Eurogenes K10 Steppe
Eurogenes K10 Steppe provides a 10-component ModernAncient admixture breakdown tailored to Europe, emphasizing Steppe-related ancestry. Using reference clusters (WHG-UHG, Near Eastern, Steppe, Siberian, East Asian, and others), it quantifies major ancient inputs and minor non-European signals to help genealogists, students, and researchers interpret how Bronze Age migrations and Neolithic–Mesolithic dynamics shaped modern European genomes. Estimates are informative but not definitive.
Detalhes da Calculadora
Informação detalhada sobre esta calculadora de mistura genética
Sobre esta calculadora
Eurogenes K10 Steppe — ModernAncient admixture calculator
This calculator estimates the proportional ancestry of individuals from Europe using a 10-component model that blends modern and ancient reference populations. It is designed to highlight the Steppe-related contribution within the broader tapestry of European genetic variation while simultaneously resolving input from Near Eastern, hunter-gatherer, and non-European sources.
What it analyzes
- Relative proportions from ten reference clusters: Near Eastern, East Asian, Siberian, Oceanian, WHG-UHG (Western and Upper Paleolithic hunter-gatherers), Sub-Saharan, Hindu Kush, Steppe, Amerindian, and Southeast Asian.
- The model integrates signals that reflect both ancient population movements (e.g., Neolithic farmers, Mesolithic hunter-gatherers, Steppe pastoralists) and later minor admixture from geographically distant groups.
Who it’s for
- Genetic genealogy enthusiasts and hobbyists exploring European roots.
- Population geneticists and students needing a compact, interpretable admixture breakdown emphasizing Steppe ancestry.
- Anyone seeking context for how ancient migrations shaped modern European genomes.
Key insights users can gain
- Quantified Steppe-related ancestry, useful for investigating the impact of Bronze Age migrations (e.g., Yamnaya/Corded Ware-related movements).
- Relative balance between WHG-UHG and Near Eastern components that reflect Mesolithic–Neolithic dynamics.
- Identification of minor non-European inputs (Siberian, East Asian, Sub-Saharan, Amerindian, Oceanian, Southeast Asian) that may indicate recent or localized gene flow.
Historical and genetic context
Europe’s genetic landscape results from layered migrations: indigenous hunter-gatherers, incoming Near Eastern farmers, and later Steppe pastoralists who reshaped the continent during the Bronze Age. This model abstracts those signals into ten interpretable components to make those deep processes visible in an indivi
Populações de referência
As populações utilizadas como referências genéticas nesta calculadora
10 Poblaciones de referencia
Near Eastern: Includes populations from Syria, Lebanon, Israel, Jordan, parts of Turkey, Iraq, and Iran. Reflects a history at the crossroads of migration and trade.
East Asian: Found in China, Japan, Korea, and Mongolia. Characterized by markers distinct to ancient settlement and movements within East Asia.
Siberian: Common in indigenous Siberian populations like Yakuts, Evenks, and Chukchi, adapted to harsh northern Asian climates.
Oceanian: Typical of Indigenous Australians, Papua New Guineans, Melanesians, and Polynesians. Represents ancient migrations and island adaptations.
WHG-UHG (Western Hunter-Gatherers and Upper Paleolithic Hunter-Gatherers): Found in European descendants, reflecting ancient hunter-gatherer contributions.
Sub-Saharan: Prevalent across diverse Sub-Saharan African ethnic groups, capturing rich Bantu, Nilotic, and hunter-gatherer histories.
Hindu Kush: Typical in regions like Afghanistan, Pakistan, and northern India, influenced by local and historical Indo-European migrations.
Steppe: Associated with Eurasian Steppe populations, including Russians, Ukrainians; marks nomadic pastoralist influences.
Amerindian: Present in indigenous populations of the Americas, from Inuit to Central and South Americans, tracing back to early Siberian migrations.
Southeast Asian: Found in Thailand, Vietnam, Malaysia, Indonesia, and the Philippines, reflecting early migrations and ethnic group contributions.
Como interpretar a análise de mistura genética
Descubra como funcionam as calculadoras de mistura genética e como interpretar os resultados
O que é a análise de mistura genética?
A análise de mistura genética estima a semelhança genética comparando o seu DNA com populações de referência de diferentes partes do mundo. Os componentes do modelo representam essas referências e dependem dos dados e pressupostos utilizados.
Esta calculadora utiliza 10 cuidadosamente seleccionadas modernas y antiguas populações como referências para descrever detalhadamente a semelhança genética.
Como funciona
- Tu DNA se compara con 10 poblaciones de referencia
- Modernas y antiguas se utilizan como referencias genéticas
- Os resultados mostram a sua semelhança genética com estas populações
- A diversidade do painel de referência influencia as estimativas
Como interpretar seus resultados
Os resultados mostram percentagens de similaridade genética com estas populações de referência. Tenha presente estes pontos:
- Os resultados reflectem a semelhança genética, não ascendência directa demonstrada
- Modernas y antiguas se utilizan como referencias
- As percentagens indicam contribuições relativas no modelo
- Os resultados são estimativas baseadas nos dados de referência disponíveis