Zhang Han, Zhang Hong, Li Zhaohai, Zheng Gang
Department of Statistics and Finance, University of Science and Technology of China, PR China.
Genet Epidemiol. 2007 May;31(4):316-26. doi: 10.1002/gepi.20212.
Kraft et al. [2005] proposed a method for matched haplotype-based association studies and compared the performances of six analytic strategies for estimating the odds ratio parameters using a conditional likelihood function. Zhang et al. [2006] modified the conditional likelihood and proposed a new method for matched haplotype-based association studies. The main assumptions of Zhang et al. were that the disease was rare, the population was in Hardy-Weinberg equilibrium (HWE), and the haplotypes were independent of the covariates and matching variable(s). In this article, we modify the estimation procedure proposed by Zhang et al. and introduce a fixation index so that the assumption of HWE is relaxed. Using the Wald test, we compare the current modified method with the procedure developed by Kraft et al. through simulations. The results show that the modified method is uniformly more powerful than that described in Kraft et al. Furthermore, the results indicate that the modified method is quite robust to the rare disease assumption.
克拉夫特等人[2005年]提出了一种基于匹配单倍型的关联研究方法,并使用条件似然函数比较了六种估计优势比参数的分析策略的性能。张等人[2006年]修改了条件似然,并提出了一种基于匹配单倍型的关联研究新方法。张等人的主要假设是疾病罕见、人群处于哈迪-温伯格平衡(HWE),且单倍型与协变量和匹配变量无关。在本文中,我们修改了张等人提出的估计程序,并引入了一个固定指数,从而放宽了HWE假设。使用 Wald 检验,我们通过模拟将当前的修改方法与克拉夫特等人开发的程序进行比较。结果表明,修改后的方法比克拉夫特等人描述的方法具有更强的一致性功效。此外,结果表明修改后的方法对罕见疾病假设相当稳健。