{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001018496,0.000143475,0.00008607185,0.00004884837,0.0002415833,0.0000774987,0.0003327909,0.0002229747,0.000008550094],"category_scores_gemma":[0.0002347178,0.0001487572,0.00005463279,0.00002603216,0.0001288008,0.000004665529,0.000124265,0.0002241961,0.000009150484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001153824,"about_ca_system_score_gemma":0.0001059079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005017529,"about_ca_topic_score_gemma":0.0001688469,"domain_scores_codex":[0.9990975,0.00003932479,0.0001531384,0.0003664949,0.0001445461,0.0001989448],"domain_scores_gemma":[0.9988388,0.000006751668,0.00007131901,0.0007133767,0.00009389794,0.0002758414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003554654,0.00007698642,0.9829999,0.00004301868,0.00003547794,0.00007970768,0.00005750969,0.000914484,0.009917457,0.0003674273,0.001893738,0.003258863],"study_design_scores_gemma":[0.0005108165,0.00002563896,0.983734,0.00002045923,0.00003018002,0.000001855687,0.000004247237,0.0003264607,0.0005933651,0.0005837647,0.01400156,0.0001676925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995452,0.002020939,0.0003052865,0.0007490164,0.0001683955,0.0003677788,0.0005069889,0.00001027139,0.0004193335],"genre_scores_gemma":[0.9969804,0.0004021648,0.001331438,0.0005761941,0.000359637,0.00005080466,0.0001269259,0.00002068891,0.0001517971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01210782,"threshold_uncertainty_score":0.6066144,"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."}}