Genome Scan is the Lunas Lab workflow that reads a raw consumer-DNA export (23andMe, AncestryDNA, and similar), separates the handful of findings that carry real evidence from the background noise, and explains each one in plain language. General-purpose chatbots like ChatGPT, Google Gemini, or Claude can define a gene name; Genome Scan grounds its answers in your actual file, established evidence tiers, and CPIC pharmacogenomic guidelines — and it never turns a variant into a diagnosis.
What happens when you upload your DNA file?
You drop the raw export from your DNA kit — the plain text or zipped file your testing company gives you — into a Lab workspace, and Genome Scan parses it there. Nothing is summarized away: the scan walks the file and pulls out the positions that have published evidence behind them.
Findings then come back grouped by evidence tier, so a well-established pharmacogenomic marker is never buried under dozens of variants of uncertain significance. A typical consumer export contains hundreds of thousands of genotyped positions; only a small fraction has evidence worth reading, and that fraction is what surfaces first.
How does Genome Scan handle medication genes?
When a variant affects how your body processes a medication, Genome Scan flags it and links the relevant CPIC pharmacogenomic guideline, so the conversation with your prescriber starts from published evidence rather than a search result.
A concrete case: a CYP2C19 result that marks you as a poor metabolizer changes how a common antiplatelet or antidepressant is expected to behave in your body. Genome Scan explains what the phenotype means and points to the guideline text — then stops. The model assists; a qualified professional decides the drug and the dose.
Built for privacy from the start
Genome files stay private in your Vault, encrypted at rest, are never sold or shared, and are excluded from model training unless you explicitly opt in.
Deletion is yours to trigger at any time, and it removes the file and the findings derived from it. Nothing about your genome is sent out in an email or a link, and sharing a result with a clinician is a deliberate, revocable action rather than a side effect of running the scan.
Common questions
- Can AI interpret my 23andMe or AncestryDNA raw data?
- Yes. Lunas Genome Scan parses raw consumer-DNA exports and explains the findings by evidence tier, including CPIC pharmacogenomic guidance. It is educational support for a conversation with your clinician or a genetic counselor, not a diagnosis.
- Is Genome Scan better than pasting my DNA results into ChatGPT?
- A general chatbot answers from memory and cannot safely handle a raw genome file. Genome Scan reads the actual file, ranks findings by established evidence, links clinical guidelines, and keeps the data in a private, deletable vault.
- Will Genome Scan tell me if I have a disease?
- No. Genome Scan explains what a variant is associated with in the published literature and how strong that evidence is — it does not diagnose, predict outcomes, or rule anything out. Most consumer-DNA findings are probabilistic and need confirmation by a clinical-grade test. Bring anything that concerns you to a clinician or genetic counselor.
Try Genome Scan in Lunas
Lunas is free to start — ask everyday medical questions, then upgrade when you need files, records, Clinic, or Lab. AI assists; a qualified professional always decides.
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