| Title: | Revealing the genetic architectures underlying organ-specific aging based on proteomic data |
| Journal: | Nature Communications |
| Published: | 11 Dec 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41381541/ |
| DOI: | https://doi.org/10.1038/s41467-025-67223-4 |
Publication 17154
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Abstract
Organ-specific plasma protein signatures identified via proteomics profiling could be used to quantitatively track organ aging. However, the genetic determinants and molecular mechanisms underlying the organ-specific aging process remain poorly characterized. Here we integrated large-scale plasma proteomic and genomic data from 51,936 UK Biobank participants to uncover the genetic architectures underlying aging across 13 organs. We identified 119 genetic loci associated with organ aging, including 27 shared across multiple organs, and prioritized 554 risk genes involved in organ-relevant biological pathways, such as T cell-mediated immunity in immune aging. Causal inference analyses indicated that accelerated heart and muscle aging increase the risk of heart failure, whereas kidney aging contributes to hypertension. Moreover, smoking initiation was positively linked to the aging of the lung, intestine, kidney, and stomach. These findings establish a genetic foundation for understanding organ-specific aging and provide insights for promoting healthy longevity.</p>
10 Authors
- Ren-Jie Zhu
- Yan Guo
- Jia-Hao Wang
- Ke Yu
- Wei Shi
- Wen Pan
- Xian-lin Yu
- Wei Chen
- Shan-Shan Dong
- Tie-Lin Yang
1 Application
| Application ID | Title |
|---|---|
| 46387 | Integration of regulatory elements and multi-trait genomic and phenomic data to improve the accuracy of risk prediction of human complex diseases/traits |
Enabling scientific discoveries that improve human health