Detailed Information

Cited 1 time in webofscience Cited 1 time in scopus
Metadata Downloads

Genetic characteristics of non-familial epilepsy

Full metadata record
DC Field Value Language
dc.contributor.authorKang K.W.-
dc.contributor.authorKim W.-
dc.contributor.authorCho Y.W.-
dc.contributor.authorLee S.K.-
dc.contributor.authorJung K.-Y.-
dc.contributor.authorShin W.-
dc.contributor.authorKim D.W.-
dc.contributor.authorKim W.-J.-
dc.contributor.authorLee H.W.-
dc.contributor.authorKim W.-
dc.contributor.authorKim K.-
dc.contributor.authorLee S.-H.-
dc.contributor.authorChoi S.-Y.-
dc.contributor.authorKim M.-K.-
dc.date.available2020-02-17T06:40:19Z-
dc.date.issued2019-12-
dc.identifier.issn2167-8359-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37511-
dc.description.abstractBackground: Knowledge of the genetic etiology of epilepsy can provide essential prognostic information and influence decisions regarding treatment and management, leading us into the era of precision medicine. However, the genetic basis underlying epileptogenesis or epilepsy pharmacoresistance is not well-understood, particularly in non-familial epilepsies with heterogeneous phenotypes that last until or start in adulthood. Methods: We sought to determine the contribution of known epilepsy-associated genes (EAGs) to the causation of non-familial epilepsies with heterogeneous phenotypes and to the genetic basis underlying epilepsy pharmacoresistance. We performed a multi-center study for whole exome sequencing-based screening of 178 selected EAGs in 243 non-familial adult patients with primarily focal epilepsy (122 drug-resistant and 121 drug-responsive epilepsies). The pathogenicity of each variant was assessed through a customized stringent filtering process and classified according to the American College of Medical Genetics and Genomics guidelines. Results: Possible causal genetic variants of epilepsy were uncovered in 13.2% of non-familial patients with primarily focal epilepsy. The diagnostic yield according to the seizure onset age was 25% (2/8) in the neonatal and infantile period, 11.1% (14/126) in childhood and 14.7% (16/109) in adulthood. The higher diagnostic yields were from ion channel-related genes and mTOR pathway-related genes, which does not significantly differ from the results of previous studies on familial or early-onset epilepsies. These potentially pathogenic variants, which were identified in genes that have been mainly associated with early-onset epilepsies with severe phenotypes, were also linked to epilepsies that start in or last until adulthood in this study. This finding suggested the presence of one or more disease-modifying factors that regulate the onset time or severity of epileptogenesis. The target hypothesis of epilepsy pharmacoresistance was not verified in our study. Instead, neurodevelopment-associated epilepsy genes, such as TSC2 or RELN, or structural brain lesions were more strongly associated with epilepsy pharmacoresistance. Conclusions: We revealed a fraction of possible causal genetic variants of non-familial epilepsies in which genetic testing is usually overlooked. In this study, we highlight the importance of earlier identification of the genetic etiology of non-familial epilepsies, which leads us to the best treatment options in terms of precision medicine and to future neurobiological research for novel drug development. This should be considered a justification for physicians determining the hidden genetics of non-familial epilepsies that last until or start in adulthood. Copyright 2019 Kang et al.-
dc.language영어-
dc.language.isoENG-
dc.publisherPeerJ Inc.-
dc.titleGenetic characteristics of non-familial epilepsy-
dc.typeArticle-
dc.identifier.doi10.7717/peerj.8278-
dc.identifier.bibliographicCitationPeerJ, v.2019, no.12-
dc.description.isOpenAccessY-
dc.identifier.wosid000503384800011-
dc.identifier.scopusid2-s2.0-85076847107-
dc.citation.number12-
dc.citation.titlePeerJ-
dc.citation.volume2019-
dc.identifier.urlhttps://peerj.com/articles/8278.pdf-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorGenetics-
dc.subject.keywordAuthorIn silico analysis-
dc.subject.keywordAuthorNon-familial epilepsy-
dc.subject.keywordAuthorWhole exome sequencing-
dc.subject.keywordPlusDE-NOVO MUTATIONS-
dc.subject.keywordPlusPANEL-
dc.subject.keywordPlusENCEPHALOPATHIES-
dc.subject.keywordPlusDEFINITION-
dc.subject.keywordPlusVARIANTS-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
Appears in
Collections
College of Business & Economics > Department of Applied Statistics > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Won Kuk photo

Kim, Won Kuk
경영경제대학 (응용통계학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE