ArticleAnimal bioscience2025
Single- and multiple-locus model genome-wide association study for growth traits in Dongliao black pigs.
Article in Animal bioscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Genome-wide association and Mendelian randomization analyses of placental efficiency and piglet birth weight in Danish Large White pigs.Animal bioscience · 2026Article
- A 20 Bp Indel ofAnimals : an open access journal from MDPI · 2026Article
- Genome-Wide Association Study Identifies Candidate Genes for Body Size Traits in Wanyue Black Pigs.Animals : an open access journal from MDPI · 2025Article
- Rapid Identification of the SNP Mutation in theAnimals : an open access journal from MDPI · 2025Article
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11 authors.
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Abstract
objectiveGrowth traits are one of the most important economic traits in pigs, including body weight and average daily gain. However, the available genetic markers for these traits are limited, especially concerning Chinese indigenous pigs and their hybrid breeds.
methodsTo identify SNP markers and candidate genes affecting body weight and average daily gain traits, we performed a genome-wide association study (GWAS) for these traits in 358 Dongliao black pigs using three single-locus and three multiple-locus models. All pigs were genotyped using the China Chip-1 porcine SNP50K BeadChip.
resultsThe GWAS revealed 39 significant quantitative trait loci (QTLs) affecting body weight and average daily gain traits. Among these, 26 QTLs were significantly correlated with body weight traits. Thirteen QTLs showed significant correlations with average daily gain traits. Some candidate genes associated with body weight and average daily gain traits include MACROD2, ASB13, ATP12A, ZDHHC17, WDR37 and TENM4. Of the three single-locus models examined, only the general linear model identified significant SNPs, identifying a total of 27 significant QTLs, which was the largest among the models assessed. The three multiple-locus models, multiple-locus mixed-model, FarmCPU and Bayesian-information and LD iteratively nested keyway, identified 4, 12 and 13 significant QTL loci, respectively.
conclusionWe newly identified 18 QTLs that are significantly correlated with body weight and average daily gain traits. Our results provided a foundation for biomarker breeding and enhancement of body weight and average daily gain traits in pigs.
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