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Thread: Finally Danish samples in G25 (and French_Seine-Maritime and French_Pas-de-Calais)

  1. #1
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    Finally Danish samples in G25 (and French_Seine-Maritime and French_Pas-de-Calais)

    And bounch of Chinese samples and much more.

     
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  3. #2
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    Quote Originally Posted by ph2ter View Post
    And bounch of Chinese samples and much more.

    Question you for where do the Chinese plot on a PCA graph compared to the Japanese, Koreans, Vietnamese, Thais etc etc.

  4. #3
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    Thought my mum would be closer to Danes .

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  6. #4
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    England Star of David Netherlands Turkey Denmark Germany
    I ran my dad's coordinates with the full datasheet and he doesn't score any Danish, despite being 1/8. Unfortunately the Danish samples aren't available on the nmonte runner. If anyone feels like doing targeted runs for him with the Danish samples I'd appreciate it:

    ,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC1 2,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC2 2,PC23,PC24,PC25
    Dad_scaled,0.129758,0.142174,0.054682,0.03876,0.04 0007,0.012271,0.000235,0.003231,0.00859,0.00328,-0.007957,0.005545,-0.017393,-0.012248,0.029451,-0.002652,-0.020731,0.005574,0.005908,-0.007379,0.007861,0.009769,-0.002835,0.016147,0.004191

    ,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC1 2,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC2 2,PC23,PC24,PC25
    Dad,0.0114,0.014,0.0145,0.012,0.013,0.0044,0.0001, 0.0014,0.0042,0.0018,-0.0049,0.0037,-0.0117,-0.0089,0.0217,-0.002,-0.0159,0.0044,0.0047,-0.0059,0.0063,0.0079,-0.0023,0.0134,0.0035
    Paper trail:

    Father = 50% English (early American settlers), 25% Dutch, 12.5% Danish, 8% German + some Irish, Scottish and French

    Mother = 75% Ashkenazi Jewish (Russia/Ukraine) and 25% Sephardic (Turkey)

  7. #5
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    No additional Danish in my admixture results.


    Surprisingly far away from Sweden and Norway in genetic distance.

    Modern datasheet unscaled


    Modern datasheet scaled


    Modern pop averages scaled


    Coordinates
     
    Snkves_scaled,0.134311,0.117801,0.065619,0.05814,0 .048317,0.014223,0.003995,0.005769,0.005522,-0.000547,-0.006496,0.002248,-0.000446,-0.009083,0.012486,0.007425,0.002868,-0.000127,0.00176,0.004752,0.010981,0.006801,0.0017 25,0.011327,-0.007424

    Snkves_unscaled,0.0118,0.0116,0.0174,0.018,0.0157, 0.0051,0.0017,0.0025,0.0027,-0.0003,-0.004,0.0015,-0.0003,-0.0066,0.0092,0.0056,0.0022,-0.0001,0.0014,0.0038,0.0088,0.0055,0.0014,0.0094,-0.0062
    YSEQ: Y-DNA A0-T-A1-A1b-BT-CT-CF-F-GHIJK-HIJK-IJK-K-K2-K2b-P-P1-P-P337-P-P226-R-R-Y482-R1-R1a-M459-M198-M417-CTS4385-L664-S2894-S2880 "All known downstream branches have been confirmed negative."

    AncestryDNA V2 23andMe
    Cephalic Index: 70.64
    Bigonial breadth: 105 mm
    Facial Index: 95.79

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  9. #6
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    Here's what I got with the Danes. I'm closer to Danes than to Norwegians, Swedes, or Germans. After the Dutch, Danes are my next closest continental population.

    Distance to: Mitchell_scaled
    0.01574125 Scottish
    0.01608683 Orcadian
    0.01650065 Dutch
    0.01679174 Irish
    0.01745116 English
    0.01849932 Welsh
    0.01990622 Shetlandic
    0.02007365 Icelandic
    0.02087607 English_Cornwall
    0.02091615 Danish
    0.02265743 Norwegian
    0.02290444 French_Brittany
    0.02462293 German
    0.02495573 Swedish
    0.02831348 Afrikaner
    0.03224986 Belgian
    0.03527694 French_Seine-Maritime
    0.03567589 French_Nord
    0.03568766 French_Pas-de-Calais
    0.03707366 German_East
    0.03816683 Austrian
    0.03897587 French_Alsace
    0.04054976 French_Paris
    0.04186885 Swiss_German
    0.04211008 Czech
    Last edited by MitchellSince1893; 04-07-2020 at 04:48 AM.
    37% English, 26% Scot/Ulster Scot, 14% Welsh, 14% German, 3% Ireland, 3% Nordic, 2% French/Dutch, 1% India
    Hidden Content

