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首页> 外文期刊>International Journal of Genomics >Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions
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Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions

机译:SNP在人体miRNA种子区域中的聚类模式和功能作用

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摘要

miRNAs are a class of noncoding RNAs important in posttranscriptional repressors and involved in the regulation of almost every biological process by base paring with target genes through sequence in their seed regions. Genetic variations in the seedregions have vital effects on gene expression, phenotypic variation, and disease susceptibility in humans. The distribution pattern of genetic variation in miRNA seed regions might be related to miRNA function and is worth paying more attention to. We here employed computational analyses to explore the clustering pattern and functional effect of SNPs in human miRNA seed regions. A total of 1879 SNPs were mapped to 1226 human miRNA seed regions. We found that miRNAs with SNPs in their seed region are significantly enriched in miRNA clusters. We also found that SNPs in clustered miRNA seed regions have a lower functional effect than have SNPs in nonclustered miRNA seed regions. Additionally, we found that clustered miRNAs with SNPs in seed regions are involved in more pathways. Overall, our results demonstrate that SNPs in clustered miRNA seed regions can take part in more intricate and complex gene-regulating networks with lower functional cost by functional complementarity. Moreover, our results alsobroaden current knowledge on the genetic variation in human miRNA seed regions.
机译:miRNA是一类在后谱系调压器中重要的rNA,并且在其种子区域中通过序列碱基通过靶基因进行碱基对几乎每个生物过程的调节。幼树中的遗传变异对人类的基因表达,表型变异和疾病易感性具有重要影响。 miRNA种子区域的遗传变异的分布模式可能与miRNA功能有关,值得更加关注。我们在这里使用的计算分析来探讨SNP在人miRNA种子区域中的聚类模式和功能作用。总共1879个SNP被映射到1226个人miRNA种子区域。我们发现,在其种子区域中具有SNP的miRNA在miRNA簇中显着富集。我们还发现聚类miRNA种子区域中的SNP具有较低的功能效果,而不是在非聚集的miRNA种子区域中具有SNP。此外,我们发现,种子地区中的SNP的聚类miRNA涉及更多途径。总体而言,我们的结果表明,聚类miRNA种子区域中的SNP可以参与更复杂和复杂的基因调节网络,通过功能互补性降低功能成本。此外,我们的成果Alsobroaden目前关于人miRNA种子区域遗传变异的了解。

著录项

  • 来源
    《International Journal of Genomics》 |2018年第1期|共4页
  • 作者

    Sha He; Haiyan Ou; Cunyou Zhao;

  • 作者单位

    Bioinformatics Section School of Basic Medical Sciences Southern Medical University Guangzhou Guangdong 510515 China;

    Department of Medical Genetics School of Basic Medical Sciences Southern Medical University Guangzhou Guangdong 510515 China;

    Department of Medical Genetics School of Basic Medical Sciences Southern Medical University Guangzhou Guangdong 510515 China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分子生物学;
  • 关键词

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