K36 Advanced Chromosomal Analysis
Results for individual chromosomes
Analysis of continental origin
About Continental Breakdown Analysis
This section analyzes your genetic data and categorizes it into major continental groups. Based on your K36 components from all chromosomes. The analysis determines if your ancestry is primarily from a single continental region (dominant) or represents a mix of different continental origins. Results above 70% for a single continental group indicate dominant ancestry from that region, while more balanced percentages across multiple groups suggest mixed ancestry.
Dominant continental ancestry detected: European (88.34%)
| Continental stock (showing only groups with more then 1%) | Percent |
|---|---|
| European | 88.34% |
| West Asian North African | 9.33% |
Reference Populations Used in Analysis
This analysis was performed using the following reference populations you selected. These populations form the basis for comparing your genetic data and determining ancestry percentages.
Population map with the smallest distance
This map visualizes the geographic locations of the populations that most closely match your genetic signature for each chromosome. Red markers indicate the population with the closest genetic match for each chromosome, while the heat map shows areas of genetic similarity concentration. This geographical representation helps visualize the regional origins of your ancestry.
Red markers represent populations with the top 1 Euclidean distance from each chromosome's results.
Most similar population (Top 1)
Other populations from the TOP 10
Heat Map:
* The intensity of the colors is proportional to the number of chromosomes,
for which a given population is in the TOP results.
Autosomal analysis for Chromosome 1
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 1:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.6721
Results of the nMonte algorithm (10% minimum value) Chromosome 1:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.6721
Results of the nMonte algorithm (1% minimum value) Chromosome 1:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.6729
nMonte Results Visualization (1% minimum value) - Chromosome 1
Geographic distribution of populations - Chromosome 1
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Niedersachsen_north: 1.6721
- DE_Niedersachsen: 1.7938
- DE_Frisian: 1.8354
- DE_Westfalen: 1.8466
- DE_Schleswig-Holstein: 1.8527
- DE_Mecklenburg_central-east: 1.8851
- DE_Niedersachsen_south: 1.9959
- DE_Vorpommern: 2.0428
- DE_Mecklenburg: 2.0981
- DE_Sachsen-Anhalt: 2.1284
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.810
Combination: 56.4% DE_Frisian + 43.6% DE_Schleswig-Holstein -
Distance: 1.815
Combination: 55.4% DE_Frisian + 44.6% DE_Westfalen -
Distance: 1.820
Combination: 85.5% DE_Frisian + 14.5% DE_Oberschwaben -
Distance: 1.822
Combination: 59.1% DE_Schleswig-Holstein + 40.9% DE_Mecklenburg_central-east -
Distance: 1.823
Combination: 89.1% DE_Frisian + 10.9% Austria_Tirol
Best combinations of 3 populations:
-
Distance: 2.095
Combination: 52.6% DE_Sachsen-Anhalt + 28.5% DE_Rheinland_Pfalz-east-of-Rhine + 18.8% German_Pommern_east
Best combinations of 4 populations:
Autosomal analysis for Chromosome 2
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 2:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.6265
Results of the nMonte algorithm (10% minimum value) Chromosome 2:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.6234
Results of the nMonte algorithm (1% minimum value) Chromosome 2:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.6228
nMonte Results Visualization (1% minimum value) - Chromosome 2
Geographic distribution of populations - Chromosome 2
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Luxembourg: 1.6737
- DE_Thuringen_central: 1.7518
- German_North_Moravia: 1.8363
- German_North_Bohemia: 1.8991
- DE_Niederbayern: 1.9149
- Austria_Burgenland: 1.9575
- German_West_Bohemia: 1.9601
- DE_Rheinland-Pfalz: 1.9667
- German_Sudetenland: 1.9738
- DE_Hessen: 1.9742
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.624
Combination: 67.9% Luxembourg + 32.1% German_North_Moravia -
Distance: 1.639
Combination: 35.3% DE_Thuringen_central + 64.7% Luxembourg -
Distance: 1.655
Combination: 86.6% Luxembourg + 13.4% German_Danzig -
Distance: 1.664
Combination: 94.2% Luxembourg + 5.8% Lithuanian_western_Zematija -
Distance: 1.664
Combination: 11.1% DE_Frisian + 88.9% Luxembourg
Best combinations of 3 populations:
-
Distance: 1.669
Combination: 88.5% Luxembourg + 10.0% German_North_Bohemia + 1.5% Slovakia_central -
Distance: 1.669
Combination: 5.9% DE_Mecklenburg + 92.8% Luxembourg + 1.3% Latvia_north-east -
Distance: 1.883
Combination: 65.6% DE_Niederbayern + 28.4% Austria_mixed + 6.0% German_Danzig -
Distance: 1.888
Combination: 25.2% DE_Vorpommern + 22.2% DE_Baden-Wurrtemberg + 52.6% DE_Niederbayern -
Distance: 1.902
Combination: 16.1% DE_Frisian + 42.7% DE_Rheinland-Pfalz + 41.1% German_Sudetenland
Best combinations of 4 populations:
-
Distance: 1.919
Combination: 4.0% DE_Westfalen + 52.8% DE_Hessen + 41.9% Austria_Steiermark + 1.3% German_Pommern -
Distance: 1.938
Combination: 18.1% DE_Mecklenburg_central-east + 1.4% DE_Thuringen + 79.1% Austria_Burgenland + 1.4% German_Pommern
Autosomal analysis for Chromosome 3
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 3:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.9311
Results of the nMonte algorithm (10% minimum value) Chromosome 3:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.9304
Results of the nMonte algorithm (1% minimum value) Chromosome 3:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.9293
nMonte Results Visualization (1% minimum value) - Chromosome 3
Geographic distribution of populations - Chromosome 3
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Sachsen-Anhalt: 1.9777
- DE_Vorpommern: 2.0624
- DE_Mecklenburg: 2.1082
- DE_Mecklenburg_central-east: 2.1306
- DE_Niederbayern: 2.1351
- DE_Niedersachsen: 2.1376
- DE_Niedersachsen_north: 2.1433
