Eurogenes K10
Eurogenes K10 — Modern European Admixture
A fast, user-friendly admixture calculator that breaks a DNA sample into ten regional components (S_Asian, N_E_Euro, NE_African, SW_W_Euro, Med_ME, N_Asian, E_Asian, Sub_Saharan, SE_Asian, W_Asian). Designed for people of European descent, genealogists, and researchers, it reveals broad European affinities, minor external influences, and comparative context to guide deeper ancestral investigations.
تفاصيل الحاسبة
معلومات عن حاسبة التركيب الجيني
نبذة عن الحاسبة
Eurogenes K10 — Modern European Admixture Calculator
Eurogenes K10 analyzes your genome against ten modern reference clusters to estimate the proportional ancestry typical across Europe and neighboring regions. Designed for people with European heritage, researchers, genetic genealogists, and curious explorers, this calculator decomposes a DNA sample into ten components: S_Asian, N_E_Euro, NE_African, SW_W_Euro, Med_ME, N_Asian, E_Asian, Sub_Saharan, SE_Asian, and W_Asian.
What it analyzes
- Relative ancestry proportions compared to modern regional clusters
- Signals of Eurasian, African, and Asian gene flow that shaped present-day European diversity
- Broad affinities (e.g., Mediterranean vs. Northern European, West Asian influence)
Who it's for
- Individuals tracing family roots in Europe or the European diaspora
- Genealogists validating documentary evidence with genetic signals
- Population geneticists and students exploring admixture patterns
Insights you can gain
- A clear percentage breakdown of affinities such as Southwest/West Europe vs. North-East Europe
- Detection of minor components (e.g., West Asian or North African traces) that suggest historical contact or recent ancestry
- Comparative context to help interpret PCA, haplogroup, and historical records
Historical and genetic context
Modern European genomes reflect millennia of movement: Paleolithic hunter-gatherers, Neolithic farmers from the Near East, Bronze Age Steppe expansions, and later contacts across the Mediterranean and Eurasia. Eurogenes K10 frames your DNA within these broad patterns by using contemporary regional clusters as proxies for those historical inputs.
Why it's valuable
- Fast, accessible breakdown that complements deeper analyses
- Highlights unexpected regional affinities for further investigation
- Useful for personal, genealogical, and educational purposes
Limitations
- Components are cluster-based proxies, not exact ancestral populations
- Results dep
المجموعات السكانية المرجعية
المجموعات السكانية التي تستخدمها الحاسبة كمراجع جينية
10 مجموعة سكانية مرجعية
S_Asian: South Asian; includes populations from the Indian subcontinent, characterized by a diverse range of cultures and languages.
N_E_Euro: North Eastern European; encompasses populations from the northeastern part of Europe with Slavic and Baltic heritage.
NE_African: Northeast African; includes populations from regions like Egypt and the Horn of Africa, known for ancient civilizations and diverse cultures.
SW_W_Euro: Southwestern and Western European; refers to populations from countries such as Spain, Portugal, and France, characterized by Romance languages and rich historic ties.
Med_ME: Mediterranean and Middle Eastern; features populations around the Mediterranean basin and the Middle East, known for historical trade and cultural exchange.
N_Asian: North Asian; includes populations from the vast region of Siberia, known for its indigenous peoples and harsh climate.
E_Asian: East Asian; encompasses populations from countries like China, Japan, and Korea, known for their ancient cultures and languages.
Sub_Saharan: Sub-Saharan African; includes diverse populations from regions south of the Sahara Desert, known for their linguistic and cultural diversity.
SE_Asian: Southeast Asian; refers to populations from countries like Thailand, Vietnam, and Indonesia, characterized by a mix of cultures, religions, and languages.
W_Asian: West Asian; includes populations from regions such as the Arabian Peninsula and the Levant, known for their historical significance in world history.
Grouped by Continent:
- Asia: S_Asian, N_Asian, E_Asian, SE_Asian, W_Asian
- Europe: N_E_Euro, SW_W_Euro
- Africa: NE_African, Sub_Saharan
- Middle East: Med_ME
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 10 من المجموعات السكانية المرجعية المختارة بعناية لاستكشاف أوجه التشابه الجيني.
كيف يعمل التحليل؟
- يقارن التحليل حمضك النووي بعدد 10 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