{"id":"W2795504238","doi":"10.1101/265017","title":"Identifying tissues implicated in Anorexia Nervosa using Transcriptomic Imputation","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto; Toronto General Hospital; SickKids Foundation; Hospital for Sick Children; McGill University and Génome Québec Innovation Centre","funders":"National Institutes of Health; National Institute of Mental Health; Vetenskapsrådet; Institut National de la Santé et de la Recherche Médicale; Deutsche Forschungsgemeinschaft; European Commission; King's College London; Bundesministerium für Bildung und Forschung; Louis and Harold Price Foundation; National Institute for Health and Care Research; South London and Maudsley NHS Foundation Trust; Institut National de la Recherche Agronomique; Takeda Pharmaceutical Company; University of Pittsburgh; Icahn School of Medicine at Mount Sinai; Wellcome Trust; Regione del Veneto; F. Hoffmann-La Roche; University of Pennsylvania; Klarman Family Foundation; Alexander von Humboldt-Stiftung","keywords":"Genome-wide association study; Imputation (statistics); Transcriptome; Locus (genetics); Expression quantitative trait loci; Biology; Eating disorders; Genetic association; Genetics; Gene; Bioinformatics; Psychology; Genotype; Gene expression; Psychiatry; Single-nucleotide polymorphism; Missing data; Machine learning; Computer science","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":[0.003760185,0.0008782842,0.001004511,0.001386715,0.0008384702,0.001453147,0.001045959,0.0007995821,0.004191608],"category_scores_gemma":[0.007961147,0.000362731,0.002735178,0.002263897,0.0005635112,0.0002888283,0.001169237,0.001433767,0.0008037254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003706985,"about_ca_system_score_gemma":0.0007775146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003717132,"about_ca_topic_score_gemma":0.003472052,"domain_scores_codex":[0.9979969,0.0006705867,0.0001593909,0.0007448598,0.0002333543,0.000194946],"domain_scores_gemma":[0.9964289,0.00219405,0.0004925335,0.0005365647,0.0002375532,0.0001104526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00300824,0.0002990043,0.7420455,0.001104794,0.006213923,0.004211384,0.0006161616,0.04887923,0.09364097,0.005141677,0.01001477,0.08482432],"study_design_scores_gemma":[0.0006318277,0.0007693374,0.6163149,0.0004137846,0.006608985,0.004494081,0.000684533,0.2851356,0.03072953,0.0228685,0.03115031,0.0001986777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6755986,0.003082858,0.2791259,0.001092908,0.0002656337,0.0002970114,0.03597658,0.001906424,0.002654115],"genre_scores_gemma":[0.9027794,0.0007150734,0.06309167,0.0007868478,0.0001051926,0.0003773563,0.03045975,0.0002763809,0.00140842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004191608,"threshold_uncertainty_score":0.01988602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829724932379982,"score_gpt":0.312687672983567,"score_spread":0.2743904236597672,"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."}}