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Biological Age Calculator
By GetOPT Review Team · October 27, 2026
·Part of our Longevity Guide
Not medical advice. This calculator does arithmetic on numbers you enter, for general education. It does not diagnose, treat, or recommend a dose or treatment for any condition, and it does not replace an evaluation by a licensed physician. It returns an estimate from a published population formula. It is not a diagnosis, it does not predict your lifespan, and it is not a reason to start, stop, or change any treatment. Talk to your own clinician before acting on any result.
Phenotypic Age (PhenoAge) turns your chronological age plus nine routine blood markers into an estimate of biological age. Enter your values in the biological age calculator below to see your estimate and which markers move it. The estimate can fall above or below your age in years. It is a population-based measure and does not diagnose a condition. Your per-marker results give a physician a starting point for finding the causes behind the number.
Biological Age Calculator
Enter your age and nine values from one recent blood draw, in the units shown. All ten values are needed for a result.
Estimated biological age (PhenoAge)
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Compared with your age
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Enter all ten values to calculate.
Method: Phenotypic Age, Levine et al., 2018 (Table 1 weights; Supplement 1 constant −19.9067 and Gompertz γ 0.0076927; PhenoAge = 141.50225 + ln(−0.00553 × ln(1 − M)) / 0.090165, where M is the 10-year mortality score).1 Units are converted to the model’s units: albumin ×10 to g/L, creatinine ×88.42 to µmol/L, glucose ÷18.016 to mmol/L, CRP ÷10 to mg/dL before the natural log. CRP below 0.1 mg/L is set to 0.1. Comparison profile (illustrative mid-range values chosen for this calculator, not targets or reference ranges): albumin 4.5, creatinine 1.0, glucose 90, CRP 1.0, lymphocytes 30%, MCV 89, RDW 13.0%, ALP 70, WBC 6.0. The model was evaluated in adults aged 20 to 84.2
How the PhenoAge Formula Converts Blood Results Into Years
The PhenoAge formula combines your age with nine blood markers to estimate a 10-year mortality-risk score. The model then converts that score back into years.
Levine et al. developed the formula using data from 9,926 adults aged 20 and older in the Third National Health and Nutrition Examination Survey (NHANES III). The nine markers and chronological age were weighted through a Gompertz mortality model.1
Phenotypic Age represents the age in the general population that corresponds to the same estimated mortality risk.2 If you are 45 and your result is 38, your calculated risk profile resembles the population estimate for age 38. That does not mean your body is exactly 38 years old or that the calculator predicts your lifespan.
Your result can vary widely when several markers move together. In our internal modeling, we ran three illustrative lab profiles through the published formula at age 45. The profiles returned Phenotypic Ages of 29.8, 38.0, and 59.6 years. These were calculated examples rather than patient results. They show the spread the nine-marker formula can produce.
One marker can move your result. A cluster of related markers provides more information. The per-marker breakdown helps you find that pattern before discussing it with your physician.
The Nine Blood Markers in Your Lab Report
The biological age calculator uses values commonly found on a comprehensive metabolic panel, complete blood count, and separate C-reactive protein order. The formula includes markers related to metabolism, inflammation, immune activity, red blood cells, and liver and kidney function.1
| Marker | Where It Commonly Appears | Unit Accepted |
|---|---|---|
| Albumin | Comprehensive metabolic panel | g/dL |
| Creatinine | Comprehensive metabolic panel | mg/dL |
| Glucose | Comprehensive metabolic panel | mg/dL |
| C-reactive protein (CRP) | Separate CRP order | mg/L |
| Lymphocyte percentage | Complete blood count with differential | % |
| Mean cell volume (MCV) | Complete blood count | fL |
| Red cell distribution width (RDW) | Complete blood count | % |
| Alkaline phosphatase (ALP) | Metabolic or liver panel | U/L |
| White blood cell count (WBC) | Complete blood count | Thousand cells per microliter |
Use the value and unit printed on your lab report. C-reactive protein needs a unit check, because the calculator takes milligrams per liter. If your report shows mg/dL, multiply by 10, so 0.3 mg/dL becomes 3 mg/L.
