Hun, Avar and conquering Hungarian results [Vahaduo K13]

**oszkar07** · 05-01-2021, 02:23 PM

Originally Posted by cakmir7y

Just for fun, Ive checked those data against me.

Distance to: cakmir7y(czech)
8.02718506 K1per13_GE_S21_R1_001
13.10847436 DKper701_GE_S1_R1_001
14.34024058 KVper3450_GE_S7_R1_001
17.15278986 K2per6_GE_S16_R1_001
19.71218151 K3per3_GE_S6_R1_001
20.94599007 SHper2_GE_S3_R1_001
21.26221531 MHper16_GE_S12_R1_001
22.07166056 KeF2per2_GE_S3_R1_001_merged
22.60834802 SHper15_GE_S1_R1_001
22.90684396 K2per41_GE_S20_R1_001

This K1per13_GE_S21_R1_001 conqueror is one of the two of the whole dataset with E-V13 YDNA.

The same sample using updated K13 on vahaduo. I find it pretty interesting that one of the 9/10th century
Hungarian conquerors is closest to the modern Czechs.

Distance to: K1per13_GE_S21_R1_001
8.44624177 Czech
8.97092526 Sorb_Lusatia
9.18524904 German_East
9.32349184 Slovak
9.93049848 Polish_Masuria
10.18789969 Slovenian
10.46708651 South_Polish
10.62888517 Hungarian_North
11.27571727 Croat_North
11.33444749 Ukrainian_Galicia
11.78513046 Polish
11.87415260 Polish_Kielce
12.02045756 Hungarian_Transdanubia+Budapest
12.31556738 Hungarian
12.51479524 Ukrainian_Carpathian
12.52525848 Hungarian_Alföld
12.99195135 Moldova_Ukrainian
13.01068791 Austrian
13.74664686 Southwest_Finnish
13.81222285 Croat
13.84139444 Ukrainian
14.48467466 Croat_East
14.87906247 Croat_West
15.05897407 Bosniak_Bosnia
15.58171364 Russian_Smolensk

Such diversity amongst the conquerors
just for fun tried it and got him too.

Target: Oszkar
Distance: 3.2219% / 3.22194133 | ADC: 0.25x RC
66.2 K1per13_GE_S21_R1_001
15.0 KeF2per3_GE_S2_R1_001
8.5 K2per6_GE_S16_R1_001
6.9 K1per10_GE_S5_L001_R1_001
3.4 K2per26_GE_S9_R1_001

**Lucas** · 05-01-2021, 09:20 PM

Originally Posted by Dunai

Really amazing to see so many Magyar Conqueror autosomal results, I believe it's a first to have so many. Even the conqueror elite seems to have been heavily heterogenous, with a great variety of multiple Eurasian regions, which makes you to conclude that the Magyar Conquerors were most probably a multiethnic steppe confederation, an alliance of multiple steppe people with a common political goal: to be united against eastern attacks, but also to live freely and independently from any other empire, thus they agreed that best way to survive is to find a suitable area to live under their own terms, which became the Carpathian Basin.

Simply modern Hungarians

**someonenotyou** · 05-02-2021, 05:46 AM

Originally Posted by cakmir7y

Just for fun, Ive checked those data against me.

Distance to: cakmir7y(czech)
8.02718506 K1per13_GE_S21_R1_001
13.10847436 DKper701_GE_S1_R1_001
14.34024058 KVper3450_GE_S7_R1_001
17.15278986 K2per6_GE_S16_R1_001
19.71218151 K3per3_GE_S6_R1_001
20.94599007 SHper2_GE_S3_R1_001
21.26221531 MHper16_GE_S12_R1_001
22.07166056 KeF2per2_GE_S3_R1_001_merged
22.60834802 SHper15_GE_S1_R1_001
22.90684396 K2per41_GE_S20_R1_001

This K1per13_GE_S21_R1_001 conqueror is one of the two of the whole dataset with E-V13 YDNA.

The same sample using updated K13 on vahaduo. I find it pretty interesting that one of the 9/10th century
Hungarian conquerors is closest to the modern Czechs.

