HUNGARIANS! Post updated Dodecad K12b for plotting!

[Turul Karom]

I hope the old Magyars are proud of me up there.

I'm sure they would be.

What matters most is that you learn from them when looking back, and you spend your future striving to be the Magyar that 1000 years from now, the Magyars of the future will say, "I hope they [Kökény] would be proud of me".

[magicalM]

There is a mistake in the previous one.
MagicalM, 7.95,0.00,0.88,0.34,30.80,44.58,0.41,0.00,2.24,0.2 4,0.23,12.56,0.00

Sent from my Mi 9T using Tapatalk

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 4.78
2 Hungarians (Behar) 7.03
3 Mixed_Germanic (Dodecad) 9.56
4 Dutch (Dodecad) 10.71
5 CEU30 (1000Genomes) 13.29
6 Kent (1000Genomes) 13.42
7 English (Dodecad) 13.51
8 British_Isles (Dodecad) 14.56
9 French (Dodecad) 14.69
10 French (HGDP) 15.2
11 Swedish (Dodecad) 15.29
12 Argyll (1000Genomes) 15.38
13 Norwegian (Dodecad) 15.43
14 Orkney (1000Genomes) 15.81
15 Cornwall (1000Genomes) 15.9
16 British (Dodecad) 15.96
17 Orcadian (HGDP) 16.16
18 Irish (Dodecad) 16.22
19 Romanians (Behar) 18.07
20 Bulgarian (Dodecad) 19.99

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 91.4% German (Dodecad) + 8.6% Turks (Behar) @ 1.11
2 91.2% German (Dodecad) + 8.8% Turkish (Dodecad) @ 1.19
3 92.3% German (Dodecad) + 7.7% Uzbekistan_Jews (Behar) @ 1.23
4 92.8% German (Dodecad) + 7.2% Azerbaijan_Jews (Behar) @ 1.26
5 92.8% German (Dodecad) + 7.2% Armenians_15 (Yunusbayev) @ 1.28
6 92.7% German (Dodecad) + 7.3% Georgia_Jews (Behar) @ 1.28
7 92.8% German (Dodecad) + 7.2% Armenian (Dodecad) @ 1.32
8 93% German (Dodecad) + 7% Iranian_Jews (Behar) @ 1.32
9 92.9% German (Dodecad) + 7.1% Assyrian (Dodecad) @ 1.34
10 92.9% German (Dodecad) + 7.1% Armenians (Behar) @ 1.4
11 92.2% German (Dodecad) + 7.8% Iranian (Dodecad) @ 1.42
12 92.2% German (Dodecad) + 7.8% Kurd (Dodecad) @ 1.42
13 92.2% German (Dodecad) + 7.8% Kurds (Yunusbayev) @ 1.44
14 92.9% German (Dodecad) + 7.1% Iraq_Jews (Behar) @ 1.46
15 92.1% German (Dodecad) + 7.9% Lebanese (Behar) @ 1.5
16 92.8% German (Dodecad) + 7.2% Druze (HGDP) @ 1.53
17 92.3% German (Dodecad) + 7.7% Iranians (Behar) @ 1.57
18 91.4% German (Dodecad) + 8.6% Kumyks (Yunusbayev) @ 1.6
19 92.2% German (Dodecad) + 7.8% Cypriots (Behar) @ 1.78
20 92.6% German (Dodecad) + 7.4% Jordanians (Behar)

[Kaspias]

[Kaspias]

I would also be curious if you can find something "Árpádian" in my DNA. Here it is:

Dunai_scaled,0.12862,0.11577,0.052797,0.034561,0.0 33852,0.010598,0.007755,0.008077,0.000614,-0.006196,-0.002923,0.002847,0.002825,0.006606,0.002172,0.001 458,0.008605,-0.001647,-0.001257,0.008004,-0.001872,0,0.003081,-0.000361,-0.00467

I prepared a spreadsheet to cover possible Uralic, Finno-Ugric, Turkic, Mongolic and Iranic ancestry.

