Permutation tests for multiple loci affecting a quantitative character.
The problem of detecting minor quantitative trait loci (QTL) responsible for genetic variation not explained by major QTL is of importance in the complete dissection of quantitative characters. Two extensions of the permutation-based method for estimating empirical threshold values are presented. These methods, the conditional empirical threshold (CET) and the residual empirical threshold (RET), yield critical values that can be used to construct tests for the presence of minor QTL effects while accounting for effects of known major QTL. The CET provides a completely nonparametric test through conditioning on markers linked to major QTL. It allows for general nonadditive interactions among QTL, but its practical application is restricted to regions of the genome that are unlinked to the major QTL. The RET assumes a structural model for the effect of major QTL, and a threshold is constructed using residuals from this structural model. The search space for minor QTL is unrestricted, and RET-based tests may be more powerful than the CET-based test when the structural model is approximately true.
Doerge
R W
RW
Biometrics Unit, Cornell University, Ithaca, New York 14853, USA. doerge@stat.purdue.edu
Churchill
G A
GA
D000483:Alleles; D000818:Animals; D001699:Biometry; D003433:Crosses, Genetic; D005260:Female; D008040:Genetic Linkage; D005819:Genetic Markers; D005821:Genetic Techniques / Q000706:statistics & numerical data; D014644:Genetic Variation; D005838:Genotype; D006801:Humans; D008297:Male; D008957:Models, Genetic; D009010:Monte Carlo Method; D012275:Oryza / Q000235:genetics; D010641:Phenotype
D005819:Genetic Markers