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Lithuania: haplogroups

FamilyTreeDNA has 1,867 kits with a Y-DNA result and 1,066 kits with mtDNA (mitochondrial DNA). On the paternal line the most common are R1a-M198 — 19%, N-CTS2929 — 15% and J2 — 11%. On the maternal line the most common are H — 37%, K1a — 14% and U — 12%. YFull has 224 samples for Y from the same area, and its mix of major branches is almost the same. The largest gap is N-CTS2929: 15% on FTDNA against 23% on YFull.

Compare with…
139
Y-DNA · kits per 100,000 men
rank 8 of 123 among countries. About 1.3 million men (UN, 2023). A kit's country is the ancestor's homeland, not where the tester lives
37.3
mtDNA · kits per 100,000 people
rank 6 of 93 among countries. About 2.9 million people (UN, 2023)

Paternal line · Y-DNA

1,867 kits · 30 branches
Main branches of the Y tree. Each branch counts every kit in it and in its sub-branches; sub-branches are indented. Age is how many years ago the branch's common ancestor lived (TMRCA).
R
564 · 30.2% 28k years
R1a-M198
364 · 19.5% 8,500 years
Z282
247 · 13.2% 4,800 years
Z280
186 · 10.0% 4,700 years
CTS1211
125 · 6.7% 4,400 years
Y35
95 · 5.1% 4,300 years
Z92
56 · 3.0% 4,200 years
M458
54 · 2.9% 4,300 years
Z2124
51 · 2.7% 4,500 years
R1b-M269
159 · 8.5% 6,500 years
L23
133 · 7.1% 6,400 years
L51
100 · 5.4% 6,100 years
P312
52 · 2.8% 4,900 years
J
407 · 21.8% 30k years
J2
207 · 11.1% 28k years
J2a
139 · 7.4% 20k years
M67
76 · 4.1% 13k years
J1
189 · 10.1% 19k years
P58
114 · 6.1% 9,800 years
Z2313
85 · 4.6% 5,800 years
N1a-M178
322 · 17.2% 14k years
N-CTS2929
277 · 14.8% 4,000 years
E
243 · 13.0% 52k years
E1b1b-M35
202 · 10.8% 25k years
E-Z830
151 · 8.1% 20k years
M34
120 · 6.4% 15k years
G
122 · 6.5% 28k years
I
110 · 5.9% 35k years
I2
66 · 3.5% 25k years
Q
54 · 2.9% 30k years
other
45 · 2.4%

Among the rest: T 31, H 1, C 1.

Maternal line · mtDNA

1,066 kits · 30 branches
Main mt-tree branches grouped by letter, sub-branches indented. Each branch counts every kit in it and in its sub-branches. Age is how many years ago the branch's common foremother lived, from FTDNA data where available.
H
391 · 36.7% 11k years
H1
156 · 14.6% 7,900 years
H1-T16189C!
49 · 4.6%
H1b
45 · 4.2% 5,100 years
H1c
31 · 2.9% 5,300 years
H3
31 · 2.9% 6,700 years
K
187 · 17.5% 29k years
K1a
152 · 14.3% 11k years
K1a1b1a
106 · 9.9% 2,800 years
K1a9
36 · 3.4% 2,800 years
K2a
28 · 2.6% 14k years
U
133 · 12.5% 51k years
U2'3'4'7'8'9
68 · 6.4% 50k years
U4
34 · 3.2% 22k years
U5a'b
60 · 5.6% 30k years
U5a
43 · 4.0% 21k years
U5a1
31 · 2.9% 13k years
J
76 · 7.1% 35k years
J1
67 · 6.3% 28k years
J1c
51 · 4.8% 13k years
J1c-C16261T
29 · 2.7% 6,600 years
T
53 · 5.0% 20k years
T2
34 · 3.2% 15k years
HV
44 · 4.1% 13k years
N
43 · 4.0% 59k years
N1b1
35 · 3.3% 22k years
N1b1b1
28 · 2.6% 2,700 years
W
41 · 3.8% 12k years
I1
28 · 2.6% 14k years
V
28 · 2.6% 7,500 years
other
42 · 3.9%

Among the rest: M 13, L 9, C 2, D 2.

