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通过全基因组关联策略鉴定与系统性硬化症临床表型相关的新型遗传标志物。

Identification of novel genetic markers associated with clinical phenotypes of systemic sclerosis through a genome-wide association strategy.

机构信息

Department of Epidemiology, M. D. Anderson Cancer Center, Houston, Texas, USA.

出版信息

PLoS Genet. 2011 Jul;7(7):e1002178. doi: 10.1371/journal.pgen.1002178. Epub 2011 Jul 14.

Abstract

The aim of this study was to determine, through a genome-wide association study (GWAS), the genetic components contributing to different clinical sub-phenotypes of systemic sclerosis (SSc). We considered limited (lcSSc) and diffuse (dcSSc) cutaneous involvement, and the relationships with presence of the SSc-specific auto-antibodies, anti-centromere (ACA), and anti-topoisomerase I (ATA). Four GWAS cohorts, comprising 2,296 SSc patients and 5,171 healthy controls, were meta-analyzed looking for associations in the selected subgroups. Eighteen polymorphisms were further tested in nine independent cohorts comprising an additional 3,175 SSc patients and 4,971 controls. Conditional analysis for associated SNPs in the HLA region was performed to explore their independent association in antibody subgroups. Overall analysis showed that non-HLA polymorphism rs11642873 in IRF8 gene to be associated at GWAS level with lcSSc (P = 2.32×10(-12), OR = 0.75). Also, rs12540874 in GRB10 gene (P = 1.27 × 10(-6), OR = 1.15) and rs11047102 in SOX5 gene (P = 1.39×10(-7), OR = 1.36) showed a suggestive association with lcSSc and ACA subgroups respectively. In the HLA region, we observed highly associated allelic combinations in the HLA-DQB1 locus with ACA (P = 1.79×10(-61), OR = 2.48), in the HLA-DPA1/B1 loci with ATA (P = 4.57×10(-76), OR = 8.84), and in NOTCH4 with ACA P = 8.84×10(-21), OR = 0.55) and ATA (P = 1.14×10(-8), OR = 0.54). We have identified three new non-HLA genes (IRF8, GRB10, and SOX5) associated with SSc clinical and auto-antibody subgroups. Within the HLA region, HLA-DQB1, HLA-DPA1/B1, and NOTCH4 associations with SSc are likely confined to specific auto-antibodies. These data emphasize the differential genetic components of subphenotypes of SSc.

摘要

本研究旨在通过全基因组关联研究(GWAS),确定导致系统性硬化症(SSc)不同临床亚表型的遗传成分。我们考虑了局限性(lcSSc)和弥漫性(dcSSc)皮肤受累,以及与 SSc 特异性自身抗体抗着丝点(ACA)和抗拓扑异构酶 I(ATA)的关系。对包含 2296 名 SSc 患者和 5171 名健康对照的四个 GWAS 队列进行了荟萃分析,以寻找所选亚组中的关联。进一步在包含 3175 名 SSc 患者和 4971 名对照的九个独立队列中测试了 18 个多态性。对 HLA 区域中与关联 SNP 进行条件分析,以探讨其在抗体亚组中的独立关联。总体分析表明,IRF8 基因中的非 HLA 多态性 rs11642873 与 lcSSc 在 GWAS 水平相关(P=2.32×10(-12),OR=0.75)。此外,GRB10 基因中的 rs12540874(P=1.27×10(-6),OR=1.15)和 SOX5 基因中的 rs11047102(P=1.39×10(-7),OR=1.36)与 lcSSc 和 ACA 亚组分别呈提示性关联。在 HLA 区域,我们观察到 HLA-DQB1 基因座与 ACA(P=1.79×10(-61),OR=2.48)、HLA-DPA1/B1 基因座与 ATA(P=4.57×10(-76),OR=8.84)以及 NOTCH4 与 ACA(P=8.84×10(-21),OR=0.55)和 ATA(P=1.14×10(-8),OR=0.54)存在高度相关的等位基因组合。我们已经确定了三个与 SSc 临床和自身抗体亚组相关的新的非 HLA 基因(IRF8、GRB10 和 SOX5)。在 HLA 区域内,HLA-DQB1、HLA-DPA1/B1 和 NOTCH4 与 SSc 的关联可能仅限于特定的自身抗体。这些数据强调了 SSc 亚表型的不同遗传成分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb05/3136437/603853a1c4b5/pgen.1002178.g001.jpg

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