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Thread: Global Regions Calc K25 v1

  1. #21
    Veteran Member celticdragongod's Avatar
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    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

  2. #22
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    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
    Anglo Saxon + Frank (4.336)
    Viking Danish + Frank (4.338)
    Gael + Frank (4.39)
    Anglo Saxon (4.393)
    Viking Danish + Anglo Saxon (4.568)

  3. #23
    خايف من اللغة العربية؟ sacha's Avatar
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    Quote Originally Posted by ScandinavianCelt View Post
    Because of their plots on the PCA and where they represent as a result:

    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:
    Code:
    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
    Code:
     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.
    Code:
    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:
    Code:
    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:

    Code:
    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:

    Code:
    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:

    Code:
    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.
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  4. #24
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    Target: Nikola_scaled
    Distance: 3.2704% / 0.03270382
    49.6 East_Europe
    28.0 South_Europe
    22.4 Mediterranean_Islands

  5. #25
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    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

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

  7. #27
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    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

  8. #28
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    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.

  9. #29
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    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
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  10. #30
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    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

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