LM Genetics Logo

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 (91.52%)

Continental stock (showing only groups with more then 1%)Percent
European91.52%
West Asian North African6.18%

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.

Heat Map settings


Leaflet © OpenStreetMap

Most similar population (Top 1)

Other populations from the TOP 10

Heat Map:

Lower density Higher density

* 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.

DE_Saarland 75.00%
UK_Scotland_Highlands 25.00%

Distance of the resulting mixture: 1.1225

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.

DE_Saarland 50.00%
UK_Scotland_Highlands 20.00%
FR_Normandy 20.00%
IT_Lombardia 10.00%

Distance of the resulting mixture: 1.1151

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: 1.1143

nMonte Results Visualization (1% minimum value) - Chromosome 1

DE_Saarland46.00%
UK_Scotland_Highlands26.00%
FR_Normandy15.00%
IT_Lombardia12.00%
DE_Oberschwaben1.00%

Geographic distribution of populations - Chromosome 1

Percentage share

46.00%
34.75%
23.50%
12.25%
1.00%
Leaflet © OpenStreetMap

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.

  1. DE_Saarland: 1.1649
  2. FR_Normandy: 1.2054
  3. DE_Oberschwaben: 1.2429
  4. DE_Oberbayern: 1.2733
  5. FR_Ile-de-France: 1.2804
  6. Walloon: 1.3242
  7. Luxembourg: 1.3430
  8. FR_Hauts-de-France: 1.3526
  9. UK_England_South-West: 1.3529
  10. DE_Baden-Wurrtemberg: 1.3684

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:

  1. Distance: 1.158
    Combination: 12.5% UK_England_North-West + 87.5% DE_Saarland
  2. Distance: 1.160
    Combination: 10.5% UK_West-Midlands + 89.5% DE_Saarland
  3. Distance: 1.163
    Combination: 5.0% DE_Vorpommern + 95.0% DE_Saarland
  4. Distance: 1.171
    Combination: 85.2% FR_Normandy + 14.8% IT_Emilia-Romagna
  5. Distance: 1.188
    Combination: 64.6% UK_England_South-West + 35.4% IT_Friuli

Best combinations of 3 populations:

  1. Distance: 1.177
    Combination: 11.2% UK_England_South-West + 65.1% FR_Normandy + 23.7% IT_Sudtirol
  2. Distance: 1.183
    Combination: 49.5% UK_Scotland_Highlands + 11.0% DE_Oberbayern + 39.5% IT_Trentino
  3. Distance: 1.187
    Combination: 65.0% UK_England_South-West + 1.2% DE_Thuringen_east + 33.8% Swiss_Italian
  4. Distance: 1.211
    Combination: 62.8% IRL_Leinster + 1.4% Luxembourg + 35.8% IT_Emilia-Romagna
  5. Distance: 1.236
    Combination: 5.8% UK_England_North-East + 45.1% FR_Ile-de-France + 49.1% DE_Oberbayern

Best combinations of 4 populations:

  1. Distance: 1.327
    Combination: 2.5% NL_Utrecht + 66.4% FR_Hauts-de-France + 25.3% Austria_Tirol + 5.7% IT_Veneto

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.

NL_Overijssel 50.00%
Austria_Tirol 25.00%
UK_Scotland_Highlands 25.00%

Distance of the resulting mixture: 1.1928

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.

NL_Overijssel 50.00%
UK_Scotland_Highlands 20.00%
Austria_Tirol 20.00%
FR_Bearn 10.00%

Distance of the resulting mixture: 1.1616

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: 1.1584

nMonte Results Visualization (1% minimum value) - Chromosome 2

NL_Overijssel54.00%
UK_Scotland_Highlands16.00%
Austria_Tirol14.00%
FR_Bearn11.00%
NL_Groningen5.00%

Geographic distribution of populations - Chromosome 2

Percentage share

54.00%
41.75%
29.50%
17.25%
5.00%
Leaflet © OpenStreetMap

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.

  1. UK_Scotland_Central-Lowlands: 1.3210
  2. NL_Overijssel: 1.3246
  3. UK_England_South-West: 1.3264
  4. UK_West-Midlands: 1.3380
  5. UK_England_North-West: 1.3676
  6. UK_Scotland_north-east: 1.3798
  7. NL_Groningen: 1.3813
  8. UK_Scotland_Southern-Uplands: 1.3813
  9. Iceland: 1.3816
  10. UK_Scotland_Highlands: 1.3871

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:

  1. Distance: 1.233
    Combination: 84.5% NL_Overijssel + 15.5% FR_Hautes_Pyrenees
  2. Distance: 1.234
    Combination: 65.1% NL_Overijssel + 34.9% DE_Oberschwaben
  3. Distance: 1.235
    Combination: 84.0% NL_Overijssel + 16.0% FR_Corsica
  4. Distance: 1.241
    Combination: 64.7% NL_Overijssel + 35.3% DE_Oberbayern
  5. Distance: 1.247
    Combination: 82.7% NL_Groningen + 17.3% FR_Bearn

Best combinations of 3 populations:

  1. Distance: 1.267
    Combination: 21.3% UK_England_North-West + 63.9% NL_Overijssel + 14.8% Swiss_German
  2. Distance: 1.279
    Combination: 70.6% UK_Scotland_Central-Lowlands + 25.6% NL_Groningen + 3.8% Finn
  3. Distance: 1.282
    Combination: 37.5% UK_Scotland_Central-Lowlands + 10.2% FR_Corsica + 52.2% Iceland
  4. Distance: 1.282
    Combination: 60.8% UK_Scotland_Highlands + 35.7% DE_Oberbayern + 3.6% IT_Sudtirol
  5. Distance: 1.289
    Combination: 32.7% IRL_Leinster + 54.2% NL_Groningen + 13.2% IT_Veneto

Best combinations of 4 populations:

  1. Distance: 1.261
    Combination: 4.3% UK_Scotland_Southern-Uplands + 73.1% NL_Overijssel + 3.2% FR_Bourgogne + 19.4% Swiss_French
  2. Distance: 1.297
    Combination: 43.1% UK_West-Midlands + 4.5% FR_Hautes_Pyrenees + 8.7% IT_Lombardia + 43.7% Faroese
  3. Distance: 1.311
    Combination: 21.7% IRL_Munster + 27.2% DE_Rheinland_Pfalz-east-of-Rhine + 1.7% Swiss_German + 49.3% Iceland
  4. Distance: 1.338
    Combination: 69.2% UK_Scotland_Highlands + 3.5% IRL_Connacht + 14.7% DE_Baden-Wurrtemberg + 12.6% DE_Oberpfalz
  5. Distance: 1.339
    Combination: 27.8% UK_Scotland_Southern-Uplands + 10.4% FR_Gascony + 54.9% DE_Niedersachsen_north + 6.9% IT_Piemonte

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.

UK_Shetland 50.00%
FR_Champagne-Ardenne 25.00%
NL_Gelderland 25.00%

Distance of the resulting mixture: 1.8681

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.

UK_Shetland 40.00%
FR_Champagne-Ardenne 30.00%
NL_Gelderland 20.00%
NL_Drenthe 10.00%

Distance of the resulting mixture: 1.8665

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: 1.8662

nMonte Results Visualization (1% minimum value) - Chromosome 3

UK_Shetland42.00%
FR_Champagne-Ardenne28.00%
NL_Gelderland19.00%
NL_Drenthe8.00%
NL_Noord-Holland3.00%

Geographic distribution of populations - Chromosome 3

Percentage share

42.00%
32.25%
22.50%
12.75%
3.00%
Leaflet © OpenStreetMap

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.

