Wu Song, Yang Jie, Wu Rongling
St. Jude Children's Research Hospital, USA.
Stat Appl Genet Mol Biol. 2010;9:Article32. doi: 10.2202/1544-6115.1578. Epub 2010 Aug 19.
The genetic control of a complex trait can be studied by testing and mapping the genotypes of the underlying quantitative trait loci (QTLs) through their associations with observable marker genotypes. All existing statistical methods for QTL mapping assume an equilibrium population, allowing marker-QTL associations to be simply described at the gametic level. However, many mapping populations in practice may deviate from equilibrium; thus, gametic associations cannot reflect marker-QTL associations at the genotype level. We develop a robust model for mapping QTLs in a non-equilibrium natural population in which individuals are not necessarily randomly mating due to various evolutionary forces. Without use of Hardy-Weinberg equilibrium, the new model founds marker-QTL associations directly on the genotypes, specified by a group of disequilibrium parameters. Simulation studies were performed to test the statistical properties of the model, which suggests that the new model covers current mapping models and can be safely used for any data set.
复杂性状的遗传控制可以通过检测和定位潜在数量性状基因座（QTL）的基因型，并将其与可观察到的标记基因型进行关联来研究。所有现有的QTL定位统计方法都假定群体处于平衡状态，使得标记-QTL关联能够在配子水平上得到简单描述。然而，在实际中许多定位群体可能偏离平衡状态；因此，配子关联无法反映基因型水平上的标记-QTL关联。我们开发了一个稳健的模型，用于在非平衡自然群体中定位QTL，在该群体中，由于各种进化力量，个体不一定随机交配。新模型不使用哈迪-温伯格平衡，而是直接基于由一组不平衡参数指定的基因型来建立标记-QTL关联。进行了模拟研究以测试该模型的统计特性，结果表明新模型涵盖了当前的定位模型，并且可以安全地用于任何数据集。
