Guo Guang, Tong Yuying, Cai Tianji
Department of Sociology, University of North Carolina, Chapel Hill, North Carolina 27599-3210, USA.
AJS. 2008;114 Suppl(Suppl):S36-66. doi: 10.1086/592207.
This study sets out to investigate whether introducing molecular genetic measures into an analysis of sexual partner variety will yield novel sociological insights. The data source is the white male DNA sample in the National Longitudinal Study of Adolescent Health. The authors' empirical gene-environment interaction analysis produces a robust protective effect of the 9R/9R genotype relative to the Any10R genotype in the dopamine transporter gene (DAT1). This protective effect tends to be lost in schools in which higher proportions of students start having sex early, as well as in individuals with relatively low cognitive ability. The genetics-informed socio logical analysis here suggests that explaining a human trait or behavior may require a theory that accommodates the complex interplay between social contextual and individual influences and genetic predispositions.
本研究旨在探讨将分子遗传学方法引入性伴侣多样性分析是否会产生新的社会学见解。数据来源是青少年健康全国纵向研究中的白人男性DNA样本。作者的实证基因-环境相互作用分析发现,多巴胺转运体基因(DAT1)中的9R/9R基因型相对于Any10R基因型具有强大的保护作用。在学生较早开始性行为比例较高的学校以及认知能力相对较低的个体中,这种保护作用往往会消失。此处基于遗传学的社会学分析表明,解释人类特征或行为可能需要一种能够兼顾社会环境与个体影响以及基因倾向之间复杂相互作用的理论。