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Thread: (Unofficial) oracle for Eurogenes K36 - 256 reference populations

  1. #1
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    R1a > M198 > YP 1337

    Poland

    (Unofficial) oracle for Eurogenes K36 - 256 reference populations

    More details here: http://k36.physical-anthropology.info/

    Why oracle for K36? Because this Gedmatch calculator is one of the most interesting but its component breakdown is not very intelligible for most of the users. We don’t have any comparison or reliable benchmarks without oracle.

    Of course I didn’t use original Polako's reference samples in the averages (except some East-Asian & SSA populations). And I did this hard work (with help from other people) to test as many Gedmatch kits for K36 oracle as possible to make reference samples.
    Oracle is still in beta stage but I’ve decided to publish it because maybe it encourages people to cooperate in oracle’s development. And many people ask me or Tomenable in last days about running oracle for them
    Still some regions are not well represented (just few kits) or not represented at all. For now there are 256 reference populations included in datafile.

    Download oracle files

    Short instruction:

    – Double click of the 4 Ancestors Oracle (Admix4_097.exe).

    – Select k36_v1.txt (at first start, you will be in default windows folder, you must find this one where are oracle files). Don't bother that oracle wants MDLP file

    – enter your Eurogenes K36 ancestry proportions into the fields provided (at first start there are “2,777” everywhere). Also don’t use “-“, use “0” instead; don’t use values with dot (0.5), use only commas (0,1).

    – Hit the go button and wait; it takes some time for Gaussian method (especially for 4 populations aproximation) to end. You can delete processing file at any time. What was calculated will be saved in output.txt file. It’s possible to launch next run when previous is still running. The result will be saved in output2.txt and so on.


    I must thank many people who contributed to the oracle. Especially user Tomenable, co-author of the oracle who prepared large collection of Polish, Czech-Moravians and Albanian GEDMATCH kits. Also he made Amerindian, Samoan, Mollukan, Basque, NW-German averages and sent many single kits for various populations ( Especially user Litvin, co-author of the oracle who prepared large collection of Polish, Czech-Moravians and Albanian GEDMATCH kits. Also he made Amerindian, Samoan, Mollukan, Basque, NW-German averages, and sent many single kits for various populations (some Jews, Austrians, Dutch,Scots, Latinos, Frenchmen, Scandos, Baltics, Abo Australian). Also Michal from this forum (Polish and Central & East Euro kits). Also those users contributed a lot: Sikeliot , Percivalle, PunhetaDeBacalhau, karol.klacansky, Deniz and many others who sent single kits. Also for East Europe and North-East Europe, Siberia and Caucasus I use mostly samples from spreadsheet availabe at Verenich Blog. Some of them I updated (Poland, Azeri, Bulgaria, Macedonia, Kosovo, Greece Pelopones and Macedonia) or I added some regions like West Belarus, Central Ukraine, Georgia Imereti etc.

    I also made frequency maps for most popular or interesting components. Later I’ll add more maps.

    Info: for modern Western and Northern Poland I use PL_average sample. For most of the Spain I use Spain-Average sample. For south Siberia I use Siberian Tatars only. For some marked regions I don't have data but maybe it will change soon.

    populations averages. Click here.


    East-Central Euro component


    Central Euro component


    Eastern Euro component


    East-Balkan component


    North Sea component


    North Atlantic component


    Italian component


    East-Med component


    North Caucasian component


    Fennoscandian component


    Siberian component
    Last edited by lukaszM; 04-21-2017 at 09:06 PM.

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  3. #2
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    mtDNA
    M5a2a

    United States of America India Myanmar
    Accurate for me =)
    Edit: Just noticed that I was the reference...

    Population
    Amerindian -
    Arabian -
    Armenian 0.59
    Basque -
    Central_African -
    Central_Euro -
    East_African -
    East_Asian -
    East_Balkan -
    East_Central_Asian -
    East_Central_Euro -
    East_Med -
    Eastern_Euro -
    Fennoscandian 1.30
    French 1.22
    Iberian -
    Indo-Chinese -
    Italian -
    Malayan 0.45
    Near_Eastern -
    North_African -
    North_Atlantic 1.78
    North_Caucasian 4.14
    North_Sea 1.28
    Northeast_African -
    Oceanian 0.28
    Omotic -
    Pygmy 0.71
    Siberian -
    South_Asian 51.71
    South_Central_Asian 34.42
    South_Chinese -
    Volga-Ural 1.23
    West_African -
    West_Caucasian 0.85
    West_Med -


    Least-squares method.

