Calculadora de mistura genética

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

Detalhes da Calculadora

Informação detalhada sobre esta calculadora de mistura genética

D

Dodecad

Criador da Calculadora

Sobre esta calculadora

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

Capítulo II

Populações de referência

As populações utilizadas como referências genéticas nesta calculadora

10 Poblaciones de referencia

  • 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
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 10 cuidadosamente seleccionadas modern populações como referências para descrever detalhadamente a semelhança genética.

Como funciona

  • Tu DNA se compara con 10 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