Admixture-Rechner

LM Genetics K47

LM Genetics K47 — Global Ancestry at High Resolution

A modern-era admixture calculator comparing your DNA to 44 global reference populations. Ideal for researchers, genealogists, and ancestry enthusiasts, it provides detailed regional percentages, highlights historical admixture signals, and distinguishes fine-scale components across Africa, Europe, Asia, Oceania and the Americas. Informative, globally comprehensive, and designed for exploration.

47 Komponenten
World Zielregion
LM Genetics Autor
Modern Epoche
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Kapitel I

Rechnerdetails

Umfassende Informationen zu diesem Admixture-Rechner

L

LM Genetics

Ersteller des Rechners

Über diesen Rechner

LM Genetics K47 — Global Admixture Calculator (Modern era)

LM Genetics K47 analyzes an individual’s genome to estimate ancestry proportions against a broad, globally distributed panel of 44 reference populations. It is designed for researchers, genealogy enthusiasts, and anyone curious about their deep and recent ancestral makeup. By comparing your genotype to diverse modern and hunter‑gatherer reference groups, K47 produces a clear breakdown of regional components and signals of past migrations.

What it analyzes

  • Genome-wide ancestry proportions across Africa, Europe, Asia, Oceania and the Americas.
  • Fine distinctions such as North vs. East Iberian, Caucasus subregions, and hunter‑gatherer components.
  • Both recent admixture and deeper population structure (e.g., Siberian → Native American connections).

Reference coverage highlights

  • African lineages (Kushitic, Nilotic, Sahelian, West‑African, Central‑ & South‑African HG)
  • European substructure (Iberian, Balkan, Baltic, Volgan, Uralic, Germanic, Celtic, Med)
  • Asian gradients (NE Asian, Mongolian, Turkic‑Altai, Tibeto‑Burman, South‑Chinese, Malay)
  • Oceanian and American groups (Papuan, Proto‑Austronesian, North/Meso/Amazonian/Andean)
  • Specialized groups (Pamirian, Iranian, Indo‑Chinese, Munda, Amuro‑Manchurian)

Insights you can gain

  • Quantitative regional ancestry percentages and relative affinities.
  • Clues about historical events (migrations, expansions, admixture episodes) that shaped your profile.
  • A refined context for genealogical records and oral history.

Why it’s valuable LM Genetics K47 offers wide geographic breadth and fine resolution that help distinguish close regional signatures. Its combination of modern and hunter‑gatherer references enhances sensitivity to both recent and ancient admixture. Use it to complement family history research or as an exploratory tool for population genetics studies.

Notes & limitations Ancestry estimates depend on reference represent

Kapitel II

Referenzpopulationen

Die in diesem Rechner als genetische Referenzen verwendeten Populationen

47 Referenzpopulationen

Africa

  1. Kushitic: Indigenous populations of the Horn of Africa with ancient linguistic and cultural ties.
  2. North-African: Populations of the Maghreb region, including Berbers and other Afro-Mediterranean groups.
  3. Omotic: Indigenous peoples of southwestern Ethiopia, named after the Omotic language family.
  4. Nilotic: Ethnic groups of the Nile Valley, particularly in South Sudan, Kenya, and Uganda.
  5. Sahelian: Populations living in the semi-arid Sahel region, bridging the Sahara and sub-Saharan Africa.
  6. Central-African_HG: Hunter-gatherer groups of Central Africa, including pygmy populations.
  7. South-African_HG: Hunter-gatherer groups of southern Africa, such as the San people.
  8. West-African: Indigenous populations of West Africa, including Mandé, Yoruba, and others.
  9. East-African_HG: Hunter-gatherer groups of East Africa, with ancient genetic lineages.

Europe

  1. North-Iberian: Populations from the northern Iberian Peninsula, including Basque and other regional groups.
  2. East-Iberian: Populations from the eastern Iberian Peninsula, with Mediterranean influences.
  3. North-Caucasian: Ethnic groups from the northern Caucasus Mountains, including Chechens and Avars.
  4. South-Caucasian: Populations from the southern Caucasus, such as Armenians and Georgians.
  5. Paleo-Balkan: Ancient populations from the Balkan Peninsula, such as Illyrians and Thracians.
  6. East-Euro: Eastern European populations, primarily Slavic groups.
  7. Volgan: Populations around the Volga River, including Finno-Ugric and Tatar groups.
  8. Baltic: Populations of the Baltic region, including Lithuanians and Latvians.
  9. West-Finnic: Western Finno-Ugric populations, such as Finns.
  10. Uralic: Populations from the Ural Mountains region, with Finno-Ugric linguistic ties.
  11. North-Sea_Germanic: Populations from the North Sea region, including early Germanic tribes.
  12. Celtic: Populations associated with Celtic-speaking regions, including Ireland, Scotland, and Brittany.
  13. Scando-Germanic: Populations from Scandinavia and northern Germany.
  14. West-Med: Western Mediterranean populations, with links to ancient Carthaginian and Roman civilizations.
  15. Central-Med: Populations from the central Mediterranean, including Italian and Maltese groups.
  16. East-Med: Eastern Mediterranean populations, with ties to ancient Greek and Levantine civilizations.

Asia

  1. Tibeto-Burman: Populations in the Himalayan region and surrounding areas speaking Tibeto-Burman languages.
  2. Turkic-Altai: Turkic-speaking populations with origins in the Altai Mountains.
  3. Proto-Austronesian: Ancestral populations of Austronesian-speaking groups across Southeast Asia and Oceania.
  4. Munda: Indigenous populations of central and eastern India, speakers of Munda languages.
  5. Indo-Chinese: Populations from the Indo-China region, encompassing Vietnam, Cambodia, and Laos.
  6. South-Indian: Populations of southern India with Dravidian linguistic and cultural heritage.
  7. NE-Asian: Populations of Northeast Asia, including Koreans and Japanese.
  8. Mongolian: Populations of Mongolia and surrounding steppes.
  9. Siberian: Indigenous populations of Siberia, including Turkic and Tungusic groups.
  10. Iranian: Populations from the Iranian plateau and its historical Persian empire regions.
  11. Malay: Populations of the Malay Peninsula and parts of maritime Southeast Asia.
  12. South-Chinese: Ethnic groups from southern China, including Cantonese and Hmong.
  13. Papuan: Indigenous populations of Papua New Guinea and nearby islands.
  14. Amuro-Manchurian: Populations from the Amur River basin and Manchuria.
  15. Pamirian: Populations from the Pamir Mountains, with links to Central Asia.

Americas

  1. North-Amerind: Indigenous populations of North America, including Plains and Arctic groups.
  2. Meso-Amerind: Indigenous populations of Mesoamerica, including Maya and Aztec descendants.
  3. Amazonian: Indigenous groups of the Amazon rainforest.
  4. Andean: Indigenous populations of the Andes Mountains, such as Quechua and Aymara speakers.
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 47 sorgfältig ausgewählte modern Populationen als Referenzen und ermöglicht eine detaillierte Darstellung Ihrer genetischen Ähnlichkeit.

So funktioniert es

  • Ihr DNA wird mit 47 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