Mendelian randomization for nephrologists

孟德尔随机化 观察研究 混淆 因果推理 医学 相关性(法律) 研究设计 计算机科学 遗传变异 统计 生物 遗传学 内科学 病理 数学 基因 基因型 政治学 法学
作者
Ellen Dobrijevic,Anita van Zwieten,Krzysztof Kiryluk,Andrew J. Grant,Germaine Wong,Armando Teixeira‐Pinto
出处
期刊:Kidney International [Elsevier BV]
卷期号:104 (6): 1113-1123 被引量:39
标识
DOI:10.1016/j.kint.2023.09.016
摘要

Confounding is a major limitation of observational studies. Mendelian randomization (MR) is a powerful study design that uses genetic variants as instrumental variables to enable examination of the causal effect of an exposure on an outcome in observational data. With the emergence of large-scale genome-wide association studies in nephrology over the past decade, MR has become a popular method to establish causal inferences. However, MR is a complex and challenging methodology that requires careful consideration to ensure robust results. This review article aims to summarize the basic concepts of MR, its application and relevance in nephrology, and the methodological challenges and limitations as well as discuss the current guidelines for design and reporting. With reference to a clinically relevant example of examining the causal relationship between the estimated glomerular filtration rate and cancer, this review outlines the key steps to conducting an MR study, including the key considerations and potential pitfalls at each step. These include defining the clinical question, selecting the data sources, identifying and refining appropriate genetic variants by considering linkage disequilibrium and associations with potential confounders, harmonization of variants across data sets, validation of the genetic instrument by assessing its strength, estimation of the causal effects, confirming the validity of the findings, and interpreting and reporting results.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_VZG7GZ的应助被娜娜子采纳,获得10
刚刚
刚刚
Jane2024发布了新的文献求助10
刚刚
刚刚
xunh完成签到,获得积分20
1秒前
秋风的应助被alde采纳,获得10
1秒前
1秒前
CodeCraft的应助被yi采纳,获得10
1秒前
黑猫小苍完成签到,获得积分0
2秒前
111关闭了111的文献求助
2秒前
2秒前
2秒前
阿聪发布了新的文献求助10
2秒前
渡人舟的应助被暴躁的晓啸采纳,获得10
3秒前
3秒前
3秒前
蓉城完成签到,获得积分10
3秒前
4秒前
不鞠一格发布了新的文献求助10
4秒前
5秒前
5秒前
6秒前
1ndividual发布了新的文献求助10
6秒前
科研通AI6.4的应助被my采纳,获得10
6秒前
冷艳莛完成签到,获得积分10
6秒前
水冰橙发布了新的文献求助10
6秒前
6秒前
6秒前
6秒前
科研通AI6.2的应助被CYS采纳,获得10
7秒前
领导范儿的应助被荔枝烨采纳,获得10
7秒前
脑洞疼的应助被studyxxx采纳,获得10
7秒前
7秒前
蓉城发布了新的文献求助10
7秒前
YangyTjjt发布了新的文献求助20
8秒前
8秒前
8秒前
上官若男的应助被亭亭玉立采纳,获得10
8秒前
UAECT完成签到,获得积分10
8秒前
9秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Art of Interactive Teaching 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7800113
求助须知:如何正确求助?哪些是违规求助? 9335001
关于积分的说明 20471334
捐赠科研通 7391525
什么是DOI,文献DOI怎么找? 3326290
关于科研通互助平台的介绍 2473207
邀请新用户注册赠送积分活动 2343997