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Application of alternative models to identify QTL for growth traits in an F(2 )Duroc x Pietrain pig resource population
BACKGROUND: A variety of analysis approaches have been applied to detect quantitative trait loci (QTL) in experimental populations. The initial genome scan of our Duroc x Pietrain F(2 )resource population included 510 F(2 )animals genotyped with 124 microsatellite markers and analyzed using a line-c...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2989936/ https://www.ncbi.nlm.nih.gov/pubmed/21040587 http://dx.doi.org/10.1186/1471-2156-11-97 |
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author | Choi, Igseo Steibel, Juan P Bates, Ronald O Raney, Nancy E Rumph, Janice M Ernst, Catherine W |
author_facet | Choi, Igseo Steibel, Juan P Bates, Ronald O Raney, Nancy E Rumph, Janice M Ernst, Catherine W |
author_sort | Choi, Igseo |
collection | PubMed |
description | BACKGROUND: A variety of analysis approaches have been applied to detect quantitative trait loci (QTL) in experimental populations. The initial genome scan of our Duroc x Pietrain F(2 )resource population included 510 F(2 )animals genotyped with 124 microsatellite markers and analyzed using a line-cross model. For the second scan, 20 additional markers on 9 chromosomes were genotyped for 954 F(2 )animals and 20 markers used in the first scan were genotyped for 444 additional F(2 )animals. Three least-squares Mendelian models for QTL analysis were applied for the second scan: a line-cross model, a half-sib model, and a combined line-cross and half-sib model. RESULTS: In total, 26 QTL using the line-cross model, 12 QTL using the half-sib model and 3 additional QTL using the combined line-cross and half-sib model were detected for growth traits with a 5% false discovery rate (FDR) significance level. In the line-cross analysis, highly significant QTL for fat deposition at 10-, 13-, 16-, 19-, and 22-wk of age were detected on SSC6. In the half-sib analysis, a QTL for loin muscle area at 19-wk of age was detected on SSC7 and QTL for 10th-rib backfat at 19- and 22-wk of age were detected on SSC15. CONCLUSIONS: Additional markers and animals contributed to reduce the confidence intervals and increase the test statistics for QTL detection. Different models allowed detection of new QTL which indicated differing frequencies for alternative alleles in parental breeds. |
format | Text |
id | pubmed-2989936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29899362010-12-13 Application of alternative models to identify QTL for growth traits in an F(2 )Duroc x Pietrain pig resource population Choi, Igseo Steibel, Juan P Bates, Ronald O Raney, Nancy E Rumph, Janice M Ernst, Catherine W BMC Genet Research Article BACKGROUND: A variety of analysis approaches have been applied to detect quantitative trait loci (QTL) in experimental populations. The initial genome scan of our Duroc x Pietrain F(2 )resource population included 510 F(2 )animals genotyped with 124 microsatellite markers and analyzed using a line-cross model. For the second scan, 20 additional markers on 9 chromosomes were genotyped for 954 F(2 )animals and 20 markers used in the first scan were genotyped for 444 additional F(2 )animals. Three least-squares Mendelian models for QTL analysis were applied for the second scan: a line-cross model, a half-sib model, and a combined line-cross and half-sib model. RESULTS: In total, 26 QTL using the line-cross model, 12 QTL using the half-sib model and 3 additional QTL using the combined line-cross and half-sib model were detected for growth traits with a 5% false discovery rate (FDR) significance level. In the line-cross analysis, highly significant QTL for fat deposition at 10-, 13-, 16-, 19-, and 22-wk of age were detected on SSC6. In the half-sib analysis, a QTL for loin muscle area at 19-wk of age was detected on SSC7 and QTL for 10th-rib backfat at 19- and 22-wk of age were detected on SSC15. CONCLUSIONS: Additional markers and animals contributed to reduce the confidence intervals and increase the test statistics for QTL detection. Different models allowed detection of new QTL which indicated differing frequencies for alternative alleles in parental breeds. BioMed Central 2010-11-01 /pmc/articles/PMC2989936/ /pubmed/21040587 http://dx.doi.org/10.1186/1471-2156-11-97 Text en Copyright ©2010 Choi 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 Article Choi, Igseo Steibel, Juan P Bates, Ronald O Raney, Nancy E Rumph, Janice M Ernst, Catherine W Application of alternative models to identify QTL for growth traits in an F(2 )Duroc x Pietrain pig resource population |
title | Application of alternative models to identify QTL for growth traits in an F(2 )Duroc x Pietrain pig resource population |
title_full | Application of alternative models to identify QTL for growth traits in an F(2 )Duroc x Pietrain pig resource population |
title_fullStr | Application of alternative models to identify QTL for growth traits in an F(2 )Duroc x Pietrain pig resource population |
title_full_unstemmed | Application of alternative models to identify QTL for growth traits in an F(2 )Duroc x Pietrain pig resource population |
title_short | Application of alternative models to identify QTL for growth traits in an F(2 )Duroc x Pietrain pig resource population |
title_sort | application of alternative models to identify qtl for growth traits in an f(2 )duroc x pietrain pig resource population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2989936/ https://www.ncbi.nlm.nih.gov/pubmed/21040587 http://dx.doi.org/10.1186/1471-2156-11-97 |
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