{"id":"W2058500190","doi":"10.1007/s00439-005-1338-4","title":"Genome scan for quantitative trait loci influencing HDL levels: evidence for multilocus inheritance in familial combined hyperlipidemia","year":2005,"lang":"en","type":"article","venue":"Human Genetics","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute","keywords":"Quantitative trait locus; Biology; Genetics; Pleiotropy; Genetic linkage; Genome Scan; Genetic architecture; Pedigree chart; Linkage (software); Chromosome; Gene; Allele; Phenotype; Microsatellite","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":[0.001964275,0.001059397,0.0009119261,0.003085132,0.001397897,0.0008059519,0.001074911,0.00132303,0.006064367],"category_scores_gemma":[0.003886798,0.000485206,0.001293415,0.002231981,0.000752465,0.0003697847,0.0009662441,0.00119776,0.0002193498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178795,"about_ca_system_score_gemma":0.0006005081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009232188,"about_ca_topic_score_gemma":0.007960229,"domain_scores_codex":[0.9982426,0.0006970561,0.0001379969,0.0005094686,0.0002386884,0.0001741638],"domain_scores_gemma":[0.996352,0.002062994,0.0005198397,0.0002523075,0.0001978897,0.0006150238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006324166,0.0003366206,0.9120028,0.000105837,0.004711786,0.006518355,0.0008361982,0.0006911256,0.05613276,0.001038701,0.001275606,0.01002613],"study_design_scores_gemma":[0.0004391049,0.0003820394,0.9870195,0.00002312291,0.002134716,0.004863536,0.0002870874,0.001411367,0.002187961,0.0005235503,0.0006982738,0.00002960332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969904,0.0003735892,0.0008832001,0.0003759644,0.00001868825,0.000009292204,0.0005711275,0.00004954455,0.0007280588],"genre_scores_gemma":[0.9981869,0.00009341589,0.000919417,0.0001151608,0.00003218557,0.00001063202,0.000345035,0.00001884638,0.0002784854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009232188,"threshold_uncertainty_score":0.02028728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1506683055373619,"score_gpt":0.3819673196559968,"score_spread":0.2312990141186349,"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."}}