Harry Green

The paper combines genetic risk scores with PSA test results and age to improve prostate cancer prediction, showing better performance than using either method alone.

This study identifies DNA methylation differences between microsatellite stable and microsatellite instable colorectal cancers, revealing MLH1-independent markers of mismatch repair deficiency and the impact of anatomical location.

This study evaluates control selection strategies in prostate cancer GWAS using UK Biobank data, finding that matched controls balance power and cost but may miss novel associations.

This study identifies independent associations between IPF risk and rare variants, the MUC5B SNP, and polygenic scores, showing that telomere-associated common variants improve disease prediction and explain genetic heterogeneity in IPF.

This paper develops a polygenic risk score model to predict colorectal cancer risk in symptomatic patients using UK Biobank data, achieving high predictive accuracy.

The paper examines how family history affects cancer penetrance in individuals with pathogenic variants, finding higher risks with family history for BRCA1/2 and Lynch syndrome.

The paper applies joint longitudinal-survival models to adjust for censoring bias in HbA1c trajectory analysis in type 2 diabetes patients, finding a higher gradient with the joint model compared to linear mixed effects models.