P Doherty, Arif Shukralla, Mark McCormack, Hany El-Naggar, Laura Canafoglia, Silvana Franceschetti, Barbara Castellotti, Tiziana Granata, Federico Zara, Michele Iacomino, Francesca Madia, Maria Stella Vari, Maria Margherita Mancardi, Vincenzo Salpietro, Francesca Bisulli, Paolo Tinuper, Laura Licchetta, Tommaso Pippucci, Carlotta Stipa, Raffaella Minardi, Antonio Gambardella, Angelo Labate, Grazia Annesi, Lorella Manna, Monica Gagliardi, Elena Parrini, Davide Mei, Annalisa Vetro, Claudia Bianchini, Martino Montomoli, Viola Doccini, Carla Marini, Toshimitsu Suzuki, Yushi Inoue, Kazuhiro Yamakawa, Birute Tumiene, Lynette G Sadleir, Chontelle King, Emily Mountier, Hande S Caglayan, Mutluay Arslan, Zuhal Yapıcı, Uluc Yis, Pınar Topaloglu, Bulent Kara, Dilsad Turkdogan, Aslı Gundogdu-Eken, Nerses Bebek, Sibel Uğur-İşeri, Betül Baykan, Barış Salman, Garen Haryanyan, Emrah Yücesan, Yeşim Kesim, Çiğdem Özkara, Annapurna Poduri, Beth R Shiedley, Catherine Shain, Russell J Buono, Thomas N Ferraro, Michael R Sperling, Warren Lo, Michael Privitera, Jacqueline A French, Steven Schachter, Ruben I Kuzniecky, Orrin Devinsky, Manu Hegde, Pouya Khankhanian, Katherine L Helbig, Colin A Ellis, Gianfranco Spalletta, Fabrizio Piras, Federica Piras, Tommaso Gili, Valentina Ciullo, Andreas Reif, Andrew McQuillin, Nick Bass, Andrew McIntosh, Douglas Blackwood, Mandy Johnstone, Aarno Palotie, Michele T Pato, Carlos N Pato, Evelyn J Bromet, Celia Barreto Carvalho, Eric D Achtyes, Maria Helena Azevedo, Roman Kotov, Douglas S Lehrer, Dolores Malaspina, Stephen R Marder, Helena Medeiros, Christopher P Morley, Diana O Perkins, Janet L Sobell, Peter F Buckley, Fabio Macciardi, Mark H Rapaport, James A Knowles, Genomic Psychiatry Cohort, Ayman H Fanous, Steven A McCarroll, Namrata Gupta, Stacey B Gabriel, Mark J Daly, Eric S Lander, Daniel H Lowenstein, David B Goldstein, Samuel F Berkovic, Benjamin M Neale, Epi25 Collaborative, Koko M., Krause R., Sander T., Bobbili D.R., Nothnagel M., May P., Lerche H., Bisulli F., Tinuper P., Pippucci T., Abbott, Liam E., Hengsbach, Christian, Rau, Sarah, Maisch, Ana F., Steinhoff, Bernhard J., Schulze-Bonhage, Andreas, Schubert-Bast, Susanne, Schreiber, Herbert, Borggräfe, Ingo, Schankin, Christoph J., Mayer, Thomas, Tashman, Katherine, Korinthenberg, Rudolf, Brockmann, Knut, Kurlemann, Gerhard, Dennig, Dieter, Madeleyn, Rene, Kälviäinen, Reetta, Auvinen, Pia, Saarela, Anni, Linnankivi, Tarja, Lehesjoki, Anna-Elina, Cerrato, Felecia, Rees, Mark I., Chung, Seo-Kyung, Pickrell, William O., Powell, Robert, Schneider, Natascha, Balestrini, Simona, Zagaglia, Sara, Braatz, Vera, Johnson, Michael R., Auce, Pauls, Singh, Tarjinder, Sills, Graeme J., Baum, Larry W., Sham, Pak C., Cherny, Stacey S., Lui, Colin H. T., Barišic, Nina, Delanty, Norman, Doherty, Colin P., Shukralla, Arif, McCormack, Mark, Heyne, Henrike, El-Naggar, Hany, Canafoglia, Laura, Franceschetti, Silvana, Castellotti, Barbara, Granata, Tiziana, Zara, Federico, Iacomino, Michele, Madia, Francesca, Vari, Maria Stella, Mancardi, Maria Margherita, Byrnes, Andrea, Salpietro, Vincenzo, Bisulli, Francesca, Tinuper, Paolo, Licchetta, Laura, Pippucci, Tommaso, Stipa, Carlotta, Minardi, Raffaella, Gambardella, Antonio, Labate, Angelo, Annesi, Grazia, Churchhouse, Claire, Manna, Lorella, Gagliardi, Monica, Parrini, Elena, Mei, Davide, Vetro, Annalisa, Bianchini, Claudia, Montomoli, Martino, Doccini, Viola, Marini, Carla, Suzuki, Toshimitsu, Watts, Nick, Inoue, Yushi, Yamakawa, Kazuhiro, Tumiene, Birute, Sadleir, Lynette G., King, Chontelle, Mountier, Emily, Caglayan, Hande S., Arslan, Mutluay, Yapici, Zuhal, Yis, Uluc, Solomonson, Matthew, Topaloglu, Pinar, Kara, Bulent, Turkdogan, Dilsad, Gundogdu-Eken, Asli, Bebek, Nerses, Ugur-Iseri, Sibel, Baykan, Betül, Salman, Baris, Haryanyan, Garen, Yücesan, Emrah, Lal, Dennis, Kesim, Yesim, Özkara, Çigdem, Poduri, Annapurna, Shiedley, Beth R., Shain, Catherine, Buono, Russell J., Ferraro, Thomas N., Sperling, Michael R., Lo, Warren, Privitera, Michael, Heinzen, Erin L., French, Jacqueline A., Schachter, Steven, Kuzniecky, Ruben I., Devinsky, Orrin, Hegde, Manu, Khankhanian, Pouya, Helbig, Katherine L., Ellis, Colin A., Spalletta, Gianfranco, Piras, Fabrizio, Dhindsa, Ryan S., Piras, Federica, Gili, Tommaso, Ciullo, Valentina, Reif, Andreas, McQuillin, Andrew, Bass, Nick, McIntosh, Andrew, Blackwood, Douglas, Johnstone, Mandy, Palotie, Aarno, Stanley, Kate E., Pato, Michele T., Pato, Carlos N., Bromet, Evelyn J., Carvalho, Celia Barreto, Achtyes, Eric D., Azevedo, Maria Helena, Kotov, Roman, Lehrer, Douglas S., Malaspina, Dolores, Marder, Stephen R., Cavalleri, Gianpiero L., Medeiros, Helena, Morley, Christopher P., Perkins, Diana O., Sobell, Janet L., Buckley, Peter F., Macciardi, Fabio, Rapaport, Mark H., Knowles, James A., Cohort, Genomic Psychiatry, Fanous, Ayman H., Hakonarson, Hakon, McCarroll, Steven A., Gupta, Namrata, Gabriel, Stacey B., Daly, Mark J., Lander, Eric S., Lowenstein, Daniel H., Goldstein, David B., Lerche, Holger, Berkovic, Samuel F., Neale, Benjamin M., Helbig, Ingo, Krause, Roland, May, Patrick, Weckhuysen, Sarah, Petrovski, Slavé, Kamalakaran, Sitharthan, Sisodiya, Sanjay M., Cossette, Patrick, Cotsapas, Chris, DeJonghe, Peter, Dixon-Salazar, Tracy, Guerrini, Renzo, Kwan, Patrick, Marson, Anthony G., Stewart, Randy, Depondt, Chantal, Dlugos, Dennis J., Scheffer, Ingrid E., Striano, Pasquale, Freyer, Catharine, McKenna, Kevin, Regan, Brigid M., Bellows, Susannah T., Leu, Costin, Bennett, Caitlin A., Johns, Esther M. C., Macdonald, Alexandra, Shilling, Hannah, Burgess, Rosemary, Weckhuysen, Dorien, Bahlo, Melanie, O'Brien, Terence J., Todaro, Marian, Stamberger, Hannah, Andrade, Danielle M., Sadoway, Tara R., Mo, Kelly, Krestel, Heinz, Gallati, Sabina, Papacostas, Savvas S., Kousiappa, Ioanna, Tanteles, George A., Šterbová, Katalin, Vlcková, Markéta, Sedlácková, Lucie, Laššuthová, Petra, Klein, Karl Martin, Rosenow, Felix, Reif, Philipp S., Knake, Susanne, Kunz, Wolfram S., Zsurka, Gábor, Elger, Christian E., Bauer, Jürgen, Rademacher, Michael, Feng, Yen-Chen Anne, Pendziwiat, Manuela, Muhle, Hiltrud, Rademacher, Annika, van Baalen, Andreas, von Spiczak, Sarah, Stephani, Ulrich, Afawi, Zaid, Korczyn, Amos D., Kanaan, Moien, Canavati, Christina, Howrigan, Daniel P., Müller-Schlüter, Karen, Kluger, Gerhard, Häusler, Martin, Blatt, Ilan, Lemke, Johannes R., Krey, Ilona, Weber, Yvonne G., Wolking, Stefan, Becker, Felicitas, DFG Research Unit FOR-2715 (Germany), FNR (Luxembourg), NHGRI (US), NHLBI (US), DAAD (Germany). [sponsor], and Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center]
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Exome sequencing ,Male ,Medicine (General) ,Neurology [D14] [Human health sciences] ,Gene-set ,Genome-wide association study ,Disease ,Biology ,Epileptogenesis ,General Biochemistry, Genetics and Molecular Biology ,Whole Exome Sequencing ,Epilepsy ,R5-920 ,medicine ,Missense mutation ,Humans ,Exome ,Genetic Predisposition to Disease ,Gene ,Genetic association ,Ultra-rare variant ,Genetics ,Neurologie [D14] [Sciences de la santé humaine] ,Burden analysis ,Genetic Variation ,General Medicine ,medicine.disease ,Ultra-rare variants ,Gene-sets ,Case-Control Studies ,Medicine ,epilepsy ,Epilepsy, Generalized ,Female ,Genetics & genetic processes [F10] [Life sciences] ,Epilepsies, Partial ,Human medicine ,Burden analysi ,Génétique & processus génétiques [F10] [Sciences du vivant] ,Case-Control Studie ,Research Paper ,Genome-Wide Association Study ,Human - Abstract
EBioMedicine 72, 103588 (2021). doi:10.1016/j.ebiom.2021.103588, Published by Elsevier, Amsterdam [u.a.]
