Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation
Abstract 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....
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6758b430489c49328634f4f2339194d6 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:6758b430489c49328634f4f2339194d6 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:6758b430489c49328634f4f2339194d62021-12-02T15:09:46ZGenome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation10.1038/s41598-018-37216-z2045-2322https://doaj.org/article/6758b430489c49328634f4f2339194d62019-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-37216-zhttps://doaj.org/toc/2045-2322Abstract 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.Wossenie MebratieHenry ReyerKlaus WimmersHenk BovenhuisJust JensenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-10 (2019) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Wossenie Mebratie Henry Reyer Klaus Wimmers Henk Bovenhuis Just Jensen Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation |
description |
Abstract 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 |
article |
author |
Wossenie Mebratie Henry Reyer Klaus Wimmers Henk Bovenhuis Just Jensen |
author_facet |
Wossenie Mebratie Henry Reyer Klaus Wimmers Henk Bovenhuis Just Jensen |
author_sort |
Wossenie Mebratie |
title |
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_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_sort |
genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/6758b430489c49328634f4f2339194d6 |
work_keys_str_mv |
AT wosseniemebratie genomewideassociationstudyofbodyweightandfeedefficiencytraitsinacommercialbroilerchickenpopulationarevisitation AT henryreyer genomewideassociationstudyofbodyweightandfeedefficiencytraitsinacommercialbroilerchickenpopulationarevisitation AT klauswimmers genomewideassociationstudyofbodyweightandfeedefficiencytraitsinacommercialbroilerchickenpopulationarevisitation AT henkbovenhuis genomewideassociationstudyofbodyweightandfeedefficiencytraitsinacommercialbroilerchickenpopulationarevisitation AT justjensen genomewideassociationstudyofbodyweightandfeedefficiencytraitsinacommercialbroilerchickenpopulationarevisitation |
_version_ |
1718387755703074816 |