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Thread: The kitchen of Global25

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    Default The kitchen of Global25

    Reduce - 5 populations
    Aggregate - yes



    Code:
    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
    Last edited by Loki; 06-27-2024 at 12:34 PM.

  2. #2
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    Default

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

  3. #3
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    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


    Spoiler!

    ( Do not DM me asking for classifications please )

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    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

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    Quote Originally Posted by ScandinavianCelt View Post
    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):

    Code:
    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:





    "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:

    Code:
    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.

    Code:
    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




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

    Code:
    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.























    Quote Originally Posted by Vessna View Post
    Not really sure what was the point
    It demonstrates "pure components" which were designed by the author of G25, David Wesolowski.
    Last edited by Russki; 06-25-2024 at 07:52 PM.

  6. #6
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    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
    Last edited by Vessna; 06-25-2024 at 06:49 PM.

  7. #7
    Senior Member Kiel's Avatar
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    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

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    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

  9. #9
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    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


    "Amicus Plato, sed magis amica veritas"

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    Veteran Member ScandinavianCelt's Avatar
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    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

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