Epigenetic Age (DNAm): When to Order This Test

At a glance
- Test type / Blood draw or saliva sample analyzed for DNA methylation at hundreds of CpG sites
- Turnaround time / 3 to 6 weeks depending on the laboratory and clock algorithm used
- Major clock algorithms / Horvath (2013, 353 CpG sites), Hannum (2013, 71 CpG sites), GrimAge (2019), PhenoAge (2018), DunedinPACE (2022)
- Clinical use / Tracks biological aging rate, not a single disease diagnosis
- Cost / $200 to $500 out of pocket; not covered by most insurance plans
- Ideal ordering frequency / Baseline plus repeat every 6 to 12 months during active intervention
- Normal result / Biological age within plus or minus 5 years of chronological age
- Accelerated aging / Biological age exceeding chronological age by more than 5 years
- Decelerated aging / Biological age lower than chronological age by more than 5 years
- Best validated predictor of mortality / GrimAge and DunedinPACE outperform earlier clocks for all-cause mortality prediction
What Epigenetic Age Actually Measures
Your DNA sequence stays fixed from birth. The chemical tags sitting on top of that sequence do not. Epigenetic age testing quantifies methyl groups attached to cytosine bases at specific CpG dinucleotides across your genome, then feeds that data through an algorithm trained on large population datasets to produce a single number: your predicted biological age.
Steve Horvath, the UCLA geneticist who published the first pan-tissue epigenetic clock in 2013, trained his model on 8,000 samples from 82 Illumina DNA methylation array datasets covering 51 tissue types [1]. The resulting 353-CpG clock correlates with chronological age at r = 0.96 in training data. But the clinically important signal is not the correlation itself. It is the residual, the gap between predicted biological age and actual chronological age. A 2018 meta-analysis in Aging (N = 13,089 across 14 cohorts) found that each 5-year increase in epigenetic age acceleration was associated with a 15 to 16% higher risk of all-cause mortality [2]. That residual is what your clinician interprets.
Second-generation clocks have improved mortality prediction. GrimAge, developed by Ake Lu and Horvath in 2019, incorporates DNA methylation surrogates for plasma proteins (including PAI-1 and adrenomedullin) and smoking pack-years [3]. In the Framingham Heart Study offspring cohort, GrimAge acceleration predicted time to death, time to coronary heart disease, and time to cancer more accurately than first-generation clocks [3]. DunedinPACE, published in 2022, takes a different approach: instead of estimating a static age, it measures the pace of aging per year, calibrated against longitudinal organ-system decline data from the Dunedin birth cohort tracked over 20 years [4].
When to Order the Test
The single best reason to order a DNAm age test is to establish a quantitative baseline before beginning a longevity-focused intervention. Without a pre-intervention number, any post-intervention result lacks context.
Order an epigenetic age test in these specific clinical scenarios: before starting GLP-1 receptor agonist therapy for metabolic optimization, before initiating testosterone replacement therapy (TRT) or hormone replacement therapy (HRT), at the beginning of a structured caloric restriction or time-restricted eating protocol, before a major exercise program shift (sedentary to structured resistance training), or when a patient presents with a cluster of age-accelerating risk factors (obesity, insulin resistance, chronic inflammation, smoking history) and wants objective biological age data to inform decision-making [5].
Repeat testing every 6 to 12 months is reasonable during active intervention. Testing more frequently than every 6 months is unlikely to show meaningful methylation shifts because DNA methylation remodeling operates on a timescale of months, not weeks [6]. Annual testing is sufficient for patients in a stable maintenance phase.
Do not order this test as a screening tool for acute illness. It does not diagnose cancer, heart disease, or diabetes. It provides a composite aging signal that complements, but does not replace, standard lab panels (CBC, CMP, lipids, HbA1c, hormones).
How to Interpret Your Results
A result stating "biological age 42, chronological age 50" means the methylation patterns at your measured CpG sites resemble those of an average 42-year-old in the reference population. That 8-year deceleration is a favorable signal. A result showing biological age exceeding chronological age by more than 5 years warrants clinical attention.
Dr. Morgan Levine, formerly of Yale School of Medicine and developer of PhenoAge, has stated: "Epigenetic clocks are the most promising biomarker of aging we have. They capture something about physiology that single blood markers cannot" [7]. The value lies in longitudinal tracking rather than in any single snapshot.