Migration paths of the characteristic branches #

Paths of the region's main characteristic branches, as modelled by FamilyTreeDNA Discover, on one calendar clock: in each year a branch stands where its ancestral line was. Grey is a stretch of path shared by several branches; the large marker is the branch itself. Above the map you can pick the paternal line (Y-DNA) or the maternal one (mtDNA).

Show the mapHide the map The map unfolds by itself as you scroll down to it.

Loading the map…

The time scale is logarithmic: the closer to the present, the longer a year takes.

The same branches are in the tree on this page.

Lithuania: Y-DNA #

Distinctive branches

Branches found here far more often than worldwide: their share is more than 3× the world share. The multiplier is in brackets. Branches of at least 10 kits are included.

  • N-FGC52464: 253 kits · 13.6% (95% confidence interval: 12–15%) (×31.3) 2,800 years
  • E-PF1962: 151 kits · 8.1% (95% confidence interval: 7–9%) (×5.8) 20k years
  • N-Tat: 321 kits · 17.2% (95% confidence interval: 16–19%) (×4.9) 13k years
  • R-Z92 R1a-Z92: 56 kits · 3.0% (95% confidence interval: 2–4%) (×6.8) 4,200 years
  • E-M34 E-M34: 120 kits · 6.4% (95% confidence interval: 5–8%) (×5.2) 15k years
  • R-Z280 R1a-Z280: 186 kits · 10.0% (95% confidence interval: 9–11%) (×4.5) 4,700 years
  • R-YP237: 44 kits · 2.4% (95% confidence interval: 2–3%) (×5.6) 3,700 years
  • J-M92 J2a-M92: 48 kits · 2.6% (95% confidence interval: 2–3%) (×5.2) 8,000 years

Most similar countries

Countries whose mix of major branches looks most like this one. The number is similarity: 100% is the same mix, lower means less in common. Computed only for countries with 100+ kits.

3–23%24–33%34–39%40–47%48–90%Lithuaniaunder 100 kits
All 112 countries and regions by similarity
  1. Belarus 90%
  2. Latvia 88%
  3. Ukraine 86%
  4. Poland 83%
  5. Romania 79%
  6. Russia 77%
  7. Hungary 77%
  8. Slovakia 74%
  9. Austria 72%
  10. Moldova 72%
  11. Czech Republic 65%
  12. Greece 62%
  13. Italy 60%
  14. Germany 57%
  15. Israel 56%
  16. Turkey 56%
  17. Bulgaria 56%
  18. Iran 52%
  19. Lebanon 51%
  20. Estonia 49%
  21. Azerbaijan 48%
  22. Syria 48%
  23. Tatarstan 47%
  24. Armenia 47%
  25. Iraq 47%
  26. Spain 46%
  27. Serbia 46%
  28. Croatia 46%
  29. Mordovia 46%
  30. Portugal 45%
  31. Egypt 45%
  32. Switzerland 45%
  33. Netherlands 45%
  34. Macedonia 45%
  35. Bashkortostan 44%
  36. France 43%
  37. Palestine 42%
  38. Slovenia 42%
  39. Georgia 41%
  40. Brazil 41%
  41. Bosnia and Herzegovina 40%
  42. Albania 40%
  43. Bahrain 40%
  44. Tunisia 39%
  45. Belgium 39%
  46. Denmark 39%
  47. Italy (Sicily) 39%
  48. United Arab Emirates 39%
  49. Afghanistan 38%
  50. Mexico 38%
  51. United Kingdom 38%
  52. England 37%
  53. Jordan 37%
  54. Qatar 37%
  55. Tajikistan 37%
  56. Kazakhstan 36%
  57. Uzbekistan 36%
  58. Kuwait 36%
  59. Saudi Arabia 36%
  60. Canada 35%
  61. United States 35%
  62. Chuvashia 35%
  63. Pakistan 35%
  64. Luxembourg 35%
  65. Morocco 35%
  66. Adygea 34%
  67. Puerto Rico 33%
  68. Sweden 33%
  69. Algeria 33%
  70. Dagestan 33%
  71. Montenegro 32%
  72. United States (Native American) 31%
  73. Yemen 30%
  74. India 30%
  75. Colombia 30%
  76. Wales 30%
  77. Norway 29%
  78. Argentina 29%
  79. Cuba 29%
  80. South Africa 29%
  81. Scotland 29%
  82. Libya 28%
  83. Australia 28%
  84. Oman 27%
  85. Sudan 26%
  86. Chile 25%
  87. Dominican Republic 25%
  88. Finland 25%
  89. Ireland 24%
  90. Northern Ireland 23%
  91. Karelia 22%
  92. Sri Lanka 21%
  93. Peru 21%
  94. Chechnya 20%
  95. Jamaica 20%
  96. England (Cornish) 19%
  97. Iceland 18%
  98. New Zealand 15%
  99. Somalia 12%
  100. China 12%
  101. Ingushetia 11%
  102. Indonesia 11%
  103. Mongolia 10%
  104. Isle of Man 8%
  105. Cameroon 8%
  106. Philippines 8%
  107. Nigeria 6%
  108. South Korea 6%
  109. Japan 6%
  110. Orstkhoy (Aosta Valley in FTDNA) 5%
  111. Ghana 4%
  112. Vietnam 3%

