A Spreadsheet for Calculating Your Levine Phenotypic Age

  An excellent paper by M. E. Levine, et al, entitled "An epigenetic biomarker of aging for lifespan and healthspan" describes a technique for combining nine blood-work values with calendar age to calculate your Mortality Score (probability of death in the next ten years) and your Phenotypic Age, i.e., your apparent biological age as implied by your blood variables.  The calculation procedure is rather arcane, involving non-obvious unit conversions, exponentials, and logarithms, so I have produced an Excel spreadsheet (LINK) for performing these calculations.

  Levine, et al., also used an elaborate DNA analysis of many blood samples to find what they call the DNAm PhenoAge, a measure of the degree of DNA methylation present, a phenomenon associated with aging.  They correlate this measure with the Phenotypic Age, showing that they track very well.  My spreadsheet uses a fit to their plots to estimate your DNAm PhenoAge and the modified Mortality Score that it implies.

  You may already have blood-work giving the nine blood variables needed to use this spreadsheet, but if not they can be obtained by purchasing the blood-work of LifeExtension's Chemistry Panel & Complete Blood Count (CBC) ($35) and their C-Reactive Protein (CRP), Cardiac ($42).  On the spreadsheet at the upper line of blue numbers, you simply enter your values in place of the ones presently there and enter your decimal calendar age in the last column.  The calculated results then appear in red on the last line.

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  • Very informative interview by Rhonda Patrick to Steve Horvath, much work the time!


  • Does anyone know if and where one can have the (epigenetic) DNA GrimAge test of Steve Horvath et al. Thanks.

    • albedo Try contacting the Clock Foundation. They might not be ready to offer GrimAge directly to a consumer, but, if not, they can point you in the right direction.



      Like 1
  • Thank you Brian, is that Steve Horvath's Foundation?

  • New Spreadsheet Link

        There have been problems accessing this spreadsheet from DropBox, and also from MS Cloud, where someone named Karen recently replaced it with a blank file!  I just placed a new copy of the spreadsheet on Google Drive at this LINK.  I hope we have better luck there.

    • JGC Could not access it. I went to my bookmarks that contained your previous spreadsheet and you are right-- it was blank.

      Thanks for trying.!!!

    • JGC Spreadsheet arrived.

      Thank you

  • Here's the Excel spreadsheet that I use:

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    • michael lustgarten I noticed a discrepancy between your spreadsheet and the version I am using so I went back to source:



      Ptypic Age should be

      =141.50225 + LN(-0.00553*LN(1 -E18))/0.090165


      =141.50225 + LN(-0.00553*LN(1 -E18))/0.09165

      You may like the consequences of fixing this.

    • John Hemming Hi John, Levine's group issued a correction, with the denominator including 0.09165:


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    • michael lustgarten Thank you for this.  I have now corrected my own formula.

      Like 1
    • michael lustgarten Looking at this further (including looking at the correction) I cannot see how they calculate the denominator.  In the end, however, it is the direction of travel that is key rather than the absolute number outcome.  As far as I am personally concerned I want to use the same formula as everyone else to enable accurate comparisons of the direction of travel.

      From May 2021 through to Feb 2022 my est DNAm Age has moved from 58.09 to 52.45.  That implies a lower probability of death from things like CVD which has to be a good thing. I am 61.9.  Sadly when I started working on this I didn't measure much. Hence I don't know the starting position.  I will, however, get better at doing more regular measurements.

      I have managed to get one Epigenetic Age measurement and am trying out another two companies at the moment.  Sadly these things are all at different time points. The one result I have is consistent with a direction of travel between 58 and 52, but I don't know how things are varying month by month.

    • John Hemming I am now running this every 4 weeks and now get DNAm at 49.43. I am wondering if the Molecular Hydrogen has accelerated the process of reducing inflammation.

      • Michael
      • Michael.1
      • 6 mths ago
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      John Hemming What have you noticed most with your reduced inflammation? Thanks

    • Michael The difficulty is that isolating out the cause and effect of any particular change is difficult.  People tell me I am less inflamed and the levine spreadsheet has a lower mortality, but that is looking at a number of indicators of health.   Physically I am stronger without doing a lot of exercise and my joints are noticably more flexible.    The reason I like the spreadsheet biomarkers is that they link to defined health processes.

      Like 1
  • You may find this online tool useful. https://agingmetrics.org/CalculatePhenAgeResp.aspx

    Enter Levine/Horvath markers directly and calculate - or extract values if lab reports are from Life Extension (run by LabCorp).  And most recent ones directly from LabCorp will extract.  Lab reports scanned to PDF do not actually contain the data and will not work.  

    Useful info: https://agingmetrics.org/CalculatePhenotypicAge.html

    Like 1
    • JohnnyAdams Thanks for this.   However, there is a problem with many of the javascript calculators in that they are prescriptive as to the units of measurement.  Sometimes people get molar results, sometimes they get results by weight and there are other results.  The spreadsheet is easier to use because you can adjust the formulae to enable putting in source data and then have the correct calculation done.

      I was thinking of writing a version which allows different units as options for different measurements, but actually people are best pointed at the spreadsheet.

  • After months of research, I finally got my bloods done and used the spreadsheet shared above. However, I have thalassemia minor (no physiological symptoms and my iron panel is good) however, since I have small RBC, my RCDW is large (18) vs. normal range of 10 to 15. This increases my estimated age by nearly 35% (c. 48 vs actual age of 36). Ceteris paribus, if my RCDW was 10 to 15, my phenotypic age would be between 18 and 37 (mid. = 28)


    I have also run my number through aging.ai (3.0) which doesn't use RCDW and my phenotypic age is between 20 and 41 depending on selected ethnicity. I get 20 - 22 when ethnicity is Europe, Asia (ex. Middle East) and America (excluding Central and South America). Otherwise, for ME, South/Central America and Africa, I am phenotypically 41. Is there a racial bias or are insufficient data points for Africa, South America, Middle East and Oceania?

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