{"id":"W4399323434","doi":"10.1158/0008-5472.can-23-3854","title":"Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast Cancer","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"National Institute of Environmental Health Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Memorial Sloan-Kettering Cancer Center","keywords":"Genome-wide association study; Breast cancer; Cancer; SNP; Oncology; Triple-negative breast cancer; Biology; Case-control study; Genetic association; Single-nucleotide polymorphism; Medicine; Internal medicine; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002510859,0.0004309034,0.0006385433,0.001599286,0.0007550116,0.0008012998,0.0006000664,0.0006379122,0.002296401],"category_scores_gemma":[0.008100478,0.0003632147,0.001371825,0.001158995,0.0003623863,0.0002767483,0.0006229304,0.0005430828,0.000204794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002765094,"about_ca_system_score_gemma":0.0003691637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004543046,"about_ca_topic_score_gemma":0.007105011,"domain_scores_codex":[0.9972411,0.001043355,0.0002788373,0.0008687119,0.0003613797,0.0002065319],"domain_scores_gemma":[0.9971451,0.001004762,0.0006576244,0.0008561528,0.0001817827,0.0001546342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009365494,0.00009488412,0.9811105,0.00004033509,0.001370747,0.0009035348,0.0001389925,0.0004752617,0.007824313,0.0004388129,0.0004262049,0.006240005],"study_design_scores_gemma":[0.0000782096,0.000255475,0.9874928,0.00001158586,0.001166302,0.004041943,0.0001950153,0.003192776,0.001590115,0.000932145,0.001027035,0.00001648381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942127,0.0005400073,0.003634586,0.00005706081,0.00001794529,0.0000522515,0.0006470677,0.00004802872,0.0007904202],"genre_scores_gemma":[0.9980464,0.00006499782,0.001238255,0.00002905089,0.000009468258,0.00001897489,0.0004562976,0.00001073097,0.0001257688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004543046,"threshold_uncertainty_score":0.01327884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1351681349351632,"score_gpt":0.4689671421908232,"score_spread":0.33379900725566,"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."}}