ArticleBMC genomics2013
Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data.
Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Genome-wide association analyses for meat quality traits in Chinese Erhualian pigs and a Western Duroc × (Landrace × Yorkshire) commercial population.Genetics, selection, evolution : GSE · 2015Pooled it
- A functional variant in the porcine APOA2 promoter alters hepatic gene expression via RORα.Scientific reports · 2026Article
- Genome-wide association analyses for growth, carcass composition, and meat quality traits of Iberian pigs fattened in free open air.Journal of animal science · 2026Article
- Evaluation of genetic effects on the fatty acid composition of intramuscular fat and backfat of the endangered Angler Saddleback pig.Archives animal breeding · 2026Article
- Genome-wide association study of nutrient composition in meat from three two-way crossbred pig populations using whole-genome resequencing.Frontiers in veterinary science · 2026Article
- Relationships Between Expressions and Variants of the Myosin-Binding Protein C1 Gene and Fatty Acid Composition in Longissimus Thoracis Muscle of Grazing Sonid Sheep.Food science & nutrition · 2025Article
- Identification of ROH Islands Conserved through Generations in Pigs Belonging to the Nero Lucano Breed.Genes · 2023Article
- Integrative methylome and transcriptome analysis of porcine abdominal fat indicates changes in fat metabolism and immune responses during different development.Journal of animal science · 2022Article
- SNP discovery and association study for growth, fatness and meat quality traits in Iberian crossbred pigs.Scientific reports · 2022Article
- Association ofBiology · 2022Article
- Expression analysis of porcine miR-33a/b in liver, adipose tissue and muscle and its potential role in fatty acid metabolism.PloS one · 2021Article
- Genome-Wide Association Analysis Reveals Genetic Loci and Candidate Genes for Chest, Abdominal, and Waist Circumferences in Two Duroc Pig Populations.Frontiers in veterinary science · 2021Article
- Identification of eQTLs associated with lipid metabolism in Longissimus dorsi muscle of pigs with different genetic backgrounds.Scientific reports · 2020Article
- miR-34a regulates adipogenesis in porcine intramuscular adipocytes by targeting ACSL4.BMC genetics · 2020Article
- About the existence of common determinants of gene expression in the porcine liver and skeletal muscle.BMC genomics · 2019Article
- Multi-population GWAS and enrichment analyses reveal novel genomic regions and promising candidate genes underlying bovine milk fatty acid composition.BMC genomics · 2019Article
- Comparing the mRNA expression profile and the genetic determinism of intramuscular fat traits in the porcine gluteus medius and longissimus dorsi muscles.BMC genomics · 2019Article
- Genetic control of longissimus dorsi muscle gene expression variation and joint analysis with phenotypic quantitative trait loci in pigs.BMC genomics · 2019Article
- Landscape of Loci and Candidate Genes for Muscle Fatty Acid Composition in Pigs Revealed by Multiple Population Association Analysis.Frontiers in genetics · 2019Article
- Genome wide association study of fatty acid composition in Duroc swine.Asian-Australasian journal of animal sciences · 2018Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPorcine fatty acid composition is a key factor for quality and nutritive value of pork. Several QTLs for fatty acid composition have been reported in diverse fat tissues. The results obtained so far seem to point out different genetic control of fatty acid composition conditional on the fat deposits. Those studies have been conducted using simple approaches and most of them focused on one single tissue. The first objective of the present study was to identify tissue-specific and tissue-consistent QTLs for fatty acid composition in backfat and intramuscular fat, combining linkage mapping and GWAS approaches and conducted under single and multitrait models. A second aim was to identify powerful candidate genes for these tissue-consistent QTLs, using microarray gene expression data and following a targeted genetical genomics approach.
resultsThe single model analyses, linkage and GWAS, revealed over 30 and 20 chromosomal regions, 24 of them identified here for the first time, specifically associated to the content of diverse fatty acids in BF and IMF, respectively. The analyses with multitrait models allowed identifying for the first time with a formal statistical approach seven different regions with pleiotropic effects on particular fatty acids in both fat deposits. The most relevant were found on SSC8 for C16:0 and C16:1(n-7) fatty acids, detected by both linkage and GWAS approaches. Other detected pleiotropic regions included one on SSC1 for C16:0, two on SSC4 for C16:0 and C18:2, one on SSC11 for C20:3 and the last one on SSC17 for C16:0. Finally, a targeted eQTL scan focused on regions showing tissue-consistent effects was conducted with Longissimus and fat gene expression data. Some powerful candidate genes and regions were identified such as the PBX1, RGS4, TRIB3 and a transcription regulatory element close to ELOVL6 gene to be further studied.
conclusionsComplementary genome scans have confirmed several chromosome regions previously associated to fatty acid composition in backfat and intramuscular fat, but even more, to identify new ones. Although most of the detected regions were tissue-specific, supporting the hypothesis that the major part of genes affecting fatty acid composition differs among tissues, seven chromosomal regions showed tissue-consistent effects. Additional gene expression analyses have revealed powerful target regions to carry the mutation responsible for the pleiotropic effects.
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