Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions

Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions
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人类 miRNA 种子区域中 SNP 的聚类模式和功能效应

DOI:
10.1155/2018/2456076
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发表时间:
2018-03
影响因子:
2.9
通讯作者:
Jian Zhang
Jian Zhang
中科院分区:
生物学4区
文献类型:
--
作者:
Sha He;Haiyan Ou;Cunyou Zhao;Jian Zhang

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miRNA 是一类在转录后阻遏物中很重要的非编码 RNA,通过种子区域的序列与靶基因进行碱基配对,参与几乎所有生物过程的调节。种子区域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种子区遗传变异的分布模式可能与miRNA功能有关,值得关注。我们在这里采用计算分析来探索人类 miRNA 种子区域中 SNP 的聚类模式和功能效应。总共 1879 个 SNP 被映射到 1226 个人类 miRNA 种子区域。我们发现种子区域具有 SNP 的 miRNA 在 miRNA 簇中显着富集。我们还发现,簇状 miRNA 种子区域中的 SNP 比非簇状 miRNA 种子区域中的 SNP 具有更低的功能效应。此外,我们发现种子区域具有 SNP 的簇状 miRNA 涉及更多途径。总体而言,我们的结果表明,簇状 miRNA 种子区域中的 SNP 可以通过功能互补性以较低的功能成本参与更复杂的基因调控网络。此外,我们的结果还拓宽了当前对人类 miRNA 种子区域遗传变异的认识。
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 seed regions 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 also broaden current knowledge on the genetic variation in human miRNA seed regions.
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