Dodecad Eurasia 7
Dodecad Eurasia 7 provides a clear seven-way decomposition of autosomal ancestry for modern-era samples. Comparing your genotype to seven reference populations (Sub_Saharan, West_Asian, Atlantic_Baltic, East_Asian, Southern, South_Asian, Siberian), it returns percentage estimates of major Eurasian and adjacent ancestries—ideal for genetic genealogists, researchers, and curious users seeking a high-level, interpretable admixture snapshot.
تفاصيل الحاسبة
معلومات عن حاسبة التركيب الجيني
نبذة عن الحاسبة
Dodecad Eurasia 7 — Modern-era admixture calculator
This calculator estimates an individual's autosomal ancestry proportions using a seven-component model designed to capture broad continental and regional variation across Eurasia and surrounding regions. It compares a tested genotype to seven reference populations: Sub_Saharan, West_Asian, Atlantic_Baltic, East_Asian, Southern, South_Asian, and Siberian, returning interpretable percentage contributions that reflect recent and deep shared ancestry.
Who it's for
- Genetic genealogists seeking clearer regional breakdowns beyond continental labels
- Population geneticists and students exploring contemporary Eurasian admixture patterns
- Curious users worldwide who want a high-level snapshot of ancestral components
What you gain
- A concise, seven-way decomposition of autosomal ancestry expressed as percentages
- A sense of major genetic influences (e.g., West Asian vs. Atlantic-Baltic) relevant to Eurasian histories
- Comparative context for interpreting heritage in light of migration, admixture, and population structure
Historical and genetic context
This model is rooted in modern population-genetics practice: reducing complex variation into major axes that reflect historical migrations and long-term isolation. Components like Atlantic_Baltic and West_Asian capture northwest and southwest Eurasian affinities respectively, while East_Asian, South_Asian, and Siberian reflect distinct eastern and central Asian ancestries. Sub_Saharan and Southern provide crucial contrast for African and Near/Mediterranean signals. The result is not a postcode of ancestry but a statistical portrait of genetic affinities shaped by millennia of movement.
Why use it
- Fast, intuitive overview of where genetic signal clusters across Eurasia
- Useful starting point for deeper analysis with finer-scale tools or historical records
- Designed for global samples; robust to a wide range of background
المجموعات السكانية المرجعية
المجموعات السكانية التي تستخدمها الحاسبة كمراجع جينية
7 مجموعة سكانية مرجعية
Sub_Saharan
- Populations: Ethnic groups primarily located in Africa south of the Sahara Desert, including Bantu-speaking peoples, Nilotic, and other indigenous groups.
West_Asian
- Populations: Diverse groups in Western Asia, including Arabs, Persians, Turks, and other ethnicities in regions like the Middle East and parts of the Caucasus.
Atlantic_Baltic
- Populations: Groups in northern Europe, including those from the Atlantic coastal regions and the Baltic states, such as Scandinavians, Finnic peoples, and other Eastern European ethnic groups.
East_Asian
- Populations: Ethnic groups in East Asia, including Chinese, Japanese, Koreans, and Mongolic peoples.
Southern
- Populations: Refers to populations in Southern Europe, including Mediterranean countries like Italy, Greece, and the Iberian Peninsula, often overlapping with parts of the Balkans.
South_Asian
- Populations: Ethnic groups in the Indian subcontinent, including Indo-Aryans, Dravidians, and other ethnic minorities of India, Pakistan, Bangladesh, and Sri Lanka.
Siberian
- Populations: Indigenous peoples of Siberia, such as the Nenets, Evenki, and other smaller groups with a presence in vast, sparsely populated areas of Russia.
Grouped by Continent:
Africa
- Sub_Saharan
Asia
- West_Asian
- East_Asian
- South_Asian
- Siberian
Europe
- Atlantic_Baltic
- Southern
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 7 من المجموعات السكانية المرجعية المختارة بعناية لاستكشاف أوجه التشابه الجيني.
كيف يعمل التحليل؟
- يقارن التحليل حمضك النووي بعدد 7 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