The Promises and Pitfalls of Genoeconomics*.
The Promises and Pitfalls of Genoeconomics*.
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DOI：
10.1146/annurev-economics-080511-110939
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发表时间：
2012-07-01
影响因子：
5.6
通讯作者：
Lichtenstein P
中科院分区：
文献类型：
--
作者：
Benjamin DJ;Cesarini D;Chabris CF;Glaeser EL;Laibson DI;Guðnason V;Harris TB;Launer LJ;Purcell S;Smith AV;Johannesson M;Magnusson PK;Beauchamp JP;Christakis NA;Atwood CS;Hebert B;Freese J;Hauser RM;Hauser TS;Grankvist A;Hultman CM;Lichtenstein P
本文回顾了遗传学和经济学交叉领域的现有研究，提出了一些新的发现，说明了基因经济学研究的现状，并调查了这一新兴领域的前景。双胞胎研究表明，经济结果和偏好，一旦修正了测量误差，似乎与许多医疗条件和个性特征一样具有遗传性。与这种模式相一致，我们提出了关于永久收入和财富遗传性的新证据。转向遗传关联研究，我们调查了个体间遗传变异的直接测量可能有助于经济学的主要方式，并概述了减缓这些贡献进展的挑战。这一领域的研究人员面临的最紧迫的问题是，大多数现有的寻找遗传变异和经济行为之间联系的努力都是基于样本太小，无法确保足够的统计能力。这导致了文献中的许多假阳性。我们提出了一些可能的策略来改善和解决这个问题：（a）汇集数据集，（B）使用统计技术，利用更多的信息内容的许多基因共同考虑，（c）集中在经济相关的性状，最接近已知的生物机制。
This article reviews existing research at the intersection of genetics and economics, presents some new findings that illustrate the state of genoeconomics research, and surveys the prospects of this emerging field. Twin studies suggest that economic outcomes and preferences, once corrected for measurement error, appear to be about as heritable as many medical conditions and personality traits. Consistent with this pattern, we present new evidence on the heritability of permanent income and wealth. Turning to genetic association studies, we survey the main ways that the direct measurement of genetic variation across individuals is likely to contribute to economics, and we outline the challenges that have slowed progress in making these contributions. The most urgent problem facing researchers in this field is that most existing efforts to find associations between genetic variation and economic behavior are based on samples that are too small to ensure adequate statistical power. This has led to many false positives in the literature. We suggest a number of possible strategies to improve and remedy this problem: (a) pooling data sets, (b) using statistical techniques that exploit the greater information content of many genes considered jointly, and (c) focusing on economically relevant traits that are most proximate to known biological mechanisms.
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影响因子：
158.5
作者：
Cecil, Joanne E.;Tavendale, Roger;Palmer, Colin N. A.
通讯作者：
Palmer, Colin N. A.
酒精摄入和血压：实施孟德尔随机方法的系统评价。
影响因子：
15.8
作者：
Chen L;Smith GD;Harbord RM;Lewis SJ
通讯作者：
Lewis SJ
影响因子：
11
作者：
通讯作者：
--
影响因子：
2.4
作者：
Cawley, J;Heckman, J;Vytlacil, E
通讯作者：
Vytlacil, E
影响因子：
1.3
作者：
Conley, Dalton
通讯作者：
Conley, Dalton