Global Regions Calc K25 v1

[ScandinavianCelt]

<iframe src="https://pastebin.com/embed_iframe/LmQHqfw4" style="border:none;width:50%"></iframe>



Target: Brad(NE-America)_AncestryDNA_Scaled_Official
Distance: 2.0484% / 0.02048435
81.4 North_Europe
12.2 South_Europe
2.8 North_India
2.0 CHG
1.0 America_Central
0.6 Middle_East



This calc prob needs some tweaking, but try it if you want.

[drb234]

Target: drb_scaled
Distance: 2.6602% / 0.02660175
72.8 North_Europe
25.2 South_Europe
2.0 WHG

[Kiel]

Target: Kiel_scaled
Distance: 1.5877% / 0.01587685
64.4 North_Europe
21.8 South_Europe
7.0 Middle_East
5.2 Central_Europe
1.0 WHG
0.6 CHG

[nittionia]

Target: nittionia_scaled
Distance: 2.7090% / 0.02708965
71.2 North_Europe
23.0 South_Europe
2.8 WHG
2.6 Siberia
0.2 CHG
0.2 North_India

[sacha]

These two refs don't really make sense:

Distance to: Middle_East
0.02666982 Samaritan
0.03873054 Karaite_Iraq
0.03974876 Lebanese_Christian
0.04640117 Karaite_Egypt
0.04735529 Lebanese_Druze

Distance to: SW_Asia
0.00000000 Turkish_Deliorman
0.02739552 Turkish_Rumeli
0.03590545 Gagauz
0.04084559 Bulgarian
0.04323461 Greek_East_Macedonia_and_Thrace

Why does Turkish have its own unaveraged reference (I would understand some kind of Turkic but that would be a rework of some other categories) and why is the Middle East ref just Levantine/Jewish? It's a bit odd because when you put something that should be close to whatever ref it is a part of (like, it's the first thing you think of), you get this:

Distance to: Saudi
0.09397560 Middle_East
0.15401421 Mediterranean_Islands
0.15863673 North_Africa
0.19919168 South_Europe
0.20126707 SW_Asia
0.25412198 Central_Europe
0.27235047 North_Europe
0.27403845 East_Europe
0.30251266 CHG
0.30320500 Central_Asia

Or even like Iranian, comes out like this:

Distance to: Iranian
0.12827549 Middle_East
0.13211295 Mediterranean_Islands
0.13238258 SW_Asia
0.16886615 CHG
0.17186937 South_Europe
0.19607362 Central_Europe
0.20907578 Central_Asia
0.20990424 North_Africa
0.21111176 North_Europe
0.21249391 East_Europe

It's a really weird system.

[sacha]

Also, if you're using all modern references and some of the reference have CHG, WHG as their components, I don't think it is necessarily to put in time-period-inappropriate references for them by themselves. That doesn't really tell the same information as the rest of the calculator.

[Kess]

Target: Kess_scaled
Distance: 2.8062% / 0.02806212
30.2 SW_Asia
24.6 CHG
21.0 Middle_East
12.6 South_Europe
9.2 Central_Asia
1.2 East_Asian
0.8 America_South
0.4 Siberia

[Dušan]

Target: Dušan_scaled
Distance: 2.5735% / 0.02573487
60.8 East_Europe
33.6 South_Europe
4.2 Middle_East
1.4 CHG

[Kess]

Distance to: SW_Asia
0.00000000 Turkish_Deliorman
0.02739552 Turkish_Rumeli
0.03590545 Gagauz
0.04084559 Bulgarian
0.04323461 Greek_East_Macedonia_and_Thrace.

I agree; they are wrongly labeled.

[ScandinavianCelt]

These two refs don't really make sense:

Why does Turkish have its own unaveraged reference (I would understand some kind of Turkic but that would be a rework of some other categories) and why is the Middle East ref just Levantine/Jewish? It's a bit odd because when you put something that should be close to whatever ref it is a part of (like, it's the first thing you think of), you get this:


It's a really weird system.


