在三亲子代和同胞群组中对二项性状的基因-环境交互作用检验。
Gene-environment interaction tests for dichotomous traits in trios and sibships.
机构信息
Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
出版信息
Genet Epidemiol. 2009 Dec;33(8):691-9. doi: 10.1002/gepi.20421.
When testing for genetic effects, failure to account for a gene-environment interaction can mask the true association effects of a genetic marker with disease. Family-based association tests are popular because they are completely robust to population substructure and model misspecification. However, when testing for an interaction, failure to model the main genetic effect correctly can lead to spurious results. Here we propose a family-based test for interaction that is robust to model misspecification, but still sensitive to an interaction effect, and can handle continuous covariates and missing parents. We extend the FBAT-I gene-environment interaction test for dichotomous traits to using both trios and sibships. We then compare this extension to joint tests of gene and gene-environment interaction, and compare the joint test additionally to the main effects test of the gene. Lastly, we apply these three tests to a group of nuclear families ascertained according to affection with Bipolar Disorder.
当测试遗传效应时，如果不能考虑基因-环境相互作用，可能会掩盖遗传标记与疾病之间真正的关联效应。基于家系的关联测试很受欢迎，因为它们完全不受群体亚结构和模型误设定的影响。然而，当测试相互作用时，如果不能正确地模拟主要的遗传效应，可能会导致虚假的结果。在这里，我们提出了一种基于家系的相互作用测试方法，它对模型误设定具有鲁棒性，但仍然对相互作用效应敏感，并且可以处理连续协变量和缺失的父母。我们将 FBAT-I 基因-环境相互作用测试扩展到用于二分类性状的同时使用三体型和同胞对。然后，我们将这种扩展与基因和基因-环境相互作用的联合检验进行比较，并将联合检验与基因的主要效应检验进行比较。最后，我们将这三种检验应用于一组根据双相情感障碍的发病情况确定的核家族。
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