These are just "screenig" results and based on 2000 markers, so might be inaccurate.
According to Vadim and Polako. Well, we are waiting for the publication of the study.
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These are just "screenig" results and based on 2000 markers, so might be inaccurate.
According to Vadim and Polako. Well, we are waiting for the publication of the study.
Will there be Y/mt DNA from medieval Polish samples ? Many are curious for this.
And they still there are...Quote:
Originally Posted by mlukas
http://media.radio.lublin.pl/images/...0218586001.jpg
2000 markers tells you nothing, eurogene k36 takes about 165k markers to give you a thoroughly results.Quote:
Originally Posted by Litvin
When will study be publicated, I'm really interested if they will tell us more about E sample, what subclade it belong.
Yeah he's not just Germanic, he's uber-Germanic - 42.74 North Sea and 25 Central Euro, he's not playing around :P From my knowledge, no population today is close to them. Have you guys uncovered the other samples from that culture? Are they all alike?Quote:
Originally Posted by mlukas
Try to figure out from this:)Quote:
Originally Posted by Feiichy
Niemcza_18 snps Y-DNA
PF432-, PF435-, Z16963-, PF2911-, S26895-, Z5965-, S5674-, Z2947-, Z16329-, S14469-, YSC0000139-, YSC0000140-, S14590-, YSC0000147-, YSC0000148-, YSC0000149-, PF1619-, Z14873-, PF7426-, PF633-, CTS1548-, CTS1549-, CTS1660-, M4477-, CTS1677-, CTS1730-, CTS2305-, Z6239-, Z2047-, S15798-, S7821-, ZS276-, CTS2520-, Z1599-, Z6363-, M9112+, M10644-, S6813-, PF7025-, CTS3503-, S27776-, YSC0000697-, M11278-, S16785-, CTS3796-, S4893-, Z2081-, S6842-, M9808-, PF718-, PF3479-, CTS4072-, PR5521-, L1125+, M319-, M215-, Page40-, PF1942-, CTS4198-, S17221-, CTS4436-, FGC7967-, Y2989-, PR1963-, PR5640-, PR1964-, CTS4759-, CTS4816-, CTS4914-, Z28866-, CTS4991-, PF4251-, CTS5014-, M1368-, CTS5109-, CTS5110-, Z1890-, S17823-, YSC0000774-, PR5707-, PR5708-, PR5709-, S18007-, Z12458-, CTS5532+, M5694+, S18173-, M7490-, PR2128-, CTS5758-, CTS5759-, CTS5841-, M2046-, CTS6112-, CTS6202-, CTS6228-, CTS6280-, S18805-, CTS6401-, F2309-, PR5980-, PR2298-, M6203-, S19013-, S19028-, M3712+, PF2699+, S27357-, S2360-, S5877-, CTS7145-, PF7084-, CTS7190-, CTS7266-, S1533-, S19741-, Z6400-, A185-, Z3744-, M4522-, PF2445-, CTS7761-, S20288-, CTS8172-, FGC1849-, Y2139-, CTS8234-, S4415-, PR2697-, PR2698-, CTS8435-, YSC0000924-, CTS8653-, Z6002-, M4406-, F3978-, CTS8707-, CTS8909-, M6-, F691-, F2898-, M7157-, Z3407-, CTS9842-, M8456-, Z12931-, M4638-, M4639-, CTS10026-, M3575-, PF3037-, PF7288-, PR3097-, PR3098-, Z117-, PR3099-, PR6451-, M8460-, S22288-, M10166-, M7035-, F3125-, M7358-, YSC0000215-, YSC0000216-, S22673-, F3157-, YSC0001046-, S22929-, PF5046-, Z3639-, PF4051-, M6286-, M10566-, M6003-, PR6608-, K364-, PR6654-, M5786+, PF1061+, Z2852-, M14-, PR3457-, PR6770-, PR6771-, M282-, M112-, L290-, M7067-, M5320-, Z1200-, PF2189-, FGC11555-, S24360-, Z15050-, PF2084-, F3321-, M8170-, M3049-, PR3775-, L1403-, M7167-, CTS10852-, PF1219-, CTS11115-, M5554-, PF1879-, S5697-, CTS11652-, M8490-, M4415-, M11841+, M8518-, F3443-, Z12272-, Z563-, M6826-, PF2252-, F704-, PF7220-, S8269-, CTS12078-, CTS12638-, M4955-, M6837-, L1164-, S27766-, S27769+, Z900-, S3131-, S3136-, M8061-, CTS368-, S9511-, L656-, L831-, L950-, L337-, M5387-, PF1509-, L368-, Z5866-, M952-, CTS673-, CTS839-, CTS871-, M4726-, Z585-, Z6149-, CTS1130-, Z16017-, CTS1241-, S3562-, M11071-, M10615-, Z13889-, CTS1361-, CTS1373-, PF2106-, BY144-, FGC17829-, S27834-, Z4523-, Z1300-, S10681-, S10714-, S10715-, PF5708-, PR4798-, PR4799-, PR4800-, PR4801-, YSC0000478-, M7242-, Z5892-, M4547-, F113-, M6368-, F1150-, Z14017-, F1224-, PF7563-, Z13494-, F1389-, M10629-, M1811-, M9643-, M7260-, M6601-, Z11980+
Screening results bla bla bla:)
Why there are deviating strongly in Germanic direction?
