Department of Agronomy, Fujian Agricultural University, Fuzhou, Fujian, People's Republic of China.
Theor Appl Genet. 1996 Mar;92(3-4):477-82. doi: 10.1007/BF00223696.
A previous paper proposed a new method of QTL mapping called joint mapping (JM). Some problems have been found in model fitting and model testing due to the neglect of the correlations among different observations of the dependent variable in this model. The present paper reports a method of solving the problems. The coefficient of correlation between two observations of the dependent variable is derived. A generalized least square (GLS) approach is developed for model fitting and a strategy and procedure of model testing based on a chi-square test is suggested. A simulated example is given. The example shows that the JM method is quite efficient in mapping multiple linked QTLs.
先前的一篇论文提出了一种新的 QTL 作图方法，称为联合作图（JM）。由于在该模型中忽略了因变量不同观测值之间的相关性，因此在模型拟合和模型检验中发现了一些问题。本文报告了一种解决这些问题的方法。推导了因变量两个观测值之间的相关系数。为模型拟合开发了广义最小二乘法（GLS）方法，并提出了基于卡方检验的模型检验策略和程序。给出了一个模拟示例。该示例表明，JM 方法在绘制多个连锁 QTL 时非常有效。
