{"id":"W2090716675","doi":"10.1007/s00439-009-0626-9","title":"Identification of susceptibility genes for complex diseases using pooling-based genome-wide association scans","year":2009,"lang":"en","type":"article","venue":"Human Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Ontario Institute for Cancer Research; Montreal Children's Hospital; McGill University and Génome Québec Innovation Centre; Université de Montréal; Université Laval","funders":"Translational Genomics Research Institute; Génome Québec; Genome Canada; McGill University; Heart and Stroke Foundation of Canada","keywords":"Genome-wide association study; Genotyping; Single-nucleotide polymorphism; Biology; Genetic association; Pooling; Genetics; Computational biology; Genotype; Gene; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009496252,0.001114241,0.002154161,0.005737532,0.0008435746,0.00180194,0.001309864,0.0007184743,0.003677974],"category_scores_gemma":[0.01619234,0.0006169601,0.002773133,0.006810085,0.00071228,0.001195938,0.002151912,0.0007572034,0.0004841457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000324942,"about_ca_system_score_gemma":0.0008131597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005313253,"about_ca_topic_score_gemma":0.00524677,"domain_scores_codex":[0.9957078,0.002112291,0.0003688814,0.001058392,0.000472008,0.0002805258],"domain_scores_gemma":[0.99085,0.005164125,0.001150412,0.002021543,0.0004099535,0.0004040846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003325808,0.0002611364,0.8487228,0.0002918916,0.01248327,0.0009462318,0.0003980961,0.003969423,0.04060036,0.00110109,0.001179538,0.08672035],"study_design_scores_gemma":[0.0003127717,0.0007768315,0.9508347,0.0000376627,0.007797597,0.002379963,0.0003506759,0.02300984,0.006215894,0.006452336,0.001722844,0.0001088095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508852,0.001533638,0.04347855,0.0002439394,0.00003032847,0.00009906479,0.002112933,0.0003880088,0.001228354],"genre_scores_gemma":[0.9829428,0.0003856076,0.01419812,0.0000580314,0.00004150253,0.00007961607,0.001948256,0.00005447933,0.0002916006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009496252,"threshold_uncertainty_score":0.05022162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0388545687513269,"score_gpt":0.3205431204913579,"score_spread":0.281688551740031,"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."}}