Literature DB >> 29314583

Novel mutations and phenotypes of epilepsy-associated genes in epileptic encephalopathies.

P Zhou1,2, N He1,2, J-W Zhang3, Z-J Lin1,2, J Wang1,2, L-M Yan1,2, H Meng4,5, B Tang1,2, B-M Li1,2, X-R Liu1,2, Y-W Shi1,2, Q-X Zhai3, Y-H Yi1,2, W-P Liao1,2.   

Abstract

Epileptic encephalopathies are severe epilepsy disorders with strong genetic bases. We performed targeted next-generation sequencing (NGS) in 70 patients with epileptic encephalopathies. The likely pathogenicity of variants in candidate genes was evaluated by American College of Medical Genetics and Genomics (ACMG) scoring taken together with the accepted clinical presentation. Thirty-three candidate variants were detected after population filtration and computational prediction. According to ACMG, 21 candidate variants, including 18 de novo variants, were assessed to be pathogenic/likely pathogenic with clinical concordance. Twelve variants were initially assessed as uncertain significance by ACMG, among which 3 were considered causative and 3 others were considered possibly causative after analysis of clinical concordance. In total, 24 variants were identified as putatively causative, among which 19 were novel findings. SCN1A mutations were identified in 50% of patients with Dravet syndrome. TSC1/TSC2 mutations were detected in 66.7% of patients with tuberous sclerosis. STXBP1 mutations were the main findings in patients with West syndrome. Mutations in SCN2A, KCNT1, KCNQ2 and CLCN4 were identified in patients with epileptic infantile with migrating focal seizures; among them, KCNQ2 and CLCN4 were first identified as potential causative genes. Only one CHD2 mutation was detected in patients with Lennox-Gastaut syndrome. This study highlighted the utility of targeted NGS in genetic diagnoses of epileptic encephalopathies and a comprehensive evaluation of the pathogenicity of variants based on ACMG scoring and assessment of clinical concordance. Epileptic encephalopathies differ in genetic causes, and the genotype-phenotype correlations would provide insights into the underlying pathogenic mechanisms.
© 2018 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.

Entities:  

Keywords:  ACMG scoring; clinical phenotype; epileptic encephalopathies; pathogenicity of mutations; targeted next-generation sequencing

Mesh:

Substances:

Year:  2018        PMID: 29314583     DOI: 10.1111/gbb.12456

Source DB:  PubMed          Journal:  Genes Brain Behav        ISSN: 1601-183X            Impact factor:   3.449


  24 in total

1.  Exome sequencing as first-tier genetic testing in infantile-onset pharmacoresistant epilepsy: diagnostic yield and treatment impact.

Authors:  Ponghatai Boonsimma; Chupong Ittiwut; Wuttichart Kamolvisit; Rungnapa Ittiwut; Wanna Chetruengchai; Chureerat Phokaew; Chalurmpon Srichonthong; Sathida Poonmaksatit; Tayard Desudchit; Kanya Suphapeetiporn; Vorasuk Shotelersuk
Journal:  Eur J Hum Genet       Date:  2022-10-05       Impact factor: 5.351

Review 2.  'Channeling' therapeutic discovery for epileptic encephalopathy through iPSC technologies.

Authors:  Dina Simkin; Christina Ambrosi; Kelly A Marshall; Luis A Williams; Jordyn Eisenberg; Mennat Gharib; Graham T Dempsey; Alfred L George; Owen B McManus; Evangelos Kiskinis
Journal:  Trends Pharmacol Sci       Date:  2022-05       Impact factor: 17.638

3.  Customized multigene panels in epilepsy: the best things come in small packages.

Authors:  Simona Pellacani; Claudia Dosi; Giulia Valvo; Francesca Moro; Serena Mero; Federico Sicca; Filippo Maria Santorelli
Journal:  Neurogenetics       Date:  2019-12-13       Impact factor: 2.660

Review 4.  Modeling epileptic spasms during infancy: Are we heading for the treatment yet?

Authors:  Libor Velíšek; Jana Velíšková
Journal:  Pharmacol Ther       Date:  2020-05-15       Impact factor: 12.310

5.  HPO-Shuffle: an associated gene prioritization strategy and its application in drug repurposing for the treatment of canine epilepsy.

Authors:  Shuguang Wang; Xiangyu Meng; Yuxing Wang; Yemao Liu; Jingbo Xia
Journal:  Biosci Rep       Date:  2019-09-06       Impact factor: 3.840

6.  A new mechanism for cannabidiol in regulating the one-carbon cycle and methionine levels in Dictyostelium and in mammalian epilepsy models.

Authors:  Christopher J Perry; Paul Finch; Annette Müller-Taubenberger; Kit-Yi Leung; Eleanor C Warren; Joseph Damstra-Oddy; Devdutt Sharma; Pabitra H Patra; Sarah Glyn; Joanna Boberska; Balint Stewart; Amy Baldwin; Fabiana Piscitelli; Robert J Harvey; Adrian Harwood; Christopher Thompson; Sandrine P Claus; Nicholas D E Greene; Alister J McNeish; Claire M Williams; Benjamin J Whalley; Robin S B Williams
Journal:  Br J Pharmacol       Date:  2020-01-03       Impact factor: 8.739

7.  Epilepsy with migrating focal seizures: KCNT1 mutation hotspots and phenotype variability.

Authors:  Giulia Barcia; Nicole Chemaly; Mathieu Kuchenbuch; Monika Eisermann; Stéphanie Gobin-Limballe; Viorica Ciorna; Alfons Macaya; Laetitia Lambert; Fanny Dubois; Diane Doummar; Thierry Billette de Villemeur; Nathalie Villeneuve; Marie-Anne Barthez; Caroline Nava; Nathalie Boddaert; Anna Kaminska; Nadia Bahi-Buisson; Mathieu Milh; Stéphane Auvin; Jean-Paul Bonnefont; Rima Nabbout
Journal:  Neurol Genet       Date:  2019-10-25

Review 8.  Chromatin Remodeling Proteins in Epilepsy: Lessons From CHD2-Associated Epilepsy.

Authors:  Kay-Marie J Lamar; Gemma L Carvill
Journal:  Front Mol Neurosci       Date:  2018-06-15       Impact factor: 5.639

9.  Few individuals with Lennox-Gastaut syndrome have autism spectrum disorder: a comparison with Dravet syndrome.

Authors:  Na He; Bing-Mei Li; Zhao-Xia Li; Jie Wang; Xiao-Rong Liu; Heng Meng; Bin Tang; Wen-Jun Bian; Yi-Wu Shi; Wei-Ping Liao
Journal:  J Neurodev Disord       Date:  2018-03-20       Impact factor: 4.025

10.  Novel and de novo mutations in pediatric refractory epilepsy.

Authors:  Jing Liu; Lili Tong; Shuangshuang Song; Yue Niu; Jun Li; Xiu Wu; Jie Zhang; Clement C Zai; Fang Luo; Jian Wu; Haiyin Li; Albert H C Wong; Ruopeng Sun; Fang Liu; Baomin Li
Journal:  Mol Brain       Date:  2018-09-05       Impact factor: 4.041

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