The identification of blood-derived response eQTLs reveals complex effects of regulatory variants on inflammatory and infectious disease risk.

IF 4 2区 生物学 Q1 GENETICS & HEREDITY
PLoS Genetics Pub Date : 2025-04-10 eCollection Date: 2025-04-01 DOI:10.1371/journal.pgen.1011599
Claire Liefferinckx, David Stern, Hélène Perée, Jérémie Bottieau, Alice Mayer, Christophe Dubussy, Eric Quertinmont, Vjola Tafciu, Charlotte Minsart, Vyacheslav Petrov, Alex Kvasz, Wouter Coppieters, Latifa Karim, Souad Rahmouni, Michel Georges, Denis Franchimont
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引用次数: 0

Abstract

Hundreds of risk loci for immune mediated inflammatory and infectious diseases have been identified by genome-wide association studies (GWAS). Yet, what causal variants and genes in risk loci underpin the observed associations remains poorly understood for most. The identification of colocalized cis-expression Quantitative Trait Loci (cis-eQTLs) is a promising way to identify candidate causative genes. The catalogue of cis-eQTLs of the immune system is likely incomplete as many cis-eQTLs may be context-specific. We built a large cohort of 406 healthy individuals and expanded the immune cis-regulome through their whole blood transcriptome obtained after stimulation with specific toll-like receptor (TLR) agonists and T-cell receptor (TCR) antagonist. We report three mechanisms that may explain why an eQTL could only be revealed after immune stimulation. More than half of the cis-eQTLs detected in this study would have been overlooked without specific immune stimulations. We then mined this new catalogue of response (r)eQTLs, with public GWAS summary statistics of three diseases through a colocalization approach: inflammatory bowel diseases, rheumatoid arthritis and COVID-19 disease. We identified reQTL-specific colocalizations for risk loci for which no matching eQTL were reported before, revealing interesting new candidate causal genes.

血源性应答eqtl的鉴定揭示了调节变异对炎症和感染性疾病风险的复杂影响。
全基因组关联研究(GWAS)已经确定了数百个免疫介导的炎症和传染病的风险位点。然而,对于大多数人来说,什么因果变异和风险位点上的基因支持观察到的关联仍然知之甚少。共定位顺式表达数量性状位点(cis-eQTLs)的鉴定是鉴定候选致病基因的一种很有前途的方法。免疫系统的顺式- eqtl的目录可能是不完整的,因为许多顺式- eqtl可能是环境特异性的。我们建立了一个由406名健康个体组成的大队列,并通过特异性toll样受体(TLR)激动剂和t细胞受体(TCR)拮抗剂刺激后获得的全血转录组扩增免疫顺式规则组。我们报告了三种可能解释为什么eQTL只能在免疫刺激后被揭示的机制。如果没有特异性免疫刺激,本研究中检测到的cis- eqtl中有一半以上会被忽略。然后,我们通过共定位方法,利用公共GWAS对三种疾病(炎症性肠病、类风湿性关节炎和COVID-19疾病)的汇总统计数据,挖掘了新的反应(r) eqtl目录。我们确定了以前没有报道过匹配eQTL的风险位点的reqtl特异性共定位,揭示了有趣的新候选因果基因。
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来源期刊
PLoS Genetics
PLoS Genetics GENETICS & HEREDITY-
自引率
2.20%
发文量
438
期刊介绍: PLOS Genetics is run by an international Editorial Board, headed by the Editors-in-Chief, Greg Barsh (HudsonAlpha Institute of Biotechnology, and Stanford University School of Medicine) and Greg Copenhaver (The University of North Carolina at Chapel Hill). Articles published in PLOS Genetics are archived in PubMed Central and cited in PubMed.
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