- German_Nieder_Schlesien_east: 2.1501
- German_Pommern: 2.2005
- German_northern_Ost_Preussen: 2.2089
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.945
Combination: 71.9% DE_Sachsen-Anhalt + 28.1% German_Nieder_Schlesien_east -
Distance: 1.974
Combination: 12.9% DE_Niedersachsen_north + 87.1% DE_Sachsen-Anhalt -
Distance: 1.977
Combination: 3.9% DE_Mecklenburg_central-east + 96.1% DE_Sachsen-Anhalt -
Distance: 2.024
Combination: 64.7% DE_Vorpommern + 35.3% German_Nieder_Schlesien_east -
Distance: 2.032
Combination: 64.9% DE_Vorpommern + 35.1% DE_Niederbayern
Best combinations of 3 populations:
-
Distance: 2.034
Combination: 38.5% DE_Niedersachsen_north + 45.6% DE_Niederbayern + 15.9% PL_Kashubian -
Distance: 2.041
Combination: 37.1% DE_Mecklenburg + 50.2% DE_Niederbayern + 12.7% PL_Kuyavia_&_SE_Pomerania -
Distance: 2.057
Combination: 72.7% DE_Niederbayern + 23.9% PL_Kuyavia_&_SE_Pomerania + 3.4% Latvia_north-east -
Distance: 2.064
Combination: 13.5% DE_Frisian + 69.5% DE_Niederbayern + 17.0% Lithuanian_western_Aukstota -
Distance: 2.074
Combination: 76.2% DE_Niedersachsen + 8.7% DE_Oberschwaben + 15.1% Latvia_north-east
Best combinations of 4 populations:
-
Distance: 2.076
Combination: 72.2% DE_Niedersachsen + 4.8% DE_Oberschwaben + 15.6% PL_Kuyavia_&_SE_Pomerania + 7.3% Lithuanian_Eastern_Aukstota -
Distance: 2.094
Combination: 66.8% DE_Niedersachsen_north + 9.6% DE_Mecklenburg_central-east + 13.8% DE_Thuringen_central + 9.8% Latvia_western -
Distance: 2.101
Combination: 22.8% DE_Niedersachsen_south + 53.3% DE_Mecklenburg_central-east + 3.1% IT_Sudtirol + 20.9% Lusatian_Sorbs -
Distance: 2.115
Combination: 9.8% DE_Brandenburg + 15.1% DE_Sachsen_Kamenz + 9.8% DE_Baden-Wurrtemberg + 65.2% German_Nieder_Schlesien_east -
Distance: 2.119
Combination: 79.9% DE_Mecklenburg_central-east + 7.5% DE_Thuringen + 8.2% Luxembourg + 4.4% German_northern_Ost_Preussen
Autosomal analysis for Chromosome 4
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 4:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.9664
Results of the nMonte algorithm (10% minimum value) Chromosome 4:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.9661
Results of the nMonte algorithm (1% minimum value) Chromosome 4:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.9661
nMonte Results Visualization (1% minimum value) - Chromosome 4
Geographic distribution of populations - Chromosome 4
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Thuringen_central: 1.9826
- German_North_Moravia: 2.0600
- Austria_Steiermark: 2.1243
- German_North_Bohemia: 2.1409
- DE_Niederbayern: 2.1687
- Austria_mixed: 2.1763
- Austria_Burgenland: 2.1811
- German_Sudetenland: 2.1948
- Luxembourg: 2.1951
- German_West_Bohemia: 2.2066
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.983
Combination: 98.8% DE_Thuringen_central + 1.2% Luxembourg -
Distance: 2.042
Combination: 26.9% DE_Niederbayern + 73.1% German_North_Moravia -
Distance: 2.050
Combination: 21.5% Austria_mixed + 78.5% German_North_Moravia -
Distance: 2.058
Combination: 8.2% Austria_Upper_and_Lower + 91.8% German_North_Moravia -
Distance: 2.060
Combination: 3.2% Austria_Karnten + 96.8% German_North_Moravia
Best combinations of 3 populations:
-
Distance: 2.019
Combination: 34.2% Luxembourg + 62.9% German_North_Moravia + 2.9% Lithuanian_Eastern_Aukstota -
Distance: 2.099
Combination: 49.8% DE_Niederbayern + 37.5% German_North_Bohemia + 12.7% Slovakia_central -
Distance: 2.104
Combination: 40.4% DE_Niederbayern + 55.5% German_North_Bohemia + 4.1% German_West_Bohemia -
Distance: 2.110
Combination: 60.0% DE_Niederbayern + 30.8% Austria_mixed + 9.2% Lithuanian_southern_Aukstota -
Distance: 2.113
Combination: 10.6% DE_Vorpommern + 68.2% Luxembourg + 21.2% German_north-east_Ost_Preussen
Best combinations of 4 populations:
-
Distance: 2.080
Combination: 33.0% DE_Niederbayern + 43.4% Luxembourg + 15.9% Slovakia_central + 7.7% Lithuanian_western_Aukstota -
Distance: 2.093
Combination: 1.9% Austria_Burgenland + 65.1% Luxembourg + 30.7% Slovakia_east + 2.3% Lithuanian_southern_Aukstota -
Distance: 2.096
Combination: 64.0% Luxembourg + 22.7% Slovakia_west + 11.6% PL_Slovincian + 1.6% PL_Suwalki -
Distance: 2.181
Combination: 17.6% DE_Vorpommern + 69.1% German_West_Bohemia + 5.2% Slovakia_central + 8.1% PL_Slovincian
Autosomal analysis for Chromosome 5
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 5:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.3425
Results of the nMonte algorithm (10% minimum value) Chromosome 5:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.3393
Results of the nMonte algorithm (1% minimum value) Chromosome 5:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.3387
nMonte Results Visualization (1% minimum value) - Chromosome 5
Geographic distribution of populations - Chromosome 5
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Frisian: 1.4000
- DE_Niedersachsen: 1.4532
- DE_Niedersachsen_south: 1.4623
- DE_Westfalen: 1.4828
- DE_Niedersachsen_north: 1.5032
- DE_Niederbayern: 1.5742
- DE_Schleswig-Holstein: 1.6028
- DE_Franken: 1.6604
- DE_Mecklenburg_central-east: 1.6676
- DE_Mecklenburg: 1.6967
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.339
Combination: 66.9% DE_Frisian + 33.1% DE_Niederbayern -
Distance: 1.369
Combination: 82.2% DE_Frisian + 17.8% Luxembourg -
Distance: 1.370
Combination: 85.8% DE_Frisian + 14.2% IT_Sudtirol -
Distance: 1.375
Combination: 81.3% DE_Frisian + 18.7% DE_Rheinland-Pfalz -
Distance: 1.378
Combination: 83.0% DE_Frisian + 17.0% DE_Nordrhein
Best combinations of 3 populations:
-
Distance: 1.390
Combination: 86.0% DE_Frisian + 1.0% DE_Westfalen + 13.0% German_West_Bohemia -
Distance: 1.596
Combination: 83.4% DE_Schleswig-Holstein + 9.2% DE_Saarland + 7.5% German_Neumark_east-Brandenburg
Best combinations of 4 populations:
Autosomal analysis for Chromosome 6
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 6:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.4694
Results of the nMonte algorithm (10% minimum value) Chromosome 6:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.4699
