Crop Science Department, University of Saskatchewan, Saskatoon, Canada.
Theor Appl Genet. 1971 Jan;41(5):216-26. doi: 10.1007/BF00279773.
The phenotypic values associated with the 3 (n) genotypes obtained from all combinations of genes at n segregating loci, each with two alleles, can be completely described in terms of 3 (n) parameters, 3 (n) - 1 of which are attributed to the genetic effects of alleles at the n loci. The descriptions provide a system of linear equations, which can be solved for parameters specifying n additive, n dominance and 3 (n) - 2n - 1 epistatic components of genetic effect. The solutions of the equations were obtained for two- and three-locus cases. The simple linear combination model was convenient for interpreting classical gene interactions in terms of biometrically definable parameters.By the use of the unique solutions of the linear equations, the genetic parameters were directly estimated from the phenotypic values reported by three groups of workers for simplified genetic systems consisting of two or three loci. In most cases nonallelic gene interactions accounted for a major part of the total genetic effect. Conventional biometrical methods of partitioning genotypic sums of squares into various components were found to be inadequate for evaluating the role of epistasis in these simplified genetic systems.
从 n 个分离基因座的所有基因组合中获得的与 3(n)基因型相关的表型值,可以用 3(n)个参数完全描述,其中 3(n) - 1 个参数归因于 n 个基因座上的等位基因的遗传效应。这些描述提供了一个线性方程组系统,可以为指定 n 个加性、n 个显性和 3(n) - 2n - 1 个上位性遗传效应分量的参数求解。对于两基因座和三基因座的情况,都得到了方程组的解。简单的线性组合模型便于根据可生物计量定义的参数来解释经典的基因相互作用。通过使用线性方程组的唯一解,从三组工作者报告的表型值中直接估计了简化遗传系统(由两个或三个基因座组成)的遗传参数。在大多数情况下,非等位基因相互作用占总遗传效应的主要部分。发现传统的生物计量方法将基因型平方和划分为各种分量的方法在评估这些简化遗传系统中的上位性作用方面是不充分的。