title: A Bayesian approach to detect QTL affecting a simulated binary and quantitative trait.
abstract: BACKGROUND
  We analyzed simulated data from the 14th QTL-MAS workshop using a Bayesian approach implemented in the program iBay. The data contained individuals genotypes for 10,031 SNPs and phenotyped for a quantitative and a binary trait.
  
  
  RESULTS
  For the quantitative trait we mapped 8 out of 30 additive QTL, 1 out of 3 imprinted QTL and both epistatic pairs of QTL successfully. For the binary trait we mapped 11 out of 22 additive QTL successfully. Four out of 22 pleiotropic QTL were detected as such.
  
  
  CONCLUSIONS
  The Bayesian variable selection method showed to be a successful method for genome-wide association. This method was reasonably fast using dense marker maps.
authors.affiliation: Animal Breeding and Genomics Centre, Wageningen University, P,O, Box 338, 6700AH Wageningen, The Netherlands. Aniek.Bouwman@wur.nl.
authors.forename: Aniek C
authors.initials: AC
authors.lastname: Bouwman
authors.forename: Luc Lg
authors.initials: LL
authors.lastname: Janss
authors.forename: Henri Cm
authors.initials: HC
authors.lastname: Heuven