Teng J, Risch N
Department of Statistics, Stanford University, Stanford, California 94305 USA.
Genome Res. 1999 Mar;9(3):234-41.
In this paper we consider test statistics based on individual genotyping. For sibships without parents, but with unaffected as well as affected sibs, we introduce a new test statistic (referred to as TDS), which contrasts the allele frequency in affected sibs versus that estimated for the parents from the entire sibship. For sibships without parents, this test is analogous to the TDT and is completely robust to nonrandom mating patterns. The efficiency of the TDS test is comparable to that of the THS test (which compares affected vs. unaffected sibs and was based on DNA pooling), for sibships with one affected child. However, as the number of affected sibs in the sibship grows, the relative efficiency of the TDS test versus the THS test also increases. For example, for sibships with three affected, one-third fewer families are required; for families with four affected, nearly half as many are required. Thus, when sibships contain multiple affected individuals, the TDS test provides both an increase in power and robustness to nonrandom mating.
在本文中,我们考虑基于个体基因分型的检验统计量。对于没有父母但有未患病以及患病同胞的同胞组,我们引入了一种新的检验统计量(称为TDS),它对比患病同胞中的等位基因频率与从整个同胞组估计的父母的等位基因频率。对于没有父母的同胞组,该检验类似于传递不平衡检验(TDT),并且对非随机交配模式完全稳健。对于有一个患病孩子的同胞组,TDS检验的效率与THS检验(比较患病与未患病同胞且基于DNA混合)的效率相当。然而,随着同胞组中患病同胞数量的增加,TDS检验相对于THS检验的相对效率也会提高。例如,对于有三个患病同胞的同胞组,所需家庭数量减少三分之一;对于有四个患病同胞的家庭,所需家庭数量几乎减半。因此,当同胞组包含多个患病个体时,TDS检验在检验效能增加以及对非随机交配的稳健性方面都有优势。