Uimari P, Thaller G, Hoeschele I
Department of Animal and Range Sciences, Montana State University, Bozeman 59717, USA.
Genetics. 1996 Aug;143(4):1831-42. doi: 10.1093/genetics/143.4.1831.
Information on multiple linked genetic markers was used in a Bayesian method for the statistical mapping of quantitative trait loci (QTL). Bayesian parameter estimation and hypothesis testing were implemented via Markov chain Monte Carlo algorithms. Variables sampled were the augmented data (marker-QTL genotypes, polygenic effects), an indicator variable for linkage or nonlinkage, and the parameters. The parameter vector included allele frequencies at the markers and the QTL, map distances of the markers and the QTL, QTL substitution effect, and polygenic and residual variances. The criterion for QTL detection was the marginal posterior probability of a QTL being located on the chromosome carrying the markers. The method was evaluated empirically by analyzing simulated granddaughter designs consisting of 2000 sons, 20 related sires, and their ancestors.
关于多个连锁遗传标记的信息被用于一种贝叶斯方法，以对数量性状基因座（QTL）进行统计定位。贝叶斯参数估计和假设检验通过马尔可夫链蒙特卡罗算法实现。所抽样的变量包括扩充数据（标记 - QTL基因型、多基因效应）、一个用于表示连锁或非连锁的指示变量以及参数。参数向量包括标记和QTL处的等位基因频率、标记和QTL的图距、QTL替代效应以及多基因和残差方差。QTL检测的标准是QTL位于携带标记的染色体上的边际后验概率。通过分析由2000个儿子、20个相关父系及其祖先组成的模拟孙女设计对该方法进行了实证评估。
