The Promise and Challenges of Incorporating Genetic Data into Longitudinal Social Science Surveys and Research
The Promise and Challenges of Incorporating Genetic Data into Longitudinal Social Science Surveys and Research
复制标题
DOI：
10.1080/19485560903415807
复制
发表时间：
2009-01-01
影响因子：
1.3
通讯作者：
Conley, Dalton
中科院分区：
文献类型：
--
作者：
Conley, Dalton
在这篇文章中，我认为社会科学和基因组学是可以整合的；然而，目前这种联姻的方式依赖于虚假的方法和假设，因此不会产生多少持久的见解。然而，计量经济学和发展基因组学的最新进展为科学家提供了一个新的机会来理解基因和环境如何相互作用以产生社会结果。关于基因和社会环境之间相互作用的任何因果推断的关键是，在环境条件保持不变的情况下，任何一种基因型都被外源操纵(即通过兄弟姐妹固定效应)，和/或环境变化本质上是外生的，即实验或产生于某种自然实验。此外，最初的等位基因选择应该受到与人类同源基因相关的模型动物研究中的遗传实验结果的推动。同样，在人类种群研究中发现的遗传关联随后应该通过在模式生物中进行基因敲除和过度表达研究来测试。
In this paper, I argue that social science and genomics can be integrated; however, the way this marriage is currently occurring rests on spurious methods and assumptions and, as a result, will yield few lasting insights. However, recent advances in both econometrics and in developmental genomics provide scientists with a novel opportunity to understand how genes and environment interact to produce social outcomes. Key to any causal inference about the interplay between genes and social environment is that either genotype be exogenously manipulated (i.e. through sibling fixed effects) while environmental conditions are held constant, and/or that environmental variation is exogenous in nature, i.e. experimental or arising from a natural experiment of sorts. Further, initial allele selection should be motivated by findings from genetic experiments in model animal studies linked to orthologous human genes. Likewise, genetic associations found in human population studies should then be tested through knock-out and over-expression studies in model organisms.