double.
Printable View
double.
Distance to: Impaler
6.90446233 Turk_Kazanlik
7.22497751 Turk_Razgrad
7.22507439 Turk_Targovishte
7.40196596 Turk_Kavala
7.48050800 Turk_Stara-Zagora
8.18026283 Turk_Alexandroupoli
8.28440704 Greek_Western-Macedonia
8.40571234 Pomak_Central-Macedonia
8.58049532 Macedonian_Southeast
8.71612299 Turk_Kardzhali-East
8.82981880 Bulgarian_Plovdiv
8.94314262 Greek_Central-Macedonia
9.07233707 Bulgarian_Burgas
9.34111342 Turk_Dobrich
9.42464323 Bulgarian_Eastern-Rhodopes
9.47211698 Bulgarian_Southwest
9.51741562 Pomak_Drama
9.52382801 Bulgarian_Gabrovo
9.62560290 North_Macedonian
9.62869605 Kosovo_Albanian
9.69687579 Turk_Thessaloniki
9.74325408 Turk_Xanthi
9.76370319 Bulgarian_North-Rhodope
9.76831613 Vlach_North-Macedonia-Highlander
9.80443267 Romanian_Muntenia
9.97453257 Bulgarian_Central
10.05930415 Gagauz
10.09881181 Pomak_Nevrokopi
10.14988177 Turk_Drama
10.15002463 Bulgarian
10.21594832 Albanian_Montenegro
10.36789757 Albanian_Kosovo
10.38163764 Turk_N-Macedonia
10.40180713 Bulgarian_Thrace
10.41340962 Vlach_North-Macedonia
10.45128700 Romanian_Wallachia_average
10.52220034 Macedonian_Northwest
10.62056966 Albanian
10.64319031 Albanian_south_Albania
10.72218728 Moldova_South
10.77252524 Bulgarian_Stara-Zagora
10.77478538 Bulgarian_Serres
10.78138674 Turk_Kardzhali-West
10.87855689 Macedonian_East
10.95321871 Greek_Thessaly
10.97552172 Macedonian
11.06737548 Romanian_Oltenia
11.09649494 Albanian_Albania
11.12095882 GR_Peloponese
11.22323928 Greek_Northern-Thrace
Double.
Without wanting to minimize your good work, but wouldn't it be more effective to have less but broader regions, with more samples in them, than so many small regions? Like Croatia Proper, Istria, Dalmatia (+Herzegovina), Slavonia, Bosnia? This same question applies to several other cases of small countries divided into so many small parts.
Croatia is extremely heterogenous climatically and geographically for such a small country plus it has very unstable population history due to centuries long Ottoman wars. Keep in mind most of my averages have very good sample size, only one or two have little.
I would like to make let's say west,east,south,north Croat average plus BiH and capital but that wouldn't make sense. I'll try to explain why.
For example west Croatia includes Istria,Kvarner,Lika and Gorski kotar and these regions have little to do with each other, they have very different history, dialects and origin of populations who settled them. So wider west Croatian average wouldn't say much.
Gorski kotar has very strong German and Slovenian influence historically, Kvarner is mostly native chakavian Croat, Lika-Senj is mostly štokavian Croat immigrant origin from Bosnia-Herzegovina and Istria is even more complex, mix of chakavian natives, štokavian immigrants and historical Italian influence.
This are all well definied historical regions, most of them with medieval roots.
I know it's hard to grasp because in comparison Hungary is much more uniform but Croat lands were extremelly fractured politically, even geographically and thus I made such averages.
My mixed mode with updated averages by vbnetkhio, Ion Basescul and Feiichy, only national, not regional.
https://i.imgur.com/H4zkAMb.jpg
The averages were made by Kyp Snow and he got the kits from Nomansman (I also contributed in helping find the Afghan kits). I've seen his samples before (and you have also) so I can say they're from a reliable source. When I double checked on Vahaduo, their distances look realistic. They are similar to the distances the groups get on the updated HarappaWorld calculator. But AFG Tajiks and AFG Pashtuns are a bit heterogeneous so should be divided into more groups. The sample size for each is 7 by the way. I can try to divide them and increase their sample size later, but they are good enough generally.
