23andMe Ancetsry Results Simulator/Inspired calculator

And for the canaries, yes I know they're more mixed with North African then mainland Spaniards because of the Guanches from the canaries, but what's interesting is that the one that I matched to get the 50% was only 10% North African and seemed to be around 10% Italian, as you can see when I took the Canaries out it matched the Portuguese and Sicilian, and other Spanish Samples :)
 
As I said before, the modern sampling for Canaries in G25 isn't good. A prove of overlapping with Portuguese is the fact that when we suppress the Spanish_Canaries from source data, the Portuguese grow a lot in the admixture results. See next my results without Canary Islanders. In my specific case, with rates of SSA that vary more or less between 3 ~ 5%, isn’t useful to know where they came from. The better is isolate all SSA as a unique ‘pure’ component to see better the European admixture. Unfortunately the indigenous in most of cases, touched vey little my autosomal admixture.

Target: Duarte_scaled
Distance: 0.0182% / 0.01819092 | ADC: 0.5x RC
53.1Portuguese
27.9Spanish_Galicia
15.4Spanish_Extremadura
3.6Biaka


Target: Duarte_scaled
Distance: 0.0137% / 0.01368251 | ADC: 0.25x RC
41.3Portuguese
31.2Spanish_Galicia
21.4Spanish_Cataluna
2.4Biaka
1.5Mbuti
1.2Afrikaner
1.0Amerindian_North


Target: Duarte_scaled
Distance: 0.0126% / 0.01263078
40.6Portuguese
22.3Spanish_Galicia
9.2Dutch
8.0Basque_Gipuzkoa_Southwest
6.0Sardinian
4.6Spanish_Andalucia
3.0Biaka
2.5Swiss_French
1.4Mbuti
1.3Spanish_Biscay
0.6Amerindian_North
0.5Pima

With two pops:

Target: Duarte_scaled
Distance: 0.0185% / 0.01853241 | R2P
29.2Portuguese:portugal4
19.7Portuguese:portugal11
19.2Portuguese:portugal6
15.7Portuguese:portugal1
4.5Portuguese:EBC_Portugal2
4.1Biaka:HGDP00460
3.4Portuguese:portugal2
1.9Portuguese:portugal14
1.2Portuguese:portugal7
1.1Portuguese:portugal15



Target: Duarte_scaled
Distance: 0.0185% / 0.01853241 | R2P
95.9Portuguese
4.1Biaka
 
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These are my results with only the Biaka & Mbuti samples:

Target: ΙωάννηςΓαβριήλ
Distance: 11.7596% / 0.11759615
45.6Spanish_Canarias

35.8Biaka

16.6Syrian

2.0Mayan

Not very good :(

Now after I add specific samples from the two opposite sides of Africa, Mozambique and Senegal, to represent well the populations:

Target: ΙωάννηςΓαβριήλ
Distance: 2.3617% / 0.02361748 | ADC: 0.25x RC
49.0Spanish_Canarias

30.0Mandenka

16.4Makhuwa

4.6Syrian

And after I take Spanish Canarias out:

Target: ΙωάννηςΓαβριήλ
Distance: 1.6662% / 0.01666189 | ADC: 0.25x RC
27.6Mandenka

22.0Makhuwa

20.4Basque_Araba

18.2Portuguese

11.8Syrian

When I take only these Syrian samples out
Code:
Syrian:Ber5R35,0.03187,0.133034,-0.033941,-0.056525,-0.006155,-0.02761,-0.005875,0,0.005931,0.002916,0.012991,-0.010641,0.012933,0.001101,-0.005565,-0.005701,-0.019818,0.00114,-0.000754,0.003877,0.014724,0.000742,0.002958,-0.006748,-0.002634
Syrian:Ber13R7,0.035285,0.129988,-0.065242,-0.079135,-0.021235,-0.028168,0.00235,-0.006,0.013703,0.008747,0.006008,-0.002698,0.015907,-0.00523,-0.005293,0.0118,0.009779,-0.000633,0.007919,0.004627,-0.002371,-0.004575,-0.014297,0,-0.003233
Syrian:Ber12AL16,0.021626,0.112724,-0.05506,-0.059755,-0.023081,-0.029841,-0.00423,0.006461,0.003681,-0.015855,0.006983,-0.008692,0.028394,-0.001239,0.009093,0.007027,-0.023078,-0.003041,0.004902,0.025512,0.003119,0.002226,0.002588,-0.001928,0.001317

Target: ΙωάννηςΓαβριήλ
Distance: 1.6049% / 0.01604868 | ADC: 0.25x RC
29.6Mandenka

20.6Makhuwa

18.2Sicilian_West

15.2Basque_Araba

8.6Portuguese

6.8Spanish_Eivissa

1.0Spanish_Valencia

These are the Syrian samples I took out in my 23andMe model:

Target: Syrian:Ber5R35
Distance: 2.2017% / 0.02201671 | ADC: 0.25x RC
41.0Penunsular_Arab

28.4Italian

17.6Iranian_Caucasian_&_Mesopotamian

5.0Broadly_Sub-Saharan_African

4.8Spanish_&_Portuguese

2.8Egyptian

0.4African_Hunter-Gatherer


Target: Syrian:Ber13R7
Distance: 2.8774% / 0.02877415 | ADC: 0.25x RC
44.2Levantine

23.2Egyptian

19.4Broadly_Western_Asian_&_North_African

9.0Penunsular_Arab

2.4Malayali_Subgroup

1.8African_Hunter-Gatherer

Target: Syrian:Ber12AL16
Distance: 2.4608% / 0.02460758 | ADC: 0.25x RC
62.6Penunsular_Arab

21.4Iranian_Caucasian_&_Mesopotamian

9.2Central_Asian

4.6Nigerian

1.2Broadly_Melanesian

1.0Broadly_Western_Asian_&_North_African

Now compared to Lebanese Christian (better proxy for levantine DNA) and another Syrian sample:

Target: Lebanese_Christian:Lebanese10AR37
Distance: 1.8144% / 0.01814401 | ADC: 0.25x RC
89.6Levantine

8.0Iranian_Caucasian_&_Mesopotamian

1.8Sardinian

0.6Broadly_Melanesian


Target: Syrian:Ber10AH252
Distance: 2.3587% / 0.02358704 | ADC: 0.25x RC
49.8Levantine

42.0Iranian_Caucasian_&_Mesopotamian

7.2Greek_&_Balkan

1.0Anatolian

Lookin' like outliers to me :unsure:

Here's my 3 way (with all the Canaries samples):

Target: ΙωάννηςΓαβριήλ
Distance: 1.1401% / 0.01140060 | R3P
48.6Mandenka

26.6Basque_Navarre_North

24.8Italian_Campania

And a 2 way (with all the Canaries samples):

Target: ΙωάννηςΓαβριήλ
Distance: 1.5167% / 0.01516710 | R2P
51.2Italian_Lombardy

48.8Mandenka

:bigsmile:

PS: These are the African samples I added:
Code:
Makhuwa:1002605,-0.550904,0.05687,0.00792,0.01292,0.000923,0.008646,-0.008225,0.01823,-0.024952,0.011116,0.000162,-0.002398,-0.017096,0.001101,-0.016558,0.016309,-0.010691,0.006588,-0.011187,0.005628,-0.003244,-0.00272,0.001602,-0.000241,-0.002634
Makhuwa:19,-0.629442,0.059916,0.018856,0.015181,0,0.011713,-0.005875,0.017999,-0.033337,0.015308,-0.001786,0.002698,-0.011298,0.002615,-0.014658,0.011535,-0.01017,0.011022,-0.006159,0.005503,-0.000749,0.001978,-0.000493,-0.000723,-0.001796
Makhuwa:201005,-0.632856,0.066009,0.024136,0.013243,0.001231,0.01004,-0.00658,0.017307,-0.033951,0.018588,0.002923,0.003147,-0.006987,0.000963,-0.013165,0.01127,-0.012517,0.011022,-0.009553,0.002501,-0.003244,0.003091,0,-0.00253,-0.001557
Makhuwa:201230,-0.623751,0.057885,0.016593,0.015181,0.002154,0.01004,-0.003995,0.013384,-0.026997,0.01057,0.001299,0.001199,-0.015015,0.001789,-0.017779,0.006364,-0.012647,0.01723,-0.011313,0.002751,0.000749,-0.000124,0.005793,-0.000843,-0.003712
Makhuwa:201231,-0.627165,0.057885,0.018479,0.015181,0.008001,0.011435,-0.01034,0.020768,-0.020861,0.010205,-0.000812,0.003297,-0.011447,0.00055,-0.014658,0.004243,-0.008605,0.017863,-0.006285,0.002001,0.001373,-0.00136,-0.001725,0.003374,0.001197
Makhuwa:201312,-0.623751,0.062963,0.02489,0.013566,-0.002462,0.011713,-0.008695,0.020999,-0.031906,0.010752,0.00341,-0.004796,-0.015163,-0.001101,-0.015608,0.008221,-0.007432,0.010642,-0.010559,0.002001,0.00025,0.000495,-0.008627,-0.004338,0.005628
Makhuwa:201323,-0.626027,0.060932,0.013199,0.019057,-0.001846,0.00753,-0.00752,0.016153,-0.026793,0.009476,-0.00341,0.003147,-0.014123,0.000826,-0.012893,0.009414,-0.012126,0.013809,-0.009176,0.006628,0,-0.002844,0.00037,-0.001687,0.002155
Makhuwa:201428,-0.624889,0.061947,0.018479,0.018411,0.004001,0.01004,-0.014336,0.02123,-0.026793,0.011481,0.002598,-0.002098,-0.012339,0.00234,-0.016694,0.008088,-0.010822,0.011149,-0.006788,0.006128,-0.001497,0.001731,0.002342,-0.002651,0.006107
Makhuwa:201503,-0.628304,0.060932,0.016216,0.011951,-0.002154,0.010877,-0.01081,0.019845,-0.02577,0.011481,-0.002273,-0.005545,-0.006987,0.000688,-0.018051,0.009944,-0.007432,0.009502,-0.010684,0.003502,-0.001622,-0.001731,0.002465,-0.000723,0.000718
Makhuwa:201508,-0.640824,0.06804,0.01961,0.018088,-0.00277,0.013108,-0.00047,0.014307,-0.029247,0.010387,0.004872,-0.001649,-0.010555,0,-0.014658,0.007823,-0.005998,0.013049,-0.008673,0.007504,0.000499,0.000742,0.004807,-0.002169,-0.002634
Makhuwa:201512,-0.619198,0.062963,0.020742,0.010336,-0.001846,0.010319,-0.00658,0.012923,-0.026793,0.012939,0.001624,-0.00045,-0.010406,-0.000963,-0.018865,0.013392,-0.00665,0.015203,-0.008673,0.008379,-0.006738,0.002597,-0.00037,0.000843,0.002395
Makhuwa:201711,-0.627165,0.062963,0.014331,0.019057,0.000308,0.012829,-0.00658,0.020999,-0.025565,0.010934,0.00406,0.001649,-0.016799,-0.003716,-0.011536,0.013259,-0.008866,0.010388,-0.017095,0.009505,0.000374,0.001855,0.000246,0.003012,0.002515
Makhuwa:2101005,-0.622612,0.053823,0.014331,0.012597,-0.001231,0.009203,-0.012456,0.021691,-0.026384,0.01057,-0.001299,0.000749,-0.010258,-0.001101,-0.015336,0.022142,-0.001304,0.011782,-0.011941,0.007379,-0.000499,-0.00136,-0.001725,0.000964,0.002515
Makhuwa:2102605,-0.633995,0.060932,0.018856,0.020026,0.004001,0.005857,-0.0047,0.015461,-0.026179,0.013485,-0.002598,0.001948,-0.007582,-0.001239,-0.011401,0.003447,-0.011213,0.012415,-0.009302,0.001376,0.000499,-0.000742,-0.000986,-0.003012,-0.00012
Makhuwa:2201005,-0.622612,0.059916,0.02225,0.01615,0.003693,0.011435,-0.00799,0.009461,-0.026179,0.010023,-0.001137,-3e-04,-0.006541,-0.001651,-0.012215,0.011138,-0.002477,0.018116,-0.00993,0.005127,0.001248,-0.005441,0.000986,0.002289,-0.000958
Makhuwa:2203505,-0.624889,0.059916,0.01961,0.018088,-0.005232,0.013666,-0.011986,0.016153,-0.032519,0.011663,0.001624,-0.002997,-0.014271,0.001514,-0.013572,0.012729,-0.008475,0.013049,-0.012821,0.005002,0.003119,0.001484,0.000123,-0.000723,0.002036
Makhuwa:602605,-0.631718,0.067025,0.017725,0.018411,0.000308,0.008646,-0.011751,0.019845,-0.028429,0.013121,0,0.001499,-0.006244,0.000688,-0.008958,0.008751,-0.002868,0.014696,-0.004274,0.004377,-0.00287,0.000124,-0.003944,-0.001205,-0.001078
Makhuwa:704205,-0.623751,0.058901,0.014331,0.013566,-0.00277,0.012271,-0.00893,0.013846,-0.031292,0.001458,0.006496,0.003747,-0.004162,0.003303,-0.010043,0.011005,-0.002868,0.009122,-0.005028,0.008879,0.001497,0.000124,0.002588,0.002771,-0.005149
Makhuwa:902605,-0.622612,0.05687,0.01697,0.016796,-0.002462,0.015339,-0.011751,0.019153,-0.030065,0.014397,0.003735,-3e-04,-0.00996,-0.001239,-0.015201,0.011668,-0.004694,0.007981,-0.006411,0.005753,0.000499,-0.001607,-0.003081,0.000241,-0.003473
Mandenka:B_Mandenka-3,-0.61123,0.06804,0.01961,0.010013,-0.004308,0.006693,-0.047707,0.050306,-0.036814,0.036265,0.00065,-0.009142,0.036571,0.002202,0.035423,-0.03275,0.022948,-0.004941,0.00176,-0.003627,-0.004617,-0.024978,-0.001849,0.002651,0
Mandenka:HGDP00904,-0.608954,0.062963,0.018479,0.013243,0,0.008925,-0.033842,0.037152,-0.02986,0.028611,0.004709,-0.007194,0.016947,-0.00289,0.012486,-0.006364,0.015125,-0.001014,-0.007668,-0.007629,-0.001996,-0.003091,0.000123,-0.00012,-0.002515
Mandenka:HGDP00905,-0.606677,0.063978,0.013199,0.017119,0.000923,0.008088,-0.038777,0.035537,-0.02986,0.024602,0.012017,0.001499,0.013082,0,0.017236,-0.009546,0.012908,-0.001394,-0.003394,-0.00075,-0.001872,-0.004822,-0.000246,-0.000241,0.000838
Mandenka:HGDP00906,-0.604401,0.067025,0.021873,0.006137,0.003077,0.008367,-0.038072,0.040383,-0.031906,0.025878,0.004222,0.002098,0.018285,-0.00055,0.018865,-0.010342,0.009909,0.001774,-0.006536,-0.001251,-0.002496,-0.010016,-0.001725,-0.003615,0.001796
Mandenka:HGDP00907,-0.612368,0.063978,0.019987,0.01292,-0.004001,0.009482,-0.034312,0.037845,-0.03211,0.024055,0.004872,0.002248,0.014271,-0.003165,0.01045,-0.010209,0.017732,-0.003801,-0.001634,-0.001876,-0.003993,-0.003091,-0.002465,0.000602,0.008742
Mandenka:HGDP00908,-0.613507,0.063978,0.013199,0.013243,-0.001846,0.008925,-0.038072,0.036922,-0.030679,0.022597,0.003897,-0.001649,0.023786,-0.000963,0.016694,-0.016043,0.011343,-0.000887,-0.00352,-0.001251,-0.000998,-0.004946,-0.001232,0.001928,0.001078
Mandenka:HGDP00909,-0.614645,0.067025,0.018479,0.017765,0.002462,0.00753,-0.040892,0.040383,-0.033542,0.025331,0.00341,0.001349,0.016204,-0.004404,0.009229,-0.014187,0.006258,0.001014,-0.001131,-0.004752,-0.003494,-0.002349,0.002958,0.00012,0.000479
Mandenka:HGDP00910,-0.608954,0.063978,0.023004,0.011628,-0.000308,0.009761,-0.041127,0.040614,-0.026997,0.020775,0.002923,-3e-04,0.015015,0.003578,0.016558,-0.00769,0.009257,-0.001014,0.000754,-0.00025,-0.008235,0.000495,-0.003697,-0.004579,0.002395
Mandenka:HGDP00911,-0.600986,0.064994,0.011691,0.011305,0.000308,0.006136,-0.039482,0.038998,-0.026793,0.024966,0.004547,-0.005695,0.021853,-0.00289,0.015201,-0.015646,0.005737,-0.001647,-0.00176,-0.006378,0.003619,-0.002597,0.000616,-0.005061,0.00012
Mandenka:HGDP00912,-0.61123,0.060932,0.01697,0.013243,-0.001539,0.013945,-0.033607,0.042691,-0.032519,0.025695,0.004384,0.000899,0.014866,-0.003853,0.014794,-0.012331,0.005085,-0.002534,0.001257,-0.008254,-0.000998,-0.004328,-0.000739,-0.001687,0.001437
Mandenka:HGDP00913,-0.604401,0.064994,0.029038,-0.001938,-0.004924,0.010877,-0.034312,0.043152,-0.02802,0.024237,0.008282,0.001049,0.01888,0.004404,0.018865,-0.007558,0.014864,0.005448,0.000126,0.003377,0.003743,-0.006306,0.009983,0.001928,0.009819
Mandenka:HGDP00915,-0.599848,0.064994,0.017348,0.008721,0.002462,0.008646,-0.042302,0.034152,-0.03027,0.02606,0.003897,0.004646,0.024975,-0.002477,0.014658,-0.016839,0.007302,0.004561,-0.00264,-0.003126,-0.002496,-0.005317,0.000863,-0.002651,-0.002874
Mandenka:HGDP00917,-0.604401,0.059916,0.024513,0.004845,-0.001539,0.013666,-0.037837,0.039691,-0.030474,0.026606,0.00747,-0.000599,0.018285,0.001514,0.015744,-0.004906,0.01004,-0.003674,-0.002514,5e-04,-0.00025,-0.003091,-0.001479,0.001566,0.00455
Mandenka:HGDP00918,-0.588465,0.064994,0.013576,0.008075,0.003693,0.001116,-0.039952,0.042229,-0.026179,0.029887,0.002598,-0.005545,0.023191,0.000826,0.019815,-0.013657,0.00339,-0.000507,-0.005908,-0.001126,-0.001123,-0.009274,0.00493,-0.005302,-0.000479
Mandenka:HGDP01199,-0.61123,0.059916,0.014331,0.008398,0.001539,0.01004,-0.033842,0.031614,-0.029656,0.02442,0.004872,-0.002548,0.020367,0.002752,0.010586,-0.005569,0.008736,-0.00114,-0.004525,-0.003627,-0.000998,-0.003833,0.003821,-0.004338,-0.001796
Mandenka:HGDP01200,-0.607815,0.061947,0.022627,0.015181,-0.002154,0.01004,-0.035957,0.031153,-0.029451,0.024055,0.007632,-0.002698,0.018434,-0.01101,0.016558,-0.013789,0.009909,0.001394,-0.000503,0.005253,-0.001996,-0.004328,0.001972,-0.002892,0.003353
Mandenka:HGDP01201,-0.615783,0.064994,0.01697,0.010336,0.000615,0.010598,-0.040657,0.038075,-0.035178,0.02606,0.004547,0.000899,0.017691,-0.003165,0.015879,-0.007027,0.019036,0.003421,-0.000754,-0.001251,-0.004866,-0.004081,-0.002218,0.001928,-0.000718
Mandenka:HGDP01202,-0.610092,0.060932,0.013953,0.012274,0.001539,0.01004,-0.032431,0.033229,-0.034155,0.025331,0.006496,-0.001349,0.018285,0.002202,0.018594,-0.013789,0.00691,0.000127,0.003645,-0.003627,0.000749,-0.005688,0.001109,0.001687,0.000718
 
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As I said before, the modern sampling for Canaries in G25 isn't good. A prove of overlapping with Portuguese is the fact that when we suppress the Spanish_Canaries from source data, the Portuguese grow a lot in the admixture results. See next my results without Canary Islanders. In my specific case, with rates of SSA that vary more or less between 3 ~ 5%, isn’t useful to know where they came from. The better is isolate all SSA as a unique ‘pure’ component to see better the European admixture. Unfortunately the indigenous in most of cases, touched vey little my autosomal admixture.

Target: Duarte_scaled
Distance: 0.0182% / 0.01819092 | ADC: 0.5x RC
53.1Portuguese
27.9Spanish_Galicia
15.4Spanish_Extremadura
3.6Biaka


Target: Duarte_scaled
Distance: 0.0137% / 0.01368251 | ADC: 0.25x RC
41.3Portuguese
31.2Spanish_Galicia
21.4Spanish_Cataluna
2.4Biaka
1.5Mbuti
1.2Afrikaner
1.0Amerindian_North


Target: Duarte_scaled
Distance: 0.0126% / 0.01263078
40.6Portuguese
22.3Spanish_Galicia
9.2Dutch
8.0Basque_Gipuzkoa_Southwest
6.0Sardinian
4.6Spanish_Andalucia
3.0Biaka
2.5Swiss_French
1.4Mbuti
1.3Spanish_Biscay
0.6Amerindian_North
0.5Pima

With two pops:

Target: Duarte_scaled
Distance: 0.0185% / 0.01853241 | R2P
29.2Portuguese:portugal4
19.7Portuguese:portugal11
19.2Portuguese:portugal6
15.7Portuguese:portugal1
4.5Portuguese:EBC_Portugal2
4.1Biaka:HGDP00460
3.4Portuguese:portugal2
1.9Portuguese:portugal14
1.2Portuguese:portugal7
1.1Portuguese:portugal15



Target: Duarte_scaled
Distance: 0.0185% / 0.01853241 | R2P
95.9Portuguese
4.1Biaka


I was always taught that the canaries where mixed by local women and portuguese and spanish Galician men ...............many Galician served on portuguese ships
 
My theory is that vahaduo sees my European DNA and my Senegal-ish DNA, that has a North African influence in it, and rapidly shows the Canaries because of the North African and high European DNA they have, making it further away from me, as you can see up there.
 
