ArticleFrontiers in genetics2021
Genome-Wide Association Studies for Growth Curves in Meat Rabbits Through the Single-Step Nonlinear Mixed Model.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Genome-wide association analyses for growth, carcass composition, and meat quality traits of Iberian pigs fattened in free open air.Journal of animal science · 2026Article
- Modeling growth performance of heterogeneous rabbits in a pastured system using nonlinear, spline and random regression models.Veterinary and animal science · 2025Article
- Genetic Architecture of Hock Joint Bumps in Pigs: Insights from ROH and GWAS Analyses.Animals : an open access journal from MDPI · 2025Article
- Exploring Disparities in Gill Physiological Responses to NaHCOMetabolites · 2024Article
- Article
- Parameter Estimation of Host Genomic and Gut Microbiota Contribution to Growth and Feed Efficiency Traits in Meat Rabbits.Microorganisms · 2024Article
- Genome-Wide Association Studies of Growth Trait Heterosis in Crossbred Meat Rabbits.Animals : an open access journal from MDPI · 2024Article
- Long-read sequencing-based transcriptomic landscape in longissimus dorsi and transcriptome-wide association studies for growth traits of meat rabbits.Frontiers in veterinary science · 2024Article
- Weighted Single-Step Genomic Best Linear Unbiased Prediction Method Application for Assessing Pigs on Meat Productivity and Reproduction Traits.Animals : an open access journal from MDPI · 2022Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Growth is a complex trait with moderate to high heritability in livestock and must be described by the longitudinal data measured over multiple time points. Therefore, the used phenotype in genome-wide association studies (GWAS) of growth traits could be either the measures at the preselected time point or the fitted parameters of whole growth trajectory. A promising alternative approach was recently proposed that combined the fitting of growth curves and estimation of single-nucleotide polymorphism (SNP) effects into single-step nonlinear mixed model (NMM). In this study, we collected the body weights at 35, 42, 49, 56, 63, 70, and 84 days of age for 401 animals in a crossbred population of meat rabbits and compared five fitting models of growth curves (Logistic, Gompertz, Brody, Von Bertalanffy, and Richards). The logistic model was preferably selected and subjected to GWAS using the approach of single-step NMM, which was based on 87,704 genome-wide SNPs. A total of 45 significant SNPs distributed on five chromosomes were found to simultaneously affect the two growth parameters of mature weight (A) and maturity rate (K). However, no SNP was found to be independently associated with either A or K. Seven positional genes, including
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