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Thread: Modern UNscaled global calc

  1. #21
    Veteran Member ScandinavianCelt's Avatar
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    Quote Originally Posted by rothaer View Post
    Neither me.



    However, you can merge the raw data and send them a merged kit for calculating your G25 coords.
    I just averaged the coords on Exploreyourdna's averaging tool and I get this:

    Target: UNscaled_Brad_Averaged
    Distance: 0.7026% / 0.00702626 | ADC: 2x RC
    53.2 Scandinavian
    46.8 British_Irish

    Target: UNscaled_Brad_Averaged
    Distance: 0.5588% / 0.00558774 | ADC: 0.5x RC
    74.4 British_Irish
    14.2 Finnish
    6.6 Scandinavian
    3.0 North_Caucasian
    1.2 Pamirian
    0.6 Volgan

    Target: UNscaled_Brad_Averaged
    Distance: 0.4363% / 0.00436306
    63.8 Celtic
    9.2 Finnish
    7.8 British_Irish
    7.2 Scandinavian
    6.0 East_Euro
    1.4 NE_Asian
    1.2 South_Indian
    1.2 Uralic
    0.8 South_Caucasian
    0.6 South_African_HG
    0.4 North_African
    0.2 Nilotic
    0.2 Papuan

  2. #22
    Veteran Member ScandinavianCelt's Avatar
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    Quote Originally Posted by nittionia View Post
    No ADC using 23andme and Ancestry data:

    Target: nittionia
    Distance: 1.5273% / 0.01527329
    63.4 Scandinavian
    26.8 North_Iberian
    9.4 Turkic_Altai
    0.4 Melanesian

    Target: nittionia
    Distance: 1.1862% / 0.01186238
    38.0 Celtic
    23.0 North_Iberian
    17.2 North_Sea_Germanic
    10.2 West_Finnic
    9.2 Turkic_Altai
    2.2 Scandinavian
    0.2 Melanesian
    Make an averaged set of coords for yourself here:

    https://www.exploreyourdna.com/average-g25.aspx

  3. #23
    🐸 nittionia's Avatar
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    Quote Originally Posted by ScandinavianCelt View Post
    Make an averaged set of coords for yourself here:

    https://www.exploreyourdna.com/average-g25.aspx

    Target: nittioniaAveraged
    Distance: 1.3013% / 0.01301276
    58.2 Scandinavian
    25.0 North_Iberian
    10.0 Turkic_Altai
    6.4 Celtic
    0.4 Melanesian

  4. #24
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    Target: Rædwald_unscaled
    Distance: 0.5455% / 0.00545463
    63.6 British_Irish
    15.8 East_Euro
    13.2 North_Iberian
    3.2 Uralic
    1.4 Amazonian
    1.4 South_Chinese
    0.8 South_Indian
    0.6 Bengali_Northeast_Indian

    Target: Rædwald_unscaled
    Distance: 0.7844% / 0.00784415 | ADC: 0.5x RC
    45.8 British_Irish
    44.0 French_German
    6.0 Finnish
    4.2 Volgan

    Code:
    Distance to:	Rædwald_unscaled
    0.01168522	French_German
    0.01244137	British_Irish
    0.01289906	North_Sea_Germanic
    0.01406483	Scandinavian
    0.01551344	Celtic
    0.02711163	Spain_Portugal
    0.02730275	East_Iberian
    0.03110156	Finnish
    0.03365478	Greek_Balkan
    0.03589715	North_Iberian
    0.03619883	Italian
    0.03787690	Eastern_European
    0.03808235	Central_Med
    0.03832605	East_Euro
    0.04089566	Ashkenazi_Jewish
    0.04157388	Paleo_Balkan
    0.04199967	West_Finnic
    0.04692700	Central_Asian
    0.04809214	Anatolian
    0.04822949	Pamirian
    0.05291113	North_Caucasian
    0.05447332	Cypriot
    0.05454866	Iranian_Caucasian_Mesopotamian
    0.05593379	Baltic
    0.05611773	Levantine
    Anglo Saxon + Frank (4.336)
    Viking Danish + Frank (4.338)
    Gael + Frank (4.39)
    Anglo Saxon (4.393)
    Viking Danish + Anglo Saxon (4.568)

  5. #25
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    Quote Originally Posted by ScandinavianCelt View Post
    Make an averaged set of coords for yourself here:

    https://www.exploreyourdna.com/average-g25.aspx
    Quote Originally Posted by nittionia View Post
    Target: nittioniaAveraged
    (...)
    I consider that a wrong approach and it does also not approximate what I suggested with a merged kit.

    Often you have a kit with many evaluated by the G25 calculation SNPs (OmniExpress chip data) and one with notably fewer (GSA chip data). The run with fewer evaluated SNPs gives ZERO additional information compared to that with more evaluated SNPs. So making that in any way effective by using it for making an average is a big wrong. It should be completely ignored. Otherwise you simply pollute a good result that is based on a high number of evaluated SNPs.

