Skip to main content

Table 3 The partitioned heritability enrichment for the functional annotation sets

From: Integrating multi-layered biological priors to improve genomic prediction accuracy in beef cattle

Category

Averaged heritability, %

Min /Max heritability, %

Number

Genome fraction, %

Averaged Enrichment_ratio

Min /Max Enrichment_ratio

OCR_target

9.54

1.87/ 22.47

495,903

4.86

6.37

1.25/ 15.02

Conservation_target

18.87

2.02/ 52.62

192,825

1.89

31.78

3.38/ 88.57

coding.related

1.95

0.47/ 7.9

66,762

0.65

9.40

2.27/ 38.08

Density1

19.48

0.99/ 57.07

2,564,482

25.11

2.37

0.12/ 6.94

Density2

5.68

1.20/ 22.25

2,564,733

25.11

0.69

0.16/ 2.69

Density3

4.26

0.98/ 15.17

2,538,073

24.85

0.52

0.12/ 1.85

Density4

3.33

0.64/ 13.98

2,546,637

24.93

0.41

0.08/ 1.72

eQTLs_target

2.74

0.49/ 9.39

240,683

2.36

3.78

0.67/ 12.97

eQTLs_rest

28.04

2.04/ 57.14

9,973,242

97.64

0.93

0.07/ 1.90

Freq1

8.82

1.42/ 39.34

2,557,044

25.03

1.11

0.18/ 4.95

Freq2

8.23

0.81/ 22.14

2,555,826

25.02

1.04

0.10/ 2.81

Freq3

8.00

1.02/ 37.54

2,550,339

24.97

1.01

0.13/4.74

Freq4

6.55

1.02/ 17.74

2,550,716

24.97

0.83

0.13/ 2.23

Geneend

2.04

0.54/ 6.61

863,401

8.45

0.76

0.21/ 2.47

SLSN_target

4.64

0.61/ 11.59

109,325

1.07

14.48

1.93/ 36.17

Intergenic

11.28

0.58/ 42.19

6,132,394

60.04

0.59

0.03/ 2.21

Intron

6.73

0.61/ 34.33

3,096,627

30.32

0.70

0.06/ 3.57

LD1

16.14

2.05/ 51.85

2,553,483

25.00

1.92

0.24/ 6.29

LD2

8.00

1.41/ 25.35

2,553,481

25.00

0.96

0.17/ 2.47

LD3

5.37

0.94/ 30.83

2,553,486

25.00

0.64

0.11/ 3.65

LD4

3.98

0.57/ 20.52

2,553,475

25.00

0.48

0.07/ 2.48

OCR_rest

21.25

1.86/ 52.03

9,718,022

95.14

0.73

0.06/ 1.79

Conservation_rest

12.55

1.81/ 35.52

10,021,100

98.11

0.41

0.05/ 1/16

SLSN_rest

25.31

2.09/ 50.70

10,104,600

98.93

0.85

0.07/ 1.70

P-variant_rest

21.53

2.14/ 48.88

9,630,487

94.29

0.74

0.08/ 1.68

HMRs_rest

23.49

1.96/ 56.12

9,451,090

92.53

0.82

0.07/ 1.96

P-variant_target

9.35

1.02/ 21.86

583,438

5.71

5.31

0.58/ 12.43

Regulatory.related

6.20

0.72/34.58

11,534

0.11

172.96

20.11/ 964.67

mQTLs_target

5.84

1.22/ 16.29

386,995

3.79

5.03

1.06/ 14.03

mQTLs_rest

24.84

1.94/ 55.60

9,826,930

96.21

0.84

0.07/ 1.88

UTR

3.51

0.51/ 18.06

43,207

0.42

26.15

3.80/ 134.57

HMRs_target

7.43

1.32/ 21.26

762,835

7.47

3.22

0.57/9.21

  1. SLSN represents selection signature