- Published
- 2021
10. Genetic epilepsy with febrile seizures plus
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Samuel F. Berkovic, Andrew Bleasel, Hadassa Goldberg-Stern, Bronwyn E. Grinton, Sara Kivity, Leanne M. Dibbens, Elizabeth K. Ruzzo, John A. Damiano, Lata Vadlamudi, Zaid Afawi, Georgie C. Glubb, Jodie P. Malone, Rosemary Burgess, Padraic Grattan-Smith, Yue-Hua Zhang, Danya F. Vears, Katherine L. Helbig, Amos D. Korczyn, Ingrid E. Scheffer, Susannah T. Bellows, and Michael S. Hildebrand
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Adult ,Male ,0301 basic medicine ,Adolescent ,Seizures, Febrile ,Genetic epilepsy ,Young Adult ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,Childhood absence epilepsy ,medicine ,Humans ,Age of Onset ,Focal Epilepsies ,Generalized epilepsy ,Child ,business.industry ,Infant ,Genetic data ,Middle Aged ,medicine.disease ,Pedigree ,Phenotype ,030104 developmental biology ,Child, Preschool ,Immunology ,Epilepsy, Generalized ,Female ,Epilepsies, Partial ,Neurology (clinical) ,Age of onset ,business ,Generalized epilepsy with febrile seizures plus ,030217 neurology & neurosurgery - Abstract
Objective:Following our original description of generalized epilepsy with febrile seizures plus (GEFS+) in 1997, we analyze the phenotypic spectrum in 409 affected individuals in 60 families (31 new families) and expand the GEFS+ spectrum.Methods:We performed detailed electroclinical phenotyping on all available affected family members. Genetic analysis of known GEFS+ genes was carried out where possible. We compared our phenotypic and genetic data to those published in the literature over the last 19 years.Results:We identified new phenotypes within the GEFS+ spectrum: focal seizures without preceding febrile seizures (16/409 [4%]), classic genetic generalized epilepsies (22/409 [5%]), and afebrile generalized tonic-clonic seizures (9/409 [2%]). Febrile seizures remains the most frequent phenotype in GEFS+ (178/409 [44%]), followed by febrile seizures plus (111/409 [27%]). One third (50/163 [31%]) of GEFS+ families tested have a pathogenic variant in a known GEFS+ gene.Conclusion:As 37/409 (9%) affected individuals have focal epilepsies, we suggest that GEFS+ be renamed genetic epilepsy with febrile seizures plus rather than generalized epilepsy with febrile seizures plus. The phenotypic overlap between GEFS+ and the classic generalized epilepsies is considerably greater than first thought. The clinical and molecular data suggest that the 2 major groups of generalized epilepsies share genetic determinants.
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- 2017
11. Familial mesial temporal lobe epilepsy and the borderland of déjà vu
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Anne M. McIntosh, IE Scheffer, K. Meng Tan, Douglas E. Crompton, Frank J.E. Vajda, Samuel F. Berkovic, Mark R Newton, Susannah T. Bellows, Patrick Kwan, Tomas Kalincik, Terence J. O'Brien, and Piero Perucca
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0301 basic medicine ,Hippocampal sclerosis ,medicine.medical_specialty ,Pediatrics ,Case-control study ,medicine.disease ,Normal MRI ,nervous system diseases ,Temporal lobe ,03 medical and health sciences ,Epilepsy ,030104 developmental biology ,0302 clinical medicine ,Neurology ,Déjà vu ,medicine ,Neurology (clinical) ,Young adult ,Psychiatry ,Psychology ,030217 neurology & neurosurgery ,Mesial temporal lobe epilepsy - Abstract
Objective: The cause of mesial temporal lobe epilepsy (MTLE) is often unknown. We ascertained to what extent newly-diagnosed non-lesional MTLE actually represents familial MTLE (FMTLE). Methods: We identified all consecutive patients presenting to the Austin Heath First Seizure Clinic with MTLE and a normal 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 two epileptologists, blinded to relative or control status. Reviewers classified each subject as follows: epilepsy, specifying if MTLE; manifestations suspicious of epilepsy; or unaffected. Physiological deja 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 9/121 relatives vs 0/121 controls (p=0.008). All affected relatives had seizures with intense deja vu and accompanying features; 6 relatives had not been previously diagnosed. Deja vu experiences which were suspicious, but not diagnostic, of MTLE occurred in 6 additional relatives vs none of the controls (p=0.04). Physiological deja 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 non-lesional MTLE, and it is largely unrecognized without direct questioning of relatives. Relatives of patients with MTLE may experience deja vu phenomena which clinically lie in the ‘borderland' between epileptic seizures and physiological deja vu. This article is protected by copyright. All rights reserved.
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- 2017
12. Evaluation of GLUT1 variation in non-acquired focal epilepsy
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IE Scheffer, Alexander Peeraer, Michael S. Hildebrand, Samuel F. Berkovic, Saul A. Mullen, Susannah T. Bellows, and John A. Damiano
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Adult ,Male ,0301 basic medicine ,Microcephaly ,Movement disorders ,Adolescent ,DNA Mutational Analysis ,Biology ,medicine.disease_cause ,Severity of Illness Index ,Temporal lobe ,Cohort Studies ,Young Adult ,03 medical and health sciences ,symbols.namesake ,Epilepsy ,0302 clinical medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,Generalized epilepsy ,Aged ,Aged, 80 and over ,Sanger sequencing ,Genetics ,Glucose Transporter Type 1 ,Mutation ,Electroencephalography ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,030104 developmental biology ,Neurology ,Cohort ,symbols ,Female ,Epilepsies, Partial ,Neurology (clinical) ,medicine.symptom ,030217 neurology & neurosurgery - Abstract
Brain glucose transport is dependent on glucose transporter 1 (GLUT1), encoded by the solute carrier family 2 member 1 (SLC2A1) gene. Mutations in SLC2A1 cause GLUT1 deficiency which is characterized by a broad spectrum of neurological phenotypes including generalized epilepsy, motor disorders, developmental delay and microcephaly. Recent case reports suggest SLC2A1 mutations can contribute to non-acquired focal epilepsy (NAFE) but interrogation of a large patient cohort has not been reported. We studied 200 patients with NAFE (126 with temporal lobe epilepsy) comprising 104 females and 96 males with a mean age of onset of 18 years. Polymerase chain reaction (PCR) and Sanger sequencing was performed to detect variants in all 10 coding exons and splice site regions of the SLC2A1 gene. We did not detect any pathogenic mutations in SLC2A1 in this cohort. Our data suggests that the frequency of GLUT1 mutations in NAFE is low. Limitations of this study include the mean age of onset and cohort size. Future research should focus on subpopulations of focal epilepsy with lower age of seizure onset particularly with co-existent movement disorders in which GLUT1 mutations may play a more important role.
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- 2017
13. Sleeping sound with autism spectrum disorder (ASD): study protocol for an efficacy randomised controlled trial of a tailored brief behavioural sleep intervention for ASD
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Lidia Engel, Jane McGillivray, Susannah T. Bellows, Deborah Marks, Katrina Williams, Nicole Papadopoulos, Emma Sciberras, Nicole Joan Rinehart, Cathrine Mihalopoulos, Patricia Howlin, Matthew Fuller-Tyszkiewicz, and Harriet Hiscock
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Male ,Victoria ,Autism Spectrum Disorder ,ASD ,law.invention ,Treatment and control groups ,03 medical and health sciences ,0302 clinical medicine ,Quality of life (healthcare) ,Randomized controlled trial ,law ,Behavior Therapy ,Intervention (counseling) ,Sleep Initiation and Maintenance Disorders ,Protocol ,Medicine ,Humans ,030212 general & internal medicine ,Cognitive skill ,sleep ,Child ,Randomized Controlled Trials as Topic ,business.industry ,Cognition ,General Medicine ,medicine.disease ,Mental health ,3. Good health ,behavioural sleep intervention ,Evidence Based Practice ,Autism spectrum disorder ,Child, Preschool ,Quality of Life ,Female ,business ,030217 neurology & neurosurgery ,RCT ,Clinical psychology - Abstract
IntroductionSleep problems are a characteristic feature of children with autism spectrum disorder (ASD) with 40% to 80% of children experiencing sleep difficulties. Sleep problems have been found to have a pervasive impact on a child’s socio-emotional functioning, as well as on parents’ psychological functioning. The Sleeping Sound ASD project aims to evaluate the efficacy of a brief behavioural sleep intervention in reducing ASD children’s sleep problems in a fully powered randomised controlled trial (RCT). Intervention impact on child and family functioning is also assessed.Methods and analysisThe RCT aims to recruit 234 children with a diagnosis of ASD, aged 5–13 years, who experience moderate to severe sleep problems. Participants are recruited from paediatrician clinics in Victoria, Australia, and via social media. Families interested in the study are screened for eligibility via phone, and then asked to complete a baseline survey online, assessing child sleep problems, and child and family functioning. Participants are then randomised to the intervention group or treatment as usual comparator group. Families in the intervention group attend two face-to-face sessions and a follow-up phone call with a trained clinician, where families are provided with individually tailored behavioural sleep strategies to help manage the child’s sleep problems. Teacher reports of sleep, behavioural and social functioning are collected, and cognitive ability assessed to provide measures blind to treatment group. The primary outcome is children’s sleep problems as measured by the Children’s Sleep Habits Questionnaire at 3 months post-randomisation. Secondary outcomes include parent and child quality of life; child social, emotional, behavioural and cognitive functioning; and parenting stress and parent mental health. Cost-effectiveness of the intervention is also evaluated.Ethics and disseminationFindings from this study will be published in peer-reviewed journals and disseminated at national and international conferences, local networks and online.Trial registration numberISRCTN14077107 (ISRCTN registry dated on 3 March 2017).
