Associations between genetic variants and gene expression in porcine blood

DOI

The transcriptome can be used as an intermediary phenotype in the search for biomarkers. In the present study we aimed to find associations between genomic variability and gene expression levels of porcine blood in order to evaluate their biomarker potential. For this reason blood was collected from 255 commercial Durocs at age 60 days. Animals were genotiped using a GGP Porcine HD Array (Illumina) and imputed to whole genome sequencing level using the PigGTEx reference population. Blood RNA-seq was performed in order to obtain gene-expression levels. Then expression Genome Wide Association Studies were performed between the resulting 8,499,177 variants and 14,642 expressed genes. Finding more than 23 million significant associations across 6,051 genes. The results of this technique highlight several potential biomarkers of genetic determinsim of pig gene-expression levels in blood.

Identifier
DOI https://doi.org/10.34810/data2296
Related Identifier IsCitedBy https://doi.org/10.3389/fimmu.2025.1582982
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2296
Provenance
Creator Jové-Juncà, Teodor ORCID logo; Crespo-Piazuelo, Daniel ORCID logo; Hernández-Banqué, Carles ORCID logo; González-Rodriguez, Olga; Fang, LingZhao ORCID logo; Quintanilla, Raquel ORCID logo; Ballester, Maria ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Ballester, Maria; Institut de Recerca i Tecnologia Agroalimentàries
Publication Year 2025
Funding Reference MINECO, Ministerio de Economía y Competividad AGL2016-75432-R ; Ministerio de Ciencia e Innovación PID2020-112677RB-C21 ; Ministerio de Ciencia, Innovación y Universidades PID2023-148961OB-C21
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Ballester, Maria (Institut de Recerca i Tecnologia Agroalimentàries)
Representation
Resource Type Experimental data; Dataset
Format application/zip; text/plain
Size 209841651; 9958
Version 4.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences
Spatial Coverage Girona, Catalonia, Spain