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肾科同行评审员实用指南:理解和评估孟德尔随机化研究

A practical guide for nephrologist peer reviewers: understanding and appraising Mendelian randomization studies.

作者信息

Qing Jianbo, Li Yafeng, Soliman Karim M, Cheungpasitporn Wisit

机构信息

Department of Nephrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Department of Nephrology, Shanxi Provincial People's Hospital (Fifth Hospital), Shanxi Medical University, Taiyuan, China.

出版信息

Ren Fail. 2025 Dec;47(1):2445763. doi: 10.1080/0886022X.2024.2445763. Epub 2025 Jan 13.

DOI:10.1080/0886022X.2024.2445763
PMID:39806780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11734392/
Abstract

Identifying risk factors for disease onset and progression has been a core focus in nephrology research. Mendelian Randomization (MR) has emerged as a powerful genetic epidemiological approach, utilizing genome-wide association studies (GWAS) to establish causal relationships between modifiable risk factors and kidney disease outcomes. MR uses genetic variants as instrumental variables to infer causal relationships between exposures and disease outcomes. This method leverages the natural randomization of genetic variants to balance confounders, akin to matched cohorts in observational research. The rapid increase in MR studies on kidney disease poses challenges for journals and peer reviewers, especially clinicians unfamiliar with the methodology. High-quality MR studies use strong, well-validated genetic instruments with clear biological relevance, thoroughly testing for pleiotropy and confounding factors using methods like MR-Egger. Sensitivity analyses, such as MR-PRESSO, should ensure findings remain consistent across various assumptions. Effect sizes with confidence intervals should be reported and discussed within established biological mechanisms. Additionally, limitations must be transparently addressed, with recommendations for replication in future studies, to strengthen findings. This article guides readers in understanding MR application in nephrology and identifying high-quality MR studies, helping peers avoid pitfalls while seizing new opportunities in advancing kidney disease research.

摘要

确定疾病发生和进展的风险因素一直是肾脏病学研究的核心重点。孟德尔随机化(MR)已成为一种强大的遗传流行病学方法,利用全基因组关联研究(GWAS)来建立可改变的风险因素与肾脏疾病结局之间的因果关系。MR使用基因变异作为工具变量来推断暴露与疾病结局之间的因果关系。该方法利用基因变异的自然随机化来平衡混杂因素,类似于观察性研究中的匹配队列。肾脏病MR研究的迅速增加给期刊和同行评审人员带来了挑战,尤其是那些不熟悉该方法的临床医生。高质量的MR研究使用强大且经过充分验证的具有明确生物学相关性的基因工具,使用MR-Egger等方法对多效性和混杂因素进行全面测试。敏感性分析,如MR-PRESSO,应确保研究结果在各种假设下保持一致。应在既定的生物学机制内报告并讨论带有置信区间的效应大小。此外,必须透明地阐述局限性,并为未来研究中的重复研究提出建议,以加强研究结果。本文指导读者理解MR在肾脏病学中的应用并识别高质量的MR研究,帮助同行在推进肾脏疾病研究时避免陷阱,同时抓住新机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e15d/11734392/ecdb72a434fc/IRNF_A_2445763_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e15d/11734392/45c84d2142fc/IRNF_A_2445763_F0001_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e15d/11734392/ecdb72a434fc/IRNF_A_2445763_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e15d/11734392/45c84d2142fc/IRNF_A_2445763_F0001_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e15d/11734392/ecdb72a434fc/IRNF_A_2445763_F0002_C.jpg

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