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Tomenable
02-09-19, 15:44
Sorb_Niederlausitz (from Brandenburg), 100 closest population averages using scaled data:


[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Polish
0.1881539
Ukrainian
0.2264011
Slovakian
0.2522317
HUN_Avar_Szolad
0.2631802
Russian_Voronez
0.3014856
Belarusian
0.3042430
Russian_Orel
0.3058584
RUS_Sunghir_MA
0.3093027
Czech
0.3188788
Russian_Smolensk
0.3235730
Russian_Kursk
0.3380001
Cossack_Ukrainian
0.3435758
German_East
0.3745789
CZE_Early_Slav
0.3749709
Slovenian
0.4034556
Hungarian
0.4069312
Bell_Beaker_CZE_o
0.4095100
KAZ_Golden_Horde_Euro
0.4114785
Russian_Tver
0.4149023
Croatian
0.4161830
UKR_Chernyakhiv_Legedzine
0.4301018
Lithuanian
0.4484063
Estonian
0.4722740
SWE_Viking_Age_Sigtuna
0.4725124
Austrian
0.4972096
Bosnian
0.5169568
Swedish
0.5184462
BGR_Varna_En3
0.5191895
DEU_Welzin_BA
0.5206217
German
0.5322869
Cossack_Kuban
0.5344999
Latvian
0.5357708
HUN_LBA
0.5429122
Baltic_EST_MA
0.5609833
SWE_IA
0.5686480
CZE_Unetice_EBA
0.5807724
DEU_Unetice_EBA
0.5869388
DEU_MA
0.5878429
Nordic_BA
0.5905830
Scythian_MDA_o2
0.6056842
Scythian_HUN
0.6107020
Baltic_EST_IA
0.6116250
Dutch
0.6151599
Russian_Kostroma
0.6223170
SVK_Poprad_MA
0.6234147
Bell_Beaker_CZE
0.6280790
DEU_Alberstedt_LN
0.6283749
POL_Unetice_EBA
0.6285265
DEU_Halberstadt_LBA
0.6305605
POL_EBA
0.6310617
Bell_Beaker_HUN_EBA
0.6328814
Icelandic
0.6385949
Norwegian
0.6455279
Ingrian
0.6468663
Montenegrin
0.6472933
England_Saxon
0.6485718
Corded_Ware_Baltic
0.6490789
Corded_Ware_POL
0.6513874
Shetlandic
0.6531500
Mordovian
0.6548514
Bell_Beaker_Mittelelbe-Saale
0.6556048
Wales_CA_EBA
0.6557667
HUN_Mako_EBA
0.6570474
Bell_Beaker_POL
0.6571661
Welsh
0.6583860
Bell_Beaker_Bavaria
0.6591582
Baltic_LTU_BA
0.6595619
Finnish
0.6603923
CZE_EBA
0.6630937
Nordic_LN
0.6656422
Orcadian
0.6673279
England_Roman
0.6693429
England_IA
0.6705184
Serbian
0.6709155
HUN_MA_Szolad
0.6725897
Scotland_MBA
0.6747720
Scottish
0.6779177
England_CA_EBA
0.6808553
England_MBA
0.6812758
RUS_Ingria_IA
0.6839783
English
0.6852020
French_Brittany
0.6861026
CZE_Hallstatt_Bylany
0.6886749
HUN_MA_Szolad_o2
0.6904721
French_East
0.6931951
UKR_Chernyakhiv_Shyshaky
0.6932276
Bell_Beaker_FRA
0.6969981
English_Cornwall
0.6980915
Bell_Beaker_England
0.7023650
UKR_Dereivka_I_En2
0.7056122
Bell_Beaker_NLD
0.7068727
Scotland_CA_EBA
0.7080170
IRL_BA
0.7112757
Irish
0.7117298
POL_Chopice_Wesele_Culture
0.7128132
Scotland_LBA
0.7139227
Belgian
0.7173907
SWE_Battle-Axe
0.7252456
Nordic_MN_B
0.7273357
NLD_BA
0.7288892

Tomenable
02-09-19, 18:01
Sorb_Niederlausitz (Brandenburg), 20 closest ancient samples (scaled data and a spreadsheet from 27 May):


[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Avar_Hungary_Szolad:Av1
0.2712850
Sunghir_Medieval:Sunghir6
0.3093027
Scythian_Ukraine:scy009
0.3273887
Avar_Hungary_Szolad:Av2
0.3454520
Slavic_Bohemia:RISE569
0.3749709
Sweden_Viking_Age_Sigtuna:vik_grt036
0.3771377
Sweden_Viking_Age_Sigtuna:vik_urm160
0.4092576
Beaker_Czech:I5025
0.4095100
Beaker_Bavaria:I5531
0.4097434
Kazakhstan_Golden_Horde_Euro:DA29
0.4114785
Sweden_Viking_Age_Sigtuna:vik_stg026
0.4480506
Scythian_Hungary:DA197
0.4862742
Scythian_Hungary:DA191
0.4951488
Sweden_Viking_Age_Sigtuna:vik_84005
0.4990763
Sweden_Viking_Age_Sigtuna:vik_97002
0.5004442
Varna_o:ANI163
0.5191895
Sweden_Viking_Age_Sigtuna:vik_84001
0.5225736
Hungary_Medieval_Szolad:SZ12
0.5412907
Sweden_Viking_Age_Sigtuna:vik_gtm021
0.5426167
Hungary_BA:I1504
0.5427908

Tomenable
06-09-19, 03:15
I came up with this Global25 model for East Germans, looks pretty solid:

https://i.imgur.com/qEBjSqK.png

I think this German_East average (8 samples) is from Leipzig (the same as German_Lipsian from MDLP K16 calc)?

Tomenable
17-09-19, 15:03
Modelling Balkan Serbs as a mixture of Sorbs and indigenous Iron Age Balkan populations, the fit is quite good:

https://i.imgur.com/7IzlwX2.png


https://www.youtube.com/watch?v=7hYu7UM0B40