Your Global Heritage Across 72 World Populations
Discover your genetic connections to populations spanning every inhabited continent — from European and African communities to Asian, American, Middle-Eastern, and Oceanian peoples.
Understanding the K72 Analysis
One of the most comprehensive global ancestry analyses available
About This Analysis
The 1000 Genomes HGDP K72 analysis combines two landmark genetic reference datasets to provide unparalleled insight into your global ancestry. With 72 distinct populations represented, this analysis offers one of the most detailed breakdowns of genetic heritage available.
1000 Genomes Project
- 2,504 individuals from 26 populations
- Comprehensive catalog of human genetic variation
- High-density SNP and structural variant data
- International collaboration spanning multiple continents
Human Genome Diversity Project
- 1,043 individuals from 51 populations
- Traditionally underrepresented groups
- Indigenous and isolated populations
- Critical genetic diversity data
72 Global Populations
Spanning every inhabited continent
European
10 populationsEast Asian
22 populationsAfrican
13 populationsSouth Asian
14 populationsMiddle Eastern
5 populationsAmericas
8 populationsYour K72 Genetic Composition
Your genetic ancestry across 72 global populations
At-a-Glance Summary
Quick Insights
- Your DNA shows genetic connections to 21 distinct population groups
- Explore the detailed breakdown below to see all your ancestral components
- Use the AI Assistant to get personalized interpretations of your K72 results
1000 Genomes HGDP K72 Composition
72 Population Categories
K72 Insights
- 72 distinct populations analyzed
- Global continental coverage
- Combined 1000G + HGDP reference
- High-resolution breakdown
Regional Coverage
AI-Powered Analysis
Get personalized insights about your K72 ancestry
AI ASSISTANT by DNAGENICS
This AI analysis is limited to geographical regions and percentage distributions only. No additional data or personal information is included in this analysis.
Try these questions:
Technical Details & FAQs
Understanding the science behind your K72 results
ADMIXTURE Algorithm
Maximum likelihood estimation determines your ancestry proportions by comparing your DNA to 72 reference populations.
Percentage Interpretation
Percentages represent genetic similarity to populations, not exact ancestry fractions from specific ancestors.
Statistical Estimates
Small percentages (<3%) may represent statistical noise. Focus on larger components for meaningful insights.
Reference Panel
Results depend on the reference populations. Some regions have better coverage than others in the combined dataset.
The K72 analysis is one of the most comprehensive global ancestry analyses available, featuring 72 distinct populations from the combined 1000 Genomes Project and Human Genome Diversity Project reference panels. This provides:
- Greater resolution for detecting diverse ancestry components
- Coverage of traditionally underrepresented populations
- Both common and rare ancestral signatures
The percentages represent genetic similarity scores, not exact ancestry fractions. A 15% match to a population means 15% of your analyzed genetic markers are most similar to that population's typical patterns.
Focus on larger percentages (>5%) for meaningful connections. Very small percentages (<2%) may represent statistical noise or very ancient, distant connections.
The detail level depends on the reference populations available in the 1000 Genomes and HGDP datasets:
- East Asia: 22 populations — the most detailed coverage
- South Asia: 14 populations — extensive coverage
- Africa: 13 populations — good diversity representation
- Europe: 10 populations — focused on major groups
- Americas: 8 populations — covering indigenous and admixed groups
- Middle East: 5 populations — key regional groups
The K72 analysis compares your DNA to modern reference populations, reflecting ancestry patterns that have developed over the last several hundred to a few thousand years. It captures:
- Recent ancestry from the last 500-1000 years
- Population movements and admixture events
- Regional genetic signatures that persist today
For deep ancient ancestry (thousands of years back), consider our ancient DNA analyses which compare to archaeological samples.
Technical Methodology
ADMIXTURE Algorithm
We use the ADMIXTURE software, a maximum likelihood-based tool for estimating individual ancestry proportions. The algorithm models each individual's genome as a mixture of K ancestral populations (K=72 in this analysis) and estimates the proportions that best explain the observed genetic data.
Combined Reference Panel
The reference panel combines data from the 1000 Genomes Project (2,504 individuals, 26 populations) and the Human Genome Diversity Project (1,043 individuals, 51 populations). This combined panel provides comprehensive global coverage with representation from every major world region.
SNP Selection
The analysis uses a curated set of ~300,000+ autosomal SNPs selected for informativeness about population structure. These markers have been filtered for quality, linkage disequilibrium, and population differentiation.
Quality Metrics
Results undergo quality checks including genotype call rate thresholds, concordance verification, and cross-validation to ensure reliability. The algorithm's convergence is verified across multiple independent runs.