Cernunnos/Bell Beaker's MyHeritage Results + Gedmatch + G25

[Damião de Góis]

Try this one by Rocinante: https://www.theapricity.com/forum/sh...bero-It%E1lico

I have put together everyone from the PT samples:



You can see a few also score higher WHG. A few have 12 and one has 13.
Taking into account this is a very small sample, then a larger sample would show more portuguese scoring higher WHG.

[Hamilcar]

You can try my model too if you want :

Iberia_N,0.1239407,0.1755737,0.0341921,-0.0626261,0.0768007,-0.0339317,-0.004439,-0.0011793,0.0618117,0.0996021,0.0021292,0.015586,-0.0343077,-0.0108723,-0.0189858,-0.0058929,0.0074029,0.001844,0.0048463,-0.0070036,0.002468,0.0035996,-0.008148,-0.0235909,9.3e-05
MAR_EN,-0.1735805,0.0919055,-0.0258325,-0.083657,0.0283125,-0.0596825,-0.079316,0.021461,0.1500185,0.0043735,0.0222475,-0.0264515,0.075148,-0.0461725,0.069353,-0.03381,0.0171455,-0.05549,-0.1487635,0.0340785,-0.038245,-0.118212,0.0826995,-0.009941,0.021615
Corded_Ware_DEU,0.1298723,0.1110989,0.0568699,0.0887606,0.0040622,0.0337179,0.001034,0.0025616,-0.0280402,-0.0395815,0.0003734,0.0023378,-0.0068234,-0.0095647,0.0240903,0.0072393,-0.0146682,0.0042188,-0.0020237,0.0046773,0.0029074,0.0013601,0.0060884,0.0183278,8.38e-05
SSA,-0.915,0.1375,0.08,0.01,-0.01,0.0175,0.2525,-0.1925,-0.0515,0.0515,0.0155,-0.205,-0.065,0.001,0.005,-0.01,-0.002,-0.0425,0.01,-0.0075,-0.002,-0.0065,0,0.0085,-0.0115
SSA,-1.0455,0.155,0.0945,0.011,-0.0235,0.0465,-0.05,0.0775,-0.1425,0.0475,0.005,0.0075,0.0155,0.0075,0.005,-0.004,0.0095,0.0125,0.045,-0.0205,0.0065,0.025,-0.0175,0.005,-0.0075
WHG,0.1246365,0.116278,0.184789,0.189279,0.1546445,0.0464355,0.0131605,0.0372675,0.0890705,0.017768,-0.0153455,-0.015811,0.0159065,-0.0030275,0.053338,0.0582065,0.00502,0.016343,-0.0093015,0.055589,0.0944585,0.0111905,-0.049607,-0.160866,0.0170045
Levant_PPNC,0.067156,0.168578,-0.023004,-0.150842,0.028621,-0.071954,-0.013866,-0.017999,0.077719,0.037905,0.006496,-0.013188,0.032705,-0.000275,-0.014929,0.008486,-0.000913,-0.007728,-0.013575,0.012381,-0.009982,0.01014,0.002958,0.003012,-0.001916
IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
GEO_CHG,0.091058,0.102568,-0.083344,-0.00323,-0.08617,0.020638,0.024911,-0.001846,-0.128236,-0.074717,-0.006333,0.023979,-0.054856,0.004404,0.026601,-0.03275,0.02386,-0.013429,-0.022249,0.034767,0.033815,-0.007048,0.006532,-0.025787,-0.002036

In this model the iberia_N already has some WHG


You can also try this one with modern proxies :

