混合计算器

MDLP K10c

MDLP K10c is a 10‑component admixture calculator focused on ancient-rooted ancestry signals worldwide. It estimates proportions from Paleosiberian, African, SEA, ASI, Basal, North European, East Eurasian, Papuan, Siberian, and CHG components to give interpretable insights into prehistoric genetic affinities — useful for researchers, genealogists, and ancestry enthusiasts. Results are approximations and best used with other evidence.

10 构成部分
世界范围 目标区域
MDLP 作者
Ancient 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

M

MDLP

计算创建器

关于此计算器

MDLP K10c is a 10-component admixture calculator tuned to reveal deep, ancient ancestry signals across modern and ancient genomes. It estimates proportional contributions from ten reference components — Paleosiberian, African, SEA (Southeast Asian), ASI (Ancestral South Indian), Basal, North European, East Eurasian, Papuan, Siberian, and CHG (Caucasus Hunter‑Gatherer) — to help users contextualize genetic profiles within broad prehistoric population structure.

Who it’s for: MDLP K10c is designed for worldwide users: genealogy and ancestry enthusiasts, academic researchers, archaeogeneticists, and anyone curious about deep-time genetic affinities. It is especially useful when you want an interpretable, component-based view of anciently rooted ancestries rather than fine-scale recent population structure.

What it analyzes and what you’ll learn: the calculator provides proportional estimates that indicate the relative weight of each reference component in a tested sample. From those proportions you can infer likely ties to major prehistoric movements and regions — for example, CHG signals related to Caucasus and steppe ancestries, ASI reflecting deep South Asian roots, Papuan and SEA marking Oceania and Southeast Asian heritage, and Basal capturing very early non‑African lineages. Paleosiberian and Siberian components distinguish northern Asian hunter‑forager backgrounds, while North European and East Eurasian capture more temperate Eurasian variation.

Context and value: MDLP K10c bridges modern genetic testing and archaeological time depth, providing a readable snapshot of anciently informed ancestry. It complements PCA, formal statistics, and haplogroup data by translating complex population history into accessible component proportions. Users should interpret results as approximations: component labels are heuristic, reference composition affects resolution, and admixture percentages reflect shared ancestry rather than precise migration dates. When used alongside

第二章联合国

参考人口

计算器中用作遗传参考的种群

10 Reference Populations

  • Paleosiberian: Indigenous groups from Siberia, often characterized by genetic diversity and ancient lineages.
  • African: Populations from Africa, the most genetically diverse continent, with numerous distinct ethnic groups.
  • SEA (Southeast Asian): Populations from Southeast Asia, known for diverse ethnic backgrounds and genetic influences from surrounding regions.
  • ASI (Ancestral South Indian): Ancestral component in the Indian subcontinent, distinct from North Indian ancestries.
  • Basal: Refers to older genetic lineages often found in African populations.
  • North European: Populations from Northern Europe, characterized by shared genetic features due to historical migrations.
  • East Eurasian: Populations across East Asia and the Ainu, with genetic links from historical nomadic movements.
  • Papuan: Indigenous people of New Guinea and nearby islands, known for distinct genetic characteristics.
  • Siberian: Ethnic groups from Siberia, sharing genetic traits with Northeastern Asian populations.
  • CHG (Caucasus Hunter-Gatherer): Ancient populations from the Caucasus region, influential in the genetics of West Asia and Europe.

Continent-Based Grouping:

  • Africa: African
  • Asia: Paleosiberian, SEA, ASI, East Eurasian, Siberian
  • Europe: North European, CHG
  • Oceania: Papuan
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 10 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 10 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