Table 5. Epistatic QTL detection in Monte Carlo simulation experiment (200 replicates).
QTL | True value | Estimate | ||||||
Chr. | Position (cM) | Variance | r 2 (%) | Power(%) | Position (cM) | Variance | r 2 (%) | |
Main-effect | 1 | 50 | 0.4 | 2 | 83.5 | 50.0(0.0) | 0.3967(0.1317) | 2.04(0.66) |
2 | 100 | 1.0 | 5 | 97.5 | 100.0(0.0) | 0.9441(0.2544) | 4.88(1.31) | |
3 | 200 | 2.0 | 10 | 99.5 | 200.0(0.0) | 1.9239(0.5039) | 9.90(2.35) | |
4 | 350 | 0.4 | 2 | 82.0 | 350.0(0.0) | 0.3953(0.1371) | 2.03(0.70) | |
5 | 400 | 1.0 | 5 | 95.5 | 400.0(0.0) | 0.9741(0.3574) | 4.98(1.71) | |
Environment | 1.0 | 5 | 99.0 | 0.9408(0.2294) | 4.86(1.14) | |||
Environmental | 2 | 150 | 0.4 | 2 | 98.5 | 150.0(0.0) | 0.3766(0.1255) | 1.96(0.67) |
interaction | 3 | 270 | 2.0 | 10 | 100.0 | 270.0(0.0) | 1.9703(0.3007) | 10.21(1.57) |
5 | 400 | 1.0 | 5 | 99.5 | 400.0(0.0) | 0.9354(0.2261) | 4.83(1.12) | |
Epistasis | 1 & 2 | 10 & 130 | 0.4 | 2 | 97.0 | 10.0(1.0) & 129.9(1.4) | 0.3444(0.1262) | 1.78(0.65) |
2 & 3 | 100 & 250 | 1.0 | 5 | 100.0 | 100.0(0.0) & 250.0(0.0) | 0.9825(0.2196) | 5.09(1.13) | |
3 & 5 | 200 & 400 | 0.4 | 2 | 85.5 | 200.0(0.0) & 399.9(1.5) | 0.3842(0.1275) | 1.98(0.66) | |
3 & 4 | 270 & 360 | 2.0 | 10 | 100.0 | 270.1(0.7) & 360.0(1.6) | 1.9350(0.3605) | 9.99(1.79) | |
4 & 5 | 350 & 450 | 2.0 | 10 | 100.0 | 350.1(0.7) & 450.0(0.0) | 1.9814(0.3912) | 10.25(1.98) | |
False positive rate (%) | 0.0545 |