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Thread: Moldovan/Romanian GEDmatch Resuts

  1. #931
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    14) Moldova_747_R02C02_or.Straseni

    Code:
    Components	%	
    North_Atlantic	23.29	
    Baltic	32.20	
    West_Med	12.93	
    West_Asian	7.08	
    East_Med	18.01	
    Red_Sea	0.79	
    South_Asian	1.47	
    East_Asian	0.00	
    Siberian	0.85	
    Amerindian	2.61	
    Oceanian	0.00	
    Northeast_African	0.00	
    Sub-Saharan	0.77

    Oracle
    Mixed Mode:
    1 56.64% Estonian_Polish + 43.36% Ashkenazi @ 3.571
    2 51.17% Lithuanian + 48.83% Ashkenazi @ 3.571
    3 66.02% Southwest_Russian + 33.98% Italian_Jew @ 3.603
    4 50.39% Ashkenazi + 49.61% Lithuanian @ 3.680
    5 60.55% Southwest_Russian + 39.45% Ashkenazi @ 3.697
    6 63.67% Ukrainian + 36.33% Ashkenazi @ 3.736
    7 56.64% Belorussian + 43.36% Ashkenazi @ 3.752
    8 57.42% Lithuanian + 42.58% Italian_Jew @ 3.767
    9 62.89% Estonian_Polish + 37.11% Italian_Jew @ 3.833
    10 57.42% Russian_Smolensk + 42.58% Ashkenazi @ 3.873


    Least-squares method.


    Using 1 populations approximation
    1 100% Serbian @ 8.340
    2 100% Moldavian @ 8.762
    3 100% Romanian @ 10.138
    4 100% Croatian @ 10.597
    5 100% Bulgarian @ 11.385
    6 100% Hungarian @ 12.160
    7 100% Ukrainian_Lviv @ 16.674
    8 100% South_Polish @ 17.353
    9 100% Austrian @ 17.493
    10 100% Ukrainian @ 17.567


    Using 2 populations approximation
    1 50% Lithuanian + 50% Ashkenazi @ 3.632
    2 50% Estonian + 50% Ashkenazi @ 3.992
    3 50% Southwest_Russian + 50% Greek_Thessaly @ 4.370
    4 50% Greek_Thessaly + 50% Belorussian @ 4.494
    5 50% Greek_Thessaly + 50% Estonian_Polish @ 4.617
    6 50% Lithuanian + 50% East_Sicilian @ 4.963
    7 50% Belorussian + 50% Ashkenazi @ 5.003
    8 50% Estonian_Polish + 50% Ashkenazi @ 5.062
    9 50% Central_Greek + 50% Lithuanian @ 5.083
    10 50% Greek_Thessaly + 50% Ukrainian_Belgorod @ 5.114


    Using 3 populations approximation
    1 33% Southwest_Russian + 33% Southwest_Russian + 33% Italian_Jew @ 3.618
    2 33% Ukrainian + 33% Southwest_Russian + 33% Italian_Jew @ 3.677
    3 33% Southwest_Russian + 33% Ukrainian_Belgorod + 33% Italian_Jew @ 3.959
    4 33% Ukrainian + 33% Southwest_Russian + 33% Ashkenazi @ 4.029
    5 33% Ukrainian + 33% Ukrainian + 33% Ashkenazi @ 4.033
    6 33% South_Polish + 33% Ukrainian + 33% Ashkenazi @ 4.139
    7 33% Southwest_Russian + 33% Southwest_Russian + 33% Algerian_Jew @ 4.142
    8 33% Ukrainian + 33% Southwest_Russian + 33% Algerian_Jew @ 4.167
    9 33% Ukrainian_Belgorod + 33% Polish + 33% Italian_Jew @ 4.196
    10 33% Ukrainian_Belgorod + 33% Russian_Smolensk + 33% Italian_Jew @ 4.330


