So it seems that i MIGHT not have turkic ancestry at all, it's either probably turkish or general middle eastern, however i read in my post that the best calculators were PuntDNAL K15, Eurasia K9 ASI, puntDNAL K13, Eurogenes K13, and Near east Neolithic K13. And it could very well be that my Middle eastern is either Azerbaijani, Georgian Jewish, or Moroccan Jewish, check it out for urself here v.


puntDNAL K15 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

puntDNAL K15 Oracle

Admix Results (sorted):

# Population Percent
1 NE_European 39.81
2 W_African 22.40
3 Mediterranean 20.10
4 Caucasian 4.67
5 SW_Asian 3.33
6 Wht_Nile_River 1.95
7 S_Indian 1.87
8 S_African 1.78
9 Amerindian 1.70


Finished reading population data. 157 populations found.
15 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Dominican @ 24.020893
2 Puerto_Rican @ 24.298521
3 Brazilian @ 25.502184
4 Bosnian @ 27.491690
5 Serbian @ 28.060055
6 Croatian @ 28.343191
7 Macedonian @ 28.432854
8 Hungarian @ 28.517359
9 Bulgarian @ 29.112097
10 French @ 29.155235
11 South_German @ 29.243359
12 Romanian @ 29.275833
13 Austrian @ 29.290848
14 Slovenian @ 29.464832
15 Utahn_White @ 29.691618
16 Irish @ 30.165932
17 Montenegrin @ 30.223896
18 Orcadian @ 30.270660
19 English @ 30.422798
20 North_German @ 30.643888

Using 2 populations approximation:
1 50% Mordovian +50% Dominican @ 9.841628


Using 3 populations approximation:
1 50% Polish +25% Brazilian +25% Bamoun @ 2.675046


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++
1 Lithuanian + Austrian + Brazilian + Bamoun @ 2.408654
2 Lithuanian + Austrian + Brazilian + Hausa @ 2.470209
3 Belarusian + Norwegian + Brazilian + Bamoun @ 2.474155
4 Belarusian + Norwegian + Brazilian + Hausa @ 2.509561
5 Lithuanian + Orcadian + Brazilian + Bamoun @ 2.529531
6 Lithuanian + Hungarian + Brazilian + Bamoun @ 2.530462
7 Lithuanian + Slovenian + Brazilian + Bamoun @ 2.572115
8 Lithuanian + Hungarian + Brazilian + Hausa @ 2.577483
9 Lithuanian + Orcadian + Brazilian + Hausa @ 2.580079
10 Belarusian + Swedish + Brazilian + Bamoun @ 2.583693
11 Belarusian + Austrian + Brazilian + Bamoun @ 2.602720
12 Belarusian + North_German + Brazilian + Bamoun @ 2.615109
13 Belarusian + Swedish + Brazilian + Hausa @ 2.624533
14 Lithuanian + English + Brazilian + Bamoun @ 2.628392
15 Lithuanian + Slovenian + Brazilian + Hausa @ 2.629133
16 Belarusian + Austrian + Brazilian + Hausa @ 2.640426
17 Belarusian + Norwegian + Brazilian + Igbo @ 2.650678
18 Lithuanian + Norwegian + Brazilian + Bamoun @ 2.652748
19 Belarusian + North_German + Brazilian + Hausa @ 2.653582
20 Lithuanian + North_German + Brazilian + Bamoun @ 2.655403

Done.

Eurasia K9 ASI 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

Eurasia K9 ASI Oracle

Admix Results (sorted):

# Population Percent
1 WHG 29.34
2 W_African 23.73
3 Early_Neolithic_Farmers 12.83
4 Eastern_Hunter_Gatherer 11.00
5 SW_Asian 10.99
6 Caucausus_Hunter_Gatherer 9.95
7 Siberian_E_Asian 1.36


