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

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.

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Publication Details

Journal
Nature Aging
Published
2025-10-03
DOI
https://doi.org/10.1038/s43587-025-00962-7
Citations
4
Primary Topic
Mitochondrial Function and Pathology
Type
article
Field-Weighted Citation Impact
3.22
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article

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

Arno Villringer, Philippe Jawinski, A. Veronica Witte, Stephan Ripke et al.
4 citations
Nature Aging
Mitochondrial Function and Pathology
3.22
article

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

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

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.

Nature AgingVol. 5(10)
Broad Institute (US), Humboldt-Universität zu Berlin (DE), University Hospital Leipzig (DE), Max Planck Institute for Human Cognitive and Brain Sciences (DE), Charité - Universitätsmedizin Berlin (DE), Leipzig University (DE)
Openalex Percentile: Top 7%
Mitochondrial Function and Pathology
3.22
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