Dodecad K10a
Dodecad K10a — Modern 10‑component ancestry model.
Quickly quantify your autosomal ancestry across ten reference clusters (Palaeoafrican, South Asian, West Asian, Southeast Asian, Sub‑Saharan, Atlantic_Baltic, Red Sea, East Asian, Mediterranean, Siberian). Ideal for genealogy enthusiasts and researchers who want a compact, interpretable snapshot of regional affinities and admixture patterns. Use as a clear starting point for deeper genetic investigation.
计算器细节
有关此混合计算器的全面信息
关于此计算器
Dodecad K10a — Modern 10‑Component Admixture Calculator
This calculator estimates the proportional ancestry of a DNA sample using a modern 10‑component model derived from global reference populations. It analyzes autosomal genotype data to report how much of an individual's genetic makeup aligns with each of the following reference clusters: Palaeoafrican, South Asian, West Asian, Southeast Asian, Sub‑Saharan, Atlantic_Baltic, Red Sea, East Asian, Mediterranean, and Siberian.
Who it's for:
- Genetic genealogy enthusiasts seeking clearer regional affinities
- Population geneticists and students exploring comparative models
- Anyone curious about broad continental and subcontinental ancestry signals
What you get:
- A quantitative breakdown (percentages) across 10 interpretable genetic components
- Clear signals of admixture events and affinities (e.g., Atlantic_Baltic vs Mediterranean)
- Clues about recent vs deep ancestral contributions based on component patterns
Context and interpretation: This model is a compact representation of modern genetic diversity. Each component corresponds to an allele‑frequency cluster that reflects historical population structure and migrations (for example, Red Sea may track Northeast African/Arabian links, Atlantic_Baltic captures northwestern European/Siberian interplay). The labels are heuristic: they summarize complex histories and are best interpreted as regional affinities rather than precise ethnic labels.
Why it’s valuable:
- Provides an accessible, reproducible snapshot of ancestry with balanced geographic coverage
- Useful as a starting point for deeper analyses (haplogroups, local ancestry, formal tests)
- Helps users contrast competing historical scenarios and visualize admixture proportions quickly
Limitations and best practices:
- Not a definitive report of identity — results depend on reference sampling and clustering
- Combine with genealogical records and other genetic tools for robust conclusions
Us
参考人口
计算器中用作遗传参考的种群
10 Reference Populations
Palaeoafrican: Represents ancient African ancestry, encompassing diverse early human populations on the African continent.
South Asian: Encapsulates populations from the Indian subcontinent, including India, Pakistan, Bangladesh, Nepal, and Sri Lanka.
West Asian: Refers to populations from the regions in the Near East, including parts of the Middle East and Caucasus.
Southeast Asian: Encompasses populations from countries like Thailand, Vietnam, Indonesia, and the Philippines.
Sub-Saharan: Represents populations from regions south of the Sahara desert, characterized by diverse ethnic groups and rich cultural histories.
Atlantic_Baltic: Covers populations from northwestern Europe, including areas around the Atlantic Ocean and the Baltic Sea.
Red Sea: Involves populations from the areas surrounding the Red Sea, often considered as part of the African and Arabian territories.
East Asian: Includes populations from China, Japan, Korea, and neighboring regions with shared historical and cultural heritage.
Mediterranean: Refers to populations from the Mediterranean Basin, encompassing parts of Southern Europe, North Africa, and the Levant.
Siberian: Represents populations from Siberia, known for its indigenous groups and vast, diverse ethnicities.
Continental Groups:
- Africa: Palaeoafrican, Sub_Saharan, Red Sea
- Asia: South Asian, West Asian, Southeast Asian, East Asian, Siberian
- Europe: Atlantic_Baltic, Mediterranean
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 modern 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 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 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