title: Impacts of using inbred animals in studies for detection of quantitative trait loci.
abstract: Effects of utilizing inbred and noninbred family structures in experiments for detection of quantitative trait loci (QTL) were compared in this simulation study. Simulations were based on a general pedigree design originating from 2 unrelated sires. A variance component approach of mapping QTL was applied to simulated data that reflected common family structures from dairy populations. Five different family structures were considered: FS0 without inbreeding, FS1 with an inbred sire from an aunt-nephew mating, FS2 with an inbred sire originating from a half-sib mating, FS3 and FS4 based on FS2 but containing an increased number of offspring of the inbred sire (FS3), and another extremely inbred sire with its final offspring (FS4). Sixty replicates each of the 5 family structures in 2 simulation scenarios each were analyzed to provide a praxis-like situation of QTL analysis. The largest proportion of QTL position estimates within the correct interval of 3 cM, best test statistic profiles and the smallest average bias were obtained from the pedigrees described by FS4 and FS2. The approach does not depend on the kind and number of genetic markers. Inbreeding is not a recommended practice for commercial dairy production because of possible inbreeding depression, but inbred animals and their offspring that already exist could be advantageous for QTL mapping, because of reduced genetic variance in inbred parents.
authors.affiliation: FBN Research Unit Genetics and Biometry, Dummerstorf, Germany. freyer@fbn-dummerstorf.de
authors.forename: G
authors.initials: G
authors.lastname: Freyer
authors.forename: N
authors.initials: N
authors.lastname: Vukasinovic
authors.forename: B
authors.initials: B
authors.lastname: Cassell
mesh_terms: D000818:Animals; D002417:Cattle / Q000235:genetics*; D002874:Chromosome Mapping; D005260:Female; D014644:Genetic Variation; D007178:Inbreeding; D008297:Male; D040641:Quantitative Trait Loci / Q000235:genetics*