{"id":"W4312094292","doi":"10.1038/s41588-022-01261-2","title":"A genome-wide CRISPR screen identifies CALCOCO2 as a regulator of beta cell function influencing type 2 diabetes risk","year":2022,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Center for Research Resources; Wellcome; Canadian Institutes of Health Research; University of Oxford; National Institute of Diabetes and Digestive and Kidney Diseases; Stanford Diabetes Research Center; National Institutes of Health; U.S. Department of Health and Human Services; Vertex Pharmaceuticals; Wellcome Trust; European Foundation for the Study of Diabetes; AstraZeneca","keywords":"Biology; CRISPR; Genome-wide association study; Genetics; Type 2 diabetes; Genetic screen; Proinsulin; Effector; Genome; Phenotype; Locus (genetics); Gene; Cell type; Computational biology; Cell biology; Insulin; Cell; Single-nucleotide polymorphism; Diabetes mellitus; Genotype; Endocrinology","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":[0.0002316193,0.0004444431,0.0003535431,0.0005351242,0.00028616,0.0005342939,0.0003412983,0.0005154393,0.002633747],"category_scores_gemma":[0.0003374553,0.0001633591,0.0003516008,0.0003636508,0.0002997138,0.00007384941,0.0004243748,0.0004565639,0.0003054077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600895,"about_ca_system_score_gemma":0.0003712352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674542,"about_ca_topic_score_gemma":0.003502285,"domain_scores_codex":[0.9998001,0.00002851985,0.00001266242,0.00006871419,0.00005954873,0.00003043906],"domain_scores_gemma":[0.9997142,0.000119828,0.00006099775,0.00002381568,0.00001489262,0.00006626258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004280682,0.00005016276,0.005966112,0.0000520186,0.00007511352,0.00101885,0.00004028988,0.0006741626,0.9862665,0.0003553938,0.0002301726,0.004843054],"study_design_scores_gemma":[0.0002549193,0.0009050649,0.1815097,0.00008188128,0.0007828714,0.006907222,0.0003117795,0.01641234,0.7769033,0.0009084659,0.01491207,0.0001104683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986901,0.0005315801,0.00736519,0.000232648,0.00004340519,0.00004805447,0.002358824,0.0003399864,0.002179262],"genre_scores_gemma":[0.9932145,0.0002865939,0.004077615,0.0001681165,0.00001099017,0.00002511181,0.000994693,0.00006523306,0.001157205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002633747,"threshold_uncertainty_score":0.008810759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007107235206224306,"score_gpt":0.2372999044340668,"score_spread":0.2301926692278425,"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."}}