    Using 4 populations approximation
    1 25% Lithuanian + 25% Lithuanian + 25% West_Sicilian + 25% Ashkenazi @ 3.837
    2 25% Estonian + 25% Estonian + 25% Central_Greek + 25% Ashkenazi @ 4.241
    3 25% Southwest_Russian + 25% Southwest_Russian + 25% Greek_Thessaly + 25% Greek_Thessaly @ 4.370
    4 25% Southwest_Russian + 25% Southwest_Russian + 25% Greek_Thessaly + 25% Ashkenazi @ 4.448
    5 25% Greek_Thessaly + 25% Greek_Thessaly + 25% Ukrainian_Belgorod + 25% Belorussian @ 4.525
    6 25% Greek_Thessaly + 25% Greek_Thessaly + 25% Ukrainian_Belgorod + 25% Estonian_Polish @ 4.643
    7 25% Ukrainian + 25% Ukrainian + 25% Ukrainian + 25% Lebanese_Druze @ 4.720
    8 25% Lithuanian + 25% Lithuanian + 25% West_Sicilian + 25% Italian_Jew @ 4.837
    9 25% South_Polish + 25% South_Polish + 25% Ukrainian + 25% Lebanese_Druze @ 4.860
    10 25% Lithuanian + 25% Lithuanian + 25% West_Sicilian + 25% East_Sicilian @ 4.906


    nMonte
    Distance: 5.85


    35.80% Southwest_Russian
    25.00% Bulgarian
    24.20% Serbian
    13.40% Ashkenazi
    00.80% Belorussian
    00.80% Karitiana


    PCA

  2. #932
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    15) Moldova_748_R01C01_or.Straseni

    Code:
    Components	%	
    North_Atlantic	22.65	
    Baltic	36.26	
    West_Med	13.43	
    West_Asian	10.10	
    East_Med	11.95	
    Red_Sea	0.03	
    South_Asian	0.81	
    East_Asian	0.00	
    Siberian	1.38	
    Amerindian	1.56	
    Oceanian	0.72	
    Northeast_African	0.00	
    Sub-Saharan	1.12

    Oracle
    Mixed Mode:
    1 51.95% Ukrainian_Belgorod + 48.05% Bulgarian @ 2.563
    2 52.73% Southwest_Russian + 47.27% Bulgarian @ 2.626
    3 50.39% Bulgarian + 49.61% Ukrainian_Belgorod @ 2.675
    4 50.39% Bulgarian + 49.61% Southwest_Russian @ 2.762
    5 64.45% Ukrainian_Belgorod + 35.55% Greek_Thessaly @ 2.783
    6 80.86% Ukrainian + 19.14% Cypriot @ 2.869
    7 82.42% Ukrainian + 17.58% Assyrian @ 2.938
    8 70.70% Southwest_Russian + 29.30% Central_Greek @ 3.008
    9 73.05% Ukrainian_Belgorod + 26.95% South_Italian @ 3.018
    10 54.30% Bulgarian + 45.70% Kargopol_Russian @ 3.041


    Least-squares method.


    Using 1 populations approximation
    1 100% Moldavian @ 4.362
    2 100% Croatian @ 6.156
    3 100% Ukrainian_Lviv @ 10.668
    4 100% Hungarian @ 11.410
    5 100% Serbian @ 11.411
    6 100% Ukrainian @ 11.812
    7 100% South_Polish @ 12.336
    8 100% Romanian @ 14.161
    9 100% Southwest_Russian @ 14.254
    10 100% Ukrainian_Belgorod @ 14.434


    Using 2 populations approximation
    1 50% Ukrainian_Belgorod + 50% Bulgarian @ 2.644
    2 50% Southwest_Russian + 50% Bulgarian @ 2.729
    3 50% Romanian + 50% Ukrainian_Belgorod @ 3.353
    4 50% Bulgarian + 50% Kargopol_Russian @ 3.391
    5 50% Romanian + 50% Southwest_Russian @ 3.437
    6 50% Bulgarian + 50% Russian_Smolensk @ 3.611
    7 50% Bulgarian + 50% Erzya @ 3.633
    8 50% Bulgarian + 50% Estonian_Polish @ 3.818
    9 50% Romanian + 50% Erzya @ 4.175
    10 50% Lithuanian + 50% Greek_Thessaly @ 4.299


