Global Ancestry K45
Global Ancestry K45 maps your genome to a high‑resolution panel of 33 reference populations to reveal fine regional ancestry across Africa, Europe, Asia, Oceania and the Americas. Ideal for genealogists, researchers and curious users, it highlights subtle subcontinental signals (e.g. Anatolia, Persia, Finno‑Ugric, South Indian, Papuan) and frames personal DNA within human migration history.
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Información detallada sobre esta calculadora de mezcla genética
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Global Ancestry K45 — what it analyzes
This calculator decomposes an individual's genome into up to 45 modeled components using a curated panel of 33 modern and regionally informative reference populations. It measures proportions of shared genetic ancestry across Africa, Europe, West and Central Asia, South and East Asia, Oceania and the Americas to reveal fine-grained regional signals rather than broad continental labels.
Who it's designed for
- Genetic genealogy enthusiasts and adoptees seeking more precise regional clues
- Researchers and students comparing population structure or admixture patterns
- Anyone curious about how recent and ancient migrations shaped their DNA
What insights you can gain
- Percentage breakdowns of ancestry linked to specific regions (e.g. West Africa, Anatolia/Caucasus, Baltic, Persia/Mesopotamia, Southern Indian Subcontinent, Papuan)
- Detection of minor components that signal historical contacts (e.g. Siberian, Finno‑Ugric, North Amerindian)
- A nuanced view of European substructure (Basque, Sardinian, North Italy, Iberian, Scandinavian, England)
Historical and genetic context
Modern human genomes are mosaics of lineages shaped by repeated migrations, isolations and admixture events — Out‑of‑Africa dispersals, the spread of agriculture, steppe migrations, maritime contacts and prehistoric colonizations of Oceania and the Americas. K45 uses contemporary reference panels to map these echoes onto individual genomes, helping to place personal ancestry into that global story.
Why this calculator is valuable
- High resolution across underrepresented regions (e.g. North East Africa, Tibeto‑Burmese, South Central Asia)
- Balanced set of 33 references for both large continental groups and fine regional subgroups
- Actionable clues for follow‑up genealogical research without overclaiming precision
Interpretation note
Results are model-based estimates dependent on reference choices and are most informative as
Poblaciones de referencia
Las poblaciones utilizadas como referencias genéticas en esta calculadora
45 Poblaciones de referencia
Africa:
- Central Africa: Home to diverse ethnic groups, including the Bantu peoples.
- East Africa: Known for its ancient kingdoms and Swahili culture.
- North East Africa: Includes parts of the Horn of Africa, rich in history.
- South Africa: Known for its multicultural population and Apartheid history.
- West Africa: Rich in history and cultural diversity, home to the Sahara.
Asia:
- Anatolian and Caucasus: Bridging Europe and Asia, diverse ethnic groups.
- Arabia Levant Egypt: Cradle of ancient civilizations and the Arab world.
- Central Asian: Known for the Silk Road and nomadic cultures.
- China: One of the world's oldest civilizations, with diverse ethnicities.
- Finno-Ugric: Ethnic groups with Uralic languages, spread across northern Eurasia.
- Japan and Korea: East Asian nations with rich, distinct cultures.
- Melanesia: Includes indigenous peoples of Pacific islands.
- Papuan: Indigenous peoples of Papua New Guinea and neighboring regions.
- Persia and Mesopotamia: Regions with ancient historical legacies.
- Siberia: Vast Russian region with indigenous groups and varying cultures.
- South Central Asia: Includes diverse ethnic groups of the Indian subcontinent.
- Southern Indian Subcontinent: Distinct cultures and languages of South India.
- Tibeto-Burmese: Ethnic groups spread across Tibet and Burma.
- Vietnam and South China: Regions with rich history and cultural intersections.
Europe:
- Balkans: Known for its complex history and ethnic diversity.
- Baltic: Includes Lithuania, Latvia, and Estonia with shared historical ties.
- Basque and South West France: Unique Basque culture and romance-language influence.
- Eastern European: Diverse cultures and historical Eastern bloc connections.
- French German: Rich historical ties, shared borders, and integrated cultures.
- Greece and Albania: Cradle of Western civilization and Balkan charm.
- Iberian: Includes Spain and Portugal with shared Latin heritage.
- Irish Scottish Welsh: Celtic roots with rich folklore and history.
- North Italy: Distinct cultural identity with Roman and Mediterranean influence.
- Sardinian: Unique island culture with ancient roots.
- Scandinavian: Includes Norway, Sweden, and Denmark, known for Viking history.
- England: Rich colonial history and cultural influence worldwide.
Oceania:
- Melanesia: Home to a mosaic of cultures and thousands of islands.
North America:
- North Amerindian: Indigenous peoples with diverse cultures across the continent.
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 45 cuidadosamente seleccionadas modern poblaciones como referencias para describir con detalle la similitud genética.
Cómo funciona
- Tu ADN se compara con 45 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