{"id":"W2891766039","doi":"10.1016/j.jdiacomp.2018.09.003","title":"Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method","year":2018,"lang":"en","type":"article","venue":"Journal of Diabetes and its Complications","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Zhengzhou University; National Institute of General Medical Sciences; National Institute of Mental Health; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Foundation for Dietetic Research","keywords":"Single-nucleotide polymorphism; Genome-wide association study; Genetic association; Type 2 diabetes; Disease; Genetics; Trait; Medicine; Phenotype; Coronary artery disease; Computational biology; Biology; Bioinformatics; Diabetes mellitus; Gene; Genotype; Internal medicine; Computer science","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":[0.00183073,0.001073519,0.000808039,0.00437708,0.0008114772,0.0009143532,0.001066243,0.001616033,0.006797136],"category_scores_gemma":[0.005185495,0.0003856781,0.002088573,0.002283684,0.0004654342,0.0003319071,0.0007049967,0.0008678735,0.0007251432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328444,"about_ca_system_score_gemma":0.000358442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002883669,"about_ca_topic_score_gemma":0.003896201,"domain_scores_codex":[0.9977273,0.0006321171,0.0003297633,0.0007713073,0.0003554466,0.0001840489],"domain_scores_gemma":[0.996816,0.001559513,0.0007607652,0.0003686367,0.0002117706,0.000283438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005639694,0.0003443751,0.792223,0.0002358925,0.002040226,0.009630238,0.000567895,0.0009785261,0.1500752,0.001790445,0.001005831,0.03546877],"study_design_scores_gemma":[0.0004686521,0.0006626561,0.9361609,0.0001074455,0.00197213,0.02248111,0.0002551431,0.007416641,0.02425378,0.001080167,0.005010582,0.0001307725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837266,0.0008561909,0.01145701,0.0002169233,0.0001119674,0.00005186178,0.001673125,0.0001843532,0.001722035],"genre_scores_gemma":[0.9894989,0.0001136895,0.008769843,0.0000893283,0.00004630642,0.00003179296,0.0005739034,0.00003817525,0.00083811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006797136,"threshold_uncertainty_score":0.0227387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111228936552638,"score_gpt":0.277328257751542,"score_spread":0.2562159683860156,"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."}}