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Table 3 Mean Awassi level estimated by different subset of top ranked and bottom ranked SNPs and t-test results comparing each subset with the reference top 74 selected SNPs

From: Identifying highly informative genetic markers for quantification of ancestry proportions in crossbred sheep populations: implications for choosing optimum levels of admixture

Number of SNPs per AIMsa Number of animals Selected from top Selected from bottom  
Mean ± SEc RMSE P-valueb Mean ± SEc RMSEd P-valueb
65 755 0.224 ± 0.0092 0.013 0.891 0.221 ± 0.0092 0.017 0.9121
55 755 0.222 ± 0.0092 0.020 0.984 0.220 ± 0.0092 0.028 0.8576
45 755 0.224 ± 0.0092 0.028 0.906 0.221 ± 0.0090 0.037 0.9413
35 755 0.235 ± 0.0092 0.037 0.314 0.234 ± 0.0090 0.045 0.3557
25 755 0.240 ± 0.0094 0.050 0.222 0.237 ± 0.0089 0.058 0.2635
15 755 0.239 ± 0.0093 0.067 0.207 0.267 ± 0.0087 0.089 0.0004
  1. aEach subset was compared with the top 74 SNPs (mean ± SE = 0.222 ± 0.0092)
  2. b P = probability value of t-test,cSE = standard error, dRMSE = root mean square error