Risch N
Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06510.
Am J Hum Genet. 1988 Feb;42(2):353-64.
A new, statistical test for linkage heterogeneity is described. It is a likelihood-ratio test based on a beta distribution for the prior distribution of the recombination fraction among families (or individuals). The null distribution for this statistic (called the B-test) is derived under a broad range of circumstances. Two other heterogeneity test statistics--the admixture test or A-test first described by Smith and Morton's test (here referred to as the K-test)--are also examined. The probability distribution for the K-test statistic is very sensitive to family size, whereas the other two statistics are not. All three statistics are somewhat sensitive to the magnitude of the recombination fraction theta. Critical values for each of the test statistics are given. A conservative approximation for both the A-test and B-test is given by a chi 2 distribution when P/2 instead of P is used for the observed significance level. In terms of power, the B-test performs best among the three tests over a broad range of alternate heterogeneity hypotheses--except for the specific case of admixture with loose linkage, in which the A-test performs best. Overall, the difference in power among the three tests is not large. An application to some recently published data on the fragile-X syndrome and X-chromosome markers is given.
本文描述了一种用于连锁异质性的新型统计检验方法。它是一种基于β分布的似然比检验,用于家庭(或个体)间重组率的先验分布。在此广泛情形下推导出该统计量(称为B检验)的零分布。还研究了另外两种异质性检验统计量——首先由史密斯和莫顿描述的混合检验或A检验(此处称为K检验)。K检验统计量的概率分布对家庭规模非常敏感,而其他两种统计量则不然。所有这三种统计量对重组率θ的大小都有些敏感。给出了每个检验统计量的临界值。当使用P/2而非P作为观察到的显著性水平时,A检验和B检验的保守近似值由卡方分布给出。在功效方面,在广泛的替代异质性假设中,B检验在这三种检验中表现最佳——除了松散连锁混合的特定情况,在这种情况下A检验表现最佳。总体而言,这三种检验在功效上的差异不大。给出了其在一些最近发表的关于脆性X综合征和X染色体标记数据中的应用。