The kitchen of Global25

[Russki]

Reduce - 5 populations
Aggregate - yes

https://sun9-66.userapi.com/impg/4Gtv8Uyt1NBS95XnEjWYezRk9gGcKiRF1uuyjg/fZAvxtxyorw.jpg?size=489x60&quality=95&sign=bc8cea716914a15962333475aa5d50ea&type=album (https://vahaduo.github.io/vahaduo/)
https://sun9-2.userapi.com/impg/3uqfPkOWHc39VZIpioY3UJsutjzfQgIwgZscaw/FDhieUiUc-Y.jpg?size=489x59&quality=95&sign=c75de120272ff313f0c0d2a79dcdf102&type=album (https://vahaduo.github.io/vahaduo/)

Atlantic-Baltic,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 ,0,0,0
Sub-Saharan_African,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
West_Med,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 ,0,0,0,0
East_Asian,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Northwestern_Eurasian,0,0,1,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,0,0
South_Asian,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Northern_Eurasian,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0
East_Med,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Non-African,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0
East_Eurasian,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
East_Eurasian,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0
Oceanian,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Pygmy,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0
Amerindian,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
East_Asian,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0 ,0,0,0,0,0
Amerindian,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Northeast_African,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0
West_Asian,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
West_Med,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0 ,0,0,0,0
Northern_Eurasian,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Northeast_Asian,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0, 0,0,0,0,0,0,0,0
East_Eurasian,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
East_Asian,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0 ,0,0,0,0,0
Red_Sea,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0
Red_Sea,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0, 0,0,0,0
Caucasus,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0,0
Baltic,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0 ,0,0,0
East_Asian,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0,0
Non-African,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0, 0,0,0,0
West_Med,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0,0
South_Asian,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0, 0,0,0,0,0,0
Caucasus,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0,0
West_Med,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0 ,0,0,0,0
South_Asian,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0
Khoisan,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0, 0,0,0,0
Non-African,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0
East_Asian,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0 ,0,0,0,0,0
North_African,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0
West_Asian,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 ,0,0,0,0,0
South_Asian,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0
Northwestern_Eurasian,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,1,0,0,0,0
East_Asian,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 ,-1,0,0,0,0
Northern_Eurasian,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,1,0,0,0
North_African,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,-1,0,0,0
Western_Non-African,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,1,0,0
Eastern_Non-African,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,-1,0,0
Northern_Eurasian,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,1,0
Northwestern_Eurasian,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,0,-1,0
East_Eurasian,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,1
Maori,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,-1

https://sun9-21.userapi.com/impg/kkIkd77gIH2Cz5ygQbMZV5oasq5XEzXccuOi5w/6qmyjBuDiWk.jpg?size=600x180&quality=95&sign=a4e4725aa61c49402150bed273d3266e&type=album (https://vahaduo.github.io/vahaduo/)

[ScandinavianCelt]

Seems better with no pop reduction. What was the purpose of this calc?

[Beowulf]

Target: Beowulf_Scaled
Distance: 0.0211% / 0.02106295 | R5P
47.3 West_Med
35.0 Paleolithic_Eurasian
12.3 Atlantic-Baltic
4.2 Mesolithic_European
1.2 Northeast_African

[majevica]

Target: scaled
Distance: 2.7599% / 0.02759930 | R5P
34.0 West_Med
23.6 Mesolithic_Eurasian
16.8 Mesolithic_European
13.4 Atlantic-Baltic
12.2 Paleolithic_Eurasian

[Russki]

What was the purpose of this calc?


Your G25 coordinates is a chain of 25 numbers (values) separated by commas (,).

Each of those 25 values can be positive (above 0) or negative (below 0).

Each of those 25 values is always <1 and >-1.

Let's start with the first value (1/25). We will attempt to find out how 1/25 is distributed among various populations, which have more of it, which have less. To find out which populations have the highest positive and negative values at 1/25, we will create artificial coordinates based on the upper limits in both directions (1 and -1):


First_Positive,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 ,0,0,0,0,0,0,0
First_Negative,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

And check distances to all global populations:

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



"First Positive" peaks among North-Central Europeans in a global run, while "First Negative" peaks among Sub-Saharan African populations.

Based on these results, I gave 1/25 the following labels for convenience:


Atlantic-Baltic,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 ,0,0,0
Sub-Saharan_African,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

Next step is to find out how 2/25 is distributed among various populations: which have more, which have less.


