Tolan K20 BronzeAge
Tolan K20 BronzeAge — 20-population Bronze Age admixture model
A Bronze Age–focused ancestry calculator for global users. Decomposes genomes into 20 ancient and regional reference components (Anatolian_CHL, Iran_CHL, West-/East-Steppe, Jordan_BA, Mota, North-Africa, Siberian, Amerindian, etc.) to highlight farmer, steppe, Near Eastern, African, and Asian signals. Ideal for genetic genealogy, archaeogenetics, and comparative analysis; interprets proportions as model-based estimates.
Detalhes da Calculadora
Informação detalhada sobre esta calculadora de mistura genética
Sobre esta calculadora
Tolan K20 BronzeAge — Ancient-era Admixture Calculator
This calculator estimates ancestry proportions against a curated 20-population Bronze Age-focused reference panel. It is designed to analyze how a query genome decomposes into ancestries modeled from ancient and regionally informative groups, including Anatolian and Armenian Chalcolithic, multiple Steppe components, Iran Chalcolithic, Jordan Bronze Age, East and West Eurasian clusters, African references (Mota, North-Africa, West-Africa), and transcontinental groups such as Amerindian, Oceanian and Siberian.
Who it’s for
- Genetic genealogists, archaeogeneticists, and curious individuals worldwide who want Bronze Age–centric ancestry context.
- Researchers comparing modern or ancient samples to a consistent Bronze Age-informed scaffold.
What it analyzes and the insights you can gain
- Proportional contributions from 20 reference ancestries (e.g., West-Steppe, East-Steppe, Anatolian_CHL, Iran_CHL, Jordan_BA).
- Relative signals of farmer, hunter-gatherer, steppe pastoralist, and regional African or Asian components that shaped populations in the Bronze Age and later.
- Patterns useful for detecting Steppe expansions, Near Eastern farmer influence, South/Central Asian input, and transcontinental admixture visible in modern and ancient samples.
Historical and genetic context
The Bronze Age was a period of major population movements and cultural exchange. This model uses ancient and geographically-relevant genetic clusters to reflect known demographic processes—such as Anatolian-derived farming expansions, Iranian plateau contributions, and multiple waves of Steppe-related migrations—while also accounting for African and East Asian lineages that intersected with Eurasian populations.
Why this calculator is valuable
- Provides a Bronze Age–aware decomposition that complements modern-centric calculators.
- Useful for hypothesis generation, comparative studies, and personal exploration of deep ancestry.
Populações de referência
As populações utilizadas como referências genéticas nesta calculadora
20 Poblaciones de referencia
- Amerindian: Indigenous peoples of the Americas, primarily from North and South America.
- East-Asian: Populations native to East Asia, including countries like China, Japan, and Korea.
- East-African: Ethnic groups in the eastern part of Africa, including regions of modern-day Ethiopia, Kenya, and neighboring countries.
- Oceanian: Indigenous peoples from the islands of the Pacific Ocean, including groups from Australia, New Zealand, and other Pacific islands.
- Siberian: Populations from Siberia, the extensive geographical region in Russia, home to various indigenous peoples.
- South-Asian: Ethnic groups from the southern part of Asia, including India, Pakistan, Bangladesh, and Sri Lanka.
- South-Chinese: Populations from the southern regions of China, known for cultural and ethnic diversity.
- West-Africa: Ethnic groups located in the western region of Africa, known for linguistic and cultural variety.
- West-Euro: Populations native to Western European countries, including France, Spain, and Germany.
- Central-Euro: Ethnic groups from Central Europe, an area that includes Germany, Poland, and Czech Republic.
- North-East-Euro: Populations from northeastern Europe, including countries like Russia, Estonia, Latvia, and Lithuania.
- North-Africa: Ethnic groups located in the northern region of Africa, encompassing countries like Egypt, Libya, Algeria, and Morocco.
- Jordan_BA: Populations from the Bronze Age in the area known today as Jordan; part of ancient Near Eastern civilizations.
- Mota: An ancient Ethiopian individual from the Mota cave, indicative of early African human populations.
- Anatolian_CHL: Chalcolithic populations from the region of Anatolia, part of modern-day Turkey; known for early agricultural developments.
- Armenia_CHL: Chalcolithic populations from the region of Armenia, part of ancient Near Eastern societies.
- Iran_CHL: Chalcolithic populations from the region of Iran, contributing to ancient Persian civilizations.
- West-Steppe: Populations originating from the western Eurasian steppe region, associated with Indo-European migrations.
- East-Steppe: Populations from the eastern Eurasian steppe, contributing to the spread of various nomadic cultures.
- Steppe_to_SCAsian: Migration of steppe populations into South-Central Asia, influencing genetic and cultural landscapes.
Como interpretar a análise de mistura genética
Descubra como funcionam as calculadoras de mistura genética e como interpretar os resultados
O que é a análise de mistura genética?
A análise de mistura genética estima a semelhança genética comparando o seu DNA com populações de referência de diferentes partes do mundo. Os componentes do modelo representam essas referências e dependem dos dados e pressupostos utilizados.
Esta calculadora utiliza 20 cuidadosamente seleccionadas ancient populações como referências para descrever detalhadamente a semelhança genética.
Como funciona
- Tu DNA se compara con 20 poblaciones de referencia
- Ancient se utilizan como referencias genéticas
- Os resultados mostram a sua semelhança genética com estas populações
- A diversidade do painel de referência influencia as estimativas
Como interpretar seus resultados
Os resultados mostram percentagens de similaridade genética com estas populações de referência. Tenha presente estes pontos:
- Os resultados reflectem a semelhança genética, não ascendência directa demonstrada
- Ancient se utilizan como referencias
- As percentagens indicam contribuições relativas no modelo
- Os resultados são estimativas baseadas nos dados de referência disponíveis