混合计算器

MDLP K9c

MDLP K9c is a nine-component global admixture calculator that estimates ancestry proportions from autosomal SNP data across African, Amerindian, Caucasian, European, Indian, Near East, Papuan, Southeast Asian, and Siberian reference groups. Designed for worldwide users—from genealogists to researchers—it offers an accessible, comparative view of major ancestral affinities and migration-related signals while remaining straightforward to interpret.

9 构成部分
世界范围 目标区域
MDLP 作者
Modern 大纪元
要探索的滚动
第一章联合国

计算器细节

有关此混合计算器的全面信息

M

MDLP

计算创建器

关于此计算器

MDLP K9c is a modern, nine-component autosomal admixture calculator designed to provide a clear, comparative view of global ancestry. Using genotype data from SNP microarrays, it estimates the proportional contribution of nine broad reference populations—African, Amerindian, Caucasian, European, Indian, Near East, Papuan, Southeast Asian (SEA), and Siberian—to an individual's genome. The calculator is intended for a worldwide audience: genetic genealogy enthusiasts, adoptees, family historians, population geneticists, and anyone curious about their deep ancestral affinities.

By translating tens of thousands of genetic markers into nine intuitive components, MDLP K9c reveals which large-scale ancestries dominate a profile and which are present at lower levels. Users gain insights into continental and subcontinental connections, helping to contextualize family stories, migration histories, and regional affinities. The nine components reflect major prehistoric and historic population movements—Out-of-Africa dispersals, peopling of the Americas, Eurasian farmer and steppe expansions, South Asian and Near Eastern demography, Austronesian and Papuan dispersals, and Siberian gene flow—so results can be interpreted alongside archaeological and linguistic evidence.

MDLP K9c is valuable because it balances resolution with accessibility: fewer components reduce overfitting and simplify interpretation while retaining enough granularity to detect meaningful regional signals. It is useful for cross-tool comparisons, providing a stable framework for tracking how ancestry proportions change across different calculators. Users should note that component labels are broad approximations and that accuracy depends on the quality and representativeness of reference samples. MDLP K9c is best used as a comparative, exploratory tool that complements genealogical records and other genetic analyses, offering a global perspective on ancestry that is both scientifically grounded and easy to u

第二章联合国

参考人口

计算器中用作遗传参考的种群

9 Reference Populations

  1. African:
    Dive into the rich tapestry of African ancestry, spanning from the rolling savannahs to the expansive deserts and lush rainforests. This component reflects the cradle of humanity, where diverse cultures, languages, and biological traits have evolved over millennia, contributing profoundly to the global genetic and cultural landscape.

  2. Amerindian:
    The Amerindian ancestry component encapsulates the rich heritage of the indigenous peoples of North, Central, and South America. This lineage reveals the deep-rooted traditions and adaptations of societies that have flourished across diverse environments, from the Arctic cold to the Amazonian heat, long before European contact.

  3. Caucasian:
    Explore the Caucasian ancestry, rooted in the rugged terrains between the Black and Caspian Seas. This region is a melting pot of cultures, languages, and genetic lineages, reflecting centuries of trade, conquest, and cultural exchange that have shaped the identities of the diverse peoples inhabiting this ancient crossroads.

  4. European:
    The European ancestry component spans a continent rich in history and cultural evolution, from the ancient Greeks and Romans to the modern era. This lineage reflects a journey through time, where complex societies developed strong traditions in art, science, and philosophy that have fundamentally shaped Western civilization.

  5. Indian:
    Discover the Indian ancestry component, characterized by its vast array of cultures, religions, and languages that have mingled on the Indian subcontinent. From the Himalayas to the southern coasts, this heritage is a testament to the region's role as both a birthplace of ancient civilizations and a dynamic player in modern global exchanges.

  6. Near East:
    The Near East ancestry component covers the fertile crescent and beyond, an area pivotal in the history of civilization where farming, writing, and the first cities emerged. This lineage captures the essence of a region that has been a cultural and religious melting pot for millennia, influencing and influencing civilizations around the globe.

  7. Papuan:
    Papuan ancestry highlights the distinct genetic and cultural evolution of the people in New Guinea and nearby islands. Living in one of the most biodiverse regions on Earth, the Papuans have maintained their traditions and languages through thousands of years, showcasing a profound connection to their environment.

  8. SEA (Southeast Asian):
    Southeast Asian ancestry reflects a region shaped by its tropical climate and maritime geography, where a rich history of kingdom-building, trade, and cultural exchange flourishes. From the rice paddies of Vietnam to the islands of Indonesia, this component reveals the adaptive, diverse nature of the peoples in this vibrant area.

  9. Siberian:
    Siberian ancestry conveys the adaptation of its peoples to the vast and harsh landscapes of northern Asia. This lineage captures the spirit of resilience of the nomadic tribes and settled communities who have thrived in the Arctic and sub-Arctic zones, navigating the challenges of extreme climates and remote geographies.

Chapter III

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 9 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 9 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