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Thread: Dodecad Ancestry Project

  1. #791
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    My Dodecad V3 oracle 4 population approximations (by far the most accurate result I get on any test):

    Using 1 population approximation:
    1 Ashkenazy_Jews @ 7.772072
    2 Ashkenazi @ 8.502169
    3 Morocco_Jews @ 12.488474
    4 Tuscan @ 17.692190
    5 Tuscan @ 18.495729
    6 Uzbekistan_Jews @ 18.604643
    7 TSI @ 18.709333
    8 S_Italian_Sicilian @ 19.215834
    9 C_Italian @ 20.219650
    10 O_Italian @ 20.326828

    Using 2 populations approximation:
    1 50% Uzbekistan_Jews +50% Tuscan @ 5.175465

    Using 3 populations approximation:
    1 50% Georgia_Jews +25% Sephardic_Jews +25% Swedish @ 1.812255

    Using 4 populations approximation:
    1 Georgia_Jews + Iranian_Jews + Sephardic_Jews + Swedish @ 1.511420
    2 Georgia_Jews + Iraq_Jews + Sephardic_Jews + Swedish @ 1.566782
    3 Ashkenazi + Iranian_Jews + Orkney + Syrians @ 1.708484
    4 Azerbaijan_Jews + Sephardic_Jews + Swedish + Syrians @ 1.714049
    5 Ashkenazy_Jews + Iranian_Jews + Orkney + Syrians @ 1.745081
    6 Ashkenazy_Jews + Iranian_Jews + Orcadian + Syrians @ 1.748556
    7 Ashkenazi + Iranian_Jews + Orcadian + Syrians @ 1.763204
    8 Ashkenazi + Iranian_Jews + Syrians + Argyll @ 1.796421
    9 Georgia_Jews + Georgia_Jews + Sephardic_Jews + Swedish @ 1.812255
    10 Morocco_Jews + Orcadian + Syrians + Uzbekistan_Jews @ 1.821534

  2. #792
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    Dodecad V3 Oracle results:

    The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

    Kit T753946

    Admix Results (sorted):

    # Population Percent
    1 West_European 42.77
    2 Mediterranean 38.38
    3 West_Asian 6.97
    4 Southwest_Asian 3.42
    5 Northwest_African 2.55
    6 East_European 1.91
    7 Northeast_Asian 1.86
    8 Southeast_Asian 1.22
    9 South_Asian 0.66
    10 East_African 0.23
    11 Palaeo_African 0.04

    Single Population Sharing:

    # Population (source) Distance
    1 Portuguese (Dodecad) 8.28
    2 Spaniards (Behar) 9.4
    3 French (Dodecad) 9.72
    4 French (HGDP) 9.99
    5 IBS (1000Genomes) 10.12
    6 Spanish (Dodecad) 10.32
    7 N_Italian (Dodecad) 12.33
    8 French_Basque (HGDP) 12.71
    9 North_Italian (HGDP) 14.69
    10 Tuscan (Henn) 15.63
    11 TSI (HapMap) 15.85
    12 Tuscan (Xing) 16.35
    13 CEU (HapMap) 17.85
    14 O_Italian (Dodecad) 19.17
    15 N._European (Xing) 19.5
    16 Orcadian (HGDP) 19.6
    17 Sardinian (HGDP) 19.72
    18 Tuscan (HGDP) 19.94
    19 Orkney (1000 Genomes) 19.94
    20 Argyll (1000 Genomes) 20.25

