Mendelian randomisation analysis for intestinal disease: achievement and future.

eGastroenterology Pub Date : 2024-06-17 eCollection Date: 2024-04-01 DOI:10.1136/egastro-2023-100058
Xixian Ruan, Tianyi Che, Xuejie Chen, Yuhao Sun, Tian Fu, Shuai Yuan, Xue Li, Jie Chen, Xiaoyan Wang
{"title":"Mendelian randomisation analysis for intestinal disease: achievement and future.","authors":"Xixian Ruan, Tianyi Che, Xuejie Chen, Yuhao Sun, Tian Fu, Shuai Yuan, Xue Li, Jie Chen, Xiaoyan Wang","doi":"10.1136/egastro-2023-100058","DOIUrl":null,"url":null,"abstract":"<p><p>Intestinal disease is a group of complex digestive system diseases imposing a significant burden globally. Identifying the risk factors and potential complications of intestinal disease is important for its prevention and treatment. However, traditional observational clinical studies are limited by confounding factors and reverse causation, making causal inference challenging. Mendelian randomisation (MR) method has been developed to effectively mitigate these constraints and assess the causal relationships. This review briefly introduces the MR method, summarises MR research on intestinal disease and delineates the prospective avenues for future research. Conventional risk factors, such as lifestyle behaviours (eg, physical activity, smoking and alcohol consumption), nutrients (eg, selenium), obesity markers (eg, body mass index and waist-to-hip ratio) and inflammatory biomarkers, have been validated in MR studies. Multiomics MR studies are becoming novel hotspots, which provide a theoretical foundation for the exploration of pathogenesis and the investigation of new drug targets. However, most of the recent studies are based on European individuals, and thus it is necessary to replicate the results in other ancestries. Moreover, triangulation integrating MR and other epidemiology methods is suggested as a validated paradigm for causal inference in future MR studies.</p>","PeriodicalId":72879,"journal":{"name":"eGastroenterology","volume":"2 2","pages":"e100058"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11770446/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"eGastroenterology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/egastro-2023-100058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/4/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Intestinal disease is a group of complex digestive system diseases imposing a significant burden globally. Identifying the risk factors and potential complications of intestinal disease is important for its prevention and treatment. However, traditional observational clinical studies are limited by confounding factors and reverse causation, making causal inference challenging. Mendelian randomisation (MR) method has been developed to effectively mitigate these constraints and assess the causal relationships. This review briefly introduces the MR method, summarises MR research on intestinal disease and delineates the prospective avenues for future research. Conventional risk factors, such as lifestyle behaviours (eg, physical activity, smoking and alcohol consumption), nutrients (eg, selenium), obesity markers (eg, body mass index and waist-to-hip ratio) and inflammatory biomarkers, have been validated in MR studies. Multiomics MR studies are becoming novel hotspots, which provide a theoretical foundation for the exploration of pathogenesis and the investigation of new drug targets. However, most of the recent studies are based on European individuals, and thus it is necessary to replicate the results in other ancestries. Moreover, triangulation integrating MR and other epidemiology methods is suggested as a validated paradigm for causal inference in future MR studies.

肠道疾病的孟德尔随机分析:成就与未来。
肠道疾病是一组复杂的消化系统疾病,在全球范围内造成了重大负担。确定肠道疾病的危险因素和潜在并发症对其预防和治疗非常重要。然而,传统的观察性临床研究受到混杂因素和反向因果关系的限制,使得因果推理具有挑战性。孟德尔随机化(MR)方法已经发展到有效地减轻这些限制和评估因果关系。本文简要介绍了磁共振方法,综述了磁共振在肠道疾病中的研究,并对未来的研究方向进行了展望。传统的风险因素,如生活方式行为(如体育活动、吸烟和饮酒)、营养物质(如硒)、肥胖标志物(如体重指数和腰臀比)和炎症生物标志物,已在磁共振研究中得到验证。磁共振多组学研究正在成为新的热点,为探索发病机制和研究新的药物靶点提供了理论基础。然而,最近的大多数研究都是基于欧洲人的个体,因此有必要在其他祖先中复制结果。此外,结合核磁共振和其他流行病学方法的三角测量被认为是未来核磁共振研究中因果推理的有效范例。
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
自引率
0.00%
发文量
0
×
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