I agree; they are wrongly labeled.

Both Middle_East and SW_Asia are updated. Both have been averaged to some better degree.

Both were labeled in my files as such and I thought they plotted out appropriately on the PCA.

As I mentioned, it might need a little tweaking, so I'm tweaking for ya. :)

[ScandinavianCelt]

Also, if you're using all modern references and some of the reference have CHG, WHG as their components, I don't think it is necessarily to put in time-period-inappropriate references for them by themselves. That doesn't really tell the same information as the rest of the calculator.

Because of their plots on the PCA and where they represent as a result:

https://i.postimg.cc/85QwhBnf/Vahaduo-Global-25-Views-2024-04-24-T153816-682.png (https://postimg.cc/94bG2T2c)

[ScandinavianCelt]

Target: Kess_scaled
Distance: 2.8062% / 0.02806212
30.2 SW_Asia
24.6 CHG
21.0 Middle_East
12.6 South_Europe
9.2 Central_Asia
1.2 East_Asian
0.8 America_South
0.4 Siberia

Try with updated SW_Asia now and see how it looks.

[Solitude]

Please make some ancient calcs by period

[LinuxUser]

Target: Linux_Scaled
Distance: 1.4377% / 0.01437707
57.6 North_Europe
39.8 Central_Europe
1.8 South_Europe
0.8 North_Africa

[ScandinavianCelt]

Please make some ancient calcs by period

All the classic periods are covered on Exploreyourdna.com, as well as other places.

[Gergő Marosvári]

OK, this calculator is really AMAZING! Honestly, I am impressed by my results. Great job!!!

Target: Gergő
Distance: 1.7643% / 0.01764347
86.0 Central_Europe
7.6 SW_Asia
2.8 CHG
1.4 Middle_East
1.2 Central_Asia
0.6 South_Asian
0.2 Siberia
0.2 WHG

[ScandinavianCelt]

OK, this calculator is really AMAZING! Honestly, I am impressed by my results. Great job!!!

Target: Gergő
Distance: 1.7643% / 0.01764347
86.0 Central_Europe
7.6 SW_Asia
2.8 CHG
1.4 Middle_East
1.2 Central_Asia
0.6 South_Asian
0.2 Siberia
0.2 WHG

Too kind. What I really want to do is going to take me some time. Today is a warm-up, of sorts. I will be refining this at some point but have to go through a lot more ancient samples to get what I'm looking to create. Again, it will take more time.

[vader]

Target: Me_scaled
Distance: 2.9381% / 0.02938105
56.4 South_Europe
26.4 North_Europe
13.4 North_Africa
2.6 WHG
1.2 East_Africa

Target: Wife_scaled
Distance: 1.8985% / 0.01898452
44.2 America_Central
43.2 South_Europe
2.8 America_North
2.4 West_Africa
2.0 East_Africa
1.6 WHG
1.4 CHG
1.2 America_South
0.8 America_Arctic
0.4 South_Africa

[#Oda#]

Target: #Oda#_scaled
Distance: 2.5993% / 0.02599330
84.8 North_Europe
13.8 South_Europe
0.8 CHG
0.6 WHG

without WHG, CHG:
Target: #Oda#_scaled
Distance: 2.6101% / 0.02610140
86.4 North_Europe
13.6 South_Europe

[MBVC]

Target: MBVC_scaled
Distance: 0.0186% / 0.01863890
72.2 North_Africa
15.3 Mediterranean_Islands
5.4 Middle_East
3.3 CHG
3.1 WHG
0.5 East_Africa
0.2 South_Asian

[celticdragongod]

