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Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning

Remo Monti, Lisa Eick, Georgi Hudjashov, Kristi Läll, Stavroula Kanoni, Brooke N. Wolford, Benjamin Wingfield, Oliver Pain, Sophie Wharrie, Bradley Jermy, Aoife McMahon, Tuomo Hartonen, Henrike Heyne, Nina Mars, Samuel A. Lambert, Kristian Hveem, Michael Inouye, David A. van Heel, Reedik Mägi, Pekka Marttinen, Samuli Ripatti, Andrea Ganna, Christoph Lippert

2024The American Journal of Human Genetics43 citationsDOIOpen Access PDF

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BiobankVariation (astronomy)Computer scienceArtificial intelligenceBiologyBioinformaticsPhysicsAstrophysicsGenetic Associations and EpidemiologyBiomedical Text Mining and OntologiesMachine Learning in Healthcare
Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning | Litcius