LivingDNA compared to GEDmatch

[Xtian]

Now that LivingDNA have integrated withe Gedmatch Genesis, you can look up your admixture under all of Gedmatch's models.

I'll go first:

I am from Southern Russia (Cossack country south of Rostov on Don)

Living DNA (updated today)

Europe 97%

Northeast Europe 67.9
Finland 8.4
Tuscany 5.9 weird
South Italy 2.1 weird
Germanic 5.8
Scandinavia 1.5
England and Wales (wtf?) 2.9 Literally impossible.

Unassigned 5.5

Eurogenes K13
# Population Percent
1 Baltic 44.29
2 North_Atlantic 22.33
3 West_Med 14.57
4 West_Asian 12.67
5 Siberian 2.8
6 Amerindian 1.81
7 South_Asian 0.63
8 Northeast_African 0.6
9 East_Asian 0.29

Strange that my West Asian (I assume this is Caucasian - Georgian, Chechen etc) does not appear in Livingdna.

I found the single population sharing incredibly accurate, here are my top 5
Single Population Sharing:

# Population (source) Distance
1 Ukrainian_Lviv 8.97
2 Ukrainian 9.36
3 Ukrainian_Belgorod 9.64
4 Southwest_Russian 10.29
5 Kargopol_Russian 10.81


I ran Jtest and found 0 Askenazi jewish, so I really dont know what my Mediterranean admixture is.

[FionnSneachta]

These are my LivingDNA results:
Southwest Scotland and Northern Ireland 36.4%
Ireland 19.6%
Southeast England 6.7%
Northwest Scotland 5.3%
South Central England 5%
South Wales 4.4%
Cornwall 4.1%
North Wales 3%
Devon 2.8%
South England 2.1%
Orkney 2.1%
Great Britain and Ireland (unassigned) 6.7%
Europe (unassigned) 1.8%

These are my Eurogenes K13 with LivingDNA
# Population Percent
1 North_Atlantic 57.03
2 Baltic 23.19
3 West_Med 8.82
4 West_Asian 8.15
5 South_Asian 1.61
6 Amerindian 0.66
7 East_Med 0.36
8 East_Asian 0.18

These are my top 10 single population sharing:
# Population (source) Distance
1 West_Scottish 5.37
2 Irish 5.73
3 Orcadian 7.11
4 North_Dutch 7.51
5 Norwegian 7.62
6 Danish 7.79
7 Southwest_English 8.14
8 Southeast_English 8.99
9 North_German 10.07
10 Swedish 10.65

Genesis with LivingDNA puts me as West Scottish which does match with LivingDNA (even though I'm Irish) and it also matches me with Orkney. I had the least amount of DNA attributed to Orkney according to LivingDNA. Danish and Norwegian come before any results from England and I have no match with the Welsh. Actually I don't think that Wales can be a results. I'd imagine that it would come above South Polish as my 20th result.

Out of curiosity I did Eurogenes K13 with my Ancestry DNA and here are the results:
# Population Percent
1 North_Atlantic 54.57
2 Baltic 25.12
3 West_Med 8.26
4 West_Asian 8.24
5 East_Med 1.28
6 South_Asian 1.24
7 Amerindian 1.2
8 Sub-Saharan 0.09

Sub-Saharan wasn't picked up in the LivingDNA sample

This is my single population sharing with Ancestry:
# Population (source) Distance
1 Irish 4.76
2 West_Scottish 4.91
3 Norwegian 5.22
4 North_Dutch 5.42
5 Danish 5.6
6 Orcadian 5.92
7 North_German 7.6
8 Southwest_English 7.94
9 Southeast_English 8
10 Swedish 8.12

In the case of the Ancestry sample, Orcadian is down to number 6. Norwegian is my third highest compared to fifth with the DNA sample. It also identifies me as Irish. In the mixed mode for the LivingDNA the only option as highest was West Scottish while with Ancestry there were 13 Irish and 7 West Scottish.

It's interesting that there can be variation between the two samples like that.

