{"id":"W4387933922","doi":"10.1016/j.jcjd.2023.10.368","title":"THE CLINICAL UTILITY AND ANCESTRAL DIVERSITY OF POLYGENIC RISK SCORES IN CARDIOMETABOLIC DISEASE RISK PREDICTION","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Medicine; Disease; Population stratification; Single-nucleotide polymorphism; Trait; Genetic association; Population; Polygenic risk score; Demography; Internal medicine; Environmental health; Genetics; Genotype; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01511779,0.0009343048,0.0008748436,0.002566641,0.0009430926,0.002907365,0.001105854,0.001416817,0.002575266],"category_scores_gemma":[0.05247708,0.0005040906,0.0009213682,0.002519489,0.001845509,0.001732043,0.002044667,0.002198687,0.0003359266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004229858,"about_ca_system_score_gemma":0.0006539016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005000956,"about_ca_topic_score_gemma":0.00441394,"domain_scores_codex":[0.9886249,0.008678171,0.0004581122,0.001138053,0.0007457117,0.0003551297],"domain_scores_gemma":[0.9596574,0.03055272,0.002335312,0.004692405,0.001680689,0.001081504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004073256,0.00003921477,0.9831497,0.00001877358,0.0007673871,0.0002000067,0.0002848378,0.001687774,0.0005852503,0.001143053,0.0001603464,0.01155638],"study_design_scores_gemma":[0.0001014286,0.0004252695,0.9480201,0.00007767174,0.0007670501,0.001491863,0.0006805227,0.03266932,0.0004809422,0.01423159,0.000972987,0.00008119422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876776,0.001150395,0.007870453,0.0007262144,0.0000469045,0.00001658527,0.0004748444,0.00002282035,0.002014134],"genre_scores_gemma":[0.9976748,0.0001702865,0.001761196,0.00004759546,0.00004913094,0.000004703689,0.0001491384,0.00001105741,0.0001320762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01511779,"threshold_uncertainty_score":0.07995147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237556884708381,"score_gpt":0.2710598210325139,"score_spread":0.2486842521854301,"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."}}