Ortiz-Fernández, L, Carmona, FD, López-Mejías, R et al. (14 more authors) (2018) Cross-phenotype analysis of Immunochip data identifies KDM4C as a relevant locus for the development of systemic vasculitis. Annals of the Rheumatic Diseases, 77 (4). pp. 589-595. ISSN 0003-4967
Abstract
Objective: Systemic vasculitides represent a heterogeneous group of rare complex diseases of the blood vessels with a poorly understood aetiology. To investigate the shared genetic component underlying their predisposition, we performed the first cross-phenotype meta-analysis of genetic data from different clinically distinct patterns of vasculitis.
Methods: Immunochip genotyping data from 2465 patients diagnosed with giant cell arteritis, Takayasu’s arteritis, antineutrophil cytoplasmic antibody-associated vasculitis or IgA vasculitis as well as 4632 unaffected controls were analysed to identify common susceptibility loci for vasculitis development. The possible functional consequences of the associated variants were interrogated using publicly available annotation data.
Results: The strongest association signal corresponded with an intergenic polymorphism located between HLA-DQB1 and HLA-DQA2 (rs6932517, P=4.16E-14, OR=0.74). This single nucleotide polymorphism is in moderate linkage disequilibrium with the disease-specific human leucocyte antigen (HLA) class II associations of each type of vasculitis and could mark them. Outside the HLA region, we identified the KDM4C gene as a common risk locus for vasculitides (highest peak rs16925200, P=6.23E-07, OR=1.75). This gene encodes a histone demethylase involved in the epigenetic control of gene expression.
Conclusions: Through a combined analysis of Immunochip data, we have identified KDM4C as a new risk gene shared between systemic vasculitides, consistent with the increasing evidences of the crucial role that the epigenetic mechanisms have in the development of complex immune-mediated conditions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, Article author(s) (or their employer(s) unless otherwise stated in the text of the article). This is an author produced version of a paper published in Annals of the Rheumatic Diseases. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Discovery & Translational Science Dept (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Dec 2017 13:13 |
Last Modified: | 21 Sep 2020 12:30 |
Status: | Published |
Publisher: | BMJ Publishing Group |
Identification Number: | 10.1136/annrheumdis-2017-212372 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:124923 |