![](https://s3-us-west-2.amazonaws.com/media.forumbee.com/avatar/34ec316418dc57cf89224ac0ff28f2ef-1545345603617/h/40.jpg)
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.
-
The relative important weight of RDW in Levine's Phenotypic Age might be possibly explained:
"...Variability in red blood cell (RBC) volumes (RBC distribution width: RDW) increases with age and is a strong predictor of mortality, incident CAD and cancer. In a study of 116,666 UK Biobank volunteers, genetic variants explained 29% of RDW individuals aged over 60 years and 33.8% of RDW in those aged < 50 years [222]. RDW was associated with 194 independent genetic signals (119 intronic), 71 implicated in autoimmune disease, body mass index, Alzheimer’s disease, longevity, age at menopause, bone density, myostasis, Parkinson’s disease and age-related macular degeneration. Pathway analysis showed enrichment for telomere maintenance, ribosomal RNA and apoptosis..."
Morris BJ, Willcox BJ, Donlon TA. Genetic and epigenetic regulation of human aging and longevity. Biochim Biophys Acta Mol Basis Dis. 2019;1865(7):1718-1744.
-
What a great resource! I am very glad I found this discussion. I shared my results, along with a comparison to 2x other free online tests here:
http://www.nickengerer.org/longevity-and-wellness/three-biological-age-tests
For those of you having issues downloading the excel sheet above, I provided another link for getting it in my post.
-
used the spreed sheet to order importance of variable without age for me(I think it is a correlated factor plus it is uncontrollable). Used a 10% improvement to look at the age improvement generated. Had a slightly different order than JGC. RDW and MCV still most important. Third/fourth factors related to kidney function, which based on my blood work is not surprising.
-
I have seen the exel sheet that uses Levine's paramteres & coefficents to calculate
MortScore
What confuses me is a parameter "t" in years
I donot tunderstand the meaning of it.
For example, you can put 10 years or 20 years.
Mortality Score changes. And that is expected. The longer the time frame, the higher the probability of mortality.
However, the resulting phenoage also changes. That does not make sense to me.
Can someone please explain?
Thank You