76 Hungarian academic samples - k13 results

[vbnetkhio]

I ran k13 on 3 academic sets of Hungarians, these are the results.

There are 3 obvious outliers:

Hungarian_o:Hungary_573,33.94,51.20,0.92,5.37,0.02 ,0.20,0.74,0.00,3.88,1.97,0.76,0.01,0.99
Hungarian_o:Hungary_585,20.44,20.81,15.98,5.87,31. 26,2.37,0.94,0.00,0.93,0.05,0.00,0.59,0.76
Hungarian_o:Hungary_568,12.05,14.42,12.27,14.90,17 .94,2.61,21.97,0.10,0.97,2.35,0.16,0.00,0.25

the first looks unmistakeably Finnish, the second could be Jewish, Italian or Greek admixed, and the third is a Romani.

the rest cluster together:

Hungarian:hungary11,41.33,29.11,11.15,2.14,11.61,3 .04,0,1.01,0.13,0,0.48,0,0
Hungarian:hungary1,32.78,30.13,15.22,7.34,8.33,0.1 7,3.05,0,2,0.81,0,0,0.12
Hungarian:hungary17,33.8,31.15,13.19,5.97,12.58,0, 0,0.47,1.08,1.38,0.36,0,0
Hungarian:hungary4,29.77,31.31,14.29,10.87,7.91,2. 58,0,0,2.07,1.17,0,0,0
Hungarian:hungary14,32.87,31.77,13.2,5.32,11.64,0, 0.45,0.32,2.04,0.89,0.61,0,0.89
Hungarian:hungary20,34.09,33.09,11.18,5.86,11.16,0 .59,2.31,0,0.46,0.4,0,0.85,0
Hungarian:Hungarian_Zakarpatska,35.53,33.14,13.11, 4.22,8.75,2.07,0.8,1.48,0,0.5,0.41,0,0
Hungarian:hungary10,29.84,35.23,16.33,2.16,13.67,0 .95,0,1.09,0.14,0,0.31,0,0.27
Hungarian:hungary9,28.03,36.07,15.33,4.88,10.41,1. 56,0.39,0.32,1.24,0.49,0.43,0.85,0
Hungarian:hungary7,30.16,37.35,13.79,9.51,5.15,0.9 7,0,2.15,0,0,0.62,0,0.29
Hungarian:Hungarian_a,22.54,38.93,13.43,7.12,11.86 ,2.46,1.16,0.08,2.04,0,0.33,0.05,0
Hungarian:hungary15,33.69,39.26,3.76,2.64,15.83,0. 95,0.53,0.22,1.82,0.85,0,0.44,0
Hungarian:hungary6,24.27,39.67,13.12,3.81,16.8,0,0 .33,0.1,0,1.21,0,0.67,0
Hungarian:hungary13,17.71,39.86,22.6,7.37,6.81,3.1 6,0,0.64,0.75,0,0.98,0.1,0
Hungarian:hungary19,23.58,42.68,10.99,4.47,14.03,0 .88,2.71,0,0.54,0,0.1,0,0
Hungarian:hungary3,18.74,42.81,15.79,5.1,14.37,0,1 .88,0,0.59,0.24,0.05,0.43,0
Hungarian:hungary18,25.64,43.96,11.29,0,16.02,0.45 ,1.08,0.56,0.12,0.89,0,0,0
Hungarian:hungary12,19.14,45.69,16.25,4.95,11.86,0 ,0.17,0,0,1.6,0.34,0,0
Hungarian:hungary2,21.56,45.87,12.38,3.8,13.69,0,0 ,0,1.44,0.66,0.61,0,0
Hungarian:hungary8,17.25,46.64,17.16,1.99,14.93,0, 0.17,0.52,0.16,0.34,0.14,0.67,0
Hungarian:hungary16,22.18,48,9.7,2.97,15.52,0.49,0 ,0.53,0,0,0,0.6,0
Hungarian:hungary5,25.77,49.85,11.82,1.91,8.95,0,0 .22,0,0.33,0.74,0,0,0.39
Hungarian:Hungarian_NA15206,37.35,28.2,13.11,8,10. 02,0,0,2.37,0,0,0.36,0.29,0.31
Hungarian:HungarianE5_Budapest,33.44,31.07,13.01,4 .27,12.36,0.41,1.71,0,1.11,2.39,0.1,0,0.13
Hungarian:HungarianD1_Budapest,25.04,31.37,14.34,8 .72,15,3.19,0,0,0.74,0.74,0.85,0,0
Hungarian:Hungarian_NA15201,29.27,31.51,15.55,7.96 ,10.3,1.02,0.4,0.15,0,1.72,2.08,0,0
Hungarian:Hungarian_NA15207,27.8,31.64,14.1,7.46,1 4.04,0.09,1.88,0,1.96,0.88,0.14,0,0
Hungarian:HungarianH3_Budapest,32.21,32.49,13.55,2 .28,13.93,0,1.86,1.02,0,0.91,0.35,0,1.41
Hungarian:Hungarian_NA15204,30.13,32.74,12.43,3.82 ,14.61,0.92,0,0.87,1.94,0.58,0.26,1.7,0
Hungarian:Hungarian_NA15202,38.62,32.93,11.53,6.65 ,5.83,1.11,0,1.21,0.55,0,0,0,1.57
Hungarian:Hungarian_NA15203,28.86,33.6,15.6,7.78,9 .33,0,0.61,1.56,0.07,1.25,0.06,0.79,0.45
Hungarian:Hungarian1.DG,28.9,33.9,15.47,7.78,9.25, 0,0.55,1.39,0.14,1.31,0.06,0.81,0.44
Hungarian:Hungarian2.DG,28.9,33.9,15.47,7.78,9.25, 0,0.55,1.39,0.14,1.31,0.06,0.81,0.44
Hungarian:Hungarian_NA15199,31.25,34.3,14.49,4.7,1 1.3,0,0.43,0.3,0.7,0,0.6,1.92,0
Hungarian:Hungarian_NA15200,30.73,35.07,15.95,4.15 ,8.78,2.14,0,0,1.44,1.35,0,0,0.38
Hungarian:Hungarian_NA15208,28.7,35.64,13.4,3.22,1 3.82,3.3,0,0,0.93,0.15,0.83,0,0
Hungarian:Hungarian_NA15205,31.69,37.54,12.88,3.48 ,12.11,0.15,0,0,0.73,0.76,0.66,0,0
Hungarian:HungarianC5_Budapest,30.12,37.76,12.92,5 .32,8.43,1.11,3.06,0,0.94,0,0.34,0,0
Hungarian:Hungary_587,25.44,23.04,15.88,10.18,19.0 3,4.90,0.03,0.00,0.00,0.22,1.28,0.00,0.00
Hungarian:Hungary_609,41.90,23.26,12.95,5.41,13.63 ,0.00,0.08,0.00,0.00,2.31,0.46,0.00,0.00
Hungarian:Hungary_577,28.66,26.10,15.11,6.56,16.98 ,3.22,0.06,0.00,2.23,0.00,1.01,0.07,0.00
Hungarian:Hungary_583,34.58,26.83,13.13,7.16,14.11 ,2.52,0.46,1.21,0.00,0.00,0.00,0.00,0.00
Hungarian:Hungary_606,39.22,26.93,16.17,5.92,8.67, 0.06,0.18,0.44,0.17,1.11,0.97,0.00,0.16
Hungarian:Hungary_580,36.93,27.23,13.76,4.00,10.12 ,3.27,1.13,0.73,0.46,1.37,0.94,0.07,0.00
Hungarian:Hungary_596,34.89,27.30,15.57,6.01,9.42, 4.12,0.02,0.00,2.65,0.02,0.00,0.00,0.00
Hungarian:Hungary_603,37.07,27.70,13.37,7.80,12.28 ,0.05,1.02,0.45,0.00,0.26,0.00,0.00,0.00
Hungarian:Hungary_605,33.12,27.83,18.49,4.88,12.65 ,1.23,0.00,0.35,0.00,0.42,0.00,1.02,0.01
Hungarian:Hungary_599,28.04,27.88,12.85,5.42,20.20 ,1.03,0.00,1.98,1.10,0.00,0.00,1.52,0.00
Hungarian:Hungary_578,24.74,28.40,15.72,8.57,16.20 ,2.51,0.73,0.00,0.02,1.93,0.73,0.13,0.32
Hungarian:Hungary_581,29.05,28.59,14.87,7.72,14.30 ,1.27,0.00,2.08,0.45,0.24,0.00,1.43,0.00
Hungarian:Hungary_594,40.07,28.93,12.78,6.11,7.50, 3.31,0.78,0.00,0.00,0.52,0.00,0.00,0.00
Hungarian:Hungary_571,31.77,30.36,15.65,11.49,3.21 ,2.32,2.17,0.70,1.04,0.93,0.00,0.36,0.00
Hungarian:Hungary_600,32.82,30.93,16.74,3.59,8.92, 2.16,3.06,0.03,0.27,1.12,0.00,0.36,0.00
Hungarian:Hungary_610,34.43,31.83,11.49,6.32,10.49 ,1.02,0.01,2.66,1.12,0.04,0.13,0.00,0.47
Hungarian:Hungary_584,35.31,31.95,12.27,6.78,8.75, 1.19,0.02,0.46,1.28,0.50,1.10,0.17,0.22
Hungarian:Hungary_597,29.43,32.13,14.46,8.13,9.66, 2.73,1.01,0.54,1.07,0.01,0.24,0.54,0.06
Hungarian:Hungary_569,27.31,32.72,18.65,6.61,7.73, 2.42,1.06,0.00,2.16,1.26,0.10,0.00,0.00
Hungarian:Hungary_601,24.53,32.73,17.14,7.95,13.86 ,1.27,0.00,0.18,1.55,0.01,0.77,0.00,0.00
Hungarian:Hungary_589,27.11,32.78,11.85,9.82,15.53 ,0.01,0.00,0.45,1.17,1.13,0.00,0.06,0.10
Hungarian:Hungary_576,41.17,33.02,9.23,4.91,3.96,3 .66,2.98,0.02,0.63,0.41,0.00,0.00,0.00
Hungarian:Hungary_575,29.56,33.15,11.91,6.03,11.87 ,3.64,0.02,0.00,1.63,0.15,1.46,0.00,0.57
Hungarian:Hungary_588,29.01,33.25,14.02,9.14,11.98 ,0.02,1.02,0.70,0.13,0.32,0.41,0.00,0.00
Hungarian:Hungary_582,29.49,33.61,13.76,5.17,13.92 ,0.96,0.00,1.54,0.02,1.52,0.00,0.00,0.00
Hungarian:Hungary_574,31.89,33.71,14.75,3.23,10.70 ,0.85,1.15,0.07,2.66,0.71,0.06,0.01,0.21
Hungarian:Hungary_608,30.43,33.86,15.13,6.12,10.69 ,0.84,0.07,0.97,1.43,0.05,0.02,0.42,0.00
Hungarian:Hungary_607,29.47,34.40,11.27,8.77,11.44 ,1.78,0.00,2.47,0.34,0.00,0.01,0.06,0.00
Hungarian:Hungary_592,30.83,34.59,12.40,5.88,10.57 ,2.57,0.78,0.10,1.05,0.43,0.80,0.00,0.00
Hungarian:Hungary_591,35.39,35.07,10.70,3.86,9.15, 2.87,0.51,0.01,0.88,0.97,0.00,0.58,0.01
Hungarian:Hungary_611,28.17,35.42,12.65,10.04,6.67 ,2.71,0.01,0.70,1.61,0.01,2.01,0.00,0.00
Hungarian:Hungary_593,33.96,36.29,13.06,4.93,7.25, 0.00,1.28,1.92,0.79,0.51,0.01,0.00,0.00
Hungarian:Hungary_604,29.94,36.70,12.05,6.50,6.31, 3.27,0.83,0.02,2.22,1.02,0.75,0.40,0.00
Hungarian:Hungary_590,27.26,37.15,13.45,7.60,8.43, 3.73,0.00,0.00,1.35,0.07,0.01,0.00,0.94
Hungarian:Hungary_595,28.29,37.39,11.73,9.79,5.17, 4.01,0.97,0.38,1.57,0.70,0.01,0.00,0.00
Hungarian:Hungary_602,30.06,38.01,12.19,5.00,10.90 ,0.06,2.33,0.71,0.35,0.01,0.37,0.00,0.00
Hungarian:Hungary_586,30.04,39.56,8.92,7.59,7.38,2 .19,0.01,0.04,2.35,1.24,0.00,0.00,0.69
Hungarian:Hungary_579,29.56,45.57,10.25,3.19,9.74, 0.63,0.08,0.00,0.31,0.64,0.02,0.00,0.00

