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Table 3 Average imputation accuracy (r) of 805 individuals with varying offspring information for different categories of individuals

From: Imputation of non-genotyped individuals based on genotyped relatives: assessing the imputation accuracy of a real case scenario in dairy cattle

  

Off0

Off1

Off2

Off4

Category

n

rsegregation

rphased

rsegregation

rphased

rsegregation

rphased

rsegregation

rphased

Both parents

25

0.70

0.66

0.78

0.78

0.84

0.83

0.93

0.94

SireMGS

756

0.57

0.54

0.73

0.68

0.82

0.77

0.92

0.88

DamPGS

0

-

-

-

-

-

-

-

-

Sire

15

0.50

0.48

0.69

0.68

0.80

0.78

0.93

0.87

Dam

0

-

-

-

-

-

-

-

-

Other

9

0.13

0.13

0.61

0.61

0.77

0.77

0.91

0.91

Total1

805

0.57

0.54

0.73

0.68

0.82

0.77

0.92

0.88

runcorrected2

805

0.83

0.81

0.88

0.86

0.92

0.89

0.96

0.95

  1. Results from both AlphaImpute with phasing (phased) and only segregation analysis (segregation) are reported; average imputation accuracies were split into categories of the closest recent ancestor genotyped and calculated over 10 replications; 1for AlphaImpute phased, the standard deviations for Total were 0.16, 0.13, 0.13, and 0.10 for scenarios Off0, Off1, Off2, and Off4, respectively; for segregation analyses, the standard deviations for Total were 0.12, 0.07, 0.07, and 0.05 for scenarios Off0, Off1, Off2, and Off4, respectively; 2mean of imputation accuracy calculated as the correlation between true genotypes and imputed genotype dosages, both uncorrected for the mean gene content.