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Thread: Vahaduo Online tool for G25

  1. #101
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    Quote Originally Posted by Dorkymon View Post
    I broke it a bit if you guys want to avoid getting the error for too much data (i.e. when runnnig the full non-averaged datasheet). Tip: set aggregate to "no" on the "Single" tab; if something breaks by giving you a distance of NaN then run it again.

    https://drive.google.com/open?id=1EO...x9tTV2hCfbBUPN


    Unscaled

     


    Distance to: Dorkymon
    0.01085449 Montenegrin:Montenegro1
    0.01355507 Bosnian:Bosnian_14
    0.01556438 Bulgarian:Bulgaria1
    0.01566046 Croatian:Croatia_Cro198
    0.01716217 Croatian:Croatia_Cro26
    0.01716275 Austrian:Austria13
    0.01719215 Bosnian:Bosnian_13
    0.01805021 Bulgarian:BulgarianE2
    0.01817581 Croatian:Croatia_Cro133
    0.01820247 Austrian:Austria7
    0.01923460 Bosnian:Bosnian_10
    0.02049317 Bosnian:Bosnian_12
    0.02077956 Austrian:Austria16
    0.02130634 Croatian:Croatia_Cro305
    0.02163261 Bulgarian:BulgarianD6
    0.02245707 Croatian:Croatia_Cro141
    0.02312207 Bell_Beaker_CZE:I4945
    0.02359576 Austrian:Austria15
    0.02498299 Croatian:Croatia_Cro43
    0.02499640 Czech:NA15726
    0.02500340 CZE_Early_Slav:RISE569
    0.02602326 Czech:NA15730
    0.02635811 Albanian:ALB202
    0.02641931 Bulgarian:BulgarianF2
    0.02649528 Albanian:ALB191


    Target: Dorkymon
    Distance: 0.1548% / 0.00154840
    16.6 Anatolia_Barcin_N:I0723
    12.2 Mordovian:MOE-485
    10.4 Montenegrin:Montenegro1
    8.8 Baltic_EST_BA:0LS11_1
    7.0 Latvian:latvian54A2
    6.8 Yamnaya_RUS_Kalmykia:RISE546
    6.0 UKR_Chernyakhiv_Shyshaky:MJ37
    4.4 Russian_Kursk:RussianKursk9
    3.2 German:German26
    2.6 Dutch:Netherlands59
    2.4 Levant_ISR_Ashkelon_IA1:ASH068
    2.2 DEU_LBK_N:I2030
    1.8 IRN_Seh_Gabi_LN:I1671
    1.8 RUS_Sintashta_MLBA:I0942
    1.6 Polisholish1
    1.4 Naxi:HGDP01344
    1.2 German:German32
    1.2 TKM_Tepe_Anau_En:I4085
    1.0 Moldavian:MOL-064
    1.0 Mordovian:MOE-451
    1.0 Polisholish9
    0.8 Korean:Korean2
    0.8 Kurdish:KRD-45
    0.6 She:HGDP01327
    0.4 Anatolia_Isparta_EBA:I2499
    0.4 Dutch:Netherlands28
    0.4 Estonian:Est400
    0.4 IRN_Tepe_Hissar_C:I2925
    0.2 Dungan:UZB-422
    0.2 Dutch:Netherlands24
    0.2 Even:even1574
    0.2 German:German16
    0.2 IRN_Tepe_Hissar_C:I2922
    0.2 Itelmen:Kor62
    0.2 Itelmen:Kor78
    0.2 SWE_Viking_Age_Sigtuna:vik_urm161



    Scaled

     


    Distance to: Dorkymon
    0.02917600 Bosnian:Bosnian_14
    0.02965516 Hungarian:NA15207
    0.03340172 Italian_Northeast_o:ALP188
    0.03357705 Bosnian:Bosnian_13
    0.03454474 Croatian:Croatia_Cro26
    0.03575208 Bosnian:Bosnian_10
    0.03598328 Croatian:Croatia_Cro198
    0.03616416 Croatian:Croatia_Cro305
    0.03824405 Bosnian:Bosnian_12
    0.03870112 Austrian:Austria13
    0.03886821 Austrian:Austria7
    0.03921282 Bulgarian:BulgarianE2
    0.03961951 Croatian:Croatia_Cro133
    0.03973812 Italian_Northeast:ALP220
    0.04014438 HUN_MA_Szolad:SZ5
    0.04019205 Bulgarian:Bulgaria1
    0.04041031 Bulgarian:BulgarianF2
    0.04209281 Croatian:Croatia_Cro141
    0.04217645 Bell_Beaker_CZE:I4945
    0.04287804 HUN_MAA199
    0.04361270 Austrian:Austria16
    0.04405555 Italian_Trentino-Alto-Adige_o:ALP414
    0.04616297 Italian_Northeast:ALP435
    0.04619425 Croatian:Croatia_Cro43
    0.04691328 Austrian:Austria9

