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.
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Communicated by J. W. Snape
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Wu, W., Li, W. Model fitting and model testing in the method of joint mapping of quantitative trait loci. Theoret. Appl. Genetics 92, 477–482 (1996). https://doi.org/10.1007/BF00223696
- Joint mapping
- Genetic marker