{"id":"W4387142583","doi":"10.1016/j.cell.2023.08.040","title":"Epigenomic dissection of Alzheimer’s disease pinpoints causal variants and reveals epigenome erosion","year":2023,"lang":"en","type":"article","venue":"Cell","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Human Genome Research Institute; National Institute on Drug Abuse; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute of Mental Health; Russian Science Foundation; Cure Alzheimer's Fund; National Institute on Aging; National Institutes of Health; National Science Foundation","keywords":"Epigenome; Biology; Epigenomics; Enhancer; Transcriptome; Genetics; Gene; Epigenetics; Computational biology; Gene regulatory network; Neuroscience; Transcription factor; Gene expression; DNA methylation","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":[],"consensus_categories":[],"category_scores_codex":[0.0002191636,0.0001033959,0.0001124891,0.00005779783,0.00006774781,0.00001088275,0.00006189856,0.00008181502,0.00001682889],"category_scores_gemma":[0.00003622613,0.0001046297,0.00004666614,0.00009998812,0.00004206489,0.000003198645,0.00008407771,0.00003737988,0.00002362795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005692619,"about_ca_system_score_gemma":0.0000319871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001853153,"about_ca_topic_score_gemma":0.00000507392,"domain_scores_codex":[0.9992318,0.00005332828,0.000199085,0.0002697163,0.00008220226,0.000163914],"domain_scores_gemma":[0.9995047,0.00001117549,0.0000899424,0.0002354512,0.00004278042,0.0001159613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003540399,0.00002810565,0.01145964,0.00002945142,0.00001206026,0.000002468405,0.0000430074,0.00008494296,0.9875461,0.00001212864,0.0001293165,0.0006173637],"study_design_scores_gemma":[0.0002775214,0.0001239479,0.4053342,0.00001184364,0.00004098539,3.520747e-7,0.00002285496,0.000112458,0.5925875,0.0006380641,0.0007161917,0.0001340829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952514,0.003452682,0.0004852627,0.00003794244,0.0001788593,0.0001688829,0.0000379836,0.00001276109,0.0003742195],"genre_scores_gemma":[0.9970898,0.001916892,0.0001194299,0.00001575334,0.0001103454,0.000009430049,0.0002191452,0.00002085868,0.0004983241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949586,"threshold_uncertainty_score":0.4266675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899476275623367,"score_gpt":0.2644975392155078,"score_spread":0.2455027764592742,"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."}}