{"id":"W4306643546","doi":"10.1093/genetics/iyac158","title":"Genetic determinants of polygenic prediction accuracy within a population","year":2022,"lang":"en","type":"article","venue":"Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Medical Research Council; Canadian Institutes of Health Research; Cancer Research UK","keywords":"Quantitative trait locus; Biology; Trait; Genetic architecture; Polygenic risk score; Genetics; Multifactorial Inheritance; Genome-wide association study; Correlation; Locus (genetics); Polygene; Population; Single-nucleotide polymorphism; Genotype; Gene; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002850602,0.0001209262,0.0001724651,0.00006406153,0.0001754949,0.00000519224,0.0002063739,0.00009732092,0.00005853045],"category_scores_gemma":[0.0001523882,0.0001356505,0.00009063989,0.0001356676,0.00003630422,0.000001514726,0.0002274056,0.00008735069,0.000003091162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003020273,"about_ca_system_score_gemma":0.00008100758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007714603,"about_ca_topic_score_gemma":0.0001215077,"domain_scores_codex":[0.9986496,0.000192135,0.0004784219,0.0002853863,0.0001744863,0.0002199679],"domain_scores_gemma":[0.999162,0.00002144052,0.0003301354,0.0003710691,0.00006156755,0.00005381305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002801291,0.00005826975,0.9360083,0.000009200585,0.00003239111,8.359568e-7,0.00008772326,0.01910361,0.03921951,0.000005682157,0.0008035867,0.004642858],"study_design_scores_gemma":[0.000361838,0.0005153485,0.9865671,0.000002329208,0.00003847244,0.00004099447,0.0001401159,0.004574137,0.005162048,0.0002909316,0.002162407,0.0001442195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977077,0.0007298118,0.000768258,0.00003275366,0.00035695,0.0002085533,0.0001156129,0.0000101534,0.00007026679],"genre_scores_gemma":[0.9941517,0.000115466,0.005030364,0.0001182204,0.0001445399,0.00005730143,0.0001708546,0.00002284653,0.0001887341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05055884,"threshold_uncertainty_score":0.5531667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433728147537325,"score_gpt":0.2715454150912872,"score_spread":0.257208133615914,"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."}}