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Table 3 Model fitness measured by Akaike information criterion (AIC) in scenario 3

From: Impact of QTL minor allele frequency on genomic evaluation using real genotype data and simulated phenotypes in Japanese Black cattle

  

All MAFa

High MAFa

Low MAFa

SNPb

Prediction modelc

Mean

SD

Mean

SD

Mean

SD

7 K

Model (1) with GV

6164

63

6145

66

6191

61

Model (1) with GY

6162

63

6145

66

6188

61

Model (1) with GS

6162

63

6146

66

6187

61

Model (2)

6163

63

6147

66

6186

61

50 K

Model (1) with GV

6159

63

6139

65

6188

62

Model (1) with GY

6155

63

6139

65

6181

62

Model (1) with GS

6155

63

6142

65

6175

62

Model (2)

6155

63

6140

65

6163

62

7K_to_HD

Model (1) with GV

6158

63

6138

65

6189

62

Model (1) with GY

6155

63

6138

65

6182

62

Model (1) with GS

6156

63

6147

65

6171

62

Model (2)

6154

63

6139

65

6155

62

50K_to_HD

Model (1) with GV

6157

63

6137

65

6188

62

Model (1) with GY

6154

63

6137

65

6181

62

Model (1) with GS

6155

63

6146

65

6169

62

Model (2)

6153

63

6138

65

6152

62

HD

Model (1) with GV

6157

63

6136

65

6188

62

Model (1) with GY

6154

63

6137

65

6180

62

Model (1) with GS

6155

63

6147

65

6168

62

Model (2)

6152

63

6138

65

6150

62

  1. aMAF, Minor allele frequency; All MAF, 0.01 ≤ MAF ≤ 0.5; High MAF, 0.05 < MAF ≤ 0.5; Low MAF, 0.01 ≤ MAF ≤ 0.05
  2. b7K, 50 K and HD, Illumina infinium BovineLDv1.1, BovineSNP50v2, and BovineHD BeadChips, respectively; 7 K_to_HD and 50 K_to_HD, Imputations were performed from 7 K and 50 K to HD, respectively
  3. cGV, VanRaden's genome relationship matrix (GRM); GY, Yang's GRM; GS, Speed's GRM