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: Sub Saharan African (88.31%)
| Continental stock (showing only groups with more then 1%) | Percent |
|---|---|
| Sub Saharan African | 88.31% |
| European | 6.42% |
| West Asian North African | 1.85% |
| East Asian | 1.27% |
| South Asian South Central Asian | 1.08% |
Reference Populations Used in Analysis
This analysis was performed using the following reference populations you selected. These populations form the basis for comparing your genetic data and determining ancestry percentages.
Population map with the smallest distance
This map visualizes the geographic locations of the populations that most closely match your genetic signature for each chromosome. Red markers indicate the population with the closest genetic match for each chromosome, while the heat map shows areas of genetic similarity concentration. This geographical representation helps visualize the regional origins of your ancestry.
Red markers represent populations with the top 1 Euclidean distance from each chromosome's results.
Most similar population (Top 1)
Other populations from the TOP 10
Heat Map:
* The intensity of the colors is proportional to the number of chromosomes,
for which a given population is in the TOP results.
Autosomal analysis for Chromosome 1
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 1:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.5993
Results of the nMonte algorithm (10% minimum value) Chromosome 1:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.5781
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: 0.5338
nMonte Results Visualization (1% minimum value) - Chromosome 1
Geographic distribution of populations - Chromosome 1
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Soninke_west_Africa: 0.6409
- Mandenka_west_Africa: 0.6516
- Hausa_Nigeria: 0.6695
- Serere_Senegal: 0.6756
- Wolof_Senegal: 0.6761
- Manjak_Guinea_Bissau: 0.6781
- Diola_west_Africa: 0.7232
- Malinke_west_Africa: 0.7510
- Bafut_Cameroun: 0.7847
- Mbo_Cameroun: 0.7940
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.597
Combination: 4.3% FR_Ile-de-France + 95.7% Hausa_Nigeria -
Distance: 0.598
Combination: 4.2% FR_Champagne-Ardenne + 95.8% Hausa_Nigeria -
Distance: 0.598
Combination: 4.2% UK_Orkney + 95.8% Hausa_Nigeria -
Distance: 0.598
Combination: 4.2% NL_Overijssel + 95.8% Hausa_Nigeria -
Distance: 0.599
Combination: 24.4% Makua_Mozambique + 75.6% Soninke_west_Africa
Best combinations of 3 populations:
-
Distance: 0.592
Combination: 1.7% FR_Hauts-de-France + 4.2% Khwe_Angola + 94.1% Soninke_west_Africa -
Distance: 0.593
Combination: 2.3% UK_Shetland + 91.8% Hausa_Nigeria + 5.8% Fulani_Eastern -
Distance: 0.593
Combination: 3.3% NL_Limburg + 10.3% Makua_Mozambique + 86.4% Hausa_Nigeria -
Distance: 0.594
Combination: 3.9% Khwe_Angola + 7.2% Hema_DR_Kongo + 88.9% Malinke_west_Africa -
Distance: 0.595
Combination: 1.8% Xun_Angola + 7.8% Hema_DR_Kongo + 90.5% Malinke_west_Africa
Best combinations of 4 populations:
-
Distance: 0.592
Combination: 2.6% FR_Alsace + 1.9% Xun_Angola + 11.4% Akan_Ghana + 84.0% Soninke_west_Africa -
Distance: 0.592
Combination: 2.8% UK_England_South-East + 7.2% Makua_Mozambique + 1.5% Hema_DR_Kongo + 88.5% Hausa_Nigeria -
Distance: 0.593
Combination: 1.1% UK_Scotland_north-east + 2.5% FR_Provence + 6.7% Malawi + 89.7% Hausa_Nigeria -
Distance: 0.597
Combination: 2.6% FR_South + 17.4% Makua_Mozambique + 2.4% Akan_Ghana + 77.7% Serere_Senegal -
Distance: 0.600
Combination: 2.9% ES_Valencia + 2.0% Xun_Angola + 6.4% Mende_Sierra_Leone + 88.8% Serere_Senegal
Autosomal analysis for Chromosome 2
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 2:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.8298
Results of the nMonte algorithm (10% minimum value) Chromosome 2:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.7872
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: 0.7772
nMonte Results Visualization (1% minimum value) - Chromosome 2
Geographic distribution of populations - Chromosome 2
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Makua_Mozambique: 1.0010
- Wolof_Senegal: 1.0886
- Malawi: 1.0952
- Soninke_west_Africa: 1.1028
- Bakoko_Cameroun: 1.1031
- Mandenka_west_Africa: 1.1150
- Duala_Cameroun: 1.1251
- Manjak_Guinea_Bissau: 1.1319
- Bafut_Cameroun: 1.1475
- Bamoun_Cameroun: 1.1492
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.823
Combination: 10.5% NL_Gelderland + 89.5% Soninke_west_Africa -
Distance: 0.823
Combination: 10.5% FR_Franche_Comte + 89.5% Soninke_west_Africa -
Distance: 0.827
Combination: 10.3% IRL_Leinster + 89.7% Soninke_west_Africa -
Distance: 0.829
Combination: 10.3% UK_Orkney + 89.7% Soninke_west_Africa -
Distance: 0.830
Combination: 10.3% UK_East-Midlands + 89.7% Soninke_west_Africa
Best combinations of 3 populations:
-
Distance: 0.819
Combination: 1.0% UK_England_South-East + 9.6% FR_Centre_Val_De_Loire + 89.4% Soninke_west_Africa -
Distance: 0.823
Combination: 7.3% UK_Ulster + 3.2% FR_Hautes_Pyrenees + 89.6% Soninke_west_Africa -
Distance: 0.823
Combination: 7.3% UK_England_North-West + 3.1% FR_Bearn + 89.5% Soninke_west_Africa -
Distance: 0.824
Combination: 7.5% IRL_Leinster + 2.9% ES_Asturias + 89.6% Soninke_west_Africa -
Distance: 0.824
Combination: 9.5% FR_South + 9.7% Mbukushu_Angola + 80.8% Soninke_west_Africa
Best combinations of 4 populations:
-
Distance: 0.812
Combination: 5.7% UK_England_South-East + 3.1% FR_South + 18.8% Makua_Mozambique + 72.3% Soninke_west_Africa -
Distance: 0.825
Combination: 7.9% FR_Finistere + 10.5% Hema_DR_Kongo + 44.0% Akan_Ghana + 37.7% Wolof_Senegal -
Distance: 0.827
Combination: 5.0% NL_Utrecht + 2.8% ES_Valencia + 21.9% Malawi + 70.3% Wolof_Senegal -
Distance: 0.829
Combination: 5.8% UK_North_Wales + 3.9% ES_Castilla-La_Mancha + 16.6% Malawi + 73.7% Hausa_Nigeria -
Distance: 0.834
Combination: 5.1% UK_England_North-West + 4.2% ES_Huelva + 1.8% Xun_Angola + 88.8% Mandenka_west_Africa
Autosomal analysis for Chromosome 3
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 3:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.7102
Results of the nMonte algorithm (10% minimum value) Chromosome 3:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.6602
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: 0.6175
nMonte Results Visualization (1% minimum value) - Chromosome 3
Geographic distribution of populations - Chromosome 3
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Makua_Mozambique: 0.7635
- Malawi: 0.7994
- Duala_Cameroun: 0.9011
- Mbukushu_Angola: 0.9584
- Bakoko_Cameroun: 0.9637
- Tikar_Cameroun: 0.9754
- Kwangali_Angola: 0.9796
- Bamoun_Cameroun: 0.9852
- Bafut_Cameroun: 1.0090
- Bakongo: 1.0353
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.748
Combination: 2.3% ES_Aragon + 97.7% Makua_Mozambique -
Distance: 0.748
Combination: 75.5% Malawi + 24.5% Hausa_Nigeria -
Distance: 0.750
Combination: 2.2% Portugal_Lisboa + 97.8% Makua_Mozambique -
Distance: 0.751
Combination: 2.1% ES_Castilla_y_Leon + 97.9% Makua_Mozambique -
Distance: 0.751
Combination: 2.1% ES_Asturias + 97.9% Makua_Mozambique
Best combinations of 3 populations:
-
Distance: 0.702
Combination: 5.5% NL_Overijssel + 66.1% Malawi + 28.4% Nankam_Ghana -
Distance: 0.718
Combination: 5.0% UK_England_North-East + 65.8% Malawi + 29.2% Igbo_Nigeria -
Distance: 0.718
Combination: 62.2% Malawi + 26.2% Diola_west_Africa + 11.6% Fulani_Eastern -
Distance: 0.725
Combination: 5.0% ES_Galicia + 76.2% Makua_Mozambique + 18.8% Nankam_Ghana -
Distance: 0.739
Combination: 3.1% ES_Navarra_central-south + 89.8% Makua_Mozambique + 7.0% Mbo_Cameroun
Best combinations of 4 populations:
-
Distance: 0.712
Combination: 1.0% Walloon + 4.2% ES_Extremadura + 64.9% Malawi + 29.8% Igbo_Nigeria -
Distance: 0.719
Combination: 2.9% ES_Andalusia_South + 71.9% Makua_Mozambique + 16.6% Akan_Ghana + 8.6% Fulani_west_Africa -
Distance: 0.722
Combination: 3.3% IRL_Connacht + 33.2% Mbukushu_Angola + 16.8% Hema_DR_Kongo + 46.7% Yoruba_Nigeria -
Distance: 0.730
Combination: 4.2% UK_North_Wales + 75.5% Makua_Mozambique + 12.5% Mossi_Burkina_Faso + 7.7% Wolof_Senegal -
Distance: 0.734
Combination: 2.2% NL_Gelderland + 2.6% ES_Extremadura + 77.0% Makua_Mozambique + 18.2% Akan_Ghana
Autosomal analysis for Chromosome 4
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 4:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.4453
Results of the nMonte algorithm (10% minimum value) Chromosome 4:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.3532
Results of the nMonte algorithm (1% minimum value) Chromosome 4:
This analysis uses a 1% minimum threshold, showing the most comprehensive picture of your genetic ancestry. It includes even small genetic contributions, revealing minor ancestral components that might be missed with higher thresholds. This detailed view is useful for identifying distant or minor ancestry that may still be genetically significant.