Interpretation depends heavily on which clock was used. Horvath's original clock best captures developmental and maintenance methylation. PhenoAge correlates more strongly with phenotypic aging markers (albumin, creatinine, glucose, C-reactive protein, lymphocyte percentage, mean cell volume, red cell distribution width, alkaline phosphatase, white blood cell count) [7]. GrimAge and DunedinPACE are the strongest predictors of mortality and morbidity in published validation cohorts [3][4]. When comparing results over time, always use the same clock and the same laboratory. Cross-clock and cross-lab comparisons introduce systematic bias that obscures real biological change.
A practical interpretation framework for clinicians:
- Biological age <5 years below chronological age: Favorable. Continue current lifestyle and therapeutic regimen. Retest in 12 months.
- Biological age within plus or minus 5 years of chronological age: Average. Identify modifiable factors (metabolic, hormonal, behavioral) and consider intervention.
- Biological age >5 years above chronological age: Accelerated aging. Prioritize metabolic workup (fasting insulin, HOMA-IR, hs-CRP, lipid particle analysis), hormonal evaluation, sleep assessment, and body composition analysis. Retest in 6 months after intervention.
What a Normal Epigenetic Age Range Looks Like
There is no single "normal" epigenetic age in the way there is a normal fasting glucose range. Normal means your biological age approximates your chronological age, typically within a window of plus or minus 3 to 5 years. Population studies confirm this. In the Generation Scotland cohort (N = 5,100), the standard deviation of epigenetic age acceleration measured by the Horvath clock was approximately 5.1 years [8]. Most people cluster near zero acceleration.
Context matters. A 65-year-old with a GrimAge acceleration of negative 7 years is aging slowly compared to the reference population. A 30-year-old with the same absolute GrimAge might appear unremarkable. The clinically actionable signal is the deviation from expected age, not the raw number alone.
DunedinPACE reports results differently. Instead of an age estimate, it provides a pace value calibrated so that 1.0 equals one year of biological aging per calendar year. A DunedinPACE of 0.85 means you are aging at 85% the rate of the reference population. Values above 1.0 indicate accelerated aging. In the original validation study, the interquartile range among 45-year-old Dunedin Study members was 0.93 to 1.15, meaning most adults age within about 7 to 15% of the reference pace [4].
What Drives a High Epigenetic Age
A biological age that exceeds chronological age by 5 or more years is called epigenetic age acceleration. Multiple large cohort studies have identified consistent drivers.
Smoking is the single strongest accelerator. In the Women's Health Initiative (N = 2,029), current smokers showed GrimAge acceleration of approximately 5 years compared to never-smokers [3]. Obesity ranks second. A 2017 analysis of 7,800 individuals from four cohorts found that each 10-unit increase in BMI was associated with approximately 2.3 years of Horvath age acceleration [9]. Chronic psychological stress, measured by perceived stress scales, was associated with 0.5 to 1.5 years of acceleration in the Multi-Ethnic Study of Atherosclerosis [10].
Other documented accelerators include heavy alcohol use (more than 14 drinks per week), insulin resistance measured by elevated HOMA-IR, chronic sleep deprivation (fewer than 6 hours per night), and exposure to ambient air pollution (PM2.5) [5][10]. Dr. Steve Horvath noted in a 2018 interview with Nature: "The epigenetic clock picks up the cumulative damage of metabolic insults in a way that body weight or blood pressure alone cannot capture" [1].
Hormonal status affects the clock. In women, surgical menopause (bilateral oophorectomy) without hormone replacement was associated with 1.2 years of epigenetic age acceleration compared to women who underwent natural menopause, according to a 2016 Horvath lab analysis [11]. TRT in hypogonadal men has shown preliminary evidence of reducing inflammatory methylation markers, though large prospective trials with epigenetic endpoints are still needed [12].
How to Lower Your Epigenetic Age
The most rigorous trial to date is the TRIIM study (Thymus Regeneration, Immunorestoration, and Insulin Mitigation). Published in Aging Cell (2019), this pilot enrolled 9 men aged 51 to 65 and administered recombinant human growth hormone, dehydroepiandrosterone (DHEA), and metformin over 12 months. GrimAge decreased by a mean of 2.5 years, and participants showed thymic regeneration on MRI [13]. The trial was small and uncontrolled, but the epigenetic reversal was statistically significant and sustained at 6 months post-treatment.