Distance to: CDG_scaled
0.03154349 North_Europe
0.04889926 Central_Europe
0.07238457 East_Europe
0.11053770 South_Europe
0.13755833 Mediterranean_Islands
0.15735002 SW_Asia
0.21094767 Middle_East
0.25056112 North_Africa
0.26034700 Central_Asia
0.27700425 CHG
0.30132913 North_India
0.33477902 WHG
0.36398314 America_Arctic
0.36926007 Siberia
0.40219430 South_Asian
0.54891900 SE_Asia
0.57392851 NE_Asia
0.59207698 America_North
0.59654812 Oceania
0.60698496 East_Africa
0.61174939 East_Asian
0.69161123 America_Central
0.71353405 America_South
0.77737849 West_Africa
0.83944539 South_Africa

Target: CDG_scaled
Distance: 2.6378% / 0.02637775
86.0 North_Europe
13.8 South_Europe
0.2 North_India

[Rædwald]

Target: Rædwald
Distance: 1.6264% / 0.01626415
73.8 North_Europe
22.6 South_Europe
1.8 America_Central
1.2 North_India
0.6 WHG

[sacha]

Because of their plots on the PCA and where they represent as a result:

https://i.postimg.cc/85QwhBnf/Vahaduo-Global-25-Views-2024-04-24-T153816-682.png (https://postimg.cc/94bG2T2c)

I have this issue with a lot of your calculators; you mix time periods a lot. The issue with you using the Vahaduo West Eurasia PCA is that the Principal Components of that PCA are scaled for West Eurasia. What does that mean? It's the same reason why West Africa is sitting right next to South Africa on your image, despite the distance being:

Distance to: West_Africa
0.39236311 South_Africa

For context, the difference between your East Europe and North Europe sources, a similar "visual" distance apart (actually, even moreso visually apart):

Distance to: North_Europe
0.04682976 East_Europe

If you're making a global regions calculator and want to use a PCA, fine, but pick one that actually represents the dataset. You also have this issue with CHG appearing

Anyway, the issue I have with you including WHG and CHG is one of shared genetic flow. No one today is a WHG or a CHG; those are now "components" of modern ancestries. By including them, you are not only messing up people's calculations but also have a weird discontinuity.

This is not exactly how it works, but more on a conceptual level. Let's say you are, if we ran you through a neolithic model, 1/2 CHG, 3/8 ANF and 1/8 Zagros. I will just use these samples to simulate "you", with your CHG source:


IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
CHG,0.091058,0.102568,-0.083344,-0.00323,-0.08617,0.020638,0.024911,-0.001846,-0.128236,-0.074717,-0.006333,0.023979,-0.054856,0.004404,0.026601,-0.03275,0.02386,-0.013429,-0.022249,0.034767,0.033815,-0.007048,0.006532,-0.025787,-0.002036
Anatolia_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437




Simulated_person,0.0950071,0.1271302,-0.0597318,-0.0389598,-0.039277,-0.004884,0.0129598,-0.003673,-0.0608505,-0.0138802,-0.0005303,0.0162423,-0.0356622,0.0015935,0.001514,-0.0131794,0.0199929,-0.0051112,-0.0042824,0.0095506,0.0126432,-0.0049639,0.0003363,-0.018997,0.0001313

Distance to: Simulated_person
0.03163327 Georgian_West
0.03269014 Georgian_Imer
0.03304694 Georgian_Lechkhumi
0.03318913 Georgian_Megr
0.03418862 Georgian_Ajar
0.03577044 Abkhasian
0.03580472 Georgian_Kakh
0.03590209 Georgian_Guria
0.03628262 Georgian_Svaneti
0.03647775 Abkhasian_Gudauta
0.03669752 Georgian_Ratcha
0.03695650 Georgian_Javakheti
0.03973724 Ahiska
0.03992211 Georgian_Kart
0.04143626 Georgian_Samtckhe
0.04159063 Georgian_Laz
0.04296016 Georgian_Mtiuleti
0.04539320 Andian_A
0.04613416 Georgian_NorthEast
0.04745903 Georgian_Tush
0.04836378 Georgian_Khevs
0.04909604 Armenian_Hemsheni
0.05218545 Ossetian
0.05342393 Turkish_Erzurum
0.05423057 Udi


So basically, "you" are Georgian. Your best distance with this sheet, because there is no Caucasian reference, is bad.