Results of the nMonte algorithm (1% minimum value) Chromosome 6:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.4692
nMonte Results Visualization (1% minimum value) - Chromosome 6
Geographic distribution of populations - Chromosome 6
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Niedersachsen_south: 1.5403
- DE_Niederbayern: 1.6005
- DE_Frisian: 1.6157
- DE_Westfalen: 1.6478
- DE_Niedersachsen: 1.7109
- DE_Rheinland-Pfalz: 1.7484
- German_North_Moravia: 1.7523
- Luxembourg: 1.7748
- DE_Franken: 1.7983
- DE_Vorpommern: 1.8092
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.520
Combination: 61.2% DE_Frisian + 38.8% DE_Rheinland-Pfalz -
Distance: 1.527
Combination: 27.9% DE_Frisian + 72.1% DE_Niedersachsen_south -
Distance: 1.544
Combination: 67.5% DE_Frisian + 32.5% DE_Thuringen_central -
Distance: 1.544
Combination: 73.5% DE_Frisian + 26.5% Austria_Steiermark -
Distance: 1.550
Combination: 72.8% DE_Frisian + 27.2% DE_Baden-Wurrtemberg
Best combinations of 3 populations:
-
Distance: 1.539
Combination: 66.2% DE_Frisian + 21.1% DE_Thuringen_central + 12.7% DE_Baden-Wurrtemberg -
Distance: 1.593
Combination: 13.2% DE_Vorpommern + 85.2% DE_Niederbayern + 1.7% German_Neumark_east-Brandenburg -
Distance: 1.599
Combination: 68.2% DE_Westfalen + 29.4% DE_Thuringen_central + 2.4% DE_Saarland -
Distance: 1.688
Combination: 25.1% DE_Niedersachsen_north + 28.5% DE_Hessen + 46.4% German_North_Moravia -
Distance: 1.690
Combination: 77.2% DE_Niedersachsen + 2.1% DE_Mecklenburg + 20.8% DE_Baden-Wurrtemberg
Best combinations of 4 populations:
Autosomal analysis for Chromosome 7
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 7:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.9322
Results of the nMonte algorithm (10% minimum value) Chromosome 7:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.9296
Results of the nMonte algorithm (1% minimum value) Chromosome 7:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.9296
nMonte Results Visualization (1% minimum value) - Chromosome 7
Geographic distribution of populations - Chromosome 7
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Brandenburg: 1.9800
- German_Nieder_Schlesien_east: 2.0008
- DE_Sachsen: 2.1245
- DE_Mecklenburg: 2.1533
- DE_Sachsen_Kamenz: 2.2147
- DE_Franken: 2.2301
- German_Danzig: 2.2316
- DE_Niedersachsen: 2.2410
- German_northern_Ost_Preussen: 2.2450
- DE_Thuringen_east: 2.2496
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.959
Combination: 25.4% DE_Niedersachsen_south + 74.6% German_Nieder_Schlesien_east -
Distance: 1.969
Combination: 23.7% DE_Niederbayern + 76.3% German_Nieder_Schlesien_east -
Distance: 1.984
Combination: 25.4% DE_Sachsen + 74.6% German_Nieder_Schlesien_east -
Distance: 1.992
Combination: 87.0% German_Nieder_Schlesien_east + 13.0% German_West_Bohemia -
Distance: 1.994
Combination: 8.1% DE_Saarland + 91.9% German_Nieder_Schlesien_east
Best combinations of 3 populations:
-
Distance: 2.112
Combination: 41.7% DE_Frisian + 44.3% DE_Franken + 14.1% Latvia_north-east -
Distance: 2.114
Combination: 21.2% DE_Mecklenburg_central-east + 77.5% DE_Sachsen + 1.3% PL_Wielkopolska -
Distance: 2.116
Combination: 50.0% DE_Frisian + 16.6% DE_Sachsen_Kamenz + 33.4% Austria_Steiermark -
Distance: 2.129
Combination: 60.3% DE_Mecklenburg + 35.4% DE_Franken + 4.3% Lithuanian_southern_Aukstota -
Distance: 2.135
Combination: 37.1% DE_Niedersachsen_north + 14.4% DE_Sachsen_Kamenz + 48.5% German_Danzig
Best combinations of 4 populations:
-
Distance: 2.106
Combination: 20.3% DE_Westfalen + 26.4% DE_Sachsen + 17.5% DE_Franken + 35.8% Lusatian_Sorbs -
Distance: 2.144
Combination: 57.6% DE_Niedersachsen + 27.3% German_Nieder_Schlesien_Glatz + 5.8% Czech + 9.3% Latvia_north-east -
Distance: 2.151
Combination: 19.6% DE_Niedersachsen + 70.5% DE_Mecklenburg + 8.2% German_Neumark_east-Brandenburg + 1.6% Lithuanian_southern_Aukstota -
Distance: 2.155
Combination: 40.2% DE_Niedersachsen + 2.5% DE_Mecklenburg_central-east + 41.9% DE_Franken + 15.4% Lithuanian_western_Aukstota -
Distance: 2.164
Combination: 49.9% DE_Niedersachsen + 9.8% DE_Franken + 34.5% German_Nieder_Schlesien + 5.8% Slovakia_central
Autosomal analysis for Chromosome 8
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 8:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.7088
Results of the nMonte algorithm (10% minimum value) Chromosome 8:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.7058
Results of the nMonte algorithm (1% minimum value) Chromosome 8:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.7041
nMonte Results Visualization (1% minimum value) - Chromosome 8
Geographic distribution of populations - Chromosome 8
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Lithuanian_southern_Aukstota: 1.8077
- PL_Kashubian: 1.8654
- PL_Wielkopolska: 1.8676
- Lusatian_Sorbs: 1.9072
- German_Danzig: 1.9089
- PL_Kuyavia_&_SE_Pomerania: 1.9244
- PL_Suwalki: 1.9255
- Lithuanian_Eastern_Aukstota: 1.9514
- Lithuanian_western_Aukstota: 1.9720
- Latvia_general: 1.9831
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.740
Combination: 57.5% Lusatian_Sorbs + 42.5% Latvia_north-east -
Distance: 1.760
Combination: 62.4% PL_Kashubian + 37.6% Latvia_north-east -
Distance: 1.773
Combination: 28.1% DE_Niederbayern + 71.9% Latvia_general -
Distance: 1.786
Combination: 15.3% DE_Sachsen + 84.7% Lithuanian_southern_Aukstota -
Distance: 1.792
Combination: 8.5% Luxembourg + 91.5% Lithuanian_southern_Aukstota
Best combinations of 3 populations:
-
Distance: 1.796
Combination: 1.4% DE_Saarland + 11.6% German_Nieder_Schlesien_east + 87.0% Lithuanian_southern_Aukstota -
Distance: 1.798
Combination: 10.6% DE_Rheinland-Pfalz + 27.5% Latvia_north-east + 62.0% Lithuanian_southern_Aukstota -
Distance: 1.799
Combination: 10.3% German_Nieder_Schlesien + 77.9% Lithuanian_southern_Aukstota + 11.8% PL_Suwalki -
Distance: 1.805
Combination: 3.8% DE_Sachsen_Kamenz + 1.7% DE_Vorpommern + 94.5% Lithuanian_southern_Aukstota -
Distance: 1.812