SS:

KAZ_Turk,0.0774,-0.0873355,0.0254555,0.0150195,-0.025543,0.00251,0.0048175,0.0077305,-0.0172825,-0.009385,-0.019568,-0.0029225,-0.0030475,-0.010735,0.0007465,0.0057675,-0.00013,0.001457,0.003331,0.000438,-0.005116,0.0059355,-0.005608,-0.0006025,0.002874
FIN_Levanluhta_IA,0.1044325,-0.036051,0.1057825,0.0792965,-0.0122328,0.008576,0.006169,0.0141918,0.0037328,-0.0303422,0.033046,-0.0083175,0.019772,-0.0182695,-0.0065485,-0.0034805,-3.28e-05,-0.0031672,-0.0073848,0.0008442,0.016658,-0.0018547,-0.0016945,0.004097,0.0008382
Hungarian,0.1270753,0.1296252,0.0553559,0.0364298,0.0363804,0.0119326,0.0066138,0.0075326,0.0020597,-0.0046731,-0.0014731,-0.0027191,0.0038544,0.0087488,-0.0043722,0.0001231,-8.4e-05,-0.0003891,0.0026486,-0.0013221,-0.003378,0.0013865,0.0055286,0.0026939,0.0004789
MNG_Xiongnu_Central_Asian,0.0700015,-0.147252,0.034318,0.043605,-0.0472395,0.0111555,-0.000235,0.0011535,-0.0174865,-0.0212305,-0.0135595,-0.0051705,0.00052,-0.0146565,0.0166255,0.007027,-0.010496,0.0036105,0.001257,-0.0034395,-0.0159715,0.005997,0.0085655,0.000181,0.005748
MNG_Xiongnu_East_Asian,0.022006,-0.4292303,0.0204903,-0.0560943,0.0305697,0.0063213,0.0094003,0.0036153,-0.0036133,0.0040093,-0.0621947,-0.004646,0.0051537,-0.005413,0.000407,0.003226,0.0013907,0.002154,-0.0049857,-0.0053777,0.0047003,0.0076253,0.0071483,-0.0057433,-0.0008383
MNG_Mongun_Taiga_LBA_3,0.0861263,-0.1056147,0.053551,0.0425283,-0.01549,0.016083,0.002115,0.003923,-0.0072943,-0.0179807,-0.0177543,-0.0075433,0.0041623,-0.0219737,0.010993,0.0064967,-0.0050413,-0.0028297,-0.0010893,0.0044603,-0.0110223,0.00136,-0.0053407,0.008274,-0.004231
MNG_Sagly_EIA_4,0.0857739,-0.1156978,0.0614975,0.0476886,-0.0436564,0.0023308,-1.68e-05,0.0017966,-0.0115701,-0.0231569,-0.0103812,-0.0020339,0.0017628,-0.0228651,0.0151036,0.0060612,-0.0051316,-0.0009772,-0.0011851,0.0055919,-0.0200629,0.0044691,-0.0008627,0.0018419,-0.0020101
MNG_MA,0.047806,-0.344264,0.070144,-0.006137,-0.072013,-0.034861,0.011751,0.022845,0.007772,0.015308,-0.016239,-0.003297,0.000446,0.00578,0.012622,-0.001724,-0.008214,0.001267,0.005656,0.007128,-0.027701,-0.006801,-0.027854,-0.004217,0.000479
KAZ_Kimak,0.080814,-0.140143,0.043746,0.027455,-0.050471,-0.011435,0.00376,0.000462,-0.020043,-0.018224,-0.007632,-0.003147,-0.006244,-0.002064,0.008822,0.007425,-0.019558,0.005448,-0.003142,-0.027013,-0.02533,-0.010387,-0.001479,-0.010363,0.001317
KAZ_Kipchak,0.0705705,-0.1269415,0.0273415,0.0046835,-0.039546,-0.00502,0.00564,0.013961,-0.003784,-0.007836,-0.012991,0.000225,0.0037165,-0.005092,0.000746,0.010607,0.007497,-0.0023435,0.005845,0.005065,-0.0101695,0.000742,-0.0027115,0.0013255,-0.002455
Hun_Tian_Shan,0.0867453,-0.0678801,0.0366602,0.047702,-0.0416433,0.0071483,0.0034508,0.0032548,-0.0173307,-0.0242373,-0.0082134,-0.0019088,0.0009623,-0.0222369,0.0142363,0.0097069,-0.0019694,0.001867,-0.0008601,0.0016522,-0.0145467,0.0016401,-0.0011352,0.0035261,2.53e-05
UZB_Sappali_Tepe2_BA,0.0728465,0.0939365,-0.114456,-0.020672,-0.0861695,0.0046015,0.0043475,-0.007846,-0.0481655,-0.025422,0.0003245,-0.0002245,0.006169,-0.003234,0.014658,0.028706,-0.0004565,0.002724,-0.000943,-0.016383,0.002995,-0.006368,-0.0043135,-0.01211,0.004371
Scythian_Zevakino_Chilikta_IA,0.083091,-0.102061,0.039786,0.0308465,-0.035083,0.0039045,-0.0047,-0.0029995,-0.015339,-0.020775,-0.016888,0.001199,0.00171,-0.024772,0.0109255,0.012994,-0.000326,-0.0002535,0.0039595,0.004252,-0.00549,0.0030295,-0.008196,0.000301,-0.005688
Scythian_RUS_Urals,0.0774,-0.078196,0.057699,0.047158,-0.039084,0.007809,-0.004465,0.000231,-0.01718,-0.017677,-0.008282,-0.006444,-0.00773,-0.020919,0.012079,0.009149,-0.005085,-0.006334,0.006662,-0.003377,-0.01722,0.00915,-0.003944,0.009278,0.006706

