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dc.contributor.authorManunza, Arianna
dc.contributor.authorCasellas, Joaquim
dc.contributor.authorQuintanilla Aguado, Raquel
dc.contributor.authorGonzález-Prendes, Rayner
dc.contributor.authorPena i Subirà, Ramona Natacha
dc.contributor.authorTibau, Joan
dc.contributor.authorMercadé Carceller, Anna
dc.contributor.authorCastelló, Anna
dc.contributor.authorAznarez, Nitdia
dc.contributor.authorHernández-Sánchez, Jules
dc.contributor.authorAmills i Eras, Marcel
dc.date.accessioned2015-09-24T12:49:08Z
dc.date.available2015-09-24T12:49:08Z
dc.date.issued2014-09-10
dc.identifier.issn1471-2164
dc.identifier.urihttp://hdl.handle.net/10459.1/48762
dc.description.abstractBackground: The genetic determinism of blood lipid concentrations, the main risk factor for atherosclerosis, is practically unknown in species other than human and mouse. Even in model organisms, little is known about how the genetic determinants of lipid traits are modulated by age-specific factors. To gain new insights into this issue, we have carried out a genome-wide association study (GWAS) for cholesterol (CHOL), triglyceride (TRIG) and low (LDL) and high (HDL) density lipoprotein concentrations measured in Duroc pigs at two time points (45 and 190 days). Results: Analysis of data with mixed-model methods (EMMAX, GEMMA, GenABEL) and PLINK showed a low positional concordance between trait-associated regions (TARs) for serum lipids at 45 and 190 days. Besides, the proportion of phenotypic variance explained by SNPs at these two time points was also substantially different. The four analyses consistently detected two regions on SSC3 (124 Mb, CHOL and LDL at 190 days) and SSC6 (135 Mb, CHOL and TRIG at 190 days) with highly significant effects on the porcine blood lipid profile. Moreover, we have found that SNP variation within SSC3, SSC6, SSC10, SSC13 and SSC16 TARs is associated with the expression of several genes mapping to other chromosomes and related to lipid metabolism. Conclusions: Our data demonstrate that the effects of genomic determinants influencing lipid concentrations in pigs, as well as the amount of phenotypic variance they explain, are influenced by age-related factors.
dc.description.sponsorshipThis work has been funded by grants AGL2007-66707-C02 and AGL2010-22208-C02 (Ministerio de Ciencia e Innovación) and CSD 2007-00036 (Ministerio de Ciencia e Innovación, Consolider Ingenio 2010 Program).
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherBioMed Central
dc.relationMIECI/PN2004-2007/AGL2007-66707-C02
dc.relationMICINN/PN2008-2011/AGL2010-22208-C02
dc.relationMIECI/PN2004-2007/CSD 2007-00036
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1186/1471-2164-15-758
dc.relation.ispartofBmc Genomics, 2014, vol. 15, num. 758, p. 1-12
dc.rightscc-by (c) Manunza, Arianna et al., 2014
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.subjectMejora genética
dc.subjectGenética molecular
dc.subjectGenomica funcional
dc.subjectSNP
dc.subject.classificationGenètica molecular
dc.subject.classificationGenòmica
dc.subject.classificationSèrum
dc.subject.otherMolecular genetics
dc.subject.otherGenomics
dc.subject.otherSerum
dc.titleA genome-wide association analysis for porcine serum lipid traits reveals the existence of age-specific genetic determinants
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2015-09-24T12:49:08Z
dc.identifier.idgrec021475
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1186/1471-2164-15-758


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cc-by (c) Manunza, Arianna et al., 2014
Except where otherwise noted, this item's license is described as cc-by (c) Manunza, Arianna et al., 2014