Polish early medieval Niemcza_18
K36
East_Central_Euro 27.22
Fennoscandian 11.50
North_Sea 61.28
K13
# Population Percent
1 North_Atlantic 43.07
2 Baltic 37.2
3 West_Asian 12.73
4 West_Med 7
Single Population Sharing:
# Population (source) Distance
1 North_Swedish 9.25
2 Swedish 10.12
3 North_German 11.69
4 Norwegian 12.47
5 East_German 12.49
6 Southwest_Finnish 12.74
7 Danish 13.54
8 North_Dutch 13.73
9 Austrian 13.75
10 South_Polish 14.36
11 Polish 15.38
12 Hungarian 15.39
13 Orcadian 16.05
14 Irish 16.05
15 Ukrainian_Lviv 16.56
16 Finnish 16.78
17 Ukrainian 17
18 West_Scottish 17.13
19 West_German 17.37
20 Southeast_English 17.47
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 62% Norwegian + 38% Ukrainian_Belgorod @ 6.56
2 69.4% Swedish + 30.6% Ukrainian_Belgorod @ 6.67
3 87.5% North_Swedish + 12.5% Tabassaran @ 6.76
4 88.3% North_Swedish + 11.7% Lezgin @ 6.9
5 88.3% North_Swedish + 11.7% Chechen @ 6.94
6 61.6% Norwegian + 38.4% Russian_Smolensk @ 7.08
7 69.3% Norwegian + 30.7% Erzya @ 7.11
8 69.6% Swedish + 30.4% Russian_Smolensk @ 7.15
9 76.4% Swedish + 23.6% Erzya @ 7.15
10 65.7% Norwegian + 34.3% Lithuanian @ 7.19
MDLP K16 2xOracle and OracleX4
Admix Results (sorted):
# Population Percent
1 Steppe 46.19
2 NorthEastEuropean 25.08
3 Neolithic 20.57
4 Australian 6.41
5 NorthAfrican 1.75
Finished reading population data. 516 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Scottish @ 26.696640
2 Orcadian @ 27.003283
3 Icelandic @ 27.353228
4 Norwegian @ 28.094990
5 English @ 29.020193
6 Irish @ 29.402094
7 Irish @ 29.751617
8 English @ 29.842907
9 Finn @ 29.861221
10 Irish @ 29.924801
11 Irish @ 30.360128
12 Irish @ 30.384768
13 Scottish @ 30.563187
14 Shetlandic @ 30.585062
15 Finn @ 30.607479
16 Scottish @ 31.031134
17 English @ 31.037632
18 Swede @ 31.091612
19 Finn @ 31.255295
20 Irish @ 31.405285
Using 2 populations approximation:
1 50% Scottish +50% Scottish @ 26.696640
Using 3 populations approximation:
1 50% Orcadian +25% Orcadian +25% Tubalar @ 24.852737
UHU! Kowalewsko_22 - gedmatch: M070872
has modern (for NW-Euro) North Sea level, but highly elevatede North Atlantic...
https://s10.postimg.org/bce5r2wq1/goto.jpg
Amerindian -
Arabian -
Armenian -
Basque 1.34
Central_African -
Central_Euro -
East_African -
East_Asian -
East_Balkan -
East_Central_Asian -
East_Central_Euro -
East_Med -
Eastern_Euro 9.81
Fennoscandian 18.56
French 8.09
Iberian -
Indo-Chinese -
Italian -
Malayan -
Near_Eastern -
North_African -
North_Atlantic 39.88
North_Caucasian -
North_Sea 22.31
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian -
West_Med -
Admix4
Least-squares method.
Using 1 population approximation:
1 North_Dutch @ 27,655925
2 Norway @ 28,813228
3 Orcadian @ 29,614338
4 Welsh @ 29,645478
5 SW-England @ 29,867943
6 Denmark @ 29,890969
7 Sweden_north @ 30,074334
8 Scotland @ 30,099546
9 Ireland @ 30,230072
10 Sweden @ 30,349433
11 Central_Dutch @ 30,792834
12 NW-England @ 30,931512
13 Northern_Ireland @ 31,012275
14 British_mixed @ 31,218749
15 South_Dutch @ 31,879945
16 Norway_north @ 31,976506
17 NE-England @ 32,224747
18 German_North @ 32,531671
19 SE_England @ 33,587724
20 England_Cumberland @ 33,587724
336 iterations.
Using 2 populations approximation:
1 North_Dutch+North_Dutch @ 27,655925
2 North_Dutch+Norway @ 27,995378
3 North_Dutch+Sweden_north @ 28,032919
4 Sweden_north+SW-England @ 28,043059
5 North_Dutch+SW-England @ 28,160275
6 North_Dutch+Orcadian @ 28,244851
7 Norway_north+SW-England @ 28,247294
8 Sweden_north+Welsh @ 28,253404
9 North_Dutch+Norway_north @ 28,283082
10 Norway_north+Welsh @ 28,297895
11 North_Dutch+Welsh @ 28,304312
12 Ireland+Sweden_north @ 28,380195
13 Orcadian+Sweden_north @ 28,380271
14 Ireland+Norway_north @ 28,403916
15 North_Dutch+Ireland @ 28,406594
16 Orcadian+Norway_north @ 28,44374
17 Scotland+Sweden_north @ 28,520259
18 Norway+SW-England @ 28,564948
19 North_Dutch+Scotland @ 28,576284
20 Scotland+Norway_north @ 28,584733
56616 iterations.
Using 3 populations approximation:
1 50% North_Dutch +25% Norway_north +25% SW-England @ 27,506735
2 50% North_Dutch +25% North_Dutch +25% Norway_north @ 27,549161
3 50% North_Dutch +25% Sweden_north +25% SW-England @ 27,594495
4 50% North_Dutch +25% Norway_north +25% Welsh @ 27,62349
5 50% North_Dutch +25% Ireland +25% Norway_north @ 27,623993
6 50% North_Dutch +25% North_Dutch +25% Sweden_north @ 27,625062
7 50% North_Dutch +25% Orcadian +25% Norway_north @ 27,63468
8 50% North_Dutch +25% North_Dutch +25% SW-England @ 27,749917
9 50% North_Dutch +25% Sweden_north +25% Welsh @ 27,751361
10 50% North_Dutch +25% Ireland +25% Sweden_north @ 27,757126
11 50% North_Dutch +25% Orcadian +25% Sweden_north @ 27,757588
12 50% North_Dutch +25% North_Dutch +25% Norway @ 27,764175
13 50% North_Dutch +25% Scotland +25% Norway_north @ 27,775532
14 50% SW-England +25% North_Dutch +25% Norway_north @ 27,785251
15 50% North_Dutch +25% Northern_Ireland +25% Norway_north @ 27,842575
16 50% North_Dutch +25% North_Dutch +25% Orcadian @ 27,848185
17 50% North_Dutch +25% Norway +25% SW-England @ 27,876033
18 50% Sweden_north +25% North_Dutch +25% SW-England @ 27,879403
19 50% SW-England +25% North_Dutch +25% Sweden_north @ 27,883755
20 50% Welsh +25% North_Dutch +25% Norway_north @ 27,883997
18966360 iterations.