[A Norfolk L-M20]

English

Testing LDNA against 23andme on MDLP K16 Modern:

Living DNA:

MDLP K16 2xOracle and OracleX4

Admix Results (sorted):

# Population Percent
1 Neolithic 33.46
2 NorthEastEuropean 24.95
3 Caucasian 21.18
4 Steppe 20.09

Finished reading population data. 516 populations found.
16 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 German @ 2.971235
2 French @ 4.938001
3 French @ 4.981471
4 French @ 5.005161
5 French @ 6.227292
6 Welsh @ 6.605277
7 Scottish @ 7.101583
8 Scottish @ 7.196589
9 Scottish @ 7.286290
10 Scottish @ 7.358846

Using 2 populations approximation:
1 50% German +50% German @ 2.971235

Using 3 populations approximation:
1 50% German +25% German +25% German @ 2.971235

Using 4 populations approximation:
1 French + German + German + German @ 2.841595
2 German + German + German + German @ 2.971235
3 Belarusian + Bulgarian + French + German @ 3.040065
4 Bulgarian + German + Sorb + Spanish @ 3.045404
5 German + Hungarian + Serbian + Spanish @ 3.061682
6 German + Hungarian + Serbian + Spanish @ 3.084862
7 Belarusian + Bulgarian + German + Spanish @ 3.090217
8 Bulgarian + German + Pole + Spanish @ 3.098703
9 French + German + Hungarian + Serbian @ 3.100177
10 Bulgarian + French + German + Sorb @ 3.105597

Done.

23andMe:

MDLP K16 2xOracle and OracleX4

Admix Results (sorted):

# Population Percent
1 Neolithic 31.60
2 NorthEastEuropean 24.64
3 Caucasian 21.69
4 Steppe 21.61


Finished reading population data. 516 populations found.
16 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 German @ 2.670347
2 French @ 4.403525
3 French @ 4.535118
4 French @ 5.172350
5 French @ 5.361565
6 Scottish @ 5.715423
7 Welsh @ 5.736197
8 Scottish @ 5.826344
9 Scottish @ 5.992704
10 English @ 6.365803

Using 2 populations approximation:
1 50% German +50% German @ 2.670347

Using 3 populations approximation:
1 50% German +25% German +25% Irish @ 2.647219

Using 4 populations approximation:

1 Dutch + German + Italian + Orcadian @ 2.574775
2 Dutch + English + German + Italian @ 2.593724
3 Dutch + German + Italian + Scottish @ 2.612518
4 English + French + German + Serbian @ 2.615197
5 German + German + German + Irish @ 2.647219
6 Dutch + French + German + German @ 2.666276
7 German + German + German + German @ 2.670347
8 English + French + Italian + Pole @ 2.689145
9 French + German + German + German @ 2.689321
10 German + German + Italian + Norwegian @ 2.699579


Done.

[sktibo]

While my ancestry and 23andme kits have their differences, they do both look like the stats of the same person. My Living DNA numbers don't really resemble the other two as closely, in some Gedmatch calculators they look like a different person altogether, despite the similarities.
On a Living DNA facebook group David Nicholson posted about the raw data: "the next version will be having X data in it which will be July. We will update the files to have this." Would the lack of X data be affecting our oracle results? I'm assuming they would be but since I don't know for sure I figured I'd ask.

SNPs used in the evaluation:
Ancestry: 173922 SNPs used
23andme: 181540 SNPs used
Living DNA: 59555 SNPs used... less than half the other two!

[Xtian]

Yes it appears Welsh doesnt appear in Eurogenes, although Cornish does lol

Try MDLP

[FionnSneachta]

Yes it appears Welsh doesnt appear in Eurogenes, although Cornish does lol

Try MDLP

I'm not sure if you're messaging me but I think I'm the only one that mentioned Welsh. I tried MDLP K16 (not sure if this is the right calculator). It doesn't make much sense to me though.

Admix Results (sorted):
# Population Percent
1 NorthEastEuropean 29.38
2 Neolithic 26.91
3 Steppe 23.18
4 Caucasian 19.05

Least-squares method.
Using 1 population approximation (Top 10):
1 Dutch @ 2.955298
2 Swede @ 3.786030
3 Shetlandic @ 4.023024
4 Scottish @ 4.116901
5 German_Lipsian @ 4.462483
6 Irish @ 4.543685
7 Hungarian @ 4.550292
8 Scottish @ 4.742633
9 Scottish @ 4.778265
10 Pole @ 4.810902

Irish is my 6th result.

