MDLP K22
MDLP K22 estimates your genetic ancestry by comparing your genotype to 22 global reference populations. Designed for researchers, genealogists and curious users worldwide, it reveals both continental and finer-scale signals—such as ANI/ASI, Austronesian, Arctic and Melanesian components—giving a nuanced, probabilistic portrait of modern and deep ancestry within a global context.
Detalles de la calculadora
Información detallada sobre esta calculadora de mezcla genética
Acerca de esta calculadora
MDLP K22 is a high-resolution admixture calculator that estimates the proportional ancestry of an individual by comparing their genotype to a curated panel of 22 global reference populations. Built for a wide audience—population geneticists, family historians, citizen scientists and curious users worldwide—this tool blends modern and deep ancestry signals to reveal where your genetic roots align across continents and subregions. The calculator models contributions from 22 reference groups (African_HunterGatherer, Amerindian, ANI, ASI, Austronesian, Caucasian, Eastafrican, EastArctic, Easteuropean, FarEast, Finnic, Mediterranean, Melanesian, Onge, Papuan, Polinesian, Siberian, EastAsian, Subsaharian, Uralic, WestArctic, Westeuropean) enabling detection of major continental components as well as finer-scale signatures such as South Asian ANI/ASI structure, Austronesian/Pacific lineages, Arctic and Uralic influences, and deep African and Melanesian ancestries. Results are presented as percentage components that you can interpret alongside known historical migrations: Out-of-Africa dispersals, the peopling of the Americas, Austronesian expansion, Indo-European movements, and more recent regional admixture events. MDLP K22 is valuable because it situates personal genomes within a global comparative framework, helps generate testable hypotheses about ancestral origins, and complements documentary genealogy, archaeology and linguistics. Users should note that admixture estimates are probabilistic and rely on the composition of the reference panel; components act as proxies for ancestral sources rather than labels for individuals. With clear visual breakdowns and a broad, globally representative panel, MDLP K22 offers an informative, nuanced perspective on genetic ancestry for both expert analysis and personal exploration.
Poblaciones de referencia
Las poblaciones utilizadas como referencias genéticas en esta calculadora
22 Poblaciones de referencia
African_HunterGatherer: Populations traditionally living as hunter-gatherers in Africa, often with distinct genetic lineages from other African groups.
Amerindian: Indigenous peoples of the Americas, with diverse cultures and languages, originally from Asia.
ANI (Ancestral North Indian): Ancient population ancestry related to both Middle Eastern and Central Asian groups, present in North India.
ASI (Ancestral South Indian): Ancient population ancestry indigenous to South India, distinct from ANI.
Austronesian: Maritime Southeast Asia and Pacific Islander populations, known for seafaring and island settlement.
Caucasian: Populations originating from the Caucasus region, sometimes encompassing people from Europe, North Africa, and parts of the Middle East.
Eastafrican: Groups residing in Eastern Africa, with diverse cultures and languages.
EastArctic: Indigenous peoples of the Eastern Arctic regions, adapted to cold environments.
Easteuropean: Ethnic groups from Eastern Europe, often Slavic, Baltic, and others.
FarEast: Populations from countries in East Asia, including China, Japan, Korea, and Mongolia.
Finnic: Uralic-speaking populations in Finland and parts of Russia.
Mediterranean: People from the Mediterranean region, including Southern Europe, North Africa, and the Near East.
Melanesian: Indigenous peoples of Melanesia, a subregion of Oceania composed of islands in the Pacific Ocean.
Onge: Indigenous Andaman Islanders of South Asia, one of the world's oldest isolated populations.
Papuan: Indigenous peoples of Papua New Guinea and neighboring islands, with unique cultural identities.
Polinesian: People from Polynesia, known for their navigational prowess and island-hopping history.
Siberian: Ethnic groups native to Siberia, known for adapting to harsh climates.
EastAsian: Populations from East Asia, characterized by shared genetic and cultural heritage.
Subsaharian: Ethnically diverse populations living south of the Sahara Desert in Africa.
Uralic: Peoples speaking Uralic languages, found in areas from Northern Europe to Western Siberia.
WestArctic: Indigenous peoples inhabiting the Western Arctic regions.
Westeuropean: Populations from Western Europe, typically Germanic, Romance, and Celtic ethnic groups.
Continental Grouping:
- Africa: African_HunterGatherer, Eastafrican, Subsaharian
- Americas: Amerindian
- Asia: ANI, ASI, EastAsian, Siberian, Onge
- Europe: Caucasian, Easteuropean, Finnic, Uralic, Westeuropean
- Oceania: Austronesian, Melanesian, Papuan, Polinesian
- Arctic Regions: EastArctic, WestArctic
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 22 cuidadosamente seleccionadas modernas y antiguas poblaciones como referencias para describir con detalle la similitud genética.
Cómo funciona
- Tu ADN se compara con 22 poblaciones de referencia
- Modernas y antiguas 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
- Modernas y antiguas se utilizan como referencias
- Los porcentajes indican contribuciones relativas en el modelo
- Los resultados son estimaciones basadas en los datos de referencia disponibles