Skip to main content

Table 3 Imputation scenarios from 5K to 50K (50K original) using two types of reference population

From: Assessing accuracy of imputation using different SNP panel densities in a multi-breed sheep population

Scenario

Number of reference animals

Number of imputed animals

Description of reference animalsd

Imputed group breedb

25_5K50K

15,443a and 4564b

218

All breeds/Romney

Romney 100 %

26_5K50K

15,443a and 4326b

142

All breeds/Romney

Romney < 65 %

27_5K50K

4256

1000c

Romney

Romney

28_5K50K

15,443a and 2324b

250

All breeds/Coopworth

Coopworth 100 %

29_5K50K

15,443a and 2279b

250

All breeds/Coopworth

Coopworth < 70 %

30_5K50K

15,443a and 640b

250

All breeds/Perendale

Perendale > 95 %

31_5K50K

15,443a and 138b

172

All breeds/Composites

Composites > 50 % < 95 %

  1. aFixed reference population that included 15,443 animals from all breeds with genotyped animals
  2. bWithin-breed/group reference population: some groups contained a small number of genotyped animals
  3. c1000 animals defined as the imputed set to optimize the calculation of the r2 imputation accuracy per SNP
  4. dTwo types of reference population were used: (1) a fixed reference population that included a large number of animals from all breeds and (2) a within-group reference population