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Thread: K36 Eurogenes (Unofficial) Oracle and other ancestry tools

  1. #3601
    Banned
    Posts
    6,336
    Sex
    Location
    Torun
    Ethnicity
    Central 75% + 25% Mazovia
    Nationality
    Pole
    Y-DNA (P)
    R1a > M198 > YP 1337

    Poland
    Quote Originally Posted by Offstage View Post
    Hi, 3 € sent, it's for a close relative.

    Gedmatch K36

    Amerindian 0.32
    Arabian 3.69
    Basque 0.56
    Central_Euro 1.60
    East_Balkan 2.05
    East_Central_Euro 1.80
    East_Med 1.33
    Fennoscandian 4.27
    French 9.25
    Iberian 19.74
    Italian 17.47
    Near_Eastern 4.57
    North_African 12.41
    North_Atlantic 6.37
    North_Sea 4.61
    Northeast_African 3.60
    Omotic 0.73
    Pygmy 0.37
    west_African 2.62
    West_Med 2.55
    nMonte3

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCE%"
                  Portugal        Spain_Canarians         Islas_Baleares                Galicia 
                  13.08444               14.19264               16.90108               17.24495 
               IT_Piedmont              Andalusia             FR_Central Principado_de_Asturias 
                  17.33766               17.78794               17.80335               18.43842

    [1] "distance%=8.9535"

    Portugal,48.4
    Morocco,9
    Tunisia,7.2
    Sephardi_Portugal_Belmonte,6.4
    Castilla-La_Mancha,6
    Algieria,5
    FR_Central,4.8
    Rheinland-Pfalz,1.6
    Tirol,1.6
    Walloons,1.2
    IT_Tuscany,1
    Spain_Canarians,0.8
    Hessen,0.6
    IT_North,0.6
    IT_Veneto,0.6
    Galicia,0.4
    Islas_Baleares,0.4
    IT_Friuli,0.4
    Principado_de_Asturias,0.4
    Swiss_German,0.4
    Austria,0.2
    Bantu_Central_Africa,0.2
    England_North-West,0.2
    England_South-East,0.2
    Ethiopian_Jew,0.2
    GR_Eubea,0.2
    GR_Thessaly,0.2
    IT_Piedmont,0.2
    Libyan,0.2
    Malta,0.2
    Mandingo,0.2
    Poland_Ashkenazy,0.2
    Saarland,0.2
    Somali,0.2
    South-West_Finns,0.2
    Yoruba,0.2


    https://fusiontables.google.com/embedviz?q=select+col39%3E%3E1+from+19zEgvBFKTC8g-DgOWOAI5kW99dkeYNEGQ8hZZEti&viz=MAP&h=false&lat=41 .89376333738025&lng=14.372858125000008&t=1&z=4&l=c ol39%3E%3E1&y=2&tmplt=2&hml=KML




