Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity.

 

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Detalles Bibliográficos
Autores: Dec, Eric, Clement, James, Cheng, Kaiyang, Church, George M., Fossel, Michael B., Rehkopf, David H., Rosero Bixby, Luis, Kobor, Michael S., Lin, David TS., Lu, Ake T., Fei, Zhe, Guo, Wei, Chew, Yap Ching, Yang, Xiaojing, Dwi Putra, Sulistyo E., Reiner, Alex P., Correa, Adolfo, Vilalta, Adrian, Pirazzini, Chiara, Passarino, Giuseppe, Monti, Daniela, Arosio, Beatrice, Garagnani, Paolo, Franceschi, Claudio, Horvath, Steve
Formato: artículo original
Fecha de Publicación:2023
Descripción: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.
País:Kérwá
Institución:Universidad de Costa Rica
Repositorio:Kérwá
Lenguaje:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/88492
Acceso en línea:https://link.springer.com/article/10.1007/s11357-023-00731-7
https://hdl.handle.net/10669/88492
Palabra clave:GENES
MORTALITY

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