K36 Genetic Similarity Report
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K36 Genetic Similarity Report

This report was generated automatically by LM Genetics on 2025-04-27 at 15:44:30.

K36 Genetic Similarity Results

This section shows your genetic similarity to reference populations using the nMonte algorithm. Multiple configurations with different batch sizes (which change the lowest percentage value for results) show which populations contributed to your genetic makeup. Penalty 0 means that distant admixtures are not penalized, and such results show older signals in your ancestry. Result with penalty 0.01 shows your more recent ancestry composition.

nMonte Oracle configuration 1

lowest value 1%|Penalty: 0
Distance of resulting mixture: 1.3777932581208
nMonte Oracle configuration 1
DE_Brandenburg45.00%
DE_Sachsen-Anhalt17.00%
NL_Drenthe10.00%
NL_Gelderland9.00%
Latvia_north-east8.00%
DE_Sachsen-Anhalt_south7.00%
SV_Norrland4.00%

Results Map (nMonte Configuration 1):

Latvia_north-east: 8.00%

Percentage share

45.00%
36.80%
28.60%
20.40%
12.20%
4.00%
Leaflet © OpenStreetMap

nMonte Oracle configuration 2

lowest value 0.5%|Penalty: 0.01
Distance of resulting mixture: 1.4550085648793
nMonte Oracle configuration 2
DE_Brandenburg85.00%
DE_Sachsen-Anhalt7.00%
DE_Sachsen-Anhalt_south2.00%
DE_Schleswig-Holstein1.50%
NL_Drenthe1.50%
Swede_Finland0.50%
DE_Thuringen_east0.50%
DE_Niedersachsen_north0.50%
Lusatian_Sorbs0.50%
NL_Gelderland0.50%
Latvia_north-east0.50%

nMonte Oracle configuration 3

lowest value 5%|Penalty: 0
Distance of resulting mixture: 1.3816199560299
nMonte Oracle configuration 3
DE_Brandenburg40.00%
DE_Sachsen-Anhalt15.00%
NL_Gelderland15.00%
Latvia_north-east10.00%
NL_Drenthe10.00%
SV_Norrland5.00%
DE_Sachsen-Anhalt_south5.00%

nMonte Oracle configuration 4

lowest value 10%|Penalty: 0
Distance of resulting mixture: 1.3888739602642
nMonte Oracle configuration 4
DE_Brandenburg40.00%
DE_Sachsen-Anhalt20.00%
NL_Drenthe20.00%
DE_Sachsen-Anhalt_south10.00%
Latvia_north-east10.00%

nMonte Oracle configuration 5

lowest value 25%|Penalty: 0
Distance of resulting mixture: 1.4121751776957
nMonte Oracle configuration 5
DE_Brandenburg75.00%
DE_Sachsen-Anhalt25.00%

nMonte Oracle configuration 6

lowest value 50%|Penalty: 0
Distance of resulting mixture: 1.5525498510515
nMonte Oracle configuration 6
Lusatian_Sorbs50.00%
NL_Drenthe50.00%

Average Geographic Coordinates

This map shows the weighted average location of your genetic origins based on the nMonte results. It calculates a geographic midpoint by combining the coordinates of each reference population, weighted by their percentage contribution to your genetic profile.

Average coordinates of the sample: 53.144432°N, 12.709683°E

See on Google Map

2, 3 & 4-way Admixture Oracle

This analysis also known as mixed oracle, identifies the most likely combinations of 2, 3, or 4 reference populations that could have contributed to your genetic profile. Lower distance values indicate better matches. Each combination shows the estimated percentage contribution from each source population.

Results:

Admixture proportions for 2 source populations:

  1. Distance: 1.499
    Combination: 89.9% DE_Brandenburg + 10.1% Hungarian_Northern
  2. Distance: 1.503
    Combination: 86.3% DE_Brandenburg + 13.7% DE_Thuringen_east
  3. Distance: 1.508
    Combination: 92.9% DE_Brandenburg + 7.1% Slovakia_central
  4. Distance: 1.514
    Combination: 95.3% DE_Brandenburg + 4.7% SV_Norrland
  5. Distance: 1.515
    Combination: 97.2% DE_Brandenburg + 2.8% Swede_Finland
  6. Distance: 1.518
    Combination: 5.1% DE_Nordrhein + 94.9% DE_Brandenburg
  7. Distance: 1.518
    Combination: 6.6% DE_Niedersachsen_north + 93.4% DE_Brandenburg
  8. Distance: 1.519
    Combination: 97.5% DE_Brandenburg + 2.5% Latvia_western
  9. Distance: 1.519
    Combination: 6.5% DE_Schleswig-Holstein + 93.5% DE_Brandenburg
  10. Distance: 1.520
    Combination: 97.9% DE_Brandenburg + 2.1% Latvia_north-east
  11. Distance: 1.520
    Combination: 6.0% NL_Gelderland + 94.0% DE_Brandenburg
  12. Distance: 1.523
    Combination: 3.8% NL_Drenthe + 96.2% DE_Brandenburg
  13. Distance: 1.524
    Combination: 96.9% DE_Brandenburg + 3.1% Norway_Hedmark
  14. Distance: 1.524
    Combination: 3.2% DE_Niedersachsen + 96.8% DE_Brandenburg
  15. Distance: 1.525
    Combination: 2.8% DE_Westfalen + 97.2% DE_Brandenburg