    Using 1 population approximation:
    1 Brahmin_South-India @ 0.33039
    2 Malayali_IND @ 10.085812
    3 Brahmin_Bihari @ 10.135396
    4 Telugu_IND @ 11.080332
    5 Punjabi_IND @ 13.273315
    6 Bengali_BNG @ 15.433572
    7 Jammu_Brahmin @ 15.459862
    8 Kashmiri-Pandhit_IND @ 18.507621
    9 Sidhu_IND @ 24.661684
    10 Sindhi_PAK @ 30.387401
    11 Brahmin_Nepali @ 32.743754
    12 Pathan @ 35.179557
    13 Kalash_PAK @ 39.631532
    14 Tajik_AFG @ 47.046744
    15 Makrani_PAK @ 52.185511
    16 Turkmen @ 54.16319
    17 Turkmen_Uzbkeistan @ 55.672415
    18 Uzbek @ 56.26135
    19 Hazara_PAK @ 57.993368
    20 Uyghur @ 58.112237
    256 iterations.

    Using 2 populations approximation:
    1 Brahmin_South-India+Brahmin_South-India @ 0.33039
    2 Telugu_IND+Punjabi_IND @ 3.85515
    3 Telugu_IND+Jammu_Brahmin @ 4.201189
    4 Malayali_IND+Punjabi_IND @ 4.2165
    5 Malayali_IND+Jammu_Brahmin @ 4.776841
    6 Brahmin_South-India+Brahmin_Bihari @ 5.007627
    7 Malayali_IND+Brahmin_South-India @ 5.073419
    8 Telugu_IND+Kashmiri-Pandhit_IND @ 5.303403
    9 Malayali_IND+Brahmin_Bihari @ 5.412118
    10 Telugu_IND+Brahmin_South-India @ 5.571663
    11 Malayali_IND+Kashmiri-Pandhit_IND @ 5.672043
    12 Telugu_IND+Brahmin_Bihari @ 5.728858
    13 Brahmin_South-India+Punjabi_IND @ 6.575874
    14 Bengali_BNG+Jammu_Brahmin @ 7.567468
    15 Brahmin_South-India+Jammu_Brahmin @ 7.6815
    16 Bengali_BNG+Brahmin_South-India @ 7.707704
    17 Telugu_IND+Sidhu_IND @ 7.716959
    18 Bengali_BNG+Punjabi_IND @ 8.037569
    19 Bengali_BNG+Kashmiri-Pandhit_IND @ 8.241768
    20 Malayali_IND+Sidhu_IND @ 8.28002
    32896 iterations.

    Gaussian method.
    Noise dispersion set to 0.130062

    Using 1 population approximation:
    1 Brahmin_South-India @ 0.244693
    2 Punjabi_IND @ 4.127433
    3 Sidhu_IND @ 4.623412
    4 Jammu_Brahmin @ 5.025099
    5 Malayali_IND @ 5.398562
    6 Brahmin_Bihari @ 5.77433
    7 Kashmiri-Pandhit_IND @ 5.842455
    8 Brahmin_Nepali @ 5.967897
    9 Kalash_PAK @ 6.03039
    10 Sindhi_PAK @ 6.322085
    11 Pathan @ 6.384229
    12 Telugu_IND @ 9.469576
    13 Tajik_AFG @ 9.477488
    14 Bengali_BNG @ 9.797835
    15 Makrani_PAK @ 9.874527
    16 Hazara_PAK @ 12.262085
    17 Turkmen @ 13.193897
    18 Uyghur @ 13.504829
    19 Uzbek @ 13.559154
    20 Turkmen_Uzbkeistan @ 15.949108
    256 iterations.

