| Title: | DNA methylation marker identification and poly-methylation risk score in prediction of healthspan termination |
| Journal: | Epigenomics |
| Published: | 29 Mar 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38482663/ |
| DOI: | https://doi.org/10.2217/epi-2023-0343 |
Publication 10116
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Abstract
Aim: To elucidate the epigenetic consequences of DNA methylation in healthspan termination (HST), considering the current limited understanding. Materials & methods: Genetically predicted DNA methylation models were established (n = 2478). These models were applied to genome-wide association study data on HST. Then, a poly-methylation risk score (PMRS) was established in 241,008 individuals from the UK Biobank. Results: Of the 63,046 CpGs from the prediction models, 13 novel CpGs were associated with HST. Furthermore, people with high PMRSs showed higher HST risk (hazard ratio: 1.18; 95% CI: 1.13-1.25). Conclusion: The study indicates that DNA methylation may influence HST by regulating the expression of genes (e.g., PRMT6, CTSK). PMRSs have a promising application in discriminating subpopulations to facilitate early prevention.</p>
10 Authors
- Meiqi Yang
- Mei Wang
- Xiaoyu Zhao
- Feifei Xu
- Shuang Liang
- Yifan Wang
- Nanxi Wang
- Muhammed Lamin Sambou
- Yue Jiang
- Juncheng Dai
Enabling scientific discoveries that improve human health