Using 4 populations approximation:
1 North_Dutch+North_Dutch+Norway_north+SW-England @ 27,506735
2 North_Dutch+North_Dutch+North_Dutch+Norway_north @ 27,549161
3 North_Dutch+North_Dutch+Sweden_north+SW-England @ 27,594495
4 North_Dutch+North_Dutch+Norway_north+Welsh @ 27,62349
5 North_Dutch+North_Dutch+Ireland+Norway_north @ 27,623993
6 North_Dutch+North_Dutch+North_Dutch+Sweden_north @ 27,625062
7 North_Dutch+North_Dutch+Orcadian+Norway_north @ 27,63468
8 North_Dutch+North_Dutch+North_Dutch+North_Dutch @ 27,655925
9 North_Dutch+North_Dutch+North_Dutch+SW-England @ 27,749917
10 North_Dutch+North_Dutch+Sweden_north+Welsh @ 27,751361
11 North_Dutch+North_Dutch+Ireland+Sweden_north @ 27,757126
12 North_Dutch+North_Dutch+Orcadian+Sweden_north @ 27,757588
13 North_Dutch+North_Dutch+North_Dutch+Norway @ 27,764175
14 North_Dutch+North_Dutch+Scotland+Norway_north @ 27,775532
15 North_Dutch+Norway_north+SW-England+SW-England @ 27,785251
16 North_Dutch+Norway_north+SW-England+Welsh @ 27,792914
17 North_Dutch+Orcadian+Norway_north+SW-England @ 27,822129
18 North_Dutch+North_Dutch+Northern_Ireland+Norway_no rth @ 27,842575
19 North_Dutch+Ireland+Norway_north+SW-England @ 27,846906
20 North_Dutch+North_Dutch+North_Dutch+Orcadian @ 27,848185
21 North_Dutch+North_Dutch+Norway+SW-England @ 27,876033
22 North_Dutch+Sweden_north+Sweden_north+SW-England @ 27,879403
23 North_Dutch+Norway+Norway_north+SW-England @ 27,879605
24 North_Dutch+Sweden_north+SW-England+SW-England @ 27,883755
25 North_Dutch+Norway_north+Welsh+Welsh @ 27,883997
26 North_Dutch+Orcadian+Norway_north+Welsh @ 27,888388
27 North_Dutch+North_Dutch+North_Dutch+Ireland @ 27,888843
28 North_Dutch+North_Dutch+North_Dutch+Welsh @ 27,889292
29 North_Dutch+North_Dutch+Scotland+Sweden_north @ 27,897483
30 North_Dutch+North_Dutch+Norway+Norway_north @ 27,903264
31 North_Dutch+Norway+Sweden_north+SW-England @ 27,918279
32 North_Dutch+Ireland+Norway_north+Welsh @ 27,922621
33 North_Dutch+Orcadian+Orcadian+Norway_north @ 27,928011
34 North_Dutch+Sweden_north+Norway_north+SW-England @ 27,929837
35 North_Dutch+North_Dutch+Norway+Sweden_north @ 27,930308
36 North_Dutch+Sweden_north+SW-England+Welsh @ 27,93161
37 North_Dutch+Ireland+Orcadian+Norway_north @ 27,94285
38 North_Dutch+Scotland+Norway_north+SW-England @ 27,950983
39 North_Dutch+Orcadian+Sweden_north+SW-England @ 27,955804
40 North_Dutch+North_Dutch+Northern_Ireland+Sweden_no rth @ 27,972196
540597876 iterations.
Gaussian method.
Noise dispersion set to 0,130062
Using 1 population approximation:
1 Orcadian @ 4,863416
2 SW-England @ 4,86513
3 Scotland @ 4,969022
4 NW-England @ 4,995873
5 North_Dutch @ 5,005213
6 British_mixed @ 5,027676
7 Welsh @ 5,030933
8 Sweden_north @ 5,118627
9 Denmark @ 5,174775
10 Norway @ 5,196041
11 Sweden @ 5,269963
12 Ireland @ 5,291797
13 Northern_Ireland @ 5,395219
14 Central_Dutch @ 5,422677
15 NE-England @ 5,444777
16 Norway_north @ 5,489736
17 SE_England @ 5,491249
18 England_Cumberland @ 5,491249
19 German_North @ 5,674797
20 South_Dutch @ 5,79018
336 iterations.
Using 2 populations approximation:
1 Sweden_north+SW-England @ 4,85129
2 Orcadian+Orcadian @ 4,863416
3 SW-England+SW-England @ 4,86513
4 Orcadian+Sweden_north @ 4,870419
5 Orcadian+SW-England @ 4,873796
6 North_Dutch+Orcadian @ 4,909283
7 Orcadian+Scotland @ 4,919077
8 Scotland+Sweden_north @ 4,920081
9 Orcadian+NW-England @ 4,922193
10 North_Dutch+SW-England @ 4,922883
11 Sweden_north+Welsh @ 4,923406
12 Scotland+SW-England @ 4,930287
13 NW-England+SW-England @ 4,937784
14 Orcadian+British_mixed @ 4,943086
15 Orcadian+Welsh @ 4,948505
16 Sweden_north+NW-England @ 4,948792
17 British_mixed+SW-England @ 4,957577
18 British_mixed+Sweden_north @ 4,957731
19 North_Dutch+Scotland @ 4,965123
20 Scotland+Scotland @ 4,969022
56616 iterations.
