Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions
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, ph...
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Language: | English |
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Wiley
2018-01-01
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Series: | International Journal of Genomics |
Online Access: | http://dx.doi.org/10.1155/2018/2456076 |
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author | Sha He Haiyan Ou Cunyou Zhao Jian Zhang |
author_facet | Sha He Haiyan Ou Cunyou Zhao Jian Zhang |
author_sort | Sha He |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-df3b7cb28dd3431ca1e8f582677d1b0f |
institution | Kabale University |
issn | 2314-436X 2314-4378 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
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series | International Journal of Genomics |
spelling | doaj-art-df3b7cb28dd3431ca1e8f582677d1b0f2025-02-03T06:44:23ZengWileyInternational Journal of Genomics2314-436X2314-43782018-01-01201810.1155/2018/24560762456076Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed RegionsSha He0Haiyan Ou1Cunyou Zhao2Jian Zhang3Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, ChinaDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, ChinaDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, ChinaDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, ChinamiRNAs 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.http://dx.doi.org/10.1155/2018/2456076 |
spellingShingle | Sha He Haiyan Ou Cunyou Zhao Jian Zhang Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions International Journal of Genomics |
title | Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions |
title_full | Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions |
title_fullStr | Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions |
title_full_unstemmed | Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions |
title_short | Clustering Pattern and Functional Effect of SNPs in Human miRNA Seed Regions |
title_sort | clustering pattern and functional effect of snps in human mirna seed regions |
url | http://dx.doi.org/10.1155/2018/2456076 |
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