Mark P. Purdue

The paper identifies key transcription factors and their target proteins in renal cell carcinoma using multi-omic integration of ChIP-seq and GWAS data.

This study identifies 40 circulating proteins associated with cancer risk using MR and colocalization, highlighting potential therapeutic targets and adverse effects of protein-altering interventions.

This paper develops a normalization and quality control approach for NanoString RNA data, showing improved handling of technical variation without loss of biological variation.

This study assesses polygenicity and risk prediction using common variants across 14 cancers, finding varying numbers of susceptibility variants and risk score effectiveness.