Fang Hongyan, Yang Yaning, Chen Ling
School of Mathematical Sciences, Anhui University, Hefei, China.
Department of Statistics and Finance, University of Science and Technology of China, Hefei, China,
Hum Hered. 2018;83(4):196-209. doi: 10.1159/000494353. Epub 2019 Mar 13.
Family-based design is one of the most popular designs in genetic studies. Transmission disequilibrium test (TDT) for family trio design is optimal only under the additive trait model and may lose power under the other trait models. The TDT-type tests are powerful only when the underlying trait model is correctly specified. Usually, the true trait model is unknown, and the selection of the TDT-type test is problematic. Several methods, which are robust against the mis-specification of the trait model, have been proposed. In this paper, we propose a new efficiency robust procedure for family trio design, namely, the weighted TDT (WTDT) test.
We combine information of the largest two TDT-type tests by using weights related to the three TDT-type tests and take the weighted sum as the test statistic.
Simulation results demonstrate that WTDT has power close to, but much more robust than, the optimal TDT-type test based on a single trait model. WTDT also outperforms other efficiency robust methods in terms of power. Applications to real and simulated data from Genetic Analysis Workshop (GAW15) illustrate the practical application of the WTDT method.
WTDT is not only efficiency robust to model mis-specifications but also efficiency robust against mis-specifications of risk allele.
基于家系的设计是基因研究中最常用的设计之一。家系三联体设计的传递不平衡检验(TDT)仅在加性性状模型下是最优的,在其他性状模型下可能会降低检验效能。TDT类检验只有在潜在性状模型被正确设定时才具有强大的检验效能。通常,真实的性状模型是未知的,因此TDT类检验的选择存在问题。已经提出了几种对性状模型误设具有稳健性的方法。在本文中,我们提出了一种针对家系三联体设计的新的效能稳健程序,即加权TDT(WTDT)检验。
我们通过使用与三种TDT类检验相关的权重来合并最大的两种TDT类检验的信息,并将加权和作为检验统计量。
模拟结果表明,WTDT的检验效能接近基于单一性状模型的最优TDT类检验,但稳健性更强。在检验效能方面,WTDT也优于其他效能稳健方法。对遗传分析研讨会(GAW15)的真实数据和模拟数据的应用说明了WTDT方法的实际应用。
WTDT不仅对模型误设具有效能稳健性,而且对风险等位基因的误设也具有效能稳健性。