Finished reading population data. 118 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Croatian @ 28.575293
2 Bulgarian @ 28.892004
3 Hungarian @ 28.923838
4 Tatars @ 29.229963
5 French @ 29.661369
6 Spanish @ 30.022039
7 Scottish @ 30.152250
8 Ukrainian @ 30.655100
9 English @ 30.797085
10 Czech @ 30.858952
11 Albanian @ 31.292952
12 RISE_baBb @ 31.334000
13 Norwegian @ 31.686451
14 Greek @ 32.301922
15 Tuscan @ 32.335289
16 Russian @ 32.594883
17 Icelandic @ 33.031067
18 French_South @ 33.087711
19 Belarusian @ 33.269363
20 Maltese @ 33.510956

Using 2 populations approximation:
1 50% Icelandic +50% Masai @ 13.956566


Using 3 populations approximation:
1 50% Estonian +25% Lebanese +25% Yoruba @ 3.545751


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++
1 Azeri + Esan + RISE_baBb + RISE_baHu @ 2.793200
2 Azeri + RISE_baBb + RISE_baHu + Yoruba @ 2.793200
3 Azeri + RISE_baBb + RISE_baHu + Yoruba @ 2.793200
4 Esan + Georgian_Jew + RISE_baBb + RISE_baHu @ 2.857446
5 Georgian_Jew + RISE_baBb + RISE_baHu + Yoruba @ 2.857446
6 Georgian_Jew + RISE_baBb + RISE_baHu + Yoruba @ 2.857446
7 Esan + Iraqi_Jew + RISE_baHu + RISE_baSin @ 3.071455
8 Iraqi_Jew + RISE_baHu + RISE_baSin + Yoruba @ 3.071455
9 Iraqi_Jew + RISE_baHu + RISE_baSin + Yoruba @ 3.071455
10 Esan + Kurd_N + RISE_baBb + RISE_baHu @ 3.088535
11 Kurd_N + RISE_baBb + RISE_baHu + Yoruba @ 3.088535
12 Kurd_N + RISE_baBb + RISE_baHu + Yoruba @ 3.088535
13 Armenian + Esan + RISE_baBb + RISE_baHu @ 3.122958
14 Armenian + RISE_baBb + RISE_baHu + Yoruba @ 3.122958
15 Armenian + RISE_baBb + RISE_baHu + Yoruba @ 3.122958
16 Esan + Georgian_Jew + RISE_baHu + RISE_baUne @ 3.131417
17 Georgian_Jew + RISE_baHu + RISE_baUne + Yoruba @ 3.131417
18 Georgian_Jew + RISE_baHu + RISE_baUne + Yoruba @ 3.131417
19 Esan + Georgian_Jew + RISE_baHu + RISE_baSin @ 3.272715
20 Georgian_Jew + RISE_baHu + RISE_baSin + Yoruba @ 3.272715

Done.


puntDNAL K13 Global 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

puntDNAL K13 Oracle

Admix Results (sorted):

# Population Percent
1 NE_Europe 35.57
2 West_Africa 23.95
3 SW_Europe 22.56
4 West_Asia 5.68
5 SW_Asia 4.25
6 SE_Asia 1.91
7 South_Africa 1.76
8 Americas 1.72
9 South_Asia 1.55


Finished reading population data. 191 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Dominican @ 25.509233
2 Puerto_Rican @ 26.872232
3 Moldavian @ 28.535376
4 Slovene @ 29.581152
5 Bosnian @ 29.632000
6 Slovak @ 29.707397
7 Serbian @ 29.792387
8 Croatian @ 29.914762
9 Romanian @ 29.996811
10 Hungarian @ 30.024382
11 Montenegrin @ 30.706724
12 Utahn_European @ 30.953417
13 English @ 31.022839
14 German_South @ 31.063839
15 Tatar @ 31.078302
16 Belgian @ 31.201607
17 Bulgarian @ 31.343496
18 Macedonian @ 31.422127
19 German_North @ 31.526752
20 Ukrainian @ 31.626781

Using 2 populations approximation:
1 50% Estonian +50% Fulani @ 7.019713


Using 3 populations approximation:
1 50% Belarusian +25% Mende +25% Puerto_Rican @ 3.315076


