Calculadora de mezcla 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 Región de referencia
Kurd Autor
Modern Época
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Capítulo I

Detalles de la calculadora

Información detallada sobre esta calculadora de mezcla genética

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Kurd

Creador de la calculadora

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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

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Poblaciones de referencia

Las poblaciones utilizadas como referencias genéticas en esta 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.

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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 25 cuidadosamente seleccionadas modern poblaciones como referencias para describir con detalle la similitud genética.

Cómo funciona

  • Tu ADN se compara con 25 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