Table 2 Summary of the FPR and TPR under different models
Simulation ScenarioStatisticsMean of FPR in Deleterious ModelSD of FPR in Deleterious ModelFocal Window TPR in Mild-Pos ModelFocal Window TPR in Strong-Pos Model
Model_0; Chr11Max; r = 1e-9pI0.3540.0470.9001.000
RD0.2040.0480.5210.569
U500.1170.0370.4380.432
Q950.4370.0510.8751.000
Model 0, Chr11Max; r = hg19pI0.2290.0860.8851.000
RD0.1340.0610.5770.648
U500.0810.0460.3650.444
Q950.1210.0340.6370.752
Model_h; Chr11Max; r = hg19pI0.0870.1080.9671.000
RD0.0980.1171.0000.654
U500.0970.0360.7670.500
Q950.0990.1201.0000.933
  • For the deleterious model, we computed the false positive rates (FPRs) in 50-kb nonoverlapping windows using the most extreme 5% value from the neutral distribution as the critical value, and show the mean FPR in the third column. For the AI models (Mild-Pos and Strong Pos), we computed the TPRs using the same neutral cutoff value in all windows, and show the TPR in the window that contains the adaptive mutation (“Focal TPR”). Note that a properly calibrated null model should have a FPR of 0.05.