TABLE 3

Analysis of three-QTL model: estimates of the posterior distribution of the number of QTL, its expectation, and Bayes factors

Estimated distribution for lEstimated expectationBayes factor
Prior<223456>6B(3, 2)B(3, 4)
Poisson(1)0.00020.15490.78470.05830.00210.00010.00002.907915.19753.3649
Poisson(3)0.00010.06180.75240.16580.01890.00080.00003.144712.17473.4035
Poisson(5)0.00000.02980.66080.25730.04650.00520.00043.337813.30463.2103
Poisson(8)0.00000.01430.54740.32510.09490.01610.00193.557514.35493.3676
Uniform(0, 10)0.00000.04990.70240.20960.03230.00520.00063.242314.07623.3511
Uniform(0, 10)*0.00010.06200.79270.13120.01260.00140.00003.098812.78556.0419
Uniform(0, 10)**0.00000.09750.82460.07310.00460.00030.00002.98558.457411.2804
  • * The prior variances for all QTL effects are 1.5

  • ** the prior variances for all QTL effects are 2.5. For other cases, the prior variances for all QTL effects are 1.0.