Genome-wide association analysis of hypertension and epigenetic aging reveals shared genetic architecture and identifies novel risk loci

表观遗传学 遗传建筑学 全基因组关联研究 遗传学 遗传关联 生物 联想(心理学) 计算生物学 生物信息学 基因 单核苷酸多态性 数量性状位点 基因型 心理学 心理治疗师
作者
Xin Li,Yu Guo,Haihai Liang,Jinghao Wang,Lishuang Qi
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:14 (1)
标识
DOI:10.1038/s41598-024-68751-7
摘要

Hypertension is a disease associated with epigenetic aging. However, the pathogenic mechanism underlying this relationship remains unclear. We aimed to characterize the shared genetic architecture of hypertension and epigenetic aging, and identify novel risk loci. Leveraging genome-wide association studies (GWAS) summary statistics of hypertension (129,909 cases and 354,689 controls) and four epigenetic clocks (N = 34,710), we investigated genetic architectures and genetic overlap using bivariate casual mixture model and conditional/conjunctional false discovery rate methods. Functional gene-sets pathway analyses were performed by functional mapping and gene annotation (FUMA) protocol. Hypertension was polygenic with 2.8 K trait-influencing genetic variants. We observed cross-trait genetic enrichment and genetic overlap between hypertension and all four measures of epigenetic aging. Further, we identified 32 distinct genomic loci jointly associated with hypertension and epigenetic aging. Notably, rs1849209 was shared between hypertension and three epigenetic clocks (HannumAge, IEAA, and PhenoAge). The shared loci exhibited a combination of concordant and discordant allelic effects. Functional gene-set analyses revealed significant enrichment in biological pathways related to sensory perception of smell and nervous system processes. We observed genetic overlaps with mixed effect directions between hypertension and all four epigenetic aging measures, and identified 32 shared distinct loci with mixed effect directions, 25 of which were novel for hypertension. Shared genes enriched in biological pathways related to olfaction.

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
龚小丽完成签到,获得积分10
1秒前
Tonald Yang发布了新的文献求助10
3秒前
7秒前
wz发布了新的文献求助10
10秒前
zrkkk完成签到,获得积分10
11秒前
xxxx完成签到 ,获得积分10
13秒前
athruncx完成签到,获得积分10
13秒前
康康完成签到 ,获得积分10
13秒前
xxx完成签到,获得积分10
14秒前
wz完成签到,获得积分10
15秒前
酷酷妙梦完成签到,获得积分10
16秒前
霍弃疾完成签到,获得积分10
17秒前
liu完成签到 ,获得积分10
19秒前
Whisper完成签到 ,获得积分10
20秒前
pihriyyy完成签到,获得积分10
21秒前
yt完成签到,获得积分10
21秒前
22秒前
逝月完成签到,获得积分10
23秒前
tong完成签到,获得积分10
23秒前
24秒前
vv8866发布了新的文献求助10
26秒前
花开米兰城完成签到,获得积分10
27秒前
舒适香露完成签到,获得积分10
29秒前
mulberry完成签到,获得积分10
32秒前
芝士奶盖有点咸完成签到 ,获得积分10
32秒前
忐忑的邑完成签到,获得积分10
34秒前
haishuixing2完成签到,获得积分10
35秒前
沈华炜完成签到,获得积分10
37秒前
活着毕业完成签到,获得积分10
38秒前
41秒前
小马爱科研完成签到,获得积分20
43秒前
张栀栀完成签到 ,获得积分10
45秒前
瘦瘦的风华完成签到,获得积分10
45秒前
完美麦片完成签到,获得积分10
46秒前
Sun完成签到 ,获得积分10
46秒前
ldk2025完成签到,获得积分10
47秒前
IM元发布了新的文献求助10
47秒前
打你完成签到,获得积分10
48秒前
mayee发布了新的文献求助30
48秒前
所所应助项人采纳,获得10
50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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359032
求助须知:如何正确求助?哪些是违规求助? 8173002
关于积分的说明 17212025
捐赠科研通 5414024
什么是DOI,文献DOI怎么找? 2865338
邀请新用户注册赠送积分活动 1842737
关于科研通互助平台的介绍 1690836