中文摘要：

运用问卷法与DNA分型技术,以127名高和低抑郁组初中生为被试,考察CHRM2基因rs1824024多态性与青少年早期抑郁的关系,重点探讨负性生活事件、青少年性别与年级的调节作用。结果发现,CHRM2基因rs1824024多态性与女青少年的抑郁边缘显著关联,T等位基因携带者患高抑郁的风险较低,但该位点与男青少年的抑郁无关;在那些经历低水平负性生活事件的青少年中,T等位基因携带者患高抑郁的可能性边缘显著低于GG型基因携带者;rs1824024多态性与年级对青少年早期抑郁无显著交互作用。

英文摘要：

Depression is among the top five leading causes of disability and disease burden throughout the world.It is well established that depression often has its origins in childhood,and early adolescence is associated with a sharp increase in the prevalence.The mechanism underlying depression has been studied intensively during the last few decades.With the advancement of molecular genetics,a number of studies have been conducted in recent years to identify the candidate genes and investigate the gene-environment interactions related to depression.However,the extant research has mainly focused on serotoninergic and dopaminergic systems,muscarinic-cholinergic pathways have scarcely been investigated.Although several recent studies have investigated the association between the polymorphisms in the CHRM2 gene and depression,the findings have not been always consistent.Meanwhile,no research on the effect of interaction between CHRM2 polymorphism and environment was reported.Besides,whether there is a moderating effect of age on the association between CHRM2 polymorphism and depression remains to be examined.The present study aimed to examine the association between rs1824024 polymorphism in the CHRM2 gene and depression among Chinese early adolescents,with particular focus on the moderating effect of negative life events,gender and grade on the association.The subjects of this study were 127 grade 7-9 adolescents（male = 65,female = 62） of high depression group（n= 59） and lower depression group（n= 68）.The subjects＇ status of depression were identified via adolescent＇s self-rating on the depression questionnaire（CES-D,α = 0.87） and further validated via teacher assessment.DNA was extracted from saliva,and genotype at rs1824024 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 17.0（SPSS 17.0）,and chi-square and