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全基因组相互作用和基于途径的多发性骨髓瘤关键调控因子的鉴定。

Genome-wide interaction and pathway-based identification of key regulators in multiple myeloma.

机构信息

Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.

Faculty of Medicine, University of Heidelberg, Heidelberg, 69117, Germany.

出版信息

Commun Biol. 2019 Mar 4;2:89. doi: 10.1038/s42003-019-0329-2. eCollection 2019.

Abstract

Inherited genetic susceptibility to multiple myeloma has been investigated in a number of studies. Although 23 individual risk loci have been identified, much of the genetic heritability remains unknown. Here we carried out genome-wide interaction analyses on two European cohorts accounting for 3,999 cases and 7,266 controls and characterized genetic susceptibility to multiple myeloma with subsequent meta-analysis that discovered 16 unique interacting loci. These risk loci along with previously known variants explain 17% of the heritability in liability scale. The genes associated with the interacting loci were found to be enriched in transforming growth factor beta signaling and circadian rhythm regulation pathways suggesting immunoglobulin trait modulation, T17 cell differentiation and bone morphogenesis as mechanistic links between the predisposition markers and intrinsic multiple myeloma biology. Further tissue/cell-type enrichment analysis associated the discovered genes with hemic-immune system tissue types and immune-related cell types indicating overall involvement in immune response.

摘要

遗传易感性多发性骨髓瘤已在多项研究中进行了研究。虽然已经确定了 23 个个体风险位点,但大部分遗传易感性仍不清楚。在这里,我们对两个欧洲队列进行了全基因组相互作用分析,该队列包括 3999 例病例和 7266 例对照,并对多发性骨髓瘤的遗传易感性进行了特征分析,随后进行了荟萃分析,发现了 16 个独特的相互作用位点。这些风险位点以及以前已知的变体,在易感性尺度上解释了 17%的可遗传性。与相互作用位点相关的基因在转化生长因子β信号和昼夜节律调节途径中富集,表明免疫球蛋白特征调节、T17 细胞分化和骨形态发生是易感性标志物与多发性骨髓瘤固有生物学之间的机制联系。进一步的组织/细胞类型富集分析将发现的基因与半免疫性组织类型和免疫相关细胞类型相关联,表明其总体参与免疫反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02f5/6399257/cf0d395f0e40/42003_2019_329_Fig1_HTML.jpg

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