Using 3 populations approximation:
1 50% SW-England +25% Sweden_north +25% SW-England @ 4,808165
2 50% SW-England +25% Orcadian +25% Sweden_north @ 4,81638
3 50% Orcadian +25% Sweden_north +25% SW-England @ 4,821272
4 50% Orcadian +25% Orcadian +25% Sweden_north @ 4,8226
5 50% SW-England +25% Scotland +25% Sweden_north @ 4,842751
6 50% Orcadian +25% Scotland +25% Sweden_north @ 4,848789
7 50% Sweden_north +25% SW-England +25% SW-England @ 4,85129
8 50% SW-England +25% Sweden_north +25% NW-England @ 4,851621
9 50% Orcadian +25% Sweden_north +25% NW-England @ 4,856679
10 50% Orcadian +25% Sweden_north +25% Welsh @ 4,85675
11 50% SW-England +25% North_Dutch +25% Sweden_north @ 4,857031
12 50% SW-England +25% British_mixed +25% Sweden_north @ 4,857958
13 50% SW-England +25% Sweden_north +25% Welsh @ 4,858661
14 50% Sweden_north +25% Orcadian +25% SW-England @ 4,862326
15 50% Orcadian +25% British_mixed +25% Sweden_north @ 4,862857
16 50% Orcadian +25% North_Dutch +25% Sweden_north @ 4,863774
17 50% Orcadian +25% Sweden_north +25% Sweden_north @ 4,870419
18 50% Orcadian +25% Orcadian +25% SW-England @ 4,87123
19 50% Scotland +25% Sweden_north +25% SW-England @ 4,871641
nMonte
restricted
North_Dutch 73.7
Norway_north 17.1
SW-England 9.3
full
North_Dutch 62.05
Norway_north 16.50
SW-England 14.90
Sweden_north 2.30
Orcadian 1.55
Welsh 1.30
Saami_NO 0.75
Ireland 0.50
Finnish_East 0.10
Norway 0.05
[1] "1. CLOSEST SINGLE ITEM DISTANCES"
North_Dutch Norway Orcadian Welsh Denmark SW-England
27.65194 28.80966 29.55972 29.63288 29.88754 29.97192
Sweden_north Ireland
30.07082 30.24847
Lol is it broken or did you upload the wrong gedmatch number? The calculators I put it in gives out like 80 - 85% NE_European or similar which is kinda extreme.Quote:
Originally Posted by mlukas
MDLP World 22:
Kit M070872
Admix Results (sorted):
# Population Percent
1 North-East-European 73.49
2 North-European-Mesolithic 15.61
3 East-South-Asian 7.24
4 Indo-Iranian 1.84
5 Mesoamerican 1.82
Single Population Sharing:
# Population (source) Distance
1 Estonian (derived) 15.16
2 Vepsa (derived) 15.56
3 Russian_North (derived) 16.85
4 Latvian (derived) 17.2
5 Moldavian (derived) 17.71
PuntDNAL K13:
Admix Results (sorted):
# Population Percent
1 NE_Europe 82.23
2 SW_Europe 16.68
3 Siberia 1.1
Single Population Sharing:
# Population (source) Distance
1 Finnish 14.26
2 Latvian 14.54
3 Lithuanian 15.13
4 Estonian 16.64
5 Polish 20.09
It's ok. But K36 was chosen by Vadim Verenich who originally uploaded .bam files:)Quote:
Originally Posted by Pahli
He is creator of MDLP but in this case likes K36. So do I. Other calcs gives rather biased results. Like this one MDLP-22.
My new K36 nMonte results with Kow22 added:
BA_Sudovia_RISE598 22.40
BA_Hungary_BR2 21.00
IA_Hungary_IR1 19.35
MA_Slavic_RISE568 11.00
BA_Cuiavia_PLN17 10.50
MA_Slavic_Niem34 10.00
IA_Wielbark_Kow55 5.40
IA_Wielbark_Kow22 0.35
IA_Sarmatian_I0575 0.00
IA_Gladiator_3DRIF26 0.00
IA_British_6DRIF18 0.00
IA_British_6DRIF23 0.00
IA_Gladiator_6DRIF22 0.00
IA_CelticBriton_HI1 0.00
IA_CelticBriton_HI4 0.00
IA_Wielbark_Kow25 0.00
IA_Wielbark_Mas5 0.00
MA_AngloSaxon_HS3 0.00
HG_Ethiopia_Mota 0.00
HG_Australia_Abo 0.00
BB_Czechia_RISE566 0.00
BA_Silesia_RISE150 0.00
BA_Silesia_RISE154 0.00
BA_Czechia_RISE577 0.00
BA_Czechia_RISE586 0.00
BA_EastGermany_I0803 0.00
BA_EastGermany_I0099 0.00
BA_EastGermany_I0047 0.00
BA_EastGermany_I0116 0.00
BA_EastGermany_I0164 0.00
BA_Hungary_BR1 0.00
BA_Hungary_RISE373 0.00
BA_Hungary_RISE374 0.00
BA_Denmark_RISE276 0.00
BA_Armenia_RISE397 0.00
BA_Armenia_RISE412 0.00
IA_Scythian_I0247 0.00
IA_Sweden_RISE174 0.00
MA_Iran_I1955 0.00
[1] "1. CLOSEST SINGLE ITEM DISTANCES"
BA_Cuiavia_PLN17 BA_Hungary_BR1 IA_Wielbark_Kow55
16.19202 17.58834 21.94205
BA_Denmark_RISE276 BA_Hungary_BR2 BA_EastGermany_I0116
21.99232 23.60180 23.68750
IA_Sweden_RISE174 IA_Hungary_IR1
24.22627 25.08156
http://i.imgur.com/pEiX64D.png
Kowalewko_45 looks autosomally "Eastern" (similar to modern Western Ukrainians and Northern Poles):
http://www.anthrogenica.com/showthre...l=1#post253369
So we have autosomally Germano-Celtic and Balto-Slavo-Iranic results in the same cemetery / settlement.
One sample also looks like a 50/50 mix of those two groups.
==============
Some images from Kowalewko cemetery:
http://www.muzarp.poznan.pl/zewnetrz...kowalewko.html
Kowalewko_45 according to Verenich is: Sarmatian plausibly.
Sarmatian in Western Poland!
https://www.youtube.com/watch?v=tLcpwwSRx24Quote:
Originally Posted by mlukas
Sarmatism confirmed!
Mów mi Sarmato :laugh:Quote:
Originally Posted by Litvin
Sarmatians => Lęchites => Polanes???
Mar_7. At least first Slav without much doubts here.
I1~CTS5887/Z2792+
WestMed frequency probably biased. But it doesn't change results much.
