Delphi Global K30

By DNA Genics
Admixture Calculator

Calculator Details

Name
Delphi Global K30
Target Population
World
Author
DNA Genics
Era
Modern
Number of Components
30
Description
Delphi Global K30 is a modern-era, world-scale admixture calculator that quantifies an individual’s genomic affinities against a curated panel of 29 reference populations spanning Africa, Europe, Asia, the Americas and Oceania. Using genome-wide allele-frequency patterns, the tool estimates proportional ancestry from components such as Cushitic, Khoisan, Niger-Congo, Nilotic, Dravidian, Gedrosia, Siberian, Mediterranean (East/West), Arabian, Maghrebi, Mesopotamian, multiple Native American branches, Oceania and a suite of regional Eurasian clusters. It is designed for researchers, genetic genealogists, students and curious individuals who have genotype data and want a clear, comparative picture of their ancestral makeup at a global resolution. Users gain insights into major continental ancestries, regional European or Asian affinities (e.g., Scandic vs. Germanic vs. Brittonic Gaelic), South Asian signals (Dravidian, Gedrosia), African substructure, the presence of Siberian/Tuvan-related inputs, and distinct Native American subcomponents. The calculator contextualizes these signals within well-known historical processes—such as Out-of-Africa dispersals, Bantu expansions, Eurasian steppe movements, Austronesian and East Asian migrations, and the peopling of the Americas—while emphasizing that component labels are simplified proxies for continuous genetic variation. Delphi Global K30 is valuable because it offers a balanced, interpretable baseline for exploring both deep and recent admixture, detecting minor ancestral contributions, and comparing results across global populations. Users should note methodological limits: results depend on the chosen K and reference sample composition, and estimates are probabilistic, not definitive assignments to specific tribes or recent ancestors. For robust interpretation combine admixture results with PCA, local-ancestry analyses, haplogroup data and historical records.
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Reference Populations

Africa:

  • Cushitic: Oromo, Somali
  • Khoisan: San (Bushmen)
  • Niger Congo: Akan, Bantu, Ewe, Yoruba
  • Nilotic: Dinka, Luo, Maasai
  • Rainforest: Baka, Mbuti, Pygmies
  • Swahili: Kenyan, Tanzanian

Asia:

  • Dravidian: Tamil
  • Far-East: Chinese, Japanese, Korean
  • Gedrosia: Brahui
  • Indochinese: Khmer, Vietnamese
  • Miao-Yi-Dai: Hmong, Dai
  • Siberian: Yakut
  • Tuvan: Tuvans

Europe:

  • Atlantic: Northwestern French
  • Brittonic Gaelic: Irish, Scottish, Welsh
  • Central: Czech, Hungarian, Polish, Slovak
  • Eastern: Bulgarian, Romanian, Russian, Ukrainian
  • Germanic: English, German, Dutch
  • Scandic: Swedish, Finnish, Icelandic
  • Mediterranean-West: Sardinian

MENA:

  • Mediterranean East: Lebanese, Palestinian, Syrian
  • Arabian: Saudi, Yemeni
  • Armenian: Armenian
  • Maghrebi: Algerian, Moroccan, Tunisian
  • Mesopotamian: Assyrian, Chaldean

Native American:

  • Native American Central: Nahuatl, Maya
  • Native American North: Inuit, Iroquois
  • Native American South: Mapuche, Quechua

Oceania:

  • Oceania: Melanesian, Micronesian, Polynesian

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 30 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 30 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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