Sini Kerminen

Aug 15, 2024 | digitalcommons.library.tmc.edu | Ying Wang |Shinichi Namba |Esteban Lopera |Sini Kerminen

Polygenic risk scores (PRSs) have been widely explored in precision medicine. However, few studies have thoroughly investigated their best practices in global populations across different diseases. We here utilized data from Global Biobank Meta-analysis Initiative (GBMI) to explore methodological considerations and PRS performance in 9 different biobanks for 14 disease endpoints. Specifically, we constructed PRSs using pruning and thresholding (P + T) and PRS-continuous shrinkage (CS).