Distance to: K1per13_GE_S21_R1_001
8.44624177 Czech
8.97092526 Sorb_Lusatia
9.18524904 German_East
9.32349184 Slovak
9.93049848 Polish_Masuria
10.18789969 Slovenian
10.46708651 South_Polish
10.62888517 Hungarian_North
11.27571727 Croat_North
11.33444749 Ukrainian_Galicia
11.78513046 Polish
11.87415260 Polish_Kielce
12.02045756 Hungarian_Transdanubia+Budapest
12.31556738 Hungarian
12.51479524 Ukrainian_Carpathian
12.52525848 Hungarian_Alföld
12.99195135 Moldova_Ukrainian
13.01068791 Austrian
13.74664686 Southwest_Finnish
13.81222285 Croat
13.84139444 Ukrainian
14.48467466 Croat_East
14.87906247 Croat_West
15.05897407 Bosniak_Bosnia
15.58171364 Russian_Smolensk

Distance to:
10.27084222 K2per6_GE_S16_R1_001
11.92485220 K2per41_GE_S20_R1_001
15.33089365 KVper3450_GE_S7_R1_001
17.00336143 SHper2_GE_S3_R1_001
17.05856676 K1per13_GE_S21_R1_001
17.22604424 KeF2per2_GE_S3_R1_001_merged
21.74378992 MHper16_GE_S12_R1_001
22.29018842 K3per13_GE_S2_R1_001
24.28562332 MHper15_GE_S11_R1_001
27.05096117 K3per3_GE_S6_R1_001
29.06525417 KeF2per3_GE_S2_R1_001
29.08734089 SHper15_GE_S1_R1_001
30.54716026 SzKper239_GE_S28_R1_001
31.24128679 KVper3369_GE_S6_R1_001
31.46254917 K2per36_GE_S19_R1_001
32.59804289 K3per12_GE_S3_L001_R1_001
32.98714750 K2per29_GE_S10_L001_R1_001
32.98734000 K2per61_GE_S9_L001_R1_001
34.39166905 K2per18_GE_S13_R1_001
34.90955170 PVper72_GE_S29_R1_001
36.21224102 K2per52_GE_S1_R1_001_merged
39.34545336 SHper3_GE_S4_R1_001
41.82728894 K1per1_GE_S4_L001_R1_001
42.79850231 MHper9_GE_S10_R1_001_merged
42.94825608 K2per26_GE_S9_R1_001

The one I'm closest to is closest to Swiss French.

Distance to: K2per6_GE_S16_R1_001
11.38848980 Swiss_French
11.58908970 Csángó-Ceangău
11.69741424 Hungarian_Transylvania+Székely
11.70941929 Austrian
11.96522461 Swiss_German
12.20621153 France_Alsace
12.80619772 Hungarian_Transdanubia+Budapest
12.90855143 Swiss_German2
13.15615445 German_South
13.21002271 Hungarian
13.64346730 Croat_West
13.77091137 Hungarian_Alföld
13.96306199 Romania_Crisana
14.08001065 Romania_Moldavia_North
14.08724600 Pennsylvania_Dutch
14.14315736 Serb_Serbia_West
14.29239658 Croat
14.46667550 Croat_South
14.48639707 France_north-east
14.50255839 Romania_Maramures
14.52921540 Croat_North
14.55025773 Romania_Transylvania
14.55405785 German_West
14.62759379 Romania_Moldavia_South
14.65004437 Slovenian

**~~Dunai~~** · 05-02-2021, 10:46 AM

Originally Posted by Lucas

Simply modern Hungarians

Modern Hungarians actually are way more homegenous compared to Hungarian Conquerors. You will rarely see such large regional distances among us then among them, since most Modern Hungarians simply fit among other East Central and Souteastern Europeans. Of course if you also consider Hungarian nationals of Jewish or Romani ethnic background then Modern Hungarians can be as heterogenous as Hungarian Conquerors.

Someone should do an average for Hungarian Conquerors, curious what distance their average would get and to which populations are they closest.

