Correlation over single markers
Individual CpG sites are noisy and rarely tell a story alone. Patterns of co-methylation — sites that rise and fall together — carry more structure than any one site in isolation.
Epigenetic health, mapped
Correlome reads how patterns across your DNA methylation move together — and turns them into a correlation map of your health, from one simple at-home test.
Coming soon. Not a biological-age clock — a view of what’s connected.
The problem
Most epigenetic tests end in one figure: a biological age. Correlome starts from a different question — not how old, but how connected.
Your body is thousands of interacting processes. Compressing them into a single score throws away the structure — the very thing that makes two people with the same number different.
Epigenetic clocks were designed to estimate age. They are interesting, but they don’t show which systems move together, or where a shift in one area may echo in another.
“Older” or “younger” is a headline, not a direction. A map of relationships points to the domains worth a closer look — and a conversation with your clinician.
How it works
Four steps. One simple test. The heavy lifting happens in the lab and in the statistics.
Step 1 · Sample
A small sample collected at home with a guided kit, then returned by post. No clinic visit required. Collection details will be confirmed at launch.
Step 2 · Methylation array
Your DNA is profiled on a methylation array that measures methylation levels at a very large number of CpG sites across the genome.
Step 3 · Correlation analysis
Rather than reading sites one by one, we look at how they vary together — building co-methylation networks and mapping them against health domains.
Step 4 · Health signal report
A clear, visual report of domain-level signals and how they relate to each other — designed to be explored, and discussed with a professional.
What you get
See domain-level signals side by side, and the correlations between them. The goal: understand which systems move together, so you know where to look first.
Illustrative example — not real data
Correlome · Sample report
DemoHover a cell
| MET | INF | CVD | IMM | STR | HEP | SLP | |
|---|---|---|---|---|---|---|---|
| MET | 1 | .6 | .5 | .2 | −.2 | .6 | −.1 |
| INF | .6 | 1 | .4 | .6 | .3 | .3 | −.2 |
| CVD | .5 | .4 | 1 | .1 | .3 | .2 | −.3 |
| IMM | .2 | .6 | .1 | 1 | .4 | .1 | .2 |
| STR | −.2 | .3 | .3 | .4 | 1 | −.1 | .5 |
| HEP | .6 | .3 | .2 | .1 | −.1 | 1 | .0 |
| SLP | −.1 | −.2 | −.3 | .2 | .5 | .0 | 1 |
reference band
Science & approach
DNA methylation is one of the ways cells regulate which genes are active. It responds to genetics, environment and lifestyle — which makes it a rich, dynamic layer to read. Correlome is built by people with a background in molecular and systems biology, and we treat it as a system.
“The question isn’t only how much — it’s what moves with what.”
Individual CpG sites are noisy and rarely tell a story alone. Patterns of co-methylation — sites that rise and fall together — carry more structure than any one site in isolation.
Physiology is a web of feedback loops. We model health domains as nodes in a network and look at the relationships between them, not just their individual levels.
We’ll explain what each part of the report means, how it was derived, and where its limits are. We’d rather say “we don’t know yet” than overstate a signal.
Your epigenetic data is personal. Our aim is to collect only what’s needed, never sell your data, and give you control over it. Full details will be published before launch.
DNA methylation is a chemical tag — a methyl group — added to DNA, most often at sites called CpGs. It doesn’t change your genetic code, but it helps regulate which genes are switched on or off. Methylation patterns are shaped by genetics, age, environment and lifestyle, which makes them a useful window into how your body is functioning.
Biological-age tests (epigenetic “clocks”) combine selected CpG sites into one number that estimates age. Correlome looks at how methylation patterns vary together across the genome and maps those co-methylation networks against health domains. Instead of a single score, you get a picture of relationships — which domains appear connected, and how.
No. Correlome is intended for general wellness and informational purposes only. It is not a medical device and does not diagnose, treat, cure or prevent any disease. Please discuss any health questions or decisions with a qualified healthcare professional. (Placeholder wording — final regulatory language to be confirmed.)
Correlome is designed around a simple at-home collection kit — no clinic visit needed. The exact sample type and collection instructions will be confirmed before launch and included with every kit.
Privacy is a founding principle. We intend to collect only what’s needed to produce your report, never sell your personal or genetic data, and give you clear controls to access and delete it. A full privacy policy will be published before we accept any samples.
Soon. We’re preparing for launch now. Join the waitlist and we’ll let you know when kits become available — no spam, just the important updates.
Waitlist
Correlome is coming soon. Join the waitlist for launch news and early access.