title: Multivariate mixed inheritance models for QTL detection on porcine chromosome 6.
abstract: A series of multivariate mixed-inheritance models is fitted to the data from an outbred-line pig cross commercially used in Norway. Each model accommodates information on polygenic (co)variances between F2 individuals and their F1 parents across the five traits through incorporation of a random animal effect. Considered traits relate to meat quality and are chosen following up the results from a previous evaluation, in which a putative quantitative trait locus (QTL) was identified on chromosome six that affects the amount of intramuscular fat (IMF), meat percentage, meat tenderness and smell intensity (Grindflek et al., 2001). An additional trait included in the model, based on results of other studies, is the backfat thickness. The analysed material comprises data scored for 305 F2 individuals, whereas marker information is available for F1 and F2 generations. Based on the results of the multivariate analysis with the mixed-inheritance model, it was possible to conclude that the evidence for QTLs for meat percentage, meat tenderness and smell intensity in the study of Grindflek et al. (2001) do not represent separate QTLs, but is caused by the fact that the applied pre-adjustment of trait values for polygenic effects failed properly to remove the polygenic variation. The QTL effect on IMF on chromosome six was confirmed.
authors.affiliation: Department of Animal Genetics, Wrocław Agricultural University, Kozuchowska 7, 51-631 Wrocław, Poland. szyda@karnet.ar.wroc.pl
authors.forename: Joanna
authors.initials: J
authors.lastname: Szyda
authors.forename: Eli
authors.initials: E
authors.lastname: Grindflek
authors.forename: Zengting
authors.initials: Z
authors.lastname: Liu
authors.forename: Sigbjørn
authors.initials: S
authors.lastname: Lien
mesh_terms: D000818:Animals; D002874:Chromosome Mapping / Q000662:veterinary*; D008957:Models, Genetic; D015999:Multivariate Analysis; D040641:Quantitative Trait Loci; D013552:Swine / Q000235:genetics*