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
1 German_North + Latvian + Mende + Puerto_Rican @ 3.066755
2 German_North + Lithuanian + Mende + Puerto_Rican @ 3.105816
3 Lithuanian + Mende + Puerto_Rican + Ukrainian @ 3.153295
4 Estonian + Mende + Puerto_Rican + Ukrainian @ 3.167444
5 Latvian + Mende + Puerto_Rican + Ukrainian @ 3.204257
6 Mende + Polish + Puerto_Rican + Swedish @ 3.207870
7 Mende + Polish + Puerto_Rican + Ukrainian @ 3.211292
8 Estonian + German_North + Mende + Puerto_Rican @ 3.234853
9 Belarusian + Mende + Polish + Puerto_Rican @ 3.237150
10 Latvian + Mende + Puerto_Rican + Slovak @ 3.293792
11 Lithuanian + Mende + Puerto_Rican + Slovak @ 3.312962
12 Belarusian + Belarusian + Mende + Puerto_Rican @ 3.315076
13 Latvian + Mende + Puerto_Rican + Slovene @ 3.333631
14 Mende + Norwegian + Polish + Puerto_Rican @ 3.335741
15 Irish + Latvian + Mende + Puerto_Rican @ 3.346961
16 Latvian + Mende + Norwegian + Puerto_Rican @ 3.351008
17 Latvian + Mende + Puerto_Rican + Utahn_European @ 3.362958
18 English + Latvian + Mende + Puerto_Rican @ 3.372988
19 Esan + German_North + Latvian + Puerto_Rican @ 3.378747
20 Hungarian + Latvian + Mende + Puerto_Rican @ 3.379604

Done.


Eurogenes K13 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 North_Atlantic 36.81
2 Sub-Saharan 24.57
3 Baltic 18.02
4 West_Med 5.58
5 East_Med 4.31
6 Red_Sea 3.58
7 Amerindian 1.95
8 East_Asian 1.65
9 South_Asian 1.39
10 West_Asian 1.16


Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 West_German @ 28.275991
2 South_Dutch @ 28.654209
3 North_German @ 29.337296
4 French @ 29.696918
5 Austrian @ 29.803694
6 Danish @ 30.138964
7 Southeast_English @ 30.275948
8 East_German @ 30.337721
9 North_Dutch @ 30.371040
10 Orcadian @ 30.498859
11 Swedish @ 30.633257
12 Hungarian @ 30.878122
13 Southwest_English @ 31.042757
14 Irish @ 31.073391
15 Norwegian @ 31.246965
16 West_Scottish @ 31.271595
17 North_Swedish @ 32.149139
18 Spanish_Galicia @ 32.801380
19 Portuguese @ 32.989491
20 Serbian @ 33.021770

Using 2 populations approximation:
1 50% Bantu_N.E. +50% Norwegian @ 20.753597


Using 3 populations approximation:
1 50% Danish +25% Southeast_English +25% Yoruban @ 6.098992


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++
1 Danish + Danish + Southeast_English + Yoruban @ 6.098992
2 Danish + Danish + Southeast_English + Yoruban @ 6.098992
3 Danish + Danish + Danish + Yoruban @ 6.113932
4 Danish + Danish + Danish + Yoruban @ 6.113932
5 Danish + North_German + Southeast_English + Yoruban @ 6.136460
6 Danish + North_German + Southeast_English + Yoruban @ 6.136460
7 Danish + Danish + North_Dutch + Yoruban @ 6.160882
8 Danish + Danish + North_Dutch + Yoruban @ 6.160882
9 Danish + North_Dutch + Southeast_English + Yoruban @ 6.177789
10 Danish + North_Dutch + Southeast_English + Yoruban @ 6.177789
11 Danish + Danish + North_German + Yoruban @ 6.198391
12 Danish + Danish + North_German + Yoruban @ 6.198391
13 Danish + Danish + Orcadian + Yoruban @ 6.204801
14 Danish + Danish + Orcadian + Yoruban @ 6.204801
15 North_Dutch + North_German + Southeast_English + Yoruban @ 6.205835
16 North_Dutch + North_German + Southeast_English + Yoruban @ 6.205835
17 Danish + North_German + Orcadian + Yoruban @ 6.220039
18 Danish + North_German + Orcadian + Yoruban @ 6.220039
19 Danish + Danish + South_Dutch + Yoruban @ 6.226091
20 Danish + Danish + South_Dutch + Yoruban @ 6.226091

Done. (I dont think this one is as accurate for ME personally because the distances are fairly high even for mixed.)


