title: Selective genotyping to detect quantitative trait loci for multiple traits in outbred populations.
abstract: Selective genotyping (i.e., genotyping of individuals that are extreme for a quantitative trait) has been undertaken in many studies but has usually been limited to one trait of interest. This paper outlines the implications of selective genotyping when applied to a daughter design. Formulas are presented that enable unbiased estimation of QTL effects for the selectively genotyped and correlated traits. Formulas were verified using simulation. Further, formulas are presented to enable power calculations to be undertaken for the selectively genotyped trait and correlated traits. These algorithms are demonstrated with a numerical example.
authors.affiliation: Animal Breeding and Genetics Group, Wageningen Institute of Animal Sciences, The Netherlands. henk.bovenhuis@alg.vf.wau.nl
authors.forename: H
authors.initials: H
authors.lastname: Bovenhuis
authors.forename: R J
authors.initials: RJ
authors.lastname: Spelman
mesh_terms: D000818:Animals; D001947:Breeding; D002417:Cattle / Q000235:genetics*; D005260:Female; D005838:Genotype; D007774:Lactation / Q000235:genetics; D008055:Lipids / Q000032:analysis; D008297:Male; D008892:Milk / Q000737:chemistry; D008894:Milk Proteins / Q000032:analysis; D008957:Models, Genetic; D010641:Phenotype; D012044:Regression Analysis
chemical_list: D008055:Lipids; D008894:Milk Proteins