Thanks. But were their ancestors all ethnic Slovenes or maybe some Germans/Hungarians eto too?Quote:
Originally Posted by MCMXCV
Printable View
Thanks. But were their ancestors all ethnic Slovenes or maybe some Germans/Hungarians eto too?Quote:
Originally Posted by MCMXCV
Silly question, but is there an option to delete replies? I accidentally replied without quoting two times. Only later realised, I could edit it instead of answering again…
This isn’t easy to answer. Hungarians no, but regarding Germans it’s hard to say.Quote:
Originally Posted by Stearsolina
For my tested parent, I’d answer yes, they were ethnically Slovene.
Grandparent 2 has some ancestors originating from the area which used to be ethnically German before WWII, and they told me how a great-grandfather was “German”.
Thanks! By the looks of it, they don’t seem an outlier.Quote:
Originally Posted by Alenka
Looking at your posted maps and comparing them with the 23andMe estimates, I find it interesting how Grandparent 2 with the largest Greek & Balkan percentage (8.2%) has the least coloured regions in that area on your map. Serbia and parts of Bosnia especially stand out, being almost completely blue, while it’s green to yellow in the other two maps, whose tested persons only have 2.1%/1.7% and 4.2% of Greek & Balkan estimates in comparison.Quote:
Originally Posted by ph2ter
Here is my K13 PCA with your kits.Quote:
Originally Posted by MCMXCV
https://i.imgur.com/mlaF5ly.png
labeled
https://i.imgur.com/awWLUcJ.png
Results look totally normal and the 23andMe results and GEDmatch look to be copesetic.Quote:
Originally Posted by MCMXCV
So the grandparent who scores higher French & German is infact the grandparent with a possible German ancestor? Also, is your tested parent the child of your grandparents? If so, and the accounts are connected, then your parent will be phased, and their estimate is theoretically the most accurate.
What's interesting is that these 23andMe results, and also the GED results, are very similar to how many Hungarians score. The main difference I can see as far as 23andMe results is the Slovenia recent ancestor location. I don't think Hungarians usually score Slovenia at all.
Grandparent 1 has an unknown grandfather. There was some theorisation who it may be, but that would require some Italian admixture, which rules out that possibility. Therefore, the identity remains unknown. Overall, the family tree of Grandparent 1 is the least explored by far when compared to other three of my grandparents. Currently, though, they don’t seem any more or less German than most of my other ancestors.Quote:
Originally Posted by Mr.G
Given having the highest French & German estimate of the three (27%), I’m surprised 23andMe wasn’t able to break it down at least into countries if not subregions. When I uploaded raw data to MyHeritage, Grandparent 1 was the only one with a genetic group which didn’t disappear at the highest confidence level, namely Northern Switzerland, Southern Germany, Eastern France and Western Austria. Albeit, I’ve read MyHeritage is the least reliable…
The tested parent is the child of Grandparent 1, while Grandparent 2 is unrelated to them. The percentages and the raw data I posted for Parent are those after phasing. While they are indeed likely more accurate, it was somewhat disappointing phasing increased the broadly estimates and gave 0.1% Unassigned which wasn’t there before.
Phasing also revealed 1.6% of Ashkenazi Jewish ancestry comes from the untested grandparent and was unexpected. Unlike 0.6% Finnish with Grandparent 2, I suppose that isn’t just noise. What also surprised me is how Grandparent 2 had Poland and Russia as Possible Matches, unlike the other two family members, who only got Slovenia in Eastern European. None of them as Highly Likely Match, though.
Here, I posted the regions where my known ancestors were born. If you look eastern from there, regions № 36 and 22 used to be part of the Hungarian half of the Austro-Hungarian Empire before 1918. It maybe isn’t directly next to the ethnic border with Hungarians, but it neighboured the historically Hungarian territory. It could potentially explain the similarity to Hungarian results.
