{"id":"W2793171360","doi":"10.1038/s41467-018-03202-2","title":"Gene-by-environment interactions in urban populations modulate risk phenotypes","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Health Canada; Université de Montréal; University of Toronto; Statistics Canada; Ontario Institute for Cancer Research","funders":"Ontario Ministry of Research and Innovation; Medical Research Council; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biology; Expression quantitative trait loci; Phenotype; Quantitative trait locus; Genetics; Transcriptome; Trait; Genome-wide association study; Genomics; Genetic variation; Genome; Computational biology; Genetic architecture; Evolutionary biology; Population; Gene; Exposome; Gene expression; Single-nucleotide polymorphism; Environmental health; Genotype; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006363656,0.0003375887,0.0003770794,0.0004946539,0.000641583,0.0006912361,0.0003632874,0.0002848928,0.002331943],"category_scores_gemma":[0.001194922,0.0001731144,0.0003917927,0.0009316764,0.0007951607,0.000185064,0.0006832405,0.0004033337,0.0001608856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009908307,"about_ca_system_score_gemma":0.001019639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1385966,"about_ca_topic_score_gemma":0.2348129,"domain_scores_codex":[0.9993642,0.00021774,0.00001616793,0.0002294156,0.00006017686,0.0001122872],"domain_scores_gemma":[0.9994456,0.0001898858,0.0001218213,0.0001134336,0.00006496981,0.0000643123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003111662,0.00008418607,0.9434168,0.00004805651,0.0006533497,0.0002760587,0.000712437,0.00328408,0.03544888,0.00129436,0.0005633906,0.0139071],"study_design_scores_gemma":[0.000005437324,0.0000327931,0.996173,0.00000715849,0.00008611321,0.00004494134,0.000231226,0.001828382,0.0006617797,0.0004997446,0.0004201781,0.000009338933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959378,0.0001469034,0.002013334,0.0001247433,0.000003792388,0.00001238762,0.0007406719,0.00002817413,0.0009920956],"genre_scores_gemma":[0.998406,0.00007517828,0.0007985376,0.00006039938,0.000002880518,0.000009134312,0.0002704584,0.00001071376,0.0003667202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1385966,"threshold_uncertainty_score":0.2755799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05654532105830223,"score_gpt":0.3558037338558144,"score_spread":0.2992584127975121,"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."}}