{"id":"W2759802189","doi":"10.1093/hmg/ddy091","title":"Leveraging lung tissue transcriptome to uncover candidate causal genes in COPD genetic associations","year":2018,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; St. Paul's Hospital; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"National Heart, Lung, and Blood Institute; University of British Columbia; National Natural Science Foundation of China; Rijksuniversiteit Groningen; Canadian Institutes of Health Research; Université Laval","keywords":"Genome-wide association study; Expression quantitative trait loci; Candidate gene; Biology; Mendelian randomization; Genetics; Genetic association; COPD; Quantitative trait locus; Computational biology; Gene; Single-nucleotide polymorphism; Genotype; Medicine; Genetic variants","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":[0.0008639934,0.0002920514,0.0006093337,0.001180059,0.0002684403,0.0008321386,0.0002464574,0.0004186223,0.00150306],"category_scores_gemma":[0.001262352,0.0002772776,0.0005758178,0.001149499,0.0002519385,0.0003462251,0.0008970534,0.0004630916,0.0003920442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151688,"about_ca_system_score_gemma":0.0003412431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009698152,"about_ca_topic_score_gemma":0.001704686,"domain_scores_codex":[0.9995061,0.0001374108,0.0000315206,0.0001772193,0.00007734403,0.00007030444],"domain_scores_gemma":[0.9993112,0.0002595558,0.0001581887,0.0001646976,0.00005675221,0.00004968375],"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":[0.000892475,0.00009667111,0.3868677,0.0006713576,0.000817067,0.001082648,0.0004420046,0.005183255,0.5465952,0.001464145,0.001090074,0.05479733],"study_design_scores_gemma":[0.00005124083,0.0001880641,0.9491779,0.00008764205,0.0005874805,0.001296096,0.0004081249,0.01395597,0.02274105,0.004489224,0.006981119,0.00003611754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587351,0.003312999,0.02747513,0.0003366409,0.00003469256,0.0000582769,0.008059572,0.0002445912,0.001742871],"genre_scores_gemma":[0.9772298,0.001008886,0.01425952,0.0002451059,0.00002545126,0.00005469552,0.006571351,0.00005591948,0.0005492575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00150306,"threshold_uncertainty_score":0.005028188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031776602688865,"score_gpt":0.3266496963494239,"score_spread":0.3063319303225353,"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."}}