    Using 3 populations approximation
    1 33% Ukrainian_Belgorod + 33% Ukrainian_Belgorod + 33% Greek_Thessaly @ 2.926
    2 33% Southwest_Russian + 33% Ukrainian_Belgorod + 33% Greek_Thessaly @ 2.935
    3 33% Southwest_Russian + 33% Southwest_Russian + 33% Greek_Thessaly @ 3.170
    4 33% Erzya + 33% Lithuanian + 33% South_Italian @ 3.352
    5 33% Southwest_Russian + 33% Ukrainian_Belgorod + 33% Central_Greek @ 3.451
    6 33% Southwest_Russian + 33% Southwest_Russian + 33% Central_Greek @ 3.533
    7 33% Estonian_Polish + 33% Kargopol_Russian + 33% Central_Greek @ 3.564
    8 33% Ukrainian_Belgorod + 33% Ukrainian_Belgorod + 33% Central_Greek @ 3.566
    9 33% Belorussian + 33% Kargopol_Russian + 33% Central_Greek @ 3.802
    10 33% Ukrainian_Belgorod + 33% Polish + 33% Greek_Thessaly @ 3.827


    Using 4 populations approximation
    1 25% Bulgarian + 25% Bulgarian + 25% Polish + 25% Erzya @ 2.485
    2 25% Ukrainian_Belgorod + 25% Ukrainian_Belgorod + 25% Bulgarian + 25% Bulgarian @ 2.644
    3 25% Southwest_Russian + 25% Southwest_Russian + 25% Bulgarian + 25% Bulgarian @ 2.729
    4 25% Romanian + 25% Romanian + 25% Ukrainian_Belgorod + 25% Erzya @ 3.023
    5 25% Southwest_Russian + 25% Southwest_Russian + 25% Ukrainian_Belgorod + 25% South_Italian @ 3.059
    6 25% Romanian + 25% Romanian + 25% Southwest_Russian + 25% Erzya @ 3.125
    7 25% Ukrainian_Belgorod + 25% Ukrainian_Belgorod + 25% Ukrainian_Belgorod + 25% South_Italian @ 3.166
    8 25% Southwest_Russian + 25% Southwest_Russian + 25% Southwest_Russian + 25% South_Italian @ 3.193
    9 25% Bulgarian + 25% Bulgarian + 25% Polish + 25% Kargopol_Russian @ 3.274
    10 25% Romanian + 25% Romanian + 25% Southwest_Russian + 25% Ukrainian_Belgorod @ 3.338




    nMonte
    Distance: 3.52


    65.60% Moldavian
    14.40% Southwest_Russian
    09.40% Bulgarian
    07.20% Erzya
    01.40% Ukrainian_Belgorod
    01.00% Lebanese_Druze
    00.60% Assyrian
    00.40% Georgian_Jew


    PCA

  3. #933
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    Last one for tonight

    16) Moldova_748_R01C02_or.Straseni

    Code:
    Components	%	
    North_Atlantic	25.83	
    Baltic	27.54	
    West_Med	16.04	
    West_Asian	11.41	
    East_Med	12.98	
    Red_Sea	2.80	
    South_Asian	1.24	
    East_Asian	0.00	
    Siberian	1.25	
    Amerindian	0.00	
    Oceanian	0.91	
    Northeast_African	0.00	
    Sub-Saharan	0.00

    Oracle
    Mixed Mode:
    1 58.98% Ukrainian_Lviv + 41.02% Italian_Abruzzo @ 2.285
    2 78.52% Moldavian + 21.48% Italian_Abruzzo @ 2.580
    3 76.95% Moldavian + 23.05% Tuscan @ 2.643
    4 71.48% Croatian + 28.52% Italian_Abruzzo @ 2.697
    5 95.70% Serbian + 4.30% Kalash @ 2.723
    6 95.70% Serbian + 4.30% Burusho @ 2.842
    7 96.48% Serbian + 3.52% Balochi @ 2.873
    8 96.48% Serbian + 3.52% Brahui @ 2.899
    9 53.52% Romanian + 46.48% Moldavian @ 2.900
    10 94.92% Serbian + 5.08% Afghan_Pashtun @ 2.908


    Least-squares method.


