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A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis

机译:系统生物学方法揭示多发性硬化症中遗传关联的细胞特异性基因调控作用

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Genome-wide association studies (GWAS) have identified more than 50,000 unique associations with common human traits. While this represents a substantial step forward, establishing the biology underlying these associations has proven extremely difficult. Even determining which cell types and which particular gene(s) are relevant continues to be a challenge. Here, we conduct a cell-specific pathway analysis of the latest GWAS in multiple sclerosis (MS), which had analyzed a total of 47,351 cases and 68,284 healthy controls and found more than 200 non-MHC genome-wide associations. Our analysis identifies pan immune cell as well as cell-specific susceptibility genes in T cells, B cells and monocytes. Finally, genotype-level data from 2,370 patients and 412 controls is used to compute intra-individual and cell-specific susceptibility pathways that offer a biological interpretation of the individual genetic risk to MS. This approach could be adopted in any other complex trait for which genome-wide data is available.
机译:全基因组关联研究(GWAS)已鉴定出超过50,000个具有共同人类特征的独特关联。尽管这代表了向前迈出的实质性步伐,但事实证明,建立这些关联的生物学基础极为困难。即使确定哪些细胞类型和哪些特定基因是相关的,仍然是一个挑战。在这里,我们对多发性硬化症(MS)中最新的GWAS进行了细胞特异性途径分析,该研究分析了总共47,351例病例和68,284个健康对照,发现了200多个非MHC基因组范围的关联。我们的分析确定了T细胞,B细胞和单核细胞中的泛免疫细胞以及细胞特异性敏感性基因。最后,使用来自2370位患者和412位对照的基因型水平数据来计算个体内和细胞特异性敏感性途径,这些途径为MS的个体遗传风险提供了生物学解释。该方法可用于可获得全基因组数据的任何其他复杂性状。

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