混合计算器

Eurasia Ancient Near East K13

Eurasia Ancient Near East K13 — An ancient-aware admixture calculator that breaks your DNA into 13 deep ancestry components (e.g., Anatolia_Neolithic, Iran_Neolithic, CHG, WHG/SHG, Siberian, SE Asian, Papuan, Karitiana, Sub-Saharan). Ideal for researchers and curious users worldwide, it reveals ancient migrations, farmer-forager mixes, and long-range gene flow shaping modern genomes.

13 构成部分
世界范围 目标区域
Eurasiandna 作者
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

E

Eurasiandna

计算创建器

关于此计算器

Eurasia Ancient Near East K13 (Era: Ancient)

This calculator decomposes an individual's autosomal DNA into proportions of 13 ancient and deep ancestry components tied to Eurasia and neighboring regions. It is built from a curated panel representing Paleolithic, Neolithic, Mesolithic and remote hunter-gatherer sources to highlight the major ancestral threads that shaped Eurasian and global diversity.

What this analyzes

  • Proportional contribution from 13 reference populations: SE_ASIAN, ANATOLIA_NEOLITHIC, CHG_EEF, POLAR, EHG, SUB_SAHARAN, IRAN_NEOLITHIC, KARITIANA, ANCESTRAL_INDIAN, NATUFIAN, SIBERIAN, PAPUAN, SHG_WHG.
  • Signals of ancient migrations, farmer/forager admixture, and distant non-Eurasian inputs that persisted into modern populations.

Who it's designed for

  • Global audience: researchers, students, genealogists and ancestry enthusiasts who want an ancient-aware breakdown rather than only modern reference matches.

Insights you can gain

  • Relative influence of Anatolian farmers, Iranian and CHG-related pastoralists, and European hunter-gatherers (WHG/SHG/EHG).
  • Traces of eastern Eurasian and Siberian inputs, Papuan/SE Asian affinities, and distant Amerindian or Sub-Saharan components where present.
  • Context for regional histories: the Neolithic agricultural expansion, Steppe-related movements, and long-range gene flow events.

Historical and genetic context This model synthesizes well-studied ancient groups—Anatolia Neolithic farmers, Iran Neolithic agropastoralists, Caucasus hunter-gatherer (CHG)-related ancestry, European Mesolithic hunter-gatherers (WHG/SHG/EHG)—with broader global references to capture admixture footprints left by migrations, trade and isolation.

Why valuable

  • Ancient-informed resolution: interprets modern genomes through the lens of deep ancestry.
  • Comparative: useful for cross-population studies and personal exploration of deep roots.

Caveats

  • Outputs are model-based estimates dependent on refer
第二章联合国

参考人口

计算器中用作遗传参考的种群

13 Reference Populations

Reference Panels

  • SE_ASIAN: Populations from Southeast Asia, encompassing diverse ethnic groups with rich cultural histories, often influenced by Indian and Chinese civilizations.

  • ANATOLIA_NEOLITHIC: Ancient populations from Anatolia during the Neolithic period, known for early farming and settled life.

  • CHG_EEF: Caucasus Hunter-Gatherer and Early European Farmer populations, key in spreading agriculture into Europe.

  • POLAR: Populations from Arctic and sub-Arctic regions, adapted to extremely cold environments.

  • EHG: Eastern European Hunter-Gatherers, with a lifestyle centered on hunting and gathering in Eastern Europe.

  • SUB_SAHARAN: Diverse groups from sub-Saharan Africa, characterized by significant genetic diversity and ancient lineages.

  • IRAN_NEOLITHIC: Early agricultural communities from the Iranian plateau, important for the spread of farming technologies.

  • KARITIANA: Indigenous people of the Amazon, specifically in Brazil, with distinct genetic profiles and cultural practices.

  • ANCESTRAL_INDIAN: Ancient populations contributing to the genetic makeup of modern Indian subcontinent's populations.

  • NATUFIAN: Epipaleolithic culture in the Levant, often regarded as precursors to the first farming societies.

  • SIBERIAN: Populations from Siberia, known for their adaptation to harsh climatic conditions and migratory patterns.

  • PAPUAN: Indigenous groups of Papua New Guinea and surrounding areas, unique in their genetic heritage and isolated development.

  • SHG_WHG: Scandinavian Hunter-Gatherers and Western Hunter-Gatherers, early European populations pre-dating agricultural societies.

Continent Groupings

  • Asia: SE_ASIAN, ANCESTRAL_INDIAN, IRAN_NEOLITHIC, SIBERIAN, PAPUAN
  • Europe: ANATOLIA_NEOLITHIC, CHG_EEF, EHG, SHG_WHG
  • Africa: NATUFIAN, SUB_SAHARAN
  • Americas: KARITIANA
  • Polar Regions: POLAR
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 13 仔细选择 ancient 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 13 个参考人群进行比较
  • 以 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
  • 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