Biological age
Morgan Levine's PhenoAge formula, worked over nine values from a standard blood panel.
What you need first
Nine values off an ordinary blood panel, plus your age. This is not a questionnaire: it works on your own numbers, which is exactly why it is worth more than the free tests that ask how you sleep.
- Albumin
- Creatinine
- Glucose
- CRP
- Lymphocyte percentage
- Mean cell volume (MCV)
- Red cell distribution width (RDW)
- Alkaline phosphatase (ALP)
- White blood cells
All nine sit on a standard panel. So if you have had blood taken by your doctor or at a workplace check in the last year, they are almost certainly on that result already. Ask your practice for a copy, or read them off your own patient portal. Values in mg/dL, mmol/L, g/L or µmol/L all work: pick your unit next to the field and the conversion is done for you.
Calculate your biological age
Enter your blood values as your lab reports them.
Nothing is sent and nothing is stored. The calculation lives in the page you have open; close it and it is gone.
How does this calculation work?
- The formula
- PhenoAge turns nine blood values and your calendar age into a ten-year mortality risk, then converts that risk back into the age at which it would be average.
- What you enter
- Albumin, creatinine, glucose, CRP, lymphocyte percentage, mean cell volume, red cell distribution width, alkaline phosphatase, white blood cells and your age.
- What it was built and tested on
- Built on NHANES III and tested on NHANES IV, two large United States population studies with decades of follow-up.
- The paper
- Levine ME, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging, 2018. See the paper
- What it does not tell you
- It is a mortality prediction from blood chemistry, not a measurement of your cells. Nothing is read off your DNA.
- One blood result is one moment. An infection, a heavy training week or dehydration moves several of these values at once.
- It was built and tested on United States population research from the nineties. There is no Dutch validation, so how well it holds here is not known.
The analysis behind it