Eurogenes K13

By Eurogenes
Admixture Calculator

Calculator Details

Name
Eurogenes K13
Target Population
World
Author
Eurogenes
Era
Modern
Number of Components
13
Description
Eurogenes K13 is a modern-era admixture calculator optimized for individuals with European ancestry. It decomposes your autosomal DNA into 13 reference components β€” Amerindian, Baltic, East_Med, North Atlantic, Northeast_African, Oceanian, Red_Sea, Siberian, South_Asian, Southeast_Asian, Sub-Saharan, West_Asian, and West_Med β€” to provide a proportional portrait of ancestral affinities across Eurasia and adjacent regions. Designed for genealogists, amateur and professional population geneticists, historians, and curious individuals, this calculator highlights the relative contributions from maritime and inland European clusters, Mediterranean and West Asian sources, northern Baltic and Atlantic elements, as well as smaller signals from Siberia, Sub-Saharan Africa, and South/Southeast Asia. What it analyzes: the K13 model estimates how much of your genome best matches each reference cluster, using contemporary and aggregated population data as proxies. What you can learn: regional affinities within Europe (for example, stronger West_Med or East_Med signals), likely minor admixture from non-European neighbors, and patterns consistent with known historical processes β€” such as Neolithic farmer ancestry from the Near East, Bronze Age steppe influx reflected in northern components, and later Mediterranean or African gene flow. Importantly, the calculator reports proportions, not precise dates or definitive ethnic labels; components are statistical constructs that approximate complex demographic history. Why it’s valuable: Eurogenes K13 offers an intuitive, comparative snapshot of ancestry for people of European descent and neighboring populations. It helps place personal DNA in a broader genetic geography, generates hypotheses for further research, and complements archival genealogy and archaeological literature. Use it as a starting point for exploration: compare results against regional reference groups, combine with haplogroup and segment-based tools for deeper insigh
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Reference Populations

Amerindian: Peaks in the Americas (Karitiana, Mayan, Pima)
Baltic: Peaks in Northeast Europe and the Baltics (Estonians, Lithuanians, and Mordovians)
East_Med: Peaks in the Levant and Jews of Yemen (Lebanese Christians, Lebanese Druze, and Yemenite Jews)
North Atlantic: Peaks in Northwest Europe (French Basque, Irish, and Scottish)
Northeast_African: Peaks in the Horn of Africa (Ethiopian Ari Cultivator and Ethiopian Gumuz)
Oceanian: Peaks in Oceania/Polynesia (Papuan, Melanesians)
Red_Sea: Peaks in Arabia (Saudis)
Siberian: Peaks in Siberia (Dolgan, Evenki, and Evens)
South_Asian: Peaks in South Asia (Chamaris, Piramalai Kallars, and Sakillis)
Southeast_Asian: Peaks in Southeast Asia (Dai, Vietnamese, She, Cambodians)
Sub-Saharan: Peaks in Southern and Western Africa (Yoruban, Mandenka, Bantu, Luhya)
West_Asian: Peaks in the South Caucasus and Southeastern Iran (Abkhasians, Balochis, and Georgians)
West_Med: Peaks in the West Mediterranean Sea (Sardinians)

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 13 carefully selected modern populations as references, allowing for a detailed breakdown of your genetic heritage.

How It Works

Key Points
  • Your DNA is compared to 13 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 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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