Eurogenes K10
Eurogenes K10 — Modern European Admixture
A fast, user-friendly admixture calculator that breaks a DNA sample into ten regional components (S_Asian, N_E_Euro, NE_African, SW_W_Euro, Med_ME, N_Asian, E_Asian, Sub_Saharan, SE_Asian, W_Asian). Designed for people of European descent, genealogists, and researchers, it reveals broad European affinities, minor external influences, and comparative context to guide deeper ancestral investigations.
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 K10 — Modern European Admixture Calculator
Eurogenes K10 analyzes your genome against ten modern reference clusters to estimate the proportional ancestry typical across Europe and neighboring regions. Designed for people with European heritage, researchers, genetic genealogists, and curious explorers, this calculator decomposes a DNA sample into ten components: S_Asian, N_E_Euro, NE_African, SW_W_Euro, Med_ME, N_Asian, E_Asian, Sub_Saharan, SE_Asian, and W_Asian.
What it analyzes
- Relative ancestry proportions compared to modern regional clusters
- Signals of Eurasian, African, and Asian gene flow that shaped present-day European diversity
- Broad affinities (e.g., Mediterranean vs. Northern European, West Asian influence)
Who it's for
- Individuals tracing family roots in Europe or the European diaspora
- Genealogists validating documentary evidence with genetic signals
- Population geneticists and students exploring admixture patterns
Insights you can gain
- A clear percentage breakdown of affinities such as Southwest/West Europe vs. North-East Europe
- Detection of minor components (e.g., West Asian or North African traces) that suggest historical contact or recent ancestry
- Comparative context to help interpret PCA, haplogroup, and historical records
Historical and genetic context
Modern European genomes reflect millennia of movement: Paleolithic hunter-gatherers, Neolithic farmers from the Near East, Bronze Age Steppe expansions, and later contacts across the Mediterranean and Eurasia. Eurogenes K10 frames your DNA within these broad patterns by using contemporary regional clusters as proxies for those historical inputs.
Why it's valuable
- Fast, accessible breakdown that complements deeper analyses
- Highlights unexpected regional affinities for further investigation
- Useful for personal, genealogical, and educational purposes
Limitations
- Components are cluster-based proxies, not exact ancestral populations
- Results dep
参考人口
计算器中用作遗传参考的种群
10 Reference Populations
S_Asian: South Asian; includes populations from the Indian subcontinent, characterized by a diverse range of cultures and languages.
N_E_Euro: North Eastern European; encompasses populations from the northeastern part of Europe with Slavic and Baltic heritage.
NE_African: Northeast African; includes populations from regions like Egypt and the Horn of Africa, known for ancient civilizations and diverse cultures.
SW_W_Euro: Southwestern and Western European; refers to populations from countries such as Spain, Portugal, and France, characterized by Romance languages and rich historic ties.
Med_ME: Mediterranean and Middle Eastern; features populations around the Mediterranean basin and the Middle East, known for historical trade and cultural exchange.
N_Asian: North Asian; includes populations from the vast region of Siberia, known for its indigenous peoples and harsh climate.
E_Asian: East Asian; encompasses populations from countries like China, Japan, and Korea, known for their ancient cultures and languages.
Sub_Saharan: Sub-Saharan African; includes diverse populations from regions south of the Sahara Desert, known for their linguistic and cultural diversity.
SE_Asian: Southeast Asian; refers to populations from countries like Thailand, Vietnam, and Indonesia, characterized by a mix of cultures, religions, and languages.
W_Asian: West Asian; includes populations from regions such as the Arabian Peninsula and the Levant, known for their historical significance in world history.
Grouped by Continent:
- Asia: S_Asian, N_Asian, E_Asian, SE_Asian, W_Asian
- Europe: N_E_Euro, SW_W_Euro
- Africa: NE_African, Sub_Saharan
- Middle East: Med_ME
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