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MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases

The MiRNA SNP Disease Database (MSDD, http://www.bio-bigdata.com/msdd/) is a manually curated database that provides comprehensive experimentally supported associations among microRNAs (miRNAs), single nucleotide polymorphisms (SNPs) and human diseases. SNPs in miRNA-related functional regions such...

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Autores principales: Yue, Ming, Zhou, Dianshuang, Zhi, Hui, Wang, Peng, Zhang, Yan, Gao, Yue, Guo, Maoni, Li, Xin, Wang, Yanxia, Zhang, Yunpeng, Ning, Shangwei, Li, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753252/
https://www.ncbi.nlm.nih.gov/pubmed/29106642
http://dx.doi.org/10.1093/nar/gkx1035
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author Yue, Ming
Zhou, Dianshuang
Zhi, Hui
Wang, Peng
Zhang, Yan
Gao, Yue
Guo, Maoni
Li, Xin
Wang, Yanxia
Zhang, Yunpeng
Ning, Shangwei
Li, Xia
author_facet Yue, Ming
Zhou, Dianshuang
Zhi, Hui
Wang, Peng
Zhang, Yan
Gao, Yue
Guo, Maoni
Li, Xin
Wang, Yanxia
Zhang, Yunpeng
Ning, Shangwei
Li, Xia
author_sort Yue, Ming
collection PubMed
description The MiRNA SNP Disease Database (MSDD, http://www.bio-bigdata.com/msdd/) is a manually curated database that provides comprehensive experimentally supported associations among microRNAs (miRNAs), single nucleotide polymorphisms (SNPs) and human diseases. SNPs in miRNA-related functional regions such as mature miRNAs, promoter regions, pri-miRNAs, pre-miRNAs and target gene 3′-UTRs, collectively called ‘miRSNPs’, represent a novel category of functional molecules. miRSNPs can lead to miRNA and its target gene dysregulation, and resulting in susceptibility to or onset of human diseases. A curated collection and summary of miRSNP-associated diseases is essential for a thorough understanding of the mechanisms and functions of miRSNPs. Here, we describe MSDD, which currently documents 525 associations among 182 human miRNAs, 197 SNPs, 153 genes and 164 human diseases through a review of more than 2000 published papers. Each association incorporates information on the miRNAs, SNPs, miRNA target genes and disease names, SNP locations and alleles, the miRNA dysfunctional pattern, experimental techniques, a brief functional description, the original reference and additional annotation. MSDD provides a user-friendly interface to conveniently browse, retrieve, download and submit novel data. MSDD will significantly improve our understanding of miRNA dysfunction in disease, and thus, MSDD has the potential to serve as a timely and valuable resource.
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spelling pubmed-57532522018-01-05 MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases Yue, Ming Zhou, Dianshuang Zhi, Hui Wang, Peng Zhang, Yan Gao, Yue Guo, Maoni Li, Xin Wang, Yanxia Zhang, Yunpeng Ning, Shangwei Li, Xia Nucleic Acids Res Database Issue The MiRNA SNP Disease Database (MSDD, http://www.bio-bigdata.com/msdd/) is a manually curated database that provides comprehensive experimentally supported associations among microRNAs (miRNAs), single nucleotide polymorphisms (SNPs) and human diseases. SNPs in miRNA-related functional regions such as mature miRNAs, promoter regions, pri-miRNAs, pre-miRNAs and target gene 3′-UTRs, collectively called ‘miRSNPs’, represent a novel category of functional molecules. miRSNPs can lead to miRNA and its target gene dysregulation, and resulting in susceptibility to or onset of human diseases. A curated collection and summary of miRSNP-associated diseases is essential for a thorough understanding of the mechanisms and functions of miRSNPs. Here, we describe MSDD, which currently documents 525 associations among 182 human miRNAs, 197 SNPs, 153 genes and 164 human diseases through a review of more than 2000 published papers. Each association incorporates information on the miRNAs, SNPs, miRNA target genes and disease names, SNP locations and alleles, the miRNA dysfunctional pattern, experimental techniques, a brief functional description, the original reference and additional annotation. MSDD provides a user-friendly interface to conveniently browse, retrieve, download and submit novel data. MSDD will significantly improve our understanding of miRNA dysfunction in disease, and thus, MSDD has the potential to serve as a timely and valuable resource. Oxford University Press 2018-01-04 2017-11-02 /pmc/articles/PMC5753252/ /pubmed/29106642 http://dx.doi.org/10.1093/nar/gkx1035 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Yue, Ming
Zhou, Dianshuang
Zhi, Hui
Wang, Peng
Zhang, Yan
Gao, Yue
Guo, Maoni
Li, Xin
Wang, Yanxia
Zhang, Yunpeng
Ning, Shangwei
Li, Xia
MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases
title MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases
title_full MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases
title_fullStr MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases
title_full_unstemmed MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases
title_short MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases
title_sort msdd: a manually curated database of experimentally supported associations among mirnas, snps and human diseases
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753252/
https://www.ncbi.nlm.nih.gov/pubmed/29106642
http://dx.doi.org/10.1093/nar/gkx1035
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