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.
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Umfassende Informationen zu diesem Admixture-Rechner
Über diesen Rechner
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
Referenzpopulationen
Die in diesem Rechner als genetische Referenzen verwendeten Populationen
10 Referenzpopulationen
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.
Admixture-Analyse verstehen
Erfahren Sie, wie Admixture-Rechner arbeiten und wie Sie Ihre Ergebnisse einordnen
Was ist eine Admixture-Analyse?
Bei einer Admixture-Analyse wird Ihre genetische Ähnlichkeit geschätzt, indem Ihr DNA mit Referenzpopulationen aus verschiedenen Weltregionen verglichen wird. Die Komponenten des Modells stehen für diese Referenzen und hängen von den zugrunde liegenden Daten und Annahmen ab.
Dieser Rechner nutzt 10 sorgfältig ausgewählte moderne und antike Populationen als Referenzen und ermöglicht eine detaillierte Darstellung Ihrer genetischen Ähnlichkeit.
So funktioniert es
- Ihr DNA wird mit 10 Referenzpopulationen verglichen
- Modern und antik-Populationen dienen als genetische Referenzen
- Die Ergebnisse zeigen Ihre genetische Ähnlichkeit zu diesen Populationen
- Ein vielfältiges Referenzpanel verbessert die Schätzungen
Ihre Ergebnisse verstehen
Ihre Ergebnisse zeigen Prozentsätze der genetischen Ähnlichkeit zu diesen Referenzpopulationen. Beachten Sie diese Punkte:
- Die Ergebnisse spiegeln genetische Ähnlichkeit wider, nicht nachgewiesene direkte Abstammung
- Modern und antik-Populationen werden als Referenzen verwendet
- Die Prozentsätze geben relative Beiträge im Modell an
- Die Ergebnisse sind Schätzungen auf Basis der verfügbaren Referenzdaten