حاسبة التركيب الجيني

Global Ancestry K27 with Jewish Populations

Global Ancestry K27 — Modern, high-resolution admixture analysis

Compare your autosomal DNA to 21 curated regional references to receive clear percentages of continental and subcontinental ancestry. Ideal for genealogy enthusiasts, adoptees, and researchers, K27 highlights modern-era migration signals (e.g., Mediterranean, Eurasian, African, Oceanian) while noting statistical uncertainty and reference limits.

27 المكوّنات
العالم المنطقة المستهدفة
DNA Genics المؤلف
حديثة الفترة
مرّر لاستكشاف الصفحة
الفصل الأول

تفاصيل الحاسبة

معلومات عن حاسبة التركيب الجيني

D

DNA Genics

منشئ الحاسبة

نبذة عن الحاسبة

Global Ancestry K27 — Modern, continental-to-subcontinental admixture analysis

Global Ancestry K27 evaluates your autosomal DNA against a curated set of 21 regional reference populations to produce a clear, quantitative portrait of genetic ancestry. Designed for people with genotype data from consumer labs (e.g., 23andMe, AncestryDNA, MyHeritage) as well as genealogists, adoptees, educators, and population geneticists, this calculator emphasizes modern-era, high-resolution continental and subcontinental signals.

What it analyzes:

  • Genome-wide autosomal markers compared to reference groups including East Asian, West African, North African, Anatolia/Caucasus/Iranian Plateau, Sardinian, Ashkenazi Jewish, Scandinavia, Oceania, the Americas, and more.
  • Relative ancestry proportions that reflect both recent admixture and deeper regional affinities.

Insights you can gain:

  • Estimated percentage contributions from major world regions and specific subregions (e.g., North Italy vs. Iberian; Central Indian vs. Southern Indian).
  • Signals that illuminate recent family history (multi-generational mixing) and broader migration patterns (e.g., Eurasian steppe, Mediterranean exchanges, trans-Atlantic movement).
  • Identification of distinctive components such as Sardinian-like isolation, Ashkenazi Jewish genetic clusters, or Oceania-specific ancestry.

Historical and genetic context: K27 is framed for the modern era: it highlights population structure shaped by documented historical migrations, trade routes, and demographic events rather than deep Paleolithic splits alone. Reference populations reflect both geographically and culturally informative groups (e.g., Anatolia/Caucasus/Iranian Plateau to capture Near Eastern inputs; North British Isles and Scandinavia for northern European substructure).

Why this calculator is valuable:

  • Offers balanced, interpretable subcontinental resolution useful for personal genealogy and research.
  • Presents results with clear caveats abo
الفصل الثاني

المجموعات السكانية المرجعية

المجموعات السكانية التي تستخدمها الحاسبة كمراجع جينية

27 مجموعة سكانية مرجعية

Africa:

  • Africa East
    Populations from regions like Ethiopia, Kenya, and Tanzania, known for diverse ethnic groups.

  • Central African
    Groups inhabiting countries like the Democratic Republic of Congo and Cameroon, rich in cultural diversity.

  • North African
    Populations from Morocco, Egypt, and Tunisia, influenced by Arab and Berber ancestry.

  • West African
    Ethnicities from Nigeria, Ghana, and Senegal, known for a rich history and cultural heritage.

Americas:

  • Americas
    Diverse populations including Indigenous peoples, European descendants, and African diasporas.

Asia:

  • Anatolia Caucasus Iranian Plateau
    Encompasses populations from modern-day Turkey, Caucasus region, and Iran, known for historical empires.

  • Central Asia
    Groups from countries like Kazakhstan and Uzbekistan, with a strong nomadic heritage.

  • Central Indian Subcontinent
    Populations from central regions of India, diverse in language and culture.

  • East Asia
    Includes populations from China, Japan, and Korea, characterized by distinct cultural traditions.

  • East European
    Slavic and other groups from countries like Russia and Ukraine, influenced by both European and Asian cultures.

  • Southern Indian Subcontinent
    Populations from South India and Sri Lanka, known for Dravidian languages and cultures.

Europe:

  • Ashkenazi Jewish
    Jewish communities that historically settled in Central and Eastern Europe, with a unique cultural heritage.

  • Balkan
    Diverse populations from the Balkan Peninsula, known for complex ethnic and religious histories.

  • Finland
    Finnish populations, known for their Uralic language and distinct cultural identity.

  • Iberian
    Populations from Spain and Portugal, influenced by a blend of European and Mediterranean cultures.

  • North British Isles
    Inhabitants of the UK and Ireland, with Celtic and Anglo-Saxon ancestry.

  • North Italy
    Populations from Northern Italy, with Roman and other European influences.

  • North and Central European
    Includes various Germanic and other groups from central Europe with diverse cultural influences.

  • Sardinian
    Indigenous population of Sardinia, known for unique genetic characteristics.

  • Scandinavia
    Populations from Sweden, Norway, and Denmark, with a Viking heritage and a strong cultural identity.

Oceania:

  • Oceania
    Indigenous and migrant populations from Australia, New Zealand, and Pacific islands, with rich and varied cultures.
الفصل الثالث

فهم تحليل التركيب الجيني

تعرّف على طريقة عمل الحاسبات وكيفية تفسير نتائجها

ما تحليل التركيب الجيني؟

يقارن تحليل التركيب الجيني حمضك النووي ببيانات مجموعات سكانية مرجعية من أنحاء العالم. ويقدّر مدى التشابه مع المكوّنات المرجعية التي يتألف منها النموذج.

تستخدم الحاسبة 27 من المجموعات السكانية المرجعية المختارة بعناية لاستكشاف أوجه التشابه الجيني.

كيف يعمل التحليل؟

  • يقارن التحليل حمضك النووي بعدد 27 من المجموعات السكانية المرجعية
  • يستخدم التحليل مجموعات سكانية مرجعية من الفترات المعروضة.
  • توضّح النتائج مدى التشابه الجيني مع هذه المجموعات
  • تؤثر ملاءمة المراجع وتنوّعها في جودة المقارنة

فهم النتائج

تعرض النتائج نسبًا مقدّرة ضمن نموذج المقارنة بالمجموعات المرجعية. ضع النقاط التالية في الاعتبار:

  • تعبّر النتائج عن التشابه الجيني ولا تثبت النسب المباشر
  • تعتمد المقارنة على المجموعات المرجعية المدرجة في الحاسبة.
  • تبيّن النسب الوزن النسبي لكل مكوّن في النموذج
  • النتائج تقديرات تستند إلى البيانات المرجعية المتاحة