{"id":"W4220792293","doi":"10.1186/s40246-022-00381-4","title":"Enhancer promoter interactome and Mendelian randomization identify network of druggable vascular genes in coronary artery disease","year":2022,"lang":"en","type":"article","venue":"Human Genomics","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Canadian Institutes of Health Research; Université Laval","keywords":"Mendelian randomization; Biology; Enhancer; Genome-wide association study; Genetics; Candidate gene; Gene; Expression quantitative trait loci; Druggability; Bioinformatics; Gene expression; Single-nucleotide polymorphism","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003446969,0.0001249653,0.0002933101,0.00005668739,0.0002133207,0.00001459603,0.0001334809,0.00004353607,0.0008097542],"category_scores_gemma":[0.0000055598,0.0001289587,0.0001603289,0.00007341491,0.00008487827,0.00006961454,0.0002055817,0.000122413,0.00001093764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006839048,"about_ca_system_score_gemma":0.00004097657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001988693,"about_ca_topic_score_gemma":0.00001305098,"domain_scores_codex":[0.9988996,0.0002960406,0.0002920498,0.000261772,0.00004679083,0.0002037916],"domain_scores_gemma":[0.9995642,0.00002228722,0.0001024178,0.0002592074,0.0000258929,0.00002605029],"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":[0.00251431,0.001040232,0.1102668,0.0002247842,0.002308301,0.00004384881,0.003686161,0.02034371,0.8399927,0.0006705667,0.002279417,0.01662919],"study_design_scores_gemma":[0.02451894,0.0003558713,0.9103132,0.0001474723,0.0009954924,0.00005004094,0.00183101,0.0003308919,0.008681905,0.002736462,0.04893461,0.001104124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742543,0.02487328,0.000140597,0.00001165343,0.000239612,0.000367797,0.00005229009,0.00001592711,0.00004461269],"genre_scores_gemma":[0.9985026,0.0007004958,0.00001880077,0.00006020029,0.00003623192,0.0001135136,0.0003097723,0.00002194533,0.0002364636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8313108,"threshold_uncertainty_score":0.8866242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136387588478799,"score_gpt":0.2277210358659166,"score_spread":0.2163571599811286,"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."}}