{"id":"W4206044533","doi":"10.1101/2020.06.28.171561","title":"An Effector Index to Predict Causal Genes at GWAS Loci","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Genentech; National Institutes of Health; National Institute for Health and Care Research; Wellcome Trust; Compute Canada; Novo Nordisk; Sanofi; Servier; Pfizer; Eli Lilly and Company","keywords":"Genome-wide association study; Computational biology; Biology; Genetics; Gene; Genome; Single-nucleotide polymorphism; Genotype","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004394376,0.0006559929,0.0006349213,0.003014922,0.0002096189,0.0008485738,0.0005924544,0.000611329,0.002141329],"category_scores_gemma":[0.008726947,0.0001700687,0.0006601529,0.00103447,0.0002503371,0.0004027954,0.0007622946,0.0008292533,0.0005854166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003026807,"about_ca_system_score_gemma":0.0004083599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008701601,"about_ca_topic_score_gemma":0.0008371701,"domain_scores_codex":[0.9990519,0.0002625001,0.0000971824,0.0002613281,0.0002667989,0.00006031897],"domain_scores_gemma":[0.9911157,0.006669819,0.0007179857,0.0003461128,0.000918647,0.0002317807],"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":[0.0013606,0.0004833543,0.5410652,0.0003028144,0.0008804404,0.0003991244,0.0001253449,0.08530553,0.0300759,0.003199921,0.00638881,0.3304131],"study_design_scores_gemma":[0.0001566214,0.0004112469,0.08748668,0.00003395901,0.0002364729,0.0004838169,0.00004590935,0.8824745,0.01948072,0.006795664,0.002340618,0.00005382001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5362243,0.001184812,0.4509975,0.0004146019,0.00009021155,0.0002398734,0.002717003,0.004978443,0.003153336],"genre_scores_gemma":[0.8546355,0.0001599342,0.140816,0.0001605945,0.00004992151,0.00010044,0.002970049,0.000122799,0.0009847874],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004394376,"threshold_uncertainty_score":0.02323997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269973185675107,"score_gpt":0.2437254958687615,"score_spread":0.2310257640120104,"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."}}