title: LincSNP: a database of linking disease-associated SNPs to human large intergenic non-coding RNAs.
abstract: BACKGROUND
  Genome-wide association studies (GWAS) have successfully identified a large number of single nucleotide polymorphisms (SNPs) that are associated with a wide range of human diseases. However, many of these disease-associated SNPs are located in non-coding regions and have remained largely unexplained. Recent findings indicate that disease-associated SNPs in human large intergenic non-coding RNA (lincRNA) may lead to susceptibility to diseases through their effects on lincRNA expression. There is, therefore, a need to specifically record these SNPs and annotate them as potential candidates for disease.
  
  
  METHODS
  We have built LincSNP, an integrated database, to identify and annotate disease-associated SNPs in human lincRNAs. The current release of LincSNP contains approximately 140,000 disease-associated SNPs (or linkage disequilibrium SNPs), which can be mapped to around 5,000 human lincRNAs, together with their comprehensive functional annotations. The database also contains annotated, experimentally supported SNP-lincRNA-disease associations and disease-associated lincRNAs. It provides flexible search options for data extraction and searches can be performed by disease/phenotype name, SNP ID, lincRNA name and chromosome region. In addition, we provide users with a link to download all the data from LincSNP and have developed a web interface for the submission of novel identified SNP-lincRNA-disease associations.
  
  
  CONCLUSIONS
  The LincSNP database aims to integrate disease-associated SNPs and human lincRNAs, which will be an important resource for the investigation of the functions and mechanisms of lincRNAs in human disease. The database is available at http://bioinfo.hrbmu.edu.cn/LincSNP.
authors.forename: Shangwei
authors.initials: S
authors.lastname: Ning
authors.forename: Zuxianglan
authors.initials: Z
authors.lastname: Zhao
authors.forename: Jingrun
authors.initials: J
authors.lastname: Ye
authors.forename: Peng
authors.initials: P
authors.lastname: Wang
authors.forename: Hui
authors.initials: H
authors.lastname: Zhi
authors.forename: Ronghong
authors.initials: R
authors.lastname: Li
authors.forename: Tingting
authors.initials: T
authors.lastname: Wang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. lixia@hrbmu.edu.cn.
authors.forename: Xia
authors.initials: X
authors.lastname: Li
mesh_terms: D030561:Databases, Nucleic Acid; D004194:Disease / Q000235:genetics*; D055106:Genome-Wide Association Study; D006801:Humans; D015810:Linkage Disequilibrium; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide; D062085:RNA, Long Noncoding / Q000235:genetics*; D012984:Software
chemical_list: D062085:RNA, Long Noncoding