{"id":"W7119308932","doi":"","title":"Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas","year":2024,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Institute on Minority Health and Health Disparities; National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; Kaiser Foundation Research Institute; Ministério da Saúde; Manchester Biomedical Research Centre; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; NHLBI Division of Intramural Research; Financiadora de Estudos e Projetos; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Hankuk University of Foreign Studies; Canadian Institutes of Health Research; National Institute of Dental and Craniofacial Research; Andrea and Charles Bronfman Philanthropies; University of Washington; University of Minnesota; National Center on Minority Health and Health Disparities; National Institute for Health and Care Research; National Institutes of Health; San Diego State University; National Heart, Lung, and Blood Institute; University of Miami; Northwestern University; Jackson State University; British Heart Foundation; Mississippi State Department of Health; Kidney Research UK; National Cancer Institute; Office of Dietary Supplements; U.S. Department of Health and Human Services","keywords":"Effector; Genome-wide association study; Population; Genetic association; Kidney disease; Gene; Renal function; Transcriptome; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001583816,0.0003867552,0.0004973522,0.000947504,0.0005142076,0.0006695968,0.0003085507,0.0004274485,0.001072899],"category_scores_gemma":[0.003368346,0.0002067365,0.0008440426,0.001881637,0.0003200245,0.0002481972,0.0006696784,0.0004740942,0.00008371616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652606,"about_ca_system_score_gemma":0.0002304116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00752254,"about_ca_topic_score_gemma":0.006464393,"domain_scores_codex":[0.9992512,0.0003208946,0.00005215943,0.0002351908,0.00005705791,0.00008341574],"domain_scores_gemma":[0.9987599,0.0005055932,0.0003402843,0.0001825436,0.00009308025,0.0001186433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002823229,0.00001434872,0.9939926,0.00002195208,0.00102059,0.0001214844,0.0001265271,0.0001222718,0.001423699,0.0000834518,0.000106747,0.00268387],"study_design_scores_gemma":[0.00001787193,0.00005071115,0.9982092,0.00001107532,0.0005936599,0.000171509,0.000131099,0.0003400231,0.0001487317,0.0001101735,0.0002119958,0.000003816194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979315,0.0008604605,0.0004534451,0.00009323555,0.000006124747,0.000004959706,0.0004248168,0.000007747878,0.0002177472],"genre_scores_gemma":[0.9990498,0.0002517632,0.0003224861,0.00003530878,0.00000775191,0.000005458183,0.0002639583,0.000003699638,0.00005978686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00752254,"threshold_uncertainty_score":0.01495755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017311895026907,"score_gpt":0.2459955574318219,"score_spread":0.2258224384815528,"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."}}