  1. NL_Noord-Holland: 1.9243
  2. NL_Gelderland: 1.9256
  3. UK_Shetland: 1.9424
  4. UK_South_Wales: 2.0007
  5. NL_Drenthe: 2.0132
  6. DE_Niederbayern: 2.0295
  7. DE_Westfalen: 2.0419
  8. UK_England_South-East: 2.0504
  9. UK_North_Wales: 2.0564
  10. NL_Limburg: 2.0566

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:

  1. Distance: 1.917
    Combination: 94.1% NL_Gelderland + 5.9% FR_Bearn
  2. Distance: 1.917
    Combination: 84.9% NL_Gelderland + 15.1% FR_Centre_Val_De_Loire
  3. Distance: 1.925
    Combination: 98.6% NL_Gelderland + 1.4% IT_Lombardia
  4. Distance: 1.974
    Combination: 47.5% DE_Westfalen + 52.5% DE_Niederbayern
  5. Distance: 1.975
    Combination: 40.5% UK_North_Wales + 59.5% NL_Drenthe

Best combinations of 3 populations:

  1. Distance: 1.940
    Combination: 80.5% NL_Drenthe + 12.6% FR_Gascony + 6.9% IT_Lombardia
  2. Distance: 2.033
    Combination: 12.8% UK_England_North-West + 62.5% NL_Limburg + 24.7% FR_Centre_Val_De_Loire
  3. Distance: 2.037
    Combination: 11.9% IRL_Munster + 6.8% FR_Alsace + 81.3% DE_Westfalen
  4. Distance: 2.053
    Combination: 1.7% UK_East-Anglia + 83.6% NL_Limburg + 14.7% DE_Niedersachsen

Best combinations of 4 populations:

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.

UK_Scotland_Highlands 50.00%
FR_Normandy 25.00%
German_North_Moravia 25.00%

Distance of the resulting mixture: 2.1914

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.

UK_Scotland_Highlands 40.00%
FR_Normandy 20.00%
NL_Overijssel 10.00%
FR_Bearn 10.00%
German_North_Moravia 10.00%
German_north-east_Ost_Preussen 10.00%

Distance of the resulting mixture: 2.1786

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: 2.1782

nMonte Results Visualization (1% minimum value) - Chromosome 4

UK_Scotland_Highlands39.00%
FR_Normandy23.00%
German_North_Moravia11.00%
FR_Bearn10.00%
NL_Overijssel9.00%
German_north-east_Ost_Preussen8.00%

Geographic distribution of populations - Chromosome 4

Percentage share

39.00%
31.25%
23.50%
15.75%
8.00%
Leaflet © OpenStreetMap

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.

  1. UK_Scotland_Highlands: 2.2670
  2. FR_Normandy: 2.2679
  3. German_North_Moravia: 2.3267
  4. IRL_Leinster: 2.3285
  5. UK_Ulster: 2.3446
  6. UK_Orkney: 2.3512
  7. UK_Scotland_south-west: 2.3519
  8. UK_England_North-West: 2.3586
  9. UK_East-Midlands: 2.3607
  10. UK_England_South-West: 2.3669

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:

  1. Distance: 2.223
    Combination: 60.4% FR_Normandy + 39.6% German_North_Moravia
  2. Distance: 2.244
    Combination: 71.9% FR_Normandy + 28.1% DE_Vorpommern
  3. Distance: 2.245
    Combination: 85.1% FR_Normandy + 14.9% PL_Kashubian
  4. Distance: 2.250
    Combination: 86.9% UK_Scotland_Highlands + 13.1% Slovakia_central
  5. Distance: 2.253
    Combination: 88.5% UK_Scotland_Highlands + 11.5% IT_Friuli

Best combinations of 3 populations:

  1. Distance: 2.188
    Combination: 55.3% UK_Scotland_Highlands + 10.0% FR_Bearn + 34.7% German_North_Moravia
  2. Distance: 2.246
    Combination: 81.4% UK_Scotland_Highlands + 9.2% FR_South + 9.4% PL_Subcarpathia
  3. Distance: 2.281
    Combination: 73.0% IRL_Leinster + 9.9% FR_Bearn + 17.1% Slovenian
  4. Distance: 2.297
    Combination: 68.6% IRL_Leinster + 25.4% DE_Oberbayern + 6.0% PL_Masurian
  5. Distance: 2.309
    Combination: 82.0% IRL_Leinster + 8.0% DE_Oberschwaben + 10.0% PL_Central

Best combinations of 4 populations:

  1. Distance: 2.221
    Combination: 27.8% UK_Scotland_south-west + 40.2% NL_Overijssel + 19.5% FR_Bearn + 12.5% PL_Lublin
  2. Distance: 2.268
    Combination: 70.9% UK_Scotland_south-west + 16.5% FR_Bearn + 2.4% IT_Sudtirol + 10.2% PL_Upper_Silesia
  3. Distance: 2.319
    Combination: 30.9% UK_England_South-West + 39.8% IRL_Munster + 18.0% Austria_Karnten + 11.4% German_Pommern_east
  4. Distance: 2.321
    Combination: 67.0% UK_Orkney + 5.5% FR_Hautes_Pyrenees + 16.6% DE_Oberbayern + 10.9% PL_Slovincian
  5. Distance: 2.325
    Combination: 49.8% UK_Scotland_south-west + 36.8% UK_Ulster + 2.0% DE_Baden-Wurrtemberg + 11.4% PL_Masurian

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.

German_North_Moravia 50.00%
UK_Scotland_south-west 25.00%
FR_Bourgogne 25.00%

Distance of the resulting mixture: 1.3050

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.

UK_Scotland_south-west 30.00%
FR_Bourgogne 20.00%
German_North_Moravia 20.00%
FR_Gascony 10.00%
PL_Masurian 10.00%
PL_Kashubian 10.00%

Distance of the resulting mixture: 1.2855

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: 1.2748

nMonte Results Visualization (1% minimum value) - Chromosome 5

UK_Scotland_south-west29.00%
FR_Bourgogne23.00%
German_North_Moravia22.00%
PL_Masurian17.00%
FR_Hautes_Pyrenees9.00%

Geographic distribution of populations - Chromosome 5

Percentage share

29.00%
24.00%
19.00%
14.00%
9.00%
Leaflet © OpenStreetMap

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.

  1. German_North_Moravia: 1.4081
  2. FR_Bourgogne: 1.5448
  3. UK_England_North-East: 1.5594
  4. UK_Orkney: 1.5626
  5. UK_Ulster: 1.5675
  6. FR_Finistere: 1.5706
  7. UK_Scotland_south-west: 1.5713
  8. DE_Vorpommern: 1.5787
  9. IRL_Ulster: 1.5926
  10. DE_Thuringen_central: 1.5978

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:

  1. Distance: 1.311
    Combination: 38.6% FR_Bourgogne + 61.4% German_North_Moravia
  2. Distance: 1.335
    Combination: 16.8% FR_Hautes_Pyrenees + 83.2% German_North_Moravia
  3. Distance: 1.350
    Combination: 13.9% FR_Gascony + 86.1% German_North_Moravia
  4. Distance: 1.361
    Combination: 28.4% UK_North_Wales + 71.6% German_North_Moravia
  5. Distance: 1.394
    Combination: 16.8% DE_Frisian + 83.2% German_North_Moravia

Best combinations of 3 populations:

  1. Distance: 1.359
    Combination: 28.2% UK_Scotland_Highlands + 5.9% FR_Franche_Comte + 65.9% German_North_Moravia
  2. Distance: 1.391
    Combination: 39.7% UK_Scotland_south-west + 43.7% FR_Bourgogne + 16.6% German_Sudetenland
  3. Distance: 1.416
    Combination: 57.0% FR_Bourgogne + 25.7% DE_Thuringen_central + 17.2% Norway_Hedmark
  4. Distance: 1.423
    Combination: 68.6% UK_Scotland_south-west + 3.2% UK_Ulster + 28.2% PL_Masurian
  5. Distance: 1.429
    Combination: 62.0% UK_Orkney + 12.6% FR_Bearn + 25.5% PL_Masurian

Best combinations of 4 populations:

  1. Distance: 1.379
    Combination: 11.1% UK_East-Midlands + 66.2% FR_Bourgogne + 4.6% PL_Slovincian + 18.2% PL_Masovia
  2. Distance: 1.418
    Combination: 71.3% FR_Bourgogne + 15.5% PL_Central + 1.8% PL_Malopolska + 11.4% Norway_north
  3. Distance: 1.430
    Combination: 29.2% UK_England_North-East + 57.0% FR_Bourgogne + 9.6% German_Nieder_Schlesien_east + 4.1% Finn_south-west
  4. Distance: 1.459
    Combination: 59.0% UK_Orkney + 9.0% FR_Bearn + 14.3% Luxembourg + 17.8% PL_Lublin
  5. Distance: 1.463
    Combination: 8.1% FR_Normandy + 24.5% FR_South + 4.8% DE_Mecklenburg + 62.6% DE_Vorpommern

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.

