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.