    • Portugal 0,90236
    • Spain_Canarians 0,87
    • Castilla-La Mancha 0,86976
    • Principado de Asturias 0,85601
    • Islas Baleares 0,85342
    • Castilla y León 0,85038
    • SP_Galicia 0,85033
    • Andalusia 0,84464
    • Comunidad de Madrid 0,84241
    • Comunidad Valenciana 0,83031
    • Sephardi_Portugal(Belmonte) 0,82785
    • Cataluna 0,82322
    • Swiss_Italian 0,82197
    • FR_Central 0,81472
    • IT_Piedmont 0,81161
    • IT_Aosta 0,80333
    • FR_South 0,80318
    • Cantabria 0,79954
    • FR_mixed 0,79785
    • IT_North 0,7975
    • Aragón 0,77309
    • IT_Friuli 0,77086
    • IT_Tuscany 0,76582
    • Extremadura 0,75574
    • IT_Veneto 0,75284
    • Dutch_Ashkenazy 0,73851
    • FR_Corsica 0,73831
    • La Rioja 0,72492
    • Swiss_German 0,72479
    • IT_Lazio 0,72107
    • IT_Marche 0,71651
    • FR_North-East 0,70993
    • Rheinland-Pfalz 0,70354
    • Baden-Württemberg 0,69895
    • Walloons 0,69029
    • Saarland 0,67836
    • Tunisia 0,67785
    • FR_North-West 0,67491
    • Tirol 0,67215
    • Flemish 0,65778
    • FR_West 0,65665
    • FR_Brittany 0,6528
    • Hessen 0,6355
    • IT_Abruzzo 0,63455
    • Sicily_Trapani 0,62783
    • GR_Eubea 0,62497
    • Albanians Montenegro 0,61914
    • North_Albania 0,61498
    • Sicily_Palermo 0,61482
    • Kosovo 0,61435
    • Malta 0,61414
    • Algierians 0,61242
    • South_Albania 0,60612
    • Sicily_Agrigento 0,60224
    • Albanians_FYROM 0,60172
    • FR_South-West 0,59616
    • Donau_Schwabem 0,59563
    • Sicily_Caltanisetta 0,59122
    • Bayern 0,59073
    • Dutch_Limburg 0,58986
    • IT_Campania 0,58782
    • Ipeiros 0,58718
    • IT_Apulia 0,58616
    • England_South-West 0,58327
    • Sephardi_Bulgaria 0,58248
    • Morocco 0,58095
    • GR_Thessaly 0,58077
    • Austria 0,5768
    • France_Ashkenazy 0,57446
    • Montenegro 0,57336
    • Dutch_Noord_Brabant 0,57099
    • Sicily_Ragusa 0,57093
    • Sicily_Messina 0,56936
    • England_North-East 0,56925
    • Moroccan_Jew 0,56758


     

