{"id":"W2761275051","doi":"10.1038/nature24277","title":"Genetic effects on gene expression across human tissues","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4646,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"Common Fund; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; NIH Office of the Director; National Institute of Mental Health; National Heart, Lung, and Blood Institute; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute for Health and Care Research; U.S. National Library of Medicine; Leidos; National Institute on Aging; Searle Scholars Program; Center for Computational, Evolutionary and Human Genomics, Stanford University; Broad Institute; National Human Genome Research Institute; Wellcome Trust; National Institute on Drug Abuse; University of Miami; National Institutes of Health; National Science Foundation","keywords":"Gene expression; Gene; Biology; Genetics; Expression (computer science); Computational biology; Evolutionary biology; 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":[0.0007859988,0.0001669402,0.0003521088,0.001026178,0.0002381238,0.0003684511,0.0001544351,0.0002126044,0.001248817],"category_scores_gemma":[0.001467084,0.00016407,0.0002932738,0.0008142565,0.0004889281,0.0001324117,0.0004481554,0.0002715554,0.0001718014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761177,"about_ca_system_score_gemma":0.00009341536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009342608,"about_ca_topic_score_gemma":0.0009812743,"domain_scores_codex":[0.9986015,0.000551554,0.00007518884,0.000469016,0.0002219656,0.00008069678],"domain_scores_gemma":[0.9987351,0.0005759149,0.0003018865,0.0002360857,0.00008442866,0.00006655395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009805629,0.0000670481,0.4305994,0.0001567399,0.0008039848,0.0007015867,0.0004436707,0.0016312,0.5275798,0.001086867,0.0002998432,0.03564947],"study_design_scores_gemma":[0.000008581118,0.0001600716,0.9774414,0.000009081706,0.000144828,0.001008151,0.00009085859,0.0004220072,0.01892765,0.0006484714,0.001125941,0.00001288741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927173,0.001134004,0.003685659,0.00005502229,0.00001058087,0.00001327016,0.0008248619,0.00003070687,0.001528561],"genre_scores_gemma":[0.997321,0.0003606719,0.001427897,0.00005126341,0.000008266412,0.00001655528,0.0004208051,0.00002018779,0.0003732611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001248817,"threshold_uncertainty_score":0.00417769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008743756696043206,"score_gpt":0.3329474308859607,"score_spread":0.3242036741899175,"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."}}