Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models
Theodore J. Morley, Drew Wilimitis, Michael A. Ripperger, Hyunjoon Lee, Yu Zhou, Lide Han, Jooeun Kang, William U. Meyerson, Jordan W. Smoller, Karmel W. Choi, Colin G. Walsh, Douglas M. Ruderfer
This study evaluates how different modeling choices affect the performance of clinical risk prediction models integrating genetic and clinical data, finding that PRS inclusion benefits vary by integration method and data type.
Genetics in Medicine · Dec 26, 2024Peer-reviewedGenetic & Genomic Medicine