{"id":"W2766634454","doi":"10.1093/eurheartj/ehx568","title":"Epigenetics and precision medicine in cardiovascular patients: from basic concepts to the clinical arena","year":2017,"lang":"en","type":"review","venue":"European Heart Journal","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institutes of Health; National Health and Medical Research Council; Holcim Stiftung zur Förderung der Wissenschaftlichen Fortbildung; Medical Research Council; National Heart, Lung, and Blood Institute; Foundation for Cardiovascular Research","keywords":"Precision medicine; Medicine; Personalized medicine; Epigenetics; Population; Translational medicine; Disease; Bioinformatics; Risk analysis (engineering); Intensive care medicine; Genetics; Environmental health; Pathology; Gene; Biology","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":[0.001410356,0.0007583217,0.00131749,0.001749509,0.0004056629,0.001335883,0.001050076,0.002188562,0.002583093],"category_scores_gemma":[0.001830221,0.0002131093,0.0005073671,0.00156264,0.001292171,0.002315548,0.001148835,0.003175426,0.001080969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009689092,"about_ca_system_score_gemma":0.001766508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007432757,"about_ca_topic_score_gemma":0.001271244,"domain_scores_codex":[0.9995717,0.0001410986,0.00004664279,0.00006177781,0.0001475154,0.00003122333],"domain_scores_gemma":[0.9987487,0.0008691166,0.00007438564,0.00003206551,0.0001974595,0.00007832526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000658818,0.00005590378,0.0002385261,0.01541188,0.0001022659,0.0003001893,0.0001936852,0.000421177,0.001511046,0.01656209,0.03687225,0.9282652],"study_design_scores_gemma":[0.00001422299,0.00009650805,0.0007821324,0.0046016,0.00007038157,0.00160872,0.0001471356,0.0001422315,0.0003939059,0.01182226,0.9802943,0.00002656914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007475892,0.9967881,0.000307083,0.001599322,0.0004933275,0.000003094389,0.000008615755,0.000008972786,0.0007167068],"genre_scores_gemma":[0.0007601707,0.9973645,0.0003063534,0.0006280168,0.0005999071,0.000005834818,0.00001141304,0.000001705826,0.0003222566],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002583093,"threshold_uncertainty_score":0.008641303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482658852939909,"score_gpt":0.4312550044043687,"score_spread":0.2829891191103778,"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."}}