Synopsis of recent research by authors named "Rana Aldisi"
- Rana Aldisi's recent research focuses on leveraging polygenic risk scores (PRS) and rare genetic variants to improve the prediction and understanding of complex traits and diseases, such as low-density lipoprotein (LDL) cholesterol levels and male-pattern hair loss, by utilizing large-scale biobank datasets like the UK Biobank and Taiwan Biobank.
- Key findings indicate that ancestry-specific and multi-ancestry PRS can enhance cholesterol level predictions in diverse populations, while rare variants show a significant association with conditions like male-pattern hair loss, emphasizing the need for integrative approaches in genetic research.
- Additionally, Aldisi has contributed tools like GenRisk for comprehensive genetic risk modeling, which encompass both common and rare variants, thereby fostering insights into the genetic architecture of various health conditions, including colorectal and breast cancers.
