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

Autor: Rosero Bixby, Luis

Autor: Rehkopf, David H.

Autor: Kobor, Michael S.

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

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.

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