Causal relationship between Alzheimer’s disease and cardiovascular disease: a bidirectional Mendelian randomization analysis

孟德尔随机化 医学 全基因组关联研究 冲程(发动机) 内科学 优势比 疾病 心肌梗塞 心绞痛 心脏病学 风险因素 单核苷酸多态性 遗传学 生物 遗传变异 基因型 工程类 基因 机械工程
作者
Fengjun Zhang,Dexian Xian,Junchen Feng,Lu-Ning Ning,Tianshou Jiang,Wenchang Xu,Yuan Liu,Qiong Zhao,Min Peng
出处
期刊:Aging [Impact Journals LLC]
卷期号:15 (17): 9022-9040 被引量:6
标识
DOI:10.18632/aging.205013
摘要

Observational studies suggest that cardiovascular disease (CVD) increases the risk of developing Alzheimer's disease (AD). However, the causal relationship between the two is not clear. This study applied a two-sample bidirectional Mendelian randomization method to explore the causal relationship between CVD and AD. Genome-wide association study (GWAS) data from 46 datasets of European populations (21,982 cases of AD and 41,944 controls) were utilized to obtain genetic instrumental variables for AD. In addition, genetic instrumental variables for atrial fibrillation (AF), heart failure (HF), myocardial infarction (MI), coronary heart disease (CHD), angina pectoris (AP), and ischemic stroke (IS) (including large-artery atherosclerotic stroke [LAS] and cardioembolic stroke [CES]) were selected from GWAS data of European populations (P < 5E-8). The inverse variance weighting method was employed as the major Mendelian randomization analysis method. Genetically predicted AD odds ratios (OR) (1.06) (95% CI: 1.02–1.10, P = 0.003) were linked to higher AP analysis. A higher genetically predicted OR for CES (0.9) (95% CI 0.82–0.99, P = 0.02) was linked to a decreased AD risk. This Mendelian randomized study identified AD as a risk factor for AP. In addition, CES was related to a reduced incidence of AD. Therefore, these modifiable risk factors are crucial targets for preventing and treating AD.

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
123456发布了新的文献求助10
刚刚
1秒前
1秒前
haki发布了新的文献求助10
3秒前
糟老头完成签到,获得积分10
3秒前
李淼发布了新的文献求助10
4秒前
dddece完成签到,获得积分20
4秒前
Semy应助CL采纳,获得10
4秒前
always发布了新的文献求助50
5秒前
zxb完成签到,获得积分10
6秒前
科研通AI6.3应助学学学采纳,获得10
6秒前
7秒前
pearalien完成签到,获得积分10
8秒前
8秒前
小静发布了新的文献求助10
10秒前
wj完成签到 ,获得积分0
11秒前
natus完成签到,获得积分10
11秒前
Lucas应助ZZ采纳,获得10
12秒前
科研通AI6.3应助ccxr采纳,获得10
12秒前
15秒前
123456完成签到,获得积分10
17秒前
Steven发布了新的文献求助10
19秒前
19秒前
Alexbirchurros完成签到 ,获得积分0
21秒前
wayne完成签到,获得积分10
21秒前
23秒前
科研通AI6.3应助haki采纳,获得30
24秒前
zyy发布了新的文献求助10
24秒前
25秒前
26秒前
迅速沛珊发布了新的文献求助10
26秒前
思源应助123采纳,获得10
27秒前
27秒前
27秒前
28秒前
175完成签到,获得积分10
30秒前
Hello应助研友-wbg-LjbQIL采纳,获得10
30秒前
学学学发布了新的文献求助10
31秒前
lyla发布了新的文献求助10
31秒前
pluto应助迅速沛珊采纳,获得10
32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
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 6354016
求助须知:如何正确求助?哪些是违规求助? 8169043
关于积分的说明 17195679
捐赠科研通 5410194
什么是DOI,文献DOI怎么找? 2863904
邀请新用户注册赠送积分活动 1841339
关于科研通互助平台的介绍 1689961