DeFries J C, Fulker D W
Institute for Behavioral Genetics, University of Colorado, Boulder.
Acta Genet Med Gemellol (Roma). 1988;37(3-4):205-16. doi: 10.1017/s0001566000003810.
The multiple regression analysis of twin data in which a cotwin's score is predicted from a proband's score and the coefficient of relationship (the basic model) provides a statistically powerful test of genetic etiology. When an augmented model that also contains an interaction term is fitted to the same data set, direct estimates of heritability (h2) and the proportion of variance due to shared environmental influences (c2) are obtained. A simple transformation of selected twin data prior to regression analysis facilitates direct estimates of h2g (an index of the extent to which the difference between the mean of probands and that of the unselected population is heritable) and a test of the hypothesis that the etiology of deviant scores differs from that of variation within the normal range.
对双胞胎数据进行多元回归分析，其中根据先证者的分数和亲缘系数预测同卵双胞胎的分数（基本模型），可对遗传病因进行统计学上有力的检验。当将一个同样包含交互项的增强模型应用于同一数据集时，可获得遗传力（h2）和由共享环境影响导致的方差比例（c2）的直接估计值。在回归分析之前对选定的双胞胎数据进行简单变换，有助于直接估计h2g（一个衡量先证者均值与未选定人群均值之间差异的遗传程度的指标），并检验偏差分数的病因与正常范围内变异的病因不同这一假设。
