Gene-environment Interaction in Adolescent Depression

青少年抑郁症的基因与环境相互作用

• 批准号: 7223014
• 负责人: Daniel E Adkins
• 金额: $ 1.77万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-11-16 至 2007-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7223014
• 关键词: adolescence (12-20); amines; behavioral /social science research tag; behavioral genetics; child mental disorders; clinical research; depression; disease /disorder proneness /risk; environmental stressor; gender difference; gene environment interaction; gene expression; human data; mental health epidemiology; neural transmission; predoctoral investigator; racial /ethnic difference; young adult human (21-34)

DESCRIPTION (provided by applicant): Several lines of evidence indicate monoaminergic neurotransmission, environmental stress and their interaction play prominent roles in depression etiology. This project will investigate this process in adolescents and young adults by modeling the direct and interactive effects of environmental risk and candidate genes influencing neurotransmission. Using the National Longitudinal Study of Adolescent Health, mixed regression models will extend existing cross-sectional models through comprehensive examination of several candidate genes and more nuanced conceptualization of environmental risk. Further, using latent curve models, longitudinal analyses of main effects, epistasis and gene-environment interaction (GxE) among candidate genes and environmental risk will model trajectories of depression across adolescence and into young adulthood. Proximate and distal environmental risk will be distinguished and the degree to which proximate environmental factors moderate the main and GxE effects of distal factors will be assessed. Finally, as genetic architecture and social influences may vary by group, effect heterogeneity will be examined by stratifying all analyses by race/ethnicity and gender.

描述（由申请人提供）：多项证据表明单胺能神经传递、环境压力及其相互作用在抑郁症病因学中发挥着重要作用。该项目将通过模拟环境风险和影响神经传递的候选基因的直接和交互影响来研究青少年和年轻人的这一过程。利用国家青少年健康纵向研究，混合回归模型将通过对几个候选基因的全面检查和对环境风险的更细致的概念化来扩展现有的横截面模型。此外，使用潜在曲线模型，对候选基因和环境风险之间的主效应、上位性和基因-环境相互作用（GxE）进行纵向分析，将模拟整个青春期和成年早期的抑郁症轨迹。将区分近端和远端环境风险，并评估近端环境因素调节远端因素的主要影响和 GxE 影响的程度。最后，由于遗传结构和社会影响可能因群体而异，因此将通过按种族/民族和性别对所有分析进行分层来检查效果异质性。