Ancient Sub-Saharan Africa
Genetic Space Analysis
Analyzing your genetic similarity to ancient Sub-Saharan African reference samples...
Preparing your genetic-similarity report
Genetic Space Analysis
Your position among 184 ancient reference samples on a principal component map. Points that sit close together have similar genetic profiles.
Sub-Saharan Africa contains the deepest and most diverse population histories represented in the human story.
Principal component map
PCA reduces the N-dimensional ADMIXTURE reference panel to selected axes in a shared, reference-fixed ADMIXTURE PCA space. The chart currently shows the selected components. Variance percentages are global to that shared model and are not re-fit per report. Distance and filtering use the original N-dimensional ADMIXTURE values. Your kit is the gold diamond. This is not a Global25/Vahaduo plot.
Closest references in full ADMIXTURE space
This table is the non-visual equivalent of the chart and uses full-dimensional distance rather than apparent 2D spacing.
| Reference | Period | Place/date | Distance |
|---|
Nearest reference samples
How to read this map
Principal component analysis (PCA) compresses many genetic measurements into a few axes that capture the largest differences between the reference samples. Each axis shows the share of variation it explains. Distances on the map are approximate; the table uses Admixture distance, where a lower value means closer similarity.
Being near a sample or group on this map indicates genetic similarity to that reference data. It does not show descent from a specific individual or population.