Eurogenes 9K-like for scaled G25 references.

[gixajo]

With the 2 European components I like the most, so I had to make a calculator with it!!!

In the whole week no one has posted any new model or calculator, so it´s time to post one.

References just made!!! Warm and fresh out of the oven.!!!

No penalization needed IMO.


South_Asian,0.0665459,-0.0068268,-0.1179286,0.0673394,-0.067636,0.0434138,0.0017597,0.0058713,0.0072386,0 .002156,-0.004257,-0.0009756,0.0015543,-0.002456,0.0042436,0.0065442,-0.0018902,0.0013452,0.0009856,-0.0075808,-0.0005279,-0.0046354,0.0009271,-0.0012567,0.0011598
Caucasus,0.1080138,0.1328912,-0.0544741,-0.0504418,-0.0344063,-0.0109562,0.0069041,-0.0053076,-0.0461651,-0.0124795,0.0021115,0.0068295,-0.0135207,0.0025555,-0.0011257,-0.0099384,0.006383,-0.0019666,-0.0036734,0.0066296,0.0063238,0.0020674,0.0004001,-0.0037457,-0.0002372
Southwest_Asian,0.0452643,0.1383783,-0.0619908,-0.1095252,-0.0105679,-0.0461259,-0.0113567,-0.0074136,0.0516637,-0.0057154,0.0133851,-0.027717,0.0539014,0.0052375,0.0039085,0.0206818,-0.0200784,0.0048638,0.0007186,0.020185,0.0102677,0 .0136903,-0.0074518,0.0048279,-0.0060651
North_Amerindian&Arctic,0.0538385,-0.3161004,0.110798,0.079388,-0.1043169,-0.0169379,-0.2158336,-0.2578507,-0.0072025,-0.0199366,0.0045578,-0.0050283,0.0057334,0.0064039,-0.011129,-0.0020463,0.0005477,0.0016912,0.0080364,0.0061799, 0.00188,-0.0049708,0.001327,0.0038438,0.004746
Siberian,0.0434839,-0.4057611,0.1344098,0.0021563,-0.1376665,-0.0746946,-0.0029635,0.0020404,0.0230506,0.0119539,0.0609923, 0.0052397,-0.0054517,-0.0037527,-0.0171311,-0.0089543,0.0004645,0.011596,0.0250835,0.0059636,0 .0385649,-0.0315874,0.0151013,0.0126717,0.0196663
Mediterranean,0.1155748,0.148115,0.0180054,-0.0190713,0.0295011,-0.0072249,-0.0015928,-0.0005065,0.0123224,0.0231875,-0.0007569,0.0042953,-0.0095622,-0.0034627,-0.0021504,0.0027498,0.0053501,0.0008186,0.0000391,-0.0039763,-0.0000867,0.0015189,0.0000527,0.0022907,-0.000493
East_Asian,0.0237258,-0.4481081,0.0134506,-0.062522,0.0420248,0.0138021,0.0052406,0.0024358,-0.0096239,0.0069371,-0.0749928,-0.0092785,0.0113395,-0.0068475,-0.0081961,-0.002341,0.0013821,0.0015442,-0.0001103,-0.0071271,0.0182829,-0.004538,0.0070443,0.0007417,-0.0204133
West_African,-0.6224476,0.0646936,0.0211989,0.0151445,-0.0005209,0.0112901,-0.0340584,0.0386069,-0.0396683,0.0260684,0.0062188,-0.0016277,0.015215,0.000836,0.007973,-0.0081821,0.0058074,0.0005923,0.0017114,-0.001208,-0.0007742,0.0003633,0.000571,-0.0000672,0.000114
North_European,0.1316796,0.1247606,0.0750847,0.064 7893,0.0405654,0.0230907,0.0077914,0.0104202,0.002 7759,-0.0138903,-0.0028189,-0.003437,0.0035614,0.0053628,0.0079277,0.0041143,-0.0025659,0.0000449,0.0021498,0.003769,0.0034393,0 .0006099,0.0022928,0.0063713,0.001008

To have an idea about what represents each reference/component:

