混合计算器

Harappaworld

Harappaworld — Modern global admixture calculator

Decompose your genome against a curated 16-population panel (e.g., S-Indian, Baloch, NE-Euro, Papuan, San, W-African, Beringian). Harappaworld provides quantitative ancestry proportions, highlights migration-related signals, and contextualizes modern DNA within global population history—designed for researchers, genealogists, and curious users seeking clear, high-resolution ancestry insights.

0 构成部分
世界范围 目标区域
Harappadna 作者
Modern 大纪元
要探索的滚动
第一章联合国

计算器细节

有关此混合计算器的全面信息

H

Harappadna

计算创建器

关于此计算器

Harappaworld — Global Admixture Calculator (Modern Era)

Harappaworld analyzes the proportional genetic ancestry of modern individuals against a broad, internationally curated panel of 16 reference populations. Using allele-frequency‑based admixture modeling, this calculator decomposes a genome into recognizable regional components to reveal the mosaic of recent and deep ancestral contributions.

Who it's for

  • Researchers, genetic genealogists, educators, and curious individuals seeking high-resolution, global context for modern genomes.
  • People with complex mixed heritage who want a clearer breakdown of continental and subcontinental signals.

What you learn

  • Quantitative ancestry proportions from major and regional groups (e.g., S-Indian, Baloch, NE-Euro, Papuan).
  • Signals consistent with major migration events (Out-of-Africa echoes, Eurasian expansions, Austronesian/Pacific, Beringian/Native American links).
  • Relative affinities that help interpret admixture timing and population structure without providing medical or phenotype predictions.

Reference panel (16 populations)

  • S-Indian, Baloch, SE-Asian, Siberian, NE-Asian, Caucasian, NE-Euro, Eastern_Euro, Mediterranean, Papuan, American, Beringian, San, E-African, Pygmy, W-African

Historical and genetic context Harappaworld situates modern genomes within a framework shaped by ancient migrations, regional isolation, and recent admixture. Components such as Beringian and American capture New World founder effects, while South Asian (S-Indian, Baloch) and Eurasian categories reflect millennia of exchange across the Indian Ocean and steppe corridors. African components (San, Pygmy, E‑African, W‑African) preserve deep structure from early human diversification.

Why Harappaworld is valuable

  • A global, balanced panel designed to resolve both continental and fine-scale regional ancestry.
  • Intuitive output for non-experts combined with transparent methodological notes for specialists.
  • Helps users translate
第二章联合国

参考人口

计算器中用作遗传参考的种群

0 Reference Populations

Asia

  • S-Indian: Peaks in Southern India (Paniya)
  • Baloch: Peaks in southeastern Iran and southwest Pakistan (Balochi)
  • SE-Asian: Peaks in southeast Asia (Cambodians, Malay, and Southern Chinese)
  • Siberian: Peaks in northern Asia (Turks, Mongols, Tungus)
  • NE-Asian: Peaks in northeast Asia (Japanese and Northern Chinese)

Europe

  • Caucasian: Peaks in the Caucasus (Georgian, Abhkasian)
  • NE-Euro: Peaks in the Baltic region (Finnish, Lithuanians)
  • Eastern_Euro: Peaks in Eastern Europe (Chuvash, Erzyas, Selkups)
  • Mediterranean: Peaks in Sardinia and Iberian Peninsula (Sardinians, Iberians)

Oceania

  • Papuan: Peaks in Papua New Guinea (Papuan)

Americas

  • American: Peaks in America (Karitiana, Mayan, Pima)
  • Beringian: Peaks in northeast Asian (Karitiana, Mayan, Pima)

Africa

  • San: Peaks in south Africa (San, Kung)
  • E-African: Peaks in east Africa (Gumuz, Anuak, Sudanese)
  • Pygmy: Peaks in pygmy populations (Pygmy, Mbuti Pygmi, Biaka Pygmi)
  • W-African: Peaks in west Africa (Yoruba, Dogon, Brong, Bambaran, Igbo, Mandeka)
Chapter III

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 0 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 0 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