See Your Genetics in 3D
PCA Analysis
Visualize your genetic position in three-dimensional space with interactive plots showing how your DNA relates to thousands of global populations.
Your Position in Genetic Space
Principal Component Analysis reveals your genetic position relative to thousands of reference populations, showing patterns invisible in simple percentages.
Principal Component Analysis
Interactive 3D visualization with 5,453 modern references & 29,688+ ancient samples
Population Legend
Closest Matches
Your Closest Genetic Matches
Based on 25 principal components (PC1-PC25) analyzed against 5,453 modern reference populations
| Population | Region | Distance | Similarity | PC1 | PC2 |
|---|---|---|---|---|---|
| Sardinian | Mediterranean | 0.0048 | 99.5% | 0.0198 | -0.0156 |
| Southern Italian | Mediterranean | 0.0019 | 99.8% | 0.0223 | -0.0172 |
| Greek | Mediterranean | 0.0036 | 99.6% | 0.0267 | -0.0201 |
| Sicilian | Mediterranean | 0.0011 | 99.9% | 0.0245 | -0.0189 |
| Spanish | Iberia | 0.0011 | 99.9% | 0.0234 | -0.0198 |
| Portuguese | Iberia | 0.0025 | 99.8% | 0.0212 | -0.0176 |
| French | Western Europe | 0.0057 | 99.4% | 0.0212 | -0.0134 |
| German | Central Europe | 0.0105 | 98.9% | 0.0178 | -0.0098 |
| British | Northern Europe | 0.0108 | 98.9% | 0.0156 | -0.0112 |
| Swedish | Northern Europe | 0.0085 | 99.1% | 0.0167 | -0.0134 |
| Lebanese | Levant | 0.0125 | 98.7% | 0.0312 | -0.0089 |
| Palestinian | Levant | 0.0149 | 98.5% | 0.0334 | -0.0076 |
| Turkish | Anatolia | 0.0084 | 99.2% | 0.0289 | -0.0123 |
| Iranian | Iran | 0.0273 | 97.3% | 0.0378 | 0.0045 |
| Iraqi | Mesopotamia | 0.0304 | 97.0% | 0.0401 | 0.0067 |
| Egyptian | North Africa | 0.0390 | 96.1% | 0.0412 | -0.0534 |
| Moroccan | Maghreb | 0.0330 | 96.7% | 0.0389 | -0.0478 |
| Algerian | Maghreb | 0.0365 | 96.3% | 0.0401 | -0.0512 |
| Georgian | Caucasus | 0.0122 | 98.8% | 0.0356 | -0.0198 |
| Polish | Central/Eastern Europe | 0.0055 | 99.4% | 0.0198 | -0.0145 |
| Hungarian | Central/Eastern Europe | 0.0051 | 99.5% | 0.0187 | -0.0167 |
| Tajik | Central Asia | 0.0311 | 96.9% | 0.0378 | 0.0089 |
| Uzbek | Central Asia | 0.0352 | 96.5% | 0.0401 | 0.0123 |
| Basque | Iberia | 0.0062 | 99.4% | 0.0201 | -0.0134 |
| Syrian | Levant | 0.0132 | 98.7% | 0.0323 | -0.0089 |
| Kazakh | Central Asia | 0.0339 | 96.6% | 0.0301 | 0.0145 |
| Armenian | Caucasus | 0.0148 | 98.5% | 0.0334 | -0.0078 |
| Cypriot | Mediterranean | 0.0059 | 99.4% | 0.0289 | -0.0167 |
| Nubian | Nile Valley | 0.0338 | 96.6% | 0.0423 | -0.0467 |
| Cretan | Mediterranean | 0.0044 | 99.6% | 0.0278 | -0.0189 |
| Maltese | Mediterranean | 0.0079 | 99.2% | 0.0301 | -0.0145 |
| Calabrese | Mediterranean | 0.0020 | 99.8% | 0.0234 | -0.0167 |
| Andalusian | Iberia | 0.0025 | 99.8% | 0.0256 | -0.0198 |
| Catalan | Iberia | 0.0054 | 99.5% | 0.0278 | -0.0156 |
| Galician | Iberia | 0.0039 | 99.6% | 0.0267 | -0.0167 |
| Jordanian | Levant | 0.0148 | 98.5% | 0.0345 | -0.0089 |
| Kabyle | Maghreb | 0.0366 | 96.3% | 0.0378 | -0.0523 |
| Tuareg | Maghreb | 0.0429 | 95.7% | 0.0356 | -0.0598 |
| Albanian | Balkans | 0.0062 | 99.4% | 0.0267 | -0.0134 |
| Parisian | Western Europe | 0.0075 | 99.2% | 0.0198 | -0.0121 |
| Occitan | Western Europe | 0.0042 | 99.6% | 0.0234 | -0.0145 |
| Breton | Western Europe | 0.0038 | 99.6% | 0.0212 | -0.0156 |
| Bavarian | Central Europe | 0.0097 | 99.0% | 0.0189 | -0.0101 |
| Prussian | Central Europe | 0.0094 | 99.1% | 0.0156 | -0.0134 |
| Rhinelander | Central Europe | 0.0095 | 99.1% | 0.0201 | -0.0098 |
| Northern Italian | Mediterranean | 0.0053 | 99.5% | 0.0267 | -0.0145 |
| Tuscan | Mediterranean | 0.0059 | 99.4% | 0.0289 | -0.0167 |
| Ashkenazi Jewish | Central/Eastern Europe | 0.0099 | 99.0% | 0.0223 | -0.0089 |
| Sephardic Jewish | Iberia/Mediterranean | 0.0076 | 99.2% | 0.0289 | -0.0134 |
| Mizrahi Jewish | Levant | 0.0149 | 98.5% | 0.0334 | -0.0076 |
| Roma | Central/Eastern Europe | 0.0225 | 97.7% | 0.0278 | 0.0034 |
| Afghan | Central Asia | 0.0317 | 96.8% | 0.0389 | 0.0089 |
| Baloch | Central Asia | 0.0352 | 96.5% | 0.0401 | 0.0123 |
| Kyrgyz | Central Asia | 0.0372 | 96.3% | 0.0378 | 0.0156 |
Scroll the table sideways to see all columns.
Understanding PCA Analysis
Principal Component Analysis is a statistical technique that reveals hidden genetic patterns by reducing complex DNA data into interpretable dimensions
SNP Analysis
Your DNA is scanned across 500K+ single nucleotide polymorphisms (SNPs), capturing genetic variation at population-level scales. These SNPs represent positions where people vary in their DNA sequences.
Component Extraction
Advanced algorithms extract 25 principal components (PC1-PC25) that capture the major axes of genetic variation. PC1 typically separates major geographic/continental groups, while PC2-25 capture finer regional and population-specific patterns.
Multidimensional Positioning
Your DNA coordinates are calculated across all 25 dimensions, creating a unique "genetic fingerprint" that captures your ancestry patterns. This goes far beyond simple percentages: it reveals nuanced ancestry relationships.
Population Comparison
Your coordinates are compared against 5,453 modern references and 29,688+ ancient samples. Genetic distance is calculated to find your closest matches, revealing populations that share your ancestral origins and genetic background.
Explore Your Genetic Position
Available on any paid plan. View your data in stunning 3D detail with interactive filtering and population comparisons.