title: Simultaneous mapping of epistatic QTL in DU6i x DBA/2 mice.
abstract: We have mapped epistatic quantitative trait loci (QTL) in an F2 cross between DU6i x DBA/2 mice. By including these epistatic QTL and their interaction parameters in the genetic model, we were able to increase the genetic variance explained substantially (8.8%-128.3%) for several growth and body composition traits. We used an analysis method based on a simultaneous search for epistatic QTL pairs without assuming that the QTL had any effect individually. We were able to detect several QTL that could not be detected in a search for marginal QTL effects because the epistasis cancelled out the individual effects of the QTL. In total, 23 genomic regions were found to contain QTL affecting one or several of the traits and eight of these QTL did not have significant individual effects. We identified 44 QTL pairs with significant effects on the traits, and, for 28 of the pairs, an epistatic QTL model fit the data significantly better than a model without interactions. The epistatic pairs were classified by the significance of the epistatic parameters in the genetic model, and visual inspection of the two-locus genotype means identified six types of related genotype-phenotype patterns among the pairs. Five of these patterns resembled previously published patterns of QTL interactions.
authors.affiliation: Roslin Institute, Roslin, Midlothian, EH25 9PS, United Kingdom. orjan.carlborg@lcb.uu.se
authors.forename: Orjan
authors.initials: O
authors.lastname: Carlborg
authors.forename: Gudrun A
authors.initials: GA
authors.lastname: Brockmann
authors.forename: Chris S
authors.initials: CS
authors.lastname: Haley
mesh_terms: D000818:Animals; D001823:Body Composition / Q000235:genetics; D002874:Chromosome Mapping; D003433:Crosses, Genetic; D004843:Epistasis, Genetic; D014644:Genetic Variation; D023281:Genomics / Q000379:methods; D051379:Mice; D008811:Mice, Inbred DBA; D008957:Models, Genetic; D010641:Phenotype; D040641:Quantitative Trait Loci; D012044:Regression Analysis