ReviewAnimals : an open access journal from MDPI2024
Application of GWAS and mGWAS in Livestock and Poultry Breeding.
Review in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Generative artificial intelligence in animal genomics for smart agriculture: Applications, challenges, and future prospects.Veterinary and animal science · 2026Review
- Integrative Multi-Omics Analysis Reveals the Genetic Architecture Landscape of the Blood Metabolome in Jersey Cattle.Animals : an open access journal from MDPI · 2026Article
- Metabolite-based genome-wide association analysis reveals genetic loci and candidate genes affecting breast muscle metabolites in Sansui ducks.Poultry science · 2026Article
- Causal variants in animal genomes: approaches to identification, phenotypic impact, and implications for selective breeding.BMC genomics · 2026Review
- Potential Applications of Genome-Wide Association Studies in Establishing Climate Resilience in Livestock: A Comprehensive Review.International journal of molecular sciences · 2026Review
- Screening Candidate Genes for Body Size Traits in Dongfeng Sika Deer Bucks Based on Genome-Wide Association Analysis.Biology · 2026Article
- Population structure and genome-wide association study of body conformation traits of two native goat breeds in China.Animal bioscience · 2026Article
- Genome-Wide Egg Hunt: Unhiding Candidate Genes for Egg Component Traits in Layers of an FAnimals : an open access journal from MDPI · 2025Article
- Review
- Genome-Wide Association Studies and Candidate Genes for Egg Production Traits in Layers from an FGenes · 2025Article
- Advances in Whole Genome Sequencing: Methods, Tools, and Applications in Population Genomics.International journal of molecular sciences · 2025Review
- Sustainable AGP alternatives: a systems approach to non-antibiotic growth regulators standardization, synergistic formulation and environmental safety.Frontiers in veterinary science · 2025Review
- Geneticsbiologiesingle cell and expression analysis for erectile dysfunction and cervical cancer targets.Discover oncology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
In recent years, genome-wide association studies (GWAS) and metabolome genome-wide association studies (mGWAS) have emerged as crucial methods for investigating complex traits in animals and plants. These have played pivotal roles in research on livestock and poultry breeding, facilitating a deeper understanding of genetic diversity, the relationship between genes, and genetic bases in livestock and poultry. This article provides a review of the applications of GWAS and mGWAS in animal genetic breeding, aiming to offer reference and inspiration for relevant researchers, promote innovation in animal genetic improvement and breeding methods, and contribute to the sustainable development of animal husbandry.
Indexed as
Identifiers
What OpenQuestion holds
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.