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Genome-wide detection of m6A-associated SNPs in atrial fibrillation pathogenesis
OBJECTIVE: N6-Methyladenosine (m6A) modification is of great importance in both the pathological conditions and physiological process. The m6A single nucleotide polymorphisms (SNPs) are associated with cardiovascular diseases including coronary artery disease, heart failure. However, it is unclear w...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250744/ https://www.ncbi.nlm.nih.gov/pubmed/37304952 http://dx.doi.org/10.3389/fcvm.2023.1152851 |
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author | Huang, Yan Tan, Yuqian Yao, Yuan Gu, Linglong Huang, Liusong Song, Tao |
author_facet | Huang, Yan Tan, Yuqian Yao, Yuan Gu, Linglong Huang, Liusong Song, Tao |
author_sort | Huang, Yan |
collection | PubMed |
description | OBJECTIVE: N6-Methyladenosine (m6A) modification is of great importance in both the pathological conditions and physiological process. The m6A single nucleotide polymorphisms (SNPs) are associated with cardiovascular diseases including coronary artery disease, heart failure. However, it is unclear whether m6A-SNPs are involved in atrial fibrillation (AF). Here, we aimed to explore the relationship between m6A-SNPs and AF. METHOD: The relationship between m6A-SNPs and AF was evaluated by analyzing the AF genome-wide association study (GWAS) and m6A-SNPs annotated by the m6AVar database. Further, eQTL and gene differential expression analysis were performed to confirm the association between these identified m6A-SNPs and their target genes in the development of AF. Moreover, we did the GO enrichment analysis to figure out the potential functions of these m6A-SNPs affected genes. RESULT: Totally, 105 m6A-SNPs were identified to be significantly associated with AF (FDR < 0.05), among which 7 showed significant eQTL signals on local genes in the atrial appendage. By using four public AF gene expression datasets, we identified genes SYNE2, USP36, and THAP9 containing SNPs rs35648226, rs900349, and rs1047564 were differentially expressed in AF population. Further, SNPs rs35648226 and rs1047564 are potentially associated with AF by affecting m6A modification and both of them might have an interaction with RNA-binding protein, PABPC1. CONCLUSION: In summary, we identified m6A-SNPs associated with AF. Our study provided new insights into AF development as well as AF therapeutic target. |
format | Online Article Text |
id | pubmed-10250744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102507442023-06-10 Genome-wide detection of m6A-associated SNPs in atrial fibrillation pathogenesis Huang, Yan Tan, Yuqian Yao, Yuan Gu, Linglong Huang, Liusong Song, Tao Front Cardiovasc Med Cardiovascular Medicine OBJECTIVE: N6-Methyladenosine (m6A) modification is of great importance in both the pathological conditions and physiological process. The m6A single nucleotide polymorphisms (SNPs) are associated with cardiovascular diseases including coronary artery disease, heart failure. However, it is unclear whether m6A-SNPs are involved in atrial fibrillation (AF). Here, we aimed to explore the relationship between m6A-SNPs and AF. METHOD: The relationship between m6A-SNPs and AF was evaluated by analyzing the AF genome-wide association study (GWAS) and m6A-SNPs annotated by the m6AVar database. Further, eQTL and gene differential expression analysis were performed to confirm the association between these identified m6A-SNPs and their target genes in the development of AF. Moreover, we did the GO enrichment analysis to figure out the potential functions of these m6A-SNPs affected genes. RESULT: Totally, 105 m6A-SNPs were identified to be significantly associated with AF (FDR < 0.05), among which 7 showed significant eQTL signals on local genes in the atrial appendage. By using four public AF gene expression datasets, we identified genes SYNE2, USP36, and THAP9 containing SNPs rs35648226, rs900349, and rs1047564 were differentially expressed in AF population. Further, SNPs rs35648226 and rs1047564 are potentially associated with AF by affecting m6A modification and both of them might have an interaction with RNA-binding protein, PABPC1. CONCLUSION: In summary, we identified m6A-SNPs associated with AF. Our study provided new insights into AF development as well as AF therapeutic target. Frontiers Media S.A. 2023-05-26 /pmc/articles/PMC10250744/ /pubmed/37304952 http://dx.doi.org/10.3389/fcvm.2023.1152851 Text en © 2023 Huang, Tan, Yao, Gu, Huang and Song. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Huang, Yan Tan, Yuqian Yao, Yuan Gu, Linglong Huang, Liusong Song, Tao Genome-wide detection of m6A-associated SNPs in atrial fibrillation pathogenesis |
title | Genome-wide detection of m6A-associated SNPs in atrial fibrillation pathogenesis |
title_full | Genome-wide detection of m6A-associated SNPs in atrial fibrillation pathogenesis |
title_fullStr | Genome-wide detection of m6A-associated SNPs in atrial fibrillation pathogenesis |
title_full_unstemmed | Genome-wide detection of m6A-associated SNPs in atrial fibrillation pathogenesis |
title_short | Genome-wide detection of m6A-associated SNPs in atrial fibrillation pathogenesis |
title_sort | genome-wide detection of m6a-associated snps in atrial fibrillation pathogenesis |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250744/ https://www.ncbi.nlm.nih.gov/pubmed/37304952 http://dx.doi.org/10.3389/fcvm.2023.1152851 |
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