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An EM algorithm for mapping segregation distortion loci
BACKGROUND: Chromosomal region that causes distorted segregation ratios is referred to as segregation distortion locus (SDL). The distortion is caused either by differential representation of SDL genotypes in gametes before fertilization or by viability differences of SDL genotypes after fertilizati...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2257974/ https://www.ncbi.nlm.nih.gov/pubmed/18047652 http://dx.doi.org/10.1186/1471-2156-8-82 |
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author | Zhu, Chengsong Zhang, Yuan-Ming |
author_facet | Zhu, Chengsong Zhang, Yuan-Ming |
author_sort | Zhu, Chengsong |
collection | PubMed |
description | BACKGROUND: Chromosomal region that causes distorted segregation ratios is referred to as segregation distortion locus (SDL). The distortion is caused either by differential representation of SDL genotypes in gametes before fertilization or by viability differences of SDL genotypes after fertilization but before genotype scoring. In both cases, observable phenotypes are distorted for marker loci in the chromosomal region close to the SDL. Under the quantitative genetics model for viability selection by proposing a continuous liability controlling the viability of individual, a simplex algorithm has been used to search for the solution in SDL mapping. However, they did not consider the effects of SDL on the construction of linkage maps. RESULTS: We proposed a multipoint maximum-likelihood method to estimate the position and the effects of SDL under the liability model together with both selection coefficients of marker genotypes and recombination fractions. The method was implemented via an expectation and maximization (EM) algorithm. The superiority of the method proposed under the liability model over the previous methods was verified by a series of Monte Carlo simulation experiments, together with a working example derived from the MAPMAKER/QTL software. CONCLUSION: Our results suggested that the new method can serve as a powerful alternative to existing methods for SDL mapping. Under the liability model, the new method can simultaneously estimate the position and the effects of SDL as well as the recombinant fractions between adjacent markers, and also be used to probe into the genetic mechanism for the bias of uncorrected map distance and to elucidate the relationship between the viability selection and genetic linkage. |
format | Text |
id | pubmed-2257974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22579742008-02-28 An EM algorithm for mapping segregation distortion loci Zhu, Chengsong Zhang, Yuan-Ming BMC Genet Methodology Article BACKGROUND: Chromosomal region that causes distorted segregation ratios is referred to as segregation distortion locus (SDL). The distortion is caused either by differential representation of SDL genotypes in gametes before fertilization or by viability differences of SDL genotypes after fertilization but before genotype scoring. In both cases, observable phenotypes are distorted for marker loci in the chromosomal region close to the SDL. Under the quantitative genetics model for viability selection by proposing a continuous liability controlling the viability of individual, a simplex algorithm has been used to search for the solution in SDL mapping. However, they did not consider the effects of SDL on the construction of linkage maps. RESULTS: We proposed a multipoint maximum-likelihood method to estimate the position and the effects of SDL under the liability model together with both selection coefficients of marker genotypes and recombination fractions. The method was implemented via an expectation and maximization (EM) algorithm. The superiority of the method proposed under the liability model over the previous methods was verified by a series of Monte Carlo simulation experiments, together with a working example derived from the MAPMAKER/QTL software. CONCLUSION: Our results suggested that the new method can serve as a powerful alternative to existing methods for SDL mapping. Under the liability model, the new method can simultaneously estimate the position and the effects of SDL as well as the recombinant fractions between adjacent markers, and also be used to probe into the genetic mechanism for the bias of uncorrected map distance and to elucidate the relationship between the viability selection and genetic linkage. BioMed Central 2007-11-29 /pmc/articles/PMC2257974/ /pubmed/18047652 http://dx.doi.org/10.1186/1471-2156-8-82 Text en Copyright © 2007 Zhu and Zhang; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Zhu, Chengsong Zhang, Yuan-Ming An EM algorithm for mapping segregation distortion loci |
title | An EM algorithm for mapping segregation distortion loci |
title_full | An EM algorithm for mapping segregation distortion loci |
title_fullStr | An EM algorithm for mapping segregation distortion loci |
title_full_unstemmed | An EM algorithm for mapping segregation distortion loci |
title_short | An EM algorithm for mapping segregation distortion loci |
title_sort | em algorithm for mapping segregation distortion loci |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2257974/ https://www.ncbi.nlm.nih.gov/pubmed/18047652 http://dx.doi.org/10.1186/1471-2156-8-82 |
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