Dodecad K7b

By Dodecad
Admixture Calculator

Calculator Details

Name
Dodecad K7b
Target Population
World
Author
Dodecad
Era
Modern
Number of Components
7
Description
Dodecad K7b is a modern, global admixture calculator that decomposes an individual's autosomal genotype into a compact set of ancestral components. Built on the Dodecad community framework and tuned for broad, cross-continental contrasts, the K7b model summarizes genetic variation into seven major ancestry signals while using a diverse set of world reference samples (including South Asian, West Asian, Siberian, African, Southern, Atlantic_Baltic, East Asian, Asian and European populations) to anchor and interpret those signals. Who it’s for: K7b is designed for enthusiasts, genealogists, population geneticists and students who want a clear, interpretable portrait of major ancestral influences in a worldwide context. It is especially useful for people with mixed backgrounds, researchers comparing population-level patterns, and anyone seeking a coarse-grained complement to more fine-scaled regional models. Insights you can gain: The calculator highlights proportional contributions from broad ancestral clusters, revealing major continental affinities (for example, West Eurasian, South Asian, East Asian, Siberian, and African-related ancestry) and the relative balance among them. Users can detect dominant deep ancestry, observe signals of historical admixture (e.g., Eurasian–African blends), and compare samples to global reference anchors. Context and limitations: Admixture models like K7b are simplifications that depend on reference choice and marker sets. K7b emphasizes broad, interpretable components rather than fine-scale local structure; it is not intended to pinpoint recent single-surname ancestors or precise geographic locales. Results are best used alongside historical, archaeological, and genealogical information. Why it’s valuable: By providing a concise, visualizable summary of major genetic influences, Dodecad K7b helps users orient themselves on the global genetic map, compare individuals and populations, and frame deeper investigations with higher-res
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Reference Populations

  • South Asian

    • Populations from the Indian subcontinent, including ethnic groups from India, Pakistan, Bangladesh, and Sri Lanka.
  • West Asian

    • Populations from the Middle East, including ethnic groups from regions such as Anatolia, Iran, and the Arabian Peninsula.
  • Siberian

    • Indigenous populations from Siberia, spanning northern Russia, including groups like the Evenki and Chukchi.
  • African

    • Diverse ethnic groups from the African continent, with a wide range of genetic diversity, including Sub-Saharan and Saharan peoples.
  • Southern

    • [Please provide additional context for this category, as it is ambiguous without further information.]
  • Atlantic_Baltic

    • Populations from around the Baltic Sea and Atlantic regions of Europe, including ethnic groups from Scandinavia, the Baltic States, and parts of Northern Europe.
  • East Asian

    • Populations from East Asia, including ethnic groups from China, Japan, Korea, and parts of Southeast Asia.

Grouped by Continent

  • Asian

    • South Asian
    • West Asian
    • Siberian
    • East Asian
  • African

    • African
  • European

    • Atlantic_Baltic

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 7 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 7 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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