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Thread: MDLP K13 Ultimate beta-calculator

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    MDLP K13 Ultimate beta-calculator

    This is a preliminary announcement of my new offering MDLP K13 beta calculator

    Initially i planned to include into my dataset the imputed ancient genomes. After spending a couple of months on imputation of available ancient genomes I have finally decided to give up the imputing routines. The imputation of ancient genomes obviously turned out to be a pointless exercise, since we do not have a reliable reference for sporadically sequenced ancient genomes). Instead of that, i confined the imputated datsset to the set of SNPs in a control set of populations in Reich's lab (Affymetrix Human Origins Fully Public Dataset, this set was used in the article Lazaridis et al. 2014).

    Of course, no procedure of imputation would proceed without significant errors of ascertainment bias. So before starting my analysis, I performed the quality control of my dataset. This time, for QC test i employed a specific tool Python - PyGenClean. This awesome tool facilitates the standardization of genetic data and quality control of output data from all major genotyping platforms. It minimizes the errors in data manipulation, and accelerates the process of cleaning data from potential genotyping errors, generating informative graphics and automatically evaluating the parameters of the preliminary statistical analysis.

    After screening out SNPs of poor quality, individuals with low genotyping and SNPs with significant deviation from Hardy-Weinberg equilibrium, I screened the remaining samples for the presence of "outliers". Before finding outliers, a plot of principal components looked as follows:

    ethnicity.before.jpg

    With detected outliers (i.e. samples with a standard deviation greater than 5 σ), the plot has been tremendously changed:

    ethnicity.after.jpg

    As i've already mentioned, my initial impetus was to analyze ancient genomes together with the genomes of modern humans, but (as it is seen from the graph below) ancient genomes deviate (to a much greater extent than the modern genomes) from the reference point, haphazardly breaking into clusters:

    ethnicity.before.jpg

    ethnicity.after.jpg

    I have therefore discovered that this workflow of data cleansing is best done in two stages, first - for the modern samples, and second - for the ancient genomes. After finishing both stages, it is relatively easy to merge the resulting "quality" samples into the common control sample.

    Following these steps, i obtained a fairly good dataset of 2250 samples and 155140 SNPs.

    The PCA graph below illustrates the relative positions of the genomes on the worldwide scale.

    208.jpg

    The final "cleaned" dataset laid down the foundations of beta-version of MDLP K13 'Ultimate', which is specially designed for the analysis of "deep" origin of populations. As always, the new model of the calculator is based on the design of DIYDodecad calculator, however this is the first time I am more or less satisfied with the results. Although the model clustering model using Mclust algorithm) gives us a good reason to believe that my dataset of 2,230 genomes is best (ie, without the degeneration of components inevitable for larger K) described by the model of the 8 clusters, I ran ADMIXTURE (in supervised mode) with K=11, i.e., 11 clusters. Then I took .P file of allele frequencies in the inferred 11 "components" and used it to create 11 simulated ancestral populations. After this procedure, i isolated 1) ANE component from North-Eurasian component by interpolating the non-East-Asian part of Native Americans' ancestry, and 2) Caucasian component by deducing "non-steppe" part of Yamnaya's ancestry. Once again, i created "dummy individuals" for both isolated components, merged them with rest of dataset and ran ADMIXTURE K13 in supervised mode


    1. Amerindian - the modal component of the Native American
    2. ANE - the modal component of the Northern Eurasians, which has been isolated from the common cluster with WHG - the highest values ​​in the samples of MA1, AG2, as well as the ancient genomes from Sintashta, Andronov, Afanasievo, Yamnaya, Corded Ware etc. Among the modern populations the highest percentage of ANE has been detected in Kalash population. Almost the same with the ANE component in Lazaridis et al. 2014
    3. Arctic - modal component with peak populations Koryak, Chukchi, Eskimos and Itelmens
    4. ASI - еру modal component of South Indian populations (i assume that this component is identical to ASI in (Reich et al. 2009).
    5. Caucasus-Gedrosia - identical to Pontikos's Caucasus-Gedrosia cluster
    6. EastAsian - the modal component of East Asia
    7. ENF - the component of the ancient European Neolithic farmers with the peak in the ancient samples of LBK culture (Lazaridis et al. 2014, Haak et al. 2015). Among the modern populations - the highest values ​​have been detected in Sardinians, Corsicans and Basques.
    8. NearEast - the modal component of Middle Easterners
    9. Oceanian - the modal component of the aboriginal inhabitants of Oceania, Austronesian, Melanesia and Micronesia(the peak in modern Papuans and Australian Aborigines)
    10. Paleo-African - the modal component of African Pygmies and Bushmen
    11. Siberian - the modal component of southeastern Siberia
    12. Subsaharian - the second African component (Mandinka, Yoruba and Esan)
    13. WHG-UHG - the native component of the ancient European Mesolithic hunter-gatherers (Lazaridis et al. 2014, Haak et al. 2015). Among the modern populations - the highest percentage in the population of Estonians, Lithuanians, Finns and others.