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- 2019
14. Epilepsy in families: Age at onset is a familial trait, independent of syndrome
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Samuel F. Berkovic, Michael P. Epstein, Colin A Ellis, Leonid Churilov, Susannah T. Bellows, Ruth Ottman, and Sharon X. Xie
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Male ,0301 basic medicine ,Adolescent ,Article ,Young Adult ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,Febrile seizure ,Humans ,Medicine ,Family ,Age of Onset ,Young adult ,Child ,business.industry ,Proportional hazards model ,Infant ,Syndrome ,Heritability ,medicine.disease ,Pedigree ,030104 developmental biology ,Neurology ,Child, Preschool ,Anticipation (genetics) ,Epilepsy syndromes ,Linear Models ,Female ,Neurology (clinical) ,Age of onset ,business ,030217 neurology & neurosurgery ,Demography - Abstract
OBJECTIVE: We tested 2 hypotheses regarding age at onset within familial epilepsies: (1) family members with epilepsy tend to have similar ages at onset, independent of epilepsy syndrome; and (2) age at onset is younger in successive generations after controlling for sampling bias. METHODS: We analyzed clinical data collected by the Epi4K Consortium (303 multiplex families, 1,120 individuals). To test hypothesis 1, we used both linear mixed models commonly used for heritability analysis and Cox regression models with frailty terms to assess clustering of onset within families after controlling for other predictors. To test hypothesis 2, we used mixed effects models, pairwise analyses, and survival analysis to address sampling-related bias that may mimic anticipation. RESULTS: Regarding hypothesis 1, age at seizure onset was significantly heritable (intraclass correlation coefficient = 0.17, p < 0.001) after adjusting for epilepsy type, sex, site, history of febrile seizure, and age at last observation. This finding remained significant after adjusting for epilepsy syndromes, and was robust across statistical methods in all families and in generalized families. Regarding hypothesis 2, the mean age at onset decreased in successive generations (p < 0.001). After adjusting for age at last observation, this effect was not significant in mixed effects models (p = 0.14), but remained significant in pairwise (p = 0.0003) and survival analyses (p = 0.02). INTERPRETATION: Age at seizure onset is an independent familial trait, and may have genetic determinants distinct from the determinants of particular epilepsy syndromes. Younger onsets in successive generations can be explained in part by sampling bias, but the presence of genetic anticipation cannot be excluded. ANN NEUROL 2019.
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- 2019
15. No evidence for a <scp>BRD</scp> 2 promoter hypermethylation in blood leukocytes of Europeans with juvenile myoclonic epilepsy
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Amedeo Bianchi, Ann-Kathrin Ruppert, Saul A. Mullen, Hande Caglayan, Wolfram S. Kunz, Herbert Schulz, Despina Tsortouktzidis, Ingrid E. Scheffer, Holger Lerche, Per Hoffmann, Yvonne G. Weber, Pasquale Striano, Francesca Madia, Rikke S. Møller, Felicitas Becker, Michele Iacomino, Carlo Minetti, Ganna Balagura, Carla Marini, Maria Stella Vari, Susannah T. Bellows, Samuel F. Berkovic, Claudia Kapser, Renzo Guerrini, Thomas Sander, Federico Zara, Karen Oliver, Ugur Ozbek, Albert J. Becker, Christoph J. Schankin, Sara Schramm, and Acibadem University Dspace
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0301 basic medicine ,Medizin ,Single-nucleotide polymorphism ,Biology ,association analysis ,BRD2 ,DNA methylation ,genetic generalized epilepsy ,juvenile myoclonic epilepsy ,neurology ,neurology (clinical) ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Epigenetics ,Allele ,610 Medicine & health ,Genetic association ,Genetics ,Methylation ,medicine.disease ,030104 developmental biology ,Neurology ,Myoclonic epilepsy ,Neurology (clinical) ,Juvenile myoclonic epilepsy ,030217 neurology & neurosurgery - Abstract
Juvenile myoclonic epilepsy (JME) is a common syndrome of genetic generalized epilepsies (GGEs). Linkage and association studies suggest that the gene encoding the bromodomain-containing protein 2 (BRD2) may increase risk of JME. The present methylation and association study followed up a recent report highlighting that the BRD2 promoter CpG island (CpG76) is differentially hypermethylated in lymphoblastoid cells from Caucasian patients with JME compared to patients with other GGE subtypes and unaffected relatives. In contrast, we found a uniform low average percentage of methylation (
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- 2019
16. Ultra-Rare Genetic Variation in the Epilepsies: A Whole-Exome Sequencing Study of 17,606 Individuals
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Yen-Chen Anne Feng, Daniel P. Howrigan, Liam E. Abbott, Katherine Tashman, Felecia Cerrato, Tarjinder Singh, Henrike Heyne, Andrea Byrnes, Claire Churchhouse, Nick Watts, Matthew Solomonson, Dennis Lal, Erin L. Heinzen, Ryan S. Dhindsa, Kate E. Stanley, Gianpiero L. Cavalleri, Hakon Hakonarson, Ingo Helbig, Roland Krause, Patrick May, Sarah Weckhuysen, Slavé Petrovski, Sitharthan Kamalakaran, Sanjay M. Sisodiya, Patrick Cossette, Chris Cotsapas, Peter De Jonghe, Tracy Dixon-Salazar, Renzo Guerrini, Patrick Kwan, Anthony G. Marson, Randy Stewart, Chantal Depondt, Dennis J. Dlugos, Ingrid E. Scheffer, Pasquale Striano, Catharine Freyer, Kevin McKenna, Brigid M. Regan, Susannah T. Bellows, Costin Leu, Caitlin A. Bennett, Esther M.C. Johns, Alexandra Macdonald, Hannah Shilling, Rosemary Burgess, Dorien Weckhuysen, Melanie Bahlo, Terence J. O’Brien, Marian Todaro, Hannah Stamberger, Danielle M. Andrade, Tara R. Sadoway, Kelly Mo, Heinz Krestel, Sabina Gallati, Savvas S. Papacostas, Ioanna Kousiappa, George A. Tanteles, Katalin Štěrbová, Markéta Vlčková, Lucie Sedláčková, Petra Laššuthová, Karl Martin Klein, Felix Rosenow, Philipp S. Reif, Susanne Knake, Wolfram S. Kunz, Gábor Zsurka, Christian E. Elger, Jürgen Bauer, Michael Rademacher, Manuela Pendziwiat, Hiltrud Muhle, Annika Rademacher, Andreas van Baalen, Sarah von Spiczak, Ulrich Stephani, Zaid Afawi, Amos D. Korczyn, Moien Kanaan, Christina Canavati, Gerhard Kurlemann, Karen Müller-Schlüter, Gerhard Kluger, Martin Häusler, Ilan Blatt, Johannes R. Lemke, Ilona Krey, Yvonne G. Weber, Stefan Wolking, Felicitas Becker, Christian Hengsbach, Sarah Rau, Ana F. Maisch, Bernhard J. Steinhoff, Andreas Schulze-Bonhage, Susanne Schubert-Bast, Herbert Schreiber, Ingo Borggräfe, Christoph J. Schankin, Thomas Mayer, Rudolf Korinthenberg, Knut Brockmann, Dieter Dennig, Rene Madeleyn, Reetta Kälviäinen, Pia Auvinen, Anni Saarela, Tarja Linnankivi, Anna-Elina Lehesjoki, Mark I. Rees, Seo-Kyung Chung, William O. Pickrell, Robert Powell, Natascha Schneider, Simona Balestrini, Sara Zagaglia, Vera Braatz, Michael R. Johnson, Pauls Auce, Graeme J. Sills, Larry W. Baum, Pak C. Sham, Stacey S. Cherny, Colin H.T. Lui, Nina Barišić, Norman Delanty, Colin P. Doherty, Arif Shukralla, Mark McCormack, Hany El-Naggar, Laura Canafoglia, Silvana Franceschetti, Barbara Castellotti, Tiziana Granata, Federico Zara, Michele Iacomino, Francesca Madia, Maria Stella Vari, Maria Margherita Mancardi, Vincenzo Salpietro, Francesca Bisulli, Paolo Tinuper, Laura Licchetta, Tommaso Pippucci, Carlotta Stipa, Raffaella Minardi, Antonio Gambardella, Angelo Labate, Grazia Annesi, Lorella Manna, Monica Gagliardi, Elena Parrini, Davide Mei, Annalisa Vetro, Claudia Bianchini, Martino Montomoli, Viola Doccini, Carla Marini, Toshimitsu Suzuki, Yushi Inoue, Kazuhiro Yamakawa, Birute Tumiene, Lynette G. Sadleir, Chontelle King, Emily Mountier, S. Hande Caglayan, Mutluay Arslan, Zuhal Yapıcı, Uluc Yis, Pınar Topaloglu, Bulent Kara, Dilsad Turkdogan, Aslı Gundogdu-Eken, Nerses Bebek, Sibel Uğur-İşeri, Betül Baykan, Barış Salman, Garen Haryanyan, Emrah Yücesan, Yeşim Kesim, Çiğdem Özkara, Annapurna Poduri, Beth R. Shiedley, Catherine Shain, Russell J. Buono, Thomas N. Ferraro, Michael R. Sperling, Warren Lo, Michael Privitera, Jacqueline A. French, Steven Schachter, Ruben I. Kuzniecky, Orrin Devinsky, Manu Hegde, Pouya Khankhanian, Katherine L. Helbig, Colin A. Ellis, Gianfranco Spalletta, Fabrizio Piras, Federica Piras, Tommaso Gili, Valentina Ciullo, Andreas Reif, Andrew McQuillin, Nick Bass, Andrew McIntosh, Douglas Blackwood, Mandy Johnstone, Aarno Palotie, Michele T. Pato, Carlos N. Pato, Evelyn J. Bromet, Celia Barreto Carvalho, Eric D. Achtyes, Maria Helena Azevedo, Roman Kotov, Douglas S. Lehrer, Dolores Malaspina, Stephen R. Marder, Helena Medeiros, Christopher P. Morley, Diana O. Perkins, Janet L. Sobell, Peter F. Buckley, Fabio Macciardi, Mark H. Rapaport, James A. Knowles, Ayman H. Fanous, Steven A. McCarroll, Namrata Gupta, Stacey B. Gabriel, Mark J. Daly, Eric S. Lander, Daniel H. Lowenstein, David B. Goldstein, Holger Lerche, Samuel F. Berkovic, Benjamin M. Neale, Wellcome Trust, Department of Health, Institute of Neurology, UCL, Imperial College Healthcare NHS Trust- BRC Funding, Commission of the European Communities, Medical Research Council (MRC), Feng Y.