# Genetic determinants of proteomic aging

**Authors:** Alexander Mörseburg, Yajie Zhao, Katherine A. Kentistou, John R. B. Perry, Ken K. Ong, Felix R. Day

PMC · DOI: 10.1038/s41514-025-00205-4 · NPJ Aging · 2025-04-26

## TL;DR

This study identifies genetic factors linked to proteomic aging, a measure of biological age based on plasma proteins, and finds that obesity and diabetes accelerate this aging process.

## Contribution

The study introduces a novel proteomic aging trait and identifies genetic loci (BRCA1, POLR2A, TET2) and causal links between metabolic syndrome and accelerated proteomic aging.

## Key findings

- Proteomic age acceleration is genetically correlated with epigenetic clocks and telomere length.
- Three genetic loci (BRCA1, POLR2A, TET2) are associated with widespread effects on plasma proteomic aging.
- Higher BMI and type 2 diabetes causally accelerate proteomic aging.

## Abstract

Changes in the proteome and its dysregulation have long been known to be a hallmark of aging. We derived a proteomic aging trait using data on 1459 plasma proteins from 44,435 UK Biobank individuals measured using an antibody-based assay. This metric is strongly associated with four age-related disease outcomes, even after adjusting for chronological age. Survival analysis showed that one-year older proteomic age, relative to chronological age, increases all-cause mortality hazard by 13 percent. We performed a genome-wide association analysis of proteomic age acceleration (proteomic aging trait minus chronological age) to identify its biological determinants. Proteomic age acceleration showed modest genetic correlations with four epigenetic clocks (Rg = 0.17 to 0.19) and telomere length (Rg = −0.2). Once we removed associations that were explained by a single pQTL, we were left with three signals mapping to BRCA1, POLR2A and TET2 with apparent widespread effects on plasma proteomic aging. Genetic variation at these three loci has been shown to affect other omics-related aging measures. Mendelian randomisation analyses showed causal effects of higher BMI and type 2 diabetes on faster proteomic age acceleration. This supports the idea that obesity and other features of metabolic syndrome have an adverse effect on the processes of human aging.

## Linked entities

- **Genes:** BRCA1 (BRCA1 DNA repair associated) [NCBI Gene 672], POLR2A (RNA polymerase II subunit A) [NCBI Gene 5430], TET2 (tet methylcytosine dioxygenase 2) [NCBI Gene 54790]
- **Diseases:** type 2 diabetes (MONDO:0005148)

## Full-text entities

- **Genes:** BRCA1 (BRCA1 DNA repair associated) [NCBI Gene 672] {aka BRCAI, BRCC1, BROVCA1, FANCS, IRIS, PNCA4}, POLR2A (RNA polymerase II subunit A) [NCBI Gene 5430] {aka NEDHIB, POLR2, POLRA, RPB1, RPBh1, RPO2}, TET2 (tet methylcytosine dioxygenase 2) [NCBI Gene 54790] {aka IMD75, KIAA1546, MDS}
- **Diseases:** type 2 diabetes (MESH:D003924), obesity (MESH:D009765), metabolic syndrome (MESH:D024821)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12033249/full.md

## References

5 references — full list in the complete paper: https://tomesphere.com/paper/PMC12033249/full.md

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Source: https://tomesphere.com/paper/PMC12033249