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Table 2 Comparison of genomic prediction accuracy between the stepwise linear mixed model (StepLMM) and genomic best linear unbiased prediction (GBLUP) based on WTCCC simulated data

From: An efficient unified model for genome-wide association studies and genomic selection

\(\varvec{h}^{2}\)

\(\widehat{\varvec{h}}^{2}\)

\(\widehat{\varvec{h}}_{\varvec{q}}^{2} /\widehat{\varvec{h}}^{{2^{\text{a}} }}\)

\(r_{qtl}^{\text{b}}\)

\(r_{poly}^{\text{c}}\)

\(r_{StepLMM}^{\text{d}}\)

\(r_{GBLUP}^{\text{e}}\)

\(b_{StepLMM}^{\text{f}}\)

\(b_{GBLUP}^{\text{g}}\)

0.25

0.25 (0.009)

0.68 (0.026)

0.71 (0.010)

0.27 (0.009)

0.75 (0.007)

0.49 (0.008)

0.89 (0.011)

1.16 (0.055)

0.50

0.52 (0.007)

0.81 (0.013)

0.87 (0.004)

0.23 (0.006)

0.90 (0.002)

0.71 (0.002)

0.94 (0.005)

1.04 (0.042)

0.75

0.76 (0.004)

0.92 (0.007)

0.95 (0.002)

0.18 (0.007)

0.96 (0.001)

0.86 (0.001)

0.98 (0.002)

1.01 (0.022)

  1. aProportion of phenotypic variance explained by the QTL in the models, \(h_{q}^{2} = \frac{{\sigma_{q}^{2} }}{{\sigma_{q}^{2} + \sigma_{g}^{2} + \sigma_{e}^{2} }}\)
  2. bCorrelation between true breeding values and genetic values explained by QTL detected with StepLMM
  3. cCorrelation between true breeding values and genetic values excluding QTL detected with StepLMM
  4. dCorrelation between true breeding values and genomic breeding values estimated with StepLMM
  5. eCorrelation between true breeding values and genomic breeding values estimated with GBLUP
  6. fRegression coefficient of the true on the estimated breeding values with StepLMM
  7. gRegression coefficient of the true on the estimated breeding values with GBLUP