Admixture Calculator

Marques Modern Europe and Middle East K19

**Marques Modern Europe and Middle East K19 (Modern)** — A K=19 autosomal admixture calculator that compares your DNA to 19 modern reference populations across Europe, the Middle East, North Africa and beyond. Ideal for genealogy enthusiasts and researchers, it reveals fine regional ancestry proportions, migration signals, and minor admixture while noting limitations tied to reference panels and modern-population inference.

19 Components

World Target Region

Marques Author

Modern Era

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Chapter I

Calculator Details

Comprehensive information about this admixture calculator

Author Marques

Era Modern

Components 19 Populations

Target Region World

Created December 2022

Marques

Calculator Creator

About This Calculator

**Marques Modern Europe and Middle East K19 — Modern era admixture calculator** This calculator estimates autosomal ancestry proportions by comparing your genetic profile to 19 modern reference populations spanning Europe, the Middle East, North Africa, Sub‑Saharan Africa and beyond. Using a K=19 model, it teases apart fine regional affinities that are especially relevant for people with European and neighboring-Middle‑Eastern backgrounds. What it analyzes - Genome-wide autosomal markers to compute proportional similarity to each reference cluster. - Relative contributions from populations such as **Italy, Greek & Balkans, Scandinavia, Baltic, Volga & Oural, Middle East, North Africa, North East Africa,** and others. Who this is for - Genealogy and family-history enthusiasts with roots in Europe, the Caucasus, or the Middle East. - Population genetics students and researchers needing an accessible modern-reference admixture profile. - Anyone curious about recent ancestry and regional genetic signals (not medical or trait prediction). What insights you can gain - Proportional breakdown of likely regional ancestry across 19 modern population clusters. - Signals of historical migrations (e.g., steppe/Volga influences, Mediterranean vs Northern European components). - Detection of minor admixture from distant regions (e.g., Sub‑Saharan, South/Central Asia, or North Africa) that reflect past gene flow. Context and limitations - The model uses contemporary reference populations; inferred components reflect similarity to those groups today, not direct one-to-one ancient ethnicity. - Percentages are model-based estimates influenced by reference choice and marker density; they indicate affinity, not definitive origin. Why it's valuable - Provides a nuanced, regionally informed portrait of recent ancestry across Europe and neighboring regions. - Helps users contextualize family history, compare profiles, and generate hypotheses for deeper genealogical or academic f

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Chapter II

Reference Populations

The populations used as genetic references in this calculator

19 Reference Populations

East_Asia: Consists of populations from China, Japan, Korea, and surrounding regions in the continent of Asia.
Subsaharan_Africa: Includes diverse ethnic groups from regions south of the Sahara Desert in the continent of Africa.
Sardinia: Represents the unique population of the island of Sardinia, with genetic differences from mainland Italy in the continent of Europe.
North_East_Africa: Covers populations in regions like Egypt and the Horn of Africa in the continent of Africa.
Middle_East: Encompasses populations from countries like Iran, Iraq, and the Arabian Peninsula in the continent of Asia.
South_&_Central_Asia: Involves populations from areas such as India, Pakistan, and neighboring regions in the continent of Asia.
Italy: Pertains to the populations residing in the mainland of Italy in the continent of Europe.
Oceania: Includes indigenous populations from regions such as Australia, New Guinea, and Pacific Islands in the continent of Oceania.
Native_America: Comprises indigenous peoples across North and South America.
East_Europe: Refers to populations in countries like Poland, Ukraine, and Russia in the continent of Europe.
West_Asia: Includes populations from regions such as Turkey and the Caucasus in the continent of Asia.
Scandinavia: Represents populations from countries like Sweden, Norway, and Denmark in the continent of Europe.
Volga_&_Oural: Covers populations from the Volga and Ural regions of Russia in the continent of Europe.
Greek_&_Balkans: Encompasses populations from Greece and the Balkan Peninsula in the continent of Europe.
Baltic: Contains populations from countries like Latvia, Lithuania, and Estonia in the continent of Europe.
South_West_Europe: Includes populations from countries such as Spain and Portugal in the continent of Europe.
North_West_Europe: Consists of populations from regions including the UK, Ireland, and parts of France in the continent of Europe.
North_Africa: Covers populations from countries such as Morocco, Algeria, and Tunisia in the continent of Africa.
Finnish: Refers to the population of Finland with unique genetic characteristics in the continent of Europe.

Chapter III

Understanding Admixture Analysis

Learn how admixture calculators work and how to interpret your results

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 19 carefully selected modern populations as references, allowing for a detailed breakdown of your genetic heritage.

How It Works

Your DNA is compared to 19 reference populations
Modern populations are used as genetic references
Results show your genetic similarity to these populations
More accurate with a diverse reference panel

Understanding Your Results

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

Results reflect genetic similarity, not direct ancestry
Modern populations are used as references
Percentages indicate relative genetic contribution
Results are estimates based on available reference data