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2013 | 21 | 1 | 5-13

Article title

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

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EN

Abstracts

EN
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 SCN1Amutations 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.

Keywords

EN

Publisher

Year

Volume

21

Issue

1

Pages

5-13

Physical description

Dates

published
1 - 6 - 2013
online
1 - 3 - 2015
received
24 - 5 - 2012
accepted
3 - 6 - 2013

Contributors

  • Department of Neuropsychiatry, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
  • Research Institute of Bio-system Informatics, Tohoku Chemical Co., Ltd. Morioka, Japan
  • Department of Integrated Human Sciences, Hamamatsu University School of Medicine, Hamamatsu, Japan
author
  • Department of Neuropsychiatry, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
  • Research Institute of Bio-system Informatics, Tohoku Chemical Co., Ltd. Morioka, Japan
author
  • Department of Disability and Health, Division of Health Sciences, Hirosaki University Graduate School of Health Sciences, Hirosaki, Japan
  • Department of Pediatrics, School of Medicine, Fukuoka University, Fukuoka, Japan
author
  • Department of Neuropsychiatry, Hirosaki University Graduate School of Medicine, Hirosaki, Japan

References

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.-psjd-doi-10_1515_joepi-2015-0001
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