{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001709316,0.0002376525,0.0002020356,0.0007046457,0.0003749364,0.0004772832,0.0003185126,0.0002737963,0.001133997],"category_scores_gemma":[0.005200285,0.0002163847,0.0003709281,0.0008353175,0.0003180747,0.0002684642,0.0004906857,0.0003287619,0.00009145474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359587,"about_ca_system_score_gemma":0.0002738271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538649,"about_ca_topic_score_gemma":0.01642222,"domain_scores_codex":[0.9991393,0.0004625112,0.00006877475,0.0001673374,0.00008610965,0.00007600614],"domain_scores_gemma":[0.9980261,0.0007021316,0.0007892253,0.0002443801,0.0001065533,0.0001314889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002872049,0.000006689095,0.9989682,0.000001908369,0.00004086793,0.00002743774,0.00007017814,0.0000966388,0.00009627159,0.00002330239,0.00003324627,0.000606567],"study_design_scores_gemma":[0.000002746496,0.00002330116,0.9991859,0.000003080043,0.00001376865,0.0001070999,0.00008335414,0.0004736329,0.0000255398,0.00004133592,0.00003842155,0.000001769374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992868,0.00009693587,0.000123584,0.00004322957,0.000001509834,0.000003635672,0.0003198776,0.000004048663,0.0001202565],"genre_scores_gemma":[0.9996313,0.00003256544,0.00007238421,0.000006195658,0.000002335216,0.000002743398,0.0002238819,8.671016e-7,0.00002764942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538649,"threshold_uncertainty_score":0.03059387,"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."}}