average:
Hungarian_academic,30.19,34.23,13.62,5.95,11.18,1. 42,0.66,0.55,0.85,0.63,0.34,0.24,0.14

compare with "real" Hungarian results:
https://www.theapricity.com/forum/showthread.php?322006-The-most-ultimate-Hungarian-K13-database-thus-far

[vbnetkhio]

PCA of these samples with Hungarian member results:
https://i.imgur.com/txX7RN8.png

I've also marked the edge-lying academic samples and which ethnicity they plot closest to.

[Jana]

PCA of these samples with Hungarian member results:
https://i.imgur.com/txX7RN8.png

I've also marked the edge-lying academic samples and which ethnicity they plot closest to.

Some of these plot like eastern Slavs. Are they perhaps from Transcarpathia?

[vbnetkhio]

Some of these plot like eastern Slavs. Are they perhaps from Transcarpathia?

no, they are all sampled in Budapest.

There is a whole cluster of these weird samples, between Universe and the SW-Ukrainian-like sample on the PCA.

They aren't completely identical to East Slavs. They have very low North Atlantic (17-25) and more than 40 Baltic.
Ion Basescul found a couple of Northern Moldavians who are like this, if you remember.

maybe they are Csangos?

[Jana]

no, they are all sampled in Budapest.

There is a whole cluster of these weird samples, between Universe and the SW-Ukrainian-like sample on the PCA.

They aren't completely identical to East Slavs. They have very low North Atlantic (17-25) and more than 40 Baltic.
Ion Basescul found a couple of Northern Moldavians who are like this, if you remember.

maybe they are Csangos?

Maybe, it's really interesting! Do they score any mongoloid?

[Scandal]

hungarian with 51.2% baltic xD

[vbnetkhio]

Maybe, it's really interesting! Do they score any mongoloid?

not really :noidea:

this is the most extreme one, marked as "SW_Ukrainian" on the map.

Hungarian:hungary8,17.25,46.64,17.16,1.99,14.93,0, 0.17,0.52,0.16,0.34,0.14,0.67,0

he has a distance of 14 to Ukrainian Ivano-Frankivsk, but there are some Moldavians very close to him. maybe Ukrainians too, but we don't have enough samples from there so we can't know.

maybe they are calculator affected?

[Leto]

The Romani is a bit more Northern-shifted

Distance to: Hungarian_o:Hungary_568
5.07234660 Gypsy_Wallachia
7.71313814 Balkan_Gypsy
22.33827657 Turk_Trakya
23.34751807 Pomak_Drama
23.42019214 Turk_Deliorman
24.25970527 Turk_Makedonya
24.44797947 Greek_Macedonia_Thrace
24.66323174 Pomak_Komotini
24.66923185 Turk_Crete
24.89644754 Moldova_South_Gagauzia

Distance: 2.2061% / 2.20608171
Target: Hungarian_o:Hungary_568 | ADC: 0.25x RC
76.7 Gypsy_Wallachia
15.1 Moldova_Centre
6.3 Brahmin_UP
1.9 Mayan

[Jana]

not really :noidea:

this is the most extreme one, marked as "SW_Ukrainian" on the map.

Hungarian:hungary8,17.25,46.64,17.16,1.99,14.93,0, 0.17,0.52,0.16,0.34,0.14,0.67,0

he has a distance of 14 to Ukrainian Ivano-Frankivsk, but there are some Moldavians very close to him. maybe Ukrainians too, but we don't have enough samples from there so we can't know.

maybe they are calculator affected?

Could be calculator effect, because if they were Csango they should score more mongoloid. Some of differences between NA-Baltic are extreme for east-central Europe.
But as you said, we can't be sure. Is quality of samples decent?

[Ion Basescul]

See you guys in Budapest.


<tbody>
Distance to:
IonBasescul_Merged


4.66161989
Hungarian:HungarianD1_Budapest


5.03741005
Hungarian:Hungary_601


5.16891671
Hungarian:Hungarian_NA15207


5.36300289
Hungarian:Hungary_581


5.57103222
Hungarian:Hungary_578


6.30392735
Hungarian:Hungary_589


6.35473052
Hungarian:Hungary_588


6.57477756
Hungarian:Hungary_597


6.79395319
Hungarian:Hungarian_NA15201


7.43222040
Hungarian:hungary4


7.51747298
Hungarian:Hungary_577


7.64234257
Hungarian:Hungarian_NA15203


7.84931844
Hungarian:Hungarian1.DG


7.84931844
Hungarian:Hungarian2.DG


8.07377855
Hungarian:Hungary_607


8.15398675
Hungarian:Hungary_608


8.18298845
Hungarian:Hungary_575


8.32162845
Hungarian:Hungary_582


8.39279453
Hungarian:Hungary_569


9.19047333
Hungarian:Hungarian_NA15204


9.32199549
Hungarian:hungary9


9.53005771
Hungarian:Hungary_592


9.62162148
Hungarian:hungary14


9.66441928
Hungarian:Hungary_599


9.67657481
Hungarian:hungary1


</tbody>

[MoroLP]

Vahaduo Custom PCA:

1) Hungarian academic samples (https://ibb.co/zZyDMmM)
2) Hungarian academic average (https://ibb.co/c6r9RX7)

[noricum]

I ran the hungarian samples to see who is closest to me. Surprisingly the transcarpathian sample came out second.
Any info on hungary20?
vbnetkhio would you care to include me in the PCA?

Noricum(austrian),34.35,34.42,13.15,3.82,10.84,1.0 4,1.43,0,0.39,0,0.11,0.1,0

Distance to: Noricum(austrian)
3.42020467 Hungarian:hungary20
3.42210462 Hungarian:Hungarian_Zakarpatska
3.91337450 Hungarian:Hungary_574
3.99791196 Hungarian:Hungary_591

[vbnetkhio]

Could be calculator effect, because if they were Csango they should score more mongoloid. Some of differences between NA-Baltic are extreme for east-central Europe.
But as you said, we can't be sure. Is quality of samples decent?

yes, the have all the SNPs. they are from that set i uploaded to gedmatch long ago.

I think it is calc. effect after all.

There is 9 or 10 of these samples, depends where you draw the line. It makes sense that Davidski would take 10 of the available samples and use them for sourcing the components, so he has some unaffected samples left for calculating the Hungarian average for the oracle. That's how it's usually done.

if there was just 2-3 of them i wouldn't be so sure. but I don't think there's a whole genetic cluster hiding in Budapest that Dunai hasn't found yet.

and they plot separately from what seems to be the Hungarian cluster. (member results and most of the other samples.)

calc-affected and non-calc-affected Basques for comparison:
https://i.imgur.com/6i15PvN.png

[Scandal]

not really :noidea:

this is the most extreme one, marked as "SW_Ukrainian" on the map.

Hungarian:hungary8,17.25,46.64,17.16,1.99,14.93,0, 0.17,0.52,0.16,0.34,0.14,0.67,0

he has a distance of 14 to Ukrainian Ivano-Frankivsk, but there are some Moldavians very close to him. maybe Ukrainians too, but we don't have enough samples from there so we can't know.

maybe they are calculator affected?

What do you mean by 'calculator effected'

[vbnetkhio]

What do you mean by 'calculator effected'

each component (Baltic, West Med ... etc.) is based on a dozen of academic samples. e.g West Med is obviously based on 10 or 20 Sardinian samples.
transitional samples, which don't have a specific component which peaks in them, like e.g the Hungarians, are also used in the making of the calculator.

so when you get 10% West med, 10% Baltic,.. the calculator is just modelling you as 10% Sardinian, 10% Lithuanian...
calculators are just like a nMonte/Vahaduo oracle, but they work directly with your raw data.

the problem is, when you run these exact "source samples" through the calculator, they get weird results. that's called the "calculator effect"

[Jana]

^^Yes. From what I understand, when samples which were used in making of the calculator are re-run there, they get unrealistically inflated one component (depending for what they were used) while some other components get artificially decreased. Since this is old set it's quite likely some of them are calculator affected indeed, Dunai has huge Hungarian database and there aren't such weird samples there. This is likely explanation for their extreme disbalance between some components.

[vbnetkhio]

I ran the hungarian samples to see who is closest to me. Surprisingly the transcarpathian sample came out second.
Any info on hungary20?
vbnetkhio would you care to include me in the PCA?