Distance to: Simulated_person
0.08908903 SW_Asia
0.11693770 Middle_East
0.12735398 Mediterranean_Islands
0.12945364 CHG
0.15843371 South_Europe
0.19144151 Central_Europe
0.20774026 North_Europe
0.21097567 East_Europe
0.22316297 North_Africa
0.24327719 Central_Asia


But when you run Single, you get a result like this:


Target: Simulated_person
Distance: 3.1609% / 0.03160923
47.6 CHG
26.6 South_Europe
25.2 Middle_East
0.6 Mediterranean_Islands


"Wow," you think, "That fit is not bad." But what is this even saying about you? It's not saying anything. You're not CHG + South Europe + Middle East + Mediterranean Islands; you're 1/2 CHG + 3/8 ANF + 1/8 Zagros, or in modern terms normal Caucasian, or even more specifically Georgian. The CHG is already built-in to a Caucasian reference; if you include it, the calculator will be actually saying something, and also you'll be preventing overfitting issues because you are minimizing overlap in your sources.

It's similar for WHG. Just because it makes the fit better, it doesn't mean anything if it is actively making the output of the calculator less meaningful. When is including WHG going to do anything except make the results confusing? We can take a look at a steppe-heavy source like Estonian for this:



Estonian,0.1329454,0.1141455,0.087756,0.0833017,0. 0427771,0.0297575,0.0113745,0.0144457,0.0004091,-0.028447,6.5e-05,-0.0123489,0.0194597,0.0213591,-0.0066639,0.0017104,0.0002216,-0.0024832,0.0013451,0.0022137,0.001385,-0.0018672,0.0042644,0.0007471,0.0030535

Distance to: Estonian
0.03238333 East_Europe
0.05562343 North_Europe
0.06114073 Central_Europe
0.16606226 South_Europe
0.18535247 Mediterranean_Islands
0.19009880 SW_Asia
0.24757386 Middle_East
0.26053162 Central_Asia
0.28400543 North_Africa
0.29677406 CHG
0.30689766 North_India
0.30819570 WHG
0.35223273 America_Arctic
0.35357397 Siberia
0.40419210 South_Asian
0.54116037 SE_Asia
0.55999437 NE_Asia
0.57830066 America_North
0.58914208 Oceania
0.60245303 East_Asian
0.61344885 East_Africa
0.68072865 America_Central
0.70205055 America_South
0.77933863 West_Africa
0.84025046 South_Africa


When we run it on your calculator as it is right now, with ADC:0.25, we get the following:



Target: Estonian
Distance: 2.7514% / 0.02751353 | ADC: 0.25x RC
94.8 East_Europe
5.2 WHG


But still, Estonians are not... East_European + WHG. Most East Europeans already has some WHG, and even so the thing that defines Estonian genetic composition is actually a large amount of EHG, not WHG. That has no meaning. Does it mathematically work better? Yes, but the point of calculators is not to maximize a fit. If we remove the WHG source, we get:



Target: Estonian
Distance: 3.2345% / 0.03234489 | ADC: 0.25x RC
96.6 East_Europe
3.4 North_Europe


(For the sake of brevity I will not include it here, but whilst there is still a tiny bit of noise when running ADC:NO, removing WHG decreased it by a bit.)

Now we have a modern source + a modern source, and it makes more sense.

[hazmatnik]

Target: Nikola_scaled
Distance: 3.2704% / 0.03270382
49.6 East_Europe
28.0 South_Europe
22.4 Mediterranean_Islands

[Julkka]

Target: Julkka_scaled
Distance: 3.9029% / 0.03902937
50.4 North_Europe
27.0 East_Europe
9.8 Siberia
9.4 WHG
3.4 NE_Asia

[cass]

Target: cass
Distance: 0.9262% / 0.00926152
47.8 Central_Europe
31.4 North_Europe
19.8 East_Europe
1.0 WHG

[Grace O'Malley]

Target: Grace_scaled
Distance: 2.9792% / 0.02979191
86.4 North_Europe
10.4 South_Europe
1.8 CHG
1.4 WHG

If I remove CHG and WHG this is my result.

