混合计算器

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.

14 构成部分
世界范围 目标区域
GENO MENA TEAM 作者
Modern & Ancient 大纪元
要探索的滚动
第一章联合国

计算器细节

有关此混合计算器的全面信息

G

GENO MENA TEAM

计算创建器

关于此计算器

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
第二章联合国

参考人口

计算器中用作遗传参考的种群

14 Reference Populations

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.

Chapter III

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 14 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 14 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