    Using 2 populations approximation:
    1 Brahmin_South-India+Brahmin_South-India @ 0.244693
    2 Telugu_IND+Brahmin_South-India @ 1.771634
    3 Malayali_IND+Brahmin_South-India @ 2.080991
    4 Brahmin_South-India+Jammu_Brahmin @ 2.319977
    5 Brahmin_South-India+Brahmin_Bihari @ 2.556348
    6 Brahmin_South-India+Sidhu_IND @ 2.86627
    7 Sindhi_PAK+Brahmin_South-India @ 2.87914
    8 Bengali_BNG+Brahmin_South-India @ 3.046933
    9 Brahmin_South-India+Kashmiri-Pandhit_IND @ 3.062749
    10 Kalash_PAK+Brahmin_South-India @ 3.107665
    11 Brahmin_South-India+Punjabi_IND @ 3.196686
    12 Malayali_IND+Sidhu_IND @ 3.298993
    13 Kalash_PAK+Malayali_IND @ 3.650644
    14 Telugu_IND+Punjabi_IND @ 3.670028
    15 Telugu_IND+Sidhu_IND @ 3.696757
    16 Malayali_IND+Punjabi_IND @ 3.749335
    17 Kalash_PAK+Telugu_IND @ 3.915365
    18 Brahmin_South-India+Brahmin_Nepali @ 3.955784
    19 Punjabi_IND+Jammu_Brahmin @ 4.013406
    20 Brahmin_Bihari+Punjabi_IND @ 4.101196
    32896 iterations.
    Last edited by Varun R; 04-21-2017 at 08:38 PM.

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  5. #3
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    United Kingdom Netherlands Mauritius China India Madagascar
    Delete..
    Last edited by JFWinstone; 04-21-2017 at 10:29 PM. Reason: Delete
    AncestryDNA - 77% European, 12% Asian, 9% African, 1% Native American, 1% Pacific Islander
    23andme - 78.7% European, 10.2% East Asian and Native American, 7.5% Subsaharan African, 2.7% South Asian, 0.1% North African, 0.8% unassigned
    DNA.Land - 77% West Eurasian, 12% East Asian, 9.7% African, 1.9% Ambiguous
    DNA Tribes - 72.6% European, 10.4% Subsaharan African, 7.8% Asian, 7.1% South Asian, 2.1% Amerindian

  6. #4
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    R1a > M198 > YP 1337

    Poland
    Quote Originally Posted by Varun R View Post
    Accurate for me =)
    Edit: Just noticed that I was the reference...

    32896 iterations.
    Yes. But for Indian people it's hard to find sth regional. I use few from this forum. But there are others like Bengal, Malayali. If you know other Indian kits, you can try to check them.
    Last edited by lukaszM; 04-21-2017 at 08:56 PM.

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  8. #5
    Banned
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    Ethnicity
    Amerimutt
    Y-DNA
    R1b-(L21/M529)

    England Scotland Germany
    Broken.

    Admix4 crashes when reading "k36_v1.txt"

    All the "," have to be replaced with "." in the "k36_v1.txt" for it to work, iirc.

    Using "," in the input doesn't change this.

    EDIT: I just remembered "Find & Replace" is a thing.

    Code:
    Least-squares method.
    
    Using 1 population approximation:
    1 France @ 10.020705
    2 England @ 10.037593
    3 Wales @ 10.144769
    4 Ireland @ 10.169811
    5 German @ 10.518971
    6 Holland @ 11.186654
    7 Austria @ 11.755928
    8 Man_Isle @ 12.376489
    9 British_mixed @ 12.650546
    10 Scotland @ 13.554081
    11 German_SouthWest @ 13.830802
    12 Orcadian @ 14.175575
    13 German_Volga @ 15.634996
    14 Denmark @ 15.717161
    15 Portugal @ 17.843584
    16 Frisian_DK @ 18.007116
    17 Spain_Galicia @ 18.385395
    18 Spain_average @ 18.578796
    19 Austria_Tyrol @ 18.710404
    20 Sweden @ 19.022034
    256 iterations.
    
    Using 2 populations approximation:
    1 France+Ireland @ 5.904269
    2 France+Wales @ 6.30606
    3 France+England @ 6.613275
    4 France+Holland @ 7.046258
    5 Spain_Galicia+Ireland @ 7.069188
    6 Spain_average+Ireland @ 7.204179
    7 NE_Spain+Denmark @ 7.24231
    8 Spain_average+Wales @ 7.243235
    9 Spain_average+Denmark @ 7.247442
    10 Spain_Galicia+Orcadian @ 7.270799
    11 NE_Spain+Orcadian @ 7.271972
    12 Spain_Galicia+Wales @ 7.323689
    13 Spain_average+Orcadian @ 7.398167
    14 Spain_average+England @ 7.429002
    15 Spain_average+Scotland @ 7.493703
    16 France+Orcadian @ 7.512108
    17 NE_Spain+Ireland @ 7.51418
    18 Portugal+Ireland @ 7.557461
    19 Spain_average+Holland @ 7.597829
    20 France+British_mixed @ 7.61711
    32896 iterations.
    
