Skip to main content
Download PDF

A Bayesian approach for constructing genetic maps when markers are miscoded

Genetics Selection Evolution volume 34, Article number: 353 (2002) Cite this article

Abstract

The advent of molecular markers has created opportunities for a better understanding of quantitative inheritance and for developing novel strategies for genetic improvement of agricultural species, using information on quantitative trait loci (QTL). A QTL analysis relies on accurate genetic marker maps. At present, most statistical methods used for map construction ignore the fact that molecular data may be read with error. Often, however, there is ambiguity about some marker genotypes. A Bayesian MCMC approach for inferences about a genetic marker map when random miscoding of genotypes occurs is presented, and simulated and real data sets are analyzed. The results suggest that unless there is strong reason to believe that genotypes are ascertained without error, the proposed approach provides more reliable inference on the genetic map.

(To access the full article, please see PDF)

Author information

Authors and Affiliations

  1. Department of Biostatistics, UNESP, Botucatu, SP, Brazil

    Guilherme JM Rosa

  2. Departments of Statistics and of Horticulture, University of Winconsin, Madison, WI, USA

    Brian S Yandell

  3. Departments of Animal Science and of Biostatistics & Medical Informatics, University of Wisconsin, Madison, WI, USA

    Daniel Gianola

Authors
  1. Guilherme JM Rosa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Brian S Yandell
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Daniel Gianola
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Guilherme JM Rosa.

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

Rosa, G.J., Yandell, B.S. & Gianola, D. A Bayesian approach for constructing genetic maps when markers are miscoded. Genet Sel Evol 34, 353 (2002). https://doi.org/10.1186/1297-9686-34-3-353

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1297-9686-34-3-353

Keywords

Genetics Selection Evolution

ISSN: 1297-9686