South_Asian=India+Pakistan+Afganistan+Bangladesh
Caucasus=Armenia+Georgia
Southwest_Asian=Saudi+Yemenite
North_Amerindian&Arctic=NorthAmerindian+Zapoteca+Chipewyan
Siberian=YukagirTundra+Even+Evenk+Nganassan
Mediterranean=Italian_Tuscany+Spanish_Alacant+Gree k_Laconia
East_Asian=Korea+Japan+Han_Henan
West_African=Cameroon+Gambian+Nigerian
North European=Swedish+Norway+Danish+Estonia+Russian_Psk ov

Mixing many somewhat distant references to make some components will give distances that are not too close in many of us, but they are somewhat imprecise or difuse components, so getting a close distance isn't very important in this model.

[gixajo]

Target: gixajo_scaled
Distance: 4.1569% / 0.04156927
76.4 Mediterranean
23.6 North_European

Target: gixajo_dad_scaled
Distance: 4.0155% / 0.04015528
88.4 Mediterranean
10.6 North_European
1.0 West_African

Target: gixajo_mom_scaled
Distance: 4.8876% / 0.04887550
67.2 Mediterranean
32.8 North_European

[Dušan]

Target: Dušan_g25
Distance: 3.3230% / 0.03322966
57.0 North_European
35.8 Mediterranean
6.8 Caucasus
0.4 Siberian

[oszkar07]

Target: Oszkar
Distance: 2.7747% / 0.02774719
71.2 North_European
28.4 Mediterranean
0.4 Caucasus

[Oturan Boğa]

Target: OturanBoga_scaled
Distance: 3.2285% / 0.03228479
51.8 Caucasus
21.6 North_European
12.0 East_Asian
9.2 Southwest_Asian
3.2 Mediterranean
1.4 South_Asian
0.8 West_African

[hazmatnik]

Target: hazmatnik_scaled
Distance: 4.4228% / 0.04422824
47.8 North_European
43.2 Mediterranean
5.0 Caucasus
4.0 Southwest_Asian

[JamesBond007]

Target: James_scaled
Distance: 4.2746% / 0.04274559 | ADC: 0.25x RC
74.6 North_European
25.4 Mediterranean

Target: James_scaled
Distance: 4.2549% / 0.04254940
73.6 North_European
25.6 Mediterranean
0.8 North_Amerindian&Arctic

[alnortedelsur]

Target: Alnortedelsur_scaled
Distance: 3.4730% / 0.03472978
80.4 Mediterranean
7.6 North_Amerindian&Arctic
6.6 North_European
5.4 West_African

Distance to: Alnortedelsur_scaled
0.07689931 Mediterranean
0.12696426 North_European
0.15121353 Caucasus
0.18953422 Southwest_Asian
0.23815350 South_Asian
0.55555872 North_Amerindian&Arctic
0.56625013 Siberian
0.57526650 East_Asian
0.70171856 West_African

[Tongio]

Close distance for me.Also close to my actual ancestry.

Target: Tongio_simulated_g25_scaled
Distance: 2.1052% / 0.02105222
83.4 Mediterranean
7.3 West_African
4.2 North_European
3.6 Southwest_Asian
1.5 North_Amerindian&Arctic

Distance to: Tongio_simulated_g25_scaled
0.06422631 Mediterranean
0.13589519 North_European
0.14517735 Caucasus
0.16687022 Southwest_Asian
0.24276807 South_Asian
0.58638526 Siberian
0.58844684 North_Amerindian&Arctic
0.59122573 East_Asian
0.68970596 West_African

[gixajo]

Close distance for me.Also close to my actual ancestry.



Target: Alnortedelsur_scaled
Distance: 3.4730% / 0.03472978


It seems that It´s a good calculator for Americans.

