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估计数量性状的单个基因效应:五重实验方法的统计性质。

Estimating single gene effects on quantitative traits : 2. Statistical properties of five experimental methods.

机构信息

Department of Biophysics and Theoretical Biology, The University of Chicago, 920 East 58th Street, 60637, Chicago, Ill, USA.

出版信息

Theor Appl Genet. 1985 Mar;69(5-6):631-6. doi: 10.1007/BF00251115.

Abstract

Experimental designs for measuring the effects of single loci on quantitative traits are compared for statistical properties. The designs tested are single population, combined strains, multiple strains, diallel of strains, and co-isogenic strains. Testing was done by simulating population genotypic and phenotypic arrays. Statistical properties measured are type I error, power, bias and efficiency. The relative ranking of designs is consistent for all properties and over eight conditions examined. The co-isogenic design is superior, followed closely by the single population method. The other three designs are similar in ability, with the diallel design somewhat superior. Based on its good statistical performance and wide feasibility, the single population method is recommended. The diallel method provides the most information on genetic components of variation.

摘要

比较了用于测量单基因座对数量性状影响的实验设计的统计性质。测试的设计有单群体、组合品系、多个品系、品系的双列杂交和共同基因系。通过模拟群体基因型和表型数组进行测试。测量的统计性质有Ⅰ型错误、功效、偏差和效率。在所有性质和八个检查条件下,设计的相对排名都是一致的。共同基因系设计最优,其次是单群体方法。其他三种设计能力相似,双列杂交设计稍优。基于其良好的统计性能和广泛的可行性,推荐使用单群体方法。双列杂交方法提供了关于变异遗传组成的最多信息。

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