Junjian Wang

This study shows that common GWAS methods can produce misleading associations in livestock with polygenic architecture, highlighting the need for methods that control long-range LD spillover.

This paper introduces Bayesian fine-mapping methods adapted for related individuals, showing improved accuracy in pig data compared to existing tools.

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 constructs a cattle cell-type-specific regulatory variant atlas by integrating bulk and single-cell RNA-seq data, identifying eQTL and linking them to GWAS loci for breeding insights.