{"id":"W1600505187","doi":"10.1161/circ.130.suppl_2.16274","title":"Abstract 16274: Identification of Novel CAD Genetic Loci by 1000 Genomes-Based Imputation and a Non-Additive Discovery Screen","year":2014,"lang":"en","type":"article","venue":"Circulation","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heart Research Centre","funders":"","keywords":"Genome-wide association study; Imputation (statistics); Heritability; Genetic association; Single-nucleotide polymorphism; Genetics; Minor allele frequency; Indel; 1000 Genomes Project; Allele; Missing heritability problem; Medicine; Computational biology; Allele frequency; Biology; Missing data; Gene; Statistics; Genotype; Mathematics","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":[0.01137832,0.001498532,0.00352769,0.003898736,0.0008442095,0.002668364,0.002658463,0.001799483,0.0093858],"category_scores_gemma":[0.02586429,0.0009578153,0.004682367,0.008633645,0.0003765108,0.0008186439,0.001396599,0.001460229,0.002299877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004439161,"about_ca_system_score_gemma":0.00155129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003464004,"about_ca_topic_score_gemma":0.004777734,"domain_scores_codex":[0.9924469,0.00364718,0.0007635198,0.001609551,0.001205771,0.0003269989],"domain_scores_gemma":[0.9891116,0.007882163,0.0009319037,0.001288607,0.0005041306,0.0002815443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006799764,0.0008685446,0.5975336,0.005446408,0.05146214,0.007716827,0.000776149,0.03843219,0.03473676,0.005926121,0.05085335,0.1994482],"study_design_scores_gemma":[0.006381058,0.00189673,0.6656935,0.0009259352,0.04647967,0.007281534,0.0003333522,0.1854229,0.01662455,0.01754114,0.05104161,0.0003780731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5429026,0.01108811,0.2837645,0.00333815,0.000486219,0.001561594,0.1437512,0.007132305,0.005975218],"genre_scores_gemma":[0.7155286,0.002645535,0.1556853,0.001252222,0.000332024,0.001497904,0.1185178,0.001096479,0.003444078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137832,"threshold_uncertainty_score":0.060175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00571398454657163,"score_gpt":0.22056153889476,"score_spread":0.2148475543481884,"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."}}