Department of Data Analysis, Ghent University, Henri Dunantlaan 1, Ghent, Belgium.
Biostatistics. 2010 Apr;11(2):213-25. doi: 10.1093/biostatistics/kxp061. Epub 2010 Feb 12.
We develop a locally efficient test for (multiplicative) gene-environment interaction in family studies that collect genotypic information and environmental exposures for affected offspring along with genotypic information for their parents or relatives. The proposed test does not require modeling the effects of environmental exposures and is doubly robust in the sense of being valid if either a model for the main genetic effect holds or a model for the expected environmental exposure (given the offspring affection status and parental mating types) but not necessarily both. It extends the FBAT-I to allow for missing parental mating types and families of arbitrary size. Simulation studies and the analysis of an Alzheimer's disease study confirm the adequate performance of the proposed test.
我们开发了一种在收集受影响后代的基因型信息和环境暴露情况以及其父母或亲属的基因型信息的家族研究中针对（乘法）基因-环境交互作用的局部有效的检验方法。该检验方法不需要对环境暴露的影响进行建模，并且在以下两种情况下是双重稳健的：一种是主要遗传效应的模型成立，另一种是预期环境暴露的模型（根据后代的患病状况和父母的交配类型），而不一定需要同时满足这两种情况。它扩展了 FBAT-I 以允许缺失的父母交配类型和任意大小的家庭。模拟研究和阿尔茨海默病研究的分析证实了所提出检验方法的良好性能。