Source data: posts #s 59 + 63:

#59
https://docs.google.com/file/d/1d0O...qrwBaxw/edit?usp=docslist_api&filetype=msword

#63
Code:
Makhuwa:1002605,-0.550904,0.05687,0.00792,0.01292,0.000923,0.008646,-0.008225,0.01823,-0.024952,0.011116,0.000162,-0.002398,-0.017096,0.001101,-0.016558,0.016309,-0.010691,0.006588,-0.011187,0.005628,-0.003244,-0.00272,0.001602,-0.000241,-0.002634
Makhuwa:19,-0.629442,0.059916,0.018856,0.015181,0,0.011713,-0.005875,0.017999,-0.033337,0.015308,-0.001786,0.002698,-0.011298,0.002615,-0.014658,0.011535,-0.01017,0.011022,-0.006159,0.005503,-0.000749,0.001978,-0.000493,-0.000723,-0.001796
Makhuwa:201005,-0.632856,0.066009,0.024136,0.013243,0.001231,0.01004,-0.00658,0.017307,-0.033951,0.018588,0.002923,0.003147,-0.006987,0.000963,-0.013165,0.01127,-0.012517,0.011022,-0.009553,0.002501,-0.003244,0.003091,0,-0.00253,-0.001557
Makhuwa:201230,-0.623751,0.057885,0.016593,0.015181,0.002154,0.01004,-0.003995,0.013384,-0.026997,0.01057,0.001299,0.001199,-0.015015,0.001789,-0.017779,0.006364,-0.012647,0.01723,-0.011313,0.002751,0.000749,-0.000124,0.005793,-0.000843,-0.003712
Makhuwa:201231,-0.627165,0.057885,0.018479,0.015181,0.008001,0.011435,-0.01034,0.020768,-0.020861,0.010205,-0.000812,0.003297,-0.011447,0.00055,-0.014658,0.004243,-0.008605,0.017863,-0.006285,0.002001,0.001373,-0.00136,-0.001725,0.003374,0.001197
Makhuwa:201312,-0.623751,0.062963,0.02489,0.013566,-0.002462,0.011713,-0.008695,0.020999,-0.031906,0.010752,0.00341,-0.004796,-0.015163,-0.001101,-0.015608,0.008221,-0.007432,0.010642,-0.010559,0.002001,0.00025,0.000495,-0.008627,-0.004338,0.005628
Makhuwa:201323,-0.626027,0.060932,0.013199,0.019057,-0.001846,0.00753,-0.00752,0.016153,-0.026793,0.009476,-0.00341,0.003147,-0.014123,0.000826,-0.012893,0.009414,-0.012126,0.013809,-0.009176,0.006628,0,-0.002844,0.00037,-0.001687,0.002155
Makhuwa:201428,-0.624889,0.061947,0.018479,0.018411,0.004001,0.01004,-0.014336,0.02123,-0.026793,0.011481,0.002598,-0.002098,-0.012339,0.00234,-0.016694,0.008088,-0.010822,0.011149,-0.006788,0.006128,-0.001497,0.001731,0.002342,-0.002651,0.006107
Makhuwa:201503,-0.628304,0.060932,0.016216,0.011951,-0.002154,0.010877,-0.01081,0.019845,-0.02577,0.011481,-0.002273,-0.005545,-0.006987,0.000688,-0.018051,0.009944,-0.007432,0.009502,-0.010684,0.003502,-0.001622,-0.001731,0.002465,-0.000723,0.000718
Makhuwa:201508,-0.640824,0.06804,0.01961,0.018088,-0.00277,0.013108,-0.00047,0.014307,-0.029247,0.010387,0.004872,-0.001649,-0.010555,0,-0.014658,0.007823,-0.005998,0.013049,-0.008673,0.007504,0.000499,0.000742,0.004807,-0.002169,-0.002634
Makhuwa:201512,-0.619198,0.062963,0.020742,0.010336,-0.001846,0.010319,-0.00658,0.012923,-0.026793,0.012939,0.001624,-0.00045,-0.010406,-0.000963,-0.018865,0.013392,-0.00665,0.015203,-0.008673,0.008379,-0.006738,0.002597,-0.00037,0.000843,0.002395
Makhuwa:201711,-0.627165,0.062963,0.014331,0.019057,0.000308,0.012829,-0.00658,0.020999,-0.025565,0.010934,0.00406,0.001649,-0.016799,-0.003716,-0.011536,0.013259,-0.008866,0.010388,-0.017095,0.009505,0.000374,0.001855,0.000246,0.003012,0.002515
Makhuwa:2101005,-0.622612,0.053823,0.014331,0.012597,-0.001231,0.009203,-0.012456,0.021691,-0.026384,0.01057,-0.001299,0.000749,-0.010258,-0.001101,-0.015336,0.022142,-0.001304,0.011782,-0.011941,0.007379,-0.000499,-0.00136,-0.001725,0.000964,0.002515
Makhuwa:2102605,-0.633995,0.060932,0.018856,0.020026,0.004001,0.005857,-0.0047,0.015461,-0.026179,0.013485,-0.002598,0.001948,-0.007582,-0.001239,-0.011401,0.003447,-0.011213,0.012415,-0.009302,0.001376,0.000499,-0.000742,-0.000986,-0.003012,-0.00012
Makhuwa:2201005,-0.622612,0.059916,0.02225,0.01615,0.003693,0.011435,-0.00799,0.009461,-0.026179,0.010023,-0.001137,-3e-04,-0.006541,-0.001651,-0.012215,0.011138,-0.002477,0.018116,-0.00993,0.005127,0.001248,-0.005441,0.000986,0.002289,-0.000958
Makhuwa:2203505,-0.624889,0.059916,0.01961,0.018088,-0.005232,0.013666,-0.011986,0.016153,-0.032519,0.011663,0.001624,-0.002997,-0.014271,0.001514,-0.013572,0.012729,-0.008475,0.013049,-0.012821,0.005002,0.003119,0.001484,0.000123,-0.000723,0.002036
Makhuwa:602605,-0.631718,0.067025,0.017725,0.018411,0.000308,0.008646,-0.011751,0.019845,-0.028429,0.013121,0,0.001499,-0.006244,0.000688,-0.008958,0.008751,-0.002868,0.014696,-0.004274,0.004377,-0.00287,0.000124,-0.003944,-0.001205,-0.001078
Makhuwa:704205,-0.623751,0.058901,0.014331,0.013566,-0.00277,0.012271,-0.00893,0.013846,-0.031292,0.001458,0.006496,0.003747,-0.004162,0.003303,-0.010043,0.011005,-0.002868,0.009122,-0.005028,0.008879,0.001497,0.000124,0.002588,0.002771,-0.005149
Makhuwa:902605,-0.622612,0.05687,0.01697,0.016796,-0.002462,0.015339,-0.011751,0.019153,-0.030065,0.014397,0.003735,-3e-04,-0.00996,-0.001239,-0.015201,0.011668,-0.004694,0.007981,-0.006411,0.005753,0.000499,-0.001607,-0.003081,0.000241,-0.003473
Mandenka:B_Mandenka-3,-0.61123,0.06804,0.01961,0.010013,-0.004308,0.006693,-0.047707,0.050306,-0.036814,0.036265,0.00065,-0.009142,0.036571,0.002202,0.035423,-0.03275,0.022948,-0.004941,0.00176,-0.003627,-0.004617,-0.024978,-0.001849,0.002651,0
Mandenka:HGDP00904,-0.608954,0.062963,0.018479,0.013243,0,0.008925,-0.033842,0.037152,-0.02986,0.028611,0.004709,-0.007194,0.016947,-0.00289,0.012486,-0.006364,0.015125,-0.001014,-0.007668,-0.007629,-0.001996,-0.003091,0.000123,-0.00012,-0.002515
Mandenka:HGDP00905,-0.606677,0.063978,0.013199,0.017119,0.000923,0.008088,-0.038777,0.035537,-0.02986,0.024602,0.012017,0.001499,0.013082,0,0.017236,-0.009546,0.012908,-0.001394,-0.003394,-0.00075,-0.001872,-0.004822,-0.000246,-0.000241,0.000838
Mandenka:HGDP00906,-0.604401,0.067025,0.021873,0.006137,0.003077,0.008367,-0.038072,0.040383,-0.031906,0.025878,0.004222,0.002098,0.018285,-0.00055,0.018865,-0.010342,0.009909,0.001774,-0.006536,-0.001251,-0.002496,-0.010016,-0.001725,-0.003615,0.001796
Mandenka:HGDP00907,-0.612368,0.063978,0.019987,0.01292,-0.004001,0.009482,-0.034312,0.037845,-0.03211,0.024055,0.004872,0.002248,0.014271,-0.003165,0.01045,-0.010209,0.017732,-0.003801,-0.001634,-0.001876,-0.003993,-0.003091,-0.002465,0.000602,0.008742
Mandenka:HGDP00908,-0.613507,0.063978,0.013199,0.013243,-0.001846,0.008925,-0.038072,0.036922,-0.030679,0.022597,0.003897,-0.001649,0.023786,-0.000963,0.016694,-0.016043,0.011343,-0.000887,-0.00352,-0.001251,-0.000998,-0.004946,-0.001232,0.001928,0.001078
Mandenka:HGDP00909,-0.614645,0.067025,0.018479,0.017765,0.002462,0.00753,-0.040892,0.040383,-0.033542,0.025331,0.00341,0.001349,0.016204,-0.004404,0.009229,-0.014187,0.006258,0.001014,-0.001131,-0.004752,-0.003494,-0.002349,0.002958,0.00012,0.000479
Mandenka:HGDP00910,-0.608954,0.063978,0.023004,0.011628,-0.000308,0.009761,-0.041127,0.040614,-0.026997,0.020775,0.002923,-3e-04,0.015015,0.003578,0.016558,-0.00769,0.009257,-0.001014,0.000754,-0.00025,-0.008235,0.000495,-0.003697,-0.004579,0.002395
Mandenka:HGDP00911,-0.600986,0.064994,0.011691,0.011305,0.000308,0.006136,-0.039482,0.038998,-0.026793,0.024966,0.004547,-0.005695,0.021853,-0.00289,0.015201,-0.015646,0.005737,-0.001647,-0.00176,-0.006378,0.003619,-0.002597,0.000616,-0.005061,0.00012
Mandenka:HGDP00912,-0.61123,0.060932,0.01697,0.013243,-0.001539,0.013945,-0.033607,0.042691,-0.032519,0.025695,0.004384,0.000899,0.014866,-0.003853,0.014794,-0.012331,0.005085,-0.002534,0.001257,-0.008254,-0.000998,-0.004328,-0.000739,-0.001687,0.001437
Mandenka:HGDP00913,-0.604401,0.064994,0.029038,-0.001938,-0.004924,0.010877,-0.034312,0.043152,-0.02802,0.024237,0.008282,0.001049,0.01888,0.004404,0.018865,-0.007558,0.014864,0.005448,0.000126,0.003377,0.003743,-0.006306,0.009983,0.001928,0.009819
Mandenka:HGDP00915,-0.599848,0.064994,0.017348,0.008721,0.002462,0.008646,-0.042302,0.034152,-0.03027,0.02606,0.003897,0.004646,0.024975,-0.002477,0.014658,-0.016839,0.007302,0.004561,-0.00264,-0.003126,-0.002496,-0.005317,0.000863,-0.002651,-0.002874
Mandenka:HGDP00917,-0.604401,0.059916,0.024513,0.004845,-0.001539,0.013666,-0.037837,0.039691,-0.030474,0.026606,0.00747,-0.000599,0.018285,0.001514,0.015744,-0.004906,0.01004,-0.003674,-0.002514,5e-04,-0.00025,-0.003091,-0.001479,0.001566,0.00455
Mandenka:HGDP00918,-0.588465,0.064994,0.013576,0.008075,0.003693,0.001116,-0.039952,0.042229,-0.026179,0.029887,0.002598,-0.005545,0.023191,0.000826,0.019815,-0.013657,0.00339,-0.000507,-0.005908,-0.001126,-0.001123,-0.009274,0.00493,-0.005302,-0.000479
Mandenka:HGDP01199,-0.61123,0.059916,0.014331,0.008398,0.001539,0.01004,-0.033842,0.031614,-0.029656,0.02442,0.004872,-0.002548,0.020367,0.002752,0.010586,-0.005569,0.008736,-0.00114,-0.004525,-0.003627,-0.000998,-0.003833,0.003821,-0.004338,-0.001796
Mandenka:HGDP01200,-0.607815,0.061947,0.022627,0.015181,-0.002154,0.01004,-0.035957,0.031153,-0.029451,0.024055,0.007632,-0.002698,0.018434,-0.01101,0.016558,-0.013789,0.009909,0.001394,-0.000503,0.005253,-0.001996,-0.004328,0.001972,-0.002892,0.003353
Mandenka:HGDP01201,-0.615783,0.064994,0.01697,0.010336,0.000615,0.010598,-0.040657,0.038075,-0.035178,0.02606,0.004547,0.000899,0.017691,-0.003165,0.015879,-0.007027,0.019036,0.003421,-0.000754,-0.001251,-0.004866,-0.004081,-0.002218,0.001928,-0.000718
Mandenka:HGDP01202,-0.610092,0.060932,0.013953,0.012274,0.001539,0.01004,-0.032431,0.033229,-0.034155,0.025331,0.006496,-0.001349,0.018285,0.002202,0.018594,-0.013789,0.00691,0.000127,0.003645,-0.003627,0.000749,-0.005688,0.001109,0.001687,0.000718

