ArticleScience advances2025
Genetically supported targets and drug repurposing for brain aging: A systematic study in the UK Biobank.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multimodal AI for Alzheimer Disease Diagnosis: Systematic Review of Datasets, Models, and Modalities.Journal of medical Internet research · 2026Pooled it
- Lights for aging: Can photobiomodulation restore functionality in the cerebral networks of aged individuals?Neural regeneration research · 2026Article
- Translating genome-wide association studies at multiple scales: Drug target prioritization, cellular architectures, and organ imaging.Cell genomics · 2026Review
- Metabolomic signatures of brain aging: A multimodal and genetic study.Molecular psychiatry · 2026Article
- Exposome-wide patterns predict brain health in aging.Nature communications · 2026Article
- Brain age gap as biomarker linking cardiovascular diseases genetic susceptibility and causality.iScience · 2026Article
- Premature aging in serious mental illness.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- scGeneBank: cross-species screening of functional gene sets at single-cell resolution.Nucleic acids research · 2026Article
- MRI-based multi-organ clocks for healthy aging and disease assessment.Nature medicine · 2026Article
- CSF proteomic profiling with amyloid and tau pathology identifies distinctive sex-specific alteration of multiple proteins involved in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Decoding the human PBMC isonome: isoform-level resolution with single-cell long-read transcriptomics.Frontiers in genetics · 2026Article
- Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends.Biosensors · 2025Review
- Brain age gap as a predictive biomarker that links aging, lifestyle, and neuropsychiatric health.Communications medicine · 2025Article
- Decoding the human PBMC isonome: Isoform-level resolution with single-cell long-read transcriptomics.bioRxiv : the preprint server for biology · 2025Article
- Genome-wide analysis of brain age identifies 59 associated loci and unveils relationships with mental and physical health.Nature aging · 2025Article
- Multi-organ MRI digitizes biological aging clocks across proteomics, metabolomics, and genetics.medRxiv : the preprint server for health sciences · 2025Article
- Relationship between BrainAge Polygenetic Risk Score and plasma biomarkers in the A4/LEARN studies.medRxiv : the preprint server for health sciences · 2025Article
- Lifestyle, Early-life, and Genetic Health Risk Factors Underlying the Brain Age Gap: A Mega-Analysis Across 3,934 Individuals from the ENIGMA MDD Consortium.bioRxiv : the preprint server for biology · 2025Article
- Deciphering the shared genetic structure between hip osteoarthritis and femoral neck bone mineral density.Frontiers in genetics · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain age gap (BAG), the deviation between estimated brain age and chronological age, is a promising marker of brain health. However, the genetic architecture and reliable targets for brain aging remains poorly understood. In this study, we estimate magnetic resonance imaging (MRI)-based brain age using deep learning models trained on the UK Biobank and validated with three external datasets. A genome-wide association study for BAG identified two unreported loci and seven previously reported loci. By integrating Mendelian Randomization (MR) and colocalization analysis on eQTL and pQTL data, we prioritized seven genetically supported druggable genes, including
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Registered trials
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.