{"id":"W4415026712","doi":"10.1038/s41467-025-64927-5","title":"The effect of type 2 diabetes genetic predisposition on non-cardiovascular comorbidities","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"National Center for Advancing Translational Sciences; National Human Genome Research Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Manchester Biomedical Research Centre; European Commission; National Institute for Health and Care Research; National Institutes of Health; American Diabetes Association","keywords":"Genetic predisposition; Mendelian randomization; Type 2 diabetes; Diabetes mellitus; Genetic association; Genome-wide association study; Genetic variation; Genetic model","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":[0.002025132,0.0005545396,0.0004925254,0.0009606352,0.0004905671,0.001071885,0.0004210349,0.0006329773,0.004842853],"category_scores_gemma":[0.00820946,0.0002391046,0.001671838,0.001353035,0.0006259304,0.0003612922,0.001086243,0.0009251843,0.0002360939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002225755,"about_ca_system_score_gemma":0.0005754475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004994966,"about_ca_topic_score_gemma":0.00566692,"domain_scores_codex":[0.9969695,0.001429858,0.0001488793,0.0008954068,0.0003252474,0.0002310599],"domain_scores_gemma":[0.9948788,0.002576011,0.001167056,0.0009349884,0.0001544965,0.0002886697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008505463,0.00006724812,0.9749429,0.00008670245,0.002250611,0.000367921,0.0001075346,0.0009318983,0.004501725,0.001822301,0.0005546536,0.013516],"study_design_scores_gemma":[0.00004084826,0.0002096624,0.9898493,0.00004457661,0.001041851,0.0007307978,0.0001134464,0.00262996,0.001087518,0.003301976,0.0009307098,0.00001940003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839821,0.001734182,0.008257312,0.0005574233,0.00006395435,0.00003789556,0.001757177,0.00008099181,0.003528996],"genre_scores_gemma":[0.99673,0.0003013597,0.002194304,0.0001070296,0.0000233925,0.0000179225,0.0003148813,0.00001617425,0.0002949236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004994966,"threshold_uncertainty_score":0.01620096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005640379879702881,"score_gpt":0.2702950871758343,"score_spread":0.2646547072961314,"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."}}