title: Comparison of analyses of the QTLMAS XIV common dataset. II: QTL analysis.
abstract: BACKGROUND
  A quantitative and a binary trait for the 14th QTLMAS 2010 workshop were simulated under a model which combined additive inheritance, epistasis and imprinting. This paper aimed to compare results submitted by the participants of the workshop.
  
  
  METHODS
  The results were compared according to three criteria: the success rate (ratio of mapped QTL to the total number of simulated QTL), and the error rate (ratio of false positives to the number of reported positions), and mean distance between a true mapped QTL and the nearest submitted position.
  
  
  RESULTS
  Seven groups submitted results for the quantitative trait and five for the binary trait. Among the 37 simulated QTL 17 remained undetected. Success rate ranged from 0.05 to 0.43, error rate was between 0.00 and 0.92, and the mean distance ranged from 0.26 to 0.77 Mb.
  
  
  CONCLUSIONS
  Our comparison shows that differences among methods used by the participants increases with the complexity of genetic architecture. It was particularly visible for the quantitative trait which was determined partly by non-additive QTL. Furthermore, an imprinted QTL with a large effect may remain undetected if the applied model tests only for Mendelian genes.
authors.affiliation: Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Wolynska 33, 60-637 Poznan, Poland. sebastianmucha@gmail.com.
authors.forename: Sebastian
authors.initials: S
authors.lastname: Mucha
authors.forename: Marcin
authors.initials: M
authors.lastname: Pszczoła
authors.forename: Tomasz
authors.initials: T
authors.lastname: Strabel
authors.forename: Anna
authors.initials: A
authors.lastname: Wolc
authors.forename: Paulina
authors.initials: P
authors.lastname: Paczyńska
authors.forename: Maciej
authors.initials: M
authors.lastname: Szydlowski