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Table 4 Correlation between and linear regression of GEBVs obtained with model 1 using a given SNP set and all available SNPs

From: Effects of single nucleotide polymorphism marker density on degree of genetic variance explained and genomic evaluation for carcass traits in Japanese Black beef cattle

No. of SNPs selected Correlation coefficient Regression coefficient
Carcass weight Marbling score Carcass weight Marbling score
100 0.64 0.48 0.34 0.12
200 0.71 0.53 0.40 0.10
500 0.86 0.75 0.64 0.32
1,000 0.92 0.87 0.75 0.48
2,000 0.96 0.94 0.84 0.66
4,000 0.99 0.98 0.94 0.82
6,000 0.99 0.99 0.94 0.88
8,000 0.99 0.99 0.96 0.88
10,000 0.99 0.99 0.98 0.94
20,000 0.99 0.99 1.02 1.01
30,000 0.99 0.99 1.01 1.00
Imp1* 0.99 0.99 1.03 0.96
Imp2* 0.99 0.99 1.00 0.99
  1. *Imp1 and imp2: 38,502 SNP genotypes imputed from 4,000 and 10,000 SNPs, respectively.