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一种用于哈迪-温伯格检验的不平衡系数方法。

A disequilibrium coefficient approach to Hardy-Weinberg testing.

作者信息

Hernández J L, Weir B S

机构信息

Department of Statistics, North Carolina State University, Raleigh 27695-8203.

出版信息

Biometrics. 1989 Mar;45(1):53-70.

PMID:2720060
Abstract

A comparison was made of various tests for Hardy-Weinberg equilibrium, with emphasis on methods for multiple alleles. For an overall test of deviations from equilibrium, the classical chi-square goodness-of-fit test generally performs well, with continuity corrections needed for extreme gene frequencies or extreme departures from equilibrium. For small samples, probability tests are preferable and for multiple alleles these probability tests may be performed on a sample of all possible sets of genotypic frequencies having a fixed set of sample gene frequencies. Numerical work showed that the continuity-corrected chi-square was the most conservative test procedure, and the uncorrected chi-square the least conservative. With multiple alleles, a better appreciation of the nature of departures from equilibrium is given by the use of disequilibrium coefficients, defined for each heterozygote as the difference between observed and expected frequencies. Likelihood-ratio tests can be used to test each of these coefficients individually but a satisfactory procedure is to divide the squared estimate of each coefficient by its estimated variance and regard the ratio as a single-degree-of-freedom chi-square. Numerical studies confirmed the validity of this approach, which has the great advantage of not requiring solutions of nonlinear equations.

摘要

对哈迪-温伯格平衡的各种检验方法进行了比较,重点是多等位基因的方法。对于偏离平衡的总体检验,经典的卡方拟合优度检验通常表现良好,对于极端基因频率或与平衡的极端偏离需要进行连续性校正。对于小样本,概率检验更可取,对于多等位基因,这些概率检验可以在具有固定样本基因频率集的所有可能基因型频率集的样本上进行。数值研究表明,连续性校正的卡方是最保守的检验程序,未校正的卡方是最不保守的。对于多等位基因,通过使用不平衡系数可以更好地理解偏离平衡的性质,不平衡系数为每个杂合子定义为观察频率与预期频率之间的差异。似然比检验可用于单独检验这些系数中的每一个,但一个令人满意的程序是将每个系数的平方估计值除以其估计方差,并将该比率视为单自由度卡方。数值研究证实了这种方法的有效性,该方法具有不需要求解非线性方程的巨大优势。

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