Does anyone know good Admixture tests for very mixed individuals?

[Congolese Rice]

Because i am kinda struggling here to figure out my family origins, like, i'm getting a good idea where they COULD be from but i have no certification of any sorts, all tests tell me something different on Gedmatch, Eurogenes generally almost turns me into a fullblood european (aka inflating my european results as FACK, and the oracle distances are always very high on Eurogenes aswell so those tests from Eurogenes don't tend to work for me very well.) Ethiohelix french gives me pretty decent results, except for that some of my populations get sucked into the north african component because they don't have my reference populations. Dodecad tends to work pretty well actually along with PuntDNAL and Gedrosia. But any suggestions for me?

I'm generally around 28% African, 60%+ european, and around 12/14% middle eastern/eastern mediterranean, any ideas?

And usually on Gedrosia tests i am around 50-58% european, and 21% middle eastern which seems alot more likely since i am biracial, and a few aunts and uncles on my mother's side have afro-hair and all their hair colors are black. So it would make sense that they are partially middle eastern, i am basically the white man in my mom's family XD

[Medcrown]

It's very hard when you're only mixed European sometimes if you don't know your exact ancestry, never mind continental/racially mixed. The best thing you can do is create a spreadsheet for each test; run all the calculators you possibly can and take note of which admixture components keep reappearing and which populations keep reappearing in the oracles then settle for which one you know aligns/is most likely.

[Ilma]

The best would be to find the calculator which gives you as mixed population the closer distance to you and the most accurate to what you are.

[Congolese Rice]

The best would be to find the calculator which gives you as mixed population the closer distance to you and the most accurate to what you are.

A'ight thank you, i've gotten a few veryyy close results but i know they aren't 100% accurate because they aren't showing me my european populations, like here i'll post a test i did.


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.



Ancient Eurasia K6 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 K6 Oracle

Admix Results (sorted):

# Population Percent
1 West_European_Hunter_Gartherer 30.41
2 Natufian 27.80
3 Sub_Saharan 23.27
4 Ancestral_North_Eurasian 14.76
5 Ancestral_South_Eurasian 2.43
6 East_Asian 1.33


Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Moroccan @ 19.829216
2 Algerian @ 20.128599
3 Saharawi @ 23.076269
4 Libyan @ 26.812126
5 GoyetQ116 @ 26.845989
6 Bulgarian @ 27.757812
7 Hungarian @ 27.987680
8 Croatian @ 28.129498
9 Ukrainian @ 28.133993
10 Romanian @ 28.193634
11 Russian @ 28.265444
12 Spanish @ 28.375349
13 Steppe_MLBA @ 28.528473
14 Czech @ 28.753223
15 Scottish @ 28.829615
16 Norwegian @ 28.920019
17 English @ 28.928896
18 French @ 28.982012
19 Finnish @ 29.036514
20 Egyptian @ 29.395739

Using 2 populations approximation:
1 50% Lithuanian +50% Somali @ 6.762833


Using 3 populations approximation:
1 50% Lebanese +25% Mota +25% Motala12 @ 1.217615


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++
1 Hadza + Hungarian_KO1 + Iranian_Mazandarani + Palestinian @ 0.000000
2 Hadza + Iranian_Mazandarani + Palestinian + WHG @ 0.000000
3 BedouinA + Hadza + Hungarian_KO1 + Iran_ChL @ 0.279306
4 BedouinA + Hadza + Iran_ChL + WHG @ 0.279306
5 Armenia_ChL + BedouinA + Hadza + SHG @ 0.467851
6 Hadza + Hungarian_KO1 + Jordanian + Kurd_F @ 0.507335
7 Hadza + Jordanian + Kurd_F + WHG @ 0.507335
8 Hadza + Hungarian_KO1 + Iran_LN + Jordanian @ 0.539715
9 Hadza + Iran_LN + Jordanian + WHG @ 0.539715
10 Hadza + Hungarian_KO1 + Iranian_Shirazi + Palestinian @ 0.581022
11 Hadza + Iranian_Shirazi + Palestinian + WHG @ 0.581022
12 Hadza + Hungarian_KO1 + Jordanian + Kurd_C @ 0.644375
13 Hadza + Jordanian + Kurd_C + WHG @ 0.644375
14 Armenia_ChL + BedouinA + Hadza + Motala12 @ 0.709980
15 Hadza + Hungarian_KO1 + Iranian_Shirazi + Lebanese @ 0.712197
16 Hadza + Iranian_Shirazi + Lebanese + WHG @ 0.712197
17 Kumyk + Libyan + Masai + SHG @ 0.781313
18 Hadza + Hungarian_KO1 + Iranian_Mazandarani + Jordanian @ 0.782944
19 Hadza + Iranian_Mazandarani + Jordanian + WHG @ 0.782944
20 Hadza + Hungarian_KO1 + Iran_ChL + Palestinian @ 0.811005

