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Detalle de: Genome-wide association study for intramuscular fatty acid composition in an Iberian × Landrace cross1

Title Genome-wide association study for intramuscular fatty acid composition in an Iberian × Landrace cross1
Abstract

The lipid content and fatty acid (FA) profile have an important impact in human health as well as in the technological transformation and nutritional and organoleptic quality of meat. A genome-wide association study (GWAS) on 144 backcross pigs (25% Iberian × 75% Landrace) was performed for 32 traits associated with intramuscular FA composition and indices of FA metabolism. The GWAS was carried out using Qxpak 5.0 and the genotyping information obtained from the Porcine SNP60K BeadChip (Illumina Inc., San Diego, CA). Signals of significant association considering a false- discovery rate (q-value < 0.05) were observed in 15 of the 32 analyzed traits, and a total of 813 trait-associated SNP (TAS), distributed in 43 chromosomal intervals on almost all autosomes, were annotated. According to the clustering analysis based on functional classification, several of the annotated genes are related to FA composition and lipid metabolism. Some interesting positional concordances among TAS and previously reported QTL for FA compositions and/or other lipid traits were also found. These common genomic regions for different traits suggest pleiotropic effects for FA composition and were found primarily on SSC4, SSC8, and SSC16. These results contribute to our understanding of the complex genetic basis of FA composition and FA metabolism.

Apa Reference Ramayo-Caldas, Y., Mercadé, A., Castelló, A., Yang, B., Rodríguez, C., Alves, E., Díaz, I., Ibáñez-Escriche, N., Noguera, J., Pérez-Enciso, M., Fernández, A. & Folch, J. (2012). Genome-wide association study for intramuscular fatty acid composition in an Iberian × Landrace cross1. Journal of Animal Science, 90(9), 2883-2893. 10.2527/jas.2011-4900
Doi 10.2527/jas.2011-4900
Publication Date 1 Sep 2012
Publication Type Article
Researcher Miguel Pérez Enciso
Ontology Genomics, Population genomics, Multivariate statistics, Quantitative genetics, Clustering
Research Groups
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