Claire Prowse-Wilkins

The paper constructs a bovine epigenomic atlas to annotate regulatory elements and decode the regulatory syntax of the cattle genome, aiding in fine-mapping GWAS loci for complex traits.

The paper uses Bayesian models to analyze cattle traits by incorporating functionally significant variants, showing improved genomic prediction accuracy when combining these variants with HD SNPs.

The paper identifies sequence variants with regulatory and evolutionary significance in cattle and ranks them using a Functional-And-Evolutionary Trait Heritability score to improve genomic prediction.

This study identifies microRNA expression and target sites in 17 bovine tissues, revealing tissue-specific regulation and genomic features of microRNA-target interactions.

The paper identifies bovine sQTLs associated with RNA splicing variation and shows they are shared across tissues and linked to complex traits.