TAILIEUCHUNG - Báo cáo sinh học: " Power of three multitrait methods for QTL detection in crossbred populations"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Power of three multitrait methods for QTL detection in crossbred populations | Genet. Sel. Evol. 36 2004 347-361 INRA EDP Sciences 2004 DOI gse 2004005 347 Original article Power of three multitrait methods for QTL detection in crossbred populations Hélène Gilbert Pascale Le Roy Station de génétique quantitative et appliquée Institut national de la recherche agronomique 78352 Jouy-en-Josas Cedex France Received 25 February 2003 accepted 6 January 2004 Abstract - The multitrait detections of QTL applied to a mixture of full- and half-sib families require specific strategies. Indeed the number of parameters estimated by the multivariate methods is excessive compared with the size of the population. Thus only multitrait methods based on a univariate analysis of a linear combination LC of the traits can be extensively performed. We compared three strategies to obtain the LC of the traits. Two linear transformations were performed on the overall population. The last one was performed within each half-sib family. Their powers were compared on simulated data depending on the frequency of the two QTL alleles in each of the grand parental populations of an intercross design. The transformations from the whole population did not lead to a large loss of power even though the frequency of the QTL alleles was similar in the two grand parental populations. In these cases applying the within-sire family transformation improved the detection when the number of progeny per sire was greater than 100. multitrait QTL sib families simulations 1. INTRODUCTION The detection of quantitative trait loci QTL in animal populations in the last decade has shown much evidence for loci determining quantitative traits of agricultural interest in many species 3 review . The hypothesis on genetic determinism of the traits as that resulting from single trait detection often suggests the existence of loci influencing several traits . SSC7 in pigs 1 . But most of the statistical methods used in such frameworks are aimed at detecting QTL trait by trait. However specific

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