Noricum(austrian),34.35,34.42,13.15,3.82,10.84,1.0 4,1.43,0,0.39,0,0.11,0.1,0

Distance to: Noricum(austrian)
3.42020467 Hungarian:hungary20
3.42210462 Hungarian:Hungarian_Zakarpatska
3.91337450 Hungarian:Hungary_574
3.99791196 Hungarian:Hungary_591

they are all from Budapest, "NA" samples which are unspecified, and that one from Zakarpatia.
here you go:

https://i.imgur.com/k8wAqmZ.png

[TheMaestro]

Seem I'm miles away from you guys my Magyar friends XD RIP genetics

[vbnetkhio]

Seem I'm miles away from you guys my Magyar friends XD RIP genetics

there is one sample not too far away from you. (Hungary587)

[Aren]

Try run these samples in Eurogenes K36, I believe Hungarians were used for the Central Euro component and Basques were used for the Basque component obviously. If they suffer from the calculator effect then they might be the samples David used for his averages and calculators.

[Jana]

Try run these samples in Eurogenes K36, I believe Hungarians were used for the Central Euro component and Basques were used for the Basque component obviously. If they suffer from the calculator effect then they might be the samples David used for his averages and calculators.

Doesn't K36 central Euro component peaks in Poland? I think I remember somebody mentioned that, and Davidski was criticised because he used such label xD

[vbnetkhio]

Try run these samples in Eurogenes K36, I believe Hungarians were used for the Central Euro component and Basques were used for the Basque component obviously. If they suffer from the calculator effect then they might be the samples David used for his averages and calculators.

yes, they were used for k36. Davidski published the list of source samples for k36 (https://docs.google.com/file/d/0B9o3EYTdM8lQUlVTRmxQdGpZdW8/edit) so we know.
another clue they were probably used for k13 as well.

[Aren]

Doesn't K36 central Euro component peaks in Poland? I think I remember somebody mentioned that, and Davidski was criticised because he used such label xD

Yes. And East Central Euro peaked in Latvians. French peaked in Dutch and Brits. Odd calculator to say the least.

[Dunai]

I really hope these samples were never really taken for granted as valid academic samples, because in many cases just by looking at them they seem very none-Hungarian, or only partially Hungarian. Since nothing is known about to which individuals these samples belong to, the best scientific approach would be to ignore them completely. I already have more than 400 samples that were carefully vetted, to be sure I didn't use any samples that belonged to individuals with at least one none Hungarian grandparent, since 25% other ethnic background can already reflect an unrepresentative result, when my scope was to gain Hungarian ethnic averages.

[Luke35]

Seem I'm miles away from you guys my Magyar friends XD RIP genetics

No RIP, you're just as Magyar genetically as me, I don't care what the chart says.

[oszkar07]

Target: Oszkar
Distance: 97.4780% / 0.97477987
31.0 Hungarian:Hungary_596
22.2 Hungarian:Hungary_594
15.2 Hungarian:Hungarian_NA15202
14.0 Hungarian:Hungary_576
11.4 Hungarian:hungary11
4.0 Hungarian:hungary5
2.2 Hungarian:Hungary_579


Target: Oszkar
Distance: 105.6670% / 1.05667040 | ADC: 0.25x RC
29.0 Hungarian:Hungary_596
19.8 Hungarian:Hungarian_NA15202
16.4 Hungarian:Hungary_594
16.4 Hungarian:Hungary_591
10.8 Hungarian:Hungary_576
7.6 Hungarian:hungary11


Target: Oszkar
Distance: 116.1743% / 1.16174274 | ADC: 0.5x RC
38.6 Hungarian:Hungary_594
24.4 Hungarian:Hungary_591
20.0 Hungarian:Hungary_596
17.0 Hungarian:Hungarian_NA15202


My highest match
Distance to: Hungarian:Hungary_596
5.40694923 Austrian
7.44714039 Hungarian_Transdanubia+Budapest
7.83541320 Hungarian_Transylvania
7.95563322 Hungarian
8.28782239 France_Alsace
8.41756497 Swiss_German
8.72423636 Székely
8.85563098 Slovenian
8.88185791 Hungarian_Alföld
9.33073416 Csángó
9.38395972 Swiss_French
9.44132936 Croat_North
9.50243127 Croat_West
9.54806263 German_East
9.58806028 German
9.63123564 Swiss_German2
10.14834962 Croat
10.32586558 Hungarian_Northern
10.39019249 Pennsylvania_Dutch
11.18437303 German_West
11.33838172 Croat_South
11.42520459 Czech
11.50112603 France_north-east
11.75854583 Slovak
11.99424445 Croat_East

[Dick]

Good ole Davidski. I still remember when he wanted to be classified on skadi

[vbnetkhio]

I really hope these samples were never really taken for granted as valid academic samples, because in many cases just by looking at them they seem very none-Hungarian, or only partially Hungarian. Since nothing is known about to which individuals these samples belong to, the best scientific approach would be to ignore them completely. I already have more than 400 samples that were carefully vetted, to be sure I didn't use any samples that belonged to individuals with at least one none Hungarian grandparent, since 25% other ethnic background can already reflect an unrepresentative result, when my scope was to gain Hungarian ethnic averages.

I'm aware, you checked some of them long ago and told me they don't look like pure Hungarians.

I just ran them out of curisoity, I wanted to see what kind of k13 results hide in those samples.
Now we can say the "population of Budapest" plots in a triangle between West Slavic-like, German-Like and Montenegrin-like samples.

These samples get used in studies to represent the "population of Hungary" (not necessarily ethnically pure Hungarians.)
Also in G25, and any Gedmatch calc, if there's a Hungarian average it's from some of these samples.

[Leto]

I'm aware, you checked some of them long ago and told me they don't look like pure Hungarians.

I just ran them out of curisoity, I wanted to see what kind of k13 results hide in those samples.
Now we can say the "population of Budapest" plots in a triangle between West Slavic-like, German-Like and Montenegrin-like samples.

These samples get used in studies to represent the "population of Hungary" (not necessarily ethnically pure Hungarians.)
And what if you run that data through Dodecad offline? I guess you can do it, Lukasz ran hundreds of West Asian samples in one evening. On Dodecad we have data from Behar, I believe. 19 samples were used for the average.

[Dunai]

I'm aware, you checked some of them long ago and told me they don't look like pure Hungarians.

I just ran them out of curisoity, I wanted to see what kind of k13 results hide in those samples.
Now we can say the "population of Budapest" plots in a triangle between West Slavic-like, German-Like and Montenegrin-like samples.

These samples get used in studies to represent the "population of Hungary" (not necessarily ethnically pure Hungarians.)
Also in G25, and any Gedmatch calc, if there's a Hungarian average it's from some of these samples.

I'm very disappointed to read if indeed anybody in academic circles really draws conclusions about Hungarian genetics based on these samples. Then any of their estimates and conclusions fall apart just by the fact that they looked at unreliable and unrepresentative samples. So far it means only the updated K13 calculator offers proper, reliable Hungarian averages, any other calculator shouldn't be trusted when seeking Hungarian averages.

[paradox]

My dad is close to this sample. Which region is it from?

Distanceto:Father
2.49469437 Hungarian:Hungary_587
5.63937053 Hungarian:Hungary_577
6.43839266 Hungarian:Hungary_578
7.94446348 Hungarian:Hungary_599
8.71335182 Hungarian:Hungary_581


Distanceto:Hungarian:Hungary_587
4.73315962 Montenegrin
4.76376952 Bulgaria_Southwestern
5.04060512 Pomak_Central-Macedonia
5.09632220 Romania_Oltenia
5.13646766 Bosniak_Sandzak
5.26154920 Romania_Wallachia
5.34856990 Romania_Transylvania
5.37145232 Bulgaria_average
5.42657350 Romania_Muntenia
5.44649429 Romania_Dobruja
5.48911650 Romania_average
5.60000893 Romania_Banat
5.61298495 Bulgaria_Northeastern
5.73465779 Bulgaria_Northwestern
5.80758986 Romania_Moldavia_South
5.84314128 Bulgaria_Northcentral
5.85395593 Moldova_South
5.93619407 Bulgaria_Southcentral
5.98983305 Serb_south
6.05734661 Macednia_north
6.19628114Romania_Crisana
6.28150460 MACEDONIAN_AVERAGE
6.75537564 Pomak_Nevrokopi
6.84125811 Macedonia_south
7.06206769 Pomak_Kavala

[Ion Basescul]

I really hope these samples were never really taken for granted as valid academic samples, because in many cases just by looking at them they seem very none-Hungarian, or only partially Hungarian. Since nothing is known about to which individuals these samples belong to, the best scientific approach would be to ignore them completely. I already have more than 400 samples that were carefully vetted, to be sure I didn't use any samples that belonged to individuals with at least one none Hungarian grandparent, since 25% other ethnic background can already reflect an unrepresentative result, when my scope was to gain Hungarian ethnic averages.

Yep, one can't really do worse than go to a major urban centre and collect samples there randomly. It is in the nature of urban environments to have people of all kinds of mixes. The best strat is to pick from the villages, because then you don't have to ask about the history of each individual's family, which I bet the collectors of these samples didn't do.

