Egy K9

By Egy
Admixture Calculator

Calculator Details

Name
Egy K9
Target Population
World
Author
Egy
Era
Ancient
Number of Components
9
Description
Egy K9 is an ancient-era admixture calculator that estimates the proportionate contribution of nine archetypal ancestral components in a test genome. It compares your DNA to a curated panel of ancient reference populations — Anatolia_N (early Neolithic farmers), CHG (Caucasus hunter‑gatherers), EHG (Eastern European hunter‑gatherers), East_Asian, Iran_N (early Iranian farmers), Amerindian, Oceanian, SHG (Scandinavian hunter‑gatherers) and African — to reconstruct deep-time ancestry signals and place individuals on a simplified map of prehistoric genetic variation. Designed for researchers, genetic genealogists, educators and curious users worldwide, Egy K9 emphasizes long-term population structure rather than recent close kin relationships. The calculator returns percentage estimates for each reference component, identifies dominant ancestral influences, and highlights low-level or unexpected inputs (for example East Asian, Oceanian, Amerindian or African signals in primarily Eurasian profiles). Outputs include plain-language summaries, confidence indicators, comparative regional averages, and interactive visuals that make the genetic history accessible to non-specialists while remaining useful to experts. Egy K9 helps users explore major prehistoric processes: the expansion of Anatolian farmers into Europe, persistence and re‑mixing of hunter‑gatherer groups such as EHG and SHG, the Caucasus/Iranian contributions associated with CHG and Iran_N, and the signature of long-distance gene flow that produces non‑Eurasian admixture. Because it models deep ancestry using a compact nine-population panel, results are especially informative for situating modern and ancient samples within broad migratory and demographic narratives. The calculator relies on robust statistical fitting against the reference panel and reports caveats: resolution is limited by the chosen references, small percentages can reflect either true minor ancestry or noise, and the tool is designed for d
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Reference Populations

  • Anatolia_N: Represents the Neolithic populations from Anatolia, an area known for early agricultural societies.

  • CHG: Refers to the Caucasus Hunter-Gatherers, ancient populations from the Caucasus region.

  • EHG: Denotes Eastern European Hunter-Gatherers, from regions spreading across modern-day Russia.

  • East_Asian: Populations from the East Asian region, covering China, Korea, and Japan.

  • Iran_N: Represents Neolithic populations from Iran, who were among early farming communities.

  • Amerindian: Refers to indigenous peoples of the Americas, with deep prehistoric roots in the continent.

  • Oceanian: Encompasses the indigenous populations of the Pacific Islands, including Melanesians, Micronesians, and Polynesians.

  • SHG: Scandinavian Hunter-Gatherers, early populations residing in Scandinavia.

  • African: Represents the diverse indigenous populations across the African continent.

Grouped by Continent:

  • Europe: Anatolia_N, EHG, SHG
  • Asia: CHG, East_Asian, Iran_N
  • America: Amerindian
  • Oceania: Oceanian
  • Africa: African

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

How It Works

Key Points
  • Your DNA is compared to 9 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
  • 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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