DNAge Epigenetic Aging Clock
The Most Accurate Biological Age Quantification Service based on the Exclusive License of Horvath’s Clock
What is the DNAge Epigenetic Clock
Aging is the largest risk factor for many chronic diseases including cancer, cardiovascular disease, arthritis, osteoporosis, and type 2 diabetes. Therefore, quantifying the biological age is a fundamental step of understanding diseases and designing anti-aging intervention. Dr. Steve Horvath’s epigenetic clock, the gold standard of aging clocks, predicts biological age by measuring DNA methylation at multiple sites. [1, 2]
Accelerated epigenetic age has been associated with lot of age-related conditions and diseases by independent research studies such as certain types of cancer [3, 4], obesity  and frailty . Recently, a small clinical trial showed that the epigenetic clock, in agreement with the immunological and thymic measurements, could be turned back by a 3-part treatment cocktail. This indicates the power of epigenetic clock in identifying the effectiveness of anti-aging intervention on an accelerated timescale.  In addition to the human epigenetic clock, the mouse epigenetic clock has been used as a tool in biomedical research. The mouse DNAge epigenetic clock has detected advanced epigenetic age in blood and muscle tissue of a transgenic mouse system which carries mild DNA double-strand breaks to mimic natural causes of aging. Beside aging-related diseases, traumatic stress and PTSD are also associated with accelerated aging, which shows the broad potential applications of the epigenetic clock.[9-11]
Zymo Research’s DNAge Epigenetic Clock Service is based on Dr. Steve Horvath’s epigenetic clock and utilizes SWARM® (Simplified Whole-panel Amplification Reaction Method) technology to analyze DNA methylation patterns of >500 loci and provides epigenetic age predictions in a high-throughput manner.
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 Horvath, S., et al., An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease. Genome Biol, 2016. 17(1): p. 171.
 Horvath, S., DNA methylation age of human tissues and cell types. Genome Biol, 2013. 14(10): p. R115.
 Durso, D.F., et al., Acceleration of leukocytes’ epigenetic age as an early tumor and sex-specific marker of breast and colorectal cancer. Oncotarget, 2017. 8(14): p. 23237-23245.
 Ching, C.Y., et al., Accelerated epigenetic aging in bladder cancer patients. 2019, American Association for Cancer Research: Cancer Res 2019;. p. Abstract nr 828.
 Quach, A., et al., Epigenetic clock analysis of diet, exercise, education, and lifestyle factors. Aging (Albany NY), 2017. 9(2): p. 419-446.
 Breitling, L.P., et al., Frailty is associated with the epigenetic clock but not with telomere length in a German cohort. Clin Epigenetics, 2016. 8: p. 21.
 Fahy, G.M., et al., Reversal of epigenetic aging and immunosenescent trends in humans. Aging Cell, 2019. 18(6): p. e13028.
 Hayano, M., et al., DNA Break-Induced Epigenetic Drift as a Cause of Mammalian Aging. bioRxiv, 2019: p. 808659.
 Zannas, A.S., et al., Lifetime stress accelerates epigenetic aging in an urban, African American cohort: relevance of glucocorticoid signaling. Genome Biol, 2015. 16: p. 266.
 Jovanovic, T., et al., Exposure to Violence Accelerates Epigenetic Aging in Children. Sci Rep, 2017. 7(1): p. 8962.
 Wolf, E.J., et al., Accelerated DNA methylation age: Associations with PTSD and neural integrity. Psychoneuroendocrinology, 2016. 63: p. 155-62.