Timothy Richard Rebbeck

The paper identifies a common BRCA1 founder variant in Rwandan breast cancer patients and estimates its origin to be around 4,000-10,000 years ago.

This study identifies genetic associations and evolutionary factors underlying androgenetic alopecia in African men, showing poor generalization of European genetic predictions and continental differences in allele frequencies.

This study analyzes genomic alterations in metastatic prostate cancer patients across racial groups, finding race-associated differences in mutation frequencies and survival outcomes.

This study identifies 447 new genetic variants associated with prostate-specific antigen levels across multiple ancestries and shows improved cross-ancestry prediction of PSA, with implications for personalized prostate cancer screening.

E2EGraph predicts prostate cancer pathological stages using gene expression data and graph neural networks, achieving state-of-the-art performance with interpretable marker gene identification.

The paper extends Mendelian risk prediction models to incorporate variant-specific penetrances, improving cancer risk predictions for BRCA1/2 pathogenic variants.

STI is a transformer-based model for genome-scale genotype imputation that achieves high accuracy and handles multi-allelic variants effectively.

The paper develops a genotyping array tailored for African populations to identify cancer risk variants, finding population-specific allele frequency differences and lower prostate cancer risk in Senegal compared to Nigeria.