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Transcript specific regulation of expression influences susceptibility to multiple sclerosis

机译:表达的转录物特异性调节会影响多发性硬化症的易感性

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摘要

Genome-wide association studies (GWAS) have identified over 100 loci containing single nucleotide variants (SNVs) that influence the risk of developing multiple sclerosis (MS). Most of these loci lie in non-coding regulatory regions of the genome that are active in immune cells and are therefore thought to modify risk by altering the expression of key immune genes. To explore this hypothesis we screened genes flanking MS-associated variants for evidence of allele specific expression (ASE) by quantifying the transcription of coding variants in linkage disequilibrium with MS-associated SNVs. In total, we were able to identify and successfully analyse 200 such coding variants (from 112 genes) in both CD4+ and CD8+ T cells from 106 MS patients and 105 controls. Fifty-six of these coding variants (from 43 genes) showed statistically significant evidence of ASE in one or both cell types. In the Lck interacting transmembrane adaptor 1 gene (LIME1), for example, we were able to show that in both cell types, the MS-associated variant rs2256814 increased the expression of some transcripts while simultaneously reducing the expression of other transcripts. In CD4+ cells from an additional independent set of 96 cases and 93 controls we were able to replicate the effect of this SNV on the balance of alternate LIME1 transcripts using qPCR (p = 5 x 10(-24)). Our data thus indicate that some of the MS-associated SNVs identified by GWAS likely exert their effects on risk by distorting the balance of alternate transcripts rather than by changing the overall level of gene expression.
机译:基因组 - 宽协会研究(GWAs)鉴定了100多个含有单核苷酸变体(SNV)的基因座,其影响发育多发性硬化(MS)的风险。这些基因座中的大多数位于在免疫细胞中活性的基因组的非编码调节区域,因此认为通过改变关键免疫基因的表达来修改风险。为了探讨该假设,我们通过量化与MS相关的SNV中的连接不平衡的编码变体的转录来筛选侧翼MS相关变体的基因,用于等位基因特异性表达(ASE)。总之,我们能够从106毫秒患者和105个对照中识别并成功分析CD4 +和CD8 + T细胞中的200个这样的编码变体(来自112个基因)。这些编码变体中的五十六种(来自43个基因)显示了一种或两种细胞类型中ASE的统计学显着证据。在LCK相互作用跨膜适配器1基因(LIME1)中,例如,我们能够表明,在两个细胞类型中,MS相关变体RS2256814增加了一些转录物的表达,同时还原其他转录物的表达。在CD4 +细胞中,来自另一种独立的96例,93种对照,我们能够使用QPCR复制该SNV对交替Lime1转录物的余量的影响(P = 5×10(-24))。因此,我们的数据表明Gwas识别的一些MS相关的SNV可能通过扭曲替代转录物的平衡而不是通过改变基因表达的总水平来发挥其对风险的影响。

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    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

    Univ Cambridge NIHR BioResource Translat Res Hills Rd Box 299 Cambridge CB2 0QQ England;

    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

    Univ Cambridge Dept Clin Neurosci Cambridge Biomed Campus Box 165 Hills Rd Cambridge CB2 0QQ;

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  • 正文语种 eng
  • 中图分类 医学遗传学;
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