Levantine,0.0853674,0.1486734,-0.0573978,-0.0925072,-0.0096018,-0.0350286,-0.002209,-0.0081688,0.016321,0.008237,0.0091586,-0.0099212,0.0204854,0.0118632,-0.0055372,0.0021214,-0.011239,0.0010134,0.0021116,-0.003652,-0.0005242,0.003116,0.000567,-0.0029402,0.0046462
Arab,0.0542556,0.1360809,-0.0682589,-0.1211978,-0.0037272,-0.056305,-0.0130301,-0.0088204,0.0628798,-0.002045,0.0167981,-0.0325711,0.0657411,0.0058413,0.0080528,0.0270778,-0.0210643,0.0028717,-0.0019133,0.0248312,0.0137259,0.0160887,-0.0087369,0.0027848,-0.0052289
Berber,-0.048944,0.141159,0.001886,-0.080104,0.033237,-0.038487,-0.038542,0.002308,0.079355,0.039363,0.016726,-0.014237,0.018137,-0.015689,0.022937,-0.021347,-0.006519,-0.026098,-0.062472,0.016133,-0.029947,-0.06838,0.02921,-0.00723,0.010298
Iberian,0.1219803,0.1465747,0.0426775,0.002584,0.0449827,-0.0008367,-0.0008617,0.0043845,0.025395,0.034321,-0.0023003,0.0096163,-0.0147918,-0.0124548,0.0070348,0.000442,-0.0014342,0.00038,-0.0044413,-0.0016048,0.0037017,-0.0006183,-0.0028348,-0.0064467,0.0018163
Italian,0.1256322,0.1482672,0.0303111,-0.0061572,0.0342755,-0.0004532,0.0020416,0.0020047,0.0100346,0.0230415,-0.0022328,0.0054889,-0.0105363,-0.0038189,-0.0026974,0.000953,0.0034796,0.0019557,0.0028518,-0.0042286,-0.0009982,0.0028594,-0.0001309,0.001318,-0.0021479
Iranian,0.0885141,0.0956389,-0.0638664,-0.024092,-0.0460899,0.0007546,0.0044097,-0.0052124,-0.0285852,-0.0148255,0.0007832,-0.0010579,0.0047396,-0.00255,0.0045506,0.0118005,-0.0054146,0.0015202,0.0019668,-0.008938,-0.0004036,-0.0033604,0.0012905,-0.0044371,0.0040645
Georgian,0.108132,0.1332374,-0.0619988,-0.0459952,-0.0383456,-0.0089246,0.0113746,-0.0056768,-0.0639748,-0.0175312,-0.0004546,0.0130384,-0.0251532,0.0072388,0.001873,-0.0238662,0.0070668,-0.0044088,-0.0095026,0.0153074,0.0115046,0.0013602,2.46e-05,-0.0070852,-0.0017964
German,0.1302626,0.1373792,0.0579811,0.0387068,0.0400035,0.0156461,0.0040665,0.0057865,0.003526,0.00188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0.002005,7.18e-05,0.0083052,0.0002774
English,0.1318551,0.137043,0.0617883,0.044013,0.0392299,0.0167481,0.0049845,0.0057448,0.0052637,0.0056781,-0.0047691,0.0056161,-0.0125892,-0.0103507,0.0206153,0.0035521,-0.0103689,0.004094,0.003685,0.0029619,0.0059369,0.0034036,-0.0032693,0.0137938,3.16e-05
Yoruba,-0.6300625,0.0625011,0.022113,0.0167079,0.0005035,0.0124741,-0.044417,0.0477673,-0.0488813,0.0327694,0.0046205,0.0007904,0.0230561,0.0009509,0.0125232,-0.0096067,0.0070763,0.0004491,0.006022,-0.00299,0.0015542,0.0023156,-0.0017592,-0.0004711,-0.0004246
Dinka,-0.577083,0.0507765,-0.0003773,-0.0075098,-0.0053855,-0.0016735,-0.0176848,0.0204222,0.081145,-0.0969495,-0.02107,0.022742,-0.0383172,-0.0011698,0.0101452,-0.021347,0.0186125,-0.0094382,0.0241968,-0.0241678,0.002402,0.003308,0.001479,0.0009038,0.0096995

[Ethel]

Keep in mind that WHG may vary depending on the chosen source.
I'm not an expert in these things, most people here use the Rochedane WHG, I prefer to use LUX_Loschbour or ITA_Grotta_Continenza_Meso because they seem to be the "purest" ones, but I'm not sure.
Cernunnos scored 14% WHG using Rochedane. It decreased to ~12% when using Loschbour or Grotta Continenza.

Also I prefer to use a single source for WHG in order avoid overfitting.

[Cernunnos]

Try this one by Rocinante: https://www.theapricity.com/forum/sh...bero-It%E1lico

I have put together everyone from the PT samples:



You can see a few also score higher WHG. A few have 12 and one has 13.
Taking into account this is a very small sample, then a larger sample would show more portuguese scoring higher WHG.

