Kennedy B W, Quinton M, van Arendonk J A
Centre for Genetic Improvement of Livestock, University of Guelph, Ontario, Canada.
J Anim Sci. 1992 Jul;70(7):2000-12. doi: 10.2527/1992.7072000x.
Studies involving the effects of single genes on quantitative traits may involve closed populations, selection may be practiced, and the quantitative trait of concern may also be influenced by background genes that are inherited in a polygenic manner. It is shown analytically that analysis of such data by ordinary least squares, the usual method of analysis, can lead to finding an excess of spurious significant effects of single genes, when no effect exists, for both randomly and directionally selected populations and can lead to bias in estimates of single-gene effects when selection has been practiced. The bias depends on heritability of the polygenic effects on the trait, selection intensity, mode of inheritance, magnitude of gene effect, gene frequency, and data structure. It is argued that when genotypes of individuals can be identified for all individuals with observations on the trait, use of mixed-model procedures under an animal model treating single-gene effects as fixed effects can provide unbiased estimates of single-gene effects and exact tests of associated hypotheses for pedigreed populations, even when selection is practiced. Results are illustrated through computer simulation.
涉及单个基因对数量性状影响的研究可能涉及封闭群体,可能会进行选择,并且所关注的数量性状也可能受到以多基因方式遗传的背景基因的影响。分析表明,采用普通最小二乘法(通常的分析方法)对此类数据进行分析时,对于随机选择和定向选择的群体,在不存在效应的情况下,可能会导致发现过多虚假的单个基因显著效应,并且在进行选择时可能会导致单基因效应估计出现偏差。偏差取决于多基因效应在性状上的遗传力、选择强度、遗传模式、基因效应大小、基因频率和数据结构。有人认为,当能够对所有具有该性状观测值的个体进行基因型鉴定时,在动物模型下将单基因效应视为固定效应使用混合模型程序,即使在进行选择的情况下,也能为系谱群体提供单基因效应的无偏估计和相关假设的精确检验。通过计算机模拟对结果进行了说明。