{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004865011,0.000363752,0.0003694871,0.0008495665,0.0004121352,0.0007888941,0.0003052677,0.0004449734,0.001498135],"category_scores_gemma":[0.01440567,0.0001809309,0.0006268453,0.0008576931,0.0008956621,0.0003454712,0.0006363892,0.0006930804,0.0001577141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921855,"about_ca_system_score_gemma":0.000269738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002443861,"about_ca_topic_score_gemma":0.001955902,"domain_scores_codex":[0.9965037,0.00200601,0.0001877436,0.0007708762,0.0003078552,0.0002238571],"domain_scores_gemma":[0.9831745,0.01276881,0.00159481,0.001691012,0.0004179517,0.0003529287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001817738,0.00002135532,0.9883721,0.000007846614,0.0005205546,0.0001782889,0.0002183438,0.001886803,0.002201001,0.000336036,0.00008118194,0.005994702],"study_design_scores_gemma":[0.000008035018,0.00007101725,0.990822,0.000004869921,0.0001147553,0.0002729268,0.00005654951,0.007203589,0.0003621913,0.0009525837,0.0001192346,0.00001224296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968599,0.0001034918,0.002638023,0.00005771418,0.000003149553,0.000003906606,0.00009533588,0.00001359184,0.0002247988],"genre_scores_gemma":[0.9995688,0.00001786641,0.0002985034,0.000005683072,0.000003648519,0.000002164441,0.00006306689,0.000003036941,0.00003725293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004865011,"threshold_uncertainty_score":0.02572894,"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."}}