ArticleGenes2021
Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population.
Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Multi-ancestry genome-wide association meta-analysis identifies candidate genes for computed tomography-based carcass composition traits in pigs.Genetics, selection, evolution : GSE · 2025Pooled it
- Pooled it
- GWAS of Reproductive Traits in Large White Pigs on Chip and Imputed Whole-Genome Sequencing Data.International journal of molecular sciences · 2022Pooled it
- Integrated GWAS and eQTL Colocalization Identified Candidate Genes for Growth Traits in Pigs.Biology · 2026Article
- Determining crossover count and position in two pig lines with different selection histories.Genetics, selection, evolution : GSE · 2026Article
- Integrative multi-omics analysis identifies GNAZ and SLC5A4 as critical regulators of gestation length in Large White pigs.Genetics, selection, evolution : GSE · 2026Article
- Recent Trends in Food Quality and Authentication: The Role of Omics Technologies in Dairy and Meat Production.International journal of molecular sciences · 2025Review
- Genome-Wide Association Studies of Body Weight and Average Daily Gain in Chinese Dongliao Black Pigs.International journal of molecular sciences · 2025Article
- Identification of selection signatures and genetic diversity in the sheep.Tropical animal health and production · 2025Article
- Comprehensive genome-wide analysis of genetic loci and candidate genes associated with litter traits in purebred Berkshire pigs of Korea.Animal bioscience · 2024Article
- Unveiling Genetic Potential for Equine Meat Production: A Bioinformatics Approach.Animals : an open access journal from MDPI · 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
- Weighted single-step genome-wide association study to reveal new candidate genes for productive traits of Landrace pig in Korea.Journal of animal science and technology · 2024Article
- A genome-wide association study on growth traits of Korean commercial pig breeds using Bayesian methods.Animal bioscience · 2024Article
- Mining key circRNA-associated-ceRNA networks for milk fat metabolism in cows with varying milk fat percentages.BMC genomics · 2024Article
- Genome-wide association study to reveal new candidate genes using single-step approaches for productive traits of Yorkshire pig in Korea.Animal bioscience · 2024Article
- Preselecting Variants from Large-Scale Genome-Wide Association Study Meta-Analyses Increases the Genomic Prediction Accuracy of Growth and Carcass Traits in Large White Pigs.Animals : an open access journal from MDPI · 2023Article
- Identification of Candidate Genes for Economically Important Carcass Cutting in Commercial Pigs through GWAS.Animals : an open access journal from MDPI · 2023Article
- Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences.Nature communications · 2023Article
- Identification of the genetic basis of the duck growth rate in multiple growth stages using genome-wide association analysis.BMC genomics · 2023Article
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Growth traits are important economic traits of pigs that are controlled by several major genes and multiple minor genes. To better understand the genetic architecture of growth traits, we performed a weighted single-step genome-wide association study (wssGWAS) to identify genomic regions and candidate genes that are associated with days to 100 kg (AGE), average daily gain (ADG), backfat thickness (BF) and lean meat percentage (LMP) in a Duroc pig population. In this study, 3945 individuals with phenotypic and genealogical information, of which 2084 pigs were genotyped with a 50 K single-nucleotide polymorphism (SNP) array, were used for association analyses. We found that the most significant regions explained 2.56-3.07% of genetic variance for four traits, and the detected significant regions (>1%) explained 17.07%, 18.59%, 23.87% and 21.94% for four traits. Finally, 21 genes that have been reported to be associated with metabolism, bone growth, and fat deposition were treated as candidate genes for growth traits in pigs. Moreover, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses implied that the identified genes took part in bone formation, the immune system, and digestion. In conclusion, such full use of phenotypic, genotypic, and genealogical information will accelerate the genetic improvement of growth traits in pigs.
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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 OpenQuestion graph.