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Archives of Dermatological Research

, Volume 311, Issue 4, pp 277–285 | Cite as

HLA-A*01:01 in MHC is associated with psoriatic arthritis in Chinese Han population

  • Jingjing Chen
  • Fan Yang
  • Yan Zhang
  • Xing FanEmail author
  • Hui Xiao
  • Wenjun Qian
  • Yuling Chang
  • Xianbo Zuo
  • Xiaodong Zheng
  • Bo Liang
  • Yuanjing Zhang
  • Liangdan Sun
  • Sen Yang
  • Xuejun Zhang
Original Paper

Abstract

To verify whether PsA-associated HLA alleles proposed in other populations are also related to PsA in Chinese Han population, a study of PsA susceptible alleles in the HLA-A, HLA-B, HLA-C and HLA-DRB1 alleles was presented for Chinese Han population. Genotyping was performed by Illumina Miseq platform (Illumina, USA). 50 subtypes and 77 subtypes of HLA-A, HLA-B, HLA-C and HLA-DRB1 with minor allele frequency (MAF) > 1% were genotyped from two-digit and four-digit resolution analysis in 111 PsA and 207 HCs (healthy controls) collected from Chinese Han population, respectively. Data handling, quality control and association analysis were performed using SPSS 25.0 software. In risk estimate, by mean of Bonferroni correction, a newfound four-digit allele HLA-A*01:01 [P = 5.5 × 10−4, OR 3.35 (1.69–6.66)], four-digit allele HLA-C*06:02 [P = 8.5 × 10−7, OR 3.80 (2.23–6.47)] and six two-digit alleles HLA-A*01 [P = 5.2 × 10−5, OR 3.43 (1.89–6.23)], HLA-B*13 [P = 4.0 × 10−6, OR 2.65 (1.76–4.01)], HLA-B*27 [P = 7.5 × 10−4, OR 5.84 (2.09–16.29)], HLA-B*57 [P = 5.8 × 10−5, OR 20.10 (4.65–86.83)], HLA-C*03 [P = 2.1 × 10−4, OR 0.40 (0.25–0.65)], HLA-C*06 [P = 1.9 × 10−12, OR 4.48 (2.95–6.81)] showed statistical significance by the univariate binary logistic regression analysis. Besides, in the binary logistic regression analysis with multiple variables, when the two alleles HLA-A*01:01 and HLA-C*06:02 were considered as covariates, HLA-A*01:01 [P = 2.7 × 10−3,OR 2.95 (1.46–5.98)] also showed significant association for PsA as risk factor, but may be not the main risk factor [HLA-C*06:02, P = 3.0 × 10−6, OR 3.68 (2.13–6.37)]. When all the above two-digit alleles were included as covariates, HLA-A*01 [P = 4.8 × 10−2, OR 2.00 (1.01–3.94)], HLA-B*13 [P = 4.2 × 10−5, OR 2.62 (1.65–4.16)], HLA-B*27 [P = 1.7 × 10−4, OR 7.62 (2.64–21.96)], HLA-B*57 [P = 2.97 × 10−4, OR 15.90 (3.55–71.18)], HLA-C*06 [P = 6.1 × 10−5, OR 2.70 (1.66–4.40)] showed significant for PsA as risk factors, HLA-C*03 [OR 0.65 (0.39–1.09), P = 0.10] showed no association with PsA. In conclusion, we assessed HLA-A, HLA-B, HLA-C and HLA-DRB1 alleles in PsA cohort of Chinese Han population, found HLA-A*01:01 and HLA-A*01 may be the susceptible genes associated with PsA, and also confirmed the association of four loci with PsA in Chinese Han population. These findings may extend the susceptibility HLA alleles of PsA and help in developing possible genetic markers to predict PsA.

Keywords

Psoriatic arthritis HLA-A*01:01 allele Chinese Han population Human leucocyte antigen Genetics 

Abbreviations

PsA

Psoriatic arthritis

PsC

Cutaneous psoriasis

PsV

Psoriasis vulgaris

GWAS

Genome-wide association studies

HLA

Human leucocyte antigen

MHC

Major histocompatibility complex

HC

Healthy control

Notes

Acknowledgements

The authors benefited from the following research grants: National Natural Science Foundation of China (81273301, 81271747, 31671307). We are most grateful to the patients with PsA and the healthy controls who so willingly participated in this study. We greatly appreciate all the staff of our Institute of Dermatology for who contributed to this work.

Funding

National Natural Science Foundation of China (31671307, 81273301, 81271747).

Compliance with ethical standards

Conflict of interest

The authors have no conflict of interest to declare.

Ethical approval

This study was approved by the Ethics Committee of AnHui Medical University, and conducted according to Declaration of Helsinki principles.

Informed consent

The participants provided written informed consent.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Jingjing Chen
    • 1
    • 2
  • Fan Yang
    • 1
    • 2
  • Yan Zhang
    • 1
    • 2
  • Xing Fan
    • 1
    • 2
    Email author
  • Hui Xiao
    • 3
  • Wenjun Qian
    • 1
    • 2
  • Yuling Chang
    • 1
    • 2
  • Xianbo Zuo
    • 1
    • 2
  • Xiaodong Zheng
    • 1
    • 2
  • Bo Liang
    • 1
    • 2
  • Yuanjing Zhang
    • 1
    • 2
  • Liangdan Sun
    • 1
    • 2
  • Sen Yang
    • 1
    • 2
  • Xuejun Zhang
    • 1
    • 2
  1. 1.Department of DermatologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
  2. 2.Institute of DermatologyAnhui Medical UniversityHefeiChina
  3. 3.Department of Rheumatology and ImmunologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina

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