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Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation
Genome wide association study was conducted using a mixed linear model (MLM) approach that accounted for family structure to identify single nucleotide polymorphisms (SNPs) and candidate genes associated with body weight (BW) and feed efficiency (FE) traits in a broiler chicken population. The resul...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351590/ https://www.ncbi.nlm.nih.gov/pubmed/30696883 http://dx.doi.org/10.1038/s41598-018-37216-z |
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author | Mebratie, Wossenie Reyer, Henry Wimmers, Klaus Bovenhuis, Henk Jensen, Just |
author_facet | Mebratie, Wossenie Reyer, Henry Wimmers, Klaus Bovenhuis, Henk Jensen, Just |
author_sort | Mebratie, Wossenie |
collection | PubMed |
description | Genome wide association study was conducted using a mixed linear model (MLM) approach that accounted for family structure to identify single nucleotide polymorphisms (SNPs) and candidate genes associated with body weight (BW) and feed efficiency (FE) traits in a broiler chicken population. The results of the MLM approach were compared with the results of a general linear model approach that does not take family structure in to account. In total, 11 quantitative trait loci (QTL) and 21 SNPs, were identified to be significantly associated with BW traits and 5 QTL and 5 SNPs were found associated with FE traits using MLM approach. Besides some overlaps between the results of the two GWAS approaches, there are considerable differences in the detected QTL. Even though the genomic inflation factor (λ) values indicate that there is no strong family structure in this population, using models that account for the existing family structure may reduce bias and increase accuracy of the estimated SNP effects in the association analysis. The SNPs and candidate genes identified in this study provide information on the genetic background of BW and FE traits in broiler chickens and might be used as prior information for genomic selection. |
format | Online Article Text |
id | pubmed-6351590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63515902019-01-31 Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation Mebratie, Wossenie Reyer, Henry Wimmers, Klaus Bovenhuis, Henk Jensen, Just Sci Rep Article Genome wide association study was conducted using a mixed linear model (MLM) approach that accounted for family structure to identify single nucleotide polymorphisms (SNPs) and candidate genes associated with body weight (BW) and feed efficiency (FE) traits in a broiler chicken population. The results of the MLM approach were compared with the results of a general linear model approach that does not take family structure in to account. In total, 11 quantitative trait loci (QTL) and 21 SNPs, were identified to be significantly associated with BW traits and 5 QTL and 5 SNPs were found associated with FE traits using MLM approach. Besides some overlaps between the results of the two GWAS approaches, there are considerable differences in the detected QTL. Even though the genomic inflation factor (λ) values indicate that there is no strong family structure in this population, using models that account for the existing family structure may reduce bias and increase accuracy of the estimated SNP effects in the association analysis. The SNPs and candidate genes identified in this study provide information on the genetic background of BW and FE traits in broiler chickens and might be used as prior information for genomic selection. Nature Publishing Group UK 2019-01-29 /pmc/articles/PMC6351590/ /pubmed/30696883 http://dx.doi.org/10.1038/s41598-018-37216-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mebratie, Wossenie Reyer, Henry Wimmers, Klaus Bovenhuis, Henk Jensen, Just Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation |
title | Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation |
title_full | Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation |
title_fullStr | Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation |
title_full_unstemmed | Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation |
title_short | Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation |
title_sort | genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351590/ https://www.ncbi.nlm.nih.gov/pubmed/30696883 http://dx.doi.org/10.1038/s41598-018-37216-z |
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