{"id":"W4205756350","doi":"10.1038/s41431-021-00987-7","title":"Polygenic risk modeling for prediction of epithelial ovarian cancer risk","year":2022,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; Royal Alexandra Hospital; Public Health Ontario; University of British Columbia; BC Cancer Agency; Alberta Health Services; Centre hospitalier universitaire de Québec; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Vancouver General Hospital; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Medical Research and Materiel Command; European Social Fund; National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; NIHR Cambridge Biomedical Research Centre; Instituto de Salud Carlos III; World Cancer Research Fund; Medical Research Council; Canadian Institutes of Health Research; National Institutes of Health; BC Cancer Foundation; Pomorski Uniwersytet Medyczny W Szczecinie; Mutuelle Générale de l'Education Nationale; Institut Gustave-Roussy; Ministero dello Sviluppo Economico; Deutsche Krebshilfe; Norges Forskningsråd; Associazione Italiana per la Ricerca sul Cancro; National Health and Medical Research Council; Jewish General Hospital; Helse Vest; Ovarian Cancer Research Fund; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Cancerfonden; National Cancer Institute; Peter MacCallum Foundation; University College London; Cancer Institute NSW; European Commission; Ovarian Cancer Action; Roswell Park Cancer Institute; National Institute for Health and Care Research; University of Cambridge; Fred C. and Katherine B. Andersen Foundation; NordForsk; Vetenskapsrådet; Georgia Clinical and Translational Science Alliance; Korea Health Industry Development Institute; Deutsches Krebsforschungszentrum; Vanderbilt University Medical Center; Institut National de la Santé et de la Recherche Médicale; Cancer Council Tasmania; Cedars-Sinai Medical Center; Swedish Cancer Foundation; Ovarian Cancer Australia; Lon V. Smith Foundation; Radboud Universiteit; Ministère du Développement Économique, de l’Innovation et de l’Exportation; U.S. Department of Defense; Cancer Research UK; Memorial Sloan-Kettering Cancer Center; Wellcome Trust; Kreftforeningen; Cancer Research Society; Ligue Contre le Cancer; Breast Cancer Research Foundation; McGill University; Univerzita Karlova v Praze; Mayo Foundation for Medical Education and Research; Cancer Council Victoria; Kræftens Bekæmpelse; University of Pittsburgh; Rutgers Cancer Institute of New Jersey; Hellenic Health Foundation; Ministry of Health, Labour and Welfare; Minnesota Ovarian Cancer Alliance; Moffitt Cancer Center; Vanderbilt University; Cancer Australia; Oak Foundation","keywords":"Logistic regression; Odds ratio; Single-nucleotide polymorphism; Ovarian cancer; Lasso (programming language); Oncology; Internal medicine; Medicine; Biology; Bioinformatics; Genotype; Cancer; Genetics; Computer science; Gene","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":[0.006166303,0.0008349845,0.0008942602,0.0009846489,0.0004170591,0.0009391145,0.0009900744,0.0007436192,0.001161242],"category_scores_gemma":[0.01443406,0.0005038922,0.001489431,0.0009573491,0.0005213234,0.0005837128,0.001109528,0.001682399,0.0004167141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006562346,"about_ca_system_score_gemma":0.001114682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008415055,"about_ca_topic_score_gemma":0.007545795,"domain_scores_codex":[0.9968272,0.002471048,0.00009988862,0.0003713175,0.0001508606,0.00007952326],"domain_scores_gemma":[0.9943117,0.004539544,0.0004727652,0.0003289279,0.0002399162,0.0001070775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001889662,0.00008951169,0.04197822,0.0001137062,0.0006762279,0.0001462245,0.0001802487,0.8806179,0.001082975,0.01430967,0.002150801,0.05846566],"study_design_scores_gemma":[0.00002139729,0.00004293449,0.002831298,0.00002006854,0.00004587842,0.00003842575,0.00001145134,0.9831151,0.0001812064,0.01291005,0.0007670835,0.0000149787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1267187,0.001309084,0.8674796,0.001203235,0.00006281894,0.00009200192,0.001395089,0.0007443664,0.0009949862],"genre_scores_gemma":[0.8051304,0.0008749292,0.1891218,0.0003324609,0.0001245916,0.0002589637,0.002439812,0.0001444186,0.001572629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008415055,"threshold_uncertainty_score":0.03261095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660178285032913,"score_gpt":0.2816710286850563,"score_spread":0.2450692458347272,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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