Lithuania: mtDNA #

Distinctive branches

Branches found here far more often than worldwide: their share is more than 3× the world share. The multiplier is in brackets. Branches of at least 10 kits are included.

  • M33c: 12 kits · 1.1% (95% confidence interval: 1–2%) (×40.1)
  • H3w: 14 kits · 1.3% (95% confidence interval: 1–2%) (×22.2)
  • H40b: 10 kits · 0.9% (95% confidence interval: 1–2%) (×20.2)
  • HV5a: 12 kits · 1.1% (95% confidence interval: 1–2%) (×15.7)
  • W6a: 14 kits · 1.3% (95% confidence interval: 1–2%) (×13.3)
  • HV1b: 23 kits · 2.2% (95% confidence interval: 1–3%) (×11.1)
  • H7e: 13 kits · 1.2% (95% confidence interval: 1–2%) (×13.2)
  • I1c: 10 kits · 0.9% (95% confidence interval: 1–2%) (×13.7)

Most similar countries

Countries whose mix of major branches looks most like this one. The number is similarity: 100% is the same mix, lower means less in common. Computed only for countries with 100+ kits.

1–31%32–50%51–65%66–71%72–89%Lithuaniaunder 100 kits
All 71 countries and regions by similarity
  1. Belarus 89%
  2. Ukraine 88%
  3. Poland 87%
  4. Russia 85%
  5. Latvia 84%
  6. Romania 82%
  7. Austria 81%
  8. Hungary 80%
  9. Germany 76%
  10. Czech Republic 75%
  11. Slovakia 73%
  12. England 72%
  13. Moldova 72%
  14. Sweden 72%
  15. United Kingdom 71%
  16. Netherlands 71%
  17. United States 71%
  18. Scotland 70%
  19. France 70%
  20. Belgium 69%
  21. Estonia 69%
  22. Norway 69%
  23. Ireland 69%
  24. Wales 69%
  25. Switzerland 68%
  26. Denmark 68%
  27. Italy 68%
  28. Canada 65%
  29. Northern Ireland 65%
  30. Croatia 64%
  31. Bosnia and Herzegovina 63%
  32. Portugal 63%
  33. Slovenia 62%
  34. Greece 61%
  35. Bulgaria 61%
  36. Finland 61%
  37. Australia 60%
  38. Spain 59%
  39. Serbia 59%
  40. Turkey 55%
  41. United States (Native American) 54%
  42. Armenia 51%
  43. Syria 50%
  44. Israel 50%
  45. Chechnya 48%
  46. Algeria 47%
  47. Lebanon 46%
  48. Iraq 40%
  49. New Zealand 39%
  50. Egypt 39%
  51. Morocco 37%
  52. Saudi Arabia 36%
  53. Iran 34%
  54. South Africa 33%
  55. Brazil 32%
  56. United Arab Emirates 32%
  57. Cuba 31%
  58. Kuwait 31%
  59. Argentina 22%
  60. India 19%
  61. Mexico 18%
  62. Dominican Republic 17%
  63. Puerto Rico 15%
  64. Canada (First Nations) 12%
  65. China 9%
  66. Jamaica 7%
  67. Chile 7%
  68. Colombia 5%
  69. Japan 4%
  70. South Korea 2%
  71. Philippines 1%
YFull

The same country on YFull #

The same country at the second company, YFull. Its samples are placed on the FTDNA tree by shared mutations, so the branches are comparable. FTDNA share on the left, YFull on the right, then the difference in percentage points. Republics and other sub-regions are taken out of the country, as at FTDNA. Starred branches are nearly empty at YFull: every test there is whole-genome and reaches the fine branches. Only YFull customers (YF number) are counted, no ancient DNA. YFull data of 2026-11-02. The tree shows only its top three levels.

