Rebecca E. Graff

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.

This study develops a polygenic score to adjust PSA levels, improving the detection of aggressive prostate cancer while reducing unnecessary biopsies.

This study identifies 22 genetic variant-phenotype associations linked to multiple primary cancers using whole-exome sequencing in two large multi-ancestry cohorts.

This study evaluates polygenic risk scores across 17 cancer types in two large cohorts, identifying cross-cancer associations and non-cancer phenotype links.

This study identifies six novel genetic loci, including two rare variants, and shows that a polygenic risk score strongly predicts prostate cancer risk.

This study integrates polygenic risk scores with modifiable risk factors and family history to improve cancer risk prediction across 16 cancers using UK Biobank data.

The paper conducts pan-cancer GWAS in two cohorts, identifying novel risk variants and shared genetic basis across 18 cancer types.

The paper identifies genetic links between impaired pulmonary function and increased lung cancer risk, showing causal relationships through Mendelian randomization and highlighting immune-related pathways.