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An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree

Variance component (VC) approaches based on restricted maximum likelihood (REML) have been used as an attractive method for positioning of quantitative trait loci (QTL). Linkage disequilibrium (LD) information can be easily implemented in the covariance structure among QTL effects (e.g. genotype rel...

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Detalles Bibliográficos
Autores principales: Lee, Sang Hong, Werf, Julius HJ van der
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689296/
https://www.ncbi.nlm.nih.gov/pubmed/16451790
http://dx.doi.org/10.1186/1297-9686-38-1-25
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author Lee, Sang Hong
Werf, Julius HJ van der
author_facet Lee, Sang Hong
Werf, Julius HJ van der
author_sort Lee, Sang Hong
collection PubMed
description Variance component (VC) approaches based on restricted maximum likelihood (REML) have been used as an attractive method for positioning of quantitative trait loci (QTL). Linkage disequilibrium (LD) information can be easily implemented in the covariance structure among QTL effects (e.g. genotype relationship matrix) and mapping resolution appears to be high. Because of the use of LD information, the covariance structure becomes much richer and denser compared to the use of linkage information alone. This makes an average information (AI) REML algorithm based on mixed model equations and sparse matrix techniques less useful. In addition, (near-) singularity problems often occur with high marker densities, which is common in fine-mapping, causing numerical problems in AIREML based on mixed model equations. The present study investigates the direct use of the variance covariance matrix of all observations in AIREML for LD mapping with a general complex pedigree. The method presented is more efficient than the usual approach based on mixed model equations and robust to numerical problems caused by near-singularity due to closely linked markers. It is also feasible to fit multiple QTL simultaneously in the proposed method whereas this would drastically increase computing time when using mixed model equation-based methods.
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spelling pubmed-26892962009-06-02 An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree Lee, Sang Hong Werf, Julius HJ van der Genet Sel Evol Research Variance component (VC) approaches based on restricted maximum likelihood (REML) have been used as an attractive method for positioning of quantitative trait loci (QTL). Linkage disequilibrium (LD) information can be easily implemented in the covariance structure among QTL effects (e.g. genotype relationship matrix) and mapping resolution appears to be high. Because of the use of LD information, the covariance structure becomes much richer and denser compared to the use of linkage information alone. This makes an average information (AI) REML algorithm based on mixed model equations and sparse matrix techniques less useful. In addition, (near-) singularity problems often occur with high marker densities, which is common in fine-mapping, causing numerical problems in AIREML based on mixed model equations. The present study investigates the direct use of the variance covariance matrix of all observations in AIREML for LD mapping with a general complex pedigree. The method presented is more efficient than the usual approach based on mixed model equations and robust to numerical problems caused by near-singularity due to closely linked markers. It is also feasible to fit multiple QTL simultaneously in the proposed method whereas this would drastically increase computing time when using mixed model equation-based methods. BioMed Central 2005-12-21 /pmc/articles/PMC2689296/ /pubmed/16451790 http://dx.doi.org/10.1186/1297-9686-38-1-25 Text en Copyright © 2005 INRA, EDP Sciences
spellingShingle Research
Lee, Sang Hong
Werf, Julius HJ van der
An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree
title An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree
title_full An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree
title_fullStr An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree
title_full_unstemmed An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree
title_short An efficient variance component approach implementing an average information REML suitable for combined LD and linkage mapping with a general complex pedigree
title_sort efficient variance component approach implementing an average information reml suitable for combined ld and linkage mapping with a general complex pedigree
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689296/
https://www.ncbi.nlm.nih.gov/pubmed/16451790
http://dx.doi.org/10.1186/1297-9686-38-1-25
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