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. 2011 Mar 15;6(3):e17773. doi: 10.1371/journal.pone.0017773

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