A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps

BACKGROUND: In the case of an autosomal locus, four transmission events from the parents to progeny are possible, specified by the grand parental origin of the alleles inherited by this individual. Computing the probabilities of these transmission events is essential to perform QTL detection methods...

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Detalles Bibliográficos
Autores principales: Elsen, Jean-Michel, Filangi, Olivier, Gilbert, Hélène, Le Roy, Pascale, Moreno, Carole
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2793243/
https://www.ncbi.nlm.nih.gov/pubmed/19919698
http://dx.doi.org/10.1186/1297-9686-41-50
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author Elsen, Jean-Michel
Filangi, Olivier
Gilbert, Hélène
Le Roy, Pascale
Moreno, Carole
author_facet Elsen, Jean-Michel
Filangi, Olivier
Gilbert, Hélène
Le Roy, Pascale
Moreno, Carole
author_sort Elsen, Jean-Michel
collection PubMed
description BACKGROUND: In the case of an autosomal locus, four transmission events from the parents to progeny are possible, specified by the grand parental origin of the alleles inherited by this individual. Computing the probabilities of these transmission events is essential to perform QTL detection methods. RESULTS: A fast algorithm for the estimation of these probabilities conditional to parental phases has been developed. It is adapted to classical QTL detection designs applied to outbred populations, in particular to designs composed of half and/or full sib families. It assumes the absence of interference. CONCLUSION: The theory is fully developed and an example is given.
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spelling pubmed-27932432009-12-15 A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps Elsen, Jean-Michel Filangi, Olivier Gilbert, Hélène Le Roy, Pascale Moreno, Carole Genet Sel Evol Research BACKGROUND: In the case of an autosomal locus, four transmission events from the parents to progeny are possible, specified by the grand parental origin of the alleles inherited by this individual. Computing the probabilities of these transmission events is essential to perform QTL detection methods. RESULTS: A fast algorithm for the estimation of these probabilities conditional to parental phases has been developed. It is adapted to classical QTL detection designs applied to outbred populations, in particular to designs composed of half and/or full sib families. It assumes the absence of interference. CONCLUSION: The theory is fully developed and an example is given. BioMed Central 2009-11-17 /pmc/articles/PMC2793243/ /pubmed/19919698 http://dx.doi.org/10.1186/1297-9686-41-50 Text en Copyright ©2009 Elsen et al; 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 Research
Elsen, Jean-Michel
Filangi, Olivier
Gilbert, Hélène
Le Roy, Pascale
Moreno, Carole
A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps
title A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps
title_full A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps
title_fullStr A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps
title_full_unstemmed A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps
title_short A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps
title_sort fast algorithm for estimating transmission probabilities in qtl detection designs with dense maps
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2793243/
https://www.ncbi.nlm.nih.gov/pubmed/19919698
http://dx.doi.org/10.1186/1297-9686-41-50
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