Proteome-wide association studies using summary pQTL data of brain, CSF, and plasma identify 30 risk genes of Alzheimer's disease dementia.

IF 7.9 1区 医学 Q1 CLINICAL NEUROLOGY
Tingyang Hu, Qiang Liu, Qile Dai, Aron S Buchman, David A Bennett, Shinya Tasaki, Yanling Wang, Nicholas T Seyfried, Philip L De Jager, Michael P Epstein, Jingjing Yang
{"title":"Proteome-wide association studies using summary pQTL data of brain, CSF, and plasma identify 30 risk genes of Alzheimer's disease dementia.","authors":"Tingyang Hu, Qiang Liu, Qile Dai, Aron S Buchman, David A Bennett, Shinya Tasaki, Yanling Wang, Nicholas T Seyfried, Philip L De Jager, Michael P Epstein, Jingjing Yang","doi":"10.1186/s13195-025-01774-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>A proteome-wide association study (PWAS) that integrates proteomic data with genome-wide association study (GWAS) summary data is a powerful tool for studying Alzheimer's disease (AD) dementia. Existing PWAS analyses of AD often rely on the availability of individual-level proteomic and genetic data of a reference panel. Leveraging summary protein quantitative trait loci (pQTL) reference data of multiple AD-relevant tissues is expected to improve PWAS findings of AD dementia.</p><p><strong>Methods: </strong>We conducted PWAS by integrating publicly available summary pQTL data of three tissues including brain, cerebrospinal fluid (CSF), and plasma, with the latest GWAS summary data of AD dementia. For each target protein per tissue, we employed our recently published OTTERS tool to obtain omnibus PWAS p-value, testing whether the genetically regulated protein abundance in the corresponding tissue is associated with AD dementia. Protein-protein interactions and enriched pathways of identified significant PWAS risk genes were analyzed by STRING. The potential causal effects of these PWAS risk genes were assessed by probabilistic Mendelian Randomization analyses.</p><p><strong>Results: </strong>We identified 30 unique significant PWAS risk genes for AD dementia, including 11 for brain, 10 for CSF, and 16 for plasma tissues. Five of these were shared by at least two tissues, and gene MAPK3 was found in all three tissues. We found that 11 of these PWAS risk genes were associated with AD dementia or AD pathology traits in GWAS Catalog; 18 of these were detected by transcriptome-wide association studies (TWAS) in dorsolateral prefrontal cortex brain tissue; and 25 of these, including 8 out of 9 novel genes, were interconnected within a protein-protein interaction network involving the well-known AD risk gene APOE. These PWAS risk genes were enriched in immune response, glial cell proliferation, and high-density lipoprotein particle clearance pathways. Mediated causal effects were validated for 13 PWAS risk genes (43.3%).</p><p><strong>Conclusions: </strong>Our findings provide novel insights into the genetic mechanisms of AD dementia in brain, CSF, and plasma, and provide targets for developing new therapies. This study also demonstrates the effectiveness of integrating summary pQTL and GWAS data for mapping risk genes of complex human diseases.</p>","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":"17 1","pages":"135"},"PeriodicalIF":7.9000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175411/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer's Research & Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13195-025-01774-y","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: A proteome-wide association study (PWAS) that integrates proteomic data with genome-wide association study (GWAS) summary data is a powerful tool for studying Alzheimer's disease (AD) dementia. Existing PWAS analyses of AD often rely on the availability of individual-level proteomic and genetic data of a reference panel. Leveraging summary protein quantitative trait loci (pQTL) reference data of multiple AD-relevant tissues is expected to improve PWAS findings of AD dementia.

Methods: We conducted PWAS by integrating publicly available summary pQTL data of three tissues including brain, cerebrospinal fluid (CSF), and plasma, with the latest GWAS summary data of AD dementia. For each target protein per tissue, we employed our recently published OTTERS tool to obtain omnibus PWAS p-value, testing whether the genetically regulated protein abundance in the corresponding tissue is associated with AD dementia. Protein-protein interactions and enriched pathways of identified significant PWAS risk genes were analyzed by STRING. The potential causal effects of these PWAS risk genes were assessed by probabilistic Mendelian Randomization analyses.

Results: We identified 30 unique significant PWAS risk genes for AD dementia, including 11 for brain, 10 for CSF, and 16 for plasma tissues. Five of these were shared by at least two tissues, and gene MAPK3 was found in all three tissues. We found that 11 of these PWAS risk genes were associated with AD dementia or AD pathology traits in GWAS Catalog; 18 of these were detected by transcriptome-wide association studies (TWAS) in dorsolateral prefrontal cortex brain tissue; and 25 of these, including 8 out of 9 novel genes, were interconnected within a protein-protein interaction network involving the well-known AD risk gene APOE. These PWAS risk genes were enriched in immune response, glial cell proliferation, and high-density lipoprotein particle clearance pathways. Mediated causal effects were validated for 13 PWAS risk genes (43.3%).

Conclusions: Our findings provide novel insights into the genetic mechanisms of AD dementia in brain, CSF, and plasma, and provide targets for developing new therapies. This study also demonstrates the effectiveness of integrating summary pQTL and GWAS data for mapping risk genes of complex human diseases.

使用脑、脑脊液和血浆pQTL汇总数据的蛋白质组关联研究确定了30个阿尔茨海默病痴呆的风险基因。
背景:将蛋白质组学数据与全基因组关联研究(GWAS)汇总数据相结合的蛋白质组全关联研究(PWAS)是研究阿尔茨海默病(AD)痴呆的有力工具。现有的PWAS对AD的分析通常依赖于参考小组的个人水平蛋白质组学和遗传数据的可用性。利用多个AD相关组织的汇总蛋白定量性状位点(pQTL)参考数据有望改善AD痴呆的PWAS结果。方法:我们将公开获得的脑、脑脊液(CSF)和血浆三种组织的pQTL汇总数据与AD痴呆的最新GWAS汇总数据相结合,进行PWAS。对于每个组织的每个靶蛋白,我们使用我们最近发表的OTTERS工具获得综合PWAS p值,测试相应组织中遗传调控蛋白丰度是否与AD痴呆相关。通过STRING分析鉴定出的PWAS显著风险基因的蛋白-蛋白相互作用和富集途径。这些PWAS风险基因的潜在因果效应通过概率孟德尔随机化分析进行评估。结果:我们确定了AD痴呆的30个独特的显著PWAS风险基因,其中11个用于脑,10个用于脑脊液,16个用于血浆组织。其中5个至少有两个组织共享,MAPK3基因在这3个组织中都被发现。我们在GWAS目录中发现11个PWAS风险基因与AD痴呆或AD病理特征相关;其中18个是通过背外侧前额叶皮层脑组织的转录组全关联研究(TWAS)检测到的;其中25个,包括9个新基因中的8个,在一个涉及众所周知的AD风险基因APOE的蛋白质相互作用网络中相互连接。这些PWAS风险基因在免疫应答、胶质细胞增殖和高密度脂蛋白颗粒清除途径中富集。13个PWAS风险基因(43.3%)证实了介导的因果效应。结论:我们的研究结果为阿尔茨海默病在脑、脑脊液和血浆中的遗传机制提供了新的见解,并为开发新的治疗方法提供了靶点。该研究还证明了整合汇总pQTL和GWAS数据用于绘制复杂人类疾病风险基因的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Alzheimer's Research & Therapy
Alzheimer's Research & Therapy 医学-神经病学
CiteScore
13.10
自引率
3.30%
发文量
172
审稿时长
>12 weeks
期刊介绍: Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信