حاسبة التركيب الجيني

Michał K25

Michał K25 — K=25 global admixture calculator

A fine-grained autosomal ancestry tool comparing your DNA to 26 worldwide reference populations. Ideal for global users, genealogists, and researchers, it reveals proportional ancestry from diverse clusters (African, Eurasian, Oceanian, Indigenous American, Arctic) to illuminate historical migrations and regional contributions. Results are probabilistic estimates for exploration and research.

25 المكوّنات
العالم المنطقة المستهدفة
Michal3141 المؤلف
حديثة الفترة
مرّر لاستكشاف الصفحة
الفصل الأول

تفاصيل الحاسبة

معلومات عن حاسبة التركيب الجيني

M

Michal3141

منشئ الحاسبة

نبذة عن الحاسبة

Michał K25 — Modern-era K=25 Global Admixture Calculator

This calculator estimates an individual's genetic ancestry proportions by comparing their genome to a curated panel of 26 worldwide reference populations. Designed for researchers, genetic genealogy enthusiasts, and curious individuals, Michał K25 highlights regional and deep-population contributions in a modern context.

What it analyzes

  • Genome-wide autosomal variation against 26 reference clusters (from Central- and West-African groups through Eurasian, Oceanian, Indigenous American, and Arctic populations).
  • Proportional admixture components that summarize shared ancestry from geographically and historically informed reference samples.

Who it's for

  • Global users seeking a nuanced, multi-regional view of ancestry.
  • Genealogists and population geneticists who want a complementary K=25 resolution to standard continental calculators.

Insights you can gain

  • Quantified ancestry percentages across fine-grained populations (e.g., Khomani‑San, Kalash, Papuan, Nasioic, Berberic).
  • Signals of historical migrations and admixture: African diasporas, Eurasian steppe and Near Eastern inputs, Austronesian and Papuan contributions, and pre-Columbian Native American components.
  • A basis for interpreting recent versus deep ancestral signals when used alongside temporal or geographical metadata.

Historical and genetic context

Michał K25 places individual genomes into a framework shaped by Out‑of‑Africa dispersals, Holocene farmer and pastoralist expansions, Austronesian and Siberian movements, and the isolation and diversification of Indigenous American and Oceanian groups. Each reference component represents a genetic cluster that reflects long-term population histories rather than modern nationality.

Why this calculator is valuable

  • Fine-grained resolution: 26 references reveal subtler signals missed by broad continental models.
  • Global scope: optimized for worldwide users with representatives from Af
الفصل الثاني

المجموعات السكانية المرجعية

المجموعات السكانية التي تستخدمها الحاسبة كمراجع جينية

25 مجموعة سكانية مرجعية

African

  • Central-African: Indigenous to the central region of Africa, encompassing various ethnic groups with rich cultural diversity.
  • East-African: Populations from the eastern part of Africa, known for their ethnic and linguistic diversity.
  • West-African: Home to a wide array of ethnic groups, known for their historical empires and cultural heritage.
  • Khomani-San: Indigenous to southern Africa, San people are known for their unique click languages.

Asian

  • Altaic: Encompassing groups speaking Altaic languages, historically in regions of Central Asia.
  • Northeast-Asian: Populations inhabiting the northeastern part of Asia, including ethnic groups like the Koreans and Mongolians.
  • East-Asian: Encompasses a variety of ethnic groups primarily in China, Japan, and Korea.
  • Siberian: Indigenous peoples of Siberia, known for their diverse ethnicities and cultures in the harsh Siberian climate.
  • Northeast-European: Can include populations from northeastern parts close to Asia such as the Uralic peoples.
  • Nasioic: Referring to ethnic groups in Asia, possibly related to or within the Uralic family.
  • Kamchatkan: Indigenous peoples of the Kamchatka Peninsula in Russia, known for their unique cultural traditions.
  • Taiwanese-Aboriginal: Indigenous Austronesian people native to Taiwan.
  • Papuan: Indigenous peoples of Papua New Guinea and nearby islands, characterized by a large number of distinct languages.

European

  • Uralic: Refers to people speaking Uralic languages, mainly found in regions of Northern Europe and parts of Russia.
  • Northeast-European: Includes peoples from the northeastern regions of Europe.
  • Caucasian: Groups from the Caucasus region, a melting pot of languages and cultures.
  • Mediterranean: Encompasses groups around the Mediterranean Sea, known for their historically interconnected cultures.

Middle Eastern and Northern African

  • Druzian: Ethnoreligious group primarily found in Lebanon, Syria, and Israel with a distinct monotheistic faith.
  • Arabic: Refers to the Arabic-speaking populations primarily in the Middle East and North Africa.
  • Berberic: Indigenous peoples of North Africa, known for their Berber languages and traditions.

American

  • South-Amerindian: Indigenous peoples from South America with rich ancestral heritages and cultures.
  • North-Amerindian: Indigenous peoples from North America, diverse in cultures and languages.
  • Amazonian: Refers to the indigenous groups native to the Amazon rainforest.

Indian Subcontinent

  • North-Indian: Populations from Northern India, diverse in languages and religions.
  • Kalash: An indigenous people living in the Chitral District of Pakistan with a distinct culture and religion.

Other

  • Eskimoic: Indigenous peoples traditionally inhabiting the Arctic regions of Greenland, Canada, and Alaska.
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 25 من المجموعات السكانية المرجعية المختارة بعناية لاستكشاف أوجه التشابه الجيني.

كيف يعمل التحليل؟

  • يقارن التحليل حمضك النووي بعدد 25 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