Joint QTL analysis of three connected F2-crosses in pigs.
BACKGROUND
Numerous QTL mapping resource populations are available in livestock species. Usually they are analysed separately, although the same founder breeds are often used. The aim of the present study was to show the strength of analysing F2-crosses jointly in pig breeding when the founder breeds of several F2-crosses are the same.


METHODS
Three porcine F2-crosses were generated from three founder breeds (i.e. Meishan, Pietrain and wild boar). The crosses were analysed jointly, using a flexible genetic model that estimated an additive QTL effect for each founder breed allele and a dominant QTL effect for each combination of alleles derived from different founder breeds. The following traits were analysed: daily gain, back fat and carcass weight. Substantial phenotypic variation was observed within and between crosses. Multiple QTL, multiple QTL alleles and imprinting effects were considered. The results were compared to those obtained when each cross was analysed separately.


RESULTS
For daily gain, back fat and carcass weight, 13, 15 and 16 QTL were found, respectively. For back fat, daily gain and carcass weight, respectively three, four, and five loci showed significant imprinting effects. The number of QTL mapped was much higher than when each design was analysed individually. Additionally, the test statistic plot along the chromosomes was much sharper leading to smaller QTL confidence intervals. In many cases, three QTL alleles were observed.


CONCLUSIONS
The present study showed the strength of analysing three connected F2-crosses jointly. In this experiment, statistical power was high because of the reduced number of estimated parameters and the large number of individuals. The applied model was flexible and was computationally fast.
Institute of Animal Husbandry and Breeding, University of Hohenheim, D-70599 Stuttgart, Germany.
Christine
C
Rückert
Jörn
J
Bennewitz
D000818:Animals; D002874:Chromosome Mapping; D033481:Chromosomes, Mammalian / Q000235:genetics; D003433:Crosses, Genetic; D005260:Female; D018392:Genomic Imprinting / Q000235:genetics; D008126:Lod Score; D008297:Male; D008460:Meat; D008957:Models, Genetic; D010641:Phenotype; D040641:Quantitative Trait Loci / Q000235:genetics*; D019655:Quantitative Trait, Heritable; D034421:Sus scrofa / Q000235:genetics*; D015430:Weight Gain / Q000235:genetics