Publications by authors named "Ana Maria Perez O'Brien"
Background: Genotype imputation from low-density (LD) to high-density single nucleotide polymorphism (SNP) chips is an important step before applying genomic selection, since denser chips tend to provide more reliable genomic predictions. Imputation methods rely partially on linkage disequilibrium between markers to infer unobserved genotypes. Bos indicus cattle (e.
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- - The study introduces a frequentist approach using the Stouffer Method to analyze genomic data for evidence of positive selection, aiming to address the weak correlations often found in different detection methodologies.
- - Applying this method to SNP data from dairy and beef cattle revealed significant population-specific positive selection signals, particularly around the CNIH3 gene linked to hormone regulation in Brown Swiss cattle.
- - Additionally, the research identifies various biological pathways involved in beef and dairy production that are under selection, suggesting the method can effectively survey genome-wide selective sweeps and improve understanding of genetic traits.