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 53% Sardinian (HGDP) + 47% Mixed_Germanic (Dodecad) @ 3.35
    2 52.9% Sardinian (HGDP) + 47.1% Dutch (Dodecad) @ 3.9
    3 67.9% French (HGDP) + 32.1% Sardinian (HGDP) @ 4.06
    4 69% French_Basque (HGDP) + 31% Ashkenazy_Jews (Behar) @ 4.09
    5 50.3% N._European (Xing) + 49.7% Sardinian (HGDP) @ 4.12
    6 81.9% French_Basque (HGDP) + 18.1% Iranians (Behar) @ 4.14
    7 55.9% Portuguese (Dodecad) + 44.1% French (HGDP) @ 4.15
    8 80.3% French_Basque (HGDP) + 19.7% Kurd (Dodecad) @ 4.18
    9 79.3% French_Basque (HGDP) + 20.7% Uzbekistan_Jews (Behar) @ 4.31
    10 80.3% French (Dodecad) + 19.7% Sephardic_Jews (Behar) @ 4.35
    11 54.7% Sardinian (HGDP) + 45.3% Kent (1000 Genomes) @ 4.38
    12 56.9% French_Basque (HGDP) + 43.1% Tuscan (Xing) @ 4.41
    13 69.2% French (Dodecad) + 30.8% Tuscan (HGDP) @ 4.42
    14 50.7% Sardinian (HGDP) + 49.3% Argyll (1000 Genomes) @ 4.43
    15 82.1% French_Basque (HGDP) + 17.9% Iranian (Dodecad) @ 4.43
    16 62.5% Sardinian (HGDP) + 37.5% Norwegian (Dodecad) @ 4.43
    17 78.4% French (Dodecad) + 21.6% Sicilian (Dodecad) @ 4.43
    18 67.6% IBS (1000Genomes) + 32.4% N._European (Xing) @ 4.47
    19 77.2% French_Basque (HGDP) + 22.8% Stalskoe (Xing) @ 4.5
    20 69.8% French_Basque (HGDP) + 30.2% Ashkenazi (Dodecad) @ 4.51

  3. #793
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    World9 Oracle

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 51.92
    2 Southern 26.66
    3 Caucasus_Gedrosia 20.22
    4 Siberian 0.86
    5 East_Asian 0.19
    6 Australasian 0.13

    Single Population Sharing:

    # Population (source) Distance
    1 Bulgarian (Dodecad) 3.93
    2 Bulgarians (Yunusbayev) 4.42
    3 TSI30 (Metspalu) 5.14
    4 Tuscan (HGDP) 5.66
    5 Romanians (Behar) 5.86
    6 N_Italian (Dodecad) 6.48
    7 O_Italian (Dodecad) 7.35
    8 North_Italian (HGDP) 7.37
    9 C_Italian (Dodecad) 10.24
    10 Baleares (1000 Genomes) 12.31
    11 Murcia (1000 Genomes) 13.66
    12 Andalucia (1000 Genomes) 13.92
    13 Greek (Dodecad) 14.02
    14 Extremadura (1000 Genomes) 14.29
    15 Canarias (1000 Genomes) 14.85
    16 Portuguese (Dodecad) 15.08
    17 Galicia (1000 Genomes) 15.12
    18 Spaniards (Behar) 15.53
    19 Castilla_La_Mancha (1000 Genomes) 15.74
    20 Brazilian (Dodecad) 15.86

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 56.2% Bulgarians (Yunusbayev) + 43.8% Tuscan (HGDP) @ 0.26
    2 56.8% Bulgarian (Dodecad) + 43.2% TSI30 (Metspalu) @ 0.43
    3 53.8% Bulgarians (Yunusbayev) + 46.2% TSI30 (Metspalu) @ 0.47
    4 72.5% C_Italian (Dodecad) + 27.5% Ukranians (Yunusbayev) @ 0.56
    5 86.1% N_Italian (Dodecad) + 13.9% North_Ossetians (Yunusbayev) @ 0.62
    6 85.2% N_Italian (Dodecad) + 14.8% Adygei (HGDP) @ 0.64
    7 85.2% N_Italian (Dodecad) + 14.8% Balkars (Yunusbayev) @ 0.67
    8 59.2% Bulgarian (Dodecad) + 40.8% Tuscan (HGDP) @ 0.69
    9 85.6% N_Italian (Dodecad) + 14.4% Kumyks (Yunusbayev) @ 0.69
    10 84.1% North_Italian (HGDP) + 15.9% Chechens (Yunusbayev) @ 0.75
    11 66.8% Greek (Dodecad) + 33.2% British_Isles (Dodecad) @ 0.77
    12 85% North_Italian (HGDP) + 15% Lezgins (Behar) @ 0.78
    13 65.9% Greek (Dodecad) + 34.1% Kent (1000 Genomes) @ 0.79
    14 65.7% Greek (Dodecad) + 34.3% Cornwall (1000 Genomes) @ 0.8
    15 66% Greek (Dodecad) + 34% British (Dodecad) @ 0.81
    16 63% S_Italian (Dodecad) + 37% Norwegian (Dodecad) @ 0.83
    17 75.7% C_Italian (Dodecad) + 24.3% Belorussian (Behar) @ 0.83
    18 61.2% Norwegian (Dodecad) + 38.8% Samaritians (Behar) @ 0.88
    19 88.5% N_Italian (Dodecad) + 11.5% Abhkasians (Yunusbayev) @ 0.88
    20 63.7% Greek (Dodecad) + 36.3% Mixed_Germanic (Dodecad) @ 0.89