Target: Grace_scaled
Distance: 3.0162% / 0.03016248
89.8 North_Europe
10.2 South_Europe

[JerryS.]

With all:

Target: JerryS_scaled
Distance: 2.5871% / 0.02587121
73.6 North_Europe
24.0 South_Europe
2.2 CHG
0.2 North_Africa

Minus Southern Europe:

Target: JerryS_scaled
Distance: 2.8706% / 0.02870602
80.0 North_Europe
19.8 Mediterranean_Islands
0.2 CHG

Minus Mediterranean Islands:

Target: JerryS_scaled
Distance: 3.2822% / 0.03282192
88.4 North_Europe
7.0 Middle_East
4.0 North_Africa
0.6 CHG

Seems a bit too generic.

[alexmegas777]

Distance to: alexmegas_scaled
0.05930526 Central_Europe
0.06049709 South_Europe
0.08128395 Mediterranean_Islands
0.08283604 North_Europe
0.08981590 East_Europe
0.11086460 SW_Asia
0.16056339 Middle_East
0.21459193 North_Africa
0.25266526 Central_Asia
0.25763573 CHG
0.29859509 North_India
0.36744930 WHG
0.36798273 America_Arctic
0.37730532 Siberia
0.39553513 South_Asian
0.54386955 SE_Asia
0.57420885 NE_Asia
0.59179468 Oceania
0.59274076 America_North
0.59948400 East_Africa
0.60629625 East_Asian
0.69114028 America_Central
0.71264041 America_South
0.77221549 West_Africa
0.83470201 South_Africa


Target: alexmegas_scaled
Distance: 2.3495% / 0.02349493
43.0 Central_Europe
36.6 South_Europe
9.2 Mediterranean_Islands
5.2 East_Europe
4.8 SW_Asia
1.2 CHG

[JerryS.]

Without CHG or WHG:


Target: JerryS_scaled
Distance: 2.6409% / 0.02640853
73.8 North_Europe
25.2 South_Europe
0.8 North_India
0.2 East_Africa


Without East_Africa or North_India:

Target: JerryS_scaled
Distance: 2.6553% / 0.02655322
74.8 North_Europe
23.4 South_Europe
1.4 Mediterranean_Islands
0.4 North_Africa

[ScandinavianCelt]

Without CHG or WHG:


Target: JerryS_scaled
Distance: 2.6409% / 0.02640853
73.8 North_Europe
25.2 South_Europe
0.8 North_India
0.2 East_Africa


Without East_Africa or North_India:

Target: JerryS_scaled
Distance: 2.6553% / 0.02655322
74.8 North_Europe
23.4 South_Europe
1.4 Mediterranean_Islands
0.4 North_Africa

It's doubtful most of us NW Europeans have modern Balochi ties, and the WHG would eventually work it's way through Latvia, so if you want to swap in these two for CHG and WHG, see if you pick up any of their areas in conjunction with the other samples in the calc. I'm guessing you tie to CHG but not modern Balochi:

Balochi,0.00605,0.0051083,-0.0266833,0.0095167,-0.0235917,0.0112917,0.002375,0.0006833,-0.0111167,-0.0114167,-0.0023917,-0.0014333,0.0026417,-0.005825,0.0117583,0.0227,-0.007775,0.0023083,0.0057833,-0.0212,-0.0008583,-0.0123,3e-04,-0.0133583,0.0114917
Latvian,0.1354494,0.122473,0.0887742,0.089471,0.04 3208,0.0340246,0.0125966,0.0140762,-0.002168,-0.0368842,-0.0035728,-0.0138178,0.0232208,0.031378,-0.010559,0.0040572,0.0027118,-0.0003802,0.0016088,0.0043022,-0.0027952,-0.0057128,0.0090708,-0.0093264,0.0026346

[ScandinavianCelt]

Target: Me_scaled
Distance: 2.9381% / 0.02938105
56.4 South_Europe
26.4 North_Europe
13.4 North_Africa
2.6 WHG
1.2 East_Africa

Target: Wife_scaled
Distance: 1.8985% / 0.01898452
44.2 America_Central
43.2 South_Europe
2.8 America_North
2.4 West_Africa
2.0 East_Africa
1.6 WHG
1.4 CHG
1.2 America_South
0.8 America_Arctic
0.4 South_Africa

I like that your wife utilizes all 4 American regions! Good fit for her too.

