SelfDecode Alternatives: When You Need Depth and When You Do Not
SelfDecode reads more of your genome than almost anything else. Whether that helps depends on a question worth asking first.
SelfDecode reads more of your raw DNA file than almost any consumer tool, and layers polygenic scores on top. If depth is what you want, it is the serious option and this page will not pretend otherwise.
The question worth asking before you subscribe is whether depth is what you actually want.

Your findings, grouped

How you handle food

Traits, in plain language
The free reader at healthosx.com/dna. Findings first, the science behind each one a tap away, and nothing uploaded.
What polygenic scores are, and what they are not
Most single variants have small effects. A polygenic score adds up thousands of them to estimate a tendency, which is genuinely more informative than reading one SNP at a time.
Two limits come with that, and neither is a flaw in the method.
- They are population-specific. Most were built in people of European ancestry and transfer poorly to everyone else. A score can be confidently wrong for you for reasons that have nothing to do with your genome.
- They are relative, not absolute. A score puts you in a percentile of a reference group. It does not tell you what will happen to you.
Used well, they are a research instrument. Read as a verdict, they mislead.
More variants is not more truth. It is more numbers, and numbers need a question attached.
Where SelfDecode genuinely wins
- Coverage. It reads far more of your file than a curated tool does, which matters if you want to explore rather than answer one question.
- Evidence trails. Findings cite their reasoning and you can drill in, which is the thing people missed when literature-linked reports fell out of fashion.
- It combines with blood work. Uploading labs alongside your genome is a real feature and closer to how the biology works.
- It is maintained. Reports get updated as the science moves, which most free tools never do.
If you are the kind of person who reads the papers, this is your tool. Pay for it.
Where a curated read wins
There is a different reader with a different question: someone who wants to know whether they clear caffeine slowly, whether lactose is worth avoiding, and whether anything in their file should be mentioned to a doctor before a prescription.
For that person a report of twenty thousand findings is not a richer answer, it is a worse one. The signal they need is buried in entries backed by a single small study that never replicated. Triaging that is real work, and most people do not do it. They skim, find something alarming, and google it at midnight.
A curated set is the opposite trade: fewer positions, each well established, each with something to do about it. It is less impressive and more useful.
The HealthOS reader takes that side deliberately. It reads a fixed set of well-evidenced variants, states plainly when a result cannot be called from your file, and refuses to produce a report at all when too few positions matched. It is free, needs no account, and the file never leaves your browser.
How to choose
- You want to explore your genome and read the evidence: SelfDecode. Check current pricing directly.
- You want a specific answer about traits, caffeine, lactose or medication response: a curated reader will get you there in a minute for nothing.
- You want polygenic risk scores: only SelfDecode among these offers them, and read the ancestry caveat above before you act on one.
- Privacy is the deciding factor: a browser-based reader never uploads the file, which is a different guarantee from a promise not to misuse it.
Start with the free read. If it leaves you wanting more depth, you will know exactly what depth you are buying, which is a better position than subscribing to find out.
Read your own file free, in your browser. healthosx.com/dna
Written by
HealthOS Research