[Ion Basescul]

the rest cluster together:

Hungarian:hungary11,41.33,29.11,11.15,2.14,11.61,3 .04,0,1.01,0.13,0,0.48,0,0
Hungarian:hungary1,32.78,30.13,15.22,7.34,8.33,0.1 7,3.05,0,2,0.81,0,0,0.12
Hungarian:hungary17,33.8,31.15,13.19,5.97,12.58,0, 0,0.47,1.08,1.38,0.36,0,0
Hungarian:hungary4,29.77,31.31,14.29,10.87,7.91,2. 58,0,0,2.07,1.17,0,0,0
Hungarian:hungary14,32.87,31.77,13.2,5.32,11.64,0, 0.45,0.32,2.04,0.89,0.61,0,0.89
Hungarian:hungary20,34.09,33.09,11.18,5.86,11.16,0 .59,2.31,0,0.46,0.4,0,0.85,0
Hungarian:Hungarian_Zakarpatska,35.53,33.14,13.11, 4.22,8.75,2.07,0.8,1.48,0,0.5,0.41,0,0
Hungarian:hungary10,29.84,35.23,16.33,2.16,13.67,0 .95,0,1.09,0.14,0,0.31,0,0.27
Hungarian:hungary9,28.03,36.07,15.33,4.88,10.41,1. 56,0.39,0.32,1.24,0.49,0.43,0.85,0
Hungarian:hungary7,30.16,37.35,13.79,9.51,5.15,0.9 7,0,2.15,0,0,0.62,0,0.29
Hungarian:Hungarian_a,22.54,38.93,13.43,7.12,11.86 ,2.46,1.16,0.08,2.04,0,0.33,0.05,0
Hungarian:hungary15,33.69,39.26,3.76,2.64,15.83,0. 95,0.53,0.22,1.82,0.85,0,0.44,0
Hungarian:hungary6,24.27,39.67,13.12,3.81,16.8,0,0 .33,0.1,0,1.21,0,0.67,0
Hungarian:hungary13,17.71,39.86,22.6,7.37,6.81,3.1 6,0,0.64,0.75,0,0.98,0.1,0
Hungarian:hungary19,23.58,42.68,10.99,4.47,14.03,0 .88,2.71,0,0.54,0,0.1,0,0
Hungarian:hungary3,18.74,42.81,15.79,5.1,14.37,0,1 .88,0,0.59,0.24,0.05,0.43,0
Hungarian:hungary18,25.64,43.96,11.29,0,16.02,0.45 ,1.08,0.56,0.12,0.89,0,0,0
Hungarian:hungary12,19.14,45.69,16.25,4.95,11.86,0 ,0.17,0,0,1.6,0.34,0,0
Hungarian:hungary2,21.56,45.87,12.38,3.8,13.69,0,0 ,0,1.44,0.66,0.61,0,0
Hungarian:hungary8,17.25,46.64,17.16,1.99,14.93,0, 0.17,0.52,0.16,0.34,0.14,0.67,0
Hungarian:hungary16,22.18,48,9.7,2.97,15.52,0.49,0 ,0.53,0,0,0,0.6,0
Hungarian:hungary5,25.77,49.85,11.82,1.91,8.95,0,0 .22,0,0.33,0.74,0,0,0.39
Hungarian:Hungarian_NA15206,37.35,28.2,13.11,8,10. 02,0,0,2.37,0,0,0.36,0.29,0.31
Hungarian:HungarianE5_Budapest,33.44,31.07,13.01,4 .27,12.36,0.41,1.71,0,1.11,2.39,0.1,0,0.13
Hungarian:HungarianD1_Budapest,25.04,31.37,14.34,8 .72,15,3.19,0,0,0.74,0.74,0.85,0,0
Hungarian:Hungarian_NA15201,29.27,31.51,15.55,7.96 ,10.3,1.02,0.4,0.15,0,1.72,2.08,0,0
Hungarian:Hungarian_NA15207,27.8,31.64,14.1,7.46,1 4.04,0.09,1.88,0,1.96,0.88,0.14,0,0
Hungarian:HungarianH3_Budapest,32.21,32.49,13.55,2 .28,13.93,0,1.86,1.02,0,0.91,0.35,0,1.41
Hungarian:Hungarian_NA15204,30.13,32.74,12.43,3.82 ,14.61,0.92,0,0.87,1.94,0.58,0.26,1.7,0
Hungarian:Hungarian_NA15202,38.62,32.93,11.53,6.65 ,5.83,1.11,0,1.21,0.55,0,0,0,1.57
Hungarian:Hungarian_NA15203,28.86,33.6,15.6,7.78,9 .33,0,0.61,1.56,0.07,1.25,0.06,0.79,0.45
Hungarian:Hungarian1.DG,28.9,33.9,15.47,7.78,9.25, 0,0.55,1.39,0.14,1.31,0.06,0.81,0.44
Hungarian:Hungarian2.DG,28.9,33.9,15.47,7.78,9.25, 0,0.55,1.39,0.14,1.31,0.06,0.81,0.44
Hungarian:Hungarian_NA15199,31.25,34.3,14.49,4.7,1 1.3,0,0.43,0.3,0.7,0,0.6,1.92,0
Hungarian:Hungarian_NA15200,30.73,35.07,15.95,4.15 ,8.78,2.14,0,0,1.44,1.35,0,0,0.38
Hungarian:Hungarian_NA15208,28.7,35.64,13.4,3.22,1 3.82,3.3,0,0,0.93,0.15,0.83,0,0
Hungarian:Hungarian_NA15205,31.69,37.54,12.88,3.48 ,12.11,0.15,0,0,0.73,0.76,0.66,0,0
Hungarian:HungarianC5_Budapest,30.12,37.76,12.92,5 .32,8.43,1.11,3.06,0,0.94,0,0.34,0,0
Hungarian:Hungary_587,25.44,23.04,15.88,10.18,19.0 3,4.90,0.03,0.00,0.00,0.22,1.28,0.00,0.00
Hungarian:Hungary_609,41.90,23.26,12.95,5.41,13.63 ,0.00,0.08,0.00,0.00,2.31,0.46,0.00,0.00
Hungarian:Hungary_577,28.66,26.10,15.11,6.56,16.98 ,3.22,0.06,0.00,2.23,0.00,1.01,0.07,0.00
Hungarian:Hungary_583,34.58,26.83,13.13,7.16,14.11 ,2.52,0.46,1.21,0.00,0.00,0.00,0.00,0.00
Hungarian:Hungary_606,39.22,26.93,16.17,5.92,8.67, 0.06,0.18,0.44,0.17,1.11,0.97,0.00,0.16
Hungarian:Hungary_580,36.93,27.23,13.76,4.00,10.12 ,3.27,1.13,0.73,0.46,1.37,0.94,0.07,0.00
Hungarian:Hungary_596,34.89,27.30,15.57,6.01,9.42, 4.12,0.02,0.00,2.65,0.02,0.00,0.00,0.00
Hungarian:Hungary_603,37.07,27.70,13.37,7.80,12.28 ,0.05,1.02,0.45,0.00,0.26,0.00,0.00,0.00
Hungarian:Hungary_605,33.12,27.83,18.49,4.88,12.65 ,1.23,0.00,0.35,0.00,0.42,0.00,1.02,0.01
Hungarian:Hungary_599,28.04,27.88,12.85,5.42,20.20 ,1.03,0.00,1.98,1.10,0.00,0.00,1.52,0.00
Hungarian:Hungary_578,24.74,28.40,15.72,8.57,16.20 ,2.51,0.73,0.00,0.02,1.93,0.73,0.13,0.32
Hungarian:Hungary_581,29.05,28.59,14.87,7.72,14.30 ,1.27,0.00,2.08,0.45,0.24,0.00,1.43,0.00
Hungarian:Hungary_594,40.07,28.93,12.78,6.11,7.50, 3.31,0.78,0.00,0.00,0.52,0.00,0.00,0.00
Hungarian:Hungary_571,31.77,30.36,15.65,11.49,3.21 ,2.32,2.17,0.70,1.04,0.93,0.00,0.36,0.00
Hungarian:Hungary_600,32.82,30.93,16.74,3.59,8.92, 2.16,3.06,0.03,0.27,1.12,0.00,0.36,0.00
Hungarian:Hungary_610,34.43,31.83,11.49,6.32,10.49 ,1.02,0.01,2.66,1.12,0.04,0.13,0.00,0.47
Hungarian:Hungary_584,35.31,31.95,12.27,6.78,8.75, 1.19,0.02,0.46,1.28,0.50,1.10,0.17,0.22
Hungarian:Hungary_597,29.43,32.13,14.46,8.13,9.66, 2.73,1.01,0.54,1.07,0.01,0.24,0.54,0.06
Hungarian:Hungary_569,27.31,32.72,18.65,6.61,7.73, 2.42,1.06,0.00,2.16,1.26,0.10,0.00,0.00
Hungarian:Hungary_601,24.53,32.73,17.14,7.95,13.86 ,1.27,0.00,0.18,1.55,0.01,0.77,0.00,0.00
Hungarian:Hungary_589,27.11,32.78,11.85,9.82,15.53 ,0.01,0.00,0.45,1.17,1.13,0.00,0.06,0.10
Hungarian:Hungary_576,41.17,33.02,9.23,4.91,3.96,3 .66,2.98,0.02,0.63,0.41,0.00,0.00,0.00
Hungarian:Hungary_575,29.56,33.15,11.91,6.03,11.87 ,3.64,0.02,0.00,1.63,0.15,1.46,0.00,0.57
Hungarian:Hungary_588,29.01,33.25,14.02,9.14,11.98 ,0.02,1.02,0.70,0.13,0.32,0.41,0.00,0.00
Hungarian:Hungary_582,29.49,33.61,13.76,5.17,13.92 ,0.96,0.00,1.54,0.02,1.52,0.00,0.00,0.00
Hungarian:Hungary_574,31.89,33.71,14.75,3.23,10.70 ,0.85,1.15,0.07,2.66,0.71,0.06,0.01,0.21
Hungarian:Hungary_608,30.43,33.86,15.13,6.12,10.69 ,0.84,0.07,0.97,1.43,0.05,0.02,0.42,0.00
Hungarian:Hungary_607,29.47,34.40,11.27,8.77,11.44 ,1.78,0.00,2.47,0.34,0.00,0.01,0.06,0.00
Hungarian:Hungary_592,30.83,34.59,12.40,5.88,10.57 ,2.57,0.78,0.10,1.05,0.43,0.80,0.00,0.00
Hungarian:Hungary_591,35.39,35.07,10.70,3.86,9.15, 2.87,0.51,0.01,0.88,0.97,0.00,0.58,0.01
Hungarian:Hungary_611,28.17,35.42,12.65,10.04,6.67 ,2.71,0.01,0.70,1.61,0.01,2.01,0.00,0.00
Hungarian:Hungary_593,33.96,36.29,13.06,4.93,7.25, 0.00,1.28,1.92,0.79,0.51,0.01,0.00,0.00
Hungarian:Hungary_604,29.94,36.70,12.05,6.50,6.31, 3.27,0.83,0.02,2.22,1.02,0.75,0.40,0.00
Hungarian:Hungary_590,27.26,37.15,13.45,7.60,8.43, 3.73,0.00,0.00,1.35,0.07,0.01,0.00,0.94
Hungarian:Hungary_595,28.29,37.39,11.73,9.79,5.17, 4.01,0.97,0.38,1.57,0.70,0.01,0.00,0.00
Hungarian:Hungary_602,30.06,38.01,12.19,5.00,10.90 ,0.06,2.33,0.71,0.35,0.01,0.37,0.00,0.00
Hungarian:Hungary_586,30.04,39.56,8.92,7.59,7.38,2 .19,0.01,0.04,2.35,1.24,0.00,0.00,0.69
Hungarian:Hungary_579,29.56,45.57,10.25,3.19,9.74, 0.63,0.08,0.00,0.31,0.64,0.02,0.00,0.00

average:
Hungarian_academic,30.19,34.23,13.62,5.95,11.18,1. 42,0.66,0.55,0.85,0.63,0.34,0.24,0.14

compare with "real" Hungarian results:
https://www.theapricity.com/forum/showthread.php?322006-The-most-ultimate-Hungarian-K13-database-thus-far

By the way, that is a very diverse dataset. In cases like this where the data is skewed, the median is preferred instead of the mean (average).