**vbnetkhio** · 05-02-2021, 06:28 PM

I re-run all the files. the percentages are 1-2% off compared to Lucas' version.
in column 3 i added the quality (percentage of k13's SNPs present in the file)

_	_	quality	North_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	Northeast_African	Sub-Saharan
MMper227_GE_S31_R1_001	early_avar	0.026146	25.74	13.27	15.86	14.97	10.79	12.86	0.01	2.36	0.53	0.00	3.62	0.00	0.00
KFPper6_GE_S2_R1_001	early_avar	0.020848	18.30	31.95	17.08	1.45	0.00	3.95	5.17	0.00	12.25	1.70	0.00	0.00	8.15
KFPper31_GE_S3_R1_001	early_avar	0.018615	22.92	5.38	13.25	9.76	24.72	0.06	4.72	0.00	10.50	2.76	5.93	0.00	0.00
FGDper4_GE_S4_R1_001	early_avar	0.015128	5.01	22.11	0.00	10.63	0.17	8.43	0.00	13.62	38.85	1.17	0.00	0.00	0.00
KBper300_GE_S5_R1_001	early_avar	0.012589	0.04	24.85	15.00	24.97	0.93	13.81	0.00	3.82	7.31	8.05	1.22	0.00	0.00
SzOper540_GE_S26_R1_001	early_avar	0.010662	7.81	8.97	0.00	25.72	7.58	4.53	0.02	4.92	29.11	4.22	0.00	0.00	7.14
PSZper1_GE_S33_R1_001	early_avar	0.008538	32.73	9.98	10.50	0.00	25.88	1.84	0.02	0.01	0.00	15.56	3.49	0.00	0.00
SzOper81_GE_S25_R1_001	early_avar	0.007925	33.94	0.01	0.00	3.30	35.78	5.73	8.50	0.00	7.20	5.55	0.00	0.00	0.00
MMper58_GE_S30_R1_001	early_avar	0.007405	21.81	28.11	0.01	26.58	0.00	0.00	2.56	0.00	15.79	0.00	5.15	0.00	0.00
SzKper51_GE_S27_R1_001	early_avar	0.005342	0.85	41.21	3.32	15.51	8.43	11.14	6.07	0.00	12.48	0.00	1.01	0.00	0.00
DKper701_GE_S1_R1_001	early_avar	0.004505	34.32	30.67	10.84	10.74	0.00	0.00	0.00	0.00	1.29	0.29	4.22	5.70	1.94
HUNper3_GE_S8_R1_001	Hun	0.02157	24.39	23.45	5.05	20.12	14.52	2.85	0.01	0.00	4.85	3.19	0.00	1.58	0.00
HUNper1_GE_S32_R1_001	Hun	0.010438	18.94	19.17	9.46	26.66	0.05	0.00	3.57	1.06	6.07	8.94	2.03	4.06	0.00
HUNper2_GE_S15_R1_001	Hun	0.006365	27.56	20.27	0.00	12.78	5.54	20.40	2.99	3.95	0.00	0.00	6.51	0.00	0.00
SzKper239_GE_S28_R1_001	late_avar	0.02556	25.86	4.72	19.32	15.39	28.97	3.20	0.00	0.00	0.00	2.53	0.00	0.00	0.00
KVper3369_GE_S6_R1_001	late_avar	0.012167	16.02	38.16	6.80	0.00	10.70	0.01	15.60	0.00	12.33	0.00	0.36	0.00	0.00
PVper72_GE_S29_R1_001	late_avar	0.007799	16.54	53.90	16.72	0.00	0.11	0.00	0.00	0.00	2.25	2.84	0.00	7.64	0.00
SHper2_GE_S3_R1_001	magyar	0.020421	21.30	32.38	19.94	16.79	2.72	0.00	0.00	0.00	0.00	3.12	3.77	0.00	0.00
MHper9_GE_S10_R1_001	magyar	0.019852	5.23	26.19	0.00	9.98	28.35	0.02	0.00	20.33	2.73	4.49	0.63	0.00	2.06
K3per13_GE_S2_R1_001	magyar	0.019452	15.84	26.54	15.08	16.51	0.05	3.63	0.01	6.82	12.30	3.24	0.00	0.00	0.00
KeF2per15_GE_S5_R1_001	magyar	0.018719	0.02	36.04	0.00	11.67	0.00	0.88	7.36	3.98	34.41	5.17	0.00	0.00	0.45
K2per52_GE_S1_R1_001	magyar	0.017356	14.83	25.58	0.04	36.73	15.12	0.00	0.00	2.22	0.00	0.00	2.13	1.78	1.56
KVper3450_GE_S7_R1_001	magyar	0.017334	23.90	30.82	20.09	0.07	9.18	0.83	0.00	1.97	5.65	7.48	0.00	0.00	0.00