    Sicily_Katania 0,56687
    Cumbria 0,56639
    England_South-East 0,56592
    Poland_Ashkenazy 0,56309
    IT_Sardinia 0,5604
    Macedonia_FYROM 0,55262
    GR_Peloponese 0,55174
    GR_Andros 0,5505
    England_North-West 0,55
    German_Ashkenazy 0,5465
    Italian_Jew 0,5433
    GR_Thessaloniki 0,54296
    IT_Calabria 0,54198
    Northern Ireland 0,53228
    Romanian_Jew 0,53162
    North-West_Romania 0,53074
    GR_Central 0,52728
    South-East_Romania 0,52718
    GR_Kythira 0,52433
    Bulgaria 0,51962
    Sudetenland 0,51756
    Serbia 0,51422
    Orkney 0,51195
    AustroHungarian_Ashkenazy1 0,51107
    Latvia_Ashkenazy 0,51032
    Algerian_Jew 0,51023
    Ireland 0,50661
    Dutch_Zuid_Holland 0,50657
    Belarus_Ashkenazy 0,50521
    Wales 0,50458
    FR_Basque 0,50356
    South_Romania 0,50136
    Thüringen 0,50094
    Western Serbians 1 0,49309
    Western Serbians 2 0,49309
    Dutch_Utrecht 0,48934
    Tunisian_Jew 0,48795
    North-East_Romania 0,48414
    Saharawi 0,48365
    GR_Cyclades 0,4779
    País Vasco 0,47772
    Navarra 0,47216
    GR_Macedonia1 0,46941
    Bosniaks 1 0,46288
    Bosniaks 2 0,46288
    GR_Crete 0,45826
    Schlesien 0,45773
    Slovenia 0,45592
    Sephardi_Turkey 0,45571
    Scotland 0,45559
    Croatia 0,45284
    GR_Kalymnos 0,45269
    Dutch_Gelderland 0,45084
    Nordrhein-Westfalen 0,44915
    Hungary 0,44319
    Thrace 0,43369
    GR_Chios 0,43315
    Dutch_Noord_Holland 0,4315
    GR_Ikaria 0,42534
    Schleswig-Holstein 0,42394
    Central_Prussia 0,42314
    Libyan_Jew 0,42302
    Croats_BIH 0,41737
    GR_Dodecanese 0,41134
    Dutch_Overijssel 0,41133
    Dutch_Groningen 0,40944
    Niedersachsen 0,40906
    Central Romania 0,40643
    Denmark 0,40477
    South-West_Romania 0,40106
    Saxony 0,39607
    Iceland 0,38858
    Mecklenburg-Vorpommern 0,37432
    Dutch_Drenthe 0,37301
    Czechs 0,3727
    Pommern 0,37105
    Sweden 0,37057
    Sachsen-Anhalt 0,36641
    Norwegians 0,35555
    Dutch_Friesland 0,34687
    Brandenburg 0,33892
    Syrian_Jew 0,33228
    Grenzmark 0,32649
    Greeks_Azov 0,2996
    NE-Prussia 0,2978
    Slovakia 0,29039
    Crimean Tatars Coast 0,28295
    Carpathian Rusyns 0,27981
    Ukraine_Chernivtsi 0,27859
    Cirenaica_Libyans 0,26995
    Oberland_Upper_Prussia 0,2562
    Cyprus 0,2548
    Moldova 0,25055
    North Sweden 0,24748
    North_Norway 0,24506
    PL_Subcarpathia 0,2418
    Jordan 0,23587
    PL_Upper_Silesia 0,21781
    Lusatian_Sorbs 0,20656
    Neumark 0,20287
    Ukraine_Volhyn 0,20165
    Pl_South (Małopolska) 0,19818
    TR_Istanbul 0,19248
    Ukraine_Kharkiv 0,19231
    Ukraine_Western 0,18331
    Zaporozhe_Cossacks 0,17388
    Ukraine_Poltava 0,17
    PL_North 0,155
    Greater_Poland (Wielkopolska) 0,15115
    Palestina 0,14778
    Samaritan 0,14762
    Ukraine_Zhytomyr 0,14584
    Ukraine_Vinnytsya 0,14301
    Lebanon_Muslim 0,14293
    Ukraine Kiev region 0,1422
    Kashubians 0,14066
    Ukraine_NE 0,13468
    PL_Central 0,13186
    TR_Balikeshir 0,129
    Bedouin 0,12801
    Syria 0,12609
    Pl_Lublin 0,12448
    Lebanon_Christian 0,12248
    Egyptians 0,12022
    Belarus Polesye 0,11035
    Belarus West 0,095811
    TR_Aydin 0,086763
    Pontic_Greeks 0,079437
    Ukraine Chernigov 0,07744
    RU Tambov 0,076947
    PL_Masovia 0,072057
    Georgian_Jew 0,070445
    South-West Finns 0,068852
    TR_Adana 0,067337
    Yemen_North 0,067302
    Orel 0,064105
    Ryazan 0,063481
    Tula 0,063481
    Cossacks_Kuban 0,058293
    Volgograd 0,057365
    Armenian_Jew 0,056375
    Smolensk 0,05577
    Bryansk 0,055427
    RU Kursk 0,051834
    Saudi Arabia 0,051122
    RU Voronezh 0,051051
    Belarus East 0,050225
    RU Central 0,049928
    Yemen_Jew 0,048777
    Ukraine Cherkassy 0,046431
    East & North Finns 0,042781
    Ingrians 0,037596
    Yemen Hadramaut 0,037347
    Amhara 0,035731
