Jackson M R, Genin E, Knapp M, Escary J L
GenOdyssee S. A., Les Ulis, Courtaboeuf cedex, France.
Ann Hum Genet. 2002 Jul;66(Pt 4):307-21. doi: 10.1017/S0003480002001203.
A popular method for the analysis of case-control association studies is to compare the frequencies of the alleles between cases and controls by means of Pearson's chi2-statistic. Here, an approach for computing the power of this test is presented, which by computer simulation is shown to be more reliable than a previously published power approximation. Since the test based on Pearson's chi2- statistic can be anti-conservative if there is an excess of homozygotes for the susceptibility allele in the general population, it has been proposed to analyze case-control association studies by means of a trend test based on genotypes instead of alleles. We present an accurate power approximation for the trend test. The power approximations are implemented in an available computer program 'GenOdyPower', which in addition has an option to determine the empirical power of these tests by simulations.
病例对照关联研究分析的一种常用方法是通过Pearson卡方统计量比较病例组和对照组之间等位基因的频率。本文提出了一种计算该检验效能的方法，通过计算机模拟表明，该方法比之前发表的效能近似法更可靠。由于如果总体中易感等位基因的纯合子过多，基于Pearson卡方统计量的检验可能会出现反保守性，因此有人建议通过基于基因型而非等位基因的趋势检验来分析病例对照关联研究。我们给出了趋势检验的精确效能近似法。这些效能近似法在一个可用的计算机程序“GenOdyPower”中实现，该程序还具有通过模拟确定这些检验的经验效能的选项。
