Eurasia K20
Eurasia K20 — Modern + Ancient admixture snapshot
Quickly quantify genome-wide ancestry against 20 curated modern and ancient components spanning Eurasia, Africa, Oceania and the Americas. Designed for hobbyists, genealogists and researchers, it highlights Steppe, Neolithic farmer, Siberian, East/Southeast Asian, South Asian, Papuan, African and Native American affinities to contextualize both recent and deep ancestry.
计算器细节
有关此混合计算器的全面信息
关于此计算器
Eurasia K20 — Modern + Ancient Admixture Calculator
This calculator estimates an individual's autosomal ancestry proportions against 20 curated reference components spanning modern and ancient Eurasian, African, Oceanian and American diversity. It is built for anyone curious about deep and recent ancestry: hobbyist genetic genealogists, population geneticists, students, and researchers performing broad comparative analyses.
What this analyzes
- Genome-wide autosomal SNP data compared to 20 reference populations (modern and ancient) to produce proportional ancestry estimates.
- Components capture major demographic signals such as Steppe, Near Eastern, European farmer, Siberian, East and Southeast Asian, South Asian, Papuan, Sub‑Saharan African, and Native American affinities.
Reference components (K=20): NE_ASIAN, N_AMERINIDIAN, SSA, EEF, SE_ASIAN1, S_INDIAN, SHG_WHG, S_AMERINDIAN, KHOISAN, SW_ASIAN, KALASH, E_ASIAN, PYGMY, SE_ASIAN2, CAUCASUS_GEDROSIA, PAPUAN, EUROPEAN, YAMNAYA, E_SIBERIAN, W_SIBERIAN
Insights you can gain
- Quantified ancestry fractions that help place an individual along Eurasian clines and detect non‑European, African, Oceanian, or Native American admixture.
- Signals tied to major historical events: Neolithic farmer expansion (EEF), Steppe migrations (Yamnaya), Mesolithic hunter‑gatherer ancestries (SHG/WHG), and deeper Siberian/East Asian links.
- Finer distinctions within Asia (E_SIBERIAN vs. W_SIBERIAN; multiple SE_ASIAN components) and between South Asian and Near Eastern affinities.
Context & value
- Combines modern and ancient reference profiles to illuminate both recent pedigree-level admixture and deeper population history.
- Useful for triangulating hypotheses about regional ancestry, exploring migration scenarios, and augmenting genealogical results from consumer tests.
Limitations
- Results are model-dependent: component labels are proxies for genetic clusters, not fixed ethnic identities. Interpret proportions as population
参考人口
计算器中用作遗传参考的种群
20 Reference Populations
- NE_ASIAN: Northeast Asian populations, encompassing regions like Siberia.
- N_AMERINIDIAN: North Amerindian groups, including indigenous populations of North America.
- SSA: Sub-Saharan African populations, representing diverse ethnic groups below the Sahara.
- EEF: Early European Farmers, relating to early agricultural societies in Europe.
- SE_ASIAN1: Southeast Asian populations, including groups like the Vietnamese and Thai.
- S_INDIAN: South Indian groups, predominantly Dravidian ethnicities from southern India.
- SHG_WHG: Scandinavian Hunter-Gatherer and Western Hunter-Gatherer populations, ancient European foragers.
- S_AMERINDIAN: South Amerindian populations, native groups from South America.
- KHOISAN: Khoisan populations, indigenous peoples of southwestern Africa.
- SW_ASIAN: Southwest Asian populations, including groups from the Arabian Peninsula and Iranian Plateau.
- KALASH: The Kalash, a unique ethnic group residing in the Chitral region of Pakistan.
- E_ASIAN: East Asian populations, including Chinese, Japanese, and Korean ethnicities.
- PYGMY: Pygmy populations, indigenous groups in Central Africa.
- SE_ASIAN2: Additional Southeast Asian populations, covering more of the regional diversity.
- CAUCASUS_GEDROSIA: Populations from the Caucasus and Gedrosia region, covering areas like Armenia and parts of Iran.
- PAPUAN: Papuan populations, indigenous peoples of Papua New Guinea and nearby islands.
- EUROPEAN: European populations, broadly covering the continent's ethnic diversity.
- YAMNAYA: Yamnaya, an ancient culture from the Pontic-Caspian steppe, significant in the spread of Indo-European languages.
- E_SIBERIAN: East Siberian populations, indigenous groups of Eastern Siberia.
- W_SIBERIAN: West Siberian populations, representing groups from the western part of Siberia.
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 20 仔细选择 现代与古代 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 20 个参考人群进行比较
- 以 Modern & 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
- Modern & 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