Mine is very slightly northeast of the Serbian sample
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Mine is very slightly northeast of the Serbian sample
https://i.imgur.com/RtwOPG7.png
COORDINATES: 483 (X AXIS), 234 (Y AXIS). Plots me very slightly Northeast of the Serbian sample
Cool I was wondering if there was a tool to see where you plot on a map
https://i.imgur.com/A5dfPuG.png
I said I might start a classification thread but not anything more than that. To be honest I think I look stereotypically Jewish. I have light skin and if I had to classify myself I'd probably say Armenoid with Arabid tendencies (especially nose area), but I'm by no means professional.
I can't do it :( ... I don't have painter on my computed, I don't have a windows based laptop.
http://i1300.photobucket.com/albums/...l.png~original
Weird placement for me.
what is your background? you seem to plot closer to albanians on this
https://www.theapricity.com/forum/sh...k-K15-clusters
The Belgian sample doesn't exist in K15, i don't know who added it and based on what like many other samples that don't exist in the dataset. The Belgian point is actually the South Dutch samples of the calculator (see original pca map in the op), it's very typical of Americans like CEU (Colonial Europeans from Utah) to cluster around S.Dutch on average, so nothing really weird, and even you are more on the Anglo side of the CEU cluster i believe, bit more NW, almost halfway with UK.
Ah, interesting. Well I'm at least 3/4 Romanian (mainly from the southwest/Oltenia which probably pulls the closest to Albania and that out of any region in the country anyway), and added to that I'm probably around 1/8 Aromanian and north Greek each, which pulls me a bit southwest of the average.
The thing is, pretty much every autosomal map I've seen has Romanians scattered over a very wide area, with some as far south as almost Greece and Albania, and others as far north as near Hungary and Moldova (though there's often a gap between the main Romanian and Moldovan clusters), and a few random ones pulled rather far west in the general direction of Tuscany/N. Italy even somehow. But overall most are closeset to Bulgarians followed by Serbs, and Macedonians.
I wonder if the trends (WestMed, Atlantic, North Sea, ...) were arbitrarily placed on the map ...
Because the closest shared population with oracle / oracle4 is Spanish Galicia while on the map it is Sicilian.
Eurogenes EUtest V2 K15
Table
Oracle
Admix Results (sorted):
# Population Percent
1 North_Sea 21.43
2 West_Med 17.62
3 Atlantic 17.47
4 East_Med 15.78
5 Red_Sea 9.58
6 Sub-Saharan 7.08
7 Northeast_African 5.23
8 Eastern_Euro 3.71
Single Population Sharing:
# Population (source) Distance
1 Spanish_Galicia 14.65
2 Portuguese 14.85
3 Spanish_Extremadura 15.2
4 North_Italian 15.97
5 Spanish_Murcia 16.29
6 Tuscan 16.54
7 Spanish_Castilla_Y_Leon 17.03
8 Spanish_Cataluna 17.85
9 French 18.82
10 Spanish_Andalucia 18.96
11 West_Sicilian 18.97
12 Spanish_Castilla_La_Mancha 19.4
13 Spanish_Valencia 19.6
14 Spanish_Cantabria 19.96
15 Greek_Thessaly 20.33
16 Italian_Abruzzo 20.39
17 Ashkenazi 21.04
18 Algerian 21.13
19 Spanish_Aragon 21.19
20 East_Sicilian 21.23
Oracle 4
Least-squares method.
