TABLE 3

Estimates of the average coefficient of dominance (± standard error) for a model where hN followd a beta distribution with mean Embedded Image or 0.2 and variance Embedded Image or 0.02, respectively, and has a correlation with s values of r ≅ −0.4

Methodλ = 0.2, = 0.02,
 β = 2λ = 0.2, = 0.02,
 β = 1.01λ = 0.006, = 0.2,
 β = 1.01λ = 0.006, = 0.2,
 β = 1.01
N0.4 0.4 0.4 0.2
r−0.41−0.38−0.40−0.37
Embedded ImageSIM 1030.40 ± 0.0030.46 ± 0.0040.47 ± 0.0380.23 ± 0.015
DA 1030.40 ± 0.0040.45 ± 0.0040.48 ± 0.0070.24 ± 0.004
DA 1050.36 ± 0.0040.52 ± 0.0220.53 ± 0.0410.23 ± 0.023
DA 1070.35 ± 0.0040.46 ± 0.0210.51 ± 0.0280.26 ± 0.023
N(1/s)0.35 ± 0.0010.51 ± 0.0040.51 ± 0.0050.23 ± 0.004
by.xSIM 1030.26 ± 0.003 (0.26)0.23 ± 0.004 (0.23)0.18 ± 0.011 (0.24)0.07 ± 0.010 (0.11)
DA 1030.26 ± 0.002 (0.26)0.24 ± 0.003 (0.24)0.19 ± 0.005 (0.25)0.07 ± 0.002 (0.11)
DA 1050.20 ± 0.004 (0.21)0.18 ± 0.005 (0.19)0.17 ± 0.005 (0.23)0.03 ± 0.003 (0.07)
DA 1070.19 ± 0.003 (0.20)0.18 ± 0.005 (0.19)0.16 ± 0.006 (0.22)0.02 ± 0.002 (0.06)
N(s)0.19 ± 0.0010.17 ± 0.0000.17 ± 0.0010.04 ± 0.001
Embedded ImageSIM 1030.35 ± 0.0020.35 ± 0.0030.27 ± 0.0110.13 ± 0.010
DA 1030.35 ± 0.0010.35 ± 0.0020.28 ± 0.0050.12 ± 0.002
DA 1050.31 ± 0.0020.30 ± 0.0030.26 ± 0.0020.08 ± 0.002
DA 1070.30 ± 0.0010.30 ± 0.0030.26 ± 0.0050.08 ± 0.002
N0.25 ± 0.0010.25 ± 0.0010.25 ± 0.0000.07 ± 0.001
1/bx.ySIM 1030.39 ± 0.003 (0.42)0.37 ± 0.004 (0.40)0.27 ± 0.010 (0.33)0.19 ± 0.011 (0.21)
DA 1030.39 ± 0.001 (0.41)0.37 ± 0.002 (0.39)0.29 ± 0.004 (0.34)0.29 ± 0.003 (0.22)
DA 1050.35 ± 0.001 (0.44)0.33 ± 0.002 (0.45)0.27 ± 0.004 (0.33)0.10 ± 0.007 (0.17)
DA 1070.34 ± 0.002 (0.47)0.32 ± 0.002 (0.45)0.28 ± 0.002 (0.34)0.12 ± 0.004 (0.17)
NEmbedded Image0.34 ± 0.0000.32 ± 0.0000.32 ± 0.0000.15 ± 0.000
  • Parameters and definitions are as in Table 2. MSB predictions (in italics) were calculated from 1,000,000 sampled mutations, using the expressions in Table 1.