Geno MENA K14
Geno MENA K14 compares your DNA to 14 ancient and modern reference groups to reveal detailed ancestry across the Middle East, North Africa, Caucasus, Anatolia, Iran and South Asia. It quantifies farmer, herder and hunter–gatherer contributions plus Sub‑Saharan and Eurasian inputs—ideal for enthusiasts, researchers and anyone exploring deep regional admixture. Results are model-based estimates to inform, not conclude.
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Geno MENA K14 — ModernAncient Admixture Calculator
Geno MENA K14 analyzes your genotype against a curated panel of 14 reference groups spanning ancient and modern populations to reveal deep ancestral structure across West Eurasia, North Africa, the Middle East, South Asia and adjacent regions. The calculator estimates proportional ancestry from farming, herding and hunter–gatherer source groups, regional hunter-gatherer clines, and trans-regional influences such as Sub-Saharan and East Asian inputs.
Who this is for
- Genetic genealogy enthusiasts, researchers and students exploring population history
- People with ancestry from the Middle East, North Africa, Caucasus, Anatolia, Iran and South Asia
- Anyone curious about how ancient migrations and local admixture shaped modern genomes
What it measures
- Relative contribution from 14 reference populations:
- Anatolian_Farmers, MidEast_Early_Farmers, MidEast_Herders
- WestEuropean_HG, SubSaharan_South, SubSaharan_North
- Caucasian_HG, North_Eurasian, North_African_HG
- Iranian_HG, South_Asian, East_Asian
- EastEuropean_HG, Kalasha_Herders
- Proportions reflect similarity to these source clusters, highlighting farmer/herder/forager and regional ancestry components
Historical and genetic context The MENA region and surrounding zones have been crossroads of Neolithic farming spread, Bronze Age migrations, steppe and highland pastoralist movements, and long-distance gene flow. By combining ancient and modern reference panels, Geno MENA K14 helps disentangle layered admixture signals—e.g., Anatolian farmer vs. Iranian highland vs. Caucasus contributions—and detect peripheral influences like Sub-Saharan or East Asian gene flow.
Why it’s valuable
- Offers fine-grained, interpretable ancestry breakdown tailored to the MENA–Eurasian interface
- Useful for framing personal or regional genetic histories in archaeological and historical terms
- Clear visual and numerical outputs that support foll
Poblaciones de referencia
Las poblaciones utilizadas como referencias genéticas en esta calculadora
14 Poblaciones de referencia
Anatolian_Farmers: Early agrarian communities in Anatolia.
MidEast_Early_Farmers: Initial farming populations in the Middle East.
MidEast_Herders: Nomadic pastoralist groups in the Middle East.
WestEuropean_HG: Hunter-gatherers in Western Europe.
SubSaharan_South: Indigenous people south of the Sahara.
SubSaharan_North: Populations in northern Sub-Saharan Africa.
Caucasian_HG: Hunter-gatherer groups in the Caucasus region.
North_Eurasian: Ancient populations in Northern Eurasia.
North_African_HG: Early human groups inhabiting North Africa.
Iranian_HG: Ancient hunter-gatherers in the Iranian region.
South_Asian: Diverse populations in the South Asian subcontinent.
East_Asian: Populations native to East Asia.
EastEuropean_HG: Early hunter-gatherers in Eastern Europe.
Kalasha_Herders: Traditional herding communities among the Kalasha people.
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 14 cuidadosamente seleccionadas modernas y antiguas poblaciones como referencias para describir con detalle la similitud genética.
Cómo funciona
- Tu ADN se compara con 14 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