MDLP K12a
MDLP K12a is a modern autosomal admixture calculator that breaks your genome into twelve global components (Indian, Southeastasian, Siberian, Neareast, African_HG, East-African, Northeuropean, Southeuropean, Westeuropean, Caucasian, Amerindian, Papuan-Melanesian). Designed for a worldwide audience, it reveals major and subtle ancestry signals, contextualizes migration history, and helps users explore mixed heritage—while emphasizing probabilistic interpretation and follow-up analysis.
Détails du calculateur
Informations complètes sur ce calculateur d'admixture
À propos de ce calculateur
MDLP K12a is a modern autosomal admixture calculator that estimates the proportional ancestry contributions to an individual genome from twelve global reference components: Indian, Southeastasian, Siberian, Neareast, African_HG (Hunter-Gatherer), East-African, Northeuropean, Southeuropean, Westeuropean, Caucasian, Amerindian and Papuan-Melanesian. It analyzes genome-wide SNP genotypes and converts them into a concise, interpretable breakdown of genetic affinities across broad and regional population clusters.
Designed for a worldwide audience—including curious individuals, family historians, community researchers, genetic genealogy hobbyists, and population geneticists—MDLP K12a offers both accessible summaries and meaningful comparative data. Users can see their dominant ancestries, discover minor or cryptic signals, and detect admixture patterns that reflect known historical movements such as Eurasian expansions, Austronesian dispersals, African population structure, and Native American or Oceanian ancestries.
The twelve components are statistical clusters derived from modern reference samples; labels indicate genetic affinities rather than fixed ethnic categories. For example, African_HG captures hunter-gatherer-linked ancestry within Africa, while Caucasian reflects affinities associated with populations of the Caucasus and surrounding regions. Because this is a Modern-era model, components reflect recent population structure shaped by millennia of migration and mixing rather than isolated ancient lineages.
MDLP K12a is valuable because it translates complex genotype data into a clear ancestral palette useful for exploration, hypothesis generation, and cross-validation with historical records or uniparental markers. It helps users contextualize mixed heritage, compare individuals across populations, and spot unexpected regional contributions that warrant deeper investigation. Users should interpret results as probabilistic estimates influenced by reference se
Populations de référence
Les populations utilisées comme références génétiques dans ce calculateur
12 populations de référence
Continent: Asia
- Indian: The Indian subcontinent, known for its diverse religions, ancient civilizations, vibrant cultures, and complex history.
- Southeastasian: Region including countries like Thailand, Vietnam, and Indonesia, featuring tropical climates, a blend of Buddhist and Hindu influences, and a rich culinary heritage.
- Siberian: The vast, sparsely populated region of northern Russia marked by extreme cold, indigenous communities, and unique wildlife.
- Neareast: Also known as the Middle East, a region encompassing parts of Western Asia and North Africa. It's known as the cradle of major religions and for its strategic importance.
Continent: Africa
- African_HG (Hunter-Gatherer): Refers to diverse populations across Africa with traditional hunting and gathering lifestyles, often possessing unique linguistic and genetic heritage.
- East-African: Diverse region including countries like Kenya, Ethiopia, and Tanzania. It features savannas, wildlife, a blend of African and Arab cultural influences, and a rich agricultural tradition.
Continent: Europe
- Northeuropean: Encompasses countries like Scandinavia, the Baltic states, and the British Isles, characterized by a shared history, often cooler climates, and distinct cultural traditions.
- Southeuropean: Mediterranean countries like Italy, Greece, and Spain, characterized by warm climates, olive cultivation, ancient architecture, and a strong emphasis on family and tradition.
- Westeuropean: Includes countries like France, Germany, and the Netherlands, known for their economic development, historic cities, and influential contributions to art and philosophy.
- Caucasian: Relating to the Caucasus region between the Black and Caspian seas, a mountainous area with a complex mix of cultures, languages, and ethnicities.
Continent: Americas
- Amerindian: Indigenous peoples of the Americas, with diverse cultures, languages, and histories spanning both North and South America.
Continent: Oceania
- Papuan-Melanesian: Oceanic populations found in Papua New Guinea, the Solomon Islands, and neighboring areas, known for their incredible linguistic diversity and unique cultural adaptations.
Comprendre l'analyse d'admixture
Découvrez le fonctionnement des calculateurs d'admixture et comment interpréter vos résultats
Qu'est-ce que l'analyse d'admixture ?
L'analyse d'admixture est une méthode qui permet d'estimer votre similarité génétique en comparant votre ADN à des populations de référence du monde entier. On peut la voir comme une composition de votre profil génétique, où les composantes représentent différentes populations de référence.
Ce calculateur utilise 12 populations modernes soigneusement sélectionnées comme références, pour une répartition détaillée de votre similarité génétique.
Comment ça fonctionne
- Votre ADN est comparé à 12 populations de référence
- Des populations Moderne sont utilisées comme références génétiques
- Les résultats indiquent votre similarité génétique avec ces populations
- Un panel de référence diversifié améliore la précision des estimations
Comprendre vos résultats
Vos résultats affichent des pourcentages de similarité génétique avec ces populations de référence. Gardez à l'esprit les points suivants :
- Les résultats reflètent une similarité génétique, pas une ascendance directe démontrée
- Des populations Moderne sont utilisées comme références
- Les pourcentages indiquent une contribution génétique relative dans le modèle
- Les résultats sont des estimations fondées sur les données de référence disponibles