{"id":"W4387823564","doi":"10.12688/wellcomeopenres.18754.1","title":"Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization","year":2023,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University","funders":"Biotechnology and Biological Sciences Research Council; National Heart, Lung, and Blood Institute; National Institute of Mental Health; Danish Agency for Science and Higher Education; Directorate for Biological Sciences; National Institutes of Health; Wellcome Trust; Universität Leipzig; National Center on Minority Health and Health Disparities; Manpei Suzuki Diabetes Foundation; Oulun Yliopisto; Medical Research Council; Leids Universitair Medisch Centrum; Augustinus Fonden; Diabetesforeningen; Vetenskapsrådet; ZonMw; Universiteit Leiden; European Commission; National Institute on Minority Health and Health Disparities; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft; Region Hovedstaden; Novo Nordisk; Royal Society; Agency for Science, Technology and Research; Helmholtz Zentrum München; American Diabetes Association; Forsknings- og Innovationsstyrelsen; Royal Society of Edinburgh; Academy of Finland; European Regional Development Fund; NHLBI Division of Intramural Research; National Institute on Aging; Helsefonden; Bundesministerium für Bildung und Forschung; University of Edinburgh; Massachusetts General Hospital; Centre for Cognitive Ageing and Cognitive Epidemiology; Biocenter, University of Oulu; National Institute for Health and Care Research; Hjerteforeningen; Age UK; National Institute of Diabetes and Digestive and Kidney Diseases; Tekes; Scottish Government; Sundhed og Sygdom, Det Frie Forskningsråd; Wake Forest University","keywords":"Prioritization; Exome sequencing; Effector; Scale (ratio); Exome; Computational biology; Glycemic; Statistics; Computer science; Biology; Gene; Genetics; Phenotype; Mathematics; Geography; Biotechnology; Engineering; Insulin; Immunology; Management science; Cartography","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":[0.0105315,0.001957288,0.001832139,0.006797197,0.0005891254,0.002904641,0.001969402,0.001100556,0.06689861],"category_scores_gemma":[0.05191133,0.0009125963,0.00208894,0.007803943,0.0003743705,0.001433281,0.002635099,0.001441607,0.0222526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009181945,"about_ca_system_score_gemma":0.003048139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004740968,"about_ca_topic_score_gemma":0.007470462,"domain_scores_codex":[0.9956736,0.001365898,0.0006671938,0.000974034,0.001079418,0.0002399304],"domain_scores_gemma":[0.9607232,0.02284675,0.00323425,0.007888509,0.004216423,0.001090873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002429274,0.0001865977,0.06911246,0.004400603,0.003453739,0.0009174427,0.0005408155,0.02219814,0.01531483,0.01795877,0.6676306,0.1958568],"study_design_scores_gemma":[0.00178933,0.0003947454,0.1368185,0.00105637,0.002002639,0.001201155,0.0004524212,0.09310245,0.02710895,0.1058819,0.629616,0.0005756014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009316092,0.0006923082,0.1196636,0.001009632,0.0002673343,0.0001607392,0.8225479,0.04236793,0.003974449],"genre_scores_gemma":[0.05488707,0.0007877949,0.1515056,0.0004926346,0.0002679018,0.0008702387,0.7792918,0.008940163,0.002956773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06689861,"threshold_uncertainty_score":0.2237982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08342423511930132,"score_gpt":0.3946939643810032,"score_spread":0.3112697292617019,"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."}}