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. 2007 Feb;175(2):855–865. doi: 10.1534/genetics.106.059808

TABLE 2.

CPH model: simulation results for the ith tested locus in a backcross

Effect
C.P.: Estimated effect ± SE:
Type Inline graphic Inline graphic Inline graphic Inline graphic % P < 0.05
EA 0.55 0 3 0.16 ± 0.12 24
0.55 0 5 0.24 ± 0.12 50
0.55 0 7 0.33 ± 0.13 80
0.55 0 9 0.37 ± 0.13 82
0.55 0 11 0.38 ± 0.13 89
LA 0 0.55 3 0.37 ± 0.13 81
0 0.55 5 0.29 ± 0.13 61
0 0.55 7 0.21 ± 0.13 32
0 0.55 9 0.16 ± 0.12 23
0 0.55 11 0.08 ± 0.13 12
IA 0.55 −0.55 3 −0.27 ± 0.12 52
0.55 −0.55 5 −0.006 ± 0.12 7
0.55 −0.55 7 0.06 ± 0.13 10
0.55 −0.55 9 0.15 ± 0.13 21
0.55 −0.55 11 0.23 ± 0.12 50
PA 0.55 0.55 3 0.59 ± 0.13 100
0.55 0.55 5 0.59 ± 0.12 100
0.55 0.55 7 0.57 ± 0.12 100
0.55 0.55 9 0.61 ± 0.12 100
0.55 0.55 11 0.58 ± 0.13 100

Estimation results using the CPH model are shown. Types EA, LA, IA, and PA refer to early-, late-, inversely, and proportionally acting QTL, respectively. C.P., change point. The standard error (SE) is empirically derived from the distribution of the parameter estimates (based on N = 100 independent experiments). % P < 0.05 refers to the percentage of the experiments that resulted in significant detection of an effect.