Combination: 7.8% German_Nieder_Schlesien + 37.5% Slovakia_east + 54.7% Latvia_general
Best combinations of 4 populations:
Autosomal analysis for Chromosome 9
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 9:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.7533
Results of the nMonte algorithm (10% minimum value) Chromosome 9:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.7507
Results of the nMonte algorithm (1% minimum value) Chromosome 9:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.7484
nMonte Results Visualization (1% minimum value) - Chromosome 9
Geographic distribution of populations - Chromosome 9
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Schleswig-Holstein: 1.8406
- DE_Mecklenburg_central-east: 1.8485
- German_West_Bohemia: 1.8511
- German_North_Moravia: 1.8518
- DE_Westfalen: 1.8686
- DE_Frisian: 1.8929
- DE_Mecklenburg: 1.9272
- DE_Niedersachsen_north: 1.9671
- DE_Brandenburg: 1.9875
- DE_Vorpommern: 2.0103
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.762
Combination: 45.1% DE_Frisian + 54.9% German_West_Bohemia -
Distance: 1.774
Combination: 44.6% DE_Frisian + 55.4% German_North_Moravia -
Distance: 1.776
Combination: 50.4% DE_Mecklenburg_central-east + 49.6% German_West_Bohemia -
Distance: 1.784
Combination: 47.2% DE_Westfalen + 52.8% German_North_Moravia -
Distance: 1.806
Combination: 65.4% DE_Frisian + 34.6% Austria_Burgenland
Best combinations of 3 populations:
-
Distance: 1.790
Combination: 7.6% DE_Westfalen + 66.2% DE_Mecklenburg_central-east + 26.2% Luxembourg -
Distance: 1.794
Combination: 38.9% DE_Frisian + 41.6% DE_Schleswig-Holstein + 19.5% Slovakia_central -
Distance: 1.799
Combination: 49.2% DE_Schleswig-Holstein + 48.6% DE_Mecklenburg_central-east + 2.2% DE_Baden-Wurrtemberg -
Distance: 1.799
Combination: 49.6% DE_Schleswig-Holstein + 48.5% DE_Mecklenburg_central-east + 1.9% Swiss_German -
Distance: 1.800
Combination: 71.9% DE_Schleswig-Holstein + 2.6% DE_Rheinland-Pfalz + 25.5% German_Danzig
Best combinations of 4 populations:
-
Distance: 1.813
Combination: 31.8% DE_Frisian + 50.2% DE_Schleswig-Holstein + 12.2% German_Sudetenland + 5.7% PL_Masurian -
Distance: 1.905
Combination: 35.1% DE_Niedersachsen_north + 48.5% DE_Mecklenburg + 7.7% DE_Rheinland_Pfalz-east-of-Rhine + 8.7% Austria_Karnten -
Distance: 1.925
Combination: 64.7% DE_Niedersachsen_north + 25.4% DE_Oberpfalz + 7.4% German_Nieder_Schlesien_Glatz + 2.5% Lithuanian_western_Zematija -
Distance: 1.935
Combination: 63.4% DE_Niedersachsen_north + 12.9% DE_Rheinland_Pfalz-east-of-Rhine + 22.2% German_Pommern_east + 1.4% Slovakia_east -
Distance: 1.940
Combination: 32.0% DE_Niedersachsen + 29.2% DE_Vorpommern + 25.7% Luxembourg + 13.2% German_Nieder_Schlesien
Autosomal analysis for Chromosome 10
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 10:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.8915
Results of the nMonte algorithm (10% minimum value) Chromosome 10:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.8824
Results of the nMonte algorithm (1% minimum value) Chromosome 10:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.8816
nMonte Results Visualization (1% minimum value) - Chromosome 10
Geographic distribution of populations - Chromosome 10
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- German_North_Moravia: 1.9535
- DE_Thuringen_central: 2.0308
- German_West_Bohemia: 2.0827
- DE_Vorpommern: 2.0884
- German_North_Bohemia: 2.0918
- DE_Niederbayern: 2.1267
- Luxembourg: 2.1551
- DE_Mecklenburg: 2.1575
- German_Sudetenland: 2.1609
- DE_Sachsen: 2.1654
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.930
Combination: 24.0% Luxembourg + 76.0% German_North_Moravia -
Distance: 1.948
Combination: 14.5% DE_Niederbayern + 85.5% German_North_Moravia -
Distance: 1.950
Combination: 86.8% German_North_Moravia + 13.2% German_West_Bohemia -
Distance: 1.953
Combination: 6.5% DE_Vorpommern + 93.5% German_North_Moravia -
Distance: 1.953
Combination: 2.6% DE_Westfalen + 97.4% German_North_Moravia
Best combinations of 3 populations:
-
Distance: 2.001
Combination: 47.4% DE_Frisian + 50.3% Luxembourg + 2.4% German_Nieder_Schlesien_east -
Distance: 2.017
Combination: 7.1% DE_Niedersachsen + 82.3% DE_Thuringen_central + 10.6% PL_Suwalki -
Distance: 2.035
Combination: 32.2% DE_Hessen + 42.2% German_West_Bohemia + 25.6% PL_Masurian -
Distance: 2.047
Combination: 55.7% Luxembourg + 42.2% German_Pommern + 2.1% Lithuanian_Eastern_Aukstota -
Distance: 2.053
Combination: 32.1% DE_Frisian + 17.0% DE_Mecklenburg + 50.9% DE_Niederbayern
Best combinations of 4 populations:
-
Distance: 2.033
Combination: 19.8% DE_Brandenburg + 60.2% Luxembourg + 13.3% German_Pommern_east + 6.7% Lithuanian_Zematija -
Distance: 2.037
Combination: 16.3% DE_Niederbayern + 32.2% Luxembourg + 25.7% German_North_Bohemia + 25.8% German_Pommern -
Distance: 2.062
Combination: 27.5% DE_Westfalen + 18.1% DE_Niederbayern + 43.0% Luxembourg + 11.4% Lusatian_Sorbs -
Distance: 2.077
Combination: 9.1% DE_Niedersachsen + 20.2% Austria_Steiermark + 56.0% Luxembourg + 14.7% Slovakia_central -
Distance: 2.080
Combination: 66.7% DE_Niederbayern + 11.3% German_Neumark_east-Brandenburg + 17.2% German_Sudetenland + 4.9% Lithuanian_Eastern_Aukstota
Autosomal analysis for Chromosome 11
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 11:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.7129
Results of the nMonte algorithm (10% minimum value) Chromosome 11:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.7084
Results of the nMonte algorithm (1% minimum value) Chromosome 11:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.7078
nMonte Results Visualization (1% minimum value) - Chromosome 11
Geographic distribution of populations - Chromosome 11
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Vorpommern: 1.7346
- DE_Sachsen-Anhalt: 1.7708
- DE_Mecklenburg: 1.7982
- DE_Sachsen_Kamenz: 1.8231
- German_Pommern: 1.8688
- DE_Mecklenburg_central-east: 1.8760
- DE_Thuringen_east: 1.8854
- DE_Niedersachsen: 1.8926
- DE_Niedersachsen_north: 1.8974
