Literature DB >> 33580473

Genome-Wide Detection of m6A-Associated Genetic Polymorphisms Associated with Ischemic Stroke.

Ruixia Zhu1, Dandan Tian1, Yating Zhao1, Chenguang Zhang1, Xu Liu2.   

Abstract

N6-Methyladenosine (m6A) methylation is the most abundant post-transcription modification in eukaryotes and plays a vital role in many pathological conditions including cerebral ischemia-reperfusion injury and vascular inflammation. Moreover, recent studies have reported that single-nucleotide polymorphisms (SNPs) can affect the m6A modification. Therefore, we investigated the relationship between m6A-SNPs and ischemic stroke (IS) risk through integrative analysis of an IS genome-wide association study and m6A-SNP list from the m6AVar database. Next, we performed eQTL and differential expression analysis to support these IS-associated m6A-SNPs. Finally, using the identified polymorphisms, a PPI network was constructed using the STRING database, and GO and pathway enrichment analyses were performed using the DAVID online tool. Accordingly, we identified 305 IS-associated SNPs that could affect m6A methylation. Next, 158 of these SNPs were determined to have eQTL signals on local genes. We further identified 84 local genes (containing a total of 87 SNPs) that were differentially expressed in IS patients. Finally, we identified several biological processes and pathways related to IS pathogenesis, such as "leukocyte migration" and "focal adhesion." In summary, our study detected dozens of m6A-SNPs as critical functional polymorphisms and novel genetic biomarkers for IS susceptibility and provided a new means of elucidating the biological mechanism underlying IS development.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

Entities:  

Keywords:  Genetic polymorphism; Genome-wide association study; Ischemic stroke; m6A

Mesh:

Substances:

Year:  2021        PMID: 33580473     DOI: 10.1007/s12031-021-01805-x

Source DB:  PubMed          Journal:  J Mol Neurosci        ISSN: 0895-8696            Impact factor:   3.444


  16 in total

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