Using 2 populations approximation:
1 50% Orcadian +50% Pole @ 2.069715

Using 3 populations approximation:
1 50% Orcadian +25% Pole +25% Pole @ 2.069715

Using 4 populations approximation:
1 English + Norwegian + Pole + Pole @ 1.894922
2 English + Orcadian + Pole + Pole @ 1.922602
3 English + Pole + Pole + Scottish @ 1.923850
4 German + Irish + Lithuanian + Scottish @ 1.926219
5 Belarusian + German + Norwegian + Scottish @ 1.929430

Out of 20 options, Irish only comes up in option 4.

[FionnSneachta]

My previous post was about my LivingDNA sample. I forgot to check my Ancestry sample. They're quite different.

MDLP K16 2xOracle and OracleX4

Admix Results (sorted):
# Population Percent
1 Neolithic 28.01
2 NorthEastEuropean 27.20
3 Steppe 26.27
4 Caucasian 16.62
5 Indian 1.3

Neolithic is my top result instead of NorthEastEuropean. It also picked up some Indian.

Least-squares method.
Using 1 population approximation:
1 Scottish @ 2.297103
2 Orcadian @ 2.865710
3 English @ 3.040900
4 Irish @ 3.416888
5 Irish @ 3.427475
6 Shetlandic @ 3.542126
7 Irish @ 3.750789
8 Irish @ 3.769063
9 Scottish @ 3.872500
10 English @ 4.171660

Irish is up to 4 and all my top 5 are 'Celtic'. Dutch is at number 20 which was my top result for the LivingDNA sample.

Using 2 populations approximation:
1 50% English +50% Scottish @ 2.010336

Using 3 populations approximation:
1 50% Scottish +25% Scottish +25% Shetlandic @ 1.899516

Using 4 populations approximation:
1 English + Scottish + Scottish + Scottish @ 1.862559
2 Scottish + Scottish + Scottish + Shetlandic @ 1.899516
3 Scottish + Scottish + Scottish + Scottish @ 1.900916
4 Irish + Scottish + Scottish + Scottish @ 1.914708
5 Scottish + Scottish + Scottish + Scottish @ 1.919543

Irish is in 8 options out of 20 compared to only 1 option with the LivingDNA sample. I'm not saying that it completely matches with what I know but it's a lot better than the LivingDNA sample. It's very strange.

[firemonkey]

Mine for MDLP K16 Gedmatch 23andMe




Kit M812599

Admix Results (sorted):

# Population Percent
1 Neolithic 27.47
2 NorthEastEuropean 27.2
3 Steppe 22.66
4 Caucasian 19.43
5 Amerindian 1.08
6 Indian 1.04
7 NorthAfrican 0.7
8 Ancestor 0.23
9 Australian 0.18

Single Population Sharing:

# Population (source) Distance
1 Dutch 1.84
2 Scottish 1.99
3 Scottish 2.43
4 Irish 2.56
5 Shetlandic 2.6
6 Scottish 2.75
7 Scottish 3.05
8 Irish 3.14
9 English 3.2
10 German_Lipsian 3.22
11 Scottish 3.25
12 French 3.43
13 Irish 3.6
14 Irish 3.67
15 Irish 3.85
16 Hungarian 3.96
17 Welsh 4.02
18 German 4.12
19 English 4.18
20 Swede 4.43

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.4% Dutch + 46.6% Scottish @ 1.28
2 68.7% Dutch + 31.3% Irish @ 1.31
3 75.9% Dutch + 24.1% English @ 1.35
4 71.6% Dutch + 28.4% French @ 1.36
5 96.2% Dutch + 3.8% Basque @ 1.39
6 95.2% Dutch + 4.8% Spanish @ 1.4
7 77.1% Scottish + 22.9% Pole @ 1.4
8 62.7% Irish + 37.3% Pole @ 1.4
9 57.7% German_Lipsian + 42.3% English @ 1.42
10 50.7% Irish + 49.3% German_Lipsian @ 1.43
11 85.7% Dutch + 14.3% French @ 1.44
12 65.5% Dutch + 34.5% Shetlandic @ 1.45
13 94% Dutch + 6% Spanish @ 1.46
14 70.5% Dutch + 29.5% Scottish @ 1.47
15 72.1% Dutch + 27.9% English @ 1.48
16 51.2% English + 48.8% Pole @ 1.52
17 55.3% Scottish + 44.7% German_Lipsian @ 1.52
18 65.7% Irish + 34.3% Slovak @ 1.54
19 83.5% Dutch + 16.5% Orcadian @ 1.56
20 69.6% Scottish + 30.4% German_Lipsian @ 1.56

Least-squares method.

