SynthesisGenetics, selection, evolution : GSE2020
Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds.
Synthesis in Genetics, selection, evolution : GSE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 5 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
38 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Genome-wide association analysis using multiple Atlantic salmon populations.Genetics, selection, evolution : GSE · 2025Pooled it
- Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance.Genetics, selection, evolution : GSE · 2024Pooled it
- Genome-Wide Association Study Meta-Analysis Elucidates Genetic Structure and Identifies Candidate Genes of Teat Number Traits in Pigs.International journal of molecular sciences · 2023Pooled it
- Sequence-based GWAS meta-analyses for beef production traits.Genetics, selection, evolution : GSE · 2023Pooled it
- X-linked genes influence various complex traits in dairy cattle.BMC genomics · 2023Pooled it
- Resolving Cattle GWAS Loci: Current Progress, Persistent Challenges and Future Directions.Current issues in molecular biology · 2026Review
- Haplotype-Resolved Genome Assemblies for Norwegian Red Cattle.Animal genetics · 2026Article
- Minor Allele Frequency Filtering Can Strongly Bias Uniqueness Estimates Within and Across Species.Ecology and evolution · 2026Article
- Using single-step genome-wide association analyses to compare predicted negative energy balance and a novel energy deficiency score in early-lactation Holstein cows.JDS communications · 2025Article
- Genome-Wide Association Study for Milk Protein Content in Romanian Dual-Purpose Cattle.Life (Basel, Switzerland) · 2025Article
- CRISPR/Cas9-MediatedAnimals : an open access journal from MDPI · 2025Article
- Assessing the Impact of Different Mixing Strategies on Genomic Prediction Accuracy for Beef Cattle Breeding Values in Multi-Breed Genomic Prediction.Animals : an open access journal from MDPI · 2025Article
- Candidate Genes, Markers, Signatures of Selection, and Quantitative Trait Loci (QTLs) and Their Association with Economic Traits in Livestock: Genomic Insights and Selection.International journal of molecular sciences · 2025Review
- Multitrait genome-wide association best linear unbiased prediction of genetic values.Genetics, selection, evolution : GSE · 2025Article
- Sequence-based GWAS in 180,000 German Holstein cattle reveals new candidate variants for milk production traits.Genetics, selection, evolution : GSE · 2025Article
- Genome-wide association studies of milk composition traits in indicine Badri cattle using ddRAD sequencing approach.Tropical animal health and production · 2024Article
- Empirical versus estimated accuracy of imputation: optimising filtering thresholds for sequence imputation.Genetics, selection, evolution : GSE · 2024Article
- Comparative lipidome study of maternal plasma, milk, and lamb plasma in sheep.Scientific reports · 2024Article
- A common regulatory haplotype doubles lactoferrin concentration in milk.Genetics, selection, evolution : GSE · 2024Article
- Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSequence-based genome-wide association studies (GWAS) provide high statistical power to identify candidate causal mutations when a large number of individuals with both sequence variant genotypes and phenotypes is available. A meta-analysis combines summary statistics from multiple GWAS and increases the power to detect trait-associated variants without requiring access to data at the individual level of the GWAS mapping cohorts. Because linkage disequilibrium between adjacent markers is conserved only over short distances across breeds, a multi-breed meta-analysis can improve mapping precision.
resultsTo maximise the power to identify quantitative trait loci (QTL), we combined the results of nine within-population GWAS that used imputed sequence variant genotypes of 94,321 cattle from eight breeds, to perform a large-scale meta-analysis for fat and protein percentage in cattle. The meta-analysis detected (p ≤ 10
conclusionsOur study identified a large number of QTL associated with fat and protein percentage in dairy cattle. We demonstrated that large-scale multi-breed meta-analysis reveals more QTL at the nucleotide resolution than within-population GWAS. Significant variants were more often located in genic regions than non-significant variants and a large part of them was located in potentially regulatory regions.
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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 Socratic graph.