Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity.
保存先:
| 著者: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| フォーマット: | artículo original |
| 出版日付: | 2023 |
| その他の書誌記述: | Claims surrounding exceptional longevity are sometimes disputed or dismissed for lack of credible evidence. Here, we present three DNA methylation-based age estimators (epigenetic clocks) for verifying age claims of centenarians. The three centenarian clocks were developed based on n = 7039 blood and saliva samples from individuals older than 40, including n = 184 samples from centenarians, 122 samples from semi-supercentenarians (aged 105 +), and 25 samples from supercentenarians (aged 110 +). The oldest individual was 115 years old. Our most accurate centenarian clock resulted from applying a neural network model to a training set composed of individuals older than 40. An epigenome- wide association study of age in different age groups revealed that age effects in young individuals (age < 40) are correlated (r = 0.55) with age effects in old individuals (age > 90). We present a chromatin state analysis of age effects in centenarians. The centenarian clocks are expected to be useful for validating claims surrounding exceptional old age. |
| 国: | Kérwá |
| 機関: | Universidad de Costa Rica |
| Repositorio: | Kérwá |
| 言語: | Inglés |
| OAI Identifier: | oai:kerwa.ucr.ac.cr:10669/88492 |
| オンライン･アクセス: | https://link.springer.com/article/10.1007/s11357-023-00731-7 https://hdl.handle.net/10669/88492 |
| キーワード: | GENES MORTALITY |