Can you upload these Sorb averages to K13, K15, and K12b?
Eurogenes K13
Eurogenes K15Code:Sorb_Lusatia,33.21,41.31,10.56,4.96,6.56,0.56,1.15,0.46,0.26,0.59,0.16,0.10,0.12
Dodecad K12bCode:Sorb_Lusatia,23.95,18.87,25.55,17.18,6.36,3.47,3.22,0.27,0.60,0.18,0.01,0.20,0.08,0.01,0.05
Code:Sorb_Lusatia,5.53,0.51,0.49,0.15,26.83,53.94,0.23,0,1.24,0.01,11.08,0
K13
Distance to: Creoda
2.31613903 West_Scottish
3.05762980 Irish
3.12019230 Scottish
3.17458659 Orcadian
3.71848087 North-Dutch
4.87370496 English
5.04546331 Southwest_English
5.25994297 Southeast_English
5.53094929 Norwegian
6.72308709 Welsh
7.24511560 Danish
8.06740355 North_German
8.87363511 Swedish
9.76641695 German_West
11.79990254 South_Dutch
13.19798469 West_German
16.76869405 North-Swedish
17.32742624 Swiss_German
17.67723960 French
19.01615103 Austrian
19.09527952 East_German
20.66949443 Swiss_French
21.08048624 German_east
22.69853079 AostaValley
24.54260377 Czech
24.56610386 Hungarian_Transdanubia
25.21412501 Spanish_Cataluna
25.35013203 Hungarian_Budapest
25.43243008 Croat_Gorski-kotar
25.46961327 Croat_Zagorje
25.56910831 Southwest_Finnish
26.02128744 Southwest_French
26.24621116 Croat_Central
26.27243892 Hungarian_Northern
26.35468082 Hungarian
26.47107667 Spanish_Castilla_Y_Leon
26.68080583 Spanish_Cantabria
26.99864997 Spanish_Galicia
27.07492382 Sorb_Lusatia
27.08467130 Slovak
27.33158140 Slovenian
27.41627619 Portuguese
27.82086642 Hungarian_Alfold
28.08828403 Swiss-Italian
28.28763157 Spanish_Castilla_La_Mancha
28.29632838 Spanish_Murcia
28.31869700 Spanish_Valencia
28.33086126 Swiss_Italian
28.35035709 Hungarian_Szekely
28.49747006 Croat_Zagreb
K15
Distance to: Creoda
4.74016877 West_Scottish
5.33497891 Scotland
5.56342520 Irish
5.65424619 England
5.78186821 Southeast_English
6.30982567 Orcadian
7.14110636 Southwest_English
7.15485150 Dutch
7.92010101 North_Dutch
9.44473398 North_German
9.51192410 Danish
10.54729823 Belgium
10.64175268 Norway
11.14629086 Swedish
11.17606371 Norwegian
11.30107517 West_Norwegian
11.57665755 South_Dutch
11.79518970 North_Swedish
14.23212563 German_Bavarian
14.33209336 West_German
15.12494628 North_Swedish
16.30059201 French
17.06862033 Aland_Sweden
18.34113682 Austria-Burgenland
18.60710886 East_German
19.72819556 Austria-Tyrol
20.02580335 Southwest_Finnish
20.66906868 Italy_Aostavalley
21.18478227 France-South
22.87573387 Austrian
23.67300150 Czech
23.72630608 Spanish_Cataluna
24.16072226 Finnish
24.35650016 Kaykavian_Croatian
24.60515393 Hungarian
24.66074614 Spanish_Galicia
25.20752070 Spanish_Castilla_Y_Leon
25.51552861 Portuguese
25.66654242 Spanish_Cantabria
25.93022368 Italy_Piedmont
25.98756078 Slovenian
26.04822643 Southwest_French
26.25042666 Italy_Trentino
26.41738253 Sorb_Lusatia
26.43832824 Spanish_Murcia
26.65593555 Spanish_Extremadura
26.82811488 Slovak
27.17873203 Szekely
27.50105089 Spanish_Castilla_La_Mancha
27.62793514 Spanish_Valencia
EUTest
K13 AncientCode:Distance to: Creoda
