Calculadora de mezcla genética

Global Ancestry K32 with Jewish Populations

Global Ancestry K32 — K=32 global admixture calculator

Discover your genetic ancestry with a 32-component model spanning Africa, Eurasia, the Americas, and Oceania. Ideal for curious individuals, genealogists, and researchers, it returns percentage estimates of regional ancestry, highlights historical migration signals, and provides clear, interpretable results with caveats about probabilistic resolution.

32 Componentes
World Región de referencia
DNA Genics Autor
Modern Época
Desplázate para explorar
Capítulo I

Detalles de la calculadora

Información detallada sobre esta calculadora de mezcla genética

D

DNA Genics

Creador de la calculadora

Acerca de esta calculadora

Global Ancestry K32 — Modern, high-resolution global admixture analysis

This calculator estimates global ancestry proportions using a K=32 model built from 32 geographically and genetically informed reference populations. It compares a user's genotype to a worldwide reference panel to produce a clear breakdown of ancestry components, from continental-scale clusters (e.g., West African, East Asian, Native American) to finer regional signals (e.g., Balkans, Sardinian, Ashkenazi Jewish).

Who it's for

  • Individuals curious about deep and recent ancestry
  • Genealogists and family historians seeking regional signals
  • Researchers and students exploring human population structure

What it analyzes

  • Overall admixture proportions across 32 reference groups
  • Relative genetic affinities reflecting ancient migrations and recent gene flow
  • Statistical confidence and caveats about resolution and overlap

Insights you can gain

  • Percentage estimates for ancestral components across Eurasia, Africa, the Americas, and Oceania
  • Detection of mixtures consistent with historical events: Bantu expansion, Eurasian steppe movements, Silk Road admixture, Mediterranean exchanges, transatlantic and trans-Saharan contacts, Austronesian and Papuan distributions
  • How modern populations relate to regional genetic clusters used as references

Context & value

Human populations reflect millennia of migration and local interaction. The K32 model provides a mid-to-high level resolution that helps reveal both broad continental ancestry and nuanced regional signals. It's valuable for adding genetic perspective to oral histories, testing hypotheses about migration, or providing an informative complement to genealogical records.

Important notes

  • Results are probabilistic estimates dependent on reference composition and SNP overlap.
  • Interpret outputs as evidence of affinity to reference groups, not direct labels of identity.
  • For higher-resolution or medically relevant analyses, combine
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Poblaciones de referencia

Las poblaciones utilizadas como referencias genéticas en esta calculadora

32 Poblaciones de referencia

Africa:

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

Asia:

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

Europe:

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

North America:

  • Native American: Cherokee, Sioux

Oceania:

  • Melanesian: Melanesian
  • Papuan: Papuan

South America:

  • Amazonian: Karitania, Surui, Arawak
  • Mesoamerican and Andean: Maya, Nahua, Mixe, Quechua
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Cómo interpretar el análisis de mezcla genética

Descubre cómo funcionan las calculadoras de mezcla genética y cómo interpretar los resultados

¿Qué es el análisis de mezcla genética?

El análisis de mezcla genética estima la similitud genética comparando tu ADN con poblaciones de referencia de distintas partes del mundo. Los componentes del modelo representan esas referencias y dependen de los datos y supuestos utilizados.

Esta calculadora utiliza 32 cuidadosamente seleccionadas modern poblaciones como referencias para describir con detalle la similitud genética.

Cómo funciona

  • Tu ADN se compara con 32 poblaciones de referencia
  • Modern se utilizan como referencias genéticas
  • Los resultados muestran tu similitud genética con estas poblaciones
  • La diversidad del panel de referencia influye en las estimaciones

Cómo interpretar tus resultados

Los resultados muestran porcentajes de similitud genética con estas poblaciones de referencia. Ten presentes estos puntos:

  • Los resultados reflejan similitud genética, no ascendencia directa demostrada
  • Modern se utilizan como referencias
  • Los porcentajes indican contribuciones relativas en el modelo
  • Los resultados son estimaciones basadas en los datos de referencia disponibles