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Updated: Jan 22, 2026

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
Published on: October 21, 2022
In silico genome-wide identification of m6A-associated SNPs as potential functional variants for periodontitis
Weimin Lin1, Hao Xu1, Yunshu Wu1
1State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Abstract:
Genetic variation is considered to affect the N6 -methyladenosine (m6A) RNA transcript modification, which is the most prevalent posttranscriptional messenger RNA modification. This study aimed to identify m6A-associated single-nucleotide polymorphisms (m6A-SNPs) that may affect m6A methylation from numerous periodontitis (PD) SNPs. We identified an abundance of m6A-SNPs by analyzing raw data of published PD genome-wide association studies and m6A-SNPs list from the m6AVar database. Other evidence was found in public databases for expression quantitative trait loci (eQTL) and differential gene expression analysis. Accordingly, 1938 m6A-SNPs were identified, 104 of which appeared to be associated with PD (p < .05) while 65 showed eQTL signals. Lastly, the leading SNP rs2723183 (p = 3.93E-07) was predicted to regulate local gene IL-37 expression in PD (p = 2.64E-05; in GSE10334) and change regulatory motif RXRA. In summary, dozens of PD-associated m6A-SNPs were identified and their possible functions were demonstrated in this study.
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