You’ve taken a DNA test. Maybe it was a gift, maybe you were curious about your ancestry, maybe you just wanted to know why you can’t stand cilantro. Either way, somewhere in your AncestryDNA or 23andMe account, there’s a file sitting quietly that most people never look at.

That file is your raw DNA data. And it contains far more information than the ancestry pie chart or health report you’ve already seen.

This guide covers everything you need to know about raw DNA data: what it is, where it comes from, what’s inside it, what you can actually do with it, and how to approach it safely. Think of this as your starting point. Each section links to a deeper article if you want the full picture on a specific topic.

What is raw DNA data?

When a company like AncestryDNA or 23andMe processes your saliva sample, they run it through a genotyping chip that reads hundreds of thousands of specific positions across your genome. The results they show you (ancestry percentages, trait reports, relative matches) are a curated interpretation of that data.

But underneath those polished reports is the actual dataset: a plain text file listing every genetic position the chip read, along with the two letters (alleles) you carry at each one. That’s your raw DNA data.

A typical raw DNA file is small, usually between 5 and 15 megabytes. It’s formatted as a simple text or CSV file. Each row represents a single genetic position, and across the whole file, you’ll find somewhere between 600,000 and 700,000 data points.

It might not look like much when you open it. Rows of letters and numbers, no obvious meaning. But each of those rows encodes a piece of information about how your body is built, how it processes nutrients, how it responds to certain compounds, and how it differs from the person sitting next to you.

For a closer look at the structure and format of these files, read our full breakdown: What Is a Raw DNA File?

Where does raw DNA data come from?

The two major consumer DNA testing companies are AncestryDNA and 23andMe. Both use genotyping technology (as opposed to whole genome sequencing), and both let you download your raw data file from your account settings.

But the two platforms aren’t identical. They use different genotyping chips, which means they read slightly different sets of genetic positions. The file formats differ too. AncestryDNA exports a tab-separated text file with a header block that identifies the chip version. 23andMe uses a similar tab-separated format but with its own header structure and some positions that AncestryDNA doesn’t cover (and vice versa).

In practice, the overlap between the two platforms is significant. Most of the well-studied, health-relevant SNPs appear on both chips. But if you’re comparing files from the two services, you’ll notice differences in total line count, formatting, and which positions are included.

We cover the specific differences, including chip versions, file sizes, and which platform captures what, in our detailed comparison: AncestryDNA vs 23andMe Raw Data

How to download your file

Both companies let you export your raw data directly from your online account. The process takes a few minutes and usually involves verifying your identity (a password re-entry or two-factor code) before the download begins.

The steps are straightforward, but they differ slightly between platforms. We’ve written step-by-step guides for each:

Once you’ve downloaded the file, store it somewhere secure on your computer. You can open it in a text editor to see the data, though it won’t mean much without context. That’s where the next section comes in.

What’s inside: SNPs and genetic variants

Open your raw DNA file and you’ll see rows that look something like this:

rsID         Chromosome    Position      Genotype
rs1801133    1             11856378      CT
rs429358     19            45411941      CT
rs9939609    16            53820527      AT
rs4680       22            19951271      AG

Each row is a SNP (pronounced “snip”), which stands for Single Nucleotide Polymorphism. A SNP is a single position in your DNA where people commonly differ from one another. The letters in the genotype column are your two alleles at that position, one inherited from each parent.

Let’s break down what those columns mean:

rsID: A unique reference identifier for the genetic position, assigned by the NCBI’s dbSNP database. Think of it like a catalog number.
Chromosome: Which of your 23 chromosome pairs this position sits on.
Position: The exact numerical location on that chromosome (based on the GRCh37 human genome reference).
Genotype: The two letters (nucleotides) you carry. These can be A, C, G, or T. When both letters match (like “CC”), you’re homozygous at that position. When they differ (like “CT”), you’re heterozygous.

Your raw file contains 600,000 to 700,000 of these rows. That sounds like a lot, and it is. But here’s the important context: your full genome contains roughly 4 to 5 million SNPs. Consumer genotyping chips are designed to capture the most informative subset, positions where human variation is well-documented and scientifically studied.

Why do specific SNPs matter?

Not all SNPs are created equal. The vast majority have no known effect on anything observable. They’re just naturally occurring variation with no functional consequence.

But some SNPs fall in or near genes that influence how your body works. When large-scale research studies (called GWAS, or Genome-Wide Association Studies) consistently find that people carrying a particular variant differ in a measurable way, that SNP gets flagged as potentially meaningful.

