Publications by authors named "Xueyuan Xie"
Integrating multi-layered biological priors to improve genomic prediction accuracy in beef cattle.
Biol Direct
December 2024
Background: Integrating multi-layered information can enhance the accuracy of genomic prediction for complex traits. However, the improvement and application of effective strategies for genomic prediction (GP) using multi-omics data remains challenging.
Methods: We generated 11 feature sets for sequencing variants from genomics, transcriptomics, metabolomics, and epigenetics data in beef cattle, then we assessed the contribution of functional variants using genomic restricted maximum likelihood (GREML).
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- * The researchers identified over 112,000 CNVs and conducted a genome-wide association study (GWAS) on six meat quality traits, finding 12 significant CNV segments linked to eight candidate genes.
- * One notable discovery was a 34 kb duplication associated with meat color, located within the keratin gene family, which can enhance breeding strategies for improving meat quality traits.