PolymiRTS Database 2.0: linking polymorphisms in microRNA target sites with human diseases and complex traits.
PolymiRTS Database 2.0: linking polymorphisms in microRNA target sites with human diseases and complex traits.
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DOI：
10.1093/nar/gkr1026
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发表时间：
2012-01
影响因子：
14.9
通讯作者：
Cui Y
中科院分区：
文献类型：
--
作者：
Ziebarth JD;Bhattacharya A;Chen A;Cui Y
microRNA靶位点多态性（Polymorphism in microRNA target site，Polymorphism）数据库旨在识别影响人类和小鼠miRNA靶向的单核苷酸多态性（single nucleotide polymorphism，SNP）。这些多态性可以破坏miRNA对基因表达的调控，并且是负责转录和表型变异的候选遗传变体。因此，该数据库的组织，以提供在miRNA靶位点，顺式作用表达的数量性状基因座（eQTL），和人类疾病的全基因组关联研究（GWAS）的结果之间的链接。在这里，我们描述了已整合到PolymiRTS数据库中的新功能，包括：（i）与GWAS中人类疾病和性状相关的基因中的polymiRTS，（ii）已被各种实验方法支持的靶位点多态性和（iii）miRNA种子区域的多态性。大量新发现的microRNA和SNP、最近发表的小鼠表型以及人和小鼠的eQTL也已整合到数据库中。PolymiRTS数据库可在http://compbio.uthsc.edu/miRSNP/上获得。
The polymorphism in microRNA target site (PolymiRTS) database aims to identify single-nucleotide polymorphisms (SNPs) that affect miRNA targeting in human and mouse. These polymorphisms can disrupt the regulation of gene expression by miRNAs and are candidate genetic variants responsible for transcriptional and phenotypic variation. The database is therefore organized to provide links between SNPs in miRNA target sites, cis-acting expression quantitative trait loci (eQTLs), and the results of genome-wide association studies (GWAS) of human diseases. Here, we describe new features that have been integrated in the PolymiRTS database, including: (i) polymiRTSs in genes associated with human diseases and traits in GWAS, (ii) polymorphisms in target sites that have been supported by a variety of experimental methods and (iii) polymorphisms in miRNA seed regions. A large number of newly identified microRNAs and SNPs, recently published mouse phenotypes, and human and mouse eQTLs have also been integrated into the database. The PolymiRTS database is available at http://compbio.uthsc.edu/miRSNP/.
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影响因子：
64.8
作者：
Baek, Daehyun;Villen, Judit;Shin, Chanseok;Camargo, Fernando D.;Gygi, Steven P.;Bartel, David P.
通讯作者：
Bartel, David P.
影响因子：
14.9
作者：
Kozomara A;Griffiths-Jones S
通讯作者：
Griffiths-Jones S
影响因子：
64.5
作者：
Hafner M;Landthaler M;Burger L;Khorshid M;Hausser J;Berninger P;Rothballer A;Ascano M Jr;Jungkamp AC;Munschauer M;Ulrich A;Wardle GS;Dewell S;Zavolan M;Tuschl T
通讯作者：
Tuschl T
影响因子：
3.5
作者：
Bandiera, S.;Hatem, E.;Henrion-Caude, A.
通讯作者：
Henrion-Caude, A.
影响因子：
14.9
作者：
Mendes ND;Freitas AT;Sagot MF
通讯作者：
Sagot MF