Treffer: RMVar 2.0: an updated database of functional variants in RNA modifications.

Title:
RMVar 2.0: an updated database of functional variants in RNA modifications.
Authors:
Huang Y; School of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China., Zhang L; School of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China., Mu W; School of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China., Zheng M; School of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China., Bao X; School of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China., Li H; School of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China., Luo X; Innovation Center of the Sixth Affiliated hospital, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China., Ren J; School of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China., Zuo Z; School of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Source:
Nucleic acids research [Nucleic Acids Res] 2025 Jan 06; Vol. 53 (D1), pp. D275-D283.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN: 1362-4962 (Electronic) Linking ISSN: 03051048 NLM ISO Abbreviation: Nucleic Acids Res Subsets: MEDLINE
Imprint Name(s):
Publication: 1992- : Oxford : Oxford University Press
Original Publication: London, Information Retrieval ltd.
MeSH Terms:
RNA*/genetics , RNA*/metabolism , Genetic Variation* , RNA Processing, Post-Transcriptional* , Databases, Genetic* , RNA, Circular*/genetics , RNA, Circular*/metabolism, Humans ; Animals ; Mice ; RNA-Binding Proteins/metabolism ; RNA-Binding Proteins/genetics ; Alleles ; Molecular Sequence Annotation ; Databases, Nucleic Acid
Grant Information:
2023YFF1204600 National Key Research and Development Program of China; 32470709 National Natural Science Foundation of China; 2021B1515020108 Guangdong Basic and Applied Basic Research Foundation; QT-2023-045 Young Elite Scientists Sponsorship Program by Guangzhou Association for Science and Technology
Substance Nomenclature:
63231-63-0 (RNA)
0 (RNA, Circular)
0 (RNA-Binding Proteins)
Entry Date(s):
Date Created: 20241022 Date Completed: 20250108 Latest Revision: 20250116
Update Code:
20250117
PubMed Central ID:
PMC11701541
DOI:
10.1093/nar/gkae924
PMID:
39436017
Database:
MEDLINE

Weitere Informationen

Evaluating the impact of genetic variants on RNA modifications (RMs) is crucial for identifying disease-associated variants and understanding the pathogenic mechanisms underlying human diseases. Previously, we developed a database called RMVar to catalog variants linked to RNA modifications in humans and mice. Here, we present an updated version RMVar 2.0 (http://rmvar.renlab.cn). In this updated version, we applied an enhanced analytical pipeline to the latest RNA modification datasets and genetic variant information to identify RM-associated variants. A notable advancement in RMVar 2.0 is our incorporation of allele-specific RNA modification analysis to identify RM-associated variants, a novel approach not utilized in RMVar 1.0 or other comparable databases. Furthermore, the database offers comprehensive annotations for various molecular events, including RNA-binding protein (RBP) interactions, RNA-RNA interactions, splicing events, and circular RNAs (circRNAs), which facilitate investigations into how RM-associated variants influence post-transcriptional regulation. Additionally, we provide disease-related information sourced from ClinVar and GWAS to help researchers explore the connections between RNA modifications and various diseases. We believe that RMVar 2.0 will significantly enhance our understanding of the functional implications of genetic variants affecting RNA modifications within the context of human disease research.
(© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)