{"id":"W3171869887","doi":"10.1101/2021.01.20.21249985","title":"Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"Norges Forskningsråd","keywords":"Single-nucleotide polymorphism; SNP; Genetic genealogy; Ancestry-informative marker; Population stratification; Hazard ratio; Biology; Demography; Proportional hazards model; Genotype; Genetics; Medicine; Internal medicine; Gene; Population; Confidence interval","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":[0.002994614,0.0004457023,0.0003928755,0.0007956586,0.0003560446,0.0008572429,0.0004079906,0.0003307579,0.002637825],"category_scores_gemma":[0.006728863,0.0001640058,0.001038025,0.00103213,0.0003733932,0.0004134873,0.0008360656,0.0005570846,0.0002485377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000205363,"about_ca_system_score_gemma":0.0002979622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00394473,"about_ca_topic_score_gemma":0.003359293,"domain_scores_codex":[0.9990163,0.000522691,0.00004672463,0.0002300516,0.00008767471,0.0000966029],"domain_scores_gemma":[0.9968105,0.001734458,0.0005749781,0.0005430532,0.0001901126,0.0001468364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004822052,0.00002770214,0.9674754,0.00003220671,0.0006276983,0.0001076427,0.0001105253,0.0124656,0.002287365,0.000610511,0.0003905495,0.01538279],"study_design_scores_gemma":[0.00003818958,0.0001443885,0.8776025,0.00002348289,0.0003297809,0.0003481397,0.0001358389,0.1156208,0.002218322,0.002467923,0.001037966,0.00003281713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901338,0.0001727428,0.008531123,0.0001030528,0.000006386369,0.000009905129,0.0006653208,0.00005586167,0.000321758],"genre_scores_gemma":[0.9981644,0.00004064304,0.001226779,0.00001214782,0.000006061055,0.000004885825,0.0004324793,0.00001046514,0.0001022184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00394473,"threshold_uncertainty_score":0.01583719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199290428137274,"score_gpt":0.2881626072998474,"score_spread":0.2461697030184747,"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."}}