{"id":"W6977640445","doi":"10.6084/m9.figshare.c.6586135","title":"Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University; Centre hospitalier universitaire de Québec; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Breast cancer; Gene; Identification (biology); Genetic association; Genome-wide association study; Disease; Candidate gene; Multiple comparisons problem","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":[0.008500325,0.0009488338,0.001049619,0.002134838,0.000751432,0.001657405,0.0008394783,0.000865038,0.003892324],"category_scores_gemma":[0.0206739,0.0002495923,0.002916531,0.002907379,0.000932051,0.0007684793,0.001447759,0.001354124,0.0002317704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328771,"about_ca_system_score_gemma":0.0005407064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002314012,"about_ca_topic_score_gemma":0.001756423,"domain_scores_codex":[0.9933308,0.003681645,0.0004839766,0.001617501,0.0005744909,0.0003115625],"domain_scores_gemma":[0.9737347,0.02086879,0.002536955,0.001870269,0.0004872186,0.0005020451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00195363,0.000141457,0.9412035,0.0002331865,0.007717613,0.001257727,0.0003244138,0.006307501,0.006836986,0.001659,0.001120533,0.03124443],"study_design_scores_gemma":[0.000296068,0.001193465,0.9019644,0.00009466359,0.005629425,0.00160713,0.0004710368,0.06756914,0.00448186,0.01361637,0.002993627,0.00008282447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687359,0.001397365,0.02647394,0.0003590691,0.000114085,0.00004620793,0.001396212,0.0003332935,0.001143901],"genre_scores_gemma":[0.9953129,0.0001050937,0.003722867,0.00009067958,0.00004679208,0.00002888195,0.0005433376,0.00002306377,0.0001263804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008500325,"threshold_uncertainty_score":0.04495454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2385168484779128,"score_gpt":0.4397471706768115,"score_spread":0.2012303221988987,"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."}}