MDLP K17
MDLP K17 (Ancient) breaks your genome into 17 deep‑time ancestral components using ancient and archaic reference proxies. Ideal for researchers, genealogists and history enthusiasts, it highlights hunter‑gatherer, farmer, steppe, Siberian, Amerindian, Austronesian and basal signals to illuminate prehistoric migrations and admixture shaping global populations.
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 K17 (Ancient) is an admixture calculator that decomposes a genome into deep-time ancestral components using 17 ancient and archaic reference populations. It measures the proportional contribution of broad prehistoric groups—such as Ancient North Eurasians (ANE), Early European Farmers (EEF), Western European Hunter-Gatherers (WHG), various Siberian and circumpolar lineages, basal Near‑East and Caucasian signals, as well as transcontinental inputs like Amerindian, Melano‑Austronesian and South/South‑East Asian components. The set also includes specialized proxies for Uralic, Sami‑Finnic, South and North Indian ancestries, archaic African and sub‑Saharan components, and other basal Eurasian-like signals.
Designed for researchers, genetic genealogy enthusiasts, students of human prehistory and anyone curious about ancient population structure worldwide, MDLP K17 offers an accessible window into migrations and admixture events that shaped modern populations. Users gain quantitative insights into deep ancestral affinities, helping to distinguish farmer vs. hunter‑gatherer legacies, steppe‑related vs. Siberian contributions, and signals associated with early transoceanic expansions.
Placed in historical context, the calculator highlights major prehistoric processes—Out‑of‑Africa dispersals, the Neolithic transition from Anatolia into Europe, the spread of ANE‑related ancestry across northern Eurasia, peopling of the Americas, Austronesian expansions, and Uralic/Circumpolar influences—using modern proxies derived from ancient and contemporary datasets.
MDLP K17 is valuable because it complements modern-focused analyses: by emphasizing ancient reference clusters it helps interpret deep ancestry, detect unexpected archaic or basal components, and provide a narrative scaffold for archaeological and linguistic hypotheses. Users should remember that reference populations are simplified proxies; results are best interpreted as broad signals of shared ancestry rather than
参考人口
计算器中用作遗传参考的种群
17 Reference Populations
African_Sub-Saharan
- Populations: Bantu, Pygmy, Khoisan.
- Continent: Africa
Amerindian
- Populations: Indigenous groups of North, Central, and South America.
Ancestral_East_European_ANE (Ancient North Eurasian)
- Populations: Ancient Siberian and Eastern European.
- Continent: Eurasia
Ancestral_East_Siberian
- Populations: Ancestors of indigenous Siberians and some Native Americans.
- Continent: Asia
Ancestral_Mediterranean_EEF (Early European Farmers)
- Populations: Early European agricultural communities.
- Continent: Europe
Ancestral_North_Indian
- Populations: Linked to Indo-Aryan and earlier populations of northern India.
- Continent: Asia
Ancestral_Sami-Finnic
- Populations: Sámi and Finnic-speaking peoples.
- Continent: Europe
Ancestral_South_Indian
- Populations: Dravidian-speaking groups in southern India.
- Continent: Asia
Ancestral_West_Siberian
- Populations: Influenced genetic makeup of modern Siberians and Central Asians.
- Continent: Asia
Archaic_African
- Populations: Deeply diverged ancient African lineages.
- Continent: Africa
Caucasian-Basal
- Populations: Early human branch near the Caucasus Mountains.
- Continent: Eurasia
Circumpolar
- Populations: Inuit, Sámi, and other Arctic indigenous groups.
Melano-Austronesian
- Populations: Austronesian-speaking world, including Southeast Asia, Oceania, and Melanesia.
- Continent: Oceania
Near-East-Basal
- Populations: Contributed to Middle Eastern, North African, and parts of European genetics.
- Continent: Eurasia
South_East_Asian
- Populations: Contributed to genetic makeup in Thailand, Vietnam, Indonesia.
- Continent: Asia
Uralic
- Populations: Finns, Estonians, Hungarians.
- Continent: Europe
West_European_HG (Western European Hunter-Gatherers)
- Populations: Pre-agricultural hunter-gatherers of Western Europe.
- Continent: Europe
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 17 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 17 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