A focusing framework for testing bi-directional causal effects in Mendelian randomization

被引:0
|
作者
Li, Sai [1 ]
Ye, Ting [2 ]
机构
[1] Renmin Univ China, Inst Stat & Big Data, Beijing 100872, Peoples R China
[2] Univ Washington, Dept Biostat, Seattle, WA USA
基金
中国国家自然科学基金; 美国国家卫生研究院;
关键词
causal direction; hypothesis testing; invalid instruments; Mendelian randomization; pleiotropy; INVALID INSTRUMENTS; PLEIOTROPY; INFERENCE; MODELS; HEALTH;
D O I
10.1093/jrsssb/qkae101
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Mendelian randomization (MR) is a powerful method that uses genetic variants as instrumental variables to infer the causal effect of a modifiable exposure on an outcome. We study inference for bi-directional causal relationships and causal directions with possibly pleiotropic genetic variants. We show that assumptions for common MR methods are often impossible or too stringent given the potential bi-directional relationships. We propose a new focusing framework for testing bi-directional causal effects and it can be coupled with many state-of-the-art MR methods. We provide theoretical guarantees for our proposal and demonstrate its performance using several simulated and real datasets.
引用
收藏
页数:20
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