{"id":"W2890183566","doi":"10.1038/s41397-018-0049-x","title":"Genome-wide association analysis of common genetic variants of resistant hypertension","year":2018,"lang":"en","type":"article","venue":"The Pharmacogenomics Journal","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; U.S. Department of Health and Human Services; National Institutes of Health; National Human Genome Research Institute","keywords":"Internal medicine; Trandolapril; Odds ratio; Medicine; Genome-wide association study; Blood pressure; Biology; Gene; Single-nucleotide polymorphism; Genetics; Genotype","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":[0.001489874,0.0004481567,0.0004865062,0.001321829,0.0005749401,0.0007707326,0.000573498,0.0008788728,0.001906064],"category_scores_gemma":[0.002856386,0.0003856301,0.001255859,0.001915169,0.0004501398,0.0003408273,0.0005548391,0.0009708548,0.0001738784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786332,"about_ca_system_score_gemma":0.0003397655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004306829,"about_ca_topic_score_gemma":0.004528643,"domain_scores_codex":[0.9981118,0.0009192672,0.0001749735,0.0004489445,0.0001929239,0.0001520984],"domain_scores_gemma":[0.9981546,0.0008039146,0.0004618083,0.0002352982,0.0001379063,0.0002064344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002847175,0.0001889908,0.9662093,0.00005093177,0.00368303,0.0009943499,0.0002299747,0.0004478554,0.01644135,0.0004502435,0.0002909027,0.008165766],"study_design_scores_gemma":[0.00005783572,0.0001559149,0.996187,0.000005737844,0.0008705285,0.0005956465,0.0001062196,0.000943874,0.0005727932,0.0002327836,0.0002609543,0.00001076272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978989,0.000597163,0.0007337576,0.0001167145,0.00002051592,0.000004146432,0.0001940417,0.00001769828,0.0004171021],"genre_scores_gemma":[0.9993235,0.00010096,0.0003096245,0.00001733102,0.00001594075,0.000002341014,0.00008827185,0.000005380484,0.0001366959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004306829,"threshold_uncertainty_score":0.008563519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999364666448566,"score_gpt":0.2807830298367459,"score_spread":0.2607893831722602,"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."}}