Me with all samples above:
Target: Duarte_scaled
Distance: 0.0091% / 0.00908022
19.9Dutch
18.5Spanish_Andalucia
17.2Portuguese
15.4Sardinian
8.6Spanish_Galicia
4.7Spanish_Cantabria
4.3Makhuwa
3.4Spanish_Canarias
2.6Basque_Gipuzkoa
1.8French_Paris
1.4Spanish_Valencia
1.2Quechua
1.0Mbuti


Target: Duarte_scaled
Distance: 0.0119% / 0.01186348 | ADC: 0.25x RC
26.9Portuguese
25.9Spanish_Galicia
15.9Spanish_Cataluna
10.7Spanish_Canarias
5.9French_Occitanie
4.9Spanish_Valencia
4.5Dutch
2.8Makhuwa
1.4Mbuti
1.1Quechua


Target: Duarte_scaled
Distance: 0.0158% / 0.01575178 | ADC: 0.5x RC
25.2Spanish_Cataluna
24.8Portuguese
20.6Spanish_Galicia
15.6Spanish_Extremadura
6.0Spanish_Canarias
4.4Makhuwa
3.4Afrikaner


Target: Duarte_scaled
Distance: 0.0161% / 0.01607095 | R2P
93.7Spanish_Valencia
6.3Makhuwa

Me, Canary Islands out:
Target: Duarte_scaled
Distance: 0.0091% / 0.00910603
20.8Spanish_Andalucia
20.3Dutch
16.3Portuguese
15.9Sardinian
7.9Spanish_Galicia
6.4Spanish_Cantabria
4.7Makhuwa
3.0Spanish_Valencia
1.6Basque_Gipuzkoa
1.1French_Paris
0.9Mbuti
0.7Karitiana
0.4Quechua


Target: Duarte_scaled
Distance: 0.0115% / 0.01146064 | ADC: 0.25x RC
41.9Portuguese
24.3Spanish_Galicia
20.1Spanish_Soria
5.4Spanish_Cataluna
3.0Dutch
3.0Makhuwa
1.3Mbuti
0.8Amerindian_North
0.2Biaka


Target: Duarte_scaled
Distance: 0.0177% / 0.01767526 | ADC: 0.5x RC
42.1Portuguese
29.1Spanish_Extremadura
25.0Spanish_Galicia
3.8Makhuwa


Target: Duarte_scaled
Distance: 0.0161% / 0.01607016 | R2P
93.6Spanish_Valencia
6.4Makhuwa
 
My results, not including French, German, Dutch, Afrikaner, Canary, Basque ,Jewish or Sardinian... populations of which, as far as I know, I have no ancestor


Target: italouruguayan


Distance: 0.0041% / 0.00408698
23.1 Italian_Northeast
13.1 Italian_Calabria
11.3 Surui
8.8 Spanish_Andalucia
8.3 Italian_Campania
8.1 Italian_Aosta_Valley
6.5 Spanish_Peri-Barcelona
5.6 Portuguese
3.8 Quechua
3.1 Italian_Apulia
2.2 Pima
1.8 Amerindian_North
1.6 Makhuwa
1.1 Italian_Abruzzo
1.0 Biaka
0.5 Mayan
0.1 Mbuti



Target: italouruguayan

Distance: 0.0100% / 0.00997162 | ADC: 0.25x RC
26.7 Italian_Northeast
22.8 Italian_Basilicata
21.3 Quechua
13.9 Spanish_Galicia
7.9 Portuguese
4.4 Italian_Calabria
2.2 Makhuwa
0.8 Amerindian_North
 
My results if I take out France, Dutch, German, Afrikaner, Spanish Canarias, Syrian... and replaced Makhuwa with Chopi, because it's more southern Mozambique:

Target: ΙωάννηςΓαβριήλ
Distance: 0.6361% / 0.00636114
36.0Mandenka

20.2Italian_Campania

12.2Basque_Gipuzkoa_Southwest

11.6Chopi

7.0Sardinian

6.2Italian_Lombardy

4.2Basque_Lower_Navarre

1.2Quechua

0.6Italian_Basilicata

0.4Mbuti

0.2Italian_Apulia

0.2Surui


Target: ΙωάννηςΓαβριήλ
Distance: 1.6336% / 0.01633572 | ADC: 0.25x RC
29.4Mandenka

28.6Spanish_Valencia

19.4Chopi

16.4Italian_Calabria

6.2Spanish_Galicia

PS: I don't think it's gonna make any major difference in your results, since most of you probably don't have such high SSA percentages, but here it is anyways:
Code:
Chopi:009B,-0.627165,0.064994,0.02225,0.017765,-0.003385,0.013387,-0.008695,0.020538,-0.029656,0.014397,0.004384,-0.003747,-0.012636,0.003303,-0.021037,0.010607,-0.016428,0.010895,-0.011313,0.007253,-0.001622,0.000742,0.003328,-0.001084,0.001078
Chopi:038B,-0.631718,0.061947,0.01697,0.01615,0.002462,0.008088,-0.013396,0.026076,-0.022293,0.008201,0.003897,-0.005545,-0.010406,0.00234,-0.020358,0.015778,-0.013169,0.010388,-0.008547,0.007128,0.002745,-0.004451,-0.00493,-0.004579,-0.000718
Chopi:20B,-0.635133,0.058901,0.023759,0.012597,-0.000615,0.006414,-0.012456,0.023076,-0.031292,0.012939,-0.005684,0.007194,-0.013825,0.00523,-0.021715,0.017104,-0.016689,0.014316,-0.010936,0.001126,0.002121,-0.003215,0.004067,0.001807,0.000838
Chopi:30B,-0.638548,0.058901,0.025644,0.017765,-0.003693,0.010319,-0.009165,0.021461,-0.030065,0.01549,0.005034,0.004346,-0.009514,-0.001101,-0.018865,0.015513,-0.004955,0.018243,-0.012821,0.008004,0.007612,0.000495,0.001972,0.005181,-0.001437
Chopi:31B,-0.638548,0.063978,0.024513,0.016796,-0.001846,0.01255,-0.014101,0.023768,-0.028633,0.014943,0.001137,-0.002997,-0.015312,0.00234,-0.016422,0.007027,-0.014342,0.013809,-0.010307,0.008754,0.000873,0.002597,0.002588,0.006989,-0.000958
Chopi:37B,-0.644239,0.062963,0.023381,0.020349,-0.005539,0.009203,-0.012221,0.020076,-0.031497,0.006743,-0.001624,-0.003297,-0.010704,0.007294,-0.019272,0.007425,-0.020079,0.014823,-0.010559,0.005378,-0.004118,-0.000495,-0.003081,-0.00253,-0.00479
Chopi:41B,-0.590742,0.057885,0.026021,0.018411,0.005539,0.014223,-0.000705,0.018692,-0.030883,0.011299,0,0.002847,-0.005798,0,-0.017644,0.0179,0.001825,0.01951,-0.013701,0.005753,-0.003619,-0.002102,-0.003204,-0.002892,0.00467
Chopi:9101102,-0.644239,0.066009,0.024513,0.010336,-0.003077,0.008925,-0.0094,0.024461,-0.03661,0.013303,-0.002598,-0.004046,-0.009663,0.000688,-0.015201,0.01538,-0.00691,0.009502,-0.006285,0.007754,-0.003119,-0.000371,0.000493,0,0.000359
Chopi:S0004,-0.635133,0.060932,0.021873,0.011628,0.002154,0.014502,-0.00517,0.018922,-0.032724,0.010752,0.001461,-0.002847,-0.008028,0,-0.013436,0.015115,-0.01004,0.022804,-0.010559,0.007003,0.001373,0.000247,0.004683,0.002048,0.004191
Chopi:VBM0001,-0.631718,0.063978,0.02225,0.017765,-0.000308,0.00502,-0.013866,0.025153,-0.030883,0.018406,0.000487,0.002548,-0.009514,-0.000688,-0.013708,0.016574,-0.010822,0.015076,-0.01433,0.003126,-0.005865,-0.000618,-0.000616,-0.00253,-0.003712
Chopi:VBM0011,-0.63058,0.059916,0.022627,0.014858,-0.000923,0.013387,-0.018566,0.020076,-0.03027,0.010023,0.001137,-0.004346,-0.011893,0.00523,-0.015879,0.010872,-0.022035,0.020017,-0.018101,0.005878,0.001123,0.001607,0.002711,0.002892,-0.004431
Chopi:VBP0002,-0.63058,0.062963,0.022627,0.014858,0.000615,0.014781,-0.018566,0.017999,-0.036405,0.016219,0.002761,-0.001499,-0.010406,0.000275,-0.019001,0.009546,-0.018384,0.012289,-0.008296,0.003126,0.004617,0.000989,0.001972,0.001446,-0.001557
Chopi:VBP0021,-0.624889,0.062963,0.021119,0.016796,0.001539,0.011435,-0.019976,0.025384,-0.027815,0.01221,0.002273,-0.004496,-0.01442,0.004404,-0.015472,0.011933,-0.018384,0.006208,-0.00176,0.00963,0.000499,-0.005564,-0.000246,0.000482,-0.001916