Done.

[Congolese Rice]

It's very hard when you're only mixed European sometimes if you don't know your exact ancestry, never mind continental/racially mixed. The best thing you can do is create a spreadsheet for each test; run all the calculators you possibly can and take note of which admixture components keep reappearing and which populations keep reappearing in the oracles then settle for which one you know aligns/is most likely.

Alright thank you my friend, i will try to do that and when i'm done i'll probably post it again to see how accurate it really is. Because i am 100% certain about my european and african ancestry, there's no doubt on my mind that i am european and african. But the middle eastern keeps reappearing on every test, even on Eurogenes, the percentages on Eurogenes aren't that large. But Eurogenes also underestimates my african and asian percentages so i know they are incorrect in that way.

[Ilma]

A'ight thank you, i've gotten a few veryyy close results but i know they aren't 100% accurate because they aren't showing me my european populations, like here i'll post a test i did.


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.



Ancient Eurasia K6 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 K6 Oracle

Admix Results (sorted):

# Population Percent
1 West_European_Hunter_Gartherer 30.41
2 Natufian 27.80
3 Sub_Saharan 23.27
4 Ancestral_North_Eurasian 14.76
5 Ancestral_South_Eurasian 2.43
6 East_Asian 1.33


Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Moroccan @ 19.829216
2 Algerian @ 20.128599
3 Saharawi @ 23.076269
4 Libyan @ 26.812126
5 GoyetQ116 @ 26.845989
6 Bulgarian @ 27.757812
7 Hungarian @ 27.987680
8 Croatian @ 28.129498
9 Ukrainian @ 28.133993
10 Romanian @ 28.193634
11 Russian @ 28.265444
12 Spanish @ 28.375349
13 Steppe_MLBA @ 28.528473
14 Czech @ 28.753223
15 Scottish @ 28.829615
16 Norwegian @ 28.920019
17 English @ 28.928896
18 French @ 28.982012
19 Finnish @ 29.036514
20 Egyptian @ 29.395739

Using 2 populations approximation:
1 50% Lithuanian +50% Somali @ 6.762833


Using 3 populations approximation:
1 50% Lebanese +25% Mota +25% Motala12 @ 1.217615


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++
1 Hadza + Hungarian_KO1 + Iranian_Mazandarani + Palestinian @ 0.000000
2 Hadza + Iranian_Mazandarani + Palestinian + WHG @ 0.000000
3 BedouinA + Hadza + Hungarian_KO1 + Iran_ChL @ 0.279306
4 BedouinA + Hadza + Iran_ChL + WHG @ 0.279306
5 Armenia_ChL + BedouinA + Hadza + SHG @ 0.467851
6 Hadza + Hungarian_KO1 + Jordanian + Kurd_F @ 0.507335
7 Hadza + Jordanian + Kurd_F + WHG @ 0.507335
8 Hadza + Hungarian_KO1 + Iran_LN + Jordanian @ 0.539715
9 Hadza + Iran_LN + Jordanian + WHG @ 0.539715
10 Hadza + Hungarian_KO1 + Iranian_Shirazi + Palestinian @ 0.581022
11 Hadza + Iranian_Shirazi + Palestinian + WHG @ 0.581022
12 Hadza + Hungarian_KO1 + Jordanian + Kurd_C @ 0.644375
13 Hadza + Jordanian + Kurd_C + WHG @ 0.644375
14 Armenia_ChL + BedouinA + Hadza + Motala12 @ 0.709980
15 Hadza + Hungarian_KO1 + Iranian_Shirazi + Lebanese @ 0.712197
16 Hadza + Iranian_Shirazi + Lebanese + WHG @ 0.712197
17 Kumyk + Libyan + Masai + SHG @ 0.781313
18 Hadza + Hungarian_KO1 + Iranian_Mazandarani + Jordanian @ 0.782944
19 Hadza + Iranian_Mazandarani + Jordanian + WHG @ 0.782944
20 Hadza + Hungarian_KO1 + Iran_ChL + Palestinian @ 0.811005

Done.