4.34586010 Orcadian
4.65670484 Irish
4.77463088 Danish
5.52417415 Scottish
5.81767136 English
5.95645868 Cornish
6.75816543 Norwegian
6.95683836 Dutch
8.42364529 South_&_Central_Swedish
8.68582754 West_&_Central_German
11.98415621 North_Swedish
15.90640123 French
17.24677651 Austrian
21.45886210 Czech
21.95331638 South_Finnish
22.11413123 Kaikavian_Croatian
22.97801776 Hungarian
23.28364681 Croatian
23.62384812 Slovenian_1
24.07214365 Spanish
24.10192523 Portuguese
24.76282496 Slovakian_1
26.04914010 Serbian
26.11689252 SerbianBosnia
26.79676846 Polish
K15 AncientCode:Distance to: Creoda
2.85336643 CL146_Longobard_
3.46359640 vik_grt035_Sweden_Viking.SG_996_ybp
3.58724128 Hinxton_4_Cambridgshire_UK_2000_years_M_R_DF25_H1ag1_
3.60794956 I0159_England_Saxon.SG_1247_ybp
3.63289141 I0156_England_IA.SG_2017_ybp
3.65381992 I7627_England_MBA_3400_ybp
3.83037857 I2655_Scotland_MBA_3308_ybp
3.89570276 I2421_England_CA_EBA_3794_ybp
4.64358698 I7571_England_MBA_3400_ybp
4.66452570 CL84_longobard_north_italy
4.72272167 France_IA_BES1248
4.83353908 6DT23_England_Roman.SG_1750_ybp
4.87243266 I1767_England_Bell_Beaker_4035_ybp
5.11489003 3DT16_England_Roman.SG_1750_ybp
5.23959922 I7640_England_MBA_3316_ybp
5.29088839 CL83_longobard_north_italy
5.30380052 I1775_Wales_CA_EBA_3597_ybp
5.37611384 I7578_England_MBA_3400_ybp
5.38768039 I7572_England_MBA_3400_ybp
5.50188150 I2566_England_CA_EBA_4070_ybp
5.59005367 I0160_England_IA.SG_1995_ybp
5.66344418 RISE71_Falshoj_Denmark_3701_years_H3b_
5.70004386 grt035_grt035_Sigtuna_10012_century
5.70364796 I2601_England_CA_EBA_3805_ybp
5.72720700 SZ30_Hungary_Langobard_1442_ybp
Code:Distance to: Creoda
4.68623516 France_IA_BES1248
4.86536741 BronzeAgeOrkneyIslander_I2981
6.66009760 BronzeAgeOuterHebrides_I2655
7.51423982 Celt_Hinxton1
7.54156482 LateBronzeAgeScotland
9.86328546 Przeclawice_RISE150
9.91218442 BronzeAgeNetherlands_I4070
9.96934802 SouthFrenchBellBeaker_I3875
10.15802638 UneticeBellBeaker_RISE577
10.49314538 France_IA_PEY53
10.54941231 Swiss_DEU_Singen_EBA_MX280
10.96727405 Swiss_DEU_Singen_EBA_MX270_relMX275
11.62343323 Swiss_Corded_Ware_CHE_MX192_rel195_rel197
12.93293857 Swiss_Corded_Ware_CHE_MX197
13.30554396 Potapovka_I0419
13.33908917 Swiss_Corded_Ware_CHE_MX189
13.54334892 France_IA_COL11
13.75723446 Srubnaya_I0423
13.89241520 France_IA_BFM265
14.11552337 Swiss_Corded_Ware_CHE_MX195_rel192_197
14.36523929 Swiss_Corded_Ware_CHE_MX191
14.46769850 Swiss_DEU_Singen_EBA_MX257
14.47144084 Swiss_DEU_Singen_EBA_MX258
14.50500603 PolishBellBeaker_I4253
14.68809041 Poltavka_I0432
Dodecad K12B
Distance to: Creoda
1.13401940 Dutch
2.13635203 CEU30
2.41072603 English
2.77884868 Mixed_Germanic
2.78343313 English_Kent
3.65595405 British_Isles
4.90367209 Argyll
5.09293628 Orkney
5.27105303 British
5.33760246 Orcadian
5.34138559 Irish
5.48689347 Cornwall
9.75950818 German
10.79057459 French
11.10063061 Norwegian
11.43345092 French
13.91308736 Swedish
