• Genome-wide risk prediction of common diseases across ancestries in one million people 

      Mars, Nina; Kerminen, Sini; Feng, Yen-Chen A.; Kanai, Masahiro; Läll, Kristi; Thomas, Laurent Francois; Skogholt, Anne Heidi; della Briotta Parolo, Pietro; Neale, Benjamin M.; Smoller, Jordan W.; Gabrielsen, Maiken Elvestad; Hveem, Kristian; Mägi, Reedik; Matsuda, Koichi; Okada, Yukinori; Pirinen, Matti; Palotie, Aarno; Ganna, Andrea; Martin, Alicia R.; Ripatti, Samuli (Peer reviewed; Journal article, 2022)
      Polygenic risk scores (PRS) measure genetic disease susceptibility by combining risk effects across the genome. For coronary artery disease (CAD), type 2 diabetes (T2D), and breast and prostate cancer, we performed ...
    • Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts 

      Wang, Ying; Lopera, Esteban; Namba, Shinichi; Kerminen, Sini; Tsuo, Kristin; Läll, Kristi; Kanai, Masahiro; Zhou, Wei; Wu, Kuan-Han; Favé, Marie-Julie; Bhatta, Laxmi; Awadalla, Philip; Brumpton, Ben Michael; Deelen, Patrick; Hveem, Kristian; Faro, Valeria Lo; Mägi, Reedik; Murakami, Yoshinori; Sanna, Serena; Smoller, Jordan W.; Uzunovic, Jasmina; Wolford, Brooke N.; GBMI, .; Willer, Cristen; Gamazon, Eric R.; Cox, Nancy J.; Surakka, Ida; Okada, Yukinori; Martin, Alicia R.; Hirbo, Jibril B. (Peer reviewed; Journal article, 2023)
      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 ...