KeF2per2_GE_S3_R1_001	magyar	0.017328	36.69	21.96	3.33	13.12	8.01	0.98	3.74	2.74	8.26	0.67	0.49	0.00	0.00
K2per36_GE_S19_R1_001	magyar	0.016803	22.96	10.18	14.85	0.01	25.84	4.41	14.07	1.11	0.00	6.56	0.00	0.00	0.00
KeF2per3_GE_S2_R1_001	magyar	0.015396	44.30	9.64	0.01	21.54	6.44	4.21	3.82	0.00	5.29	4.74	0.00	0.00	0.00
K1per13_GE_S21_R1_001	magyar	0.01526	32.49	40.96	16.62	0.00	6.23	0.92	0.00	0.16	0.00	0.80	0.00	1.82	0.00
K2per41_GE_S20_R1_001	magyar	0.013377	34.03	17.60	20.96	12.77	8.05	0.00	3.17	0.00	0.77	0.83	1.81	0.00	0.00
MHper15_GE_S11_R1_001	magyar	0.013043	23.04	30.91	1.29	21.32	6.91	0.00	0.00	5.81	0.00	5.49	0.00	5.22	0.00
K2per6_GE_S16_R1_001	magyar	0.011571	31.78	21.78	14.63	14.09	7.37	5.63	0.01	0.00	0.00	1.39	3.30	0.00	0.00
K2per26_GE_S9_R1_001	magyar	0.011543	31.25	8.50	2.38	6.46	43.60	0.00	0.00	0.52	0.00	5.94	0.00	1.14	0.22
SHper3_GE_S4_R1_001	magyar	0.008484	6.08	20.94	14.09	0.00	12.43	16.47	0.00	0.00	23.85	3.52	2.60	0.01	0.00
K1per1438_GE_S17_R1_001	magyar	0.008199	0.93	36.91	6.59	0.00	42.73	3.26	0.00	0.00	0.00	7.82	0.00	0.00	1.76
SHper15_GE_S1_R1_001	magyar	0.006869	36.50	34.11	0.00	0.00	0.00	10.15	0.00	10.30	0.00	0.00	4.33	3.40	1.20
MHper16_GE_S12_R1_001	magyar	0.006311	32.57	35.08	3.97	19.80	0.00	0.31	0.00	0.04	0.79	7.44	0.00	0.01	0.00
K2per18_GE_S13_R1_001	magyar	0.00584	21.79	4.87	28.85	0.00	18.77	0.00	12.19	0.00	0.84	12.69	0.00	0.00	0.00
K1per1_GE_S4_L001_R1_001	magyar	0.005665	0.00	16.27	10.75	13.28	23.02	14.24	0.00	8.48	13.97	0.00	0.00	0.00	0.00
K3per1_GE_S18_R1_001	magyar	0.005024	0.00	56.36	0.01	16.67	12.43	0.00	2.84	0.89	10.80	0.00	0.00	0.00	0.00
K1per3286_GE_S14_R1_001	magyar	0.005008	42.99	0.00	2.39	0.52	0.00	8.67	14.27	13.62	11.24	2.00	0.00	4.30	0.00
K2per61_GE_S9_L001_R1_001	magyar	0.004751	35.80	0.02	16.10	14.17	4.09	5.23	0.00	6.70	14.27	3.62	0.00	0.00	0.00
K1per10_GE_S5_L001_R1_001	magyar	0.004745	55.98	0.00	3.45	0.00	0.00	19.45	0.02	1.34	5.66	0.00	0.00	5.03	9.07
KeF2per14_GE_S8_R1_001	magyar	0.004603	29.63	0.00	0.00	4.15	0.00	0.00	24.03	0.00	30.90	5.02	0.00	6.26	0.00
K2per29_GE_S10_L001_R1_001	magyar	0.003946	20.88	27.81	0.00	0.00	30.40	0.66	11.69	0.10	6.67	0.00	1.81	0.00	0.00
K2per16_GE_S7_L001_R1_001	magyar	0.003333	28.73	0.00	7.80	23.80	6.59	0.00	33.08	0.00	0.00	0.00	0.00	0.00	0.00
K3per3_GE_S6_R1_001	magyar	0.002726	27.53	40.30	1.62	0.00	11.64	0.00	0.00	0.00	0.00	0.01	13.12	5.79	0.00
K2per33_GE_S2_L001_R1_001	magyar	0.002687	0.01	56.80	26.53	4.60	0.00	0.00	0.00	0.00	0.00	0.61	0.00	11.45	0.00
K3per12_GE_S3_L001_R1_001	magyar	0.00254	27.82	17.83	0.02	24.18	1.30	0.00	6.61	0.00	0.00	20.22	2.01	0.00	0.00
K2per51_GE_S7_R1_001	magyar	0.001691	0.00	0.00	18.37	0.00	0.00	0.00	33.75	0.00	41.82	0.00	1.44	4.61	0.00
K3per6_GE_S10_R1_001	magyar	0.001691	1.61	43.49	0.00	0.00	0.00	0.00	9.69	0.00	28.13	0.00	0.00	17.08	0.00