  4. #794
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    MDLP World Oracle

    Admix Results (sorted):

    # Population Percent
    1 South_and_West_European 47.9
    2 North_and_East_European 21.37
    3 Caucaus_Parsia 14.83
    4 Middle_East 14.36
    5 North_Asian 0.93
    6 Indian 0.26
    7 Mesoamerican 0.24
    8 East_Asian 0.09
    9 Arctic_Amerind 0.02

    Single Population Sharing:

    # Population (source) Distance
    1 Italian-North 4.6
    2 Gagauz 6.31
    3 Bulgarian 6.55
    4 Italian_North 7.23
    5 Greek_North 7.55
    6 Romania 7.65
    7 Greek_South 7.84
    8 Macedonian 8.73
    9 Provancal 8.96
    10 Corsican 9
    11 Ashkenazim_V 9.04
    12 Montenegrin 9.12
    13 Greek_Center 9.7
    14 Swiss 9.97
    15 Italian-Center 10.43
    16 Portugese 10.78
    17 Kosovar 10.81
    18 Greek_East 11.29
    19 Serbian 11.9
    20 Italian-South 12.55

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 85.1% Italian_North + 14.9% Jew_Georgia @ 0.94
    2 85.9% Italian_North + 14.1% Jew-Iraqi @ 0.95
    3 86.2% Italian_North + 13.8% Jew_Iraqi @ 1.07
    4 51.1% Italian_North + 48.9% Greek_North @ 1.11
    5 86.7% Italian_North + 13.3% Jew-Iran @ 1.11
    6 84.1% Italian_North + 15.9% Druze @ 1.11
    7 64.6% Italian-South + 35.4% Welsh @ 1.15
    8 59.5% Italian-Center + 40.5% German-South @ 1.19
    9 66.6% French + 33.4% Cypriot @ 1.23
    10 54.9% Italian-South + 45.1% German-South @ 1.25
    11 83.9% Italian_North + 16.1% Lebanese @ 1.25
    12 58% Montenegrin + 42% Italian-South @ 1.25
    13 52.1% Italian_North + 47.9% Greek_South @ 1.26
    14 76.7% Provancal + 23.3% Cypriot @ 1.3
    15 68.4% Provancal + 31.6% Greek_Cretan @ 1.32
    16 85.7% Italian_North + 14.3% Jew_Azerbaijan @ 1.32
    17 64.3% Italian-South + 35.7% Orcadian @ 1.33
    18 86.6% Italian_North + 13.4% Jew_Kurd @ 1.34
    19 64% Italian-South + 36% CEU_V @ 1.34
    20 63.5% Italian-South + 36.5% CEU @ 1.37

  5. #795
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    Dodecad V3 Oracle results:

    Admix Results (sorted):

    # Population Percent
    1 West_European 38.11
    2 East_European 34.38
    3 Mediterranean 18.48
    4 West_Asian 6.86
    5 Southwest_Asian 0.98
    6 South_Asian 0.94
    7 Northwest_African 0.27

    Single Population Sharing:

    # Population (source) Distance
    1 Hungarians (Behar) 9.78
    2 Polish (Dodecad) 10.24
    3 Mixed_Slav (Dodecad) 10.62
    4 Slovenian (Xing) 12.29
    5 Russian (Dodecad) 16.23
    6 Balkans (Dodecad) 18.41
    7 Russian (HGDP) 20.21
    8 Finnish (Dodecad) 20.26
    9 FIN (1000Genomes) 20.62
    10 German (Dodecad) 20.82
    11 Belorussian (Behar) 21.81
    12 Romanians_14 (Behar) 23.52
    13 Lithuanians (Behar) 25.88
    14 N._European (Xing) 26.16
    15 CEU (HapMap) 26.21
    16 Argyll (1000 Genomes) 26.36
    17 Orcadian (HGDP) 27.24
    18 Orkney (1000 Genomes) 27.39
    19 Lithuanian (Dodecad) 28.43
    20 Chuvashs_16 (Behar) 30.54

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 67.9% Slovenian (Xing) + 32.1% Lithuanians (Behar) @ 0.94
    2 69.9% Slovenian (Xing) + 30.1% Lithuanian (Dodecad) @ 1.05
    3 71.4% Mixed_Slav (Dodecad) + 28.6% CEU (HapMap) @ 1.75
    4 71.4% Mixed_Slav (Dodecad) + 28.6% N._European (Xing) @ 1.91
    5 54.7% Polish (Dodecad) + 45.3% Slovenian (Xing) @ 1.94
    6 71.6% Mixed_Slav (Dodecad) + 28.4% Argyll (1000 Genomes) @ 2.04
    7 72.3% Mixed_Slav (Dodecad) + 27.7% Orcadian (HGDP) @ 2.08
    8 72.4% Mixed_Slav (Dodecad) + 27.6% Orkney (1000 Genomes) @ 2.14
    9 66.6% Mixed_Slav (Dodecad) + 33.4% German (Dodecad) @ 2.18
    10 76.3% Mixed_Slav (Dodecad) + 23.7% French (HGDP) @ 2.2
    11 76% Mixed_Slav (Dodecad) + 24% Mixed_Germanic (Dodecad) @ 2.26
    12 76.9% Mixed_Slav (Dodecad) + 23.1% Dutch (Dodecad) @ 2.31
    13 53.8% Mixed_Slav (Dodecad) + 46.2% Slovenian (Xing) @ 2.39
    14 77.9% Mixed_Slav (Dodecad) + 22.1% Kent (1000 Genomes) @ 2.54
    15 79% Mixed_Slav (Dodecad) + 21% Cornwall (1000 Genomes) @ 2.7
    16 54.6% Belorussian (Behar) + 45.4% N._European (Xing) @ 2.75
    17 78.7% Mixed_Slav (Dodecad) + 21.3% British (Dodecad) @ 2.76
    18 72.5% Polish (Dodecad) + 27.5% N._European (Xing) @ 2.81
    19 78.6% Mixed_Slav (Dodecad) + 21.4% British_Isles (Dodecad) @ 2.86
    20 73.3% Hungarians (Behar) + 26.7% Lithuanians (Behar) @ 2.87


    Least-squares method.

    Using 1 population approximation:
    1 Hungarians @ 10.755527
    2 Polish @ 11.327818
    3 Mixed_Slav @ 11.690148
    4 Slovenian @ 13.534920
    5 Russian @ 17.728363
    6 Balkans @ 20.442562
    7 Russian @ 21.845564
    8 Finnish @ 22.044956
    9 FIN @ 22.636923
    10 German @ 23.048969
    11 Belorussian @ 24.108944
    12 Romanians_14 @ 26.131386
    13 Lithuanians @ 28.537691
    14 N._European @ 28.912584
    15 CEU @ 28.968390
    16 Argyll @ 29.157232
    17 Orcadian @ 30.137230
    18 Orkney @ 30.307390
    19 Chuvashs_16 @ 31.315340
    20 Lithuanian @ 31.340183

    Using 2 populations approximation:
    1 50% Polish +50% Slovenian @ 2.392772


    Using 3 populations approximation:
    1 50% Lithuanian +25% Orkney +25% TSI @ 1.170183


