ArticleNucleic acids research2023
RMDisease V2.0: an updated database of genetic variants that affect RNA modifications with disease and trait implication.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.
- Computational prediction of RNA modification site-disease associations: a systematic review.Briefings in bioinformatics · 2026Pooled it
- DirectASRM: uncovering allele-specific post-transcriptional RNA modifications through direct RNA sequencing.Bioinformatics (Oxford, England) · 2026Article
- Ψ-Atlas: An Integrated Atlas for Pseudouridine Epitranscriptome.Genomics, proteomics & bioinformatics · 2026Article
- VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.Nucleic acids research · 2026Article
- mInterdisciplinary sciences, computational life sciences · 2026Article
- Integrative interpretable learning reveals shared patterns of epitranscriptomic regulation across multiple cancer types.BMC biology · 2026Article
- Domain-derived knowledge enabled machine learning and functional characterization of cancer-associated RNA methylation sites.BMC bioinformatics · 2026Article
- RMzyme: regulations of RNA-modifying enzymes in humans.Signal transduction and targeted therapy · 2026Article
- M6AREG 2.0: the landscape of m6A-centered crosstalk with diverse epigenetic regulation.Nucleic acids research · 2026Article
- m6AHD: a new framework for identifying abnormal N6-methyladenosine (m6A) in heart diseases based on sequencing features.Frontiers in genetics · 2026Article
- Pseudorabies virus infection reshapes the host epitranscriptome by globally suppressing but selectively elevating specific RNA modifications.Frontiers in microbiology · 2026Article
- Integrated analysis of autophagy and ferroptosis mediating aristolochic acid A-induced nephrotoxicity via transcriptome and m6A epigenetic transcriptome in HK-2 cells.Frontiers in genetics · 2026Article
- DirectRM: integrated detection of landscape and crosstalk between multiple RNA modifications using direct RNA sequencing.Nature communications · 2025Article
- YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learning.BMC biology · 2025Article
- Article
- Multimodal zero-shot learning of previously unseen epitranscriptomes from RNA-seq data.Briefings in bioinformatics · 2025Article
- Emerging roles of RNA N4-acetylcytidine modification in reproductive health.Protein & cell · 2025Review
- Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation.Cell genomics · 2025Article
- MultiV_Nm: a prediction method for 2'-O-methylation sites based on multi-view features.Frontiers in genetics · 2025Article
- The detection, function, and therapeutic potential of RNA 2'-O-methylation.The innovation life · 2025Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in epitranscriptomics have unveiled functional associations between RNA modifications (RMs) and multiple human diseases, but distinguishing the functional or disease-related single nucleotide variants (SNVs) from the majority of 'silent' variants remains a major challenge. We previously developed the RMDisease database for unveiling the association between genetic variants and RMs concerning human disease pathogenesis. In this work, we present RMDisease v2.0, an updated database with expanded coverage. Using deep learning models and from 873 819 experimentally validated RM sites, we identified a total of 1 366 252 RM-associated variants that may affect (add or remove an RM site) 16 different types of RNA modifications (m6A, m5C, m1A, m5U, Ψ, m6Am, m7G, A-to-I, ac4C, Am, Cm, Um, Gm, hm5C, D and f5C) in 20 organisms (human, mouse, rat, zebrafish, maize, fruit fly, yeast, fission yeast, Arabidopsis, rice, chicken, goat, sheep, pig, cow, rhesus monkey, tomato, chimpanzee, green monkey and SARS-CoV-2). Among them, 14 749 disease- and 2441 trait-associated genetic variants may function via the perturbation of epitranscriptomic markers. RMDisease v2.0 should serve as a useful resource for studying the genetic drivers of phenotypes that lie within the epitranscriptome layer circuitry, and is freely accessible at: www.rnamd.org/rmdisease2.
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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.