ArticleJournal of animal science2022
Identify known and novel candidate genes associated with backfat thickness in Duroc pigs by large-scale genome-wide association analysis.
Article in Journal of animal science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- 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
- Multi-Omics Integration Identifies ABCD4 as a Key Regulator of Backfat Thickness and Lipid Deposition in Pietrain Pigs.Animal genetics · 2026Article
- Integrated GWAS and eQTL Colocalization Identified Candidate Genes for Growth Traits in Pigs.Biology · 2026Article
- CT scanning technology to asses the genetic and phenotypic correlations, and selection potential of carcass traits in mutton sheep.Animal bioscience · 2026Article
- Mendelian randomization and colocalization reveal potential causal effects of average daily gain on carcass composition and reproductive traits in pigs.Journal of animal science and biotechnology · 2026Article
- Genomic insights into population structure, genetic diversity, and key traits of Jiangxi indigenous pigs.BMC genomics · 2025Article
- Decoding the DNA of Anatolian water buffalo by genome-wide discoveries for body size and ultrasound carcass traits.BMC veterinary research · 2025Article
- Multi-omics integration reveals Chr1 associated QTL mediating backfat thickness in pigs.Journal of animal science and biotechnology · 2025Article
- Single-variant genome-wide association study and regional heritability mapping of protein efficiency and performance traits in Large White pigs.Genetics, selection, evolution : GSE · 2025Article
- A Comparison Between High- and Low-Performing Lambs and Their Impact on the Meat Quality and Development Level Using a Multi-Omics Analysis of Rumen Microbe-Muscle-Liver Interactions.Microorganisms · 2025Article
- Estimating body weight in Sujiang pigs using artificial neural network, nearest neighbor, and CART algorithms: a comparative study using morphological measurements.Tropical animal health and production · 2025Article
- Genetic Adaptations of the Tibetan Pig to High-Altitude Hypoxia on the Qinghai-Tibet Plateau.International journal of molecular sciences · 2024Article
- Genome-Wide Association Study for Weight Loss at the End of Dry-Curing of Hams Produced from Purebred Heavy Pigs.Animals : an open access journal from MDPI · 2024Article
- Deciphering the role of alternative splicing as a potential regulator in fat-tail development of sheep: a comprehensive RNA-seq based study.Scientific reports · 2024Review
- Identification of Heilongjiang crossbred beef cattle pedigrees and reveals functional genes related to economic traits based on whole-genome SNP data.Frontiers in genetics · 2024Article
- A genome-wide association study identified candidate regions and genes for commercial traits in a Landrace population.Frontiers in genetics · 2024Article
- Article
- Review
- Differential Expression Analysis of tRNA-Derived Small RNAs from Subcutaneous Adipose Tissue of Obese and Lean Pigs.Animals : an open access journal from MDPI · 2022Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
Backfat thickness (BFT) is complex and economically important traits in the pig industry, since it reflects fat deposition and can be used to measure the carcass lean meat percentage in pigs. In this study, all 6,550 pigs were genotyped using the Geneseek Porcine 50K SNP Chip to identify SNPs related to BFT and to search for candidate genes through genome-wide association analysis in two Duroc populations. In total, 80 SNPs, including 39 significant and 41 suggestive SNPs, and 6 QTLs were identified significantly associated with the BFT. In addition, 9 candidate genes, including a proven major gene MC4R, 3 important candidate genes (RYR1, HMGA1, and NUDT3) which were previously described as related to BFT, and 5 novel candidate genes (SIRT2, NKAIN2, AMH, SORCS1, and SORCS3) were found based on their potential functional roles in BFT. The functions of candidate genes and gene set enrichment analysis indicate that most important pathways are related to energy homeostasis and adipogenesis. Finally, our data suggest that most of the candidate genes can be directly used for genetic improvement through molecular markers, except that the MC4R gene has an antagonistic effect on growth rate and carcass lean meat percentage in breeding. Our results will advance our understanding of the complex genetic architecture of BFT traits and laid the foundation for additional genetic studies to increase carcass lean meat percentage of pig through marker-assisted selection and/or genomic selection.
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Registered trials
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