ArticlePloS one2014
A co-association network analysis of the genetic determination of pig conformation, growth and fatness.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- GWAS and eQTL analysis identifies a SNP associated with both residual feed intake and GFRA2 expression in beef cattle.Scientific reports · 2018Pooled it
- The Effect of Continuous Selection in KiwiCrossAnimals : an open access journal from MDPI · 2025Article
- A genome-wide association study for loin depth and muscle pH in pigs from intensely selected purebred lines.Genetics, selection, evolution : GSE · 2023Article
- Understanding the role of myoglobin content in Iberian pigs fattened in an extensive system through analysis of the transcriptome profile.Animal genetics · 2022Article
- Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle.BMC biology · 2022Article
- Muscle Transcriptome Analysis Reveals Molecular Pathways Related to Oxidative Phosphorylation, Antioxidant Defense, Fatness and Growth in Mangalitsa and Moravka Pigs.Animals : an open access journal from MDPI · 2021Article
- A Co-Association Network Analysis Reveals Putative Regulators for Health-Related Traits in Pigs.Frontiers in immunology · 2021Article
- Genetic Variations and Differential DNA Methylation to Face Contrasted Climates in Small Ruminants: An Analysis on Traditionally-Managed Sheep and Goats.Frontiers in genetics · 2021Article
- Search for Selection Signatures Related to Trypanosomosis Tolerance in African Goats.Frontiers in genetics · 2021Article
- A multi-breed GWAS for morphometric traits in four Beninese indigenous cattle breeds reveals loci associated with conformation, carcass and adaptive traits.BMC genomics · 2020Article
- Identification of eQTLs associated with lipid metabolism in Longissimus dorsi muscle of pigs with different genetic backgrounds.Scientific reports · 2020Article
- Conservation Genomic Analysis of the Croatian Indigenous Black Slavonian and Turopolje Pig Breeds.Frontiers in genetics · 2020Article
- Potential Biomarkers for Feed Efficiency-Related Traits in Nelore Cattle Identified by Co-expression Network and Integrative Genomics Analyses.Frontiers in genetics · 2020Article
- Article
- Analysis of porcine body size variation using re-sequencing data of miniature and large pigs.BMC genomics · 2018Article
- An intersection network based on combining SNP coassociation and RNA coexpression networks for feed utilization traits in Japanese Black cattle.Journal of animal science · 2018Article
- Genome-wide association study of carcass weight in commercial Hanwoo cattle.Asian-Australasian journal of animal sciences · 2018Article
- Expression analysis of candidate genes for fatty acid composition in adipose tissue and identification of regulatory regions.Scientific reports · 2018Article
- Dynamic transcriptome and DNA methylome analyses on longissimus dorsi to identify genes underlying intramuscular fat content in pigs.BMC genomics · 2017Article
- Expression-based GWAS identifies variants, gene interactions and key regulators affecting intramuscular fatty acid content and composition in porcine meat.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeveral QTLs have been identified for major economically relevant traits in livestock, such as growth and meat quality, revealing the complex genetic architecture of these traits. The use of network approaches considering the interactions of multiple molecules and traits provides useful insights into the molecular underpinnings of complex traits. Here, a network based methodology, named Association Weight Matrix, was applied to study gene interactions and pathways affecting pig conformation, growth and fatness traits.
resultsThe co-association network analysis underpinned three transcription factors, PPARγ, ELF1, and PRDM16 involved in mesoderm tissue differentiation. Fifty-four genes in the network belonged to growth-related ontologies and 46 of them were common with a similar study for growth in cattle supporting our results. The functional analysis uncovered the lipid metabolism and the corticotrophin and gonadotrophin release hormone pathways among the most important pathways influencing these traits. Our results suggest that the genes and pathways here identified are important determining either the total body weight of the animal and the fat content. For instance, a switch in the mesoderm tissue differentiation may determinate the age-related preferred pathways being in the puberty stage those related with the miogenic and osteogenic lineages; on the contrary, in the maturity stage cells may be more prone to the adipocyte fate. Hence, our results demonstrate that an integrative genomic co-association analysis is a powerful approach for identifying new connections and interactions among genes.
conclusionsThis work provides insights about pathways and key regulators which may be important determining the animal growth, conformation and body proportions and fatness traits. Molecular information concerning genes and pathways here described may be crucial for the improvement of genetic breeding programs applied to pork meat production.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.