2.2K
EVMy OMICmAge is 33.71 years old… I’m 26.45 years old chronologically.
How do I interpret this⁉️
👉🏽Remember, this report calculates biological age by examining age-associated methylation patterns at approximately one million locations on your DNA, using the novel OMICm Age algorithm.
Read more about how we created the best biological age ever created below!👇🏽
OMICmAge is a new aging algorithm that is raising the bar on aging📊
When TruDiagnostic was founded in 2020, we set out on a mission to create the best scientific algorithm (clock) that analyzes epigenetic patterns to accurately quantify biological age. To do this, we needed an extensive amount of data, which is why we partnered with researchers from Harvard University and Partners Biobank⏰
This process has taken us almost three years to finalize, but we are proud to announce the completion of the best biological age clock ever created; the OMICm Age algorithm.
In 5,000 people, we used advanced analysis techniques to quantify all biomarkers that make up the multiome.” Proteins, metabolites, and DNA methylation altogether were measured in only 1500 subjects.
We used these individuals to train the epigenetic biomarker proxies (EBPs) for proteins and metabolites and, later on, we quantified these EBP in the ~ 5000 subjects with DNA methylation🧬
We used Whole Exome Sequencing, Untargeted Plasma Proteomics, Plasma Metabolomics, as well as Clinical Data and Outcome Data for our large group (cohort).
Together, this novel data allows for an unmatched resolution in quantifying the whole body’s aging process. It also allows us to view aging throughout the multiome, through the lens of DNA methylation.
In our initial publication regarding the research and findings used to develop our OMICm Age algorithm, we showed that this clock is better at predicting health and aging outcomes than any other methylation age clock to date‼️
What questions do you have about OMICmAge?
💬Drop them in the comments below
#everythingepigenetics #OMICmAge #biologicalage #Harvard #multiomics
@everythingepigenetics
