Gao He, Zhou Ying, Ma Weijun, Liu Haidong, Zhao Linan
Department of Statistics, School of Mathematical Sciences, Heilongjiang University, Harbin 150080, People's Republic of China.
J Genet. 2013 Dec;92(3):413-21. doi: 10.1007/s12041-013-0282-7.
Testing linkage heterogeneity between two loci is an important issue in genetics. Currently, there are four methods (K-test, A-test, B-test and D-test) for testing linkage heterogeneity in linkage analysis, which are based on the likelihood-ratio test. Among them, the commonly used methods are the K-test and A-test. In this paper, we present a novel test method which is different from the above four tests, called G-test. The new test statistic is based on estimating function, possessing a theoretic asymptotic distribution, and therefore demonstrates its own advantages. The proposed test is applied to analyse a real pedigree dataset. Our simulation results also indicate that the G-test performs well in terms of power of testing linkage heterogeneity and outperforms the current methods to some degree.
检测两个基因座之间的连锁异质性是遗传学中的一个重要问题。目前，在连锁分析中有四种用于检测连锁异质性的方法（K检验、A检验、B检验和D检验），它们基于似然比检验。其中，常用的方法是K检验和A检验。在本文中，我们提出了一种不同于上述四种检验的新检验方法，称为G检验。新的检验统计量基于估计函数，具有理论渐近分布，因此显示出其自身的优势。将所提出的检验应用于分析一个真实的家系数据集。我们的模拟结果还表明，G检验在检测连锁异质性的功效方面表现良好，并且在一定程度上优于现有方法。
