title: Estimation of quantitative trait locus allele frequency via a modified granddaughter design.
abstract: A method is described on the basis of a modification of the granddaughter design to obtain estimates of quantitative trait loci (QTL) allele frequencies in dairy cattle populations and to determine QTL genotypes for both homozygous and heterozygous grandsires. The method is based on determining the QTL allele passed from grandsires to their maternal granddaughters using haplotypes consisting of several closely linked genetic markers. This method was applied to simulated data of 10 grandsire families, each with 500 granddaughters, and a QTL with a substitution effect of 0.4 phenotypic standard deviations and to actual data for a previously analyzed QTL in the center of chromosome 6, with substitution effect of 1 phenotypic standard deviation on protein percentage. In the simulated data the standard error for the estimated QTL substitution effect with four closely linked multiallelic markers was only 7% greater than the expected standard error with completely correct identification of QTL allele origin. The method estimated the population QTL allelic frequency as 0.64 +/- 0.07, compared to the simulated value of 0.7. In the actual data, the frequency of the allele that increases protein percentage was estimated as 0.63 +/- 0.06. In both data sets the hypothesis of equal allelic frequencies was rejected at P < 0.05.
authors.affiliation: Institute of Animal Sciences, ARO, The Volcani Center, Bet Dagan 50250, Israel. weller@agri.huji.ac.il
authors.forename: Joel Ira
authors.initials: JI
authors.lastname: Weller
authors.forename: Hayim
authors.initials: H
authors.lastname: Weller
authors.forename: David
authors.initials: D
authors.lastname: Kliger
authors.forename: Micha
authors.initials: M
authors.lastname: Ron
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D002417:Cattle; D005787:Gene Frequency; D005819:Genetic Markers; D040641:Quantitative Trait Loci / Q000235:genetics*; D012044:Regression Analysis; D012107:Research Design
chemical_list: D005819:Genetic Markers