{"id":"W4417199191","doi":"10.1038/s41586-025-09820-3","title":"Mapping the genetic landscape across 14 psychiatric disorders","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Genome Canada; Centre for Addiction and Mental Health; University Health Network; Dalhousie University; University of Toronto; Hospital for Sick Children","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; HORIZON EUROPE Framework Programme; Norges Forskningsråd; Novo Nordisk Fonden; National Institute for Health and Care Research; Novo Nordisk; National Institutes of Health; H. Lundbeck A/S; Lundbeckfonden; Regeneron Pharmaceuticals; National Alliance for Research on Schizophrenia and Depression; European Commission; Center for Individualized Medicine, Mayo Clinic; Autism Speaks","keywords":"Schizophrenia (object-oriented programming); Psychiatric genetics; Bipolar disorder; Comorbidity; Psychosis; Anxiety; Genetic association; Genetic correlation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002165755,0.0001052362,0.000101268,0.00002873241,0.0002228524,0.00001705724,0.0002596589,0.0008823058,0.00001267613],"category_scores_gemma":[0.0001867895,0.00007430332,0.00009545148,0.0002533019,0.0000429966,7.714655e-7,0.0001060767,0.0005548825,0.000009159986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006640078,"about_ca_system_score_gemma":0.00004712137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008924102,"about_ca_topic_score_gemma":0.0001548013,"domain_scores_codex":[0.9992149,0.0000740035,0.0001483747,0.0002460828,0.00006175015,0.0002548246],"domain_scores_gemma":[0.9995176,0.0000300851,0.0000586384,0.0003210658,0.00004875854,0.00002381584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002342674,0.00005244822,0.6768248,0.00002304406,0.0001601496,4.576586e-7,0.0001475029,0.0005733466,0.003114335,0.0003286162,0.2936313,0.02512059],"study_design_scores_gemma":[0.0002904732,0.00002669763,0.6478545,0.000003219638,0.00001090726,0.000002064747,0.0002495981,0.0001312806,0.00008593858,0.001209563,0.35004,0.00009574453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604284,0.01795727,0.002895469,0.01007629,0.0009281959,0.0001913976,0.00001900489,0.00001573644,0.00748821],"genre_scores_gemma":[0.9911434,0.0007815979,0.001032435,0.004058131,0.0002295755,0.00002231988,0.00004496858,0.000008384034,0.002679206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05640872,"threshold_uncertainty_score":0.6805151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004597158686183443,"score_gpt":0.2684395215181186,"score_spread":0.2638423628319351,"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."}}