{"id":"W3127175417","doi":"10.1038/s41525-021-00174-z","title":"Convergence of biomarkers and risk factor trait loci of coronary artery disease at 3p21.31 and HLA region","year":2021,"lang":"en","type":"article","venue":"npj Genomic Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Government of Canada; Compute Canada","keywords":"SNP; Single-nucleotide polymorphism; Biology; Human leukocyte antigen; Locus (genetics); Coronary artery disease; Quantitative trait locus; Genome-wide association study; Genetics; Disease; Risk factor; Expression quantitative trait loci; Methylation; Computational biology; Bioinformatics; Oncology; Gene; Internal medicine; Medicine; Antigen","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":[0.0004074164,0.0003320609,0.0005712343,0.001278357,0.0003534721,0.0004665614,0.0002238618,0.0004414772,0.003658392],"category_scores_gemma":[0.001167795,0.0001580946,0.0005752737,0.001130272,0.0001994136,0.0002088877,0.0004428971,0.0004917328,0.000406146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078672,"about_ca_system_score_gemma":0.0002502743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295828,"about_ca_topic_score_gemma":0.00133444,"domain_scores_codex":[0.9995838,0.00009205996,0.00002664757,0.0001350628,0.0001075333,0.00005496402],"domain_scores_gemma":[0.999135,0.00033056,0.0002875117,0.00007825131,0.00007256468,0.00009621312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001680872,0.0001119427,0.5202243,0.0002181042,0.0006792366,0.002974121,0.0004247718,0.001550413,0.4204617,0.0008414662,0.0004328191,0.05040032],"study_design_scores_gemma":[0.00003299111,0.0002254064,0.9683211,0.00002195696,0.0002042611,0.003720828,0.0001285869,0.002770514,0.02100426,0.001248675,0.00230244,0.00001909102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901639,0.0009556996,0.006801678,0.0001378537,0.00001383491,0.0000275841,0.0009238309,0.00007663324,0.0008991428],"genre_scores_gemma":[0.9934607,0.0002759862,0.004585342,0.00006115946,0.00001538563,0.0000334531,0.00088684,0.00001512999,0.0006660304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003658392,"threshold_uncertainty_score":0.0122385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478959574062889,"score_gpt":0.2409311281128946,"score_spread":0.2261415323722657,"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."}}