Genetic correlation and gene-based pleiotropy analysis for four major neurodegenerative diseases with summary statistics

多效性 孟德尔随机化 肌萎缩侧索硬化 疾病 失智症 生物 全基因组关联研究 遗传关联 遗传建筑学 遗传学 基因 痴呆 医学 数量性状位点 单核苷酸多态性 遗传变异 病理 表型 基因型
作者
Jiahao Qiao,Ting Wang,Zhonghe Shao,Yiyang Zhu,Meng Zhang,Shuiping Huang,Ping Zeng
出处
期刊:Neurobiology of Aging [Elsevier BV]
卷期号:124: 117-128 被引量:5
标识
DOI:10.1016/j.neurobiolaging.2022.12.012
摘要

Recent genome-wide association studies suggested shared genetic components between neurodegenerative diseases. However, pleiotropic association patterns among them remain poorly understood. We here analyzed 4 major neurodegenerative diseases including Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS), and found suggestively positive genetic correlation. We next implemented a gene-centric pleiotropy analysis with a powerful method called PLACO and detected 280 pleiotropic associations (226 unique genes) with these diseases. Functional analyses demonstrated that these genes were enriched in the pancreas, liver, heart, blood, brain, and muscle tissues; and that 42 pleiotropic genes exhibited drug-gene interactions with 341 drugs. Using Mendelian randomization, we discovered that AD and PD can increase the risk of developing ALS, and that AD and ALS can also increase the risk of developing FTD, respectively. Overall, this study provides in-depth insights into shared genetic components and causal relationship among the 4 major neurodegenerative diseases, indicating genetic overlap and causality commonly drive their co-occurrence. It also has important implications on the etiology understanding, drug development and therapeutic targets for neurodegenerative diseases.

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
NexusExplorer应助mission采纳,获得10
刚刚
想人陪的忆彤完成签到 ,获得积分10
2秒前
今后应助Zenia采纳,获得10
2秒前
zsq发布了新的文献求助20
3秒前
无私世界完成签到,获得积分20
3秒前
罗罗诺亚夫人完成签到,获得积分10
3秒前
cauer569完成签到,获得积分10
3秒前
4秒前
深情安青应助明仕春采纳,获得10
4秒前
健康的紫易完成签到,获得积分20
5秒前
5秒前
科研通AI6.2应助不安水蓝采纳,获得10
6秒前
传奇3应助XHR33采纳,获得10
7秒前
LLL发布了新的文献求助10
7秒前
充电宝应助吃猫的鱼采纳,获得10
10秒前
10秒前
77关注了科研通微信公众号
11秒前
华仔应助zpctx采纳,获得10
11秒前
淡淡的卿完成签到 ,获得积分10
11秒前
11秒前
标致诗蕾完成签到,获得积分20
12秒前
无语的从云完成签到,获得积分10
13秒前
13秒前
Hello应助tang采纳,获得10
14秒前
Lucas应助搞怪人雄采纳,获得10
14秒前
14秒前
14秒前
rong774完成签到,获得积分10
14秒前
bkd完成签到,获得积分10
15秒前
15秒前
PSYxx完成签到,获得积分10
16秒前
16秒前
Or1ll完成签到,获得积分10
18秒前
XHR33发布了新的文献求助10
18秒前
Zenia发布了新的文献求助10
19秒前
TT发布了新的文献求助10
19秒前
19秒前
20秒前
21秒前
俯冲食堂发布了新的文献求助10
21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
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
How to Design, Write and Publish Qualitative Research for Insight and Impact 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 6533885
求助须知:如何正确求助?哪些是违规求助? 8327178
关于积分的说明 17836941
捐赠科研通 5635569
什么是DOI,文献DOI怎么找? 2934104
邀请新用户注册赠送积分活动 1910418
关于科研通互助平台的介绍 1769037