Frontiers in Immunology (Jan 2022)

Fine Mapping Analysis of the MHC Region to Identify Variants Associated With Chinese Vitiligo and SLE and Association Across These Diseases

  • Lu Cao,
  • Lu Cao,
  • Lu Cao,
  • Lu Cao,
  • Lu Cao,
  • Ruixue Zhang,
  • Ruixue Zhang,
  • Ruixue Zhang,
  • Ruixue Zhang,
  • Ruixue Zhang,
  • Yirui Wang,
  • Yirui Wang,
  • Yirui Wang,
  • Yirui Wang,
  • Yirui Wang,
  • Xia Hu,
  • Xia Hu,
  • Xia Hu,
  • Xia Hu,
  • Xia Hu,
  • Liang Yong,
  • Liang Yong,
  • Liang Yong,
  • Liang Yong,
  • Liang Yong,
  • Bao Li,
  • Huiyao Ge,
  • Huiyao Ge,
  • Huiyao Ge,
  • Huiyao Ge,
  • Huiyao Ge,
  • Weiwei Chen,
  • Weiwei Chen,
  • Weiwei Chen,
  • Weiwei Chen,
  • Weiwei Chen,
  • Qi Zhen,
  • Qi Zhen,
  • Qi Zhen,
  • Qi Zhen,
  • Qi Zhen,
  • Yafen Yu,
  • Yafen Yu,
  • Yafen Yu,
  • Yafen Yu,
  • Yafen Yu,
  • Yiwen Mao,
  • Yiwen Mao,
  • Yiwen Mao,
  • Yiwen Mao,
  • Yiwen Mao,
  • Zhuo Li,
  • Zhuo Li,
  • Zhuo Li,
  • Zhuo Li,
  • Zhuo Li,
  • Wencheng Fan,
  • Wencheng Fan,
  • Wencheng Fan,
  • Wencheng Fan,
  • Wencheng Fan,
  • Liangdan Sun,
  • Liangdan Sun,
  • Liangdan Sun,
  • Liangdan Sun,
  • Liangdan Sun

DOI
https://doi.org/10.3389/fimmu.2021.758652
Journal volume & issue
Vol. 12

Abstract

Read online

The important role of MHC in the pathogenesis of vitiligo and SLE has been confirmed in various populations. To map the most significant MHC variants associated with the risk of vitiligo and SLE, we conducted fine mapping analysis using 1117 vitiligo cases, 1046 SLE cases and 1693 healthy control subjects in the Han-MHC reference panel and 1000 Genomes Project phase 3. rs113465897 (P=1.03×10-13, OR=1.64, 95%CI =1.44–1.87) and rs3129898 (P=4.21×10-17, OR=1.93, 95%CI=1.66–2.25) were identified as being most strongly associated with vitiligo and SLE, respectively. Stepwise conditional analysis revealed additional independent signals at rs3130969(p=1.48×10-7, OR=0.69, 95%CI=0.60–0.79), HLA-DPB1*03:01 (p=1.07×10-6, OR=1.94, 95%CI=1.49–2.53) being linked to vitiligo and HLA-DQB1*0301 (P=4.53×10-7, OR=0.62, 95%CI=0.52-0.75) to SLE. Considering that epidemiological studies have confirmed comorbidities of vitiligo and SLE, we used the GCTA tool to analyse the genetic correlation between these two diseases in the HLA region, the correlation coefficient was 0.79 (P=5.99×10-10, SE=0.07), confirming their similar genetic backgrounds. Our findings highlight the value of the MHC region in vitiligo and SLE and provide a new perspective for comorbidities among autoimmune diseases.

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