Admixture-Rechner

Dodecad K10a

Dodecad K10a — Modern 10‑component ancestry model.

Quickly quantify your autosomal ancestry across ten reference clusters (Palaeoafrican, South Asian, West Asian, Southeast Asian, Sub‑Saharan, Atlantic_Baltic, Red Sea, East Asian, Mediterranean, Siberian). Ideal for genealogy enthusiasts and researchers who want a compact, interpretable snapshot of regional affinities and admixture patterns. Use as a clear starting point for deeper genetic investigation.

10 Komponenten
World Zielregion
Dodecad Autor
Modern Epoche
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Kapitel I

Rechnerdetails

Umfassende Informationen zu diesem Admixture-Rechner

D

Dodecad

Ersteller des Rechners

Über diesen Rechner

Dodecad K10a — Modern 10‑Component Admixture Calculator

This calculator estimates the proportional ancestry of a DNA sample using a modern 10‑component model derived from global reference populations. It analyzes autosomal genotype data to report how much of an individual's genetic makeup aligns with each of the following reference clusters: Palaeoafrican, South Asian, West Asian, Southeast Asian, Sub‑Saharan, Atlantic_Baltic, Red Sea, East Asian, Mediterranean, and Siberian.

Who it's for:

  • Genetic genealogy enthusiasts seeking clearer regional affinities
  • Population geneticists and students exploring comparative models
  • Anyone curious about broad continental and subcontinental ancestry signals

What you get:

  • A quantitative breakdown (percentages) across 10 interpretable genetic components
  • Clear signals of admixture events and affinities (e.g., Atlantic_Baltic vs Mediterranean)
  • Clues about recent vs deep ancestral contributions based on component patterns

Context and interpretation: This model is a compact representation of modern genetic diversity. Each component corresponds to an allele‑frequency cluster that reflects historical population structure and migrations (for example, Red Sea may track Northeast African/Arabian links, Atlantic_Baltic captures northwestern European/Siberian interplay). The labels are heuristic: they summarize complex histories and are best interpreted as regional affinities rather than precise ethnic labels.

Why it’s valuable:

  • Provides an accessible, reproducible snapshot of ancestry with balanced geographic coverage
  • Useful as a starting point for deeper analyses (haplogroups, local ancestry, formal tests)
  • Helps users contrast competing historical scenarios and visualize admixture proportions quickly

Limitations and best practices:

  • Not a definitive report of identity — results depend on reference sampling and clustering
  • Combine with genealogical records and other genetic tools for robust conclusions

Us

Kapitel II

Referenzpopulationen

Die in diesem Rechner als genetische Referenzen verwendeten Populationen

10 Referenzpopulationen

  • Palaeoafrican: Represents ancient African ancestry, encompassing diverse early human populations on the African continent.

  • South Asian: Encapsulates populations from the Indian subcontinent, including India, Pakistan, Bangladesh, Nepal, and Sri Lanka.

  • West Asian: Refers to populations from the regions in the Near East, including parts of the Middle East and Caucasus.

  • Southeast Asian: Encompasses populations from countries like Thailand, Vietnam, Indonesia, and the Philippines.

  • Sub-Saharan: Represents populations from regions south of the Sahara desert, characterized by diverse ethnic groups and rich cultural histories.

  • Atlantic_Baltic: Covers populations from northwestern Europe, including areas around the Atlantic Ocean and the Baltic Sea.

  • Red Sea: Involves populations from the areas surrounding the Red Sea, often considered as part of the African and Arabian territories.

  • East Asian: Includes populations from China, Japan, Korea, and neighboring regions with shared historical and cultural heritage.

  • Mediterranean: Refers to populations from the Mediterranean Basin, encompassing parts of Southern Europe, North Africa, and the Levant.

  • Siberian: Represents populations from Siberia, known for its indigenous groups and vast, diverse ethnicities.

Continental Groups:

  • Africa: Palaeoafrican, Sub_Saharan, Red Sea
  • Asia: South Asian, West Asian, Southeast Asian, East Asian, Siberian
  • Europe: Atlantic_Baltic, Mediterranean
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 10 sorgfältig ausgewählte modern Populationen als Referenzen und ermöglicht eine detaillierte Darstellung Ihrer genetischen Ähnlichkeit.

So funktioniert es

  • Ihr DNA wird mit 10 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