Using 1 population approximation:
1 Dutch @ 1.902381
2 Scottish @ 2.125359
3 Scottish @ 2.608324
4 Irish @ 2.808803
5 Shetlandic @ 2.912295
6 Scottish @ 3.068254
7 Scottish @ 3.420792
8 Irish @ 3.496096
9 English @ 3.498291
10 Scottish @ 3.510723
11 German_Lipsian @ 3.535520
12 French @ 3.732966
13 Irish @ 4.059118
14 Irish @ 4.114424
15 Hungarian @ 4.184584
16 Welsh @ 4.317031
17 German @ 4.390897
18 Irish @ 4.391536
19 English @ 4.742260
20 Swede @ 4.799861

Using 2 populations approximation:
1 50% Dutch +50% Scottish @ 1.251818


Using 3 populations approximation:
1 50% Dutch +25% German +25% Orcadian @ 1.184595


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++
1 Dutch + German + Pole + Scottish @ 1.018023
2 Dutch + German + Orcadian + Pole @ 1.093367
3 German + Irish + Pole + Scottish @ 1.121363
4 German + Irish + Orcadian + Pole @ 1.124148
5 German + Pole + Scottish + Scottish @ 1.125524
6 German + Orcadian + Pole + Scottish @ 1.181754
7 Dutch + Dutch + German + Orcadian @ 1.184595
8 Dutch + German_Lipsian + German + Scottish @ 1.189991
9 Dutch + Dutch + German + Scottish @ 1.196387
10 English + German_Lipsian + Irish + Pole @ 1.197942
11 German + Pole + Scottish + Scottish @ 1.198696
12 Dutch + German_Lipsian + German + Orcadian @ 1.199280
13 German + Pole + Scottish + Scottish @ 1.204004
14 Dutch + English + Pole + Scottish @ 1.221028
15 German + Orcadian + Pole + Scottish @ 1.232310
16 English + German_Lipsian + Irish + Pole @ 1.246604
17 Dutch + Dutch + English + German_Lipsian @ 1.248842
18 Dutch + Dutch + Scottish + Scottish @ 1.251818
19 German + Pole + Scottish + Shetlandic @ 1.253281
20 German + Irish + Pole + Scottish @ 1.265738

Gedmatch genesis-Living dna


Kit NG6639872

Admix Results (sorted):

# Population Percent
1 NorthEastEuropean 29.18
2 Neolithic 26.3
3 Steppe 22.21
4 Caucasian 18.87
5 Amerindian 1.72
6 NearEast 1.03
7 NorthAfrican 0.68
8 EastAfrican 0.01

Single Population Sharing:

# Population (source) Distance
1 Dutch 2.81
2 Swede 3.06
3 Hungarian 3.62
4 German_Lipsian 3.67
5 Pole 3.82
6 Scottish 4
7 Shetlandic 4.11
8 German 4.28
9 Irish 4.31
10 Sorb 4.46
11 Scottish 4.49
12 Scottish 4.51
13 Pole 4.59
14 Slovak 4.66
15 Scottish 4.69
16 Irish 4.84
17 Norwegian 4.84
18 German 4.93
19 Dane 5.2
20 Welsh 5.23

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.2% Pole + 39.8% Orcadian @ 1.8
2 53.9% Orcadian + 46.1% Hungarian @ 1.87
3 63.5% Norwegian + 36.5% Croat @ 1.9
4 54.3% Slovak + 45.7% Orcadian @ 1.91
5 64.2% Pole + 35.8% English @ 1.95
6 59.7% Icelandic + 40.3% Croat @ 1.97
7 69.1% Norwegian + 30.9% Serbian @ 1.98
8 65.7% Icelandic + 34.3% Serbian @ 2.05
9 59.1% German_Lipsian + 40.9% Norwegian @ 2.08
10 63.1% German_Lipsian + 36.9% Icelandic @ 2.08
11 62.1% Pole + 37.9% Scottish @ 2.09
12 54.3% Dutch + 45.7% Swede @ 2.1
13 62.3% Pole + 37.7% English @ 2.1
14 68.3% Norwegian + 31.7% Bosnian @ 2.1
15 57.8% Pole + 42.2% Irish @ 2.11
16 78.5% Norwegian + 21.5% Bulgarian @ 2.13
17 55.8% Slovak + 44.2% Scottish @ 2.17
18 68.2% Norwegian + 31.8% Croat @ 2.17
19 91% Pole + 9% Basque @ 2.17
20 53.1% Orcadian + 46.9% Ukrainians_west @ 2.18



Least-squares method.