Indeed these are quite extreme results but the last one gives you interesting pop in mix mode.

El Litvino could maybe help you about that BTW.

Also just found out this calculator but I think it's outside of Gedmatch and you need to run a program for it, myself I don't know how to use it but I guess if you ask for help in the thread some may explain to you how to process or run your results :

https://www.theapricity.com/forum/showthread.php?228131-updated-new-K15-World-calculator

[Congolese Rice]

The best would be to find the calculator which gives you as mixed population the closer distance to you and the most accurate to what you are.

Amount of times Middle Eastern/Asian keeps consistently occuring on my results:
==========
Ancient Eurasia K6:

Natufian 27.80%
Ancestral_North_Eurasian 14.76%
==========
Eurasia K9 ASI:

Early_Neolithic_Farmers 12.83%
SW_Asian 10.99%
Caucausus_Hunter_Gatherer 9.95%
==========
Gedrosia K3:

1 W_Eurasian 70.73%
2 SSA 24.68%
3 E_Eurasian 4.59%

Using 1 population approximation:
1 Yemen @ 6.961918
2 BedouinA @ 16.481928
3 Jordanian @ 21.215069

Using 2 populations approximation:
1 50% Chechen +50% Ethiopian_Jew @ 0.571766
2 50% Adygei +50% Ethiopian_Jew @ 0.682004
3 50% Ethiopian_Jew +50% Mordovian @ 1.463143
===========
Eurasia K14 Neolithic:

SW_Asian 7.71%
Kalash 2.26%
Afansievo_Yamnaya 12.57% ??? (idk if this is even middle eastern lol)
===========
Gedrosia K12:

SW_ASIAN 5.09%
BALOCHI 4.00%
CAUCASUS 8.65%
===========
Near East Neolithic K13:

ANATOLIA_NEOLITHIC 8.14%
IRAN_NEOLITHIC 3.15%
NATUFIAN 6.47%
CHG_EEF 31.15%
===========
puntDNAL K10 Ancient:

ENF 18.79%
CHG 15.58%
ASI 1.69%
===========
puntDNAL K12 Ancient:

Caucasus_HG 13.88%
Anatolian_NF 23.65%
Near_East 2.61%
South_Asian 2.26%
===========
puntDNAL K12 Modern:

Caucasus_HG 13.88%
Anatolian_NF 23.65%
Near_East 2.61%
South_Asian 2.26%
===========
puntDNAL K13 Global:

West_Asia 5.68%
SW_Asia 4.25%
South_Asia 1.55%
===========
puntDNAL K15:

Caucasian 4.67%
SW_Asian 3.33%
S_Indian 1.87%
===========
puntDNAL K8 African only:

1 Western_Semitic 69.68%

Using 1 population approximation:
1 S_Moroccan @ 6.626777
2 Mozabite @ 12.618099
3 Algerian @ 15.825878
===========
EthioHelix K10 + French:

North-Africa 14.08% (if im correct asian components also get sucked in here xd)

Using 1 population approximation:
1 egypt @ 28.546587
2 egyptans @ 29.966671
3 libya @ 37.318996
===========
EthioHelix K10 + Palestinian:

1 Palestinian 67.84% (the majority is probably my european side XD)

Using 1 population approximation:
1 sahara-occ @ 16.021397
2 libya @ 17.156704
3 morocco-s @ 17.804981
(I'm also just gonna skip the rest of EthioHelix cuz it aint accurate 4 me xd)
============
HarappaWorld:

Baloch 5.83%
SW-Asian 2.43%
Caucasian 4.67%
S-Indian 0.85%
============
Dodecad V3:

West_Asian 5.92%
South_Asian 1.19%
Northeast_Asian 1.28%
Southeast_Asian 0.87%
Southwest_Asian 1.90%
Northwest_African 0.32%
============
Dodecad Africa9:

NW_Africa 5.11%
SW_Asia 21.83%
============
Dodecad World9:

Caucasus_Gedrosia 8.57%
Southern 9.90%
South_Asian 1.18%
East_Asian 1.05%
============
Dodecad K7b:

West_Asian 8.72%
South_Asian 1.37%
Southern 9.40%
East_Asian 1.56%
============
Dodecad K12b:

Gedrosia 5.33%
Southeast_Asian 1.25%
South_Asian 1.12%
Southwest_Asian 2.84%
Caucasus 5.32%
(and now for the eurogenes -_-)
============
Eurogenes K13:

West_Asian 1.16%
East_Med 4.31%
Red_Sea 3.58%
South_Asian 1.39%
East_Asian 1.65%
Northeast_African 0.98%
============
Eurogenes EUtest V2 K15:

West_Asian - (look this is what i ment, eurogenes just kills my other percentages Dx)
East_Med 2.58%
Red_Sea 3.12%
South_Asian 1.17%
Southeast_Asian 1.19%
Northeast_African 0.76%
============
Eurogenes_ANE K7:

ANE 12.32%
ASE 2.34%
ENF 11.68%
============
Eurogenes K9b:

Southwest_Asian 6.41%
Northeast_Asian 0.26%
Southeast_Asian 2.53%
============
Eurogenes K9:

South Asian 1.30%
Caucasus 3.23%
Southwest Asian 2.65%
East Asian 0.60%
============
Eurogenes K10:

Southwest Asian 2.70%
Caucasus 3.37%
South Asian 1.21%
East Asian 0.58%
============
Eurogenes K11:

South Asian 1.07%
Caucasus 3.23%
Southwest Asian 2.62%
Volga-Ural 6.29% (i think this is russian though, right? Tatar or something?)
East Asian 0.41%
============
Eurogenes K12:

South Asian 1.06%
Caucasus 3.03%
Southwest Asian 2.55%
Volga-Ural 4.90%
East Asian 0.40%
(WHY DOES EUROGENES HAVE SO MANY TESTS END MY SUFFERING XD)
============
Eurogenes K12b:

West Central Asian 1.53%
South Asian 1.25%
Caucasus 2.17%
Southwest Asian 3.81%
East Asian 1.40%
(and so far Eurogenes K36 is the least accurate, even got my african wrong XD)
============
Eurogenes K36:

Arabian -
Armenian -
West_African 23.88% (< like srsly dafuq is that, sad ass calculator)
Near_Eastern 2.35%
North_Caucasian 0.95%
Indo-Chinese 0.41%
South_Asian -
Volga-Ural -
============
Eurogenes Hunter_Gatherer vs. Farmer:

Middle Eastern Herder 3.48%
Anatolian Farmer 4.23%
East Asian Farmer 0.80%
South Asian Hunter Gatherer 1.61%
============
Eurogenes Jtest:

ASHKENAZI 2.83%
EAST_MED 2.52%
WEST_ASIAN 1.73%
MIDDLE_EASTERN 1.92%
SOUTH_ASIAN 1.52%
EAST_ASIAN 0.41%
(and the Eurogenes EUtest is basically the same but without the jewish)
==============
MDLP K11:

Basal 5.40%
Iran-Mesolithic 1.63%
Neolithic 19.39%
ASI 0.05%
==============
MDLP K16 Modern:

Caucasian 15.64%
NearEast 2.49%
Neolithic 17.52%
==============
MDLP K23b:

Ancestral_Altaic 3.05%
South_Central_Asian 4.50%
South_Indian 0.60%
Caucasian 17.08%
Near_East 2.07%
North_African 0.06%
South_East_Asian 0.67%
==============
MDLP World-22:

West-Asian 5.50%
Indo-Iranian 1.68%
Near_East 4.59%
==============
MDLP World:

Caucaus_Parsia 7.72%
Middle_East 5.28%
Indian 0.81%
--------------
And that was the last damn test XD, and anyways imo i think this is pretty decent proof
that i indeed have middle eastern ancestry, every single test showed me atleast a degree
of Southwest/West asian ancestry.


And o, i'll check that one test out yeh, sounds interesting.