[mitalit]

Target: Xabier_scaled
Distance: 3.6359% / 0.03635880
73.4 Mediterranean
25.6 North_European
0.4 East_Asian
0.4 West_African
0.2 Siberian

[gixajo]

Target: Bilbaíno Cabezagorda

You avatar is bald...I like it.:thumb001:

[Impaler]

Target: Impaler
Distance: 1.7066% / 0.01706574
53.2 Mediterranean
22.6 North_European
14.2 South_Asian
8.2 Caucasus
0.6 East_Asian
0.4 Siberian
0.4 Southwest_Asian
0.4 West_African

Target: Father
Distance: 2.0538% / 0.02053825
40.6 Mediterranean
21.4 South_Asian
19.4 Caucasus
17.8 North_European
0.6 East_Asian
0.2 Southwest_Asian

[PLogan]

Target: PLogan_scaled
Distance: 4.5830% / 0.04583010
67.0 North_European
33.0 Mediterranean

Target: Father_scaled
Distance: 3.7700% / 0.03769975
68.0 North_European
32.0 Mediterranean

Target: Mother_scaled
Distance: 3.9605% / 0.03960514
68.6 North_European
31.4 Mediterranean


Distance to: PLogan_scaled
0.06058350 North_European
0.09249877 Mediterranean
0.18307145 Caucasus
0.25083692 Southwest_Asian
0.26581127 South_Asian
0.60370109 North_Amerindian&Arctic
0.60871687 Siberian
0.61550167 East_Asian
0.76725510 West_African

[kingmob]

Target: eptr_scaled
Distance: 2.6145% / 0.02614546
49.4 Caucasus
49.2 Mediterranean
1.4 North_European

[Pedro Ruben]

Target: Pedro_scaled
Distance: 3.5584% / 0.03558424
75.2 Mediterranean
20.4 North_European
4.2 West_African
0.2 North_Amerindian&Arctic

Target: Mom_scaled
Distance: 4.0424% / 0.04042376
75.0 Mediterranean
21.8 North_European
3.2 West_African

Target: Dad_scaled
Distance: 4.1751% / 0.04175122
76.6 Mediterranean
18.2 North_European
5.0 West_African
0.2 Siberian

[alexmegas777]

Distance to: alexmegas(Romanian)_scaled
0.04677885 Mediterranean
0.08847936 North_European
0.14039185 Caucasus
0.20711529 Southwest_Asian
0.25432338 South_Asian
0.59726636 Siberian
0.59830100 North_Amerindian&Arctic
0.60794506 East_Asian
0.76245202 West_African



Target: alexmegas(Romanian)_scaled
Distance: 2.8427% / 0.02842662
62.0 Mediterranean
32.2 North_European
5.6 Caucasus
0.2 North_Amerindian&Arctic

[paradox]

Target: scaled
Distance: 2.6049% / 0.02604943
54.2 Mediterranean
21.2 North_European
19.8 Caucasus
4.6 Southwest_Asian
0.2 Siberian
------------------
Target: Father_scaled
Distance: 3.2974% / 0.03297427
49.0 Mediterranean
37.6 North_European
10.6 Caucasus
2.8 Southwest_Asian

[Grace O'Malley]

Target: Grace_scaled
Distance: 3.7981% / 0.03798086
81.6 North_European
18.4 Mediterranean

Distance to: Grace_scaled
0.04392742 North_European
0.10500927 Mediterranean
0.19038342 Caucasus
0.25900569 Southwest_Asian
0.26892100 South_Asian
0.59669514 North_Amerindian&Arctic
0.60090535 Siberian
0.61521062 East_Asian
0.77252836 West_African

[vader]

Target: vader_scaled
Distance: 4.2581% / 0.04258149
79.6 Mediterranean
17.6 North_European
2.8 West_African

[RyoHazuki]

Target: RyoAncestry_scaled
Distance: 4.0033% / 0.04003338
68.2 North_European
31.2 Mediterranean
0.6 West_African

[Rafael Passoni]

Target: brother_sample_simulated_g25_scaled
Distance: 1.7165% / 0.01716545
99.0 Mediterranean
1.0 North_European

Target: Rafael_simulated_g25_scaled
Distance: 1.4887% / 0.01488726
100.0 Mediterranean


