{"id":"W2958068808","doi":"10.1186/s13059-019-1749-5","title":"Integrative analysis of vascular endothelial cell genomic features identifies AIDA as a coronary artery disease candidate gene","year":2019,"lang":"en","type":"article","venue":"Genome biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; Université de Montréal; Montreal Heart Institute","funders":"Common Fund; Institute of Genetics; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; Fondation Institut de Cardiologie de Montréal; Institut de Cardiologie de Montréal; Canada Excellence Research Chairs, Government of Canada; Heart and Stroke Foundation of Canada","keywords":"Biology; Genome-wide association study; Candidate gene; Genetics; Chromatin; Locus (genetics); Single-nucleotide polymorphism; Coronary artery disease; Gene; Bioinformatics; Internal medicine; Genotype; Medicine","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":[0.0002102984,0.0002620559,0.0002346033,0.0006996498,0.0002242575,0.000309106,0.0002786296,0.0002185207,0.002419182],"category_scores_gemma":[0.000236486,0.000120308,0.0004727463,0.0004963606,0.0002165583,0.000050089,0.0003593046,0.0004357788,0.0004272134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885053,"about_ca_system_score_gemma":0.0001777263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006634482,"about_ca_topic_score_gemma":0.001260056,"domain_scores_codex":[0.9998662,0.00001845538,0.00000739697,0.00005092168,0.00003537847,0.00002151603],"domain_scores_gemma":[0.9997874,0.00008827139,0.00004248775,0.00001942324,0.00001383612,0.00004867251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005659659,0.00009994923,0.01941318,0.00009898886,0.0001063339,0.0005238309,0.00007997593,0.0006341743,0.9637488,0.0005497056,0.0002595113,0.01391964],"study_design_scores_gemma":[0.0002346036,0.0009885603,0.5781108,0.00005757481,0.0007704347,0.00470661,0.0002570464,0.02020475,0.3750082,0.002091848,0.01751698,0.00005251023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784313,0.000480167,0.01685413,0.0001122663,0.00003225446,0.00003986512,0.002316707,0.0002542697,0.001478975],"genre_scores_gemma":[0.9818276,0.0001771427,0.01514672,0.00006700092,0.00001175611,0.00002486663,0.00200798,0.00003938379,0.000697728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002419182,"threshold_uncertainty_score":0.00809294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004710508224828769,"score_gpt":0.2322843708069113,"score_spread":0.2275738625820825,"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."}}