{"id":"W2989237060","doi":"10.1002/gepi.22265","title":"Powerful rare variant association testing in a copula‐based joint analysis of multiple phenotypes","year":2019,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Univariate; Copula (linguistics); Genome-wide association study; Genetic association; Multivariate statistics; Phenotype; Computational biology; Type I and type II errors; Statistic; Biology; Statistical power; Statistics; Test statistic; Genetics; Statistical hypothesis testing; Mathematics; Single-nucleotide polymorphism; Econometrics; Genotype; 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":[0.01844073,0.0009736286,0.002074743,0.001791003,0.0004970048,0.001477412,0.001512512,0.0008850144,0.002186791],"category_scores_gemma":[0.0477339,0.0006598101,0.001958848,0.001569588,0.001395391,0.001371992,0.00190752,0.00188564,0.0004710464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000423597,"about_ca_system_score_gemma":0.001445207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127316,"about_ca_topic_score_gemma":0.001396094,"domain_scores_codex":[0.9891769,0.007702864,0.000327702,0.001660107,0.0008779091,0.0002544818],"domain_scores_gemma":[0.9384485,0.05283221,0.002835727,0.003203553,0.001986261,0.0006937825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002357787,0.00058434,0.1463879,0.001365521,0.006559712,0.0031139,0.0004957541,0.4628719,0.02501786,0.04981692,0.005999074,0.2954293],"study_design_scores_gemma":[0.0001356438,0.0002776849,0.01235515,0.00004533786,0.0002669014,0.0005812239,0.00004621885,0.9670097,0.003023566,0.01514276,0.001056493,0.00005933769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09728605,0.0009279121,0.8995765,0.0003274109,0.0001013172,0.0001225065,0.0002891157,0.0005333304,0.0008357626],"genre_scores_gemma":[0.7328222,0.0003766811,0.2649176,0.0003440866,0.0001179164,0.00026351,0.0004881559,0.0001477671,0.0005220929],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01844073,"threshold_uncertainty_score":0.09752506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022826210147216,"score_gpt":0.2790816270850318,"score_spread":0.2488533649835596,"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."}}