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.
journal_name
Mol Celljournal_title
Molecular cellauthors
Hannum G,Guinney J,Zhao L,Zhang L,Hughes G,Sadda S,Klotzle B,Bibikova M,Fan JB,Gao Y,Deconde R,Chen M,Rajapakse I,Friend S,Ideker T,Zhang Kdoi
10.1016/j.molcel.2012.10.016subject
Has Abstractpub_date
2013-01-24 00:00:00pages
359-367issue
2eissn
1097-2765issn
1097-4164journal_volume
49pub_type
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