Target: Cernunnos_scaled
Distance: 2.4612% / 0.02461246
51.8 Early_European_Farmer
28.8 Steppe_Pastoralist
14.2 Western_Hunter-Gatherer
5.2 Iberomaurusian

[Damião de Góis]

Target: Cernunnos_scaled
Distance: 2.4612% / 0.02461246
51.8 Early_European_Farmer
28.8 Steppe_Pastoralist
14.2 Western_Hunter-Gatherer
5.2 Iberomaurusian

Yeah, it's high in comparison. You would have the peak value in this sample.

[Cernunnos]

You can try my model too if you want :

Iberia_N,0.1239407,0.1755737,0.0341921,-0.0626261,0.0768007,-0.0339317,-0.004439,-0.0011793,0.0618117,0.0996021,0.0021292,0.015586,-0.0343077,-0.0108723,-0.0189858,-0.0058929,0.0074029,0.001844,0.0048463,-0.0070036,0.002468,0.0035996,-0.008148,-0.0235909,9.3e-05
MAR_EN,-0.1735805,0.0919055,-0.0258325,-0.083657,0.0283125,-0.0596825,-0.079316,0.021461,0.1500185,0.0043735,0.0222475,-0.0264515,0.075148,-0.0461725,0.069353,-0.03381,0.0171455,-0.05549,-0.1487635,0.0340785,-0.038245,-0.118212,0.0826995,-0.009941,0.021615
Corded_Ware_DEU,0.1298723,0.1110989,0.0568699,0.0887606,0.0040622,0.0337179,0.001034,0.0025616,-0.0280402,-0.0395815,0.0003734,0.0023378,-0.0068234,-0.0095647,0.0240903,0.0072393,-0.0146682,0.0042188,-0.0020237,0.0046773,0.0029074,0.0013601,0.0060884,0.0183278,8.38e-05
SSA,-0.915,0.1375,0.08,0.01,-0.01,0.0175,0.2525,-0.1925,-0.0515,0.0515,0.0155,-0.205,-0.065,0.001,0.005,-0.01,-0.002,-0.0425,0.01,-0.0075,-0.002,-0.0065,0,0.0085,-0.0115
SSA,-1.0455,0.155,0.0945,0.011,-0.0235,0.0465,-0.05,0.0775,-0.1425,0.0475,0.005,0.0075,0.0155,0.0075,0.005,-0.004,0.0095,0.0125,0.045,-0.0205,0.0065,0.025,-0.0175,0.005,-0.0075
WHG,0.1246365,0.116278,0.184789,0.189279,0.1546445,0.0464355,0.0131605,0.0372675,0.0890705,0.017768,-0.0153455,-0.015811,0.0159065,-0.0030275,0.053338,0.0582065,0.00502,0.016343,-0.0093015,0.055589,0.0944585,0.0111905,-0.049607,-0.160866,0.0170045
Levant_PPNC,0.067156,0.168578,-0.023004,-0.150842,0.028621,-0.071954,-0.013866,-0.017999,0.077719,0.037905,0.006496,-0.013188,0.032705,-0.000275,-0.014929,0.008486,-0.000913,-0.007728,-0.013575,0.012381,-0.009982,0.01014,0.002958,0.003012,-0.001916
IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
GEO_CHG,0.091058,0.102568,-0.083344,-0.00323,-0.08617,0.020638,0.024911,-0.001846,-0.128236,-0.074717,-0.006333,0.023979,-0.054856,0.004404,0.026601,-0.03275,0.02386,-0.013429,-0.022249,0.034767,0.033815,-0.007048,0.006532,-0.025787,-0.002036

In this model the iberia_N already has some WHG


You can also try this one with modern proxies :