-C.A., Howrigan D.P., Abbott L.E., Tashman K., Cerrato F., Singh T., Heyne H., Byrnes A., Churchhouse C., Watts N., Solomonson M., Lal D., Heinzen E.L., Dhindsa R.S., Stanley K.E., Cavalleri G.L., Hakonarson H., Helbig I., Krause R., May P., Weckhuysen S., Petrovski S., Kamalakaran S., Sisodiya S.M., Cossette P., Cotsapas C., De Jonghe P., Dixon-Salazar T., Guerrini R., Kwan P., Marson A.G., Stewart R., Depondt C., Dlugos D.J., Scheffer I.E., Striano P., Freyer C., McKenna K., Regan B.M., Bellows S.T., Leu C., 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., 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., Tumiene B., 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., Poduri A., Shiedley B.R., Shain C., 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., Reif A., McQuillin A., Bass N., McIntosh A., Blackwood D., Johnstone M., Palotie A., Pato M.T., Pato C.N., Bromet E.J., Carvalho C.B., Achtyes E.D., Azevedo M.H., Kotov R., Lehrer D.S., Malaspina D., Marder S.R., Medeiros H., Morley C.P., Perkins D.O., Sobell J.L., Buckley P.F., Macciardi F., Rapaport M.H., Knowles J.A., Fanous A.H., McCarroll S.A., Gupta N., Gabriel S.B., Daly M.J., Lander E.S., Lowenstein D.H., Goldstein D.B., Lerche H., Berkovic S.F., Neale B.M., Epi25 Collaborative, YÜCESAN, EMRAH, Institute for Molecular Medicine Finland, Children's Hospital, HUS Children and Adolescents, Department of Medical and Clinical Genetics, University Management, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, and Genomics of Neurological and Neuropsychiatric Disorders
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s.berkovic@unimelb.edu.au [Epi25 Collaborative. Electronic address] ,0301 basic medicine ,GAMMA-2-SUBUNIT ,burden analysi ,DNA Mutational Analysis ,PROTEIN ,Neurodegenerative ,VARIANTS ,SUSCEPTIBILITY ,Medical and Health Sciences ,Epilepsy ,0302 clinical medicine ,2.1 Biological and endogenous factors ,EPIDEMIOLOGY ,Missense mutation ,Exome ,Aetiology ,Genetics (clinical) ,Exome sequencing ,11 Medical and Health Sciences ,seizures ,GABRG2 ,Genetics ,Genetics & Heredity ,0303 health sciences ,biology ,COMMON EPILEPSIES ,1184 Genetics, developmental biology, physiology ,sequencing ,Biological Sciences ,Epi25 Collaborative ,Phenotype ,GENOME ,epileptic encephalopathy ,burden analysis ,Neurological ,Biotechnology ,Genetic Markers ,seizure ,EEF1A2 ,Burden analysis ,epilepsy ,exome ,Article ,03 medical and health sciences ,Clinical Research ,Exome Sequencing ,Genetic variation ,medicine ,Humans ,Genetic Predisposition to Disease ,Gene ,EPILEPTIC SEIZURES ,METAANALYSIS ,030304 developmental biology ,Human Genome ,Neurosciences ,Genetic Variation ,06 Biological Sciences ,medicine.disease ,Brain Disorders ,030104 developmental biology ,Genetic marker ,DE-NOVO MUTATIONS ,Case-Control Studies ,biology.protein ,3111 Biomedicine ,Human medicine ,030217 neurology & neurosurgery - Abstract
Sequencing-based studies have identified novel risk genes for rare, severe epilepsies and revealed a role of rare deleterious variation in common epilepsies. To identify the shared and distinct ultra-rare genetic risk factors for rare and common epilepsies, we performed a whole-exome sequencing (WES) analysis of 9,170 epilepsy-affected individuals and 8,364 controls of European ancestry. We focused on three phenotypic groups; the rare but severe developmental and epileptic encephalopathies (DEE), and the commoner phenotypes of genetic generalized epilepsy (GGE) and non-acquired focal epilepsy (NAFE). We observed that compared to controls, individuals with any type of epilepsy carried an excess of ultra-rare, deleterious variants in constrained genes and in genes previously associated with epilepsy, with the strongest enrichment seen in DEE and the least in NAFE. Moreover, we found that inhibitory GABAA receptor genes were enriched for missense variants across all three classes of epilepsy, while no enrichment was seen in excitatory receptor genes. The larger gene groups for the GABAergic pathway or cation channels also showed a significant mutational burden in DEE and GGE. Although no single gene surpassed exome-wide significance among individuals with GGE or NAFE, highly constrained genes and genes encoding ion channels were among the top associations, including CACNA1G, EEF1A2, and GABRG2 for GGE and LGI1, TRIM3, and GABRG2 for NAFE. Our study confirms a convergence in the genetics of common and rare epilepsies associated with ultra-rare coding variation and highlights a ubiquitous role for GABAergic inhibition in epilepsy etiology in the largest epilepsy WES study to date.
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- 2019
17. Evaluation of multiple putative risk alleles within the 15q13.3 region for genetic generalized epilepsy
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Benjamin W. Darbro, Michael S. Hildebrand, Leanne M. Dibbens, Heather C Mefford, Susannah T. Bellows, Samuel F. Berkovic, Saul A. Mullen, Ingrid E. Scheffer, Todor Arsov, Kate M. Lawrence, John A. Damiano, Heather J. Major, Hans Henrik M. Dahl, Damiano, John A, Mullen, Saul A, Hildebrand, Michael S, Bellows, Susannah T, Lawrence, Kate M, Arsov, Todor, Dibbens, Leanne, Major, Heather, Dahl, Hans-Henrik M, Mefford, Heather C, Darbro, Benjamin W, Scheffer, Ingrid E, and Berkovic, Samuel F
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Male ,Proband ,medicine.medical_specialty ,DNA Copy Number Variations ,alpha7 Nicotinic Acetylcholine Receptor ,Epilepsy ,symbols.namesake ,Gene Frequency ,Molecular genetics ,Genetics ,medicine ,Humans ,Missense mutation ,Genetic Predisposition to Disease ,Copy-number variation ,Allele ,Alleles ,Sanger sequencing ,Chromosomes, Human, Pair 15 ,Polymorphism, Genetic ,biology ,CHRNA7 ,Complex traits ,medicine.disease ,Pedigree ,Epilepsy and seizures ,Neurology ,Genetic Loci ,biology.protein ,symbols ,Epilepsy, Generalized ,Female ,Neurology (clinical) - Abstract
The chromosome 15q13.3 region has been implicated in epilepsy, intellectual disability and neuropsychiatric disorders, especially schizophrenia. Deficiency of the acetylcholine receptor gene CHRNA7 and the partial duplication, CHRFAM7A, may contribute to these phenotypes and we sought to comprehensively analyze these genes in genetic generalized epilepsy. We analyzed using DHPLC, Sanger sequencing and long range PCR, 174 probands with genetic generalized epilepsy with or without intellectual disability or psychosis, including 8 with the recurrent 15q13.3 microdeletion. We searched CHRNA7 and CHRFAM7A for single sequence variants, small copy number variants, and the common 2-bp deletion in CHRFAM7A. We identified two novel and one reported missense variants. The common 2-bp deletion was not enriched in patients compared to controls. Our data suggest that missense mutations in CHRNA7 contribute to complex inheritance in genetic generalized epilepsy in a similar fashion to the 15q13.3 microdeletion. They do not support a pathogenic role for the common 2-bp CHRFAM7A deletion. Refereed/Peer-reviewed
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- 2015
18. Familial mesial temporal lobe epilepsy and the borderland of déjà vu
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Piero, Perucca, Douglas E, Crompton, Susannah T, Bellows, Anne M, McIntosh, Tomas, Kalincik, Mark R, Newton, Frank J E, Vajda, Ingrid E, Scheffer, Patrick, Kwan, Terence J, O'Brien, K Meng, Tan, and Samuel F, Berkovic
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Adult ,Family Health ,Male ,Adolescent ,Deja Vu ,Middle Aged ,Magnetic Resonance Imaging ,Young Adult ,Epilepsy, Temporal Lobe ,Case-Control Studies ,Humans ,Female ,Child ,Aged - Abstract
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).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.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%).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.
