MDLP K5

By MDLP
Admixture Calculator

Calculator Details

Name
MDLP K5
Target Population
World
Author
MDLP
Era
Ancient
Number of Components
5
Description
MDLP K5 is an Ancient-era admixture calculator that models a person's or sample's deep ancestral composition against five broad reference populations: East-Eurasian, West-Eurasian, Caucasian, South-Asian, and Paleo-mediterranean. Designed for a global audience — genetic hobbyists, students of population history, archaeogeneticists, and genealogists — it provides a clear, interpretable snapshot of major ancient genetic components that shaped human populations across millennia. The calculator quantifies proportional affinities to large-scale ancestral clusters rather than pinpointing recent family-level ancestry. By mapping results into five interpretable axes, MDLP K5 highlights major prehistoric trends: the east–west Eurasian separation, Caucasus-related gene flow as a conduit between Europe and Asia, South Asian clines associated with the subcontinent’s complex peopling, and Paleo-Mediterranean signatures tied to early hunter-gatherer and pre-Neolithic Mediterranean groups. These components help users see where their DNA aligns with broad ancient population structure and migration corridors. Users gain insights into long-term ancestry proportions, comparative placement of ancient samples, and hypotheses about past migrations or admixture events. The model is particularly useful for visualizing high-level patterns, cross-referencing archaeological contexts, and teaching or demonstrating how major ancestral streams contributed to modern diversity. MDLP K5 is valuable because it balances simplicity and historical relevance: five stable components reduce noise while preserving meaningful contrasts. It is not a fine-scale recent-ancestry tool; interpretations should be supported with additional analyses (PCA, qpAdm, formal tests) and archaeological or historical data. Use MDLP K5 for a robust, educational, and globally oriented first look at ancient admixture and the deep genetic architecture of human populations.
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Reference Populations

East-Eurasian - Broad ancestry component representing populations from East Asia and Southeast Asia, including Chinese, Japanese, Korean, Southeast Asian, and related groups.

West-Eurasian - Broad ancestry component representing populations from Western Eurasia, including Europeans, Middle Easterners, Central Asians, and North Africans.

Caucasian - Ancestry related to populations from the Caucasus region between Europe and Asia, including Georgian, Armenian, Azerbaijani, and other Caucasian ethnic groups.

South-Asian - Ancestry component representing populations from the Indian subcontinent, including modern-day India, Pakistan, Bangladesh, Sri Lanka, and Nepal.

Paleo-mediterranean - Ancient Mediterranean ancestry component representing early populations around the Mediterranean Basin, likely including pre-Neolithic hunter-gatherer groups and early Mediterranean farmers. This component may capture genetic signatures from ancient populations before major population movements and admixture events in the region.

What is Admixture Analysis?

Admixture analysis is a method used to estimate your genetic ancestry by comparing your DNA to reference populations from around the world. Think of it as creating a recipe of your genetic makeup, where the ingredients are different ancestral populations.

This calculator uses 5 carefully selected ancient populations as references, allowing for a detailed breakdown of your genetic heritage.

How It Works

Key Points
  • Your DNA is compared to 5 reference populations
  • Modern populations are used as references
  • Results show your genetic similarity to these populations

Understanding Your Results

Your results will show percentages of genetic similarity to these reference populations. Remember:

  • Results reflect genetic similarity, not direct ancestry
  • Ancient populations are used as references
  • Percentages indicate relative genetic contribution from each population
  • Results are estimates based on available reference data
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