Here are a few well-known examples from actual genetic research:

rs1801133 (MTHFR gene): This variant affects how efficiently your body processes folate, a B vitamin critical for methylation and cell repair. The T allele reduces enzyme activity by about 35% per copy, which can elevate homocysteine levels. About 10% of Europeans carry two copies.
rs429358 (APOE gene): One of two SNPs that define the APOE4 variant, which has been extensively studied in the context of cardiovascular and cognitive health. Carrying one copy is associated with roughly 3x elevated risk in research studies.
rs9939609 (FTO gene): The most replicated genetic association with body weight. Each copy of the A allele is associated with roughly 1.2 kg higher body weight on average. The effect is modifiable through physical activity.
rs4680 (COMT gene): Affects dopamine metabolism in the prefrontal cortex. The Met/Met genotype is associated with better cognitive performance under normal conditions but higher stress vulnerability.

These examples illustrate an essential point: genetic associations are probabilistic, not deterministic. Carrying a risk variant doesn’t guarantee an outcome. It shifts the odds. And many of these effects are modifiable through nutrition, lifestyle, and awareness.

For a thorough explanation of how SNPs work, how they’re named, and what makes certain variants worth paying attention to, see our dedicated article: SNPs Explained: What Are Genetic Variants?

What can you do with raw DNA data?

This is the question that matters most. You’ve downloaded a file with 700,000 data points. Now what?

The ancestry and health reports from your testing company are just the beginning. Your raw data can be uploaded to third-party analysis services that interpret a much broader set of variants. Depending on the service, you can learn about:

Nutritional genetics: How your body processes specific vitamins and minerals. Variants in genes like MTHFR, VDR, and BCMO1 influence your needs for folate, vitamin D, and vitamin A respectively. Knowing your genetic tendencies can help you make more informed decisions about supplementation and diet.

Exercise and recovery: Genetic factors associated with muscle fiber composition, VO2 max potential, tendon structure, and recovery speed. Some people are genetically predisposed toward endurance activities while others lean toward power and strength. This information won’t replace training, but it can inform how you train.

Sleep and circadian rhythm: Variants in clock genes (PER, CRY, CLOCK) influence whether you’re naturally a morning person or a night owl, how efficiently you metabolize melatonin, and how your body responds to shift work or jet lag.

Metabolic tendencies: Genetic factors related to insulin sensitivity, lipid metabolism, caffeine processing speed, and lactose tolerance. Variants in genes like TCF7L2 (the strongest common genetic factor associated with type 2 diabetes risk) and MCM6 (lactase persistence) provide context for metabolic patterns you may already notice in daily life.

Pharmacogenomics: How your body processes certain medications. Variants in CYP450 enzymes (like CYP2D6 and CYP2C19) affect how quickly you metabolize specific drugs, which can influence both efficacy and side effects. This is one area where genetic information is increasingly being used in clinical settings.

Cardiovascular wellness: Variants related to coagulation (Factor V Leiden, Prothrombin), cholesterol metabolism (APOE, PCSK9), and blood pressure regulation provide context for heart health tendencies.

The important caveat: all of this information falls under the category of wellness and educational content, not medical diagnosis. Genetic reports can inform conversations with your healthcare provider. They shouldn’t replace those conversations.

For a complete overview of the different ways people use their raw DNA data, read: What Can You Do with Raw DNA Data?

Privacy and safety considerations

Genetic data is uniquely sensitive. Unlike a password, you can’t change your DNA if your data is compromised. And unlike most health data, genetic information has implications not just for you but for your biological relatives.

So before uploading your raw DNA file anywhere, it’s worth asking some pointed questions about the service you’re considering.

What to look for in a DNA analysis service

Data handling: Does the service encrypt your data in transit and at rest? Where are the servers located? Do they comply with privacy regulations like GDPR (if you’re in the EU) or state-level laws like CCPA or Washington’s MHMDA?

Third-party sharing: Does the company share your genetic data with third parties? Some services monetize user data by selling anonymized (or “de-identified”) datasets to pharmaceutical companies or research institutions. Read the terms of service carefully.

Retention and deletion: Can you delete your data after analysis? Is the deletion permanent and verifiable? Some services retain de-identified copies even after you request deletion.

Analytics and tracking: Does the service use third-party analytics, advertising pixels, or tracking scripts? For a platform handling genetic data, the presence of Google Analytics or Facebook pixels should raise questions about how seriously they take privacy.

