Eurogenes K15
Eurogenes K15 — compact, modern global admixture
A K=15 admixture model that breaks your genome into proportions based on 41 contemporary reference populations worldwide. Ideal for ancestry enthusiasts and researchers, it highlights Eurasian substructure, African, Oceanian, and Native American affinities, and reveals signals of historical migration. Reference‑dependent and interpretive—use with other evidence for best insight.
计算器细节
有关此混合计算器的全面信息
关于此计算器
Eurogenes K15 — Modern global admixture calculator
Eurogenes K15 analyzes your genome by partitioning it into 15 genetic clusters anchored to 41 modern reference populations from across the world. Designed in the modern era for a global audience, it is aimed at ancestry enthusiasts, population geneticists, and anyone curious about the deep population structure that shaped present-day genomes.
What it analyzes
- Proportional genetic ancestry across 15 optimized components derived from contemporary reference groups (European, Near Eastern, Caucasus, South Asian, Central and East Asian, African, Oceanian, and Native American).
- Subtle Eurasian structure using populations such as Basques, Sardinians, Estonians and Georgians.
- Non‑Eurasian affinities using references like Yoruba, Mandenka, Papuan, Melanesian and Native American groups.
Who it's for
- Hobbyists and genealogists seeking a richer picture beyond continental labels.
- Researchers needing a compact, interpretable K=15 view for comparative analyses.
- People curious about biogeographic affinities across Eurasia, Africa, Oceania, and the Americas.
Insights you can gain
- Percentage breakdown of genome-wide affinities to modern reference clusters.
- Signals of historical migrations and admixture (e.g., Mediterranean, Caucasus, South Asian, Steppe, East Asian, African, Oceanian, Native American contributions).
- How your profile compares to diverse modern populations.
Context & value
- Built from 41 strategically chosen references (e.g., Basques, Sardinians, Lebanese groups, Balochis, Ethiopians, Papuans, Yoruba, Native American groups), Eurogenes K15 acts as a practical lens for understanding modern genetic structure and past population interactions.
Caveats
- Results are reference‑dependent and probabilistic; they describe affinities, not genealogical certainty. Interpret alongside archaeological, historical, and genealogical evidence for best results.
Eurogenes K15 is valuable f
参考人口
计算器中用作遗传参考的种群
15 Reference Populations
Amerindian: Peaks in the Americas
- Populations: Karitiana, Mayan, Pima
Atlantic: Peaks in Iberian Peninsula
- Populations: French Basques, Iberians
Baltic: Peaks in Northeast Europe and the Baltics
- Populations: Estonians, Lithuanians, Mordovians
East_Med: Peaks in the Levant and Jews of Yemen
- Populations: Lebanese Christians, Lebanese Druze, Yemenite Jews
Eastern_Euro: Peaks in Eastern Europe
- Populations: Chuvash, Erzyas, Selkups
North_Sea: Peaks in Scandinavia
- Populations: Norwegians, Orcadians, Icelandics, Swedish
Northeast_African: Peaks in the Horn of Africa
- Populations: Ethiopian Ari Cultivator, Ethiopian Gumuz
Oceanian: Peaks in Oceania/Polynesia
- Populations: Papuan, Melanesians
Red_Sea: Peaks in Arabia
- Populations: Saudis
Siberian: Peaks in Siberia
- Populations: Dolgan, Evenki, Evens
South_Asian: Peaks in South Asia
- Populations: Chamaris, Piramalai Kallars, Sakillis
Southeast_Asian: Peaks in Southeast Asia
- Populations: Dai, Vietnamese, She, Cambodians
Sub-Saharan: Peaks in Southern and Western Africa
- Populations: Yoruban, Mandenka, Bantu, Luhya
West_Asian: Peaks in the South Caucasus and Southeastern Iran
- Populations: Abkhasians, Balochis, Georgians
West_Med: Peaks in the West Mediterranean Sea
- Populations: Sardinians
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 15 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 15 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