Genetic markers as instrumental variables

被引：84

作者：

von Hinke, Stephanie ^{[1
]}

Smith, George Davey ^{[1
]}

Lawlor, Debbie A. ^{[1
]}

Propper, Carol ^{[1
,2
]}

Windmeijer, Frank ^{[1
]}

机构：

[1] Univ Bristol, Bristol, Avon, England

[2] Univ London Imperial Coll Sci Technol & Med, London, England

来源：

JOURNAL OF HEALTH ECONOMICS | 2016年 / 45卷

基金：

欧洲研究理事会; 英国经济与社会研究理事会;

关键词：

ALSPAC; Genetic variants; Instrumental variables; Mendelian randomization; Potential outcomes; BODY-MASS INDEX; MENDELIAN RANDOMIZATION; BLOOD-PRESSURE; PRINCIPAL STRATIFICATION; GENERALIZED-METHOD; CAUSAL INFERENCE; FTO GENE; OBESITY; IDENTIFICATION; VARIANTS;

D O I：

10.1016/j.jhealeco.2015.10.007

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The use of genetic markers as instrumental variables (IV) is receiving increasing attention from economists, statisticians, epidemiologists and social scientists. Although IV is commonly used in economics, the appropriate conditions for the use of genetic variants as instruments have not been well defined. The increasing availability of biomedical data, however, makes understanding of these conditions crucial to the successful use of genotypes as instruments. We combine the econometric IV literature with that from genetic epidemiology, and discuss the biological conditions and IV assumptions within the statistical potential outcomes framework. We review this in the context of two illustrative applications. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：131 / 148

页数：18

共 72 条

[1]

Angrist JD, 1996, J AM STAT ASSOC, V91, P444, DOI 10.2307/2291629

[2] 2-STAGE LEAST-SQUARES ESTIMATION OF AVERAGE CAUSAL EFFECTS IN MODELS WITH VARIABLE TREATMENT INTENSITY [J].