- DE_Thuringen: 1.9122
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.732
Combination: 14.7% DE_Sachsen_Kamenz + 85.3% DE_Vorpommern -
Distance: 1.734
Combination: 97.7% DE_Vorpommern + 2.3% PL_Kuyavia_&_SE_Pomerania -
Distance: 1.737
Combination: 71.0% DE_Sachsen-Anhalt + 29.0% DE_Niederbayern -
Distance: 1.746
Combination: 40.7% DE_Mecklenburg + 59.3% DE_Sachsen-Anhalt -
Distance: 1.753
Combination: 76.9% DE_Sachsen-Anhalt + 23.1% German_Neumark_east-Brandenburg
Best combinations of 3 populations:
-
Distance: 1.732
Combination: 12.1% DE_Niedersachsen + 78.3% DE_Vorpommern + 9.6% Lusatian_Sorbs -
Distance: 1.732
Combination: 59.2% DE_Sachsen-Anhalt + 30.8% DE_Niederbayern + 10.0% PL_Kashubian -
Distance: 1.744
Combination: 19.4% DE_Niedersachsen_north + 61.9% DE_Sachsen-Anhalt + 18.7% German_Neumark_east-Brandenburg -
Distance: 1.757
Combination: 55.3% DE_Niedersachsen_north + 22.2% German_Nieder_Schlesien_east + 22.5% Lusatian_Sorbs -
Distance: 1.760
Combination: 57.9% DE_Niedersachsen_north + 5.9% Luxembourg + 36.2% PL_Wielkopolska
Best combinations of 4 populations:
-
Distance: 1.817
Combination: 59.6% DE_Niedersachsen_north + 19.0% DE_Oberschwaben + 5.1% Slovakia_central + 16.2% PL_Masurian -
Distance: 1.839
Combination: 60.1% DE_Mecklenburg_central-east + 17.2% Austria_Salzburg + 11.2% German_Neumark_east-Brandenburg + 11.6% PL_Kashubian -
Distance: 1.844
Combination: 69.2% DE_Mecklenburg_central-east + 18.5% DE_Sachsen-Anhalt_south + 7.1% DE_Oberpfalz + 5.2% Slovakia_east -
Distance: 1.864
Combination: 16.8% DE_Thuringen + 3.0% Austria_Salzburg + 76.5% German_Pommern + 3.7% Lusatian_Sorbs
Autosomal analysis for Chromosome 12
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 12:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.9075
Results of the nMonte algorithm (10% minimum value) Chromosome 12:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.9116
Results of the nMonte algorithm (1% minimum value) Chromosome 12:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.9062
nMonte Results Visualization (1% minimum value) - Chromosome 12
Geographic distribution of populations - Chromosome 12
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Austria_Burgenland: 1.9468
- German_Nieder_Schlesien: 1.9496
- Austria_Upper_and_Lower: 1.9693
- Austria_mixed: 2.0435
- IT_Sudtirol: 2.0609
- Austria_Tirol: 2.1031
- German_North_Bohemia: 2.1045
- DE_Baden-Wurrtemberg: 2.1112
- German_West_Bohemia: 2.1246
- DE_Oberschwaben: 2.1258
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.915
Combination: 44.4% Austria_Upper_and_Lower + 55.6% German_Nieder_Schlesien -
Distance: 1.928
Combination: 59.9% Austria_Burgenland + 40.1% Austria_Upper_and_Lower -
Distance: 1.940
Combination: 19.2% DE_Baden-Wurrtemberg + 80.8% German_Nieder_Schlesien -
Distance: 1.943
Combination: 95.1% Austria_Burgenland + 4.9% Lithuanian_southern_Aukstota -
Distance: 1.944
Combination: 12.1% Luxembourg + 87.9% German_Nieder_Schlesien
Best combinations of 3 populations:
-
Distance: 1.944
Combination: 85.4% Austria_Burgenland + 13.6% IT_Sudtirol + 1.0% German_Nieder_Schlesien_east -
Distance: 1.995
Combination: 57.0% IT_Sudtirol + 1.2% German_Nieder_Schlesien_east + 41.8% German_North_Bohemia -
Distance: 2.031
Combination: 52.2% Austria_Tirol + 38.8% German_West_Bohemia + 9.0% Czech -
Distance: 2.035
Combination: 50.7% Austria_mixed + 37.5% Swiss_German + 11.8% Latvia_western -
Distance: 2.048
Combination: 22.9% DE_Oberpfalz + 74.1% IT_Sudtirol + 3.0% German_Pommern
Best combinations of 4 populations:
-
Distance: 2.047
Combination: 41.5% DE_Oberschwaben + 7.6% Luxembourg + 29.5% German_West_Bohemia + 21.4% Slovakia_east -
Distance: 2.052
Combination: 1.9% DE_Hessen + 72.3% Austria_Tirol + 16.8% German_Sudetenland + 9.0% Lithuanian_Zematija
Autosomal analysis for Chromosome 13
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 13:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.8831
Results of the nMonte algorithm (10% minimum value) Chromosome 13:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.8798
Results of the nMonte algorithm (1% minimum value) Chromosome 13:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.8789
nMonte Results Visualization (1% minimum value) - Chromosome 13
Geographic distribution of populations - Chromosome 13
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Frisian: 1.9286
- DE_Westfalen: 1.9925
- DE_Niedersachsen_south: 2.0098
- DE_Niederbayern: 2.0433
- DE_Mecklenburg: 2.0733
- DE_Niedersachsen: 2.0737
- DE_Schleswig-Holstein: 2.1028
- DE_Niedersachsen_north: 2.1328
- German_West_Bohemia: 2.1429
- DE_Franken: 2.2193
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.908
Combination: 77.5% DE_Frisian + 22.5% German_West_Bohemia -
Distance: 1.923
Combination: 79.7% DE_Frisian + 20.3% DE_Niedersachsen_south -
Distance: 1.924
Combination: 89.4% DE_Frisian + 10.6% DE_Franken -
Distance: 1.926
Combination: 92.4% DE_Frisian + 7.6% DE_Rheinland-Pfalz -
Distance: 1.926
Combination: 82.9% DE_Frisian + 17.1% DE_Westfalen
Best combinations of 3 populations:
-
Distance: 1.987
Combination: 13.2% DE_Niedersachsen_south + 78.2% DE_Westfalen + 8.6% Luxembourg -
Distance: 2.041
Combination: 27.4% DE_Schleswig-Holstein + 50.0% DE_Mecklenburg + 22.6% German_West_Bohemia -
Distance: 2.136
Combination: 15.5% DE_Brandenburg + 8.1% DE_Franken + 76.4% German_West_Bohemia -
Distance: 2.215
Combination: 14.8% DE_Sachsen + 4.8% DE_Thuringen_central + 80.4% DE_Franken
Best combinations of 4 populations:
Autosomal analysis for Chromosome 14
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 14:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.9917
Results of the nMonte algorithm (10% minimum value) Chromosome 14:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.9858
Results of the nMonte algorithm (1% minimum value) Chromosome 14:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.9857
nMonte Results Visualization (1% minimum value) - Chromosome 14
Geographic distribution of populations - Chromosome 14
