{"id":"W2952657684","doi":"10.1101/193938","title":"Leveraging lung tissue transcriptome to uncover candidate causal genes in COPD genetic associations","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval; St. Paul's Hospital; University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; British Columbia Lung Association; National Institutes of Health; National Natural Science Foundation of China; Reseau canadien de recherche respiratoire; Université Laval","keywords":"Genome-wide association study; COPD; Candidate gene; Expression quantitative trait loci; Genetics; Genomics; Biology; Gene; Computational biology; Transcriptome; Genome; Bioinformatics; Medicine; Single-nucleotide polymorphism; Internal medicine; Genotype; Gene expression","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":[0.001123275,0.0003320359,0.0006981269,0.001487209,0.0003737575,0.001261176,0.0002739136,0.0004715626,0.002031232],"category_scores_gemma":[0.001555274,0.0003255209,0.0006431653,0.001263795,0.0003311804,0.0004457184,0.001181724,0.0008611517,0.0006995475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184155,"about_ca_system_score_gemma":0.0004072935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000707607,"about_ca_topic_score_gemma":0.00117376,"domain_scores_codex":[0.9994859,0.0001271796,0.00003696493,0.0001694985,0.0001052077,0.00007532917],"domain_scores_gemma":[0.999189,0.0003614661,0.0001378687,0.0001615297,0.00008933714,0.0000608969],"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":[0.0008738388,0.00009969174,0.2347521,0.0009299962,0.0009178172,0.001826714,0.0007409335,0.003732577,0.6946676,0.002691347,0.003024929,0.05574239],"study_design_scores_gemma":[0.0001512114,0.0003153646,0.8010939,0.0004003345,0.001731019,0.003585093,0.001350388,0.02270035,0.1076023,0.02139581,0.03955141,0.0001228376],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9023286,0.009637107,0.06494015,0.001697622,0.0001981528,0.00008562886,0.01694551,0.0004920407,0.003675156],"genre_scores_gemma":[0.9546319,0.002299728,0.03212199,0.0007277906,0.0001047653,0.00006435289,0.008820157,0.0001578792,0.001071481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002031232,"threshold_uncertainty_score":0.006795168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001003775138362,"score_gpt":0.2869283291804396,"score_spread":0.266918291429056,"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."}}