Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

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Description: Database of functional variants involved in RNA modifications
Year founded: 2018
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Real time : Checking...
Country/Region: China
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University/Institution: Sun Yat-Sen University
City: Guangzhou
Province/State: Guangdong
Country/Region: China
Contact name (PI/Team): Jian Ren
Contact email (PI/Helpdesk):


m6AVar: a database of functional variants involved in m6A modification. [PMID: 29036329]
Zheng Y, Nie P, Peng D, He Z, Liu M, Xie Y, Miao Y, Zuo Z, Ren J.

Identifying disease-causing variants among a large number of single nucleotide variants (SNVs) is still a major challenge. Recently, N6-methyladenosine (m6A) has become a research hotspot because of its critical roles in many fundamental biological processes and a variety of diseases. Therefore, it is important to evaluate the effect of variants on m6A modification, in order to gain a better understanding of them. Here, we report m6AVar (, a comprehensive database of m6A-associated variants that potentially influence m6A modification, which will help to interpret variants by m6A function. The m6A-associated variants were derived from three different m6A sources including miCLIP/PA-m6A-seq experiments (high confidence), MeRIP-Seq experiments (medium confidence) and transcriptome-wide predictions (low confidence). Currently, m6AVar contains 16 132 high, 71 321 medium and 326 915 low confidence level m6A-associated variants. We also integrated the RBP-binding regions, miRNA-targets and splicing sites associated with variants to help users investigate the effect of m6A-associated variants on post-transcriptional regulation. Because it integrates the data from genome-wide association studies (GWAS) and ClinVar, m6AVar is also a useful resource for investigating the relationship between the m6A-associated variants and disease. Overall, m6AVar will serve as a useful resource for annotating variants and identifying disease-causing variants.

Nucleic Acids Res. 2018:46(D1) | 26 Citations (from Europe PMC, 2020-10-31)


All databases:
609/4695 (87.05%)
24/202 (88.614%)
Genotype phenotype and variation:
77/635 (88.031%)
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Created on: 2020-09-06
Curated by:
Dong Zou [2020-09-06]