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- German_North_Moravia: 2.0630
- German_Neumark_east-Brandenburg: 2.0803
- DE_Niedersachsen_south: 2.0928
- DE_Sachsen_Kamenz: 2.1196
- DE_Niedersachsen: 2.1218
- DE_Vorpommern: 2.1391
- DE_Niedersachsen_north: 2.1541
- DE_Mecklenburg: 2.1642
- DE_Thuringen: 2.1724
- DE_Mecklenburg_central-east: 2.1785
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 2.032
Combination: 30.0% DE_Niederbayern + 70.0% German_Neumark_east-Brandenburg -
Distance: 2.044
Combination: 25.2% DE_Oberbayern + 74.8% German_Neumark_east-Brandenburg -
Distance: 2.044
Combination: 41.1% DE_Frisian + 58.9% DE_Sachsen_Kamenz -
Distance: 2.047
Combination: 32.1% DE_Sachsen_Kamenz + 67.9% German_North_Moravia -
Distance: 2.047
Combination: 27.5% DE_Schleswig-Holstein + 72.5% German_Neumark_east-Brandenburg
Best combinations of 3 populations:
-
Distance: 2.024
Combination: 26.4% DE_Westfalen + 8.7% DE_Rheinland-Pfalz + 65.0% German_Neumark_east-Brandenburg -
Distance: 2.070
Combination: 81.0% DE_Niedersachsen_south + 17.0% German_Nieder_Schlesien_east + 2.0% PL_Slovincian -
Distance: 2.085
Combination: 55.9% DE_Niedersachsen + 23.1% DE_Thuringen_east + 21.0% DE_Vorpommern -
Distance: 2.087
Combination: 77.9% DE_Niedersachsen + 3.2% DE_Thuringen_central + 18.9% PL_Wielkopolska -
Distance: 2.087
Combination: 93.0% DE_Niedersachsen_south + 1.2% DE_Thuringen_central + 5.8% Lithuanian_southern_Aukstota
Best combinations of 4 populations:
-
Distance: 2.102
Combination: 68.1% DE_Niedersachsen_north + 17.8% DE_Thuringen_central + 3.7% German_Nieder_Schlesien_east + 10.4% PL_Wielkopolska -
Distance: 2.111
Combination: 17.0% DE_Frisian + 64.2% DE_Niedersachsen + 4.7% DE_Niederbayern + 14.0% Austria_mixed -
Distance: 2.116
Combination: 61.2% DE_Frisian + 2.9% DE_Mecklenburg_central-east + 19.6% DE_Oberschwaben + 16.3% PL_Slovincian -
Distance: 2.127
Combination: 69.3% DE_Niedersachsen_north + 10.5% DE_Mecklenburg_central-east + 10.6% German_Nieder_Schlesien_Glatz + 9.5% Slovakia_west -
Distance: 2.129
Combination: 77.2% DE_Niedersachsen_north + 12.4% DE_Sachsen-Anhalt_south + 1.5% Luxembourg + 9.0% Slovakia_east
Autosomal analysis for Chromosome 15
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 15:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.9000
Results of the nMonte algorithm (10% minimum value) Chromosome 15:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.8991
Results of the nMonte algorithm (1% minimum value) Chromosome 15:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.8991
nMonte Results Visualization (1% minimum value) - Chromosome 15
Geographic distribution of populations - Chromosome 15
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- IT_Sudtirol: 1.9131
- Austria_Upper_and_Lower: 1.9310
- Austria_Tirol: 2.0085
- Swiss_German: 2.0482
- DE_Oberschwaben: 2.0619
- DE_Baden-Wurrtemberg: 2.1010
- DE_Oberbayern: 2.1021
- Austria_Burgenland: 2.1240
- DE_Saarland: 2.1376
- DE_Oberpfalz: 2.1854
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.899
Combination: 39.8% Austria_Upper_and_Lower + 60.2% IT_Sudtirol -
Distance: 2.008
Combination: 2.0% Austria_Steiermark + 98.0% Austria_Tirol -
Distance: 2.009
Combination: 1.3% DE_Rheinland_Pfalz-east-of-Rhine + 98.7% Austria_Tirol -
Distance: 2.046
Combination: 13.6% Austria_Burgenland + 86.4% Swiss_German -
Distance: 2.061
Combination: 9.8% DE_Baden-Wurrtemberg + 90.2% DE_Oberschwaben
Best combinations of 3 populations:
Best combinations of 4 populations:
Autosomal analysis for Chromosome 16
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 16:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 2.0519
Results of the nMonte algorithm (10% minimum value) Chromosome 16:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 2.0490
Results of the nMonte algorithm (1% minimum value) Chromosome 16:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 2.0488
nMonte Results Visualization (1% minimum value) - Chromosome 16
Geographic distribution of populations - Chromosome 16
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- German_North_Moravia: 2.1145
- DE_Schleswig-Holstein: 2.1256
- DE_Westfalen: 2.1419
- DE_Mecklenburg_central-east: 2.1587
- DE_Vorpommern: 2.1732
- DE_Nordrhein: 2.1975
- DE_Rheinland-Pfalz: 2.2179
- DE_Frisian: 2.2235
- DE_Niedersachsen_north: 2.2372
- DE_Niedersachsen_south: 2.2373
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 2.054
Combination: 47.9% DE_Schleswig-Holstein + 52.1% German_North_Moravia -
Distance: 2.065
Combination: 45.6% DE_Nordrhein + 54.4% DE_Mecklenburg_central-east -
Distance: 2.077
Combination: 33.3% DE_Frisian + 66.7% German_North_Moravia -
Distance: 2.086
Combination: 47.3% DE_Frisian + 52.7% DE_Nordrhein -
Distance: 2.091
Combination: 29.9% DE_Rheinland-Pfalz + 70.1% German_North_Moravia
Best combinations of 3 populations:
-
Distance: 2.083
Combination: 40.9% DE_Mecklenburg_central-east + 11.9% Austria_Tirol + 47.2% German_North_Moravia -
Distance: 2.083
Combination: 42.2% DE_Frisian + 49.4% DE_Nordrhein + 8.4% German_Pommern_east -
Distance: 2.093
Combination: 12.1% DE_Frisian + 57.0% DE_Mecklenburg_central-east + 30.9% Luxembourg -
Distance: 2.095
Combination: 54.6% DE_Frisian + 42.2% Swiss_German + 3.2% German_Pommern -
Distance: 2.097
Combination: 1.6% DE_Sachsen-Anhalt + 24.0% DE_Rheinland_Pfalz-east-of-Rhine + 74.4% German_North_Moravia
Best combinations of 4 populations:
-
Distance: 2.091
Combination: 26.1% DE_Westfalen + 42.8% DE_Mecklenburg_central-east + 25.1% Luxembourg + 6.0% German_Neumark_east-Brandenburg -
Distance: 2.147
Combination: 33.9% DE_Niedersachsen_north + 48.5% DE_Vorpommern + 8.8% Austria_Steiermark + 8.8% IT_Sudtirol -
Distance: 2.177
Combination: 56.4% DE_Frisian + 18.4% DE_Niedersachsen_south + 16.7% German_Pommern_east + 8.5% Slovakia_west -
Distance: 2.196
Combination: 55.4% DE_Niedersachsen_south + 40.5% DE_Oberbayern + 2.8% Luxembourg + 1.3% PL_Suwalki -
Distance: 2.202
Combination: 49.7% DE_Niedersachsen_south + 21.1% DE_Oberpfalz + 2.4% IT_Sudtirol + 26.8% German_Pommern
