{"id":"W3196798176","doi":"10.1371/journal.pgen.1009713","title":"Multitrait GWAS to connect disease variants and biological mechanisms","year":2021,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institute of Dental and Craniofacial Research; Lundbeckfonden; National Institutes of Health; Agence Nationale de la Recherche","keywords":"Genome-wide association study; Biology; Genetic association; Computational biology; Genetic architecture; Phenotype; DECIPHER; Genetics; Gene; Single-nucleotide polymorphism; 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":[0.008725655,0.0008634318,0.001309053,0.004161871,0.0007246113,0.002509707,0.00102356,0.0007940801,0.004451155],"category_scores_gemma":[0.0291133,0.0005264098,0.001887036,0.005482648,0.00114196,0.001347384,0.003107126,0.001715532,0.0004273527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005543129,"about_ca_system_score_gemma":0.001001076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290583,"about_ca_topic_score_gemma":0.003057309,"domain_scores_codex":[0.9925873,0.004672476,0.0004902758,0.001297784,0.000673558,0.0002787865],"domain_scores_gemma":[0.9715825,0.01676046,0.004569864,0.00578299,0.0008770055,0.0004272653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001376756,0.000221234,0.7905915,0.0007525483,0.01310352,0.001167278,0.0008506547,0.02805326,0.01358595,0.05064961,0.002468577,0.09717911],"study_design_scores_gemma":[0.0001455488,0.0006623029,0.6941979,0.0002441005,0.004081346,0.002409038,0.0007498998,0.08020538,0.004257414,0.2027573,0.01016108,0.0001288866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4331377,0.00861768,0.5416199,0.002945257,0.0002549828,0.0002641199,0.006056351,0.001613567,0.005490444],"genre_scores_gemma":[0.9334472,0.001288269,0.06154514,0.0007255602,0.0001777385,0.0001678464,0.001639464,0.0001673764,0.0008414169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008725655,"threshold_uncertainty_score":0.04614621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025065027407813,"score_gpt":0.2644778444119171,"score_spread":0.2342271941378389,"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."}}