PMID- 22444958
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20121002
LR  - 20120326
IS  - 1751-7311 (Print)
IS  - 1751-7311 (Linking)
VI  - 2
IP  - 1
DP  - 2008 Jan
TI  - Bayesian prediction of breeding values for multivariate binary and continuous 
      traits in simulated horse populations using threshold-linear models with Gibbs 
      sampling.
PG  - 9-18
LID - 10.1017/S1751731107000912 [doi]
AB  - Simulated data were used to determine the properties of multivariate prediction 
      of breeding values for categorical and continuous traits using phenotypic, 
      molecular genetic and pedigree information by mixed linear-threshold animal 
      models via Gibbs sampling. Simulation parameters were chosen such that the data 
      resembled situations encountered in Warmblood horse populations. Genetic 
      evaluation was performed in the context of the radiographic findings in the 
      equine limbs. The simulated pedigree comprised seven generations and 40 000 
      animals per generation. The simulated data included additive genetic values, 
      residuals and fixed effects for one continuous trait and liabilities of four 
      binary traits. For one of the binary traits, quantitative trait locus (QTL) 
      effects and genetic markers were simulated, with three different scenarios with 
      respect to recombination rate (r) between genetic markers and QTL and 
      polymorphism information content (PIC) of genetic markers being studied: r = 0.00 
      and PIC = 0.90 (r0p9), r = 0.01 and PIC = 0.90 (r1p9), and r = 0.00 and PIC = 
      0.70 (r0p7). For each scenario, 10 replicates were sampled from the simulated 
      horse population, and six different data sets were generated per replicate. Data 
      sets differed in number and distribution of animals with trait records and the 
      availability of genetic marker information. Breeding values were predicted via 
      Gibbs sampling using a Bayesian mixed linear-threshold animal model with residual 
      covariances fixed to zero and a proper prior for the genetic covariance matrix. 
      Relative breeding values were used to investigate expected response to multi- and 
      single-trait selection. In the sires with 10 or more offspring with trait 
      information, correlations between true and predicted breeding values ranged 
      between 0.89 and 0.94 for the continuous traits and between 0.39 and 0.77 for the 
      binary traits. Proportions of successful identification of sires of average, 
      favourable and unfavourable genetic value were 81% to 86% for the continuous 
      trait and 57% to 74% for the binary traits in these sires. Expected decrease of 
      prevalence of the QTL trait was 3% to 12% after multi-trait selection for all 
      binary traits and 9% to 17% after single-trait selection for the QTL trait. The 
      combined use of phenotype and genotype data was superior to the use of phenotype 
      data alone. It was concluded that information on phenotypes and highly 
      informative genetic markers should be used for prediction of breeding values in 
      mixed linear-threshold animal models via Gibbs sampling to achieve maximum 
      reduction in prevalences of binary traits.
FAU - Stock, K F
AU  - Stock KF
AD  - 1Institute for Animal Breeding and Genetics, University of Veterinary Medicine 
      Hannover (Foundation), Bunteweg 17p, D-30559 Hannover, Germany.
FAU - Distl, O
AU  - Distl O
FAU - Hoeschele, I
AU  - Hoeschele I
LA  - eng
PT  - Journal Article
PL  - England
TA  - Animal
JT  - Animal : an international journal of animal bioscience
JID - 101303270
EDAT- 2008/01/01 00:00
MHDA- 2008/01/01 00:01
CRDT- 2012/03/27 06:00
PHST- 2012/03/27 06:00 [entrez]
PHST- 2008/01/01 00:00 [pubmed]
PHST- 2008/01/01 00:01 [medline]
AID - S1751731107000912 [pii]
AID - 10.1017/S1751731107000912 [doi]
PST - ppublish
SO  - Animal. 2008 Jan;2(1):9-18. doi: 10.1017/S1751731107000912.