ArticleFrontiers in genetics2018
Structural Equation Modeling and Whole-Genome Scans Uncover Chromosome Regions and Enriched Pathways for Carcass and Meat Quality in Beef.
Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Comparative Analysis of Recursive and Alternative Modelling Approaches Considering Body Condition Score for Genetic Evaluation of Mature Cow Weight.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Genomic prediction of beef quality using GWAS-prioritized markers.Translational animal science · 2026Article
- Decoding the beef cattle genome through whole-genome sequencing reveals the genetic basis of carcass and meat quality traits.Scientific reports · 2025Article
- The related SNPs and genes to body size using GWAS- latent variable modeling in dromedaries.BMC genomics · 2025Article
- The association ofArchives animal breeding · 2025Article
- Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle.Frontiers in genetics · 2022Article
- Article
- Genomic structural equation modelling provides a whole-system approach for the future crop breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs.Computational and structural biotechnology journal · 2021Article
- Genomic Approaches Reveal Pleiotropic Effects in Crossbred Beef Cattle.Frontiers in genetics · 2021Article
- Whole Genome Sequence Data Provides Novel Insights Into the Genetic Architecture of Meat Quality Traits in Beef.Frontiers in genetics · 2020Article
- RNA-seq analysis identifies cytoskeletal structural genes and pathways for meat quality in beef.PloS one · 2020Article
- Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies.Plant methods · 2019Article
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6 authors.
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Abstract
Structural equation models involving latent variables are useful tools for formulating hypothesized models defined by theoretical variables and causal links between these variables. The objectives of this study were: (1) to identify latent variables underlying carcass and meat quality traits and (2) to perform whole-genome scans for these latent variables in order to identify genomic regions and individual genes with both direct and indirect effects. A total of 726 steers from an Angus-Brahman multibreed population with records for 22 phenotypes were used. A total of 480 animals were genotyped with the GGP Bovine F-250. The single-step genomic best linear unbiased prediction method was used to estimate the amount of genetic variance explained for each latent variable by chromosome regions of 20 adjacent SNP-windows across the genome. Three types of genetic effects were considered: (1) direct effects on a single latent phenotype; (2) direct effects on two latent phenotypes simultaneously; and (3) indirect effects. The final structural model included carcass quality as an independent latent variable and meat quality as a dependent latent variable. Carcass quality was defined by quality grade, fat over the ribeye and marbling, while the meat quality was described by juiciness, tenderness and connective tissue, all of them measured through a taste panel. From 571 associated genomic regions (643 genes), each one explaining at least 0.05% of the additive variance, 159 regions (179 genes) were associated with carcass quality, 106 regions (114 genes) were associated with both carcass and meat quality, 242 regions (266 genes) were associated with meat quality, and 64 regions (84 genes) were associated with carcass quality, having an indirect effect on meat quality. Three biological mechanisms emerged from these findings: postmortem proteolysis of structural proteins and cellular compartmentalization, cellular proliferation and differentiation of adipocytes, and fat deposition.
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