 
No change in my results of post #66 when added the Chopi people. Below the results with ADC 0.25

1) Canaries in

Target: Duarte_scaled
Distance: 0.0114% / 0.01139360 | ADC: 0.25x RC
21.5Portuguese
19.3Spanish_Galicia
15.1Spanish_Canarias
14.8Spanish_Soria
7.5French_Occitanie
6.5Spanish_Cataluna
6.3Spanish_Valencia
3.6Dutch
3.0Makhuwa
1.3Mbuti
1.1Quechua


2) Canaries out

Target: Duarte_scaled
Distance: 0.0115% / 0.01149758 | ADC: 0.25x RC
40.7Portuguese
24.2Spanish_Galicia
20.3Spanish_Soria
6.6Spanish_Cataluna
3.1Makhuwa
2.8Dutch
1.3Mbuti
0.8Quechua
0.2Biaka


Source data: (1) + (2)

(1) https://docs.google.com/file/d/1d0O...qrwBaxw/edit?usp=docslist_api&filetype=msword

(2)
Code:
Chopi:009B,-0.627165,0.064994,0.02225,0.017765,-0.003385,0.013387,-0.008695,0.020538,-0.029656,0.014397,0.004384,-0.003747,-0.012636,0.003303,-0.021037,0.010607,-0.016428,0.010895,-0.011313,0.007253,-0.001622,0.000742,0.003328,-0.001084,0.001078
Chopi:038B,-0.631718,0.061947,0.01697,0.01615,0.002462,0.008088,-0.013396,0.026076,-0.022293,0.008201,0.003897,-0.005545,-0.010406,0.00234,-0.020358,0.015778,-0.013169,0.010388,-0.008547,0.007128,0.002745,-0.004451,-0.00493,-0.004579,-0.000718
Chopi:20B,-0.635133,0.058901,0.023759,0.012597,-0.000615,0.006414,-0.012456,0.023076,-0.031292,0.012939,-0.005684,0.007194,-0.013825,0.00523,-0.021715,0.017104,-0.016689,0.014316,-0.010936,0.001126,0.002121,-0.003215,0.004067,0.001807,0.000838
Chopi:30B,-0.638548,0.058901,0.025644,0.017765,-0.003693,0.010319,-0.009165,0.021461,-0.030065,0.01549,0.005034,0.004346,-0.009514,-0.001101,-0.018865,0.015513,-0.004955,0.018243,-0.012821,0.008004,0.007612,0.000495,0.001972,0.005181,-0.001437
Chopi:31B,-0.638548,0.063978,0.024513,0.016796,-0.001846,0.01255,-0.014101,0.023768,-0.028633,0.014943,0.001137,-0.002997,-0.015312,0.00234,-0.016422,0.007027,-0.014342,0.013809,-0.010307,0.008754,0.000873,0.002597,0.002588,0.006989,-0.000958
Chopi:37B,-0.644239,0.062963,0.023381,0.020349,-0.005539,0.009203,-0.012221,0.020076,-0.031497,0.006743,-0.001624,-0.003297,-0.010704,0.007294,-0.019272,0.007425,-0.020079,0.014823,-0.010559,0.005378,-0.004118,-0.000495,-0.003081,-0.00253,-0.00479
Chopi:41B,-0.590742,0.057885,0.026021,0.018411,0.005539,0.014223,-0.000705,0.018692,-0.030883,0.011299,0,0.002847,-0.005798,0,-0.017644,0.0179,0.001825,0.01951,-0.013701,0.005753,-0.003619,-0.002102,-0.003204,-0.002892,0.00467
Chopi:9101102,-0.644239,0.066009,0.024513,0.010336,-0.003077,0.008925,-0.0094,0.024461,-0.03661,0.013303,-0.002598,-0.004046,-0.009663,0.000688,-0.015201,0.01538,-0.00691,0.009502,-0.006285,0.007754,-0.003119,-0.000371,0.000493,0,0.000359
Chopi:S0004,-0.635133,0.060932,0.021873,0.011628,0.002154,0.014502,-0.00517,0.018922,-0.032724,0.010752,0.001461,-0.002847,-0.008028,0,-0.013436,0.015115,-0.01004,0.022804,-0.010559,0.007003,0.001373,0.000247,0.004683,0.002048,0.004191
Chopi:VBM0001,-0.631718,0.063978,0.02225,0.017765,-0.000308,0.00502,-0.013866,0.025153,-0.030883,0.018406,0.000487,0.002548,-0.009514,-0.000688,-0.013708,0.016574,-0.010822,0.015076,-0.01433,0.003126,-0.005865,-0.000618,-0.000616,-0.00253,-0.003712
Chopi:VBM0011,-0.63058,0.059916,0.022627,0.014858,-0.000923,0.013387,-0.018566,0.020076,-0.03027,0.010023,0.001137,-0.004346,-0.011893,0.00523,-0.015879,0.010872,-0.022035,0.020017,-0.018101,0.005878,0.001123,0.001607,0.002711,0.002892,-0.004431
Chopi:VBP0002,-0.63058,0.062963,0.022627,0.014858,0.000615,0.014781,-0.018566,0.017999,-0.036405,0.016219,0.002761,-0.001499,-0.010406,0.000275,-0.019001,0.009546,-0.018384,0.012289,-0.008296,0.003126,0.004617,0.000989,0.001972,0.001446,-0.001557
Chopi:VBP0021,-0.624889,0.062963,0.021119,0.016796,0.001539,0.011435,-0.019976,0.025384,-0.027815,0.01221,0.002273,-0.004496,-0.01442,0.004404,-0.015472,0.011933,-0.018384,0.006208,-0.00176,0.00963,0.000499,-0.005564,-0.000246,0.000482,-0.001916
Makhuwa:1002605,-0.550904,0.05687,0.00792,0.01292,0.000923,0.008646,-0.008225,0.01823,-0.024952,0.011116,0.000162,-0.002398,-0.017096,0.001101,-0.016558,0.016309,-0.010691,0.006588,-0.011187,0.005628,-0.003244,-0.00272,0.001602,-0.000241,-0.002634
Makhuwa:19,-0.629442,0.059916,0.018856,0.015181,0,0.011713,-0.005875,0.017999,-0.033337,0.015308,-0.001786,0.002698,-0.011298,0.002615,-0.014658,0.011535,-0.01017,0.011022,-0.006159,0.005503,-0.000749,0.001978,-0.000493,-0.000723,-0.001796
Makhuwa:201005,-0.632856,0.066009,0.024136,0.013243,0.001231,0.01004,-0.00658,0.017307,-0.033951,0.018588,0.002923,0.003147,-0.006987,0.000963,-0.013165,0.01127,-0.012517,0.011022,-0.009553,0.002501,-0.003244,0.003091,0,-0.00253,-0.001557
Makhuwa:201230,-0.623751,0.057885,0.016593,0.015181,0.002154,0.01004,-0.003995,0.013384,-0.026997,0.01057,0.001299,0.001199,-0.015015,0.001789,-0.017779,0.006364,-0.012647,0.01723,-0.011313,0.002751,0.000749,-0.000124,0.005793,-0.000843,-0.003712
Makhuwa:201231,-0.627165,0.057885,0.018479,0.015181,0.008001,0.011435,-0.01034,0.020768,-0.020861,0.010205,-0.000812,0.003297,-0.011447,0.00055,-0.014658,0.004243,-0.008605,0.017863,-0.006285,0.002001,0.001373,-0.00136,-0.001725,0.003374,0.001197
Makhuwa:201312,-0.623751,0.062963,0.02489,0.013566,-0.002462,0.011713,-0.008695,0.020999,-0.031906,0.010752,0.00341,-0.004796,-0.015163,-0.001101,-0.015608,0.008221,-0.007432,0.010642,-0.010559,0.002001,0.00025,0.000495,-0.008627,-0.004338,0.005628
Makhuwa:201323,-0.626027,0.060932,0.013199,0.019057,-0.001846,0.00753,-0.00752,0.016153,-0.026793,0.009476,-0.00341,0.003147,-0.014123,0.000826,-0.012893,0.009414,-0.012126,0.013809,-0.009176,0.006628,0,-0.002844,0.00037,-0.001687,0.002155
Makhuwa:201428,-0.624889,0.061947,0.018479,0.018411,0.004001,0.01004,-0.014336,0.02123,-0.026793,0.011481,0.002598,-0.002098,-0.012339,0.00234,-0.016694,0.008088,-0.010822,0.011149,-0.006788,0.006128,-0.001497,0.001731,0.002342,-0.002651,0.006107
Makhuwa:201503,-0.628304,0.060932,0.016216,0.011951,-0.002154,0.010877,-0.01081,0.019845,-0.02577,0.011481,-0.002273,-0.005545,-0.006987,0.000688,-0.018051,0.009944,-0.007432,0.009502,-0.010684,0.003502,-0.001622,-0.001731,0.002465,-0.000723,0.000718
Makhuwa:201508,-0.640824,0.06804,0.01961,0.018088,-0.00277,0.013108,-0.00047,0.014307,-0.029247,0.010387,0.004872,-0.001649,-0.010555,0,-0.014658,0.007823,-0.005998,0.013049,-0.008673,0.007504,0.000499,0.000742,0.004807,-0.002169,-0.002634
Makhuwa:201512,-0.619198,0.062963,0.020742,0.010336,-0.001846,0.010319,-0.00658,0.012923,-0.026793,0.012939,0.001624,-0.00045,-0.010406,-0.000963,-0.018865,0.013392,-0.00665,0.015203,-0.008673,0.008379,-0.006738,0.002597,-0.00037,0.000843,0.002395
Makhuwa:201711,-0.627165,0.062963,0.014331,0.019057,0.000308,0.012829,-0.00658,0.020999,-0.025565,0.010934,0.00406,0.001649,-0.016799,-0.003716,-0.011536,0.013259,-0.008866,0.010388,-0.017095,0.009505,0.000374,0.001855,0.000246,0.003012,0.002515
Makhuwa:2101005,-0.622612,0.053823,0.014331,0.012597,-0.001231,0.009203,-0.012456,0.021691,-0.026384,0.01057,-0.001299,0.000749,-0.010258,-0.001101,-0.015336,0.022142,-0.001304,0.011782,-0.011941,0.007379,-0.000499,-0.00136,-0.001725,0.000964,0.002515
Makhuwa:2102605,-0.633995,0.060932,0.018856,0.020026,0.004001,0.005857,-0.0047,0.015461,-0.026179,0.013485,-0.002598,0.001948,-0.007582,-0.001239,-0.011401,0.003447,-0.011213,0.012415,-0.009302,0.001376,0.000499,-0.000742,-0.000986,-0.003012,-0.00012
Makhuwa:2201005,-0.622612,0.059916,0.02225,0.01615,0.003693,0.011435,-0.00799,0.009461,-0.026179,0.010023,-0.001137,-3e-04,-0.006541,-0.001651,-0.012215,0.011138,-0.002477,0.018116,-0.00993,0.005127,0.001248,-0.005441,0.000986,0.002289,-0.000958