Just, overall, the reason why I wasn’t so sure about my results — besides my friend not getting any French & German and Greek & Balkan — was seeing videos online how certain people could easily pinpoint an ancestors in their family tree with the given ancestry, including the subregions. I suspect that’s much rarer in reality.
here are your family updated Vahaduo K13 results:
Distance to: Parent
2.38079819 Austrian_Styria
3.39140089 German_County_Glatz
4.34259139 Croat_Gorski_Kotar
4.52778091 Hungarian_Transdanubia+Budapest
4.68841124 Austrian_Carinthia
5.23015296 Slovene
5.93997475 Croat_Northwest
5.97893803 Hungarian_Alföld
6.16171242 German_West_Bohemia
6.31285197 Croat_Central
6.38570278 German_Bavarian_Swabia
6.51891095 German_North_Bohemia
6.96445260 German_Saxony
7.09625958 Croat_Kvarner
7.17145034 German_Lower_Silesia
7.19534572 Hungarian_North
7.35953803 German_Thuringia_East
7.36829017 Csángó-Ceangău
7.55206594 German_Thuringia_Central
7.73789377 Hungarian_Transylvania+Székely
7.74897896 Austrian_Lower_Austria
7.81591325 Croat_Lika
8.24588989 Croat_Istria
8.25008485 Austrian_Salzburg-Upper_Austria
8.27657538 Slovak
Distance to: Grand Parent 1
2.99424448 Croat_Gorski_Kotar
3.00389747 Austrian_Styria
3.16780681 Austrian_Carinthia
3.55156304 Hungarian_Transdanubia+Budapest
3.72562746 Slovene
4.46357480 Croat_Central
4.53622089 Hungarian_Alföld
4.56487678 Croat_Northwest
4.69094873 German_County_Glatz
5.55382751 Hungarian_North
5.61021390 Croat_Kvarner
6.23755561 Croat_Lika
6.57974924 German_Lower_Silesia
6.76781353 Croat_Istria
6.87789939 Slovak
7.03385385 Csángó-Ceangău
7.28600027 German_North_Bohemia
7.33209383 German_Bavarian_Swabia
7.33788798 Hungarian_Transylvania+Székely
7.40173628 Lemko_Poland
7.49727284 Croat_Dalmatia
7.52642013 Croat_Bosnia
7.53254273 Croat_Slavonia
7.64560658 Bosniak_Krajina_West
7.66966101 German_West_Bohemia
Distance to: Grand Parent 2
3.55253431 Slovene
3.73753930 Austrian_Styria
3.91661844 German_Lower_Silesia
4.38369707 Austrian_Carinthia
4.39072887 Croat_Northwest
4.76281429 German_County_Glatz
4.88280657 German_North_Bohemia
5.13564991 Croat_Gorski_Kotar
5.17420525 Hungarian_Transdanubia+Budapest
5.40496068 German_Thuringia_East
5.45559346 Slovak
5.72117121 Czech
5.82716054 Hungarian_North
6.07096368 German_Saxony
6.56428976 Croat_Central
6.57807723 German_Thuringia_Central
6.76124988 Hungarian_Alföld
7.02878368 German_West_Prussia
8.27908207 German_Saxony-Anhalt_South
8.31010830 Lemko_Poland
8.49858223 German_West_Bohemia
8.67187408 Sorb_Saxony_Kamenz
8.71808465 German_Farther_Pomerania
8.79850555 Croat_Kvarner
9.17620292 German_Mecklenburg_Center/East
It has little correlation how much you score North Atlantic, Baltic and whatever, to your 23andme score of national categories. You can be for example half English half Nigeria and obviously get lower "N.Atlantic" than most countries in Europe as it's gonna be cut in half, while still getting around 50% British and Irish on 23andme, as it should be. All these scores in 23andme are more based on IBD and specific local markers than pure admixture proportions, even less compared to made up Eurogenes components.Quote:
Originally Posted by Watersater79
If someone doesn't score F&G, he just doesn't have enough IBD/blocks in common, either too old, diluted or too mixed with other things to detect it with confidence as a percentage of this specific group. It improved a lot through the years. For example when i tested i had something like 35% F&G + a lot of British (which i was sure i didn't have), now im over 75% F&G, and i think it's the case for anyone with real recent ancestry from this part of Europe. It's more or less a Rhine valley peak with its large vicinity that is shared around.
Interesting to see Gorski Kotar as the closest for Grandparent 1. 23andMe also detects it, with the same intensity as Zadar County.Quote:
Originally Posted by Stearsolina
And this County of Glatz/Kłodzko/Kladsko keeps appearing. It was also prominently displayed on the maps posted by ph2ter.
