{"id":"W2604231946","doi":"10.1016/j.jacl.2017.03.019","title":"Polygenic risk score predicts prevalence of cardiovascular disease in patients with familial hypercholesterolemia","year":2017,"lang":"en","type":"article","venue":"Journal of clinical lipidology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; Institut universitaire de cardiologie et de pneumologie de Québec; McMaster University; Université de Montréal; Université Laval; Population Health Research Institute; Hamilton Health Sciences; McGill University; Hamilton General Hospital; Montreal Clinical Research Institute","funders":"Fondation Leducq; Amgen","keywords":"Medicine; Familial hypercholesterolemia; Atherosclerotic cardiovascular disease; Internal medicine; Disease; Framingham Risk Score; Polygenic risk score; Cholesterol; Genetics; Single-nucleotide polymorphism; Gene","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":[0.0007337784,0.0006327991,0.0005123765,0.001056059,0.0008075121,0.0008483524,0.0003899225,0.001035271,0.002572392],"category_scores_gemma":[0.003024985,0.0003596255,0.0009621057,0.001034064,0.0004477324,0.0005745342,0.0006108193,0.001098372,0.0003306277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187151,"about_ca_system_score_gemma":0.0003737133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004503811,"about_ca_topic_score_gemma":0.004553621,"domain_scores_codex":[0.9994193,0.0002235513,0.00006381598,0.0001125428,0.00008229751,0.00009835774],"domain_scores_gemma":[0.997897,0.0005831213,0.0006977104,0.0002193821,0.0001526407,0.0004501566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001831382,0.00004437125,0.9986563,0.000002773402,0.0001278884,0.0001017438,0.00003008718,0.00005530034,0.0002474188,0.0000250628,0.00004015634,0.000485793],"study_design_scores_gemma":[0.000006323235,0.00008048942,0.9984891,0.000002939969,0.00009790372,0.0003340667,0.00007398192,0.0007588139,0.00003623322,0.00007178559,0.0000432803,0.000004958102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989256,0.0001826815,0.0001768956,0.00008122097,0.00001436967,0.000003074762,0.0000948837,0.000006494081,0.0005146698],"genre_scores_gemma":[0.999627,0.00004037571,0.00007095084,0.00001488693,0.00001531228,0.000002014503,0.00009587223,0.000001741422,0.0001319077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004503811,"threshold_uncertainty_score":0.008955181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04309129505651017,"score_gpt":0.3318935463281696,"score_spread":0.2888022512716594,"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."}}