Research Article

A Statistical Variance Components Framework for Mapping Imprinted Quantitative Trait Locus in Experimental Crosses

Table 3

The power, MLEs, and REMLs of the QTL position, and effect parameters estimated based on 100 simulation replicates for a QTL showing different imprinting effects under the sampling design. The square roots of the mean squared errors of the parameters are given in parentheses.

EstimationPosition
method48 cm10860.50.52Pow Pow ipower

30

ML48.9810.068.025.942.940.100.650.252.040.980.990.91
(7.36)(0.716)(0.388)(0.722)(1.197)(0.217)(0.694)(0.426)(0.207)
REML48.549.967.955.902.950.090.640.571.970.970.990.86
(9.62)(0.705)(0.428)(0.747)(1.501)(0.180)(0.598)(0.609)(0.226)
03

ML46.6210.058.026.080.092.760.690.302.050.971.000.89
(8.11)(0.680)(0.442)(0.584)(0.201)(1.052)(0.722)(0.430)(0.193)
REML48.710.047.985.910.092.950.610.571.980.960.980.88
(7.40)(0.560)(0.506)(0.615)(0.195)(1.279)(0.663)(0.544)(0.225)
12

ML47.810.098.006.110.842.040.660.322.020.971.000.24
(7.83)(0.634)(0.468)(0.666)(0.615)(0.994)(0.811)(0.475)(0.203)
REML49.6610.027.965.901.081.730.680.612.000.970.990.09
(11.06)(0.606)(0.548)(0.668)(0.679)(0.958)(0.707)(0.616)(0.216)

Po and Po correspond to the overall QTL effect test (2.27) calculated using the empirical and theoretical cutoffs, respectively; ipower refers to the imprinting test power corresponding to test (2.29). See Table 2 for explanations of other parameters.