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Table 3 SNP-wise imputation accuracy from the Bovine HD BeadChip (~ 777 K) to whole-genome sequence in Nellore cattle using FImpute3 and Minimac4 by classes of MAF and functional annotation

From: Imputation accuracy to whole-genome sequence in Nellore cattle

 

Min

1st Qu

Median

Mean

3rd Qu

Max

High

 Overall

   FImpute3

0.00

0.70

0.90

0.78

0.97

1.00

   Minimac4

0.00

0.76

0.92

0.79

0.98

1.00

   Rsq_Minimac4

0.00

0.62

0.87

0.75

0.96

1.00

 MAF ≀ 0.03

   FImpute3

0.00

0.49

0.79

0.69

1.00

1.00

   Minimac4

0.00

0.35

0.74

0.65

1.00

1.00

   Rsq_Minimac4

0.11

0.34

0.48

0.49

0.63

1.00

Moderate

 Overall

   FImpute3

0.00

0.73

0.91

0.80

0.98

1.00

   Minimac4

0.00

0.78

0.92

0.81

0.98

1.00

   Rsq_Minimac4

0.00

0.65

0.87

0.77

0.96

1.00

 MAF ≀ 0.03

   FImpute3

0.00

0.56

0.83

0.74

1.00

1.00

  Minimac4

0.00

0.49

0.74

0.69

1.00

1.00

   Rsq_Minimac4

0.03

0.35

0.50

0.50

0.65

1.00

Low

 Overall

   FImpute3

0.00

0.80

0.93

0.85

0.99

1.00

   Minimac4

0.00

0.83

0.94

0.86

0.99

1.00

  Rsq_Minimac4

0.00

0.76

0.91

0.81

0.97

1.00

 MAF ≀ 0.03

   FImpute3

0.00

0.66

0.85

0.78

1.00

1.00

   Minimac4

0.00

0.50

0.79

0.71

1.00

1.00

   Rsq_Minimac4

0.02

0.37

0.52

0.52

0.66

1.00

Modifier

 Overall

    FImpute3

0.00

0.81

0.92

0.86

0.98

1.00

   Minimac4

0.00

0.85

0.94

0.88

0.98

1.00

  Rsq_Minimac4

0.00

0.79

0.92

0.84

0.97

1.00

 MAF ≀ 0.03

   FImpute3

0.00

0.61

0.83

0.75

1.00

1.00

   Minimac4

0.00

0.49

0.74

0.70

1.00

1.00

   Rsq_Minimac4

0.00

0.37

0.52

0.52

0.66

1.00

  1. High, variants that cause premature stop codons, loss of function or trigger nonsense-mediated decay; low, variants mostly harmless or unlikely to change protein behavior; moderate, non-disruptive variants that might change protein effectiveness; modifier, non-coding variants or variants affecting non-coding genes, where predictions are difficult or there is no evidence of impact