Causal Inference with Genetic Data: Past, Present, and Future

被引:16
|
作者
Pingault, Jean-Baptiste [1 ]
Richmond, Rebecca [2 ]
Smith, George Davey [2 ]
机构
[1] UCL, Div Psychol & Language Sci, London WC1H 0AP, England
[2] Univ Bristol, Bristol Med Sch, MRC, Populat Hlth Sci,Integrat Epidemiol Unit, Bristol BS8 1TH, Avon, England
来源
关键词
LUNG-CANCER; SMOKING; TWIN; EPIDEMIOLOGY;
D O I
10.1101/cshperspect.a041271
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
The set of methods discussed in this collection has emerged from the convergence of two scientific fields-genetics and causal inference. In this introduction, we discuss relevant aspects of each field and show how their convergence arises from the natural experiments that genetics offer. We present introductory concepts useful to readers unfamiliar with genetically informed methods for causal inference. We conclude that existing applications and foreseeable developments should ensure that we rapidly reap the rewards of this relatively new field, not only in terms of our understanding of human disease and development, but also in terms of tangible translational applications.
引用
收藏
页数:13
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