Table 2

Accuracy and bias of predicted GBVs in Data II
Method Trait A Trait B Trait C
MCBayes π = 0 rTBV,pGBV 0.902 ± 0.032 0.706 ± 0.103 0.519 ± 0.097
bTBV,pGBV 0.998 ± 0.034 0.902 ± 0.111 0.796 ± 0.179
0 < π <1 rTBV,pGBV 0.868 ± 0.047 0.731 ± 0.120 0.401 ± 0.182
bTBV,pGBV 1.092 ± 0.093 1.189 ± 0.199 1.198 ± 0.553
varBayes π = 0 rTBV,pGBV 0.859 ± 0.049 0.656 ± 0.110 0.438 ± 0.074
bTBV,pGBV 1.059 ± 0.065 0.799 ± 0.105 0.724 ± 0.111
0 < π <1 rTBV,pGBV 0.838 ± 0.061 0.678 ± 0.140 0.330 ± 0.157
bTBV,pGBV 0.983 ± 0.034 0.851 ± 0.138 0.562 ± 0.155
single-trait π =0 rTBV,pGBV 0.884 ± 0.039 0.485 ± 0.086 0.493 ± 0.089
(MCBayes) bTBV,pGBV 0.974 ± 0.035 0.766 ± 0.113 0.766 ± 0.113
0 < π <1 rTBV,pGBV 0.843 ± 0.044 0.597 ± 0.120 0.601 ± 0.109
bTBV,pGBV 1.562 ± 0.261 1.787 ± 0.431 1.832 ± 0.565

Averages and standard errors based on 20 replicates of simulated data are listed for prediction accuracy, rpGBV,TBV, and bias, bpGBV,TBV, of each trait. For the settings of the prior probability that a SNP has zero effect, π, see Table 1.

Hayashi and Iwata

Hayashi and Iwata BMC Bioinformatics 2013 14:34   doi:10.1186/1471-2105-14-34

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