Levantine,0.0853674,0.1486734,-0.0573978,-0.0925072,-0.0096018,-0.0350286,-0.002209,-0.0081688,0.016321,0.008237,0.0091586,-0.0099212,0.0204854,0.0118632,-0.0055372,0.0021214,-0.011239,0.0010134,0.0021116,-0.003652,-0.0005242,0.003116,0.000567,-0.0029402,0.0046462
Arab,0.0542556,0.1360809,-0.0682589,-0.1211978,-0.0037272,-0.056305,-0.0130301,-0.0088204,0.0628798,-0.002045,0.0167981,-0.0325711,0.0657411,0.0058413,0.0080528,0.0270778,-0.0210643,0.0028717,-0.0019133,0.0248312,0.0137259,0.0160887,-0.0087369,0.0027848,-0.0052289
Berber,-0.048944,0.141159,0.001886,-0.080104,0.033237,-0.038487,-0.038542,0.002308,0.079355,0.039363,0.016726,-0.014237,0.018137,-0.015689,0.022937,-0.021347,-0.006519,-0.026098,-0.062472,0.016133,-0.029947,-0.06838,0.02921,-0.00723,0.010298
Iberian,0.1219803,0.1465747,0.0426775,0.002584,0.0449827,-0.0008367,-0.0008617,0.0043845,0.025395,0.034321,-0.0023003,0.0096163,-0.0147918,-0.0124548,0.0070348,0.000442,-0.0014342,0.00038,-0.0044413,-0.0016048,0.0037017,-0.0006183,-0.0028348,-0.0064467,0.0018163
Italian,0.1256322,0.1482672,0.0303111,-0.0061572,0.0342755,-0.0004532,0.0020416,0.0020047,0.0100346,0.0230415,-0.0022328,0.0054889,-0.0105363,-0.0038189,-0.0026974,0.000953,0.0034796,0.0019557,0.0028518,-0.0042286,-0.0009982,0.0028594,-0.0001309,0.001318,-0.0021479
Iranian,0.0885141,0.0956389,-0.0638664,-0.024092,-0.0460899,0.0007546,0.0044097,-0.0052124,-0.0285852,-0.0148255,0.0007832,-0.0010579,0.0047396,-0.00255,0.0045506,0.0118005,-0.0054146,0.0015202,0.0019668,-0.008938,-0.0004036,-0.0033604,0.0012905,-0.0044371,0.0040645
Georgian,0.108132,0.1332374,-0.0619988,-0.0459952,-0.0383456,-0.0089246,0.0113746,-0.0056768,-0.0639748,-0.0175312,-0.0004546,0.0130384,-0.0251532,0.0072388,0.001873,-0.0238662,0.0070668,-0.0044088,-0.0095026,0.0153074,0.0115046,0.0013602,2.46e-05,-0.0070852,-0.0017964
German,0.1302626,0.1373792,0.0579811,0.0387068,0.0400035,0.0156461,0.0040665,0.0057865,0.003526,0.00188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0.002005,7.18e-05,0.0083052,0.0002774
English,0.1318551,0.137043,0.0617883,0.044013,0.0392299,0.0167481,0.0049845,0.0057448,0.0052637,0.0056781,-0.0047691,0.0056161,-0.0125892,-0.0103507,0.0206153,0.0035521,-0.0103689,0.004094,0.003685,0.0029619,0.0059369,0.0034036,-0.0032693,0.0137938,3.16e-05
Yoruba,-0.6300625,0.0625011,0.022113,0.0167079,0.0005035,0.0124741,-0.044417,0.0477673,-0.0488813,0.0327694,0.0046205,0.0007904,0.0230561,0.0009509,0.0125232,-0.0096067,0.0070763,0.0004491,0.006022,-0.00299,0.0015542,0.0023156,-0.0017592,-0.0004711,-0.0004246
Dinka,-0.577083,0.0507765,-0.0003773,-0.0075098,-0.0053855,-0.0016735,-0.0176848,0.0204222,0.081145,-0.0969495,-0.02107,0.022742,-0.0383172,-0.0011698,0.0101452,-0.021347,0.0186125,-0.0094382,0.0241968,-0.0241678,0.002402,0.003308,0.001479,0.0009038,0.0096995

Target: Cernunnos_scaled
Distance: 1.5415% / 0.01541486
80.0 Iberian
11.2 English
7.6 Berber
1.2 German

Target: Cernunnos_scaled
Distance: 1.9020% / 0.01902014
46.6 Iberia_N
42.2 Corded_Ware_DEU
5.4 MAR_EN
3.0 Levant_PPNC
2.8 WHG

[Leto]

