Stephanie L. Schmit

The paper introduces pathway-based polygenic risk scores (pPRS) to detect gene-environment interactions, finding a significant interaction between NSAIDs and the TGF-β/GRHR pathway in colorectal cancer.

This study analyzes somatic mutational features in colorectal tumors from ancestrally diverse populations, finding ethnic and genetic ancestry associations with mutation patterns.

This study improves polygenic risk scores for colorectal cancer by combining Asian and European ancestry data, enhancing risk prediction across diverse racial and ethnic groups.

This study identifies 13 new genetic loci specific to proximal or distal colorectal cancer subtypes, revealing partly distinct genetic architectures for these tumor locations.

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

This study uses Mendelian randomization to show that higher physical activity levels are associated with lower risks of breast and colorectal cancer.

This study quantifies genetic correlations between six solid cancers and other diseases using GWAS data, finding shared heritability and functional enrichment in regulatory regions.