K36
Amerindian -
Arabian -
Armenian -
Basque -
Central_African -
Central_Euro 3.00
East_African -
East_Asian -
East_Balkan -
East_Central_Asian -
East_Central_Euro 23.43
East_Med -
Eastern_Euro 31.46
Fennoscandian 0.06
French 18.70
Iberian -
Indo-Chinese -
Italian 14.66
Malayan -
Near_Eastern -
North_African -
North_Atlantic -
North_Caucasian -
North_Sea -
Northeast_African -
Oceanian -
Omotic -
Pygmy 0.27
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian -
West_Med 8.38
oracle-spreadsheet
First 20 Populations distance
1 Ukrainian_North_East 80,70
2 Ukrainian_Central 85,77
3 Ukrainian_Poltava 87,88
4 Slovak 89,92
5 Russian_Kursk 91,59
6 PL_South_Poland 96,22
7 PL_Upper_Silesia 96,22
8 Russian_Oryol 96,53
9 Russian_Center 97,34
10 Carpathian_Rusyns 97,39
11 Ukrainian_West 97,68
12 PL_average 98,66
13 Russian_Smolensk 99,14
14 Ukrainian_Chernigov 100,77
15 PL_Mazovia 101,02
nMonte
restricted
Ukrainian_North_East 87
IT_Sardinia 13
Russian_Kursk 0
Ukrainian_Central 0
Moksha 0
Russian_Pskov 0
full
Ukrainian_North_East 60.85
IT_Sardinia 13.95
Moksha 11.40
Russian_Kursk 6.20
Ukrainian_Central 4.90
Russian_Pskov 1.05
Ukrainian_Poltava 0.75
Bulgaria 0.25
Erzya 0.25
Serbian 0.15
Russian_Center 0.10
Russian_Smolensk 0.10
Slovak 0.05
[1] "1. CLOSEST SINGLE ITEM DISTANCES"
Ukrainian_North_East Ukrainian_Central Ukrainian_Poltava
28.40781 29.28682 29.64486
Slovak Russian_Kursk PL_South_Poland
29.98624 30.26425 31.01948
PL_Upper_Silesia Russian_Oryol
31.01975 31.07004
Admix4
Least-squares method.
Using 1 population approximation:
1 Ukrainian_North_East @ 28,459469
2 Ukrainian_Central @ 29,339293
3 Ukrainian_Poltava @ 29,697336
4 Slovak @ 30,038609
5 Russian_Kursk @ 30,319436
6 PL_South_Poland @ 31,071054
7 PL_Upper_Silesia @ 31,072267
8 Russian_Oryol @ 31,124764
9 Russian_Center @ 31,254703
10 Carpathian_Rusyns @ 31,257305
11 Ukrainian_West @ 31,309697
12 PL_average @ 31,462178
13 Russian_Smolensk @ 31,538691
14 Ukrainian_Chernigov @ 31,797107
15 PL_Mazovia @ 31,833941
16 Moksha @ 32,031611
17 Moldavian @ 32,036561
18 Belarusian_East @ 32,080014
19 Russian_Tambov @ 32,112993
20 Russian_Ryazan_Tula @ 32,343811
336 iterations.
Using 2 populations approximation:
1 Ukrainian_North_East+Ukrainian_North_East @ 28,459469
2 Ukrainian_Central+Ukrainian_North_East @ 28,841808
3 Slovak+Ukrainian_North_East @ 28,917943
4 Ukrainian_North_East+Ukrainian_Poltava @ 28,965726
5 Russian_Kursk+Ukrainian_North_East @ 29,250329
6 Serbian+Ukrainian_North_East @ 29,321054
7 Ukrainian_Central+Ukrainian_Central @ 29,339293
8 Moksha+Ukrainian_North_East @ 29,448796
9 Carpathian_Rusyns+Ukrainian_North_East @ 29,466548
10 Ukrainian_Central+Ukrainian_Poltava @ 29,486067
11 Croatian+Ukrainian_North_East @ 29,500402
12 Slovak+Ukrainian_Central @ 29,511642
13 PL_Upper_Silesia+Ukrainian_North_East @ 29,517055
14 PL_South_Poland+Ukrainian_North_East @ 29,524795
15 West_Serbian+Ukrainian_North_East @ 29,560489
16 Slovak+Russian_Kursk @ 29,626743
17 Ukrainian_West+Ukrainian_North_East @ 29,632265
18 Moldavian+Ukrainian_North_East @ 29,635172
19 Serbian+Russian_Pskov @ 29,656256
20 Romania_SE+Ukrainian_North_East @ 29,679025
56616 iterations.
Using 3 populations approximation:
1 50% Ukrainian_North_East +25% Bulgaria +25% Ukrainian_North_East @ 28,28299
2 50% Ukrainian_North_East +25% IT_Sardinia +25% Ukrainian_North_East @ 28,313821
3 50% Ukrainian_North_East +25% Serbian +25% Ukrainian_North_East @ 28,332145
4 50% Ukrainian_North_East +25% IT_Sardinia +25% Russian_Pskov @ 28,398127
5 50% Ukrainian_North_East +25% South_Romania +25% Ukrainian_North_East @ 28,398844
6 50% Ukrainian_North_East +25% Albania_Montenegro +25% Ukrainian_North_East @ 28,421643
7 50% Ukrainian_North_East +25% Montenegro +25% Ukrainian_North_East @ 28,42956
8 50% Ukrainian_North_East +25% IT_Sardinia +25% Russian_Kursk @ 28,465179
9 50% Ukrainian_North_East +25% Romania_SE +25% Ukrainian_North_East @ 28,475643
10 50% Ukrainian_North_East +25% Bosnian +25% Ukrainian_North_East @ 28,475938
11 50% Ukrainian_North_East +25% Macedonia_FYROM +25% Ukrainian_North_East @ 28,501689
12 50% Ukrainian_North_East +25% IT_Sardinia +25% Moksha @ 28,518899
13 50% Ukrainian_North_East +25% Gr_Eubea +25% Ukrainian_North_East @ 28,533272
14 50% Ukrainian_North_East +25% West_Serbian +25% Ukrainian_North_East @ 28,547913
15 50% Ukrainian_North_East +25% Bulgaria +25% Russian_Kursk @ 28,565801
16 50% Ukrainian_North_East +25% Swiss_Italian +25% Ukrainian_North_East @ 28,566788
17 50% Ukrainian_North_East +25% Bulgaria +25% Moksha @ 28,569706
18 50% Ukrainian_North_East +25% Serbian +25% Moksha @ 28,578856
19 50% Ukrainian_North_East +25% Kosovo +25% Ukrainian_North_East @ 28,59089
20 50% Ukrainian_North_East +25% Slovak +25% Ukrainian_North_East @ 28,602864
18966360 iterations.
