Global Ancestry K30 2023 with Jewish Populations
Global Ancestry K30 2023 — A modern K=30 admixture calculator that estimates your proportional ancestry against 26 curated reference populations. Ideal for individuals, genealogists, and researchers, it reveals fine-grained regional affinities (e.g., Anatolia-Caucasus, Sardinian, North British Isles) while balancing resolution and interpretability for robust, actionable ancestry insights.
تفاصيل الحاسبة
معلومات عن حاسبة التركيب الجيني
نبذة عن الحاسبة
Global Ancestry K30 2023 — Modern-era K=30 admixture calculator
This calculator analyzes an individual's genome against a curated panel of 26 reference populations to estimate proportional ancestry components using a K=30 model optimized for modern global diversity (2023). It decomposes genetic variation into discrete components that reflect recent and deep ancestral affinities across Africa, Eurasia, the Americas and Oceania.
What it analyzes
- Autosomal single-nucleotide variation across the genome to infer proportional ancestry for 30 components trained on diverse modern and regionally informative reference groups.
Who it's designed for
- Individuals seeking a nuanced global ancestry overview
- Genealogists and family historians exploring multi-regional admixture
- Researchers and students needing a clear, interpretable K30 admixture profile
Insights you can gain
- Relative contribution from major regional sources (e.g., West African, Anatolia-Caucasus, North and Central European)
- Distinguishing components that cluster with specific historical populations (e.g., Sardinian, Ashkenazi Jewish, Scandinavia)
- Detecting complex mixed ancestries, recent admixture signals, or subtle regional affinities not visible in coarse models
Historical and genetic context
- The K30 configuration captures both broad continental structure and finer subcontinental partitions that reflect major migrations, expansions, and long-term regional isolation (e.g., Iranian Plateau, North east Asia, Central Indian subcontinent).
- It is built on modern reference panels; interpretations should consider recent population movements and local demographic history.
Why this calculator is valuable
- Balances resolution and interpretability: more detailed than low-K models yet designed to avoid overfitting common in very high-K approaches.
- Useful for comparative analysis: run against other K models or reference sets to triangulate ancestry conclusions.
**Reference po
المجموعات السكانية المرجعية
المجموعات السكانية التي تستخدمها الحاسبة كمراجع جينية
30 مجموعة سكانية مرجعية
Africa:
- Africa East
Includes populations from countries such as Kenya, Tanzania, and Ethiopia, with diverse ethnic groups and languages. - Central African
Comprises populations from regions like the Democratic Republic of Congo and Cameroon, known for their rich cultural diversity. - North African
Encompasses populations from countries like Egypt, Algeria, and Morocco, with a history influenced by Arab and Berber cultures. - West African
Includes nations such as Nigeria and Ghana, characterized by a high ethnic diversity and linguistic variety.
Americas:
- Americas
Represents mixed indigenous, European, African, and Asian ancestries due to historical migration and colonization.
Asia:
- Anatolia Caucasus
Covers populations from modern Turkey and the Caucasus region, with deep historical ties to ancient civilizations. - Central Asia
Encompasses areas like Kazakhstan and Uzbekistan, known for their Turkic cultures and nomadic history. - Central Indian subcontinent
Represents populations from central regions of India, with a diverse range of languages and ethnicities. - East Asia
Includes countries such as China, Japan, and Korea, with long-standing historical and cultural traditions. - Iranian Plateau
Relates to populations from Iran and surrounding regions, with a rich Persian cultural heritage. - Near East
Encompasses populations from areas like Israel, Lebanon, and Syria, known for their historical significance. - North central Asia
Comprises regions including Mongolia and northern parts of Kazakhstan, known for their nomadic cultures. - North east Asia
Includes regions like northeastern China and parts of Siberia, known for ethnic and cultural diversity. - South east Asia
Represents countries such as Vietnam, Thailand, and Indonesia, with distinct cultural and linguistic diversity. - Southern Indian subcontinent
Covers populations from southern parts of India and Sri Lanka, known for Dravidian languages and cultural richness.
Europe:
- Ashkenazi Jewish
Relates to Jewish populations primarily from Central and Eastern Europe, with a unique cultural and historical identity. - Balkan
Covers countries such as Serbia, Bulgaria, and Greece, known for ethnic diversity and complex history. - East European
Includes populations from countries like Poland, Russia, and Ukraine, with rich Slavic heritage. - Finland
Represents the Finnish population, known for its unique Uralic language and cultural influence. - Iberian
Comprises populations from Spain and Portugal, with a history of Roman and Moorish influences. - North British Isles
Relates to populations from Scotland and Northern Ireland, with Celtic and Gaelic cultural roots. - North Italy
Covers populations from northern parts of Italy, known for their distinct dialects and historical regions. - North and central European
Encompasses populations from countries like Germany and the Netherlands, with shared Germanic roots. - Sardinian
Refers to populations from the island of Sardinia, with a unique genetic and cultural identity. - Scandinavia
Includes populations from Norway, Sweden, and Denmark, known for their Nordic history and culture.
Oceania:
- Oceania
Represents indigenous populations from Australia, New Zealand, and the Pacific Islands, with rich and diverse cultures.
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 30 من المجموعات السكانية المرجعية المختارة بعناية لاستكشاف أوجه التشابه الجيني.
كيف يعمل التحليل؟
- يقارن التحليل حمضك النووي بعدد 30 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