{"id":"W2091111091","doi":"10.1086/430133","title":"Quantitative Founder-Effect Analysis of French Canadian Families Identifies Specific Loci Contributing to Metabolic Phenotypes of Hypertension","year":2005,"lang":"en","type":"article","venue":"The American Journal of Human Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; University of Ottawa; Université du Québec à Chicoutimi; Cégep de Chicoutimi; Polytechnique Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Founder effect; Biology; Genetics; Bivariate analysis; Quantitative trait locus; Phenotype; Haplotype; Lineage (genetic); Evolutionary biology; Trait; Population; Linkage (software); Allele; Demography; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003077095,0.002473006,0.001347337,0.006589104,0.004634931,0.001541546,0.002596188,0.001396636,0.007165315],"category_scores_gemma":[0.006669212,0.0008195646,0.002458247,0.005427043,0.001655884,0.0003462926,0.001031013,0.001388102,0.0002312653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009392062,"about_ca_system_score_gemma":0.01011347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9033207,"about_ca_topic_score_gemma":0.9081427,"domain_scores_codex":[0.9957399,0.001395911,0.0002231024,0.001083388,0.0007491131,0.0008084933],"domain_scores_gemma":[0.9951535,0.002336318,0.0005260507,0.0003726574,0.0009637785,0.0006476738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003936624,0.0003194367,0.8981441,0.0002188746,0.003300301,0.01001353,0.005150141,0.002560069,0.02598248,0.005261907,0.003171312,0.04194129],"study_design_scores_gemma":[0.0001874692,0.0001349128,0.9884183,0.00007806222,0.0009657794,0.003070133,0.00064832,0.002073865,0.001064538,0.0004938688,0.002791035,0.00007383041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894751,0.001712366,0.003772024,0.0007028768,0.00006201774,0.00006092723,0.001738834,0.00009546083,0.00238027],"genre_scores_gemma":[0.9941353,0.0005707169,0.002778633,0.0001089556,0.00002686904,0.00003395117,0.000422028,0.00005770746,0.001865847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09667933,"threshold_uncertainty_score":0.1944973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427109907657856,"score_gpt":0.2939896861104445,"score_spread":0.2697185870338659,"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."}}