Two Sources of Genetic Liability to Depression: Interpreting the Relationship Between Stress Sensitivity and Depression Under a Multifactorial Polygenic Model

	Two Sources of Genetic Liability to Depression: Interpreting the Relationship Between Stress Sensitivity and Depression Under a Multifactorial Polygenic Model
	Li, Xinying2 ; McGue, Matt 3; Gottesman, Irving I.1,3; Gottesman, II (reprint author), Univ Minnesota, Dept Psychiat, Sch Med, 2450 Riverside Ave, Minneapolis, MN 55454 USA.
心理所单位排序	1
摘要	Psychopathology theories, clinical observations, and research all point to multiple sources of liability to depression. This article uses a longitudinal twin-study design to characterize the contribution of two genetically-influenced sources of depression risk: the first corresponding to stress sensitivity and the second representing risk that is independent of stress sensitivity. The sample consisted of 606 pairs of same-sex adolescent twins recruited from Beijing, China. Mean (SD) age at intake (Wave1) and follow-up (Wave2) was 13.2 (2.6) and 15.1 (2.6) years, respectively. A Reaction Level index was developed to reflect individual differences in stress sensitivity. Biometric models were fit to examine the genetic influence on the variance of and covariance between stress sensitivity and depressive symptoms. Results showed that both Reaction Level and depressive symptoms were moderately heritable. The genetic correlation between depressive symptoms and Reaction Level was estimated to be .884. Genetic contributions to Reaction Level accounted for 37.5% of the total variance of depressive symptoms. Another set of genetic factors, which did not contribute to Reaction Level, accounted for 10.5% of the total variance of depressive symptoms. We interpret our results within the context of a multifactorial polygenic model, whereby depression risk is due to the combined contribution of multiple genetic and environmental factors.
关键词	China Twins Stress sensitivity Endophenotype Depressive symptoms Adolescence
学科领域	Health Psychology,Emotional Psychology
	2012-03-01
语种	英语
发表期刊	BEHAVIOR GENETICS
ISSN	0001-8244
卷号	42 期号:2 页码:268-277
期刊论文类型	Article
收录类别	SCI ; SSCI
项目简介	This study was funded by the Knowledge Innovation Program of the Chinese Academy of Sciences (KSCX2-EW-J-8) and the National Natural Science Foundation of China (31170993). The first author was a postdoctoral guest worker in the Department of Psychology and the Institute of Child Development at the University of Minnesota while working on this project. We thank all the personnel involved in the sample recruitment and data collection. We dedicate this article to the memory of our late and beloved colleague Dr. Xiaojia Ge for his great contribution in founding the Beijing Adolescent Twin Project.
WOS记录号	WOS:000302697100008
资助机构	Chinese Academy of Sciences [KSCX2-EW-J-8] ; National Natural Science Foundation of China [31170993]
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/13324
专题	中国科学院心理健康重点实验室
通讯作者	Gottesman, II (reprint author), Univ Minnesota, Dept Psychiat, Sch Med, 2450 Riverside Ave, Minneapolis, MN 55454 USA.
作者单位	1.Univ Minnesota, Dept Psychiat, Sch Med, Minneapolis, MN 55454 USA 2.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China 3.Univ Minnesota, Dept Psychol, Minneapolis, MN 55455 USA
第一作者单位	中国科学院心理健康重点实验室
推荐引用方式 GB/T 7714	Li, Xinying,McGue, Matt,Gottesman, Irving I.,et al. Two Sources of Genetic Liability to Depression: Interpreting the Relationship Between Stress Sensitivity and Depression Under a Multifactorial Polygenic Model[J]. BEHAVIOR GENETICS,2012,42(2):268-277.
APA	Li, Xinying,McGue, Matt,Gottesman, Irving I.,&Gottesman, II .(2012).Two Sources of Genetic Liability to Depression: Interpreting the Relationship Between Stress Sensitivity and Depression Under a Multifactorial Polygenic Model.BEHAVIOR GENETICS,42(2),268-277.
MLA	Li, Xinying,et al."Two Sources of Genetic Liability to Depression: Interpreting the Relationship Between Stress Sensitivity and Depression Under a Multifactorial Polygenic Model".BEHAVIOR GENETICS 42.2(2012):268-277.

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