    Estonians 0,033448
    Tigre 0,032359
    Rostov 0,032061
    Ukraine_Sumy 0,031298
    Iranian_Jew 0,028808
    Karelians 0,018933
    Ethiopian_Jew 0,017369
    Lapp 1 0,014797
    Sandawe 0,014313
    RU Metschora & Murom 0,012576
    RU Solvychegodsk 0,012576
    TR_Kayseri 0,01256
    Iraqi_Jew 0,012188
    Tver 0,0089645
    RU Pskov 0,0074116
    Oromo 0,0069406
    Uzbekistan_Jew 0,0056706
    Turkey_Anatolia 0,0034567
    Somali 0,0027886
    Vepsians 0,0025682
    TR_Trabzon 0,0016242
    Azerbeijani_Jew 0,0015828
    RU North Dvina -0,00091047
    Tat_Jew -0,0017415
    Mandinka -0,0038287
    Assyrians -0,0082959
    Armenians -0,0091443
    Druzes -0,011221
    PL_Suwalki -0,013413
    Yoruba -0,01391
    RU Kostroma -0,014146
    Kurdish_Jew -0,014374
    Lapp 2 -0,014588
    Lapp 3 -0,014588
    RU Novgorod -0,016989
    Kirov -0,022096
    Latvia -0,023561
    Perm -0,025915
    Lithuanians -0,029017
    RU Pinega -0,032533
    Kongo -0,034893
    Bantu Zimbabwe -0,035291
    Bantu South Africa -0,050304
    Circassians -0,050608
    Mordva Erzya -0,063082
    Kurd1 -0,06328
    Kurd2 -0,06328
    Tatars_Kazan -0,065196
    Lazes -0,065886
    Bantu_Kenya -0,069545
    Mordva Moksha -0,076311
    Bolivian -0,07672
    Azeri -0,079518
    Luo -0,081563
    Biaka Pygmy -0,086807
    Quechua -0,090064
    Karachays -0,091173
    Colla_ARG -0,09119
    Luhya -0,092817
    Iranian -0,093425
    Kikuyu -0,093446
    Cachi_ARG -0,093629
    Wichi_ARG -0,094859
    Komi -0,095186
    Georgia East -0,096707
    Zapotec -0,098675
    Brahui -0,099559
    Nganassan -0,1005
    Mixtec -0,10079
    Mixe -0,10094
    Koryak -0,10392
    Kurd_Azerbaijan -0,10466
    Itelmen -0,10625
    Japanese -0,10825
    Osettians -0,10825
    Evenk-SE -0,10882
    Crimean Tatars Steppe -0,1106
    Chane_ARG -0,11089
    San -0,11105
    Evenk-Krasnoyarsk -0,11143
    Burusho -0,11158
    Masaai -0,11212
    Lori -0,11305
    Chechens -0,11327
    Even-Sakha -0,11391
    Even-Magadan -0,11399
    Dolgan -0,11559
    Kumyks -0,11681
    Nenets -0,11687
    Chukchis -0,11769
    Indonesian -0,11822
    North_Dagestan -0,11833
    Yakuts -0,11932
    Georgia Imereti -0,11973
    Eskimo Chukotka -0,12412
    Kabardinians -0,12484
    Tamil Ceylon -0,12519
    Melanesians -0,12759
    Eskimo -0,13021
    Selkups -0,13033
    Western Georgia -0,13119
    Ket -0,13311
    Mumbai_Jew -0,13391
    Iranian_Shiraz -0,1343
    Khanty -0,1346
    Athabaskan -0,13465
    Iranian_Bandari -0,13645
    Australian Aborigine -0,13933
    Avars -0,14026
    Tabassaran -0,14102
    Mansi -0,14149
    Balkars -0,14272
    Telugu -0,14465
    Beluji -0,14489
    Abkhasian -0,14541
    Malayali -0,14564
    Lezgin -0,14808
    Udmurts -0,14902
    Cochin_Jew -0,15017
    Georgia Svans -0,15528
    Punjabi_IND -0,15631
    Bangladeshi -0,15743
    Iranian_Kerman -0,15755
    Cambodia -0,15775
    Brahmin_Bihari -0,15857
    Kashmiri Pandit -0,15995
    Bengali -0,16005
    Mari -0,1604
    Phillipino -0,16124
    Chuvashes -0,16166
    Sindhi -0,1633
    Jat Sikh -0,16479
    Jammu Brahmin -0,16483
    Iranian_Mazandarani -0,16612
    Punjabi_PAK -0,16684
    Iranian_Gilaki -0,16886
    Brahmin_Himachal_Pradesh -0,16985
    Pashtun_AFG -0,17043
    Maori -0,17127
    Kalash -0,17171
    Buryat -0,17184
    Nivkhs -0,17188
    Altaians -0,1793
    Han China -0,18234
    Hadza -0,18268
    Chitrali -0,18276
    Pashtun_PAK -0,18298
    Brahmin_Nepali -0,18317
    Samoa -0,19295
    Shors -0,19491
    Kalmyks -0,19546
    Bashkirs -0,19647
    Mongols -0,19811
    Ulchi -0,19859
    Tajikistan -0,20177
    Tajiks_AFG -0,20177
    Turkmenistan -0,2058
    Karakalpaks -0,2183
    Kazakhstan -0,21858
    Tatars_Siberia -0,23919
    Hazara_AFG -0,25811
    Uzbeks -0,26664
    Uyghur -0,28887
    Last edited by lukaszM; 02-11-2018 at 10:43 PM.