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    Additional information about the K13 model

    The PCA graph showing the results of the PCA conducted on the combined PCA-projected data of simulated 13 ancestral populations

    229.png

    Fst-distances

    Amerindian 0 0.092 0.078 0.109 0.104 0.09 0.118 0.119 0.148 0.157 0.087 0.144 0.121
    ANE 0.092 0 0.083 0.062 0.024 0.071 0.04 0.048 0.108 0.108 0.075 0.092 0.063
    Arctic 0.078 0.083 0 0.096 0.094 0.073 0.108 0.108 0.134 0.144 0.064 0.133 0.111
    ASI 0.109 0.062 0.096 0 0.063 0.076 0.082 0.08 0.108 0.121 0.085 0.108 0.097
    Caucas-Gedrosia 0.104 0.024 0.094 0.063 0 0.081 0.033 0.042 0.115 0.109 0.085 0.094 0.068
    EastAsian 0.09 0.071 0.073 0.076 0.081 0 0.095 0.093 0.111 0.129 0.048 0.115 0.108
    ENF 0.118 0.04 0.108 0.082 0.033 0.095 0 0.054 0.127 0.122 0.098 0.107 0.084
    NearEast 0.119 0.048 0.108 0.08 0.042 0.093 0.054 0 0.126 0.116 0.099 0.101 0.084
    Oceanian 0.148 0.108 0.134 0.108 0.115 0.111 0.127 0.126 0 0.16 0.12 0.147 0.141
    Paleo-African 0.157 0.108 0.144 0.121 0.109 0.129 0.122 0.116 0.16 0 0.135 0.071 0.139
    Siberian 0.087 0.075 0.064 0.085 0.085 0.048 0.098 0.099 0.12 0.135 0 0.122 0.11
    Subsaharian 0.144 0.092 0.133 0.108 0.094 0.115 0.107 0.101 0.147 0.071 0.122 0 0.128
    WHG-UHG 0.121 0.063 0.111 0.097 0.068 0.108 0.084 0.084 0.141 0.139 0.11 0.128 0

    NJ-Tree of Fst distances
    treedistance.png

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    As I expected, the model of K13 calculator appears to be especially good when it is applied to the analysis of ancient genomes. Indeed, in the PCA graph below (1 and 2 principal components - the results of K13 beta) one may observe wonderful things. The position of ancient genomes perfectly fits into the triangle. The first angle represent the genomes of the ancient Pit (Yamnaya) culture (taken from Haak et al. 2015), as well as the genome of the "Russian" Yamnya (Allentoft at al.2015) with the latter being slightly shifted toward the ancient genomes of Mesolithic European hunter-gatherers. Following the direction towards "Neolithic culture", one can observe that these genomes are followed by the genomes of Cord Ware, Unetice culture, etc. The second angle of the triangle is formed by Neolithic genomes: the later Neolithic genomes are shifted closer to the representatives of the Linear Pottery culture, fr. Culture rubanée, it. Linearbandkeramische Kultur, LBK), while the earlier genomes - Stuttgart-LBK, as well as the genomes from the Balkan Neolithic cultures - Starcevo and Vinca - seem to be very close to the paleogenome from Barcin (Çatalhöyük, 7400 BC). Thus genetics once again confirms the archaeological hypothesis that suggests the proximity of the Balkanic and the Anatolian Neolithic cultures.

    Eurasian and American paleogenomes (3).jpg

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    Very nice, I applaud your work Vadim. When do you plan on releasing the calculator files?

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    Quote Originally Posted by ZephyrousMandaru View Post
    Very nice, I applaud your work Vadim. When do you plan on releasing the calculator files?
    There are two reasons why could not release K13 yet (even in beta-version for power users) - one is technical, second -financial.

