{"id":"W7117414465","doi":"10.64898/2025.12.23.25342890","title":"Shared genetic architecture of brain age gap across 30 cohorts worldwide","year":2025,"lang":"en","type":"article","venue":"medRxiv","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Institute of Mental Health; NIHR Maudsley Biomedical Research Centre; National Institutes of Health; National Center for Research Resources; NordForsk; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Department of Health and Social Care; National Institute for Health and Care Research; Fundação de Amparo à Pesquisa do Estado de São Paulo; Agencia Estatal de Investigación; Norges Forskningsråd; Ministerio de Ciencia, Innovación y Universidades","keywords":"Genome-wide association study; Genetic architecture; Normative; Neuroimaging; Association (psychology); Genetic association; Variance (accounting); Genetic variants","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":[0.001715529,0.0004382908,0.0005787362,0.001164041,0.0004946325,0.0007674456,0.0004063238,0.000526142,0.001919457],"category_scores_gemma":[0.003509273,0.0003177411,0.0008583079,0.001334412,0.0006307662,0.0003855445,0.001543609,0.0006632231,0.000158081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002144395,"about_ca_system_score_gemma":0.0002611323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005946448,"about_ca_topic_score_gemma":0.00687158,"domain_scores_codex":[0.9985796,0.0003366377,0.0001031912,0.000721044,0.000141626,0.0001178487],"domain_scores_gemma":[0.998437,0.0004661082,0.0005029386,0.0003488461,0.0001306187,0.0001144439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005758424,0.00003929801,0.9783643,0.00005783374,0.001554039,0.0004958129,0.0008415382,0.0006114974,0.004749977,0.00102631,0.0006026535,0.01108094],"study_design_scores_gemma":[0.00002197256,0.00006810889,0.9965817,0.0000186494,0.0002842771,0.0004881525,0.0001841042,0.0006858945,0.0002503235,0.0009652643,0.0004397564,0.00001170728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970474,0.000448405,0.001385844,0.0001155563,0.000009145629,0.000009720757,0.0006282954,0.00002569675,0.0003299448],"genre_scores_gemma":[0.9983885,0.0001552863,0.0005887743,0.00004046183,0.000007568985,0.00001508129,0.0006483206,0.00001481048,0.0001411306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005946448,"threshold_uncertainty_score":0.01182371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179401858508427,"score_gpt":0.2896644970027737,"score_spread":0.2778704784176895,"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."}}