Using 4 populations approximation:
1 Bulgaria+Ukrainian_North_East+Ukrainian_North_East +Ukrainian_North_East @ 28,28299
2 IT_Sardinia+Ukrainian_North_East+Ukrainian_North_E ast+Ukrainian_North_East @ 28,313821
3 Serbian+Ukrainian_North_East+Ukrainian_North_East+ Ukrainian_North_East @ 28,332145
4 IT_Sardinia+Russian_Pskov+Ukrainian_North_East+Ukr ainian_North_East @ 28,398127
5 South_Romania+Ukrainian_North_East+Ukrainian_North _East+Ukrainian_North_East @ 28,398844
6 Albania_Montenegro+Ukrainian_North_East+Ukrainian_ North_East+Ukrainian_North_East @ 28,421643
7 Montenegro+Ukrainian_North_East+Ukrainian_North_Ea st+Ukrainian_North_East @ 28,42956
8 Ukrainian_North_East+Ukrainian_North_East+Ukrainia n_North_East+Ukrainian_North_East @ 28,459469
9 IT_Sardinia+Russian_Kursk+Ukrainian_North_East+Ukr ainian_North_East @ 28,465179
10 Romania_SE+Ukrainian_North_East+Ukrainian_North_Ea st+Ukrainian_North_East @ 28,475643
11 Bosnian+Ukrainian_North_East+Ukrainian_North_East+ Ukrainian_North_East @ 28,475938
12 Macedonia_FYROM+Ukrainian_North_East+Ukrainian_Nor th_East+Ukrainian_North_East @ 28,501689
13 IT_Sardinia+Moksha+Ukrainian_North_East+Ukrainian_ North_East @ 28,518899
14 Gr_Eubea+Ukrainian_North_East+Ukrainian_North_East +Ukrainian_North_East @ 28,533272
15 West_Serbian+Ukrainian_North_East+Ukrainian_North_ East+Ukrainian_North_East @ 28,547913
16 Bulgaria+Russian_Kursk+Ukrainian_North_East+Ukrain ian_North_East @ 28,565801
17 Swiss_Italian+Ukrainian_North_East+Ukrainian_North _East+Ukrainian_North_East @ 28,566788
18 Bulgaria+Moksha+Ukrainian_North_East+Ukrainian_Nor th_East @ 28,569706
19 Serbian+Moksha+Ukrainian_North_East+Ukrainian_Nort h_East @ 28,578856
20 Kosovo+Ukrainian_North_East+Ukrainian_North_East+U krainian_North_East @ 28,59089
21 Slovak+Ukrainian_North_East+Ukrainian_North_East+U krainian_North_East @ 28,602864
22 Bulgaria+Ukrainian_Central+Ukrainian_North_East+Uk rainian_North_East @ 28,610697
23 Serbian+Russian_Kursk+Ukrainian_North_East+Ukraini an_North_East @ 28,623485
24 Croatian+Ukrainian_North_East+Ukrainian_North_East +Ukrainian_North_East @ 28,627597
25 IT_Sardinia+Russian_Kursk+Russian_Pskov+Ukrainian_ North_East @ 28,629755
26 Bulgaria+Russian_Pskov+Ukrainian_North_East+Ukrain ian_North_East @ 28,631981
27 Ukrainian_Central+Ukrainian_North_East+Ukrainian_N orth_East+Ukrainian_North_East @ 28,635925
28 Serbian+Ukrainian_Central+Ukrainian_North_East+Ukr ainian_North_East @ 28,641482
29 IT_Sardinia+Moksha+Russian_Pskov+Ukrainian_North_E ast @ 28,650999
30 IT_Sardinia+Latvian+Ukrainian_North_East+Ukrainian _North_East @ 28,655533
31 Albania_Montenegro+Moksha+Ukrainian_North_East+Ukr ainian_North_East @ 28,656925
32 IT_Tuscany+Ukrainian_North_East+Ukrainian_North_Ea st+Ukrainian_North_East @ 28,65738
33 Albania_Montenegro+Russian_Kursk+Ukrainian_North_E ast+Ukrainian_North_East @ 28,662756
34 Moksha+Montenegro+Ukrainian_North_East+Ukrainian_N orth_East @ 28,682945
35 Ukrainian_North_East+Ukrainian_North_East+Ukrainia n_North_East+Ukrainian_Poltava @ 28,683558
36 IT_Sardinia+Ukrainian_Central+Ukrainian_North_East +Ukrainian_North_East @ 28,686871
37 Albania_Montenegro+Russian_Pskov+Ukrainian_North_E ast+Ukrainian_North_East @ 28,687653
38 Bulgaria+Ukrainian_North_East+Ukrainian_North_East +Ukrainian_Poltava @ 28,688643
39 IT_Sardinia+Russian_Pskov+Russian_Pskov+Ukrainian_ North_East @ 28,694406
40 IT_Sardinia+Russian_Kursk+Russian_Kursk+Ukrainian_ North_East @ 28,694457
540597876 iterations.
Gaussian method.
Noise dispersion set to 0,130062
Using 1 population approximation:
1 Slovak @ 6,725254
2 Austria @ 6,858821
3 Czechs_Moravians @ 6,938283
4 Slovenian @ 7,019197
5 Ukrainian_West @ 7,085939
6 Croatian @ 7,155005
7 PL_Upper_Silesia @ 7,249587
8 Carpathian_Rusyns @ 7,262995
9 German_East @ 7,276328
10 Hungary @ 7,381625
11 West_Serbian @ 7,386223
12 Romania_NW @ 7,420296
13 Serbian @ 7,420402
14 Montenegro @ 7,531517
15 Bosnian @ 7,538772
16 PL_South_Poland @ 7,683759
17 Romania_SE @ 7,777678
18 PL_SE_Carpathia @ 7,883126
19 Macedonia_FYROM @ 7,895253
20 South_Romania @ 8,016415
336 iterations.