Y-DNA

1,867
FTDNA
kits
224
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
R R-M207
30.2% · 31.7%+1.5
R1a-M198 R-M198
19.5% · 18.3%−1.2
Z282 R-Z282
13.2% · 18.3%+5.1
Z2124 R-Z2124
2.7% · 0.0%−2.7
R1b-M269 R-M269
8.5% · 12.9%+4.4
L23 R-L23
7.1% · 12.9%+5.8
J J-M304
21.8% · 16.1%−5.7
J2 J-M172
11.1% · 10.7%−0.4
J2a J-M410
7.4% · 8.5%+1
J1 J-M267
10.1% · 5.4%−4.8
P58 J-P58
6.1% · 5.4%−0.7
N1a-M178 N-M178
17.2% · 23.2%+6
N-CTS2929
14.8% · 23.2%+8.4
E E-M96
13.0% · 14.7%+1.7
E1b1b-M35 E-M35
10.8% · 13.8%+3
E-Z830 E-CTS10298
8.1% · 11.6%+3.5
G G-M201
6.5% · 6.7%+0.2
I I-L758
5.9% · 4.5%−1.4
I2 I-P215
3.5% · 2.2%−1.3
Q Q-M242
2.9% · 1.8%−1.1

mtDNA

1,066
FTDNA
kits
52
YFull
samples
FTDNAYFull
FTDNA · YFull · Δ
H
36.7% · 38.5%+1.8
H1
14.6% · 15.4%+0.8
H1-T16189C!
4.6% · 9.6%+5
H1c
2.9% · 0.0%−2.9
H3
2.9% · 0.0%−2.9
K
17.5% · 5.8%−11.8
K1a
14.3% · 5.8%−8.5
K1a1b1a
9.9% · 3.8%−6.1
K1a9
3.4% · 0.0%−3.4
K2a
2.6% · 0.0%−2.6
U
12.5% · 7.7%−4.8
U2'3'4'7'8'9
6.4% · 3.8%−2.5
U4
3.2% · 0.0%−3.2
U5a'b
5.6% · 3.8%−1.8
U5a
4.0% · 3.8%−0.2
J
7.1% · 15.4%+8.3
J1
6.3% · 13.5%+7.2
J1c
4.8% · 7.7%+2.9
T
5.0% · 9.6%+4.6
T2
3.2% · 7.7%+4.5
HV
4.1% · 3.8%−0.3
N
4.0% · 1.9%−2.1
N1b1
3.3% · 0.0%−3.3
N1b1b1
2.6% · 0.0%−2.6
W
3.8% · 5.8%+1.9
I1
2.6% · 1.9%−0.7
V
2.6% · 5.8%+3.1

The same country on the project maps

In the FTDNA geographic projects a member puts the place of their paternal or maternal ancestor on the map. Here those points are set against the public tree: solid bar the tree, hatched bar the points on the maps, copy of 2026-10-20. A person in several projects counts once. Branches as in the tree above: each counts every kit in it and in its sub-branches.

Y-DNA FTDNA 1,867 · Projects 721

FTDNAProjects
FTDNA · Projects · Δ
R R-M207
30.2% · 30.8%+0.6
R1a-M198 R-M198
19.5% · 18.4%−1
Z282 R-Z282
13.2% · 12.5%−0.7
Z280 R-Z280
10.0% · 9.6%−0.4
R1b-M269 R-M269
8.5% · 10.7%+2.2
J J-M304
21.8% · 13.3%−8.5
J2 J-M172
11.1% · 8.2%−2.9
J2a J-M410
7.4% · 4.9%−2.6
J1 J-M267
10.1% · 5.1%−5
N1a-M178 N-M178
17.2% · 23.2%+5.9
N-CTS2929
14.8% · 20.0%+5.1
E E-M96
13.0% · 10.1%−2.9
E1b1b-M35 E-M35
10.8% · 9.3%−1.5
E-Z830 E-CTS10298
8.1% · 5.7%−2.4

