{"id":"W4297266084","doi":"10.1161/circulationaha.122.059675","title":"Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors","year":2022,"lang":"en","type":"article","venue":"Circulation","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"National Human Genome Research Institute; National Institutes of Health; Novo Nordisk; Kowa Company; U.S. Department of Veterans Affairs; Alnylam Pharmaceuticals; Amarin Corporation; Boston Scientific Corporation; Yale University; AstraZeneca; National Heart, Lung, and Blood Institute; Pfizer; Amgen; Esperion Therapeutics","keywords":"Genome-wide association study; Medicine; Genetic association; Mendelian randomization; Genetics; Locus (genetics); Candidate gene; Multiple comparisons problem; Single-nucleotide polymorphism; Bioinformatics; Biology; Gene; Genotype; Genetic variants","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":[0.003629927,0.0006016315,0.0006774463,0.001542373,0.0006720645,0.001154596,0.0004932478,0.0005983239,0.002746278],"category_scores_gemma":[0.007879621,0.0002868404,0.001697536,0.002473555,0.0003443044,0.000381961,0.001213945,0.0007806936,0.0002676951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002280255,"about_ca_system_score_gemma":0.0003826248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002580155,"about_ca_topic_score_gemma":0.003029547,"domain_scores_codex":[0.9977407,0.0009933555,0.000192669,0.0006699922,0.0002285058,0.0001748011],"domain_scores_gemma":[0.9946088,0.002539329,0.001128041,0.0009379113,0.0004802666,0.0003056425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006389145,0.00004837998,0.9734553,0.0001871114,0.006396589,0.0003824546,0.0003101879,0.0005590139,0.005374251,0.0003367462,0.0003435138,0.01196757],"study_design_scores_gemma":[0.00006817477,0.0002458256,0.9840246,0.00008092658,0.007058142,0.001203231,0.0002267952,0.001685898,0.002184546,0.0008728359,0.002329168,0.00001992581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881368,0.004804875,0.004602202,0.0001848062,0.0000371333,0.0000233605,0.001261788,0.00003560896,0.0009134535],"genre_scores_gemma":[0.9969512,0.0005904875,0.001461178,0.00007751729,0.00002356607,0.00001978363,0.0007147691,0.00001958952,0.0001418689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003629927,"threshold_uncertainty_score":0.01919711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259804836207948,"score_gpt":0.272794486164949,"score_spread":0.2501964378028695,"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."}}