    Using 1 populations approximation
    1 100% Serbian @ 3.833
    2 100% Romanian @ 6.342
    3 100% Moldavian @ 7.151
    4 100% Bulgarian @ 9.326
    5 100% Hungarian @ 9.988
    6 100% Croatian @ 10.292
    7 100% Austrian @ 13.443
    8 100% East_German @ 15.241
    9 100% Ukrainian_Lviv @ 17.416
    10 100% South_Polish @ 18.276


    Using 2 populations approximation
    1 50% Romanian + 50% Moldavian @ 2.934
    2 50% Polish + 50% Italian_Abruzzo @ 3.370
    3 50% Russian_Smolensk + 50% Italian_Abruzzo @ 3.620
    4 50% Serbian + 50% Moldavian @ 3.706
    5 50% Bulgarian + 50% Hungarian @ 3.726
    6 50% Romanian + 50% Croatian @ 3.766
    7 50% Tuscan + 50% Ukrainian_Belgorod @ 3.773
    8 50% Serbian + 50% Serbian @ 3.833
    9 50% Romanian + 50% Hungarian @ 4.114
    10 50% Bulgarian + 50% Croatian @ 4.144


    Using 3 populations approximation
    1 33% Austrian + 33% Ukrainian_Lviv + 33% Central_Greek @ 2.594
    2 33% East_German + 33% Ukrainian_Lviv + 33% Central_Greek @ 2.674
    3 33% Serbian + 33% Romanian + 33% Moldavian @ 2.708
    4 33% East_German + 33% Ukrainian_Lviv + 33% East_Sicilian @ 3.064
    5 33% Austrian + 33% Ukrainian_Lviv + 33% East_Sicilian @ 3.102
    6 33% Romanian + 33% Romanian + 33% Croatian @ 3.127
    7 33% Serbian + 33% Serbian + 33% Moldavian @ 3.129
    8 33% Croatian + 33% Croatian + 33% Italian_Abruzzo @ 3.144
    9 33% East_German + 33% Ukrainian_Lviv + 33% South_Italian @ 3.200
    10 33% Moldavian + 33% Hungarian + 33% Greek_Thessaly @ 3.265


    Using 4 populations approximation
    1 25% Moldavian + 25% Moldavian + 25% Hungarian + 25% Italian_Abruzzo @ 2.330
    2 25% Estonian_Polish + 25% Estonian_Polish + 25% Spanish_Extremadura + 25% Turkish @ 2.665
    3 25% Moldavian + 25% Moldavian + 25% Moldavian + 25% Tuscan @ 2.721
    4 25% Estonian_Polish + 25% Estonian_Polish + 25% Spanish_Castilla_Y_Leon + 25% Armenian @ 2.756
    5 25% Russian_Smolensk + 25% Russian_Smolensk + 25% Spanish_Cataluna + 25% Turkish @ 2.757
    6 25% Romanian + 25% Romanian + 25% Moldavian + 25% Hungarian @ 2.794
    7 25% Serbian + 25% Serbian + 25% Romanian + 25% Moldavian @ 2.817
    8 25% Moldavian + 25% Moldavian + 25% Moldavian + 25% Italian_Abruzzo @ 2.835
    9 25% Moldavian + 25% Moldavian + 25% Hungarian + 25% Greek_Thessaly @ 2.842
    10 25% Lithuanian + 25% Lithuanian + 25% Spanish_Aragon + 25% Armenian @ 2.852


    nMonte
    Distance: 2.39


    64.80% Serbian
    28.60% Moldavian
    02.00% Ossetian
    01.60% Balochi
    01.40% French_Basque
    00.40% Romanian
    00.40% Southwest_French
    00.40% Spanish_Galicia
    00.20% Brahui
    00.20% Kabardin


    PCA

  4. #934
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    Continuing from yesterday