17.59792886 Sorb_Lusatia
18.98989205 Hungarians
20.74564774 Croat
21.00900399 Italy_Aosta_Valley
21.15129547 HUN_Szekely
22.23304523 Bosnian
22.29541433 Ukrainian
23.41743368 R.Moldova_Centre+North
Target: DacoCeltic
Distance: 2.3692% / 2.36918914 | ADC: 0.25x
34.6 Mixed_Germanic
28.8 Italy_Aosta_Valley
23.8 HUN_Szekely
9.2 Italy_Trentino
3.2 Adygei
0.4 Croat
Distance to: DacoCeltic
9.74657209 Italy_Aosta_Valley
9.99019019 HUN_Szekely
10.48455912 Italy_Trentino
11.40765971 Serb
11.58557448 Italy_FriuliVG
11.90023109 French
11.97298626 French
11.99359412 Croat
12.22681888 Montenegrin
12.24634895 Swiss_Italian
12.83962616 Mixed_Germanic
12.85248225 Bosnian
13.18899001 Italy_Veneto
13.24145007 German
13.46505848 R.Moldova_Centre+North
13.64035557 Macedonian
13.87832825 Italy_Piedmont
14.87756701 Dutch
14.96816622 Hungarians
15.54222756 Italy_Lombardy
15.92242758 English_Kent
15.98631290 R.Moldova_South
16.33457682 Pomak
16.39402330 CEU30
16.55376090 English
Mom
Target: DacoMom
Distance: 0.7187% / 0.71866213 | ADC: 0.25x
88.2 Dutch
5.8 Mixed_Germanic
3.6 Udmurt
2.4 Argyll
Distance to: DacoMom
1.67041911 Dutch
2.46704276 Mixed_Germanic
3.95882558 CEU30
4.21638471 English
4.52218974 English_Kent
5.35819932 British_Isles
6.12227899 Argyll
6.41890178 Orkney
6.79134007 Orcadian
6.87536908 Irish
6.96766101 British
7.17400167 Cornwall
8.36518380 German
10.64350976 Norwegian
11.59099651 French
12.25569663 French
13.11542222 Swedish
16.09389325 Sorb_Lusatia
17.52975470 Hungarians
19.42777393 Croat
19.85363443 HUN_Szekely
20.72600782 Ukrainian
20.89609533 Bosnian
21.03342998 Italy_Aosta_Valley
22.04660745 R.Moldova_Centre+North
Docedad K12b
Target: mh
Distance: 1.9553% / 1.95531714 | ADC: 0.5x
64.4 HUN_Szekely
23.2 French
8.2 German
4.2 Mixed_Germanic
after this results i got rid of the Mixed German and French because those can be quite mixed and then i got this result:
Target: mh
Distance: 2.0860% / 2.08604637 | ADC: 0.5x
63.0 HUN_Szekely
24.0 Dutch
13.0 Italy_Aosta_Valley
Dodecad K12b
Target: Thambi
Distance: 0.3723% / 0.37230999
87.8 Velamas
3.2 Balochi
2.2 GIH30
1.8 Sindhi
1.6 Georgian_Svan
1.2 Burusho
1.0 JPT30
0.8 Japanese
0.4 Mozabite
Distance to: Thambi
3.69143603 GIH30
4.37949769 INS30
4.97493719 Meghawal
5.25128556 Velamas
6.07157311 Kurmi
6.62802384 Indian
6.81582717 Iyer
7.13040672 Brahmins_from_Tamil_Nadu
7.16268106 Iyengar
7.42870110 Dharkars
7.83823960 Muslim
8.28732164 Tharus
8.33606622 Kanjars
8.64451271 Lambadi
9.73176757 Tamil_Nadu_Scheduled_Caste
10.21812116 Bengali
11.30451237 Kshatriya
11.43923074 Uttar_Pradesh_Scheduled_Caste
11.64723143 Kurumba
12.72949331 Dusadh
12.99393705 Cochin_Jews
14.00507051 Meena
14.72806844 Piramalai_Kallars
16.41212966 Kol
16.61577564 Brahmins_from_Uttar_Pradesh
Dodecad K12b
Target: Pedro
Distance: 1.6266% / 1.62658611 | ADC: 0.25x
53.2 Italy_Aosta_Valley
36.2 Portuguese
5.2 Moroccans
3.8 Finnish
1.4 Ethiopians
0.2 MKK30
Wtf... did I do something wrong?
