MDLP K12
MDLP K12 (Ancient era) — A 12-component global admixture calculator that maps your DNA onto deep ancestral clusters. Designed for genetic enthusiasts, researchers, and educators, it highlights prehistoric affinities (e.g., Siberian, Kalash, Near Eastern, Papuan, Amerindian) to reveal major migration signals and long-term population structure. Ideal for high-level historical context and comparative analysis.
计算器细节
有关此混合计算器的全面信息
关于此计算器
MDLP K12 (Ancient era) — What it analyzes
MDLP K12 is an ancient-era admixture calculator that parses a genome into 12 deep ancestral components, helping you explore how present-day DNA reflects prehistoric population structure and migration. It compares an individual's genotype against a panel of reference populations designed to capture major Paleolithic–Neolithic and later dispersals worldwide.
Reference populations included
- Siberian
- Caucasian
- Indian
- African
- West European
- East European
- Southeast Asian (SEA)
- Kalash
- Near East
- Uralic
- Amerindian
- Papuan
Who this is for
- Genetic genealogy enthusiasts who want deeper historical perspective
- Population geneticists and students seeking a compact ancestry breakdown
- Educators and historians illustrating large-scale human movements
- Anyone curious how ancient population structure contributes to modern diversity
What insights you can gain
- Proportional contributions from broad, historically informative clusters (e.g., West vs East Eurasian, island vs continental, deep Siberian vs Papuan)
- Signals of long-range migrations and clines (for example, Uralic or Siberian influence across Eurasia)
- Distinctive ancestry components such as Kalash-like South/Central Asian heritage or Amerindian/Papuan non-Eurasian lineages
- Hypotheses about continuity vs replacement in local gene pools
Historical and genetic context MDLP K12 emphasizes deep ancestry rather than recent admixture. Components reflect allele-frequency patterns that align with major prehistoric population events (Out-of-Africa differentiation, Eurasian splits, Australo-Melanesian and Native American branches, steppe and Near Eastern expansions). The “Ancient” era label means the model prioritizes long-standing population structure and ancestral affinities rather than recent, fine-scale admixture.
Why this calculator is valuable It provides a clear, world-spanning framework to situate your genome within deep human
参考人口
计算器中用作遗传参考的种群
12 Reference Populations
Siberian: Indigenous ethnic groups living in the vast region of Siberia in Russia, characterized by diverse cultures and languages.
Caucasian: Populations originating from the Caucasus region, situated between the Black Sea and the Caspian Sea, displaying diverse ethnic and cultural identities.
Indian: Populations native to the Indian subcontinent, encompassing a multitude of languages, cultures, and religions.
African: Diverse ethnic groups native to the African continent, characterized by a wide range of cultures, languages, and historical backgrounds.
West European: Populations of Western Europe with shared cultural and historical roots, generally speaking Indo-European languages.
East European: Populations originating from Eastern Europe, sharing Slavic languages and influenced by historical migrations and political changes.
SEA (Southeast Asian): Diverse ethnic groups from Southeast Asia, with rich cultures influenced by interactions between indigenous groups and external civilizations.
Kalash: An indigenous minority ethnic group from Pakistan known for their distinct culture, language, and religious practices, differing significantly from surrounding populations.
Neareast (Near Eastern): Populations from the Near East region, historically rich with ancient civilizations, diverse in languages and religions.
Uralic: Ethnic groups speaking Uralic languages, spanning from Eastern Europe to Siberia, including the Finnish and Estonian populations.
Amerindian: Indigenous peoples of the Americas, with diverse cultures and languages that predate European colonization.
Papuan: Indigenous populations of Papua New Guinea and neighboring islands, characterized by a high degree of linguistic and cultural diversity.
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 12 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 12 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