New avenues in molecular genetics for the diagnosis and application of therapeutics to the epilepsies.
Complex inheritance
Developmental epileptic encephalopathies
Genome-wide association studies
Journal
Epilepsy & behavior : E&B
ISSN: 1525-5069
Titre abrégé: Epilepsy Behav
Pays: United States
ID NLM: 100892858
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
received:
05
05
2019
revised:
14
06
2019
accepted:
06
07
2019
pubmed:
12
8
2019
medline:
12
8
2021
entrez:
12
8
2019
Statut:
ppublish
Résumé
Genetic epidemiology studies have shown that most epilepsies involve some genetic cause. In addition, twin studies have helped strengthen the hypothesis that in most patients with epilepsy, a complex inheritance is involved. More recently, with the development of high-density single-nucleotide polymorphism (SNP) microarrays and next-generation sequencing (NGS) technologies, the discovery of genes related to the epilepsies has accelerated tremendously. Especially, the use of whole exome sequencing (WES) has had a considerable impact on the identification of rare genetic variants with large effect sizes, including inherited or de novo mutations in severe forms of childhood epilepsies. The identification of pathogenic variants in patients with these childhood epilepsies provides many benefits for patients and families, such as the confirmation of the genetic nature of the diseases. This process will allow for better genetic counseling, more accurate therapy decisions, and a significant positive emotional impact. However, to study the genetic component of the more common forms of epilepsy, the use of high-density SNP arrays in genome-wide association studies (GWAS) seems to be the strategy of choice. As such, researchers can identify loci containing genetic variants associated with the common forms of epilepsy. The knowledge generated over the past two decades about the effects of the mutations that cause the monogenic epilepsy is tremendous; however, the scientific community is just starting to apply this information in order to generate better target treatments.
Identifiants
pubmed: 31400936
pii: S1525-5050(19)30437-8
doi: 10.1016/j.yebeh.2019.07.029
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
106428Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors report no commercial or financial relationships that could be construed as a potential conflict of interest related to the present manuscript.