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. 2011 Mar 4;6(3):e17334. doi: 10.1371/journal.pone.0017334

Table 4. Parameter estimates under branch-site models along particular MEF2 branch.

Branch-site models Parameter estimates PSS
Foreground MEF2A Branch Model A H0 ω0 = 0.008 P0 = 0.989 ω1 = 1.000 P1 = 0.011 Not allowed −1689.428 0
2 = 1) ω2a fore = 1.000 ω2a back = 0.008 P2a = 0.000
ω2b fore = 1.000 ω2b back = 1.000 P2b = 0.000
Model A H1 ω0 = 0.008 P0 = 0.989 ω1 = 1.000 P1 = 0.011 None −1689.428
ω2a fore = 1.000 ω2a back = 0.008 P2a = 0.000
ω2b fore = 1.000 ω2b back = 1.000 P2b = 0.000
Foreground MEF2C Branch Model A H0 ω0 = 0.008 P0 = 0.989 ω1 = 1.000 P1 = 0.011 Not allowed −1689.428 0
2 = 1) ω2a fore = 1.000 ω2a back = 0.008 P2a = 0.000
ω2b fore = 1.000 ω2b back = 1.000 P2b = 0.000
Model A H1 ω0 = 0.008 P0 = 0.989 ω1 = 1.000 P1 = 0.011 None −1689.428
ω2a fore = 1.000 ω2a back = 0.008 P2a = 0.000
ω2b fore = 1.000 ω2b back = 1.000 P2b = 0.000
Foreground MEF2B Branch Model A H0 ω0 = 0.011 P0 = 0.832 ω1 = 1.000 P1 = 0.011 Not allowed −1686.781 3.062*
2 = 1) ω2a fore = 1.000 ω2a back = 0.011 P2a = 0.155
ω2b fore = 1.000 ω2b back = 1.000 P2b = 0.000
Model A H1 ω0 = 0.011 P0 = 0.871 ω1 = 1.000 P1 = 0.011 9 (0.851) 12 (0.862) −1685.250
ω2a fore = 8.299 ω2a back = 0.011 P2a = 0.155 14(0.795) 51(0.760)
ω2b fore = 8.299 ω2b back = 1.000 P2b = 0.002 53(0.996**) 64(0.964*)
73(0.647) 85(0.614)
90(0.694)
Foreground MEF2D Branch Model A H0 ω0 = 0.007 P0 = 0.920 ω1 = 1.000 P1 = 0.011 Not allowed −1682.317 3.360*
2 = 1) ω2a fore = 1.000 ω2a back = 0.007 P2a = 0.068
ω2b fore = 1.000 ω2b back = 1.000 P2b = 0.001
Model A H1 ω0 = 0.011 P0 = 0.944 ω1 = 1.000 P1 = 0.011 9(0.909) 50(0.963*) −1680.637
ω2a fore = 999.000 ω2a back = 0.011 P2a = 0.045
ω2b fore = 999.000 ω2b back = 1.000 P2b = 0.001

Note: Model A H0 is specified using fixed ω 2 = 1. The p-value of Model A H0 versus Model A H1 for the MEF2B and MEF2D branches is 0.040 and 0.033, respectively, which are considered to be statistically significant.