Literature DB >> 25625532

Predictive value of EFHC1 variants for the long-term seizure outcome in juvenile myoclonic epilepsy.

Felix von Podewils1, Victoria Kowoll2, Winnie Schroeder3, Julia Geithner4, Zhong I Wang5, Bernadette Gaida2, Paula Bombach2, Christof Kessler2, Ute Felbor3, Uwe Runge2.   

Abstract

OBJECTIVE: This study aimed to determine the contribution of EFHC1 variants to the phenotypic variability of juvenile myoclonic epilepsy (JME) and to evaluate their diagnostic value regarding previously identified clinical long-term seizure outcome predictors in a consecutive cohort of patients with JME.
METHODS: Thirty-eight probands and three family members affected with JME were studied at a tertiary epilepsy center with a review of their medical records and a subsequent face-to-face interview. All coding EFHC1 exons and adjacent exon/intron boundaries were directly sequenced.
RESULTS: The previously reported EFHC1 mutation F229L was found in two cases who presented with early generalized tonic-clonic seizure (GTCS) onset and appeared to be associated with milder subtypes of JME. Variant R294H was identified in two further probands who had a subtype of JME developing from childhood absence epilepsy. However, segregation of the phenotype with this variant could not be confirmed in one family.
CONCLUSIONS: Our findings corroborate the heterogeneity of JME as an electroclinical epilepsy syndrome and provide evidence that genetic factors may influence and help predict the long-term seizure outcome in patients with JME.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  EFHC1; Genetic variants; Juvenile myoclonic epilepsy; Outcome predictors

Mesh:

Substances:

Year:  2015        PMID: 25625532     DOI: 10.1016/j.yebeh.2014.12.016

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  4 in total

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Authors:  Ying Zhao; Jianli Shi; Mark Winey; Michael W Klymkowsky
Journal:  Dev Biol       Date:  2016-01-16       Impact factor: 3.582

2.  Genetic characteristics of non-familial epilepsy.

Authors:  Kyung Wook Kang; Wonkuk Kim; Yong Won Cho; Sang Kun Lee; Ki-Young Jung; Wonchul Shin; Dong Wook Kim; Won-Joo Kim; Hyang Woon Lee; Woojun Kim; Keuntae Kim; So-Hyun Lee; Seok-Yong Choi; Myeong-Kyu Kim
Journal:  PeerJ       Date:  2019-12-19       Impact factor: 2.984

3.  EFHC1 variants in juvenile myoclonic epilepsy: reanalysis according to NHGRI and ACMG guidelines for assigning disease causality.

Authors:  Julia N Bailey; Christopher Patterson; Laurence de Nijs; Reyna M Durón; Viet-Huong Nguyen; Miyabi Tanaka; Marco T Medina; Aurelio Jara-Prado; Iris E Martínez-Juárez; Adriana Ochoa; Yolli Molina; Toshimitsu Suzuki; María E Alonso; Jenny E Wight; Yu-Chen Lin; Laura Guilhoto; Elza Marcia Targas Yacubian; Jesús Machado-Salas; Andrea Daga; Kazuhiro Yamakawa; Thierry M Grisar; Bernard Lakaye; Antonio V Delgado-Escueta
Journal:  Genet Med       Date:  2016-07-28       Impact factor: 8.822

4.  EFHC1 mutation in Indian juvenile myoclonic epilepsy patient.

Authors:  Romita Thounaojam; Leader Langbang; Kavish Itisham; Roohollah Sobhani; Shivani Srivastava; Bhargavi Ramanujam; Ramesh Verma; Manjari Tripathi; Kripamoy Aguan
Journal:  Epilepsia Open       Date:  2017-02-01
  4 in total

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