Second_Positive,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0
Second_Negative,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

https://i.imgur.com/rUBM6t1.png



Based on observable patterns, we can apply the labels "West_Med" and "East_Asian" for our convenience:


West_Med,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 ,0,0,0,0
East_Asian,0,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

I repeated this procedure for all 25 values in a chain. For the first half it was easy to notice patterns of distribution and give conventional labels to them, but the closer I approached the end, the more difficult these patterns started to become, and for many of them it took me quite a while to notice some kind of pattern.

A vague label such as "Paleolithic Eurasian" means that this component is distributed basically among all non-SSA populations: Eurasians and offshots of Eurasians (Amerindians/Oceanians).

Interesting aspect is that 25 positions in a chain have different proportional weight: some of them represent "the bulk" of autosomal admixture, while some represent very specific and minor admixtures/drifts, and their values are always small for all global populations.
























Not really sure what was the point
It demonstrates "pure components" which were designed by the author of G25, David Wesolowski.

[Vessna]

Not really sure what was the point

Distance to: Vessna_scaled
0.88607913 Atlantic-Baltic
0.89734844 West_Med
0.94621786 Mesolithic_European
0.95561929 Mesolithic_Eurasian
0.98331899 Paleolithic_Eurasian
0.99551807 Baltic
0.99975909 East_Eurasian
1.00032106 Mesolithic_Eurasian
1.00250099 Red_Sea
1.00820148 East_Asian
1.00863384 West_Med
1.00888861 Red_Sea
1.01375748 Western_Non-African
1.01485281 Maori
1.01597551 East_Asian
1.01603456 West_Med
1.01645178 West_Asian
1.01697602 Pygmy
1.01939111 West_Asian
1.02024322 East_Asian
1.02097220 East_Eurasian
1.02146083 Paleolithic_Eurasian
1.02174470 North_African
1.02215861 Caucasus
1.02319609 Mesolithic_Eurasian


Target: H_scaled (Rus)
Distance: 4.3355% / 0.04335548 | R5P
28.4 Mesolithic_Eurasian
27.6 West_Med
18.4 Mesolithic_European
12.8 Atlantic-Baltic
12.8 Paleolithic_Eurasian


Target: Vessna_scaled
Distance: 5.0689% / 0.05068946 | R5P
29.6 West_Med
27.6 Mesolithic_Eurasian
18.0 Mesolithic_European
13.2 Atlantic-Baltic
11.6 Paleolithic_Eurasian

Target: Belarusian_East
Distance: 4.9869% / 0.04986899 | R5P
30.0 West_Med
26.4 Mesolithic_Eurasian
17.4 Mesolithic_European
13.8 Atlantic-Baltic
12.4 Paleolithic_Eurasian

[Kiel]

Target: Kiel_scaled
Distance: 1.9744% / 0.01974356 | R5P
34.0 West_Med
23.4 Mesolithic_Eurasian
15.4 Mesolithic_European
14.4 Paleolithic_Eurasian
12.8 Atlantic-Baltic

[Athalafuns]

Target: RNB27
Distance: 2.6952% / 0.02695221 | R5P
47.0 West_Med
34.4 Paleolithic_Eurasian
10.8 Atlantic-Baltic
5.4 Mesolithic_European
2.4 Northeast_African

[gixajo]

Target: gixajo_scaled
Distance: 2.2316% / 0.02231626 | R5P
46.2 West_Med
34.4 Paleolithic_Eurasian
12.0 Atlantic-Baltic
4.8 Mesolithic_European
2.6 Northeast_African

[ScandinavianCelt]

I'm curious why you don't have us create pure coordinates for ourselves in this case? In the same manner we could then compare.

