William Wheeler

iCARE is an R package for building, validating, and applying absolute risk models using user-defined inputs and SNP data, demonstrated with breast cancer.

The paper introduces a mixed-model approach to test genetic associations with cancer risk, incorporating tumor characteristics, and shows it outperforms existing methods in identifying heterogeneous associations.

This paper introduces sARTP, a pathway-based meta-analysis method using summary statistics, identifying 43 T2D-associated pathways in European populations and 7 trans-ethnic pathways in Asian populations.

This paper improves polygenic risk scores by applying winners curse correction and variable thresholds to GWAS summary data, enhancing prediction accuracy for some diseases.