    17) Moldova_748_R02C01_or.Straseni

    Code:
    Components	%	
    North_Atlantic	26.21	
    Baltic	36.67	
    West_Med	13.51	
    West_Asian	6.70	
    East_Med	11.85	
    Red_Sea	1.81	
    South_Asian	0.00	
    East_Asian	0.12	
    Siberian	1.81	
    Amerindian	1.31	
    Oceanian	0.00	
    Northeast_African	0.00	
    Sub-Saharan	0.00

    Oracle
    Mixed Mode:
    1 70.70% Southwest_Russian + 29.30% Tuscan @ 1.632
    2 51.17% Romanian + 48.83% Estonian_Polish @ 1.804
    3 82.42% Ukrainian + 17.58% Italian_Jew @ 1.834
    4 50.39% Estonian_Polish + 49.61% Romanian @ 1.855
    5 55.08% Bulgarian + 44.92% Estonian @ 1.882
    6 82.42% Ukrainian + 17.58% Sephardic_Jew @ 1.951
    7 79.30% Ukrainian + 20.70% Ashkenazi @ 1.981
    8 56.64% Estonian + 43.36% Greek_Thessaly @ 1.982
    9 69.92% Estonian_Polish + 30.08% West_Sicilian @ 2.045
    10 69.14% Estonian_Polish + 30.86% Italian_Abruzzo @ 2.095


    Least-squares method.


    Using 1 populations approximation
    1 100% Croatian @ 3.686
    2 100% Moldavian @ 5.422
    3 100% Hungarian @ 8.274
    4 100% Ukrainian_Lviv @ 8.733
    5 100% South_Polish @ 9.582
    6 100% Ukrainian @ 9.778
    7 100% Serbian @ 10.894
    8 100% Southwest_Russian @ 13.170
    9 100% Polish @ 13.293
    10 100% East_German @ 13.463


    Using 2 populations approximation
    1 50% Romanian + 50% Estonian_Polish @ 1.830
    2 50% Romanian + 50% Belorussian @ 2.201
    3 50% Belorussian + 50% Bulgarian @ 2.283
    4 50% Estonian_Polish + 50% Bulgarian @ 2.340
    5 50% Bulgarian + 50% Estonian @ 2.634
    6 50% Serbian + 50% Southwest_Russian @ 2.658
    7 50% Romanian + 50% Russian_Smolensk @ 2.694
    8 50% Ukrainian + 50% Serbian @ 2.880
    9 50% Russian_Smolensk + 50% Bulgarian @ 3.045
    10 50% Southwest_Russian + 50% Romanian @ 3.085


    Using 3 populations approximation
    1 33% Estonian + 33% Lithuanian + 33% South_Italian @ 1.934
    2 33% Estonian_Polish + 33% Estonian_Polish + 33% Italian_Abruzzo @ 2.344
    3 33% Southwest_Russian + 33% Polish + 33% Greek_Thessaly @ 2.402
    4 33% Southwest_Russian + 33% Southwest_Russian + 33% Tuscan @ 2.421
    5 33% Estonian_Polish + 33% Estonian_Polish + 33% West_Sicilian @ 2.552
    6 33% Estonian_Polish + 33% Belorussian + 33% Italian_Abruzzo @ 2.563
    7 33% Estonian_Polish + 33% Belorussian + 33% West_Sicilian @ 2.588
    8 33% Polish + 33% Polish + 33% Greek_Thessaly @ 2.625
    9 33% Estonian + 33% Estonian + 33% South_Italian @ 2.629
    10 33% Estonian_Polish + 33% Estonian_Polish + 33% Tuscan @ 2.652


