Department of Statistics, Chung-Ang University, Seoul, Korea.
PLoS Genet. 2009 Nov;5(11):e1000741. doi: 10.1371/journal.pgen.1000741. Epub 2009 Nov 26.
For genome-wide association studies in family-based designs, we propose a new, universally applicable approach. The new test statistic exploits all available information about the association, while, by virtue of its design, it maintains the same robustness against population admixture as traditional family-based approaches that are based exclusively on the within-family information. The approach is suitable for the analysis of almost any trait type, e.g. binary, continuous, time-to-onset, multivariate, etc., and combinations of those. We use simulation studies to verify all theoretically derived properties of the approach, estimate its power, and compare it with other standard approaches. We illustrate the practical implications of the new analysis method by an application to a lung-function phenotype, forced expiratory volume in one second (FEV1) in 4 genome-wide association studies.
对于基于家族设计的全基因组关联研究，我们提出了一种新的、普遍适用的方法。新的检验统计量利用了与关联有关的所有可用信息，同时，由于其设计，它保持了与传统仅基于家族内信息的基于家族的方法相同的抗群体混合能力。该方法适用于分析几乎任何性状类型，例如二项、连续、发病时间、多变量等，以及它们的组合。我们使用模拟研究来验证该方法所有理论上推导的性质，估计其功效，并与其他标准方法进行比较。我们通过对 4 项全基因组关联研究中的一个肺功能表型（一秒用力呼气量 FEV1）的应用来说明新分析方法的实际意义。