German_Nieder_Schlesien_east 50.00%
NL_Overijssel 50.00%

Distance of the resulting mixture: 2.0357

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.

German_Nieder_Schlesien_east 60.00%
NL_Overijssel 20.00%
Austria_Salzburg 10.00%
Finn_east_and_north 10.00%

Distance of the resulting mixture: 2.0009

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: 1.9935

nMonte Results Visualization (1% minimum value) - Chromosome 6

German_Nieder_Schlesien_east61.00%
NL_Overijssel29.00%
Finn_east_and_north7.00%
Austria_Salzburg3.00%

Geographic distribution of populations - Chromosome 6

Percentage share

61.00%
46.50%
32.00%
17.50%
3.00%
Leaflet © OpenStreetMap

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.

  1. German_Nieder_Schlesien_east: 2.1484
  2. German_Nieder_Schlesien: 2.2472
  3. German_Nieder_Schlesien_Glatz: 2.2851
  4. NL_Overijssel: 2.2871
  5. DE_Sachsen_Kamenz: 2.3277
  6. German_North_Bohemia: 2.3346
  7. Slovakia_west: 2.3508
  8. German_Sudetenland: 2.3664
  9. DE_Thuringen_east: 2.3693
  10. German_Pommern: 2.3738

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:

  1. Distance: 2.098
    Combination: 28.1% Austria_Salzburg + 71.9% German_Nieder_Schlesien_east
  2. Distance: 2.117
    Combination: 24.5% Austria_Burgenland + 75.5% German_Nieder_Schlesien_east
  3. Distance: 2.135
    Combination: 13.6% DE_Oberschwaben + 86.4% German_Nieder_Schlesien_east
  4. Distance: 2.137
    Combination: 60.4% NL_Overijssel + 39.6% PL_Wielkopolska
  5. Distance: 2.141
    Combination: 9.5% UK_Scotland_south-west + 90.5% German_Nieder_Schlesien_east

Best combinations of 3 populations:

  1. Distance: 2.034
    Combination: 15.5% Austria_Tirol + 74.4% German_Nieder_Schlesien_east + 10.1% Finn_east_and_north
  2. Distance: 2.172
    Combination: 56.3% NL_Overijssel + 16.1% German_North_Bohemia + 27.6% Czech
  3. Distance: 2.223
    Combination: 76.6% German_North_Bohemia + 6.7% PL_Malopolska + 16.7% Finn
  4. Distance: 2.240
    Combination: 49.2% German_Nieder_Schlesien_Glatz + 36.1% PL_Upper_Silesia + 14.7% Denmark
  5. Distance: 2.278
    Combination: 14.3% Austria_Salzburg + 77.7% German_Nieder_Schlesien_Glatz + 8.0% Denmark

Best combinations of 4 populations:

  1. Distance: 2.059
    Combination: 3.4% UK_Scotland_north-east + 1.5% German_Nieder_Schlesien + 75.4% German_Nieder_Schlesien_east + 19.8% Swede_Finland
  2. Distance: 2.226
    Combination: 48.7% Austria_Salzburg + 5.2% Slovakia_west + 34.2% PL_Wielkopolska + 11.9% Finn_south-west
  3. Distance: 2.270
    Combination: 10.5% UK_England_South-West + 52.2% German_Sudetenland + 28.3% PL_Slovincian + 9.0% Finn_east_and_north
  4. Distance: 2.289
    Combination: 21.3% UK_Scotland_south-west + 36.8% German_North_Bohemia + 14.0% PL_Wielkopolska + 27.8% PL_Central
  5. Distance: 2.297
    Combination: 3.4% FR_Ile-de-France + 1.3% German_northern_Ost_Preussen + 82.1% Slovakia_west + 13.2% Finn

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.

UK_South_Wales 50.00%
FR_Gascony 50.00%

Distance of the resulting mixture: 1.4028

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.

FR_Gascony 40.00%
UK_South_Wales 30.00%
UK_North_Wales 20.00%
FR_Hautes_Pyrenees 10.00%

Distance of the resulting mixture: 1.4205

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: 1.4040

nMonte Results Visualization (1% minimum value) - Chromosome 7

UK_South_Wales50.00%
FR_Gascony44.00%
FR_Hautes_Pyrenees5.00%
FR_Finistere1.00%

Geographic distribution of populations - Chromosome 7

Percentage share

50.00%
37.75%
25.50%
13.25%
1.00%
Leaflet © OpenStreetMap

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.

  1. FR_Bourgogne: 1.7469
  2. FR_Finistere: 1.7840
  3. FR_Hautes_Pyrenees: 1.8794
  4. UK_South_Wales: 1.9429
  5. FR_West: 1.9558
  6. FR_Gascony: 1.9834
  7. FR_South: 1.9836
  8. FR_Centre_Val_De_Loire: 1.9920
  9. UK_North_Wales: 2.0010
  10. IRL_Munster: 2.0139

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:

  1. Distance: 1.446
    Combination: 49.5% UK_North_Wales + 50.5% FR_Gascony
  2. Distance: 1.519
    Combination: 44.0% UK_Ulster + 56.0% FR_Hautes_Pyrenees
  3. Distance: 1.529
    Combination: 43.3% UK_Scotland_Highlands + 56.7% FR_Gascony
  4. Distance: 1.535
    Combination: 45.3% UK_Orkney + 54.7% FR_Gascony
  5. Distance: 1.536
    Combination: 35.7% FR_Bearn + 64.3% FR_Finistere

Best combinations of 3 populations:

  1. Distance: 1.789
    Combination: 28.5% FR_Central + 66.9% FR_Hautes_Pyrenees + 4.6% DE_Sachsen_Kamenz
  2. Distance: 1.868
    Combination: 77.3% FR_Gascony + 17.9% Austria_mixed + 4.9% PL_Kashubian
  3. Distance: 1.912
    Combination: 80.8% FR_Gascony + 10.5% IT_Ladinia + 8.8% PL_Malopolska

Best combinations of 4 populations:

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.

Finn 50.00%
German_Nieder_Schlesien_east 25.00%
FR_Champagne-Ardenne 25.00%

Distance of the resulting mixture: 2.1337

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.

Finn_east_and_north 20.00%
German_Nieder_Schlesien_east 20.00%
FR_Franche_Comte 10.00%
Finn 10.00%
FR_Hautes_Pyrenees 10.00%
Finn_south-west 10.00%
PL_Masurian 10.00%
Austria_Salzburg 10.00%

Distance of the resulting mixture: 2.1022

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: 2.0902

nMonte Results Visualization (1% minimum value) - Chromosome 8

German_Nieder_Schlesien_east35.00%
Finn_east_and_north34.00%
FR_Franche_Comte21.00%
FR_Hautes_Pyrenees5.00%
PL_Masurian3.00%
PL_Central2.00%

Geographic distribution of populations - Chromosome 8

Percentage share

35.00%
26.75%
18.50%
10.25%
2.00%
Leaflet © OpenStreetMap

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.