"The median is usually preferred to other measures of central tendency when your data set is skewed (i.e., forms a skewed distribution) or you are dealing with ordinal data."
"The mean is usually the best measure of central tendency to use when your data distribution is continuous and symmetrical, such as when your data is normally distributed."
Source (https://statistics.laerd.com/statistical-guides/measures-central-tendency-mean-mode-median-faqs.php)

Median of the above
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


29.89
33.20
13.39
5.95
11.03
1.02
0.28
0.31
0.72
0.51
0.12
0.00
0.00

</tbody>
</google-sheets-html-origin>

[vbnetkhio]

My dad is close to this sample. Which region is it from?

Distanceto:Father
2.49469437 Hungarian:Hungary_587
5.63937053 Hungarian:Hungary_577
6.43839266 Hungarian:Hungary_578
7.94446348 Hungarian:Hungary_599
8.71335182 Hungarian:Hungary_581


Distanceto:Hungarian:Hungary_587
4.73315962 Montenegrin
4.76376952 Bulgaria_Southwestern
5.04060512 Pomak_Central-Macedonia
5.09632220 Romania_Oltenia
5.13646766 Bosniak_Sandzak
5.26154920 Romania_Wallachia
5.34856990 Romania_Transylvania
5.37145232 Bulgaria_average
5.42657350 Romania_Muntenia
5.44649429 Romania_Dobruja
5.48911650 Romania_average
5.60000893 Romania_Banat
5.61298495 Bulgaria_Northeastern
5.73465779 Bulgaria_Northwestern
5.80758986 Romania_Moldavia_South
5.84314128 Bulgaria_Northcentral
5.85395593 Moldova_South
5.93619407 Bulgaria_Southcentral
5.98983305 Serb_south
6.05734661 Macednia_north
6.19628114Romania_Crisana
6.28150460 MACEDONIAN_AVERAGE
6.75537564 Pomak_Nevrokopi
6.84125811 Macedonia_south
7.06206769 Pomak_Kavala

They are all sampled in Budapest. I think this one most likely a Szekely or Csango Hungarian with Romanian admixture which results in a Montenegrin-like result.

[paradox]

They are all sampled in Budapest. I think this one most likely a Szekely or Csango Hungarian with Romanian admixture which results in a Montenegrin-like result.Thank you, this makes sense.

[Chris596]

Seem I'm miles away from you guys my Magyar friends XD RIP genetics

Don't worry I'm there with you xD Balkan nibbas together


PCA of these samples with Hungarian member results:
https://i.imgur.com/txX7RN8.png

I've also marked the edge-lying academic samples and which ethnicity they plot closest to.

So based on this PCA, Universe is the most northern and eastern shifted Hungarian, right? Egyvalaki is the most western (I don't know why because I don't know his/her background).

And I'm the most southern and still the second most eastern shifted Hungarian (as ethnically almost full Hungarian).

[vbnetkhio]

Don't worry I'm there with you xD Balkan nibbas together



So based on this PCA, Universe is the most northern and eastern shifted Hungarian, right? Egyvalaki is the most western (I don't know why because I don't know his/her background).

And I'm the most southern and still the second most eastern shifted Hungarian (as ethnically almost full Hungarian).

i have removed the CA samples:
https://i.imgur.com/tE4tujy.png

yeah, there are basically 3 influences, Balkanic, Slavic, and Germanic.
and the academic samples aren't so bad after all. I'm sure there's a lot of non-Hungarian admixture in them, but it's from neighbouring peoples who are genetically similar (except the 3 outliers) , so they all still pass as Hungarians.

[Gergő Marosvári]

Wow! I am so thankful for that! Loved this calculator!

Distance to: Gergő
3.49087382 Hungarian:Hungary_602
3.97790146 Hungarian:HungarianC5_Budapest
4.27545319 Hungarian:hungary9
5.18410069 Hungarian:Hungarian1.DG
5.18410069 Hungarian:Hungarian2.DG
5.35018691 Hungarian:Hungarian_NA15203
5.43021178 Hungarian:Hungary_608
5.45194461 Hungarian:Hungary_588
5.45654653 Hungarian:Hungary_592
5.65312303 Hungarian:Hungarian_NA15199
5.87132012 Hungarian:Hungary_590
6.07095544 Hungarian:Hungarian_NA15205
6.20606155 Hungarian:Hungary_582
6.36290814 Hungarian:Hungary_607
6.41155207 Hungarian:Hungarian_NA15200
6.54880142 Hungarian:Hungary_597
6.59219235 Hungarian:Hungarian_NA15208
6.77194211 Hungarian:Hungarian_NA15207
6.78093651 Hungarian:Hungary_574
6.93299358 Hungarian:Hungary_575
6.93917863 Hungarian:hungary10
7.11492797 Hungarian:Hungary_604
7.20245097 Hungarian:Hungarian_NA15201
7.31218845 Hungarian:Hungarian_a
7.58114108 Hungarian:Hungary_593

Target: Gergő
Distance: 1.6028% / 1.60282148
25.0 Hungarian:Hungary_602
19.4 Hungarian:hungary3
11.9 Hungarian:hungary1
11.0 Hungarian:HungarianC5_Budapest
10.8 Hungarian:HungarianH3_Budapest
10.5 Hungarian:Hungary_571
6.9 Hungarian:hungary19
4.5 Hungarian:Hungary_588

[Ajeje Brazorf]

Averaging done using only the samples of the Global25 average:


Hungarian:HungarianC5,30.12,37.76,12.92,5.32,8.43, 1.11,3.06,0,0.94,0,0.34,0,0
Hungarian:HungarianD1,25.04,31.37,14.34,8.72,15,3. 19,0,0,0.74,0.74,0.85,0,0
Hungarian:HungarianE5,33.44,31.07,13.01,4.27,12.36 ,0.41,1.71,0,1.11,2.39,0.1,0,0.13
Hungarian:HungarianH3,32.21,32.49,13.55,2.28,13.93 ,0,1.86,1.02,0,0.91,0.35,0,1.41
Hungarian:NA15199,31.25,34.3,14.49,4.7,11.3,0,0.43 ,0.3,0.7,0,0.6,1.92,0
Hungarian:NA15200,30.73,35.07,15.95,4.15,8.78,2.14 ,0,0,1.44,1.35,0,0,0.38
Hungarian:NA15201,29.27,31.51,15.55,7.96,10.3,1.02 ,0.4,0.15,0,1.72,2.08,0,0
Hungarian:NA15202,38.62,32.93,11.53,6.65,5.83,1.11 ,0,1.21,0.55,0,0,0,1.57
Hungarian:NA15203,28.86,33.6,15.6,7.78,9.33,0,0.61 ,1.56,0.07,1.25,0.06,0.79,0.45
Hungarian:NA15204,30.13,32.74,12.43,3.82,14.61,0.9 2,0,0.87,1.94,0.58,0.26,1.7,0
Hungarian:NA15205,31.69,37.54,12.88,3.48,12.11,0.1 5,0,0,0.73,0.76,0.66,0,0
Hungarian:NA15206,37.35,28.2,13.11,8,10.02,0,0,2.3 7,0,0,0.36,0.29,0.31
Hungarian:NA15207,27.8,31.64,14.1,7.46,14.04,0.09, 1.88,0,1.96,0.88,0.14,0,0
Hungarian:NA15208,28.7,35.64,13.4,3.22,13.82,3.3,0 ,0,0.93,0.15,0.83,0,0


Hungarian,31.0864286,33.2757143,13.7757143,5.55785 71,11.4185714,0.96,0.7107143,0.5342857,0.7935714,0 .7664286,0.4735714,0.3357143,0.3035714

Global25 average vs academic average:


Distance to: Hungarian_Global25
1.49638188 Hungarian_academic

Distance to: Hungarian_Global25
2.25655907 Hungarian
2.56273319 Slovenian
2.62269249 Hungarian_Transdanubia+Budapest
2.63942664 Croat_North
2.75688520 Hungarian_Alföld
2.76453072 Hungarian_Northern
4.02831963 Croat
4.46387906 Croat_West

Distance to: Hungarian_academic
1.80197114 Croat_North
1.82266289 Hungarian_Northern
2.29986956 Hungarian_Alföld
2.33719918 Hungarian
2.44732507 Slovenian
2.88882329 Hungarian_Transdanubia+Budapest
3.42388668 Croat
4.32872961 Croat_East
4.46604971 Croat_West
4.49001114 Slovak

Global25 vs Eurogenes K13:


Distance to: Hungarian:HungarianC5
0.02536052 Czech
0.02610256 German_East
0.02646461 Slovenian
0.02721567 Hungarian
0.02973886 Croatian

Target: Hungarian:HungarianC5
Distance: 0.0204% / 0.02037280 | R2P
68.0 Slovenian
32.0 Russian_Smolensk

Distance to: Hungarian:HungarianC5
2.65397815 Slovak
3.78965698 Hungarian_Northern
4.33196260 Czech
4.35639759 Ukrainian_Galicia
4.82029045 Ukrainian_Carpathian

Target: Hungarian:HungarianC5
Distance: 2.1015% / 2.10146887 | R2P
56.6 Czech
43.4 Ukrainian_Ivano_Frankivsk

Distance to: Hungarian:HungarianD1
0.02622250 Moldovan
0.02838651 Serbian
0.02939077 Croatian
0.03027033 Bosnian
0.03237565 Slovenian

Target: Hungarian:HungarianD1
Distance: 0.0253% / 0.02531622 | R2P
51.1 Italian_Lombardy
48.9 Russian_Smolensk

Distance to: Hungarian:HungarianD1
2.59433999 Romania_Moldavia_North
2.64232852 Bosniak
3.01613992 Serb_north
3.18982758 Croat_South
3.25295251 Moldova_Centre

Target: Hungarian:HungarianD1
Distance: 1.3386% / 1.33861775 | R2P
57.2 Russian_Smolensk
42.8 IT_Molise

Distance to: Hungarian:HungarianE5
0.02259170 Hungarian
0.02292858 Austrian
0.02738285 Croatian
0.02768282 Slovenian
0.03011898 German_East

Target: Hungarian:HungarianE5
Distance: 0.0172% / 0.01716023 | R2P
97.6 Austrian
2.4 Mixtec

