The Siberian Tatars are the Turkic-speaking indigenous people of western Siberia, along the Irtysh, Tobol and Ishim rivers around Tobolsk, Tyumen and Omsk. Their Siberian Khanate, with its capital at Isker, fell to the Cossack expedition of Yermak in 1582, opening Siberia to Russian expansion. In our model, the Siberian Tatar average is 25.9% steppe, 20.6% Ancient Northeast Asian, 16.2% Arctic Siberian, 11.6% Anatolian Neolithic farmer, 9.9% Eastern hunter-gatherer and 7.0% East Asian, with small Ancient North Eurasian, Levantine and Iranian shares. The Eastern hunter-gatherer component, typical of the forest zone west of the Urals, sets them apart from most Siberian peoples. After other Siberian Tatar samples, the closest modern averages are not the Volga Tatars but the Bashkirs of the southern Urals (0.023 and beyond). The closest ancient groups are High Medieval Chiyalik people from Bashkortostan (0.0285) and Hungarian Conquest-period individuals with an early Magyar-mixed profile (0.031), a reminder that the early Hungarians came from the Ural region.

  • Largest ancient components in our model: Steppe herders (Yamnaya) 25.9%, Ancient Northeast Asians 20.6%, Arctic Siberian (Nganasan-related) 16.2%
  • Closest other population in our data: Bashkir (Baimaksky), distance 0.0230
  • Closest ancient group in our data: Russia Bashkortostan High Medieval Chiyalik Gornovo, distance 0.0285

Where does Siberian Tatar DNA sit on the genetic map of the world? To answer, we take the averaged Global25 (G25) coordinates of the Siberian Tatar individuals sampled in Russia (Western Siberia), listed in the G25 sheet as "Tatar_Siberian" and compare them with deep ancestral reference populations, with other modern groups and with ancient genomes. It is one of 335 populations in our atlas.

Ancient make-up of the Siberian Tatar average

Steppe herders (Yamnaya)
25.9%
Ancient Northeast Asians
20.6%
Arctic Siberian (Nganasan-related)
16.2%
Anatolian Neolithic farmers
11.6%
Eastern hunter-gatherers
9.9%
East Asian
7.0%
Ancient North Eurasians
3.9%
Levantine Neolithic farmers
2.7%
Iranian Neolithic farmers
2.2%

The ancient make-up of the Siberian Tatar average is led by Steppe herders (Yamnaya) (25.9%), followed by Ancient Northeast Asians (20.6%) and Arctic Siberian (Nganasan-related) (16.2%). The Steppe herders (Yamnaya) component reflects the Bronze Age herders of the Pontic-Caspian steppe (Yamnaya and related groups), whose ancestry spread across Europe and into Asia from about 3000 BC. The Ancient Northeast Asians share (20.6%) reflects ancestry most common today in East Asia. No single source dominates, so the profile is best read as a balanced blend of several ancient ancestries.

Smaller traces of Ancient North Eurasians, Levantine Neolithic farmers and Iranian Neolithic farmers (under 5% each) also appear. At that level they can reflect real minor ancestry, but also simple model noise, so they should not be over-read. The fit is acceptable (fit distance 0.029): treat the proportions as a good approximation rather than exact values. This population was modelled with a global set of reference populations (ancient genomes, plus modern stand-ins where no suitable ancient genome exists), because West Eurasian sources alone cannot describe it.

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Closest modern populations to Siberian Tatar

Genetically, the Siberian Tatar average sits nearest to Tatar (Siberian Buhar) at 0.014, Tatar (Siberian Ishtyak Toguz) at 0.014 and Bashkir (Baimaksky) at 0.023. On our scale, a distance of 0.014 counts as very close. Leaving aside the other regional samples listed under the same name in the G25 sheet, the nearest other populations are Bashkir (Baimaksky) (0.023), Bashkir (Kugarchinsky) (0.029) and Bashkir (0.038). By the tenth closest (Nogai (Stavropol)) the distance grows to 0.065, a common pattern for a population that shares ancestry with its neighbours while keeping a profile of its own.

#PopulationDistanceCloseness
1 Tatar (Siberian Buhar) 0.0135 Very close
2 Tatar (Siberian Ishtyak Toguz) 0.0140 Very close
3 Bashkir (Baimaksky) 0.0230 Very close
4 Bashkir (Kugarchinsky) 0.0287 Close
5 Bashkir 0.0382 Close
6 Kazakh (Uzbekistan) 0.0419 Close
7 Bashkir (Ishimbai) 0.0465 Close
8 Nogai (Dobruja) 0.0587 Moderate
9 Nogai 0.0623 Moderate
10 Nogai (Stavropol) 0.0651 Moderate

Distances are Euclidean distances between averaged G25 coordinates. On our scale, below 0.025 is very close, below 0.050 close, below 0.080 moderate, and beyond that distant.

Closest ancient populations to Siberian Tatar

Looking back in time, the ancient sample that most resembles the Siberian Tatar average is Russia Bashkortostan High Medieval Chiyalik Gornovo (High Medieval, c. 1000-1300 AD), at 0.029. Hungary Early Medieval Conqueror Period (Early Magyar-Mixed Profile) and Russia Bashkortostan High Medieval Chiyalik Ust-Menzel'ya come next. That is a close match: much of the modern profile was already present then, while later movements of people added further layers. A close ancient match is not proof of direct descent: it means those individuals carried a similar overall mix of ancestry.