  1. SV_Norrland: 2.5432
  2. Norway_north: 2.5686
  3. Swede_Finland: 2.6902
  4. Norway_Hedmark: 2.7026
  5. SV_Svealand: 2.7409
  6. German_Nieder_Schlesien_Glatz: 2.8165
  7. Slovakia_west: 2.8736
  8. German_North_Moravia: 2.8763
  9. German_north-east_Ost_Preussen: 2.8960
  10. German_Sudetenland: 2.9221

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:

  1. Distance: 2.384
    Combination: 52.7% German_north-east_Ost_Preussen + 47.3% Finn
  2. Distance: 2.426
    Combination: 39.6% German_North_Bohemia + 60.4% Swede_Finland
  3. Distance: 2.441
    Combination: 41.3% German_Sudetenland + 58.7% Swede_Finland
  4. Distance: 2.445
    Combination: 37.5% Slovenian + 62.5% Swede_Finland
  5. Distance: 2.471
    Combination: 35.7% PL_Lublin + 64.3% Swede_Finland

Best combinations of 3 populations:

  1. Distance: 2.220
    Combination: 39.3% Swiss_French + 28.4% German_north-east_Ost_Preussen + 32.3% Finn_east_and_north
  2. Distance: 2.426
    Combination: 19.2% IT_Ladinia + 19.1% PL_Lublin + 61.6% Swede_Finland
  3. Distance: 2.437
    Combination: 37.8% Hungarian_Central + 2.1% PL_Lublin + 60.1% Swede_Finland
  4. Distance: 2.442
    Combination: 8.5% NL_Noord_Brabant + 32.0% PL_Upper_Silesia + 59.5% Swede_Finland
  5. Distance: 2.453
    Combination: 11.2% IT_Trentino + 25.7% PL_Lublin + 63.0% Swede_Finland

Best combinations of 4 populations:

  1. Distance: 2.849
    Combination: 34.8% DE_Brandenburg + 5.5% DE_Oberpfalz + 1.4% German_Nieder_Schlesien_east + 58.3% German_north-east_Ost_Preussen

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.

NL_Drenthe 75.00%
DE_Nordrhein 25.00%

Distance of the resulting mixture: 1.4367

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.

NL_Drenthe 50.00%
NL_Limburg 40.00%
NL_Gelderland 10.00%

Distance of the resulting mixture: 1.4268

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: 1.4268

nMonte Results Visualization (1% minimum value) - Chromosome 9

NL_Drenthe51.00%
NL_Limburg39.00%
NL_Gelderland10.00%

Geographic distribution of populations - Chromosome 9

Percentage share

51.00%
40.75%
30.50%
20.25%
10.00%
Leaflet © OpenStreetMap

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.

  1. NL_Drenthe: 1.4741
  2. NL_Gelderland: 1.4903
  3. NL_Limburg: 1.4970
  4. DE_Schleswig-Holstein: 1.5528
  5. DE_Niedersachsen: 1.6598
  6. DE_Franken: 1.6699
  7. DE_Niedersachsen_north: 1.6701
  8. NL_Groningen: 1.6981
  9. DE_Westfalen: 1.6992
  10. DE_Nordrhein: 1.7042

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:

  1. Distance: 1.470
    Combination: 92.0% NL_Drenthe + 8.0% DE_Oberbayern
  2. Distance: 1.470
    Combination: 93.2% NL_Drenthe + 6.8% DE_Saarland
  3. Distance: 1.471
    Combination: 91.2% NL_Drenthe + 8.8% DE_Sachsen-Anhalt
  4. Distance: 1.496
    Combination: 94.1% NL_Limburg + 5.9% DE_Sachsen-Anhalt
  5. Distance: 1.548
    Combination: 91.0% DE_Schleswig-Holstein + 9.0% Austria_Tirol

Best combinations of 3 populations:

  1. Distance: 1.466
    Combination: 87.6% NL_Drenthe + 10.4% FR_Alsace + 2.0% Faroese
  2. Distance: 1.540
    Combination: 61.5% DE_Schleswig-Holstein + 22.9% DE_Franken + 15.6% Faroese
  3. Distance: 1.649
    Combination: 72.5% DE_Niedersachsen_north + 21.3% DE_Brandenburg + 6.2% IT_Aosta
  4. Distance: 1.674
    Combination: 75.5% NL_Groningen + 15.4% Flemish + 9.1% FR_Centre_Val_De_Loire
  5. Distance: 1.690
    Combination: 89.5% NL_Groningen + 8.7% Swiss_French + 1.8% DE_Sachsen_Kamenz

Best combinations of 4 populations:

  1. Distance: 1.637
    Combination: 33.7% NL_Groningen + 50.2% DE_Niedersachsen + 7.2% Austria_Salzburg + 8.8% IT_Veneto

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.

NL_Overijssel 25.00%
IRL_Ulster 25.00%
UK_Scotland_south-west 25.00%
FR_Bourgogne 25.00%

Distance of the resulting mixture: 1.1431

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.

UK_Scotland_south-west 40.00%
IRL_Ulster 20.00%
FR_Bourgogne 20.00%
Norway_north 10.00%
Austria_Burgenland 10.00%

Distance of the resulting mixture: 1.1261

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: 1.1086

nMonte Results Visualization (1% minimum value) - Chromosome 10

UK_Scotland_south-west44.00%
FR_Bourgogne29.00%
IRL_Ulster21.00%
Finn_east_and_north5.00%
Austria_Burgenland1.00%

Geographic distribution of populations - Chromosome 10

Percentage share

44.00%
33.25%
22.50%
11.75%
1.00%
Leaflet © OpenStreetMap

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.

  1. UK_Scotland_south-west: 1.2200
  2. IRL_Ulster: 1.2604
  3. UK_Orkney: 1.2720
  4. IRL_Munster: 1.2723
  5. IRL_Connacht: 1.2796
  6. UK_England_North-East: 1.2830
  7. UK_South_Wales: 1.2902
  8. UK_Ulster: 1.2953
  9. IRL_Leinster: 1.3196
  10. UK_Scotland_Southern-Uplands: 1.3213

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:

  1. Distance: 1.201
    Combination: 96.4% UK_Scotland_south-west + 3.6% Finn_east_and_north
  2. Distance: 1.209
    Combination: 67.4% UK_South_Wales + 32.6% Austria_Burgenland
  3. Distance: 1.209
    Combination: 87.3% UK_Scotland_south-west + 12.7% FR_Lorraine
  4. Distance: 1.211
    Combination: 90.4% UK_Scotland_south-west + 9.6% Austria_mixed
  5. Distance: 1.217
    Combination: 88.9% UK_Scotland_south-west + 11.1% FR_West

Best combinations of 3 populations:

  1. Distance: 1.195
    Combination: 63.0% IRL_Ulster + 25.4% NL_Overijssel + 11.7% IT_Ladinia
  2. Distance: 1.198
    Combination: 85.2% UK_Scotland_south-west + 13.3% FR_Central + 1.5% PL_Lublin
  3. Distance: 1.207
    Combination: 65.6% IRL_Ulster + 25.8% FR_Centre_Val_De_Loire + 8.6% Norway_south-east
  4. Distance: 1.212
    Combination: 71.6% IRL_Ulster + 26.3% German_North_Moravia + 2.2% Faroese
  5. Distance: 1.218
    Combination: 87.0% UK_Scotland_south-west + 9.7% IRL_Connacht + 3.3% SV_Norrland

Best combinations of 4 populations:

  1. Distance: 1.190
    Combination: 52.7% IRL_Ulster + 32.9% NL_Overijssel + 9.1% FR_Gascony + 5.3% German_Nieder_Schlesien_Glatz

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.

FR_Finistere 75.00%
UK_South_Wales 25.00%

Distance of the resulting mixture: 1.1563

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.

FR_Finistere 40.00%
UK_South_Wales 30.00%
UK_North_Wales 10.00%
FR_Hautes_Pyrenees 10.00%
IRL_Ulster 10.00%

Distance of the resulting mixture: 1.1707

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: 1.1559

nMonte Results Visualization (1% minimum value) - Chromosome 11

FR_Finistere66.00%
UK_South_Wales30.00%
FR_Hautes_Pyrenees3.00%
IT_Liguria1.00%

Geographic distribution of populations - Chromosome 11

Percentage share

66.00%
49.75%
33.50%
17.25%
1.00%
Leaflet © OpenStreetMap

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.