**vbnetkhio** · 05-02-2021, 06:31 PM

the 12 highest quality/most reliable results:

Code:

early_avar:KFPper31_GE_S3_R1_001,22.92,5.38,13.25,9.76,24.72,0.06,4.72,0.00,10.50,2.76,5.93,0.00,0.00
early_avar:KFPper6_GE_S2_R1_001,18.30,31.95,17.08,1.45,0.00,3.95,5.17,0.00,12.25,1.70,0.00,0.00,8.15
early_avar:MMper227_GE_S31_R1_001,25.74,13.27,15.86,14.97,10.79,12.86,0.01,2.36,0.53,0.00,3.62,0.00,0.00
Hun:HUNper3_GE_S8_R1_001,24.39,23.45,5.05,20.12,14.52,2.85,0.01,0.00,4.85,3.19,0.00,1.58,0.00
late_avar:SzKper239_GE_S28_R1_001,25.86,4.72,19.32,15.39,28.97,3.20,0.00,0.00,0.00,2.53,0.00,0.00,0.00
magyar:K2per52_GE_S1_R1_001,14.83,25.58,0.04,36.73,15.12,0.00,0.00,2.22,0.00,0.00,2.13,1.78,1.56
magyar:K3per13_GE_S2_R1_001,15.84,26.54,15.08,16.51,0.05,3.63,0.01,6.82,12.30,3.24,0.00,0.00,0.00
magyar:KeF2per15_GE_S5_R1_001,0.02,36.04,0.00,11.67,0.00,0.88,7.36,3.98,34.41,5.17,0.00,0.00,0.45
magyar:KeF2per2_GE_S3_R1_001,36.69,21.96,3.33,13.12,8.01,0.98,3.74,2.74,8.26,0.67,0.49,0.00,0.00
magyar:KVper3450_GE_S7_R1_001,23.90,30.82,20.09,0.07,9.18,0.83,0.00,1.97,5.65,7.48,0.00,0.00,0.00
magyar:MHper9_GE_S10_R1_001,5.23,26.19,0.00,9.98,28.35,0.02,0.00,20.33,2.73,4.49,0.63,0.00,2.06
magyar:SHper2_GE_S3_R1_001,21.30,32.38,19.94,16.79,2.72,0.00,0.00,0.00,0.00,3.12,3.77,0.00,0.00

**vbnetkhio** · 05-02-2021, 06:35 PM

all files merged into one, k13 results:

Code:

Component	%	
North_Atlantic	23,08%	
Baltic	22,66%	
West_Med	8,81%	
West_Asian	11,48%	
East_Med	13,46%	
Red_Sea	3,50%	
South_Asian	2,44%	
East_Asian	2,78%	
Siberian	8,99%	
Amerindian	2,26%	
Oceanian	0,55%	

Oracle Calculator by www.dnagenics.com
v1.9  01/08/2020

Finished reading population data. 369 populations found.
13 components mode.

A distance calculation method.

