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Detection of SCN1A mutations in patients with severe myoclonic epilepsy in infancy by custom resequence array Cover

Detection of SCN1A mutations in patients with severe myoclonic epilepsy in infancy by custom resequence array

Open Access
|Jun 2013

Abstract

Introduction

Very few epilepsy phenotypes have been associated with causative genes; nevertheless, it is becoming possible, for some epilepsy phenotypes, to predict the most efficacious anti-epileptic drugs for patients based on their genetic makeup. The development of individualized medicine based on genetic information and the genetic diagnosis of epilepsy are expected to greatly improve the diagnosis and treatment of epilepsy. Here, we developed a DNA array (resequencing array) for the genetic diagnosis of epilepsies in which 14 epilepsy – related genes (SCN1A, SCN1B, CHRNA4, CHRNA7, CHRNB2, GABRA1, GABRD, GABRG2, CACNB4, CLCN2, KCNQ2, KCNQ3, CACNA1A, and CACNA1H) have been mounted.

Aim

The aim of the present study is to evaluate the performance of our custom array in detecting the SCN1A mutations in patients with severe myoclonic epilepsy in infancy.

Material and methods

We compared mutation data generated by DNA array sequencing of DNA samples from patients with severe myoclonic epilepsy in infancy to the data generated by capillary sequencing.

Results

Heterozygosity was detected in 44 of 48 patients (92%). We successfully identified epilepsy mutations, and the results of DNA array analyses were largely consistent with the results of capillary sequencing analysis.

Conclusion

These findings indicate that this DNA array is likely to be a useful tool in clinical settings.

DOI: https://doi.org/10.21307/joepi-2015-0001 | Journal eISSN: 2299-9728 | Journal ISSN: 2300-0147
Language: English
Page range: 5 - 13
Submitted on: May 24, 2012
Accepted on: Jun 3, 2013
Published on: Jun 10, 2013
Published by: The Foundation of Epileptology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2013 Takayuki Sugawara, Shuichi Yoshida, Naoko Onodera, Kazumaru Wada, Shinichi Hirose, Sunao Kaneko, published by The Foundation of Epileptology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.