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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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
参考人口
计算器中用作遗传参考的种群
10 Reference Populations
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.
理解混合分析
学习混合计算器如何工作,如何解释结果
什么是“混合分析”?
混合分析是用来通过将你的DNA与来自世界各地的参考人群进行比较来估计你的基因祖先的一种方法。 把它看作是创造了你的基因化妆的食谱, 即成分是不同的祖先种群。
此计算器使用 10 仔细选择 现代与古代 作为参考,可以详细分解您的遗传遗产。
如何运作
- 将您的 DNA 与 10 个参考人群进行比较
- 以 Modern & Ancient 人群作为遗传参考
- 结果显示你的基因与这些种群相似
- 使用不同的参考面板更准确
了解你的成果
您的研究结果将显示与这些参考人群的遗传相似性的百分比。请记住这些要点:
- 结果反映了遗传相似性,而不是直接祖先
- Modern & Ancient populations are used as references
- 表明相对遗传贡献的百分比
- 结果是根据现有参考数据作出的估计数