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- 2017
19. Ultra-rare genetic variation in common epilepsies: a case-control sequencing study
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Andrew S Allen, Susannah T Bellows, Samuel F Berkovic, Joshua Bridgers, Rosemary Burgess, Gianpiero Cavalleri, Seo-Kyung Chung, Patrick Cossette, Norman Delanty, Dennis Dlugos, Michael P Epstein, Catharine Freyer, David B Goldstein, Erin L Heinzen, Michael S Hildebrand, Michael R Johnson, Ruben Kuzniecky, Daniel H Lowenstein, Anthony G Marson, Richard Mayeux, Caroline Mebane, Heather C Mefford, Terence J O'Brien, Ruth Ottman, Steven Petrou, Slavgé Petrovski, William O Pickrell, Annapurna Poduri, Rodney A Radtke, Mark I Rees, Brigid M Regan, Zhong Ren, Ingrid E Scheffer, Graeme J Sills, Rhys H Thomas, Quanli Wang, Bassel Abou-Khalil, Brian K Alldredge, Dina Amrom, Eva Andermann, Frederick Andermann, Jocelyn F. Bautista, Judith Bluvstein, Alex Boro, Gregory D Cascino, Damian Consalvo, Patricia Crumrine, Orrin Devinsky, Miguel Fiol, Nathan B Fountain, Jacqueline French, Daniel Friedman, Eric B Geller, Tracy Glauser, Simon Glynn, Kevin Haas, Sheryl R Haut, Jean Hayward, Sandra L Helmers, Sucheta Joshi, Andres Kanner, Heidi E Kirsch, Robert C Knowlton, Eric H Kossoff, Rachel Kuperman, Paul V Motika, Edward J Novotny, Juliann M Paolicchi, Jack M Parent, Kristen Park, Lynette G Sadleir, Renée A. Shellhaas, Elliott H Sherr, Jerry J. Shih, Shlomo Shinnar, Rani K Singh, Joseph Sirven, Michael C Smith, Joseph Sullivan, Liu Lin Thio, Anu Venkat, Eileen P.G Vining, Gretchen K Von Allmen, Judith L Weisenberg, Peter Widdess-Walsh, Melodie R Winawer, and Imperial College Healthcare NHS Trust- BRC Funding
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0301 basic medicine ,medicine.medical_specialty ,Population ,Disease ,Bioinformatics ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,Epilepsy Phenome/Genome Project ,Genetic variation ,medicine ,Humans ,Exome ,Genetic Predisposition to Disease ,education ,Psychiatry ,education.field_of_study ,Neurology & Neurosurgery ,business.industry ,Genetic Variation ,1103 Clinical Sciences ,Sequence Analysis, DNA ,medicine.disease ,Comorbidity ,R1 ,030104 developmental biology ,Case-Control Studies ,Epilepsy syndromes ,Epilepsy, Generalized ,Epilepsies, Partial ,Neurology (clinical) ,1109 Neurosciences ,business ,030217 neurology & neurosurgery - Abstract
Summary Background Despite progress in understanding the genetics of rare epilepsies, the more common epilepsies have proven less amenable to traditional gene-discovery analyses. We aimed to assess the contribution of ultra-rare genetic variation to common epilepsies. Methods We did a case-control sequencing study with exome sequence data from unrelated individuals clinically evaluated for one of the two most common epilepsy syndromes: familial genetic generalised epilepsy, or familial or sporadic non-acquired focal epilepsy. Individuals of any age were recruited between Nov 26, 2007, and Aug 2, 2013, through the multicentre Epilepsy Phenome/Genome Project and Epi4K collaborations, and samples were sequenced at the Institute for Genomic Medicine (New York, USA) between Feb 6, 2013, and Aug 18, 2015. To identify epilepsy risk signals, we tested all protein-coding genes for an excess of ultra-rare genetic variation among the cases, compared with control samples with no known epilepsy or epilepsy comorbidity sequenced through unrelated studies. Findings We separately compared the sequence data from 640 individuals with familial genetic generalised epilepsy and 525 individuals with familial non-acquired focal epilepsy to the same group of 3877 controls, and found significantly higher rates of ultra-rare deleterious variation in genes established as causative for dominant epilepsy disorders (familial genetic generalised epilepsy: odd ratio [OR] 2·3, 95% CI 1·7–3·2, p=9·1 × 10 −8 ; familial non-acquired focal epilepsy 3·6, 2·7–4·9, p=1·1 × 10 −17 ). Comparison of an additional cohort of 662 individuals with sporadic non-acquired focal epilepsy to controls did not identify study-wide significant signals. For the individuals with familial non-acquired focal epilepsy, we found that five known epilepsy genes ranked as the top five genes enriched for ultra-rare deleterious variation. After accounting for the control carrier rate, we estimate that these five genes contribute to the risk of epilepsy in approximately 8% of individuals with familial non-acquired focal epilepsy. Our analyses showed that no individual gene was significantly associated with familial genetic generalised epilepsy; however, known epilepsy genes had lower p values relative to the rest of the protein-coding genes (p=5·8 × 10 −8 ) that were lower than expected from a random sampling of genes. Interpretation We identified excess ultra-rare variation in known epilepsy genes, which establishes a clear connection between the genetics of common and rare, severe epilepsies, and shows that the variants responsible for epilepsy risk are exceptionally rare in the general population. Our results suggest that the emerging paradigm of targeting of treatments to the genetic cause in rare devastating epilepsies might also extend to a proportion of common epilepsies. These findings might allow clinicians to broadly explain the cause of these syndromes to patients, and lay the foundation for possible precision treatments in the future. Funding National Institute of Neurological Disorders and Stroke (NINDS), and Epilepsy Research UK.
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- 2017
20. Phenotypic analysis of 303 multiplex families with common epilepsies
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Eileen P.G. Vining, Patrick Cossette, Mike Smith, P. E. M. Smith, Zaid Afawi, G. D. Cascino, Jocelyn F. Bautista, EJ Cops, Robert C. Knowlton, Tracy A. Glauser, Anu Venkat, Peter Widdess-Walsh, Sara Kivity, Mark I. Rees, Kevin McKenna, Amos D. Korczyn, Douglas E. Crompton, Saul A. Mullen, Heidi E. Kirsch, Nathan B. Fountain, Sheryl R. Haut, Slavé Petrovski, Andrew S. Allen, Sarah I. Garry, Anthony G Marson, Bassel Abou-Khalil, Rhys H. Thomas, Jerry J. Shih, Michael P. Epstein, Eric H. Kossoff, Winawer, Liu Lin Thio, Daniel H. Lowenstein, Dennis J. Dlugos, Rosemary Burgess, Eric B. Geller, Micheline Gravel, Jack M. Parent, Simon Glynn, Norman Delanty, Rebecca Loeb, Terence J. O'Brien, Ingrid E. Scheffer, Joseph I Sirven, William O. Pickrell, Judith L.Z. Weisenberg, Mark McCormack, Erin L. Heinzen, Judith Bluvstein, David Goldstein, Hadassa Goldberg-Stern, Sarah Paterson, Rinki Singh, Sabrina Cristofaro, Ruth Ottman, Susannah T. Bellows, R. Kuzniecky, Paul V. Motika, Heather C Mefford, Catharine Freyer, Annapurna Poduri, Juliann M. Paolicchi, Orrin Devinsky, Kevin Haas, Samuel F. Berkovic, Von, Allmen, G, and Lynette G. Sadleir
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0301 basic medicine ,Male ,Adolescent ,Idiopathic generalized epilepsy ,03 medical and health sciences ,Epilepsy ,Young Adult ,0302 clinical medicine ,Sex Factors ,medicine ,Humans ,Generalized epilepsy ,Age of Onset ,Child ,Genetics ,Family Health ,business.industry ,Family aggregation ,Original Articles ,medicine.disease ,Pedigree ,Rolandic epilepsy ,030104 developmental biology ,Phenotype ,Child, Preschool ,Epilepsy syndromes ,Epilepsy, Generalized ,Female ,Neurology (clinical) ,Juvenile myoclonic epilepsy ,Age of onset ,business ,030217 neurology & neurosurgery - Abstract
Gene identification in epilepsy has mainly been limited to large families segregating genes of major effect and de novo mutations in epileptic encephalopathies. Many families that present with common non-acquired focal epilepsies and genetic generalized epilepsies remain unexplained. We assembled a cohort of 'genetically enriched' common epilepsies by collecting and phenotyping families containing multiple individuals with unprovoked seizures. We aimed to determine if specific clinical epilepsy features aggregate within families, and whether this segregation of phenotypes may constitute distinct 'familial syndromes' that could inform genomic analyses. Families with three or more individuals with unprovoked seizures were studied across multiple international centres. Affected individuals were phenotyped and classified according to specific electroclinical syndromes. Families were categorized based on syndromic groupings of affected family members, examined for pedigree structure and phenotypic patterns and, where possible, assigned specific familial epilepsy syndromes. A total of 303 families were assembled and analysed, comprising 1120 affected phenotyped individuals. Of the 303 families, 117 exclusively segregated generalized epilepsy, 62 focal epilepsy, and 22 were classified as genetic epilepsy with febrile seizures plus. Over one-third (102 families) were observed to have mixed epilepsy phenotypes: 78 had both generalized and focal epilepsy features within the same individual (n = 39), or within first or second degree relatives (n = 39). Among the genetic generalized epilepsy families, absence epilepsies were found to cluster within families independently of juvenile myoclonic epilepsy, and significantly more females were affected than males. Of the 62 familial focal epilepsy families, two previously undescribed familial focal syndrome patterns were evident: 15 families had posterior quadrant epilepsies, including seven with occipito-temporal localization and seven with temporo-parietal foci, and four families displayed familial focal epilepsy of childhood with multiple affected siblings that was suggestive of recessive inheritance. The findings suggest (i) specific patterns of syndromic familial aggregation occur, including newly recognized forms of familial focal epilepsy; (ii) although syndrome-specificity usually occurs in multiplex families, the one-third of families with features of both focal and generalized epilepsy is suggestive of shared genetic determinants; and (iii) patterns of features observed across families including pedigree structure, sex, and age of onset may hold clues for future gene identification. Such detailed phenotypic information will be invaluable in the conditioning and interpretation of forthcoming sequencing data to understand the genetic architecture and inter-relationships of the common epilepsy syndromes.