The calculator implements the published Phenotypic Age formula from Levine 2018. It does not assign a clinical target to any marker. A result can sit within a standard reference range and still need context when related markers move with it. Normal and optimal answer different clinical questions, so your physician reads the pattern before setting a plan. Your physician interprets each value alongside your symptoms, medical history, medications, and other labs.
See what biological age means.
Reading the Per-Marker Breakdown
The per-marker breakdown shows which values add or remove the most years from your result. It compares each value with a fixed profile while holding the other entries steady.
The comparison profile is an illustrative mid-range set of values chosen for this calculator. It is not a clinical target or a normal range. A marker that removes years from the estimate does not automatically need improvement, and a marker that adds years does not diagnose a disease.
A physician groups the markers by body system and looks for related movement. The marker with the largest contribution should not become a one-number target. The surrounding pattern determines which causes your physician investigates.
- Metabolic markers: Glucose is read alongside insulin, other metabolic markers, diet, and your recent health history. A higher contribution from glucose raises a question about the cause. The calculator alone cannot answer that question.
- Inflammation and immune markers: C-reactive protein, white blood cell count, and lymphocyte percentage are interpreted together. Your physician also considers recent illness, chronic stress, medications, and related inflammatory markers. Several related results can provide more direction than one isolated value.
- Red blood cell markers: Mean cell volume and red cell distribution width describe characteristics of your red blood cells. A physician reads them with the rest of your complete blood count and any relevant nutritional findings. An unusual result needs context before it can guide a plan.
- Liver and kidney markers: Albumin, alkaline phosphatase, and creatinine contribute information from several body systems. Your physician reads these values with the rest of your metabolic panel, current medications, hydration status, and health history.
The calculator shows which markers have the largest mathematical effect. Your physician works out why those markers moved.
Getting a Clean Reading From Your Labs
A clean PhenoAge estimate starts with a blood panel that reflects your usual health. Acute illness or a recent infection can temporarily raise C-reactive protein and white blood cell count. If your blood was drawn while you were unwell, rerun the calculator with a later panel drawn after recovery.
The validation analysis included adults aged 20 to 84, along with a separate group top-coded at age 85.2 If you are outside the validated age range, the calculator can perform the calculation, but the result extends beyond the main population studied. A physician should place less weight on the estimate in that situation.
A single blood panel is also a snapshot. Sleep, stress, illness, medications, and other short-term conditions can affect individual markers. Finding the cause behind the marker provides more direction than chasing a lower score from one panel. Read your result as a baseline, then compare it with later panels collected under similar conditions.
The trend gives your physician more information than one result. A marker that remains elevated across several panels raises a different question from a temporary change during an infection.
Blood-Based and DNA Methylation Age Measures
Blood-based PhenoAge and DNA methylation tests measure biological aging through different data. This calculator uses routine blood chemistry and chronological age. DNA methylation tests examine chemical patterns attached to DNA.
DNA methylation PhenoAge (DNAm PhenoAge) applies a methylation model related to the blood-based Phenotypic Age measure. Levine et al. reported that DNAm PhenoAge correlated with age across the tissues and cells tested.1
DunedinPACE is another DNA methylation measure. It estimates the pace of aging rather than converting routine blood markers into an age in years. DunedinPACE showed high test-retest reliability and population-level associations with morbidity, disability, and mortality.3
| Measure | Input | Result | Main Use |
|---|---|---|---|
| Blood-based PhenoAge | Age and nine blood markers | Estimated age in years | Shows how a routine lab profile relates to population risk |
| DNAm PhenoAge | DNA methylation data | Epigenetic age estimate | Examines methylation patterns associated with aging |
| DunedinPACE | DNA methylation data | Estimated pace of aging | Measures whether aging appears faster or slower over time |
These measures can give different results because they use different biological inputs. Your choice depends on whether you want a routine blood-based estimate, an epigenetic age measure, or a pace-of-aging measure.
