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Table 1 Location of the 1-Mb regions that explained more than 1% of genetic variance (%Var) for different datasets and the probability of that region having a nonzero effect (P > 0)

From: Genomic prediction of avian influenza infection outcome in layer chickens

Data set

Chromosome

Position (Mb)

Number of SNPs

%Var

P > 0b

Mexico Hy-Line1a

1

126

306

32.1

1.0

Mexico Hy-Line2

1

126

306

28.1

1.0

Mexico Hy-Line2

29

0

5583

1.0

1.0

Mexico Hy-Line3

1

126

306

27.1

1.0

Mexico Hy-Line3

12

12

608

2.9

0.7

Mexico Hy-Line3

29

0

5583

1.2

1.0

Mexico Hy-Line4

1

126

306

28.8

1.0

Mexico Hy-Line4

4

69

340

1.4

0.6

Mexico Hy-Line5

1

126

306

26.0

1.0

US Hy-Line1

1

167

438

3.0

0.5

US Hy-Line1

20

3

615

1.1

0.5

US Hy-Line1

13

11

561

1.0

0.5

US Hy-Line1

1

166

352

1.0

0.4

US Hy-Line2

15

1

659

1.7

0.6

US Hy-Line2

15

0

422

1.1

0.5

US Hy-Line2

29

0

5583

1.0

1.0

US Hy-Line3

1

32

283

2.0

0.4

US Hy-Line3

15

1

659

1.9

0.6

US Hy-Line3

15

0

422

1.1

0.5

US Hy-Line4

1

71

364

1.0

0.4

US Hy-Line4

29

0

5583

1.0

1.0

US Hy-Line5

4

84

433

3.4

0.4

US Hy-Line5

1

167

438

2.3

0.5

US Hy-Line5

9

16

629

1.2

0.5

US Hy-Line All

7

28

497

3.0

0.4

US Hy-Line All

1

32

283

1.7

0.4

US Hy-Line All

9

16

629

1.1

0.5

US Hy-Line All

1

167

438

1.1

0.4

  1. aThe number at the end of the dataset name refers to the fold number of the fivefold cross-validation
  2. bP > 0 was calculated as the proportion of MCMC iterations in which at least one SNP from that window was fitted in the model with nonzero effect