SynthesisGenetics, selection, evolution : GSE2023
Sequence-based GWAS meta-analyses for beef production traits.
Synthesis in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.
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
23 citing papers in PubMed, 36 citations in OpenAlex.
- Identification of Growth-Related Key Genes Based on Nonlinear Fitting of Weight Growth Curves in Min Pigs.Animals : an open access journal from MDPI · 2026Article
- Systematic Approach for Compound Angus Populations Revealing Positional Candidate Genes and Improving Prediction Accuracy in Carcass Traits.Animals : an open access journal from MDPI · 2026Article
- 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
- Impact of Mutations in theInternational journal of molecular sciences · 2026Article
- Identification ofFrontiers in veterinary science · 2026Article
- Decoding the beef cattle genome through whole-genome sequencing reveals the genetic basis of carcass and meat quality traits.Scientific reports · 2025Article
- Comprehensive Multi-omics Analysis of Regulatory Variants for Body Weight in Cattle.Genomics, proteomics & bioinformatics · 2025Article
- Transforming beef quality through healthy breeding: a strategy to reduce carcinogenic compounds and enhance human health: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Review
- LCORL and STC2 Variants Increase Body Size and Growth Rate in Cattle and Other Animals.Genomics, proteomics & bioinformatics · 2025Article
- Genomic Analysis of Indel and SV Reveals Functional and Adaptive Signatures in Hubei Indigenous Cattle Breeds.Animals : an open access journal from MDPI · 2025Article
- Characterizing differences in the muscle transcriptome between cattle with alternative LCORL-NCAPG haplotypes.BMC genomics · 2025Article
- Functional impact of splicing variants in the elaboration of complex traits in cattle.Nature communications · 2025Article
- Genetic advancements and future directions in ruminant livestock breeding: from reference genomes to multiomics innovations.Science China. Life sciences · 2025Review
- Association between GH, PRL, LEP, and PIT-1 gene polymorphisms and growth traits in Indonesian Rambon indigenous cattle.Tropical animal health and production · 2025Article
- Sequence-based GWAS in 180,000 German Holstein cattle reveals new candidate variants for milk production traits.Genetics, selection, evolution : GSE · 2025Article
- Integrating multi-layered biological priors to improve genomic prediction accuracy in beef cattle.Biology direct · 2024Article
- The Evolution and Role of Molecular Tools in Measuring Diversity and Genomic Selection in Livestock Populations (Traditional and Up-to-Date Insights): A Comprehensive Exploration.Veterinary sciences · 2024Review
- Article
- Review
- Genome-wide association study identifies genomic regions associated with key reproductive traits in Korean Hanwoo cows.BMC genomics · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
16 authors at 7 institutions in 4 countries.
Funding
Abstract
backgroundCombining the results of within-population genome-wide association studies (GWAS) based on whole-genome sequences into a single meta-analysis (MA) is an accurate and powerful method for identifying variants associated with complex traits. As part of the H2020 BovReg project, we performed sequence-level MA for beef production traits. Five partners from France, Switzerland, Germany, and Canada contributed summary statistics from sequence-based GWAS conducted with 54,782 animals from 15 purebred or crossbred populations. We combined the summary statistics for four growth, nine morphology, and 15 carcass traits into 16 MA, using both fixed effects and z-score methods.
resultsThe fixed-effects method was generally more informative to provide indication on potentially causal variants, although we combined substantially different traits in each MA. In comparison with within-population GWAS, this approach highlighted (i) a larger number of quantitative trait loci (QTL), (ii) QTL more frequently located in genomic regions known for their effects on growth and meat/carcass traits, (iii) a smaller number of genomic variants within the QTL, and (iv) candidate variants that were more frequently located in genes. MA pinpointed variants in genes, including MSTN, LCORL, and PLAG1 that have been previously associated with morphology and carcass traits. We also identified dozens of other variants located in genes associated with growth and carcass traits, or with a function that may be related to meat production (e.g., HS6ST1, HERC2, WDR75, COL3A1, SLIT2, MED28, and ANKAR). Some of these variants overlapped with expression or splicing QTL reported in the cattle Genotype-Tissue Expression atlas (CattleGTEx) and could therefore regulate gene expression.
conclusionsBy identifying candidate genes and potential causal variants associated with beef production traits in cattle, MA demonstrates great potential for investigating the biological mechanisms underlying these traits. As a complement to within-population GWAS, this approach can provide deeper insights into the genetic architecture of complex traits in beef cattle.
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What Socratic 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 Socratic graph.