    Using 3 populations approximation:
    1 50% England +25% Spain_North +25% Austria @ 4.594627
    2 50% England +25% Spain_North +25% Ireland @ 4.721715
    3 50% England +25% Spain_North +25% England @ 4.787073
    4 50% Ireland +25% Spain_North +25% Austria @ 4.837355
    5 50% England +25% Spain_North +25% Wales @ 4.903222
    6 50% Wales +25% Spain_North +25% Austria @ 4.903896
    7 50% Ireland +25% Spain_North +25% England @ 4.990646
    8 50% England +25% Spain_North +25% Holland @ 4.991113
    9 50% Wales +25% Spain_North +25% England @ 5.076875
    10 50% Ireland +25% Spain_North +25% Holland @ 5.125151
    11 50% Austria +25% Spain_North +25% Ireland @ 5.126693
    12 50% Austria +25% Spain_North +25% England @ 5.158055
    13 50% Ireland +25% Spain_North +25% German_SouthWest @ 5.177224
    14 50% England +25% Spain_North +25% Czechs_Moravians @ 5.190833
    15 50% Ireland +25% Spain_North +25% Frisian_DK @ 5.197198
    16 50% Holland +25% Spain_North +25% Ireland @ 5.22325
    17 50% Wales +25% Spain_North +25% Ireland @ 5.23162
    18 50% England +25% Spain_North +25% British_mixed @ 5.267644
    19 50% Austria +25% Spain_North +25% Wales @ 5.273523
    20 50% Ireland +25% Spain_North +25% German_Volga @ 5.289148
    5334509 iterations.
    
    Using 4 populations approximation:
    1 Spain_North+Austria+Ireland+England @ 4.542971
    2 Spain_North+Austria+England+England @ 4.594627
    3 Spain_North+Austria+Wales+England @ 4.719705
    4 Spain_North+Ireland+England+England @ 4.721715
    5 Spain_North+Austria+Wales+Ireland @ 4.786641
    6 Spain_North+England+England+England @ 4.787073
    7 Spain_North+Austria+Ireland+Ireland @ 4.837355
    8 Spain_North+Austria+Holland+Ireland @ 4.866144
    9 Spain_North+Holland+Ireland+England @ 4.896169
    10 Spain_North+Wales+England+England @ 4.903222
    11 Spain_North+Austria+Wales+Wales @ 4.903896
    12 Spain_North+Austria+Holland+England @ 4.946577
    13 Spain_North+Wales+Ireland+England @ 4.952619
    14 Spain_North+Ireland+Ireland+England @ 4.990646
    15 Spain_North+Holland+England+England @ 4.991113
    16 Spain_North+Wales+Wales+England @ 5.076875
    17 Spain_North+Austria+Holland+Wales @ 5.07725
    18 Spain_North+Holland+Wales+England @ 5.11679
    19 Spain_North+Holland+Ireland+Ireland @ 5.125151
    20 Spain_North+Austria+Austria+Ireland @ 5.126693
    21 Spain_North+Holland+Wales+Ireland @ 5.133336
    22 Spain_North+Austria+Ireland+Scotland @ 5.142266
    23 Spain_North+German_SouthWest+Ireland+England @ 5.146833
    24 Spain_North+Austria+Scotland+England @ 5.15789
    25 Spain_North+Austria+Austria+England @ 5.158055
    26 Spain_North+Austria+British_mixed+England @ 5.170118
    27 Spain_North+Austria+Ireland+British_mixed @ 5.176556
    28 Spain_North+German_SouthWest+Ireland+Ireland @ 5.177224
    29 Spain_North+Ireland+England+Czechs_Moravians @ 5.18086
    30 Spain_North+German+Ireland+England @ 5.184871
    31 Spain_North+England+England+Czechs_Moravians @ 5.190833
    32 Spain_North+Frisian_DK+Ireland+Ireland @ 5.197198
    33 Spain_North+Holland+Holland+Ireland @ 5.22325
    34 Spain_North+Wales+Wales+Ireland @ 5.23162
    35 Spain_North+German_SouthWest+Holland+Ireland @ 5.235074
    36 Spain_North+Austria+Orcadian+England @ 5.241067
    37 Spain_North+France+Ireland+Denmark @ 5.244383
    38 Spain_North+Ireland+England+Denmark @ 5.250191
    39 Spain_North+France+Ireland+Sweden @ 5.255079
    40 Spain_North+Frisian_DK+Ireland+England @ 5.256169
    66758730 iterations.

