{"id":"W2746163443","doi":"10.1038/ng.3936","title":"Transcriptional risk scores link GWAS to eQTLs and predict complications in Crohn's disease","year":2017,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":182,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; SickKids Foundation; University of Ottawa; Hospital for Sick Children; University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; Crohn's and Colitis Foundation","keywords":"Expression quantitative trait loci; Genome-wide association study; Biology; Disease; Genetic association; Genetics; Single-nucleotide polymorphism; Gene expression profiling; Allele; Computational biology; Bioinformatics; Gene; Genotype; Gene expression; Internal medicine; Medicine","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":[0.001222789,0.0007503193,0.000474054,0.001042794,0.000443423,0.001616982,0.0005346393,0.001158762,0.004186241],"category_scores_gemma":[0.006953057,0.0003616173,0.001416656,0.001452565,0.0006283587,0.0004708363,0.0008244704,0.001547121,0.0005386493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510364,"about_ca_system_score_gemma":0.0002606614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148721,"about_ca_topic_score_gemma":0.001617953,"domain_scores_codex":[0.9985917,0.0005395651,0.0001340212,0.0003383307,0.0002142049,0.0001821939],"domain_scores_gemma":[0.9952965,0.002382106,0.001282415,0.0004751086,0.0002532283,0.0003105679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008691815,0.00006853291,0.9765067,0.00006018906,0.001022401,0.000533657,0.00009366999,0.0009020066,0.008495095,0.0006402608,0.00069907,0.01010934],"study_design_scores_gemma":[0.00008336044,0.000154754,0.9882933,0.00005147991,0.001023045,0.001037834,0.000126075,0.003205135,0.001914212,0.002899294,0.001178317,0.00003313348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925188,0.00107054,0.002780312,0.0009623155,0.00009777518,0.000005307654,0.001263706,0.0000673411,0.00123411],"genre_scores_gemma":[0.9974737,0.000189626,0.0009421216,0.0002287097,0.00007794586,0.000005699365,0.0005695682,0.00002753197,0.0004849786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004186241,"threshold_uncertainty_score":0.01400435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008045341466057546,"score_gpt":0.2683859758201487,"score_spread":0.2603406343540911,"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."}}