Distance of the resulting mixture: 1.3155
nMonte Results Visualization (1% minimum value) - Chromosome 4
Geographic distribution of populations - Chromosome 4
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Mbukushu_Angola: 1.7212
- Fang_Gabon: 1.7353
- Ovambo_Angola: 1.7371
- Makua_Mozambique: 1.7391
- Ngumba_Cameroun: 1.8031
- Malawi: 1.8525
- Duala_Cameroun: 1.8677
- Kwangali_Angola: 1.8736
- Bakongo: 1.8910
- Bangwa_Cameroun: 1.9416
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.438
Combination: 14.8% Swiss_French + 85.2% Mbukushu_Angola -
Distance: 1.444
Combination: 14.5% FR_Bourgogne + 85.5% Mbukushu_Angola -
Distance: 1.449
Combination: 14.2% UK_England_South-West + 85.8% Mbukushu_Angola -
Distance: 1.450
Combination: 14.1% NL_Friesland + 85.9% Mbukushu_Angola -
Distance: 1.455
Combination: 14.0% UK_Scotland_south-west + 86.0% Mbukushu_Angola
Best combinations of 3 populations:
-
Distance: 1.434
Combination: 12.2% NL_Drenthe + 2.5% ES_Huesca + 85.3% Mbukushu_Angola -
Distance: 1.441
Combination: 16.2% UK_Orkney + 69.5% Mbukushu_Angola + 14.3% Brong_Ghana -
Distance: 1.444
Combination: 16.4% FR_Lorraine + 68.1% Mbukushu_Angola + 15.5% Igbo_Nigeria -
Distance: 1.449
Combination: 12.9% NL_Utrecht + 1.4% FR_Gascony + 85.7% Mbukushu_Angola -
Distance: 1.451
Combination: 9.8% UK_East-Midlands + 4.5% ES_Galicia + 85.7% Mbukushu_Angola
Best combinations of 4 populations:
-
Distance: 1.442
Combination: 10.5% UK_England_North-West + 7.7% Portugal_South + 50.2% Ovambo_Angola + 31.6% Mende_Sierra_Leone -
Distance: 1.443
Combination: 11.3% UK_North_Wales + 2.4% ES_Cataluna + 82.8% Mbukushu_Angola + 3.5% Fulani_west_Africa -
Distance: 1.448
Combination: 5.8% NL_Overijssel + 11.3% FR_Centre_Val_De_Loire + 66.2% Ovambo_Angola + 16.7% Akan_Ghana -
Distance: 1.459
Combination: 14.2% IRL_Ulster + 1.7% ES_La_Rioja + 70.4% Ovambo_Angola + 13.6% Dogon_Mali -
Distance: 1.461
Combination: 1.0% UK_East-Midlands + 14.8% FR_Franche_Comte + 74.8% Ovambo_Angola + 9.4% Kasem_Ghana
Autosomal analysis for Chromosome 5
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 5:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.8937
Results of the nMonte algorithm (10% minimum value) Chromosome 5:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.6696
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: 0.6415
nMonte Results Visualization (1% minimum value) - Chromosome 5
Geographic distribution of populations - Chromosome 5
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Mbukushu_Angola: 0.8477
- Makua_Mozambique: 0.8714
- Ovambo_Angola: 0.8976
- Fang_Gabon: 0.9068
- Kwangali_Angola: 0.9185
- Duala_Cameroun: 0.9264
- Ngumba_Cameroun: 0.9487
- Bakongo: 0.9679
- Malawi: 0.9885
- Tikar_Cameroun: 1.0100
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.695
Combination: 8.9% IRL_Ulster + 91.1% Kwangali_Angola -
Distance: 0.702
Combination: 8.8% IRL_Connacht + 91.2% Kwangali_Angola -
Distance: 0.719
Combination: 8.5% UK_England_North-West + 91.5% Kwangali_Angola -
Distance: 0.737
Combination: 10.1% UK_Yorkshire_Humber + 89.9% Tikar_Cameroun -
Distance: 0.748
Combination: 8.1% NL_Zuid_Holland + 91.9% Kwangali_Angola
Best combinations of 3 populations:
-
Distance: 0.713
Combination: 9.6% UK_England_North-West + 82.1% Kwangali_Angola + 8.3% Yoruba_Nigeria -
Distance: 0.713
Combination: 8.9% UK_Ulster + 76.1% Kwangali_Angola + 15.1% Tikar_Cameroun -
Distance: 0.721
Combination: 9.3% UK_Scotland_Central-Lowlands + 1.8% Xun_Angola + 89.0% Tikar_Cameroun -
Distance: 0.723
Combination: 9.4% NL_Overijssel + 2.8% Khwe_Angola + 87.8% Tikar_Cameroun -
Distance: 0.744
Combination: 10.0% IRL_Connacht + 64.5% Ovambo_Angola + 25.5% Esan_Nigeria
Best combinations of 4 populations:
-
Distance: 0.740
Combination: 9.4% IRL_Connacht + 30.0% Makua_Mozambique + 39.3% Ngumba_Cameroun + 21.3% Yoruba_Nigeria -
Distance: 0.762
Combination: 7.9% UK_England_South-East + 4.8% Xun_Angola + 6.6% Fang_Gabon + 80.7% Mbo_Cameroun -
Distance: 0.796
Combination: 5.8% FR_Corsica + 1.3% ES_Navarra_north-east + 88.4% Kwangali_Angola + 4.5% Mende_Sierra_Leone -
Distance: 0.800
Combination: 4.3% ES_Alava + 50.7% Makua_Mozambique + 9.1% Baka_Cameroun + 35.9% Dogon_Mali -
Distance: 0.801
Combination: 8.1% NL_Drenthe + 64.4% Ovambo_Angola + 3.5% Ngumba_Cameroun + 24.0% Akan_Ghana
Autosomal analysis for Chromosome 6
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 6:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.3540
Results of the nMonte algorithm (10% minimum value) Chromosome 6:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.3041
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: 0.3016
nMonte Results Visualization (1% minimum value) - Chromosome 6
Geographic distribution of populations - Chromosome 6
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Ngumba_Cameroun: 0.3817
- Fang_Gabon: 0.4673
- Ovambo_Angola: 0.5070
- Mbukushu_Angola: 0.6408
- Bakongo: 0.6556
- Kwangali_Angola: 0.6929
- Duala_Cameroun: 0.7844
- Bamoun_Cameroun: 0.8567
- Tikar_Cameroun: 0.8638
- Makua_Mozambique: 0.8658
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.374
Combination: 91.0% Bakongo + 9.0% Congo_Pygmy -
Distance: 0.377
Combination: 9.0% Baka_Cameroun + 91.0% Bakongo -
Distance: 0.378
Combination: 2.0% Khwe_Angola + 98.0% Ngumba_Cameroun -
Distance: 0.601
Combination: 3.9% FR_Corsica + 96.1% Bakongo -
Distance: 0.604
Combination: 3.8% ES_Islas_Baleares + 96.2% Bakongo
Best combinations of 3 populations:
-
Distance: 0.349
Combination: 7.4% Ovambo_Angola + 22.8% Baka_Cameroun + 69.8% Dogon_Mali -
Distance: 0.589
Combination: 2.8% Swiss_French + 34.4% Mbukushu_Angola + 62.8% Bakongo -
Distance: 0.606
Combination: 1.2% IRL_Ulster + 2.5% FR_Hautes_Pyrenees + 96.3% Bakongo -
Distance: 0.607
Combination: 2.5% UK_North_Wales + 1.1% ES_Navarra_north-east + 96.3% Bakongo -
Distance: 0.608
Combination: 2.4% UK_North_Wales + 1.2% ES_Navarra_central-south + 96.4% Bakongo
Best combinations of 4 populations:
-
Distance: 0.486
Combination: 2.1% Portugal_Norte + 36.8% Kwangali_Angola + 16.0% Bakola_Cameroun + 45.2% Akan_Ghana
Autosomal analysis for Chromosome 7
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 7:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.9143
