{"id":"W3141261819","doi":"10.1210/clinem/dgab215","title":"A Polygenic Risk Score to Predict Future Adult Short Stature Among Children","year":2021,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Jewish General Hospital","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; National Institutes of Health; National Institute for Health and Care Research; Jewish General Hospital; Public Health Agency; University of Bristol; European Commission; King's College London; Canadian Institutes of Health Research; Compute Canada; McGill University; Public Health Agency of Canada; Cancer Research UK; Wellcome Trust","keywords":"Demography; Cohort; Biobank; Medicine; Longitudinal study; Polygenic risk score; Context (archaeology); Population; Receiver operating characteristic; Cohort study; Biology; Internal medicine; Genetics; Single-nucleotide polymorphism; Genotype","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":[0.003603826,0.0009111302,0.0006984736,0.002635528,0.0002194837,0.0006523366,0.0005165044,0.0007432179,0.001469906],"category_scores_gemma":[0.006410551,0.0002148744,0.001926724,0.001945527,0.0002876927,0.0004071097,0.0005301466,0.0007316275,0.0001742216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329336,"about_ca_system_score_gemma":0.0004340904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003638392,"about_ca_topic_score_gemma":0.005733761,"domain_scores_codex":[0.9986613,0.0006946363,0.0001247183,0.0002575557,0.0001950484,0.00006669656],"domain_scores_gemma":[0.9960808,0.002021013,0.00110111,0.0002633173,0.0003194296,0.0002144056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003740272,0.00003642287,0.9838606,0.00009852989,0.00335473,0.00004926013,0.00002418363,0.001166477,0.000227519,0.00007821684,0.0003637008,0.01036638],"study_design_scores_gemma":[0.0000964349,0.0004341158,0.9844663,0.0001072557,0.003388629,0.0003219961,0.000055855,0.009832862,0.0002309833,0.0005186751,0.0005248831,0.00002194405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809131,0.008706076,0.005989148,0.0005223977,0.00007347069,0.00006351456,0.002514973,0.000116361,0.001100981],"genre_scores_gemma":[0.9944324,0.0008796933,0.002840975,0.00007159539,0.00005039008,0.00002914147,0.001522023,0.000007840044,0.0001660093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003638392,"threshold_uncertainty_score":0.01905912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553959235599592,"score_gpt":0.3210529871780451,"score_spread":0.3055133948220492,"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."}}