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Low-Coverage DNA Report

See how selected chromosome windows compare with world populations.

Standard ancestry reports average across the genome. This one looks only at 13 centromere and low-coverage windows, then estimates which of 10 broad world regions those markers are most genetically similar to.

One-time payment $66 Lifetime access. No subscription.
  • GDPR aligned
  • Private by default
  • A complement, not a full-genome test
What you get

Seven things you will see in your report.

Each item below is a real section of the report, in the order you read it.

  1. Your top three regional signals

    The report opens with the three world regions those windows are most similar to, with their percentages, so you get the headline before the detail.

  2. Full percentage breakdown across 10 regions

    Every region with a signal is listed from largest to smallest. Select a region to open its detail panel.

  3. Global distribution map

    The same result drawn on a world map. Shading is a visual guide, not a border and not a claim about where your family lived.

  4. A profile for each region in your result

    Each region has context for the percentage: what the similarity estimate means, and a description of the region and its reference populations.

  5. The windows that were analysed

    A chromosome view plus a table of chromosome, start and end for each of the 13 windows. You can see exactly which stretches the percentages come from.

  6. A plain-language science chapter

    Why centromeres and low-coverage stretches are harder to read, why the result can differ from a whole-genome estimate, and what the analysis cannot do.

  7. Optional AI explanation Sold separately

    An AI assistant can explain the regions and percentages in conversational language. Answers are informational, not proof of ancestry and not medical advice. It needs the separate AI Assistant licence.

Example result

What a result looks like.

A mock-up of the breakdown, a region panel, and the window table. The numbers and coordinates are invented.

Illustrative example

Window composition

10 regions

Invented percentages for illustration. This is not a customer result.

  1. 01Northwestern European32.0%
  2. 02Southern European21.0%
  3. 03West Asian14.0%
  4. 04Central & West Asian10.0%
  5. 05North African8.0%
  6. 06East African5.0%
  7. 07West African4.0%
  8. 08Southeast Asian3.0%
  9. 09East Asian2.0%
  10. 10Amerindian-Siberian1.0%

Top three regions, shown in the report summary.

Region panel, same example

Southern European 21.0%

The 21.0% shown here would be the share of the analysed windows most similar to reference populations from this region. It is a similarity estimate, not a statement about where relatives lived.

Window table, invented rows

Windows analysed

Illustrative chromosome windows, not the real analysis coordinates
Chromosome Start End
Chr 1 10,000,000 12,000,000
Chr 9 40,000,000 45,000,000
Chr 16 20,000,000 24,000,000

The real table lists all 13 windows. These three rows are placeholders so you can see the layout.

View sample report
The 10 regions

Broad world regions, not individual populations.

Markers in the windows are compared against 10 continental-scale components. Each percentage in your report belongs to one of these.

Europe

  • Northwestern European
  • Southern European

Africa

  • North African
  • West African
  • East African

Asia

  • West Asian
  • Central & West Asian
  • East Asian
  • Southeast Asian

Americas and Siberia

  • Amerindian-Siberian
What we analyse

13 fixed windows, not every marker in your file.

Centromeres sit near the middle of a chromosome and are full of repeated sequence, so standard reads often cover them thinly. The report uses those stretches, plus a set of other low-coverage windows, and ignores the rest of the genome.

How many
13 intervals on chromosomes 1, 2, 8, 9, 10, 15, 16, 17, 21 and 22. The report shows each one.
What is left out
Everything outside those windows, including most of the autosomes and the sex chromosomes.
Why the data is thinner
Repeated sequence and low marker density make these stretches harder to read. Treat the percentages as a lower-density estimate than a whole-genome report.
Why this lens

A complement to a whole-genome estimate.

Use it next to a standard ancestry report, not instead of one. The windows can show a different regional mix because they are a small, harder-to-read slice of the genome.

Whole-genome report
Averages similarity across chromosomes. More markers, broader picture.
This report
Similarity inside 13 predefined windows only. Fewer markers, a separate question.
When they disagree
That is expected. Neither result is "the real one." Read this report as an extra view with wider uncertainty.
How it works

From your DNA file to your report.

  1. Use your DNA file

    Pick a sample already in your account, or upload a supported raw DNA file from a major testing company.

  2. We compare the windows

    Only markers inside the 13 windows are compared with the 10-region reference model.

  3. Open your report

    You get an email when it is ready. Your report stays in your account for lifetime access.

Get the Report

Compare those windows with world populations.

A smaller slice of the genome, explained clearly, with its limits stated up front.

This report is included in the following packs:

Starter Pack $66 One-time payment - Lifetime access

A genetic-similarity estimate for centromere and low-coverage windows, not a full-genome or health test.

Secure payment · GDPR compliant · Your data stays yours

Before you begin

Frequently asked questions.

What the windows are, how to read the percentages, and how your data is handled.

What does this report look at?

It looks only at 13 predefined windows of your genome: centromeres and other low-coverage stretches on 10 chromosomes. It does not analyse your whole genome.

What does a result mean?

Each percentage measures statistical genetic similarity between markers in those windows and reference populations in one of 10 broad world regions. It does not prove descent, and it does not assign ethnicity, nationality or identity.

Is this a health or diagnostic report?

No. It is an ancestry and population-genetics report. It does not predict disease and is not medical advice.

Why might this differ from my other ancestry reports?

Whole-genome reports average across chromosomes. This report uses a smaller set of windows that are harder to read and can carry a different similarity signal. A difference is expected, not an error.

How should I read small percentages?

Treat small values as tentative. They can reflect overlap between related reference populations, limited data in these windows, or statistical noise.

Does low coverage mean my DNA file is broken?

No. These windows are structurally hard to read in many DNA files. The report is a deliberate look at those windows, not a quality warning about the rest of your file.

Which chromosomes are included?

The windows sit on chromosomes 1, 2, 8, 9, 10, 15, 16, 17, 21 and 22. The report lists each window as chromosome, start and end.

Will I see the exact windows?

Yes. The report includes a chromosome view and a table of the coordinates that were analysed.

Which DNA files can I use?

DNA Genics accepts supported raw DNA files from major testing companies, including 23andMe, AncestryDNA, MyHeritage, FamilyTreeDNA and Living DNA, and supported whole genome sequencing formats.

How long does processing take?

Processing depends on your file and the current queue. You receive an email notification when your report is ready.

How is my data handled?

Your report is private by default, and your account provides controls for managing and deleting stored data.

What does lifetime access include?

The purchase gives you ongoing access to the report in your account without a subscription. Results may be recalculated if the underlying reference data or report method is updated.

Reading ancient and modern DNA since 2018

DNA Genics has been building ancestry and DNA analysis reports since 2018. Our reports come from years of work with our own reference panels, calculators and ancient-genome comparisons, developed and reviewed by our team. They are not generated on the fly or assembled as a side project. We use AI only in clearly labelled optional features.

About DNA Genics