{"id":"W4411410983","doi":"10.1101/2025.06.17.25329345","title":"From aging to Alzheimer’s disease: concordant brain DNA methylation changes in late life","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; National Institute of Neurological Disorders and Stroke; Northern California Institute for Research and Education; H. Lundbeck A/S; Rush University; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"DNA methylation; Disease; DNA; Medicine; Neuroscience; Genetics; Biology; Psychology; Internal medicine; Gene","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":[0.002382056,0.0003846393,0.0006354761,0.0008782672,0.000260821,0.0006972781,0.0004272722,0.0003809814,0.001088219],"category_scores_gemma":[0.003690499,0.0002690884,0.002511621,0.001118879,0.0003568012,0.0002687782,0.0006383792,0.0004641949,0.00007018951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460287,"about_ca_system_score_gemma":0.0003213639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004142471,"about_ca_topic_score_gemma":0.008653957,"domain_scores_codex":[0.9986959,0.0004499281,0.0001055203,0.0005463687,0.000123744,0.00007858763],"domain_scores_gemma":[0.9979372,0.0008925735,0.0005422655,0.0003505784,0.0001654828,0.0001119271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00216426,0.00002274934,0.9186909,0.001337899,0.04311649,0.0002422659,0.000266324,0.0007118718,0.005284843,0.0003634892,0.0009263567,0.02687249],"study_design_scores_gemma":[0.00008903164,0.0001887854,0.9715286,0.0002074417,0.02295419,0.0003279449,0.0001082283,0.0009342487,0.0008877457,0.0009587699,0.001800939,0.00001414002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246576,0.06773005,0.003774751,0.0006023202,0.00009383556,0.00002603958,0.001909699,0.00006962501,0.001136079],"genre_scores_gemma":[0.9963325,0.002460634,0.0005487265,0.0001569623,0.00002942471,0.00001008669,0.0003415204,0.00001115848,0.0001089784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004142471,"threshold_uncertainty_score":0.01259768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908255036128493,"score_gpt":0.3132931984297406,"score_spread":0.2842106480684556,"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."}}