Target: Iberians
Distance: 0.0475% / 0.04750578
14.6 Sardinian
8.4 Swiss_Italian
7.4 Galicia
7.2 Cantabria
5.8 Castilla_Y_Leon
5.0 Belorussian
4.0 Castilla_La_Mancha
4.0 Finnish
3.0 Aragon
2.8 Lithuanian
2.8 Lithuanians
2.8 Moroccan
2.4 Canarias
2.0 Ashkenazi
2.0 Bulgarians
1.8 French_Basque
1.8 Italy_Lombardy
1.6 Baleares
1.4 Pais_Vasco
1.4 Romanians
1.2 Algerian
1.2 France_Corsica
1.0 Greek
1.0 Mixed_Slav
1.0 Valencia
1.0 Yemen_Jews
0.8 Albanian_North
0.8 FIN30
0.8 Hungarians
0.8 Mozabite
0.6 Ethiopians
0.6 Italy_Liguria
0.6 Moroccans
0.6 Portuguese
0.6 Rus_Tver
0.6 Spaniards
0.6 Spanish
0.6 Ukrainian
0.4 Ethiopian_Jews
0.4 LWK30
0.4 Montenegrin
0.4 Yoruba
0.2 Andalucia
0.2 ASW30
0.2 Bantu_S.W._Herero
0.2 Bulgarian
0.2 Italy_FriuliVG
0.2 Italy_Marche
0.2 PL_Mazovia
0.2 Somali
0.2 Sorb_Lusatia
Nvm fixed it at .25x ADC
Target: Iberians
Distance: 1.8155% / 1.81552054 | ADC: 0.25x
39.4 Galicia
28.8 Italy_Aosta_Valley
24.2 Swiss_Italian
4.6 Moroccans
2.4 Finnish
0.4 LWK30
0.2 MKK30
Even better Croatian averages :)
Croat_B&H_Bosnia,27.52,32.18,15.42,7.12,13.80,1.50 ,0.64,0.29,0.62,0.30,0.43,0.07,0.12
Croat_B&H_Herzegovina,24.67,32.93,15.61,8.62,14.05 ,1.48,0.72,0.19,0.45,0.60,0.41,0.03,0.07
Croat_B&H_West_Bosnia,26.20,31.95,15.68,9.32,12.99 ,1.71,0.53,0.37,0.37,0.48,0.21,0.11,0.07
Croat_Croatia_Dalmatia,26.19,31.56,16.05,8.45,13.6 6,1.57,0.49,0.19,0.59,0.53,0.37,0.20,0.12
Croat_Croatia_Gorski_Kotar,31.53,32.48,14.46,7.52, 10.28,1.15,0.62,0.29,0.53,0.55,0.31,0.14,0.12
Croat_Croatia_Zagorje,31.65,34.32,13.07,7.78,8.75, 1.54,0.74,0.55,0.29,0.82,0.23,0.09,0.16
Croat_Croatia_Istria&Kvarner,26.02,32.70,15.67,7.5 1,14.51,1.76,0.19,0.46,0.21,0.38,0.51,0.07,0.02
Croat_Croatia_Lika-Senj,26.92,32.68,15.74,7.65,13.07,1.54,0.31,0.25,0 .54,0.54,0.52,0.14,0.09
Croat_Croatia_Slavonia,28.33,32.94,13.58,8.45,12.7 5,1.27,0.05,0.24,1.29,0.73,0.34,0.02,0.02
Croat_Croatia_Central,30.20,33.91,14.98,7.32,9.69, 1.11,0.84,0.23,0.35,0.44,0.66,0.05,0.28
Croat_Croatia,28.40,32.86,14.87,7.84,12.09,1.44,0. 43,0.31,0.56,0.57,0.42,0.10,0.11
Croat_B&H,26.13,32.36,15.57,8.35,13.61,1.56,0.63,0 .29,0.48,0.46,0.35,0.07,0.09
Croat,28.03,32.78,14.98,7.92,12.34,1.46,0.46,0.31, 0.55,0.55,0.41,0.10,0.11
I won't bother again for some time I promise!
