Tiret L, Abel L, Rakotovao R
INSERM, Unité 258, Paris, France.
Genet Epidemiol. 1993;10(6):581-6. doi: 10.1002/gepi.1370100642.
Thirty replicates of 200 nuclear families (6 members each) were generated under three GxE interaction models. Segregation analyses of these data were performed using a regressive model taking into account an interaction effect or not. Results showed that ignoring the GxE interaction markedly decreased the power for accepting a major gene and led to serious bias in parameter estimates.
在三种基因与环境交互作用模型下生成了200个核心家庭（每个家庭6名成员）的30个重复样本。使用考虑或不考虑交互效应的回归模型对这些数据进行分离分析。结果表明，忽略基因与环境的交互作用会显著降低接受主基因的效能，并导致参数估计出现严重偏差。
