{"id":"W4295681798","doi":"10.1001/jamapsychiatry.2022.2742","title":"Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression Among Adults in the US Veterans Affairs Health Care System","year":2022,"lang":"en","type":"article","venue":"JAMA Psychiatry","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; Universiteit Leiden; National Alliance for Research on Schizophrenia and Depression; National Institute of Mental Health; Office of Research and Development; U.S. Department of Veterans Affairs","keywords":"Veterans Affairs; Bipolar disorder; Polygenic risk score; Depression (economics); Schizophrenia (object-oriented programming); Psychiatry; Pleiotropy; Penetrance; Psychology; Clinical psychology; Medicine; Mood; Genetics; Internal medicine; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003801392,0.0001157187,0.0001960743,0.00004075607,0.0002881946,0.00001022588,0.0001551267,0.00009331629,0.000001168256],"category_scores_gemma":[0.00005719585,0.00009456537,0.00006700864,0.00008441684,0.00005544081,0.000003236944,0.00007432809,0.0001466489,6.921852e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001553238,"about_ca_system_score_gemma":0.00007991734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375825,"about_ca_topic_score_gemma":0.00392131,"domain_scores_codex":[0.998761,0.0003504757,0.0002834353,0.0003098449,0.00008602156,0.000209239],"domain_scores_gemma":[0.9994084,0.00004166971,0.0002330752,0.0002412589,0.00003449948,0.0000410821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003945068,0.0000386822,0.9914173,0.000169649,0.00002487805,1.323739e-7,0.0006466778,0.000243821,0.0001701137,0.00004473388,0.000456609,0.006392865],"study_design_scores_gemma":[0.002465434,0.0005630991,0.9842128,0.00004325258,0.00002000586,0.000008778734,0.01109535,0.0005454618,0.0000208477,0.00003375733,0.0008812238,0.000110028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298357,0.06841442,0.0003399924,0.0004218044,0.0002226395,0.0004464699,0.0003016218,0.000004666695,0.000012645],"genre_scores_gemma":[0.9962594,0.001302608,0.001906208,0.0001586367,0.0001200181,0.0001273468,0.0001078618,0.00001420862,0.000003703916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06711181,"threshold_uncertainty_score":0.3856264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003576328847590288,"score_gpt":0.2309865255373519,"score_spread":0.2274101966897616,"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."}}