Current polygenic risk scores for prostate cancer do not leverage biological mechanisms and remain inadequate for patients with African ancestry. Here, the authors employ a deep learning model to identify 2,407 non-coding polymorphisms with greater frequency in African American individuals that may affect enhancer activity in prostate cancer-related pathways, leading to more accurate polygenic risk scores.
- Shan Li
- Kaniz Fatema
- Sridhar Hannenhalli