These were your results:


Target: Dunai_scaled
Distance: 1.7933% / 0.01793308
93.6 Hungarian
6.4 Hun_Tian_Shan

Target: Dunai_scaled
Distance: 1.7876% / 0.01787642
93.6 Hungarian
3.8 Hun_Tian_Shan
2.6 KAZ_Turk

Target: Dunai_scaled
Distance: 1.7839% / 0.01783925
93.6 Hungarian
5.2 MNG_Mongun_Taiga_LBA_3
0.8 UZB_Sappali_Tepe2_BA
0.4 Hun_Tian_Shan

Then I removed 93.6% Hungarian to zoom the others:



Coordinates:

Dunai-Asian,0.151211238,-0.0868623,0.015373087,0.0072298,-0.00312585,-0.008920525,0.02444505,0.01603885,-0.020529363,-0.028468413,-0.024127788,0.084251213,-0.012229975,-0.02473245,0.097880925,0.020980913,0.135681625,-0.020043788,-0.0583764,0.144398213,0.02015325,-0.020277563,-0.03271515,-0.045038913,-0.079972663

There is a problem because not only Asiatic but also some Caucasian(I mean region) admixture is present there, it is like 25%. I can't determine which population should I use to represent that Caucasian part, but will use Imer by assuming it is not that ancient. I can guarantee the accuracy of what I did till this step, but this one will be a bit experimental considering I'm just assuming the population should I use.

25% Imer removed:



Coordinates:

-Caucasian,0.165570983,-0.160228867,0.041163717,0.024971467,0.008614067,-0.008919167,0.028801867,0.0232774,-0.00604755,-0.03211415,-0.03201885,0.107988817,-0.007922233,-0.035389533,0.129883567,0.03592995,0.178553233,-0.02525545,-0.074667667,0.187428483,0.023036133,-0.02749015,-0.0436284,-0.05769015,-0.106031417

P.S: Subtraction process' itself causes high distances, you shouldn't give importance to distance but population list.

[axlredneck]

---

[Mr.G]

My G25 result with Hungarian, German, and English. Very accurate:

Target: MrG_scaled
Distance: 1.7883% / 0.01788270 | ADC: 0.25x
49.4 Hungarian
39.4 German
11.2 English


Now using Hungarian, German, English + Kaspias code:

Target: MrG_scaled
Distance: 1.2794% / 0.01279435
44.6 Hungarian
28.4 English_Cornwall
21.2 German
4.4 UZB_Sappali_Tepe2_BA
1.4 KAZ_Kipchak

It seems I get different exotic populations, compared to Dunai.

[17571imre]

my parents and my results adding German English and Dutch.
also very accurate

Target: mh_scaled
Distance: 2.1005% / 0.02100488

77.6 Hungarian
18.0 German
4.4 UZB_Sappali_Tepe2_BA

Target: father
Distance: 4.2477% / 0.04247654

50.4 German
43.0 Hungarian
6.6 UZB_Sappali_Tepe2_BA

mother:
Target: cb_scaled
Distance: 2.4629% / 0.02462851

96.0 Hungarian
2.8 KAZ_Kipchak
1.0 MNG_Xiongnu_East_Asian
0.2 UZB_Sappali_Tepe2_BA

[Mr.G]

Target: father
Distance: 4.2477% / 0.04247654

50.4 German
43.0 Hungarian
6.6 UZB_Sappali_Tepe2_BA

I forgot to ask you when I saw your father's results in another thread- are these extrapolated from your results or did he get tested?

[17571imre]

I forgot to ask you when I saw your father's results in another thread- are these extrapolated from your results or did he get tested?

they are extrapolated. Kaspias made them based of my mothers and mine results. on some calculators he gets strange results and on some calculators the results look accurate with his ancestry like the calculator kaspias posted in this thread.

[Kaspias]

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Why you edited? I think it was a good catch