Yeah. Hungarians/east Euros usually get Siberian which is less mong. His east asian is among highest I saw in Hungarian results.
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1.5% Uralic but feels like it's 100 percent? Haha xD :swl
Probably because the autosomal influence has been "washed out" but the genetic variants related to your apperance are still passed on. I know a Scot who has nappy hair like an African, yet his Black ancestor lived like 200 years ago. He would probably score 3% SSA tops if he tested.
Welcome to the balkannigga club.
Member Onge? ;)
https://www.youtube.com/watch?v=lZRuMjVbtnY
Btw welcome to E-V13, time to conquer TA with nibba genes, later we take on the world. Prepare the horses or theoretically we can take cars too the fuel is cheap nowaydays.
1/2 = 50%
1/4 = 25%
1/8 = 12.5%
1/16 = 6.25%
1/32 = 3.125%
So in theory, after 5 generations any admixture could be potentially washed out almost without a trace.
I don't understand why people attack MH for being trash but defend 23andMe. Both are using modern populations as a reference, what makes one trash and the other is decent? Both are incapable of showing you a decent result. I even think that MH is better because they cover your small amount of admixtures while 23andMe assign this percentage to major components randomly. Maybe the recent ancestor region feature looks good, but it is far from being accurate and it is a matter of luck if they collected the required samples from this region or not.
I personally think the most logical thing in Eastern Europe buying MH considering price/accuracy ratio and wouldn't recommend anyone from this region to buy 23andme if s/he is not want to learn mt-DNA.
The service 23andme provided in Europe is another part of the story. They lost my kit 2 times and it had been 5 months until I get my results, Chris lived the same experience too. It shouldn't be a coincidence.
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I can't agree. Current 23andme raw data is inferior to Myheritage, and by big margin.
They are not worth excessive money they demand.
Also, their regions aren't accurate either. It doesn't even recognize Stears Szekler side lol.
He didn't get any region in Romania and not a region of his mother in Hungary either.
Only raw data matters, and in that 23andme sucks on V5 chip.
Chris results on gedmatch are far more accurate with myheritage than they would be if he tested on 23andme.
And so will be his G25 coordinates if he buys them. Because his raw data is good.
Well one thing to keep in mind, the phenotypes are ancient and were spread and absorbed long ago through migration, so they would not necessarily align strictly with recent ancestry. Also, Chris' asiatic traits can fit within the Eastern and Southeastern European range of looks without needing exotic validation. In other words, his looks could be a recapitulation of ancestors from hundreds of years ago or more who's DNA is absorbed and recombined in broken bits.
By the way, his result expected and typical for half Szekely and half Alföld. Imagine, Hungarians are close to the Croats and Szekely is identical with Romanians. A mix of Croat + Romanian would give you a Serb. Apparently Alföld + Szekely has similar output.
I don't know if anyone realized or not but he has 3% EE in PuntDNAL K13.
Admix Results (sorted):
# Population Percent
1 NE_Europe 40.42
2 SW_Europe 33.96
3 West_Asia 15.55
4 SW_Asia 5.57
5 NE_Asia 1.84
6 South_Africa 1.34
7 SE_Asia 1.12
8 Oceania 0.18
9 East_Africa 0.03
Single Population Sharing:
# Population (source) Distance
1 Serbian 3.79
2 Bosnian 3.99
3 Croatian 4.92
4 Moldavian 6.11
5 Montenegrin 6.14
6 Hungarian 6.95
7 Romanian 7.66
8 Slovene 7.67
9 German_South 8.05
10 Macedonian 8.39
11 Bulgarian 8.77
12 French 9.01
13 Slovak 9.18
14 Belgian 9.29
15 English 9.79
16 Scottish 10.49
17 Orcadian 11.1
18 Irish 11.38
19 Utahn_European 11.81
20 German_North 12.47
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 79.2% English + 20.8% Turkish_Kayseri @ 2.53
2 77.7% English + 22.3% Turkish @ 2.55
3 80.7% English + 19.3% Azerbaijan_Azeri @ 2.61
4 75.3% Orcadian + 24.7% Turkish @ 2.64
5 76.9% Orcadian + 23.1% Turkish_Kayseri @ 2.67
6 74.9% Irish + 25.1% Turkish @ 2.68
7 77.1% English + 22.9% Turkish_Aydin @ 2.69
8 76.5% Irish + 23.5% Turkish_Kayseri @ 2.71
9 77.8% Belgian + 22.2% Kumyk @ 2.73
10 76.5% Scottish + 23.5% Turkish @ 2.79
11 78.1% Scottish + 21.9% Turkish_Kayseri @ 2.84
12 88.9% Croatian + 11.1% Nogay @ 2.84
13 75.8% Utahn_European + 24.2% Turkish_Kayseri @ 2.85
14 74.2% Utahn_European + 25.8% Turkish @ 2.88
15 96.6% Bosnian + 3.4% Lahu @ 2.89
16 81% Belgian + 19% Dagestan_Azeri @ 2.89
17 96.7% Bosnian + 3.3% Miaozu @ 2.89
18 96.6% Bosnian + 3.4% Vietnamese @ 2.9
19 96.7% Bosnian + 3.3% Dai @ 2.9
20 96.9% Bosnian + 3.1% She @ 2.92
My results on 23andme suck, just to illustrate that. I get 47% eastern European (Slovenia), which would make me non-Croat in majority since Croatia is part of Balkan on 23andme. Their Balkan and east euro groups suck as well. No logic in them.
23andme is very overrated, and their shipping cost for eastern Europe is simply unbelievably high, as if they send kits to war zone and it justify such high price, lmao.
No he did not lie.
You are a southern shifted Hungarian, your are within the Hungarian range of results (just ask forum member Imre, his Hungarian side results look much like yours). It happens to be that your Szekely and also your Hungarian from Hungary side lack German admix. All your known ancestors are Hungarians, so this is a Hungarian DNA result. It really is not a surprise for a Szekely/Alfold result.
Well if the result is not accurate it doesn't matter everyone gets a similar result. On the other hand, I don't think this is the case. Imagine a Serb gets 40% Eastern Euro yet his Balkan part balanced with Greek, not Serb. On the other hand, a Serb gets 20% Eastern Euro because his Balkan part balanced with Bulgarian, Montenegrin etc.. Both have identical results in Gedmatch. So, what caused such a difference in 23andMe? They use IBD after algorithm finds a population to fulfill your breakdown then assigning you regions according to IBD results. Instead, they should measure your relativity before assigning you a component.
This is the problem.
Imagine what I thought after see my own result :D
With all of my seriousness, I can prepare a better algorithm for everyone if I had their dataset. This actually applies to all companies.