Table 3

Power of RGC-corrected tests- nominal level 0.05, K = 200, a = (300, 200), b = (200, 300).

F
MAF
Model
T0
T1/2
T1


0.01
p = 0.2
DOM(f0 = 0.1, f1 = f2 = 0.15)
0.134
0.791
0.857
0.777


ADD(f0 = 0.1, f1 = 0.17, f2 = 0.24)
0.401
0.805
0.781
0.734


REC(f0 = f1 = 0.1, f2 = 0.2)
0.803
0.378
0.130
0.728



p = 0.4
DOM(f0 = 0.1, f1 = f2 = 0.15)
0.179
0.704
0.852
0.780


ADD(f0 = 0.1, f1 = 0.14, f2 = 0.18)
0.701
0.905
0.856
0.866


REC(f0 = f1 = 0.1, f2 = 0.2)
0.995
0.936
0.418
0.990

0.02
p = 0.2
DOM(f0 = 0.1, f1 = f2 = 0.15)
0.129
0.682
0.767
0.674


ADD(f0 = 0.1, f1 = 0.17, f2 = 0.24)
0.362
0.698
0.689
0.636


REC(f0 = f1 = 0.1, f2 = 0.2)
0.753
0.333
0.130
0.687



p = 0.4
DOM(f0 = 0.1, f1 = f2 = 0.15)
0.179
0.704
0.852
0.780


ADD(f0 = 0.1, f1 = 0.14, f2 = 0.18)
0.655
0.853
0.811
0.809


REC(f0 = f1 = 0.1, f2 = 0.2)
0.987
0.876
0.403
0.974

The frequencies of null markers are randomly selected from [0.1, 0.5].

Yan et al. BMC Genetics 2009 10:78   doi:10.1186/1471-2156-10-78

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