Baret P V, Knott S A, Visscher P M
University of Edinburgh, Institute of Cell, Animal and Population Biology, Scotland.
Genet Res. 1998 Oct;72(2):149-58. doi: 10.1017/s0016672398003450.
Methods of identification of quantitative trait loci (QTL) using a half-sib design are generally based on least-squares or maximum likelihood approaches. These methods differ in the genetical model considered and in the information used. Despite these differences, the power of the two methods in a daughter design in very similar. Using an analogy with a one-way analysis of variance, we propose an equation connecting the two test-statistics (F ratio for regression and likelihood ratio test in the case of the maximum likelihood). The robustness of this relationship is tested by simulation for different single QTL models. In general, the correspondence between the two statistics is good under both the null hypothesis and the alternative hypothesis of a single QTL segregating. Practical implications are discussed with particular emphasis on the theoretical distribution of the likelihood ratio test.
利用半同胞设计鉴定数量性状基因座（QTL）的方法通常基于最小二乘法或最大似然法。这些方法在所考虑的遗传模型和所使用的信息方面存在差异。尽管存在这些差异，但两种方法在女儿设计中的功效非常相似。通过与单向方差分析进行类比，我们提出了一个连接两个检验统计量的方程（在最大似然情况下为回归的F比率和似然比检验）。通过针对不同的单QTL模型进行模拟，检验了这种关系的稳健性。一般来说，在单个QTL分离的零假设和备择假设下，两个统计量之间的对应关系都很好。讨论了实际意义，特别强调了似然比检验的理论分布。
