LM Genetics K16
LM Genetics K16 — 16-component global admixture calculator
A modern-era autosomal tool that breaks your genome into 16 regional components (e.g., NW-Euro, West-Asian, East-Asian, West-African, Papuan). Ideal for genealogists, adoptees, and researchers, it provides percent-based ancestry affinities, highlights multi-way admixture, and offers a clear starting point for historical and genetic interpretation. Use with other data for best results.
Detalhes da Calculadora
Informação detalhada sobre esta calculadora de mistura genética
Sobre esta calculadora
LM Genetics K16 — Modern-era global admixture calculator
LM Genetics K16 is a 16-component autosomal admixture calculator designed to characterize recent ancestry across a worldwide reference set. Using curated modern reference populations, it estimates proportional genetic contributions from 16 modeled sources:
- Caucasian
- South-Euro
- North-Eurasian
- SE-Asian
- Central-African
- West-Asian
- Horner
- Indian
- Amerindian
- Eastern-Euro
- African_HG
- East-Asian
- NW-Euro
- West-African
- North-African
- Papuan
What this calculator analyzes
- Genome-wide autosomal markers are compared to reference clusters to produce percent-level estimates for each of the 16 components. Results represent affinities to contemporary/regional gene pools rather than discrete, immutable "labels."
Who this is for
- Genetic genealogy enthusiasts, adoptees and family historians seeking deeper regional clues; population geneticists and anthropologists exploring modern admixture patterns; anyone curious about multi-regional ancestry in a global context.
Insights you can gain
- Quantitative breakdown of likely regional ancestry and multi-way admixture
- Signals of recent migration and contact (e.g., mixed European/West-Asian profiles)
- Relative proximity to continental and subcontinental sources (e.g., NW-Euro vs South-Euro)
- A starting framework for integrating haplogroup, IBD, and historical records
Context and value
Modern human genetic variation reflects millennia of migration, isolation and admixture. K16 translates complex allele-sharing patterns into accessible proportions, balancing resolution and interpretability. It is valuable as a comparative, hypothesis-generating tool: use it to map broad patterns, form questions about specific ancestral episodes, and guide deeper, targeted analyses.
Limitations
- Component names are heuristics tied to reference sampling; small percentages can be noise. Interpret results alongside geography, genealogy and other genetic tests
Populações de referência
As populações utilizadas como referências genéticas nesta calculadora
16 Poblaciones de referencia
Caucasian: Populations primarily from the Caucasus region, characterized by a diverse mixture of ethnic groups and languages.
South-Euro: Populations from Southern Europe, typically including Mediterranean countries like Italy, Spain, and Greece, known for historical Roman and Hellenic influences.
North-Eurasian: Populations from the northern areas of Eurasia, often encompassing both European and Asian sectors, exhibiting diverse genetic backgrounds.
SE-Asian: Populations from Southeast Asia, including countries like Vietnam, Thailand, and Malaysia, with rich cultural diversity and historical trade networks.
Central-African: Populations in the central region of Africa, often representing a variety of ethnic groups with deep indigenous roots.
West-Asian: Populations from the Western Asia region, characterized by Middle Eastern ethnic groups and significant historical empires, like the Persian and Ottoman.
Horner: Populations from the Horn of Africa, mainly Somali, Eritrean, and Ethiopian groups with unique Afro-Asiatic linguistic ties.
Indian: Populations from the Indian subcontinent, known for its vast population diversity and ancient civilizations like the Indus Valley.
Amerindian: Indigenous populations of the Americas, encompassing a wide range of ethnic groups from North, Central, and South America.
Eastern-Euro: Populations from Eastern Europe, including Slavic, Baltic, and other ethnic groups with strong cultural and historical connections.
African_HG: African hunter-gatherer populations, representing some of the most ancient genetic lineages on the continent.
East-Asian: Populations from East Asia, including China, Japan, and Korea, known for distinct cultural and historical backgrounds.
NW-Euro: Populations from Northwest Europe, often including countries like the UK, Ireland, and Scandinavia, with a history of maritime exploration and trade.
West-African: Populations from the western region of Africa, typically represented by large ethnic groups such as the Yoruba, Hausa, and Akan.
North-African: Populations from Northern Africa, often influenced by both African and Mediterranean ancestries, with historical Berber and Arab influences.
Papuan: Indigenous populations of Papua New Guinea, with unique cultural and genetic attributes distinct from neighboring regions.
Como interpretar a análise de mistura genética
Descubra como funcionam as calculadoras de mistura genética e como interpretar os resultados
O que é a análise de mistura genética?
A análise de mistura genética estima a semelhança genética comparando o seu DNA com populações de referência de diferentes partes do mundo. Os componentes do modelo representam essas referências e dependem dos dados e pressupostos utilizados.
Esta calculadora utiliza 16 cuidadosamente seleccionadas modern populações como referências para descrever detalhadamente a semelhança genética.
Como funciona
- Tu DNA se compara con 16 poblaciones de referencia
- Modern se utilizan como referencias genéticas
- Os resultados mostram a sua semelhança genética com estas populações
- A diversidade do painel de referência influencia as estimativas
Como interpretar seus resultados
Os resultados mostram percentagens de similaridade genética com estas populações de referência. Tenha presente estes pontos:
- Os resultados reflectem a semelhança genética, não ascendência directa demonstrada
- Modern se utilizan como referencias
- As percentagens indicam contribuições relativas no modelo
- Os resultados são estimativas baseadas nos dados de referência disponíveis