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Human Disease-Associated Genetic Variation Impacts Large Intergenic Non-Coding RNA Expression

机译:人类疾病相关的遗传变异会影响大的非编码RNA表达

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Recently it has become clear that only a small percentage (7%) of disease-associated single nucleotide polymorphisms (SNPs) are located in protein-coding regions, while the remaining 93% are located in gene regulatory regions or in intergenic regions. Thus, the understanding of how genetic variations control the expression of non-coding RNAs (in a tissue-dependent manner) has far-reaching implications. We tested the association of SNPs with expression levels (eQTLs) of large intergenic non-coding RNAs (lincRNAs), using genome-wide gene expression and genotype data from five different tissues. We identified 112 cis -regulated lincRNAs, of which 45% could be replicated in an independent dataset. We observed that 75% of the SNPs affecting lincRNA expression (lincRNA cis -eQTLs) were specific to lincRNA alone and did not affect the expression of neighboring protein-coding genes. We show that this specific genotype-lincRNA expression correlation is tissue-dependent and that many of these lincRNA cis -eQTL SNPs are also associated with complex traits and diseases. Author Summary Large intergenic non-coding RNAs (lincRNAs) are the largest class of non-coding RNA molecules in the human genome. Many genome-wide association studies (GWAS) have mapped disease-associated genetic variants (SNPs) to, or in, the vicinity of such lincRNA regions. However, it is not clear how these SNPs can affect the disease. We tested whether SNPs were also associated with the lincRNA expression levels in five different human primary tissues. We observed that there is a strong genotype-lincRNA expression correlation that is tissue-dependent. Many of the observed lincRNA cis -eQTLs are disease- or trait-associated SNPs. Our results suggest that lincRNA-eQTLs represent a novel link between non-coding SNPs and the expression of protein-coding genes, which can be exploited to understand the process of gene-regulation through lincRNAs in more detail.
机译:最近,很明显,只有小百分比(7%)疾病相关的单核苷酸多态性(SNP)位于蛋白质编码区中,而其余的93%位于基因调节区或基因区域中。因此,理解遗传变异如何控制非编码RNA的表达(以组织依赖方式)具有深远的影响。我们使用来自五种不同组织的基因组基因表达和基因型数据,测试了SNP与大型基因非编码RNA(Lincrnas)的表达水平(EQTL)的关联。我们确定了112个CIS -Regulated LincRNA,其中45%可以在独立数据集中复制。我们观察到,影响影响LincrNA表达的75%的SNPS(LincrNA CIS -eQTLs)对LincrNA仅特异性,并不影响相邻蛋白质编码基因的表达。我们表明,这种特定的基因型-LINCRNA表达相关性是组织依赖性的,并且这些LINCRNA CIS -eQTL SNP中的许多也与复杂的性状和疾病相关。作者概述大的争论非编码RNA(Lincrnas)是人类基因组中最大的非编码RNA分子。许多基因组关联研究(GWAS)具有映射疾病相关的遗传变异(SNP),或者在这种林带区域附近。但是,目前尚不清楚这些SNP如何影响疾病。我们测试了SNP是否也与五种不同人的主要组织中的LincrNA表达水平有关。我们观察到存在具有组织依赖性的强大基因型-LINCRNA表达相关性。许多观察到的LincrNA CIS -EQTLS是疾病或性状相关的SNP。我们的研究结果表明,LincrNA-EQTLS代表非编码SNP和蛋白质编码基因表达之间的新颖联系,这可以利用以更详细地通过LINCRNA理解基因调节过程。

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