Global25 by Davidski

[FilhoV]

Anyone know how to process my coordinates on nMonte I got my results but have no idea how to process them

[Token]

I can try a couple of models for you when i get home, you are fully Azorean right?

[FilhoV]

I can try a couple of models for you when i get home, you are fully Azorean right?

Yes, Davidski sent me my data but I have no idea how to plug my coordinates for the populations all I got was the Barcin, WHG PCA and %

[Token]

Yes, Davidski sent me my data but I have no idea how to plug my coordinates for the populations all I got was the Barcin, WHG PCA and %

Send me your coordinates

[FilhoV]

Send me your coordinates

Just sent them

[Gründig]

I learned how to do It as well.

[Token]

Your Iberian ancestry seems to be closest to Andalusia, most likely due to the severe lack of regional Portuguese references in the Global25 spreadsheet.

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
Spanish_Andalucia Portuguese Italian_Bergamo Sicilian_West
0.02331287 0.02708195 0.03757397 0.05579913
Italian_Abruzzo Sicilian_East Belgian German
0.05996652 0.06497397 0.06877237 0.08399592


[1] "2. FULL TABLE nMONTE"
[1] "Ncycles= 1000"
PC1 PC2 PC3 PC4
Phillip_Pereira_scaled 0.0944730000 0.154360000 0.034695000 -0.01162800
fitted 0.0953963639 0.147285363 0.030769325 -0.00797259
dif 0.0009233639 -0.007074637 -0.003925675 0.00365541
PC5 PC6 PC7 PC8
Phillip_Pereira_scaled 0.043085000 -0.006414000 -0.009400000 0.0006920000
fitted 0.039862938 -0.004839707 -0.002026069 0.0014821319
dif -0.003222062 0.001574293 0.007373931 0.0007901319
PC9 PC10 PC11 PC12
Phillip_Pereira_scaled 0.0169750000 0.028247000 0.002111000 0.0064440000
fitted 0.0165349606 0.029355609 -0.001933479 0.0059806275
dif -0.0004400394 0.001108609 -0.004044479 -0.0004633725
PC13 PC14 PC15 PC16
Phillip_Pereira_scaled -0.015758000 -0.010322000 0.003664000 -0.009944000
fitted -0.012710857 -0.012685536 0.005780647 -0.004392113
dif 0.003047143 -0.002363536 0.002116647 0.005551887
PC17 PC18 PC19 PC20
Phillip_Pereira_scaled 0.000652000 -0.0054480000 -0.003142000 -0.002626000
fitted -0.002202461 -0.0004949958 -0.001327619 -0.003933533
dif -0.002854461 0.0049530041 0.001814381 -0.001307533
PC21 PC22 PC23 PC24
Phillip_Pereira_scaled 0.0031190000 0.0001240000 -0.0018490000 -0.001205000
fitted 0.0029562531 -0.0006773194 -0.0012023580 -0.002683197
dif -0.0001627469 -0.0008013194 0.0006466419 -0.001478197
PC25
Phillip_Pereira_scaled -0.0032330000
fitted -0.0001875588
dif 0.0030454412

[1] "distance%=1.6307 / distance=0.016307"

Phillip_Pereira_scaled

Spanish_Andalucia 75.10
Sicilian_East 8.70
Portuguese 7.70
Italian_Bergamo 6.55
Yoruba 1.95

[FilhoV]

Many thanks Token

[Token]

Many thanks Token

Yoruba too is, again, probably due to the lack of regional Portuguese references. Most likely not recent ancestry.

[FilhoV]

1] "distance%=3.1125"



Barcin_N,57.6
Yamnaya_Samara,28.2
WHG,8.6
Iberomaurusian,3.8
Yoruba,1.8

[Gründig]

Did a quick run on Poi's calculator since I don't have access to nMonte on R right now. I just did 3 similar populations because certain ones are lacking for you.

Between 1% to 2% with between 4-5 realistic populations is what you're looking for.


1.5656

Scaled

Spanish_Andalucia,50.83
Spanish Canarias,25
Portuguese,24.17

[FilhoV]

I can try a couple of models for you when i get home, you are fully Azorean right?