Autosomal analysis for Chromosome 17
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 17:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.4486
Results of the nMonte algorithm (10% minimum value) Chromosome 17:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.4417
Results of the nMonte algorithm (1% minimum value) Chromosome 17:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.4385
nMonte Results Visualization (1% minimum value) - Chromosome 17
Geographic distribution of populations - Chromosome 17
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Niedersachsen_north: 1.5156
- DE_Schleswig-Holstein: 1.5292
- DE_Mecklenburg_central-east: 1.5458
- DE_Vorpommern: 1.5737
- DE_Frisian: 1.5811
- DE_Niedersachsen: 1.5945
- DE_Westfalen: 1.6170
- DE_Brandenburg: 1.6655
- German_Pommern: 1.6723
- German_northern_Ost_Preussen: 1.6740
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.467
Combination: 73.6% DE_Schleswig-Holstein + 26.4% German_Nieder_Schlesien_east -
Distance: 1.474
Combination: 87.4% DE_Niedersachsen_north + 12.6% Latvia_western -
Distance: 1.481
Combination: 76.2% DE_Niedersachsen_north + 23.8% German_Nieder_Schlesien -
Distance: 1.490
Combination: 81.1% DE_Niedersachsen_north + 18.9% German_North_Bohemia -
Distance: 1.495
Combination: 75.1% DE_Niedersachsen_north + 24.9% German_northern_Ost_Preussen
Best combinations of 3 populations:
-
Distance: 1.489
Combination: 52.5% DE_Niedersachsen_north + 38.8% DE_Schleswig-Holstein + 8.8% Lithuanian_southern_Aukstota -
Distance: 1.494
Combination: 73.8% DE_Niedersachsen_north + 21.6% German_northern_Ost_Preussen + 4.6% German_West_Bohemia -
Distance: 1.496
Combination: 37.8% DE_Frisian + 44.3% DE_Schleswig-Holstein + 17.9% German_Nieder_Schlesien_Glatz -
Distance: 1.500
Combination: 66.7% DE_Frisian + 25.1% German_Nieder_Schlesien_east + 8.2% German_northern_Ost_Preussen -
Distance: 1.504
Combination: 83.9% DE_Schleswig-Holstein + 7.1% Austria_Burgenland + 9.0% Lithuanian_southern_Aukstota
Best combinations of 4 populations:
-
Distance: 1.549
Combination: 68.2% DE_Frisian + 15.3% DE_Westfalen + 5.6% DE_Baden-Wurrtemberg + 11.0% PL_Kuyavia_&_SE_Pomerania -
Distance: 1.565
Combination: 71.1% DE_Niedersachsen + 23.3% DE_Brandenburg + 2.2% DE_Thuringen_central + 3.4% Lithuanian_western_Aukstota
Autosomal analysis for Chromosome 18
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 18:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 2.1709
Results of the nMonte algorithm (10% minimum value) Chromosome 18:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 2.1703
Results of the nMonte algorithm (1% minimum value) Chromosome 18:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 2.1690
nMonte Results Visualization (1% minimum value) - Chromosome 18
Geographic distribution of populations - Chromosome 18
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Niedersachsen_north: 2.1940
- DE_Schleswig-Holstein: 2.2169
- DE_Mecklenburg_central-east: 2.2511
- DE_Niedersachsen: 2.3082
- DE_Westfalen: 2.3277
- DE_Frisian: 2.3284
- German_West_Bohemia: 2.3503
- DE_Vorpommern: 2.3644
- German_Nieder_Schlesien_Glatz: 2.3979
- DE_Brandenburg: 2.4100
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 2.171
Combination: 76.2% DE_Niedersachsen_north + 23.8% German_Nieder_Schlesien_Glatz -
Distance: 2.175
Combination: 83.8% DE_Niedersachsen_north + 16.2% IT_Sudtirol -
Distance: 2.181
Combination: 78.4% DE_Niedersachsen_north + 21.6% German_West_Bohemia -
Distance: 2.183
Combination: 84.6% DE_Niedersachsen_north + 15.4% Austria_Burgenland -
Distance: 2.190
Combination: 80.5% DE_Niedersachsen_north + 19.5% DE_Mecklenburg_central-east
Best combinations of 3 populations:
-
Distance: 2.180
Combination: 82.5% DE_Niedersachsen_north + 13.4% Austria_Burgenland + 4.1% Latvia_western -
Distance: 2.216
Combination: 1.9% DE_Frisian + 94.0% DE_Schleswig-Holstein + 4.1% Austria_Burgenland -
Distance: 2.238
Combination: 59.7% DE_Frisian + 23.7% Austria_Tirol + 16.6% German_West_Bohemia -
Distance: 2.251
Combination: 54.7% DE_Frisian + 10.6% Austria_Burgenland + 34.7% German_West_Bohemia -
Distance: 2.270
Combination: 58.2% DE_Niedersachsen + 2.1% DE_Vorpommern + 39.8% German_West_Bohemia
Best combinations of 4 populations:
-
Distance: 2.270
Combination: 57.9% DE_Niedersachsen + 1.2% Austria_Tirol + 2.8% German_Pommern_east + 38.1% German_West_Bohemia -
Distance: 2.303
Combination: 74.1% DE_Westfalen + 2.9% DE_Sachsen-Anhalt + 18.1% Austria_Tirol + 4.8% Lithuanian_Eastern_Aukstota -
Distance: 2.343
Combination: 18.3% DE_Brandenburg + 34.2% DE_Sachsen-Anhalt + 9.9% Austria_Tirol + 37.5% German_Nieder_Schlesien_Glatz
Autosomal analysis for Chromosome 19
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 19:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.5123
Results of the nMonte algorithm (10% minimum value) Chromosome 19:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.5127
Results of the nMonte algorithm (1% minimum value) Chromosome 19:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.5121
nMonte Results Visualization (1% minimum value) - Chromosome 19
Geographic distribution of populations - Chromosome 19
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Niederbayern: 1.5392
- DE_Frisian: 1.7862
- DE_Rheinland-Pfalz: 1.8136
- German_West_Bohemia: 1.8252
- DE_Niedersachsen_south: 1.8257
- DE_Westfalen: 1.8578
- DE_Hessen: 1.8579
- DE_Franken: 1.8785
- DE_Niedersachsen: 1.9023
- Luxembourg: 1.9255
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.512
Combination: 23.2% DE_Frisian + 76.8% DE_Niederbayern -
Distance: 1.656
Combination: 52.5% DE_Frisian + 47.5% DE_Rheinland-Pfalz -
Distance: 1.659
Combination: 59.6% DE_Frisian + 40.4% Luxembourg -
Distance: 1.694
Combination: 67.0% DE_Frisian + 33.0% Swiss_German -
Distance: 1.734
Combination: 78.9% DE_Frisian + 21.1% IT_Sudtirol
Best combinations of 3 populations:
-
Distance: 1.753
Combination: 44.7% DE_Niedersachsen_south + 18.8% Luxembourg + 36.5% German_West_Bohemia -
Distance: 1.753