Results of the nMonte algorithm (10% minimum value) Chromosome 7:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.8177
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: 0.7880
nMonte Results Visualization (1% minimum value) - Chromosome 7
Geographic distribution of populations - Chromosome 7
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Makua_Mozambique: 1.0329
- Kwangali_Angola: 1.0986
- Duala_Cameroun: 1.1020
- Bamoun_Cameroun: 1.1032
- Bakongo: 1.1144
- Mbukushu_Angola: 1.1170
- Tikar_Cameroun: 1.1230
- Ovambo_Angola: 1.1240
- Mbo_Cameroun: 1.1339
- Bafut_Cameroun: 1.1461
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.916
Combination: 9.8% FR_Lorraine + 90.2% Mbo_Cameroun -
Distance: 0.919
Combination: 9.5% FR_Gascony + 90.5% Bafut_Cameroun -
Distance: 0.921
Combination: 9.6% NL_Limburg + 90.4% Mbo_Cameroun -
Distance: 0.922
Combination: 9.5% ES_Cataluna + 90.5% Mbo_Cameroun -
Distance: 0.923
Combination: 9.4% ES_Murcia + 90.6% Mbo_Cameroun
Best combinations of 3 populations:
-
Distance: 0.840
Combination: 13.2% ES_Huelva + 31.1% Kwangali_Angola + 55.8% Brong_Ghana -
Distance: 0.856
Combination: 12.8% NL_Drenthe + 7.6% Kwangali_Angola + 79.6% Mende_Sierra_Leone -
Distance: 0.862
Combination: 12.7% UK_Scotland_Southern-Uplands + 33.0% Kwangali_Angola + 54.3% Brong_Ghana -
Distance: 0.864
Combination: 11.6% UK_England_South-East + 40.1% Makua_Mozambique + 48.3% Esan_Nigeria -
Distance: 0.867
Combination: 11.8% FR_Hautes_Pyrenees + 28.7% Ovambo_Angola + 59.5% Akan_Ghana
Best combinations of 4 populations:
-
Distance: 0.834
Combination: 7.0% UK_England_North-East + 6.0% FR_Corsica + 27.0% Mbukushu_Angola + 60.0% Brong_Ghana -
Distance: 0.836
Combination: 8.3% FR_Gascony + 4.6% Portugal_Lisboa + 32.2% Kwangali_Angola + 54.9% Brong_Ghana -
Distance: 0.838
Combination: 5.4% FR_Alsace + 7.5% FR_Bourgogne + 27.6% Makua_Mozambique + 59.5% Brong_Ghana -
Distance: 0.856
Combination: 10.5% UK_England_North-East + 2.4% NL_Drenthe + 32.2% Kwangali_Angola + 54.9% Brong_Ghana -
Distance: 0.858
Combination: 8.2% NL_Noord_Brabant + 5.2% FR_Hautes_Pyrenees + 22.1% Duala_Cameroun + 64.6% Igbo_Nigeria
Autosomal analysis for Chromosome 8
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 8:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.9530
Results of the nMonte algorithm (10% minimum value) Chromosome 8:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.9174
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: 0.9150
nMonte Results Visualization (1% minimum value) - Chromosome 8
Geographic distribution of populations - Chromosome 8
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Wolof_Senegal: 1.4352
- Makua_Mozambique: 1.4364
- Manjak_Guinea_Bissau: 1.4503
- Soninke_west_Africa: 1.4575
- Mandenka_west_Africa: 1.4703
- Mbo_Cameroun: 1.4921
- Bamoun_Cameroun: 1.4923
- Bakoko_Cameroun: 1.4936
- Aghem_Cameroun: 1.5009
- Bangwa_Cameroun: 1.5047
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.038
Combination: 14.5% NL_Utrecht + 85.5% Soninke_west_Africa -
Distance: 1.042
Combination: 14.1% NL_Drenthe + 85.9% Wolof_Senegal -
Distance: 1.055
Combination: 14.3% UK_Scotland_Central-Lowlands + 85.7% Soninke_west_Africa -
Distance: 1.056
Combination: 14.3% FR_Normandy + 85.7% Soninke_west_Africa -
Distance: 1.061
Combination: 14.6% NL_Zuid_Holland + 85.4% Mandenka_west_Africa
Best combinations of 3 populations:
-
Distance: 1.055
Combination: 14.2% UK_England_South-West + 4.3% Manjak_Guinea_Bissau + 81.4% Soninke_west_Africa -
Distance: 1.063
Combination: 14.5% UK_England_South-East + 2.6% Hausa_Nigeria + 82.9% Mandenka_west_Africa -
Distance: 1.065
Combination: 6.6% UK_North_Wales + 7.7% UK_England_North-West + 85.6% Mandenka_west_Africa -
Distance: 1.077
Combination: 18.9% ES_Cataluna + 68.0% Esan_Nigeria + 13.0% Mandenka_west_Africa -
Distance: 1.082
Combination: 18.8% ES_Galicia + 78.8% Mossi_Burkina_Faso + 2.4% Soninke_west_Africa
Best combinations of 4 populations:
-
Distance: 1.115
Combination: 17.5% ES_Castilla_y_Leon + 17.2% Akan_Ghana + 43.0% Yoruba_Nigeria + 22.2% Mandenka_west_Africa -
Distance: 1.151
Combination: 15.4% ES_West_Bizkaia + 36.7% Kasem_Ghana + 18.1% Manjak_Guinea_Bissau + 29.9% Mende_Sierra_Leone -
Distance: 1.244
Combination: 27.1% Aghem_Cameroun + 21.9% Brong_Ghana + 11.0% Dogon_Mali + 40.0% Fulani_west_Africa -
Distance: 1.334
Combination: 6.2% UK_East-Anglia + 3.1% NL_Overijssel + 49.2% Makua_Mozambique + 41.4% Bakongo
Autosomal analysis for Chromosome 9
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 9:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.2644
Results of the nMonte algorithm (10% minimum value) Chromosome 9:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.2786
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: 0.2166
nMonte Results Visualization (1% minimum value) - Chromosome 9
Geographic distribution of populations - Chromosome 9
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Bafut_Cameroun: 0.3210
- Mbo_Cameroun: 0.3520
- Tikar_Cameroun: 0.3566
- Bamoun_Cameroun: 0.3660
- Aghem_Cameroun: 0.3718
- Bakoko_Cameroun: 0.3766
- Duala_Cameroun: 0.4316
- Kwangali_Angola: 0.4892
- Manjak_Guinea_Bissau: 0.4996
- Bakongo: 0.5132
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.275
Combination: 2.4% NL_Overijssel + 97.6% Bafut_Cameroun -
Distance: 0.278
Combination: 2.3% NL_Friesland + 97.7% Bafut_Cameroun -
Distance: 0.281
Combination: 56.5% Kwangali_Angola + 43.5% Soninke_west_Africa -
Distance: 0.283
Combination: 2.2% UK_Yorkshire_Humber + 97.8% Bafut_Cameroun -
Distance: 0.284
Combination: 2.2% Flemish + 97.8% Bafut_Cameroun
Best combinations of 3 populations:
-
Distance: 0.258
Combination: 2.1% NL_Groningen + 56.4% Duala_Cameroun + 41.5% Malinke_west_Africa -
Distance: 0.266
Combination: 1.7% IRL_Munster + 49.8% Kwangali_Angola + 48.5% Hausa_Nigeria -
Distance: 0.267
Combination: 2.4% FR_West + 52.1% Kwangali_Angola + 45.5% Malinke_west_Africa -
Distance: 0.274
Combination: 1.0% UK_England_North-West + 53.3% Kwangali_Angola + 45.7% Soninke_west_Africa -
Distance: 0.274
Combination: 3.0% UK_Scotland_Southern-Uplands + 68.6% Tikar_Cameroun + 28.4% Bambara_Mali
Best combinations of 4 populations:
-
Distance: 0.262
