What your 23andMe raw data reveals about your health

A plain-language explainer · Updated June 2026

Disease-risk markers: risk, not destiny

This is the category people think of first, and the one most worth handling carefully. Your raw data contains markers linked to complex, polygenic conditions — heart disease, type 2 diabetes, Alzheimer's, and many others. "Polygenic" means the outcome is shaped by hundreds or thousands of variants plus lifestyle and environment, so no single marker decides anything.

A well-known example is APOE4, a variant associated with higher Alzheimer's risk. Carrying it raises a statistical risk — it does not mean you will develop the disease, and many people with the variant never do. Conversely, plenty of people without it still do. That is the shape of nearly every risk marker in your file: it nudges a probability, it does not set an outcome. We dig into this one specifically in what APOE4 in your 23andMe raw data means.

The right mental model is risk, not destiny. A risk marker is information you can act on through the things that actually move outcomes — sleep, movement, diet, screening schedules — not a verdict to lose sleep over.

Carrier status: what you might pass on

Carrier status is about recessive conditions — conditions that typically only appear when someone inherits two copies of a variant, one from each parent. You can carry a single copy, be perfectly healthy, and never know unless you look. This matters most for family planning, since two carriers can have an affected child.

A common example readable from raw data is hemochromatosis, linked to variants in the HFE gene, which affects how the body absorbs iron. We cover what those markers mean in checking hemochromatosis (HFE) in your 23andMe raw data.

One important caveat sits inside this category: BRCA. 23andMe only tests a small, specific set of BRCA1/BRCA2 variants — chiefly three founder mutations common in people of Ashkenazi Jewish descent. A "variant not detected" result does not mean you are clear, because thousands of other cancer-risk variants exist that the chip never checks. If breast or ovarian cancer risk is a real concern for you, that is a clinical-testing conversation, not a raw-data one. More on that in what 23andMe raw data does and doesn't tell you about BRCA.

Medication response: pharmacogenomics

Some of the most practical, least alarming information in your file is pharmacogenomic — how your genetics may influence the way you process certain medications. Genes in families like CYP2D6 and CYP2C19 encode enzymes that metabolise common drugs, and variants can make someone a faster or slower metaboliser of a given medicine.

In practice this can relate to how some painkillers, antidepressants, or blood-thinners are handled by the body. It is genuinely useful context — but again, it is context for a prescriber, not a reason to change a dose yourself. Pharmacogenomic results from consumer raw data should be confirmed with validated clinical pharmacogenetic testing before they inform any prescribing decision.

Nutrition and wellness traits

The lowest-stakes and often most fun category covers everyday nutrition and wellness traits — the small ways genetics shows up in daily life. These rarely carry the weight of disease-risk markers, but they can be a useful nudge toward paying attention to something.

• Folate metabolism — variants in the MTHFR gene are among the most-searched in all of consumer genetics, often more myth than meaning. We separate signal from noise in what MTHFR in your 23andMe raw data actually means.
• Lactose tolerance — a marker near the LCT gene is associated with whether you keep digesting lactose comfortably into adulthood.
• Caffeine metabolism — variants linked to CYP1A2 are associated with how quickly you clear caffeine, which some people find lines up with how coffee affects their sleep.

None of these is a rule. They are gentle prompts to notice your own patterns — and the kind of insight that is more interesting when it sits next to your actual sleep, diet, and lab data rather than floating alone.

How to actually look these up

Knowing the categories is one thing; reading your own file is another. Your raw data is just a table of marker IDs and genotypes — unreadable until a tool translates it into plain language. We compare the options in the best tools to interpret your 23andMe raw data, and if you don't have the file yet, start with how to download your 23andMe raw data.

For the full picture across every category above, see our pillar guide: the complete guide to your 23andMe raw data.

The responsible way to read any of this

Across all four categories, the same disclaimer holds. Consumer raw data is a screening and curiosity tool, not a clinical one. It carries known false positives, it does not diagnose anything, and a marker is the start of a question rather than the end of one. Anything that looks serious belongs in front of a doctor or genetic counsellor, confirmed with proper clinical testing — and nothing here is medical advice.

Frequently asked questions

Can 23andMe raw data diagnose a disease?

No. Raw data is for educational and informational use only. It is not clinically validated, it can return false positives, and it does not diagnose anything. Serious markers must be confirmed with clinical testing and discussed with a doctor or genetic counsellor.

What are the most useful things to do with 23andMe data for health?

The most grounded uses are understanding complex disease-risk markers as probabilities, checking carrier status for family planning, reviewing pharmacogenomic context to share with a prescriber, and exploring everyday nutrition and wellness traits — always treating each as a starting point, not a conclusion.

Does a risk marker mean I'll get the condition?

No. For complex, polygenic conditions a marker shifts a statistical probability shaped by many genes plus lifestyle and environment. It is risk, not destiny — many people with a risk variant never develop the condition, and many without it do.

Is it safe to use my 23andMe raw data for health insights?

The data itself is informative, but how you interpret and store it matters. Reading it on your own device, rather than uploading it to a third-party server, keeps the most sensitive file you own from leaving your control.