{"id":"W1965771219","doi":"10.1159/000363443","title":"Using Gene Genealogies to Detect Rare Variants Associated with Complex Traits","year":2014,"lang":"en","type":"article","venue":"Human Heredity","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; McGill University; Jewish General Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Tree (set theory); Statistic; Population; Genetics; Haplotype; Genetic association; Genetic variation; Evolutionary biology; Computational biology; Gene; Statistics; Allele; Single-nucleotide polymorphism; Genotype; Mathematics; Medicine","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":[0.006508665,0.0002571133,0.0004120655,0.002880297,0.0002831125,0.0007088177,0.0005786496,0.0006018141,0.0006715431],"category_scores_gemma":[0.0363497,0.0001658687,0.0004617775,0.001607477,0.001013012,0.001052667,0.0006735191,0.0005411603,0.00008630372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000451148,"about_ca_system_score_gemma":0.0005200015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001949988,"about_ca_topic_score_gemma":0.001888668,"domain_scores_codex":[0.9980949,0.001250538,0.0001206032,0.0003156109,0.0001690615,0.00004921852],"domain_scores_gemma":[0.9405042,0.05205331,0.004189936,0.001637041,0.001094022,0.000521508],"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":[0.0006392038,0.0001394924,0.7395347,0.0001877254,0.0008641513,0.0003431739,0.0005702597,0.1628032,0.005154558,0.01221491,0.0006991787,0.07684943],"study_design_scores_gemma":[0.000114069,0.0004012873,0.1507786,0.00006302981,0.0002312661,0.0008575267,0.0002778984,0.8073385,0.004147948,0.03428786,0.001412061,0.00009003805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8937078,0.0003621646,0.104702,0.0001207787,0.00001714101,0.00003225375,0.0003553852,0.000186655,0.0005157072],"genre_scores_gemma":[0.975826,0.00007787845,0.02373575,0.0000210641,0.000008130156,0.00001999626,0.0002428588,0.00001519852,0.00005316494],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006508665,"threshold_uncertainty_score":0.0344215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08093057822295222,"score_gpt":0.3092738918425877,"score_spread":0.2283433136196355,"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."}}