{"id":"W4383645880","doi":"10.1101/2023.07.06.23292311","title":"Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies <i>LRRC4C, LHX5-AS1</i> and nominates ancestry-specific loci <i>PTPRK</i> , <i>GRB14</i> , and <i>KIAA0825</i> as novel risk loci for Alzheimer’s disease: the Alzheimer’s Disease Genetics Consortium","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; National Institutes of Health; H. Lundbeck A/S; Genentech; IXICO; Universitat de Barcelona; Meso Scale Diagnostics; Medical Research Council; Hersenstichting; Bristol-Myers Squibb; North Bristol NHS Trust; Eisai; Bundesministerium für Bildung und Forschung; University of Pennsylvania; Newcastle University; Biogen; BioClinica; U.S. Department of Defense; Eli Lilly and Company; Alzheimer's Research Trust; F. Hoffmann-La Roche; Universität des Saarlandes; Stichting MS Research; Alzheimer's Association","keywords":"Biology; Genome; Computational biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002274617,0.001053682,0.002281669,0.0002739273,0.0005345872,0.0002033998,0.001137467,0.0007263675,0.00003775884],"category_scores_gemma":[0.001004786,0.0008649399,0.001996602,0.0004672916,0.001303718,0.00001661058,0.001670629,0.0005988404,0.00001079866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002248584,"about_ca_system_score_gemma":0.0003599485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001599252,"about_ca_topic_score_gemma":0.0002942432,"domain_scores_codex":[0.993975,0.0006408556,0.001727133,0.002204792,0.000523455,0.0009287838],"domain_scores_gemma":[0.9938627,0.0009471233,0.002026279,0.002020427,0.0005431151,0.0006003617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002657307,0.0005061182,0.8137597,0.000324653,0.1510899,0.00001227627,0.0003753233,0.01585386,0.006669518,0.00005755899,0.01045918,0.0006261517],"study_design_scores_gemma":[0.001164766,0.0001206705,0.7420855,0.00002051319,0.2219113,0.000003450095,0.0003091646,0.001334772,0.002684105,0.001152369,0.02793778,0.001275678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7211387,0.2553798,0.005657546,0.00227792,0.0005256637,0.002040929,0.01290226,0.00005015471,0.00002705481],"genre_scores_gemma":[0.9404602,0.04776148,0.004508397,0.001238737,0.0004176665,0.001161054,0.003854597,0.0001640883,0.0004337495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2193216,"threshold_uncertainty_score":0.9993801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1328140658070583,"score_gpt":0.3391501713299888,"score_spread":0.2063361055229304,"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."}}