Target: Dad_sample_simulated_g25_scaled
Distance: 1.9599% / 0.01959912
96.6 Mediterranean
3.4 North_European


Target: Mom_sample_simulated_g25_scaled
Distance: 1.5969% / 0.01596855
94.2 Mediterranean
5.8 North_European

;)

[Tongio]

Target: brother_sample_simulated_g25_scaled
Distance: 1.7165% / 0.01716545
99.0 Mediterranean
1.0 North_European

Target: Rafael_simulated_g25_scaled
Distance: 1.4887% / 0.01488726
100.0 Mediterranean


Target: Dad_sample_simulated_g25_scaled
Distance: 1.9599% / 0.01959912
96.6 Mediterranean
3.4 North_European


Target: Mom_sample_simulated_g25_scaled
Distance: 1.5969% / 0.01596855
94.2 Mediterranean
5.8 North_European

;)

I wonder why are spaniards and portuguese scoring 1/4 north Europe, with bad distances while we new worlders of Iberian origin have good distance and much lower north european.

[gixajo]

I wonder why are spaniards and portuguese scoring 1/4 north Europe, with bad distances while we new worlders of Iberian origin have good distance and much lower north european.

Because you have 3 perfectly differentiated components that represent your modern ancestry, me as Spaniard has just one, and not very close.

The case of Rafael is special, his main ancestry is Italian and the Mediterranean reference is Tuscany+Greel_Laconia+Spanish_Alacant so this reference fits him perfectly, because Laconia+Alacant average would plot close to the Tuscanian reference, so that Mediterranean reference has Tuscany as closest average.

Edit: And Rafael coordinates are simulated ones, these type of coordinates usually get closer distances than real ones.

[Nelju]

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">


<tbody>
Target
Distance
North_Amerindian&Arctic
Mediterranean
West_African
Caucasus
East_Asian
North_European
Siberian
South_Asian
Southwest_Asian



mexico_05_sample_simulated_g25_scaled
0.05376924
66
31.6
2.4
0
0
0
0
0
0


mexicoguatemalamix_sample_simulated_g25_scaled
0.05097361
61.4
28
10.6
0
0
0
0
0
0


mexico_03_sample_simulated_g25_scaled
0.04669726
61
29.6
5.2
0
0
4.2
0
0
0


mexico_04_sample_simulated_g25_scaled
0.04192366
55.8
39.8
2.8
0
0
1.6
0
0
0


Venezuela_03_falcon_sample_simulated_g25_scaled
0.05494763
54
29.6
15
0
0
1.4
0
0
0


mexico_02_sample_simulated_g25_scaled
0.32640991
53
0
0
0
0
47
0
0
0


Mexico_07_Nayarit_sample_simulated_g25_scaled
0.0336293
49.6
42.2
5
0
0
3.2
0
0
0


Panama_01_Chiriqui_sample_simulated_g25_scaled
0.04436143
47.4
44
6.8
0
0
1.8
0
0
0


guatemala_01_sample_simulated_g25_scaled
0.04237203
46.4
47.6
6
0
0
0
0
0
0


chile_01_sample_simulated_g25_scaled
0.04418676
44.8
54
1.2
0
0
0
0
0
0


VenCol_01_sample_simulated_g25_scaled
0.06000541
44.8
37.8
5.2
0
0
12.2
0
0
0


panama_02_chiriqui_sample_simulated_g25_scaled
0.24818759
43.6
0
0
1
0
52.4
0
3
0


guatemala_02_sample_simulated_g25_scaled
0.03792643
43
54.2
2.8
0
0
0
0
0
0


Chile_03_Valparaiso_sample_simulated_g25_scaled
0.04073745
42.6
50.2
0.8
0
0
6.4
0
0
0


nicaragua_01_sample_simulated_g25_scaled
0.04131743
42.2
40.4
7
0
0
10.4
0
0
0


guatemala_03_chimaltenango_sample_simulated_g25_sc aled
0.03940718
41.2
52
0
0
0
6.8
0
0
0