Using 1 population approximation:
1 Dutch @ 2.926008
2 Swede @ 3.342661
3 Hungarian @ 3.698609
4 German_Lipsian @ 3.984896
5 Pole @ 4.185076
6 Scottish @ 4.205637
7 Shetlandic @ 4.426425
8 German @ 4.517450
9 Irish @ 4.668132
10 Scottish @ 4.807501
11 Scottish @ 4.835119
12 Sorb @ 4.848061
13 Pole @ 4.921724
14 German @ 5.019519
15 Scottish @ 5.105500
16 Slovak @ 5.127226
17 Irish @ 5.195277
18 Norwegian @ 5.475816
19 Dane @ 5.515959
20 Welsh @ 5.529289

Using 2 populations approximation:
1 50% Hungarian +50% Orcadian @ 1.874388


Using 3 populations approximation:
1 50% Hungarian +25% Orcadian +25% Orcadian @ 1.874388


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 Hungarian + Orcadian + Orcadian + Pole @ 1.753790
2 Croat + Norwegian + Orcadian + Pole @ 1.769909
3 Hungarian + Orcadian + Orcadian + Pole @ 1.785394
4 Croat + Icelandic + Orcadian + Pole @ 1.791654
5 Belarusian + Croat + Orcadian + Orcadian @ 1.798763
6 Hungarian + Orcadian + Orcadian + Ukrainians_west @ 1.812423
7 Hungarian + Orcadian + Orcadian + Slovak @ 1.815472
8 English + Orcadian + Pole + Ukrainians_west @ 1.822320
9 Irish + Orcadian + Pole + Ukrainians_west @ 1.825604
10 Hungarian + Norwegian + Orcadian + Pole @ 1.835510
11 Irish + Norwegian + Pole + Pole @ 1.835801
12 Croat + Norwegian + Norwegian + Pole @ 1.837730
13 English + Norwegian + Pole + Pole @ 1.842648
14 German_Lipsian + Orcadian + Pole + Swede @ 1.846264
15 Croat + Norwegian + Orcadian + Sorb @ 1.849223
16 Orcadian + Pole + Pole + Scottish @ 1.849631
17 English + Pole + Pole + Swede @ 1.859293
18 Croat + Icelandic + Norwegian + Pole @ 1.862042
19 Belarusian + Orcadian + Orcadian + Serbian @ 1.862569
20 Latvian + Montenegrian + Orcadian + Orcadian @ 1.863340

[jortita]

MDLP K16 Living DNA

Admix Results (sorted):

# Population Percent
1 Indian 50.33
2 SouthEastAsian 24.21
3 Caucasian 11.05
4 NorthAfrican 5.49
5 Australian 4.63
6 NorthEastEuropean 2.05
7 Siberian 1.68
8 Arctic 0.47
9 Oceanic 0.09

Single Population Sharing:

# Population (source) Distance
1 Dhaka 10.14
2 Mawasi 11.23
3 Sahariya 11.8
4 Gond 12.06
5 Brahmin 12.18
6 Dhurwa 12.29
7 Bhunjia 12.3
8 Ho 12.38
9 Savara 12.75
10 Santhal 12.97
11 Asur 13.44
12 Kharia 13.5
13 Satnami 13.57
14 Munda 13.6
15 Orissa 14.15
16 Gadaba 14.42
17 Chenchu 14.89
18 Brahmin 15.12
19 Kapu 15.37
20 Nihali 15.42

