采用基因-环境设计,以208名初中生为被试,系统考察COMT基因rs6267多态性与青少年期亲子亲合与冲突的关系,以及性别与父母教养行为在其中的调节作用。结果显示 rs6267多态性对亲子关系无显著主效应,但其与亲子亲合、母子情绪冲突的关联模式在男女青少年群体中相反;rs6267多态性与父母积极教养行为对亲子关系无显著交互作用,但其与母亲消极教养行为对母子冲突具有交互作用趋势。
Parent-child relationship has been a longstanding theme of research in developmental psychology. Theories of socialization view parent-child relationship as a family environment which has a significant and profound effect on child development. Since 1990s, studies from qualitative behavior genetics adopting the twin-study design have demonstrated that family environment including parent-child relationship has both genetic and environmental underpinnings. With the advancement of molecular genetics in the last decade, investigations about the gene-environment interactions yielded meaningful findings that significantly updated and deepened the scientific understanding of the nature of parent-child relationship. However, existing research on gene-environment interplay in parent-child relationship has mainly focused on the role of 5-HTTLPR and DRD4 gene polymorphisms, the possible association between COMT gene rs6267 polymorphism and parent-child relationship remains to be examined. Besides, most of previously reported findings were obtained on mother-infant attachment. It remains to be seen whether parent-adolescent relationships also have significant genetic underpinning, and whether there are moderating effects of gender and parenting behavior, including positive and negative parenting behavior on the association between rs6267 polymorphism and parent-adolescent relationship. The present study aimed to extend the previous research by examining the association between rs6267 polymorphism and parent-adolescent relationship, with particular focus on the moderating effect of gender and parenting behavior. The subjects of this study were 208 grade 7-9 adolescents (male = 106, female = 102). DNA was extractedfrom saliva, and genotype at rs6267 was performed for each participant in real time with MassARRAY RT software version 3.0.0.4 and analyzed using the MassARRAY Typer software version 3.4 (Sequenom). Data analysis was performed using the Statistical Package for Social Sciences 18.0 (SPSS 18.0). A series