Gorski Kotar is close to Kočevje (Goetsche) with significant German population before WW II. Glatz is the same case.Quote:
Originally Posted by MCMXCV
I’m reviving this thread with my personal results. I’m surprised I only got a single subdivision in Slovenia and (unexpectedly) Hungary and no further breakdown for French & German (similar to Grandparent 1). Given the fact my tested relatives got much more of them, I thought I would as well. But, overall, the estimates aren’t really a surprise.
ME
European 100%
Eastern European 72.0%
Slovenia Likely Match
1. Lendava
Hungary Possible Match
1. Budapest
Northwestern European 11.7%
French & German 11.6%
Broadly Northwestern European 0.1%
Southern European 7.8%
Greek & Balkan 6.2%
Croatia
Broadly Southern European 1.6%
Ashkenazi Jewish 0.2%
Broadly European 8.3%
ph2ter, would you be so kind to make a map of my results like you’ve done for my relatives? You need K13 and K15 values for that? Or just direct me to a website where I can do it myself. I’m not sure if it’s freely available online.
Give me your K13.Quote:
Originally Posted by MCMXCV
You cannot do it by yourself. I charge such maps, but I will make this one for free.
Congrats on getting your results. If you feel like posting your K13/K15 values here in the thread I am certainly interested in seeing them.Quote:
Originally Posted by MCMXCV
ME
K13
1 Baltic 33.29
2 North_Atlantic 31.11
3 West_Med 15.87
4 West_Asian 8.49
5 East_Med 6.63
6 Red_Sea 2.33
7 Siberian 1.61
8 Amerindian 0.44
9 South_Asian 0.24
K15
1 North_Sea 26.6
2 Baltic 19.44
3 Atlantic 13.95
4 West_Med 13.86
5 Eastern_Euro 13.29
6 West_Asian 6.81
7 East_Med 3.47
8 Red_Sea 1.49
9 Siberian 0.97
10 Amerindian 0.11
11 South_Asian 0.0
https://i.imgur.com/jTC5Gah.pngQuote:
Originally Posted by MCMXCV
are you using all of these averages?Quote:
Originally Posted by ph2ter
there is an average for the northwestern half of Montenegro (Old herzegovina) (if you're not already using it). https://en.wikipedia.org/wiki/Old_HerzegovinaCode:Serb_CentralCroatia,24.83,30.66,16.70,9.10,15.19,1.43,0.55,0.29,0.36,0.46,0.31,0.04,0.08
Serb_NorthEastBosnia,25.49,30.63,16.30,8.40,14.66,1.78,0.54,0.29,0.95,0.55,0.34,0.06,0.01
Serb_CentralSerbia,24.59,29.55,17.43,8.40,16.48,1.44,0.53,0.23,0.72,0.30,0.31,0.00,0.02
Serb_Dalmatia,25.69,28.77,16.89,9.22,15.58,1.30,0.60,0.31,0.63,0.45,0.41,0.10,0.06
Serb_EastSerbia,23.79,29.45,16.91,8.77,16.35,2.00,0.59,0.10,1.00,0.71,0.32,0.00,0.00
Serb_Herzegovina,25.61,27.75,17.32,8.27,16.79,1.96,0.27,0.12,0.57,0.52,0.64,0.13,0.05
Serb_KosovoMetohija,25.02,26.73,17.99,8.89,17.80,1.57,0.22,0.17,0.54,0.52,0.25,0.14,0.16
Serb_BosanskaKrajina,24.77,30.01,16.92,9.30,14.88,1.51,0.72,0.37,0.42,0.37,0.58,0.01,0.13
Serb_Lika,25.15,29.65,16.89,8.49,15.88,1.59,0.45,0.18,0.68,0.56,0.31,0.13,0.04
Serb_SoutheastSerbia,23.75,28.51,17.01,9.38,16.94,2.13,0.43,0.34,0.61,0.40,0.26,0.15,0.11
Serb_SouthwestSerbia,26.38,28.39,16.97,9.07,15.59,1.51,0.47,0.18,0.57,0.31,0.21,0.20,0.14
Serb_Vojvodina,24.78,27.96,17.42,9.44,16.03,1.69,0.72,0.40,0.17,0.75,0.47,0.06,0.12
Serb_WestSerbia,25.67,30.22,16.56,8.28,15.69,1.17,0.61,0.37,0.61,0.39,0.35,0.00,0.08
Vlach_Serbia,22.77,27.08,19.09,10.03,16.82,1.28,0.34,1.25,0.36,0.49,0.47,0.00,0.17
Montenegro_Old_Herzegovina,25.98,27.45,17.63,8.87,15.99,1.31,0.38,0.43,0.48,1.15,0.23,0.00,0.13
