A new approach to detect non-pleiotropic QTL for correlated traits

In quantitative traits loci (QTL) mapping experiments a number of traits are often recorded. Although most QTL-detection methods are based on single trait analysis, several approaches for multi-trait detection have been proposed (Weller et al., 1996; Knott and Haley, 2000). Those methods mainly focu...

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Bibliographic Details
Main Authors: A. Carta, J.M. Elsen, S. Casu
Format: Article
Language:English
Published: Taylor & Francis Group 2010-01-01
Series:Italian Journal of Animal Science
Subjects:
Online Access:http://www.aspajournal.it/index.php/ijas/article/view/641
Description
Summary:In quantitative traits loci (QTL) mapping experiments a number of traits are often recorded. Although most QTL-detection methods are based on single trait analysis, several approaches for multi-trait detection have been proposed (Weller et al., 1996; Knott and Haley, 2000). Those methods mainly focus on either increasing power of detecting pleiotropic QTL or discriminating between pleiotropy and linkage, often with the aim of dissecting unfavourable genetic correlation between traits. Nevertheless, when two traits are positively correlated, the detection of genes only affecting one of them could allow the speeding of its genetic improvement.
ISSN:1594-4077
1828-051X