{"id":"W2769140223","doi":"10.1002/ajmg.b.32614","title":"Polygenic risk scores distinguish patients from non‐affected adult relatives and from normal controls in schizophrenia and bipolar disorder multi‐affected kindreds","year":2017,"lang":"en","type":"article","venue":"American Journal of Medical Genetics Part B Neuropsychiatric Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Bipolar disorder; Schizophrenia (object-oriented programming); Schizoaffective disorder; First-degree relatives; Internal medicine; Medicine; Single-nucleotide polymorphism; Polygenic risk score; Bipolar I disorder; Population; Case-control study; Psychosis; Psychiatry; Genetics; Biology; Family history; Genotype; Mania","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006002274,0.0006420635,0.0003149792,0.001445399,0.0006018589,0.0005241972,0.0002578635,0.0003460677,0.001955744],"category_scores_gemma":[0.002439549,0.0002416584,0.0002959227,0.0007990314,0.0005150752,0.000189017,0.0004340849,0.0002599853,0.0001586389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006397536,"about_ca_system_score_gemma":0.0003143175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0669684,"about_ca_topic_score_gemma":0.09635456,"domain_scores_codex":[0.999551,0.0001196524,0.00004721602,0.0001334866,0.00008091167,0.00006775203],"domain_scores_gemma":[0.9991127,0.0002395112,0.0003166095,0.00008932069,0.00008459956,0.0001573946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004473434,0.00002927178,0.9911418,0.00001335383,0.0001745022,0.0005434399,0.0004991358,0.0001556705,0.002694967,0.00007666957,0.000176797,0.00404711],"study_design_scores_gemma":[0.000007615858,0.00002742871,0.9993083,0.000002752972,0.00002104899,0.000242882,0.00008590315,0.0001573253,0.00005366912,0.00002795375,0.00006153108,0.000003491652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995713,0.00006057636,0.00008268956,0.0000127805,0.000001532146,0.000004526879,0.00008501959,0.000003040037,0.0001786062],"genre_scores_gemma":[0.9993798,0.00004444496,0.000153205,0.00001039364,0.000002784826,0.000004805859,0.0002326718,0.000002321609,0.0001696664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0669684,"threshold_uncertainty_score":0.1331572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005154143318309575,"score_gpt":0.2521006503724683,"score_spread":0.2469465070541587,"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."}}