{"id":"W3176096496","doi":"10.1101/2021.06.18.449060","title":"Stability of Polygenic Scores Across Discovery Genome-Wide Association Studies","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Genome-wide association study; Percentile; Trait; Population; Cohort; Genetic association; Explained variation; Medicine; Biology; Genetics; Demography; Single-nucleotide polymorphism; Statistics; Internal medicine; Genotype; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02176223,0.0004739968,0.0009134023,0.003878081,0.0009898267,0.002538049,0.000990105,0.0007776564,0.002007513],"category_scores_gemma":[0.06030226,0.0003769713,0.001594053,0.005315522,0.001381546,0.001327913,0.001936039,0.001432128,0.000320953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004664526,"about_ca_system_score_gemma":0.0004574066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002293484,"about_ca_topic_score_gemma":0.001821271,"domain_scores_codex":[0.982079,0.008487499,0.001700925,0.005316473,0.001693071,0.0007230461],"domain_scores_gemma":[0.8950636,0.07037666,0.01285284,0.01558693,0.004514792,0.001605087],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005872049,0.0000226645,0.9728358,0.00009253887,0.004979888,0.0002501857,0.0002999455,0.002406767,0.003322944,0.001007459,0.0005704715,0.01362428],"study_design_scores_gemma":[0.00003195472,0.0001521068,0.9857085,0.00003733977,0.000905573,0.0005045736,0.0001892794,0.006751139,0.0009449123,0.003666794,0.001068696,0.00003910771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707165,0.002749534,0.02239566,0.0003756834,0.0000941944,0.00003519499,0.001931121,0.0002375031,0.001464508],"genre_scores_gemma":[0.9963481,0.0001175496,0.002044775,0.00008705032,0.00004376948,0.00001878854,0.001177521,0.00003835172,0.0001239746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9782377,"threshold_uncertainty_score":0.1150911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022602364928136,"score_gpt":0.2656591832756222,"score_spread":0.2454331596263408,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}