MDLP K20c
MDLP K20c (Ancient) estimates deep ancestral proportions by comparing autosomal DNA to 20 archaeogenetic reference populations worldwide. Suited for researchers, genealogists, and history enthusiasts, it highlights hunter‑gatherer, farmer, steppe, archaic hominin, and regional Asian/African/Oceanian signals to illuminate ancient migration and admixture patterns. Model‑based—best used with complementary evidence.
Detalles de la calculadora
Información detallada sobre esta calculadora de mezcla genética
Acerca de esta calculadora
MDLP K20c (Ancient) is an autosomal admixture calculator that estimates deep ancestral composition by modeling a user’s DNA against twenty archaeogenetic reference populations drawn from across Eurasia, Africa, Oceania and the Americas. It is designed for a global audience—researchers, genetic genealogists, students of human history, and curious individuals—who want a clearer, data-driven view of the ancient building blocks that shaped modern populations.
What it analyzes: MDLP K20c quantifies proportional contributions from ancient and archaic groups such as Western and Eastern Hunter‑Gatherers (WHG, EHG), Caucasus Hunter‑Gatherer (CHG), Anatolian‑Neolithic and Early European Farmers (EEF), Natufian and North‑African sources, Siberian and Arctic components, Papuan‑Melanesian and Denisovan‑Neandertal signals, as well as South and Southeast Asian strands (ASI, SEA, EA) and additional specialized references (Kalash, SHG, Paleoafrican, Amerindian, Eskimo). These components reflect population structure, migrations, and admixture events over the last tens of thousands of years.
Insights you can gain: The calculator helps disentangle hunter‑gatherer vs. farmer ancestry, detect steppe and Caucasus‑related input, reveal archaic hominin contributions, and highlight deep regional affinities (for example South Asian vs. Southeast Asian vs. Papuan signals). It’s useful for reconstructing ancient admixture patterns, comparing individual profiles to archaeological population models, and generating hypotheses about migration routes and demographic change.
Context and value: By using ancient reference panels rather than only modern populations, MDLP K20c offers a baseline closer to ancestral source populations, improving resolution for deep-time ancestry questions. It complements archaeological and linguistic evidence and other genetic tools.
Caveats: Results are model-dependent and approximate—interpret proportions as signals, not definitive ethnic labels. Reference sampling a
Poblaciones de referencia
Las poblaciones utilizadas como referencias genéticas en esta calculadora
20 Poblaciones de referencia
- WHG (Western Hunter-Gatherer): Indigenous Mesolithic populations of Western and Central Europe before the advent of farming.
- Arctic: Represents genetic ancestry from populations native to Arctic regions, including Chukchi and Inuit groups.
- Papuan-Melanesian: Denotes the indigenous people of Papua New Guinea and Melanesia, carrying some of the oldest non-African lineages.
- African: A broad category encompassing various Sub-Saharan African populations with deep genetic diversity.
- EHG (Eastern Hunter-Gatherer): Ancient foragers of Eastern Europe and western Siberia, ancestral to many Eurasian groups.
- CHG (Caucasus Hunter-Gatherer): A distinct group from the Caucasus region, ancestral to many Indo-European and West Asian populations.
- Siberian: Genetic influence from populations inhabiting the Siberian tundra and taiga, often linked to Uralic and Altaic-speaking groups.
- Anatolian-Neolithic: Early farmers from Anatolia who migrated into Europe, initiating the Neolithic revolution.
- North-African: Refers to populations from the Maghreb, with genetic ties to both the Near East and Sub-Saharan Africa.
- EEF (Early European Farmer): A mix of Anatolian Neolithic and local European hunter-gatherer ancestry that defined early agriculturalists in Europe.
- Denisova-Neandertal: Archaic hominin ancestry inherited from interbreeding with Denisovans and Neanderthals.
- Kalash: A unique Indo-Aryan population from northern Pakistan with preserved ancient genetic signatures.
- SHG (Scandinavian Hunter-Gatherer): Ancestral population of Mesolithic Scandinavia, a mix of WHG and EHG.
- Paleoafrican: Deep-rooted African lineages predating modern population splits, often inferred from isolated or ancient groups.
- Eskimo: Refers to indigenous Arctic populations such as the Inuit and Yupik, with adaptations to extreme cold.
- Natufian: Epipaleolithic Levantine population, considered precursors to the first agriculturalists in the Near East.
- Amerindian: Native populations of the Americas, descended from Siberian ancestors who migrated during the last Ice Age.
- EA (East Asian): Represents modern East Asian populations including Han Chinese, Japanese, and Koreans.
- SEA (Southeast Asian): Includes populations from Southeast Asia such as Vietnamese, Thai, Malay, and others.
- ASI (Ancestral South Indian): An ancient and distinct South Asian component, especially present in Dravidian-speaking populations.
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 20 cuidadosamente seleccionadas ancient poblaciones como referencias para describir con detalle la similitud genética.
Cómo funciona
- Tu ADN se compara con 20 poblaciones de referencia
- Ancient 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
- Ancient se utilizan como referencias
- Los porcentajes indican contribuciones relativas en el modelo
- Los resultados son estimaciones basadas en los datos de referencia disponibles