ArticleBMC bioinformatics2014
LincSNP: a database of linking disease-associated SNPs to human large intergenic non-coding RNAs.
Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A meta-analysis of public microarray data identifies biological regulatory networks in Parkinson's disease.BMC medical genomics · 2018Pooled it
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- Machine learning-based survival prediction in colorectal cancer combining clinical and biological features.Oncotarget · 2025Article
- Long noncoding RNAs in ubiquitination, protein degradation, and human diseases.Biochimica et biophysica acta. Gene regulatory mechanisms · 2024Review
- Advances in Computational Methodologies for Classification and Sub-Cellular Locality Prediction of Non-Coding RNAs.International journal of molecular sciences · 2021Review
- LincSNP 3.0: an updated database for linking functional variants to human long non-coding RNAs, circular RNAs and their regulatory elements.Nucleic acids research · 2021Article
- Analysis of core genes for colorectal cancer prognosis based on immune and stromal scores.PeerJ · 2021Article
- Non-Coding RNA Databases in Cardiovascular Research.Non-coding RNA · 2020Review
- Long Non-coding RNAs Mechanisms of Action in HIV-1 Modulation and the Identification of Novel Therapeutic Targets.Non-coding RNA · 2020Review
- Regulation of Cholesterol Homeostasis by a Novel Long Non-coding RNA LASER.Scientific reports · 2019Article
- LINC01420 RNA structure and influence on cell physiology.BMC genomics · 2019Article
- Meta-Analysis of Gene Expression and Identification of Biological Regulatory Mechanisms in Alzheimer's Disease.Frontiers in neuroscience · 2019Article
- TiSAn: estimating tissue-specific effects of coding and non-coding variants.Bioinformatics (Oxford, England) · 2018Article
- lncRNASNP2: an updated database of functional SNPs and mutations in human and mouse lncRNAs.Nucleic acids research · 2018Article
- LncCeRBase: a database of experimentally validated human competing endogenous long non-coding RNAs.Database : the journal of biological databases and curation · 2018Article
- A novel SNP in promoter region of RP11-3N2.1 is associated with reduced risk of colorectal cancer.Journal of human genetics · 2018Article
- LincSNP 2.0: an updated database for linking disease-associated SNPs to human long non-coding RNAs and their TFBSs.Nucleic acids research · 2017Article
- LNCediting: a database for functional effects of RNA editing in lncRNAs.Nucleic acids research · 2017Article
- Long non-coding RNAs in Colorectal Cancer: Progression and Future Directions.Journal of Cancer · 2017Article
- Implication of NOTCH1 gene in susceptibility to anxiety and depression among sexual abuse victims.Translational psychiatry · 2016Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenome-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. DESCRIPTION: 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.
conclusionsThe 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.
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