See the biological age test comparison for a closer look at the available test families. Our epigenetic testing page explains the clinical use of DNA methylation.
The Population Evidence Behind Phenotypic Age
Phenotypic Age was associated with mortality across a large United States population sample. In the full sample, each one-year increase in Phenotypic Age was associated with a 9% higher mortality risk after adjustment for chronological age and sex. The reported hazard ratio was 1.09, with a 95% confidence interval of 1.08 to 1.10.2
A hazard ratio describes an association across the study population. It does not provide your individual life expectancy or an accuracy percentage for your result. Neither the original formula study nor the later validation study reports individual predictive accuracy as a single percentage.1,2
The studies also do not establish that changing one marker will change your outcome. A marker may reflect several underlying processes, and the calculator does not identify which process applies to you. Use the result to decide which markers deserve a closer clinical review.
The Opt Take on Biological Age Calculators
A physician should read which markers drive your result against your health history, your symptoms and the six pillars of sleep, stress, hormones, exercise, inflammation, and nutrition.
The number is the starting point. The work comes from identifying why specific markers moved and whether the same pattern remains on a later panel.
At Opt Health, we begin with 55+ biomarkers that span hormones, inflammation, cardiovascular risk, and other areas of health. A physician reviews the results with you, builds a personalized plan, and repeats the blood panel and consultation every three to four months. The follow-up shows whether your markers changed and whether the plan needs adjustment.
This approach avoids treating a lower PhenoAge score as a standalone goal. The plan follows the causes supported by your labs and health history.
Learn more about Opt Health’s program for lowering biological age.
Get started: Begin with Opt Health, where a physician reads your labs, builds your plan, and adjusts it over the loop.
Frequently Asked Questions
No head-to-head study ranks biological age tests by overall accuracy. Each test family measures something different.
Blood-based Phenotypic Age uses chronological age and nine routine blood markers. DNA methylation clocks analyze epigenetic patterns. DunedinPACE measures pace of aging and showed high test-retest reliability in its validation study.3
The best fit depends on what you want to measure and how your physician plans to use the result. Compare the methods on the biological age test page.
Your physician first identifies which markers drive your result and why. A high contribution from glucose raises a different clinical question from a result driven by C-reactive protein, white blood cell count, or red blood cell markers.
The review should consider sleep, stress, hormones, exercise, inflammation, and nutrition alongside your labs. Your plan can then address the causes supported by that pattern. Follow-up testing shows whether the markers changed.
PhenoAge combines chronological age with albumin, creatinine, glucose, C-reactive protein, lymphocyte percentage, mean cell volume, red cell distribution width, alkaline phosphatase, and white blood cell count. The values are weighted in a Gompertz model to estimate 10-year mortality risk, then converted into years.1
The result represents the age in the general population that corresponds to the same estimated risk.2 It can be higher or lower than your chronological age.
PhenoAge has population-level associations with mortality, but neither study reports an individual accuracy percentage. In the validation sample, each additional Phenotypic Age year was associated with a hazard ratio of 1.09 after adjustment for chronological age and sex.2
That association does not tell you how accurately the calculator predicts an outcome for one person. Use your result to identify which markers need context, then review those markers with a physician and compare them across later blood panels.
Your biological age score is a starting point for physician review. An Opt Health membership pairs comprehensive labs with a physician who builds your plan, re-tests your biomarkers every three to four months, and adjusts the plan around your results.
References
- Levine ME, 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/
- Liu Z, et al. A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study. PLoS Med. 2018;15(12):e1002718. https://pubmed.ncbi.nlm.nih.gov/30596641/
- Belsky DW, et al. DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife. 2022;11:e73420. https://pubmed.ncbi.nlm.nih.gov/35029144/
This content is for informational purposes and does not replace evaluation, diagnosis, or treatment by a qualified medical professional.
This article is part of our guide to longevity. See how longevity medicine works at Opt Health.
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