Admixture proportions for 3 source populations:

  1. Distance: 1.449
    Combination: 79.4% DE_Brandenburg + 18.5% DE_Sachsen-Anhalt_south + 2.1% Latvia_north-east
  2. Distance: 1.505
    Combination: 8.0% NL_Gelderland + 88.7% DE_Brandenburg + 3.4% Swede_Finland
  3. Distance: 1.510
    Combination: 10.8% DE_Niedersachsen_north + 83.4% DE_Brandenburg + 5.8% PL_Kuyavia_&_SE_Pomerania
  4. Distance: 1.511
    Combination: 9.9% DE_Niedersachsen_north + 85.1% DE_Brandenburg + 5.0% German_north-east_Ost_Preussen
  5. Distance: 1.513
    Combination: 94.6% DE_Brandenburg + 2.4% Austria_Karnten + 3.0% Swede_Finland
  6. Distance: 1.518
    Combination: 95.3% DE_Brandenburg + 2.3% Austria_Salzburg + 2.4% Latvia_north-east
  7. Distance: 1.518
    Combination: 1.5% NL_Gelderland + 5.5% DE_Niedersachsen_north + 93.0% DE_Brandenburg
  8. Distance: 1.523
    Combination: 1.5% DE_Westfalen + 95.9% DE_Brandenburg + 2.6% Norway_Hedmark
  9. Distance: 1.524
    Combination: 96.8% DE_Brandenburg + 1.8% Austria_Tirol + 1.4% Lithuanian_Eastern_Aukstota
  10. Distance: 1.524
    Combination: 1.2% NL_Limburg + 96.8% DE_Brandenburg + 2.0% Hungarian_Alfold
  11. Distance: 1.525
    Combination: 2.4% NL_Groningen + 95.6% DE_Brandenburg + 2.0% Lithuanian_southern_Aukstota
  12. Distance: 1.525
    Combination: 1.0% NL_Friesland + 96.9% DE_Brandenburg + 2.1% PL_Kuyavia_&_SE_Pomerania
  13. Distance: 1.569
    Combination: 47.6% NL_Drenthe + 36.8% DE_Thuringen_east + 15.7% Latvia_general
  14. Distance: 1.582
    Combination: 41.5% NL_Drenthe + 32.4% NL_Limburg + 26.1% Latvia_north-east
  15. Distance: 1.602
    Combination: 49.9% NL_Gelderland + 34.8% PL_Kuyavia_&_SE_Pomerania + 15.3% SV_Norrland

Admixture proportions for 4 source populations:

  1. Distance: 1.493
    Combination: 9.4% DE_Niedersachsen_north + 76.5% DE_Brandenburg + 12.2% DE_Thuringen_east + 1.8% Lithuanian_western_Aukstota
  2. Distance: 1.600
    Combination: 61.6% NL_Gelderland + 2.1% German_north-east_Ost_Preussen + 22.5% PL_Suwalki + 13.8% SV_Norrland
  3. Distance: 1.623
    Combination: 55.7% DE_Niedersachsen_north + 30.9% Hungarian_Northern + 10.3% Latvia_general + 3.1% Norway_north
  4. Distance: 1.637
    Combination: 59.7% NL_Drenthe + 4.6% DE_Saarland + 13.3% German_Nieder_Schlesien + 22.4% Latvia_north-east
  5. Distance: 1.641
    Combination: 55.9% NL_Drenthe + 6.4% DE_Sachsen_Kamenz + 28.3% Slovakia_central + 9.4% Lithuanian_Eastern_Aukstota
  6. Distance: 1.661
    Combination: 64.6% NL_Gelderland + 1.1% DE_Niedersachsen + 16.6% Lusatian_Sorbs + 17.8% Lithuanian_western_Aukstota
  7. Distance: 1.672
    Combination: 44.7% NL_Drenthe + 17.3% DE_Niedersachsen + 16.5% Austria_Karnten + 21.4% Lithuanian_western_Aukstota
  8. Distance: 1.675
    Combination: 65.0% DE_Niedersachsen + 2.8% PL_Wielkopolska + 20.1% Latvia_north-east + 12.1% SV_Norrland
  9. Distance: 1.677
    Combination: 2.7% NL_Noord-Holland + 68.9% DE_Schleswig-Holstein + 26.8% Lithuanian_southern_Aukstota + 1.6% Lithuanian_Zematija
  10. Distance: 1.682
    Combination: 38.1% DE_Westfalen + 34.4% Hungarian_Northern + 7.4% Lithuanian_western_Zematija + 20.0% Norway_Hedmark
  11. Distance: 1.686
    Combination: 42.7% NL_Drenthe + 12.7% DE_Westfalen + 24.8% DE_Sachsen + 19.8% Lithuanian_western_Zematija
  12. Distance: 1.686
    Combination: 35.5% NL_Drenthe + 33.2% DE_Thuringen_east + 24.8% German_Danzig + 6.5% German_northern_Ost_Preussen
  13. Distance: 1.702
    Combination: 51.9% NL_Drenthe + 9.4% Austria_Tirol + 16.7% German_northern_Ost_Preussen + 22.0% Lithuanian_Eastern_Aukstota
  14. Distance: 1.706
    Combination: 9.3% NL_Gelderland + 36.6% DE_Schleswig-Holstein + 26.3% DE_Sachsen-Anhalt + 27.8% Slovakia_central
  15. Distance: 1.711
    Combination: 64.5% DE_Westfalen + 8.0% German_northern_Ost_Preussen + 21.5% Latvia_north-east + 6.0% Norway_Hedmark

