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

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 su...

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Autores principales: Cao, Lu, Zhang, Ruixue, Wang, Yirui, Hu, Xia, Yong, Liang, Li, Bao, Ge, Huiyao, Chen, Weiwei, Zhen, Qi, Yu, Yafen, Mao, Yiwen, Li, Zhuo, Fan, Wencheng, Sun, Liangdan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784546/
https://www.ncbi.nlm.nih.gov/pubmed/35082778
http://dx.doi.org/10.3389/fimmu.2021.758652
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author Cao, Lu
Zhang, Ruixue
Wang, Yirui
Hu, Xia
Yong, Liang
Li, Bao
Ge, Huiyao
Chen, Weiwei
Zhen, Qi
Yu, Yafen
Mao, Yiwen
Li, Zhuo
Fan, Wencheng
Sun, Liangdan
author_facet Cao, Lu
Zhang, Ruixue
Wang, Yirui
Hu, Xia
Yong, Liang
Li, Bao
Ge, Huiyao
Chen, Weiwei
Zhen, Qi
Yu, Yafen
Mao, Yiwen
Li, Zhuo
Fan, Wencheng
Sun, Liangdan
author_sort Cao, Lu
collection PubMed
description 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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spelling pubmed-87845462022-01-25 Fine Mapping Analysis of the MHC Region to Identify Variants Associated With Chinese Vitiligo and SLE and Association Across These Diseases Cao, Lu Zhang, Ruixue Wang, Yirui Hu, Xia Yong, Liang Li, Bao Ge, Huiyao Chen, Weiwei Zhen, Qi Yu, Yafen Mao, Yiwen Li, Zhuo Fan, Wencheng Sun, Liangdan Front Immunol Immunology 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. Frontiers Media S.A. 2022-01-10 /pmc/articles/PMC8784546/ /pubmed/35082778 http://dx.doi.org/10.3389/fimmu.2021.758652 Text en Copyright © 2022 Cao, Zhang, Wang, Hu, Yong, Li, Ge, Chen, Zhen, Yu, Mao, Li, Fan and Sun https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Cao, Lu
Zhang, Ruixue
Wang, Yirui
Hu, Xia
Yong, Liang
Li, Bao
Ge, Huiyao
Chen, Weiwei
Zhen, Qi
Yu, Yafen
Mao, Yiwen
Li, Zhuo
Fan, Wencheng
Sun, Liangdan
Fine Mapping Analysis of the MHC Region to Identify Variants Associated With Chinese Vitiligo and SLE and Association Across These Diseases
title Fine Mapping Analysis of the MHC Region to Identify Variants Associated With Chinese Vitiligo and SLE and Association Across These Diseases
title_full Fine Mapping Analysis of the MHC Region to Identify Variants Associated With Chinese Vitiligo and SLE and Association Across These Diseases
title_fullStr Fine Mapping Analysis of the MHC Region to Identify Variants Associated With Chinese Vitiligo and SLE and Association Across These Diseases
title_full_unstemmed Fine Mapping Analysis of the MHC Region to Identify Variants Associated With Chinese Vitiligo and SLE and Association Across These Diseases
title_short Fine Mapping Analysis of the MHC Region to Identify Variants Associated With Chinese Vitiligo and SLE and Association Across These Diseases
title_sort fine mapping analysis of the mhc region to identify variants associated with chinese vitiligo and sle and association across these diseases
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784546/
https://www.ncbi.nlm.nih.gov/pubmed/35082778
http://dx.doi.org/10.3389/fimmu.2021.758652
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