Geno MENA K14

By GENO MENA TEAM
Admixture Calculator

Calculator Details

Name
Geno MENA K14
Target Population
World
Author
GENO MENA TEAM
Era
Modern and ancient
Number of Components
14
Description
Geno MENA K14 is an autosomal admixture calculator that deconvolves your genome into 14 ancestral components spanning the Middle East, North Africa, Europe, South and East Asia, and Sub-Saharan Africa. Built for a ModernAncient framework, it blends contemporary and ancient reference panels to reveal deep population signals — from Neolithic farmers and Bronze Age herders to regional hunter-gatherer and pastoralist lineages. Who it’s for: genealogists, adoptees, enthusiastic consumers, population geneticists, historians and anthropologists seeking accessible, interpretable ancestry breakdowns. Because the calculator uses broad, historically informative reference groups, it is suitable for users from any region of the world who want to explore both recent and ancient ancestry contributions. What it analyzes and the insights you can gain: Geno MENA K14 estimates proportional ancestry from 14 sources — Anatolian_Farmers, MidEast_Early_Farmers, MidEast_Herders, WestEuropean_HG, SubSaharan_South, SubSaharan_North, Caucasian_HG, North_Eurasian, North_African_HG, Iranian_HG, South_Asian, East_Asian, EastEuropean_HG and Kalasha_Herders. Outputs include percentage breakdowns, ranked contributions, and regional affinity signals that help you infer migration pulses (e.g., Neolithic expansion from Anatolia, Iranian plateau inputs, North Eurasian/steppe influence) and subsequent admixture with African, South Asian or East Asian sources. Historical and genetic context: The components reflect major demographic episodes: agricultural expansions from the Fertile Crescent, ancient Caucasus and Iranian hunter-gatherer influence, local European hunter-gatherer substrata, Saharan and sub-Saharan gene flow, and isolated pastoralist signatures (e.g., Kalasha_Herders). By combining ancient and modern panels, the calculator highlights time-depth while remaining relevant to present-day genomes. Why it’s valuable: Geno MENA K14 provides a balanced, interpretable view of complex ancestry for
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Reference Populations

Anatolian_Farmers: Early agrarian communities in Anatolia.

  • MidEast_Early_Farmers: Initial farming populations in the Middle East.

  • MidEast_Herders: Nomadic pastoralist groups in the Middle East.

  • WestEuropean_HG: Hunter-gatherers in Western Europe.

  • SubSaharan_South: Indigenous people south of the Sahara.

  • SubSaharan_North: Populations in northern Sub-Saharan Africa.

  • Caucasian_HG: Hunter-gatherer groups in the Caucasus region.

  • North_Eurasian: Ancient populations in Northern Eurasia.

  • North_African_HG: Early human groups inhabiting North Africa.

  • Iranian_HG: Ancient hunter-gatherers in the Iranian region.

  • South_Asian: Diverse populations in the South Asian subcontinent.

  • East_Asian: Populations native to East Asia.

  • EastEuropean_HG: Early hunter-gatherers in Eastern Europe.

  • Kalasha_Herders: Traditional herding communities among the Kalasha people.

What is Admixture Analysis?

Admixture analysis is a method used to estimate your genetic ancestry by comparing your DNA to reference populations from around the world. Think of it as creating a recipe of your genetic makeup, where the ingredients are different ancestral populations.

This calculator uses 14 carefully selected modern and ancient populations as references, allowing for a detailed breakdown of your genetic heritage.

How It Works

Key Points
  • Your DNA is compared to 14 reference populations
  • Modern populations are used as references
  • Results show your genetic similarity to these populations

Understanding Your Results

Your results will show percentages of genetic similarity to these reference populations. Remember:

  • Results reflect genetic similarity, not direct ancestry
  • Modern and ancient populations are used as references
  • Percentages indicate relative genetic contribution from each population
  • Results are estimates based on available reference data
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