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靶向基因组分析揭示自身免疫性疾病与肿瘤坏死因子超家族细胞因子信号网络中的调控变异广泛相关。

Targeted genomic analysis reveals widespread autoimmune disease association with regulatory variants in the TNF superfamily cytokine signalling network.

作者信息

Richard Arianne C, Peters James E, Lee James C, Vahedi Golnaz, Schäffer Alejandro A, Siegel Richard M, Lyons Paul A, Smith Kenneth G C

机构信息

Department of Medicine and Cambridge Institute for Medical Research, The University of Cambridge, Box 139, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK.

Autoimmunity Branch, National Institute for Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, 20892, USA.

出版信息

Genome Med. 2016 Jul 19;8(1):76. doi: 10.1186/s13073-016-0329-5.

Abstract

BACKGROUND

Tumour necrosis factor (TNF) superfamily cytokines and their receptors regulate diverse immune system functions through a common set of signalling pathways. Genetic variants in and expression of individual TNF superfamily cytokines, receptors and signalling proteins have been associated with autoimmune and inflammatory diseases, but their interconnected biology has been largely unexplored.

METHODS

We took a hypothesis-driven approach using available genome-wide datasets to identify genetic variants regulating gene expression in the TNF superfamily cytokine signalling network and the association of these variants with autoimmune and autoinflammatory disease. Using paired gene expression and genetic data, we identified genetic variants associated with gene expression, expression quantitative trait loci (eQTLs), in four peripheral blood cell subsets. We then examined whether eQTLs were dependent on gene expression level or the presence of active enhancer chromatin marks. Using these eQTLs as genetic markers of the TNF superfamily signalling network, we performed targeted gene set association analysis in eight autoimmune and autoinflammatory disease genome-wide association studies.

RESULTS

Comparison of TNF superfamily network gene expression and regulatory variants across four leucocyte subsets revealed patterns that differed between cell types. eQTLs for genes in this network were not dependent on absolute gene expression levels and were not enriched for chromatin marks of active enhancers. By examining autoimmune disease risk variants among our eQTLs, we found that risk alleles can be associated with either increased or decreased expression of co-stimulatory TNF superfamily cytokines, receptors or downstream signalling molecules. Gene set disease association analysis revealed that eQTLs for genes in the TNF superfamily pathway were associated with six of the eight autoimmune and autoinflammatory diseases examined, demonstrating associations beyond single genome-wide significant hits.

CONCLUSIONS

This systematic analysis of the influence of regulatory genetic variants in the TNF superfamily network reveals widespread and diverse roles for these cytokines in susceptibility to a number of immune-mediated diseases.

摘要

背景

肿瘤坏死因子(TNF)超家族细胞因子及其受体通过一套共同的信号通路调节多种免疫系统功能。单个TNF超家族细胞因子、受体及信号蛋白的基因变异和表达与自身免疫性疾病及炎症性疾病相关,但其相互关联的生物学机制在很大程度上尚未得到探索。

方法

我们采用基于假设的方法,利用现有的全基因组数据集,识别调节TNF超家族细胞因子信号网络中基因表达的遗传变异,以及这些变异与自身免疫性疾病和自身炎症性疾病的关联。利用配对的基因表达和遗传数据,我们在四个外周血细胞亚群中识别出与基因表达相关的遗传变异,即表达数量性状位点(eQTL)。然后,我们研究了eQTL是否依赖于基因表达水平或活性增强子染色质标记的存在。利用这些eQTL作为TNF超家族信号网络的遗传标记,我们在八项自身免疫性和自身炎症性疾病全基因组关联研究中进行了靶向基因集关联分析。

结果

对四个白细胞亚群中TNF超家族网络基因表达和调控变异的比较揭示了不同细胞类型之间存在差异的模式。该网络中基因的eQTL不依赖于绝对基因表达水平,也未富集活性增强子的染色质标记。通过检查我们的eQTL中的自身免疫性疾病风险变异,我们发现风险等位基因可能与共刺激TNF超家族细胞因子、受体或下游信号分子的表达增加或减少相关。基因集疾病关联分析表明,TNF超家族通路中基因的eQTL与所研究的八项自身免疫性和自身炎症性疾病中的六项相关,表明关联超出了单个全基因组显著位点。

结论

对TNF超家族网络中调控遗传变异影响的系统分析揭示了这些细胞因子在多种免疫介导疾病易感性中的广泛多样作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7df/4952362/325422f54a1f/13073_2016_329_Fig1_HTML.jpg

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