Makhuwa:2203505,-0.624889,0.059916,0.01961,0.018088,-0.005232,0.013666,-0.011986,0.016153,-0.032519,0.011663,0.001624,-0.002997,-0.014271,0.001514,-0.013572,0.012729,-0.008475,0.013049,-0.012821,0.005002,0.003119,0.001484,0.000123,-0.000723,0.002036
Makhuwa:602605,-0.631718,0.067025,0.017725,0.018411,0.000308,0.008646,-0.011751,0.019845,-0.028429,0.013121,0,0.001499,-0.006244,0.000688,-0.008958,0.008751,-0.002868,0.014696,-0.004274,0.004377,-0.00287,0.000124,-0.003944,-0.001205,-0.001078
Makhuwa:704205,-0.623751,0.058901,0.014331,0.013566,-0.00277,0.012271,-0.00893,0.013846,-0.031292,0.001458,0.006496,0.003747,-0.004162,0.003303,-0.010043,0.011005,-0.002868,0.009122,-0.005028,0.008879,0.001497,0.000124,0.002588,0.002771,-0.005149
Makhuwa:902605,-0.622612,0.05687,0.01697,0.016796,-0.002462,0.015339,-0.011751,0.019153,-0.030065,0.014397,0.003735,-3e-04,-0.00996,-0.001239,-0.015201,0.011668,-0.004694,0.007981,-0.006411,0.005753,0.000499,-0.001607,-0.003081,0.000241,-0.003473
Mandenka:B_Mandenka-3,-0.61123,0.06804,0.01961,0.010013,-0.004308,0.006693,-0.047707,0.050306,-0.036814,0.036265,0.00065,-0.009142,0.036571,0.002202,0.035423,-0.03275,0.022948,-0.004941,0.00176,-0.003627,-0.004617,-0.024978,-0.001849,0.002651,0
Mandenka:HGDP00904,-0.608954,0.062963,0.018479,0.013243,0,0.008925,-0.033842,0.037152,-0.02986,0.028611,0.004709,-0.007194,0.016947,-0.00289,0.012486,-0.006364,0.015125,-0.001014,-0.007668,-0.007629,-0.001996,-0.003091,0.000123,-0.00012,-0.002515
Mandenka:HGDP00905,-0.606677,0.063978,0.013199,0.017119,0.000923,0.008088,-0.038777,0.035537,-0.02986,0.024602,0.012017,0.001499,0.013082,0,0.017236,-0.009546,0.012908,-0.001394,-0.003394,-0.00075,-0.001872,-0.004822,-0.000246,-0.000241,0.000838
Mandenka:HGDP00906,-0.604401,0.067025,0.021873,0.006137,0.003077,0.008367,-0.038072,0.040383,-0.031906,0.025878,0.004222,0.002098,0.018285,-0.00055,0.018865,-0.010342,0.009909,0.001774,-0.006536,-0.001251,-0.002496,-0.010016,-0.001725,-0.003615,0.001796
Mandenka:HGDP00907,-0.612368,0.063978,0.019987,0.01292,-0.004001,0.009482,-0.034312,0.037845,-0.03211,0.024055,0.004872,0.002248,0.014271,-0.003165,0.01045,-0.010209,0.017732,-0.003801,-0.001634,-0.001876,-0.003993,-0.003091,-0.002465,0.000602,0.008742
Mandenka:HGDP00908,-0.613507,0.063978,0.013199,0.013243,-0.001846,0.008925,-0.038072,0.036922,-0.030679,0.022597,0.003897,-0.001649,0.023786,-0.000963,0.016694,-0.016043,0.011343,-0.000887,-0.00352,-0.001251,-0.000998,-0.004946,-0.001232,0.001928,0.001078
Mandenka:HGDP00909,-0.614645,0.067025,0.018479,0.017765,0.002462,0.00753,-0.040892,0.040383,-0.033542,0.025331,0.00341,0.001349,0.016204,-0.004404,0.009229,-0.014187,0.006258,0.001014,-0.001131,-0.004752,-0.003494,-0.002349,0.002958,0.00012,0.000479
Mandenka:HGDP00910,-0.608954,0.063978,0.023004,0.011628,-0.000308,0.009761,-0.041127,0.040614,-0.026997,0.020775,0.002923,-3e-04,0.015015,0.003578,0.016558,-0.00769,0.009257,-0.001014,0.000754,-0.00025,-0.008235,0.000495,-0.003697,-0.004579,0.002395
Mandenka:HGDP00911,-0.600986,0.064994,0.011691,0.011305,0.000308,0.006136,-0.039482,0.038998,-0.026793,0.024966,0.004547,-0.005695,0.021853,-0.00289,0.015201,-0.015646,0.005737,-0.001647,-0.00176,-0.006378,0.003619,-0.002597,0.000616,-0.005061,0.00012
Mandenka:HGDP00912,-0.61123,0.060932,0.01697,0.013243,-0.001539,0.013945,-0.033607,0.042691,-0.032519,0.025695,0.004384,0.000899,0.014866,-0.003853,0.014794,-0.012331,0.005085,-0.002534,0.001257,-0.008254,-0.000998,-0.004328,-0.000739,-0.001687,0.001437
Mandenka:HGDP00913,-0.604401,0.064994,0.029038,-0.001938,-0.004924,0.010877,-0.034312,0.043152,-0.02802,0.024237,0.008282,0.001049,0.01888,0.004404,0.018865,-0.007558,0.014864,0.005448,0.000126,0.003377,0.003743,-0.006306,0.009983,0.001928,0.009819
Mandenka:HGDP00915,-0.599848,0.064994,0.017348,0.008721,0.002462,0.008646,-0.042302,0.034152,-0.03027,0.02606,0.003897,0.004646,0.024975,-0.002477,0.014658,-0.016839,0.007302,0.004561,-0.00264,-0.003126,-0.002496,-0.005317,0.000863,-0.002651,-0.002874
Mandenka:HGDP00917,-0.604401,0.059916,0.024513,0.004845,-0.001539,0.013666,-0.037837,0.039691,-0.030474,0.026606,0.00747,-0.000599,0.018285,0.001514,0.015744,-0.004906,0.01004,-0.003674,-0.002514,5e-04,-0.00025,-0.003091,-0.001479,0.001566,0.00455
Mandenka:HGDP00918,-0.588465,0.064994,0.013576,0.008075,0.003693,0.001116,-0.039952,0.042229,-0.026179,0.029887,0.002598,-0.005545,0.023191,0.000826,0.019815,-0.013657,0.00339,-0.000507,-0.005908,-0.001126,-0.001123,-0.009274,0.00493,-0.005302,-0.000479
Mandenka:HGDP01199,-0.61123,0.059916,0.014331,0.008398,0.001539,0.01004,-0.033842,0.031614,-0.029656,0.02442,0.004872,-0.002548,0.020367,0.002752,0.010586,-0.005569,0.008736,-0.00114,-0.004525,-0.003627,-0.000998,-0.003833,0.003821,-0.004338,-0.001796
Mandenka:HGDP01200,-0.607815,0.061947,0.022627,0.015181,-0.002154,0.01004,-0.035957,0.031153,-0.029451,0.024055,0.007632,-0.002698,0.018434,-0.01101,0.016558,-0.013789,0.009909,0.001394,-0.000503,0.005253,-0.001996,-0.004328,0.001972,-0.002892,0.003353
Mandenka:HGDP01201,-0.615783,0.064994,0.01697,0.010336,0.000615,0.010598,-0.040657,0.038075,-0.035178,0.02606,0.004547,0.000899,0.017691,-0.003165,0.015879,-0.007027,0.019036,0.003421,-0.000754,-0.001251,-0.004866,-0.004081,-0.002218,0.001928,-0.000718
Mandenka:HGDP01202,-0.610092,0.060932,0.013953,0.012274,0.001539,0.01004,-0.032431,0.033229,-0.034155,0.025331,0.006496,-0.001349,0.018285,0.002202,0.018594,-0.013789,0.00691,0.000127,0.003645,-0.003627,0.000749,-0.005688,0.001109,0.001687,0.000718
 
I actually replaced the Makhuwa with the Chopi because the Makhuwa had more of a central-eastern African input, but, again you don't have much SSA DNA anyways so it's probably not going to change.
 
I was always taught that the canaries where mixed by local women and portuguese and spanish Galician men ...............many Galician served on portuguese ships

Yes, It’s true @Torzio
Portuguese and Galicians are among mainly settlers of the Canary Islands:

“The islands were conquered by Castilians (mainly Andalusians) at the beginning of the 15th century. In 1402, they began to subdue and suppress the native Guanche population. The Guanches were initially enslaved and gradually absorbed by the Spanish colonizers. As a result, modern Canarian people are mixture of mostly European and North African, with low frequencies of sub-saharan. However, there are variation in its population depending on the individual.


After subsequent settlement by Spaniards and other European peoples, mainly Portuguese, the remaining Guanches were gradually diluted by the settlers and their culture largely vanished. Alonso Fernández de Lugo, conqueror of Tenerife and La Palma, oversaw extensive immigration to these islands during a short period from the late 1490s to the 1520s from mainland Europe, mostly Spain and Portugal, and immigrants included Galicians, Castilians, Catalans, Basques and Portuguese. At subsequent judicial enquiries, Fernández de Lugo was accused of favoring Genoese and Portuguese immigrants over Castilians.”

https://en.m.wikipedia.org/wiki/Canary_Islanders#Population_genetics

The overlap of Canary Islanders and groups from mainland Iberia has a historical explanation and, therefore, including Canarian Spanish in the data source, many ethnic groups from mainland Iberia are suppressed or reduced in the G25 modern admixture, leading to a false impression of great ancestry of the Canary Islands for some Iberians who don't have any ancestors there, as is my case.
 