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.1% Kanjars + 22.9% Bajo @ 4.69
2 79.9% Kanjars + 20.1% Lahu @ 5.14
3 78.8% Kanjars + 21.2% Vizayan @ 5.3
4 73.7% Kanjars + 26.3% Batak @ 5.32
5 79.7% Kanjars + 20.3% Vietnamese @ 5.32
6 79.2% Kanjars + 20.8% Lebbo @ 5.33
7 76.6% Kanjars + 23.4% Thai @ 5.34
8 80.5% Kanjars + 19.5% Kinh @ 5.41
9 77.3% Kanjars + 22.7% Cambodian @ 5.44
10 80.5% Kanjars + 19.5% She @ 5.45
11 74.7% Marwadi + 25.3% Bajo @ 5.5
12 80.3% Kanjars + 19.7% Miao @ 5.5
13 79.7% Kanjars + 20.3% Filipino @ 5.53
14 80.2% Kanjars + 19.8% Han @ 5.54
15 75.4% Ho + 24.6% Makrani @ 5.56
16 81.2% Kanjars + 18.8% Dai @ 5.58
17 74.1% Ho + 25.9% Balochi @ 5.59
18 80.3% Kanjars + 19.7% Luzon @ 5.6
19 80.4% Lambadi + 19.6% Bajo @ 5.61
20 80% Kanjars + 20% Tujia @ 5.61

MDLP K16 2xOracle and OracleX4

Admix Results (sorted):

# Population Percent
1 Indian 50.33
2 SouthEastAsian 24.21
3 Caucasian 11.05
4 NorthAfrican 5.49
5 Australian 4.63
6 NorthEastEuropean 2.05
7 Siberian 1.68


Finished reading population data. 516 populations found.
16 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Dhaka @ 11.302628
2 Mawasi @ 12.738899
3 Sahariya @ 13.473023
4 Gond @ 13.717515
5 Dhurwa @ 13.779627
6 Bhunjia @ 13.828852
7 Ho @ 13.834723
8 Savara @ 13.960518
9 Brahmin @ 14.124897
10 Santhal @ 14.869287
11 Kharia @ 14.917476
12 Munda @ 15.050477
13 Satnami @ 15.496194
14 Asur @ 15.565965
15 Orissa @ 15.795794
16 Gadaba @ 15.913022
17 Brahmin @ 16.267025
18 Chenchu @ 17.012241
19 Lambadi @ 17.188282
20 Kapu @ 17.318724

Using 2 populations approximation:
1 50% Bonda +50% Brahmin @ 7.204932


Using 3 populations approximation:
1 50% Kanjars +25% Kanjars +25% Thai @ 5.456225


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 Bajo + Kanjars + Kanjars + Marwadi @ 5.088440
2 Bajo + Kanjars + Kanjars + Kanjars @ 5.093038
3 Batak + Kanjars + Kanjars + Kanjars @ 5.377255
4 Bajo + Kanjars + Marwadi + Marwadi @ 5.408930
5 Bajo + Kalash + Kanjars + Sakilli @ 5.412015
6 Kanjars + Kanjars + Kanjars + Thai @ 5.456225
7 Bajo + Kalash + Kanjars + Madiga @ 5.458842
8 Bajo + Kanjars + Kanjars + Velama @ 5.467368
9 Bajo + Hakkipikki + Kalash + Kanjars @ 5.482527
10 Bajo + Kalash + Kanjars + Vysya @ 5.496388
11 Cambodian + Kalash + Kanjars + Vysya @ 5.523746
12 Bajo + Gupta + Kanjars + Kanjars @ 5.528492
13 Bajo + Kanjars + Kanjars + Vysya @ 5.533945
14 Bajo + Kanjars + Kanjars + Thakur @ 5.535974
15 Bajo + GujaratiB + Kanjars + Kanjars @ 5.546002
16 Bajo + Chamar + Kalash + Kanjars @ 5.549936
17 Batak + Kanjars + Kanjars + Lambadi @ 5.553133
18 Kalash + Kanjars + Kurumba + Thai @ 5.553273
19 Bajo + Kanjars + Kanjars + Scheduled_Caste @ 5.559608
20 Kalash + Kanjars + Thai + Vysya @ 5.566620

Ancestry DNA Gedmatch Results

Admix Results (sorted):

# Population Percent
1 Indian 47.84
2 SouthEastAsian 21.98
3 Caucasian 12.97
4 Siberian 4.82
5 Steppe 3.26
6 Australian 2.76
7 Oceanic 2.22
8 NorthAfrican 1.93
9 Neolithic 1.14
10 NorthEastEuropean 0.9
11 Arctic 0.18

Single Population Sharing:

# Population (source) Distance
1 Dhaka 9.36
2 Brahmin 9.52
3 Sahariya 13.4
4 Gond 13.52
5 Mawasi 13.98
6 Orissa 14.18
7 Savara 14.21
8 Bhunjia 14.28
9 Brahmin 14.28
10 Satnami 14.64
11 Lambadi 14.67
12 Dhurwa 14.72
13 Ho 15.03
14 Santhal 15.14
15 Munda 15.42
16 Kapu 15.75
17 Asur 15.8
18 Chenchu 15.82
19 Kharia 15.87
20 Srivastava 15.97