Using 1 population approximation:
1 Spanish_Galicia @ 15.516834
2 Portuguese @ 15.740553
3 Spanish_Extremadura @ 16.258934
4 North_Italian @ 16.502321
5 Spanish_Murcia @ 17.444559
6 Tuscan @ 17.493948
7 Spanish_Castilla_Y_Leon @ 18.508312
8 Spanish_Cataluna @ 19.138771
9 French @ 20.262537
10 Spanish_Andalucia @ 20.640858
11 West_Sicilian @ 21.084824
12 Spanish_Castilla_La_Mancha @ 21.222713
13 Spanish_Valencia @ 21.307306
14 Spanish_Cantabria @ 21.900888
15 Greek_Thessaly @ 22.142914
16 Italian_Abruzzo @ 22.438175
17 Serbian @ 23.138306
18 Spanish_Aragon @ 23.256512
19 Ashkenazi @ 23.579531
20 East_Sicilian @ 23.806423
Map
https://zupimages.net/up/18/16/89nt.png
https://zupimages.net/up/18/16/e3zx.png
Its probably the design layout, differing reference samples and mathematical approximations that slightly alters one's autosomal estimate and where you roughly correspond in each software.
My guess is probably because each author designed each software differently. Hence, there is a subtle, yet, noticeable discrepancy in each individual's respective result(s) on both the PCA and Oracles.
You have to look at the "distances", you match Galicia first but @15 which is a terrible match. If you had it @2 ok but in this case you need to look at better matches with multipop or mixmode, you ll see the ones with the closest distances will better represent your point, if a fit was @0 it would be exactly your point, but it's never the case (or very rarely).
Same answer for *****. Even 6 is not that great of a match and fitting will almost always better it. Just see those numbers as a precision.
I misspoke.
I understood what distance means and that a long distance in single mode often means a mixture and that a long distance in mixed population can reveal a lack of reference population.
(In my case in single mode I always had distances of 8 to 18 points according to the calculator, with often very different populations in first place, including Sicilian, Spanish, Albanian ...). In short, I know very well that a long distance does not reflect reality, that's not my question.
What I do not understand is the alleged correlation between the data from Eurogenes K15 and the PCA, because logically the distances with the populations calculated by oracle should be found visually on the PCA, except it is not entirely accurate. So my questioning is only technical.
I will illustrate it with another example :
https://zupimages.net/up/18/16/16w2.png
@Weiss, you are outside the Eastern European cluster, however your placement may be a little bit different if you test at another company.
What do you mean i'm outside? I'm right next to erzya
check here
https://www.theapricity.com/forum/sh...48#post5092048
Lol. Is this your sock puppet? The 23andme results are literally the same
https://www.theapricity.com/forum/sh...hp?235802-l1a1
There are your Dodecad results in that thread
Dodecad K12b
Admix Results (sorted):
# Population Percent
1 North_European 55.02
2 Atlantic_Med 15.71
3 Caucasus 12.9
4 Siberian 7.76
5 Gedrosia 6.19
6 South_Asian 1.1
7 Southwest_Asian 1.08
8 East_African 0.24
Single Population Sharing:
# Population (source) Distance
1 Mordovians (Yunusbayev) 9.74
2 Russian (HGDP) 11.36
3 Ukranians (Yunusbayev) 11.84
4 Mixed_Slav (Dodecad) 11.99
5 Russian (Dodecad) 12.55
6 Polish (Dodecad) 13.28
7 Russian_B (Behar) 13.45
8 Hungarians (Behar) 14.88
9 Belorussian (Behar) 15.36
10 Chuvashs (Behar) 16.54
You seem to be around 8% mongoloid. What are your Eurogenes K13 results? You can post them here
https://www.theapricity.com/forum/sh...s-K-13/page102
I think I figured it out..
I guess it makes sense maybe. I was not aware this is how the population clusters of Europe looked like.. A bit surprising, but interesting too. Seems neighbor populations are close together usually, with some exceptions
Attachment 75048
Seems quite right; AncestryDNA looks similar to 23andme near the Brittany average.
https://s31.postimg.cc/d1h09tn5n/K15_V4.jpg
My Spanish mom:
North_Sea 12.76
Atlantic 32.75
Baltic 5.10
Eastern_Euro 4.54
West_Med 19.89
West_Asian 1.85
East_Med 18.23
Red_Sea 1.95
South_Asian -
Southeast_Asian -
Siberian -
Amerindian -
Oceanian -
Northeast_African 2.12
Sub-Saharan 0.83
X Axis = 323
Y Axis = 326
https://i.imgur.com/fDN892O.png