colombia_02_sample_simulated_g25_scaled
0.09729652
41
24.8
0
0
0
34.2
0
0
0


Chile_04_Talca_sample_simulated_g25_scaled
0.04066246
38.4
60.4
0
0
0
1.2
0
0
0


Venezuela_02_sample_simulated_g25_scaled
0.03842364
38.4
52.2
7.4
0
0
0
0
0
2


nicaragua_03_sample_simulated_g25_scaled
0.02727791
37.2
45
17.8
0
0
0
0
0
0


Chile_02_sample_simulated_g25_scaled
0.04044243
36
58.8
0
0
0
5.2
0
0
0


chile_07_sample_simulated_g25_scaled
0.03533196
35.2
59.6
0.4
0
0
4.8
0
0
0


Mexico_01_Guanajato_sample_simulated_g25_scaled
0.02558512
33.8
60.8
4.2
0
0
1.2
0
0
0


costarica_02_sample_simulated_g25_scaled
0.02738044
32.2
42.8
14.4
0
0
10.6
0
0
0


costarica_03_sample_simulated_g25_scaled
0.03921046
32.2
65.8
2
0
0
0
0
0
0


panama_03_chiriqui_sample_simulated_g25_scaled
0.03445862
31.2
53.6
8
0
0
7.2
0
0
0


venezuela_07_sample_simulated_g25_scaled
0.03082218
31.2
45.2
16.2
0
0
7.4
0
0
0


costarica_01_alajuela_sample_simulated_g25_scaled
0.02969111
31
63
1.8
0
0
4.2
0
0
0


Venezuela_04_Trujillo_sample_simulated_g25_scaled
0.02941783
25.2
67
7.4
0
0
0.4
0
0
0


costarica_04_sample_simulated_g25_scaled
0.02696253
23.8
66.2
1.4
0
0
8.6
0
0
0


panama_04_chiriqui_sample_simulated_g25_scaled
0.27911612
23.6
0
0.4
0
0
69.4
0
6.6
0


nicaragua_02_sample_simulated_g25_scaled
0.04908165
23.2
69.8
7
0
0
0
0
0
0


venezuela_08_sample_simulated_g25_scaled
0.02195241
23
60.2
11.4
0
0
5.4
0
0
0


Argentina_02_Entrerios_sample_simulated_g25_scaled
0.03395859
22.4
64.4
1.8
0
0
11.4
0
0
0


Colombia_01_sample_simulated_g25_scaled
0.03238998
21.2
70.6
6
0
0
2.2
0
0
0


Venezuela_05_sample_simulated_g25_scaled
0.01883568
20.2
59.8
15.8
0
0
2.4
0
0
1.8


mexico_06_sample_simulated_g25_scaled
0.03014547
20
76.8
2.2
0
0
1
0
0
0


PuertoRico_01_simulated_g25_scaled
0.0324309
19.4
69.4
7.2
0
0
4
0
0
0


puertorico_09_sample_simulated_g25_scaled
0.02903829
18.2
64.2
13
0
0
4.6
0
0
0


brasil_12_sample_simulated_g25_scaled
0.02238042
17.2
71.2
4.4
0
0
7.2
0
0
0


PuertoRico_03_sample_simulated_g25_scaled
0.02704357
17.2
71.6
5.6
0
0
5.6
0
0
0


Brazil_16_sample_simulated_g25_scaled
0.01848314
16.6
45.4
37.2
0
0
0.2
0
0
0.6


Chile_05_sample_simulated_g25_scaled
0.0442617
16.4
69.2
0
0
0
14.4
0
0
0


Brazil_10_saopaulo_sample_simulated_g25_scaled
0.02506543
16.2
70
1.4
0
0
11.4
0
0
1


puertorico_06_sample_simulated_g25_scaled
0.02699662
15.8
62.4
16
0
0
5.8
0
0
0


puertorico_08_sample_simulated_g25_scaled
0.0576781
15.4
73.2
11.4
0
0
0
0
0
0


PuertoRico_02_sample_simulated_g25_scaled
0.03200598
15.2
67.8
11.6
0
0
5.4
0
0
0


