{"id":"W6944399604","doi":"10.17863/cam.41124","title":"Genetically predicted levels of DNA methylation biomarkers and breast cancer risk: data from 228,951 women of European descent","year":2019,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Ministero dello Sviluppo Economico; National Institutes of Health; Vanderbilt University Medical Center; Cancer Research UK; Government of Canada; Fondation du cancer du sein du Québec; Vanderbilt University; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Canadian Institutes of Health Research; Genome Canada; European Commission","keywords":"DNA methylation; Breast cancer; CpG site; Methylation; Cancer; Framingham Heart Study","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001390955,0.0003383887,0.0005320201,0.0006445226,0.0003012352,0.0003007534,0.0005228013,0.0005337704,0.00162712],"category_scores_gemma":[0.003535128,0.0002621868,0.0005895239,0.001024444,0.0002764761,0.0001848112,0.0004712649,0.0002714979,0.000392261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366508,"about_ca_system_score_gemma":0.0002315828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010625,"about_ca_topic_score_gemma":0.008082839,"domain_scores_codex":[0.9989991,0.0003665802,0.000119065,0.0003200905,0.0001267794,0.00006832113],"domain_scores_gemma":[0.9984479,0.0006518189,0.0003579752,0.0003021389,0.0001174481,0.0001225921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003154301,0.00004178572,0.9954646,0.00002005186,0.0002261309,0.0001020301,0.00009669613,0.0003487527,0.0007938797,0.00002434277,0.0001951701,0.002371071],"study_design_scores_gemma":[0.00003152,0.0001318036,0.9975587,0.000006779129,0.0001075401,0.0003317849,0.00008858316,0.000873761,0.000316305,0.00005096211,0.0004946658,0.000007498346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960061,0.0001285985,0.0005374147,0.00001820264,0.000002042625,0.00001373172,0.003088155,0.000009485315,0.0001964437],"genre_scores_gemma":[0.9939221,0.00008868446,0.0006329265,0.00002151663,0.000004241892,0.00004506533,0.005068513,0.000007099484,0.0002098429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010625,"threshold_uncertainty_score":0.02009481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426845151523991,"score_gpt":0.2218255614392777,"score_spread":0.2075571099240378,"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."}}