RE: "MULTIVARIABLE MENDELIAN RANDOMIZATION: THE USE OF PLEIOTROPIC GENETIC VARIANTS TO ESTIMATE CAUSAL EFFECTS"

被引:124
作者
Burgess, Stephen [1 ]
Dudbridge, Frank [2 ]
Thompson, Simon G. [1 ]
机构
[1] Univ Cambridge, Sch Clin Med, Dept Publ Hlth & Primary Care, Cambridge, England
[2] Univ London London Sch Hyg & Trop Med, Dept Noncommunicable Dis Epidemiol, London WC1E 7HT, England
基金
英国医学研究理事会;
关键词
Causal inference; Epidemiologic methods; Instrumental variables; Lipid fractions; Mendelian randomization; Pleiotropy;
D O I
10.1093/aje/kwv017
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
A conventional Mendelian randomization analysis assesses the causal effect of a risk factor on an outcome by using genetic variants that are solely associated with the risk factor of interest as instrumental variables. However, in some cases, such as the case of triglyceride level as a risk factor for cardiovascular disease, it may be difficult to find a relevant genetic variant that is not also associated with related risk factors, such as other lipid fractions. Such a variant is known as pleiotropic. In this paper, we propose an extension of Mendelian randomization that uses multiple genetic variants associated with several measured risk factors to simultaneously estimate the causal effect of each of the risk factors on the outcome. This "multivariable Mendelian randomization" approach is similar to the simultaneous assessment of several treatments in a factorial randomized trial. In this paper, methods for estimating the causal effects are presented and compared using real and simulated data, and the assumptions necessary for a valid multivariable Mendelian randomization analysis are discussed. Subject to these assumptions, we demonstrate that triglyceride-related pathways have a causal effect on the risk of coronary heart disease independent of the effects of low-density lipoprotein cholesterol and high-density lipoprotein cholesterol.
引用
收藏
页码:290 / 291
页数:2
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