{"id":"W2606843655","doi":"10.1038/s41598-017-01058-y","title":"Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"Université Sorbonne Paris Cité; Shanghai Key Laboratory of Materials Laser Processing and Modification, Shanghai Jiao Tong University; Agence Nationale de la Recherche; CHIST-ERA; European Commission; National Institute for Health and Care Research; Wellcome Trust","keywords":"Genome-wide association study; Asthma; Gene; Computational biology; Gene regulatory network; Genetic association; Disease; Biology; Candidate gene; Innate immune system; Genetics; Bioinformatics; Medicine; Immune system; Immunology; Gene expression; Genotype; Single-nucleotide polymorphism","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":[0.001709788,0.0005621965,0.0006819892,0.002162293,0.0003800548,0.0006922854,0.0005622145,0.0003616888,0.001688389],"category_scores_gemma":[0.004610806,0.0002553731,0.001235088,0.001822868,0.0003092784,0.0003669908,0.0007461232,0.0004398966,0.0001184209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710768,"about_ca_system_score_gemma":0.0005730475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003092046,"about_ca_topic_score_gemma":0.004054798,"domain_scores_codex":[0.999212,0.000447286,0.00003574643,0.0001800596,0.0000684198,0.00005648008],"domain_scores_gemma":[0.9971473,0.002006639,0.0003505783,0.00019888,0.0001848872,0.0001118103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001295147,0.0002388878,0.8056013,0.0005288151,0.00674182,0.0009156378,0.0001730977,0.06163539,0.05745919,0.002368127,0.002024178,0.06101851],"study_design_scores_gemma":[0.0001291642,0.000266599,0.5719134,0.00003432463,0.002016089,0.000564725,0.0001250771,0.4122754,0.005606283,0.005825968,0.001208319,0.00003456136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436005,0.0008812312,0.05270185,0.0002248448,0.00001651221,0.00005376082,0.001691445,0.0003547034,0.0004752884],"genre_scores_gemma":[0.987155,0.0001017278,0.01149338,0.00003036777,0.00001409746,0.00002927641,0.001047026,0.00001555837,0.0001135092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003092046,"threshold_uncertainty_score":0.009042323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04115918540795622,"score_gpt":0.3116679295288311,"score_spread":0.2705087441208749,"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."}}