{"id":"W4405828636","doi":"10.17615/bg9g-qs46","title":"Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation","year":2024,"lang":"en","type":"article","venue":"MDC Repository (Max-Delbrueck-Center for Molecular Medicine)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shionogi; Novo Nordisk; Sanofi; Kowa Company; Wellcome Trust; Respicardia; Regeneron Pharmaceuticals; Yale University; McMaster University; Amgen; National Heart, Lung, and Blood Institute; Pfizer; AstraZeneca; Eli Lilly and Company; GlaxoSmithKline","keywords":"Translation (biology); Type 2 diabetes; Computational biology; Evolutionary biology; Genetics; Biology; Genealogy; Data science; Diabetes mellitus; Computer science; History; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01559249,0.0006264762,0.001313335,0.001869736,0.001145341,0.002704605,0.0007547393,0.000614301,0.001801143],"category_scores_gemma":[0.02493464,0.0004444943,0.001113816,0.002575427,0.001123302,0.001431475,0.004331261,0.00153531,0.0002774929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340801,"about_ca_system_score_gemma":0.0007948304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003188763,"about_ca_topic_score_gemma":0.005548499,"domain_scores_codex":[0.9918014,0.005616183,0.0004397938,0.001254071,0.0006386386,0.000249846],"domain_scores_gemma":[0.9818394,0.009509672,0.000939936,0.006205998,0.0007522041,0.0007526748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001807667,0.0002059338,0.6592029,0.0005895661,0.005881439,0.001469763,0.004423568,0.006047446,0.02740658,0.01452358,0.00349563,0.2749459],"study_design_scores_gemma":[0.0003413289,0.0005045008,0.8995931,0.0005059397,0.003590099,0.00119712,0.001139144,0.008441317,0.005519216,0.05449351,0.02452963,0.0001452643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133896,0.01035161,0.06059574,0.006432789,0.0002565953,0.0001131136,0.002008819,0.0002118471,0.00663977],"genre_scores_gemma":[0.9731891,0.002190453,0.0215655,0.001222953,0.0002957546,0.00006927794,0.0009209535,0.00009607196,0.0004499008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01559249,"threshold_uncertainty_score":0.08246195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03850785606919284,"score_gpt":0.3146149957806231,"score_spread":0.2761071397114303,"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."}}