puertorico_10_sample_simulated_g25_scaled
0.0242336
14.4
69.6
5.4
0
0
10.6
0
0
0


uruguay_01_sample_simulated_g25_scaled
0.01648003
14
84.2
1.6
0
0
0.2
0
0
0


puertorico_05_sample_simulated_g25_scaled
0.0216141
13.6
73.6
6.8
0
0
6
0
0
0


brazil_22_riograndedosul_sample_simulated_g25_scal ed
0.02809364
13.4
53.8
10.2
0
0
22.6
0
0
0


puertorico_07_sample_simulated_g25_scaled
0.0266069
13.4
79.8
5.8
0
0
1
0
0
0


brazil_09_sample_simulated_g25_scaled
0.0255053
13
43.6
36.6
0
0
6.8
0
0
0


PuertoRico_04_sample_simulated_g25_scaled
0.0292892
12.4
67.8
6.8
0
0
13
0
0
0


cuba_06_sample_simulated_g25_scaled
0.02828369
12
76.6
6.6
0
0
4.8
0
0
0


Brazil_11_sample_simulated_g25_scaled
0.22984278
9.6
38.6
29
0
0
0
4.6
0
18.2


brazil_07_goias_sample_simulated_g25_scaled
0.02151739
8.8
56
23.6
0
0.6
11
0
0
0


brazil_24_saopaulo_sample_simulated_g25_scaled
0.02381478
8.8
73.8
2.6
0
0
14.8
0
0
0


cuba_03_sample_simulated_g25_scaled
0.02475153
7.8
78.6
4.2
0
0
9.4
0
0
0


Venezuela_06_Alnortedelsur_scaled
0.03472978
7.6
80.4
5.4
0
0
6.6
0
0
0


Brasil_03_sample_simulated_g25_scaled
0.01557431
7
40.4
2
1.2
0
49.4
0
0
0


brazil_08_sample_simulated_g25_scaled
0.02915685
6.8
68.6
11.4
0
0
12.4
0
0
0.8


Brazil_18_ceara_sample_simulated_g25_scaled
0.02493765
5.8
71.8
4.2
0
0
18.2
0
0
0


Brazil_19_minasgerais_sample_simulated_g25_scaled
0.02088027
5.8
76.2
1.2
0
0
16.8
0
0
0


cuba_05_sample_simulated_g25_scaled
0.03129671
5.6
78.2
5.4
0
0
10.8
0
0
0


brazil_23_riograndedosul_sample_simulated_g25_scal ed
0.01981147
5.4
72
4.2
0
0
18.4
0
0
0


brazil_20_minasgerais_sample_simulated_g25_scaled
0.02641618
5.2
63
20.2
0
0
11.6
0
0
0


brazil_21_minasgerais_sample_simulated_g25_scaled
0.02316951
4
75.8
6
0
1.2
13
0
0
0


argentina_03_sample_simulated_g25_scaled
0.03538261
3.6
90
0.4
0
0
5.4
0.6
0
0


cuba_10_pinardelrio_sample_simulated_g25_scaled
0.08174525
3.6
15.6
2.4
16.2
17
40.6
0
4.6
0


Argentina_04_Erronkarri_sample_simulated_g25_scale d
0.04928102
3.2
78
0
0
0
18.8
0
0
0


chile_06_sample_simulated_g25_scaled
0.0284094
2.8
45.2
0
0
0
52
0
0
0


cuba_02_sample_simulated_g25_scaled
0.03345142
2.2
80.2
3.2
0
0.6
13.8
0
0
0


brazil_15_sample_simulated_g25_scaled
0.01706264
2
70
0.8
0
0
27.2
0
0
0


brasil_13_saopaulo_sample_simulated_g25_scaled
0.11111626
1.6
86
3.4
0
0
0
2
0
7


brazil_04_sample_simulated_g25_scaled
0.01899522
1.4
53
1
0
0
44.6
0
0
0


cuba_08_sample_simulated_g25_scaled
0.0327567
1
81.6
2.4
0
0
15
0
0
0


Brasil_02_Bahia_sample_simulated_g25_scaled
0.02722263
0.8
71.2
16.2
0
0
11.8
0
0
0