Montenegro_SouthEast,22.76,25.94,19.54,9.88,17.90,1.79,0.60,0.25,0.67,0.28,0.30,0.06,0.03
you can split the western half of Serbia into "West" and "Southwest" ("Podrinje and Posavina" and "Raška" on this map: https://en.wikipedia.org/wiki/Geogra...:Serbia022.png)
also the Serbs from Doboj region are part of the Northeast, not Krajina (they are very similar, but still)
Quote:
Originally Posted by MCMXCV
Code:MCMXCV_k13,31.11,33.29,15.87,8.49,6.63,2.33,0.24,0,1.61,0.44,0,0,0
Code:MCMXCV_k15,26.6,13.95,19.44,13.29,13.86,6.81,3.47,1.49,0,0,0.97,0.11,0,0,0
Code:Smaller regions Eurogenes K13:
Target: MCMXCV_k13
Distance: 323.8845% / 3.23884459 | ADC: 0.5x
55.2 Austrian_Styria
18.8 Croat_Northwest
14.2 Ukrainian_Galicia
11.8 Csángó-Ceangău
Distance to: MCMXCV_k13
4.17530837 Hungarian_Transdanubia+Budapest
4.26404737 Croat_Northwest
4.40591648 Slovene
4.48364807 Croat_GorskiKotar
4.53137948 Austrian_Styria
4.96553119 Hungarian_Alföld
5.03074547 Austrian_Carinthia
5.23708889 Croat_Central
5.72265673 Hungarian_North
5.82912515 Slovak
6.15412057 German_County_Glatz
6.22341546 German_Lower_Silesia
6.83617583 Lemko_Poland
6.90506336 Croat_Kvarner
7.11142039 Csángó-Ceangău
7.27578174 Czech
7.45516599 Croat_Lika
7.79901917 Bosniak_Northeast
8.04129965 Bosniak_Central
8.04585608 Bosniak_Krajina_East
8.12213642 Ukrainian_Carpathians
8.37300424 German_Thuringia_East
8.40701493 Ukrainian_Galicia
8.47321663 Hungarian_Transylvania+Székely
8.50105288 Croat_Istria
Larger regions Eurogenes K13:
Target: MCMXCV_k13
Distance: 309.9751% / 3.09975140 | ADC: 0.5x
65.8 Austrian_Styria
21.4 Ukrainian_Galicia
12.8 Csángó-Ceangău
Distance to: MCMXCV_k13
4.40591648 Slovene
4.53137948 Austrian_Styria
4.64014008 Croat_Northern
4.69075687 Hungarian
5.03074547 Austrian_Carinthia
5.72265673 Hungarian_North
5.82912515 Slovak
6.59812094 Croat
6.83617583 Lemko_Poland
7.11142039 Csángó-Ceangău
7.27578174 Czech
8.12213642 Ukrainian_Carpathians
8.40701493 Ukrainian_Galicia
8.43292950 Croat_Southern
8.47321663 Hungarian_Transylvania
8.89618458 Austrian
8.98943825 German_Southeast
9.56154276 Moldovan_North
9.72730692 Bosniak
9.95591282 Romanian_North
10.43217619 Polish_South
10.74522685 Sorb
11.00389817 Austrian_Lower_Austria
11.14894614 Moldovan_Central
11.15422790 Polish_Subcarpathia
Eurogenes K15 Updated:
Target: MCMXCV_k15
Distance: 547.1387% / 5.47138706 | ADC: 0.5x
68.4 Croat_Bosnia
30.8 East_German
0.8 Polish_Masuria
Distance to: MCMXCV_k15
6.63917069 Croat_Bosnia
7.22724014 Hungarian
8.03821891 Slovak
8.52351183 Slovenian
8.88379986 East_German
9.08004956 Austria-Burgenland
9.11392341 Czech
10.09959900 Moldavian
10.17111105 Kaykavian_Croatian
10.82974146 Croatian
11.69974011 Serbian_Bosnia
11.78470195 Ukrainian_Lviv
12.10190960 Bosnian
12.40889600 Sorb_Lusatia
12.77369954 Austrian
12.98643812 Szekely
13.02688374 South_Polish
13.08110469 Bosniak
13.22866206 Serbian
13.42485754 Polish_Masuria
13.64641345 Romania_Nw
13.86654247 Romania_Ne
14.01860549 Austria-Tyrol
14.34660459 Montenegrin
14.53923657 French_Alsace
Here:Quote:
Originally Posted by vbnetkhio
https://i.imgur.com/ToRFLo9.png
Sincere thanks, ph2ter!Quote:
Originally Posted by ph2ter
I’m surprised how many more red regions I have compared to my tested family members. The whole Hungary really stands out, аs well as the highlighted regions of northern Croatia and the Hmeljnicjka oblastj in Ukraine.