Combination: 2.9% NL_Overijssel + 50.7% Kwangali_Angola + 25.9% Brong_Ghana + 20.5% Wolof_Senegal -
Distance: 0.265
Combination: 1.7% NL_Groningen + 1.9% Malawi + 63.7% Tikar_Cameroun + 32.7% Soninke_west_Africa -
Distance: 0.269
Combination: 2.3% FR_West + 67.3% Tikar_Cameroun + 10.6% Nankam_Ghana + 19.8% Soninke_west_Africa -
Distance: 0.271
Combination: 1.6% ES_Navarra_north-east + 48.5% Malawi + 12.2% Aghem_Cameroun + 37.8% Esan_Nigeria -
Distance: 0.276
Combination: 1.6% ES_Cataluna + 1.5% Baka_Cameroun + 51.2% Tikar_Cameroun + 45.7% Hausa_Nigeria
Autosomal analysis for Chromosome 10
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 10:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.3166
Results of the nMonte algorithm (10% minimum value) Chromosome 10:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.3038
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: 0.2438
nMonte Results Visualization (1% minimum value) - Chromosome 10
Geographic distribution of populations - Chromosome 10
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Mandenka_west_Africa: 0.3912
- Hausa_Nigeria: 0.3981
- Wolof_Senegal: 0.4246
- Soninke_west_Africa: 0.4249
- Serere_Senegal: 0.4518
- Manjak_Guinea_Bissau: 0.4721
- Diola_west_Africa: 0.4774
- Bakoko_Cameroun: 0.5281
- Malinke_west_Africa: 0.5716
- Lemande_Cameroun: 0.6043
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.249
Combination: 7.0% Hema_DR_Kongo + 93.0% Hausa_Nigeria -
Distance: 0.313
Combination: 5.4% Hema_DR_Kongo + 94.6% Mandenka_west_Africa -
Distance: 0.359
Combination: 7.1% Hema_DR_Kongo + 92.9% Diola_west_Africa -
Distance: 0.361
Combination: 2.4% FR_Centre_Val_De_Loire + 97.6% Hausa_Nigeria -
Distance: 0.362
Combination: 2.3% NL_Gelderland + 97.7% Hausa_Nigeria
Best combinations of 3 populations:
-
Distance: 0.355
Combination: 1.7% FR_Hauts-de-France + 15.2% Bakoko_Cameroun + 83.1% Hausa_Nigeria -
Distance: 0.357
Combination: 1.3% ES_Castilla-La_Mancha + 9.9% Makua_Mozambique + 88.8% Hausa_Nigeria -
Distance: 0.412
Combination: 1.0% FR_West + 10.7% Bafut_Cameroun + 88.3% Soninke_west_Africa -
Distance: 0.415
Combination: 1.2% UK_Yorkshire_Humber + 1.6% Xun_Angola + 97.2% Serere_Senegal -
Distance: 0.416
Combination: 1.3% NL_Drenthe + 7.7% Diola_west_Africa + 91.0% Soninke_west_Africa
Best combinations of 4 populations:
-
Distance: 0.415
Combination: 1.1% FR_Ile-de-France + 2.4% Kwangali_Angola + 2.3% Diola_west_Africa + 94.2% Soninke_west_Africa -
Distance: 0.465
Combination: 1.1% UK_Scotland_Southern-Uplands + 1.8% FR_Champagne-Ardenne + 16.5% Duala_Cameroun + 80.7% Malinke_west_Africa -
Distance: 0.478
Combination: 2.3% NL_Overijssel + 1.5% ES_Valencia + 10.0% Mbo_Cameroun + 86.1% Malinke_west_Africa -
Distance: 0.479
Combination: 1.9% UK_Scotland_south-west + 1.9% Portugal_South + 4.2% Ngumba_Cameroun + 92.0% Malinke_west_Africa -
Distance: 0.564
Combination: 2.1% UK_England_North-East + 1.6% Portugal_Norte + 53.8% Lemande_Cameroun + 42.5% Bambara_Mali
Autosomal analysis for Chromosome 11
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 11:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.4481
Results of the nMonte algorithm (10% minimum value) Chromosome 11:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.3933
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: 0.3591
nMonte Results Visualization (1% minimum value) - Chromosome 11
Geographic distribution of populations - Chromosome 11
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Tikar_Cameroun: 0.5208
- Kwangali_Angola: 0.5447
- Duala_Cameroun: 0.5484
- Bafut_Cameroun: 0.5648
- Bamoun_Cameroun: 0.5734
- Mbo_Cameroun: 0.5968
- Makua_Mozambique: 0.6095
- Aghem_Cameroun: 0.6251
- Bakongo: 0.6514
- Bakoko_Cameroun: 0.6577
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.484
Combination: 79.2% Kwangali_Angola + 20.8% Brong_Ghana -
Distance: 0.491
Combination: 74.6% Kwangali_Angola + 25.4% Wolof_Senegal -
Distance: 0.503
Combination: 2.0% UK_England_North-West + 98.0% Tikar_Cameroun -
Distance: 0.503
Combination: 2.0% UK_West-Midlands + 98.0% Tikar_Cameroun -
Distance: 0.503
Combination: 2.0% UK_England_North-East + 98.0% Tikar_Cameroun
Best combinations of 3 populations:
-
Distance: 0.447
Combination: 4.9% NL_Limburg + 50.3% Tikar_Cameroun + 44.8% Mende_Sierra_Leone -
Distance: 0.448
Combination: 3.9% UK_England_North-East + 46.0% Duala_Cameroun + 50.1% Mende_Sierra_Leone -
Distance: 0.456
Combination: 39.2% Makua_Mozambique + 8.0% Bakola_Cameroun + 52.8% Mossi_Burkina_Faso -
Distance: 0.457
Combination: 4.5% UK_England_North-West + 68.4% Tikar_Cameroun + 27.1% Brong_Ghana -
Distance: 0.462
Combination: 4.2% UK_Shetland + 69.9% Tikar_Cameroun + 25.9% Brong_Ghana
Best combinations of 4 populations:
-
Distance: 0.441
Combination: 2.9% ES_Andalusia_North + 5.4% Xun_Angola + 13.4% Duala_Cameroun + 78.4% Mende_Sierra_Leone -
Distance: 0.459
Combination: 3.8% NL_Limburg + 37.6% Kwangali_Angola + 5.5% Congo_Pygmy + 53.1% Mossi_Burkina_Faso -
Distance: 0.467
Combination: 1.9% FR_Hauts-de-France + 38.6% Kwangali_Angola + 29.8% Makua_Mozambique + 29.7% Igbo_Nigeria -
Distance: 0.488
Combination: 5.4% NL_Overijssel + 21.5% Mbo_Cameroun + 4.8% Fulani_Eastern + 68.4% Mende_Sierra_Leone -
Distance: 0.494
Combination: 1.7% UK_Ulster + 10.8% Makua_Mozambique + 73.3% Tikar_Cameroun + 14.2% Mandenka_west_Africa
Autosomal analysis for Chromosome 12
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 12:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.3192
Results of the nMonte algorithm (10% minimum value) Chromosome 12:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.3107
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: 1.2912
nMonte Results Visualization (1% minimum value) - Chromosome 12
Geographic distribution of populations - Chromosome 12
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Malawi: 1.6429
- Fulani_Sahel: 1.6603
- Makua_Mozambique: 1.8082
- Mbukushu_Angola: 1.9738
- Fulani_west_Africa: 2.0051
- Fang_Gabon: 2.0120
- Duala_Cameroun: 2.0237
- Ovambo_Angola: 2.0325
- Bangwa_Cameroun: 2.0715
- Kaba_CAR: 2.0822
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.315
Combination: 72.1% Malawi + 27.9% Hema_DR_Kongo -
Distance: 1.418
