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本文引用的文献

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Proceeding From Observed Correlation to Causal Inference: The Use of Natural Experiments.从观察相关性到因果推断:自然实验的应用。
Perspect Psychol Sci. 2007 Dec;2(4):377-95. doi: 10.1111/j.1745-6916.2007.00050.x.
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GCTA: a tool for genome-wide complex trait analysis.GCTA:一种全基因组复杂性状分析工具。
Am J Hum Genet. 2011 Jan 7;88(1):76-82. doi: 10.1016/j.ajhg.2010.11.011. Epub 2010 Dec 17.
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Common SNPs explain a large proportion of the heritability for human height.常见的单核苷酸多态性解释了人类身高遗传的很大一部分。
Nat Genet. 2010 Jul;42(7):565-9. doi: 10.1038/ng.608. Epub 2010 Jun 20.
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Is there an active gene-environment correlation in adolescent drinking behavior?青少年饮酒行为中是否存在活跃的基因-环境相关性?
Behav Genet. 2010 Jul;40(4):447-51. doi: 10.1007/s10519-010-9347-z. Epub 2010 Mar 9.
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Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse.人类大脑中糖皮质激素受体的表观遗传调控与童年期受虐有关。
Nat Neurosci. 2009 Mar;12(3):342-8. doi: 10.1038/nn.2270.
6
State-level moderation of genetic tendencies to smoke.国家层面上对吸烟遗传倾向的调控。
Am J Public Health. 2009 Mar;99(3):480-6. doi: 10.2105/AJPH.2008.134932. Epub 2009 Jan 15.
7
Addictions biology: haplotype-based analysis for 130 candidate genes on a single array.成瘾生物学:基于单阵列上130个候选基因的单倍型分析。
Alcohol Alcohol. 2008 Sep-Oct;43(5):505-15. doi: 10.1093/alcalc/agn032. Epub 2008 May 12.
8
Gene-environment correlation and interaction in peer effects on adolescent alcohol and tobacco use.基因-环境相关性及相互作用对青少年酒精和烟草使用的同伴影响
Behav Genet. 2008 Jul;38(4):339-47. doi: 10.1007/s10519-008-9202-7. Epub 2008 Mar 27.
9
Genes and popularity: evidence of an evocative gene-environment correlation.基因与受欢迎程度:唤起性基因-环境相关性的证据。
Psychol Sci. 2008 Feb;19(2):112-3. doi: 10.1111/j.1467-9280.2008.02055.x.
10
Gene-environment interactions reexamined: does mother's marital stability interact with the dopamine receptor D2 gene in the etiology of childhood attention-deficit/hyperactivity disorder?基因-环境相互作用再探讨:母亲的婚姻稳定性与多巴胺受体D2基因在儿童注意力缺陷多动障碍病因学中是否存在相互作用?
Dev Psychopathol. 2007 Fall;19(4):1117-28. doi: 10.1017/S0954579407000570.

基因-环境相关性:困难与基于自然实验的策略。

Gene-environment correlation: difficulties and a natural experiment-based strategy.

机构信息

At the time of the study, Brandon Wagner, Hexuan Liu, and Guang Guo were with the Department of Sociology and Carolina Population Center, University of North Carolina, Chapel Hill. Guang Guo is also with the Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill. Jiang Li is with Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill.

出版信息

Am J Public Health. 2013 Oct;103 Suppl 1(Suppl 1):S167-73. doi: 10.2105/AJPH.2013.301415. Epub 2013 Aug 8.

DOI:10.2105/AJPH.2013.301415
PMID:23927502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3778033/
Abstract

OBJECTIVES

We explored how gene-environment correlations can result in endogenous models, how natural experiments can protect against this threat, and if unbiased estimates from natural experiments are generalizable to other contexts.

METHODS

We compared a natural experiment, the College Roommate Study, which measured genes and behaviors of college students and their randomly assigned roommates in a southern public university, with observational data from the National Longitudinal Study of Adolescent Health in 2008. We predicted exposure to exercising peers using genetic markers and estimated environmental effects on alcohol consumption. A mixed-linear model estimated an alcohol consumption variance that was attributable to genetic markers and across peer environments.

RESULTS

Peer exercise environment was associated with respondent genotype in observational data, but not in the natural experiment. The effects of peer drinking and presence of a general gene-environment interaction were similar between data sets.

CONCLUSIONS

Natural experiments, like random roommate assignment, could protect against potential bias introduced by gene-environment correlations. When combined with representative observational data, unbiased and generalizable causal effects could be estimated.

摘要

目的

我们探讨了基因-环境相关如何导致内源性模型,自然实验如何防范这种威胁,以及自然实验的无偏估计是否可以推广到其他情境。

方法

我们比较了一项自然实验,即“大学室友研究”,该研究测量了南方一所公立大学的大学生及其随机分配的室友的基因和行为,以及 2008 年全国青少年健康纵向研究的观察数据。我们使用遗传标记预测接触锻炼同伴的情况,并估计环境对饮酒的影响。混合线性模型估计了归因于遗传标记和同伴环境的酒精消费方差。

结果

在观察数据中,同伴的锻炼环境与被试的基因型相关,但在自然实验中则不相关。同伴饮酒和一般基因-环境相互作用的影响在两个数据集之间相似。

结论

自然实验,如随机室友分配,可以防范由基因-环境相关性引入的潜在偏差。当与有代表性的观察数据相结合时,可以估计无偏且可推广的因果效应。