{"id":"W3003314402","doi":"10.1038/s41398-020-0738-5","title":"A polygenic predictor of treatment-resistant depression using whole exome sequencing and genome-wide genotyping","year":2020,"lang":"en","type":"article","venue":"Translational Psychiatry","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"H2020 Marie Skłodowska-Curie Actions; National Institute of Mental Health; Medical Research Council; Canada Research Chairs; National Institutes of Health; H. Lundbeck A/S; King's College London; Department of Health and Social Care; National Institute for Health and Care Research; Maudsley Charity; European Commission; University of Texas Southwestern Medical Center; South London and Maudsley NHS Foundation Trust; GlaxoSmithKline","keywords":"Treatment-resistant depression; Major depressive disorder; Genotyping; Exome sequencing; Concordance; Oncology; Endophenotype; Medicine; Biology; Internal medicine; Bioinformatics; Genetics; Gene; Psychiatry; Genotype; Mutation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001609209,0.0004848754,0.0004581768,0.0006097084,0.0002252054,0.0006417469,0.0002656357,0.0004441809,0.001230786],"category_scores_gemma":[0.003631897,0.0002279196,0.0008493666,0.0007903787,0.0001747453,0.0002143534,0.0004443259,0.0007184158,0.0002466015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603642,"about_ca_system_score_gemma":0.000216549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003158277,"about_ca_topic_score_gemma":0.004486188,"domain_scores_codex":[0.9990678,0.0004836267,0.00005686894,0.0002665288,0.0000732609,0.00005198044],"domain_scores_gemma":[0.9987376,0.0006180664,0.0002478546,0.0002440892,0.00006689404,0.0000853929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001165295,0.0001301248,0.9659917,0.00004494017,0.001441815,0.0002686733,0.0001128695,0.003219345,0.006235994,0.0001202572,0.0005216324,0.02074737],"study_design_scores_gemma":[0.00003504476,0.0001878562,0.9802918,0.00001532485,0.0003607593,0.0004198229,0.00003439972,0.01756515,0.0004979378,0.0003111752,0.0002667895,0.00001396422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958617,0.0002114045,0.002664198,0.00007374195,0.000004758076,0.00002319208,0.0008928424,0.00003679326,0.0002313801],"genre_scores_gemma":[0.9967695,0.00007511234,0.001697537,0.00002502557,0.000005409609,0.00001958754,0.001240778,0.000009093635,0.0001578856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003158277,"threshold_uncertainty_score":0.008510411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144254285759213,"score_gpt":0.2402678586368155,"score_spread":0.2188253157792234,"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."}}