{"id":"W4396531762","doi":"10.1038/s41588-024-01714-w","title":"Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits","year":2024,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; McMaster University; Population Health Research Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute on Aging; Medical Research Council; School of Medicine, Duke University; National Institutes of Health; Isfahan University of Medical Sciences; Brigham and Women's Hospital; British Heart Foundation; Eesti Teadusagentuur; Novo Nordisk Fonden; Israel Science Foundation; University of Oxford; King's College London; Department of Health and Social Care; U.S. Department of Veterans Affairs; National Institute of Neurological Disorders and Stroke; National Institute for Health and Care Research","keywords":"Biology; Polygenic risk score; Multifactorial Inheritance; Genome-wide association study; Quantitative trait locus; Genetics; Blood pressure; Genome; Evolutionary biology; Gene; Single-nucleotide polymorphism; 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":[0.0006607068,0.0002067267,0.0003309851,0.0002205875,0.00004851013,0.00002353685,0.0002873387,0.0006253748,0.00001348349],"category_scores_gemma":[0.0003832211,0.0001923739,0.0003005103,0.0004901664,0.00005675442,0.0000029558,0.0001008008,0.0003491525,0.000001042546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007023025,"about_ca_system_score_gemma":0.00008758929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001622307,"about_ca_topic_score_gemma":0.0001778108,"domain_scores_codex":[0.9983638,0.0001897146,0.0004644333,0.0005312552,0.0001211987,0.0003296242],"domain_scores_gemma":[0.9992032,0.000105826,0.0001932924,0.0003323388,0.00009818164,0.00006713519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003855683,0.0001047902,0.898322,0.0001247031,0.00314424,0.000002335207,0.0001781633,0.005886064,0.08827019,0.0000115416,0.0008495296,0.003067879],"study_design_scores_gemma":[0.0004670039,0.0002603724,0.9745599,0.00001496506,0.001858822,0.000001648892,0.0000248722,0.001347025,0.01060509,0.0001617331,0.01048093,0.0002176355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314535,0.06518206,0.001991898,0.00007885709,0.0001738438,0.0003011646,0.0006365807,0.00001192944,0.0001701616],"genre_scores_gemma":[0.9908152,0.00312734,0.004871621,0.0001553303,0.0003215434,0.00002232176,0.0003856568,0.00003546105,0.000265484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07766511,"threshold_uncertainty_score":0.7844778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00920210464408175,"score_gpt":0.2684908305959993,"score_spread":0.2592887259519175,"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."}}