Skip to main content
Download PDF

A comparison of bivariate and univariate QTL mapping in livestock populations

Genetics Selection Evolution volume 35, Article number: 605 (2003) Cite this article

Abstract

This study presents a multivariate, variance component-based QTL mapping model implemented via restricted maximum likelihood (REML). The method was applied to investigate bivariate and univariate QTL mapping analyses, using simulated data. Specifically, we report results on the statistical power to detect a QTL and on the precision of parameter estimates using univariate and bivariate approaches. The model and methodology were also applied to study the effectiveness of partitioning the overall genetic correlation between two traits into a component due to many genes of small effect, and one due to the QTL. It is shown that when the QTL has a pleiotropic effect on two traits, a bivariate analysis leads to a higher statistical power of detecting the QTL and to a more precise estimate of the QTL's map position, in particular in the case when the QTL has a small effect on the trait. The increase in power is most marked in cases where the contributions of the QTL and of the polygenic components to the genetic correlation have opposite signs. The bivariate REML analysis can successfully partition the two components contributing to the genetic correlation between traits.

(To access the full article, please see PDF)

Author information

Authors and Affiliations

  1. Danish Institute of Agricultural Sciences, Department of Animal Breeding and Genetics, Research Centre Foulum, PO Box 50, 8830, Tjele, Denmark

    Peter Sørensen, Mogens Sandø Lund, Bernt Guldbrandtsen, Just Jensen & Daniel Sorensen

Authors
  1. Peter Sørensen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mogens Sandø Lund
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bernt Guldbrandtsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Just Jensen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Daniel Sorensen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Peter Sørensen.

Rights and permissions

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Cite this article

Sørensen, P., Lund, M.S., Guldbrandtsen, B. et al. A comparison of bivariate and univariate QTL mapping in livestock populations. Genet Sel Evol 35, 605 (2003). https://doi.org/10.1186/1297-9686-35-7-605

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1297-9686-35-7-605

Keywords

Genetics Selection Evolution

ISSN: 1297-9686