--------------------------------


Mixed Mode:
1 68,36% Turk_Kardzhali-South-Plain + 31,64% North-Swedish @ 4,504
2 72,27% Szekely + 27,73% Afghan_Turkmen @ 4,816
3 69,92% Csango_Gymes + 30,08% Turkmen_Uzbekistan @ 4,871
4 62,89% Turk_Kardzhali-East + 37,11% Tatar @ 4,871
5 62,89% Turk_Stara-Zagora + 37,11% Tatar @ 4,874
6 72,27% Szekely + 27,73% Turkmen_Uzbekistan @ 5,015
7 51,95% Turk_Alexandroupoli + 48,05% Tatar @ 5,158
8 50,39% Tatar + 49,61% Turk_Alexandroupoli @ 5,210
9 58,98% Tatar + 41,02% Marche @ 5,230
10 58,98% Tatar + 41,02% Umbria @ 5,243

Least-squares method.

Using 1 populations approximation
1 100% Turk_Stara-Zagora  @ 11,173
2 100% Turk_Razgrad  @ 11,176
3 100% Turk_Kardzhali-East  @ 11,292
4 100% Turk_N-Macedonia  @ 11,724
5 100% Szekely  @ 12,173
6 100% Turk_Kardzhali-West  @ 12,356
7 100% Romanian_South_Central_Moldova  @ 12,390
8 100% Turk_Sliven-Alevi  @ 12,397
9 100% Bulgarian_Dupnitsa  @ 12,748
10 100% Turk_Targovishte  @ 12,770

Using 2 populations approximation
1 50% Turk_Alexandroupoli + 50% Tatar  @ 5,193
2 50% Southwest_Finnish + 50% Turk_South  @ 5,321
3 50% Greek_Central-Macedonia + 50% Tatar  @ 5,679
4 50% Turk_Central_West + 50% Southwest_Finnish  @ 5,813
5 50% Turk_North_West + 50% Southwest_Finnish  @ 5,871
6 50% Southwest_Finnish + 50% Turk_Anatolia  @ 5,905
7 50% Turk_Kardzhali-East + 50% Tatar  @ 5,940
8 50% Turk_Stara-Zagora + 50% Tatar  @ 5,981
9 50% Szekely + 50% Crimean_Tatar  @ 5,997
10 50% Turk_Targovishte + 50% Tatar  @ 6,035

Using 3 populations approximation
1 33% Mari + 33% North-Dutch + 33% Nusayri  @ 2,943
2 33% Mari + 33% North-Dutch + 33% Lebanese_Muslim  @ 3,089
3 33% Mari + 33% North-Dutch + 33% Syrian  @ 3,407
4 33% Mari + 33% North-Dutch + 33% Turk_Cypriot  @ 3,742
5 33% Mari + 33% North-Dutch + 33% Cyprian  @ 3,873
6 33% Mari + 33% North-Dutch + 33% Greek_Cypriot  @ 3,873
7 33% Mari + 33% North-Dutch + 33% Greek_Cappadocian  @ 4,126
8 33% Malta + 33% Afghan_Turkmen + 33% Southwest_Finnish  @ 4,347
9 33% Mari + 33% North-Dutch + 33% Kurdish_Jewish  @ 4,539
10 33% Turk_Kardzhali-South-Plain + 33% Turk_Kardzhali-South-Plain + 33% North-Swedish  @ 4,571

Using 4 populations approximation
1 25% Turk_Burgas + 25% Turk_Burgas + 25% Turk_Dobruja-Tatar + 25% Southwest_Finnish  @ 3,695
2 25% Turk_Burgas + 25% Turk_Burgas + 25% Turk_Dobruja-Tatar + 25% Finnish  @ 4,070
3 25% Turk_Burgas + 25% Turk_Burgas + 25% Turk_Dobruja-Tatar + 25% North-Swedish  @ 4,118
4 25% Pomak_Central-Macedonia + 25% Pomak_Central-Macedonia + 25% Romanian_North_Moldova_Bukovina + 25% Shors  @ 4,415
5 25% Turk_Burgas + 25% Turk_Burgas + 25% Turk_Dobruja-Tatar + 25% East_Finnish  @ 4,595
6 25% Crimean_Tatar + 25% Crimean_Tatar + 25% Vlach_North-Macedonia-Highlander + 25% North_German  @ 4,718
7 25% Turk_Burgas + 25% Turk_Burgas + 25% Turk_Dobruja-Tatar + 25% Estonian  @ 4,727
8 25% Crimean_Tatar + 25% Crimean_Tatar + 25% Vlach_North-Macedonia-Highlander + 25% Danish  @ 4,803
9 25% Crimean_Tatar + 25% Crimean_Tatar + 25% Vlach_North-Macedonia-Highlander + 25% Swedish  @ 4,805
10 25% Csango_Gymes + 25% Csango_Gymes + 25% Romanian_Oltenia + 25% Afghan_Turkmen  @ 4,852