Also, what does the first map posted here (titled MCMXCV_K13) show?
Some of your other kits for which I thought that it was yours.Quote:
Originally Posted by MCMXCV
I always enjoy seeing these distance estimates, so thanks for these numbers! Why would you say there’s a difference between K13 and K17, with Croat_Bosnia being on the top in the latter?Quote:
Originally Posted by Mr.G
From what I understand, all these estimates show the genetic similarity to the listed populations, but not necessarily the origin of my ancestors? Or is it way more distanced ancestors? What I’m trying to say is that I can quite confidently state that at least ľ of my ancestors can be traced back to at least mid-18th century and were all born within present-day Slovenia, and this would go against it. I certainly wouldn’t expect 100% Slovene; I’m just trying to understand.
Can I, for example, expect to find an ancestor who was born in Galicia or comes from an area where Csángós live, when I go further back, or would it be before there’re any records?
Great collection of tests!Quote:
Originally Posted by MCMXCV
Did you connect all tested individuals in their parent-child relation (resulting in getting phased against one or two parents and improving the Ancestry Composition of all involved)?
Maybe also interesting: https://www.theapricity.com/forum/sh...dMe-Change-Log!
How many % DNA do you have in common with your 4 grandparents (see matching list)? Just curious for the spread (deviation from 25%:25%:25%:25%).Quote:
Originally Posted by MCMXCV
28.19% : 21.81% : 22.02% : 27.98%Quote:
Originally Posted by rothaer
It’s Grandparent 1 : untested parent of Parent : Grandparent 2 : other untested grandparent. Doesn’t seem like a significant deviation, although I’m not sure how common that is.
I only saw this after the above reply.Quote:
Originally Posted by rothaer
Parent phased against Grandparent 1 (I also saw the estimates prior to that), and I phased against my parent when getting my results. Grandparent 2 is from my untested parent, so there isn’t a connection by phasing, only the usual one.
And thanks for the link. I saw that post, but since tests have been made just recently and there hasn’t been an update, I didn’t think it’s worth sharing. It’s only the initial date and phasing.
Thanks, neither me.Quote:
Originally Posted by MCMXCV
I've none of my grandparents tested (all deceased), but by comprehensive chromosome painting, resulting in 80% of the DNA getting painted and extrapolation to 100%, I found out that the DNA from one pair of grandparents was inherited as skewed as abt. 35%:15%. I regard that borderline and assess it to be within the 1% most extreme cases.
My grandparents are 90 and 89. The other two have been deceased for quite some time, so there was never an option to have them tested. Fortunately, my tested grandparents come from each of my parents, so it enables phasing for both of them.Quote:
Originally Posted by rothaer
I’m glad you were able to find out your inheritance percentages. 15% does seem low. Do you know whether there’s a tool which calculates an estimate of the missing (grand)parent’s DNA? Eurogenes values or something similar. Something along the lines of deducting the tested parent’s DNA from the child’s and predicting the untested parent’s DNA. I’m not sure if it exists or if it’s even possible. 23andMe does show which ethnicity you got from each parent after phasing, but you cannot just multiply that by two to get the parent’s estimate.