brazil_14_sample_simulated_g25_scaled
0.0255776
0.4
65
4.6
0
0
30
0
0
0


cuba_04_sample_simulated_g25_scaled
0.02599829
0.4
78.2
6.6
0
0
14.8
0
0
0


Argentina_01_simulated_g25_scaled
0.01145247
0
87.6
1.4
3
1
0
0
0
7


Brazil_01_Bahia_sample_simulated_g25_scaled
0.01847718
0
65.2
19.8
0
0
15
0
0
0


brazil_05_ceara_sample_simulated_g25_scaled
0.02992679
0
34.2
0
0
0
65.8
0
0
0


brazil_06_sample_simulated_g25_scaled
0.01567445
0
81.4
0
0
0
18.6
0
0
0


brazil_17_sample_simulated_g25_scaled
0.0176309
0
94.2
0
0
0
5.8
0
0
0


Cuba_01_sample_simulated_g25_scaled
0.03058301
0
73.2
6
0
0
20.8
0
0
0


cuba_07_sample_simulated_g25_scaled
0.02939174
0
82.6
3
0
0
14.4
0
0
0


cuba_09_sample_simulated_g25_scaled
0.19609314
0
74
8
0
0
0
4.4
0
13.6


Average
0.04628311
20.5
59.6
6.6
0.2
0.2
12
0.1
0.2
0.6

</tbody>
</google-sheets-html-origin>

[vasiliki23]

Target: VASILIKI_scaled
Distance: 3.3851% / 0.03385069
84.2 Mediterranean
9.4 North_European
6.4 Caucasus

[Kenshiro]

Target: Kenshiro_Scaled
Distance: 2.3392% / 0.02339240
80.6 Mediterranean
18.4 Caucasus
0.8 Siberian
0.2 North_Amerindian&Arctic

[celticdragongod]

Distance to: CDG_scaled
0.04401259 North_European
0.10006590 Mediterranean
0.18866141 Caucasus
0.25655942 Southwest_Asian
0.26657976 South_Asian
0.59796238 Siberian
0.59821328 North_Amerindian&Arctic
0.61307725 East_Asian
0.76769168 West_African

Target: CDG_scaled
Distance: 3.5271% / 0.03527113
78.0 North_European
22.0 Mediterranean

[Fabricius]

Despite the bigger distance, I think my K13 and K15 based coordinates are more accurate, because probably, judging by the phenotype of my relatives, I have more Germanic elements via Portugal and Northern Italy.

And my Eurogenes GEDmatch result is more of a guide (I will share the results below for fun).
I think the last two results are more specific to a more recent inheritance (in my case).


Target: Fabricius_K13-G25
Distance: 2.2227% / 0.02222702
61.8 Mediterranean
30.6 North_European
7.6 West_African

Target: Fabricius_K15-G25
Distance: 2.2309% / 0.02230911
61.4 Mediterranean
30.8 North_European
7.8 West_African

Target: Fabricius_K36-G25
Distance: 2.2387% / 0.02238695
68.8 Mediterranean
23.6 North_European
7.6 West_African

Target: Fabricius_MyHeritage-to-g25(simulated)
Distance: 1.7243% / 0.01724281
67.0 Mediterranean
25.2 North_European
7.8 West_African


GEDmatch results:

Eurogenes K9
South Asian 0.99 Pct
Caucasus 7.94 Pct
Southwest Asian 7.32 Pct
North Amerindian + Arctic 1.15 Pct
Siberian -
Mediterranean 31.96 Pct
East Asian -
West African 8.33 Pct
North European 42.32 Pct

Eurogenes K9b
Southwest_Asian 6.88 Pct
Native_American 1.83 Pct
Northeast_Asian -
Mediterranean 26.13 Pct
North_European 55.03 Pct
Southeast_Asian 1.23 Pct
Oceanian -
South_African -
Sub-Saharan_African 8.86 Pct

[Fabricius]

...

