Polygenic risk score for brain-age acceleration

There is 1 paper on polygenic risk score for brain-age acceleration in aging research: 1 observational study in people. The newest story, Nov 3, 2026: “Faster brain aging linked to death and disease across the body”.

Biomarker

1 paper studies it2 findings

1 new paper in 30 daysSee all 1 papers on polygenic risk score for brain-age acceleration

“The polygenic risk score for BAA demonstrated significant associations with mortality and diseases across multiple systems in the non-GWAS cohort.”
Integrative analysis of brain-age acceleration: health associations and multi-omics profilesNPJ aging2026doi:10.1038/s41514-026-00557-5
  • Humans1

Associations

2

Diseases across multiple systems

mixedin humans1

1 study
  1. Polygenic risk score for brain-age acceleration is associated with diseases across multiple systems in the non-GWAS cohort.

    “The polygenic risk score for BAA demonstrated significant associations with mortality and diseases across multiple systems in the non-GWAS cohort.”

    Humansin the non-GWAS cohort

    Faster brain aging linked to death and disease across the body

    NPJ aging

More on Diseases across multiple systems

Mortality

mixedin humans1

1 study
  1. Polygenic risk score for brain-age acceleration is associated with mortality in the non-GWAS cohort.

    “The polygenic risk score for BAA demonstrated significant associations with mortality and diseases across multiple systems in the non-GWAS cohort.”

    Humansin the non-GWAS cohort

    Faster brain aging linked to death and disease across the body

    NPJ aging

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NPJ Aging

Faster brain aging linked to death and disease across the body

An observational analysis of brain scans from over 60,000 UK Biobank participants linked accelerated brain aging to death and diseases affecting multiple organ systems.An observational analysis of brain scans from over 60,000 UK Biobank participants linked accelerated brain aging to death and diseases affecting multiple organ systems.

Cohort studyBiomarkers