Yes, It’s true @Torzio
Portuguese and Galicians are among mainly settlers of the Canary Islands:

“The islands were conquered by Castilians (mainly Andalusians) at the beginning of the 15th century. In 1402, they began to subdue and suppress the native Guanche population. The Guanches were initially enslaved and gradually absorbed by the Spanish colonizers. As a result, modern Canarian people are mixture of mostly European and North African, with low frequencies of sub-saharan. However, there are variation in its population depending on the individual.


After subsequent settlement by Spaniards and other European peoples, mainly Portuguese, the remaining Guanches were gradually diluted by the settlers and their culture largely vanished. Alonso Fernández de Lugo, conqueror of Tenerife and La Palma, oversaw extensive immigration to these islands during a short period from the late 1490s to the 1520s from mainland Europe, mostly Spain and Portugal, and immigrants included Galicians, Castilians, Catalans, Basques and Portuguese. At subsequent judicial enquiries, Fernández de Lugo was accused of favoring Genoese and Portuguese immigrants over Castilians.”

https://en.m.wikipedia.org/wiki/Canary_Islanders#Population_genetics

The overlap of Canary Islanders and groups from mainland Iberia has a historical explanation and, therefore, including Canarian Spanish in the data source, many ethnic groups from mainland Iberia are suppressed or reduced in the G25 modern admixture, leading to a false impression of great ancestry of the Canary Islands for some Iberians who don't have any ancestors there, as is my case.

These are the Canarias samples run in my 23andMe calculator model:

Target: Spanish_Canarias:HG01695
Distance: 0.9833% / 0.00983301 | ADC: 0.25x RC
83.2Spanish_&_Portuguese
13.4North_African
3.4Sardinian

Target: Spanish_Canarias:HG01694
Distance: 0.7577% / 0.00757688 | ADC: 0.25x RC
83.8Spanish_&_Portuguese
15.4North_African
0.8African_Hunter-Gatherer

Target: Spanish_Canarias:CAN956
Distance: 0.7263% / 0.00726258 | ADC: 0.25x RC
87.2Spanish_&_Portuguese
10.4North_African
2.4Egyptian

Target: Spanish_Canarias:CAN924
Distance: 1.4196% / 0.01419563 | ADC: 0.25x RC
69.8Spanish_&_Portuguese
24.6North_African
5.6Iranian_Caucasian_&_Mesopotamian

Target: Spanish_Canarias:CAN9
Distance: 1.4299% / 0.01429938 | ADC: 0.25x RC
58.0Spanish_&_Portuguese
17.0French_&_German
7.8Broadly_European
7.0Peninsular_Arab
5.6Eastern_European
3.2North_African
1.0Northern_Indian_and_Pakistani
0.4Ashkenazi_Jewish

Target: Spanish_Canarias:CAN884
Distance: 1.1642% / 0.01164219 | ADC: 0.25x RC
91.0Spanish_&_Portuguese
5.4North_African
3.6Iranian_Caucasian_&_Mesopotamian

Target: Spanish_Canarias:CAN4
Distance: 1.8656% / 0.01865619 | ADC: 0.25x RC
76.0Spanish_&_Portuguese
13.8North_African
7.2Greek_&_Balkan
3.0Sardinian

Target: Spanish_Canarias:CAN3
Distance: 0.7144% / 0.00714396 | ADC: 0.25x RC
82.2Spanish_&_Portuguese
10.4North_African
6.0Eastern_European
1.4Indigenous_American

Target: Spanish_Canarias:CAN2
Distance: 1.0458% / 0.01045786 | ADC: 0.25x RC
74.2Spanish_&_Portuguese
8.4Italian
8.0North_African
4.4Egyptian
2.4Southern_East_African
1.6Eastern_European
0.8African_Hunter-Gatherer
0.2Levantine

Target: Spanish_Canarias:CAN1920
Distance: 1.3397% / 0.01339746 | ADC: 0.25x RC
87.4Spanish_&_Portuguese
10.0North_African
2.2African_Hunter-Gatherer
0.4Ghanaian_Liberian_&-Sierra_Leonean

Target: Spanish_Canarias:CAN19
Distance: 1.4974% / 0.01497384 | ADC: 0.25x RC
81.2Spanish_&_Portuguese
12.2North_African
6.6Peninsular_Arab

Target: Spanish_Canarias:CAN18
Distance: 1.0450% / 0.01044988 | ADC: 0.25x RC
90.0Spanish_&_Portuguese
7.8North_African
1.2Malayali_Subgroup
1.0African_Hunter-Gatherer

Target: Spanish_Canarias:CAN17
Distance: 1.2384% / 0.01238418 | ADC: 0.25x RC
82.4Spanish_&_Portuguese
9.8North_African
6.8Broadly_Southern_European
1.0African_Hunter-Gatherer

Target: Spanish_Canarias:CAN13
Distance: 1.2332% / 0.01233201 | ADC: 0.25x RC
80.4Spanish_&_Portuguese
17.0North_African
1.8Southern_East_African
0.8Nigerian

Target: Spanish_Canarias:CAN1220
Distance: 0.8111% / 0.00811090 | ADC: 0.25x RC
56.4Spanish_&_Portuguese
16.2North_African
15.8French_&_German
8.4Broadly_European
1.8Egyptian
0.8Ethiopian_&_Eritrean
0.6African_Hunter-Gatherer

Target: Spanish_Canarias:CAN12
Distance: 1.1085% / 0.01108512 | ADC: 0.25x RC
80.2Spanish_&_Portuguese
11.0North_African
8.0British_&_Irish
0.8African_Hunter-Gatherer


Target: Spanish_Canarias:CAN11
Distance: 0.7758% / 0.00775820 | ADC: 0.25x RC
76.4Spanish_&_Portuguese
16.8North_African
6.0Sardinian
0.8Italian

Target: Spanish_Canarias:CAN10
Distance: 1.7287% / 0.01728654 | ADC: 0.25x RC
76.8Spanish_&_Portuguese
11.2North_African
5.4Sardinian
4.6Somali
2.0Ethiopian_&_Eritrean

Target: Spanish_Canarias:CAN1
Distance: 1.3555% / 0.01355532 | ADC: 0.25x RC
79.0Spanish_&_Portuguese

19.8North_African

1.2African_Hunter-Gatherer
 
Yes, It’s true @Torzio
Portuguese and Galicians are among mainly settlers of the Canary Islands:

“The islands were conquered by Castilians (mainly Andalusians) at the beginning of the 15th century. In 1402, they began to subdue and suppress the native Guanche population. The Guanches were initially enslaved and gradually absorbed by the Spanish colonizers. As a result, modern Canarian people are mixture of mostly European and North African, with low frequencies of sub-saharan. However, there are variation in its population depending on the individual.


After subsequent settlement by Spaniards and other European peoples, mainly Portuguese, the remaining Guanches were gradually diluted by the settlers and their culture largely vanished. Alonso Fernández de Lugo, conqueror of Tenerife and La Palma, oversaw extensive immigration to these islands during a short period from the late 1490s to the 1520s from mainland Europe, mostly Spain and Portugal, and immigrants included Galicians, Castilians, Catalans, Basques and Portuguese. At subsequent judicial enquiries, Fernández de Lugo was accused of favoring Genoese and Portuguese immigrants over Castilians.”

https://en.m.wikipedia.org/wiki/Canary_Islanders#Population_genetics

The overlap of Canary Islanders and groups from mainland Iberia has a historical explanation and, therefore, including Canarian Spanish in the data source, many ethnic groups from mainland Iberia are suppressed or reduced in the G25 modern admixture, leading to a false impression of great ancestry of the Canary Islands for some Iberians who don't have any ancestors there, as is my case.
@Duarte ... it reminds me of what could be the son of a Conquistadors, ... I8558 (new sample) was born in Europe, probably SW Spain, but found in Mexico.

Distance to:I8558_Mexico_Colonial_oEuropean
3.84331888Spanish_Canarias
4.18143516Portuguese
7.31048562Spanish_Baleares
7.32122258Spanish_Castilla-Leon
8.12616146Spanish_Galicia

Code:
I8558_Mexico_Colonial_oEuropean_Dod_K12b,6.64,0.03,7.31,0,39.02,24.64,0,0,4.80,1.08,14.75,1.71

https://reich.hms.harvard.edu/sites...nline-files/2022_Tiesler_Sedig_Campeche_0.pdf
 
@Duarte ... it reminds me of what could be the son of a Conquistadors, ... I8558 (new sample) was born in Europe, probably SW Spain, but found in Mexico.

Distance to:I8558_Mexico_Colonial_oEuropean
3.84331888Spanish_Canarias
4.18143516Portuguese
7.31048562Spanish_Baleares
7.32122258Spanish_Castilla-Leon
8.12616146Spanish_Galicia

Code:
I8558_Mexico_Colonial_oEuropean_Dod_K12b,6.64,0.03,7.31,0,39.02,24.64,0,0,4.80,1.08,14.75,1.71

https://reich.hms.harvard.edu/sites...nline-files/2022_Tiesler_Sedig_Campeche_0.pdf

Thank you Salento (y)

Distance to:Duarte
5.91253753I8558_Mexico_Colonial_oEuropean_Dod_K12b

PS
Modeling me with Maciamo’s ancient averages and the Mexican settler:

Distance to:Duarte
4.3387298586.80% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 13.20% Chalcolithic_Portugal_(n=11)
4.3460234478.00% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 22.00% Early_Bronze_Age_Iberia_(n=7)
4.3663679087.20% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 12.80% Chalcolithic_Spain_(n=60)
4.3856282788.00% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 12.00% Bell_Beaker_Iberia_(n=11)
4.4016063688.40% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 11.60% Middle-Late_Neolithic_Portugal_(n=4)
4.4449872588.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 11.40% CA_Remedello_culture_(n=3)
4.4486076081.20% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 18.80% Middle_Bronze_Age_Portugal_(n=4)
4.5174560487.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 12.40% Neolithic_Britain_(n=62)
4.5302373686.00% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 14.00% Megalithic_Europe_(n=24)
4.5319917485.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 14.40% Globular_Amphora_culture_(n=6)
4.5365875980.40% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 19.60% Middle-Late_Bronze_Age_Spain_(n=38)
4.5546566788.80% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 11.20% Middle_Late_Neolithic_Spain_(n=12)
4.6029515579.80% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 20.20% Iron_Age_Iberia_(n=22)
4.6641713647.60% Iron_Age_Iberia_(n=22) + 52.40% Medieval_Andalusia_(n=14)
4.6736435387.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 12.40% Late_Neolithic_Switzerland_(n=58)
4.7787462448.20% Iron_Age_Southern_Gaul_(n=8) + 51.80% Medieval_Andalusia_(n=14)
4.7805363790.00% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 10.00% Nuragic_Sardinia_(n=13)
4.8182480090.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 9.40% Middle_Neolithic_Sardinia_(n=10)
4.8228382788.20% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 11.80% Middle_Neolithic_France_(n=19)
4.8234505691.40% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 8.60% Early_Neolithic_Spain_(n=10)
4.8487890489.40% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 10.60% Chalcolithic_BB_Sardinia_(n=10)
4.8532837549.00% Early_Bronze_Age_Southern_France_(n=5) + 51.00% Medieval_Andalusia_(n=14)



 
@Duarte ... it reminds me of what could be the son of a Conquistadors, ... I8558 (new sample) was born in Europe, probably SW Spain, but found in Mexico.