Combination: 70.6% DE_Frisian + 11.4% DE_Niedersachsen_south + 18.0% German_North_Bohemia -
Distance: 1.755
Combination: 75.8% DE_Frisian + 15.2% DE_Oberschwaben + 9.0% German_North_Moravia -
Distance: 1.780
Combination: 10.2% DE_Mecklenburg + 57.6% DE_Rheinland-Pfalz + 32.2% German_West_Bohemia -
Distance: 1.790
Combination: 21.1% DE_Brandenburg + 76.9% DE_Rheinland-Pfalz + 2.1% German_North_Moravia
Best combinations of 4 populations:
Autosomal analysis for Chromosome 20
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 20:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 2.1454
Results of the nMonte algorithm (10% minimum value) Chromosome 20:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 2.1422
Results of the nMonte algorithm (1% minimum value) Chromosome 20:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 2.1413
nMonte Results Visualization (1% minimum value) - Chromosome 20
Geographic distribution of populations - Chromosome 20
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Austria_Upper_and_Lower: 2.1725
- German_Nieder_Schlesien_Glatz: 2.2335
- Austria_Salzburg: 2.2597
- DE_Rheinland_Pfalz-east-of-Rhine: 2.2786
- German_Sudetenland: 2.2839
- IT_Sudtirol: 2.3039
- DE_Hessen: 2.3070
- Austria_Tirol: 2.3192
- DE_Nordrhein: 2.3338
- DE_Oberpfalz: 2.3341
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 2.152
Combination: 22.1% DE_Schleswig-Holstein + 77.9% Austria_Upper_and_Lower -
Distance: 2.166
Combination: 89.0% Austria_Upper_and_Lower + 11.0% German_Neumark_east-Brandenburg -
Distance: 2.168
Combination: 94.9% Austria_Upper_and_Lower + 5.1% Latvia_western -
Distance: 2.171
Combination: 97.2% Austria_Upper_and_Lower + 2.8% Lithuanian_western_Zematija -
Distance: 2.172
Combination: 94.0% Austria_Upper_and_Lower + 6.0% Slovakia_west
Best combinations of 3 populations:
-
Distance: 2.165
Combination: 8.1% DE_Niedersachsen_north + 88.3% Austria_Upper_and_Lower + 3.5% Latvia_general -
Distance: 2.184
Combination: 54.1% DE_Rheinland_Pfalz-east-of-Rhine + 29.9% Austria_Salzburg + 16.0% Latvia_western -
Distance: 2.195
Combination: 44.6% Austria_Salzburg + 54.1% German_Nieder_Schlesien_Glatz + 1.3% Latvia_general -
Distance: 2.199
Combination: 70.2% DE_Rheinland_Pfalz-east-of-Rhine + 19.9% German_Nieder_Schlesien_east + 9.9% PL_Masurian -
Distance: 2.203
Combination: 71.2% DE_Rheinland_Pfalz-east-of-Rhine + 12.1% Austria_Burgenland + 16.7% Lithuanian_western_Zematija
Best combinations of 4 populations:
-
Distance: 2.194
Combination: 26.2% DE_Schleswig-Holstein + 54.1% IT_Sudtirol + 2.9% German_North_Moravia + 16.9% German_north-east_Ost_Preussen -
Distance: 2.205
Combination: 33.6% DE_Hessen + 6.4% Swiss_German + 55.2% German_Nieder_Schlesien_Glatz + 4.8% Latvia_general -
Distance: 2.219
Combination: 35.2% DE_Rheinland_Pfalz-east-of-Rhine + 23.7% Austria_Salzburg + 27.1% IT_Sudtirol + 14.0% German_Pommern_east -
Distance: 2.226
Combination: 54.3% Austria_Tirol + 4.2% German_Neumark_east-Brandenburg + 38.3% German_North_Moravia + 3.2% PL_Slovincian -
Distance: 2.237
Combination: 3.1% DE_Franken + 39.5% Austria_Tirol + 37.7% IT_Sudtirol + 19.7% Lithuanian_southern_Aukstota
Autosomal analysis for Chromosome 21
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 21:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 2.4263
Results of the nMonte algorithm (10% minimum value) Chromosome 21:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 2.4262
Results of the nMonte algorithm (1% minimum value) Chromosome 21:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 2.4260
nMonte Results Visualization (1% minimum value) - Chromosome 21
Geographic distribution of populations - Chromosome 21
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Niedersachsen: 2.4314
- DE_Niedersachsen_north: 2.4383
- DE_Frisian: 2.4644
- DE_Westfalen: 2.5147
- DE_Niedersachsen_south: 2.5532
- DE_Schleswig-Holstein: 2.6270
- DE_Mecklenburg_central-east: 2.7532
- DE_Franken: 2.8254
- DE_Niederbayern: 2.8399
- DE_Mecklenburg: 2.8525
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 2.426
Combination: 26.8% DE_Frisian + 73.2% DE_Niedersachsen -
Distance: 2.433
Combination: 28.9% DE_Frisian + 71.1% DE_Niedersachsen_north -
Distance: 2.462
Combination: 82.8% DE_Frisian + 17.2% DE_Westfalen -
Distance: 2.734
Combination: 23.5% DE_Nordrhein + 76.5% DE_Mecklenburg_central-east -
Distance: 2.748
Combination: 87.3% DE_Mecklenburg_central-east + 12.7% DE_Hessen
Best combinations of 3 populations:
Best combinations of 4 populations:
Autosomal analysis for Chromosome 22
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 22:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.6810
Results of the nMonte algorithm (10% minimum value) Chromosome 22:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.6683
Results of the nMonte algorithm (1% minimum value) Chromosome 22:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.6677
nMonte Results Visualization (1% minimum value) - Chromosome 22
Geographic distribution of populations - Chromosome 22
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- DE_Niedersachsen_north: 1.7127
- DE_Frisian: 1.7154
- DE_Mecklenburg_central-east: 1.7434
- DE_Westfalen: 1.7835
- DE_Schleswig-Holstein: 1.7923
- DE_Niedersachsen: 1.8383
- DE_Brandenburg: 1.8679
- DE_Mecklenburg: 1.8978
- DE_Niedersachsen_south: 1.9611
- German_northern_Ost_Preussen: 2.0018
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.681
Combination: 89.8% DE_Frisian + 10.2% Latvia_north-east -
Distance: 1.684
Combination: 88.1% DE_Frisian + 11.9% PL_Suwalki -
Distance: 1.702
Combination: 92.3% DE_Frisian + 7.7% Lithuanian_western_Aukstota -
Distance: 1.702
Combination: 93.3% DE_Niedersachsen_north + 6.7% Lithuanian_Zematija -
Distance: 1.704
Combination: 93.3% DE_Frisian + 6.7% Lithuanian_Eastern_Aukstota
Best combinations of 3 populations:
-
Distance: 1.777
Combination: 30.9% DE_Schleswig-Holstein + 57.4% DE_Westfalen + 11.8% DE_Mecklenburg -
Distance: 1.821
Combination: 85.0% DE_Niedersachsen + 10.2% German_Neumark_east-Brandenburg + 4.8% Lithuanian_western_Aukstota