Ukrainian academic regional k13 results - more than 100

Originally Posted by vbnetkhio

Old academic data from Yunusbayev.
3 samples from Lviv and 3 ethnic Ukrainians from Belgorod, Russia.
now we just need Pagani and Balanovsky.

Code: [View]

MW3377762 UkrBel614
Population 
North_Atlantic	27.6 Pct
Baltic	47.64 Pct
West_Med	5.29 Pct
West_Asian	9.26 Pct
East_Med	6.18 Pct
Red_Sea	0.21 Pct
South_Asian	0.35 Pct
East_Asian	1.22 Pct
Siberian	0.97 Pct
Amerindian	0.35 Pct
Oceanian	- 
Northeast_African	0.14 Pct
Sub-Saharan	0.8 Pct

EN2489269 UkrBel618	
Population 
North_Atlantic	27.26 Pct
Baltic	48.15 Pct
West_Med	8.74 Pct
West_Asian	9.79 Pct
East_Med	1.11 Pct
Red_Sea	0.44 Pct
South_Asian	2.29 Pct
East_Asian	- 
Siberian	0.9 Pct
Amerindian	0.65 Pct
Oceanian	0.11 Pct
Northeast_African	- 
Sub-Saharan	0.54 Pct

RL8887294	UkrBel622
Population	 
North_Atlantic	22.56 Pct
Baltic	46.1 Pct
West_Med	9.68 Pct
West_Asian	7.53 Pct
East_Med	9.49 Pct
Red_Sea	0.62 Pct
South_Asian	0.33 Pct
East_Asian	1.13 Pct
Siberian	1.19 Pct
Amerindian	0.74 Pct
Oceanian	0.63 Pct
Northeast_African	-    
Sub-Saharan	-    

FX6177821	UkrLv215
Population	 
North_Atlantic	28.27 Pct
Baltic	45.91 Pct
West_Med	11.42 Pct
West_Asian	5.29 Pct
East_Med	2.53 Pct
Red_Sea	2.41 Pct
South_Asian	1.53 Pct
East_Asian	0.19 Pct
Siberian	1.36 Pct
Amerindian	-    
Oceanian	1.07 Pct
Northeast_African	-    
Sub-Saharan	-    

WF5027156	UkrLv226
Population	 
North_Atlantic	28.19 Pct
Baltic	38.33 Pct
West_Med	12.95 Pct
West_Asian	8.5 Pct
East_Med	6.04 Pct
Red_Sea	1.95 Pct
South_Asian	0.91 Pct
East_Asian	0.42 Pct
Siberian	0.81 Pct
Amerindian	1.11 Pct
Oceanian	0.79 Pct
Northeast_African	-    
Sub-Saharan	-   

NF2707044	UkrLv228
Population	 
North_Atlantic	25.64 Pct
Baltic	41.33 Pct
West_Med	11.58 Pct
West_Asian	7.63 Pct
East_Med	7.3 Pct
Red_Sea	0.82 Pct
South_Asian	1.07 Pct
East_Asian	0.35 Pct
Siberian	2.18 Pct
Amerindian	1.24 Pct
Oceanian	0.43 Pct
Northeast_African	-    
Sub-Saharan	0.43 Pct

You have Balanovski in Reich last iteration.

delete

Originally Posted by vbnetkhio

the averages by oblast, sorted by their Baltic score:

_	North_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	Northeast_African	Sub0Saharan
Volynska	24.50	49.74	12.13	7.65	2.00	0.76	0.00	1.54	0.73	0.09	0.70	0.00	0.15
Kyivska	23.42	46.90	9.51	6.86	6.93	0.99	0.08	1.25	1.98	0.00	0.64	0.00	1.44
Chernihivska	25.98	46.86	10.17	6.38	5.64	1.07	1.22	0.52	0.76	0.40	0.53	0.31	0.17
Sumska	27.34	46.20	9.75	5.30	6.04	0.89	1.18	0.53	1.07	0.72	0.53	0.11	0.33
Dnipropetrovska	26.69	46.12	10.08	6.00	4.67	1.13	0.99	0.45	2.26	0.71	0.47	0.23	0.22
Donetska	26.36	45.99	9.85	5.77	6.48	0.99	0.75	0.47	1.93	0.71	0.26	0.11	0.34
Rivnenska	27.38	45.98	10.70	5.48	5.36	0.69	0.70	0.19	1.21	1.01	0.69	0.22	0.39
Zhytomyrska	26.43	45.83	10.39	6.19	7.02	0.56	0.86	0.25	1.11	0.53	0.40	0.21	0.24
Poltavska	25.00	45.47	11.05	3.70	7.89	0.52	2.27	1.04	0.55	1.23	1.15	0.00	0.11
Harkivska	27.11	44.73	12.09	5.57	5.16	1.40	0.65	0.02	1.34	1.12	0.56	0.10	0.18
Zaporizka	26.93	44.33	10.28	4.87	8.61	0.53	1.87	0.01	1.66	0.47	0.36	0.00	0.11
Cherkaska	27.57	43.85	10.39	5.49	7.03	0.69	0.98	0.19	2.80	0.25	0.47	0.28	0.00
Krym	29.03	42.58	9.40	4.38	10.12	0.05	0.97	0.03	0.68	0.84	1.09	0.78	0.06
Kropyvnytska	27.51	42.28	11.30	6.27	6.89	0.07	3.65	0.00	0.55	0.63	0.46	0.10	0.32
Lvivska	28.10	39.51	12.30	6.91	8.35	1.29	1.01	0.38	1.28	0.42	0.26	0.14	0.07
Zakarpatska	26.94	38.49	12.59	7.54	9.15	1.20	1.15	0.38	1.34	0.68	0.29	0.14	0.12
Ivano-Frankivska	27.97	37.03	13.70	6.71	8.56	2.04	1.08	0.48	1.45	0.56	0.18	0.14	0.10
Ternopilska	26.28	36.83	15.73	8.55	9.07	0.04	0.73	0.61	1.05	0.76	0.32	0.02	0.03
Chernivetska	24.35	34.81	10.48	10.75	9.29	1.21	0.32	1.36	5.44	0.90	0.46	0.52	0.12
Ukrainian_avg	26.73	42.52	11.24	6.64	7.50	1.03	1.07	0.41	1.39	0.64	0.43	0.19	0.21

sample size:

Zakarpatska	24
Lvivska	12
Sumska	12
Chernihivska	11
Dnipropetrovska	10
Rivnenska	11
Zhytomyrska	8
Donetska	4
Ivano-Frankivska	4
Cherkaska	3
Zaporizka	2
Chernivetska	2
Harkivska	2
Kropyvnytska	2
Ternopilska	2
Krym	1
Kyivska	1
Poltavska	1
Volynska	1

Vahaduo format:

Code: [View]