    Target: Dorkymon
    Distance: 0.3117% / 0.00311734
    13.8 Mordovian:MOE-485
    12.8 Anatolia_Barcin_N:I0723
    8.6 Latvian:latvian54A2
    7.6 Baltic_EST_BA:0LS11_1
    6.0 Anatolia_Isparta_EBA:I2499
    5.6 Montenegrin:Montenegro1
    5.2 Polisholish1
    5.0 Yamnaya_RUS_Kalmykia:RISE546
    4.4 Russian_Kursk:RussianKursk9
    3.6 Dutch:Netherlands59
    3.4 Levant_ISR_Ashkelon_IA1:ASH068
    3.0 German:German26
    2.4 German:German32
    2.4 IRN_Tepe_Hissar_C:I2922
    2.4 RUS_Sintashta_MLBA:I0942
    2.0 UKR_Chernyakhiv_Shyshaky:MJ37
    1.4 GRC_Minoan_Lassithi:I9005
    1.4 Moldavian:MOL-064
    1.4 Naxi:HGDP01344
    1.0 Bosnian:Bosnian_14
    1.0 DEU_LBK_N:I2030
    1.0 Korean:Korean2
    1.0 Ukrainian:Ukrainian3
    0.6 Dutch:Netherlands24
    0.6 Romanian:A362
    0.4 Anatolia_Barcin_N:I0724
    0.4 Belgian:Belgium7
    0.4 Even:even2682
    0.4 KAZ_Kairan_MLBA:I4567
    0.4 Turkmen:UZB102_turkmen
    0.2 Irish:Irish38
    0.2 Kurdish:KRD-45

    I broke it even further, for those who are interested, by increasing the number of cycles to 1000 (nMonte's default).

    https://drive.google.com/open?id=1EO...x9tTV2hCfbBUPN
    Recent ancestry: 2/4 Central Moldova (Orhei district), 1/4 Southern Moldova (Cahul district), 1/4 Northern Moldova (Briceni district)
    Hidden Content

    Hidden Content

  2. #102
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    H1a1

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    Quote Originally Posted by Dorkymon View Post
    I broke it even further, for those who are interested, by increasing the number of cycles to 1000 (nMonte's default).

    https://drive.google.com/open?id=1EO...x9tTV2hCfbBUPN
    How to open?
    Hidden Content

    Eurogenes K13 Mixed Mode Population Sharing:
    1. 63.1% Swedish + 36.9% Spanish_Andalucia @ 2.93

    Dodecad K12b
    1. 87,89% Szolad3 + 12,11% CHV001_Chalmny_Varre_18th-19th @ 1,131
    7. 66.4% Norwegian + 33.6% TSI30 (Metspalu) @ 3.24


     

    Target: Nino
    Distance: 1.5423% / 0.01542331
    55.0 ISL_Viking_Age_Norse
    36.6 ITA_Rome_Latini_IA
    8.4 FIN_Levanluhta_IA2


  3. #103
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    Quote Originally Posted by Nino90 View Post
    How to open?
    Download the file and open it with your browser.
    Recent ancestry: 2/4 Central Moldova (Orhei district), 1/4 Southern Moldova (Cahul district), 1/4 Northern Moldova (Briceni district)
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  5. #104
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    How can I understand the outcome?

  6. #105
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    Quote Originally Posted by Szigmund View Post
    How can I understand the outcome?
    What sheet did you run ?
    Hidden Content

    Eurogenes K13 Mixed Mode Population Sharing:
    1. 63.1% Swedish + 36.9% Spanish_Andalucia @ 2.93

    Dodecad K12b
    1. 87,89% Szolad3 + 12,11% CHV001_Chalmny_Varre_18th-19th @ 1,131
    7. 66.4% Norwegian + 33.6% TSI30 (Metspalu) @ 3.24


     

    Target: Nino
    Distance: 1.5423% / 0.01542331
    55.0 ISL_Viking_Age_Norse
    36.6 ITA_Rome_Latini_IA
    8.4 FIN_Levanluhta_IA2


  7. #106
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    Hello there!

    So, I am basically new for this autosmal-stuff. With Vahadou tool (thank you for the link!) I try to collect relevant datas, so I try to use different sheets (for example what I can find here, in the forum topics).
    So, I run for example the "0 - 1000 BCE (Iron Age) G25 Fun Calculator" found at https://anthrogenica.com/showthread....Fun-Calculator

