מחשבון הרכב גנטי

Global Ancestry K39

Global Ancestry K35 — A high-resolution modern admixture calculator that estimates proportional ancestry against 35 global reference populations. Ideal for users worldwide who want detailed regional breakdowns (Africa, Europe, Asia, Americas) and comparative affinity scores, while excluding Jewish-specific reference clusters. Sensitive, scientific, and designed for exploration, not medical diagnosis.

39 רכיבים
העולם אזור היעד
DNA Genics מחבר
מודרניות תקופה
גללו כדי לעיין בעמוד
פרק ראשון

פרטי המחשבון

מידע על מחשבון ההרכב הגנטי

D

DNA Genics

יוצר המחשבון

על המחשבון

Global Ancestry K35

This calculator is a high-resolution, modern-era admixture model designed to estimate the proportional ancestry of individuals against a broad, globally distributed set of reference populations — with Jewish-specific reference groups intentionally excluded. "K39" denotes a 39-component labeling strategy that provides fine-scale resolution across continents using contemporary population panels.

What it analyzes

  • Proportional ancestry across diverse regional components (Africa, Europe, Asia, the Americas).
  • Affinity and similarity to 35 curated reference populations such as West African, East African, Basque, Scandinavian, Han Chinese, Japanese, Native American subgroups, South Asian clusters, Middle Eastern groups, and more.
  • High-resolution signals that highlight recent and ancient admixture patterns visible in modern genomes.

Who this is for

  • Individuals worldwide seeking a detailed, population-level breakdown of their genetic ancestry.
  • Researchers and genealogists wanting a comparative tool that emphasizes broad global structure without Jewish reference clusters.
  • Users interested in regional affinities, not medical or identity determinations.

Insights you can gain

  • Percentage breakdowns of ancestral contributions from specific regions and populations.
  • Identification of mixed heritage signals and likely continental/regional sources.
  • A contextual view of how modern populations relate genetically across Eurasia, Africa, and the Americas.

Historical and genetic context

Human genetic variation reflects migration, isolation, and mixing over millennia. This model captures both deep population structure (e.g., hunter-gatherer and Eurasian lineages) and recent gene flow between neighboring regions (e.g., Mediterranean, South Asian, and African coastal exchanges).

Why this calculator is valuable

  • Provides clear, interpretable ancestry proportions with high geographic detail.
  • Useful for comparati
פרק שני

אוכלוסיות ייחוס

האוכלוסיות שהמחשבון משתמש בהן כייחוס גנטי

39 אוכלוסיות ייחוס

Africa:

  • West African (Sierra Leonean and Liberian): Populations from the region of Sierra Leone and Liberia.
  • East African (Kenyan and Ugandan): Populations from Kenya and Uganda.
  • Maghrebi: Populations from the North African region, including Morocco, Algeria, Tunisia, and Libya.
  • Pygmy and San hunter-gatherer: Indigenous groups including the Pygmies and the San, known for their hunter-gatherer lifestyles.
  • West African (Gambian and Senegalese): Populations from Gambia and Senegal.
  • West African (Nigerian and Ghanaian): Populations from Nigeria and Ghana.

America:

  • Native American (Central and South): Indigenous populations from Central and South America.
  • Native American (North): Indigenous populations from North America.

East Asian:

  • Dai Chinese and Indochinese: Ethnic groups from southern China and the Indochina region.
  • Eastern Siberian Native: Indigenous populations from the eastern part of Siberia.
  • Han Chinese: The major ethnic group in China.
  • Japanese: Ethnic group from Japan.
  • Mongolian and North Chinese: Populations from Mongolia and northern China.
  • Siberian Eskimo: Indigenous groups from Siberia with Eskimo heritage.

European:

  • Basque: Ethnic group native to the Basque Country in Spain and France.
  • British and Irish: Populations from the United Kingdom and Ireland.
  • Eastern European: Populations from Eastern Europe.
  • Finnish: Ethnic group from Finland.
  • French: Populations from France.
  • German: Populations from Germany.
  • Greece and Balkan Peninsula: Populations from Greece and surrounding Balkan regions.
  • Iberian: Ethnic groups from the Iberian Peninsula, including Spain and Portugal.
  • Italian: Populations from Italy.
  • Orcadian: Populations from the Orkney Islands in Scotland.
  • Sardinian: Populations from the island of Sardinia in Italy.
  • Scandinavian: Populations from the Scandinavian countries such as Sweden, Norway, and Denmark.

Middle East Asian:

  • Bedouin: Nomadic Arab groups traditionally inhabiting desert regions.
  • Egyptian, Levantine and Arabian: Populations from Egypt, the Levant region, and the Arabian Peninsula.
  • Turkish, Caucasian and Iranian: Populations from Turkey, the Caucasus, and Iran.

South Asian:

  • Bengali, Bangladeshi and Northeast Indian: Populations from Bangladesh and northeastern India.
  • Central Asian: Diverse ethnic groups from Central Asia.
  • Gujarati Indian: Ethnic groups from Gujarat, India.
  • Pakistani and Afghan: Populations from Pakistan and Afghanistan.
  • Punjabi: Ethnic group from the Punjab region of India and Pakistan.
  • Sri Lankan and Southern Indian: Populations from Sri Lanka and southern India.
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-39 אוכלוסיות ייחוס שנבחרו בקפידה כדי לבחון דמיון גנטי.

איך הניתוח עובד?

  • הניתוח משווה את ה-DNA ל-39 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