In my opinion, this is simply genetic similarity to populations/balanced modeling, and likely not indicative of actual ancestry, in your case. So while the results might suggest a Galician or Csangos ancestor, only a paper trail can add validity to that. Otherwise, it is just as likely to be fully attributable to genetic similarity or because of a deviation that you have from the average. It is important to remember that the averages are made up of a number of samples, those sample form a normal range for an ethnicity. My guess is that all family members you posted fall within the normal range of results for full Slovene, even if not right on the average. On an additional note you also are using 23andMe data, which is not quite as good for use with GED/Vahaduo and can skew individual components by 2%.Quote:
Originally Posted by MCMXCV
As far as comparing your K13 and K15.. K13 has been more extensively updated with quality samples across the board, so that could explain the difference. K15 is good for someone like me as it seems to handle my East-West split of German and Hungarian very well, and some people say it handles Western Europe better than K13, but in your case I would suggest K13 is the more reliable of the two. Still, your K15 is quite reasonable, imo.
When you have distance between parental ancestries (let's say Irish and Romanian, or German and Hungarian), you can make a somewhat reliable theoretical result for an untested parent using GED components. The further the distance between the parents, the better. However, when they (the parents) are from the same ethnicity, this method does not work well.Quote:
Originally Posted by MCMXCV
For example, I use a theoretical kit to represent my father (he was never tested), his kit was developed assuming that I plot exactly between my parents. The problem for an individual like you, who's parents are the same ethnicity, is that your family will tend to plot right around each other in an unpredictable way. The further the parents plot from each other, the more reliable the mid point method of creating an untested parent's kit becomes.
European 100%
Eastern European 72.0%
Slovenia Likely Match
1. Lendava
Hungary Possible Match
1. Budapest
Northwestern European 11.7%
French & German 11.6%
Broadly Northwestern European 0.1%
Southern European 7.8%
Greek & Balkan 6.2%
Croatia Possible Match
Broadly Southern European 1.6%
Ashkenazi Jewish 0.2%
Broadly European 8.3%
Don’t mind the above (re)post. I want to have it linked in my signature, but couldn’t edit the old one. I guess I’ll drop my Eurogenes K36 map here so this thread isn’t bumped for absolutely nothing.
https://uc3b14911afaed4a96e42a78b014...1HrOrz2w/p.png
A Slovene I've recently found. Probably already known to some of you
Admix Results (sorted):
# Population Percent
1 North_Atlantic 31.64
2 Baltic 30.64
3 West_Med 15.22
4 East_Med 9.86
5 West_Asian 8.33
6 South_Asian 1.32
7 Red_Sea 1.07
8 Oceanian 1.04
9 East_Asian 0.87
Single Population Sharing:
# Population (source) Distance
1 Hungarian 3.41
2 Austrian 5.43
3 Croatian 6.42
4 East_German 6.43
5 Moldavian 7.14
6 Serbian 7.31
7 South_Polish 11.45
8 Romanian 11.48
9 Ukrainian_Lviv 11.88
10 West_German 12.53
11 Ukrainian 13.1
12 South_Dutch 13.91
13 Bulgarian 14.24
14 Polish 15.15
15 North_German 15.34
16 French 15.94
17 North_Swedish 16.88
18 Southwest_Russian 17.26
19 Ukrainian_Belgorod 17.44
20 Swedish 17.5
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 72.7% Moldavian + 27.3% Southeast_English @ 1.74
2 57.4% Austrian + 42.6% Moldavian @ 1.77
3 64.3% Moldavian + 35.7% West_German @ 1.91
4 74.7% Moldavian + 25.3% Southwest_English @ 1.92
5 66.7% Moldavian + 33.3% South_Dutch @ 1.95
6 72.2% Croatian + 27.8% French @ 2.05
7 53.5% East_German + 46.5% Serbian @ 2.05
8 69.8% East_German + 30.2% Bulgarian @ 2.06
9 67.1% Croatian + 32.9% West_German @ 2.1
10 65.1% East_German + 34.9% Romanian @ 2.27
11 75.8% Moldavian + 24.2% West_Scottish @ 2.34
12 74.1% Moldavian + 25.9% Orcadian @ 2.35
13 69.7% Croatian + 30.3% South_Dutch @ 2.4
14 75.1% Moldavian + 24.9% Irish @ 2.42
15 73% Moldavian + 27% North_Dutch @ 2.47
16 72.7% Moldavian + 27.3% Danish @ 2.51
17 65.1% South_Polish + 34.9% North_Italian @ 2.55
18 95.2% Hungarian + 4.8% Sardinian @ 2.57
19 59.1% Ukrainian_Belgorod + 40.9% Spanish_Andalucia @ 2.64
20 69.5% Moldavian + 30.5% North_German @ 2.65