{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00661346,0.0005548756,0.00115291,0.001879114,0.0005631064,0.001236772,0.0007082435,0.0006945411,0.000926613],"category_scores_gemma":[0.01379583,0.000673549,0.003164095,0.004577013,0.0004892316,0.0005390319,0.001702875,0.0005576948,0.0001271953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007516816,"about_ca_system_score_gemma":0.0006274918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026362,"about_ca_topic_score_gemma":0.01550932,"domain_scores_codex":[0.9915558,0.004712681,0.001199459,0.001650137,0.0005925347,0.0002894721],"domain_scores_gemma":[0.9876944,0.005237697,0.004748423,0.001477679,0.0005791227,0.0002626416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003233749,0.00001848678,0.9925911,0.0001004308,0.004258526,0.00005009386,0.0001085997,0.0004469582,0.0001819838,0.0000309026,0.0001292594,0.001760237],"study_design_scores_gemma":[0.0001336608,0.0002056512,0.9931244,0.00006638088,0.004118475,0.000172443,0.0001747261,0.001355393,0.0002150886,0.0001312817,0.0002843508,0.00001811016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930704,0.001784367,0.0008588002,0.0001156795,0.0000111206,0.00003170014,0.003924605,0.00002395555,0.0001793782],"genre_scores_gemma":[0.9975671,0.0002451447,0.0004682648,0.00003246802,0.000006015713,0.00002543515,0.001609311,0.000003914835,0.00004248288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02026362,"threshold_uncertainty_score":0.04029131,"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."}}