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  11. #7
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    Distance to: Trelvern_scaled

    Code:
    0.01919055	French_Brittany
    0.02229306	Welsh
    0.02312409	English_Cornwall
    0.02315099	Belgian
    0.02420877	French_Nord
    0.02461122	English
    0.02629482	Scottish
    0.02704943	French_Paris
    0.02771466	Orcadian
    0.02776520	Irish
    0.02812430	French_Pas-de-Calais
    0.02936130	French_Alsace
    0.03003258	Afrikaner
    0.03064985	Swiss_German
    0.03068600	Dutch
    0.03085576	German
    0.03092048	French_Seine-Maritime
    0.03161421	Shetlandic
    0.03429936	French_Occitanie
    0.03475024	Danish
    0.03553250	Norwegian
    0.03789352	French_Auvergne
    0.03793997	Icelandic
    0.04104319	Austrian
    0.04112135	Swiss_French
    0.04464463	Swedish
    0.04600050	French_Provence
    0.04700839	Italian_Aosta_Valley
    0.04914864	German_East
    0.04964553	Spanish_Penedes
    0.05118265	Hungarian
    0.05158701	Spanish_Girona
    0.05175398	Spanish_Barcelones
    0.05208923	Spanish_Camp_de_Tarragona
    0.05213839	Spanish_Catalunya_Central
    0.05288305	Spanish_Lleida
    0.05367572	Spanish_Peri-Barcelona
    0.05425111	Czech
    0.05455691	Spanish_Mallorca
    0.05503982	French_South
    0.05555749	Spanish_Cantabria
    0.05618290	Italian_Northeast
    0.05623528	Spanish_Cataluna
    0.05695450	Croatian
    0.05697233	Spanish_Pirineu
    0.05719389	Spanish_Terres_de_l'Ebre
    0.05727934	Spanish_Pais_Vasco
    0.05729634	Spanish_Castello
    0.05732379	Slovenian
    0.05764069	Spanish_Navarra
    0.05790770	Spanish_Valencia
    0.05794439	Spanish_Aragon
    0.05810822	Spanish_Soria
    0.05844180	Spanish_Baleares
    0.05890893	Spanish_Alacant
    0.05901502	Spanish_Eivissa
    0.05960118	Basque_French
    0.05971488	Spanish_Galicia
    0.05974120	Italian_Trentino-Alto-Adige
    0.06033368	Spanish_Castilla_La_Mancha
    0.06147540	Montenegrin
    0.06156232	Spanish_Castilla_Y_Leon
    0.06205447	Basque_Spanish
    0.06308367	Italian_Veneto
    0.06363827	Bosnian
    0.06428589	Spanish_Asturias
    0.06437611	Spanish_Menorca
    0.06448588	Romanian
    0.06459113	Portuguese
    0.06506002	Spanish_Andalucia
    0.06593729	Serbian
    0.06603287	Spanish_Extremadura
    0.06633121	Spanish_Murcia
    0.06764296	Slovakian
    0.06842817	Italian_Bergamo
    0.07064837	Italian_Lombardy
    0.07216174	Bulgarian
    0.07240457	Italian_Liguria
    0.07253924	Swiss_Italian
    0.07299776	Macedonian
    0.07404598	Moldovan
    0.07409183	Italian_Piedmont
    0.07430364	Spanish_La_Rioja
    0.07600359	Polish
    0.07687745	Moldovan_o
    0.07888912	Gagauz
    0.08017420	Sorb_Niederlausitz
    0.08238532	Ukrainian
    0.08326593	Italian_Tuscany
    0.08417839	Cossack_Ukrainian
    0.08530472	French_Corsica
    0.08735802	Spanish_Canarias
    0.08804970	Greek_Thessaly
    0.08865373	Russian_Orel
    0.08867775	Greek_Central_Macedonia
    0.08877540	Russian_Voronez
    0.08961401	Albanian
    0.09121970	Russian_Kursk
    0.09167746	Turkish_Balkans
    0.09244751	Russian_Smolensk
    Last edited by Trelvern; 04-07-2020 at 06:42 AM.

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  13. #8
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    Quote Originally Posted by timberwolf View Post
    Question you for where do the Chinese plot on a PCA graph compared to the Japanese, Koreans, Vietnamese, Thais etc etc.





    Last edited by ph2ter; 04-07-2020 at 06:54 AM.
     
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    Asia clustering:

     
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    Quote Originally Posted by timberwolf View Post
    Question you for where do the Chinese plot on a PCA graph compared to the Japanese, Koreans, Vietnamese, Thais etc etc.


     
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