Prior specification
|
Accuracya
|
Rank correlationb
|
Biasc
|
GEM Cross-validationd
|
---|
p
0
|
b
|
MCMC
|
GEM
|
MCMC
|
GEM
|
MCMC
|
GEM
|
r
I
|
r
II
|
b
I
|
b
II
|
---|
0.99
|
0.01
|
0.87
|
0.80
|
0.56
|
0.42
|
0.91
|
0.87
|
0.92
|
0.93
|
0.97
|
0.98
|
0.99
|
0.001
|
0.88
|
0.87
|
0.49
|
0.51
|
0.88
|
0.86
|
0.94
|
0.94
|
0.97
|
0.97
|
0.999
|
0.01
|
0.88
|
0.79
|
0.57
|
0.41
|
0.94
|
0.88
|
0.91
|
0.93
|
0.99
|
1.00
|
0.999
|
0.001
|
0.90
|
0.84
|
0.54
|
0.51
|
0.92
|
0.84
|
0.92
|
0.91
|
0.96
|
0.95
|
Combined e
|
0.89
|
0.88
|
0.56
|
0.53
|
0.94
|
0.98
|
0.96
|
0.96
|
1.05
|
1.04
|
- aPearson correlation between GEBV and TBV, for MCMC chains and generalized EM algorithm (GEM);
- bSpearman rank correlation between GEBV and TBV for the 10% of the individuals with highest TBV;
- cSlope Coefficient from regressing TBV on GEBV;
- dAccuracy (r: Pearson correlation of GEBV and phenotype, divided by the square root of heritability) and bias (b: slope coefficient from regressing the phenotype on GEBV) as estimated from two 10-fold cross-validation approaches: (I) entire families assigned together to folds and (II) individuals from the same family assigned to different folds;
- eCombined estimates obtained by averaging GEBVs across prior specifications.