{"id":"W2088493104","doi":"10.1194/jlr.m004325","title":"A genome-wide linkage scan identifies multiple quantitative trait loci for HDL-cholesterol levels in families with premature CAD and MI","year":2010,"lang":"en","type":"article","venue":"Journal of Lipid Research","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; U.S. Public Health Service; National Institutes of Health; National Key Research and Development Program of China; National Center for Research Resources; National Institute of General Medical Sciences; American Heart Association","keywords":"Quantitative trait locus; Genetics; Biology; Genome-wide association study; Genetic association; Linkage disequilibrium; Population; Internal medicine; Locus (genetics); Haplotype; Medicine; Gene; Single-nucleotide polymorphism; Allele; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002301625,0.0001055729,0.0002509762,0.0001955812,0.0001188677,0.000046651,0.0002037104,0.0002219666,0.000006956953],"category_scores_gemma":[0.002075784,0.00007953212,0.00006933645,0.0001219098,0.0002296186,0.00001091876,0.0000700182,0.0005521759,7.576119e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001709447,"about_ca_system_score_gemma":0.0002018435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005407483,"about_ca_topic_score_gemma":0.002542822,"domain_scores_codex":[0.998673,0.0002311693,0.0003595837,0.0002013298,0.0002089978,0.0003258935],"domain_scores_gemma":[0.998591,0.0004026233,0.0001911885,0.0001509277,0.0005614129,0.0001028532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003147806,0.0001078601,0.2148289,0.00009134212,0.0001455593,0.000005588675,0.001359678,0.0001790444,0.7796515,0.00002509549,0.001752004,0.001538608],"study_design_scores_gemma":[0.001521793,0.001043955,0.9780073,0.00003538303,0.00001165801,0.00004153941,0.002259979,0.0000879567,0.009100325,0.0002947216,0.00748154,0.0001138628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967713,0.0004585494,0.001114163,0.001161497,0.00009099634,0.0002608755,0.00003964913,0.000001349505,0.0001015921],"genre_scores_gemma":[0.9926791,0.0002492359,0.006270037,0.0000613803,0.0002776054,0.00002250511,0.00001408113,0.00001623643,0.0004098309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7705512,"threshold_uncertainty_score":0.3243226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015148254287042,"score_gpt":0.3593293563555277,"score_spread":0.3091778738126573,"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."}}