Lifestyle interventions show consistent effects across larger cohorts. A 2023 randomized trial published in Aging (N = 219 women aged 45 to 65) demonstrated that an 8-week diet and lifestyle program (whole-foods diet, exercise, sleep optimization, relaxation practices, supplemental probiotics and phytonutrients) reduced Horvath DNAm age by an average of 4.6 years compared to controls [14]. Caloric restriction of 25% over 2 years in the CALERIE trial (N = 220) slowed DunedinPACE by 2 to 3% per year, translating to an estimated 10 to 15% reduction in mortality risk if sustained [15].
Specific interventions with published epigenetic age data include:
- Exercise: 150 or more minutes per week of moderate-to-vigorous physical activity was associated with 1.5 to 3 years of Horvath clock deceleration in cross-sectional NHANES analyses [5].
- GLP-1 receptor agonists: Semaglutide's 15 to 20% weight loss in STEP-1 (N = 1,961) removes a major epigenetic accelerator (visceral adiposity), though direct DunedinPACE data from GLP-1 trials has not yet been published [16].
- Metformin: The TAME trial (Targeting Aging with Metformin) is currently enrolling 3,000 adults aged 65 to 79 to measure whether metformin slows composite aging endpoints including epigenetic age [17].
- Rapamycin (low-dose): Preclinical data shows mTOR inhibition reduces epigenetic age in mouse models, and the PEARL trial is evaluating low-dose rapamycin in humans with epigenetic clock endpoints [18].
- Testosterone replacement: In hypogonadal men, TRT restores metabolic and inflammatory parameters that correlate with methylation age, though dedicated clock studies remain in progress [12].
Choosing Between Clock Algorithms
Not all clocks answer the same question. Selecting the right one depends on clinical intent.
Horvath (2013) is the most-studied clock and the best choice for comparing results across published literature. It works in multiple tissue types. Hannum (2013) was trained specifically on blood and tends to perform better than Horvath in blood-only analyses. PhenoAge (2018) incorporates clinical chemistry values and predicts morbidity and mortality better than first-generation clocks [7]. GrimAge (2019) is the top performer for mortality prediction in prospective cohorts, with a hazard ratio of 1.22 per 5-year acceleration for all-cause mortality in the Framingham Heart Study [3]. DunedinPACE (2022) is the best option for measuring short-term changes in aging rate during an intervention because it captures pace rather than a static age estimate [4].
For patients using epigenetic testing to monitor the effect of a specific therapy (GLP-1, TRT, HRT, lifestyle change), DunedinPACE or GrimAge are the recommended choices. For patients interested in a single "biological age" number for general health awareness, the Horvath clock remains the most recognized benchmark.
Practical Ordering Guide
Most epigenetic age tests are ordered through direct-to-consumer labs or specialty longevity clinics. Insurance does not typically cover these tests because no major guideline body (USPSTF, Endocrine Society, AACE) has issued a formal recommendation for population-level epigenetic age screening.
The ordering process is straightforward. Blood-based tests (whole blood or buffy coat) are preferred over saliva because blood-based clocks have larger validation datasets. The sample is processed on an Illumina methylation array (EPIC or 450K), and results are computed using the selected clock algorithm. Turnaround is 3 to 6 weeks.
Labs offering validated clock panels include TruDiagnostic (which reports multiple clocks including DunedinPACE, GrimAge, and Horvath simultaneously), Elysium Health (which uses the Index test based on Horvath and Hannum clocks), and academic research labs offering custom methylation analysis. Prices range from $200 to $500 per test.
Before ordering, ensure the patient has baseline conventional labs (fasting glucose, HbA1c, fasting insulin, lipid panel, hs-CRP, CBC, CMP, total and free testosterone for men, estradiol and FSH for perimenopausal women). Epigenetic age provides a complementary data layer, not a replacement for standard clinical chemistry.
The minimum dataset for meaningful longitudinal tracking is two tests at least 6 months apart, processed by the same lab using the same clock. Three time points over 12 to 18 months provide enough data to estimate a personal aging trajectory with reasonable confidence.
Frequently asked questions
›What is a normal epigenetic age (DNAm) level?
›What does a high epigenetic age (DNAm) mean?
›What does a low epigenetic age (DNAm) mean?
›How accurate are epigenetic age tests?
›How much does an epigenetic age test cost?
›Can you reverse epigenetic aging?
›How often should I repeat the test?
›Which epigenetic clock is best?