Your updated Dodecad oracle

Distance to: Rodrigo
3.16009494 Spanish_Andalusia
3.16370037 Spanish_Galicia
3.56255526 Spanish_Valencia
3.73729849 Spanish_Castilla-Leon
3.98405572 Spanish_Catalonia
4.36397754 Spanish_Aragon
4.49409613 Spanish_Cantabria
4.93516970 Spanish_Asturias
6.11117828 Spanish_La_Rioja
6.20250756 Spanish_Baleares

Target: Rodrigo
Distance: 2.6307% / 2.63067626 | ADC: 0.5x
50.4 Spanish_Galicia
41.0 Spanish_Andalusia
4.2 Spanish_Catalonia
3.8 Spanish_La_Rioja
0.6 Saudis

Target: Rodrigo
Distance: 1.6594% / 1.65940299 | ADC: 0.25x
59.4 Spanish_Galicia
35.6 Spanish_La_Rioja
2.6 Saudis
2.0 French2
0.4 ASW30

You basically came up as more Northern than the PT average (which I made using TA members from Portugal as well as Ruderico and his girlfriend).

[Leto]

For my k13, I'm closer to Catalunia than to Western Spain & portugal

Let me post your oracle here instead of your own thread

Distance to: Luis
2.32021551 Portuguese
3.55388520 Spanish_Castilla-Leon
4.13377551 Spanish_Galicia
4.44045043 Spanish_Baleares
4.57026257 Spanish_Valencia
5.26779840 Spanish_Canarias
5.47909664 Spanish_Andalusia
5.69252141 Spanish_Catalonia
6.96278680 Spanish_Aragon
7.35097919 Italy_Aosta_Valley

Target: Luis
Distance: 1.4256% / 1.42560873 | ADC: 0.5x
69.8 Portuguese
17.2 Spanish_Baleares
12.6 Spanish_Galicia
0.4 Jatt

Target: Luis
Distance: 1.0277% / 1.02767436 | ADC: 0.25x
57.6 Portuguese
23.2 Spanish_Galicia
8.2 Spanish_Baleares
8.2 Spanish_Castilla-Leon
1.2 Nuristani
0.8 Dargin
0.8 Mixed_NW_Euro

You appear to be much closer to the custom average than Cernunnos.

[Cernunnos]

Also uploaded 2 or 3 weeks ago myheritage data on Family Tree Dna for 9$ and got these results.





That Basque always pooping up is very interesting...

[zueira]

60,5% Iberian

28,3% Northern and Western European

6% Italian

3,6% North African

1,6% Nigerian

K13

# Population Percent
1 North_Atlantic 40.81
2 West_Med 27.88
3 East_Med 12.21
4 Baltic 11.73
5 Red_Sea 3.16
6 Northeast_African 2.1
7 South_Asian 1.68
8 East_Asian 0.38
9 Sub-Saharan 0.06

Single Population Sharing:

# Population (source) Distance
1 Spanish_Castilla_Y_Leon 2.97
2 Spanish_Castilla_La_Mancha 3.51
3 Spanish_Cantabria 3.56
4 Spanish_Galicia 3.68
5 Spanish_Valencia 4.14
6 Spanish_Cataluna 4.34
7 Spanish_Murcia 4.38
8 Portuguese 4.44
9 Spanish_Extremadura 4.92
10 Spanish_Aragon 5.11
11 Southwest_French 5.41
12 Spanish_Andalucia 5.54
13 French 10.59
14 North_Italian 12.13
15 French_Basque 15.99
16 South_Dutch 16.42
17 West_German 16.98
18 Tuscan 18.24
19 Southeast_English 19.98
20 Southwest_English 20.12

Dodecad k12b

Admix Results (sorted):

# Population Percent
1 Atlantic_Med 46.28
2 North_European 26.11
3 Caucasus 10.53
4 Southwest_Asian 6.56
5 Gedrosia 4.41
6 Northwest_African 3.6
7 Sub_Saharan 1.13
8 South_Asian 1
9 East_African 0.39

Single Population Sharing:

# Population (source) Distance
1 Galicia (1000Genomes) 3.85
2 Portuguese (Dodecad) 5.75
3 Extremadura (1000Genomes) 5.75
4 Baleares (1000Genomes) 6.12
5 Castilla_Y_Leon (1000Genomes) 6.91
6 Cataluna (1000Genomes) 7.11
7 Spanish (Dodecad) 7.63
8 Murcia (1000Genomes) 7.79
9 Spaniards (Behar) 7.87
10 Cantabria (1000Genomes) 9.24
11 Castilla_La_Mancha (1000Genomes) 9.54
12 Valencia (1000Genomes) 10.45
13 Andalucia (1000Genomes) 10.64
14 Aragon (1000Genomes) 10.93
15 French (HGDP) 11.64
16 Canarias (1000Genomes) 11.65
17 French (Dodecad) 11.93
18 North_Italian (HGDP) 12.23
19 N_Italian (Dodecad) 12.51
20 TSI30 (Metspalu) 18.86


K15

Admix Results (sorted):

# Population Percent
1 Atlantic 28.63
2 North_Sea 23.48
3 West_Med 22.93
4 East_Med 8.65
5 Baltic 6.22
6 Red_Sea 4.1
7 Eastern_Euro 2.37
8 Northeast_African 2.12
9 South_Asian 1.13
10 Southeast_Asian 0.21
11 Sub-Saharan 0.15

Single Population Sharing:

# Population (source) Distance
1 Portuguese 4.13
2 Spanish_Galicia 4.37
3 Spanish_Castilla_Y_Leon 4.42
4 Spanish_Cataluna 5
5 Spanish_Extremadura 5.14
6 Spanish_Murcia 5.5
7 Spanish_Cantabria 5.65
8 Spanish_Castilla_La_Mancha 7.17
9 Spanish_Valencia 7.59
10 Spanish_Aragon 7.77
11 Southwest_French 8.15
12 Spanish_Andalucia 8.43
13 French 10.26
14 North_Italian 11.38
15 South_Dutch 15.05
16 French_Basque 16.82
17 West_German 17.31
18 Southwest_English 17.42
19 Tuscan 17.48
20 Southeast_English 18.96


Population
Amerindian -
Arabian 0.97 Pct
Armenian -
Basque 8.38 Pct
Central_African 0.46 Pct
Central_Euro 4.93 Pct
East_African -
East_Asian -
East_Balkan 5.05 Pct
East_Central_Asian -
East_Central_Euro 2.91 Pct
East_Med 1.03 Pct
Eastern_Euro 0.31 Pct
Fennoscandian 2.41 Pct
French 8.26 Pct
Iberian 26.91 Pct
Indo-Chinese -
Italian 17.18 Pct
Malayan -
Near_Eastern -
North_African 2.31 Pct
North_Atlantic 7.01 Pct
North_Caucasian -
North_Sea 3.61 Pct
Northeast_African 0.97 Pct
Oceanian 0.12 Pct
Omotic 0.41 Pct
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian -
West_Med 6.73 Pct

Target: Cernunnos_scaled
Distance: 3.4199% / 0.03419929
52.4 Anatolia_Barcin_N
28.2 Yamnaya_RUS_Samara
14.0 WHG
5.4 MAR_Taforalt




Seems like I have alot of WHG for a Portuguese, hence why I'm Basque shifted.





Target: Cernunnos
Distance: 1.2844% / 0.01284448
33.8 Basque_Spanish
31.2 German_Northwest
16.8 Sardinian
12.8 Berber_Tunisia_Chen
4.0 Lithuanian_SZ
0.8 Bhumij
0.4 Yemenite_Mahra
0.2 Kosipe

Target: Cernunnos
Distance: 1.8970% / 0.01896960
80.2 Portuguese
19.8 Basque_Spanish

Target: Cernunnos
Distance: 2.2292% / 0.02229154
39.8 Iberia_BA
22.8 Hallstatt_Celt
14.8 Norse_BA
12.6 ITA_Rome_Imperial
10.0 North_African



Target: Cernunnos
Distance: 2.4196% / 0.02419572
68.4 Iberia_North_IA
12.8 ITA_Rome_Imperial
10.2 North_African
8.6 SWE_IA

Target: Cernunnos
Distance: 1.0105% / 0.01010479
66.2 Iberia_IA
13.6 North_African
10.4 Germanic_IA
9.8 Rome_Imperial

italian are roman/latin blood?