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Received: 10/0 Given: 10/1 |
High coverage Irish western hunter gatherer Sramore 62 from recent featured study focusing on Newgrange
Gedmatch kit number UZ9741157
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Received: 62/0 Given: 171/1 |
I have a question - which one of these kits is true for the sample DA29_European_in_Kazakhstan_1300_AD_700_?:
1. LP4438020
2. Kit Number: Z933098Eurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013
Kit LP4438020
Admix Results (sorted):
# Population Percent
1 Baltic 53.03
2 North_Atlantic 23.36
3 West_Med 9.48
4 West_Asian 4.37
5 East_Med 3.84
6 Red_Sea 2.31
7 Amerindian 0.94
8 South_Asian 0.93
9 East_Asian 0.74
10 Northeast_African 0.48
11 Siberian 0.3
12 Oceanian 0.22
Name: DA29
https://www.theapricity.com/forum/sh...=1#post5136809
3. Or this: https://anthrogenica.com/showthread....l=1#post546650Eurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013
Kit Z933098
Admix Results (sorted):
# Population Percent
1 Baltic 53.91
2 North_Atlantic 31.52
3 West_Med 12.3
4 West_Asian 1.61
5 Red_Sea 0.52
6 East_Med 0.14
Single Population Sharing:
# Population (source) Distance
1 Lithuanian 5.95
2 Estonian 7.27
3 Estonian_Polish 7.75
4 Belorussian 7.88
5 Russian_Smolensk 8.31
6 Polish 9.07
7 Southwest_Russian 11.24
8 Finnish 11.6
9 Ukrainian 11.7
10 Ukrainian_Belgorod 11.74
11 Kargopol_Russian 12.03
12 East_Finnish 12.12
13 South_Polish 12.64
14 Southwest_Finnish 13.21
15 Ukrainian_Lviv 13.24
16 Erzya 14.48
17 Croatian 19.03
18 La_Brana-1 19.66
19 North_Swedish 20.16
20 East_German 21.11
Admix Results (sorted):
# Population Percent
1 Baltic 55.9
2 North_Atlantic 27.04
3 West_Med 10.14
4 West_Asian 3.23
5 East_Med 2.9
6 Red_Sea 0.54
7 Amerindian 0.25
Single Population Sharing:
# Population (source) Distance
1 Lithuanian 4.2
2 Estonian_Polish 6.71
3 Belorussian 7.03
4 Russian_Smolensk 7.42
5 Estonian 8.84
6 Southwest_Russian 9.34
7 Ukrainian_Belgorod 9.72
8 Polish 10
9 Kargopol_Russian 10.69
10 Erzya 11.55
11 Ukrainian 11.78
12 East_Finnish 12.5
13 Finnish 13.02
14 Ukrainian_Lviv 13.37
15 South_Polish 13.41
16 Southwest_Finnish 16.08
17 Croatian 19.31
18 La_Brana-1 21.15
19 Moldavian 22.22
20 Hungarian 23.24
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Hi there, thank you for all these samples. I'm trying to reply to a particular comment but I'm not used to forums and I'm new to this one. I made this account to contact you in particular but I don't see a private message option so I have to spam here instead, sorry everyone
I have a LOT of segments in common with:
Kit Number: M959325
Name: *PunnW_X
So I was just wondering...who is this?! I'd love to know where this sample is from and the name of the sample because googling "PunnW_X" is getting me nowhere
Thank you![]()
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Received: 15,693/315 Given: 8,913/358 |
Hi,
I can't say exactly what it is but it looks basically identical to modern Iberians (Spanish/Portuguese) judging by the calculator results
Admix Results (sorted):
# Population Percent
1 North_Atlantic 41.87
2 West_Med 24.45
3 East_Med 13.86
4 Baltic 11.21
5 Red_Sea 4.58
6 Sub-Saharan 2.2
7 Northeast_African 1.4
8 East_Asian 0.28
9 West_Asian 0.14
Single Population Sharing:
# Population (source) Distance
1 Spanish_Castilla_Y_Leon 3.24
2 Portuguese 4.11
3 Spanish_Murcia 4.16
4 Spanish_Galicia 4.51
5 Spanish_Cataluna 4.68
6 Spanish_Extremadura 5.12
7 Spanish_Valencia 5.34
8 Spanish_Castilla_La_Mancha 5.56
9 Spanish_Cantabria 6.26
