{"id":"W635240148","doi":"10.1186/s12919-016-0048-3","title":"Joint analysis of multiple blood pressure phenotypes in GAW19 data by using a multivariate rare-variant association test","year":2016,"lang":"en","type":"article","venue":"BMC Proceedings","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University; Jewish General Hospital","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Univariate; Multivariate statistics; Multivariate analysis; Association test; Phenotype; Genetic association; Test (biology); Medicine; Genetics; Statistics; Biology; Internal medicine; Single-nucleotide polymorphism; Genotype; Mathematics; Gene","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":[0.02172816,0.0009919032,0.001735266,0.003614831,0.0006975397,0.001737615,0.00180392,0.001193629,0.005810697],"category_scores_gemma":[0.08022166,0.0003390287,0.0030619,0.00535951,0.001298435,0.001561875,0.001821033,0.002201568,0.0006151344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479589,"about_ca_system_score_gemma":0.001074296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001983371,"about_ca_topic_score_gemma":0.001813977,"domain_scores_codex":[0.9728857,0.01809693,0.001403546,0.003994405,0.002888175,0.0007312253],"domain_scores_gemma":[0.8594681,0.1221763,0.007366227,0.007217921,0.002186715,0.001584821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004142979,0.0005458519,0.7764758,0.0004331105,0.01045589,0.002162977,0.0004285855,0.0343377,0.01922469,0.01010191,0.004148058,0.1375425],"study_design_scores_gemma":[0.0005627522,0.002020035,0.4199009,0.00009387798,0.002260748,0.00324903,0.0004289532,0.5318797,0.0086269,0.02532783,0.005399392,0.0002499331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5241658,0.0005750165,0.4676191,0.0008439613,0.0001761137,0.0002153839,0.003183595,0.001413853,0.001807148],"genre_scores_gemma":[0.9142012,0.0001144129,0.08282793,0.0001446444,0.0001104658,0.0002524886,0.001525656,0.0002548159,0.000568283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02172816,"threshold_uncertainty_score":0.1149108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255043999578371,"score_gpt":0.2733289537476583,"score_spread":0.2407785137518746,"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."}}