    To the target I copy my scaled data, and the outcome at Distance is:
    0.04244235 PONTIC-BALTIC
    0.04392484 PANNONIAN
    0.05410922 CELTIC-NORTHWEST
    0.06016379 CELTIC-SOUTHEAST
    0.07264935 NORDIC
    0.07872274 PANNONIAN-PONTIC
    0.08027903 PONTIC
    0.08209882 ILLYRIAN
    0.08933994 CENTRAL-EUROPEAN-PONTIC
    0.10471659 MACEDONIAN
    0.11235114 IBERIAN
    0.11710337 CIMMERIAN
    0.11710758 SARMATIAN
    0.11763515 SARMATIAN-POKROVKA
    0.12164874 BALTIC
    0.12329447 SARMATIAN-WEST
    0.12384599 SARMATIAN-URALS
    0.13485496 ANATOLIAN
    0.13505635 ALANIC
    0.13726170 CENTRAL-ASIAN-INDOEUROPEAN
    0.13754432 EASTERN-IRANIAN
    0.14084153 GREEK
    0.14843593 SOUTH-SIBERIAN
    0.16046057 STEPPE-NOMADS
    0.17647293 NORTHWESTERN-IRANIAN

    Am I right, if I am saying that it's means that I am relatively close to the Pontic-Baltic, Pannonian and the Celtic sample? But it is close, or just closer than the Northwestern-Iranian sample? Is it means I have a lots of shared features, maybe I am related to them?

    If I push the "Single" button, the outcome is:

    Distance: 2.5371% / 0.02537065
    Aggregated
    36.2 PONTIC-BALTIC
    30.4 ILLYRIAN
    15.2 BALTIC
    9.0 CIMMERIAN
    8.0 PONTIC
    0.8 EAST-HUNNIC-MONGOLIAN
    0.4 IBEROMAURUSIAN

    What does the "Distance: 2.5371% / 0.02537065" means? Is it relatively reliable, because we have old sources, or it's means that is totally not reliable?

    36.2 PONTIC-BALTIC
    30.4 ILLYRIAN

    Those numbers are "high"? Is it means I am 36.2% Pontic-Baltic, or I have 36.2% common "parts" with the Pontic-Baltic sample?

  8. #107
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    Western Norway
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    U5b1b1(T16192C)
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    R1b-U152
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    H13a1a

    Easy to use tool for G25 scaled data..

    http://eurogenes.blogspot.com/2019/1...ever-been.html

    While I am hesitant to use G25 before there are any Danish samples. I have found that even a sleep deprived father can run this tool in between nappy changing

    I ran my grandmother up against the "pop avg" ancients and her closest match was, as was expected, Anglosaxons (a stand-in for Norwegians with Danish ancestry I guess):

     

    Distance

    Grandmother_scaled

    England_Saxon 0.01692595
    England_MBA 0.02301665
    DEU_MA 0.02302195
    SWE_Viking_Age_Sigtuna 0.02475527
    England_IA 0.02511814
    England_Roman 0.02544463
    IRL_BA 0.02699153
    Wales_CA_EBA 0.02748072
    CZE_Unetice_EBA 0.02775648
    SWE_IA 0.02780323
    England_CA_EBA 0.02794925
    Scotland_LBA 0.02860179
    Scotland_MBA 0.02911708
    Bell_Beaker_Mittelelbe-Saale 0.02916347
    CZE_Bilina_BA 0.02979409
    DEU_Halberstadt_LBA 0.03062239
    DEU_Unetice_EBA 0.03100379
    SVK_Poprad_MA 0.03109998
    Bell_Beaker_CZE 0.03200687
    Bell_Beaker_England 0.03228115


    Then I did the same for the modern "pop avg" samples:

     

    Distance

    Grandmother_scaled:

    Norwegian 0.01451742
    Icelandic 0.01566638
    Swedish 0.01651092
    Dutch 0.01851419
    Shetlandic 0.01945581
    Scottish 0.02044468
    Orcadian 0.02092100
    Irish 0.02181008
    English 0.02386838
    Welsh 0.02419816
    English_Cornwall 0.02658906
    French_Brittany 0.02754158
    German 0.02825284
    German_East 0.03552494
    Czech 0.03667670





    Looks like I might have to eat my hat here, as G25 seems to work much better than before :O
    Last edited by evon; 11-05-2019 at 09:39 PM.

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  10. #108
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    0114
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    Y-DNA (P)
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    mtDNA (M)
    H1a3a1

    England North of England Ireland Scotland Germany Romani Star of David
    We already have a thread about Vahaduo: https://anthrogenica.com/showthread....e-tool-for-G25

    It is a very good tool. I had no idea how to use G25 before discovering it.
    Target: mildlycurly_scaled
    Distance: 1.3578% / 0.01357814
    57.0 Irish
    37.6 English
    2.6 Roma_Barcelona
    1.8 Ashkenazi_Germany
    1.0 Roma_Granada


    Current research interest(s): The Viscontis of Milan

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  12. #109
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    K2a5a

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    This is the Linux of DNA apps. Nothing more user-friendly?

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     mildlycurly (11-06-2019)

  14. #110
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    Quote Originally Posted by Björnsson View Post
    This is the Linux of DNA apps. Nothing more user-friendly?
    It's not too bad at all. Literally, you can start with cutting and pasting existing calculators on this sub-forum into "source," then cut and paste other coordinates into "target," go to Multi and click "run."

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     Björnsson (11-06-2019),  evon (11-06-2019)

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