#Ancient sample or groupPeriodDistance
1 Russia Bashkortostan High Medieval Chiyalik Gornovo High Medieval, c. 1000-1300 AD 0.0285
2 Hungary Early Medieval Conqueror Period (Early Magyar-Mixed Profile) Early Medieval, c. 500-1000 AD 0.0310
3 Russia Bashkortostan High Medieval Chiyalik Ust-Menzel'ya High Medieval, c. 1000-1300 AD 0.0336
4 Russia Udmurtia High-Late Medieval Zuevy-Klyuchi High to Late Medieval, c. 1000-1500 AD 0.0369
5 Kazakhstan IA Tasmola Serekty Iron Age 0.0398
6 Kazakhstan Late Antiquity Xianbei-Hun Berel Late Antiquity, c. 250-600 AD 0.0404
7 Kazakhstan IA Tasmola Karashoky Iron Age 0.0408
8 Kazakhstan IA Tasmola Kyzylshilik Iron Age 0.0414
9 Kazakhstan IA-Late Antiquity Xianbei-Hun Berel Late Antiquity, c. 250-600 AD 0.0424
10 Kazakhstan IA Pazyryk Berel Iron Age 0.0431

Ancient DNA from Russia

Our ancient DNA database holds 2,938 individuals excavated in present-day Russia, dated from about 208,050 BC to 1918 AD. The most frequent Y-DNA haplogroups among them are R1a (370), R1b (317) and N1a (235), and the most frequent mtDNA haplogroups are U5 (367), U4 (226) and U2 (150). These are people who lived on the same land in the past, not necessarily ancestors of today's Siberian Tatar population.

Most frequent Y-DNA haplogroups

HaplogroupIndividualsExamples
R1a 370 PES001 NEO202 MN2002
R1b 317 MIN5 MN2003 NEO536
N1a 235 Popovskij-1 irk007 DA245
Q1b 184 NEO100 NEO72 I6910
Q1a 77 AfontovaGora2 Kolyma1 I11745
C2a 61 UKY001 I20533 Dzhylinda-1
I2a 61 NEO212 NEO204 I6103
J2a 24 I2055 I2056 I11828

Most frequent mtDNA haplogroups

HaplogroupIndividualsExamples
U5 367 I8743 Sidelkino MNN007
U4 226 PES001 NEO202 MIN1
U2 150 Kostenki14 Sunghir2 Sunghir3
C4 117 UKY001 I13097 NEO116
D4 113 I20533 I2139 I12695
T2 110 NEO555 KAR001 NEO75
H 92 S1102 A3 KAL2
H2 84 NEO100 I6302 I6403

Ancient DNA studies on Russia

Browse them in our ancient DNA database: 2,938 from Russia.

Compare yourself with Siberian Tatar

Paste your G25 coordinates (scaled, one line, with or without a name in front) and we compute your genetic distance to the Siberian Tatar average and to its closest neighbours, right in your browser. Nothing is uploaded or stored.

No G25 coordinates yet? Get a free simulated G25 from your raw DNA file, or order G25 coordinates.

About these numbers

A word of caution: these figures describe the average of the Siberian Tatar individuals who were sampled, not every person who identifies as Siberian Tatar. Individuals vary around that average, and identity is about history, language and family, not about a genetic score. Read this page as a map of deep ancestry, not as a definition.

Method: averaged G25 coordinates, Euclidean distances to other modern and ancient averages, and a non-negative least-squares model against deep ancestral reference populations (data generated 2026-10-01). Read the full method.

Go deeper than the average

This page describes the Siberian Tatar average. Your own DNA has its own story: Turan – Silk Road & Central Asian Ancestry Report (15€) models your genome against the ancient sources and modern communities of the region, era by era, in a personal PDF report.

A report built for people of Central Asian / Silk Road Turkic ancestry: ancient regional core (Botai, Andronovo, BMAC Bactria-Margiana, Saka/Scythian, Wusun, Kushan Empire, Xiongnu, Turkic Khaganate, Golden Horde) versus non-regional...

Frequently asked questions

What is the ancient genetic make-up of Siberian Tatar?

Modelled with deep ancestral reference populations, the Siberian Tatar average is about 25.9% Steppe herders (Yamnaya), 20.6% Ancient Northeast Asians and 16.2% Arctic Siberian (Nganasan-related). These proportions are model estimates for a group average, not exact values for any one person.

Which populations are genetically closest to Siberian Tatar?

Leaving aside other regional samples listed under the same name in the G25 sheet (such as Tatar (Siberian Buhar)), the closest modern populations to the Siberian Tatar average are Bashkir (Baimaksky), Bashkir (Kugarchinsky) and Bashkir. The closest ancient matches are Russia Bashkortostan High Medieval Chiyalik Gornovo, Hungary Early Medieval Conqueror Period (Early Magyar-Mixed Profile) and Russia Bashkortostan High Medieval Chiyalik Ust-Menzel'ya.

Can a DNA test tell me if I am Siberian Tatar?

No DNA test can confirm an ethnicity or a nationality. What DNA can show is how similar your genome is to the sampled Siberian Tatar average and to its neighbours. If you have G25 coordinates, paste them in the comparison box on this page to check that for free.

Which ExploreYourDNA report suits Siberian Tatar ancestry?

For the Siberian Tatar average, the regional report to choose is Turan – Silk Road & Central Asian Ancestry Report, which our fit test rates as an excellent match. Your own DNA may differ from the average, so the free Report Finder checks every report against your file before you buy.

Where does the data on this page come from?

From the averaged Global25 (G25) coordinates of the sampled individuals: genetic distances to other modern and ancient population averages, and a non-negative least-squares model against deep ancestral reference populations. The full method is described at https://www.exploreyourdna.com/populations#method.

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