Finding Potential Drug Targets for Pre‐Eclampsia Using Mendelian Randomisation and Colocalisation Analysis

药品 子痫 内科学 生物 医学 药理学 怀孕 遗传学
作者
Yuexin Xu,Yingzi Pan,Chengqian Wu,Tingting Zhao,Jiayan Miao,Xiaohong Ji
出处
期刊:American Journal of Reproductive Immunology [Wiley]
卷期号:93 (3)
标识
DOI:10.1111/aji.70063
摘要

ABSTRACT Introduction Pre‐eclampsia (PE) is a common complication of pregnancy and there is an urgent need for new drug targets. We performed whole proteome‐wide Mendelian randomisation (MR) and colocalisation analyses to identify potential therapeutic targets for PE. Material and Methods A two‐sample MR study was conducted using summary‐level statistics of 734 plasma proteins retrieved from large genome‐proteome‐wide association studies. The summary statistics of PE or eclampsia were obtained from the FinnGen consortium. Wald ratio and Inverse variance weighted (IVW) were used to assess the causal association between proteins and PE. Colocalisation analyses were conducted to examine whether the identified proteins and PE shared incidental variants. Results Genetically predicted circulating levels of 42 proteins were associated with PE risk after Benjamini‐Hochberg correction. Nineteen of the gene‐predicted proteins showed evidence of increased PE risk (CRELD1, CPA4, AHSG, NFASC, QDPR, NTM, PZP, FAM171B, RTN4R, FLRT2, ADH4, ADM, SPINK5, LGALS4, CKM, SPON2, UROS, CXCL10 and APOBEC3G); 23 proteins reduced the risk of PE (CLIC5, NEO1, SWAP70, KLK8, VWA2, FSTL1, CXCL11, APOB, NPPB, CNTN4, IL12B, ACHE, TCN1, GFRA2, GNMT, HPGDS, DPT, MANBA, SPARCL1, ACE, FUT8, BST1 and ACP1). Bayesian colocalisation indicated that six proteins (VWA2, ACHE, CXCL10, PZP, AHSG and UROS) and PE, which were identified as high evidence of colocalisation with PE. Conclusions This study provides evidence of the causal association between genetically predicted 42 proteins associated with PE risk, which might be promising drug targets for PE.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
英姑应助科研通管家采纳,获得10
刚刚
大模型应助科研通管家采纳,获得10
1秒前
Lucas应助科研通管家采纳,获得10
1秒前
Jasper应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
1秒前
1秒前
姚佳麒发布了新的文献求助10
1秒前
跑跑完成签到,获得积分10
2秒前
不安的硬币完成签到,获得积分10
2秒前
Moe完成签到,获得积分10
2秒前
Wei完成签到,获得积分10
3秒前
禾木应助阿程采纳,获得10
4秒前
桐桐应助京莫采纳,获得10
4秒前
zsy666发布了新的文献求助10
5秒前
5秒前
iris发布了新的文献求助10
7秒前
张亭亭完成签到,获得积分20
7秒前
dddd完成签到,获得积分10
8秒前
8秒前
8秒前
坚强的哈密瓜完成签到,获得积分10
9秒前
yangbin710发布了新的文献求助30
11秒前
Jingjun完成签到,获得积分10
11秒前
11秒前
11秒前
alice应助草壁米采纳,获得10
12秒前
彭于晏应助黄大大大六采纳,获得10
13秒前
13秒前
keyanzhilu发布了新的文献求助10
13秒前
桐桐应助小木木采纳,获得10
13秒前
能干亦玉发布了新的文献求助10
14秒前
Ning完成签到,获得积分10
14秒前
14秒前
安静的博发布了新的文献求助10
14秒前
576-576完成签到 ,获得积分10
14秒前
琛哥物理完成签到,获得积分10
15秒前
zhaoxi完成签到,获得积分10
15秒前
高分求助中
【重要!!请各位用户详细阅读此贴】科研通的精品贴汇总(请勿应助) 10000
Genomic signature of non-random mating in human complex traits 2000
Semantics for Latin: An Introduction 1099
醤油醸造の最新の技術と研究 1000
Plutonium Handbook 1000
Three plays : drama 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 640
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4108675
求助须知:如何正确求助?哪些是违规求助? 3646863
关于积分的说明 11551815
捐赠科研通 3352773
什么是DOI,文献DOI怎么找? 1842192
邀请新用户注册赠送积分活动 908446
科研通“疑难数据库(出版商)”最低求助积分说明 825578