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QTLMAS 2010: simulated dataset

BACKGROUND: Objective was to simulate the data for the QTLMAS 2010 Workshop under a model that includes major additive, epistatic and parent-of-origin effects. RESULTS: Data were simulated for 3226 individuals in 5 generations. Genomic data for 5 chromosomes were simulated using coalescent model. In...

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Autores principales: Szydlowski, Maciej, Paczyńska, Paulina
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3103202/
https://www.ncbi.nlm.nih.gov/pubmed/21624173
http://dx.doi.org/10.1186/1753-6561-5-S3-S3
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author Szydlowski, Maciej
Paczyńska, Paulina
author_facet Szydlowski, Maciej
Paczyńska, Paulina
author_sort Szydlowski, Maciej
collection PubMed
description BACKGROUND: Objective was to simulate the data for the QTLMAS 2010 Workshop under a model that includes major additive, epistatic and parent-of-origin effects. RESULTS: Data were simulated for 3226 individuals in 5 generations. Genomic data for 5 chromosomes were simulated using coalescent model. In total, the data included 10,031 SNPs, 30 additive QTLs, 2 interacting QTL pairs, and 3 imprinted loci. The density was 20 SNPs/1Mb, whereas mean linkage disequilibrium between adjacent SNPs was 0.1. One quantitative and one binary trait were simulated with heritability of 0.39-0.52 and additive correlation of 0.59. The data can be used as a benchmark for comparison of QTL mapping methods and models for genomic breeding value estimation under complex genetic architecture.
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spelling pubmed-31032022011-05-28 QTLMAS 2010: simulated dataset Szydlowski, Maciej Paczyńska, Paulina BMC Proc Proceedings BACKGROUND: Objective was to simulate the data for the QTLMAS 2010 Workshop under a model that includes major additive, epistatic and parent-of-origin effects. RESULTS: Data were simulated for 3226 individuals in 5 generations. Genomic data for 5 chromosomes were simulated using coalescent model. In total, the data included 10,031 SNPs, 30 additive QTLs, 2 interacting QTL pairs, and 3 imprinted loci. The density was 20 SNPs/1Mb, whereas mean linkage disequilibrium between adjacent SNPs was 0.1. One quantitative and one binary trait were simulated with heritability of 0.39-0.52 and additive correlation of 0.59. The data can be used as a benchmark for comparison of QTL mapping methods and models for genomic breeding value estimation under complex genetic architecture. BioMed Central 2011-05-27 /pmc/articles/PMC3103202/ /pubmed/21624173 http://dx.doi.org/10.1186/1753-6561-5-S3-S3 Text en Copyright ©2011 Szydlowski and Paczyńska; 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 Proceedings
Szydlowski, Maciej
Paczyńska, Paulina
QTLMAS 2010: simulated dataset
title QTLMAS 2010: simulated dataset
title_full QTLMAS 2010: simulated dataset
title_fullStr QTLMAS 2010: simulated dataset
title_full_unstemmed QTLMAS 2010: simulated dataset
title_short QTLMAS 2010: simulated dataset
title_sort qtlmas 2010: simulated dataset
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3103202/
https://www.ncbi.nlm.nih.gov/pubmed/21624173
http://dx.doi.org/10.1186/1753-6561-5-S3-S3
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