BMC Genomic Data

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
Model*	1809	1809i^a	201	1809	1809i^a	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
Model*	1809	1809i^b	453	1809	1809i^b	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
Model*	1809	1809i^c	905	1809	1809i^c	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

^aImputed from 201 SNPs.
^bImputed from 453 SNPs.
^cImputed from 905 SNPs.
*BL: Bayesian LASSO; RKHS: Reproducing Kernel Hilbert Spaces (RKHS) and; BRANN: Bayesian Regularized Neural Networks.

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ISSN: 2730-6844

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