Integrations Updated 2026-08-22 View as Markdown

Methylation genetics

A one-time upload of a methylation genetic test: genes like MTHFR, COMT, MTR, MTRR and AHCY, and which variants you carry.

Genetics is a moderator, not a metric

This is the important framing, and it is why methylation is handled differently from everything else in the platform.

Your genotype does not change. There is no trend to plot and no streak to maintain. What it does is explain mechanisms and predict which things are worth watching — why you respond the way you do to caffeine, stress, B-vitamins or a particular supplement, and which biomarkers your variants suggest keeping an eye on.

So it enters analysis as a prior, not as a variable. It generates hypotheses; your bloodwork and your daily data test them.

Uploading

Upload the PDF from the methylation view. As with bloodwork, text extraction happens in your browser and only the extracted text is sent for parsing into structured gene and variant records.

You do this once, ever.

What you get

A pathway overview. Your variants organized by the pathway they sit in, rather than as an alphabetical gene list — which is how they actually interact.

Clusters. Where several variants in the same pathway compound each other. A single heterozygous variant is usually unremarkable; three in the same pathway is a different statement.

Watch markers. Bloodwork markers your genotype suggests monitoring, cross-linked to your actual lab results where you have them. This is the most directly actionable output: a specific, testable list rather than general interest.

Genetic priors. Expectations about how you are likely to respond to particular inputs, which the correlation engine then treats as hypotheses to test rather than conclusions to report.

Validation. Where your own data supports or contradicts what the genotype predicted. A contradiction is not an error — it means something downstream is compensating, and that is worth knowing.

A cross-check against what you already take. The half of this that recommends is useless without the half that checks. So the genetics result is cross-referenced against your supplement regimen and states three things separately: which of its suggested compounds you are already taking, which are genuinely still open, and which item in your current stack your own variants argue against. Without this, the obvious failure is a confident suggestion to start something that has been in your cupboard for a year.

An empty regimen and an unrecorded one are reported as different facts. If nothing is on file you are told that it is unknown, not that you take nothing.

Unparsed genotypes are UNKNOWN, never normal

If a genotype cannot be read out of the uploaded report, that gene is reported as unknown. It is not folded in with the genes confirmed to carry no variant.

The distinction matters more here than almost anywhere else in the platform. "No variant found" is a reassurance about your genetic status; "we could not read this" is an absence of information. Collapsing the second into the first manufactures the reassurance, and a reader has no way to tell it was manufactured. A gene only counts as normal when it has at least one successfully parsed variant and every parsed variant came back negative.

Asking about it

get_methylation_data returns the full pathway overview with watch markers, priors and the regimen cross-check, or a single gene. Ask the coach about a gene, about why you respond a certain way to something, or about which bloodwork your genes suggest tracking.

Limits worth being clear about

Genotype is not destiny. A variant describes a tendency in enzyme activity, not an outcome. Expression, diet, environment and everything else you do sit between the gene and the result. That is the whole reason the platform treats it as a prior to be tested rather than a fact to be acted on.

This is not clinical genetic testing. Consumer methylation panels are not diagnostic instruments and this platform is not a clinician. Nothing here should drive a medical decision without a professional involved.

Be skeptical of confident genetic advice generally. The field is noisier than its marketing suggests. The platform's approach — generate a hypothesis, then check it against your own bloodwork and behaviour — is deliberately more conservative than telling you what your genes mean.

Genotypes are not field-level encrypted. The PDF stays on your device; the structured profile is stored in the clear inside the database. See security and privacy.