Combination: 64.4% Mbukushu_Angola + 35.6% Hema_DR_Kongo -
Distance: 1.425
Combination: 13.0% FR_Alsace + 87.0% Malawi -
Distance: 1.432
Combination: 12.7% FR_Franche_Comte + 87.3% Malawi -
Distance: 1.432
Combination: 12.5% ES_Huelva + 87.5% Malawi
Best combinations of 3 populations:
-
Distance: 1.338
Combination: 2.0% FR_Bourgogne + 68.0% Makua_Mozambique + 30.1% Hema_DR_Kongo -
Distance: 1.340
Combination: 1.3% IRL_Leinster + 67.8% Makua_Mozambique + 30.8% Hema_DR_Kongo -
Distance: 1.419
Combination: 10.4% UK_England_North-East + 77.2% Malawi + 12.4% Fulani_west_Africa -
Distance: 1.427
Combination: 6.8% NL_Drenthe + 6.0% ES_Valencia + 87.2% Malawi -
Distance: 1.429
Combination: 9.4% Flemish + 3.3% ES_Navarra_central-south + 87.3% Malawi
Best combinations of 4 populations:
-
Distance: 1.408
Combination: 4.4% NL_Groningen + 4.3% Portugal_Norte + 68.3% Malawi + 23.0% Fulani_Sahel -
Distance: 1.556
Combination: 3.8% ES_Navarra_central-south + 34.0% Bakoko_Cameroun + 3.1% Congo_Pygmy + 59.1% Fulani_Sahel -
Distance: 1.556
Combination: 2.8% NL_Utrecht + 9.3% FR_Normandy + 7.7% Khwe_Angola + 80.2% Makua_Mozambique -
Distance: 1.564
Combination: 3.2% UK_England_North-East + 9.1% FR_Centre_Val_De_Loire + 1.8% ES_Andalusia_South + 85.8% Makua_Mozambique -
Distance: 1.566
Combination: 4.9% UK_England_South-East + 3.0% FR_Ile-de-France + 6.2% ES_Huelva + 85.9% Makua_Mozambique
Autosomal analysis for Chromosome 13
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 13:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.3587
Results of the nMonte algorithm (10% minimum value) Chromosome 13:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.3587
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: 0.3676
nMonte Results Visualization (1% minimum value) - Chromosome 13
Geographic distribution of populations - Chromosome 13
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Yoruba_Nigeria: 0.3587
- Esan_Nigeria: 0.4264
- Nankam_Ghana: 0.5009
- Kasem_Ghana: 0.5468
- Mossi_Burkina_Faso: 0.5486
- Dogon_Mali: 0.5740
- Brong_Ghana: 0.6196
- Akan_Ghana: 0.6358
- Bambara_Mali: 0.6857
- Igbo_Nigeria: 0.7027
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:
Best combinations of 3 populations:
Best combinations of 4 populations:
Autosomal analysis for Chromosome 14
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 14:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.6346
Results of the nMonte algorithm (10% minimum value) Chromosome 14:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.6116
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: 0.5795
nMonte Results Visualization (1% minimum value) - Chromosome 14
Geographic distribution of populations - Chromosome 14
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Kaba_CAR: 0.7369
- Bangwa_Cameroun: 0.7411
- Ovambo_Angola: 0.8683
- Bakongo: 0.8747
- Ngumba_Cameroun: 0.9017
- Bamoun_Cameroun: 0.9399
- Bakoko_Cameroun: 0.9595
- Duala_Cameroun: 0.9920
- Makua_Mozambique: 1.0008
- Mbo_Cameroun: 1.0109
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.676
Combination: 4.6% UK_England_North-West + 95.4% Bangwa_Cameroun -
Distance: 0.676
Combination: 4.5% UK_North_Wales + 95.5% Bangwa_Cameroun -
Distance: 0.676
Combination: 4.6% NL_Gelderland + 95.4% Bangwa_Cameroun -
Distance: 0.677
Combination: 4.5% FR_Finistere + 95.5% Bangwa_Cameroun -
Distance: 0.677
Combination: 4.5% UK_England_South-East + 95.5% Bangwa_Cameroun
Best combinations of 3 populations:
-
Distance: 0.614
Combination: 6.1% Bakola_Cameroun + 70.8% Kaba_CAR + 23.1% Igbo_Nigeria -
Distance: 0.645
Combination: 4.4% Portugal_South + 67.9% Kaba_CAR + 27.7% Mende_Sierra_Leone -
Distance: 0.652
Combination: 3.0% ES_Alava + 61.8% Kaba_CAR + 35.2% Mbo_Cameroun -
Distance: 0.652
Combination: 5.0% UK_Scotland_Highlands + 68.0% Kaba_CAR + 27.0% Igbo_Nigeria -
Distance: 0.663
Combination: 5.5% FR_Hauts-de-France + 72.1% Kaba_CAR + 22.4% Yoruba_Nigeria
Best combinations of 4 populations:
-
Distance: 0.598
Combination: 3.2% IRL_Munster + 6.1% Bedza_Cameroun + 65.1% Kaba_CAR + 25.6% Esan_Nigeria -
Distance: 0.640
Combination: 3.5% UK_Orkney + 5.0% Mbukushu_Angola + 59.6% Kaba_CAR + 31.9% Mbo_Cameroun -
Distance: 0.647
Combination: 3.2% ES_Valencia + 1.1% Khwe_Angola + 60.2% Kaba_CAR + 35.6% Mbo_Cameroun -
Distance: 0.651
Combination: 1.2% UK_Shetland + 1.9% IRL_Munster + 60.4% Bangwa_Cameroun + 36.5% Kaba_CAR -
Distance: 0.686
Combination: 2.2% IRL_Leinster + 2.4% FR_Franche_Comte + 75.8% Kaba_CAR + 19.6% Nankam_Ghana
Autosomal analysis for Chromosome 15
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 15:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.8064
Results of the nMonte algorithm (10% minimum value) Chromosome 15:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.6260
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: 0.5987
nMonte Results Visualization (1% minimum value) - Chromosome 15
Geographic distribution of populations - Chromosome 15
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Fang_Gabon: 0.8689
- Ovambo_Angola: 0.8908
- Ngumba_Cameroun: 0.9068
- Mbukushu_Angola: 0.9516
- Makua_Mozambique: 1.0094
- Bakongo: 1.0710
- Kwangali_Angola: 1.0865
- Duala_Cameroun: 1.1094
- Malawi: 1.1651
- Bangwa_Cameroun: 1.1798
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.661
Combination: 9.1% NL_Overijssel + 90.9% Ovambo_Angola -
Distance: 0.663
Combination: 9.6% FR_Lorraine + 90.4% Ngumba_Cameroun -
Distance: 0.667
Combination: 9.4% UK_East-Midlands + 90.6% Ngumba_Cameroun -
Distance: 0.673
Combination: 9.1% NL_Zuid_Holland + 90.9% Ovambo_Angola -
Distance: 0.677
Combination: 8.9% UK_England_South-East + 91.1% Ovambo_Angola
Best combinations of 3 populations:
-
Distance: 0.659
Combination: 7.9% NL_Noord-Holland + 86.2% Ngumba_Cameroun + 5.9% Fulani_Eastern -
Distance: 0.669
Combination: 9.2% Flemish + 89.6% Ngumba_Cameroun + 1.2% Fulani_Sahel -
Distance: 0.670
Combination: 8.3% UK_Scotland_south-west + 1.1% ES_Castilla-La_Mancha + 90.7% Ngumba_Cameroun -
Distance: 0.674
Combination: 9.7% UK_Yorkshire_Humber + 85.7% Ngumba_Cameroun + 4.6% Bambara_Mali -
Distance: 0.677
Combination: 7.7% UK_England_North-East + 1.3% ES_Castilla_y_Leon + 91.1% Ovambo_Angola
Best combinations of 4 populations:
-
Distance: 0.649
Combination: 8.8% NL_Overijssel + 2.0% Portugal_South + 82.0% Ngumba_Cameroun + 7.2% Esan_Nigeria -
Distance: 0.661
Combination: 9.2% FR_Lorraine + 10.6% Baka_Cameroun + 33.9% Bakongo + 46.3% Manjak_Guinea_Bissau -
Distance: 0.668
Combination: 6.0% UK_Ulster + 4.2% ES_Extremadura + 83.8% Ngumba_Cameroun + 6.0% Brong_Ghana -
Distance: 0.670
Combination: 9.9% NL_Limburg + 6.9% Baka_Cameroun + 48.3% Bakongo + 34.9% Mbo_Cameroun -
Distance: 0.674
Combination: 7.9% UK_Yorkshire_Humber + 1.9% ES_Huelva + 86.9% Ngumba_Cameroun + 3.4% Mossi_Burkina_Faso
Autosomal analysis for Chromosome 16
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 16:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.5227
Results of the nMonte algorithm (10% minimum value) Chromosome 16:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.4702
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: 0.4527
nMonte Results Visualization (1% minimum value) - Chromosome 16
Geographic distribution of populations - Chromosome 16
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Ngumba_Cameroun: 0.6085
- Ovambo_Angola: 0.6603
- Fang_Gabon: 0.7246
- Bakongo: 0.7691
- Bangwa_Cameroun: 0.8002
- Mbukushu_Angola: 0.8946
- Kaba_CAR: 0.8988
- Kwangali_Angola: 0.8992
- Duala_Cameroun: 0.9183
- Bamoun_Cameroun: 0.9338
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.554
Combination: 90.7% Bangwa_Cameroun + 9.3% Congo_Pygmy -
Distance: 0.578
Combination: 92.3% Ngumba_Cameroun + 7.7% Fulani_Eastern -
Distance: 0.581
Combination: 2.8% ES_Huelva + 97.2% Ngumba_Cameroun -
Distance: 0.581
Combination: 2.7% Portugal_Centro + 97.3% Ngumba_Cameroun -
Distance: 0.581
Combination: 2.8% ES_Galicia + 97.2% Ngumba_Cameroun
Best combinations of 3 populations:
-
Distance: 0.583
Combination: 2.1% NL_Drenthe + 95.5% Ngumba_Cameroun + 2.4% Fulani_west_Africa -
Distance: 0.583
Combination: 1.5% NL_Friesland + 1.1% ES_La_Rioja + 97.3% Ngumba_Cameroun -
Distance: 0.673
Combination: 1.6% NL_Noord_Brabant + 4.0% Portugal_Norte + 94.4% Bakongo -
Distance: 0.674
Combination: 1.2% UK_North_Wales + 4.3% Portugal_Lisboa + 94.4% Bakongo -
Distance: 0.675
Combination: 5.1% FR_Corsica + 73.5% Bakongo + 21.4% Bangwa_Cameroun
Best combinations of 4 populations:
-
Distance: 0.581
Combination: 1.4% FR_Franche_Comte + 1.8% ES_Cataluna + 6.5% Lemande_Cameroun + 90.3% Ngumba_Cameroun -
Distance: 0.631
Combination: 1.2% UK_Scotland_north-east + 1.5% FR_Champagne-Ardenne + 73.4% Ovambo_Angola + 23.8% Bangwa_Cameroun -
Distance: 0.701
Combination: 1.0% NL_Groningen + 1.8% FR_Finistere + 21.0% Aghem_Cameroun + 76.1% Fang_Gabon -
Distance: 0.709
Combination: 1.2% UK_East-Anglia + 1.4% FR_Corsica + 88.9% Fang_Gabon + 8.5% Kasem_Ghana -
Distance: 0.711
Combination: 2.1% FR_Franche_Comte + 88.5% Fang_Gabon + 7.7% Akan_Ghana + 1.6% Fulani_west_Africa
Autosomal analysis for Chromosome 17
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 17:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.8818
Results of the nMonte algorithm (10% minimum value) Chromosome 17:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.7991
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: 0.7977
nMonte Results Visualization (1% minimum value) - Chromosome 17
Geographic distribution of populations - Chromosome 17
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Mbukushu_Angola: 1.1112
- Kwangali_Angola: 1.1264
- Makua_Mozambique: 1.1333
- Ovambo_Angola: 1.1572
- Duala_Cameroun: 1.1595
- Bakongo: 1.1648
- Bamoun_Cameroun: 1.1791
- Tikar_Cameroun: 1.1801
- Ngumba_Cameroun: 1.2187
- Fang_Gabon: 1.2188
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.939
Combination: 67.5% Bamoun_Cameroun + 32.5% Fulani_west_Africa -
Distance: 1.063
Combination: 5.5% ES_Andalusia_South + 94.5% Kwangali_Angola -
Distance: 1.065
Combination: 5.4% ES_Asturias + 94.6% Kwangali_Angola -
Distance: 1.067
Combination: 5.2% ES_Cantabria + 94.8% Kwangali_Angola -
Distance: 1.069
Combination: 5.2% ES_Valencia + 94.8% Kwangali_Angola
Best combinations of 3 populations:
-
Distance: 0.958
Combination: 38.6% Ngumba_Cameroun + 35.1% Diola_west_Africa + 26.2% Fulani_Eastern -
Distance: 0.991
Combination: 8.4% Portugal_Norte + 50.4% Mbukushu_Angola + 41.2% Akan_Ghana -
Distance: 0.994
Combination: 8.2% ES_Islas_Baleares + 37.6% Mbukushu_Angola + 54.2% Mende_Sierra_Leone -
Distance: 0.996
Combination: 8.3% FR_Centre_Val_De_Loire + 37.0% Mbukushu_Angola + 54.7% Mende_Sierra_Leone -
Distance: 1.005
Combination: 4.7% UK_Ulster + 54.4% Mbukushu_Angola + 40.9% Wolof_Senegal
Best combinations of 4 populations:
-
Distance: 1.000
Combination: 3.4% UK_England_South-East + 4.7% FR_Bourgogne + 56.2% Mbukushu_Angola + 35.8% Esan_Nigeria -
Distance: 1.012
Combination: 7.9% NL_Zuid_Holland + 1.4% FR_South + 39.9% Fang_Gabon + 50.8% Brong_Ghana -
Distance: 1.016
Combination: 1.8% UK_East-Anglia + 5.1% NL_Overijssel + 61.1% Mbukushu_Angola + 32.0% Nankam_Ghana -
Distance: 1.031
Combination: 7.5% UK_East-Midlands + 2.9% IRL_Leinster + 23.3% Duala_Cameroun + 66.3% Mende_Sierra_Leone -
Distance: 1.033
Combination: 3.6% ES_Navarra_central-south + 62.2% Kwangali_Angola + 8.4% Fulani_Sahel + 25.8% Wolof_Senegal
Autosomal analysis for Chromosome 18
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 18:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.1857
Results of the nMonte algorithm (10% minimum value) Chromosome 18:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.0334
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: 0.9548
nMonte Results Visualization (1% minimum value) - Chromosome 18
Geographic distribution of populations - Chromosome 18
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Fang_Gabon: 1.5591
- Mbukushu_Angola: 1.5778
- Ovambo_Angola: 1.6357
- Ngumba_Cameroun: 1.6437
- Makua_Mozambique: 1.6787
- Malawi: 1.7669
- Kwangali_Angola: 1.7706
- Duala_Cameroun: 1.8018
- Bakongo: 1.8067
- Fulani_west_Africa: 1.8859
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.104
Combination: 16.4% FR_Bearn + 83.6% Mbukushu_Angola -
Distance: 1.114
Combination: 15.5% ES_Navarra_north-east + 84.5% Fang_Gabon -
Distance: 1.146
Combination: 15.6% FR_Bearn + 84.4% Fang_Gabon -
Distance: 1.226