Updated with another sample (for Eurogenes K13):
Bosniak_Sandzak,23.19,26.67,18.64,10.47,16.53,2.65 ,0.28,0.32,0.27,0.59,0.14,0.05,0.20
updated Armenians for Dodecad K12b
Armenian_East,17.31,0.25,0.50,0.04,10.96,6.45,0.37 ,0.01,13.83,0.19,50.02,0.02
^^ok tomorrow
K13 and K15 averages for Northern and Midlands English.
Code:English_North,49.73,24.43,12.93,5.78,3.21,0.78,1.37,0.24,0.17,0.51,0.37,0.24,0.20
English_Midlands,50.26,23.14,13.99,6.24,2.66,0.49,1.22,0.38,0.18,0.35,0.52,0.28,0.22
Code:English_North,37.00,27.17,10.99,8.66,8.85,3.88,0.97,0.40,0.94,0.08,0.07,0.31,0.23,0.24,0.13
English_Midlands,37.06,27.48,10.08,8.83,9.79,3.99,0.30,0.50,0.84,0.12,0.06,0.12,0.38,0.18,0.17
Spoiler!
A Welsh average for K15, I noticed there wasn't one.
Individual samples:Code:Welsh,37.31,28.58,9.57,8.63,9.32,4.43,0.18,0.15,0.82,0.05,0.22,0.36,0.22,0.01,0.09
Code:SthWales1,30.77,33.69,10.89,8.09,9.67,3.90,0,1.98,0,0.60,0,0,0.08,0.17,0.17
SthWales2,40.48,26.75,5.45,10.27,11.60,4.22,0,0,0,0,0,1.06,0.12,0,0
Welsh1,34.61,30.84,9.55,7.82,8.92,4.10,1.90,0,1.66,0,0,0.57,0,0,0
Welsh2,41.20,23.82,9.69,8.93,11.59,2.86,0,0,0.73,0,0.61,0.11,0.47,0,0
Welsh3,40.34,25.92,8.69,6.96,11.10,5.13,0,0,0,0,0.68,0.57,0,0,0.60
Welsh4,34.45,29.03,13.04,7.79,8.03,5.69,0,0,1.89,0,0,0.09,0,0,0
Welsh5,34.86,33.35,9.47,9.93,3.71,6.35,0,0,1.65,0,0.68,0,0,0,0
Welsh6,41.08,28.26,5.61,10.74,10.95,2.35,0,0,0,0,0.32,0,0.69,0,0
Welsh7,41.44,25.20,8.03,9.53,9.18,5.27,0,0,0.43,0.05,0,0.10,0.52,0,0.24
Welsh8,35.74,29.76,11.48,6.87,8.66,4.37,0.55,0,1.11,0,0,0.66,0.81,0,0
Welsh9,32.39,34.38,11.64,6.78,8.39,4.19,0,0,0.59,0,0,1.21,0.26,0,0.16
Welsh10,34.45,29.03,13.04,7.79,8.03,5.69,0,0,1.89,0,0,0.09,0,0,0
NthWales1,43.27,21.51,7.88,10.70,11.37,3.47,0,0,0.82,0,0.66,0.32,0,0,0
Target: gixajo
Distance: 2.6104% / 2.61035377 | ADC: 0.25x
59.6 Galicia
23.2 Baleares
9.0 Castilla_Y_Leon
6.6 Belorussian
1.6 Swiss_Italian
Sorry, is it possible to obtain the gedmatch kit number of this sample?
G25 coordinates are ok also, but is more interesting for me the first.
Is one of the samples that are in the dodecad k12b Ancient sources.Quote:
ElSotilloBasqueCountry_I1977
They were found 13 corpses(page 16, in Spanish sorry, but you can understand datation of corpses), Do you know from which one of those 13 individuals were obtained Dna to get those coordinates?
https://core.ac.uk/download/pdf/84678899.pdf