Mendelian randomization analysis with survival outcomes

被引：12

作者：

Cho, Youngjoo ^{[1
]}

Rau, Andrea ^{[2
,3
]}

Reiner, Alex ^{[4
]}

Auer, Paul L. ^{[2
]}

机构：

[1] Univ Texas El Paso, Dept Math Sci, El Paso, TX 79968 USA

[2] Univ Wisconsin, Zilber Sch Publ Hlth, POB 413, Milwaukee, WI 53205 USA

[3] Univ Paris Saclay, GABI, AgroParisTech, INRAE, Essonne, France

[4] Univ Washington, Dept Epidemiol, Seattle, WA 98195 USA

来源：

GENETIC EPIDEMIOLOGY | 2021年 / 45卷 / 01期

基金：

美国国家卫生研究院;

关键词：

mendelian randomization; survival data; BIAS;

D O I：

10.1002/gepi.22354

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Mendelian randomization (MR) is an established approach for assessing the causal effects of heritable exposures on outcomes. Outcomes of interest often include binary clinical endpoints, but may also include censored survival times. We explore the implications of both the Cox proportional hazard model and the additive hazard model in the context of MR, with a specific emphasis on two-stage methods. We show that naive application of standard MR approaches to censored survival times may induce significant bias. Through simulations and analysis of data from the Women's Health Initiative, we provide practical advice on modeling survival outcomes in MRs.

引用

页码：16 / 23

页数：8

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