LncVar: a database of genetic variation associated with long non-coding genes. [PMID: 27605101]
Xiaowei Chen, Yajing Hao, Ya Cui, Zhen Fan, Shunmin He, Jianjun Luo, Runsheng Chen
Bioinformatics (Oxford, England) 2017:33(1)
2 Citations (Google Scholar as of 2017-04-06)
Abstract: Long non-coding RNAs (lncRNAs) are essential in many molecular pathways, and are frequently associated with disease but the mechanisms of most lncRNAs have not yet been characterized. Genetic variations, including single nucleotide polymorphisms (SNPs) and structural variations, are widely distributed in the genome, including lncRNA gene regions. As the number of studies on lncRNAs grows rapidly, it is necessary to evaluate the effects of genetic variations on lncRNAs. Here, we present LncVar, a database of genetic variation associated with long non-coding genes in six species. We collected lncRNAs from the NONCODE database, and evaluated their conservation. We systematically integrated transcription factor binding sites and m(6)A modification sites of lncRNAs and provided comprehensive effects of SNPs on transcription and modification of lncRNAs. We collected putatively translated open reading frames (ORFs) in lncRNAs, and identified both synonymous and non-synonymous SNPs in ORFs. We also collected expression quantitative trait loci of lncRNAs from the literature. Furthermore, we identified lncRNAs in CNV regions as prognostic biomarker candidates of cancers and predicted lncRNA gene fusion events from RNA-seq data from cell lines. The LncVar database can be used as a resource to evaluate the effects of the variations on the biological function of lncRNAs. LncVar is available at http://bioinfo.ibp.ac.cn/LncVar CONTACT: firstname.lastname@example.orgSupplementary information: Supplementary materials are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: email@example.com.