{"id":"W1992657963","doi":"10.1111/j.1529-8817.2005.00213.x","title":"Statistical Methods for the Analysis of Genetic Association Studies","year":2005,"lang":"en","type":"article","venue":"Annals of Human Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genetic association; Association (psychology); Genetics; Biology; Evolutionary biology; Statistical analysis; Computational biology; Statistics; Mathematics; Genotype; Psychology; Single-nucleotide polymorphism; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319259,0.0001149064,0.0003955924,0.00008414209,0.0001019224,0.000005033588,0.0002034386,0.0001339161,0.00002199295],"category_scores_gemma":[0.001383451,0.00009105853,0.0002505247,0.0001749238,0.0001158971,0.000001135751,0.00007738759,0.000044817,7.803045e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001186883,"about_ca_system_score_gemma":0.00003387046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001034013,"about_ca_topic_score_gemma":0.0001079287,"domain_scores_codex":[0.9986312,0.0002396174,0.0005739029,0.000211377,0.0001110269,0.0002328493],"domain_scores_gemma":[0.9977401,0.0008059079,0.0004689171,0.00034066,0.0006089431,0.00003550516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001065014,0.0004606723,0.4330628,0.0001205734,0.02912588,2.109238e-7,0.001220612,0.06441654,0.1546608,0.001899437,0.08636931,0.2285567],"study_design_scores_gemma":[0.0004044837,0.0006958013,0.8896335,0.000005314494,0.002458579,4.287093e-7,0.0003475788,0.007803981,0.0560121,0.002275376,0.04012566,0.0002372202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8697124,0.0167812,0.111509,0.001355815,0.00008987602,0.0002823089,0.0001566739,0.000004349649,0.0001083972],"genre_scores_gemma":[0.9018403,0.003487726,0.09348963,0.0004863425,0.0001691572,0.00003474006,0.00008773322,0.00001311686,0.000391314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4565707,"threshold_uncertainty_score":0.3713259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196123382124523,"score_gpt":0.4852117100838845,"score_spread":0.3655993718714322,"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."}}