🎯 Accurate Results Breakdown

Detailed analysis of K=10 cross-validated ancestry components with statistical validation and methodological transparency

✅ Validated Scientific Results

Cross-validation analysis confirms K=10 as optimal resolution (CV=0.51482) across 61,816 samples using 143,495 high-quality SNPs

📊 K=10 Ancestry Components

Cross-validated optimal model with statistical confidence measures

64.3%
Middle Eastern/Levantine
Primary ancestry component showing strong connection to Levantine populations. Validated through multiple analytical methods including PCA and IBD analysis.
Component 6 Primary Signal Ancient Validated
23.4%
Caucasus/Armenian
Secondary component indicating Caucasus region ancestry. Shows connectivity to Armenian and broader Caucasus populations through genetic clustering.
Component 3 Secondary Signal Caucasus Pattern
10.3%
African/Sub-Saharan
African ancestry component detected through comprehensive analysis. Represents historical population movements and deep ancestry patterns.
Component 2 African Signal Historical Pattern
1.9%
European
Minor European component representing background European ancestry. Small but statistically significant contribution to overall genetic profile.
Component 8 Minor Signal European Background

📈 Statistical Validation

61,816
Total Samples Analyzed
143,495
High-Quality SNPs
0.51482
Cross-Validation Error
K=10
Optimal Model

🏺 Validated Ancient DNA Connections

Ancient individuals with strongest genetic affinity based on ADMIXTURE analysis

I16327.AG
Bronze/Iron Age Levant
0.0206 distance
I14343_d.AG
Ancient Near Eastern
0.0205 distance
I11095.AG
Bronze Age Mediterranean
0.0398 distance

🔬 Analysis Methodology

ADMIXTURE Analysis

Cross-validated K=10 model selection using maximum likelihood estimation with 10-fold cross-validation to determine optimal ancestral components.

Quality Control

Rigorous SNP filtering including MAF >0.01, LD-pruning, and missing data thresholds. 143,495 high-quality markers retained from initial dataset.

Population Panel

Comprehensive reference panel including ancient DNA samples (AADR database), modern populations (1000 Genomes, SGDP), and targeted regional samples.

Validation Methods

Multi-method validation including PCA analysis, IBD segment detection, and genetic distance calculations for independent confirmation.

🧪 Scientific Approach

✅ Research-Grade Analysis

  • Cross-validation optimization - Statistical model selection
  • Multi-method validation - ADMIXTURE, PCA, IBD convergence
  • Comprehensive datasets - 61,816 samples including ancient DNA
  • Quality control standards - Rigorous SNP filtering protocols
  • Transparent methodology - Open documentation of methods

❌ Commercial Limitations

  • Fixed reference panels - Limited population coverage
  • Proprietary algorithms - No methodological transparency
  • Marketing-driven results - Emphasis on broad categories
  • No statistical validation - Lack of confidence measures
  • Limited ancient context - Modern populations only

🏆 Key Findings

Primary Ancestry

64.3% Middle Eastern/Levantine component represents dominant genetic signal with ancient validation through I16327.AG connection.

Statistical Confidence

K=10 model selection validated through cross-validation (CV=0.51482) demonstrating optimal resolution for ancestry inference.

Ancient Connections

Bronze/Iron Age Levant relationships confirmed through multiple independent analytical methods and genetic distance measures.

Research Standards

Analysis meets academic research standards with transparent methodology and reproducible results using validated protocols.

🔬 Explore the Complete Analysis

Dive deeper into the methodology, examine detailed results, or explore the ancient DNA connections that validate these findings.

Technical Methodology Complete Results Ancient Matches