Marques Modern World K27

By Marques

Admixture Calculator

Calculator Details

Name

Target Population

World

Author

Marques

Era

Modern

Number of Components

Description

Marques Modern World K27 is an autosomal admixture calculator designed to estimate the proportional ancestry of modern individuals against a broad, globally representative reference panel of 26 populations. Using genome-wide genotype data (e.g., SNP arrays), the calculator decomposes an individual's genetic profile into regional components — from East and West Africa, through Europe and the Near East, across Central and East Asia, to Oceania and the Americas — highlighting proportions attributable to contemporary population clusters. It is intended for worldwide users: genealogists, citizen scientists, population geneticists, adoptees, and anyone curious about their recent biogeographic ancestry. What you gain: clear, quantitative ancestry proportions that reveal likely geographic affinities and recent admixture patterns; comparative context that situates your profile among major modern population clusters; and insight into subtle regional signals (for example, distinguishing Northern and Southern European inputs, differentiating South and East Asian components, or detecting Oceanian and Indigenous American ancestry). The calculator is framed for the Modern era, reflecting recent population structure shaped by migrations, trade, colonization, and admixture. Context and limitations: Modern human genetic variation is clinal and shaped by continuous gene flow. K27 provides a model-based snapshot against its chosen reference panel (East_Africa, North_Africa, North_East_Africa, South_Africa, West_Africa, Central_Asia, East_Asia, North_East_Asia, South_Asia, South_East_Asia, West_Asia, Volga & Oural, Baltic, British_Islanders, East_Europe, Finnish, Greece & Balkans, Italy, Sardinia, Scandinavia, South_West_Europe, West_Europe, Australian_Aboriginal, Melanesia, North & Central Amerindian, South_Amerindian). Interpret results as probabilistic and comparative rather than definitive labels. Why valuable: K27 balances wide geographic coverage with fine resolution across Eur

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Reference Populations

Africa

East_Africa: Populations native to regions such as Ethiopia, Somalia, and Kenya, characterized by a mix of Sub-Saharan and North African ancestries.
North_Africa: Populations from countries like Morocco, Algeria, and Egypt, influenced by Berber, Arab, and Sub-Saharan ancestries.
North_East_Africa: Includes populations from areas like Sudan, showing influences from the Middle East and Sub-Saharan Africa.
South_Africa: Diverse populations including Bantu ethnic groups and influences from colonial Dutch and British.
West_Africa: Includes ethnic groups from Nigeria, Ghana, etc., primarily characterized by Niger-Congo languages and cultures.

Asia

Central_Asia: Populations from countries like Kazakhstan and Uzbekistan, influenced by Turkic, Persian, and Russian ancestries.
East_Asia: Populations from China, Japan, and Korea, characterized by Han Chinese and other ethnic minorities.
North_East_Asia: Includes populations from regions like Mongolia and parts of Siberia, influenced by indigenous Siberian and East Asian ancestries.
South_Asia: Populations from India, Pakistan, etc., characterized by diverse Indo-Aryan and Dravidian ancestries.
South_East_Asia: Populations in regions like Thailand, Vietnam, and Indonesia, with Austroasiatic, Tai, and Austronesian influences.
West_Asia: Populations from countries like Turkey, Iran, and Iraq, characterized by Persian, Arab, and Turkic ancestries.
Volga_&_Oural: Populations around the Volga River and Ural Mountains, influenced by Russian, Finno-Ugric, and Turkic ancestries.

Europe

Baltic: Includes populations from countries like Lithuania, Latvia, and Estonia, characterized by Finno-Ugric influences.
British_Islanders: Populations from the UK and Ireland, predominantly Celtic, Anglo-Saxon, and Norman ancestries.
East_Europe: Includes populations from Poland, Ukraine, and Belarus, with Slavic and some influences from neighboring regions.
Finnish: Populations with Finno-Ugric ancestry, primarily from Finland.
Greece_&_Balkans: Includes populations from Greece and Balkan countries, with ancient Greek and Slavic influences.
Italy: Populations characterized by diverse ancestries due to historical influences from Romans, Greeks, and others.
Sardinia: Unique Mediterranean population distinct from mainland Italy, influenced by ancient Mediterranean civilizations.
Scandinavia: Includes populations from Norway, Sweden, and Denmark, characterized by Germanic ancestries.
South_West_Europe: Includes Spain and Portugal, characterized by Iberian, Celtic, and Moorish influences.
West_Europe: Includes populations from France, Belgium, and surrounding areas, influenced by Celtic, Roman, and Germanic lineages.

Oceania

Australian_Aboriginal: Indigenous populations of Australia, characterized by unique genetic and cultural heritage.
Melanesia: Populations from islands like Papua New Guinea, characterized by distinct Papuan and Austronesian ancestries.

Americas

North_&_Central_Amerindian: Indigenous populations of North and Central America, with diverse pre-Columbian ancestries.
South_Amerindian: Indigenous populations of South America, with influences from pre-Columbian civilizations like the Inca.

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

How It Works

Key Points

Your DNA is compared to 27 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
Modern populations are used as references
Percentages indicate relative genetic contribution from each population
Results are estimates based on available reference data