Integration Analysis of Epigenetic-related m 6A-SNPs Associated with Atrial Fibrillation

Announcing a new article publication for Cardiovascular Innovations and Applications journal.   Numerous single nucleotide polymorphisms (SNPs) have been identified as genetic contributors to atrial fibrillation (AF). The aim of this study was to investigate the effects of genome-wide N⁶-methyladenosine (m⁶A)-SNPs on AF.

m⁶A-SNPs were identified by analysis of raw data from published AF GWAS datasets and the list of m⁶A-SNPs from the m⁶AVar database. Expression quantitative trait loci (eQTL) analysis was conducted to evaluate the effects of m⁶A-SNPs on gene expression. The expression of linked genes was validated in three independent AF-associated gene expression datasets (GSE14975, GSE108660 and GSE2240).

A total of 1429 (6.2%) unique m⁶A-SNPs that were significantly associated with AF were identified. Seventeen m⁶A-SNPs in 14 genes reached genome-wide significance. Eight m⁶A-SNPs demonstrated eQTL signals. Four m⁶A-SNPs (rs383692, rs3211105, rs1061259 and rs1152582) exhibited strong cis-eQTL signals associated with the gene expression levels of SMIM8, JMJD1C and SYNE2. SYNE2 and SMIM8 had differential gene expression levels between the AF and sinus rhythm groups. In addition, SYNE2 expression was uniformly downregulated in AF samples compared with normal control samples in the three datasets.

The results provide the first demonstration that m⁶A-SNPs are strongly associated with AF, and extend understanding of m⁶A modification as a potential biological pathway underlying AF.

https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0022

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Zhenhong Jiang, Xin Liu and Jianping Hu et al. Integration Analysis of Epigenetic-related m6A-SNPs Associated with Atrial Fibrillation. CVIA. 2023. Vol. 8(1). DOI: 10.15212/CVIA.2023.0022