| Title: | Uncover the associations of lifestyle behaviors, telomere length, metabolic markers and PhenoAge. |
| Lead Institution: | Nanjing Medical University |
| Principal investigator: | Dr Juncheng Dai |
Application 79151
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About
PhenoAge has been shown to strongly predict differences in the risk of all-cause mortality or cause-specific mortality, and be a better indicator of remaining life expectancy than chronological age. Previous studies have indicated that aging is influenced by both lifestyle behaviors and genetics. Telomere length also has been considered a physical marker of individual lifespan. However, direct evidence on associations of PhenoAge with lifestyle behaviors, telomere length and metabolic markers are limited, due to small sample size, poor accuracy of data measurement and influence of potential confounding factors. Therefore, a comprehensive evaluation of the potential relationship based on large-scale sample size is essential. We plan to take 36 months to finish this project. We will first develop the PhenoAge by using chronological age and 9 biomarkers. Then, using a nested case-control study design and Mendelian randomization analyses, we will investigate the observational and causal associations between lifestyle behaviors, telomere length, metabolic markers and PhenoAge. Finally, we will develop a risk prediction model based on previous findings to identify the participants with high PhenoAge Acceleration risk. This project is expected to improve the understanding of associations between lifestyle behaviors, telomere length, metabolic markers and personal PhenoAge. Besides, it also may help for targeted prevention and extend population life expectancy.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 10116 | DNA methylation marker identification and poly-methylation risk score in prediction of healthspan termination | Meiqi Yang (+9) | 2024 | Epigenomics |
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