Distance to:I8558_Mexico_Colonial_oEuropean
3.84331888Spanish_Canarias
4.18143516Portuguese
7.31048562Spanish_Baleares
7.32122258Spanish_Castilla-Leon
8.12616146Spanish_Galicia

Code:
I8558_Mexico_Colonial_oEuropean_Dod_K12b,6.64,0.03,7.31,0,39.02,24.64,0,0,4.80,1.08,14.75,1.71

https://reich.hms.harvard.edu/sites...nline-files/2022_Tiesler_Sedig_Campeche_0.pdf

Thanks @Salento (My european half only)

Distance to:Dodecad_K12b_ΙωάννηςΓαβριήλEURO_GED
10.46306558I8558_Mexico_Colonial_oEuropean_Dod_K12b
 
Thank you Salento (y)

Distance to:Duarte
5.91253753I8558_Mexico_Colonial_oEuropean_Dod_K12b

PS
Modeling me with Maciamo’s ancient averages and the Mexican settler:

Distance to:Duarte
4.3387298586.80% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 13.20% Chalcolithic_Portugal_(n=11)
4.3460234478.00% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 22.00% Early_Bronze_Age_Iberia_(n=7)
4.3663679087.20% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 12.80% Chalcolithic_Spain_(n=60)
4.3856282788.00% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 12.00% Bell_Beaker_Iberia_(n=11)
4.4016063688.40% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 11.60% Middle-Late_Neolithic_Portugal_(n=4)
4.4449872588.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 11.40% CA_Remedello_culture_(n=3)
4.4486076081.20% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 18.80% Middle_Bronze_Age_Portugal_(n=4)
4.5174560487.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 12.40% Neolithic_Britain_(n=62)
4.5302373686.00% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 14.00% Megalithic_Europe_(n=24)
4.5319917485.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 14.40% Globular_Amphora_culture_(n=6)
4.5365875980.40% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 19.60% Middle-Late_Bronze_Age_Spain_(n=38)
4.5546566788.80% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 11.20% Middle_Late_Neolithic_Spain_(n=12)
4.6029515579.80% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 20.20% Iron_Age_Iberia_(n=22)
4.6641713647.60% Iron_Age_Iberia_(n=22) + 52.40% Medieval_Andalusia_(n=14)
4.6736435387.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 12.40% Late_Neolithic_Switzerland_(n=58)
4.7787462448.20% Iron_Age_Southern_Gaul_(n=8) + 51.80% Medieval_Andalusia_(n=14)
4.7805363790.00% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 10.00% Nuragic_Sardinia_(n=13)
4.8182480090.60% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 9.40% Middle_Neolithic_Sardinia_(n=10)
4.8228382788.20% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 11.80% Middle_Neolithic_France_(n=19)
4.8234505691.40% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 8.60% Early_Neolithic_Spain_(n=10)
4.8487890489.40% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 10.60% Chalcolithic_BB_Sardinia_(n=10)
4.8532837549.00% Early_Bronze_Age_Southern_France_(n=5) + 51.00% Medieval_Andalusia_(n=14)




Nice! @Duarte It only appears as fourth in my results

Distance to:Dodecad_K12b_ΙωάννηςΓαβριήλEURO_GED
2.0888565488.60% Latins_(n=4) + 11.40% Early_Medieval_Canaries_(n=5)
2.502500266.00% Epipaleolithic_Magreb_(Iberomaurusians)_(n=5) + 94.00% Latins_(n=4)
3.3841721612.80% Early_Neolithic_Maghreb_(n=1) + 87.20% Latins_(n=4)
3.6073693741.80% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 58.20% Cucuteni-Trypillian_culture_(n=4)
3.8738246279.80% Latins_(n=4) + 20.20% Medieval_Andalusia_(n=14)
4.1309517524.80% Chalcolithic_Portugal_(n=11) + 75.20% Villanovans_(n=2)
4.1679919052.40% Chalcolithic_Italy_(n=5) + 47.60% Ostrogoths_(n=3)
4.237933733.00% Epipaleolithic_Magreb_(Iberomaurusians)_(n=5) + 97.00% Etruscans_(n=48)
4.2630695962.20% Chalcolithic_Italy_(n=5) + 37.80% Vikings_from_Ukraine_(n=4)
4.285917949.40% Chalcolithic_BB_Sardinia_(n=10) + 90.60% Etruscans_(n=48)
4.3089688036.20% EMBA_Greece_(n=6) + 63.80% Iron_Age_Iberia_(n=22)
4.3197824854.20% Cucuteni-Trypillian_culture_(n=4) + 45.80% Medieval_Catalonia_Valencia_(n=9)
4.325919479.40% Chalcolithic_Portugal_(n=11) + 90.60% Etruscans_(n=48)
4.3285048722.40% Bell_Beaker_Iberia_(n=11) + 77.60% Villanovans_(n=2)
4.3313576023.40% Chalcolithic_Spain_(n=60) + 76.60% Villanovans_(n=2)
4.377574786.20% Epipaleolithic_Levant_(Natufians)_(n=6) + 93.80% Latins_(n=4)
4.3784681921.80% Middle-Late_Neolithic_Portugal_(n=4) + 78.20% Villanovans_(n=2)
4.3915345663.40% Chalcolithic_Italy_(n=5) + 36.60% Avars_(n=2)
4.393230218.20% Bell_Beaker_Iberia_(n=11) + 91.80% Etruscans_(n=48)
4.4336777824.80% Chalcolithic_Italy_(n=5) + 75.20% Medieval_Catalonia_Valencia_(n=9)
4.435017479.40% Late_Neolithic_Switzerland_(n=58) + 90.60% Etruscans_(n=48)
4.438682197.60% Middle-Late_Neolithic_Portugal_(n=4) + 92.40% Etruscans_(n=48)
4.445509507.20% Middle_Neolithic_Sardinia_(n=10) + 92.80% Etruscans_(n=48)
4.446229158.20% Chalcolithic_Spain_(n=60) + 91.80% Etruscans_(n=48)
4.457718297.80% Middle_Late_Neolithic_Spain_(n=12) + 92.20% Etruscans_(n=48)
 
WOW! Nice, @Duarte ! It only appears as third in my results

Distance to:Dodecad_K12b_ΙωάννηςΓαβριήλEURO_GED
2.502500266.00% Epipaleolithic_Magreb_(Iberomaurusians)_(n=5) + 94.00% Latins_(n=4)
3.3841721612.80% Early_Neolithic_Maghreb_(n=1) + 87.20% Latins_(n=4)
3.6073693741.80% I8558_Mexico_Colonial_oEuropean_Dod_K12b + 58.20% Cucuteni-Trypillian_culture_(n=4)
3.8738246279.80% Latins_(n=4) + 20.20% Medieval_Andalusia_(n=14)
4.1309517524.80% Chalcolithic_Portugal_(n=11) + 75.20% Villanovans_(n=2)
4.1679919052.40% Chalcolithic_Italy_(n=5) + 47.60% Ostrogoths_(n=3)
4.237933733.00% Epipaleolithic_Magreb_(Iberomaurusians)_(n=5) + 97.00% Etruscans_(n=48)
4.2630695962.20% Chalcolithic_Italy_(n=5) + 37.80% Vikings_from_Ukraine_(n=4)
4.285917949.40% Chalcolithic_BB_Sardinia_(n=10) + 90.60% Etruscans_(n=48)
4.3089688036.20% EMBA_Greece_(n=6) + 63.80% Iron_Age_Iberia_(n=22)
4.3197824854.20% Cucuteni-Trypillian_culture_(n=4) + 45.80% Medieval_Catalonia_Valencia_(n=9)
4.325919479.40% Chalcolithic_Portugal_(n=11) + 90.60% Etruscans_(n=48)
4.3285048722.40% Bell_Beaker_Iberia_(n=11) + 77.60% Villanovans_(n=2)
4.3313576023.40% Chalcolithic_Spain_(n=60) + 76.60% Villanovans_(n=2)
4.377574786.20% Epipaleolithic_Levant_(Natufians)_(n=6) + 93.80% Latins_(n=4)
4.3784681921.80% Middle-Late_Neolithic_Portugal_(n=4) + 78.20% Villanovans_(n=2)
4.3915345663.40% Chalcolithic_Italy_(n=5) + 36.60% Avars_(n=2)
4.393230218.20% Bell_Beaker_Iberia_(n=11) + 91.80% Etruscans_(n=48)
4.4336777824.80% Chalcolithic_Italy_(n=5) + 75.20% Medieval_Catalonia_Valencia_(n=9)
4.435017479.40% Late_Neolithic_Switzerland_(n=58) + 90.60% Etruscans_(n=48)
4.438682197.60% Middle-Late_Neolithic_Portugal_(n=4) + 92.40% Etruscans_(n=48)
4.445509507.20% Middle_Neolithic_Sardinia_(n=10) + 92.80% Etruscans_(n=48)
4.446229158.20% Chalcolithic_Spain_(n=60) + 91.80% Etruscans_(n=48)
4.457718297.80% Middle_Late_Neolithic_Spain_(n=12) + 92.20% Etruscans_(n=48)
4.484442247.40% Nuragic_Sardinia_(n=13) + 92.60% Etruscans_(n=48)

Nice @Ιωάννης Γαβριήλ (y)
 
So far, the best approximation to my origins...


Target: italouruguayan

Distance: 0.0045% / 0.00446783
58.3 Italian
19.6 Spanish_&_Portuguese
19.5 Indigenous_American
2.6 Angolan_&_Congolese

Target: italouruguayan

Distance: 0.0085% / 0.00845471 | ADC: 0.25x RC
65.7 Italian
21.8 Indigenous_American
10.7 Spanish_&_Portuguese
1.8 Angolan_&_Congolese
 
So far, the best approximation to my origins...
Target: italouruguayan
Distance: 0.0045% / 0.00446783
58.3 Italian
19.6 Spanish_&_Portuguese
19.5 Indigenous_American
2.6 Angolan_&_Congolese
Target: italouruguayan
Distance: 0.0085% / 0.00845471 | ADC: 0.25x RC
65.7 Italian
21.8 Indigenous_American
10.7 Spanish_&_Portuguese
1.8 Angolan_&_Congolese

What did you do to get those results?
 

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