מחשבון הרכב גנטי

Global Ancestry K42

Modern World K42 is a curated global admixture calculator that compares your DNA to 42 reference populations. It provides modern-era ancestry proportions across Africa, Europe, Asia, Oceania and the Americas, revealing migration signals (Bantu, Indo-European, Austronesian, Silk Road, colonial-era admixture) and offering fine-grained regional insights for genealogists, adoptees and researchers. Probabilistic—interpret alongside other evidence.

42 רכיבים
העולם אזור היעד
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מודרניות תקופה
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פרק ראשון

פרטי המחשבון

מידע על מחשבון ההרכב הגנטי

M

Marques

יוצר המחשבון

על המחשבון

Modern World K42 is a curated admixture calculator that estimates the modern ancestral composition of a DNA sample by comparing it to 42 carefully chosen reference populations from around the globe. Designed for genealogists, adoptees, ancestry enthusiasts, students and population researchers, this tool transforms genotype data into clear proportional affinities across major regions — Africa, Europe, the Middle East, South and Central Asia, East and Southeast Asia, Oceania and the Americas — with fine-grained subregional resolution.

What it analyzes: Modern World K42 quantifies how much your DNA resembles each reference population (for example: Northern Africa, Balochistan, Anatolia and the Caucasus, Southeast Asia Austronesian, Melanesia, Native American Andean, and many European subgroups). The calculator highlights mixture signals that reflect recent and ancient migrations, such as Bantu expansions, North African and Near Eastern exchanges, Neolithic farmer and Indo-European impacts in Europe, Silk Road and Central Asian gene flow, Austronesian dispersals across Island Southeast Asia and the Pacific, and colonial-era admixture in the Americas.

What you can learn: proportional ancestry estimates, primary regional affinities, and subtle secondary signals that suggest historical contacts or recent admixture. Results are useful for constructing hypotheses about family origins, guiding further genealogical research, or informing more detailed population studies.

Why it’s valuable: The 42 reference populations are curated to balance geographic breadth and resolution, focusing on modern-era signatures that are relevant to contemporary genealogical questions. The interface emphasizes transparent, interpretable outputs and encourages responsible use: admixture estimates are probabilistic, depend on reference composition, and do not identify individuals’ specific ancestors. For best interpretation, combine admixture results with documentary genealogy, uniparental marker

פרק שני

אוכלוסיות ייחוס

האוכלוסיות שהמחשבון משתמש בהן כייחוס גנטי

42 אוכלוסיות ייחוס

Africa:

  • Northern Africa
    Populations from the Mediterranean coast, including Berbers and Arabs.
  • Cameroon Congo and Southern Bantu Peoples
    Ethnic groups primarily across central to southern Africa.
  • East Africa
    Diverse ethnic groups including Swahili and Maasai cultures.
  • Senegal
    Primarily Wolof, Serer, and other West African ethnic groups.
  • Africa South Central Hunters Gatherers
    Indigenous peoples like the Khoisan.
  • Nigeria
    Main groups include Hausa, Yoruba, and Igbo.
  • Ivory Coast and Ghana
    Akan and Mande-speaking populations.
  • Benin and Togo
    Mix of Fon, Ewe, and other ethnicities.
  • Mali
    Predominantly Mande, particularly the Bambara.

Asia:

  • Central and Northern Asia
    Includes nomadic groups and Turkic peoples.
  • Iran and Persia
    Ethnic Persians and related groups.
  • Balochistan
    Primarily Baloch ethnic community.
  • Southern Asia
    Comprising Indian subcontinent ethnicities.
  • Burusho
    Isolated ethnic group in Northern Pakistan.
  • Southeast Asia Dai
    Ethnic Dai people, mainly in China and Laos.
  • Anatolia and The Caucasus
    Includes Turkish and Caucasian ethnicities.
  • Western and Central India
    Diverse Indian ethnic groups.
  • China
    Dominantly Han Chinese.
  • Korea and Northern China
    Ethnic Koreans and Northern Han.
  • Japan
    Predominantly Yamato Japanese.
  • Middle East
    Arab, Persian, and Levantine communities.
  • Southeast Asia Vietnam
    Predominantly Kinh ethnicity.
  • Southeast Asia Austronesian
    Island nations’ ethnic groups, like Filipinos.

Oceania:

  • Melanesia
    Indigenous peoples of New Guinea and surrounding islands.
  • Polynesia
    Includes Māori, Samoans, and other Pacific islanders.

Europe:

  • Greece and The Balkans
    Ethnic Greeks and Balkan Slavs.
  • Finland
    Predominantly Finnish.
  • France
    Primarily French and Breton.
  • Basque
    Indigenous people in Spain and France.
  • Germanic Europe
    Germanic-speaking populations.
  • England Wales North West Europe
    Primarily Anglo-Saxon and Celtic.
  • Italy
    Diverse Italian ethnicities.
  • Baltic States
    Latvians, Lithuanians, and Estonians.
  • Ireland and Scotland
    Celtic populations mainly.
  • Eastern Europe and Russia
    Slavic and related groups.
  • Sardinian
    Indigenous Sardinians.
  • Spain
    Predominantly Spanish; includes Catalans.
  • Portugal
    Primarily Portuguese.
  • Sweden
    Dominantly Swedish.
  • Norway
    Mainly Norwegian.

Americas:

  • Native American North Central and South
    Indigenous tribes across the Americas.
  • Native American Andean
    Primarily Quechua and Aymara peoples.
פרק שלישי

הבנת ניתוח ההרכב הגנטי

כך פועלים המחשבונים, וכך קוראים את התוצאות

מהו ניתוח הרכב גנטי?

ניתוח הרכב גנטי משווה את ה-DNA לנתונים של אוכלוסיות ייחוס מרחבי העולם. הוא מעריך את מידת הדמיון לרכיבי הייחוס שמהם המודל בנוי.

המחשבון משתמש ב-42 אוכלוסיות ייחוס שנבחרו בקפידה כדי לבחון דמיון גנטי.

איך הניתוח עובד?

  • הניתוח משווה את ה-DNA ל-42 אוכלוסיות ייחוס
  • הניתוח משתמש באוכלוסיות ייחוס מהתקופות המוצגות.
  • התוצאות מראות את מידת הדמיון הגנטי לקבוצות אלה
  • ההתאמה של הייחוס והמגוון שלו משפיעים על איכות ההשוואה

הבנת התוצאות

התוצאות מציגות שיעורים מוערכים בתוך מודל ההשוואה לאוכלוסיות הייחוס. כדאי לזכור את הנקודות האלה:

  • התוצאות מבטאות דמיון גנטי ואינן מוכיחות מוצא ישיר
  • ההשוואה נשענת על אוכלוסיות הייחוס שכלולות במחשבון.
  • השיעורים מראים את המשקל היחסי של כל רכיב במודל
  • התוצאות הן אומדנים המבוססים על נתוני הייחוס הזמינים