[Beowulf]

Target: Beowulf_Scaled
Distance: 0.0151% / 0.01511674
59.0 South_Europe
39.1 North_Europe
1.6 North_Africa
0.3 WHG

[JerryS.]

It's doubtful most of us NW Europeans have modern Balochi ties, and the WHG would eventually work it's way through Latvia, so if you want to swap in these two for CHG and WHG, see if you pick up any of their areas in conjunction with the other samples in the calc. I'm guessing you tie to CHG but not modern Balochi:

Balochi,0.00605,0.0051083,-0.0266833,0.0095167,-0.0235917,0.0112917,0.002375,0.0006833,-0.0111167,-0.0114167,-0.0023917,-0.0014333,0.0026417,-0.005825,0.0117583,0.0227,-0.007775,0.0023083,0.0057833,-0.0212,-0.0008583,-0.0123,3e-04,-0.0133583,0.0114917
Latvian,0.1354494,0.122473,0.0887742,0.089471,0.04 3208,0.0340246,0.0125966,0.0140762,-0.002168,-0.0368842,-0.0035728,-0.0138178,0.0232208,0.031378,-0.010559,0.0040572,0.0027118,-0.0003802,0.0016088,0.0043022,-0.0027952,-0.0057128,0.0090708,-0.0093264,0.0026346

As you suggested:

Target: JerryS_scaled
Distance: 2.6450% / 0.02644978
73.8 North_Europe
25.2 South_Europe
0.8 North_India
0.2 North_Africa

Minus North_India and North_Africa:

Target: JerryS_scaled
Distance: 2.6557% / 0.02655693
74.6 North_Europe
23.2 South_Europe
2.2 Mediterranean_Islands

No Balochi or Latvian on anything.

Removing Southern_Europe:

Target: JerryS_scaled
Distance: 2.8709% / 0.02870908
80.0 North_Europe
20.0 Mediterranean_Islands

Removing Mediterranean_Islands:

Target: JerryS_scaled
Distance: 3.3347% / 0.03334736
88.8 North_Europe
11.2 Middle_East

Mediterranean islands could go from Palma and Corsica to Cyprus and Crete... like Southern Europe can go from south France to Italy to Greece to Albania... just too generic for me. However the vast majority of my ancestry is from the North Sea region.

[Figaro]

Target: CordedMother
Distance: 1.3197% / 0.01319673
60.6 Central_Europe
22.6 North_Europe
12.4 East_Europe
1.6 Mediterranean_Islands
1.6 North_Africa
0.8 Central_Asia
0.4 North_India

Target: CordedFather
Distance: 1.8554% / 0.01855385
80.8 North_Europe
11.6 South_Europe
7.2 Mediterranean_Islands
0.4 America_Arctic

Target: CordedWife
Distance: 1.8404% / 0.01840393
27.4 South_Europe
23.2 North_Europe
17.0 America_Central
16.6 North_Africa
12.4 America_South
1.8 West_Africa
1.2 North_India
0.4 America_Arctic

Target: CordedFriend
Distance: 3.4887% / 0.03488677
62.6 North_Europe
35.4 South_Europe
1.6 CHG
0.4 North_India

[Kenshiro]

Target: Kenshiro_scaled
Distance: 2.4143% / 0.02414322
53.2 South_Europe
18.2 Mediterranean_Islands
15.0 SW_Asia
6.6 Central_Europe
5.8 CHG
1.2 East_Europe
Med guy
It's a good fit? I don't know

[ScandinavianCelt]

Target: Kenshiro_scaled
Distance: 2.4143% / 0.02414322
53.2 South_Europe
18.2 Mediterranean_Islands
15.0 SW_Asia
6.6 Central_Europe
5.8 CHG
1.2 East_Europe
Med guy
It's a good fit? I don't know

Looks reasonable. You are a bit SW_Asian shifted. If you remove SW_Asia does Middle_East show up?

