通过基因组学驱动的综合方法确定类风湿关节炎的治疗目标

Jie Zhang, Xinyu Fang, Jingwei Wu, Zixing Zhang, Min Mu, Dongqing Ye
{"title":"通过基因组学驱动的综合方法确定类风湿关节炎的治疗目标","authors":"Jie Zhang, Xinyu Fang, Jingwei Wu, Zixing Zhang, Min Mu, Dongqing Ye","doi":"10.1101/2024.03.19.24304536","DOIUrl":null,"url":null,"abstract":"Genomics-driven drug discovery holds significant promise in identifying and developing novel therapeutic targets. Here, we utilized large-scale genomic data including genome-wide association studies (GWAS), rare variant burden tests in exome sequencing studies (Exome), and protein quantitative trait loci (pQTL), to prioritize therapeutic targets or repurpose drugs in rheumatoid arthritis (RA). We found that prioritized genes covering two approved RA treatment targets (IL6R and CD86), along with several targets currently undergoing active clinical trials for RA. Fifteen proteins were identified as having causalities with RA risk, and three out of them showed strong support for colocalization. BRD2 was nominated as one of the most promising candidates for clinical translation as its wide expression in joint synovial tissues and validation in observational analyses associating with RA incidence. Collectively, our systematic prioritization of drug targets from different genetically informed approaches, and provided a comprehensive insight into therapeutic strategies for RA.","PeriodicalId":501212,"journal":{"name":"medRxiv - Rheumatology","volume":"276 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying therapeutic targets for rheumatoid arthritis by genomics-driven integrative approaches\",\"authors\":\"Jie Zhang, Xinyu Fang, Jingwei Wu, Zixing Zhang, Min Mu, Dongqing Ye\",\"doi\":\"10.1101/2024.03.19.24304536\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Genomics-driven drug discovery holds significant promise in identifying and developing novel therapeutic targets. Here, we utilized large-scale genomic data including genome-wide association studies (GWAS), rare variant burden tests in exome sequencing studies (Exome), and protein quantitative trait loci (pQTL), to prioritize therapeutic targets or repurpose drugs in rheumatoid arthritis (RA). We found that prioritized genes covering two approved RA treatment targets (IL6R and CD86), along with several targets currently undergoing active clinical trials for RA. Fifteen proteins were identified as having causalities with RA risk, and three out of them showed strong support for colocalization. BRD2 was nominated as one of the most promising candidates for clinical translation as its wide expression in joint synovial tissues and validation in observational analyses associating with RA incidence. Collectively, our systematic prioritization of drug targets from different genetically informed approaches, and provided a comprehensive insight into therapeutic strategies for RA.\",\"PeriodicalId\":501212,\"journal\":{\"name\":\"medRxiv - Rheumatology\",\"volume\":\"276 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Rheumatology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.03.19.24304536\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Rheumatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.03.19.24304536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

基因组学驱动的药物发现在确定和开发新型治疗靶点方面大有可为。在这里,我们利用大规模基因组数据,包括全基因组关联研究(GWAS)、外显子组测序研究(Exome)中的罕见变异负荷测试和蛋白质定量性状位点(pQTL),来确定类风湿关节炎(RA)治疗靶点的优先顺序或药物的再利用。我们发现,被优先考虑的基因涵盖了两个已获批准的类风湿关节炎治疗靶点(IL6R 和 CD86),以及几个目前正在积极进行类风湿关节炎临床试验的靶点。有 15 个蛋白质被确定为与 RA 风险有因果关系,其中有 3 个蛋白质显示出强烈的共定位支持。BRD2在关节滑膜组织中广泛表达,并在与RA发病率相关的观察分析中得到验证,因此被提名为最有希望进行临床转化的候选蛋白之一。总之,我们从不同的基因信息方法中对药物靶点进行了系统的优先排序,并对 RA 的治疗策略提供了全面的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Identifying therapeutic targets for rheumatoid arthritis by genomics-driven integrative approaches
Genomics-driven drug discovery holds significant promise in identifying and developing novel therapeutic targets. Here, we utilized large-scale genomic data including genome-wide association studies (GWAS), rare variant burden tests in exome sequencing studies (Exome), and protein quantitative trait loci (pQTL), to prioritize therapeutic targets or repurpose drugs in rheumatoid arthritis (RA). We found that prioritized genes covering two approved RA treatment targets (IL6R and CD86), along with several targets currently undergoing active clinical trials for RA. Fifteen proteins were identified as having causalities with RA risk, and three out of them showed strong support for colocalization. BRD2 was nominated as one of the most promising candidates for clinical translation as its wide expression in joint synovial tissues and validation in observational analyses associating with RA incidence. Collectively, our systematic prioritization of drug targets from different genetically informed approaches, and provided a comprehensive insight into therapeutic strategies for RA.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Mosaic loss of chromosome Y characterizes late-onset rheumatoid arthritis and contrasting associations of polygenic risk score based on age at onset. Use of Metagenomic Microbial Plasma Cell-Free DNA Next-Generation Sequencing Assay in Outpatient Rheumatology Practice Proteomic profiling of the large vessel vasculitis spectrum identifies shared signatures of innate immune activation and stromal remodelling Pre-trained convolutional neural network with transfer learning by artificial illustrated images classify power Doppler ultrasound images of rheumatoid arthritis joints Associations between exposure to OPEs and rheumatoid arthritis risk among adults in NHANES, 2011-2018
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1