Boomsma D I, Molenaar P C, Orlebeke J F
Department of Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
Genet Epidemiol. 1990;7(1):83-91. doi: 10.1002/gepi.1370070115.
Implicit in the application of the common-factor model as a method for decomposing trait covariance into a genetic and environmental part is the use of factor scores. In multivariate analyses, it is possible to estimate these factor scores for the communal part of the model. Estimation of scores on latent factors in terms of individual observations within the context of a twin/family study amounts to estimation of individual genetic and environmental scores. Such estimates may be of both theoretical and practical interest and may be provided with confidence intervals around the individual estimates. The method is first illustrated with stimulated twin data and next is applied to blood pressure data obtained in a Dutch sample of 59 male adolescent twin pairs. Subjects with high blood pressure can be distinguished into groups with high genetic or high environmental scores.
将共同因素模型作为一种将性状协方差分解为遗传和环境部分的方法来应用时,隐含着对因子得分的使用。在多变量分析中,可以针对模型的公共部分估计这些因子得分。在双胞胎/家庭研究的背景下,根据个体观测值来估计潜在因子的得分,等同于估计个体的遗传和环境得分。这样的估计可能具有理论和实际意义,并且可以在个体估计值周围给出置信区间。该方法首先用模拟的双胞胎数据进行说明,接下来应用于从荷兰59对男性青少年双胞胎样本中获得的血压数据。高血压患者可以被区分为具有高遗传得分或高环境得分的组。