MDLP K10a
MDLP K10a is a 10-component autosomal admixture calculator for global use. It estimates ancestry proportions from Indian, SEA, NEA, Papuan, Siberian, Caucasian, Westeurope, African, Amerindian, and Mediterranean reference groups. Designed for genealogists, researchers, and curious individuals, it gives a clear, interpretable snapshot of major continental and regional ancestry signals and their historical significance.
计算器细节
有关此混合计算器的全面信息
关于此计算器
MDLP K10a is a modern, 10-component autosomal admixture calculator designed to decompose an individual’s genome into proportions drawn from ten broad reference ancestries: Indian, Southeast Asian (SEA), Northeast Asian (NEA), Papuan, Siberian, Caucasian, Westeurope (Western European), African, Amerindian, and Mediterranean. It analyzes genome-wide SNP data to estimate the relative contribution of these regional ancestries to an individual’s recent and deep ancestry. The model is optimized for global use — suitable for individuals from any region who want a clear, comparative view of major continental and subcontinental ancestry components.
Who it’s for: MDLP K10a is intended for genetic genealogy enthusiasts, population geneticists, clinicians wanting contextual ancestry information, and anyone curious about the large-scale ancestral makeup of themselves or their samples. It is useful for those exploring recent admixture (last few hundred to thousand years) and for researchers comparing broad population patterns across continents.
What you’ll learn: The calculator provides quantitative ancestry proportions, highlighting mixtures such as South Asian vs. West Eurasian influence, East vs. Southeast Asian signals, Papuan and Australo-Melanesian contributions, African and Amerindian portions, and distinctions between Mediterranean and Western European components. These proportions can suggest historical processes — migrations, trade, colonization, and regional gene flow — such as the spread of Austronesian peoples, Eurasian steppe movements, African dispersals, or the peopling of the Americas.
Context & value: MDLP K10a balances resolution and interpretability: ten well-differentiated clusters give meaningful geographic signal without overfitting. It complements haplogroup and local-ancestry analyses by providing a fast, interpretable snapshot of global ancestry composition. While powerful for broad interpretation, users should treat results as estimations that depend
参考人口
计算器中用作遗传参考的种群
10 Reference Populations
Indian: Represents the diverse ethnic groups of the Indian subcontinent, including Dravidian and Indo-Aryan populations.
SEA (Southeast Asian): Includes populations from countries like Thailand, Vietnam, and the Philippines, known for their Austroasiatic, Tai-Kadai, and Austronesian heritage.
NEA (Northeast Asian): Encompasses populations from China, Japan, Korea, and Mongolia, characterized by their Mongolic, Tungusic, and Sinic ancestry.
Papuan: Refers to the indigenous peoples of New Guinea and surrounding islands, known for their distinct Papuan languages.
Siberian: Involves the indigenous groups of Siberia, such as the Buryats and Yakuts, with Uralic and Altaic influences.
Caucasian: Encompasses populations from the Caucasus region, including Armenians, Georgians, and Chechens, with a rich blend of Indo-European and Caucasian languages.
Westeurope (Western European): Includes populations from Western Europe, primarily driven by Celtic, Germanic, and Romance ancestry.
African: Covers the vast ethnic diversity across Africa, from sub-Saharan groups like the Yoruba to North African Berbers.
Amerindian: Represents the indigenous peoples of the Americas, including tribes from North, Central, and South America, with diverse native languages.
Mediterranean: Involves populations from Southern Europe, North Africa, and the Near East with strong historical connections across the Mediterranean Sea.
理解混合分析
学习混合计算器如何工作,如何解释结果
什么是“混合分析”?
混合分析是用来通过将你的DNA与来自世界各地的参考人群进行比较来估计你的基因祖先的一种方法。 把它看作是创造了你的基因化妆的食谱, 即成分是不同的祖先种群。
此计算器使用 10 仔细选择 modern 作为参考,可以详细分解您的遗传遗产。
如何运作
- 将您的 DNA 与 10 个参考人群进行比较
- 以 Modern 人群作为遗传参考
- 结果显示你的基因与这些种群相似
- 使用不同的参考面板更准确
了解你的成果
您的研究结果将显示与这些参考人群的遗传相似性的百分比。请记住这些要点:
- 结果反映了遗传相似性,而不是直接祖先
- Modern populations are used as references
- 表明相对遗传贡献的百分比
- 结果是根据现有参考数据作出的估计数