Analysis of the genetic component of systemic sclerosis in Iranian and Turkish populations through a genome-wide association study.


Journal

Rheumatology (Oxford, England)
ISSN: 1462-0332
Titre abrégé: Rheumatology (Oxford)
Pays: England
ID NLM: 100883501

Informations de publication

Date de publication:
01 02 2019
Historique:
received: 25 04 2018
pubmed: 25 9 2018
medline: 26 11 2019
entrez: 25 9 2018
Statut: ppublish

Résumé

SSc is an autoimmune disease characterized by alteration of the immune response, vasculopathy and fibrosis. Most genetic studies on SSc have been performed in European-ancestry populations. The aim of this study was to analyse the genetic component of SSc in Middle Eastern patients from Iran and Turkey through a genome-wide association study. This study analysed data from a total of 834 patients diagnosed with SSc and 1455 healthy controls from Iran and Turkey. DNA was genotyped using high-throughput genotyping platforms. The data generated were imputed using the Michigan Imputation Server, and the Haplotype Reference Consortium as a reference panel. A meta-analysis combining both case-control sets was conducted by the inverse variance method. The highest peak of association belonged to the HLA region in both the Iranian and Turkish populations. Strong and independent associations between the classical alleles HLA-DRB1*11: 04 [P = 2.10 × 10-24, odds ratio (OR) = 3.14] and DPB1*13: 01 (P = 5.37 × 10-14, OR = 5.75) and SSc were observed in the Iranian population. HLA-DRB1*11: 04 (P = 4.90 × 10-11, OR = 2.93) was the only independent signal associated in the Turkish cohort. An omnibus test yielded HLA-DRB1 58 and HLA-DPB1 76 as relevant amino acid positions for this disease. Concerning the meta-analysis, we also identified two associations close to the genome-wide significance level outside the HLA region, corresponding to IRF5-TNPO3 rs17424921-C (P = 1.34 × 10-7, OR = 1.68) and NFKB1 rs4648133-C (P = 3.11 × 10-7, OR = 1.47). We identified significant associations in the HLA region and suggestive associations in IRF5-TNPO3 and NFKB1 loci in Iranian and Turkish patients affected by SSc through a genome-wide association study and an extensive HLA analysis.

Identifiants

pubmed: 30247649
pii: 5105787
doi: 10.1093/rheumatology/key281
doi:

Substances chimiques

HLA-DP beta-Chains 0
HLA-DPB1 antigen 0
IRF5 protein, human 0
Interferon Regulatory Factors 0

Types de publication

Journal Article Meta-Analysis Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

289-298

Auteurs

David González-Serna (D)

Cell Biology and Immunology Department, Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, Spain.

Elena López-Isac (E)

Cell Biology and Immunology Department, Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, Spain.

Neslihan Yilmaz (N)

Department of Rheumatology, Istanbul Bilim University, Istanbul, Turkey.

Farhad Gharibdoost (F)

Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Ahmadreza Jamshidi (A)

Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Hoda Kavosi (H)

Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Shiva Poursani (S)

Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Faraneh Farsad (F)

Department of Rheumatology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Haner Direskeneli (H)

Division of Rheumatology, Marmara University, Istanbul, Turkey.

Guhrer Saruhan-Direskeneli (G)

Department of Physiology, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.

Sofia Vargas (S)

Cell Biology and Immunology Department, Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, Spain.

Amr H Sawalha (AH)

Division of Rheumatology, Department of Internal Medicine, Ann Arbor MI, USA.
Department of Computational Medicine and Bioinformatics, The Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor MI, USA.

Matthew A Brown (MA)

Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, Queensland, Australia.

Sule Yavuz (S)

Department of Rheumatology, Istanbul Bilim University, Istanbul, Turkey.

Mahdi Mahmoudi (M)

Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Javier Martin (J)

Cell Biology and Immunology Department, Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, Spain.

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Classifications MeSH