Indirect Iberian. Neolithic, bell beaker, Iron Age migration etc.. etc..Quote:
Originally Posted by Gooding
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Indirect Iberian. Neolithic, bell beaker, Iron Age migration etc.. etc..Quote:
Originally Posted by Gooding
That would make sense, yes. Thank you. :)Quote:
Originally Posted by Graham
French is one ambigous component. It's certenly not linked with Fracne.Quote:
Originally Posted by Graham
7,68 French, really :p
Population
Amerindian -
Arabian -
Armenian 2.02%
Basque 4.46%
Central_African -
Central_Euro 4.46%
East_African -
East_Asian -
East_Balkan 7.49%
East_Central_Asian -
East_Central_Euro 9.75%
East_Med -
Eastern_Euro 6.82%
Fennoscandian 7.55%
French 7.68%
Iberian 11.09%
Indo-Chinese -
Italian 5.80%
Malayan -
Near_Eastern -
North_African -
North_Atlantic 12.25%
North_Caucasian 1.42%
North_Sea 17.19%
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 0.10%
West_Med 1.91%
It's a special one, sometimes it needs explanation on how exactly a calculator works. I don't think it's that informative anyway but it calculates deep root similarities more than real recent ancestry.Quote:
Originally Posted by Eleonore
Quote:
I've just put together a new test for GEDmatch called the Eurogenes K36. Obviously, the K36 means that it features thirty six ancestral clusters. It probably won't include any Oracles, mostly because the Calculator Effect would render these useless if they were based on the average results of the reference samples (see the sheet here for details), and it'd be very time consuming for me to test a wide variety of other samples in supervised mode using thirty six sets of allele frequencies.
The main purpose of the Eurogenes K36 is to help users unravel the ethnic origins of local areas of their genomes (aka. half-segments), hence the high number of ancestral categories, some of which are very specific. In other words, the test is mainly a chromosome painting utility. It's accessible via the GEDmatch Ad-Mix link below:
An important point to keep in mind is not to take the ancestry proportions too literary. If you're, say, English, and you get an Iberian score of 12% this doesn't actually mean you have recent ancestry from Spain or Portugal. What it means is that 12% of your alleles look typical of the reference samples classified as Iberian, and this figure might only indicate recent Iberian admixture if it's clearly higher than those of other English users.
This is what I meant. I was not meaning to say that there was a mass migration of Spanish and/or Portuguese speakers into the isles like that.Quote:
Originally Posted by Graham
Population
Amerindian -
Arabian 0.19%
Armenian 4.44%
Basque -
Central_African -
Central_Euro 3.04%
East_African -
East_Asian -
East_Balkan 6.95%
East_Central_Asian -
East_Central_Euro 2.61%
East_Med 14.01%
Eastern_Euro 0.34%
Fennoscandian -
French 5.06%
Iberian 12.37%
Indo-Chinese -
Italian 24.18%
Malayan -
Near_Eastern 6.77%
North_African -
North_Atlantic 4.59%
North_Caucasian 7.09%
North_Sea 1.83%
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 1.80%
West_Med 4.71%
I ran the 4Oracle for a couple of members here to see how wrong it is. One English, Italian, Albanian, Finn mix and myself. It lacks population samples so nothing fits really close, except for one person in which the Oracle is surprisingly spot on. I guess for those who have R you can try it for fun
My results:Quote:
Originally Posted by Petalpusher
Using 1 population approximation:
1 Kosovar @ 10.812165
2 Gagauz @ 12.624274
3 Ashkenazi_Eastern_Euro @ 13.307753
4 Tatar_Crimean_Coast @ 13.5886
5 Bulgarian @ 13.649069
6 Macedonian @ 14.050101
7 Greek_Azov @ 14.249312
8 Montenegrian @ 15.059842
9 Serbian @ 17.425668
10 Bosnian @ 20.755077
11 Croatian @ 21.443657
12 Carpathian @ 24.388094
13 German @ 24.401487
14 German_Volga @ 25.098633
15 Moldavian @ 26.231674
16 Hungarian_Slovenian @ 27.780471
17 German_Austria @ 28.27497
18 Tatar_Lithuanian @ 28.709572
19 Tatar_Crimean_Steppe @ 29.963754
20 Azerbaijan @ 30.391579
85 iterations.
Spoiler!
I ve done Armstrong, Mellow, Journeyman and Marshmallow if anyone wants it. For what it's worth, here is mine;
Least-squares method.
Using 1 population approximation:
1 German @ 13,098338
2 German_Austria @ 18,34874
3 German_Volga @ 18,479611
4 Montenegrian @ 21,071645
5 Macedonian @ 22,177743
6 Hungarian_Slovenian @ 22,329074
7 Serbian @ 22,798538
8 Croatian @ 22,957699
9 Kosovar @ 23,206067
10 Bosnian @ 24,496803
11 Carpathian @ 24,674523
12 Bulgarian @ 24,797662
13 Sweden-1 @ 25,718505
14 Gagauz @ 26,564181
15 Moldavian @ 28,008965
16 Ashkenazi_Eastern_Euro @ 31,466041
17 Ukrainian_West @ 31,514004
18 Sweden-2 @ 31,639826
19 Tatar_Crimean_Coast @ 33,595359
20 Greek_Azov @ 34,028291
85 iterations.
Spoiler!
Gaussian method.
Using 1 population approximation:
1 German @ 4,707416
2 German_Volga @ 5,177086
3 Montenegrian @ 6,371791
4 Croatian @ 6,470692
5 Serbian @ 6,591303
6 Macedonian @ 6,622039
7 Hungarian_Slovenian @ 6,659468
8 Bosnian @ 7,000448
9 Kosovar @ 7,147196
10 Carpathian @ 7,263278
11 German_Austria @ 7,405995
12 Bulgarian @ 7,64913
13 Gagauz @ 8,357945
14 Moldavian @ 8,428634
15 Sweden-1 @ 9,085891
16 Ukrainian_West @ 9,417924
17 Polish @ 9,750447
18 Ashkenazi_Eastern_Euro @ 9,784704
19 Tatar_Crimean_Coast @ 10,520247
20 Belarusian_Polesye @ 11,323453
Spoiler!