{"id":"W4382198943","doi":"10.1093/genetics/iyad119","title":"Characterization of direct and/or indirect genetic associations for multiple traits in longitudinal studies of disease progression","year":2023,"lang":"en","type":"article","venue":"Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Western University; Hospital for Sick Children; Public Health Ontario; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"University of Toronto; Canada Foundation for Innovation; Canadian Institutes of Health Research; Government of Ontario","keywords":"Biology; Single-nucleotide polymorphism; SNP; Genetic architecture; Quantitative trait locus; Genetics; Genome-wide association study; Genetic association; Random effects model; Proportional hazards model; Statistics; Internal medicine; Mathematics; Medicine; Gene; Meta-analysis; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002975739,0.0001036406,0.0002639273,0.00009927086,0.00004952621,0.000003110777,0.00007201601,0.0001024481,0.000001191172],"category_scores_gemma":[0.0009641357,0.00009244482,0.00005745667,0.0002130135,0.00007177945,0.000002241172,0.00007192243,0.0000263152,4.213135e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001188428,"about_ca_system_score_gemma":0.00006892488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001942337,"about_ca_topic_score_gemma":0.000113234,"domain_scores_codex":[0.9990338,0.00008881323,0.0003741223,0.0002287486,0.00008392613,0.0001905696],"domain_scores_gemma":[0.9993165,0.0001253769,0.000240232,0.0001212447,0.0001509407,0.00004569691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008751378,0.00006863693,0.7410663,0.0001125223,0.00007317439,4.636192e-7,0.0001859855,0.0004236923,0.2499432,0.000003083413,0.0001110147,0.007924384],"study_design_scores_gemma":[0.0005021257,0.0002792429,0.9697146,0.00003089803,0.00004185039,3.354221e-7,0.00006619953,0.0008754754,0.02789298,0.00008307371,0.0004174214,0.00009577464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973738,0.001331809,0.0003928288,0.00009682189,0.00007045768,0.0004106826,0.0003072621,0.000008034242,0.00000834579],"genre_scores_gemma":[0.9933549,0.003502797,0.002513605,0.0000159652,0.00006036039,0.0001094699,0.0003410991,0.00001507863,0.00008670082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2286483,"threshold_uncertainty_score":0.376979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05375349937890683,"score_gpt":0.3422809946349025,"score_spread":0.2885274952559957,"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."}}