Evidence map›Paper›PMID 29106642›Full record

ArticleNucleic acids research2018

MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases.

Ming Yue, Dianshuang Zhou, Hui Zhi, Peng Wang, Yan Zhang, Yue Gao, Maoni Guo, Xin Li, Yanxia Wang, Yunpeng Zhang and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Epigenetics · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. The roles of microRNAs in mouse development.Nature reviews. Genetics · 2021
    Review
  13. Article
  14. Role of SNPs in the Biogenesis of Mature miRNAs.BioMed research international · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Ming YueCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Dianshuang ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Hui ZhiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Peng WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yan 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.
Xin LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yanxia WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The MiRNA SNP Disease Database (MSDD, http://www.bio-bigdata.com/msdd/) is a manually curated database that provides comprehensive experimentally supported associations among microRNAs (miRNAs), single nucleotide polymorphisms (SNPs) and human diseases. SNPs in miRNA-related functional regions such as mature miRNAs, promoter regions, pri-miRNAs, pre-miRNAs and target gene 3'-UTRs, collectively called 'miRSNPs', represent a novel category of functional molecules. miRSNPs can lead to miRNA and its target gene dysregulation, and resulting in susceptibility to or onset of human diseases. A curated collection and summary of miRSNP-associated diseases is essential for a thorough understanding of the mechanisms and functions of miRSNPs. Here, we describe MSDD, which currently documents 525 associations among 182 human miRNAs, 197 SNPs, 153 genes and 164 human diseases through a review of more than 2000 published papers. Each association incorporates information on the miRNAs, SNPs, miRNA target genes and disease names, SNP locations and alleles, the miRNA dysfunctional pattern, experimental techniques, a brief functional description, the original reference and additional annotation. MSDD provides a user-friendly interface to conveniently browse, retrieve, download and submit novel data. MSDD will significantly improve our understanding of miRNA dysfunction in disease, and thus, MSDD has the potential to serve as a timely and valuable resource.

Indexed as

Databases, Nucleic AcidPolymorphism, Single Nucleotide3' Untranslated RegionsData CurationDiseaseGenetic Association StudiesHumansMicroRNAsPromoter Regions, GeneticUser-Computer Interface3' Untranslated RegionsMicroRNAs

Identifiers

PMID29106642
PMCPMC5753252

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.