Evidence map›Paper›PMID 33010174›Full record

ArticleNucleic acids research2021

RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis.

Kunqi Chen, Bowen Song, Yujiao Tang, Zhen Wei, Qingru Xu, Jionglong Su, João Pedro de Magalhães, Daniel J Rigden, Jia Meng

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

68 citing papers in PubMed, 89 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. mInterdisciplinary sciences, computational life sciences · 2026
    Article
  5. Article
  6. Article
  7. Functional Prediction of Epitranscriptome.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. The role of m5C, m1A and m7G modifications in tumors of urinary system.Frontiers in cell and developmental biology · 2025
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 2 countries.

Kunqi ChenDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Bowen SongInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, L7 8TX Liverpool, UK.
Yujiao TangDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Zhen WeiDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Qingru XuDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Jionglong SuDepartment of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
João Pedro de MagalhãesInstitute of Ageing & Chronic Disease, University of Liverpool, L7 8TX Liverpool, UK.
Daniel J RigdenInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, L7 8TX Liverpool, UK.
Jia MengDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
University of Liverpool · GBXi’an Jiaotong-Liverpool University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deciphering the biological impacts of millions of single nucleotide variants remains a major challenge. Recent studies suggest that RNA modifications play versatile roles in essential biological mechanisms, and are closely related to the progression of various diseases including multiple cancers. To comprehensively unveil the association between disease-associated variants and their epitranscriptome disturbance, we built RMDisease, a database of genetic variants that can affect RNA modifications. By integrating the prediction results of 18 different RNA modification prediction tools and also 303,426 experimentally-validated RNA modification sites, RMDisease identified a total of 202,307 human SNPs that may affect (add or remove) sites of eight types of RNA modifications (m6A, m5C, m1A, m5U, Ψ, m6Am, m7G and Nm). These include 4,289 disease-associated variants that may imply disease pathogenesis functioning at the epitranscriptome layer. These SNPs were further annotated with essential information such as post-transcriptional regulations (sites for miRNA binding, interaction with RNA-binding proteins and alternative splicing) revealing putative regulatory circuits. A convenient graphical user interface was constructed to support the query, exploration and download of the relevant information. RMDisease should make a useful resource for studying the epitranscriptome impact of genetic variants via multiple RNA modifications with emphasis on their potential disease relevance. RMDisease is freely accessible at: www.xjtlu.edu.cn/biologicalsciences/rmd.

Indexed as

Databases, GeneticEpigenesis, GeneticGene Expression Regulation, NeoplasticRNA Processing, Post-TranscriptionalAlternative SplicingHumansInternetMicroRNAsMolecular Sequence AnnotationNeoplasmsPolymorphism, Single NucleotideRNA-Binding ProteinsRNA, NeoplasmSoftwareTranscriptomeMicroRNAsRNA-Binding ProteinsRNA, Neoplasm

Identifiers

PMID33010174
PMCPMC7778951
OpenAlexW3090748508

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.