    Using 4 populations approximation
    1 25% Romanian + 25% Romanian + 25% Estonian_Polish + 25% Estonian_Polish @ 1.830
    2 25% Romanian + 25% Romanian + 25% Estonian_Polish + 25% Belorussian @ 1.954
    3 25% Southwest_Russian + 25% Southwest_Russian + 25% Polish + 25% West_Sicilian @ 2.157
    4 25% Ukrainian + 25% Ukrainian + 25% Southwest_Russian + 25% West_Sicilian @ 2.216
    5 25% Romanian + 25% Romanian + 25% Russian_Smolensk + 25% Estonian_Polish @ 2.233
    6 25% Belorussian + 25% Belorussian + 25% Bulgarian + 25% Bulgarian @ 2.283
    7 25% Ukrainian + 25% Ukrainian + 25% Southwest_Russian + 25% Tuscan @ 2.314
    8 25% Romanian + 25% Romanian + 25% Russian_Smolensk + 25% Belorussian @ 2.338
    9 25% Estonian_Polish + 25% Estonian_Polish + 25% Bulgarian + 25% Bulgarian @ 2.340
    10 25% Polish + 25% Polish + 25% Polish + 25% Ashkenazi @ 2.381




    nMonte
    Distance: 3.01


    81.00% Croatian
    07.60% Southwest_Russian
    03.20% Saami_Finland
    02.60% Ashkenazi
    02.00% Yemenite_Jew
    01.60% Serbian
    01.20% Belorussian
    00.60% Estonian_Polish
    00.20% Ukrainian


    PCA

  5. #935
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    18) Moldova_748_R02C02_or.Straseni

    Code:
    Components	%	
    North_Atlantic	28.04	
    Baltic	32.24	
    West_Med	15.49	
    West_Asian	6.59	
    East_Med	13.52	
    Red_Sea	1.22	
    South_Asian	0.08	
    East_Asian	0.00	
    Siberian	2.23	
    Amerindian	0.42	
    Oceanian	0.17	
    Northeast_African	0.00	
    Sub-Saharan	0.00

    Oracle
    Mixed Mode:
    1 56.64% Southwest_Russian + 43.36% North_Italian @ 2.081
    2 56.64% Estonian_Polish + 43.36% Tuscan @ 2.198
    3 65.23% Ukrainian + 34.77% Tuscan @ 2.261
    4 50.39% Lithuanian + 49.61% Tuscan @ 2.354
    5 50.39% Tuscan + 49.61% Lithuanian @ 2.371
    6 55.86% Belorussian + 44.14% Tuscan @ 2.376
    7 55.86% Estonian + 44.14% West_Sicilian @ 2.532
    8 58.98% Southwest_Russian + 41.02% Tuscan @ 2.566
    9 62.11% Bulgarian + 37.89% Southwest_Finnish @ 2.592
    10 80.86% Serbian + 19.14% Estonian @ 2.627


    Least-squares method.


    Using 1 populations approximation
    1 100% Moldavian @ 6.152
    2 100% Croatian @ 6.315
    3 100% Hungarian @ 6.348
    4 100% Serbian @ 6.461
    5 100% Romanian @ 11.027
    6 100% Austrian @ 11.134
    7 100% East_German @ 12.003
    8 100% Ukrainian_Lviv @ 13.276
    9 100% South_Polish @ 13.382
    10 100% Bulgarian @ 13.722


    Using 2 populations approximation
    1 50% Lithuanian + 50% Tuscan @ 2.354
    2 50% Croatian + 50% Serbian @ 3.229
    3 50% Estonian + 50% Tuscan @ 3.356
    4 50% Southwest_Finnish + 50% Greek_Thessaly @ 3.357
    5 50% Greek_Thessaly + 50% Estonian @ 3.417
    6 50% Southwest_Russian + 50% North_Italian @ 3.527
    7 50% Romanian + 50% South_Polish @ 3.614
    8 50% Belorussian + 50% Tuscan @ 3.666
    9 50% North_Italian + 50% Erzya @ 3.747
    10 50% Estonian_Polish + 50% Tuscan @ 3.747


