Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, Netherlands.
Behav Genet. 2021 May;51(3):191-203. doi: 10.1007/s10519-021-10046-y. Epub 2021 Feb 13.
The distinction between genetic influences on the covariance (or bivariate heritability) and genetic correlations in bivariate twin models is often not well-understood or only one is reported while the results show distinctive information about the relation between traits. We applied bivariate twin models in a large sample of adolescent twins, to disentangle the association between well-being (WB) and four complex traits (optimism, anxious-depressed symptoms (AD), aggressive behaviour (AGG), and educational achievement (EA)). Optimism and AD showed respectively a strong positive and negative phenotypic correlation with WB, the negative correlation of WB and AGG is lower and the correlation with EA is nearly zero. All four traits showed a large genetic contribution to the covariance with well-being. The genetic correlations of well-being with optimism and AD are strong and smaller for AGG and EA. We used the results of the models to explain what information is retrieved based on the bivariate heritability versus the genetic correlations and the (clinical) implications.
双变量 twin 模型中协方差（或双变量遗传率）和遗传相关的遗传影响之间的区别通常理解得不好，或者只报告其中一个，而结果则显示了特征之间关系的独特信息。我们在青少年 twin 的大样本中应用了双变量 twin 模型，以区分幸福感（WB）和四个复杂特征（乐观、焦虑抑郁症状（AD）、攻击行为（AGG）和教育成就（EA））之间的关联。乐观和 AD 分别与 WB 呈现出强烈的正相关和负相关，WB 与 AGG 的负相关较低，与 EA 的相关接近零。所有四个特征对与幸福感的协方差都有很大的遗传贡献。幸福感与乐观和 AD 的遗传相关较强，而与 AGG 和 EA 的遗传相关较弱。我们使用模型的结果来解释基于双变量遗传率与遗传相关可以获得什么信息，以及（临床）意义。
