DNA report catalog
Start with historical population reports, then explore population matching, lineage branches, advanced models, and archaic genome comparisons. Results describe statistical genetic similarity to reference data and are not proof of a personal family tree.
01 · Start here
Explore reports centered on culturally and geographically defined historical reference populations.
Available
Compare your DNA with Viking-era reference populations and explore similarity patterns across Scandinavia and wider Europe.
Available
Explore genetic similarity to Celtic-associated reference populations from Iron Age and later European contexts.
Available
Compare your genetic profile with early farmer and hunter-gatherer panels that shaped populations across multiple regions.
Available
Explore genetic similarity across Ashkenazi, Sephardic, Mizrahi, and other carefully selected Jewish reference panels.
Available
Compare your DNA with ancient and historical reference populations from Spain and Portugal.
Available
Explore similarity to historical reference populations from England, Scotland, Wales, and Ireland.
Available
Compare your profile with reference populations associated with prehistoric, Etruscan, Roman, and medieval Italy.
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Explore similarity to reference populations spanning Neolithic, Indus Valley, Gandhara, Kushan, and Himalayan contexts.
Available
Explore similarity to East Asian reference populations across prehistoric, imperial, and medieval contexts.
Available
Compare your profile with reference populations associated with the Near East and North Africa across multiple eras.
Available
Explore similarity to reference populations from mainland Southeast Asia, Island Southeast Asia, and Oceania.
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Compare your profile with Nordic and Germanic reference populations across prehistoric and historical periods.
Available
Explore similarity to reference populations from the Balkans and Southeast Europe across multiple cultural periods.
Available
Compare your DNA with Central European reference populations spanning prehistoric and early medieval contexts.
Available
Compare your profile with Baltic, Slavic, and forest-zone reference populations from Eastern Europe.
Available
Explore similarity to Steppe and Siberian reference populations across prehistoric and historical periods.
Coming soon
Compare your profile with reference populations associated with major periods and cultures across the Americas.
Details available at launch
Coming soon
Explore similarity to reference populations spanning ancient foragers, farming expansions, and later African cultures.
Details available at launch
Coming soon
Explore similarity to Western European reference populations associated with megalithic, Bronze Age, and later groups.
Details available at launch
02 · Compare populations
Compare your genetic profile with historical, contemporary, and ancient reference datasets.
Available
Compare shared DNA patterns with historical reference populations and view population-level similarity across regions.
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Explore genetic similarity to contemporary reference populations and see how comparison estimates vary by region.
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Compare chromosomal segments with ancient individuals from archaeological datasets and inspect match context by sample.
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Model your genetic profile against ancient reference panels spanning world regions and thousands of years.
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Analyze population structure with a 72-component model based on Human Genome Diversity Project reference data.
03 · Explore lineage branches
Estimate maternal and paternal lineage branches from mtDNA and available Y-DNA markers.
Available
Estimate your mitochondrial haplogroup branch and explore its placement, age ranges, and migration context.
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Estimate your Y-DNA haplogroup branch and explore its placement, subclades, and migration context where Y data is available.
04 · Go deeper
Use specialized models and data-quality reports to investigate specific parts of your genetic dataset.
Available
Explore more than 30 population-mixture models designed for different geographic and historical comparison questions.
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Examine X-chromosome population-component estimates separately from autosomal results for an additional comparison view.
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Analyze selected HLA variants and compare population-frequency patterns associated with immune-system diversity.
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Identify regions with lower SNP coverage so you can understand data limitations before interpreting downstream analyses.
05 · Compare archaic genomes
Measure similarity to available Neanderthal and Denisovan reference genomes.
Available
Measure genetic similarity to Neanderthal reference genomes and review selected variants associated with studied traits.
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Measure genetic similarity to available Denisovan reference genomes and explore population-level comparison context.
06 · Scientific methodology
Each method answers a different question. Expand the panels to see how the visual models work and what they can support.
Ancient and contemporary samples are organized into comparison panels with geographic, temporal, and archaeological context.
Chromosomal comparisons, mixture models, PCA-based coordinates, IBS, and haplogroup placement provide complementary views.
Validation and data-quality checks support interpretation, while results remain statistical estimates rather than genealogical proof.
Chromosomal analysis compares smaller windows of your DNA with reference panels instead of relying only on a single global estimate. Where the data supports it, phasing can separate inherited chromosome copies to provide additional context.
Segment-level similarity can identify informative regions, but it does not prove descent from a named person or group.
Admixture analysis models a genetic profile as a mixture of selected ancient or contemporary reference components. Percentages show the best fit for that model and reference set, so values can differ between calculators.
Components are model-based similarities, not fixed measures of ethnicity or identity.
Principal component analysis places a genetic profile in a mathematical coordinate space. G25 uses 25 dimensions, while Oracle searches for nearby reference populations and combinations that minimize distance.
Distance reflects similarity within the selected coordinate model; it is not a genealogical relationship.
IBS analysis identifies allele states or segment patterns shared with ancient and contemporary samples. Longer or repeated matching regions can strengthen a similarity signal when data quality and marker density are sufficient.
IBS similarity alone does not establish a recent common ancestor or direct descent.
Haplogroup analysis uses Y-DNA or mitochondrial markers to estimate placement on paternal or maternal phylogenetic trees. Branch age ranges and migration maps provide population-history context for that lineage branch.
A haplogroup represents one lineage branch and does not summarize a person's complete ancestry.
07 · How it works
Choose the report that fits your question, then follow one clear workflow.
Use raw data from 23andMe, AncestryDNA, MyHeritage, FamilyTreeDNA, Living DNA, Nebula Genomics, and other supported providers.
Check file compatibilityThe selected method compares the relevant markers with its ancient, historical, contemporary, or lineage reference data.
Review interactive visualizations, quality context, and interpretation guidance for the report's statistical estimates.
Most reports are generated within 24–48 hours after file upload and order confirmation.
Purchased reports remain available in your account, including applicable updates to their analysis.
Support is available to help with file compatibility, access, and understanding the report interface.
