Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach

BMC Genomic Data

Table 1 Number of candidate and final SNPs selected through the Common SNP and Highest 1% SNP strategies

	Candidate SNPs	Final Model SNPs	% dEBV variance⁽¹⁾	Permutation R²⁽²⁾
Common SNP	162	19	50.59%	0.00 ± 0.02
Highest 1% SNP	70	21	53.27%	0.00 ± 0.02

¹dEBV deregressed estimated breeding value variance explained by the final fitting of SNPs. The % dEBV variance is the model R² from the final analysis which fits all SNPs as fixed effects into a regression analysis.
² Permutation R²: average values and standard deviations for R² from 1,000 permutation tests.

ISSN: 2730-6844