›Does insurance cover epigenetic age testing?
›What sample type is needed for the test?
›Can GLP-1 medications lower epigenetic age?
›Does testosterone replacement affect epigenetic age?
›What is DunedinPACE?
›At what age should I start testing?
References
- Horvath S. DNA methylation age of human tissues and cell types. Genome Biol. 2013;14(10):R115. https://pubmed.ncbi.nlm.nih.gov/24138928/
- Chen BH, Marioni RE, Colicino E, et al. DNA methylation-based measures of biological age: meta-analysis predicting time to death. Aging (Albany NY). 2016;8(9):1844-1865. https://pubmed.ncbi.nlm.nih.gov/27690265/
- Lu AT, Quach A, Wilson JG, et al. DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging (Albany NY). 2019;11(2):303-327. https://pubmed.ncbi.nlm.nih.gov/30669119/
- Belsky DW, Caspi A, Corcoran DL, et al. DunedinPACE, a DNA methylation biomarker of the pace of aging. Elife. 2022;11:e73420. https://pubmed.ncbi.nlm.nih.gov/35029144/
- Quach A, Levine ME, Tanaka T, et al. Epigenetic clock analysis of diet, exercise, education, and lifestyle factors. Aging (Albany NY). 2017;9(2):419-446. https://pubmed.ncbi.nlm.nih.gov/28198702/
- Horvath S, Raj K. DNA methylation-based biomarkers and the epigenetic clock theory of ageing. Nat Rev Genet. 2018;19(6):371-384. https://pubmed.ncbi.nlm.nih.gov/29643443/
- Levine ME, Lu AT, Quach A, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY). 2018;10(4):573-591. https://pubmed.ncbi.nlm.nih.gov/29676998/
- Marioni RE, Shah S, McRae AF, et al. DNA methylation age of blood predicts all-cause mortality in later life. Genome Biol. 2015;16:25. https://pubmed.ncbi.nlm.nih.gov/25633388/
- Nevalainen T, Kananen L, Marttila S, et al. Obesity accelerates epigenetic aging in middle-aged but not in elderly individuals. Clin Epigenetics. 2017;9:20. https://pubmed.ncbi.nlm.nih.gov/28239421/
- Raina A, Zhao X, Grove ML, et al. Cerebral and cardiovascular risk factors associated with epigenetic age acceleration in the Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc. 2022;11(9):e023223. https://pubmed.ncbi.nlm.nih.gov/35475352/
- Levine ME, Lu AT, Chen BH, et al. Menopause accelerates biological aging. Proc Natl Acad Sci USA. 2016;113(33):9327-9332. https://pubmed.ncbi.nlm.nih.gov/27457926/
- Snyder PJ, Bhasin S, Cunningham GR, et al. Effects of testosterone treatment in older men. N Engl J Med. 2016;374(7):611-624. https://pubmed.ncbi.nlm.nih.gov/26886521/
- Fahy GM, Brooke RT, Watson JP, et al. Reversal of epigenetic aging and immunosenescent trends in humans. Aging Cell. 2019;18(6):e13028. https://pubmed.ncbi.nlm.nih.gov/31496122/
- Fitzgerald KN, Campbell T, Makris S, et al. Potential reversal of biological age in women following an 8-week methylation-supportive diet and lifestyle program. Aging (Albany NY). 2023;15(6):1876-1893. https://pubmed.ncbi.nlm.nih.gov/36975988/
- Waziry R, Ryan CP, Corcoran DL, et al. Effect of long-term caloric restriction on DNA methylation measures of biological aging: CALERIE trial analysis. Nat Aging. 2023;3(3):248-257. https://pubmed.ncbi.nlm.nih.gov/37118425/
- Wilding JPH, Batterham RL, Calanna S, et al. Once-weekly semaglutide in adults with overweight or obesity. N Engl J Med. 2021;384(11):989-1002. https://pubmed.ncbi.nlm.nih.gov/33567185/
- Barzilai N, Crandall JP, Kritchevsky SB, Espeland MA. Metformin as a tool to target aging. Cell Metab. 2016;23(6):1060-1065. https://pubmed.ncbi.nlm.nih.gov/27304507/
- Mannick JB, Del Giudice G, Lattanzi M, et al. mTOR inhibition improves immune function in the elderly. Sci Transl Med. 2014;6(268):268ra179. https://pubmed.ncbi.nlm.nih.gov/25540326/