Calculadora de mistura genética

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 Componentes
World Região de referência
DNA Genics Autor
Modern Época
Desplázate para explorar
Capítulo I

Detalhes da Calculadora

Informação detalhada sobre esta calculadora de mistura genética

D

DNA Genics

Criador da Calculadora

Sobre esta calculadora

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

Capítulo II

Populações de referência

As populações utilizadas como referências genéticas nesta calculadora

31 Poblaciones de referencia

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
Capítulo III

Como interpretar a análise de mistura genética

Descubra como funcionam as calculadoras de mistura genética e como interpretar os resultados

O que é a análise de mistura genética?

A análise de mistura genética estima a semelhança genética comparando o seu DNA com populações de referência de diferentes partes do mundo. Os componentes do modelo representam essas referências e dependem dos dados e pressupostos utilizados.

Esta calculadora utiliza 31 cuidadosamente seleccionadas modern populações como referências para descrever detalhadamente a semelhança genética.

Como funciona

  • Tu DNA se compara con 31 poblaciones de referencia
  • Modern se utilizan como referencias genéticas
  • Os resultados mostram a sua semelhança genética com estas populações
  • A diversidade do painel de referência influencia as estimativas

Como interpretar seus resultados

Os resultados mostram percentagens de similaridade genética com estas populações de referência. Tenha presente estes pontos:

  • Os resultados reflectem a semelhança genética, não ascendência directa demonstrada
  • Modern se utilizan como referencias
  • As percentagens indicam contribuições relativas no modelo
  • Os resultados são estimativas baseadas nos dados de referência disponíveis