A Multi-omics approach to identify and validate shared genetic architecture in rheumatoid arthritis, multiple sclerosis, and type 1 diabetes: integrating GWAS, GEO, MSigDB, and scRNA-seq data

IF 3.1 4区 生物学 Q1 GENETICS & HEREDITY Functional & Integrative Genomics Pub Date : 2025-04-21 DOI:10.1007/s10142-025-01598-x
Tailin Wang, Qian He, Kei Hang Katie Chan
{"title":"A Multi-omics approach to identify and validate shared genetic architecture in rheumatoid arthritis, multiple sclerosis, and type 1 diabetes: integrating GWAS, GEO, MSigDB, and scRNA-seq data","authors":"Tailin Wang,&nbsp;Qian He,&nbsp;Kei Hang Katie Chan","doi":"10.1007/s10142-025-01598-x","DOIUrl":null,"url":null,"abstract":"<div><p>The notable comorbidity among autoimmune diseases underscores their shared genetic underpinnings, particularly evident in rheumatoid arthritis (RA), type 1 diabetes (T1D), and multiple sclerosis (MS). However, the exact components and mechanisms of this shared genetic structure remain poorly understood. Here we show that <i>ROMO1</i> is a key shared genetic component among RA, MS, and T1D. Using differential gene expression (DGE) and LASSO regression analyses of bulk RNA-seq data from whole blood tissues, we identified <i>ROMO1</i> as a potential shared genetic factor. A multi-sample analysis with external Gene Expression Omnibus (GEO) data revealed <i>ROMO1’s</i> consistent association with immune cell patterns across tissues in all three diseases. Single-gene Gene Set Enrichment Analysis (GSEA) suggested <i>ROMO1’s</i> involvement in the reactive oxygen species (ROS) pathway, which was further substantiated by conjoint analysis with 256 ROS pathway-related genes(ROSGs) from Molecular Signatures Database (MSigDB). Single-gene Receiver Operating Characteristic (ROC) analysis highlighted <i>ROMO1’s</i> potential as a disease biomarker. Single-cell RNA sequencing (scRNA-seq) analysis showed significantly altered <i>ROMO1</i> expression in monocytes and other immune cells compared to healthy control (HC). Immune infiltration analysis revealed <i>ROMO1’s</i> significant association with monocytes across all three diseases. Furthermore, two-sample Mendelian randomization (MR) analysis using genome-wide association studies (GWAS) data demonstrated that <i>ROMO1</i> could regulate epitopes on monocytes, potentially lowering autoimmune disease risk. Our findings clarify the importance of <i>ROMO1</i> in the shared genetic architecture of RA, MS, and T1D, and its underlying mechanism in disease development.</p></div>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10142-025-01598-x.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Functional & Integrative Genomics","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1007/s10142-025-01598-x","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

The notable comorbidity among autoimmune diseases underscores their shared genetic underpinnings, particularly evident in rheumatoid arthritis (RA), type 1 diabetes (T1D), and multiple sclerosis (MS). However, the exact components and mechanisms of this shared genetic structure remain poorly understood. Here we show that ROMO1 is a key shared genetic component among RA, MS, and T1D. Using differential gene expression (DGE) and LASSO regression analyses of bulk RNA-seq data from whole blood tissues, we identified ROMO1 as a potential shared genetic factor. A multi-sample analysis with external Gene Expression Omnibus (GEO) data revealed ROMO1’s consistent association with immune cell patterns across tissues in all three diseases. Single-gene Gene Set Enrichment Analysis (GSEA) suggested ROMO1’s involvement in the reactive oxygen species (ROS) pathway, which was further substantiated by conjoint analysis with 256 ROS pathway-related genes(ROSGs) from Molecular Signatures Database (MSigDB). Single-gene Receiver Operating Characteristic (ROC) analysis highlighted ROMO1’s potential as a disease biomarker. Single-cell RNA sequencing (scRNA-seq) analysis showed significantly altered ROMO1 expression in monocytes and other immune cells compared to healthy control (HC). Immune infiltration analysis revealed ROMO1’s significant association with monocytes across all three diseases. Furthermore, two-sample Mendelian randomization (MR) analysis using genome-wide association studies (GWAS) data demonstrated that ROMO1 could regulate epitopes on monocytes, potentially lowering autoimmune disease risk. Our findings clarify the importance of ROMO1 in the shared genetic architecture of RA, MS, and T1D, and its underlying mechanism in disease development.

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
多组学方法鉴定和验证类风湿关节炎、多发性硬化症和1型糖尿病的共同遗传结构:整合GWAS、GEO、MSigDB和scRNA-seq数据
自身免疫性疾病的显著合并症强调了它们共同的遗传基础,特别是在类风湿性关节炎(RA)、1型糖尿病(T1D)和多发性硬化症(MS)中。然而,这种共同遗传结构的确切组成部分和机制仍然知之甚少。在这里,我们发现ROMO1是RA、MS和T1D之间的一个关键的共享遗传成分。利用来自全血组织的大量RNA-seq数据的差异基因表达(DGE)和LASSO回归分析,我们确定ROMO1是一个潜在的共享遗传因子。外部基因表达综合(GEO)数据的多样本分析显示,在所有三种疾病的组织中,ROMO1与免疫细胞模式的一致关联。单基因基因集富集分析(GSEA)提示ROMO1参与活性氧(ROS)通路,并与分子特征数据库(MSigDB)中的256个ROS通路相关基因(ROSGs)联合分析进一步证实了这一点。单基因受体工作特征(ROC)分析强调了ROMO1作为疾病生物标志物的潜力。单细胞RNA测序(scRNA-seq)分析显示,与健康对照(HC)相比,单核细胞和其他免疫细胞中的ROMO1表达显著改变。免疫浸润分析显示,在所有三种疾病中,ROMO1与单核细胞显著相关。此外,使用全基因组关联研究(GWAS)数据的双样本孟德尔随机化(MR)分析表明,ROMO1可以调节单核细胞上的表位,可能降低自身免疫性疾病的风险。我们的研究结果阐明了ROMO1在类风湿关节炎、多发性硬化症和T1D共有遗传结构中的重要性,以及其在疾病发展中的潜在机制。
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 去求助
来源期刊
CiteScore
3.50
自引率
3.40%
发文量
92
审稿时长
2 months
期刊介绍: Functional & Integrative Genomics is devoted to large-scale studies of genomes and their functions, including systems analyses of biological processes. The journal will provide the research community an integrated platform where researchers can share, review and discuss their findings on important biological questions that will ultimately enable us to answer the fundamental question: How do genomes work?
期刊最新文献
Candidate genes for anthracnose resistance in Senegalese sorghum: a machine learning-based exploration. Gastrodin extends the lifespan of Caenorhabditis elegans via the DAF-16/FOXO signaling pathway and autophagy. Overcoming barriers in CAR-NK immunotherapy: CRISPR-Driven advances in checkpoint editing and allogeneic design. The application of RPA-PfAgo technology combined with multidimensional data analysis in the rapid detection of the MTHFR A1298C polymorphism. Sequence dynamics and plastome evolution: decoding the complete chloroplast genome of Oenothera drummondii and comparative analysis within Oenothera (Onagraceae)
×
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:604180095
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