PCA Analysis

Principal Component Analysis (PCA) enables visualization of genetic relationships between populations. The red dot represents the analyzed sample, while other points indicate reference populations. Populations clustering closer together exhibit greater genetic similarity.

Dendrogram (Neighbor Joining)

This tree diagram shows genetic relationships between your sample (red circle) and the most similar reference populations. Populations that branch closer to yours are more genetically similar. Branch lengths represent genetic distance - shorter branches indicate closer relationships.

DenmarkSV_GotalandDE_Schleswig-HolsteinDE_Mecklenburg_central-eastDE_MecklenburgDE_BrandenburgTargetGerman_PommernGerman_Pommern_eastGerman_northern_Ost_PreussenDE_Sachsen-AnhaltDE_Sachsen-Anhalt_southDE_Thuringen_eastDE_SachsenDE_ThuringenDE_Sachsen_KamenzRed circle = Your sampleBranch lengths represent genetic distance

Euclidean Distances Map

This map visualizes genetic distances between your profile and reference populations across Europe. Areas colored in red shades indicate populations with greater genetic similarity to your profile. Lighter colors (yellow, white) indicate greater genetic distance.

Mapa pokazuje odległości euklidesowe między Twoim wynikiem a populacjami referencyjnymi.

W przypadku przeglądania raportu lokalnie, mapa wymaga połączenia z internetem.

15 Most Similar Populations (Euclidean distances)

  1. DE_Brandenburg 1.5261
  2. German_northern_Ost_Preussen 1.9531
  3. DE_Sachsen-Anhalt 1.9936
  4. DE_Mecklenburg 2.0798
  5. German_Pommern 2.2001
  6. DE_Thuringen_east 2.2379
  7. DE_Sachsen 2.3314
  8. DE_Mecklenburg_central-east 2.3715
  9. DE_Sachsen_Kamenz 2.4593
  10. DE_Sachsen-Anhalt_south 2.4914
  11. DE_Schleswig-Holstein 2.5405
  12. DE_Thuringen 2.5590
  13. German_Pommern_east 2.5706
  14. SV_Gotaland 2.5767
  15. Denmark 2.5920

Correlation Map:

This map visualizes Pearson correlation coefficients between your genetic profile and reference populations. Stronger correlations (darker shades) indicate populations whose genetic components vary in similar patterns to yours, suggesting possible ancestral connections.

The map shows correlations between your result and reference populations.

If you are viewing the report locally, the map requires an internet connection.

15 Most Correlated Populations

  1. DE_Brandenburg 0.9677
  2. German_northern_Ost_Preussen 0.9467
  3. DE_Sachsen-Anhalt 0.9443
  4. DE_Mecklenburg 0.9414
  5. German_Pommern 0.9321
  6. DE_Thuringen_east 0.9304
  7. DE_Sachsen 0.9243
  8. DE_Mecklenburg_central-east 0.9230
  9. SV_Gotaland 0.9169
  10. DE_Sachsen_Kamenz 0.9147
  11. SV_Skane 0.9141
  12. DE_Schleswig-Holstein 0.9130
  13. DE_Sachsen-Anhalt_south 0.9120
  14. DE_Niedersachsen_north 0.9112
  15. Denmark 0.9105

AI Summary

This is an AI analysis of your genetic results, highlighting the most significant findings from all sections of the report. It focuses on your predominant genetic affinities and geographic origins. This is very experimental function and not always work properly.

The genetic results indicate a strong affinity to **Germany**, particularly the region of Brandenburg. There is also evidence of some ancestry related to **Netherlands**, the **Baltic region** (specifically Latvia), and **Scandinavia** (especially Sweden). Admixture analysis suggests the primary ancestral component is from Brandenburg, with minor contributions from other regions.
Calculation time: 30.675 s