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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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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2011
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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. |
format | Text |
id | pubmed-3103202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT szydlowskimaciej qtlmas2010simulateddataset AT paczynskapaulina qtlmas2010simulateddataset |