02251naa a2200361 a 450000100080000000500110000800800410001902400480006010000230010824501130013126000090024452011560025365000200140965000260142965000170145565000340147265000240150665300260153065300300155665300160158670000190160270000250162170000190164670000160166570000190168170000190170070000220171970000190174170000250176070000250178570000170181077300620182720475162016-06-21       2016    bl uuuu     u00u1 u    #d7 ahttp://dx.doi.org/10.4238/gmr.150282312DOI1 aTEIXEIRA, F. R. F.  aFactor analysis applied to genome prediction for high-dimensional phenotypes in pigs.h[electronic resource]  c2016  aThe aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genome-wide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four biologically interpretable factors: ?weight?, ?fat?, ?loin?, and ?performance?. These factors were used as dependent variables in multiple regression models of genomic selection (Bayes A, Bayes B, RR-BLUP, and Bayesian LASSO). The use of FA is presented as an interesting alternative to select individuals for multiple variables simultaneously in GWS studies; accuracy measurements of the factors were similar to those obtained when the original traits were considered individually. The similarities between the top 10% of individuals selected by the factor, and those selected by the individual traits, were also satisfactory. Moreover, the estimated markers effects for the traits were similar to those found for the relevant factor.  aAnimal breeding  aMultivariate analysis  aEstatística  aMelhoramento genético animal  aSeleção genética  aAnálise multivariada  aGenome enabled prediction  aSNP effects1 aNASCIMENTO, M.1 aNASCIMENTO, A. C. C.1 aSILVA, F. F. e1 aCRUZ, C. D.1 aAZEVEDO, C. F.1 aPAIXÃO, D. M.1 aBARROSO, L. M. A.1 aVERARDO, L. L.1 aRESENDE, M. D. V. de1 aGUIMARÃES, S. E. F.1 aLOPES, P. S.  tGenetics and Molecular Researchgv. 15, n. 2, 2016. 10 p.