Using 2 populations approximation:
1 Swiss_Italian+Russian_Pskov @ 6,247863
2 France_Central+Russian_Pskov @ 6,314634
3 Swiss_Italian+Latvian @ 6,319281
4 France_Central+Latvian @ 6,370342
5 Swiss_Italian+Ukrainian_North_East @ 6,435817
6 Swiss_Italian+Russian_Kursk @ 6,466648
7 France_Central+Ukrainian_North_East @ 6,486163
8 Spain_Baleares+Russian_Pskov @ 6,494815
9 Austria_Tyrol+Russian_Pskov @ 6,498486
10 Swiss_Italian+PL_Mazovia @ 6,498604
11 France+Russian_Pskov @ 6,507121
12 Swiss_Italian+Russian_Smolensk @ 6,513487
13 France_South+Russian_Pskov @ 6,520684
14 France_Central+Russian_Kursk @ 6,559061
15 Swiss_Italian+Russian_Center @ 6,561592
16 Swiss_Italian+Lithuanian @ 6,564071
17 France_Central+Russian_Smolensk @ 6,565838
18 Austria_Tyrol+Latvian @ 6,583971
19 Spain_Valencia+Russian_Pskov @ 6,584093
20 Swiss_Italian+Russian_Ryazan_Tula @ 6,584781
56616 iterations.
Using 3 populations approximation:
1 50% Swiss_Italian +25% Russian_Pskov +25% Russian_Pskov @ 6,247863
2 50% Swiss_Italian +25% Latvian +25% Russian_Pskov @ 6,276589
3 50% Russian_Pskov +25% Swiss_Italian +25% Russian_Pskov @ 6,277087
4 50% Russian_Pskov +25% Swiss_Italian +25% PL_Upper_Silesia @ 6,284221
5 50% Russian_Pskov +25% Swiss_Italian +25% Austria @ 6,288985
6 50% Russian_Pskov +25% Swiss_Italian +25% Slovak @ 6,295705
7 50% Russian_Pskov +25% Swiss_Italian +25% Ukrainian_Poltava @ 6,30173
8 50% Russian_Pskov +25% Swiss_Italian +25% Ukrainian_North_East @ 6,302908
9 50% Russian_Pskov +25% Swiss_Italian +25% PL_Mazovia @ 6,307407
10 50% Russian_Pskov +25% IT_Sardinia +25% SE_England @ 6,310865
11 50% Russian_Pskov +25% IT_Sardinia +25% England_Cumberland @ 6,310865
12 50% France_Central +25% Russian_Pskov +25% Russian_Pskov @ 6,314634
13 50% Ukrainian_North_East +25% Swiss_Italian +25% Russian_Pskov @ 6,318722
14 50% Swiss_Italian +25% Latvian +25% Latvian @ 6,319281
15 50% Russian_Pskov +25% Swiss_Italian +25% France_Central @ 6,320374
16 50% PL_Upper_Silesia +25% Swiss_Italian +25% Russian_Pskov @ 6,328505
17 50% Russian_Pskov +25% Swiss_Italian +25% Ukrainian_West @ 6,328816
18 50% France_Central +25% Latvian +25% Russian_Pskov @ 6,336579
19 50% Russian_Pskov +25% Swiss_Italian +25% PL_average @ 6,337722
20 50% Russian_Pskov +25% Swis
:laugh:Quote:
Originally Posted by mlukas
My K36 nMonte after adding Mar7:
1) With Bronze Age samples:
BA_Cuiavia_PLN17 22.05
LBA_Sudovia_RISE598 16.50
BA_Hungary_BR2 12.45
MA_Slavic_Niem34 10.75
IA_Wielbark_Kow55 10.30
MA_Slavic_Mar7 10.00
IA_Hungary_IR1 8.15
MA_Slavic_RISE568 8.05
BA_Hungary_RISE374 1.40
IA_Wielbark_Mas5 0.35
IA_Sarmatian_I0575 0.00
IA_Gladiator_3DRIF26 0.00
IA_British_6DRIF18 0.00
IA_British_6DRIF23 0.00
IA_Gladiator_6DRIF22 0.00
IA_CelticBriton_HI1 0.00
IA_CelticBriton_HI4 0.00
IA_Wielbark_Kow25 0.00
IA_Wielbark_Kow22 0.00
IA_Wielbark_Kow45 0.00
MA_AngloSaxon_HS3 0.00
HG_Ethiopia_Mota 0.00
HG_Australia_Abo 0.00
BB_Czechia_RISE566 0.00
BA_Silesia_RISE150 0.00
BA_Silesia_RISE154 0.00
BA_Czechia_RISE577 0.00
BA_Czechia_RISE586 0.00
BA_EastGermany_I0803 0.00
BA_EastGermany_I0099 0.00
BA_EastGermany_I0047 0.00
BA_EastGermany_I0116 0.00
BA_EastGermany_I0164 0.00
BA_Hungary_BR1 0.00
BA_Hungary_RISE373 0.00
BA_Denmark_RISE276 0.00
BA_Armenia_RISE397 0.00
BA_Armenia_RISE412 0.00
IA_Scythian_I0247 0.00
IA_Sweden_RISE174 0.00
MA_Iran_I1955 0.00
2) Without Bronze Age samples:
LBA_Sudovia_RISE598 26.35
IA_Hungary_IR1 23.55
IA_Wielbark_Kow55 19.65
MA_Slavic_Niem34 14.95
MA_Slavic_Mar7 11.65
IA_Gladiator_6DRIF22 2.00
IA_Wielbark_Mas5 1.85
IA_Sarmatian_I0575 0.00
IA_Gladiator_3DRIF26 0.00
IA_British_6DRIF18 0.00
IA_British_6DRIF23 0.00
IA_CelticBriton_HI1 0.00
IA_CelticBriton_HI4 0.00
IA_Wielbark_Kow25 0.00
IA_Wielbark_Kow45 0.00
IA_Wielbark_Kow22 0.00
MA_AngloSaxon_HS3 0.00
HG_Ethiopia_Mota 0.00
HG_Australia_Abo 0.00
BA_Armenia_RISE397 0.00
BA_Armenia_RISE412 0.00
IA_Scythian_I0247 0.00
IA_Sweden_RISE174 0.00
MA_Iran_I1955 0.00
MA_Slavic_RISE568 0.00
Maybe I will add some Iberian samples.
