Calculadora de mistura genética

GedrosiaDNA World 25

GedrosiaDNA World 25 — Modern global admixture calculator

Compare your autosomal DNA to a 27-population modern reference panel and receive a clear, 25-component breakdown of global ancestry. Ideal for genealogy enthusiasts and researchers, it highlights regional affinities and historical migration signals (Steppe, EEF, Siberian, Oceanian, African, Native American, etc.) with accessible interpretation and caveats.

25 Componentes
World Região de referência
Kurd Autor
Modern Época
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Capítulo I

Detalhes da Calculadora

Informação detalhada sobre esta calculadora de mistura genética

K

Kurd

Criador da Calculadora

Sobre esta calculadora

GedrosiaDNA World 25 — Modern global admixture calculator

GedrosiaDNA World 25 analyzes an individual's autosomal DNA against a modern reference panel to estimate ancestry proportions across the globe. Using 27 curated reference populations that span East and West Eurasia, Africa, Oceania, and the Americas, the calculator decomposes a genome into fine-grained components (World 25) to reveal regional affinities and historical admixture signals.

Who it’s for:

  • Genetic genealogy enthusiasts who want context beyond continental labels
  • Researchers seeking a compact, interpretable breakdown of global ancestry
  • People curious about historical migrations reflected in their DNA

What you get:

  • A percentage breakdown across 25 global components derived from 27 reference populations (e.g., East Asian, Siberian, Steppe, Early European Farmer, Near Eastern, South Asian, various African hunter-gatherer and Bantu-lineage references, Oceanian and Papuan, and multiple Native American clusters)
  • Visual and numerical summaries highlighting dominant ancestries and minor signals
  • Interpretive notes that connect components to known historical events (e.g., Neolithic farmer expansions, Steppe migrations, Austronesian dispersals, Native American founding waves)

Historical and genetic context: This calculator contextualizes modern genomes within major prehistoric and historic population movements. Components like EEF (Early European Farmers), W_STEPPE/E_STEPPE (Steppe ancestries), SHG/WHG hunter-gatherer signals, and multiple African and Oceanian references reflect lineages shaped by migrations, admixture, and founder effects over millennia.

Why it’s valuable:

  • Global scope: meaningful resolution across all inhabited continents
  • Balanced detail: enough components to highlight subtle mixtures without overwhelming jargon
  • Modern reference panel: tuned to contemporary population structure for results relevant to living individuals

A note on interpretation: Results are statist

Capítulo II

Populações de referência

As populações utilizadas como referências genéticas nesta calculadora

25 Poblaciones de referencia

East Asian

  • E_ASIAN: Populations from regions including China, Japan, and Korea.

Siberian & Altaic

  • ALTAIAN: Indigenous groups from the Altai region in Central Asia.
  • E_SIBERIAN: Populations native to Eastern Siberia.
  • W_SIBERIAN: Indigenous groups in Western Siberia.

Arctic

  • ARCTIC: Groups indigenous to the polar regions, such as the Inuit.

Southeast Asian & Oceanian

  • SE_ASIAN: Populations from countries like Thailand, Vietnam, and Indonesia.
  • OCEANIAN: Indigenous peoples of the Pacific Islands, including Melanesians and Polynesians.
  • PAPUAN: Indigenous peoples of Papua New Guinea and nearby regions.

Native American

  • C_AMERINDIAN: Central American indigenous populations.
  • S_AMERINDIAN: Indigenous groups of South America.
  • N_AMERINDIAN: Native American populations of North America.

Near Eastern & South Asian

  • NEAR_EASTERN: Populations from the Middle East, including ancient fertile crescent civilizations.
  • BALOCHI: An ethnic group primarily found in Iran and Pakistan.
  • S_INDIAN: Populations native to Southern India.

African

  • SSA: Sub-Saharan African populations.
  • SAN_PYGMY: Indigenous San and Pygmy groups of Southern Africa.
  • E_AFRICAN_HADZA: Indigenous Hadza populations in East Africa.
  • C_AFRICAN_BIAKA: Central African Biaka hunter-gatherer groups.
  • MBUTI: Indigenous Mbuti people of the African rainforest.

European

  • NE_EUROPEAN: Populations native to Northeast Europe including Baltic countries and Russia.
  • NEAR_EASTERN: Populations from Middle Eastern regions.
  • EEF: Early European Farmers who migrated from the Near East.
  • W_STEPPE: Western Steppe herders, including Proto-Indo-European speakers.

North African

  • N_AFRICAN: Populations from North African regions such as Egypt and the Maghreb.

Steppe

  • E_STEPPE: Eastern Steppe populations.
  • W_STEPPE: Groups from Western Steppe regions.

Prehistoric European & Siberian

  • SHG_WHG: Scandinavian Hunter-Gatherers and Western Hunter-Gatherers.

Note

Some populations share groupings across broader continental regions where classifications overlap.

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

Como funciona

  • Tu DNA se compara con 25 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