SynthesisGenetics, selection, evolution : GSE2024
Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance.
Synthesis in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Global spatiotemporal patterns of bovine mastitis pathogens from 2000 to 2025: a meta-analysis for precision dairy health.Journal of animal science and biotechnology · 2026Article
- Resolving Cattle GWAS Loci: Current Progress, Persistent Challenges and Future Directions.Current issues in molecular biology · 2026Review
- Genomic dissection of hoof and leg conformation in Swiss dairy cattle populations reveals polygenic architecture and a recessive HYAL1 nonsense variant affecting longevity in Holstein cattle.Genetics, selection, evolution : GSE · 2026Article
- The NLRP3 Inflammasome as a Central Driver of Mastitis Pathogenesis: A Review.Veterinary sciences · 2026Review
- Insights from adaptive immune regulation for disease resistance breeding in livestock and poultry.Science China. Life sciences · 2026Review
- Across-breed analyses of genome-wide association studies for stature and mammary gland morphology in cattle reveal pleiotropic effects of the Friesian POLLED haplotype.Genetics, selection, evolution : GSE · 2026Article
- Integrative analysis of GWAS, Bayesian fine-mapping, Mendelian randomization and colocalization reveals genetic determinants underlying milk-related traits in dairy cattle.Genetics, selection, evolution : GSE · 2026Article
- Sequence-based chromatin activity modeling and regulatory impact prediction of genetic variants in farmed animals using deep learning.NAR genomics and bioinformatics · 2025Article
- Genetic resistance to vector-borne hemoprotozoa in livestock: molecular markers, host-parasite interactions, and implications for breeding and control.Journal of veterinary science · 2025Review
- Comprehensive Prevention and Control of Mastitis in Dairy Cows: From Etiology to Prevention.Veterinary sciences · 2025Review
- Integrating Genomic Selection and Genome-Wide Association Study to Enhance Reproductive Traits in Thai Swamp Buffalo.Animals : an open access journal from MDPI · 2025Article
- Genome-wide association analysis revealed novel candidate genes for body measurement traits in indigenous Gudali and crossbred Simgud in Cameroon.BMC genomics · 2025Article
- Pleiotropic Genes Affecting Milk Production, Fertility, and Health in Thai-Holstein Crossbred Dairy Cattle: A GWAS Approach.Animals : an open access journal from MDPI · 2025Article
- Ferroptosis-Related Genes as Molecular Markers in Bovine Mammary Epithelial Cells Challenged withInternational journal of molecular sciences · 2025Article
- Integration of Multiomics Data Reveals Selection Characteristics ofInternational journal of molecular sciences · 2025Article
- Empirical versus estimated accuracy of imputation: optimising filtering thresholds for sequence imputation.Genetics, selection, evolution : GSE · 2024Article
- Genome-Wide Association Study for Milk Somatic Cell Score in Holstein Friesian Cows in Slovenia.Animals : an open access journal from MDPI · 2024Article
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
backgroundMastitis is a disease that incurs significant costs in the dairy industry. A promising approach to mitigate its negative effects is to genetically improve the resistance of dairy cattle to mastitis. A meta-analysis of genome-wide association studies (GWAS) across multiple breeds for clinical mastitis (CM) and its indicator trait, somatic cell score (SCS), is a powerful method to identify functional genetic variants that impact mastitis resistance.
resultsWe conducted meta-analyses of eight and fourteen GWAS on CM and SCS, respectively, using 30,689 and 119,438 animals from six dairy cattle breeds. Methods for the meta-analyses were selected to properly account for the multi-breed structure of the GWAS data. Our study revealed 58 lead markers that were associated with mastitis incidence, including 16 loci that did not overlap with previously identified quantitative trait loci (QTL), as curated at the Animal QTLdb. Post-GWAS analysis techniques such as gene-based analysis and genomic feature enrichment analysis enabled prioritization of 31 candidate genes and 14 credible candidate causal variants that affect mastitis.
conclusionsOur list of candidate genes can help to elucidate the genetic architecture underlying mastitis resistance and provide better tools for the prevention or treatment of mastitis, ultimately contributing to more sustainable animal production.
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