Li Yi, Liu Hexuan, Guo Guang
Department of Sociology, 155 Hamilton Hall, University of North Carolina, Chapel Hill, NC 27599.
Department of Sociology and Carolina Population Center, 206 W. Franklin St., University of North Carolina, Chapel Hill, NC 27599.
J Marriage Fam. 2015 Oct;77(5):1217-1233. doi: 10.1111/jomf.12208. Epub 2015 Jun 13.
Using data from the National Longitudinal Study of Adolescent to Adult Health (N = 1,254), the authors investigated whether marriage can foster desistance from delinquency and violence by moderating genetic effects. In contrast to existing gene-environment research that typically focuses on one or a few genetic polymorphisms, they extended a recently developed mixed linear model to consider the collective influence of 580 single nucleotide polymorphisms in 64 genes related to aggression and risky behavior. The mixed linear model estimates the proportion of variance in the phenotype that is explained by the single nucleotide polymorphisms. The authors found that the proportion of variance in delinquency/violence explained was smaller among married individuals than unmarried individuals. Because selection, confounding, and heterogeneity may bias the estimate of the Gene × Marriage interaction, they conducted a series of analyses to address these issues. The findings suggest that the Gene × Marriage interaction results were not seriously affected by these issues.
作者利用青少年到成人健康纵向研究的数据(N = 1254),研究婚姻是否能通过调节基因效应来促进减少犯罪和暴力行为。与现有通常关注一种或几种基因多态性的基因-环境研究不同,他们扩展了最近开发的混合线性模型,以考虑与攻击和危险行为相关的64个基因中580个单核苷酸多态性的集体影响。混合线性模型估计由单核苷酸多态性解释的表型变异比例。作者发现,已婚个体中犯罪/暴力行为变异的解释比例低于未婚个体。由于选择、混杂和异质性可能会使基因×婚姻相互作用的估计产生偏差,他们进行了一系列分析来解决这些问题。研究结果表明,这些问题并未严重影响基因×婚姻相互作用的结果。