title: Changes in variance components of flanking marker genotypes under varying selection intensities.
abstract: Selection is practically ubiquitous during marker-QTL linkage analysis with an experimental population. Thus, it is necessary to investigate the impacts of selection upon linkage analyses in order to obtain unbiased estimates of QTL position and effect. In this article, by exploiting flanking markers through the widely applied half-sib design, we have developed the structures of three variance components, i.e., variance component between marker genotypes, polygenic variance component and recombinant variance component within marker genotypes. Changes in these variance components under varying selection intensities were investigated in this study to formulate the effects of selection on various variance components. Results showed clearly that all variance components presented were quite sensitive to changes in selection intensity. As selection intensity increased, all variance components declined by differing extents in a quadratic fashion. Comparatively speaking, the variance between marker genotypes decreased most drastically, followed by the polygenic variance within marker genotypes and then the recombinant variance within marker genotypes, which suggested a decrease of power for QTL linkage analysis. Therefore, steps should be taken to avoid as much as possible the presence of selection in real populations, so as to further eliminate the negative effects of selection on QTL linkage analysis.
authors.affiliation: Guangdong Ocean University, Zhanjiang, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Wang
authors.forename: Yao-Sheng
authors.initials: YS
authors.lastname: Chen
mesh_terms: D000483:Alleles; D000704:Analysis of Variance; D002874:Chromosome Mapping; D003198:Computer Simulation; D005819:Genetic Markers; D005838:Genotype; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D020412:Multifactorial Inheritance; D040641:Quantitative Trait Loci; D011995:Recombination, Genetic; D012641:Selection, Genetic
chemical_list: D005819:Genetic Markers