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Journal · Choosing

You have your raw DNA file. Now what?

By Adriano De Marino, precision medicine analyst · June 2026

So what can you actually do with a raw DNA file?

A raw DNA file is data, not an answer. It needs interpretation before it means anything. You have three honest paths: read it yourself with heavy caveats, run it through free annotation tools, or have a scientist interpret it against your history. The data is rarely the hard part. The meaning is.

A raw file is data, not an answer

Open the file and you will find a long list of positions and letters: a text file of marker calls from an array, or a much larger sequence from whole-genome sequencing. It is real, it is yours, and on its own it tells you almost nothing. The genome is not self-explanatory. Each line is a fact without a sentence around it.

This is the part most people are not warned about. Downloading the file felt like the finish line, especially for the millions who exported their data as 23andMe wound down. In truth it is the starting line. The data is rarely the hard part to obtain. The meaning is the hard part, and meaning has to be built on top of the raw letters by someone who understands what they do and, just as often, what they cannot say.

So the real question is not where the file is. It is who, or what, turns it into something you can act on, and how much you should trust the result.

The limits you should know before you read it

A raw consumer file carries two opposite traps. The first is false positives. Raw single-variant health flags have a high false-positive rate: a position can read as a high-consequence variant when, on careful confirmation, it is not. People act on a scary line that a clinical lab would never have called. The second trap is the quiet one. An array reads only the common markers it was built to test, well under 0.1 percent of your genome, so a reassuring file can simply mean the relevant variant was never tested. That is a false negative, and it is easy to mistake for good news.

Whole-genome sequencing reads far more of you, which removes the false-negative-by-omission problem for most positions, but it does not remove the need for interpretation. More data is more to misread, not less. Either way, the file is a draft of evidence, not a verdict.

None of this makes a consumer test bad. It is the honest limit of treating raw output as a finished answer. We go deeper into this in the piece on whether at-home DNA health tests are accurate, worth reading before you draw conclusions from a single flagged line.

Your three honest options

You can read it yourself. Public databases let you look up individual variants, and for the curious this is genuinely educational. The caveat is heavy: a single line of context rarely captures the contradictory evidence, the ancestry calibration, and the difference between a marker that matters and one that does not. It is easy to find a frightening sentence and very hard to know whether it applies to you.

You can use a free annotation tool. Several open tools will take a raw file and attach published associations to your variants. They are useful and often well-built, but they are unvetted and they annotate rather than interpret. They tell you what has been written about a marker in general, not what it means for you, with your history, your bloodwork, and your other variants weighed together.

Or you can have the file interpreted by a person. This is the work we do: a precision medicine analyst reads an existing array or sequence against your own history, sorts the real signal from the artefact, and flags anything worth confirming. It is not a self-serve upload tool and never will be. It begins as a consultation, by application, because hand interpretation is the point, not a feature bolted onto a dashboard.

If you already have a file, what comes next

A file you already paid for is not wasted. If you have a 23andMe or AncestryDNA export, that array can be the input to an analysis, with its limits stated honestly. If you had whole-genome sequencing done and have been sitting on the result wondering what to do with it, that depth is exactly what rewards careful reading: the rare variants an array cannot see are where a sequence earns its place.

Whichever you hold, the Precision Longevity Analysis works from the data you already have. You do not need to test again to be understood. What changes the value is depth (how much of your genome was actually read) and interpretation (whether one scientist reads it by hand or an algorithm applies a template).

This is informational and educational, not clinical or diagnostic. Nothing here diagnoses, predicts, or prevents disease. Anything of clinical consequence is flagged for you to confirm and discuss with your own physician.

From data to meaning

You have the data. Have it read.

Already hold a 23andMe, AncestryDNA or whole-genome file? A precision medicine analyst reads it by hand, against your history, and tells you what it can and cannot say.