Marques Modern World K27
Marques Modern World K27 is a high-resolution admixture calculator that models modern DNA against 26 curated reference populations across Africa, Eurasia, Oceania and the Americas. It provides a 27-component-style breakdown to reveal fine regional affinities (e.g., Baltic vs. Scandinavia, Volga & Oural, South_Asia, Melanesia), helping genealogists and researchers explore recent admixture and deeper population structure. Results are statistical estimates and best used with historical and gene
تفاصيل الحاسبة
معلومات عن حاسبة التركيب الجيني
نبذة عن الحاسبة
Marques Modern World K27 — a high-resolution admixture calculator that parses modern DNA into regional ancestry components using a curated global reference panel.
What this analyzes
- Estimates proportional ancestry by comparing your genotype to a broad set of modern reference populations spanning Africa, Eurasia, Oceania and the Americas.
- Produces a multi-component (K27) breakdown that highlights fine-scale regional affinities such as Baltic vs. Scandinavian, Volga & Oural vs. East Europe, and distinctions across North/South/East Asia.
Who it’s designed for
- Genealogists, hobbyist geneticists, and researchers with modern, worldwide ancestry who want a detailed, regionally specific portrait of genetic origins.
- Users seeking more refined distinctions within Europe, Asia, Africa, Oceania and the Americas than broad continental models provide.
Insights you can gain
- Proportional contributions from regional clusters (e.g., North_Africa, South_Asia, Melanesia, South_Amerindian).
- Signals of recent admixture (colonial-era, migration-driven) vs. deeper population structure tied to prehistoric movements.
- Contextual affinities to reference groups to help guide genealogical hypotheses and historic interpretation.
Historical and genetic context
- The model is informed by major demographic events visible in modern genomes: African population structure and Bantu expansions, Eurasian farmer and steppe ancestries, the Austronesian and Southeast Asian dispersals, peopling of the Americas, and Oceanian signatures in Aboriginal Australian and Melanesian genomes.
- K27 does not assign ethnicity or nationality; it maps genetic similarity to contemporary regional samples that reflect layered historical processes.
Why this calculator is valuable
- Offers fine-grained, interpretable components across 26 curated modern reference populations, making it easier to distinguish neighboring regional ancestries.
- Useful as a comparative tool alongside genealogical records
المجموعات السكانية المرجعية
المجموعات السكانية التي تستخدمها الحاسبة كمراجع جينية
27 مجموعة سكانية مرجعية
Africa
- East_Africa: Populations native to regions such as Ethiopia, Somalia, and Kenya, characterized by a mix of Sub-Saharan and North African ancestries.
- North_Africa: Populations from countries like Morocco, Algeria, and Egypt, influenced by Berber, Arab, and Sub-Saharan ancestries.
- North_East_Africa: Includes populations from areas like Sudan, showing influences from the Middle East and Sub-Saharan Africa.
- South_Africa: Diverse populations including Bantu ethnic groups and influences from colonial Dutch and British.
- West_Africa: Includes ethnic groups from Nigeria, Ghana, etc., primarily characterized by Niger-Congo languages and cultures.
Asia
- Central_Asia: Populations from countries like Kazakhstan and Uzbekistan, influenced by Turkic, Persian, and Russian ancestries.
- East_Asia: Populations from China, Japan, and Korea, characterized by Han Chinese and other ethnic minorities.
- North_East_Asia: Includes populations from regions like Mongolia and parts of Siberia, influenced by indigenous Siberian and East Asian ancestries.
- South_Asia: Populations from India, Pakistan, etc., characterized by diverse Indo-Aryan and Dravidian ancestries.
- South_East_Asia: Populations in regions like Thailand, Vietnam, and Indonesia, with Austroasiatic, Tai, and Austronesian influences.
- West_Asia: Populations from countries like Turkey, Iran, and Iraq, characterized by Persian, Arab, and Turkic ancestries.
- Volga_&_Oural: Populations around the Volga River and Ural Mountains, influenced by Russian, Finno-Ugric, and Turkic ancestries.
Europe
- Baltic: Includes populations from countries like Lithuania, Latvia, and Estonia, characterized by Finno-Ugric influences.
- British_Islanders: Populations from the UK and Ireland, predominantly Celtic, Anglo-Saxon, and Norman ancestries.
- East_Europe: Includes populations from Poland, Ukraine, and Belarus, with Slavic and some influences from neighboring regions.
- Finnish: Populations with Finno-Ugric ancestry, primarily from Finland.
- Greece_&_Balkans: Includes populations from Greece and Balkan countries, with ancient Greek and Slavic influences.
- Italy: Populations characterized by diverse ancestries due to historical influences from Romans, Greeks, and others.
- Sardinia: Unique Mediterranean population distinct from mainland Italy, influenced by ancient Mediterranean civilizations.
- Scandinavia: Includes populations from Norway, Sweden, and Denmark, characterized by Germanic ancestries.
- South_West_Europe: Includes Spain and Portugal, characterized by Iberian, Celtic, and Moorish influences.
- West_Europe: Includes populations from France, Belgium, and surrounding areas, influenced by Celtic, Roman, and Germanic lineages.
Oceania
- Australian_Aboriginal: Indigenous populations of Australia, characterized by unique genetic and cultural heritage.
- Melanesia: Populations from islands like Papua New Guinea, characterized by distinct Papuan and Austronesian ancestries.
Americas
- North_&_Central_Amerindian: Indigenous populations of North and Central America, with diverse pre-Columbian ancestries.
- South_Amerindian: Indigenous populations of South America, with influences from pre-Columbian civilizations like the Inca.
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