K105 "Italy" get this:

Target: Italy
Distance: 1.0278% / 0.01027812
57.6 South_Europe
20.2 Mediterranean_Islands
12.4 Central_Europe
6.6 Middle_East
3.0 CHG
0.2 North_Europe

[noricum]

Target: G25noricum_scaled
Distance: 0.0236% / 0.02359534
38.9 East_Europe
28.1 North_Europe
22.8 South_Europe
9.9 Central_Europe
0.3 Mediterranean_Islands

[Eurafricanid]

Target: Eurafricanid_scaled
Distance: 1.6435% / 0.01643477
43.4 West_Africa
38.6 South_Europe
5.2 North_Europe
3.2 Middle_East
3.0 WHG
2.2 America_Central
2.2 South_Africa
1.6 East_Africa
0.4 America_South
0.2 North_India

[ScandinavianCelt]

Target: Eurafricanid_scaled
Distance: 1.6435% / 0.01643477
43.4 West_Africa
38.6 South_Europe
5.2 North_Europe
3.2 Middle_East
3.0 WHG
2.2 America_Central
2.2 South_Africa
1.6 East_Africa
0.4 America_South
0.2 North_India

If you take off the Western hunter gatherer where does that 3% go to?

[Eurafricanid]

If you take off the Western hunter gatherer where does that 3% go to?


Target: Eurafricanid_scaled
Distance: 1.8325% / 0.01832458
43.4 West_Africa
39.6 South_Europe
9.8 North_Europe
2.6 America_Central
2.4 South_Africa
1.6 East_Africa
0.4 North_India
0.2 Middle_East

[ScandinavianCelt]

Target: Eurafricanid_scaled
Distance: 1.8325% / 0.01832458
43.4 West_Africa
39.6 South_Europe
9.8 North_Europe
2.6 America_Central
2.4 South_Africa
1.6 East_Africa
0.4 North_India
0.2 Middle_East

Leaving it in there gives you a better fit and different results obviously for the Middle East potentially changing your minor pieces also but what do you think which one is more accurate for you do you think

[Eurafricanid]

Leaving it in there gives you a better fit and different results obviously for the Middle East potentially changing your minor pieces also but what do you think which one is more accurate for you do you think

I think the one without WHG is more accurate, because mixing very ancient populations with more modern ones is not the best, IMO.

[Fabricius]

Target: Fabricius_simulated_g25_scaled
Distance: 0.6313% / 0.00631325
44.6 South_Europe
30.4 North_Europe
12.0 North_Africa
6.8 East_Europe
5.8 West_Africa
0.4 WHG

Target: Fabricius_simulated_g25_scaled
Distance: 0.9717% / 0.00971700 | ADC: 0.25x
41.4 South_Europe
24.0 North_Europe
16.0 Central_Europe
13.0 North_Africa
4.8 West_Africa
0.8 Mediterranean_Islands



Distance to: Fabricius_simulated_g25_scaled
0.07655188 South_Europe
0.07689870 Mediterranean_Islands
0.09343450 Central_Europe
0.10579837 North_Europe
0.11711769 East_Europe
0.11908729 SW_Asia
0.15299521 Middle_East
0.16069342 North_Africa
0.24775673 Central_Asia
0.26562374 CHG
0.29242622 North_India
0.36134200 WHG
0.36306227 America_Arctic
0.37332147 Siberia
0.38431746 South_Asian
0.53104537 SE_Asia
0.53173464 East_Africa
0.56648447 NE_Asia
0.57522403 Oceania
0.58664821 America_North
0.59512390 East_Asian
0.68582598 America_Central
0.70350579 West_Africa
0.70870063 America_South
0.77439587 South_Africa

