Tuning Parameters for Polygenic Risk Score Methods Using GWAS Summary Statistics from Training Data
Jiang W, Chen L, Girgenti M, Zhao H. Tuning Parameters for Polygenic Risk Score Methods Using GWAS Summary Statistics from Training Data. 2023 DOI: 10.21203/rs.3.rs-2939390/v1.Peer-Reviewed Original ResearchTraining dataPolygenic risk score (PRS) methodsSecurity-related concernsHyperparameter tuningBetter prediction performanceData applicationsOTTERS: a powerful TWAS framework leveraging summary-level reference data
Dai Q, Zhou G, Zhao H, Võsa U, Franke L, Battle A, Teumer A, Lehtimäki T, Raitakari O, Esko T, Epstein M, Yang J. OTTERS: a powerful TWAS framework leveraging summary-level reference data. Nature Communications 2023, 14: 1271. PMID: 36882394, PMCID: PMC9992663, DOI: 10.1038/s41467-023-36862-w.Peer-Reviewed Original ResearchConceptsReference sample sizePolygenic risk score (PRS) methodsTWAS toolsTWAS methodsEQTL weightsBroader settingReference data
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply