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使用协变量分析和单倍型模块对主要组织相容性复合体基因关联进行深入分析,揭示了艾滋病精英控制分子病因的新机制。

Deep analysis of the major histocompatibility complex genetic associations using covariate analysis and haploblocks unravels new mechanisms for the molecular etiology of Elite Control in AIDS.

作者信息

Rahmouni Myriam, Clerc Sigrid Le, Spadoni Jean-Louis, Labib Taoufik, Tison Maxime, Medina-Santos Raissa, Bensussan Armand, Tamouza Ryad, Deleuze Jean-François, Zagury Jean-François

机构信息

Laboratoire Génomique, Bioinformatique, et Chimie Moléculaire, Conservatoire National des Arts et Métiers, 2 rue Conté 75003, Paris, EA7528, France.

Unité INSERM U976, Hôpital Saint-Louis, Paris, France.

出版信息

BMC Immunol. 2025 Jan 6;26(1):1. doi: 10.1186/s12865-024-00680-6.

Abstract

INTRODUCTION

We have reanalyzed the genomic data from the International Collaboration for the Genomics of HIV (ICGH), focusing on HIV-1 Elite Controllers (EC).

METHODS

A genome-wide association study (GWAS) was performed, comparing 543 HIV-1 EC individuals with 3,272 uninfected controls (CTR) of European ancestry. 8 million single nucleotide polymorphisms (SNPs) and HLA class I and class II gene alleles were imputed to compare EC and CTR.

RESULTS

Two thousand six hundred twenty-six SNPs were associated with EC (p<5.10-8), all located within the Major Histocompatibility Complex (MHC) region. Stepwise regression analysis narrowed this list to 17 SNPs. In parallel, 22 HLA class I and II alleles were associated with EC. Through meticulous mapping of the LD between all identified signals and employing reciprocal covariate analyses, we delineated a final set of 6 independent SNPs and 3 HLA class I gene alleles that accounted for most of the associations observed with EC. Our study revealed the presence of cumulative haploblock effects (SNP rs9264942 contributing to the HLA-B57:01 effect) and that several HLA allele associations were in fact caused by SNPs in linkage disequilibrium (LD). Upon investigating SNPs in LD with the selected 6 SNPs and 3 HLA class I alleles for their impact on protein function (either damaging or differential expression), we identified several compelling mechanisms potentially explaining EC among which: a multi-action mechanism of HLA-B57:01 involving MICA mutations and MICB differential expression overcoming the HIV-1 blockade of NK cell response, and overexpression of ZBTB12 with a possible anti-HIV-1 effect through HERV-K interference; a deleterious mutation in PPP1R18 favoring viral budding associated with rs1233396.

CONCLUSION

Our results show that MHC influence on EC likely extends beyond traditional HLA class I or class II allele associations, encompassing other MHC SNPs with various biological impacts. They point to the key role of NK cells in preventing HIV-1 infection. Our analysis shows that HLA-B*57:01 is indeed associated with partially functional MICA/MICB proteins which could also explain this marker's involvement in other diseases such as psoriasis. More broadly, our findings suggest that within any HLA class I and II association in diseases, there may exist distinct causal SNPs within this crucial, gene-rich, and LD-rich MHC region.

摘要

引言

我们重新分析了来自国际HIV基因组学协作组(ICGH)的基因组数据,重点关注HIV-1精英控制者(EC)。

方法

进行了一项全基因组关联研究(GWAS),将543名HIV-1精英控制者个体与3272名欧洲血统的未感染对照者(CTR)进行比较。推算出800万个单核苷酸多态性(SNP)以及HLA I类和II类基因等位基因,以比较精英控制者和对照者。

结果

2626个SNP与精英控制者相关(p<5×10⁻⁸),均位于主要组织相容性复合体(MHC)区域内。逐步回归分析将该列表缩小至17个SNP。同时,22个HLA I类和II类等位基因与精英控制者相关。通过对所有已识别信号之间的连锁不平衡进行精细定位,并采用相互协变量分析,我们确定了一组最终的6个独立SNP和3个HLA I类基因等位基因,它们解释了与精英控制者相关的大部分关联。我们的研究揭示了累积单倍型块效应(SNP rs9264942对HLA-B57:01效应有贡献),并且几个HLA等位基因关联实际上是由连锁不平衡(LD)中的SNP引起的。在研究与选定的6个SNP和3个HLA I类等位基因处于连锁不平衡状态的SNP对蛋白质功能的影响(无论是破坏性还是差异表达)时,我们确定了几种可能解释精英控制者现象的引人注目的机制,其中包括:HLA-B57:01的多作用机制,涉及MICA突变和MICB差异表达,克服了HIV-1对NK细胞反应的阻断,以及ZBTB12的过表达,可能通过HERV-K干扰产生抗HIV-1作用;PPP1R18中的有害突变有利于与rs1233396相关的病毒出芽。

结论

我们的结果表明,MHC对精英控制者的影响可能超出传统的HLA I类或II类等位基因关联,还包括其他具有各种生物学影响的MHC SNP。它们指出了NK细胞在预防HIV-1感染中的关键作用。我们的分析表明,HLA-B*57:01确实与部分功能性的MICA/MICB蛋白相关,这也可以解释该标志物在其他疾病如牛皮癣中的作用。更广泛地说,我们的研究结果表明,在任何疾病中HLA I类和II类关联内,在这个关键的、基因丰富且LD丰富的MHC区域内可能存在不同的因果SNP。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ae/11702083/0b796ba1cbf1/12865_2024_680_Fig1_HTML.jpg

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