Evidence map›Paper›PMID 41044200›Full record

ArticleNature aging2025

Genome-wide analysis of brain age identifies 59 associated loci and unveils relationships with mental and physical health.

Philippe Jawinski, Helena Forstbach, Holger Kirsten, Frauke Beyer, Arno Villringer, A Veronica Witte, Markus Scholz, Stephan Ripke, Sebastian Markett

Abstract read
In one paragraph

Article in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Medea: An omics AI agent for therapeutic discovery.bioRxiv : the preprint server for biology · 2026
    Article
  5. Shared genetic architecture of brain age gap across 30 cohorts worldwide.medRxiv : the preprint server for health sciences · 2025
    Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Philippe JawinskiDepartment of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany. philippe.jawinski@hu-berlin.de.ORCID http://orcid.org/0000-0002-2994-3075
Helena ForstbachDepartment of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
Holger KirstenLIFE-Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.ORCID http://orcid.org/0000-0002-3126-7950
Frauke BeyerCognitive Neurology, University of Leipzig Medical Center & Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID http://orcid.org/0000-0001-5401-852X
Arno VillringerCognitive Neurology, University of Leipzig Medical Center & Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID http://orcid.org/0000-0003-2604-2404
A Veronica WitteCognitive Neurology, University of Leipzig Medical Center & Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID http://orcid.org/0000-0001-9054-6688
Markus ScholzLIFE-Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany.ORCID http://orcid.org/0000-0002-4059-1779
Stephan RipkeStanley Center for Psychiatric Research, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3622-835X
Sebastian MarkettDepartment of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-0841-3163

Funding

Wellcome Trust
6 · The paper itself

Abstract

Neuroimaging and machine learning are advancing research into the mechanisms of biological aging. In this field, 'brain age gap' has emerged as a promising magnetic resonance imaging-based biomarker that quantifies the deviation between an individual's biological and chronological age of the brain. Here we conducted an in-depth genomic analysis of the brain age gap and its relationships with over 1,000 health traits. Genome-wide analyses in up to 56,348 individuals unveiled a heritability of 23-29% attributable to common genetic variants and highlighted 59 associated loci (39 novel). The leading locus encompasses MAPT, encoding the tau protein central to Alzheimer's disease. Genetic correlations revealed relationships with mental health, physical health, lifestyle and socioeconomic traits, including depressed mood, diabetes, alcohol intake and income. Mendelian randomization indicated a causal role of high blood pressure and type 2 diabetes in accelerated brain aging. Our study highlights key genes and pathways related to neurogenesis, immune-system-related processes and small GTPase binding, laying the foundation for further mechanistic exploration.

Indexed as

AgingBrainGenetic LociGenome-Wide Association StudyMental HealthAgedAlzheimer DiseaseDiabetes Mellitus, Type 2FemaleHumansLife StyleMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle Agedtau ProteinsMAPT protein, humantau Proteins

Identifiers

PMID41044200
PMCPMC12532595

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.