Combination: 14.5% ES_Huesca + 85.5% Fang_Gabon -
Distance: 1.247
Combination: 14.6% ES_Andalusia_South + 85.4% Mbukushu_Angola
Best combinations of 3 populations:
-
Distance: 1.125
Combination: 15.1% ES_Navarra_north-east + 7.6% Xun_Angola + 77.2% Bakongo -
Distance: 1.253
Combination: 12.8% ES_Huelva + 79.7% Ovambo_Angola + 7.4% Bedza_Cameroun -
Distance: 1.255
Combination: 13.1% ES_La_Rioja + 5.5% Bakola_Cameroun + 81.4% Ngumba_Cameroun -
Distance: 1.256
Combination: 14.0% ES_La_Rioja + 82.9% Fang_Gabon + 3.1% Mende_Sierra_Leone -
Distance: 1.274
Combination: 8.2% UK_North_Wales + 68.6% Fang_Gabon + 23.2% Fulani_west_Africa
Best combinations of 4 populations:
-
Distance: 1.195
Combination: 15.0% ES_West_Bizkaia + 13.6% Makua_Mozambique + 18.9% Congo_Pygmy + 52.5% Esan_Nigeria -
Distance: 1.254
Combination: 3.9% ES_Castilla_y_Leon + 19.0% Xun_Angola + 23.9% Fulani_west_Africa + 53.1% Manjak_Guinea_Bissau -
Distance: 1.273
Combination: 11.9% Portugal_Lisboa + 28.3% Makua_Mozambique + 46.3% Bamoun_Cameroun + 13.4% Bedza_Cameroun -
Distance: 1.292
Combination: 9.3% Flemish + 3.6% NL_Noord_Brabant + 76.6% Kwangali_Angola + 10.5% Bedza_Cameroun -
Distance: 1.297
Combination: 2.9% UK_England_North-East + 6.3% FR_Corsica + 79.2% Makua_Mozambique + 11.6% Bakola_Cameroun
Autosomal analysis for Chromosome 19
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 19:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.8794
Results of the nMonte algorithm (10% minimum value) Chromosome 19:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.8564
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: 0.8097
nMonte Results Visualization (1% minimum value) - Chromosome 19
Geographic distribution of populations - Chromosome 19
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Malinke_west_Africa: 0.9462
- Mende_Sierra_Leone: 0.9472
- Bambara_Mali: 0.9474
- Serere_Senegal: 0.9517
- Manjak_Guinea_Bissau: 0.9533
- Soninke_west_Africa: 0.9579
- Igbo_Nigeria: 0.9585
- Brong_Ghana: 0.9648
- Diola_west_Africa: 0.9712
- Mandenka_west_Africa: 0.9720
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.812
Combination: 7.0% FR_Hauts-de-France + 93.0% Brong_Ghana -
Distance: 0.814
Combination: 6.9% NL_Limburg + 93.1% Brong_Ghana -
Distance: 0.818
Combination: 6.8% UK_Ulster + 93.2% Brong_Ghana -
Distance: 0.819
Combination: 6.7% NL_Drenthe + 93.3% Brong_Ghana -
Distance: 0.819
Combination: 6.7% ES_Cataluna + 93.3% Brong_Ghana
Best combinations of 3 populations:
-
Distance: 0.814
Combination: 4.6% NL_Gelderland + 2.4% ES_Andalusia_South + 93.0% Brong_Ghana -
Distance: 0.814
Combination: 1.8% UK_South_Wales + 5.2% FR_Provence + 93.1% Brong_Ghana -
Distance: 0.815
Combination: 5.4% NL_Utrecht + 1.5% ES_Burgos + 93.1% Brong_Ghana -
Distance: 0.815
Combination: 3.9% Flemish + 3.0% FR_Central + 93.1% Brong_Ghana -
Distance: 0.816
Combination: 5.1% UK_West-Midlands + 1.8% ES_Huesca + 93.1% Brong_Ghana
Best combinations of 4 populations:
-
Distance: 0.849
Combination: 4.2% NL_Noord-Holland + 2.3% Portugal_Lisboa + 67.6% Nankam_Ghana + 25.9% Mende_Sierra_Leone -
Distance: 0.866
Combination: 3.2% NL_Groningen + 1.3% Walloon + 93.2% Bambara_Mali + 2.3% Fulani_west_Africa -
Distance: 0.866
Combination: 3.5% NL_Gelderland + 1.1% FR_Finistere + 93.3% Bambara_Mali + 2.2% Fulani_west_Africa -
Distance: 0.867
Combination: 1.3% UK_Ulster + 2.8% Walloon + 1.1% Portugal_Centro + 94.8% Bambara_Mali -
Distance: 0.868
Combination: 4.6% FR_Corsica + 1.4% FR_Hautes_Pyrenees + 55.7% Igbo_Nigeria + 38.4% Mossi_Burkina_Faso
Autosomal analysis for Chromosome 20
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 20:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.0357
Results of the nMonte algorithm (10% minimum value) Chromosome 20:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.8539
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: 0.8247
nMonte Results Visualization (1% minimum value) - Chromosome 20
Geographic distribution of populations - Chromosome 20
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Kaba_CAR: 1.1174
- Bangwa_Cameroun: 1.2074
- Bakoko_Cameroun: 1.3417
- Wolof_Senegal: 1.3528
- Manjak_Guinea_Bissau: 1.3757
- Makua_Mozambique: 1.3762
- Bamoun_Cameroun: 1.3862
- Bakongo: 1.3995
- Lemande_Cameroun: 1.4041
- Aghem_Cameroun: 1.4050
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.952
Combination: 14.8% FR_Alsace + 85.2% Lemande_Cameroun -
Distance: 0.961
Combination: 14.7% FR_Hauts-de-France + 85.3% Lemande_Cameroun -
Distance: 0.967
Combination: 14.1% NL_Zuid_Holland + 85.9% Manjak_Guinea_Bissau -
Distance: 0.971
Combination: 14.3% UK_Yorkshire_Humber + 85.7% Lemande_Cameroun -
Distance: 0.972
Combination: 14.3% Portugal_Lisboa + 85.7% Lemande_Cameroun
Best combinations of 3 populations:
-
Distance: 0.896
Combination: 11.9% ES_Andalusia_South + 41.6% Kaba_CAR + 46.4% Dogon_Mali -
Distance: 0.922
Combination: 18.8% FR_Hauts-de-France + 2.9% Bamoun_Cameroun + 78.3% Dogon_Mali -
Distance: 0.930
Combination: 18.5% FR_Bourgogne + 4.9% Aghem_Cameroun + 76.6% Dogon_Mali -
Distance: 0.938
Combination: 18.0% UK_East-Anglia + 71.1% Dogon_Mali + 11.0% Wolof_Senegal -
Distance: 0.948
Combination: 17.2% FR_Corsica + 14.0% Bakoko_Cameroun + 68.8% Dogon_Mali
Best combinations of 4 populations:
-
Distance: 0.884
Combination: 9.3% UK_Shetland + 3.7% Portugal_Centro + 46.5% Kaba_CAR + 40.5% Yoruba_Nigeria -
Distance: 0.890
Combination: 11.0% NL_Friesland + 1.0% ES_Aragon + 49.9% Kaba_CAR + 38.1% Brong_Ghana -
Distance: 0.936
Combination: 14.0% NL_Drenthe + 4.3% ES_Aragon + 6.4% Aghem_Cameroun + 75.3% Dogon_Mali -
Distance: 0.938
Combination: 10.4% UK_Shetland + 34.1% Kaba_CAR + 53.8% Lemande_Cameroun + 1.7% Fulani_Sahel -
Distance: 0.962
Combination: 2.0% UK_England_South-East + 8.6% FR_Bourgogne + 4.0% FR_Centre_Val_De_Loire + 85.4% Lemande_Cameroun
Autosomal analysis for Chromosome 21
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 21:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 1.4809
Results of the nMonte algorithm (10% minimum value) Chromosome 21:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 1.3762
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: 1.3717
nMonte Results Visualization (1% minimum value) - Chromosome 21
