What can you get from your raw DNA data for free?
A large part of the raw DNA interpretation market is free, or free up to a point. That is not a trick — the underlying evidence really is public, and a lot of what a report does is arrangement rather than discovery.
Knowing where free stops, and why it stops there, is the difference between using it well and paying for something you already had.
Can you analyse your raw DNA data for free?
Yes, for a good deal of it. The reference data that interpretation rests on — ClinVar, gnomAD, dbSNP, the GWAS Catalog, the PGS Catalog — is open and free to query. Several interpretation tools also offer free tiers, typically covering traits and ancestry rather than anything health-adjacent.
The reason is not generosity. Access to the evidence genuinely costs nothing, so the free tier gives away the part that is cheap and charges for the part that takes work.
What costs money is the work around the evidence: coverage checking, careful wording, keeping up with revisions, and being available when someone has a question about their own result.
What can you look up yourself with no tools at all?
Any single marker. Open your raw file in a text editor, find the rsid, read the genotype, then look the same rsid up in dbSNP or ClinVar. That is the whole mechanism behind a large share of what interpretation services do, and it costs nothing but time.
This works well for markers with a clean story — the caffeine, lactase and coeliac positions, and most pharmacogenomic genes. It works badly for anything requiring many markers at once, because adding up small effects by hand is not realistic.
One trap worth knowing: check the strand. A marker published as C/T can appear in your file as G/A depending on how your service reported orientation, and comparing directly without checking is the most common way an amateur lookup goes wrong.
Where does the free tier usually stop?
At health. Free tiers across this market tend to cover traits, ancestry and curiosity features, and to put pharmacogenomics, carrier status and disease-associated markers behind a payment or a subscription. That split is remarkably consistent across otherwise very different products.
There is a defensible reason for it and a commercial one. Health-adjacent interpretation carries more obligation, needs more care and creates more support burden. It is also what people will pay for.
Whichever explanation you prefer, the practical effect is the same: the free version of most services answers the questions that are fun, and charges for the ones with consequences.
Is a free DNA report worth using?
For traits and ancestry, often yes. For anything health-adjacent, the question is not price but whether coverage is disclosed. A free report that lists a gene and shows nothing alarming, without saying whether your file covered it, is worse than no report — it reads as reassurance it has not earned.
Watch for two other things. Some free tiers exist to collect a file for research or resale, so read what the terms say about retention and sharing before uploading. And a free tool that has not been updated in years is reporting research that has since moved.
Free is not the problem. Undisclosed coverage is the problem, and it is just as common in paid reports.
What are you actually paying for when you pay?
Judgement, mostly. Choosing which findings are supported well enough to report, saying so when your file cannot answer a question, writing results in language that does not overstate them, and revising when the research changes. None of that is visible on a feature list, which is why feature lists are a poor way to compare these products.
Report counts make this worse. A service advertising hundreds more reports has usually set a lower evidence bar rather than found more in your file.
Our own analysis is free during early access, which makes this an awkward thing to write and an honest one. The evidence underneath is public either way. What you are trusting anyone with is how carefully they read it.
How we turn published research into a report → · How to read your raw DNA file →