Michał Baltic Baikal Japanese K29
Michał Baltic Baikal Japanese K29 provides a modern, high-resolution autosomal admixture profile using 28 Eurasian reference groups. Ideal for global users interested in Baltic, Slavic, Caucasus, Central Asian, Siberian and East Asian ancestry, it reveals fine-scale proportions and historical signals—useful for genealogists, researchers and anyone exploring northern Eurasian genetic heritage.
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Michał Baltic Baikal Japanese K29 — Modern Admixture Calculator
This calculator analyzes autosomal DNA to estimate ancestry proportions across a finely tuned panel of Eurasian and neighboring populations. Built on a K29 framework with 28 carefully chosen reference groups, it resolves contributions from Baltic and Slavic Europe, Caucasus and Pontic regions, Central Asian and Turkic groups, Siberian/Baikal peoples, and East Asian populations (including Chinese and Japanese).
Who it’s for:
- Individuals worldwide wanting a detailed portrait of northern Eurasian and East Asian ancestry
- Genealogists and family historians tracing regional origins
- Population geneticists and hobbyists seeking finer resolution within Slavic, Uralic, Turkic and Siberian clines
What insights you gain:
- Percentage breakdown of ancestry from each reference group (e.g., Baltic, Russian_NSK, Tatar, Buryat, Japanese)
- Detection of mixed signatures typical of historical movements (Uralic expansions, Turkic migrations, Mongolic/Siberian interactions, East Asian gene flow)
- A clearer distinction between geographically close but genetically distinct sources (e.g., Adygei vs Abkhaz; Kazakh vs Uzbek)
Historical and genetic context:
- Northern Eurasia is a complex mosaic shaped by hunter-gatherer, Bronze Age, steppe pastoralist, Turkic, Mongolic and East Asian migrations. This calculator places modern genomes into that historical tapestry, showing how recent and ancient events combine to form present-day ancestry.
Why it’s valuable:
- Targets regions and populations that are underrepresented in broad commercial tests, giving sharper regional resolution across the Baltic-to-Baikal-to-Japanese transect.
- Useful as a complementary tool alongside other analyses (haplogroups, segment dating) to build a fuller narrative of personal or population history.
Limitations:
- Results reflect modern reference groups and statistical models — they are approximations, not precise timelines. Interpret wit
Poblaciones de referencia
Las poblaciones utilizadas como referencias genéticas en esta calculadora
29 Poblaciones de referencia
Europe
- Karel: Ethnic group historically residing in the Karelia region, straddling the border between Finland and Russia.
- Moldovan: Primarily inhabiting Moldova, this group shares cultural and historical ties with Romanians.
- Belarus: Slavic ethnic group native to Belarus, with cultural influences from Eastern European neighbors.
- Ukrainian: Eastern European ethnic group with a rich history and culture, primarily found in Ukraine.
- Russian_NSK: Represents a subset of the Russian population in Novosibirsk, reflecting local demography.
- Russian_STV: Refers to the Russian population from Stavropol, showing regional diversity.
Caucasus
- Chechen: Indigenous ethnic group from the North Caucasus, primarily residing in Chechnya.
- Adygei: North Caucasian people, native to the Republic of Adygea in Russia.
- Kabardin: Part of the Circassian peoples, found in the Kabardino-Balkaria region.
- Cherkes: Circassian ethnic group, native to the historical Circassia region.
- Karachay: Turkic-speaking people residing in Karachay-Cherkessia.
- Abkhaz: Indigenous group from Abkhazia with distinct cultural identity.
Central Asia
- Uzbek: Majority ethnic group in Uzbekistan with rich cultural heritage.
- Kazakh: Predominantly found in Kazakhstan, known for nomadic traditions.
- Kirgiz: Mainly inhabiting Kyrgyzstan, retaining significant nomadic culture influences.
Siberia and Far East
- Tatar: Turkic ethnic group primarily found in Tatarstan and various parts of Russia.
- Bashkir: Indigenous Turkic people residing mainly in Bashkortostan, Russia.
- Mordva: Finno-Ugric people native to the Volga region in Russia, consisting of Moksha and Erzya subgroups.
- Chuvash: Turkic ethnic group primarily found in the Chuvash Republic, Russia.
- Komi: Finno-Ugric people from the Komi Republic in Russia.
- Udmurt: Finno-Ugric ethnic group in the Udmurt Republic.
- Ket: Indigenous group in Siberia, known for their unique language isolate.
- Khanty: Indigenous people of Khanty-Mansi Autonomous Okrug in Russia.
- Tuva: Indigenous people from the Tuva Republic, known for unique throat-singing tradition.
- Buryat: Indigenous group in Siberia, mainly residing around Lake Baikal.
East Asia
- Yakut: Turkic ethnic group native to the Sakha Republic (Yakutia) in Russia.
- Chinese: Major East Asian ethnic group representing the people of China.
- Japanese: Ethnic group native to Japan, known for their distinct cultural and historical traditions.
Cómo interpretar el análisis de mezcla genética
Descubre cómo funcionan las calculadoras de mezcla genética y cómo interpretar los resultados
¿Qué es el análisis de mezcla genética?
El análisis de mezcla genética estima la similitud genética comparando tu ADN con poblaciones de referencia de distintas partes del mundo. Los componentes del modelo representan esas referencias y dependen de los datos y supuestos utilizados.
Esta calculadora utiliza 29 cuidadosamente seleccionadas modern poblaciones como referencias para describir con detalle la similitud genética.
Cómo funciona
- Tu ADN se compara con 29 poblaciones de referencia
- Modern se utilizan como referencias genéticas
- Los resultados muestran tu similitud genética con estas poblaciones
- La diversidad del panel de referencia influye en las estimaciones
Cómo interpretar tus resultados
Los resultados muestran porcentajes de similitud genética con estas poblaciones de referencia. Ten presentes estos puntos:
- Los resultados reflejan similitud genética, no ascendencia directa demostrada
- Modern se utilizan como referencias
- Los porcentajes indican contribuciones relativas en el modelo
- Los resultados son estimaciones basadas en los datos de referencia disponibles