    Using 4 populations approximation:
    1 Balkans + Dutch + Lithuanian + Mixed_Slav @ 0.910543
    2 Belorussian + Irish + Lithuanians + Romanians_14 @ 1.004835
    3 Balkans + Kent + Lithuanian + Mixed_Slav @ 1.006900
    4 Balkans + Lithuanian + Mixed_Germanic + Polish @ 1.029932
    5 Lithuanian + Lithuanians + TSI + Argyll @ 1.153699
    6 Balkans + Lithuanians + Mixed_Germanic + Mixed_Slav @ 1.154912
    7 Lithuanian + Lithuanians + Orkney + Tuscan @ 1.162777
    8 Lithuanian + Lithuanian + Orkney + TSI @ 1.170183
    9 Lithuanian + Lithuanian + Orcadian + TSI @ 1.178840
    10 Lithuanian + Lithuanians + Orcadian + Tuscan @ 1.181350
    11 Balkans + Lithuanians + Mixed_Germanic + Polish @ 1.182451
    12 Balkans + British_Isles + Lithuanian + Mixed_Slav @ 1.201760
    13 Balkans + Lithuanian + Mixed_Germanic + Mixed_Slav @ 1.218817
    14 Balkans + British + Lithuanian + Mixed_Slav @ 1.226513
    15 Lithuanian + Lithuanians + Argyll + Tuscan @ 1.232351
    16 Lithuanian + Lithuanians + Orkney + TSI @ 1.232370
    17 Lithuanian + Lithuanians + Orcadian + TSI @ 1.235545
    18 Balkans + Dutch + Lithuanian + Polish @ 1.236009
    19 Balkans + Dutch + Lithuanians + Mixed_Slav @ 1.244841
    20 Lithuanians + Lithuanians + Argyll + Tuscan @ 1.308403

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    My Dodecad V3

    Admix Results (sorted):

    # Population Percent
    1 Mediterranean 38.16
    2 West_European 25.04
    3 West_Asian 20.54
    4 East_European 8.96
    5 Southwest_Asian 5.87
    6 Northwest_African 1.28


    Finished reading population data. 227 populations found.
    12 components mode.

    --------------------------------

    Least-squares method.

    Using 1 population approximation:
    1 Tuscan @ 6.850284
    2 O_Italian @ 7.254836
    3 TSI @ 7.847047
    4 Tuscan @ 7.909422
    5 C_Italian @ 9.687190
    6 Ashkenazy_Jews @ 11.203115
    7 Tuscan @ 11.604971
    8 Ashkenazi @ 12.027326
    9 N_Italian @ 13.972623
    10 Greek @ 14.335283
    11 S_Italian_Sicilian @ 14.558950
    12 Sicilian @ 16.107536
    13 Romanians_14 @ 16.355957
    14 S_Italian @ 17.814007
    15 North_Italian @ 17.922583
    16 Morocco_Jews @ 18.501110
    17 Sephardic_Jews @ 21.115707
    18 Balkans @ 21.960119
    19 Portuguese @ 25.491079
    20 Sardinian @ 25.871229

    Using 2 populations approximation:
    1 50% Greek +50% Tuscan @ 4.430469


    Using 3 populations approximation:
    1 50% Greek +25% Mixed_Germanic +25% Sicilian @ 1.273506


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++
    1 Greek + Greek + Mixed_Germanic + Sicilian @ 1.273506
    2 Greek + Greek + Mixed_Germanic + S_Italian_Sicilian @ 1.300155
    3 Ashkenazy_Jews + French + Greek + Greek @ 1.312880
    4 Romanians_14 + S_Italian_Sicilian + TSI + TSI @ 1.381657
    5 Armenian + Balkans + IBS + N_Italian @ 1.392216
    6 Armenian + Balkans + N_Italian + Spanish @ 1.415781
    7 Assyrian + Balkans + IBS + N_Italian @ 1.420595
    8 Cypriots + German + Greek + N_Italian @ 1.474613
    9 Armenian + Hungarians + N_Italian + Sardinian @ 1.484990
    10 Ashkenazy_Jews + French + Greek + Greek @ 1.485032
    11 Assyrian + Balkans + N_Italian + Spanish @ 1.511808
    12 Romanians_14 + S_Italian + TSI + TSI @ 1.524389
    13 C_Italian + German + Greek + S_Italian_Sicilian @ 1.541608
    14 Assyrian + Balkans + N_Italian + Spaniards @ 1.557757
    15 Balkans + S_Italian + TSI + TSI @ 1.566572
    16 Romanians_14 + S_Italian_Sicilian + TSI + Tuscan @ 1.567926
    17 C_Italian + Greek + Greek + N._European @ 1.622190
    18 Greek + S_Italian + S_Italian + Swedish @ 1.623266
    19 C_Italian + German + Greek + S_Italian @ 1.633489
    20 Greek + Greek + Orkney + S_Italian_Sicilian @ 1.639009



