Evidence map›Paper›PMID 27924020›Full record

ArticleNucleic acids research2017

LincSNP 2.0: an updated database for linking disease-associated SNPs to human long non-coding RNAs and their TFBSs.

Shangwei Ning, Ming Yue, Peng Wang, Yue Liu, Hui Zhi, Yan Zhang, Jizhou Zhang, Yue Gao, Maoni Guo, Dianshuang Zhou and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Long noncoding RNAs in ubiquitination, protein degradation, and human diseases.Biochimica et biophysica acta. Gene regulatory mechanisms · 2024
    Review
  3. Article
  4. Article
  5. Hierarchical graph attention network for miRNA-disease association prediction.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  6. Long Non-Coding RNAs in Cardiac Hypertrophy.Frontiers in molecular medicine · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. LncRNAs and Available Databases.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Ming YueCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Peng WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yue LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Hui ZhiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jizhou ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yue GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Maoni GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Dianshuang ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xin LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China lixia@hrbmu.edu.cn.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe LincSNP 2.0 (http://bioinfo.hrbmu.edu.cn/LincSNP), an updated database that is used specifically to store and annotate disease-associated single nucleotide polymorphisms (SNPs) in human long non-coding RNAs (lncRNAs) and their transcription factor binding sites (TFBSs). In LincSNP 2.0, we have updated the database with more data and several new features, including (i) expanding disease-associated SNPs in human lncRNAs; (ii) identifying disease-associated SNPs in lncRNA TFBSs; (iii) updating LD-SNPs from the 1000 Genomes Project; and (iv) collecting more experimentally supported SNP-lncRNA-disease associations. Furthermore, we developed three flexible online tools to retrieve and analyze the data. Linc-Mart is a convenient way for users to customize their own data. Linc-Browse is a tool for all data visualization. Linc-Score predicts the associations between lncRNA and disease. In addition, we provided users a newly designed, user-friendly interface to search and download all the data in LincSNP 2.0 and we also provided an interface to submit novel data into the database. LincSNP 2.0 is a continually updated database and will serve as an important resource for investigating the functions and mechanisms of lncRNAs in human diseases.

Indexed as

Databases, GeneticPolymorphism, Single NucleotideRegulatory Elements, TranscriptionalBinding SitesDiseaseHumansMolecular Sequence AnnotationRNA, Long NoncodingSoftwareTranscription FactorsRNA, Long NoncodingTranscription Factors

Identifiers

PMID27924020
PMCPMC5210641
OpenAlexW2538142187

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.