  1. FR_Finistere: 1.1650
  2. UK_South_Wales: 1.2525
  3. UK_North_Wales: 1.2688
  4. FR_West: 1.2945
  5. IRL_Munster: 1.3266
  6. IRL_Ulster: 1.3297
  7. IRL_Leinster: 1.3362
  8. UK_England_South-West: 1.3815
  9. UK_Scotland_north-east: 1.3916
  10. UK_Scotland_Central-Lowlands: 1.4036

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:

  1. Distance: 1.225
    Combination: 87.9% UK_South_Wales + 12.1% Swiss_Italian
  2. Distance: 1.234
    Combination: 91.6% UK_South_Wales + 8.4% IT_Emilia-Romagna
  3. Distance: 1.259
    Combination: 83.4% IRL_Munster + 16.6% FR_Hautes_Pyrenees
  4. Distance: 1.260
    Combination: 77.3% IRL_Ulster + 22.7% FR_South
  5. Distance: 1.275
    Combination: 35.8% IRL_Leinster + 64.2% FR_West

Best combinations of 3 populations:

  1. Distance: 1.251
    Combination: 78.7% UK_South_Wales + 20.2% UK_North_Wales + 1.1% FR_Lorraine
  2. Distance: 1.319
    Combination: 82.3% IRL_Leinster + 16.2% FR_Centre_Val_De_Loire + 1.4% FR_Hauts-de-France

Best combinations of 4 populations:

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.

Austria_Salzburg 50.00%
NL_Gelderland 25.00%
DE_Mecklenburg 25.00%

Distance of the resulting mixture: 1.6273

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.

NL_Gelderland 40.00%
Austria_Salzburg 40.00%
PL_Wielkopolska 20.00%

Distance of the resulting mixture: 1.6182

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: 1.6179

nMonte Results Visualization (1% minimum value) - Chromosome 12

NL_Gelderland41.00%
Austria_Salzburg40.00%
PL_Wielkopolska18.00%
DE_Frisian1.00%

Geographic distribution of populations - Chromosome 12

Percentage share

41.00%
31.00%
21.00%
11.00%
1.00%
Leaflet © OpenStreetMap

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.

  1. Austria_Salzburg: 1.7255
  2. DE_Franken: 1.7265
  3. NL_Gelderland: 1.7509
  4. DE_Sachsen: 1.7743
  5. DE_Mecklenburg: 1.7794
  6. DE_Niedersachsen_south: 1.7885
  7. DE_Sachsen-Anhalt_south: 1.7970
  8. DE_Sachsen_Kamenz: 1.8233
  9. DE_Niedersachsen: 1.8325
  10. DE_Nordrhein: 1.8554

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:

  1. Distance: 1.628
    Combination: 44.3% DE_Mecklenburg + 55.7% Austria_Salzburg
  2. Distance: 1.691
    Combination: 49.6% DE_Franken + 50.4% Austria_Salzburg
  3. Distance: 1.700
    Combination: 25.8% DE_Schleswig-Holstein + 74.2% Austria_Salzburg
  4. Distance: 1.710
    Combination: 80.9% Austria_Salzburg + 19.1% German_northern_Ost_Preussen
  5. Distance: 1.713
    Combination: 37.1% NL_Gelderland + 62.9% DE_Franken

Best combinations of 3 populations:

  1. Distance: 1.663
    Combination: 70.4% NL_Gelderland + 1.0% IT_Emilia-Romagna + 28.6% PL_Wielkopolska
  2. Distance: 1.718
    Combination: 10.1% DE_Vorpommern + 86.6% Austria_Salzburg + 3.3% PL_Upper_Silesia
  3. Distance: 1.718
    Combination: 57.4% NL_Gelderland + 37.2% DE_Mecklenburg + 5.4% DE_Thuringen_east
  4. Distance: 1.724
    Combination: 3.3% UK_England_South-East + 93.5% Austria_Salzburg + 3.2% PL_Lublin
  5. Distance: 1.724
    Combination: 4.5% NL_Drenthe + 29.9% DE_Frisian + 65.6% DE_Sachsen-Anhalt_south

Best combinations of 4 populations:

  1. Distance: 1.748
    Combination: 20.6% NL_Drenthe + 6.5% FR_Ile-de-France + 48.0% DE_Mecklenburg + 24.9% Hungarian_Northern

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.

UK_Scotland_Highlands 50.00%
IT_Aosta 50.00%

Distance of the resulting mixture: 1.9825

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.

IT_Aosta 50.00%
UK_Scotland_Highlands 40.00%
IRL_Ulster 10.00%

Distance of the resulting mixture: 1.9844

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: 1.9828

nMonte Results Visualization (1% minimum value) - Chromosome 13

IT_Aosta51.00%
UK_Scotland_Highlands47.00%
IRL_Ulster2.00%

Geographic distribution of populations - Chromosome 13

Percentage share

51.00%
38.75%
26.50%
14.25%
2.00%
Leaflet © OpenStreetMap

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.

  1. IT_Aosta: 2.1881
  2. UK_Scotland_Highlands: 2.2015
  3. IRL_Ulster: 2.2017
  4. FR_Ile-de-France: 2.2119
  5. UK_England_South-West: 2.2176
  6. DE_Oberschwaben: 2.2352
  7. FR_West: 2.2453
  8. DE_Oberbayern: 2.2623
  9. DE_Saarland: 2.2696
  10. FR_Normandy: 2.2880

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:

  1. Distance: 2.064
    Combination: 65.6% UK_Scotland_Highlands + 34.4% IT_Veneto
  2. Distance: 2.096
    Combination: 51.2% UK_Scotland_Highlands + 48.8% FR_Ile-de-France
  3. Distance: 2.105
    Combination: 35.6% UK_Ulster + 64.4% IT_Aosta
  4. Distance: 2.154
    Combination: 26.2% UK_East-Midlands + 73.8% IT_Aosta
  5. Distance: 2.167
    Combination: 79.5% UK_England_South-West + 20.5% IT_Lombardia

Best combinations of 3 populations:

  1. Distance: 2.135
    Combination: 77.4% IT_Aosta + 17.0% PL_Slovincian + 5.6% Faroese
  2. Distance: 2.157
    Combination: 66.6% UK_Scotland_Highlands + 29.9% FR_Bourgogne + 3.5% Austria_Steiermark
  3. Distance: 2.160
    Combination: 77.9% IRL_Ulster + 15.9% IT_Ladinia + 6.2% Slovenian
  4. Distance: 2.189
    Combination: 50.9% IRL_Munster + 38.3% DE_Oberbayern + 10.7% IT_Trentino
  5. Distance: 2.194
    Combination: 12.7% UK_Scotland_south-west + 15.1% FR_Finistere + 72.3% FR_Ile-de-France

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.

Austria_Salzburg 25.00%
DE_Nordrhein 25.00%
Slovakia_central 25.00%
IT_Emilia-Romagna 25.00%

Distance of the resulting mixture: 1.9607

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.

Slovakia_central 30.00%
DE_Nordrhein 20.00%
Austria_Salzburg 20.00%
IT_Emilia-Romagna 20.00%
Austria_Tirol 10.00%

Distance of the resulting mixture: 1.9583

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: 1.9569

nMonte Results Visualization (1% minimum value) - Chromosome 14

Austria_Salzburg28.00%
Slovakia_central26.00%
IT_Emilia-Romagna18.00%
DE_Nordrhein18.00%
Austria_Tirol10.00%

Geographic distribution of populations - Chromosome 14

Percentage share

28.00%
23.50%
19.00%
14.50%
10.00%
Leaflet © OpenStreetMap

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.

