MDLP K6
MDLP K6 is an ancient-era admixture calculator that estimates six deep ancestral components—SEA, Australo‑Melanesian, WHG, African, Paleosiberian, and Basal. Designed for researchers and curious users worldwide, it highlights broad prehistoric affinities and migration signals, offering an interpretable snapshot of deep population structure for ancient and modern genomes.
Détails du calculateur
Informations complètes sur ce calculateur d'admixture
À propos de ce calculateur
MDLP K6 is an ancient-era genetic admixture calculator designed to decompose an individual's autosomal profile into six deep ancestral components: Southeast Asian (SEA), Australo‑Melanesian, Western Hunter‑Gatherer (WHG), African, Paleosiberian, and Basal. Optimized for studies of deep population structure and ancient DNA, this model highlights broad prehistoric affinities and migration signals that shaped modern and ancient genomes worldwide.
Who this is for: MDLP K6 is intended for researchers, archaeogeneticists, advanced hobbyists, genetic genealogists, and students who want an interpretable, regionally broad estimate of deep ancestry. It is useful when comparing ancient samples, placing modern individuals in a long-term population context, or generating hypotheses about prehistoric contacts and population replacement.
What it reveals: The calculator reports proportional contributions from each of the six reference clusters, helping users identify dominant deep-lineage signals (for example, elevated Australo‑Melanesian or SEA affinity), detect traces of Paleosiberian or WHG ancestry, or measure residual African and deep Basal components. These proportions can indicate ancient admixture, long-range gene flow, or continuity within particular regions and timeframes.
Context and limitations: The “Basal” component represents a deep, early-diverging non-African lineage; WHG reflects western European hunter‑gatherer ancestry; Paleosiberian captures relict northeastern Eurasian signals; SEA and Australo‑Melanesian reflect distinct eastern non-African trajectories; African denotes sub‑Saharan ancestry or ancient backflow. Components are model constructs—coarse by design—and should be interpreted as broad affinities rather than precise, time-resolved events. MDLP K6 is most meaningful alongside complementary analyses (PCA, formal tests, archaeological context).
Why use it: MDLP K6 offers a clear, comparative snapshot of ancient-scale ancestry patterns. It is valuable
Populations de référence
Les populations utilisées comme références génétiques dans ce calculateur
6 populations de référence
SEA (Southeast Asian)
Explore the rich tapestry of Southeast Asia, where rice paddies, ancient temples, and vibrant marketplaces echo the diversity and dynamism of its people. This ancestry component captures the spirit of cultures that have thrived in lush landscapes from the Mekong Delta to the islands of Indonesia, reflecting millennia of trade, tradition, and human migration.
Australo-Melanesian
Explore the profound heritage of the Australo-Melanesian people, whose history is etched into the rugged landscapes of Australia and the scattered, sun-drenched islands of Melanesia. This ancestry captures the legacy of some of the earliest human migrations, characterized by distinct genetic markers that reveal a deep connection to the land and the sea.
WHG (Western Hunter-Gatherers)
Journey back to the time of the Western Hunter-Gatherers, the nomadic peoples who roamed the vast forests and rolling steppes of Ice Age Europe. This component reflects a heritage of resilience and adaptation, embodying the spirit of those who lived in harmony with the harsh climatic changes and megafauna of the Paleolithic era.
African
Embrace the diverse and rich genetic legacy of Africa, the cradle of humanity. This ancestry component spans from the sweeping savannahs and dense rainforests to the expansive deserts, encapsulating the genetic diversity that has shaped human evolution. It represents the birthplace of both ancient civilizations and varied cultures that have influenced the entire globe.
Paleosiberian
Discover the Paleosiberian ancestry, a testament to the rugged endurance of the peoples who have long inhabited the expansive and frosty landscapes of northeastern Siberia. This genetic lineage tells the story of small, isolated groups who mastered the harsh Arctic environment, a narrative of survival and cultural richness beyond the vast tundra.
Basal
Uncover your most ancient roots with the Basal ancestry component, representing the earliest known divergences in human genetic history. This deep ancestral line offers a glimpse into the fundamental building blocks of human diversity, predating the rise of agriculture and the subsequent migrations that have shaped the modern human tapestry.
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 6 populations antiques soigneusement sélectionnées comme références, pour une répartition détaillée de votre similarité génétique.
Comment ça fonctionne
- Votre ADN est comparé à 6 populations de référence
- Des populations Antique 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 Antique 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