ArticleBMC genomics2020
Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: II: carcass merit traits.
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- Sequence-based GWAS meta-analyses for beef production traits.Genetics, selection, evolution : GSE · 2023Pooled it
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- Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
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- Disentangling mature cow weight and body condition score: a comparative single-step GWAS of phenotypic pre-adjustment vs. recursive modeling.Journal of animal science · 2026Article
- Signature of Selection Analysis Reveals Candidate Genes Related to Climate Adaptation and Production Traits in Lao Native Goats.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Genome-Wide Association Studies of Growth and Carcass Traits in Charolais Cattle Based on High-Coverage Whole-Genome Resequencing.International journal of molecular sciences · 2025Article
- Decoding the beef cattle genome through whole-genome sequencing reveals the genetic basis of carcass and meat quality traits.Scientific reports · 2025Article
- Effect of using preselected markers from imputed whole-genome sequence for genomic prediction in Angus cattle.Genetics, selection, evolution : GSE · 2025Article
- Genome-wide association studies and genetic architecture of carcass traits in Angus beef cattle using imputed whole-genome sequences data.Genetics, selection, evolution : GSE · 2025Article
- Genomic variance partitioning of carcass and meat quality traits in Angus beef cattle.Frontiers in veterinary science · 2025Article
- Genome-Wide Scans for Selection Signatures in Ningxia Angus Cattle Reveal Genetic Variants Associated with Economic and Adaptive Traits.Animals : an open access journal from MDPI · 2024Article
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- Exploring genomic inbreeding and selection signatures in a commercial Brangus herd through functional annotation.Journal of applied genetics · 2024Article
- Whole-genome resequencing of major populations revealed domestication-related genes in yaks.BMC genomics · 2024Article
- Genetic Association Analysis of Copy Number Variations for Meat Quality in Beef Cattle.Foods (Basel, Switzerland) · 2023Article
- Rs15285, a functional polymorphism located in lipoprotein lipase, predicts the risk and prognosis of gastric cancer.Applied microbiology and biotechnology · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundGenome wide association studies (GWAS) were conducted on 7,853,211 imputed whole genome sequence variants in a population of 3354 to 3984 animals from multiple beef cattle breeds for five carcass merit traits including hot carcass weight (HCW), average backfat thickness (AFAT), rib eye area (REA), lean meat yield (LMY) and carcass marbling score (CMAR). Based on the GWAS results, genetic architectures of the carcass merit traits in beef cattle were elucidated.
resultsThe distributions of DNA variant allele substitution effects approximated a bell-shaped distribution for all the traits while the distribution of additive genetic variances explained by single DNA variants conformed to a scaled inverse chi-squared distribution to a greater extent. At a threshold of P-value < 10
conclusionsThe GWAS results have shown that the carcass merit traits are controlled by a few DNA variants with large effects and many DNA variants with small effects. Nucleotide polymorphisms in regulatory, synonymous, and missense functional classes have relatively larger impacts per sequence variant on the variation of carcass merit traits. The genetic architecture as revealed by the GWAS will improve our understanding on genetic controls of carcass merit traits in beef cattle.
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