  1. Austria_Salzburg: 2.0244
  2. IT_Sudtirol: 2.0496
  3. Austria_Tirol: 2.0504
  4. Hungarian_Transylvania: 2.0609
  5. DE_Nordrhein: 2.0832
  6. Hungarian_Transdanubia: 2.0835
  7. DE_Franken: 2.0955
  8. DE_Oberpfalz: 2.1044
  9. DE_Oberschwaben: 2.1063
  10. DE_Sachsen-Anhalt_south: 2.1418

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:

  1. Distance: 1.989
    Combination: 52.0% Austria_Tirol + 48.0% Hungarian_Transylvania
  2. Distance: 1.999
    Combination: 82.6% Austria_Salzburg + 17.4% IT_Emilia-Romagna
  3. Distance: 2.000
    Combination: 75.9% IT_Sudtirol + 24.1% German_Neumark_east-Brandenburg
  4. Distance: 2.005
    Combination: 57.1% IT_Sudtirol + 42.9% Hungarian_Transdanubia
  5. Distance: 2.009
    Combination: 43.5% DE_Franken + 56.5% Hungarian_Transylvania

Best combinations of 3 populations:

  1. Distance: 1.968
    Combination: 55.3% Austria_Tirol + 11.6% IT_Emilia-Romagna + 33.0% Slovakia_central
  2. Distance: 2.020
    Combination: 65.8% Austria_Tirol + 16.6% IT_Sudtirol + 17.6% Slovakia_east
  3. Distance: 2.031
    Combination: 28.7% DE_Oberpfalz + 27.6% Austria_Tirol + 43.7% IT_Sudtirol
  4. Distance: 2.049
    Combination: 9.7% NL_Groningen + 6.3% IT_Aosta + 84.0% Hungarian_Transylvania
  5. Distance: 2.056
    Combination: 65.9% DE_Oberschwaben + 2.7% Hungarian_Alfold + 31.3% Hungarian_Northern

Best combinations of 4 populations:

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.

PL_Central 25.00%
DE_Frisian 25.00%
FR_Centre_Val_De_Loire 25.00%
Austria_Salzburg 25.00%

Distance of the resulting mixture: 2.6621

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.

Austria_Salzburg 40.00%
DE_Frisian 30.00%
FR_Centre_Val_De_Loire 20.00%
PL_Central 10.00%

Distance of the resulting mixture: 2.6525

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: 2.6453

nMonte Results Visualization (1% minimum value) - Chromosome 15

DE_Frisian41.00%
Austria_Salzburg39.00%
PL_Central12.00%
FR_Centre_Val_De_Loire8.00%

Geographic distribution of populations - Chromosome 15

Percentage share

41.00%
32.75%
24.50%
16.25%
8.00%
Leaflet © OpenStreetMap

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.

  1. Austria_Salzburg: 2.7558
  2. NL_Gelderland: 2.7569
  3. DE_Mecklenburg: 2.7966
  4. German_North_Moravia: 2.7967
  5. DE_Frisian: 2.7968
  6. DE_Franken: 2.8103
  7. DE_Sachsen: 2.8154
  8. NL_Noord-Holland: 2.8163
  9. UK_East-Anglia: 2.8246
  10. NL_Noord_Brabant: 2.8313

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:

  1. Distance: 2.711
    Combination: 76.3% NL_Gelderland + 23.7% PL_Central
  2. Distance: 2.732
    Combination: 77.5% Austria_Salzburg + 22.5% German_Danzig
  3. Distance: 2.733
    Combination: 26.7% FR_Centre_Val_De_Loire + 73.3% Austria_Salzburg
  4. Distance: 2.738
    Combination: 67.0% NL_Gelderland + 33.0% DE_Sachsen
  5. Distance: 2.739
    Combination: 23.5% NL_Utrecht + 76.5% Austria_Salzburg

Best combinations of 3 populations:

  1. Distance: 2.734
    Combination: 72.3% DE_Frisian + 18.4% IT_Friuli + 9.3% PL_Malopolska
  2. Distance: 2.740
    Combination: 43.2% NL_Drenthe + 49.0% German_North_Moravia + 7.9% Hungarian_Transylvania
  3. Distance: 2.744
    Combination: 76.2% DE_Frisian + 19.4% IT_Veneto + 4.4% German_Nieder_Schlesien
  4. Distance: 2.745
    Combination: 9.6% UK_Scotland_north-east + 78.8% Austria_Salzburg + 11.5% PL_Wielkopolska
  5. Distance: 2.746
    Combination: 17.7% UK_East-Midlands + 75.7% Austria_Salzburg + 6.6% PL_Masovia

Best combinations of 4 populations:

  1. Distance: 2.774
    Combination: 11.9% UK_East-Midlands + 64.7% DE_Mecklenburg + 20.8% Austria_Steiermark + 2.7% Luxembourg
  2. Distance: 2.801
    Combination: 43.3% UK_East-Anglia + 18.5% DE_Sachsen-Anhalt_south + 30.3% DE_Niederbayern + 7.9% Denmark

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.

NL_Drenthe 75.00%
SV_Norrland 25.00%

Distance of the resulting mixture: 1.5292

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.

NL_Drenthe 80.00%
Faroese 10.00%
SV_Norrland 10.00%

Distance of the resulting mixture: 1.5219

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: 1.5155

nMonte Results Visualization (1% minimum value) - Chromosome 16

NL_Drenthe79.00%
Faroese11.00%
Finn_south-west5.00%
SV_Norrland5.00%

Geographic distribution of populations - Chromosome 16

Percentage share

79.00%
60.50%
42.00%
23.50%
5.00%
Leaflet © OpenStreetMap

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.

  1. NL_Drenthe: 1.5402
  2. NL_Friesland: 1.7053
  3. Faroese: 1.7180
  4. NL_Groningen: 1.7844
  5. DE_Frisian: 1.7992
  6. DE_Niedersachsen_north: 1.8114
  7. Norway_Hedmark: 1.8248
  8. DE_Schleswig-Holstein: 1.8501
  9. SV_Skane: 1.8512
  10. SV_Svealand: 1.8815

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:

  1. Distance: 1.516
    Combination: 93.1% NL_Drenthe + 6.9% Finn_south-west
  2. Distance: 1.534
    Combination: 85.3% NL_Drenthe + 14.7% Faroese
  3. Distance: 1.540
    Combination: 98.3% NL_Drenthe + 1.7% Norway_north
  4. Distance: 1.710
    Combination: 86.5% DE_Frisian + 13.5% Finn_south-west
  5. Distance: 1.714
    Combination: 10.7% NL_Limburg + 89.3% Faroese

Best combinations of 3 populations:

  1. Distance: 1.703
    Combination: 18.2% NL_Limburg + 73.3% DE_Frisian + 8.5% Finn_east_and_north

Best combinations of 4 populations:

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.

DE_Nordrhein 75.00%
IT_Lombardia 25.00%

Distance of the resulting mixture: 2.0031

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.

DE_Nordrhein 70.00%
NL_Gelderland 10.00%
Hungarian_Northern 10.00%
IT_Lombardia 10.00%

Distance of the resulting mixture: 1.9991

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: 1.9802

nMonte Results Visualization (1% minimum value) - Chromosome 17

DE_Nordrhein88.00%
IT_Lombardia9.00%
Hungarian_Northern1.00%
DE_Sachsen-Anhalt1.00%
IT_Veneto1.00%

Geographic distribution of populations - Chromosome 17

Percentage share

88.00%
66.25%
44.50%
22.75%
1.00%
Leaflet © OpenStreetMap

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.

