{"id":"W3103109527","doi":"10.1101/2020.11.14.382796","title":"Leveraging Hardy–Weinberg disequilibrium for association testing in case-control studies","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Statistics; Hardy–Weinberg principle; Genotyping; Association (psychology); Genetic association; Test statistic; Population; Population stratification; Statistic; SNP; Disequilibrium; Genetics; Allele frequency; Allele; Econometrics; Mathematics; Biology; Statistical hypothesis testing; Genotype; Demography; Medicine; Single-nucleotide polymorphism; Psychology","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":[0.1046381,0.00137942,0.002553036,0.003309574,0.0007284096,0.002987026,0.004693306,0.003119092,0.002925844],"category_scores_gemma":[0.3205893,0.001025354,0.00232256,0.004204269,0.00420155,0.00404937,0.003721969,0.004213981,0.0006949287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008974086,"about_ca_system_score_gemma":0.002000817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583311,"about_ca_topic_score_gemma":0.001140586,"domain_scores_codex":[0.8680084,0.1140523,0.003365815,0.00645184,0.007578108,0.0005436518],"domain_scores_gemma":[0.7361673,0.2359733,0.008133542,0.01507633,0.003767522,0.0008820923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007936731,0.0005120143,0.05713123,0.001946468,0.005335309,0.002466309,0.001341909,0.2189819,0.006624981,0.2751215,0.007204564,0.42254],"study_design_scores_gemma":[0.0002781506,0.0005695503,0.006155512,0.0002259733,0.0004018115,0.0008470265,0.0001149337,0.6223872,0.003184422,0.359162,0.006537968,0.0001354514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003789033,0.0002737918,0.9948052,0.0003369629,0.00009328018,0.0001162661,0.00005656946,0.0002252448,0.0003036862],"genre_scores_gemma":[0.1952079,0.000380068,0.8023432,0.0005323049,0.0002694623,0.0005975601,0.0001561706,0.0001658592,0.0003473374],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1046381,"threshold_uncertainty_score":0.5533857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739396700894393,"score_gpt":0.2686108734194849,"score_spread":0.231216906410541,"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."}}