| Literature DB >> 23177740 |
Gregory Hannum1, Justin Guinney2, Ling Zhao3,4,5, Li Zhang3,4,5,6, Guy Hughes4,5, SriniVas Sadda7, Brandy Klotzle8, Marina Bibikova8, Jian-Bing Fan8, Yuan Gao9, Rob Deconde1,10, Menzies Chen1, Indika Rajapakse11, Stephen Friend2, Trey Ideker1,4,10, Kang Zhang3,4,5.
Abstract
The ability to measure human aging from molecular profiles has practical implications in many fields, including disease prevention and treatment, forensics, and extension of life. Although chronological age has been linked to changes in DNA methylation, the methylome has not yet been used to measure and compare human aging rates. Here, we build a quantitative model of aging using measurements at more than 450,000 CpG markers from the whole blood of 656 human individuals, aged 19 to 101. This model measures the rate at which an individual's methylome ages, which we show is impacted by gender and genetic variants. We also show that differences in aging rates help explain epigenetic drift and are reflected in the transcriptome. Moreover, we show how our aging model is upheld in other human tissues and reveals an advanced aging rate in tumor tissue. Our model highlights specific components of the aging process and provides a quantitative readout for studying the role of methylation in age-related disease.Entities:
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Year: 2012 PMID： 23177740 PMCID： PMC3780611 DOI： 10.1016/j.molcel.2012.10.016
Source DB: PubMed Journal: Mol Cell ISSN： 1097-2765 Impact factor: 17.970