Calculadora de mistura genética

GedrosiaDNA Kurdish K10

GedrosiaDNA Kurdish K10 — 10-component Kurdish-centered admixture model

A modern autosomal calculator optimized to resolve West Asian and adjacent ancestries. It estimates proportions from Kurdish, SE/NE/NW European, Indian, E‑Asian, Siberian, Sardinian, SW‑Asian and Sub‑Saharan reference groups. Ideal for people with Kurdish, Iranian Plateau, Caucasus or neighbouring European/South Asian roots who want fine-scale regional insights and a comparative snapshot of recent genetic structure.

10 Componentes
World Região de referência
Kurd Autor
Modern Época
Desplázate para explorar
Capítulo I

Detalhes da Calculadora

Informação detalhada sobre esta calculadora de mistura genética

K

Kurd

Criador da Calculadora

Sobre esta calculadora

GedrosiaDNA Kurdish K10 — Modern 10-component admixture model

This calculator analyzes an individual's autosomal DNA against a focused, 10-component reference panel designed around a Kurdish-centered West Eurasian framework. It estimates proportional ancestry from ten modern reference populations: Kurdish, SE-European, NE-European, Indian, E-Asian, NW-European, Siberian, Sardinian, SW-Asian, and Sub‑Saharan. The model is optimized to resolve fine-scale structure across West Asia, the Caucasus and adjoining parts of Europe and South Asia.

Who this is for:

  • Individuals of West Asian, Caucasus, Anatolian, Iranian Plateau or neighbouring European and South Asian descent
  • Genealogists and hobbyists wanting finer resolution for Kurdish‑linked ancestries
  • Population geneticists and students seeking a comparative modern admixture snapshot

What you gain:

  • A clear proportional breakdown across 10 interpretable components
  • Evidence of regional continuity (e.g., Sardinian-like Neolithic signal vs. Kurdish/SW‑Asian components)
  • Signals of steppe/European influx (NE/NW/SE European components) and eastern contributions (Siberian, E‑Asian)
  • South Asian (Indian) and Sub‑Saharan contributions when present
  • A tool to compare how your profile aligns with modern Kurdish and neighbouring populations

Historical and genetic context: The Kurdish component anchors the model to populations of the Zagros and adjacent highlands, regions characterized by long-term genetic continuity and multiple migration layers (Neolithic farmers, Bronze Age movements, later west/east Eurasian flows). Sardinian serves as a conservative proxy for early European farmer ancestry; Siberian and E‑Asian components capture northern and eastern Eurasian inputs. The split of European components (NW/NE/SE) helps reflect later regional differentiations.

Why use GedrosiaDNA Kurdish K10:

  • Provides targeted resolution for West Asian-centred ancestry questions
  • Complements broader, global calculators by
Capítulo II

Populações de referência

As populações utilizadas como referências genéticas nesta calculadora

10 Poblaciones de referencia

  • Kurdish: A population primarily inhabiting the regions spanning southeastern Turkey, northern Syria, northern Iraq, and western Iran with a distinct language and cultural heritage.

  • SE-European (Southeastern European): Populations from the Balkan Peninsula including countries like Greece, Bulgaria, and the former Yugoslav republics, known for diverse cultural influences due to historical migrations and empires.

  • NE-European (Northeastern European): Populations from countries in the northeastern part of Europe, particularly around the Baltic Sea such as Estonia, Latvia, and Lithuania, often characterized by Finno-Ugric and Baltic languages.

  • Indian: Populations from the Indian subcontinent, a region with diverse ethnic groups, languages, and religions, mostly found in India, Pakistan, Bangladesh, and surrounding areas.

  • E-Asian (East Asian): Populations from countries in East Asia, including China, Japan, Korea, and Mongolia, known for rich histories and linguistic diversity.

  • NW-European (Northwestern European): Populations from the northwestern part of Europe, including countries like the United Kingdom, Ireland, and the Nordic countries, often sharing Germanic and Celtic roots.

  • Siberian: Populations inhabiting Siberia in Russia, comprising various indigenous ethnic groups adapted to cold climates, such as the Evenks and the Buryats.

  • Sardinian: Refers to the native population of the island of Sardinia in the Mediterranean, known for unique genetic characteristics preserved due to geographical isolation.

  • SW-Asian (Southwestern Asian): Populations from the southwestern part of Asia, including the Arabian Peninsula and Iran, often with shared historical and cultural ties.

  • Sub-Saharan: Populations living in the Sub-Saharan region of Africa, characterized by a wide variety of ethnic groups, languages, and cultures, south of the Sahara Desert.

Continental Grouping:

  • Europe: SE-European, NE-European, NW-European, Sardinian
  • Asia: Kurdish, E-Asian, SW-Asian, Indian, Siberian
  • Africa: Sub-Saharan
Capítulo III

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 10 cuidadosamente seleccionadas modern populações como referências para descrever detalhadamente a semelhança genética.

Como funciona

  • Tu DNA se compara con 10 poblaciones de referencia
  • Modern 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
  • Modern se utilizan como referencias
  • As percentagens indicam contribuições relativas no modelo
  • Os resultados são estimativas baseadas nos dados de referência disponíveis