ArticleGenetics, selection, evolution : GSE2021
Genetic architecture and major genes for backfat thickness in pig lines of diverse genetic backgrounds.
Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.
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Who cites it
50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.
- Meta-assembly of genomic associations to identify cattle fat depot candidate genes and pleiotropic effects.BMC genomics · 2024Pooled it
- Comparison of two multi-trait association testing methods and sequence-based fine mapping of six additive QTL in Swiss Large White pigs.BMC genomics · 2023Pooled it
- Meta-analysis of genome-wide association studies uncovers shared candidate genes across breeds for pig fatness trait.BMC genomics · 2022Pooled it
- Distinct functional roles ofAnimal nutrition (Zhongguo xu mu shou yi xue hui) · 2026Article
- Palm Kernel Meal Inclusion Does Not Compromise Performance of Growing and Finishing Pigs Regardless of Feed Form or Corn Processing.Veterinary sciences · 2026Article
- Integrated GWAS and eQTL Colocalization Identified Candidate Genes for Growth Traits in Pigs.Biology · 2026Article
- Impact of increasing market pig weights in North America: a comprehensive review.Journal of animal science and biotechnology · 2026Review
- Integrated targeted metabolomics and transcriptomics analysis reveals heterogeneity of subcutaneous and pericardial adipose tissues in Yili horses.Food chemistry. Molecular sciences · 2026Article
- CT scanning technology to asses the genetic and phenotypic correlations, and selection potential of carcass traits in mutton sheep.Animal bioscience · 2026Article
- Polygenic Prediction of Equestrian Sport Discipline Among Horses Bred for Jumping and Dressage.Animal genetics · 2026Article
- Multi-omics characterization identifies conserved candidate gene and reveals breed-specific regulatory mechanisms underlying growth-related traits in pigs.BMC genomics · 2026Article
- Causal variants in animal genomes: approaches to identification, phenotypic impact, and implications for selective breeding.BMC genomics · 2026Review
- Review
- Genes and Gene Functions Associated with Morphological, Productive, Reproductive, and Carcass Quality Traits in Pigs: A Functional Bioinformatics Approach.Current issues in molecular biology · 2026Article
- Integrative Multi-Omics Analysis Unveils Candidate Genes and Functional Variants for Growth and Reproductive Traits in Duroc Pigs.Animals : an open access journal from MDPI · 2025Article
- Multi-omics integration reveals Chr1 associated QTL mediating backfat thickness in pigs.Journal of animal science and biotechnology · 2025Article
- Integrating parental genomes to reduce reference bias and identify intramuscular fat genes in Qinchuan Black pigs.Journal of animal science and biotechnology · 2025Article
- Genome-Wide Association Study for Individual Primal Cut Quality Traits in Canadian Commercial Crossbred Pigs.Animals : an open access journal from MDPI · 2025Article
- Case Study on the Genetic Parameters and Possibilities of Selecting Gilts for Traits Monitored in the Performance Test.Veterinary sciences · 2025Article
- Genome-Wide Association Study for Belly Traits in Canadian Commercial Crossbred Pigs.Animals : an open access journal from MDPI · 2025Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 4 countries.
Funding
Abstract
backgroundBackfat thickness is an important carcass composition trait for pork production and is commonly included in swine breeding programmes. In this paper, we report the results of a large genome-wide association study for backfat thickness using data from eight lines of diverse genetic backgrounds.
methodsData comprised 275,590 pigs from eight lines with diverse genetic backgrounds (breeds included Large White, Landrace, Pietrain, Hampshire, Duroc, and synthetic lines) genotyped and imputed for 71,324 single-nucleotide polymorphisms (SNPs). For each line, we estimated SNP associations using a univariate linear mixed model that accounted for genomic relationships. SNPs with significant associations were identified using a threshold of p < 10
resultsWe found significant associations with backfat thickness for 264 SNPs across 27 genomic regions. Six genomic regions were detected in three or more lines. The average estimate of the SNP-based heritability was 0.48, with estimates by line ranging from 0.30 to 0.58. The genomic regions jointly explained from 3.2 to 19.5% of the additive genetic variance of backfat thickness within a line. Individual genomic regions explained up to 8.0% of the additive genetic variance of backfat thickness within a line. Some of these 27 genomic regions also explained up to 1.6% of the additive genetic variance in lines for which the genomic region was not statistically significant. We identified 64 candidate genes with annotated functions that can be related to fat metabolism, including well-studied genes such as MC4R, IGF2, and LEPR, and more novel candidate genes such as DHCR7, FGF23, MEDAG, DGKI, and PTN.
conclusionsOur results confirm the polygenic architecture of backfat thickness and the role of genes involved in energy homeostasis, adipogenesis, fatty acid metabolism, and insulin signalling pathways for fat deposition in pigs. The results also suggest that several less well-understood metabolic pathways contribute to backfat development, such as those of phosphate, calcium, and vitamin D homeostasis.
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Registered trials
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 OpenQuestion graph.