Skip to main content

Table 3 Mean (and standard deviation or range for cross validation scenarios) genotype concordance rate (Gen Conc), genotype correlation (Gen Corr), and allele dosage correlation (Dos Corr) between called sequence variants and imputed variants for animals in the validation set in scenarios S2 to S7

From: Highly accurate sequence imputation enables precise QTL mapping in Brown Swiss cattle

Gen Conc

S2

S3

S4

S5

S6

S7

 Beagle

0.947 (0.024)

0.967 (0.013)

0.945

(0.94–0.95)

0.966

(0.96–0.972)

0.979

(0.976–0.981)

0.984

(0.983–0.986)

 FImpute

0.938 (0.024)

0.957 (0.012)

0.935

(0.93–0.944)

0.960

(0.953–0.965)

0.974

(0.971–0.977)

0.982

(0.98–0.984)

 IMPUTE2

0.962 (0.02)

0.973 (0.008)

0.959

(0.956–0.963)

0.9712

(0.966–0.975)

0.981

(0.978–0.983)

0.985

(0.984–0.987)

 Minimac

0.96 (0.02)

0.972 (0.008)

0.957

(0.955–0.962)

0.968

(0.963–0.973)

0.980

(0.978–0.983)

0.9852

(0.983–0.987)

Geno Corr

 Beagle

0.863 (0.053)

0.914 (0.031)

0.857

(0.848–0.87)

0.914

(0.899–0.923)

0.932

(0.923–0.941)

0.932

(0.924–0.94)

 FImpute

0.827 (0.052)

0.879 (0.029)

0.819

(0.805–0.845)

0.894

(0.878–0.904)

0.916

(0.904–0.926)

0.923

(0.91–0.931)

 IMPUTE2

0.905 (0.042)

0.930 (0.02)

0.897

(0.891–0.908)

0.9261

(0.915–0.932)

0.939

(0.93–0.946)

0.938

(0.93–0.945)

 Minimac

0.899 (0.041)

0.926 (0.022)

0.8912

(0.886–0.902)

0.9162

(0.905–0.924)

0.9358

(0.927–0.944)

0.935

(0.927–0.943)

Dos Corr

 Beagle

0.951 (0.028)

0.973 (0.013)

0.956

(0.951–0.961)

0.977

(0.972–0.979)

0.980

(0.978–0.982)

0.982

(0.98–0.983)

 FImpute

–

–

–

–

–

–

 IMPUTE2

0.964 (0.023)

0.977 (0.009)

0.967

(0.963–0.971)

0.979

(0.975–0.98)

0.980

(0.978–0.981)

0.981

(0.979–0.982)

 Minimac

0.964 (0.023)

0.978 (0.009)

0.967

(0.963–0.971)

0.9786

(0.975–0.98)

0.982

(0.98–0.983)

0.983

(0.981–0.984)