Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Topics Community

Article

Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs.

Scientific reports - 19 Apr 2017

Ballester Maria, Ramayo-Caldas Yuliaxis, Revilla Manuel, Corominas Jordi, Castelló Anna, Estellé Jordi, Fernández Ana I, Folch Josep M

Abstract excerpt

In the present study, liver co-expression networks and expression Genome Wide Association Study (eGWAS) were performed to identify DNA variants and molecular pathways implicated in the functional regulatory mechanisms of meat quality traits in pigs. With this purpose, the liver mRNA expression of 44 candidates genes related with lipid metabolism was analysed in 111 Iberian x Landrace backcross animals. The eGWAS...

Topics

Animals
Female
Gene Regulatory Networks
Genome-Wide Association Study
Lipid Metabolism
Liver
Male
Polymorphism, Single Nucleotide
Swine

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Open in PubMed Open full text

Identifiers

PMID: 28422154
DOI: 10.1038/srep46539
PMCID: PMC5396199

Genes

FABP1
PPARA
CROT
DGAT1
EGF
FABP5
TBCK

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs.PMID 28422154Read ↗

Identification of genomic regions, genetic variants and gene networks regulating candidate genes for lipid metabolism in pig muscle.Semantic proximity Read ↗

From SNP co-association to RNA co-expression: novel insights into gene networks for intramuscular fatty acid composition in porcine.Semantic proximity Read ↗

Expression analysis of candidate genes for fatty acid composition in adipose tissue and identification of regulatory regions.Semantic proximity Read ↗

Global analysis of the association between pig muscle fatty acid composition and gene expression using RNA-Seq.Semantic proximity Read ↗

Integration of transcriptome and whole genomic resequencing data to identify key genes affecting swine fat deposition.Semantic proximity Read ↗

Comparative Analysis of Muscle Transcriptome between Pig Genotypes Identifies Genes and Regulatory Mechanisms Associated to Growth, Fatness and Metabolism.Semantic proximity Read ↗

Genetically regulated hepatic transcripts and pathways orchestrate haematological, biochemical and body composition traits.Semantic proximity Read ↗

Key co-expressed genes correlated with blood serum parameters of pigs fed with different fatty acid profile dietsSemantic proximity Read ↗

Analysis of the porcine APOA2 gene expression in liver, polymorphism identification and association with fatty acid composition traits.Semantic proximity Read ↗

Genome-wide association study for intramuscular fatty acid composition in an Iberian × Landrace cross.Semantic proximity Read ↗

Integrating expression profiling and whole-genome association for dissection of fat traits in a porcine model.Semantic proximity Read ↗

Identification of genomic regions associated with fatty acid metabolism across blood, liver, backfat and muscle in pigs.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.