    World9

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 49.11
    2 Southern 30.36
    3 Caucasus_Gedrosia 20.08


    Finished reading population data. 250 populations found.
    9 components mode.

    --------------------------------

    Least-squares method.

    Using 1 population approximation:
    1 Tuscan @ 1.709317
    2 TSI30 @ 1.882739
    3 O_Italian @ 3.715472
    4 C_Italian @ 6.711706
    5 Bulgarian @ 8.610929
    6 Bulgarians @ 9.357502
    7 N_Italian @ 9.855529
    8 North_Italian @ 9.918667
    9 Romanians @ 9.927156
    10 Greek @ 11.792435
    11 Baleares @ 15.615083
    12 Sicilian @ 15.857606
    13 Murcia @ 15.869084
    14 Ashkenazy_Jews @ 15.875590
    15 Canarias @ 16.149975
    16 S_Italian_Sicilian @ 16.511486
    17 Andalucia @ 17.062424
    18 S_Italian @ 17.390936
    19 Ashkenazi @ 17.439335
    20 Extremadura @ 17.699799

    Using 2 populations approximation:
    1 50% Greek +50% N_Italian @ 0.969665


    Using 3 populations approximation:
    1 50% N_Italian +25% Samaritians +25% Argyll @ 0.441611


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
    1 S_Italian + North_Italian + TSI30 + Bulgarians @ 0.000000
    2 S_Italian_Sicilian + North_Italian + Tuscan + Bulgarians @ 0.260345
    3 N_Italian + French + Tuscan + Cypriots @ 0.269451
    4 N_Italian + French + TSI30 + Cypriots @ 0.269451
    5 S_Italian_Sicilian + Bulgarian + North_Italian + TSI30 @ 0.323936
    6 Dutch + Sardinian + Tuscan + Armenians @ 0.325300
    7 S_Italian_Sicilian + North_Italian + TSI30 + Bulgarians @ 0.325956
    8 Greek + C_Italian + C_Italian + French @ 0.326942
    9 French + North_Italian + Sardinian + Georgians @ 0.327993
    10 O_Italian + Sardinian + Armenians + Kent @ 0.361279
    11 Norwegian + French_Basque + Cypriots + Cypriots @ 0.390236
    12 C_Italian + Tuscan + Tuscan + Bulgarians @ 0.408176
    13 German + Sardinian + Tuscan + Armenians @ 0.408206
    14 N_Italian + N_Italian + Samaritians + Argyll @ 0.441611
    15 S_Italian + North_Italian + Tuscan + Bulgarians @ 0.444016
    16 Armenian + Norwegian + Sardinian + Tuscan @ 0.448007
    17 Irish + N_Italian + N_Italian + Samaritians @ 0.448219
    18 Mixed_Germanic + Sardinian + Tuscan + Armenians @ 0.454081
    19 Greek + French + C_Italian + C_Italian @ 0.459133
    20 Norwegian + Sardinian + Tuscan + Armenians @ 0.480522

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    Dodecad V3






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    Interestingly!
    Oracles almost everywhere show steadily the British Isles, Germany, the majority they with us have the general site of DNA in the 15th chromosome. There are even Basques, correspond with one family, say that they are clean Basques, other families from the British Isles know the family trees till 13-15 centuries.
    Dodecad K12b 4-Ancestors Oracle



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