Sex-specific analysis in Behçet's disease reveals higher genetic risk in male patients.
Behçet's disease
GWAS
Genetics
HLA class I
MHC
Sex-bias
Journal
Journal of autoimmunity
ISSN: 1095-9157
Titre abrégé: J Autoimmun
Pays: England
ID NLM: 8812164
Informations de publication
Date de publication:
10 2022
10 2022
Historique:
received:
23
06
2022
revised:
17
07
2022
accepted:
20
07
2022
pubmed:
21
8
2022
medline:
23
11
2022
entrez:
20
8
2022
Statut:
ppublish
Résumé
Behçet's disease tends to be more severe in men than women. This study was undertaken to investigate sex-specific genetic effects in Behçet's disease. A total of 1762 male and 1216 female patients with Behçet's disease from six diverse populations were studied, with the majority of patients of Turkish origin. Genotyping was performed using an Infinium ImmunoArray-24 BeadChip, or extracted from available genotyping data. Following imputation and extensive quality control measures, genome-wide association analysis was performed comparing male to female patients in the Turkish cohort, followed by a meta-analysis of significant results in all six populations. In addition, a weighted genetic risk score for Behçet's disease was calculated and compared between male and female patients. Genetic association analysis comparing male to female patients with Behçet's disease from Turkey revealed an association with male sex in HLA-B/MICA within the HLA region with a GWAS level of significance (rs2848712, OR = 1.46, P = 1.22 × 10 Male patients with Behçet's disease are characterized by higher genetic risk compared to female patients. This genetic difference, primarily derived from our Turkish cohort, is largely explained by risk within the HLA region. These data suggest that genetic factors might contribute to differences in disease presentation between men and women with Behçet's disease.
Identifiants
pubmed: 35987173
pii: S0896-8411(22)00090-7
doi: 10.1016/j.jaut.2022.102882
pmc: PMC10614427
mid: NIHMS1938625
pii:
doi:
Substances chimiques
HLA-C Antigens
0
Types de publication
Meta-Analysis
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
102882Subventions
Organisme : NIAMS NIH HHS
ID : R01 AR070148
Pays : United States
Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors have declared that no conflict of interest exists.
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