{"id":"W2141010693","doi":"10.1093/bioinformatics/btm217","title":"Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations","year":2007,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Wellcome Trust; Microsoft Research","keywords":"Biology; Single-nucleotide polymorphism; Haplotype; Genetics; Genetic variation; Genetic association; Phenotype; Copy-number variation; Tag SNP; Quantitative trait locus; Genotype; Gene; Computational biology; Genome","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":[0.007019529,0.0003477451,0.0007996834,0.0009659279,0.000389657,0.0009364456,0.0009145963,0.000839928,0.001853572],"category_scores_gemma":[0.0261373,0.0005176574,0.0006503822,0.000993069,0.001247172,0.0008620039,0.0009571156,0.001037881,0.0002382951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005684234,"about_ca_system_score_gemma":0.00066996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004959157,"about_ca_topic_score_gemma":0.004704673,"domain_scores_codex":[0.9973054,0.001786351,0.00009163638,0.0005884331,0.0001460937,0.00008198556],"domain_scores_gemma":[0.9761066,0.02093217,0.001433593,0.0009371684,0.0003043442,0.0002861103],"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":[0.001015029,0.0001623914,0.5735598,0.0003411482,0.001315871,0.0006553754,0.0006768638,0.2808787,0.004925639,0.03509674,0.001715688,0.0996568],"study_design_scores_gemma":[0.0001298506,0.000139792,0.1413061,0.00007081046,0.0003110784,0.0006408345,0.0001061665,0.7211789,0.001124026,0.1333745,0.001544827,0.00007311886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5840809,0.001499186,0.4108221,0.001288878,0.00003761124,0.0000696971,0.000714722,0.0002822983,0.00120454],"genre_scores_gemma":[0.9665487,0.0006516682,0.03105288,0.0002261858,0.00006368379,0.00009384025,0.0005906542,0.00003700687,0.0007353812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007019529,"threshold_uncertainty_score":0.03712326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139728308580016,"score_gpt":0.2575955666381467,"score_spread":0.2461982835523465,"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."}}