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Table 2 Correlations between predicted and observed body weight for all masking rates and family layouts

From: Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data

90% genotype masking rate
Model* Across families Within families
1809 1809ia 201 1809 1809ia 201
BL 0.347 0.259 0.169 0.500 0.330 0.407
RKHS 0.347 0.312 0.210 0.527 0.417 0.499
BRANN 0.330 0.217 0.144 0.490 0.274 0.392
75% genotype masking rate
Model* Across families Within families
1809 1809ib 453 1809 1809ib 453
BL 0.343 0.291 0.262 0.499 0.447 0.430
RKHS 0.348 0.317 0.293 0.528 0.506 0.501
BRANN 0.320 0.241 0.255 0.492 0.414 0.428
50% genotype masking rate
Model* Across families Within families
1809 1809ic 905 1809 1809ic 905
BL 0.342 0.324 0.271 0.499 0.496 0.477
RKHS 0.343 0.345 0.306 0.530 0.530 0.520
BRANN 0.320 0.281 0.252 0.492 0.478 0.461
  1. aImputed from 201 SNPs.
  2. bImputed from 453 SNPs.
  3. cImputed from 905 SNPs.
  4. *BL: Bayesian LASSO; RKHS: Reproducing Kernel Hilbert Spaces (RKHS) and; BRANN: Bayesian Regularized Neural Networks.