Admixture-Rechner

MDLP K13d

MDLP K13d is an "Ancient" era admixture calculator that estimates deep ancestral proportions across 13 global reference components (Melanesian, Western European, Paleoafrican, ANI, Middle Eastern, Northeastern European, Austronesian, ASI, Siberian, Uralic, Paleosiberian, Subsaharan, Amerindian). Designed for enthusiasts and researchers, it highlights prehistoric affinities and migration signals; results are probabilistic and best used with other genetic and archaeological evidence.

13 Komponenten
World Zielregion
MDLP Autor
Ancient Epoche
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Rechnerdetails

Umfassende Informationen zu diesem Admixture-Rechner

M

MDLP

Ersteller des Rechners

Über diesen Rechner

MDLP K13d is an “Ancient” era admixture calculator that estimates an individual’s deep ancestral composition by comparing autosomal DNA to thirteen carefully chosen reference clusters. It reports proportional affinities to Melanesian, Western European, Paleoafrican, ANI (Ancestral North Indian), Middle Eastern, Northeastern European, Austronesian, ASI (Ancestral South Indian), Siberian, Uralic, Paleosiberian, Subsaharan and Amerindian components. The emphasis is on broad, prehistoric population structure rather than recent family genealogy.

This tool is designed for a wide audience: genetic enthusiasts, students, population geneticists, archaeogenetic researchers and anyone curious about global and ancient ancestry patterns. It is particularly useful for people investigating prehistoric migrations, regional admixture histories, and the deep genetic links between continents and cultures. By placing your genotype in the context of global ancient-like reference profiles, MDLP K13d helps reveal long-term signals of gene flow and affinity that shaped modern populations.

Users can gain insights into likely ancient inputs (for example, signals related to Austronesian dispersals, Siberian and Paleosiberian contributions in northern groups, the ANI/ASI contrast in South Asia, or remnants of Paleoafrican and Subsaharan ancestry) and identify surprising or mixed patterns in multi-ancestral backgrounds. Technically, the calculator compares thousands of markers against allele-frequency profiles to estimate the most probable mixture proportions. Because it targets ancient and continental-scale signals, it is less sensitive to very recent admixture and does not provide precise genealogical relationships.

MDLP K13d is valuable because it synthesizes complex, geographically structured genetic variation into an interpretable profile that complements archaeological, linguistic and historical evidence. Component labels reflect reference clusters, not strict ethnic definitions; resul

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Referenzpopulationen

Die in diesem Rechner als genetische Referenzen verwendeten Populationen

13 Referenzpopulationen

Melanesian

  • Description: Genetic ancestry associated with populations native to the islands of Melanesia, including Papua New Guinea, Fiji, and Vanuatu.

Western European

  • Description: Genetic ancestry associated with populations of Western Europe, including countries like France, Spain, the United Kingdom, and Germany.
  • Region: Europe

Paleoafrican

  • Description: An umbrella term for ancient African lineages that predate the expansion of Bantu-speaking groups.
  • Region: Africa

ANI (Ancestral North Indian)

  • Description: A distinct ancestral component found within modern South Asian populations, particularly in northern India.
  • Region: South Asia

Middle Eastern

  • Description: Ancestry originating from populations in the Middle East, including regions like the Arabian Peninsula, Levant, and Mesopotamia.
  • Region: Middle East

Northeastern European

  • Description: Genetic ancestry linked to populations of Northeastern Europe, including the Baltic states, Finland, and parts of Russia.
  • Region: Europe

Austronesian

  • Description: Ancestry found in populations spread across Southeast Asia, Oceania, and Madagascar, linked by a common linguistic and cultural heritage.
  • Region: Asia/Oceania

ASI (Ancestral South Indian)

  • Description: A distinct ancestral component found within modern South Asian populations, particularly in southern India.
  • Region: South Asia

Siberian

  • Description: Genetic ancestry associated with indigenous communities inhabiting the vast Siberian region of Russia.
  • Region: Asia

Uralic

  • Description: Ancestry associated with populations speaking Uralic languages, found in parts of Northern Europe, Siberia, and Hungary.
  • Region: Europe/Asia

Paleosiberian

  • Description: Ancestry linked to ancient populations of Siberia, predating the arrival of more recent groups like the Northeast Asians.
  • Region: Asia

Subsaharan

  • Description: Ancestry originating from populations south of the Sahara Desert in Africa.
  • Region: Africa

Amerindian

  • Description: Genetic ancestry stemming from indigenous populations throughout North and South America.
  • Region: Americas
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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 13 sorgfältig ausgewählte ancient Populationen als Referenzen und ermöglicht eine detaillierte Darstellung Ihrer genetischen Ähnlichkeit.

So funktioniert es

  • Ihr DNA wird mit 13 Referenzpopulationen verglichen
  • Ancient-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
  • Ancient-Populationen werden als Referenzen verwendet
  • Die Prozentsätze geben relative Beiträge im Modell an
  • Die Ergebnisse sind Schätzungen auf Basis der verfügbaren Referenzdaten