    Code:
    Gaussian method.
    Noise dispersion set to 0.130062
    
    Using 1 population approximation:
    1 England @ 3.692907
    2 Ireland @ 3.7934
    3 Wales @ 3.904492
    4 British_mixed @ 4.08022
    5 Holland @ 4.113841
    6 Scotland @ 4.248651
    7 Austria @ 4.324835
    8 Denmark @ 4.462361
    9 France @ 4.542335
    10 Orcadian @ 4.690627
    11 German_SouthWest @ 4.725035
    12 German @ 4.914763
    13 Sweden @ 5.045505
    14 Man_Isle @ 5.169861
    15 Norway @ 5.383601
    16 German_Volga @ 5.405619
    17 Czechs_Moravians @ 5.964116
    18 Austria_Tyrol @ 6.071944
    19 NE_Spain @ 6.129779
    20 Spain_Galicia @ 6.23044
    256 iterations.
    
    Using 2 populations approximation:
    1 England+England @ 3.692907
    2 Ireland+England @ 3.743059
    3 Ireland+Ireland @ 3.7934
    4 Wales+England @ 3.816447
    5 Spain_North+Frisian_DK @ 3.852066
    6 Wales+Ireland @ 3.858183
    7 Holland+England @ 3.873102
    8 British_mixed+England @ 3.875815
    9 Wales+Wales @ 3.904492
    10 Holland+Ireland @ 3.926127
    11 Ireland+British_mixed @ 3.931989
    12 Austria+England @ 3.962164
    13 Basque+Frisian_DK @ 3.965124
    14 Scotland+England @ 3.976065
    15 England+Denmark @ 3.998572
    16 Wales+British_mixed @ 3.99885
    17 Austria+Ireland @ 4.000692
    18 Ireland+Scotland @ 4.007142
    19 France+England @ 4.020878
    20 Holland+Wales @ 4.02758
    32896 iterations.
    
    Using 3 populations approximation:
    1 50% Frisian_DK +25% Basque +25% Frisian_DK @ 3.218145
    2 50% Frisian_DK +25% Basque +25% England @ 3.329197
    3 50% Frisian_DK +25% Basque +25% Sweden @ 3.353368
    4 50% Frisian_DK +25% Basque +25% British_mixed @ 3.370135
    5 50% Frisian_DK +25% Basque +25% Denmark @ 3.409423
    6 50% Frisian_DK +25% Basque +25% Orcadian @ 3.418993
    7 50% Frisian_DK +25% Basque +25% Scotland @ 3.442858
    8 50% Frisian_DK +25% Basque +25% Ireland @ 3.448795
    9 50% Frisian_DK +25% Basque +25% Pl_Kashubians @ 3.46884
    10 50% Frisian_DK +25% Basque +25% Wales @ 3.481609
    11 50% Frisian_DK +25% Basque +25% PL_Wielkopolska @ 3.487618
    12 50% Frisian_DK +25% Basque +25% Austria @ 3.498703
    13 50% Frisian_DK +25% Basque +25% Holland @ 3.499425
    14 50% Frisian_DK +25% Basque +25% Sweden_north @ 3.500866
    15 50% Frisian_DK +25% Basque +25% Lithuanian @ 3.501885
    16 50% Frisian_DK +25% Basque +25% Norway @ 3.507127
    17 50% Frisian_DK +25% Basque +25% Pl_north @ 3.517162
    18 50% Ireland +25% Basque +25% Frisian_DK @ 3.517904
    19 50% Frisian_DK +25% Spain_North +25% Frisian_DK @ 3.521296
    20 50% Frisian_DK +25% Basque +25% PL_Mazovia @ 3.556665
    5924525 iterations.
    