Near East Neolithic K13 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

gedrosia K13 Oracle

Admix Results (sorted):

# Population Percent
1 CHG_EEF 31.15
2 SUB_SAHARAN 24.30
3 EHG 12.37
4 SHG_WHG 11.99
5 ANATOLIA_NEOLITHIC 8.14
6 NATUFIAN 6.47
7 IRAN_NEOLITHIC 3.15


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Bulgarian @ 28.397739
2 Romanian @ 28.538292
3 Hungarian @ 29.118114
4 Croatian @ 29.431034
5 French @ 29.627888
6 Scottish @ 30.474810
7 Albanian @ 30.568562
8 Ukrainian @ 30.603056
9 English @ 30.663471
10 Greek @ 30.883257
11 Czech @ 31.076220
12 Russian @ 31.287584
13 Sicilian @ 31.529371
14 Jew_Ashkenazi @ 31.906914
15 Finnish @ 32.286736
16 Norwegian @ 32.532539
17 Icelandic @ 32.578087
18 Italian_South @ 33.288853
19 Europe_LNBA @ 33.343197
20 Turkish_Istanbul @ 33.454369

Using 2 populations approximation:
1 50% Icelandic +50% Masai @ 15.869522


Using 3 populations approximation:
1 50% Estonian +25% Gambian +25% Jew_Moroccan @ 3.256689


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++
1 Estonian + Estonian + Gambian + Jew_Moroccan @ 3.256689
2 Estonian + Gambian + Jew_Moroccan + Lithuanian @ 3.400155
3 Estonian + Estonian + Gambian + Jew_Libyan @ 3.451827
4 Gambian + Jew_Moroccan + Lithuanian + Russian @ 3.457308
5 Esan + Estonian + Estonian + Jew_Moroccan @ 3.486303
6 Estonian + Estonian + Jew_Moroccan + Yoruba @ 3.486303
7 Estonian + Gambian + Jew_Libyan + Lithuanian @ 3.514675
8 Finnish + Gambian + Jew_Moroccan + Lithuanian @ 3.520483
9 Estonian + Gambian + Icelandic + Jew_Moroccan @ 3.530380
10 Europe_LNBA + Gambian + Jew_Ashkenazi + Lithuanian @ 3.545897
11 Estonian + Gambian + Jew_Moroccan + Russian @ 3.555365
12 Estonian + Finnish + Gambian + Jew_Moroccan @ 3.572056
13 Esan + Estonian + Jew_Moroccan + Lithuanian @ 3.599187
14 Estonian + Jew_Moroccan + Lithuanian + Yoruba @ 3.599187
15 Estonian + Estonian + Gambian + Jew_Tunisian @ 3.610136
16 Esan + Estonian + Estonian + Jew_Libyan @ 3.611455
17 Estonian + Estonian + Jew_Libyan + Yoruba @ 3.611455
18 Gambian + Icelandic + Jew_Moroccan + Lithuanian @ 3.627000
19 Estonian + Gambian + Jew_Moroccan + Norwegian @ 3.627765
20 Gambian + Jew_Moroccan + Lithuanian + Lithuanian @ 3.635206

Done.




And i also calculated the amount of Middle eastern consistent results and i came out with results like these:

PuntDNAL K15: 8%

Eurasia K9 ASI: 33.77%

PuntDNAL K13: 9.93%

Eurogenes K13: 9.05%

Gedrosia K13: 48.91% (Anatolia_Neo + Natufian + Iran_Neo + CHG_EEF)

Gencove: 13% Eastern Mediterranean

DNA.LAND: 14% Eastern Mediterranean

GenePlaza: 14.9% Eastern Mediterranean

MyHeritage: 6.1% Middle eastern

AncestryDNA: 3% Middle eastern, 2% central asian


And if you want my kit number to test for yourself here you go, Kit Num: A959077

leave ur comments and thoughts down below lemme know what you think of my findings haha