^it has 40% k13 SNPs. highest individual files have only 2%.

compare it to the average of all results:

Code:

North_Atlantic	21.21
Baltic	22.57
West_Med	8.43
West_Asian	10.63
East_Med	10.32
Red_Sea	3.85
South_Asian	4.69
East_Asian	2.39
Siberian	8.55
Amerindian	3.46
Oceanian	1.45
Northeast_African	1.77
Sub-Saharan	0.68

it shows how realiable k13 is, even on a very low number of SNPs.

**~~Dunai~~** · 05-02-2021, 07:28 PM

Originally Posted by vbnetkhio

the 12 highest quality/most reliable results:

Code:

early_avar:KFPper31_GE_S3_R1_001,22.92,5.38,13.25,9.76,24.72,0.06,4.72,0.00,10.50,2.76,5.93,0.00,0.00
early_avar:KFPper6_GE_S2_R1_001,18.30,31.95,17.08,1.45,0.00,3.95,5.17,0.00,12.25,1.70,0.00,0.00,8.15
early_avar:MMper227_GE_S31_R1_001,25.74,13.27,15.86,14.97,10.79,12.86,0.01,2.36,0.53,0.00,3.62,0.00,0.00
Hun:HUNper3_GE_S8_R1_001,24.39,23.45,5.05,20.12,14.52,2.85,0.01,0.00,4.85,3.19,0.00,1.58,0.00
late_avar:SzKper239_GE_S28_R1_001,25.86,4.72,19.32,15.39,28.97,3.20,0.00,0.00,0.00,2.53,0.00,0.00,0.00
magyar:K2per52_GE_S1_R1_001,14.83,25.58,0.04,36.73,15.12,0.00,0.00,2.22,0.00,0.00,2.13,1.78,1.56
magyar:K3per13_GE_S2_R1_001,15.84,26.54,15.08,16.51,0.05,3.63,0.01,6.82,12.30,3.24,0.00,0.00,0.00
magyar:KeF2per15_GE_S5_R1_001,0.02,36.04,0.00,11.67,0.00,0.88,7.36,3.98,34.41,5.17,0.00,0.00,0.45
magyar:KeF2per2_GE_S3_R1_001,36.69,21.96,3.33,13.12,8.01,0.98,3.74,2.74,8.26,0.67,0.49,0.00,0.00
magyar:KVper3450_GE_S7_R1_001,23.90,30.82,20.09,0.07,9.18,0.83,0.00,1.97,5.65,7.48,0.00,0.00,0.00
magyar:MHper9_GE_S10_R1_001,5.23,26.19,0.00,9.98,28.35,0.02,0.00,20.33,2.73,4.49,0.63,0.00,2.06
magyar:SHper2_GE_S3_R1_001,21.30,32.38,19.94,16.79,2.72,0.00,0.00,0.00,0.00,3.12,3.77,0.00,0.00

Great work! So can you make and add a brand new Hungarian_Conqueror average from all of the 30+ results? Even if they are of low SNP numbers, as you said, they seem to be pretty usable. I would be curious how does this new average score on K13 Updated calculator.

**vbnetkhio** · 05-02-2021, 07:33 PM

Originally Posted by Dunai

Great work! So can you make and add a brand new Hungarian_Conqueror average from all of the 30+ results? Even if they are of low SNP numbers, as you said, they seem to be pretty usable. I would be curious how does this new average score on K13 Updated calculator.

HQ-the 7 best ones

Code:

Magyar_HQ,16.83,28.50,8.35,14.98,9.06,0.91,1.59,5.44,9.05,3.45,1.00,0.25,0.58
Magyar_all,22.08,22.81,8.43,9.44,10.35,3.12,5.64,2.72,8.07,3.53,1.17,2.12,0.51