mtDNA FTDNA 1,066 · Projects 447

FTDNAProjects
FTDNA · Projects · Δ
H
36.7% · 32.7%−4
H1
14.6% · 10.7%−3.9
H1-T16189C!
4.6% · 3.1%−1.5
H1b
4.2% · 2.7%−1.5
K
17.5% · 14.8%−2.8
K1a
14.3% · 8.3%−6
K1a1b1a
9.9% · 6.3%−3.7
U
12.5% · 15.4%+3
U2'3'4'7'8'9
6.4% · 8.3%+1.9
U5a'b
5.6% · 4.5%−1.2
J
7.1% · 6.0%−1.1
J1
6.3% · 3.8%−2.5
J1c
4.8% · 2.2%−2.5
T
5.0% · 5.1%+0.2
773
Y-DNA · People on the map
721 of them have a branch of the tree; relatives with one ancestor at one place count as one, 766 such votes
77%
Y-DNA · SNP-confirmed
that many have the branch confirmed by an SNP test, the rest predicted from STRs
448
mtDNA · People on the map
447 of them have a branch of the tree; relatives with one ancestor at one place count as one, 445 such votes
91%
agreement with YFull · Y
how closely the Y tree branches match between FTDNA and YFull, each branch counted without its sub-branches. 100% is identical, below 80% is visibly different.
N-CTS2929 +8.4
gap to YFull · Y
the Y branch whose share differs most between the two companies: FTDNA 14.8%, YFull 23.2%
32% / 20%
reached the finest branch: YFull / FTDNA
share of YFull samples and FTDNA kits that reached the finest branch of the FTDNA tree. On average a YFull sample sits 39.1 branchings from the root, an FTDNA kit 31.1
20%
Y-DNA · on leaves
share of kits that reached the finest branch of the tree. The rest stopped at a broad branch: their test was not detailed enough.
32%
Big Y
rough share of kits with a Big Y test, a full read of the Y chromosome. It is estimated from the branches where the region's kits sit, so it is an estimate, not a count.
62%
mtDNA · on leaves
share of kits that reached the finest branch of the tree. The rest stopped at a broad branch: their test was not detailed enough.
0.57
mt to Y
mtDNA kits per one Y-DNA kit. Below 0.3 means the country tests almost only the paternal line.

New this month #

FTDNA: how much the kit count grew between the tree copies of 2026-10-09 and 2026-11-12. A kit that moved to a new sub-branch after refinement is not counted as new. YFull: samples YFull itself marks as new, in the copy of 2026-11-02; YFull drops the mark after a few weeks.

+8
Y-DNA, FTDNA
new kits, 2026-10-09 → 2026-11-12
+3
mtDNA, FTDNA
new kits, 2026-10-12 → 2026-11-11

Y-DNA: branches that grew

mtDNA: branches that grew

YFull

Regions on YFull #

Regions that cannot be picked at FTDNA but are reported by YFull customers. Regions with 20 or more samples are shown; modern YFull customers only. YFull regions →

Regions on YFull
Country / region Y mt Leading
Vilniaus Apskritis LT-VL 34 17 R-Z280 R1a-Z280 24%, N-CTS2929 N-CTS2929 18%, J-PF4638 J1-Z2313 15%
Kauno Apskritis LT-KU 32 10 R-L23 R1b-L23 28%, E-M34 E-M34 16%, J-M304 J 13%
YFull

Peoples and languages on YFull #

Native language reported by YFull customers from this country. People from regions with a page of their own (republics, autonomies) are shown there. These are the testers' own answers, not a census.

YFull

Recent kin across borders #

Shared young paternal branches: YFull customers from this country and from the partner country have a common paternal-line ancestor no older than 500 years. The comparison accounts for how linked a country is abroad overall: shown are partners with more shared branches than its general openness would give. It reflects recent migration and shared ancestry, not ethnicity.

Recent kin across borders
Country shared branches expected × chance?
Belarus 21 2.2 9.7 unlikely by chance p < 0.001
Poland 17 3.0 5.8 unlikely by chance p < 0.001
Ukraine 14 2.7 5.2 unlikely by chance p < 0.001
Germany 7 1.9 3.6 unlikely by chance p = 0.003
Czech Republic 5 0.75 6.7 unlikely by chance p < 0.001

Ancient relatives of male lines #

Which cultures of the Copper Age and Early Bronze Age (4000–2000 BCE) the local male lines lead to most closely. The share is how many kits lead to a culture; the range is in brackets.