[EasternLusitanian]

Target: MV_scaled
Distance: 0.0244% / 0.02444978
64.8 South_Europe
17.3 North_Europe
15.0 North_Africa
2.9 WHG

Distance to: MV_scaled
0.04274100 South_Europe
0.06466943 Mediterranean_Islands
0.09948766 Central_Europe
0.11124119 North_Europe
0.12141686 SW_Asia
0.13140218 East_Europe
0.15051425 Middle_East
0.17689414 North_Africa
0.26362848 Central_Asia
0.27380202 CHG
0.30848795 North_India
0.36486711 WHG
0.37659514 America_Arctic
0.38687687 Siberia
0.40121154 South_Asian
0.54695978 SE_Asia
0.57195297 East_Africa
0.58025300 NE_Asia
0.58841388 Oceania
0.59956550 America_North
0.61095067 East_Asian
0.69634833 America_Central
0.71875981 America_South
0.74639409 West_Africa
0.81159136 South_Africa

[Pater Patota]

Target: PP_scaled
Distance: 1.6290% / 0.01629001
48.2 SW_Asia
22.4 Middle_East
16.4 CHG
12.4 South_Europe
0.6 North_India

[vasiliki23]

Target: VASILIKI_scaled
Distance: 2.9891% / 0.02989053
56.2 South_Europe
21.6 Mediterranean_Islands
19.2 East_Europe
3.0 CHG

[ScandinavianCelt]

Target: PP_scaled
Distance: 1.6290% / 0.01629001
48.2 SW_Asia
22.4 Middle_East
16.4 CHG
12.4 South_Europe
0.6 North_India

this breakdown looks good for your background

[Upsilander]

Target: Upsilander_Scaled
Distance: 2.3593% / 0.02359299
76.0 North_Europe
22.8 South_Europe
1.2 WHG


Without WHG

Target: Upsilander_Scaled
Distance: 2.3854% / 0.02385360
78.4 North_Europe
21.6 South_Europe


Distance to: Upsilander_Scaled
0.03604465 North_Europe
0.03807439 Central_Europe
0.06602775 East_Europe
0.10048572 South_Europe
0.13390150 Mediterranean_Islands
0.15894456 SW_Asia
0.21196953 Middle_East
0.25397193 North_Africa
0.27172025 Central_Asia
0.28198627 CHG
0.31720215 North_India
0.32772789 WHG
0.37594617 America_Arctic
0.37860476 Siberia
0.41782727 South_Asian
0.56034833 SE_Asia
0.58504104 NE_Asia
0.60282753 America_North
0.60756562 Oceania
0.61795682 East_Africa
0.62188645 East_Asian
0.70118306 America_Central
0.72262748 America_South
0.78794764 West_Africa
0.84792666 South_Africa

[unmoggable]

Target: unmoggable
Distance: 1.7007% / 0.01700713
75.6 North_Europe
21.4 South_Europe
3.0 CHG

0.03440945 North_Europe
0.04202906 Central_Europe
0.07179589 East_Europe
0.09767596 South_Europe
0.12285968 Mediterranean_Islands
0.14251646 SW_Asia
0.19534902 Middle_East
0.23935771 North_Africa
0.25434910 Central_Asia
0.26535053 CHG
0.29752767 North_India
0.33729100 WHG
0.36311682 America_Arctic
0.37102733 Siberia
0.39905691 South_Asian
0.54515718 SE_Asia
0.57307971 NE_Asia
0.59029197 America_North
0.59197992 Oceania
0.59992214 East_Africa
0.60814655 East_Asian
0.68910203 America_Central
0.71110018 America_South
0.77102352 West_Africa
0.83208605 South_Africa

[Vessna]

Target: Vessna_scaled
Distance: 2.1119% / 0.02111950
100.0 East_Europe