Genome-wide identification of m6A-associated single nucleotide polymorphisms in complex diseases of nervous system

单核苷酸多态性 表达数量性状基因座 生物 遗传学 全基因组关联研究 SNP公司 基因 遗传关联 基因型
作者
Fei Guo,Jingxuan Kang,Jing Xu,Siyu Wei,Junxian Tao,Yu Dong,Yingnan Ma,Hongsheng Tian,Xuying Guo,Shuo Bi,Chen Zhang,Hongchao Lv,Zhenwei Shang,Yongshuai Jiang,Mingming Zhang
出处
期刊:Neuroscience Letters [Elsevier]
卷期号:817: 137513-137513 被引量:3
标识
DOI:10.1016/j.neulet.2023.137513
摘要

N6-methyladenosine (m6A) is one of the most abundant chemical modifications on RNA and can affect the occurrence and development of diseases. Some studies have shown that the expressions of some m6A-related genes are significantly regulated by single nucleotide variants (SNV). However, the function of m6A-associated single nucleotide polymorphisms (m6A-SNP) remains unclear in multiple sclerosis (MS), Alzheimer's disease (AD) and Parkinson's disease (PD). Here, we identified the disease-associated m6A-SNPs by integrating genome-wide association study (GWAS) and m6A-SNPs from the RMVar database, and confirmed the relationship between these identified m6A-SNPs and their target genes in eQTL analysis and gene differential expression analysis. Finally, 26 genes corresponding to 20 m6A-SNPs with eQTL signals were identified and differentially expressed (P < 0.05) in MS, 15 genes corresponding to 12 m6A-SNPs (P < 1e-04) were differentially expressed in AD, and 27 PD-associated m6A-SNPs that regulated the expression of 31 genes were identified. There were 5 HLA genes with eQTL signals (HLA-DQB1, HLA-DRB1, HLA-DQA1, HLA-DQA2 and HLA-DQB1-AS1) to be detected in the three diseases. In summary, our study provided new insights into understanding the potential roles of these m6A-SNPs in disease pathogenesis as well as therapeutic target.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
不倦应助wuran采纳,获得10
刚刚
在水一方应助丽丽采纳,获得10
刚刚
刚刚
元谷雪发布了新的文献求助10
刚刚
Mayday完成签到,获得积分10
1秒前
量子星尘发布了新的文献求助10
1秒前
华仔应助HJJHJH采纳,获得10
1秒前
王宇航发布了新的文献求助10
2秒前
勤劳白翠发布了新的文献求助10
2秒前
hh完成签到,获得积分10
2秒前
陈cxz发布了新的文献求助10
2秒前
2秒前
vv完成签到,获得积分10
3秒前
和风晓月完成签到,获得积分10
3秒前
林冲发布了新的文献求助10
3秒前
Gaoge完成签到,获得积分10
4秒前
ks_Mo发布了新的文献求助10
4秒前
哈哈哈啊完成签到,获得积分10
4秒前
4秒前
5秒前
5秒前
甜蜜凡波完成签到,获得积分10
5秒前
舒服的灰狼完成签到,获得积分10
5秒前
王金金发布了新的文献求助10
6秒前
月月发布了新的文献求助10
6秒前
6秒前
ABCDE完成签到,获得积分10
6秒前
曲意风华完成签到,获得积分10
6秒前
7秒前
7秒前
卢健辉完成签到,获得积分10
7秒前
GH发布了新的文献求助10
7秒前
xwwdcg完成签到,获得积分10
8秒前
8秒前
wang发布了新的文献求助10
9秒前
Guochunbao发布了新的文献求助10
9秒前
9秒前
9秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5665264
求助须知:如何正确求助?哪些是违规求助? 4875562
关于积分的说明 15112548
捐赠科研通 4824343
什么是DOI,文献DOI怎么找? 2582710
邀请新用户注册赠送积分活动 1536677
关于科研通互助平台的介绍 1495284