Admixture-Rechner

Global Ancestry K31

Global Ancestry K31 — a modern K=31 admixture calculator using 31 regional reference populations across Africa, Europe, Asia, Oceania and the Americas. It provides fine-grained autosomal ancestry proportions, reveals regional admixture signals and historical influences, and is designed for genealogists, researchers, and ancestry enthusiasts. Results are probabilistic and best interpreted with historical and genealogical context.

31 Komponenten
World Zielregion
DNA Genics Autor
Modern Epoche
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Kapitel I

Rechnerdetails

Umfassende Informationen zu diesem Admixture-Rechner

D

DNA Genics

Ersteller des Rechners

Über diesen Rechner

Global Ancestry K31 — a modern-era, 31-cluster admixture model tuned for worldwide comparisons. This calculator compares your genotype to a curated panel of 31 regional reference populations spanning Africa, Europe, Asia, Oceania, and the Americas to estimate ancestral proportions and reveal fine-scale continental and subcontinental signals.

What this analyzes

  • Autosomal ancestry proportions across 32 inferred clusters derived from 31 named reference populations (e.g., Central African, West African, East Asian, South Asian, West Asian, Balkan, Scandinavian, Native American, Papuan/Melanesian, Amazonian, etc.).
  • Patterns of recent admixture and deeper population structure that reflect migrations, isolation, and historical contact.

Who it's designed for

  • Genealogists and ancestry enthusiasts seeking finer regional resolution than broad continental tests.
  • Population geneticists and educators who want an accessible visualization of modern global diversity.
  • Anyone curious about mixed heritage, recent migrations, or regional affinities.

Insights you can gain

  • Percentage estimates of ancestry tied to specific regional clusters.
  • Signals of historical events (e.g., Bantu expansion, Eurasian steppe influence, Austronesian dispersals, European colonial admixture, Native American population structure).
  • How your genetic profile compares to contemporary reference groups and which regions contributed most to your autosomal DNA.

Context & limitations

  • The model reflects modern reference samples; clusters are statistical constructs, not strict ethnic labels.
  • Jewish-specific clusters were intentionally excluded; consequently Levantine or Mediterranean ancestry may map to neighboring West Asian, Middle Eastern, or Southern European components.
  • Results are probabilistic and influenced by reference coverage and sample size. Use alongside genealogical records and uniparental tests for a fuller picture.

Why this calculator is valu

Kapitel II

Referenzpopulationen

Die in diesem Rechner als genetische Referenzen verwendeten Populationen

31 Referenzpopulationen

Africa:

  • Central African: Fang, Bantu, Mbere, Kongo, Luba, and Mbuti
  • Kenyan: Luhya Kenya and Datog
  • Nigeria: Yoruba, Haussa, and Igbo
  • North African: Sahraoui, Tunisian, Morrocan, Algerian, Mozabite, and Berbers
  • Sierra Leonese: Mende
  • West African: Fon, Ewe, Mina, Kabye, Aja, Akan, Baoule, Wolof, Fula, Serer, Mandinka, Jola, Soninké, Bambara, and Dogon

Asia:

  • Cambodian and Thai: Dai, Thai, and Cambodian
  • Chinese and Vietnamese: Kinh Vietnam, Lahu, Yi, Miao, Naxi, She, Tujia, and Han China
  • Japanese and Korean: Japanese and Korean
  • Middle East: Egyptian, BedouinA, BedouinB, Syrian, Palestinian, Samaritan, Jordanian, Saudi, Yemenite Mahra, and Lebanese
  • Mongol: Kalmyk, Altaian, Tuvinian, Buriat, and Mongol
  • Peoples of Central Asia: Uzbeks, Turkmen, Hazara, Tadjik, Pashtun, Kazakh, Uighur, Kirghiz, and Bachkir
  • South Asia: Tamil, Gujarati, Marathi, Bengali, Brahui, Kalash, Burusho, Sindhi, Balochi, and Punjabi
  • West Asian: West Turkish, Abkhasian, Armenian, Chechen, Ossetian, Kumyk, Adygei, Georgian Laz, Georgian Imer, Lebanese Druze, Druze, Iran, and Balkar

Europe:

  • Balkans: Serb, Croat, Bosniak, Bulgarian, Macedonian, and Montenegrin
  • Baltic: Lithuanian, Latvian, and Estonian
  • Eastern European: Belarusian, Ukrainian, Mordovian, Russian, Polish, Hungarian, Czechs, and Slovaks
  • English: English
  • Finnish: Finnish
  • Greek and South Italian: Albanian, Greek, Greek Crête, Calabrian, West Sicilian, East Sicilian, South Italian, Maltese, and Cypriot
  • Iberian: Spanish, Portuguese, Basque, and South West French
  • Irish Scottish and Welsh: Irish, Scottish, Welsh, and Orcadian
  • Italian: Italian North, Tuscany, and Italian
  • North West Europe: German, Austrian, French, Dutch, and Belgian
  • Sardinian: Sardinian
  • Scandinavian: Norwegian, Swedish, and Danish

North America:

  • Native American: Cherokee and Sioux

Oceania:

  • Melanesian: Melanesian
  • Papuan: Papuan

South America:

  • Amazonian: Karitania, Surui, and Arawak
  • Mesoamerican and Andean: Maya, Nahua, Mixe, and Quechua
Kapitel III

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 31 sorgfältig ausgewählte modern Populationen als Referenzen und ermöglicht eine detaillierte Darstellung Ihrer genetischen Ähnlichkeit.

So funktioniert es

  • Ihr DNA wird mit 31 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