  2. The Following User Says Thank You to lukaszM For This Useful Post:

     Offstage (02-12-2018)

  3. #3602
    Registered Users
    Posts
    5,395
    Sex
    Location
    Australia
    Ethnicity
    Italian Alpine
    Nationality
    Australian and Italian
    Y-DNA (P)
    T1a2b- BY143483
    mtDNA (M)
    H95a1
    Y-DNA (M)
    R1b-S8172
    mtDNA (P)
    T2b17

    Australia Italy Veneto Friuli Italy Trentino Alto Adige Italy Ladinia Austria Tirol
    I decided to do a test on my wife, Marisa
    Monies Paid
    Her data below

    Population
    Amerindian -
    Arabian -
    Armenian 0.65
    Basque 4.96
    Central_African -
    Central_Euro 3.86
    East_African -
    East_Asian -
    East_Balkan 3.73
    East_Central_Asian -
    East_Central_Euro 7.09
    East_Med 2.09
    Eastern_Euro -
    Fennoscandian 6.38
    French 8.51
    Iberian 13.28
    Indo-Chinese -
    Italian 21.04
    Malayan -
    Near_Eastern 5.42
    North_African -
    North_Atlantic 7.22
    North_Caucasian 0.15
    North_Sea 6.78
    Northeast_African -
    Oceanian 0.06
    Omotic -
    Pygmy -
    Siberian -
    South_Asian -
    South_Central_Asian -
    South_Chinese -
    Volga-Ural -
    West_African -
    West_Caucasian 4.13
    West_Med 4.63


    My Path = ( K-M9+, TL-P326+, T-M184+, L490+, M70+, PF5664+, L131+, L446+, CTS933+, CTS3767+, CTS8862+, Z19945+ )


    Grandfather via paternal grandmother = I1-L22 ydna
    Great grandmother paternal side = T1a1e mtdna

  4. The Following 2 Users Say Thank You to vettor For This Useful Post:

     lukaszM (02-12-2018),  Massam (02-13-2018)

  5. #3603
    Banned
    Posts
    446
    Sex
    Location
    Croatian_V 53% +
    Ethnicity
    Russian_cossack 47%
    Nationality
    Polish
    Y-DNA (P)
    I2a1b2
    mtDNA (M)
    U2

    Poland
    @lukaszM I sent extra 2 Euros for report

  6. #3604
    Banned
    Posts
    6,336
    Sex
    Location
    Torun
    Ethnicity
    Central 75% + 25% Mazovia
    Nationality
    Pole
    Y-DNA (P)
    R1a > M198 > YP 1337

    Poland
    Quote Originally Posted by randwulf View Post
    I sent 25 Euros for "the treatment" for these five kits;

    Me:

     
    Amerindian -
    Arabian -
    Armenian -
    Basque 1.50
    Central_African -
    Central_Euro 6.72
    East_African -
    East_Asian -
    East_Balkan 0.97
    East_Central_Asian -
    East_Central_Euro 2.95
    East_Med 2.64
    Eastern_Euro 6.14
    Fennoscandian 8.16
    French 9.59
    Iberian 13.43
    Indo-Chinese -
    Italian 16.56
    Malayan -
    Near_Eastern -
    North_African -
    North_Atlantic 14.49
    North_Caucasian -
    North_Sea 12.52
    Northeast_African -
    Oceanian -
    Omotic -
    Pygmy -
    Siberian -
    South_Asian -
    South_Central_Asian -
    South_Chinese -
    Volga-Ural -
    West_African -
    West_Caucasian -
    West_Med 4.32

    https://drive.google.com/open?id=1lv...mCIzW-hj1O6igJ

  7. The Following 4 Users Say Thank You to lukaszM For This Useful Post:

     Garimund (02-12-2018),  randwulf (02-12-2018),  Robert1 (02-12-2018),  upstate new yorker (02-12-2018)

  8. #3605
    Banned
    Posts
    6,336
    Sex
    Location
    Torun
    Ethnicity
    Central 75% + 25% Mazovia
    Nationality
    Pole
    Y-DNA (P)
    R1a > M198 > YP 1337

    Poland
    ..............

