混合计算器

Global Ancestry K30 2023 with Jewish Populations

Global Ancestry K30 2023 — A modern K=30 admixture calculator that estimates your proportional ancestry against 26 curated reference populations. Ideal for individuals, genealogists, and researchers, it reveals fine-grained regional affinities (e.g., Anatolia-Caucasus, Sardinian, North British Isles) while balancing resolution and interpretability for robust, actionable ancestry insights.

30 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 K30 2023 — Modern-era K=30 admixture calculator

This calculator analyzes an individual's genome against a curated panel of 26 reference populations to estimate proportional ancestry components using a K=30 model optimized for modern global diversity (2023). It decomposes genetic variation into discrete components that reflect recent and deep ancestral affinities across Africa, Eurasia, the Americas and Oceania.

What it analyzes

  • Autosomal single-nucleotide variation across the genome to infer proportional ancestry for 30 components trained on diverse modern and regionally informative reference groups.

Who it's designed for

  • Individuals seeking a nuanced global ancestry overview
  • Genealogists and family historians exploring multi-regional admixture
  • Researchers and students needing a clear, interpretable K30 admixture profile

Insights you can gain

  • Relative contribution from major regional sources (e.g., West African, Anatolia-Caucasus, North and Central European)
  • Distinguishing components that cluster with specific historical populations (e.g., Sardinian, Ashkenazi Jewish, Scandinavia)
  • Detecting complex mixed ancestries, recent admixture signals, or subtle regional affinities not visible in coarse models

Historical and genetic context

  • The K30 configuration captures both broad continental structure and finer subcontinental partitions that reflect major migrations, expansions, and long-term regional isolation (e.g., Iranian Plateau, North east Asia, Central Indian subcontinent).
  • It is built on modern reference panels; interpretations should consider recent population movements and local demographic history.

Why this calculator is valuable

  • Balances resolution and interpretability: more detailed than low-K models yet designed to avoid overfitting common in very high-K approaches.
  • Useful for comparative analysis: run against other K models or reference sets to triangulate ancestry conclusions.

**Reference po

第二章联合国

参考人口

计算器中用作遗传参考的种群

30 Reference Populations

Africa:

  • Africa East
    Includes populations from countries such as Kenya, Tanzania, and Ethiopia, with diverse ethnic groups and languages.
  • Central African
    Comprises populations from regions like the Democratic Republic of Congo and Cameroon, known for their rich cultural diversity.
  • North African
    Encompasses populations from countries like Egypt, Algeria, and Morocco, with a history influenced by Arab and Berber cultures.
  • West African
    Includes nations such as Nigeria and Ghana, characterized by a high ethnic diversity and linguistic variety.

Americas:

  • Americas
    Represents mixed indigenous, European, African, and Asian ancestries due to historical migration and colonization.

Asia:

  • Anatolia Caucasus
    Covers populations from modern Turkey and the Caucasus region, with deep historical ties to ancient civilizations.
  • Central Asia
    Encompasses areas like Kazakhstan and Uzbekistan, known for their Turkic cultures and nomadic history.
  • Central Indian subcontinent
    Represents populations from central regions of India, with a diverse range of languages and ethnicities.
  • East Asia
    Includes countries such as China, Japan, and Korea, with long-standing historical and cultural traditions.
  • Iranian Plateau
    Relates to populations from Iran and surrounding regions, with a rich Persian cultural heritage.
  • Near East
    Encompasses populations from areas like Israel, Lebanon, and Syria, known for their historical significance.
  • North central Asia
    Comprises regions including Mongolia and northern parts of Kazakhstan, known for their nomadic cultures.
  • North east Asia
    Includes regions like northeastern China and parts of Siberia, known for ethnic and cultural diversity.
  • South east Asia
    Represents countries such as Vietnam, Thailand, and Indonesia, with distinct cultural and linguistic diversity.
  • Southern Indian subcontinent
    Covers populations from southern parts of India and Sri Lanka, known for Dravidian languages and cultural richness.

Europe:

  • Ashkenazi Jewish
    Relates to Jewish populations primarily from Central and Eastern Europe, with a unique cultural and historical identity.
  • Balkan
    Covers countries such as Serbia, Bulgaria, and Greece, known for ethnic diversity and complex history.
  • East European
    Includes populations from countries like Poland, Russia, and Ukraine, with rich Slavic heritage.
  • Finland
    Represents the Finnish population, known for its unique Uralic language and cultural influence.
  • Iberian
    Comprises populations from Spain and Portugal, with a history of Roman and Moorish influences.
  • North British Isles
    Relates to populations from Scotland and Northern Ireland, with Celtic and Gaelic cultural roots.
  • North Italy
    Covers populations from northern parts of Italy, known for their distinct dialects and historical regions.
  • North and central European
    Encompasses populations from countries like Germany and the Netherlands, with shared Germanic roots.
  • Sardinian
    Refers to populations from the island of Sardinia, with a unique genetic and cultural identity.
  • Scandinavia
    Includes populations from Norway, Sweden, and Denmark, known for their Nordic history and culture.

Oceania:

  • Oceania
    Represents indigenous populations from Australia, New Zealand, and the Pacific Islands, with rich and diverse cultures.
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 30 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 30 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