{"id":"W4214825972","doi":"10.2337/db21-1046","title":"Connecting Genomics and Proteomics to Identify Protein Biomarkers for Adult and Youth-Onset Type 2 Diabetes: A Two-Sample Mendelian Randomization Study","year":2022,"lang":"en","type":"article","venue":"Diabetes","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; Université de Montréal","funders":"","keywords":"Mendelian randomization; Genomics; Proteomics; Computational biology; Genetics; Mendelian inheritance; Biology; Type 2 diabetes; Bioinformatics; Medicine; Diabetes mellitus; Gene; Endocrinology; Genome; Genetic variants; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000877151,0.0001353944,0.0002242006,0.00006528586,0.0003499137,0.00003811275,0.00009546467,0.00005434201,0.00000536374],"category_scores_gemma":[0.001717826,0.0001427465,0.00003809319,0.0001098454,0.00002233543,0.000003574389,0.0002169736,0.00005551316,3.899545e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000264363,"about_ca_system_score_gemma":0.00003477164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005487884,"about_ca_topic_score_gemma":0.00005124813,"domain_scores_codex":[0.9988063,0.00021867,0.0002548475,0.0003801335,0.00006144734,0.0002785982],"domain_scores_gemma":[0.9993938,0.00009855358,0.0001301673,0.0001652919,0.0001379709,0.00007427672],"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":[0.0004012158,0.0001570513,0.4298292,0.00004457813,0.0004806954,1.700038e-7,0.002165905,0.001177354,0.5623842,0.00002338092,0.0003661909,0.002970098],"study_design_scores_gemma":[0.08997582,0.02700934,0.2301411,0.0001540352,0.001974654,0.000009885166,0.1299419,0.0786358,0.4171676,0.008229234,0.01066878,0.006091814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957005,0.0002590368,0.001200839,0.0002525822,0.0001009696,0.002102392,0.0003650962,0.00001245269,0.000006106909],"genre_scores_gemma":[0.9913995,0.00001189681,0.006970796,0.0003703138,0.00006054708,0.000644322,0.0005010304,0.00002666329,0.00001497039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.199688,"threshold_uncertainty_score":0.5821032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493383815248428,"score_gpt":0.2781755800944681,"score_spread":0.2632417419419838,"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."}}