    Using 4 populations approximation:
    1 Basque+Frisian_DK+Frisian_DK+Frisian_DK @ 3.218145
    2 Basque+Frisian_DK+Frisian_DK+England @ 3.329197
    3 Basque+Frisian_DK+Frisian_DK+Sweden @ 3.353368
    4 Basque+Frisian_DK+Frisian_DK+British_mixed @ 3.370135
    5 Basque+Frisian_DK+England+England @ 3.386538
    6 Basque+Frisian_DK+Frisian_DK+Denmark @ 3.409423
    7 Basque+Frisian_DK+Frisian_DK+Orcadian @ 3.418993
    8 Basque+Frisian_DK+British_mixed+England @ 3.420668
    9 Basque+Frisian_DK+England+Sweden @ 3.427208
    10 Basque+Frisian_DK+England+Denmark @ 3.434137
    11 Basque+Frisian_DK+Frisian_DK+Scotland @ 3.442858
    12 Basque+Frisian_DK+Frisian_DK+Ireland @ 3.448795
    13 Basque+Frisian_DK+Ireland+England @ 3.464674
    14 Basque+Frisian_DK+British_mixed+British_mixed @ 3.466764
    15 Basque+Frisian_DK+Frisian_DK+Pl_Kashubians @ 3.46884
    16 Basque+Frisian_DK+British_mixed+Sweden @ 3.475645
    17 Basque+England+England+England @ 3.477719
    18 Basque+Frisian_DK+British_mixed+Denmark @ 3.47845
    19 Basque+Frisian_DK+Frisian_DK+Wales @ 3.481609
    20 Basque+Frisian_DK+Frisian_DK+PL_Wielkopolska @ 3.487618
    21 Basque+Austria+Frisian_DK+England @ 3.489967
    22 Basque+Frisian_DK+Scotland+England @ 3.490919
    23 Basque+Frisian_DK+Sweden+Sweden @ 3.493685
    24 Basque+Frisian_DK+Holland+England @ 3.496894
    25 Basque+England+England+Sweden @ 3.498138
    26 Basque+Austria+Frisian_DK+Frisian_DK @ 3.498703
    27 Basque+Frisian_DK+Frisian_DK+Holland @ 3.499425
    28 Basque+Frisian_DK+England+Pl_Kashubians @ 3.500815
    29 Basque+Frisian_DK+Frisian_DK+Sweden_north @ 3.500866
    30 Basque+Frisian_DK+Frisian_DK+Lithuanian @ 3.501885
    31 Basque+England+England+Denmark @ 3.502234
    32 Basque+Frisian_DK+Frisian_DK+Norway @ 3.507127
    33 Basque+Frisian_DK+Ireland+British_mixed @ 3.507381
    34 Basque+Frisian_DK+Wales+England @ 3.511045
    35 Basque+Frisian_DK+Frisian_DK+Pl_north @ 3.517162
    36 Basque+Frisian_DK+Ireland+Ireland @ 3.517904
    37 Basque+Frisian_DK+Ireland+Sweden @ 3.518538
    38 Basque+British_mixed+England+England @ 3.519227
    39 Spain_North+Frisian_DK+Frisian_DK+Frisian_DK @ 3.521296
    40 Basque+Frisian_DK+Scotland+British_mixed @ 3.521471
    Last edited by Kiln; 04-21-2017 at 09:32 PM.

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  10. #6
    Registered Users
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    Thanks for the tip Kiln, appears to be working now.
    AncestryDNA - 77% European, 12% Asian, 9% African, 1% Native American, 1% Pacific Islander
    23andme - 78.7% European, 10.2% East Asian and Native American, 7.5% Subsaharan African, 2.7% South Asian, 0.1% North African, 0.8% unassigned
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  11. #7
    Gold Member Class
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    Program kept crashing every time I pressed go!
    Please support Mental health research and world community grid

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  12. #8
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    Quote Originally Posted by firemonkey View Post
    Program kept crashing every time I pressed go!
    See attachment.

    Use that to replace same one in download.

    Just use "." in the input.
    Attached Files Attached Files

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  14. #9
    Oh. In my case dot was the reason of crash. Maybe it depends of operating system I don't know. Thanks for this.
    Last edited by physical-anthro; 04-21-2017 at 09:56 PM.

  15. #10
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    Quote Originally Posted by physical-anthro View Post
    Oh. In my case dot was the reason of crash. Maybe it depends of operating system I don't know.
    Going to vary by region I assume.

    If you customarily use "." all "," must be replaced with ".".

    The inverse being true as well.

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