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Table 2 The empirical Bayesian estimates of the top 27 marker (main) effects.

From: Genomic value prediction for quantitative traits under the epistatic model

Marker

Variance

Effect

StdErr

LOD

p- value

H

M56

1.0181

1.0016

0.1228

14.44

0.0000

0.1303

M8

0.7492

0.8581

0.1118

12.77

0.0000

0.0980

M44

0.4744

-0.6783

0.1193

7.01

0.0000

0.0562

M39

0.4328

-0.6466

0.1217

6.13

0.0000

0.0525

M12

0.3084

-0.5437

0.1134

4.98

0.0000

0.0384

M22

0.3108

0.5455

0.1143

4.94

0.0000

0.0399

M51

0.3114

0.5444

0.1228

4.26

0.0000

0.0375

M65

0.2437

0.4797

0.1163

3.69

0.0000

0.0304

M69

0.2126

-0.4477

0.1109

3.53

0.0001

0.0271

M53

0.2095

0.4439

0.1111

3.46

0.0001

0.0241

M15

0.2217

-0.4543

0.1240

2.91

0.0003

0.0270

M72

0.1711

-0.3989

0.1095

2.88

0.0003

0.0210

M26

0.1781

-0.4054

0.1167

2.62

0.0005

0.0203

M23

0.1909

-0.4192

0.1241

2.47

0.0007

0.0222

M42

0.1915

0.4188

0.1267

2.37

0.0010

0.0232

M60

0.1662

-0.3900

0.1185

2.35

0.0010

0.0191

M54

0.1506

-0.3712

0.1133

2.33

0.0011

0.0173

M25

0.1437

0.3625

0.1111

2.31

0.0011

0.0181

M10

0.1336

0.3492

0.1075

2.29

0.0012

0.0166

M36

0.1433

-0.3605

0.1150

2.13

0.0017

0.0167

M4

0.1363

0.3513

0.1138

2.07

0.0020

0.0158

M16

0.1171

-0.3233

0.1121

1.80

0.0039

0.0135

M34

0.1141

0.3187

0.1120

1.76

0.0044

0.0133

M61

0.0982

-0.2951

0.1055

1.70

0.0052

0.0118

M45

0.1027

-0.2997

0.1136

1.51

0.0083

0.0116

M5

0.0961

-0.2890

0.1121

1.44

0.0099

0.0106

M13

0.0802

-0.2619

0.1081

1.27

0.0154

0.0093

  1. The last column (H) gives the proportion of phenotypic variance contributed by each marker. The markers are sorted based on their LOD scores.