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Table 5 Mean and standard deviation (SD) of concordance rate and allelic R 2 calculated for different algorithms, panel densities and scenarios for both imputation to 50K and 777K SNP panels

From: Accuracy of genome-wide imputation in Braford and Hereford beef cattle

  

CR

Allelic R 2

 

No.

Mean

SD

Mean

SD

  

Imputation to the 50K SNP panel

Algorithm

  

Beagle

10

0.927

0.042

0.890

0.067

Fimpute

20

0.943

0.038

0.912

0.061

Panel

  

3K

6

0.864

0.011

0.787

0.016

6K

6

0.946

0.008

0.919

0.011

8K

6

0.952

0.008

0.927

0.011

15K

6

0.973

0.006

0.962

0.008

20K

6

0.953

0.008

0.929

0.011

Scenario

  

NE-P

5

0.943

0.041

0.913

0.065

NE-NP

10

0.935

0.041

0.901

0.066

NNE-P

5

0.943

0.042

0.912

0.067

NNE-NP

10

0.935

0.042

0.901

0.066

  

Imputation to the 777K SNP panel

Algorithm

  

Beagle

8

0.895

0.040

0.826

0.066

Fimpute

16

0.921

0.035

0.866

0.059

Panel

  

3K1

3

0.838

0.017

0.728

0.025

6K1

3

0.898

0.016

0.829

0.025

8K1

3

0.902

0.017

0.836

0.026

15K1

3

0.918

0.017

0.863

0.027

20K1

3

0.903

0.017

0.837

0.026

50K

3

0.930

0.016

0.882

0.025

90iK

3

0.952

0.010

0.919

0.016

90tK

3

0.955

0.009

0.925

0.014

Scenario

  

NE-P

8

0.9199

0.037

0.865

0.062

NE-NP

16

0.9082

0.039

0.846

0.065

Step

  

One-step

15

0.8064

0.884

0.674

0.147

Two-step

15

0.8920

0.032

0.819

0.053

  1. 1Means and standard deviation for the two-step analysis.