混合计算器

Global Ancestry K32 with Jewish Populations

Global Ancestry K32 — K=32 global admixture calculator

Discover your genetic ancestry with a 32-component model spanning Africa, Eurasia, the Americas, and Oceania. Ideal for curious individuals, genealogists, and researchers, it returns percentage estimates of regional ancestry, highlights historical migration signals, and provides clear, interpretable results with caveats about probabilistic resolution.

32 构成部分
世界范围 目标区域
DNA Genics 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

D

DNA Genics

计算创建器

关于此计算器

Global Ancestry K32 — Modern, high-resolution global admixture analysis

This calculator estimates global ancestry proportions using a K=32 model built from 32 geographically and genetically informed reference populations. It compares a user's genotype to a worldwide reference panel to produce a clear breakdown of ancestry components, from continental-scale clusters (e.g., West African, East Asian, Native American) to finer regional signals (e.g., Balkans, Sardinian, Ashkenazi Jewish).

Who it's for

  • Individuals curious about deep and recent ancestry
  • Genealogists and family historians seeking regional signals
  • Researchers and students exploring human population structure

What it analyzes

  • Overall admixture proportions across 32 reference groups
  • Relative genetic affinities reflecting ancient migrations and recent gene flow
  • Statistical confidence and caveats about resolution and overlap

Insights you can gain

  • Percentage estimates for ancestral components across Eurasia, Africa, the Americas, and Oceania
  • Detection of mixtures consistent with historical events: Bantu expansion, Eurasian steppe movements, Silk Road admixture, Mediterranean exchanges, transatlantic and trans-Saharan contacts, Austronesian and Papuan distributions
  • How modern populations relate to regional genetic clusters used as references

Context & value

Human populations reflect millennia of migration and local interaction. The K32 model provides a mid-to-high level resolution that helps reveal both broad continental ancestry and nuanced regional signals. It's valuable for adding genetic perspective to oral histories, testing hypotheses about migration, or providing an informative complement to genealogical records.

Important notes

  • Results are probabilistic estimates dependent on reference composition and SNP overlap.
  • Interpret outputs as evidence of affinity to reference groups, not direct labels of identity.
  • For higher-resolution or medically relevant analyses, combine
第二章联合国

参考人口

计算器中用作遗传参考的种群

32 Reference Populations

Africa:

  • Central African: Fang, Bantu, Mbere, Kongo, Luba, Mbuti
  • Kenyan: Luhya Kenya, Datog
  • Nigeria: Yoruba, Haussa, Igbo
  • North African: Sahraoui, Tunisian, Moroccan, Algerian, Mozabite, Berbers
  • Sierra Leonese: Mende
  • West African: Fon, Ewe, Mina, Kabye, Aja, Akan, Baoule, Wolof, Fula, Serer, Mandinka, Jola, Soninké, Bambara, Dogon

Asia:

  • Cambodian and Thai: Dai, Thai, Cambodian
  • Chinese and Vietnamese: Kinh Vietnam, Lahu, Yi, Miao, Naxi, She, Tujia, Han China
  • Japanese and Korean: Japanese, Korean
  • Middle East: Egyptian, BedouinA, BedouinB, Syrian, Palestinian, Samaritan, Jordanian, Saudi, Yemenite_Mahra, Lebanese
  • Mongol: Kalmyk, Altaian, Tuvinian, Buriat, Mongol
  • Peoples of Central Asia: Uzbeks, Turkmen, Hazara, Tadjik, Pashtun, Kazakh, Uighur, Kirghiz, Bachkir
  • South Asia: Tamil, Gujarati, Marathi, Bengali, Brahui, Kalash, Burusho, Sindhi, Balochi, Punjabi
  • West Asian: West_Turkish, Abkhasian, Armenian, Chechen, Ossetian, Kumyk, Adygei, Georgian_Laz, Georgian_Imer, Lebanese_Druze, Druze, Iran, Balkar

Europe:

  • Ashkenazi Jews: Ashkenazi
  • Balkans: Serb, Croat, Bosniak, Bulgarian, Macedonian, Montenegrin
  • Baltic: Lithuanian, Latvian, Estonian
  • Eastern European: Belarusian, Ukrainian, Mordovian, Russian, Polish, Hungarian, Czechs, Slovaks
  • English: English
  • Finnish: Finnish
  • Greek and South Italian: Albanian, Greek, Greek Crête, Calabrian, West Sicilian, East Sicilian, South Italian, Maltese, Cypriot
  • Iberian: Spanish, Portuguese, Basque, South West French
  • Irish Scottish and Welsh: Irish, Scottish, Welsh, Orcadian
  • Italian: Italian North, Tuscany, Italian
  • North West Europe: German, Austrian, French, Dutch, Belgian
  • Sardinian: Sardinian
  • Scandinavian: Norwegian, Swedish, Danish

North America:

  • Native American: Cherokee, Sioux

Oceania:

  • Melanesian: Melanesian
  • Papuan: Papuan

South America:

  • Amazonian: Karitania, Surui, Arawak
  • Mesoamerican and Andean: Maya, Nahua, Mixe, Quechua
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 32 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 32 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