Geographic distribution of populations - Chromosome 21
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Wolof_Senegal: 1.7396
- Makua_Mozambique: 1.7601
- Soninke_west_Africa: 1.7659
- Manjak_Guinea_Bissau: 1.7709
- Mandenka_west_Africa: 1.7723
- Mbo_Cameroun: 1.8086
- Serere_Senegal: 1.8130
- Bamoun_Cameroun: 1.8134
- Bakoko_Cameroun: 1.8136
- Diola_west_Africa: 1.8150
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 1.496
Combination: 13.5% FR_Centre_Val_De_Loire + 86.5% Soninke_west_Africa -
Distance: 1.500
Combination: 13.2% UK_England_North-East + 86.8% Soninke_west_Africa -
Distance: 1.502
Combination: 12.5% UK_North_Wales + 87.5% Wolof_Senegal -
Distance: 1.504
Combination: 13.2% UK_Scotland_south-west + 86.8% Mandenka_west_Africa -
Distance: 1.504
Combination: 12.6% FR_Bourgogne + 87.4% Wolof_Senegal
Best combinations of 3 populations:
-
Distance: 1.466
Combination: 18.0% UK_Scotland_south-west + 72.7% Brong_Ghana + 9.3% Mandenka_west_Africa -
Distance: 1.471
Combination: 6.3% UK_Scotland_Highlands + 27.0% Fulani_west_Africa + 66.7% Manjak_Guinea_Bissau -
Distance: 1.478
Combination: 17.8% FR_West + 58.9% Esan_Nigeria + 23.3% Wolof_Senegal -
Distance: 1.481
Combination: 18.4% UK_Orkney + 79.0% Brong_Ghana + 2.6% Serere_Senegal -
Distance: 1.486
Combination: 7.7% FR_Franche_Comte + 20.1% Fulani_west_Africa + 72.2% Wolof_Senegal
Best combinations of 4 populations:
-
Distance: 1.473
Combination: 16.0% NL_Drenthe + 1.0% Portugal_Norte + 61.5% Brong_Ghana + 21.4% Wolof_Senegal -
Distance: 1.506
Combination: 3.0% UK_England_South-East + 4.5% NL_Limburg + 5.0% FR_Ile-de-France + 87.4% Wolof_Senegal -
Distance: 1.509
Combination: 10.2% UK_Scotland_Southern-Uplands + 3.2% NL_Drenthe + 61.9% Mandenka_west_Africa + 24.6% Serere_Senegal -
Distance: 1.529
Combination: 8.6% ES_Andalusia_South + 5.5% ES_Islas_Baleares + 45.2% Igbo_Nigeria + 40.7% Wolof_Senegal -
Distance: 1.552
Combination: 11.5% FR_Corsica + 5.8% ES_Cantabria + 5.4% Mbo_Cameroun + 77.3% Mossi_Burkina_Faso
Autosomal analysis for Chromosome 22
This section presents a detailed breakdown of your genetic ancestry for each chromosome. We analyze each chromosome separately using three different thresholds (1%, 10%, and 25% minimum values) to show both major and minor genetic influences. The charts display the percentage of DNA from reference populations that most closely match your genetic signature, providing insights into your ancestral origins at the chromosomal level.
Results of the nMonte algorithm (25% minimum value) Chromosome 22:
This analysis uses the nMonte algorithm with a 25% minimum threshold, showing only the most significant genetic contributions. It filters out minor genetic signatures to highlight your major ancestral components, creating a simplified view of your genetic structure by focusing on populations that contribute at least 10% to your genetic makeup.
Distance of the resulting mixture: 0.9727
Results of the nMonte algorithm (10% minimum value) Chromosome 22:
This analysis applies a 10% minimum threshold, revealing more detailed genetic contributions than the 25% analysis. It captures moderately significant ancestry components while still filtering out very minor influences, providing a balanced view between major and minor genetic contributions to your ancestry.
Distance of the resulting mixture: 0.9242
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: 0.9110
nMonte Results Visualization (1% minimum value) - Chromosome 22
Geographic distribution of populations - Chromosome 22
Percentage share
10 most similar populations (Euclidean distance):
This section lists the 10 reference populations that are genetically most similar to your DNA for each chromosome, ranked by Euclidean distance (smaller values indicate greater similarity). These populations represent your closest genetic matches and can provide insights into your ancestral origins even if they don't appear in the percentage breakdown.
Heat Map for person with one dominant continental group is created using Top 1 distances.
- Fang_Gabon: 1.1158
- Mbukushu_Angola: 1.1278
- Ovambo_Angola: 1.2038
- Makua_Mozambique: 1.2259
- Ngumba_Cameroun: 1.2330
- Malawi: 1.2600
- Kwangali_Angola: 1.3149
- Duala_Cameroun: 1.3384
- Bakongo: 1.3794
- Tikar_Cameroun: 1.4692
Optimal Admixture Combinations
These analyses identify the optimal combinations of 2, 3, and 4 reference populations that best explain your genetic composition. Each combination shows the precise percentages that minimize the genetic distance to your DNA. These mathematically optimized models can reveal ancestry patterns that might not be apparent from individual population matches alone.
Best combinations of 2 populations:
-
Distance: 0.958
Combination: 9.2% FR_Bourgogne + 90.8% Mbukushu_Angola -
Distance: 0.959
Combination: 9.2% FR_Central + 90.8% Mbukushu_Angola -
Distance: 0.959
Combination: 9.1% NL_Utrecht + 90.9% Mbukushu_Angola -
Distance: 0.961
Combination: 9.0% NL_Overijssel + 91.0% Mbukushu_Angola -
Distance: 0.962
Combination: 9.0% UK_Yorkshire_Humber + 91.0% Mbukushu_Angola
Best combinations of 3 populations:
-
Distance: 0.933
Combination: 7.3% UK_East-Midlands + 87.3% Mbukushu_Angola + 5.4% Bedza_Cameroun -
Distance: 0.936
Combination: 6.4% ES_Cataluna + 5.1% Xun_Angola + 88.5% Mbukushu_Angola -
Distance: 0.941
Combination: 6.1% ES_Valencia + 11.4% Khwe_Angola + 82.5% Mbukushu_Angola -
Distance: 0.950
Combination: 6.0% ES_Alava + 87.8% Mbukushu_Angola + 6.2% Bedza_Cameroun -
Distance: 0.953
Combination: 4.5% UK_England_North-East + 85.6% Makua_Mozambique + 10.0% Baka_Cameroun
Best combinations of 4 populations:
-
Distance: 0.929
Combination: 5.9% Flemish + 1.4% FR_Champagne-Ardenne + 87.8% Mbukushu_Angola + 4.9% Bakola_Cameroun -
Distance: 0.933
Combination: 2.7% UK_England_South-West + 4.5% NL_Overijssel + 88.2% Mbukushu_Angola + 4.6% Baka_Cameroun -
Distance: 0.934
Combination: 5.2% IRL_Munster + 2.0% ES_Cantabria + 87.3% Mbukushu_Angola + 5.4% Bedza_Cameroun -
Distance: 0.948
Combination: 3.1% UK_Scotland_Southern-Uplands + 1.3% IRL_Leinster + 84.9% Makua_Mozambique + 10.7% Bakola_Cameroun -
Distance: 0.950
Combination: 2.9% UK_East-Midlands + 6.0% FR_Provence + 83.4% Kwangali_Angola + 7.6% Congo_Pygmy