{"id":"W4223509630","doi":"10.1038/s42003-022-03248-5","title":"Identification of genetic effects underlying type 2 diabetes in South Asian and European populations","year":2022,"lang":"en","type":"review","venue":"Communications Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McGill University; Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"National Institute of Environmental Health Sciences; National Heart, Lung, and Blood Institute; Biomedical Research Council; National Medical Research Council; Medical Research Council; Fogarty International Center; Canadian Institutes of Health Research; Horizon 2020 Framework Programme; MRC-PHE Centre for Environment and Health; Servier; National Center for Global Health and Medicine; Department of Science and Technology, Ministry of Science and Technology, India; National Institute of Neurological Disorders and Stroke; University of Cambridge; British Heart Foundation; National Institute on Aging; National Institute for Health and Care Research; European Commission; Jawaharlal Nehru University; Council of Scientific and Industrial Research, India; Imperial College Healthcare NHS Trust; Wellcome Trust; National Institutes of Health; Regeneron Pharmaceuticals; Genentech; National Institute for Health Research Health Protection Research Unit; Pfizer; Heart and Stroke Foundation of Canada; GlaxoSmithKline; Imperial College London; American Heart Association; Eli Lilly and Company; Bristol-Myers Squibb; AstraZeneca; National Institute of Diabetes and Digestive and Kidney Diseases; Sanofi","keywords":"Type 2 diabetes; Quartile; Genetic association; Biology; Genome-wide association study; Gene; Identification (biology); Genetics; Computational biology; Evolutionary biology; Bioinformatics; Genotype; Diabetes mellitus; Single-nucleotide polymorphism; Medicine; Internal medicine; 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":[0.001265745,0.0008928023,0.001833416,0.00242464,0.0001463062,0.0008259722,0.0008310351,0.0009651957,0.00209614],"category_scores_gemma":[0.001600729,0.0003085877,0.0008884646,0.002599925,0.000535249,0.0005500629,0.0005623984,0.001332264,0.0007159496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005966589,"about_ca_system_score_gemma":0.001226396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002439865,"about_ca_topic_score_gemma":0.002568535,"domain_scores_codex":[0.9997489,0.00006692698,0.00003951171,0.00006650978,0.00005825274,0.00001982451],"domain_scores_gemma":[0.9991211,0.0005687776,0.0001044391,0.0000229763,0.0001354154,0.0000472049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002674166,0.00004204324,0.002563759,0.01914046,0.001122661,0.0002514481,0.00004222196,0.0005700759,0.0008273281,0.002698079,0.01333111,0.9591434],"study_design_scores_gemma":[0.0002159345,0.0004093033,0.03580828,0.02364834,0.004795291,0.005261616,0.0001856844,0.0008222488,0.001587255,0.01251181,0.9146298,0.0001243122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001881142,0.9990108,0.0001272173,0.0003247895,0.00008805995,0.000001806562,0.00002660254,0.000004686715,0.0002278775],"genre_scores_gemma":[0.001389247,0.9980319,0.000146398,0.0001444116,0.0001212863,0.000004471891,0.00004213923,0.00000137381,0.0001187876],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002439865,"threshold_uncertainty_score":0.007012308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191726609807301,"score_gpt":0.3790486531685874,"score_spread":0.2598759921878573,"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."}}