BIBLIOTECA VIRTUAL

Centro Centroamericano de Población

Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity

Autor: Rosero Bixby, Luis

Autor: Kobor, Michael S.

Autor: Rehkopf, David H.

Autor: Dec, Eric

Autor: Clement, James

Autor: Cheng, Kaiyang

Autor: Church, George M.

Autor: Fossel, Michael B.

Autor: Lin, David TS.

Autor: Lu, Ake T.

Autor: Fei, Zhe

Autor: Guo, Wei

Autor: Chew, Yap Ching

Autor: Yang, Xiaojing

Autor: Dwi Putra, Sulistyo E.

Autor: Reiner, Alex P.

Autor: Correa, Adolfo

Autor: Vilalta, Adrian

Autor: Pirazzini, Chiara

Autor: Passarino, Giuseppe

Autor: Monti, Daniela

Autor: Arosio, Beatrice

Autor: Garagnani, Paolo

Autor: Franceschi, Claudio

Autor: Horvath, Steve

Año de publicación

2023

UUID

5e49b9f7-6dac-4c30-acd9-256325a5b33c

Resumen

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.

Publicador

SPRINGER LINK, vol. 45

Enlace del origen de la publicación

https://repositorio.sibdi.ucr.ac.cr/handle/123456789/22494

Documentación restringida

Tipo de publicación

Article

Descriptores

  • MORTALITY
  • GENES

© 2024 Universidad de Costa Rica - Centro Centroamericano de Población