학술논문
Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity
Document Type
article
Author
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; Putra, Sulistyo E Dwi; Reiner, Alex P; Correa, Adolfo; Vilalta, Adrian; Pirazzini, Chiara; Passarino, Giuseppe; Monti, Daniela; Arosio, Beatrice; Garagnani, Paolo; Franceschi, Claudio; Horvath, Steve
Source
GeroScience. 45(3)
Subject
Language
Abstract
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 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.