Egy K9
Egy K9 — Ancient admixture snapshot
A compact nine-component calculator that estimates ancestral proportions in ancient and modern genomes. Compare contributions from Anatolian and Iranian Neolithic farmers, Caucasus and steppe hunter‑gatherers, northern European heritage, and global non‑West Eurasian inputs (East Asian, Amerindian, Oceanian, African). Fast, interpretable, and ideal for researchers, educators, and ancestry enthusiasts seeking a clear first-pass view of deep population histo
计算器细节
有关此混合计算器的全面信息
关于此计算器
Egy K9 — Ancient Admixture Calculator
Egy K9 estimates ancestral proportions in ancient and modern genomes using a compact, interpretable nine-component reference panel. It compares a query genotype to canonical ancient and global source populations: Anatolia_N, CHG, EHG, Iran_N, SHG, East_Asian, Amerindian, Oceanian, and African. Designed for archaeogeneticists, students, museum curators, and curious ancestry enthusiasts, Egy K9 bridges deep-time population structure with accessible results.
What it analyzes
- Proportional ancestry contributions from each reference component to a target sample.
- Broad affinity patterns that reflect migrations, admixture events, and regional continuity or turnover.
Who it’s for
- Researchers needing a quick, standardized breakdown of ancestry in ancient remains or comparative modern samples.
- Educators and public audiences seeking an interpretable snapshot of complex population history.
Insights you can gain
- Relative weight of Near Eastern (Anatolia_N, Iran_N) versus steppe and hunter-gatherer inputs (EHG, CHG, SHG).
- Signals of long-range contacts (East_Asian, Amerindian, Oceanian) and sub-Saharan African influence.
- Hypotheses about migration pathways, cultural interactions, and population replacement versus admixture.
Context & value Egy K9 condenses widely used paleogenomic reference groups into a practical toolkit for cross-sample comparison. For example, elevated Anatolia_N suggests Neolithic farmers’ influence; CHG and EHG reflect Caucasus and steppe ancestries associated with later Bronze Age movements; SHG captures northern European hunter-gatherer heritage. Non-West Eurasian components highlight episodes of long-range gene flow or contamination checks.
Limitations & best practice
- The nine-component model is deliberately coarse: it emphasizes interpretability over fine-scale resolution.
- Results depend on reference choice and sample age; combine Egy K9 outputs with archaeological context, PCA, an
参考人口
计算器中用作遗传参考的种群
9 Reference Populations
Anatolia_N: Represents the Neolithic populations from Anatolia, an area known for early agricultural societies.
CHG: Refers to the Caucasus Hunter-Gatherers, ancient populations from the Caucasus region.
EHG: Denotes Eastern European Hunter-Gatherers, from regions spreading across modern-day Russia.
East_Asian: Populations from the East Asian region, covering China, Korea, and Japan.
Iran_N: Represents Neolithic populations from Iran, who were among early farming communities.
Amerindian: Refers to indigenous peoples of the Americas, with deep prehistoric roots in the continent.
Oceanian: Encompasses the indigenous populations of the Pacific Islands, including Melanesians, Micronesians, and Polynesians.
SHG: Scandinavian Hunter-Gatherers, early populations residing in Scandinavia.
African: Represents the diverse indigenous populations across the African continent.
Grouped by Continent:
- Europe: Anatolia_N, EHG, SHG
- Asia: CHG, East_Asian, Iran_N
- America: Amerindian
- Oceania: Oceanian
- Africa: African
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 9 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 9 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