{"id":"W2020586665","doi":"10.1210/jc.2003-030553","title":"Genome-Wide Linkage Scan for the Metabolic Syndrome in the HERITAGE Family Study","year":2003,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"U.S. Public Health Service; NIH Clinical Center; National Institutes of Health; Université Laval; National Heart, Lung, and Blood Institute; University of Minnesota; National Center for Research Resources; American Heart Association","keywords":"Genetic linkage; Genetics; Genome Scan; Biology; Quantitative trait locus; Nuclear family; Phenotype; Linkage (software); Candidate gene; Gene; Family aggregation; Genome; Disease; Internal medicine; Medicine; Microsatellite; Allele","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":[0.001481379,0.0003578274,0.0005927597,0.001691472,0.0009364639,0.0005282014,0.0004705657,0.0004884164,0.003906814],"category_scores_gemma":[0.004450225,0.0002513087,0.0006067404,0.002059934,0.0002811707,0.000178714,0.0006479173,0.0006083573,0.0001679971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004989457,"about_ca_system_score_gemma":0.0007586306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02857288,"about_ca_topic_score_gemma":0.03026712,"domain_scores_codex":[0.9987051,0.000615328,0.00005697101,0.00029429,0.0002098145,0.0001184461],"domain_scores_gemma":[0.9986618,0.0004407957,0.0003386735,0.0001303487,0.0001496974,0.0002786971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009185902,0.0001201528,0.9716957,0.00006354001,0.001737756,0.00208888,0.0004977087,0.0003956369,0.00415545,0.0005249836,0.00239048,0.01541109],"study_design_scores_gemma":[0.00008849138,0.00008595762,0.9962192,0.00002386975,0.0003486862,0.001113158,0.0001109139,0.0003525091,0.000199441,0.0001732174,0.00127102,0.00001340956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948093,0.0009362195,0.0009811921,0.0002247998,0.00001348911,0.00004331483,0.001754928,0.00003020609,0.001206557],"genre_scores_gemma":[0.9962648,0.0003804996,0.001493083,0.00004718703,0.00001426116,0.00004092282,0.001298145,0.000008243832,0.0004530207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02857288,"threshold_uncertainty_score":0.05681312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05174578926998177,"score_gpt":0.3592831031317481,"score_spread":0.3075373138617664,"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."}}