    Merging the raw data is another story. Because nothing of the raw data is wrong and you will then achieve a run with a little bit more evaluated SNPs compared to the OmniExpress chip data only. Then that result should be taken as the sole result.

    Only if you have two runs with different results and essentially equally many evaluated SNPs, creating and using an average is a reasonable measure.
    Target: rothaer_scaled
    Distance: 1.0091% / 0.01009085

    39.8 (Balto-)Slavic
    39.0 Germanic
    19.2 Celtic-like
    1.8 Graeco-Roman
    0.2 Finnic-like

  6. #26
    Senior Member brunolord20's Avatar
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    to iberian people delete Sardinia , West_Med or you will get overfit , if you not have east iberia ancestry is necessary delete aswell

    Target: NightmareCity_unscaled
    Distance: 1.5889% / 0.01588923 | ADC: 0.25x RC
    52.8 Spain_Portugal
    10.2 Andean
    8.0 Ghanaian_Liberian_SierraLeonean
    7.0 Nigerian
    6.8 Angolan_Congolese
    5.8 Scandinavian
    4.6 Central_Med
    1.8 Melanesian
    1.8 Southern_East_African
    1.2 Tibeto_Burman

    Target: NightmareCity_unscaled
    Distance: 1.2723% / 0.01272298
    29.2 North_Iberian
    15.2 Nigerian
    11.8 Central_Med
    10.2 Andean
    10.2 Spain_Portugal
    9.2 Scandinavian
    6.8 Angolan_Congolese
    2.4 Southern_East_African
    1.8 Melanesian
    1.2 Southern_Indian_SriLankan
    1.0 Uralic
    0.8 North_African
    0.2 Tibeto_Burman

  7. #27
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    Target: Me
    Distance: 1.7746% / 0.01774589 | ADC: 0.5x RC
    87.6 Spain_Portugal
    7.2 Ashkenazi_Jewish
    5.2 Uralic

    Target: Wife
    Distance: 1.2644% / 0.01264442 | ADC: 0.5x RC
    49.8 Andean
    22.4 North_Iberian
    19.0 Italian
    5.0 West_Med
    3.8 North_Amerindian
    [1] "distance%=1.7256"

    West_Iberia_IA,54.4
    Roman_Colonial,17.6
    Berber_EMA,10.8
    Germanic,10.6
    Scotland_EIA,6.6

  8. #28
    Senior Member brunolord20's Avatar
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    In reddit some people said some raw datas have snps another one not have so i think merge should be for that, if you have pattern of snps in a 1 raw data and another one not have the same pattern result shouldnt be the same, a practical example would be correspondence matches, in some raw data you get a match with a certain person in another raw data this may not happen because they are not the same snps collected, the collection is made from several different parts of the DNA, if one company did not use the same snp pattern that was used in the other raw data, its final result and its dna matches may have a slight difference, this will be more noticeable in matches with smaller shared segments, Another practical example would be a person taking two tests with the same company and getting slightly different results, this happens due to the snps collection process, but that will not happen if you just upload the same raw data because is just same pattern of snps
    Last edited by brunolord20; 04-11-2024 at 02:02 AM.

  9. #29
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    Target: Stahl
    Distance: 0.8114% / 0.00811427
    82.0 North_Sea_Germanic
    13.4 West_Finnic
    1.4 Turkic_Altai
    1.2 North_Iberian
    0.6 French_German
    0.6 Sudanese
    0.4 NE_Asian
    0.4 South_African_HG
    Last edited by PlattitüdenPaule; 04-11-2024 at 02:40 AM.
    Runen raunen rechten Rat, über eiserne Felder nun zur Tat!

  10. #30
    Veteran Member Pedro Ruben's Avatar
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    Target: Pedro
    Distance: 1.3885% / 0.01388531 | ADC: 0.5x RC
    68.4 Spain_Portugal
    13.2 Ashkenazi_Jewish
    9.6 British_Irish
    4.4 Ethiopian_Eritrean
    4.4 Finnish

    Target: Dad
    Distance: 1.4714% / 0.01471429 | ADC: 0.5x RC
    77.6 Spain_Portugal
    11.8 North_African
    10.6 East_Euro

    Target: Mom
    Distance: 1.0752% / 0.01075215 | ADC: 0.5x RC
    69.4 Spain_Portugal
    15.8 British_Irish
    14.8 North_Iberian
    Target: Pedro_scaled
    Distance: 0.6354% / 0.00635357
    54.2% Iberia
    21.6% Scotland
    12.4% North Africa (Tunisian Berber)
    8.6% Italia (Lazio)
    2.4% West Africa (Gambian)
    0.8% South America (Amerindian Caribe)

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