5 citations
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November 2022 in “Genetics selection evolution” This study found that low-coverage whole-genome sequencing followed by imputation effectively identifies genetic variants associated with wool traits in Angora rabbits, offering a cost-efficient method for genetic research and breeding.
5 citations
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November 2020 in “Forensic Science International Genetics” This study found that using trait prevalence-informed priors may improve the prediction accuracy of appearance traits in Bayesian models, but their application is limited by sparse knowledge on trait prevalence.
This study identified the FGF5:c.578C>T variant as linked to long hair in Akitas in Japan and suggests that genetic testing could help improve their breeding practices and welfare.
April 2025 in “Frontiers in Genetics” This study found that integrating breed-specific BOA and SNP-based models helps reveal the genetic factors involved in thermotolerance traits in beef cattle, enhancing insights into thermoregulation and potentially improving cattle's heat resilience.
1 citations
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March 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” This study examined wool traits in Angora rabbits using low-coverage whole genome sequencing, identifying six QTLs and a gene, FGF10, linked to fiber growth and diameter, suggesting a cost-effective approach for complex trait analysis in genomic breeding.