Kelly J K
Department of Biology, University of Oregon, Eugene 97403, USA.
Genet Res. 1999 Jun;73(3):263-73. doi: 10.1017/s0016672399003766.
Unconditionally deleterious mutations could be an important source of variation in quantitative traits. Deleterious mutations should be rare (segregating at low frequency in the population) and at least partially recessive. In this paper, I suggest that the contribution of rare, partially recessive alleles to quantitative trait variation can be assessed by comparing the relative magnitudes of two genetic variance components: the covariance of additive and homozygous dominance effects (Cad) and the additive genetic variance (Va). If genetic variation is due to rare recessives, then the ratio of Cad to Va should be equal to or greater than 1. In contrast, Cad/Va should be close to zero or even negative if variation is caused by alleles at intermediate frequencies. The ratio of Cad to Va can be estimated from phenotypic comparisons between inbred and outbred relatives, but such estimates are likely to be highly imprecise. Selection experiments provide an alternative estimator for Cad/Va, one with favourable statistical properties. When combined with other biometrical analyses, the ratio test can provide an incisive test of the deleterious mutation model.
无条件有害突变可能是数量性状变异的一个重要来源。有害突变应该很少见(在群体中以低频分离)且至少部分隐性。在本文中,我认为可以通过比较两个遗传方差成分的相对大小来评估罕见的部分隐性等位基因对数量性状变异的贡献:加性效应与纯合显性效应的协方差(Cad)和加性遗传方差(Va)。如果遗传变异是由于罕见的隐性基因,那么Cad与Va的比值应该等于或大于1。相反,如果变异是由中等频率的等位基因引起的,Cad/Va应该接近零甚至为负。Cad与Va的比值可以从近交和远交亲属之间的表型比较中估计出来,但这样的估计可能非常不精确。选择实验为Cad/Va提供了另一种估计方法,一种具有良好统计特性的方法。当与其他生物统计学分析相结合时,比值检验可以对有害突变模型进行敏锐的检验。