Distance to: Hungarian:HungarianE5
5.40922360 Hungarian_Transdanubia+Budapest
5.47717993 Hungarian
5.96291875 Slovenian
6.34879516 Hungarian_Alföld
6.41978972 Hungarian_Northern

Target: Hungarian:HungarianE5
Distance: 3.8028% / 3.80279965 | R2P
63.2 Sorb_Lusatia
36.8 Swiss_Italian

Distance to: Hungarian:HungarianH3
0.02403793 Hungarian
0.02803576 Croatian
0.02863412 Czech
0.03023547 Slovenian
0.03255503 Austrian

Target: Hungarian:HungarianH3
Distance: 0.0227% / 0.02272265 | R2P
98.4 Hungarian
1.6 Juang

Distance to: Hungarian:HungarianH3
6.75413947 Hungarian
6.79722002 Hungarian_Northern
6.80230108 Slovenian
7.02684851 Hungarian_Transdanubia+Budapest
7.16923287 Hungarian_Alföld

Target: Hungarian:HungarianH3
Distance: 4.3914% / 4.39139443 | R2P
50.5 Belorussian
49.5 Swiss_Italian

Distance to: Hungarian:NA15199
0.02229281 Hungarian
0.02621989 Croatian
0.02809250 Austrian
0.03023531 Slovenian
0.03075211 Czech

Target: Hungarian:NA15199
Distance: 0.0220% / 0.02204178 | R2P
96.5 Hungarian
3.5 Spanish_Canarias

Distance to: Hungarian:NA15199
3.28695908 Slovenian
3.41830367 Hungarian_Northern
3.70523953 Croat_North
4.01464818 Hungarian
4.19903560 Hungarian_Alföld

Target: Hungarian:NA15199
Distance: 2.6720% / 2.67201645 | R2P
91.4 Hungarian_Northern
8.6 Swiss_Italian

Distance to: Hungarian:NA15200
0.02547273 Hungarian
0.02555394 Czech
0.02670072 Slovakian
0.02902840 Croatian
0.03092267 Slovenian

Target: Hungarian:NA15200
Distance: 0.0212% / 0.02119188 | R2P
84.7 Slovakian
15.3 Spanish_La_Rioja

Distance to: Hungarian:NA15200
3.67789342 Slovenian
4.01766101 Croat_North
4.19306570 Hungarian_Northern
4.71471102 Slovak
4.83202856 Hungarian_Alföld

Target: Hungarian:NA15200
Distance: 1.7686% / 1.76858716 | R2P
52.1 IT_Piedmont
47.9 Latvian

Distance to: Hungarian:NA15201
0.01941766 Hungarian
0.02163420 Croatian
0.02292844 Slovenian
0.02331652 Austrian
0.02701366 Moldovan

Target: Hungarian:NA15201
Distance: 0.0183% / 0.01830707 | R2P
51.1 German_East
48.9 Montenegrin

Distance to: Hungarian:NA15201
3.16379519 Hungarian_Alföld
3.33318166 Hungarian
3.50231352 Croat
3.73016085 Hungarian_Transdanubia+Budapest
3.85102584 Croat_West

Target: Hungarian:NA15201
Distance: 2.4861% / 2.48606418 | R2P
61.8 Serb_north
38.2 German_East

Distance to: Hungarian:NA15202
0.02531428 German
0.02624488 German_East
0.02748884 Czech
0.02785121 Hungarian
0.02825874 Dutch

Target: Hungarian:NA15202
Distance: 0.0190% / 0.01904611 | R2P
69.3 Afrikaner
30.7 Russian_Voronez

Distance to: Hungarian:NA15202
3.75823097 German_East
5.61333234 Austrian
7.17175711 Czech
7.45009396 German
8.95275377 Slovenian

Target: Hungarian:NA15202
Distance: 2.6539% / 2.65387004 | R2P
61.9 Slovenian
38.1 Norwegian

Distance to: Hungarian:NA15203
0.01878921 Hungarian
0.01920433 Croatian
0.01992916 Slovenian
0.02547373 Czech
0.02791841 German_East

Target: Hungarian:NA15203
Distance: 0.0165% / 0.01650480 | R2P
63.1 Belarusian
36.9 Italian_Lombardy

Distance to: Hungarian:NA15203
2.90210269 Hungarian_Alföld
3.01292217 Croat_North
3.48165191 Hungarian
3.68461667 Croat
3.78861452 Slovenian

Target: Hungarian:NA15203
Distance: 2.7187% / 2.71871898 | R2P
70.5 Slovenian
29.5 Moldova_North

Distance to: Hungarian:NA15204
0.02094252 Croatian
0.02184669 Hungarian
0.02405069 Slovenian
0.02629498 Moldovan
0.02750692 Bosnian

Target: Hungarian:NA15204
Distance: 0.0140% / 0.01400377 | R2P
59.4 Estonian
40.6 Sicilian_East

Distance to: Hungarian:NA15204
5.80167217 Croat_West
5.98433789 Hungarian
6.00376549 Hungarian_Alföld
6.14852015 Hungarian_Northern
6.18367205 Croat

Target: Hungarian:NA15204
Distance: 3.8288% / 3.82883375 | R2P
64.7 Southwest_Finnish
35.3 Moldova_Jewish

Distance to: Hungarian:NA15205
0.02636704 Hungarian
0.02856063 German_East
0.02871964 Slovenian
0.02927002 Czech
0.03058604 Croatian

Target: Hungarian:NA15205
Distance: 0.0237% / 0.02374193 | R2P
75.6 Austrian
24.4 Lithuanian_RA

Distance to: Hungarian:NA15205
4.49046768 Hungarian_Northern
5.28319979 Slovak
5.47609350 Slovenian
5.82658562 Croat_North
6.17520040 Czech

Target: Hungarian:NA15205
Distance: 3.0511% / 3.05112980 | R2P
63.4 Belorussian
36.6 Swiss_Italian

Distance to: Hungarian:NA15206
0.02488815 German
0.02530906 Austrian
0.02744828 Hungarian
0.03025937 Afrikaner
0.03059450 French_Alsace

Target: Hungarian:NA15206
Distance: 0.0211% / 0.02109962 | R2P
78.0 French_Alsace
22.0 Ingrian

Distance to: Hungarian:NA15206
4.16478091 Austrian
7.12081456 German
7.97847730 France_Alsace
8.02259310 Hungarian_Transdanubia+Budapest
8.35578841 German_East

Target: Hungarian:NA15206
Distance: 3.0674% / 3.06736987 | R2P
54.1 German_West
45.9 Croat_West

Distance to: Hungarian:NA15207
0.02947448 Bosnian
0.03042863 Croatian
0.03153865 Hungarian
0.03325098 Austrian
0.03405457 Moldovan

Target: Hungarian:NA15207
Distance: 0.0230% / 0.02301280 | R2P
55.3 Macedonian
44.7 Cossack_Kuban

Distance to: Hungarian:NA15207
2.95132174 Croat_West
3.54355753 Croat_South
3.61492739 Croat
3.95570474 Székely
4.19597426 Hungarian_Transylvania

Target: Hungarian:NA15207
Distance: 1.9526% / 1.95259656 | R2P
74.5 Hungarian_Northern
25.5 Greek_Northern-Thrace

Distance to: Hungarian:NA15208
0.02586799 Hungarian
0.02777856 Croatian
0.02801647 Slovenian
0.03048814 Bosnian
0.03065325 Czech

Target: Hungarian:NA15208
Distance: 0.0240% / 0.02400478 | R2P
59.8 Czech
40.2 Serbian

Distance to: Hungarian:NA15208
5.74576366 Ukrainian_Ivano_Frankivsk
5.80299922 Hungarian_Northern
6.07453702 Croat_East
6.11163644 Croat
6.15952920 Croat_North

Target: Hungarian:NA15208
Distance: 3.9887% / 3.98866298 | R2P
85.2 Ukrainian_Ivano_Frankivsk
14.8 Swiss_Italian

[vbnetkhio]

Averaging done using only the samples of the Global25 average:


Hungarian:HungarianC5,30.12,37.76,12.92,5.32,8.43, 1.11,3.06,0,0.94,0,0.34,0,0
Hungarian:HungarianD1,25.04,31.37,14.34,8.72,15,3. 19,0,0,0.74,0.74,0.85,0,0
Hungarian:HungarianE5,33.44,31.07,13.01,4.27,12.36 ,0.41,1.71,0,1.11,2.39,0.1,0,0.13
Hungarian:HungarianH3,32.21,32.49,13.55,2.28,13.93 ,0,1.86,1.02,0,0.91,0.35,0,1.41
Hungarian:NA15199,31.25,34.3,14.49,4.7,11.3,0,0.43 ,0.3,0.7,0,0.6,1.92,0
Hungarian:NA15200,30.73,35.07,15.95,4.15,8.78,2.14 ,0,0,1.44,1.35,0,0,0.38
Hungarian:NA15201,29.27,31.51,15.55,7.96,10.3,1.02 ,0.4,0.15,0,1.72,2.08,0,0
Hungarian:NA15202,38.62,32.93,11.53,6.65,5.83,1.11 ,0,1.21,0.55,0,0,0,1.57
Hungarian:NA15203,28.86,33.6,15.6,7.78,9.33,0,0.61 ,1.56,0.07,1.25,0.06,0.79,0.45
Hungarian:NA15204,30.13,32.74,12.43,3.82,14.61,0.9 2,0,0.87,1.94,0.58,0.26,1.7,0
Hungarian:NA15205,31.69,37.54,12.88,3.48,12.11,0.1 5,0,0,0.73,0.76,0.66,0,0
Hungarian:NA15206,37.35,28.2,13.11,8,10.02,0,0,2.3 7,0,0,0.36,0.29,0.31
Hungarian:NA15207,27.8,31.64,14.1,7.46,14.04,0.09, 1.88,0,1.96,0.88,0.14,0,0
Hungarian:NA15208,28.7,35.64,13.4,3.22,13.82,3.3,0 ,0,0.93,0.15,0.83,0,0


Hungarian,31.0864286,33.2757143,13.7757143,5.55785 71,11.4185714,0.96,0.7107143,0.5342857,0.7935714,0 .7664286,0.4735714,0.3357143,0.3035714

Global25 average vs academic average:


Distance to: Hungarian_Global25
1.49638188 Hungarian_academic

Distance to: Hungarian_Global25
2.25655907 Hungarian
2.56273319 Slovenian
2.62269249 Hungarian_Transdanubia+Budapest
2.63942664 Croat_North
2.75688520 Hungarian_Alföld
2.76453072 Hungarian_Northern
4.02831963 Croat
4.46387906 Croat_West