10 Spanish_Aragon 6.98
11 Spanish_Andalucia 7.16
12 Southwest_French 8.46
13 French 9.45
14 North_Italian 12.21
15 South_Dutch 15.37
16 West_German 15.83
17 Tuscan 17.66
18 French_Basque 17.97
19 Southeast_English 18.9
20 Southwest_English 19.2
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 98.8% Spanish_Castilla_Y_Leon + 1.2% Yoruban @ 2.91
2 98.7% Spanish_Castilla_Y_Leon + 1.3% Mandenka @ 2.93
3 98.8% Spanish_Castilla_Y_Leon + 1.2% Bantu_S.W. @ 2.97
4 98.8% Spanish_Castilla_Y_Leon + 1.2% Bantu_S.E. @ 2.98
5 98.8% Spanish_Castilla_Y_Leon + 1.2% Biaka_Pygmy @ 3.01
6 98.8% Spanish_Castilla_Y_Leon + 1.2% Luhya @ 3.04
7 98.8% Spanish_Castilla_Y_Leon + 1.2% Bantu_N.E. @ 3.05
8 99% Spanish_Castilla_Y_Leon + 1% Mbuti_Pygmy @ 3.09
9 99.1% Spanish_Castilla_Y_Leon + 0.9% San @ 3.14
10 96.6% Spanish_Castilla_Y_Leon + 3.4% Southeast_English @ 3.18
11 98.9% Spanish_Castilla_Y_Leon + 1.1% Yemenite_Jewish @ 3.18
12 97.3% Spanish_Castilla_Y_Leon + 2.7% Danish @ 3.18
13 97.2% Spanish_Castilla_Y_Leon + 2.8% West_Scottish @ 3.18
14 97.3% Spanish_Castilla_Y_Leon + 2.7% North_Dutch @ 3.18
15 97.7% Spanish_Castilla_Y_Leon + 2.3% Norwegian @ 3.19
16 97.3% Spanish_Castilla_Y_Leon + 2.7% Orcadian @ 3.19
17 99% Spanish_Castilla_Y_Leon + 1% Saudi @ 3.19
18 97.9% Spanish_Castilla_Y_Leon + 2.1% Swedish @ 3.19
19 97.2% Spanish_Castilla_Y_Leon + 2.8% Southwest_English @ 3.19
20 98.2% Spanish_Castilla_Y_Leon + 1.8% North_Swedish @ 3.2
I would assume it's some medieval sample.
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Received: 0/0 Given: 0/0 |
Spanish! The mystery deepens
I worked my way through the lists and have the biggest matches with the mystery kits with no identifiers lmao Crimean Nogay (CF1951785), Chechen Republic (FA2011994), a Uyghur (T635433), and a Turkmen (JX5977924). For a woman from England, I'm pretty intrigued. I had bigger and a greater amount of matches to these than ones I would have expected, like German Bell Beakers and stuff!
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Received: 16,889/187 Given: 7,955/116 |
Comparing yourself with ancient samples isn't going to produce any meaningful matches on the level of close relatives, it's impossible.
These tools are a better way to measure your genetic similarity to ancient samples:
Using Eurogenes K36 results
https://gen3553.pagesperso-orange.fr/ADN/ancient.htm
Using Eurogenes K13 results
http://vahaduo.genetics.ovh/Eurogene...nt-vahaduo.htm
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Don't worry, I'm not expecting that.
Those tools are cool but I prefer human stories to cold numbers, so I was just hoping someone might know the IDs for the samples so I can find out things like time period and culture.
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Received: 62/0 Given: 171/1 |
I am interested in these two samples:
Were they uploaded into Gedmatch or were they calculated in K13?CZE_EE:I7193,0.12862,0.151314,0.09428,0.02907,0.100634,0.00529 9,0.003995,0.008307,0.061971,0.053213,-0.005034,0.007643,-0.000743,0.001376,0.00665,-0.001591,-0.01004,0.006968,-0.003771,0.01088,0.037434,0.007419,-0.01972,-0.064708,0.00491
CZE_EE:I14168,0.133173,0.173656,0.072784,-0.023256,0.099403,-0.020917,0.00094,-0.000692,0.067902,0.087838,-0.004222,0.016485,-0.040436,-0.013349,0.002443,-0.00053,-0.001173,0.005701,-0.000251,-0.002376,0.022835,0.007914,-0.016638,-0.046031,0.008981
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Received: 7,319/30 Given: 2,681/16 |
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