    Using 3 populations approximation
    1 33% South_Polish + 33% Ukrainian + 33% Tuscan @ 2.303
    2 33% Ukrainian + 33% Ukrainian + 33% Tuscan @ 2.345
    3 33% Ukrainian_Lviv + 33% South_Polish + 33% Tuscan @ 2.745
    4 33% Ukrainian + 33% Southwest_Russian + 33% Tuscan @ 2.781
    5 33% South_Polish + 33% South_Polish + 33% Tuscan @ 2.833
    6 33% Serbian + 33% Serbian + 33% Ukrainian @ 2.921
    7 33% Serbian + 33% Serbian + 33% South_Polish @ 3.003
    8 33% South_Polish + 33% Ukrainian + 33% West_Sicilian @ 3.012
    9 33% Ukrainian + 33% Polish + 33% West_Sicilian @ 3.014
    10 33% Ukrainian + 33% Polish + 33% Tuscan @ 3.039


    Using 4 populations approximation
    1 25% Lithuanian + 25% Lithuanian + 25% Tuscan + 25% Tuscan @ 2.354
    2 25% Serbian + 25% Serbian + 25% Romanian + 25% Estonian @ 2.725
    3 25% Serbian + 25% Serbian + 25% Serbian + 25% Estonian_Polish @ 2.905
    4 25% Serbian + 25% Serbian + 25% Serbian + 25% Ukrainian @ 2.932
    5 25% Lithuanian + 25% Lithuanian + 25% Spanish_Cataluna + 25% Ashkenazi @ 2.957
    6 25% Estonian_Polish + 25% Estonian_Polish + 25% French + 25% Central_Greek @ 2.979
    7 25% Lithuanian + 25% Lithuanian + 25% Spanish_Cataluna + 25% South_Italian @ 2.995
    8 25% Serbian + 25% Serbian + 25% Serbian + 25% Polish @ 3.013
    9 25% Serbian + 25% Serbian + 25% Serbian + 25% Belorussian @ 3.015
    10 25% Serbian + 25% Serbian + 25% Romanian + 25% Finnish @ 3.060


    nMonte
    Distance: 3.32


    45.60% Serbian
    31.00% Croatian
    15.40% Hungarian
    03.40% Saami_Finland
    02.60% Belorussian
    02.00% Sardinian


    PCA

  6. #936
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    Admixture studio has an interesting feature, called Clusters K-Means, where pops are automatically grouped into similar genetic clusters.
    I used this feature in Eurogenes K15, as this calculator on Admixture Studio uses my old regional samples for Romania (The average sample for R. Moldova is the same as on Eurogenes K13) and many other updated samples for other ethnicities.

    Romania_South = Wallachia (Muntenia + Oltenia + Dobruja)
    Romania_Ne = North Moldova (Suceava + Botosani + Neamt + Iasi)
    Romania_Se = South Moldova (Bacau + Vaslui + Vrancea + Galati)
    Romania_Nw = North Transylvania (Cluj + Mures + Maramures + Bihor)
    Romania_Sw = South Transylvania (Timis + Arad + Alba + Hunedoara)

    Example with my data:



    I will probably do a K15 run on academic samples after this.

  7. #937
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    Quote Originally Posted by Ion Basescul View Post
    Eurogenes K15 map.


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    Quote Originally Posted by Aspirin View Post
    Eurogenes K15 map.

    That's just "Straseni".
    By the way, for those who don't know, we are not sure if these samples labeled as "Straseni" come from there necessarily.
    The authors of the study are looking into this right now, but the preliminary opinion is that Straseni is either the middle point for all samples collected from all over the country, or just an arbitrary location without any connection to the samples.

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    Quote Originally Posted by Ion Basescul View Post
    That's just "Straseni".
    By the way, for those who don't know, we are not sure if these samples labeled as "Straseni" come from there necessarily.
    The authors of the study are looking into this right now, but the preliminary opinion is that Straseni is either the middle point for all samples collected from all over the country, or just an arbitrary location without any connection to the samples.
    On this map is clearly seen who is mixed, and who is not.

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    Quote Originally Posted by Aspirin View Post
    On this map is clearly seen who is mixed, and who is not.
    The Moldavian average itself is mixed, so it's hard to tell.
    I'd guess those between Serbian and Moldavian are the purest for X region. Is this your conclusion too?
    Southern samples from Stefan Voda and Cahul will plot in the Romanian-Bulgarian range.

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