{"id":"W4402184450","doi":"10.1182/blood.2023022596","title":"Whole-genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles","year":2024,"lang":"en","type":"article","venue":"Blood","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Common Fund; National Institute on Minority Health and Health Disparities; NIH Office of the Director; National Institute of Mental Health; National Heart, Lung, and Blood Institute; Université de Bordeaux; Novo Nordisk; Office of Research and Development; Instituto de Salud Carlos III; U.S. Department of Veterans Affairs; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Biology; Genetics; Population; Genome; Genome-wide association study; Fibrinogen; Computational biology; Medicine; Gene; Single-nucleotide polymorphism; Genotype; Biochemistry","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":[0.0009374146,0.0004715142,0.0004300643,0.001055208,0.0003490977,0.0006261661,0.0002930567,0.0005499751,0.002164309],"category_scores_gemma":[0.00111255,0.0002075545,0.0009700726,0.002008148,0.000322825,0.0001943665,0.0004054729,0.0004359345,0.0001740964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859091,"about_ca_system_score_gemma":0.0002454233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002926777,"about_ca_topic_score_gemma":0.003047221,"domain_scores_codex":[0.9994018,0.0001877593,0.00004743096,0.0002299228,0.00007304112,0.0000600974],"domain_scores_gemma":[0.9993204,0.0002809851,0.000180587,0.000101567,0.00006189318,0.00005451458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001517542,0.0000442051,0.9181989,0.0001465056,0.005561843,0.0009910014,0.0003052888,0.001255153,0.05363414,0.0003978251,0.000843189,0.01710452],"study_design_scores_gemma":[0.0000322038,0.00007498006,0.9943131,0.00001411713,0.001176337,0.0006377391,0.00008642284,0.001447942,0.001288319,0.0002995081,0.000619096,0.00001019065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993719,0.001294763,0.003385919,0.0001424466,0.00001522075,0.000007143423,0.0009193566,0.00004516681,0.0004710487],"genre_scores_gemma":[0.9983732,0.0001655137,0.0007581713,0.00005304256,0.00001173184,0.000006008718,0.0003803186,0.00001180337,0.0002402278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002926777,"threshold_uncertainty_score":0.007240295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007831885142606352,"score_gpt":0.2319033029866308,"score_spread":0.2240714178440245,"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."}}