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- 2017
21. Atypical multifocal Dravet syndrome lacks generalized seizures and may show later cognitive decline
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Deepak Gill, Kent Kelley, Ingrid E. Scheffer, Xenia Iona, Susannah T. Bellows, J. Helen Cross, Leanne M. Dibbens, Young Ok Kim, Jacinta M McMahon, Samuel F. Berkovic, John A. Damiano, Kim, Young Ok, Bellows, Susannah, McMahon, Jacinta M, Iona, Xenia, Damiano, John, Dibbens, Leanne, Kelley, Kent, Gill, Deepak, Cross, J Helen, Berkovic, Samuel F, and Scheffer, Ingrid E
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Adult ,Pediatrics ,medicine.medical_specialty ,Adolescent ,DNA Copy Number Variations ,Molecular Sequence Data ,Clinical Neurology ,Epilepsies, Myoclonic ,Status epilepticus ,Electroencephalography ,Child Development ,Developmental Neuroscience ,Dravet syndrome ,Seizures ,Intellectual Disability ,Convulsion ,Intellectual disability ,medicine ,Humans ,Age of Onset ,Cognitive decline ,Child ,medicine.diagnostic_test ,Seizure types ,business.industry ,medicine.disease ,NAV1.1 Voltage-Gated Sodium Channel ,Anesthesia ,Mutation ,Pediatrics, Perinatology and Child Health ,Female ,Neurology (clinical) ,medicine.symptom ,Age of onset ,Cognition Disorders ,business - Abstract
Aim To show that atypical multifocal Dravet syndrome is a recognizable, electroclinical syndrome associated with sodium channel gene (SCN1A) mutations that readily escapes diagnosis owing to later cognitive decline and tonic seizures. Method Eight patients underwent electroclinical characterization. SCN1A was sequenced and copy number variations sought by multiplex ligation-dependent probe amplification. Results All patients were female (age range at assessment 5–26y) with median seizure onset at 6.5 months (range 4–19mo). The initial seizure was brief in seven and status epilepticus only occurred in one; three were febrile. Focal seizures occurred in four patients and bilateral convulsion in the other four. All patients developed multiple focal seizure types and bilateral convulsions, with seizure clusters in six. The most common focal seizure semiology (six out of eight) comprised unilateral clonic activity. Five also had focal or asymmetric tonic seizures. Rare or transient myoclonic seizures occurred in six individuals, often triggered by specific antiepileptic drugs. Developmental slowing occurred in all: six between 3 years and 8 years, and two around 1 year 6 months. Cognitive outcome varied from severe to mild intellectual disability. Multifocal epileptiform discharges were seen on electroencephalography. Seven out of eight patients had SCN1A mutations. Interpretation Atypical, multifocal Dravet syndrome with SCN1A mutations may not be recognized because of later cognitive decline and frequent tonic seizures.
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- 2013
22. 2013 Emerging Science Abstracts
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Eva Andermann, Patrick Cossette, Laura Licchetta, Paul Q. Thomas, Francesca Bisulli, Denis Crimmins, Satyan Chintawar, Ingrid E. Scheffer, Claudia M Weller, Terence J. O'Brien, Jozef Gecz, Alison Gardner, Rosa Guerrero-López, Boukje de Vries, Xenia Iona, Douglas E. Crompton, James P. Hughes, Massimo Pandolfo, Sarah Kivity, José M. Serratosa, François Dubeau, Susannah T. Bellows, Oebele F. Brouwer, Leanne M. Dibbens, Brigid M. Regan, Samuel F. Berkovic, Arn M. J. M. van den Maagdenberg, Mark A. Corbett, Petra M.C. Callenbach, John C. Mulley, Karl Martin Klein, Sarah E. Heron, Simona Donatello, Bree L. Hodgson, and Frederick Andermann
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medicine.medical_specialty ,Neurology ,nutritional and metabolic diseases ,Biology ,medicine.disease ,Bioinformatics ,nervous system diseases ,Progressive supranuclear palsy ,Clinical trial ,C9orf72 ,Internal medicine ,mental disorders ,Cohort ,medicine ,Biomarker (medicine) ,Neurology (clinical) ,Amyotrophic lateral sclerosis ,Frontotemporal dementia - Abstract
The Emerging Science abstracts were presented at the 2013 AAN Annual Meeting. Abstracts qualify for Emerging Science presentations by having key aspects of research conducted after the October 15th abstract submission deadline and must be new and of sufficient scientific importance to warrant expedited presentation and publication. The Science Committee is committed to presenting the best neuroscientific research at the Annual Meeting; 12 abstracts were accepted for dual presentation and 9 were accepted as poster presentations. William Hu, MD, PhD; Kelly Watts, MS; Murray Grossman, MD, FAAN; Jonathan Glass; James Lah, MD; John Trojanowski, MD, PhD; Allan Levey, MD, PhD OBJECTIVE: To validate five previously identified CSF biomarkers for FTLD-TDP, and to report a novel, robust, stand-alone CSF biomarker for FTLD-TDP. BACKGROUND: There is currently no reliable way to predict the underlying FTLD pathology while the patients are still living, and an ante-mortem biomarker for one of the main FTLD subtypes (FTLD-TDP or FTLD-Tau) can significantly enhance the pathology-based FTLD diagnosis and clinical trials for FTLD-TDP and FTLD-Tau. DESIGN/METHODS: Two independent cohorts of patients with frontotemporal dementia (FTD) were recruited independently from Emory University (Atlanta, GA) and University of Pennsylvania (Penn; Philadelphia, PA) to undergo CSF analysis. These include patients with high likelihood FTLD-TDP (FTD patients with amyotrophic lateral sclerosis or FTD patients with mutations in PGRN or C9ORF72) and patients with high likelihood FTLD-Tau (FTD patients with progressive supranuclear palsy or FTD patients with mutations in MAPT). Levels of five CSF previously identified proteins were measured, along with levels of total Tau (t-Tau) and Tau phosphorylated at threonine 181 (p-Tau181). RESULTS : 29 Emory patients and 40 Penn patients participated in the study, including 43 patients with high likelihood FTLD-TDP and 26 patients with high likelihood FTLD-Tau. Using the Emory cohort, we validated the group level differences in …
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- 2013
23. Evaluation of non-coding variation in GLUT1 deficiency
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Michael S. Hildebrand, Samuel F. Berkovic, Melanie Bahlo, John A. Damiano, Jia Wei Audrey Lee, Susannah T. Bellows, Ingrid E. Scheffer, Saul A. Mullen, and Yu Chi Liu
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0301 basic medicine ,Proband ,Adult ,Male ,CSF glucose ,Monosaccharide Transport Proteins ,03 medical and health sciences ,0302 clinical medicine ,Developmental Neuroscience ,Humans ,Exome ,Copy-number variation ,Exome sequencing ,Genetics ,Glucose Transporter Type 1 ,Splice site mutation ,Epilepsy ,biology ,Infant ,Pedigree ,030104 developmental biology ,Glucose ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Hypoglycorrhachia ,biology.protein ,GLUT1 ,Female ,Neurology (clinical) ,Sequence Analysis ,030217 neurology & neurosurgery ,Carbohydrate Metabolism, Inborn Errors - Abstract
Aim Loss-of-function mutations in SLC2A1, encoding glucose transporter-1 (GLUT-1), lead to dysfunction of glucose transport across the blood–brain barrier. Ten percent of cases with hypoglycorrhachia (fasting cerebrospinal fluid [CSF] glucose
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- 2016
24. Dravet syndrome as epileptic encephalopathy: evidence from long-term course and neuropathology
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Sanjay M. Sisodiya, Mary B. Davis, Richard Appleton, J. Helen Cross, Shelagh J.M. Smith, Rachael Ellis, Joan Liu, Vaneesha Gibbons, Ioannis Liagkouras, Cathy E. Woodward, Sameer M. Zuberi, Susannah T. Bellows, Lillian Martinian, Thomas S. Jacques, Ingrid E. Scheffer, Claudia B. Catarino, Robyn Labrum, Matthias J. Koepp, Jacinta M McMahon, Maria Thom, and Simone C. Yendle
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Adult ,Male ,Pediatrics ,medicine.medical_specialty ,Encephalopathy ,Epilepsies, Myoclonic ,Nerve Tissue Proteins ,Neuropathology ,Sodium Channels ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,Dravet syndrome ,Medicine ,Humans ,SCN1A ,Na+ channel ,Generalized epilepsy ,030304 developmental biology ,Aged ,0303 health sciences ,Hippocampal sclerosis ,neuropathology ,business.industry ,Seizure types ,Brain ,Original Articles ,Syndrome ,Middle Aged ,medicine.disease ,encephalopathy ,3. Good health ,NAV1.1 Voltage-Gated Sodium Channel ,Anesthesia ,Epilepsy syndromes ,Mutation ,Disease Progression ,epilepsy ,Female ,Neurology (clinical) ,business ,Cognition Disorders ,030217 neurology & neurosurgery - Abstract
Dravet syndrome is an epilepsy syndrome of infantile onset, frequently caused by SCN1A mutations or deletions. Its prevalence, long-term evolution in adults and neuropathology are not well known. We identified a series of 22 adult patients, including three adult post-mortem cases with Dravet syndrome. For all patients, we reviewed the clinical history, seizure types and frequency, antiepileptic drugs, cognitive, social and functional outcome and results of investigations. A systematic neuropathology study was performed, with post-mortem material from three adult cases with Dravet syndrome, in comparison with controls and a range of relevant paediatric tissue. Twenty-two adults with Dravet syndrome, 10 female, were included, median age 39 years (range 20–66). SCN1A structural variation was found in 60% of the adult Dravet patients tested, including one post-mortem case with DNA extracted from brain tissue. Novel mutations were described for 11 adult patients; one patient had three SCN1A mutations. Features of Dravet syndrome in adulthood include multiple seizure types despite polytherapy, and age-dependent evolution in seizure semiology and electroencephalographic pattern. Fever sensitivity persisted through adulthood in 11 cases. Neurological decline occurred in adulthood with cognitive and motor deterioration. Dysphagia may develop in or after the fourth decade of life, leading to significant morbidity, or death. The correct diagnosis at an older age made an impact at several levels. Treatment changes improved seizure control even after years of drug resistance in all three cases with sufficient follow-up after drug changes were instituted; better control led to significant improvement in cognitive performance and quality of life in adulthood in two cases. There was no histopathological hallmark feature of Dravet syndrome in this series. Strikingly, there was remarkable preservation of neurons and interneurons in the neocortex and hippocampi of Dravet adult post-mortem cases. Our study provides evidence that Dravet syndrome is at least in part an epileptic encephalopathy.
