Obesity accelerates epigenetic aging of human liver

By Steve Horvath, W. Erhart, M. Brosch, O. Ammerpohl, W. von Schönfels, M. Ahrens, Nils Heits, Jordana T. Bell, P. Tsai, Tim D. Spector and 7 more. Proceedings of the National Academy of Sciences of the United States of America, 2014

693 citations recorded by the source corpus.

Subfields: Molecular Biology, Pediatrics, Perinatology and Child Health, Physiology

View Paper: https://www.semanticscholar.org/paper/fcf9590c6d1decd0dfd440e3d92a92be1453d356

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

In Pediatrics, Perinatology and Child Health

In Physiology

Citations in the corpus

DNA methylation-based measures of biological age: meta-analysis predicting time to death (2016, methodology): “We used an epigenetic biomarker of age based on 353 CpG markers as one measure of epigenetic age because: a) it is an accurate measurement of age across multiple tissues [3]; b) we previously showed that it is predictive of all-cause mortality [5]; c) it correlated with measures of cognitive/physica”
An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease (2016, methodology): “The utility of the epigenetic clock method has been demonstrated in applications surrounding obesity [29], Down’s syndrome [30], HIV infection [31], Parkinson’s disease [32], Alzheimer’s disease-related neuropathologies [33], lung cancer [34], and lifetime stress [35].”
Epigenetic clock analysis of diet, exercise, education, and lifestyle factors (2017, neutral): “42) [54], suggesting that associations between aging signatures and risk factors may vary in strength depending on the tissue, and may be stronger in organs/tissues most affected by the risk.”