  9. #3606
    Registered Users
    Posts
    423
    Sex
    Location
    Saint-Petersburg
    Ethnicity
    Russian, German
    Nationality
    Russian
    Y-DNA (P)
    R1b-DF99
    mtDNA (M)
    U5b1e

    Me nMonted with Grandparents results. Clearly doesn't work as it would've been expected (~1\4 of each)

    [1] "distance%=6.6652 / distance=0.066652"

    Ya

    GMNRus 48.25
    Tania 48.10
    GFRus 2.15
    GFGer 1.50

    Although it's interesting that distance to all GPs except for half-german one is very similar.

    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
    Tania GMNRus GFRus GFGer
    13.12496 13.49458 13.54510 19.57344

  10. The Following User Says Thank You to Roaring For This Useful Post:

     lukaszM (02-12-2018)

  11. #3607
    Banned
    Posts
    6,336
    Sex
    Location
    Torun
    Ethnicity
    Central 75% + 25% Mazovia
    Nationality
    Pole
    Y-DNA (P)
    R1a > M198 > YP 1337

    Poland
    Quote Originally Posted by Roaring View Post
    Me nMonted with Grandparents results. Clearly doesn't work as it would've been expected (~1\4 of each)

    [1] "distance%=6.6652 / distance=0.066652"

    Ya

    GMNRus 48.25
    Tania 48.10
    GFRus 2.15
    GFGer 1.50

    Although it's interesting that distance to all GPs except for half-german one is very similar.

    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
    Tania GMNRus GFRus GFGer
    13.12496 13.49458 13.54510 19.57344
    This is interesting case but it is question how nMonte alghoritm works, so better ask Huibregts.

    For me it is certain he developed it to look for most probable ancestry breakdown, not to have four equal frequencies in result. You must consider overlapping of some components among your 4 grandpas. And for nMonte those two were more similar than other two (and GFGer is partly Baltic German so very different than rest of them). I think on PCA you also won't be at the midpoint of their four positions.


    BTW can you check both in nMonte2 and nMonte3? Those above was which one?
    Last edited by lukaszM; 02-12-2018 at 11:52 AM.

  12. #3608
    Registered Users
    Posts
    423
    Sex
    Location
    Saint-Petersburg
    Ethnicity
    Russian, German
    Nationality
    Russian
    Y-DNA (P)
    R1b-DF99
    mtDNA (M)
    U5b1e

    Quote Originally Posted by lukaszM View Post
    This is interesting case but it is question how nMonte alghoritm works, so better ask Huibregts.

    For me it is certain he developed it to look for most probable ancestry breakdown, not to have four equal frequencies in result. You must consider overlapping of some components among your 4 grandpas. And for nMonte those two were more similar than other two (and GFGer is partly Baltic German so very different than rest of them). I think on PCA you also won't be at the midpoint of their four positions.


    BTW can you check both in nMonte2 and nMonte3? Those above was which one?
    Other thing is that i used 23andme data, while GP were tested in FTDNA, i guess it made a bit difference.

    As for algorythm, i think that i pretty much understand how does it work, just wanted to test it this way.

    About nMonte - i don't know, how can i get to know about which i used and how can i use 2 and 3?

  13. #3609
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    Quote Originally Posted by Roaring View Post
    Other thing is that i used 23andme data, while GP were tested in FTDNA, i guess it made a bit difference.

    As for algorythm, i think that i pretty much understand how does it work, just wanted to test it this way.

    About nMonte - i don't know, how can i get to know about which i used and how can i use 2 and 3?
    You have file called either:
    nMonte.R
    nMonte2.R
    nMonte3.R

    So I forgot but it is also version 1

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    R1a > M198 > YP 1337

    Poland
    ..............
    Last edited by lukaszM; 02-12-2018 at 02:20 PM.

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