Human Epigenetic Age Analysis

Precisely Quantify Epigenetic Age with Human DNAge Services

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Compatible with Blood & Urine Samples

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Accommodates Limited, Precious Inputs

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Highly Reproducible

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Performance with Blood Samples

Blood DNAge performance showing the correlation between DNAge and Chronological Age

Age-Correlated
DNAge is highly correlated with chronological age in a general population. Therefore, DNAge can accurately predict biological age.
Accommodates Low Inputs
Reliable epigenetic age prediction using as little as 250 ng DNA human dnage reports.
Highly Reproducible
Blood DNAge is highly reproducible with a median SD <1 year in technical replicates.

Performance with Urine Samples

Urine DNAge of female clock showing correlation between DNAge and Chronological Age

Urine DNAge of male clock showing correlation between DNAge and Chronological Age

The Only Urine DNAge Service
Urine dnage is a non-invasive assay reflecting urinary tract health human dnage gender.
Gender-Specific
A gender-specific algorithm is used to enhance the accuracy of Urine DNAge platform.
Highly Reproducible
Urine DNAge is highly reproducible with a median SD of 2 years in technical replicates.

Potential Applications

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Cited in Major Publications

P Borsky et al. Aging in psoriasis vulgaris: female patients are epigenetically older than healthy controls Immunity & Aging. 2021.

BS Moghadasi et al. Neural crest stem cells from human epidermis of aged donors maintain their multipotency in vitro and in vivo Sci Rep. 2019

B Monseur et al. Epigenetic clock measuring age acceleration via DNA methylation levels in blood is associated with decreased oocyte yield Fertil Steril. 2019

YC Chew et al. A High-throughput Targeted Bisulfite Sequencing-based Analysis for Epigenetic Age Quantification and Monitoring FASEB J. 2018

SWARM Technology

The Human DNAge platform utilizes the “Simplified Whole-panel Amplification Reaction Method” (SWARM®), a robust targeted bisulfite sequencing approach which helps deliver reproducible high-throughput methylation data.