Admixture-Rechner

Global Ancestry K33 2023

Global Ancestry K33 2023 — A high-resolution global admixture calculator using 33 reference populations. It estimates proportional ancestry across Africa, Eurasia, the Americas and Oceania while excluding Jewish reference clusters, offering a clear, non-Jewish baseline for genealogy, population studies and personal exploration. Results are model-based estimates, not medical or legal determinations.

34 Komponenten
World Zielregion
DNA Genics Autor
Modern Epoche
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Rechnerdetails

Umfassende Informationen zu diesem Admixture-Rechner

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DNA Genics

Ersteller des Rechners

Über diesen Rechner

Global Ancestry K33 2023

This calculator analyzes an individual's autosomal DNA and estimates proportional ancestry using a 33-population global reference panel. Built for the modern era (K=34 structure) it provides a fine-grained admixture breakdown across Eurasia, Africa, the Americas and Oceania while intentionally omitting Jewish reference clusters to provide a non-Jewish baseline.

What this calculator analyzes:

  • Genome-wide allele frequencies compared to 33 geographically and culturally informed reference populations
  • Relative proportions that best explain an individual's genetic makeup in the context of recent and long-term admixture

Who it's designed for:

  • Genealogy enthusiasts and direct-to-consumer DNA users seeking a clearer global picture
  • Population genetics students and researchers needing a broad, cross-continental baseline
  • People curious about regional signals without the influence of Jewish reference clusters

Key insights you can gain:

  • Percentage breakdowns of ancestry components (e.g., West-Asian, Scandinavian, West-African, Native-American)
  • Detection of mixed continental ancestry and subtle regional contributions
  • A framework to interpret historical migration, trade and demographic events reflected in your genome

Historical and genetic context:

  • Modern human populations reflect layered histories: ancient expansions, recent migrations and local admixture
  • This calculator interprets those layers through contemporary reference samples, highlighting geographic clines (e.g., Eurasian, African, East Asian) and island/Oceanian signatures

Why this calculator is valuable:

  • Broad, global coverage with 33 reference populations gives balanced resolution across continents
  • The deliberate exclusion of Jewish clusters offers an alternative comparative baseline for users who prefer or require that context
  • Clear, interpretable output suitable for both non-specialists and informed users

Important notes:

  • Resu
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Referenzpopulationen

Die in diesem Rechner als genetische Referenzen verwendeten Populationen

34 Referenzpopulationen

Anatolian

  • Populations: Turkish, Kurdish, and Armenian

Balkan

  • Populations: Croats, Serbs, Bosniaks, and Albanians

Baltic

  • Populations: Lithuanians, Latvians, and Estonians

Caucasus

  • Populations: Georgians, Armenians, Azeris, and Russians

Central-African

  • Populations: Kongo, Luba, and Mongo

Central-Asian

  • Populations: Uzbeks, Kazakhs, Kyrgyz, Tajiks, and Turkmen

Cyprus

  • Populations: Greek and Turkish Cypriots

East-African

  • Populations: Swahili, Maasai, and Somali

East-Asian

  • Populations: Chinese, Japanese, and Korean

Eastern-European

  • Populations: Russians, Poles, Ukrainians, and Belarusians

Eskimo-Inuit

  • Description: Arctic regions of North America, including Alaska and Canada

Finnish

  • Description: Finland

Finno-Ugric

  • Description: An ethnic group native to parts of Russia, Finland, and Estonia

French_Basque

  • Description: The Basque Country, an autonomous community in northern Spain and southwestern France

Iberian

  • Populations: Spanish, Portuguese, and Basques

Irish-Scottish-Welsh

  • Populations: The Irish, Scottish, and Welsh

Melanesian

  • Description: Ethnic group native to the Melanesian region, including Papua New Guinea, Fiji, and the Solomon Islands

Mixed-Amerindian

  • Populations: Maya, Aztec, and Inca

Native-American

  • Populations: Cherokee, Navajo, and Sioux

Nigerian

  • Populations: Hausa, Igbo, and Yoruba

North-African

  • Populations: Egyptians, Moroccans, Tunisians, and Libyans

North-Atlantic

  • Populations: English, Irish, Scottish, and Welsh

Northwestern-European

  • Populations: Germans, French, Dutch

Sardinian

  • Description: Sardinian

Scandinavian

  • Populations: Danish, Norwegian, and Swedish

Siberian

  • Populations: Buryats, and Tuvans

South-African

  • Populations: Zulu, Xhosa, and Afrikaner

South-Asian

  • Populations: Indians, Pakistanis, Bangladeshis, and Sri Lankans

Southeast-Asian

  • Populations: Vietnamese, Thai, Indonesian, and Filipino

Southern-European

  • Populations: Italian, and Greek

West-African

  • Populations: Ashanti, Fula, and Yoruba

West-Asian

  • Populations: Arabs, Persians, Kurds, and Turkmens

Yakut

  • Description: An ethnic group native to Siberia in Russia
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Admixture-Analyse verstehen

Erfahren Sie, wie Admixture-Rechner arbeiten und wie Sie Ihre Ergebnisse einordnen

Was ist eine Admixture-Analyse?

Bei einer Admixture-Analyse wird Ihre genetische Ähnlichkeit geschätzt, indem Ihr DNA mit Referenzpopulationen aus verschiedenen Weltregionen verglichen wird. Die Komponenten des Modells stehen für diese Referenzen und hängen von den zugrunde liegenden Daten und Annahmen ab.

Dieser Rechner nutzt 34 sorgfältig ausgewählte modern Populationen als Referenzen und ermöglicht eine detaillierte Darstellung Ihrer genetischen Ähnlichkeit.

So funktioniert es

  • Ihr DNA wird mit 34 Referenzpopulationen verglichen
  • Modern-Populationen dienen als genetische Referenzen
  • Die Ergebnisse zeigen Ihre genetische Ähnlichkeit zu diesen Populationen
  • Ein vielfältiges Referenzpanel verbessert die Schätzungen

Ihre Ergebnisse verstehen

Ihre Ergebnisse zeigen Prozentsätze der genetischen Ähnlichkeit zu diesen Referenzpopulationen. Beachten Sie diese Punkte:

  • Die Ergebnisse spiegeln genetische Ähnlichkeit wider, nicht nachgewiesene direkte Abstammung
  • Modern-Populationen werden als Referenzen verwendet
  • Die Prozentsätze geben relative Beiträge im Modell an
  • Die Ergebnisse sind Schätzungen auf Basis der verfügbaren Referenzdaten