混合计算器

Eurogenes K7 AMI

Eurogenes K7 AMI — Ancient-era European admixture calculator

A compact 7-component admixture model tailored for ancient-era European analysis. It reports proportional affinities to Sub-Saharan, Oceanian, Amerindian, Euro_HG, Siberian, Southeast_Asian, and Near_Eastern clusters. Ideal for archaeogeneticists, students, and enthusiasts who want a clear, interpretable overview of major prehistoric ancestry signals and unexpected admixture in European samples.

7 构成部分
世界范围 目标区域
Eurogenes 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

Eurogenes

计算创建器

关于此计算器

Eurogenes K7 AMI — Ancient-era admixture calculator for Europe

This calculator estimates ancestry proportions using a compact, archaeogenetically informed 7-component model optimized for European samples in the Ancient era. It compares a tested genotype against seven reference clusters: Sub-Saharan, Oceanian, Amerindian, Euro_HG, Siberian, Southeast_Asian, and Near_Eastern. The result describes how much of an individual's genome best matches each ancestral cluster.

Who it’s for:

  • Researchers, students, and enthusiasts working with ancient European specimens or modern individuals seeking an ancient-aware breakdown.
  • Anyone interested in broad continental and prehistoric migration signatures rather than fine-scale modern population structure.

What you can learn:

  • Proportional affinities to European hunter-gatherers (Euro_HG) and Near Eastern farming groups (Near_Eastern).
  • Signals of northern/eastern influx (Siberian) associated with steppe or Siberian-related ancestry.
  • Presence of distal or unexpected components (Sub-Saharan, Oceanian, Amerindian, Southeast Asian) that indicate deep or recent admixture, contamination, or model artifacts.

Context and scientific grounding:

  • K7 is a compact admixture framework: each component is a simplified cluster representing broad ancestral sources rather than named historical populations.
  • Euro_HG reflects pre-agricultural hunter-gatherer ancestry in Europe; Near_Eastern captures agriculturalist-derived input; Siberian and others capture Eurasian steppe or far-eastern contributions and non-Eurasian affinities.

Why this calculator is valuable:

  • Fast, interpretable overview useful for hypothesis generation, sample triage, and public-facing summaries.
  • Especially helpful for ancient DNA projects where reduced-component models minimize overfitting and clarify major migratory events.

Limitations & best practices:

  • Results depend on chosen reference panels; components are heuristic and s
第二章联合国

参考人口

计算器中用作遗传参考的种群

7 Reference Populations

  • Sub-Saharan: Represents populations from the African continent, encompassing a wide genetic diversity with historically deep-rooted lineages.

  • Oceanian: Includes populations from the regions of Papua New Guinea, Australia, and surrounding islands, known for their unique genetic adaptations.

  • Amerindian: Refers to Indigenous peoples of the Americas, with diverse groups ranging from North to South America and distinct ancestral lineages.

  • Euro_HG: Represents European Hunter-Gatherers, early inhabitants of Europe dating back to pre-agricultural times.

  • Siberian: Covers populations in the Siberian region, traditionally linked to rugged environmental adaptations and connections to Native American ancestry.

  • Southeast_Asian: Encompasses diverse ethnic groups from countries in Southeast Asia, characterized by complex migratory histories.

  • Near_Eastern: Consists of populations from the Near East, a historical crossroads of human civilization and diversity.

Grouped by Continent:

  • Africa: Sub-Saharan
  • Oceania: Oceanian
  • Americas: Amerindian
  • Europe: Euro_HG
  • Asia: Siberian, Southeast_Asian, Near_Eastern
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 7 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 7 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