Kij, lupa i kamieni kupa...
Everyone was burned, exept Normans, Moravians, Magyars and Shvabs...
Here is also presented the theory about
non-pagan Myeshko - very interesting... very.
https://www.youtube.com/watch?v=nPk2oGJvTUE&t=396s
RISE598 (Late Bronze Age Sudovia) is dated to 908-585 BC.
Here is the cultural situation in Eastern Europe at that time:
https://s14.postimg.org/i4ymfgafl/Ea...und_750_BC.png
https://s14.postimg.org/i4ymfgafl/Ea...und_750_BC.png
http://en.wahooart.com/Art.nsf/O/5ZK...Scythians+.JPGQuote:
Originally Posted by Litvin
Dem Slavs tho
I only saw ydnas. Two I1, one I2 and one G2a.Quote:
Originally Posted by Feiichy
mtDNA
Kowalewko_55 U5b2a1a
Kowalewko_49 U3
Kowalewko_23 U3a
Kowalewko_57 U4
Kowalewko_45 H1e1a
Kowalewko_28 H5a
Kowalewko_22 H1a
Kowalewko_26 K
Kowalewko_29 K
Kowalewko_51 T2b6
Maslomecz_5 H16
Niemcza_34 HV0a
Niemcza_13 J1c3e1 lub J1b1a1
Niemcza_18 L3
Niemcza_19 K2c
Niemcza_32 T2
Markowice_7 Haplogroup J1c
Quote:
Originally Posted by mlukas
Jaki jest sens w ogóle badać mt w tak późnej
epoce, jak i tak wiadomo, że było tam "wszystko"... :picard1:
Ok:) I'm not specialist. I only checked Eupedia...
K - particularly common in Northwest Europe
H16: found primarily in Germanic countries and Poland, but also in India / found in the Neolithic Rössen culutre in Germany
H5a: found in the Cucuteni-Trypillian culture
H1e: found throughout Europe, including among the Basques, and in Iran (Qashqai) / found in Neolithic Germany
H1a: found throughout Europe
HV0 - The highest percentages of haplogroup HV in Europe are observed in Calabria (10%), Sicily (5%), Tuscany (5%), Sardinia (4.5%), Bulgaria (4%), southern Belarus (4%), Croatia (3.5%), Ukraine (3.5%), Iceland (3.5%), Greece (3%), Cyprus (2.5%), and Romania (2.5%).
U5b2a: found in Epipaleolithic France and Neolithic Germany
U3 - rare in Europe, primarily a Near Eastern and Caucasian lineage
U4 - Generally speaking, U4 is more common in Baltic and Slavic countries and around the Caucasus than anywhere else.
T2- Haplogroup T2 peaks among the Udmurts (24%) and the Chechen-Ingush of Daghestan (12.5%). After that T2 is most frequently encountered in the Netherlands (12%), Sardinia (10%), Iceland (10%), Switzerland (9.5%), Hungary (8.5%) and Ukraine (8.5%), as well as among many ethnic groups around the Caucasus such as the Kumyks (10%), Azeri (9.5%) and Georgians (9%).
T2b - found at high frequencies throughout Europe (especially around the Alps) and at lower frequencies in North Asia, Central Asia and the Middle East
J1c3e : found in central and north-eastern Europe
J1b1a1 : found in western Europe
For me it's legit. Some Western, some Central-Eastern mostly, or pan-European. One Caucasus outlier.
Kow_55 is I1
possible mtdna U5b2a1a
Kow_22 - G-P303
possible mtdna H1a
Kow_57 - G-L30
possible mtdna U4
Mar_7 - I1, probably I-Y3603
possible mtdna J1c
Kow_45 - I2, I2: Z2631/PF3623+ Z2673/CTS12003/PF3846+,I-M436: L35/S150/PF3862+ S5818/FGC3530+I-L801: S12350/FGC3570+
possible mtdna H1e1a
To całe Kowalewko to jest ewidentnie
jakaś staroeuropejska enklawa... :coffee:
Any Y - DNA from Maslomecz?
who knows, partly for sureQuote:
Originally Posted by Sir Rethel of Retheley
Only file big enough for analysis reveals to be woman... (Mas_5)Quote:
Originally Posted by The Devil's Advocate
It was terrible joke of our ancestors:Quote:
Originally Posted by Sir Rethel of Retheley
"Let us complicate their archeological and genetic searching in future. Burn them all!"
Now it is at least known, where Martin took the idea about tygarian kings... from Piasts...Quote:
Originally Posted by mlukas
https://www.youtube.com/watch?v=Tegl16_LhW8
Proof that my mtDNA analysis using BAM Tool was good....
Here http://www.academia.edu/31963766/Han...%C3%B3w_1_.pdf
on page 70 Kowalewko_23 (PCA0028) has mtDNA U3a1a. In my analysis U3a... So it was only more detailed.
I really didn't know this sample was analyzed before!
So from Piontek I can add:
Markowice_1 (PCA0152) - U5a2b1c
Niemcza__28 (PCA0142) - T2b
Quote:
Originally Posted by mlukas
So Weilbark cluster with Scandos & Jordanes stories was true
Jordanes was indeed a legitimate historian and genetics proved it. The Wielbark culture has traditionally been attributed to the migration of Germanics from Scandinavia to mainland Europe as related in his account of their origin.Quote:
Originally Posted by Cniva
So fuck all the critics huh? Jordanes really new his stuff afterall. He was north-east Bulgarian but his dad was a Ostrogoth.Quote:
Originally Posted by Dick
^ Actually the only reason many people criticized him is because to march from Weilbark culture to ---> Chernyakhov culture you would be going straight through proto-Slavic homeland, but that's exactly what happened: a war-band of at least 10,000 Goths marched from Weilbark and settled in Moldova, completely bypassing the Slavs & giving them some loan words (hleb - hleifs - bread)
Well, all Slavs say hleb/chelb/leb for a loaf of bread except for Croats. They say kruh which basically means dough, not an actual loaf of bread.Quote:
Originally Posted by Cniva