At any rate this is what I get with R5P at NO ADC and 2x ADC:

Target: Brad_AncestryDNA_Scaled_Official
Distance: 3.0863% / 0.03086307 | R5P
31.6 West_Med
24.8 Mesolithic_Eurasian
15.4 Paleolithic_Eurasian
15.2 Mesolithic_European
13.0 Atlantic-Baltic

Target: Brad_AncestryDNA_Scaled_Official
Distance: 18.1863% / 0.18186321 | R5P | ADC: 2x RC
46.4 Mesolithic_European
41.8 South_Asian
6.4 Mesolithic_Eurasian
5.2 Paleolithic_Eurasian
0.2 Eastern_Non-African

[#Oda#]

Target: #Oda#_scaled
Distance: 2.8234% / 0.02823355 | R5P
31.0 West_Med
27.2 Mesolithic_Eurasian
16.6 Mesolithic_European
13.2 Atlantic-Baltic
12.0 Paleolithic_Eurasian

[celticdragongod]

Distance to: CDG_scaled
0.88085496 West_Med
0.88171053 Atlantic-Baltic
0.95881357 Mesolithic_European
0.97423583 Mesolithic_Eurasian
0.98536564 Paleolithic_Eurasian
1.00279183 Paleolithic_Eurasian
1.00321157 East_Eurasian
1.00636845 Mesolithic_Eurasian
1.00856108 Caucasus
1.00863842 South_Asian
1.01278302 East_Asian
1.01356769 East_Asian
1.01465238 Western_Non-African
1.01511056 East_Asian
1.01553407 Northeast_African
1.01625757 West_Asian
1.01658618 East_Asian
1.01884516 Pygmy
1.01910032 East_Eurasian
1.02135276 Maori
1.02179130 Mesolithic_Eurasian
1.02186763 West_Med
1.02239300 East_Asian
1.02262870 Caucasus
1.02275875 Khoisan

Target: CDG_scaled
Distance: 0.2530% / 0.00253012
16.6 West_Med
13.4 Atlantic-Baltic
11.2 Mesolithic_Eurasian
8.4 East_Asian
8.0 Mesolithic_European
7.2 Paleolithic_Eurasian
5.4 South_Asian
5.0 East_Eurasian
4.0 Caucasus
3.4 West_Asian
3.0 North_African
2.4 Amerindian
2.4 Northeast_African
2.0 Red_Sea
1.8 Pygmy
1.4 Western_Non-African
1.2 Northeast_Asian
0.8 Baltic
0.8 Maori
0.6 Eastern_Non-African
0.6 Khoisan
0.4 Oceanian

Target: CDG_scaled
Distance: 3.6045% / 0.03604483 | R5P
31.6 West_Med
25.0 Mesolithic_Eurasian
15.6 Mesolithic_European
14.4 Paleolithic_Eurasian
13.4 Atlantic-Baltic

[vader]

Target: Me_scaled
Distance: 3.0380% / 0.03037966 | R5P
47.6 West_Med
34.8 Paleolithic_Eurasian
9.6 Atlantic-Baltic
5.0 Mesolithic_European
3.0 Northeast_African

Target: Wife_scaled
Distance: 4.7338% / 0.04733835 | R5P
32.2 Amerindian
27.6 Mesolithic_European
19.4 East_Asian
15.4 Mesolithic_Eurasian
5.4 Atlantic-Baltic

[Demirkazık]

Is this for unscaled coordinates?




Target: Demir_scaled
Distance: 2.7948% / 0.02794788 | R5P
41.8 East_Eurasian
39.0 Northeast_Asian
9.2 Atlantic-Baltic
7.0 West_Med
3.0 East_Med

-------------------------------------

Target: Demir
Distance: 1.6872% / 0.01687157 | R5P
34.4 Mesolithic_Eurasian
31.6 West_Med
18.4 East_Med
14.8 East_Asian
0.8 West_Asian

[Wend-Kruzek]

Target: Kruzek_scaled
Distance: 3.0421% / 0.03042110 | R5P
33.0 West_Med
25.4 Northern_Eurasian
15.6 Northwestern_Eurasian
13.8 Atlantic-Baltic
12.2 Non-African

[Balboa]

Target: BALBOA
Distance: 4.2106% / 0.04210618 | R5P
50.2 West_Med
29.8 Non-African
12.2 Atlantic-Baltic
5.4 East_Med
2.4 Oceanian

[Johnson Reed]

Target: Ireland_EBA.SG
Distance: 9.1150% / 0.09115033 | R3P
45.6 West_Med
41.8 Northern_Eurasian
12.6 Atlantic-Baltic

[Abriekman]

Target: Abriekman_scaled
Distance: 3.0771% / 0.03077125 | R5P
33.6 West_Med
25.4 Northern_Eurasian
14.8 Northwestern_Eurasian
13.4 Atlantic-Baltic
12.8 Non-African