AI processing: If the service uses AI to generate reports, where does that processing happen? Does the AI provider retain your data? For how long? Is it used to train models?

These aren’t hypothetical concerns. The genetic testing industry has already seen high-profile data breaches. In 2023, 23andMe disclosed that hackers accessed profile information of 6.9 million users through credential stuffing attacks on accounts linked to the DNA Relatives feature.

We cover all of these considerations in detail: Is It Safe to Upload Your DNA File?

How to get started: a step-by-step summary

If you’re ready to explore your raw DNA data, here’s the process from start to finish:

Step 1: Download your raw data file

Log into your AncestryDNA or 23andMe account and export your raw data file. You’ll need to verify your identity during the process. The download produces a text file (usually compressed as a .zip).

Detailed instructions:

Step 2: Understand what you’re looking at

Open the file in a text editor if you’re curious. You’ll see rows of rsIDs, chromosomes, positions, and genotype letters. Each row is one SNP, one position in your DNA where your variation has been recorded.

Background reading:

Step 3: Choose an analysis service

Research the options for uploading your raw data to a third-party analysis platform. Consider what kind of insights you’re looking for (ancestry deep-dives, health and wellness, pharmacogenomics), what the service’s privacy practices look like, and whether the reports include confidence information and scientific citations.

Relevant reading:

Step 4: Upload and analyze

Once you’ve chosen a service, upload your raw data file. Processing time varies by platform, from near-instant for simple lookups to several hours for comprehensive AI-generated reports.

Step 5: Interpret with context

When you receive your results, remember three things:

Genetics is probabilistic. A variant associated with a trait in research studies doesn’t guarantee that trait. It shifts the probability.
Population context matters. Many genetic associations were discovered in studies of European populations. The strength and relevance of an association can vary across different ancestries.
Lifestyle modifies genetics. Many genetic tendencies are influenced by nutrition, exercise, sleep, stress management, and environmental factors. Knowing your predispositions gives you information to act on, not fixed outcomes.

How SoDNAscan fits in

SoDNAscan was built specifically to solve a problem with raw DNA analysis: most services either give you too little (a list of SNPs with no context) or too much (raw research papers dumped into your lap).

Here’s what we do differently.

You upload your raw DNA file from AncestryDNA or 23andMe. Our system parses the file, identifies which of 256 carefully selected SNPs you carry, and runs your data through a multi-stage AI analysis pipeline. The result isn’t a spreadsheet of variants. It’s a personalized health book, typically over 200 pages, organized into chapters that cover your cardiovascular tendencies, metabolic patterns, nutritional genetics, cognitive factors, sleep optimization, exercise programming, and more.

Every insight includes a confidence score based on the strength of the underlying research. We distinguish between well-established associations (replicated across multiple large studies) and preliminary findings (single studies or small sample sizes). You always know how solid the evidence is behind any given recommendation.

If you also have blood work results or wearable health data (from Apple Watch, Oura Ring, Fitbit, or Whoop), you can upload those too. The analysis integrates all three data sources, genetics, biomarkers, and lifestyle metrics, to produce a more complete picture.

On the privacy side: SoDNAscan uses zero third-party analytics or tracking scripts. Your genetic data is encrypted, processed for your book, and deletable at any time. We comply with GDPR, and our data handling practices are documented in detail in our privacy policy. The AI analysis runs through Anthropic’s Claude API with a contractual no-training guarantee, meaning your genetic data is never used to train AI models.

Your raw DNA file already contains the information. SoDNAscan turns it into something you can actually read, understand, and use.

Your data, your next step

Raw DNA data is one of the most personal datasets you’ll ever own. It’s a snapshot of your biological blueprint, captured in a simple text file that most people never open. But the information inside it, when properly analyzed and contextualized, can reshape how you think about nutrition, exercise, sleep, supplements, and overall wellness.

The science of personal genomics is still evolving. New associations are discovered every year. Research populations are expanding. Analysis tools are getting better at separating signal from noise.

And it all starts with that file in your account.

If you haven’t downloaded yours yet, start there. If you have it already, explore what’s inside. And when you’re ready for a comprehensive analysis that goes beyond surface-level trait lists, SoDNAscan is here to help.

The content on this page is for educational and informational purposes only. It is not intended as medical advice and should not be used to diagnose, treat, or prevent any disease or health condition. Genetic information provides general wellness insights based on published research. Always consult a qualified healthcare professional before making changes to your health regimen based on genetic data.

Understanding Your Raw DNA Data: The Complete Guide