Article (Scientific journals)
Association of ultra-rare coding variants with genetic generalized epilepsy: A case–control whole exome sequencing study
Koko, Mahmoud; Motelow, Joshua E.; Stanley, Kate E. et al.
2022In Epilepsia
Peer Reviewed verified by ORBi
 

Files


Full Text
Epilepsia - 2022 - Koko - Association of ultra%u2010rare coding variants with genetic generalized epilepsy A case control whole.pdf
Publisher postprint (1.17 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
familial epilepsy; GABAA receptors; GABRG2; GGE; sporadic epilepsy
Abstract :
[en] Abstract Objective We aimed to identify genes associated with genetic generalized epilepsy (GGE) by combining large cohorts enriched with individuals with a positive family history. Secondarily, we set out to compare the association of genes independently with familial and sporadic GGE. Methods We performed a case–control whole exome sequencing study in unrelated individuals of European descent diagnosed with GGE (previously recruited and sequenced through multiple international collaborations) and ancestry-matched controls. The association of ultra-rare variants (URVs; in 18 834 protein-coding genes) with epilepsy was examined in 1928 individuals with GGE (vs. 8578 controls), then separately in 945 individuals with familial GGE (vs. 8626 controls), and finally in 1005 individuals with sporadic GGE (vs. 8621 controls). We additionally examined the association of URVs with familial and sporadic GGE in two gene sets important for inhibitory signaling (19 genes encoding γ-aminobutyric acid type A [GABAA] receptors, 113 genes representing the GABAergic pathway). Results GABRG2 was associated with GGE (p = 1.8 × 10−5), approaching study-wide significance in familial GGE (p = 3.0 × 10−6), whereas no gene approached a significant association with sporadic GGE. Deleterious URVs in the most intolerant subgenic regions in genes encoding GABAA receptors were associated with familial GGE (odds ratio [OR] = 3.9, 95 confidence interval [CI] = 1.9–7.8, false discovery rate [FDR]-adjusted p = .0024), whereas their association with sporadic GGE had marginally lower odds (OR = 3.1, 95 CI = 1.3–6.7, FDR-adjusted p = .022). URVs in GABAergic pathway genes were associated with familial GGE (OR = 1.8, 95 CI = 1.3–2.5, FDR-adjusted p = .0024) but not with sporadic GGE (OR = 1.3, 95 CI = .9–1.9, FDR-adjusted p = .19). Significance URVs in GABRG2 are likely an important risk factor for familial GGE. The association of gene sets of GABAergic signaling with familial GGE is more prominent than with sporadic GGE.
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Disciplines :
Neurology
Genetics & genetic processes
Author, co-author :
Koko, Mahmoud
Motelow, Joshua E.
Stanley, Kate E.
Bobbili, Dheeraj Reddy ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core
Dhindsa, Ryan S.
May, Patrick  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core
Network, Canadian Epilepsy
Consortium, Epi K.
Project, Epilepsy Phenome Genome
Consortium, Epipgx
Consortium, Euroepinomics-Cogie
External co-authors :
yes
Language :
English
Title :
Association of ultra-rare coding variants with genetic generalized epilepsy: A case–control whole exome sequencing study
Publication date :
15 January 2022
Journal title :
Epilepsia
ISSN :
1528-1167
Publisher :
Blackwell, Oxford, United Kingdom
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Systems Biomedicine
FnR Project :
FNR11583046 - Epileptogenesis Of Genetic Epilepsies, 2017 (01/04/2018-30/06/2021) - Roland Krause
Name of the research project :
MechEPI
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 15 January 2022

Statistics


Number of views
64 (0 by Unilu)
Number of downloads
53 (0 by Unilu)

Scopus citations®
 
10
Scopus citations®
without self-citations
5
OpenCitations
 
3
WoS citations
 
10

Bibliography


Similar publications



Contact ORBilu