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- 2011
25. Loss of synaptic Zn2+ transporter function increases risk of febrile seizures
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Steven Petrou, Paul A. Adlard, Susannah T. Bellows, Christopher A. Reid, Arvid Suls, A. Marie Phillips, Verena C. Wimmer, Katia Hardies, Sarah Weckhuysen, Samuel F. Berkovic, John A. Damiano, Rik Hendrickx, Rosemary Burgess, Ingrid E. Scheffer, Michael S. Hildebrand, Jacinta M McMahon, Peter De Jonghe, and Saul A. Mullen
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inorganic chemicals ,Risk ,medicine.medical_specialty ,DNA Mutational Analysis ,Molecular Sequence Data ,Inheritance Patterns ,Kaplan-Meier Estimate ,medicine.disease_cause ,Synaptic vesicle ,Seizures, Febrile ,Article ,Cell Line ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Animals ,Humans ,Genetic Predisposition to Disease ,Amino Acid Sequence ,Generalized epilepsy ,Cation Transport Proteins ,030304 developmental biology ,Mice, Knockout ,0303 health sciences ,Mutation ,Multidisciplinary ,business.industry ,Sodium channel ,Glutamate receptor ,Transporter ,Sequence Analysis, DNA ,medicine.disease ,Transport protein ,Pedigree ,Rats ,Zinc ,Endocrinology ,Anesthesia ,Case-Control Studies ,business ,Engineering sciences. Technology ,Sequence Alignment ,030217 neurology & neurosurgery ,Homeostasis - Abstract
Febrile seizures (FS) are the most common seizure syndrome and are potentially a prelude to more severe epilepsy. Although zinc (Zn2+) metabolism has previously been implicated in FS, whether or not variation in proteins essential for Zn2+ homeostasis contributes to susceptibility is unknown. Synaptic Zn2+ is co-released with glutamate and modulates neuronal excitability. SLC30A3 encodes the zinc transporter 3 (ZNT3), which is primarily responsible for moving Zn2+ into synaptic vesicles. Here we sequenced SLC30A3 and discovered a rare variant (c.892C > T; p.R298C) enriched in FS populations but absent in population-matched controls. Functional analysis revealed a significant loss-of-function of the mutated protein resulting from a trafficking deficit. Furthermore, mice null for ZnT3 were more sensitive than wild-type to hyperthermia-induced seizures that model FS. Together our data suggest that reduced synaptic Zn2+ increases the risk of FS and more broadly support the idea that impaired synaptic Zn2+ homeostasis can contribute to neuronal hyperexcitability.
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- 2015
26. Glucose metabolism transporters and epilepsy: only GLUT1 has an established role
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Samuel F. Berkovic, Ingrid E. Scheffer, Saul A. Mullen, Karen Oliver, Michael S. Hildebrand, Hans-Henrik M. Dahl, Susannah T. Bellows, and John A. Damiano
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Male ,medicine.medical_specialty ,Cohort Studies ,Epilepsy ,Internal medicine ,medicine ,Humans ,Generalized epilepsy ,Child ,Glucose Transporter Type 1 ,biology ,Glucose transporter ,Genetic Variation ,Infant ,medicine.disease ,Endocrinology ,Glucose ,Neurology ,Myoclonic astatic epilepsy ,Child, Preschool ,Mutation ,biology.protein ,GLUT1 ,Female ,Neurology (clinical) ,Haploinsufficiency ,Energy Metabolism ,GLUT3 - Abstract
The availability of glucose, and its glycolytic product lactate, for cerebral energy metabolism is regulated by specific brain transporters. Inadequate energy delivery leads to neurologic impairment. Haploinsufficiency of the glucose transporter GLUT1 causes a characteristic early onset encephalopathy, and has recently emerged as an important cause of a variety of childhood or later-onset generalized epilepsies and paroxysmal exercise-induced dyskinesia. We explored whether mutations in the genes encoding the other major glucose (GLUT3) or lactate (MCT1/2/3/4) transporters involved in cerebral energy metabolism also cause generalized epilepsies. A cohort of 119 cases with myoclonic astatic epilepsy or early onset absence epilepsy was screened for nucleotide variants in these five candidate genes. No epilepsy-causing mutations were identified, indicating that of the major energetic fuel transporters in the brain, only GLUT1 is clearly associated with generalized epilepsy.
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- 2013
27. Copy number variants are frequent in genetic generalized epilepsy with intellectual disability
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Heather C Mefford, Ingrid E. Scheffer, Susannah T. Bellows, Samuel F. Berkovic, Leanne M. Dibbens, Gemma L. Carvill, Saul A. Mullen, Marta A. Bayly, Mullen, Saul A, Carvill, Gemma L, Bellows, Susannah, Bayly, Marta A, Berkovic, Samuel F, Dibbens, Leanne M, Scheffer, Ingrid E, and Mefford, Heather C
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Proband ,Genetics ,congenital, hereditary, and neonatal diseases and abnormalities ,medicine.diagnostic_test ,Genetic counseling ,non-U.S. Gov't ,Case-control study ,review ,medicine.disease ,Article ,N.I.H ,Loss of heterozygosity ,research support ,mental disorders ,Intellectual disability ,case reports ,medicine ,Neurology (clinical) ,Copy-number variation ,extramural ,Psychology ,comparative study ,Comparative genomic hybridization ,Genetic testing - Abstract
A correction has been published, available at: http://dx.doi.org/10.1212/WNL.0000000000000027 A correction to the correction has been published at http://dx.doi.org/10.1212/WNL.0000000000000180 Objective: We examined whether copy number variants (CNVs) were more common in those with a combination of intellectual disability (ID) and genetic generalized epilepsy (GGE) than in those with either phenotype alone via a case-control study. Methods: CNVs contribute to the genetics of multiple neurodevelopmental disorders with complex inheritance, including GGE and ID. Three hundred fifty-nine probands with GGE and 60 probands with ID-GGE were screened for GGE-associated recurrent microdeletions at 15q13.3, 15q11.2, and 16p13.11 via quantitative PCR or loss of heterozygosity. Deletions were confirmed by comparative genomic hybridization (CGH). ID-GGE probands also had genome-wide CGH. Results: ID-GGE probands showed a significantly higher rate of CNVs compared with probands with GGE alone, with 17 of 60 (28%) ID-GGE probands having one or more potentially causative CNVs. The patients with ID-GGE had a 3-fold-higher rate of the 3 GGE-associated recurrent microdeletions than probands with GGE alone (10% vs 3%, p 5 0.02). They also showed a high rate (13/60, 22%) of rare CNVs identified using genome-wide CGH. Conclusions: This study shows thatCNVs are common in thosewith ID-GGE with recurrent deletions at 15q13.3, 15q11.2, and 16p13.11, particularly enriched compared with individuals with GGE or ID alone. Recurrent CNVs are likely to act as risk factors for multiple phenotypes not just at the population level, but also in any given individual. Testing for CNVs in ID-GGE will have a high diagnostic yield in a clinical setting and will inform genetic counselling. Refereed/Peer-reviewed
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- 2013
28. Role of the sodium channel SCN9A in genetic epilepsy with febrile seizures plus and Dravet syndrome
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Saul A. Mullen, Deepak Gill, Mark T Mackay, Jacinta M McMahon, Sanyjay Sisodiya, Michael Harbord, Lynette G. Sadleir, Bree L. Hodgson, Elaine C. Wirrell, Samuel F. Berkovic, Richard Webster, Susannah T. Bellows, Andrew Bleasel, John C. Mulley, Eva Andermann, Leanne M. Dibbens, Xenia Iona, Ingrid E. Scheffer, Kevin Farrell, Sara Kivity, Mulley, John, Hodgson, Bree, McMahon, Jacinta M, Iona, Xenia, Bellows, Susannah, Mullen, Saul A, Farrell, Kevin, Mackay, Mark, Sadleir, Lynette, Bleasel, Andrew, Gill, Deepak, Webster, Richard, Wirrell, Elaine C, Harbord, Michael, Sisodiya, Sanyjay, Andermann, Eva, Kivity, Sara, Berkovic, Samuel F, Scheffer, Ingrid E, and Dibbens, Leanne Michelle
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Pediatrics ,medicine.medical_specialty ,Genotype ,Epilepsies, Myoclonic ,genetic epilepsy with febrile seizures plus ,Seizures, Febrile ,Sodium Channels ,Genetic epilepsy ,Dravet syndrome ,SCN1B ,Febrile seizure ,Genetic predisposition ,Medicine ,febrile seizures ,susceptibility gene ,Humans ,Genetic Predisposition to Disease ,SCN1A ,Genetics ,genetic modifier ,SCN9A ,business.industry ,Sodium channel ,NAV1.7 Voltage-Gated Sodium Channel ,Genetic variants ,clinical heterogeneity ,medicine.disease ,Pedigree ,Neurology ,Mutation ,Neurology (clinical) ,business ,genetic susceptibility - Abstract