Do you have any other Portuguese or Spanish global 25 Around so I can compare

[Lucas]

Your Iberian ancestry seems to be closest to Andalusia, most likely due to the severe lack of regional Portuguese references in the Global25 spreadsheet.

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
Spanish_Andalucia Portuguese Italian_Bergamo Sicilian_West
0.02331287 0.02708195 0.03757397 0.05579913
Italian_Abruzzo Sicilian_East Belgian German
0.05996652 0.06497397 0.06877237 0.08399592


[1] "2. FULL TABLE nMONTE"
[1] "Ncycles= 1000"
PC1 PC2 PC3 PC4
Phillip_Pereira_scaled 0.0944730000 0.154360000 0.034695000 -0.01162800
fitted 0.0953963639 0.147285363 0.030769325 -0.00797259
dif 0.0009233639 -0.007074637 -0.003925675 0.00365541
PC5 PC6 PC7 PC8
Phillip_Pereira_scaled 0.043085000 -0.006414000 -0.009400000 0.0006920000
fitted 0.039862938 -0.004839707 -0.002026069 0.0014821319
dif -0.003222062 0.001574293 0.007373931 0.0007901319
PC9 PC10 PC11 PC12
Phillip_Pereira_scaled 0.0169750000 0.028247000 0.002111000 0.0064440000
fitted 0.0165349606 0.029355609 -0.001933479 0.0059806275
dif -0.0004400394 0.001108609 -0.004044479 -0.0004633725
PC13 PC14 PC15 PC16
Phillip_Pereira_scaled -0.015758000 -0.010322000 0.003664000 -0.009944000
fitted -0.012710857 -0.012685536 0.005780647 -0.004392113
dif 0.003047143 -0.002363536 0.002116647 0.005551887
PC17 PC18 PC19 PC20
Phillip_Pereira_scaled 0.000652000 -0.0054480000 -0.003142000 -0.002626000
fitted -0.002202461 -0.0004949958 -0.001327619 -0.003933533
dif -0.002854461 0.0049530041 0.001814381 -0.001307533
PC21 PC22 PC23 PC24
Phillip_Pereira_scaled 0.0031190000 0.0001240000 -0.0018490000 -0.001205000
fitted 0.0029562531 -0.0006773194 -0.0012023580 -0.002683197
dif -0.0001627469 -0.0008013194 0.0006466419 -0.001478197
PC25
Phillip_Pereira_scaled -0.0032330000
fitted -0.0001875588
dif 0.0030454412

[1] "distance%=1.6307 / distance=0.016307"

Phillip_Pereira_scaled

Spanish_Andalucia 75.10
Sicilian_East 8.70
Portuguese 7.70
Italian_Bergamo 6.55
Yoruba 1.95

You used full modern spreadsheet or without some pops?

[Token]

You used full modern spreadsheet or without some pops?
I selected the samples that made most sense considering his known ancestry. Modelling him using only the Portuguese average as a proxy for Iberian returned too high distances.

[Sp_loa]

What are these calculators? Are they free? how can I use them too?

[FilhoV]

Alright mates

I am highlighted in red
Brief explanation:
France_MLN is a good proxy for Iberia's(and Altantic, in general) copper-age layer. It's EEF, basically.

Beaker_the_Netherlands is a proxy for "Hyperborean" ancestry that characterized early Beakers as well as successive movements of Celts(who might have had more EEF relative to this proxy).

Anatolia_EBA: Aegean("ME") admixture proxy.

Moroccan9:A Moroccan Berber who was previously plotted and characterized. Lacks bedouin and much of the SSA admixture unlike other Moroccan samples.



https://i.imgur.com/XxTiGJK.jpg

Had this made for me in comparison to other Iberian populations

[FilhoV]

I threw Belgium in 1 run because some sections of the Azores were supposedly settled by Flemish folks. However, I think the value is spurious because it is so small and because it disappers when I use Extremadura or Andalucia to model myself.

It's safer to say that I am definitely more "Aegean" than the average Portuguese.

[FilhoV]

https://i.imgur.com/pbutjLb.jpg