Association Analysis of Candidate Variants in Admixed Brazilian Patients With Genetic Generalized Epilepsies.

admixed population association studies genetic generalized epilepsies neurology population genomics

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2021
Historique:
received: 25 02 2021
accepted: 11 06 2021
entrez: 26 7 2021
pubmed: 27 7 2021
medline: 27 7 2021
Statut: epublish

Résumé

Genetic generalized epilepsies (GGEs) include well-established epilepsy syndromes with generalized onset seizures: childhood absence epilepsy, juvenile myoclonic epilepsy (JME), juvenile absence epilepsy (JAE), myoclonic absence epilepsy, epilepsy with eyelid myoclonia (Jeavons syndrome), generalized tonic-clonic seizures, and generalized tonic-clonic seizures alone. Genome-wide association studies (GWASs) and exome sequencing have identified 48 single-nucleotide polymorphisms (SNPs) associated with GGE. However, these studies were mainly based on non-admixed, European, and Asian populations. Thus, it remains unclear whether these results apply to patients of other origins. This study aims to evaluate whether these previous results could be replicated in a cohort of admixed Brazilian patients with GGE. We obtained SNP-array data from 87 patients with GGE, compared with 340 controls from the BIPMed public dataset. We could directly access genotypes of 17 candidate SNPs, available in the SNP array, and the remaining 31 SNPs were imputed using the BEAGLE v5.1 software. We performed an association test by logistic regression analysis, including the first five principal components as covariates. Furthermore, to expand the analysis of the candidate regions, we also interrogated 14,047 SNPs that flank the candidate SNPs (1 Mb). The statistical power was evaluated in terms of odds ratio and minor allele frequency (MAF) by the genpwr package. Differences in SNP frequencies between Brazilian and Europeans, sub-Saharan African, and Native Americans were evaluated by a two-proportion Z-test. We identified nine flanking SNPs, located on eight candidate regions, which presented association signals that passed the Bonferroni correction (rs12726617; rs9428842; rs1915992; rs1464634; rs6459526; rs2510087; rs9551042; rs9888879; and rs8133217;

Identifiants

pubmed: 34306016
doi: 10.3389/fgene.2021.672304
pmc: PMC8297412
doi:

Types de publication

Journal Article

Langues

eng

Pagination

672304

Informations de copyright

Copyright © 2021 Kaibara, de Araujo, Araujo, Alvim, Yasuda, Cendes, Lopes-Cendes and Secolin.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Felipe S Kaibara (FS)

Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil.

Tânia K de Araujo (TK)

Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil.

Patricia A O R A Araujo (PAORA)

Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil.

Marina K M Alvim (MKM)

Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil.
Department of Neurology, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil.

Clarissa L Yasuda (CL)

Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil.
Department of Neurology, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil.

Fernando Cendes (F)

Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil.
Department of Neurology, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil.

Iscia Lopes-Cendes (I)

Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil.

Rodrigo Secolin (R)

Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil.

Classifications MeSH