Mutations of the SCN1A subunit of the sodium channel is a cause of genetic epilepsy with febrile seizures plus (GEFS+) in multiplex families and accounts for 70–80% of Dravet syndrome (DS). DS cases without SCN1A mutation inherited have predicted SCN9A susceptibility variants, which may contribute to complex inheritance for these unexplained cases of DS. Compared with controls, DS cases were significantly enriched for rare SCN9A genetic variants. None of the multiplex febrile seizure or GEFS+ families could be explained by highly penetrant SCN9A mutations. Refereed/Peer-reviewed
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- 2013
29. Mutations in DEPDC5 cause familial focal epilepsy with variable foci
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Satyan Chintawar, Jozef Gecz, Sarah E. Heron, Susannah T. Bellows, Simona Donatello, Bree L. Hodgson, Paul Q. Thomas, Frederick Andermann, Alison Gardner, Claudia M Weller, Rosa Guerrero-López, Oebele F. Brouwer, Samuel F. Berkovic, Karl Martin Klein, Petra M.C. Callenbach, Arn M. J. M. van den Maagdenberg, Boukje de Vries, Laura Licchetta, Ingrid E. Scheffer, Massimo Pandolfo, Sara Kivity, Patrick Cossette, José M. Serratosa, James N. Hughes, Francesca Bisulli, Mark A. Corbett, John C. Mulley, François Dubeau, Denis Crimmins, Leanne M. Dibbens, Terence J. O'Brien, Xenia Iona, Brigid M. Regan, Eva Andermann, Douglas E. Crompton, Dibbens, Leanne Michelle, De Vries, B, Donatello, S, Heron, Sarah Elizabeth, Hodgson, Bree, Iona, Xenia, Scheffer, Ingrid E, L. M. Dibben, B. d. Vrie, S. Donatello, S. E. Heron, B. L. Hodgson, S. Chintawar, D. E. Crompton, J. N. Hughe, S. T. Bellow, K. M. Klein, P. M. C, M. A. Corbett, A. E. Gardner, S. Kivity, X. Iona, B. M. Regan, C. M. Weller, D. Crimmin, T. J. O'Brien, R. Guerrero-López, J. C. Mulley, F. Dubeau, L. Licchetta, F. Bisulli, P. Cossette, P. Q. Thoma, J. Gecz, J. Serratosa, O. F. Brouwer, F. Andermann, E. Andermann, A. M. J, M. Pandolfo, S. F. Berkovic, and I. E. Scheffer
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Male ,DEPDC5 ,Genetic Linkage ,Neuronal signal transduction ,genetics, Genotype, Guanine Nucleotide Exchange Factor ,Fluorescent Antibody Technique ,CHROMOSOME 22Q12 ,Cohort Studies ,Mice ,Epilepsy ,Genotype ,Guanine Nucleotide Exchange Factors ,Exome ,LOBE EPILEPSY ,Child ,Cells, Cultured ,Exome sequencing ,Neurons ,Genetics ,genetics, Humans, Infant, Male, Mice, Middle Aged, Mutation ,GTPase-Activating Proteins ,Middle Aged ,Cultured, Child, Child ,diagnosis/genetics, Exome ,NPRL3 ,Pedigree ,Child, Preschool ,Female ,genetics, Female, Fluorescent Antibody Technique, Genetic Linkage, Genetic Predisposition to Disease ,Preschool, Cohort Studies, Computational Biology, Epilepsie ,Partial ,Adult ,Pluripotent Stem Cells ,cytology/metabolism, Pedigree, Pluripotent Stem Cell ,DOMAINS ,Adolescent ,SUGGESTION ,GENERALIZED EPILEPSY ,Biology ,Young Adult ,cytology/metabolism, Young Adult ,LINKAGE ,medicine ,Animals ,Humans ,Genetic Predisposition to Disease ,Generalized epilepsy ,epilepsies ,COMPLEX ,Computational Biology ,Infant ,genetics, Neuron ,medicine.disease ,mutations ,Repressor Proteins ,Case-Control Studies ,Adolescent, Adult, Animals, Case-Control Studies, Cell ,Mutation ,CELLS ,SEIZURES ,Epilepsies, Partial ,MEMBRANE - Abstract
The majority of epilepsies are focal in origin, with seizures emanating from one brain region. Although focal epilepsies often arise from structural brain lesions, many affected individuals have normal brain imaging. The etiology is unknown in the majority of individuals, although genetic factors are increasingly recognized. Autosomal dominant familial focal epilepsy with variable foci (FFEVF) is notable because family members have seizures originating from different cortical regions. Using exome sequencing, we detected DEPDC5 mutations in two affected families. We subsequently identified mutations in five of six additional published large families with FFEVF. Study of families with focal epilepsy that were too small for conventional clinical diagnosis with FFEVF identified DEPDC5 mutations in approximately 12% of families (10/82). This high frequency establishes DEPDC5 mutations as a common cause of familial focal epilepsies. Shared homology with G protein signaling molecules and localization in human neurons suggest a role of DEPDC5 in neuronal signal transduction. Refereed/Peer-reviewed
- Published
- 2013
30. Seizure semiology in autosomal dominant epilepsy with auditory features, due to novel LGI1 mutations
- Author
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Elodie Chabrol, Eric LeGuern, Dahbia Agher, Susannah T. Bellows, Samuel F. Berkovic, Sarah Paterson, Ingrid E. Scheffer, Stéphanie Baulac, Rosie Harty, Lynette G. Sadleir, and Léa Elkouby
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,Aura ,Molecular Sequence Data ,Neurological disorder ,Epilepsy, Reflex ,Temporal lobe ,Central nervous system disease ,Epilepsy ,Young Adult ,Seizures ,Convulsion ,medicine ,Humans ,Amino Acid Sequence ,Seizure semiology ,Aged ,Aged, 80 and over ,Intracellular Signaling Peptides and Proteins ,Proteins ,Semiology ,Middle Aged ,medicine.disease ,Pedigree ,Neurology ,Acoustic Stimulation ,Mutation ,Female ,Neurology (clinical) ,medicine.symptom ,Psychology ,Neuroscience ,Photic Stimulation - Abstract
Mutations in LGI1 are found in 50% of families with autosomal dominant epilepsy with auditory features (ADEAF). In ADEAF, family members have predominantly lateral temporal lobe seizures but mesial temporal lobe semiology may also occur. We report here three families with novel LGI1 mutations (p.Ile82Thr, p.Glu225*, c.432-2_436del). Seven affected individuals reported an auditory aura and one a visual aura. A 10-year old boy described a cephalic aura followed by an unpleasant taste and oral automatisms without auditory, visual or psychic features.
- Published
- 2012
31. Does variation in NIPA2 contribute to genetic generalized epilepsy?
- Author
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Saul A. Mullen, Samuel F. Berkovic, Susannah T. Bellows, Ingrid E. Scheffer, John A. Damiano, and Michael S. Hildebrand
- Subjects
Genetics ,Epilepsy ,Variation (linguistics) ,Membrane protein ,medicine ,Biology ,medicine.disease ,Genetic generalized epilepsy ,Molecular medicine ,Genetics (clinical) ,Human genetics - Published
- 2014
32. Familial Adult Myoclonic Epilepsy
- Author
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Douglas E. Crompton, Todor Arsov, Ingrid E. Scheffer, Kate M. Lawrence, John W. Dunne, Susannah T. Bellows, Melanie Bahlo, Samuel F. Berkovic, Catherine J. Bromhead, Rosemary C. Harty, and Lynette G. Sadleir
- Subjects
Adult ,Male ,Pediatrics ,medicine.medical_specialty ,Adolescent ,Genetic Linkage ,Epilepsies, Myoclonic ,Locus (genetics) ,Audiology ,Electroencephalography ,Young Adult ,Epilepsy ,Arts and Humanities (miscellaneous) ,Evoked Potentials, Somatosensory ,Reflex ,Tremor ,medicine ,Humans ,Young adult ,Child ,Family Health ,Memory Disorders ,Essential tremor ,medicine.diagnostic_test ,Electromyography ,business.industry ,Age Factors ,Chromosome Mapping ,Recognition, Psychology ,Middle Aged ,medicine.disease ,nervous system diseases ,Phenotype ,Italy ,Child, Preschool ,Chromosomes, Human, Pair 2 ,Myoclonic epilepsy ,Female ,Neurology (clinical) ,medicine.symptom ,Sleep onset ,business ,Myoclonus - Abstract
Background Familial adult myoclonic epilepsy (FAME) is an autosomal dominant syndrome characterized by a core triad of cortical tremor, multifocal myoclonus, and generalized tonic-clonic seizures. Objectives To expand the phenotypic spectrum of FAME, to highlight diagnostic pointers to this underrecognized disorder, and to refine the FAME2 genetic locus. Design Observational family study. Setting The study was coordinated in a tertiary academic hospital, with data acquired in diverse primary, secondary, and tertiary care settings. Participants Consenting members of a single large family. Results A 6-generation FAME kindred of European descent was ascertained in New Zealand and Australia. Affected family members (N = 55) had fine hand tremor, with onset typically in adolescence (median age, 15 years; age range, 4-60 years). Proximal myoclonus was present in 44 of 55 (80%), arising later than hand tremor (median age, 17 years; age range, 5-60 years). Generalized tonic-clonic seizures occurred in 8 of 55 (15%), with a median age at onset of 43.5 years (age range, 18-76 years). Neurophysiological testing confirmed features of cortical reflex myoclonus. Genetic mapping narrows the FAME2 (OMIM 607876) locus on chromosome 2 to a 13.3-megabase interval, harboring 99 known protein-coding genes. Conclusions The most common FAME phenotype in this large family is mild postural hand tremor resembling essential tremor, combined with subtle proximal myoclonus. Generalized tonic-clonic seizures are uncommon and occur around sleep onset following severe generalized myoclonus.
- Published
- 2012
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