Distance to: Hungarian_academic
1.80197114 Croat_North
1.82266289 Hungarian_Northern
2.29986956 Hungarian_Alföld
2.33719918 Hungarian
2.44732507 Slovenian
2.88882329 Hungarian_Transdanubia+Budapest
3.42388668 Croat
4.32872961 Croat_East
4.46604971 Croat_West
4.49001114 Slovak

Global25 vs Eurogenes K13:


Distance to: Hungarian:HungarianC5
0.02536052 Czech
0.02610256 German_East
0.02646461 Slovenian
0.02721567 Hungarian
0.02973886 Croatian

Target: Hungarian:HungarianC5
Distance: 0.0204% / 0.02037280 | R2P
68.0 Slovenian
32.0 Russian_Smolensk

Distance to: Hungarian:HungarianC5
2.65397815 Slovak
3.78965698 Hungarian_Northern
4.33196260 Czech
4.35639759 Ukrainian_Galicia
4.82029045 Ukrainian_Carpathian

Target: Hungarian:HungarianC5
Distance: 2.1015% / 2.10146887 | R2P
56.6 Czech
43.4 Ukrainian_Ivano_Frankivsk

Distance to: Hungarian:HungarianD1
0.02622250 Moldovan
0.02838651 Serbian
0.02939077 Croatian
0.03027033 Bosnian
0.03237565 Slovenian

Target: Hungarian:HungarianD1
Distance: 0.0253% / 0.02531622 | R2P
51.1 Italian_Lombardy
48.9 Russian_Smolensk

Distance to: Hungarian:HungarianD1
2.59433999 Romania_Moldavia_North
2.64232852 Bosniak
3.01613992 Serb_north
3.18982758 Croat_South
3.25295251 Moldova_Centre

Target: Hungarian:HungarianD1
Distance: 1.3386% / 1.33861775 | R2P
57.2 Russian_Smolensk
42.8 IT_Molise

Distance to: Hungarian:HungarianE5
0.02259170 Hungarian
0.02292858 Austrian
0.02738285 Croatian
0.02768282 Slovenian
0.03011898 German_East

Target: Hungarian:HungarianE5
Distance: 0.0172% / 0.01716023 | R2P
97.6 Austrian
2.4 Mixtec

Distance to: Hungarian:HungarianE5
5.40922360 Hungarian_Transdanubia+Budapest
5.47717993 Hungarian
5.96291875 Slovenian
6.34879516 Hungarian_Alföld
6.41978972 Hungarian_Northern

Target: Hungarian:HungarianE5
Distance: 3.8028% / 3.80279965 | R2P
63.2 Sorb_Lusatia
36.8 Swiss_Italian

Distance to: Hungarian:HungarianH3
0.02403793 Hungarian
0.02803576 Croatian
0.02863412 Czech
0.03023547 Slovenian
0.03255503 Austrian

Target: Hungarian:HungarianH3
Distance: 0.0227% / 0.02272265 | R2P
98.4 Hungarian
1.6 Juang

Distance to: Hungarian:HungarianH3
6.75413947 Hungarian
6.79722002 Hungarian_Northern
6.80230108 Slovenian
7.02684851 Hungarian_Transdanubia+Budapest
7.16923287 Hungarian_Alföld

Target: Hungarian:HungarianH3
Distance: 4.3914% / 4.39139443 | R2P
50.5 Belorussian
49.5 Swiss_Italian

Distance to: Hungarian:NA15199
0.02229281 Hungarian
0.02621989 Croatian
0.02809250 Austrian
0.03023531 Slovenian
0.03075211 Czech

Target: Hungarian:NA15199
Distance: 0.0220% / 0.02204178 | R2P
96.5 Hungarian
3.5 Spanish_Canarias

Distance to: Hungarian:NA15199
3.28695908 Slovenian
3.41830367 Hungarian_Northern
3.70523953 Croat_North
4.01464818 Hungarian
4.19903560 Hungarian_Alföld

Target: Hungarian:NA15199
Distance: 2.6720% / 2.67201645 | R2P
91.4 Hungarian_Northern
8.6 Swiss_Italian

Distance to: Hungarian:NA15200
0.02547273 Hungarian
0.02555394 Czech
0.02670072 Slovakian
0.02902840 Croatian
0.03092267 Slovenian

Target: Hungarian:NA15200
Distance: 0.0212% / 0.02119188 | R2P
84.7 Slovakian
15.3 Spanish_La_Rioja

Distance to: Hungarian:NA15200
3.67789342 Slovenian
4.01766101 Croat_North
4.19306570 Hungarian_Northern
4.71471102 Slovak
4.83202856 Hungarian_Alföld

Target: Hungarian:NA15200
Distance: 1.7686% / 1.76858716 | R2P
52.1 IT_Piedmont
47.9 Latvian

Distance to: Hungarian:NA15201
0.01941766 Hungarian
0.02163420 Croatian
0.02292844 Slovenian
0.02331652 Austrian
0.02701366 Moldovan

Target: Hungarian:NA15201
Distance: 0.0183% / 0.01830707 | R2P
51.1 German_East
48.9 Montenegrin

Distance to: Hungarian:NA15201
3.16379519 Hungarian_Alföld
3.33318166 Hungarian
3.50231352 Croat
3.73016085 Hungarian_Transdanubia+Budapest
3.85102584 Croat_West

Target: Hungarian:NA15201
Distance: 2.4861% / 2.48606418 | R2P
61.8 Serb_north
38.2 German_East

Distance to: Hungarian:NA15202
0.02531428 German
0.02624488 German_East
0.02748884 Czech
0.02785121 Hungarian
0.02825874 Dutch

Target: Hungarian:NA15202
Distance: 0.0190% / 0.01904611 | R2P
69.3 Afrikaner
30.7 Russian_Voronez

Distance to: Hungarian:NA15202
3.75823097 German_East
5.61333234 Austrian
7.17175711 Czech
7.45009396 German
8.95275377 Slovenian

Target: Hungarian:NA15202
Distance: 2.6539% / 2.65387004 | R2P
61.9 Slovenian
38.1 Norwegian

Distance to: Hungarian:NA15203
0.01878921 Hungarian
0.01920433 Croatian
0.01992916 Slovenian
0.02547373 Czech
0.02791841 German_East

Target: Hungarian:NA15203
Distance: 0.0165% / 0.01650480 | R2P
63.1 Belarusian
36.9 Italian_Lombardy

Distance to: Hungarian:NA15203
2.90210269 Hungarian_Alföld
3.01292217 Croat_North
3.48165191 Hungarian
3.68461667 Croat
3.78861452 Slovenian

Target: Hungarian:NA15203
Distance: 2.7187% / 2.71871898 | R2P
70.5 Slovenian
29.5 Moldova_North

Distance to: Hungarian:NA15204
0.02094252 Croatian
0.02184669 Hungarian
0.02405069 Slovenian
0.02629498 Moldovan
0.02750692 Bosnian

Target: Hungarian:NA15204
Distance: 0.0140% / 0.01400377 | R2P
59.4 Estonian
40.6 Sicilian_East

Distance to: Hungarian:NA15204
5.80167217 Croat_West
5.98433789 Hungarian
6.00376549 Hungarian_Alföld
6.14852015 Hungarian_Northern
6.18367205 Croat

Target: Hungarian:NA15204
Distance: 3.8288% / 3.82883375 | R2P
64.7 Southwest_Finnish
35.3 Moldova_Jewish

Distance to: Hungarian:NA15205
0.02636704 Hungarian
0.02856063 German_East
0.02871964 Slovenian
0.02927002 Czech
0.03058604 Croatian

Target: Hungarian:NA15205
Distance: 0.0237% / 0.02374193 | R2P
75.6 Austrian
24.4 Lithuanian_RA

Distance to: Hungarian:NA15205
4.49046768 Hungarian_Northern
5.28319979 Slovak
5.47609350 Slovenian
5.82658562 Croat_North
6.17520040 Czech

Target: Hungarian:NA15205
Distance: 3.0511% / 3.05112980 | R2P
63.4 Belorussian
36.6 Swiss_Italian

Distance to: Hungarian:NA15206
0.02488815 German
0.02530906 Austrian
0.02744828 Hungarian
0.03025937 Afrikaner
0.03059450 French_Alsace

Target: Hungarian:NA15206
Distance: 0.0211% / 0.02109962 | R2P
78.0 French_Alsace
22.0 Ingrian

Distance to: Hungarian:NA15206
4.16478091 Austrian
7.12081456 German
7.97847730 France_Alsace
8.02259310 Hungarian_Transdanubia+Budapest
8.35578841 German_East

Target: Hungarian:NA15206
Distance: 3.0674% / 3.06736987 | R2P
54.1 German_West
45.9 Croat_West

Distance to: Hungarian:NA15207
0.02947448 Bosnian
0.03042863 Croatian
0.03153865 Hungarian
0.03325098 Austrian
0.03405457 Moldovan

Target: Hungarian:NA15207
Distance: 0.0230% / 0.02301280 | R2P
55.3 Macedonian
44.7 Cossack_Kuban

Distance to: Hungarian:NA15207
2.95132174 Croat_West
3.54355753 Croat_South
3.61492739 Croat
3.95570474 Székely
4.19597426 Hungarian_Transylvania

Target: Hungarian:NA15207
Distance: 1.9526% / 1.95259656 | R2P
74.5 Hungarian_Northern
25.5 Greek_Northern-Thrace

Distance to: Hungarian:NA15208
0.02586799 Hungarian
0.02777856 Croatian
0.02801647 Slovenian
0.03048814 Bosnian
0.03065325 Czech

Target: Hungarian:NA15208
Distance: 0.0240% / 0.02400478 | R2P
59.8 Czech
40.2 Serbian

Distance to: Hungarian:NA15208
5.74576366 Ukrainian_Ivano_Frankivsk
5.80299922 Hungarian_Northern
6.07453702 Croat_East
6.11163644 Croat
6.15952920 Croat_North

Target: Hungarian:NA15208
Distance: 3.9887% / 3.98866298 | R2P
85.2 Ukrainian_Ivano_Frankivsk
14.8 Swiss_Italian

average without the 3 outliers, 2 duplicates and 10 samples with CE:


Hungarian,31.57,32.63,13.49,6.25,10.91,1.61,0.66,0 .57,0.94,0.62,0.37,0.22,0.15

very similar.

