{"id":"W2890909957","doi":"10.1101/421164","title":"Penetrance and pleiotropy of polygenic risk scores for schizophrenia in 106,160 patients across four healthcare systems","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Human Genome Research Institute; National Institute of Mental Health; National Institute on Aging; Georgia Clinical and Translational Science Alliance; Andrea and Charles Bronfman Philanthropies; Canadian Institutes of Health Research; Regeneron Pharmaceuticals; Vanderbilt University Medical Center; National Institutes of Health; Vanderbilt-Ingram Cancer Center; Vanderbilt University","keywords":"Schizophrenia (object-oriented programming); Medicine; Odds ratio; Neuroticism; Psychiatry; Pleiotropy; Anxiety; Clinical psychology; Personality; Psychology; Internal medicine; Biology; Genetics; Phenotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008198338,0.0003873454,0.0006580121,0.00008463798,0.0001435184,0.00004339661,0.0003625145,0.000813537,0.000001650617],"category_scores_gemma":[0.0008051955,0.0004121184,0.000140926,0.0001484148,0.0001716441,0.000005314683,0.0003741458,0.0002931992,0.000002232739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007872609,"about_ca_system_score_gemma":0.0003377428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005237293,"about_ca_topic_score_gemma":0.0001557082,"domain_scores_codex":[0.9973242,0.0002732864,0.000742938,0.0009174218,0.0001561275,0.0005860196],"domain_scores_gemma":[0.9973585,0.00005638801,0.0008298928,0.0008003669,0.0007964608,0.0001583888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002134822,0.00008232727,0.9354481,0.0005521788,0.0001496901,7.941172e-7,0.00001328799,0.0001581124,0.06306333,0.00003084654,0.0002798805,0.000007927758],"study_design_scores_gemma":[0.001449674,0.0003450695,0.9853721,0.0002115422,0.00004497115,1.246632e-8,0.000006370383,0.0004321556,0.01126673,0.000006143151,0.0004474737,0.0004177324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898807,0.005032566,0.001205483,0.00006435821,0.0007892895,0.001032264,0.001974924,0.0000196408,7.141161e-7],"genre_scores_gemma":[0.9929824,0.001635991,0.004533394,0.00006714977,0.0004286749,0.0002690233,0.000006648541,0.00007324525,0.000003449492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0517966,"threshold_uncertainty_score":0.999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405798933180558,"score_gpt":0.2537935557337165,"score_spread":0.239735566401911,"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."}}