MDLP K17
MDLP K17 (Ancient) breaks your genome into 17 deep‑time ancestral components using ancient and archaic reference proxies. Ideal for researchers, genealogists and history enthusiasts, it highlights hunter‑gatherer, farmer, steppe, Siberian, Amerindian, Austronesian and basal signals to illuminate prehistoric migrations and admixture shaping global populations.
تفاصيل الحاسبة
معلومات عن حاسبة التركيب الجيني
نبذة عن الحاسبة
MDLP K17 (Ancient) is an admixture calculator that decomposes a genome into deep-time ancestral components using 17 ancient and archaic reference populations. It measures the proportional contribution of broad prehistoric groups—such as Ancient North Eurasians (ANE), Early European Farmers (EEF), Western European Hunter-Gatherers (WHG), various Siberian and circumpolar lineages, basal Near‑East and Caucasian signals, as well as transcontinental inputs like Amerindian, Melano‑Austronesian and South/South‑East Asian components. The set also includes specialized proxies for Uralic, Sami‑Finnic, South and North Indian ancestries, archaic African and sub‑Saharan components, and other basal Eurasian-like signals.
Designed for researchers, genetic genealogy enthusiasts, students of human prehistory and anyone curious about ancient population structure worldwide, MDLP K17 offers an accessible window into migrations and admixture events that shaped modern populations. Users gain quantitative insights into deep ancestral affinities, helping to distinguish farmer vs. hunter‑gatherer legacies, steppe‑related vs. Siberian contributions, and signals associated with early transoceanic expansions.
Placed in historical context, the calculator highlights major prehistoric processes—Out‑of‑Africa dispersals, the Neolithic transition from Anatolia into Europe, the spread of ANE‑related ancestry across northern Eurasia, peopling of the Americas, Austronesian expansions, and Uralic/Circumpolar influences—using modern proxies derived from ancient and contemporary datasets.
MDLP K17 is valuable because it complements modern-focused analyses: by emphasizing ancient reference clusters it helps interpret deep ancestry, detect unexpected archaic or basal components, and provide a narrative scaffold for archaeological and linguistic hypotheses. Users should remember that reference populations are simplified proxies; results are best interpreted as broad signals of shared ancestry rather than
المجموعات السكانية المرجعية
المجموعات السكانية التي تستخدمها الحاسبة كمراجع جينية
17 مجموعة سكانية مرجعية
African_Sub-Saharan
- Populations: Bantu, Pygmy, Khoisan.
- Continent: Africa
Amerindian
- Populations: Indigenous groups of North, Central, and South America.
Ancestral_East_European_ANE (Ancient North Eurasian)
- Populations: Ancient Siberian and Eastern European.
- Continent: Eurasia
Ancestral_East_Siberian
- Populations: Ancestors of indigenous Siberians and some Native Americans.
- Continent: Asia
Ancestral_Mediterranean_EEF (Early European Farmers)
- Populations: Early European agricultural communities.
- Continent: Europe
Ancestral_North_Indian
- Populations: Linked to Indo-Aryan and earlier populations of northern India.
- Continent: Asia
Ancestral_Sami-Finnic
- Populations: Sámi and Finnic-speaking peoples.
- Continent: Europe
Ancestral_South_Indian
- Populations: Dravidian-speaking groups in southern India.
- Continent: Asia
Ancestral_West_Siberian
- Populations: Influenced genetic makeup of modern Siberians and Central Asians.
- Continent: Asia
Archaic_African
- Populations: Deeply diverged ancient African lineages.
- Continent: Africa
Caucasian-Basal
- Populations: Early human branch near the Caucasus Mountains.
- Continent: Eurasia
Circumpolar
- Populations: Inuit, Sámi, and other Arctic indigenous groups.
Melano-Austronesian
- Populations: Austronesian-speaking world, including Southeast Asia, Oceania, and Melanesia.
- Continent: Oceania
Near-East-Basal
- Populations: Contributed to Middle Eastern, North African, and parts of European genetics.
- Continent: Eurasia
South_East_Asian
- Populations: Contributed to genetic makeup in Thailand, Vietnam, Indonesia.
- Continent: Asia
Uralic
- Populations: Finns, Estonians, Hungarians.
- Continent: Europe
West_European_HG (Western European Hunter-Gatherers)
- Populations: Pre-agricultural hunter-gatherers of Western Europe.
- Continent: Europe
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 17 من المجموعات السكانية المرجعية المختارة بعناية لاستكشاف أوجه التشابه الجيني.
كيف يعمل التحليل؟
- يقارن التحليل حمضك النووي بعدد 17 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