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Immunogenomic approaches to understand the function of immune disease variants

机译:免疫原性方法,了解免疫疾病变异的功能

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Mapping hundreds of genetic variants through genome wide association studies provided an opportunity to gain insights into the pathobiology of immune-mediated diseases. However, as most of the disease variants fall outside the gene coding sequences the functional interpretation of the exact role of the associated variants remains to be determined. The integration of disease-associated variants with large scale genomic maps of cell-type-specific gene regulation at both chromatin and transcript levels deliver examples of functionally prioritized causal variants and genes. In particular, the enrichment of disease variants with histone marks can point towards the cell types most relevant to disease development. Furthermore, chromatin contact maps that link enhancers to promoter regions in a direct way allow the identification of genes that can be regulated by the disease variants. Candidate genes implicated with such approaches can be further examined through the correlation of gene expression with genotypes. Additionally, in the context of immune-mediated diseases it is important to combine genomics with immunology approaches. Genotype correlations with the immune system as a whole, as well as with cellular responses to different stimuli, provide a valuable platform for understanding the functional impact of disease-associated variants. The intersection of immunogenomic resources with disease-associated variants paints a detailed picture of disease causal mechanisms. Here, we provide an overview of recent studies that combine these approaches to identify disease vulnerable pathways.
机译:通过基因组的宽协会研究绘制数百种遗传变异,提供了进入免疫介导的疾病的病理学洞察力的有识之能力的机会。然而,由于大多数疾病变体落在基因编码序列之外,所以相关变体的确切作用的功能解释仍有待确定。在染色蛋白和转录水平的大规模基因组法中与大规模基因组图的整合染色质和转录物水平的疾病相关变体递送了功能优先考虑的因果变体和基因的实例。特别是,具有组蛋白标记的富集疾病变体可以指向与疾病发展最相关的细胞类型。此外,染色质联系地图将增强剂以直接方式连接到启动子区域,允许鉴定可由疾病变异调节的基因。通过基因表达与基因型的相关性,可以进一步检查含有这种方法的候选基因。另外,在免疫介导的疾病的背景下,将基因组学与免疫学方法结合起来非常重要。与免疫系统的基因型相关性,以及对不同刺激的细胞反应,提供了理解疾病相关变种功能影响的有价值的平台。疾病相关变体的免疫因素资源绘制了疾病因果机制的详细情况。在这里,我们概述了最近的研究,这些研究结合了这些方法来识别疾病脆弱的途径。

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