  1. DE_Nordrhein: 1.9814
  2. DE_Franken: 2.1996
  3. Austria_Tirol: 2.2486
  4. DE_Oberschwaben: 2.2801
  5. NL_Gelderland: 2.2817
  6. DE_Rheinland_Pfalz-east-of-Rhine: 2.2851
  7. DE_Saarland: 2.2940
  8. FR_Alsace: 2.2951
  9. NL_Limburg: 2.3003
  10. DE_Sachsen-Anhalt_south: 2.3049

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:

  1. Distance: 2.163
    Combination: 79.0% DE_Franken + 21.0% IT_Emilia-Romagna
  2. Distance: 2.173
    Combination: 53.3% NL_Limburg + 46.7% IT_Veneto
  3. Distance: 2.181
    Combination: 58.5% DE_Sachsen-Anhalt_south + 41.5% IT_Trentino
  4. Distance: 2.199
    Combination: 95.0% DE_Franken + 5.0% IT_Sudtirol
  5. Distance: 2.199
    Combination: 3.9% DE_Sachsen-Anhalt + 96.1% DE_Franken

Best combinations of 3 populations:

  1. Distance: 2.229
    Combination: 30.3% DE_Oberschwaben + 41.4% IT_Trentino + 28.3% German_northern_Ost_Preussen
  2. Distance: 2.234
    Combination: 3.5% NL_Groningen + 70.9% NL_Limburg + 25.5% FR_Corsica
  3. Distance: 2.238
    Combination: 57.1% NL_Limburg + 31.5% Swiss_Italian + 11.4% German_Danzig
  4. Distance: 2.239
    Combination: 32.0% DE_Sachsen + 54.1% DE_Rheinland_Pfalz-east-of-Rhine + 13.9% IT_Ladinia
  5. Distance: 2.247
    Combination: 36.2% NL_Limburg + 30.8% FR_Lorraine + 33.0% DE_Sachsen-Anhalt

Best combinations of 4 populations:

  1. Distance: 2.199
    Combination: 52.8% NL_Limburg + 16.2% DE_Thuringen + 29.5% IT_Emilia-Romagna + 1.4% PL_Wielkopolska
  2. Distance: 2.247
    Combination: 1.7% FR_Normandy + 57.3% DE_Oberschwaben + 26.0% IT_Emilia-Romagna + 15.0% German_Danzig

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.

DE_Frisian 50.00%
NL_Limburg 25.00%
Austria_Salzburg 25.00%

Distance of the resulting mixture: 2.1779

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.

DE_Frisian 40.00%
Austria_Salzburg 30.00%
NL_Limburg 20.00%
FR_Centre_Val_De_Loire 10.00%

Distance of the resulting mixture: 2.1732

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: 2.1725

nMonte Results Visualization (1% minimum value) - Chromosome 18

DE_Frisian44.00%
Austria_Salzburg30.00%
NL_Limburg15.00%
FR_Centre_Val_De_Loire11.00%

Geographic distribution of populations - Chromosome 18

Percentage share

44.00%
35.75%
27.50%
19.25%
11.00%
Leaflet © OpenStreetMap

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.

  1. NL_Gelderland: 2.2335
  2. NL_Limburg: 2.2400
  3. DE_Niedersachsen: 2.2896
  4. DE_Frisian: 2.3066
  5. UK_East-Anglia: 2.3146
  6. DE_Niedersachsen_north: 2.3155
  7. NL_Drenthe: 2.3188
  8. NL_Friesland: 2.3226
  9. DE_Franken: 2.3356
  10. NL_Noord_Brabant: 2.3447

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:

  1. Distance: 2.219
    Combination: 79.2% DE_Frisian + 20.8% IT_Lombardia
  2. Distance: 2.225
    Combination: 76.0% NL_Gelderland + 24.0% DE_Frisian
  3. Distance: 2.230
    Combination: 85.8% NL_Gelderland + 14.2% NL_Overijssel
  4. Distance: 2.232
    Combination: 18.4% FR_Corsica + 81.6% DE_Frisian
  5. Distance: 2.236
    Combination: 34.8% FR_Centre_Val_De_Loire + 65.2% DE_Niedersachsen

Best combinations of 3 populations:

  1. Distance: 2.277
    Combination: 83.2% NL_Drenthe + 1.2% DE_Brandenburg + 15.6% IT_Lombardia
  2. Distance: 2.285
    Combination: 14.5% NL_Zuid_Holland + 83.6% DE_Niedersachsen + 2.0% DE_Saarland
  3. Distance: 2.299
    Combination: 1.9% UK_East-Midlands + 72.4% NL_Friesland + 25.8% German_West_Bohemia
  4. Distance: 2.301
    Combination: 5.1% FR_Bourgogne + 89.1% DE_Frisian + 5.8% German_Sudetenland
  5. Distance: 2.312
    Combination: 39.5% NL_Friesland + 53.3% DE_Niedersachsen_north + 7.2% DE_Sachsen

Best combinations of 4 populations:

  1. Distance: 2.283
    Combination: 65.1% NL_Drenthe + 13.0% Swiss_Italian + 2.3% IT_Emilia-Romagna + 19.6% Faroese
  2. Distance: 2.307
    Combination: 33.8% FR_Centre_Val_De_Loire + 51.7% DE_Franken + 4.9% German_Nieder_Schlesien_east + 9.6% Norway_west

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.

Faroese 50.00%
UK_South_Wales 25.00%
Austria_Tirol 25.00%

Distance of the resulting mixture: 2.2758

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.

Faroese 70.00%
FR_Bourgogne 10.00%
Austria_Tirol 10.00%
DE_Sachsen-Anhalt 10.00%

Distance of the resulting mixture: 2.2610

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: 2.2526

nMonte Results Visualization (1% minimum value) - Chromosome 19

Faroese73.00%
DE_Sachsen-Anhalt16.00%
FR_Corsica9.00%
IT_Liguria1.00%
UK_South_Wales1.00%

Geographic distribution of populations - Chromosome 19

Percentage share

73.00%
55.00%
37.00%
19.00%
1.00%
Leaflet © OpenStreetMap

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.

  1. Faroese: 2.2998
  2. NL_Groningen: 2.3473
  3. NL_Gelderland: 2.4138
  4. DE_Westfalen: 2.4190
  5. DE_Mecklenburg_central-east: 2.4201
  6. UK_South_Wales: 2.4385
  7. DE_Niedersachsen_north: 2.4440
  8. DE_Sachsen-Anhalt: 2.4474
  9. IRL_Connacht: 2.4680
  10. IRL_Leinster: 2.4736

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:

  1. Distance: 2.277
    Combination: 17.1% FR_Bourgogne + 82.9% Faroese
  2. Distance: 2.286
    Combination: 13.3% Swiss_French + 86.7% Faroese
  3. Distance: 2.330
    Combination: 78.3% NL_Groningen + 21.7% DE_Oberschwaben
  4. Distance: 2.337
    Combination: 24.3% UK_South_Wales + 75.7% NL_Groningen
  5. Distance: 2.345
    Combination: 94.9% NL_Groningen + 5.1% Hungarian_Alfold

Best combinations of 3 populations:

  1. Distance: 2.371
    Combination: 32.4% NL_Gelderland + 58.5% DE_Mecklenburg_central-east + 9.1% IT_Liguria
  2. Distance: 2.395
    Combination: 7.0% UK_East-Midlands + 26.2% UK_Scotland_Highlands + 66.8% DE_Mecklenburg_central-east
  3. Distance: 2.413
    Combination: 55.1% IRL_Connacht + 18.8% DE_Niedersachsen + 26.0% IT_Sudtirol
  4. Distance: 2.427
    Combination: 26.0% UK_Scotland_Highlands + 3.8% FR_Central + 70.2% DE_Niedersachsen_north
  5. Distance: 2.427
    Combination: 81.2% UK_South_Wales + 17.2% DE_Nordrhein + 1.6% PL_Slovincian

Best combinations of 4 populations:

  1. Distance: 2.452
    Combination: 55.8% IRL_Leinster + 26.0% NL_Overijssel + 2.7% DE_Sachsen-Anhalt_south + 15.5% DE_Niederbayern

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.

UK_Scotland_Highlands 50.00%
IRL_Ulster 25.00%
PL_Slovincian 25.00%

Distance of the resulting mixture: 1.7816

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.

UK_Scotland_Highlands 60.00%
PL_Slovincian 30.00%
IRL_Ulster 10.00%

Distance of the resulting mixture: 1.7721

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: 1.7646

nMonte Results Visualization (1% minimum value) - Chromosome 20

UK_Scotland_Highlands73.00%
PL_Slovincian23.00%
IRL_Ulster2.00%
PL_Lublin2.00%

Geographic distribution of populations - Chromosome 20

Percentage share

73.00%
55.25%
37.50%
19.75%
2.00%
Leaflet © OpenStreetMap

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.

