{"id":"W2909754503","doi":"10.1038/s41397-019-0067-3","title":"Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP","year":2019,"lang":"en","type":"review","venue":"The Pharmacogenomics Journal","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Biotechnology and Biological Sciences Research Council; Lundbeckfonden; University of Edinburgh; Dr Mortimer and Theresa Sackler Foundation; Scottish Government; Scottish Funding Council; Wellcome Trust; Medical Research Council; Centre for Cognitive Ageing and Cognitive Epidemiology; Wellcome","keywords":"Genome-wide association study; Antidepressant; Major depressive disorder; Population; Meta-analysis; Psychiatry; Medicine; Genetic association; Psychology; Mood; Genetics; Internal medicine; Biology; Single-nucleotide polymorphism; Genotype; Gene; Anxiety; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01239509,0.001182745,0.003085751,0.002493845,0.0006100281,0.001931825,0.001022649,0.001093011,0.001568951],"category_scores_gemma":[0.01929178,0.0005908582,0.0132861,0.007329048,0.0004927125,0.0006339813,0.0009713363,0.001483664,0.0001655666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814745,"about_ca_system_score_gemma":0.001035566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009933282,"about_ca_topic_score_gemma":0.01548247,"domain_scores_codex":[0.9881748,0.007241978,0.00138561,0.002031062,0.0008311914,0.0003353933],"domain_scores_gemma":[0.9862731,0.009162432,0.001640285,0.002127165,0.0005631355,0.000233877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00299526,0.00005554755,0.4979659,0.003148418,0.4748817,0.0003491684,0.0001193154,0.001631753,0.0009420177,0.0003520415,0.001229961,0.01632886],"study_design_scores_gemma":[0.0007018198,0.0004437615,0.5265733,0.0007351011,0.4617166,0.0005232905,0.0001594415,0.004292379,0.0006172298,0.001275323,0.002915594,0.0000461257],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7047462,0.2711683,0.01342914,0.002116726,0.0006318439,0.0001638144,0.005965653,0.0002667885,0.001511475],"genre_scores_gemma":[0.9780135,0.01589246,0.00325187,0.0004205324,0.0001433221,0.000111294,0.001864511,0.00004650091,0.0002560232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239509,"threshold_uncertainty_score":0.06555235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.172778937141139,"score_gpt":0.4009738658415622,"score_spread":0.2281949287004233,"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."}}