Jonathan Beesley

The paper introduces SAM-DNMT3A, a CRISPR-based method to induce global DNA methylation, and shows it exploits a vulnerability in ER-positive breast cancers.

The paper identifies 44 multi-cancer risk regions across four hormone-dependent cancers using GWAS and 3D chromatin mapping, annotating 53 candidate risk genes with potential therapeutic implications.

The paper uses pooled CRISPR screens to identify breast cancer risk genes affecting T cell-mediated killing, finding 33 candidates and showing their impact on immune response and patient outcomes.

This study identifies 32 new breast cancer susceptibility loci through GWAS, with associations varying by tumor subtype and genetic correlations among subtypes.

The paper maps chromatin interactions at 139 breast cancer risk signals using Capture Hi-C and identifies candidate target genes and functional mechanisms.

This study fine-maps 150 breast cancer risk regions to identify 178 high confidence target genes using genomic and functional annotations.

The paper identifies 14 genes, including NTN4, associated with breast cancer risk variants through allelic expression imbalance analysis.

This paper identifies novel pleiotropic risk loci for melanoma and nevus density, implicating multiple biological pathways and gene expression under MITF regulation.