Lithuania Seima-Turbino culture and Neolithic Scandinavian: 50.5% Seima-Turbino culture and Neolithic Scandinavian ≈ 2,000–2,600 BCE 51%? 49%
Lithuania Seima-Turbino culture and Neolithic Scandinavian Seima-Turbino culture and Neolithic Scandinavian · R1a: 19.7% R1a Seima-Turbino culture and Neolithic Scandinavian: R1a → R1a 14.2% Seima-Turbino culture and Neolithic Scandinavian: R1a → R1a 3.6% Seima-Turbino culture and Neolithic Scandinavian: R1a → R1a 2.0% Seima-Turbino culture and Neolithic Scandinavian · N: 17.8% N Seima-Turbino culture and Neolithic Scandinavian: N → N 17.8% Seima-Turbino culture and Neolithic Scandinavian · R1b: 7.7% R1b Seima-Turbino culture and Neolithic Scandinavian: R1b → R1b 5.2% Seima-Turbino culture and Neolithic Scandinavian: R1b → R1b 2.5% Seima-Turbino culture and Neolithic Scandinavian · I1: 2.3% Seima-Turbino culture and Neolithic Scandinavian: I1 → I1 2.3% Seima-Turbino culture and Neolithic Scandinavian · I2a: 2.0% Seima-Turbino culture and Neolithic Scandinavian: I2a → I2a 2.0% Seima-Turbino culture and Neolithic Scandinavian · I2: 0.4% Seima-Turbino culture and Neolithic Scandinavian: I2 → I2 0.4% R1a 20% N 18% E1b1b 11% J1 10% R1b 10% J2a 7% Q 3% … 19%
Left: the major branches through which the lines lead to a culture; right: all major branches. Grey: the part of a branch without ancient relatives of this era.
How it is counted
  • Branches of the era. We take the ancient samples whose date falls inside the era, and compare the lines as they stood 1,500 years before the era ends.
  • A culture’s profile is the share of its lines on those branches. The number of samples does not change a weight: a culture of seven men weighs as much as one of a hundred and twenty.
  • A shallow test. An ancient man typed above the cut is spread over the branches under his node, by how many men each holds now. Today’s kits are treated the same way.
  • Who is admitted. A culture takes part when its sharply typed men cover 25% of the population on their own: branch by branch we add the smaller of the two shares, the culture’s and the population’s. One dug within 550 km needs only 0.5%.
  • The shares. We pick the weights of the cultures so that their mixture comes as close as it can to today’s set of branches.
  • Look-alike cultures. When cultures share almost all their branches, the data cannot say whose kin the men are. So we do not split the share between them: they get one bar.
  • The range. We recount everything on random subsets of the samples. In brackets are the bounds the share keeps in nine runs out of ten. A share that can fall below 5%, or below half of itself, is not shown at all.
  • “Fragile”: the share rests on a few samples, or a random shuffle of cultures gives as much.

What it does not mean. This is kinship of male lines, not the origin of a people. The female lines say nothing here. Who takes a test is a matter of chance, so the shares compare between countries, not with a census.

Ancient samples

From excavations on this territory: 30 samples by Y-DNA and 30 samples by mtDNA. The oldest: 5,998 BCE, K1b2.

Grande Armée 12 · Iron Age Baltic 7 · Narva culture 4 · Trzciniec culture 3 · Corded Ware culture 2

All ancient samples →

Data on this page: FamilyTreeDNA Y tree, 12 November 2026: 1,867 kits; FamilyTreeDNA mtDNA tree, 11 November 2026: 1,066 kits; YFull Y tree, 2 November 2026: 224 samples; YFull mtDNA tree, 2 November 2026: 52 samples.

How to cite: ftdnastat, "Lithuania: Y-DNA and mtDNA haplogroups", https://ftdnastat.github.io/en/c/lithuania/, data of 2026-11-14, build 20261114-18dba71.

The data is licensed under CC BY 4.0: take it, rework it, just credit ftdnastat.