Distance to: Fabricius_K13-G25
0.06933964 Mediterranean
0.10611605 North_European
0.16224008 Caucasus
0.19794619 Southwest_Asian
0.25809813 South_Asian
0.59649986 North_Amerindian&Arctic
0.59656626 Siberian
0.60557789 East_Asian
0.69531985 West_African

Distance to: Fabricius_K15-G25
0.07074479 Mediterranean
0.10674795 North_European
0.16290843 Caucasus
0.19841592 Southwest_Asian
0.25671231 South_Asian
0.59537288 Siberian
0.59632288 North_Amerindian&Arctic
0.60309772 East_Asian
0.69383379 West_African

Distance to: Fabricius_K36-G25
0.06632221 Mediterranean
0.11342653 North_European
0.15815821 Caucasus
0.19295798 Southwest_Asian
0.25485348 South_Asian
0.59449489 Siberian
0.59722608 North_Amerindian&Arctic
0.60190774 East_Asian
0.69380557 West_African

Distance to: Fabricius_MyHeritage-to-g25(simulated)
0.06572815 Mediterranean
0.11109858 North_European
0.15437272 Caucasus
0.19051720 Southwest_Asian
0.24866084 South_Asian
0.58928039 Siberian
0.59255320 North_Amerindian&Arctic
0.59670949 East_Asian
0.69358749 West_African

[cass]

Target: cass
Distance: 1.7733% / 0.01773301
89.0 North_European
9.2 Mediterranean
1.4 Caucasus
0.4 Southwest_Asian :cool:

[Ryujin]

Target: Scaled_G25_Ryujin

Distance: 2.1995% / 0.02199517

48.8 Mediterranean
27.2 Caucasus
9.6 North_European
5.8 South_Asian
2.2 Southwest_Asian
2.2 West_African
1.8 Siberian
1.2 East_Asian
1.2 North_Amerindian&Arctic

[Andullero]

Target: Andullero
Distance: 2.0466% / 0.02046598
52.2 Mediterranean
34.0 West_African
9.0 North_European
4.8 North_Amerindian&Arctic

[tk'es]

Target: tk'es_scaled
Distance: 0.0478% / 0.04784423
73.3 Caucasus
19.0 North_European
3.0 South_Asian
2.2 Siberian
1.7 North_Amerindian&Arctic
0.8 East_Asian

[Rhegion]

Target: Me
Distance: 2.5061% / 0.02506059
62.8 Mediterranean
19.4 Caucasus
17.8 Southwest_Asian

Target: Father
Distance: 2.2287% / 0.02228692
60.4 Mediterranean
21.6 Southwest_Asian
18.0 Caucasus

Target: Maternal_Grandpa
Distance: 2.6909% / 0.02690920
63.6 Mediterranean
23.8 Caucasus
12.4 Southwest_Asian
0.2 West_African

Target: Maternal_Grandma
Distance: 3.2546% / 0.03254572
59.2 Mediterranean
21.0 Caucasus
19.8 Southwest_Asian

Target: Cousin
Distance: 3.2564% / 0.03256415
57.0 Mediterranean
26.8 Caucasus
15.6 Southwest_Asian
0.6 West_African

[leachim_x]

Target: Lx_K36
Distance: 2.3534% / 0.02353383
67.6 North_European
32.4 Mediterranean

Distance to: Lx_K36
0.04539193 North_European
0.08449824 Mediterranean
0.17901592 Caucasus
0.24677995 Southwest_Asian
0.26732894 South_Asian
0.60129971 North_Amerindian&Arctic
0.60302850 Siberian
0.61445412 East_Asian
0.76710441 West_African

[Rædwald]

Target: Rædwald
Distance: 2.5383% / 0.02538284
68.4 North_European
29.8 Mediterranean
1.8 North_Amerindian&Arctic


Distance to: Rædwald
0.04442049 North_European
0.08933841 Mediterranean
0.18193991 Caucasus
0.24560930 Southwest_Asian
0.25671729 South_Asian
0.58278003 North_Amerindian&Arctic
0.58762561 Siberian
0.59905337 East_Asian
0.76169787 West_African