  1. UK_Scotland_Highlands: 1.8434
  2. IRL_Ulster: 1.9593
  3. IRL_Leinster: 2.0536
  4. DE_Vorpommern: 2.0539
  5. IRL_Connacht: 2.0596
  6. UK_Orkney: 2.0660
  7. IRL_Munster: 2.0780
  8. UK_Scotland_south-west: 2.0865
  9. DE_Sachsen_Kamenz: 2.1101
  10. UK_England_North-East: 2.1366

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:

  1. Distance: 1.795
    Combination: 79.5% UK_Scotland_Highlands + 20.5% PL_Kuyavia_&_SE_Pomerania
  2. Distance: 1.811
    Combination: 76.8% UK_Scotland_Highlands + 23.2% German_Neumark_east-Brandenburg
  3. Distance: 1.836
    Combination: 91.1% UK_Scotland_Highlands + 8.9% Slovenian
  4. Distance: 1.856
    Combination: 71.6% IRL_Ulster + 28.4% PL_Wielkopolska
  5. Distance: 1.859
    Combination: 71.5% IRL_Ulster + 28.5% PL_Kuyavia_&_SE_Pomerania

Best combinations of 3 populations:

  1. Distance: 2.023
    Combination: 62.7% UK_Ulster + 3.7% DE_Sachsen_Kamenz + 33.6% PL_Wielkopolska
  2. Distance: 2.033
    Combination: 25.5% UK_North_Wales + 35.3% DE_Sachsen_Kamenz + 39.2% DE_Vorpommern
  3. Distance: 2.077
    Combination: 95.0% IRL_Munster + 2.3% NL_Utrecht + 2.7% Austria_Salzburg
  4. Distance: 2.102
    Combination: 70.3% UK_England_North-East + 23.6% DE_Thuringen + 6.1% Slovakia_east

Best combinations of 4 populations:

  1. Distance: 2.034
    Combination: 38.4% UK_North_Wales + 1.7% NL_Overijssel + 35.7% DE_Sachsen_Kamenz + 24.3% German_Pommern_east

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.

Faroese 75.00%
DE_Niederbayern 25.00%

Distance of the resulting mixture: 2.1562

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.

Faroese 80.00%
UK_South_Wales 20.00%

Distance of the resulting mixture: 2.1497

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: 2.1489

nMonte Results Visualization (1% minimum value) - Chromosome 21

Faroese75.00%
UK_South_Wales19.00%
DE_Niederbayern4.00%
NL_Gelderland2.00%

Geographic distribution of populations - Chromosome 21

Percentage share

75.00%
56.75%
38.50%
20.25%
2.00%
Leaflet © OpenStreetMap

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.

  1. Faroese: 2.1661
  2. NL_Groningen: 2.2539
  3. NL_Gelderland: 2.2628
  4. DE_Niedersachsen_north: 2.3050
  5. UK_South_Wales: 2.3074
  6. DE_Westfalen: 2.3178
  7. IRL_Connacht: 2.3324
  8. IRL_Leinster: 2.3410
  9. DE_Niedersachsen: 2.3437
  10. IRL_Munster: 2.3637

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:

  1. Distance: 2.149
    Combination: 24.3% UK_South_Wales + 75.7% Faroese
  2. Distance: 2.253
    Combination: 5.4% UK_Scotland_north-east + 94.6% NL_Groningen
  3. Distance: 2.283
    Combination: 54.4% UK_South_Wales + 45.6% DE_Westfalen
  4. Distance: 2.297
    Combination: 80.4% DE_Niedersachsen_north + 19.6% DE_Franken
  5. Distance: 2.301
    Combination: 15.2% UK_North_Wales + 84.8% DE_Niedersachsen_north

Best combinations of 3 populations:

  1. Distance: 2.325
    Combination: 55.0% IRL_Munster + 33.9% NL_Noord-Holland + 11.1% DE_Sachsen-Anhalt

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.

Austria_Steiermark 50.00%
PL_Subcarpathia 25.00%
FR_Hautes_Pyrenees 25.00%

Distance of the resulting mixture: 1.6908

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.

Austria_Steiermark 40.00%
FR_Hautes_Pyrenees 20.00%
PL_Subcarpathia 20.00%
PL_Masurian 10.00%
FR_South 10.00%

Distance of the resulting mixture: 1.6951

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: 1.6895

nMonte Results Visualization (1% minimum value) - Chromosome 22

Austria_Steiermark46.00%
FR_Hautes_Pyrenees25.00%
PL_Subcarpathia24.00%
PL_Masurian5.00%

Geographic distribution of populations - Chromosome 22

Percentage share

46.00%
35.75%
25.50%
15.25%
5.00%
Leaflet © OpenStreetMap

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.

  1. Austria_Steiermark: 1.7793
  2. DE_Thuringen_central: 1.9383
  3. DE_Sachsen: 1.9531
  4. German_North_Bohemia: 2.0202
  5. German_Sudetenland: 2.0330
  6. FR_Franche_Comte: 2.0497
  7. FR_Lorraine: 2.0524
  8. Czech: 2.0538
  9. German_North_Moravia: 2.0540
  10. Hungarian_Transdanubia: 2.0739

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:

  1. Distance: 1.773
    Combination: 11.7% FR_Ile-de-France + 88.3% Austria_Steiermark
  2. Distance: 1.778
    Combination: 95.4% Austria_Steiermark + 4.6% Swiss_Italian
  3. Distance: 1.840
    Combination: 61.4% FR_Franche_Comte + 38.6% PL_Kashubian
  4. Distance: 1.872
    Combination: 50.3% FR_Franche_Comte + 49.7% Czech
  5. Distance: 1.883
    Combination: 66.5% FR_Franche_Comte + 33.5% PL_Slovincian

Best combinations of 3 populations:

  1. Distance: 1.897
    Combination: 20.5% FR_Bearn + 7.2% IT_Lombardia + 72.2% Czech
  2. Distance: 1.902
    Combination: 23.1% FR_Hautes_Pyrenees + 12.4% IT_Trentino + 64.5% German_North_Moravia
  3. Distance: 1.903
    Combination: 2.0% Flemish + 23.2% FR_Bearn + 74.8% Czech
  4. Distance: 1.921
    Combination: 58.3% FR_Franche_Comte + 14.7% DE_Brandenburg + 27.0% Hungarian_Northern
  5. Distance: 1.929
    Combination: 40.0% IT_Ladinia + 34.1% German_Danzig + 25.9% German_North_Moravia

Best combinations of 4 populations:

  1. Distance: 1.866
    Combination: 36.6% FR_South + 25.7% German_North_Moravia + 13.4% Slovakia_west + 24.4% Slovenian
  2. Distance: 1.874
    Combination: 25.7% FR_Hautes_Pyrenees + 3.4% Swiss_Italian + 36.2% German_North_Moravia + 34.7% Hungarian_Central
  3. Distance: 1.981
    Combination: 48.3% German_North_Bohemia + 36.5% German_North_Moravia + 7.6% German_West_Bohemia + 7.6% PL_Masovia
  4. Distance: 2.030
    Combination: 5.6% UK_Scotland_Highlands + 32.9% IT_Friuli + 33.2% German_Nieder_Schlesien_east + 28.3% Hungarian_Transdanubia

Principal component analysis (PCA)

Principal Component Analysis is a mathematical technique that reduces the complexity of genetic data into visualizable components. The PCA plot shows how your chromosomes (red dots) relate to reference populations (blue dots) in genetic space. Chromosomes that cluster near specific populations indicate genetic similarity to those groups, while outlier chromosomes may represent unique genetic signatures in your DNA.

Chromosomes
Reference populations
Click and drag to pan the graph. Use the mouse wheel to zoom in/out.