Table 3

Accuracy and bias of predicted GBVs in Data III
Method Trait A Trait B Trait C
MCBayes π = 0 rTBV,pGBV 0.766 ± 0.058 0.500 ± 0.127 0.322 ± 0.082
bTBV,pGBV 0.977 ± 0.048 0.998 ± 0.356 0.967 ± 0.773
0 < π <1 rTBV,pGBV 0.723 ± 0.069 0.503 ± 0.141 0.202 ± 0.119
bTBV,pGBV 1.065 ± 0.076 1.195 ± 0.530 0.799 ± 0.523
varBayes π = 0 rTBV,pGBV 0.726 ± 0.072 0.447 ± 0.131 0.261 ± 0.134
bTBV,pGBV 0.984 ± 0.052 0.582 ± 0.241 0.383 ± 0.181
0 < π <1 rTBV,pGBV 0.679 ± 0.081 0.387 ± 0.115 0.228 ± 0.112
bTBV,pGBV 0.840 ± 0.068 0.389 ± 0.132 0.240 ± 0.110
single-trait π =0 rTBV,pGBV 0.760 ± 0.058 0.345 ± 0.070 0.336 ± 0.068
(MCBayes) bTBV,pGBV 0.965 ± 0.047 0.931 ± 0.368 0.969 ± 0.510
0 < π <1 rTBV,pGBV 0.758 ± 0.057 0.362 ± 0.105 0.354 ± 0.101
bTBV,pGBV 1.086 ± 0.068 1.455 ± 1.401 1.251 ± 1.310

Averages and standard errors based on 100 replicates of simulated data are listed for prediction accuracy, rpGBV,TBV, and bias, bpGBV,TBV, of each trait. For the settings of 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

Open Data