[Ajeje Brazorf]

average without the 3 outliers, 2 duplicates and 10 samples with CE:


Hungarian,31.57,32.63,13.49,6.25,10.91,1.61,0.66,0 .57,0.94,0.62,0.37,0.22,0.15

very similar.

What do you think about the difference in Hungarian samples between Eurogenes K13 and Global25? In your opinion, on Global25 what is the maximum distance between an individual sample and an average to qualify as native?

[vbnetkhio]

What do you think about the difference in Hungarian samples between Eurogenes K13 and Global25? In your opinion, on Global25 what is the maximum distance between an individual sample and an average to qualify as native?

some differences are because of the different samples used for the averages.
all k13 averages are from 10-20 or more samples, while some in g25 are from only 1-5, so k13 is better in this regard.

but there are also differences caused by the calculator itself. like this one:

Target: Hungarian:HungarianD1
Distance: 0.0253% / 0.02531622 | R2P
51.1 Italian_Lombardy
48.9 Russian_Smolensk

Target: Hungarian:HungarianD1
Distance: 1.3386% / 1.33861775 | R2P
57.2 Russian_Smolensk
42.8 IT_Molise

this can't be caused by sample choice, Lombardy and Molise are just too different. G25 is the better calculator here ofc, but the averages are lacking.


In your opinion, on Global25 what is the maximum distance between an individual sample and an average to qualify as native?
it can't be defined. different populations have different ranges. the only way to tell is to plot the samples on a PCA and check for obvious outliers.

but you need a very large sample size to do this properly. I had a Cretan k13 sample which looked like an obvious outlier, but now when I collected more than 100 Cretan samples, it turned out it's completely within the normal range.

[Gergő Marosvári]

Hey! Can someone add me to that PCA in the beginning of this thread? I am very curious where my DNA place in that PCA.

My K13 %:

Admix Results (sorted):

# Population Percent
1 Baltic 38.01
2 North_Atlantic 25.7
3 West_Med 14.2
4 East_Med 10.51
5 West_Asian 5.76
6 South_Asian 3.89
7 Siberian 0.71
8 East_Asian 0.58
9 Sub-Saharan 0.57
10 Red_Sea 0.07

[vbnetkhio]

Hey! Can someone add me to that PCA in the beginning of this thread? I am very curious where my DNA place in that PCA.

My K13 %:

Admix Results (sorted):

# Population Percent
1 Baltic 38.01
2 North_Atlantic 25.7
3 West_Med 14.2
4 East_Med 10.51
5 West_Asian 5.76
6 South_Asian 3.89
7 Siberian 0.71
8 East_Asian 0.58
9 Sub-Saharan 0.57
10 Red_Sea 0.07
here you go
https://i.imgur.com/q9TzWVz.png

[17571imre]

here you go
https://i.imgur.com/q9TzWVz.png


(3/4Hungarian)imre,31.13,26.86,16.71,7.33,13.83,1.21, 0.74,0.27,1.22,0.14,0.56,0,0

can you add me too

[vbnetkhio]

(3/4Hungarian)imre,31.13,26.86,16.71,7.33,13.83,1.21, 0.74,0.27,1.22,0.14,0.56,0,0

can you add me too

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

[VarangianRUs]

Hi ! iam from Budapest i want to see where iam in this PCA Thank you :)

my K13 result

Population
North_Atlantic 31.21 Pct
Baltic 35.45 Pct
West_Med 12.53 Pct
West_Asian 6.91 Pct
East_Med 6.79 Pct
Red_Sea 1.82 Pct
South_Asian 2.12 Pct
East_Asian -
Siberian 2.02 Pct
Amerindian 0.33 Pct
Oceanian 0.82 Pct
Northeast_African -
Sub-Saharan -

[vbnetkhio]

Hi ! iam from Budapest i want to see where iam in this PCA Thank you :)

my K13 result

Population
North_Atlantic 31.21 Pct
Baltic 35.45 Pct
West_Med 12.53 Pct
West_Asian 6.91 Pct
East_Med 6.79 Pct
Red_Sea 1.82 Pct
South_Asian 2.12 Pct
East_Asian -
Siberian 2.02 Pct
Amerindian 0.33 Pct
Oceanian 0.82 Pct
Northeast_African -
Sub-Saharan -

https://i.imgur.com/ZOO6JzA.png

[Gergő Marosvári]

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

I seriously have to apply for the Ukrainian citizenship... :cool:

[Scandal]

I seriously have to apply for the Ukrainian citizenship... :cool:

You're still closer to Hungarian avarage than to Ukrainian, Ukraine_ivano_frankivsk is an outlier in Ukraine, they don't represent all of Ukraine well.

Distance to: GergőMarosvári(Hungarian)
3.28872316 Ukrainian_Ivano_Frankivsk
3.79164872 Ukrainian_Carpathian
5.72508515 Ukrainian_Galicia
6.24145015 Croat_East
6.25641271 Hungarian_Northern
6.73818967 Slovak
6.92441333 Croat_North
6.97252465 Moldova_Ukrainian
7.10831907 Croat
7.26186615 Moldova_North
7.29980822 Hungarian_Alföld
7.81071060 Slovenian
8.09069218 Hungarian
8.19904873 Bosniak
8.49395668 Croat_South
8.63998843 Croat_West
8.69606233 Hungarian_Transdanubia+Budapest
8.83994344 South_Polish
9.29654237 Czech
9.98913910 Ukrainian

[Gergő Marosvári]

You're still closer to Hungarian avarage than to Ukrainian, Ukraine_ivano_frankivsk is an outlier in Ukraine, they don't represent all of Ukraine well.

Distance to: GergőMarosvári(Hungarian)
3.28872316 Ukrainian_Ivano_Frankivsk
3.79164872 Ukrainian_Carpathian
5.72508515 Ukrainian_Galicia
6.24145015 Croat_East
6.25641271 Hungarian_Northern
6.73818967 Slovak
6.92441333 Croat_North
6.97252465 Moldova_Ukrainian
7.10831907 Croat
7.26186615 Moldova_North
7.29980822 Hungarian_Alföld
7.81071060 Slovenian
8.09069218 Hungarian
8.19904873 Bosniak
8.49395668 Croat_South
8.63998843 Croat_West
8.69606233 Hungarian_Transdanubia+Budapest
8.83994344 South_Polish
9.29654237 Czech
9.98913910 Ukrainian

What is interesting, that with my MyHeritage data i got this.

Distance to: Gergő
3.93428520 Hungarian_Northern
3.95926761 Ukrainian_Ivano_Frankivsk
4.00356091 Ukrainian_Carpathian
4.64394229 Croat_North
4.90578230 Slovak
5.16703009 Croat_East
5.28678541 Hungarian_Alföld
5.31903187 Slovenian
5.40835465 Croat
5.75450258 Ukrainian_Galicia
5.80425706 Hungarian
6.30912038 Hungarian_Transdanubia+Budapest
6.84370514 Croat_West
7.27851633 Czech
7.37974254 Moldova_North
7.41474207 Croat_South
7.64490026 Bosniak
7.69701241 Moldova_Ukrainian
8.38829542 South_Polish
8.89894938 Csángó-Ceangău
9.14359339 Sorb_Lusatia
9.29423477 Hungarian_Transylvania
9.31737624 Serb_north
9.56403680 Székely
9.67561884 Romania_Moldavia_North

[Scandal]

What is interesting, that with my MyHeritage data i got this.

Distance to: Gergő
3.93428520 Hungarian_Northern
3.95926761 Ukrainian_Ivano_Frankivsk
4.00356091 Ukrainian_Carpathian
4.64394229 Croat_North
4.90578230 Slovak
5.16703009 Croat_East
5.28678541 Hungarian_Alföld
5.31903187 Slovenian
5.40835465 Croat
5.75450258 Ukrainian_Galicia
5.80425706 Hungarian
6.30912038 Hungarian_Transdanubia+Budapest
6.84370514 Croat_West
7.27851633 Czech
7.37974254 Moldova_North
7.41474207 Croat_South
7.64490026 Bosniak
7.69701241 Moldova_Ukrainian
8.38829542 South_Polish
8.89894938 Csángó-Ceangău
9.14359339 Sorb_Lusatia
9.29423477 Hungarian_Transylvania
9.31737624 Serb_north
9.56403680 Székely
9.67561884 Romania_Moldavia_North

The other one is 23andme? MyHeritage raw data is more accurate (not for you personally, but for everyone).

[VarangianRUs]

You're still closer to Hungarian avarage than to Ukrainian, Ukraine_ivano_frankivsk is an outlier in Ukraine, they don't represent all of Ukraine well.

Distance to: GergőMarosvári(Hungarian)
3.28872316 Ukrainian_Ivano_Frankivsk
3.79164872 Ukrainian_Carpathian
5.72508515 Ukrainian_Galicia
6.24145015 Croat_East
6.25641271 Hungarian_Northern
6.73818967 Slovak
6.92441333 Croat_North
6.97252465 Moldova_Ukrainian
7.10831907 Croat
7.26186615 Moldova_North
7.29980822 Hungarian_Alföld
7.81071060 Slovenian
8.09069218 Hungarian
8.19904873 Bosniak
8.49395668 Croat_South
8.63998843 Croat_West
8.69606233 Hungarian_Transdanubia+Budapest
8.83994344 South_Polish
9.29654237 Czech
9.98913910 Ukrainian

Wow! Can you make this calculator to me :)

[Scandal]

edit

[Scandal]

Wow! Can you make this calculator to me :)

You can do it yourself : http://vahaduo.genetics.ovh/

but here you go :

Distance to: VarangianRus(Hungarian)
2.99391049 Slovak
4.06563648 Hungarian_Northern
4.06797247 Czech
4.70409396 Slovenian
4.81001039 Croat_North
5.27316793 Ukrainian_Galicia
5.31089446 Hungarian_Transdanubia+Budapest
5.59808896 Hungarian
5.78160012 Hungarian_Alföld
5.81474849 Ukrainian_Carpathian
6.78891007 South_Polish
7.13239090 Ukrainian_Ivano_Frankivsk
7.19881240 Sorb_Lusatia
7.29408665 Croat
7.48696200 German_East
7.49665259 Croat_East
8.18124685 Moldova_Ukrainian
8.81681915 Croat_West
9.23175498 Csángó-Ceangău
9.68735258 Austrian
9.75039486 Moldova_North
9.84614645 Hungarian_Transylvania
9.91048939 Croat_South
10.08041666 Polish_Masuria
10.46893977 Bosniak

[Gergő Marosvári]

The other one is 23andme? MyHeritage raw data is more accurate (not for you personally, but for everyone).

Yes, the previous one is 23andMe and this is MyHeritage.