Calculadora de mezcla genética

Global Ancestry K27 2025

Global Ancestry K28 — High-resolution autosomal admixture

Discover the regional and continental composition of your DNA with a K28-style model mapped to 23 modern reference groups. Ideal for genealogists, adoptees, and researchers, it provides a clear proportional breakdown and historical context—highlighting migrations and mixtures that shaped your ancestry. Probabilistic, interpretable, and designed for exploration.

27 Componentes
World Región de referencia
DNA Genics Autor
Modern Época
Desplázate para explorar
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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 K28 — Modern autosomal admixture at continental and regional resolution

This calculator analyzes your autosomal DNA and estimates the proportional ancestry you share with a curated set of modern reference populations. Using a high-resolution K28-style model tuned to 23 broad and regional groups, the tool places your genome on a continuum from continental-scale components (African, East Asian, European, Amerindian) down to regional clusters (Anatolian, Levantine, West Med, Horn of Africa, Siberian, Finnic, South Asian, etc.).

Who it’s for

  • Genealogy enthusiasts and adoptees seeking detailed family origins
  • Students and researchers comparing population structure in modern cohorts
  • Anyone curious about how recent and ancient migrations shape personal ancestry

What insights you gain

  • A proportional breakdown of ancestry across 23 modern reference groups
  • Highlights of likely regional contributions (e.g., Anatolian farmer-related, Steppe-associated, West African, East African/ Horn signals)
  • Context for unexpected components (historic trade routes, colonial-era admixture, long-distance migrations)

Historical and genetic context Human populations are the product of repeated migrations, isolates and mixtures: Out-of-Africa dispersals, Neolithic farming spread from Anatolia, Bronze Age steppe movements, Silk Road contacts, and more recent colonial and slave-trade-era exchanges. This calculator situates your DNA within that continuum using contemporary reference samples representing those geographic and historical legacies.

Why this calculator is valuable

  • Balances broad continental categories with focused regional clusters for nuanced interpretation
  • Designed for clarity: proportions are presented as interpretable components rather than deterministic labels
  • Useful as a starting point for deeper research, genealogical triangulation, or curiosity-driven exploration

Notes: this is an ancestry inference tool, not a medical tes

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Poblaciones de referencia

Las poblaciones utilizadas como referencias genéticas en esta calculadora

27 Poblaciones de referencia

Africa:

  • Broadly African: Refers to a general genetic heritage from the African continent without specific regional emphasis.
  • East African: Populations primarily from countries like Kenya, Ethiopia, and Somalia.
  • West African: Populations from regions including Nigeria, Ghana, and Senegal.

Americas:

  • Amerindian: Indigenous peoples of North and South America.

Asia:

  • Anatolian: Populations located in present-day Turkey, historically known as Asia Minor.
  • Broadly Central Asian: Encompasses populations from countries such as Kazakhstan and Uzbekistan.
  • Broadly Indian: Covers the Indian subcontinent, including India, Pakistan, and Bangladesh.
  • East Asian: Incorporates populations from China, Japan, and Korea.
  • South Asian: Primarily focuses on populations from India, Pakistan, Bangladesh, and Sri Lanka.
  • West Asian: Encompasses populations from regions like Iran and the Arabian Peninsula.

Europe:

  • Broadly Balkan: Refers to populations from Southeast Europe including countries like Greece, Bulgaria, and Serbia.
  • Broadly Caucasian: Covers the ethnic diversity of the Caucasus region, including Armenia, Azerbaijan, and Georgia.
  • Broadly Levantine: Encompasses populations from Lebanon, Syria, Jordan, and Israel.
  • Broadly North African: Refers to populations from the Maghreb region, including Morocco and Algeria.
  • Broadly Peninsula Arab: Populations from the Arabian Peninsula.
  • Eastern European: Originates from countries like Russia, Poland, and Ukraine.
  • Finnish: Populations exclusively from Finland.
  • West European: Encompasses populations from countries such as France, Germany, and the UK.

Oceania:

  • West Med: Often a misnomer, but typically relates to populations around the Mediterranean region, primarily referring to the Western part.

Other:

  • Broadly Horn of Africa: Populations from areas such as Somalia, Ethiopia, and Eritrea.
  • Broadly Siberian: Relates to indigenous peoples from Siberian regions.
  • East Med: Populations from Eastern Mediterranean areas, including Cyprus and surrounding countries.
  • North African: Populations from countries such as Egypt, Libya, and Tunisia.
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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 27 cuidadosamente seleccionadas modern poblaciones como referencias para describir con detalle la similitud genética.

Cómo funciona

  • Tu ADN se compara con 27 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