Volynska,24.50,49.74,12.13,7.65,2.00,0.76,0.00,1.54,0.73,0.09,0.70,0.00,0.15
Kyivska,23.42,46.90,9.51,6.86,6.93,0.99,0.08,1.25,1.98,0.00,0.64,0.00,1.44
Chernihivska,25.98,46.86,10.17,6.38,5.64,1.07,1.22,0.52,0.76,0.40,0.53,0.31,0.17
Sumska,27.34,46.20,9.75,5.30,6.04,0.89,1.18,0.53,1.07,0.72,0.53,0.11,0.33
Dnipropetrovska,26.69,46.12,10.08,6.00,4.67,1.13,0.99,0.45,2.26,0.71,0.47,0.23,0.22
Donetska,26.36,45.99,9.85,5.77,6.48,0.99,0.75,0.47,1.93,0.71,0.26,0.11,0.34
Rivnenska,27.38,45.98,10.70,5.48,5.36,0.69,0.70,0.19,1.21,1.01,0.69,0.22,0.39
Zhytomyrska,26.43,45.83,10.39,6.19,7.02,0.56,0.86,0.25,1.11,0.53,0.40,0.21,0.24
Poltavska,25.00,45.47,11.05,3.70,7.89,0.52,2.27,1.04,0.55,1.23,1.15,0.00,0.11
Harkivska,27.11,44.73,12.09,5.57,5.16,1.40,0.65,0.02,1.34,1.12,0.56,0.10,0.18
Zaporizka,26.93,44.33,10.28,4.87,8.61,0.53,1.87,0.01,1.66,0.47,0.36,0.00,0.11
Cherkaska,27.57,43.85,10.39,5.49,7.03,0.69,0.98,0.19,2.80,0.25,0.47,0.28,0.00
Krym,29.03,42.58,9.40,4.38,10.12,0.05,0.97,0.03,0.68,0.84,1.09,0.78,0.06
Kropyvnytska,27.51,42.28,11.30,6.27,6.89,0.07,3.65,0.00,0.55,0.63,0.46,0.10,0.32
Lvivska,28.10,39.51,12.30,6.91,8.35,1.29,1.01,0.38,1.28,0.42,0.26,0.14,0.07
Zakarpatska,26.94,38.49,12.59,7.54,9.15,1.20,1.15,0.38,1.34,0.68,0.29,0.14,0.12
Ivano-Frankivska,27.97,37.03,13.70,6.71,8.56,2.04,1.08,0.48,1.45,0.56,0.18,0.14,0.10
Ternopilska,26.28,36.83,15.73,8.55,9.07,0.04,0.73,0.61,1.05,0.76,0.32,0.02,0.03
Chernivetska,24.35,34.81,10.48,10.75,9.29,1.21,0.32,1.36,5.44,0.90,0.46,0.52,0.12
Ukrainian_avg,26.73,42.52,11.24,6.64,7.50,1.03,1.07,0.41,1.39,0.64,0.43,0.19,0.21

note: Ukrainian_avg is just the average of all single samples.

The average would be optimal if weighted based on the population of various Ukrainian regions/subgroups. Zakarpatska is definetly overrepresented here. The Ukrainians i have seen were mostly around 45% Baltic if not from the southwestern part of the country or most northern. It would be great if we had such regional results also for Russians

delete

Originally Posted by vbnetkhio

yeah, I know. I checked those sampels a year ago. But none of them looks particularly Czech-like.
maybe Peterski was talking about some other study?

Maybe some from Balanovski. I removed most of them as too western.

I was talking about UKR-1283 from Balanovski, but Pagani samples from Sumy are also west-shifted.

Originally Posted by Arhat

The average would be optimal if weighted based on the population of various Ukrainian regions/subgroups. Zakarpatska is definetly overrepresented here. The Ukrainians i have seen were mostly around 45% Baltic if not from the southwestern part of the country or most northern. It would be great if we had such regional results also for Russians

Russians are well represented on Dodecad K12b, mostly academic samples plus a couple of my custom averages. I also made a Russian national average for K13 based on samples from various parts of European Russia. Eurogenes' original references aren't terrible either.

You don't even like Gedmatch, dude. And you treat it as some very personal info, not just a bunch of fucking numbers.

Originally Posted by Leto

Russians are well represented on Dodecad K12b, mostly academic samples plus a couple of my custom averages. I also made a Russian national average for K13 based on samples from various parts of European Russia. Eurogenes' original references aren't terrible either.

You don't even like Gedmatch, dude. And you treat it as some very personal info, not just a bunch of fucking numbers.

You can not use gedmatch cals for ancient models and it is oudated in any way. The creator of the cals himselves says that and i think he knows more about how it works than you and me. I am not saying it is useless and it works great for most modern day Europeans but anyhing ancient or non-European is already either wrong or very inaccurate.

Originally Posted by Arhat

You can not use gedmatch cals for ancient models and it is oudated in any way. The creator of the cals himselves says that and i think he knows more about how it works than you and me. I am not saying it is useless and it works great for most modern day Europeans but anyhing ancient or non-European is already either wrong or very inaccurate.

Dodecad works fine for a lot of Eurasians. I dislike the G25 bullshit that is being spammed by gixajo and some other users. He is a fucking nobody scientifically and creates bullshit models every single day.

Originally Posted by Leto

Dodecad works fine for a lot of Eurasians. I dislike the G25 bullshit

G25 will never catch up, as long as it 1) is not free and 2) available for people to get it straight from a website like on GEDmatch. Otherwise, it is extremely hard if not impossible to build proper references. Relying only on academic samples is not enough to get a comprehensive picture.