{"id":"W4200556990","doi":"10.1016/j.atherosclerosis.2021.11.030","title":"Polygenic risk scores for cardiovascular disease prediction in the clinical practice: Are we there?","year":2021,"lang":"en","type":"letter","venue":"Atherosclerosis","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Clinical Research Institute","funders":"Medicines Company; Ionis Pharmaceuticals; AstraZeneca; Regeneron Pharmaceuticals; Novartis; Fondation Leducq; Amgen; Pfizer; Sanofi; Merck","keywords":"Genome-wide association study; Scopus; Polygenic risk score; Schizophrenia (object-oriented programming); Single-nucleotide polymorphism; Disease; Genetic association; SNP; Bipolar disorder; Genetics; Medicine; Bioinformatics; Internal medicine; Biology; MEDLINE; Psychiatry; Gene; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002212554,0.0003231757,0.0005433594,0.00003915229,0.0001885173,0.00005637154,0.00044763,0.001122187,0.00001480278],"category_scores_gemma":[0.002750942,0.0002483495,0.001525519,0.0001247841,0.000118636,0.000004786067,0.0001148354,0.0008609447,0.00001158096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003698874,"about_ca_system_score_gemma":0.0001861353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219645,"about_ca_topic_score_gemma":0.00005216762,"domain_scores_codex":[0.9957446,0.001981839,0.0006455497,0.0008688254,0.0003029069,0.0004562686],"domain_scores_gemma":[0.9973072,0.0006120468,0.0005089802,0.001325561,0.000183329,0.00006283998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004178221,0.0001149789,0.09602172,0.00004596242,0.00147733,0.00000982509,0.00004620088,0.0002069505,0.00005455169,0.000003113463,0.9002835,0.001694065],"study_design_scores_gemma":[0.0005823674,0.0001388453,0.1856193,0.00005999277,0.001013927,0.000004007925,0.0001761924,0.00005834059,0.000007036378,0.0001556474,0.8119496,0.0002347904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1678114,0.0776304,0.008114787,0.737009,0.002641661,0.003005305,0.003474463,0.00005183111,0.0002611299],"genre_scores_gemma":[0.2193558,0.1371674,0.006399887,0.5999591,0.0242841,0.002910202,0.006777957,0.0003658893,0.002779672],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1370499,"threshold_uncertainty_score":0.9999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05898873436021654,"score_gpt":0.317128072295096,"score_spread":0.2581393379348794,"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."}}