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Clinical and molecular analysis of epilepsy-related genes in patients with Dravet syndrome

Dravet syndrome is considered to be one of the most severe types of genetic epilepsy. Mutations in SCN1A gene have been found to be responsible for at least 80% of patients with Dravet syndrome, and 90% of these mutations arise de novo. The variable clinical phenotype is commonly observed among thes...

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Autores principales: Jiang, TieJia, Shen, Yaping, Chen, Huai, Yuan, Zhefeng, Mao, Shanshan, Gao, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320057/
https://www.ncbi.nlm.nih.gov/pubmed/30558019
http://dx.doi.org/10.1097/MD.0000000000013565
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author Jiang, TieJia
Shen, Yaping
Chen, Huai
Yuan, Zhefeng
Mao, Shanshan
Gao, Feng
author_facet Jiang, TieJia
Shen, Yaping
Chen, Huai
Yuan, Zhefeng
Mao, Shanshan
Gao, Feng
author_sort Jiang, TieJia
collection PubMed
description Dravet syndrome is considered to be one of the most severe types of genetic epilepsy. Mutations in SCN1A gene have been found to be responsible for at least 80% of patients with Dravet syndrome, and 90% of these mutations arise de novo. The variable clinical phenotype is commonly observed among these patients with SCN1A mutations, suggesting that genetic modifiers may influence the phenotypic expression of Dravet syndrome. In the present study, we described the clinical, pathological, and molecular characteristics of 13 Han Chinese pedigrees clinically diagnosed with Dravet syndrome. By targeted-exome sequencing, bioinformatics analysis and Sanger sequencing verification, 11 variants were identified in SCN1A gene among 11 pedigrees including 7 missense mutations, 2 splice site mutations, and 2 frameshift mutations (9 novel variants and 2 reported mutations). Particularly, 2 of these Dravet syndrome patients with SCN1A variants also harbored SCN9A, KCNQ2, or SLC6A8 variants. In addition, 2 subjects were failed to detect any pathogenic mutations in SCN1A and other epilepsy-related genes. These data suggested that SCN1A variants account for about 84.6% of Dravet syndrome in our cohort. This study expanded the mutational spectrum for the SCN1A gene, and also provided clinical and genetic evidence for the hypothesis that genetic modifiers may contribute to the variable manifestation of Dravet syndrome patients with SCN1A mutations. Thus, targeted-exome sequencing will make it possible to detect the interactions of epilepsy-related genes and reveal their modification on the severity of SCN1A mutation-related Dravet syndrome.
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spelling pubmed-63200572019-01-14 Clinical and molecular analysis of epilepsy-related genes in patients with Dravet syndrome Jiang, TieJia Shen, Yaping Chen, Huai Yuan, Zhefeng Mao, Shanshan Gao, Feng Medicine (Baltimore) Research Article Dravet syndrome is considered to be one of the most severe types of genetic epilepsy. Mutations in SCN1A gene have been found to be responsible for at least 80% of patients with Dravet syndrome, and 90% of these mutations arise de novo. The variable clinical phenotype is commonly observed among these patients with SCN1A mutations, suggesting that genetic modifiers may influence the phenotypic expression of Dravet syndrome. In the present study, we described the clinical, pathological, and molecular characteristics of 13 Han Chinese pedigrees clinically diagnosed with Dravet syndrome. By targeted-exome sequencing, bioinformatics analysis and Sanger sequencing verification, 11 variants were identified in SCN1A gene among 11 pedigrees including 7 missense mutations, 2 splice site mutations, and 2 frameshift mutations (9 novel variants and 2 reported mutations). Particularly, 2 of these Dravet syndrome patients with SCN1A variants also harbored SCN9A, KCNQ2, or SLC6A8 variants. In addition, 2 subjects were failed to detect any pathogenic mutations in SCN1A and other epilepsy-related genes. These data suggested that SCN1A variants account for about 84.6% of Dravet syndrome in our cohort. This study expanded the mutational spectrum for the SCN1A gene, and also provided clinical and genetic evidence for the hypothesis that genetic modifiers may contribute to the variable manifestation of Dravet syndrome patients with SCN1A mutations. Thus, targeted-exome sequencing will make it possible to detect the interactions of epilepsy-related genes and reveal their modification on the severity of SCN1A mutation-related Dravet syndrome. Wolters Kluwer Health 2018-12-14 /pmc/articles/PMC6320057/ /pubmed/30558019 http://dx.doi.org/10.1097/MD.0000000000013565 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Research Article
Jiang, TieJia
Shen, Yaping
Chen, Huai
Yuan, Zhefeng
Mao, Shanshan
Gao, Feng
Clinical and molecular analysis of epilepsy-related genes in patients with Dravet syndrome
title Clinical and molecular analysis of epilepsy-related genes in patients with Dravet syndrome
title_full Clinical and molecular analysis of epilepsy-related genes in patients with Dravet syndrome
title_fullStr Clinical and molecular analysis of epilepsy-related genes in patients with Dravet syndrome
title_full_unstemmed Clinical and molecular analysis of epilepsy-related genes in patients with Dravet syndrome
title_short Clinical and molecular analysis of epilepsy-related genes in patients with Dravet syndrome
title_sort clinical and molecular analysis of epilepsy-related genes in patients with dravet syndrome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320057/
https://www.ncbi.nlm.nih.gov/pubmed/30558019
http://dx.doi.org/10.1097/MD.0000000000013565
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