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 71.7% Brahmin + 28.3% Burmese @ 2.84
2 80.8% Meghawal + 19.2% Han @ 3.01
3 81.1% Meghawal + 18.9% She @ 3.02
4 81% Meghawal + 19% Miao @ 3.03
5 80.6% Meghawal + 19.4% Tujia @ 3.03
6 64.3% Brahmin + 35.7% Khasi @ 3.06
7 80.5% Meghawal + 19.5% Vietnamese @ 3.06
8 72.1% Brahmin + 27.9% Garo @ 3.12
9 80.8% Meghawal + 19.2% Lahu @ 3.15
10 74.7% Brahmin + 25.3% Mizo @ 3.16
11 74.7% Brahmin + 25.3% Kuki @ 3.24
12 60.1% Sindhi + 39.9% Khasi @ 3.32
13 79.2% Brahmin + 20.8% Tujia @ 3.33
14 77% Kanjars + 23% Tu @ 3.34
15 80.4% Meghawal + 19.6% Filipino @ 3.35
16 77.5% Brahmin + 22.5% Yi @ 3.36
17 63.5% Meena + 36.5% Khasi @ 3.4
18 79.4% Brahmin + 20.6% Han @ 3.42
19 77.4% Brahmin + 22.6% Naxi @ 3.47
20 73.5% Meghawal + 26.5% Burmese @ 3.48

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Brahmin @ 10.299515
2 Dhaka @ 11.032147
3 Sahariya @ 15.612145
4 Gond @ 15.811946
5 Mawasi @ 15.855755
6 Savara @ 16.050488
7 Bhunjia @ 16.197849
8 Orissa @ 16.229666
9 Dhurwa @ 16.688076
10 Brahmin @ 16.715115
11 Lambadi @ 16.756229
12 Ho @ 16.874804
13 Satnami @ 17.188353
14 Munda @ 17.206955
15 Vaish @ 17.250879
16 Kharia @ 17.610569
17 Santhal @ 17.612364
18 Srivastava @ 17.847898
19 Gadaba @ 18.045929
20 Kshatriya @ 18.046679

Using 2 populations approximation:
1 50% Bonda +50% Kashmiri_Pandit @ 3.796148


Using 3 populations approximation:
1 50% Kanjars +25% Mizo +25% Gujjar @ 2.132640


Using 4 populations approximation:
1 Balochi + Burmese + Chenchu + Kanjars @ 1.856974
2 Brahui + Burmese + Chenchu + Kanjars @ 1.950292
3 Gupta + Kanjars + Mizo + Gujjar @ 2.019450
4 Gupta + Kanjars + Kuki + Gujjar @ 2.055400
5 Balochi + Ho + Kanjars + Kusunda @ 2.075599
6 Burmese + Kanjars + Kanjars + Kashmiri_Pandit @ 2.077007
7 Burmese + Jatt + Kanjars + Lambadi @ 2.083665
8 Kanjars + Mizo + Gujjar + Velama @ 2.088613
9 Balochi + Chenchu + Garo + Kanjars @ 2.094614
10 Balochi + Burmese + Chenchu + Muslim @ 2.117791
11 Balochi + Burmese + Chenchu + Srivastava @ 2.123033
12 Balochi + Burmese + Chenchu + Lambadi @ 2.129786
13 Kanjars + Kanjars + Mizo + Gujjar @ 2.132640
14 Kanjars + Kuki + Gujjar + Velama @ 2.145883
15 Brahui + Ho + Kanjars + Kusunda @ 2.153921
16 Balochi + Burmese + Kanjars + Paniya @ 2.154229
17 Burmese + Kanjars + Kashmiri_Pandit + Naidu @ 2.155740
18 Brahui + Chenchu + Garo + Kanjars @ 2.158971
19 Brahui + Burmese + Chenchu + Lambadi @ 2.163503
20 Brahui + Burmese + Chenchu + Srivastava @ 2.168182

The genotype rate of LDNA is less than one third of ADNA at 22095 SNPs

[Xtian]

@ Jortita interesting that your closest single population is a distance of 10, thats quite off.
Do you think the 4 populations approximate is more accurate?