Marc James Gunter

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.

The paper introduces a pipeline to normalize and pool metabolomics data across studies, improving comparability and reducing inter-study variability.

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

The paper uses a multi-layered approach combining GWAS, spatial autocorrelation, and Hi-C to identify novel genetic variants associated with pancreatic cancer susceptibility.

This study identifies early metabolic features associated with genetic liability to type 2 diabetes across childhood, adolescence, and young adulthood using longitudinal metabolomics data.

This study examines the association between IGF-1 and breast cancer risk using observational and Mendelian randomization analyses, finding a positive association and suggesting a causal relationship.

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