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    I have to mention the new K13 has a significant difference from previous versions. This time, in order to reduce the influence of minor components on the Oracle's accuracy, I used the median values (instead of the arithmetic mean) of components. To be sure, the use of median values is not the best approach or optimal technique available to us, but rather a cheap trade-off between time-consuming calculations and accuracy.

    Also, instead of the component values sourced in the reference population from ADMXTURE run, i used for all refeence populations the component scores calculated in K13 calculator itself. The idea behind this trick is that it would allow to cmpare idrectly the results of the Oracle's user with those one of reference populations

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    I used the following list of test individuals to evaluate the accuracy of K13 Oracle (modeled after HarappaOracle) and K13 4-Admix utility:

    AfghanPushtun
    Brahmin_Tamil
    Dutch Dutch1
    Dutch Dutch2
    Dutch Dutch3
    English English1
    English English2
    English English3
    Filipino Filipino1
    Filipino Filipino2
    Finn-East
    Finn-West
    Iraki
    Jatt-Haryana
    JattMuslim1
    JattMuslim2
    JattPahari2
    JattPahari
    Kurd
    Kurd
    JattPahari3
    Pakistani_Pushtun
    Punjabi-Gujjar2
    PunjabiGujjar
    Turk1

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    Afghan-Pashtun

    Amerindian 0.64
    ANE 49.87
    Arctic 0.01
    ASI 13.16
    Caucasus-Gedrosia 16.52
    EastAsian 0.02
    ENF 7.22
    NearEast 2.12
    Oceanian 0
    Paleo-African 0.76
    Siberian 1.7
    Subsaharian 2.11
    WHG-UHG 5.88





    Pashtun-Afghan_0_3 5.1425
    Tajik_Ishkashim_0_3 7.745
    Tajik_Shugnan_0_3 8.4865
    Tajik_Rushan_0_3 10.106
    Tajik_Rushanvanch_0_3 10.7546
    Tajik_0_3 11.9167
    Tajik_Yagnobi_0_3 13.3728
    Tajik_tadjik_pl_0_3 13.3775
    Parsi_0_3 13.8156
    Tadjik-Afghan_0_3 14.9391


    9.8% Adygei_0_3 + 90.2% Pashtun-Afghan_0_3 3.8857
    11.9% Azerbaijani_Dagestan_0_3 + 88.1% Pashtun-Afghan_0_3 3.8948
    10.4% Kabardin_0_3 + 89.6% Pashtun-Afghan_0_3 3.9296
    7.6% Georgian_Imereti_0_3 + 92.4% Pashtun-Afghan_0_3 3.9345
    10.2% Cirkassian_0_3 + 89.8% Pashtun-Afghan_0_3 3.9495
    7.6% Abkhasian_0_3 + 92.4% Pashtun-Afghan_0_3 3.9527
    11.8% Lezgin_0_3 + 88.2% Pashtun-Afghan_0_3 3.9594
    12.4% Dargins_Urkarah_0_3 + 87.6% Pashtun-Afghan_0_3 3.9704
    7.6% Abhkasian_0_3 + 92.4% Pashtun-Afghan_0_3 3.9729
    12.3% Lak_0_3 + 87.7% Pashtun-Afghan_0_3 3.9739

    13 components mode.
    Population data has been read. 500 populations found.
    Personal data has been read. 20 approximations mode.
    Person: Test1
    Threshold of components set to 0.43%


    Least-squares method.

    Using 1 population approximation:
    1 Pashtun-Afghan @ 5.627565
    2 Tajik_Ishkashim @ 8.024927
    3 Tajik_Shugnan @ 8.647302
    4 Tajik_Rushan @ 10.056114
    5 Tajik_Rushanvanch @ 11.320276
    6 Tajik @ 12.997126
    7 Tajik_Yagnobi @ 14.434543
    8 Tajik_tadjik_pl @ 14.847603
    9 Parsi @ 15.278489
    10 Tadjik-Afghan @ 16.12786
    11 Mumbai_Jew @ 17.385
    12 Uzbek-Afghan @ 17.839682
    13 Kashmiri @ 20.062455
    14 Pakistani @ 20.793683
    15 Hazara-Afghan @ 20.801779
    16 Makrani @ 23.713294
    17 Tabasaran @ 24.516793
    18 Turkmen @ 24.774034
    19 Brahmins_from_Uttar_Pradesh @ 24.896126
    20 Roma_Macedonian @ 24.910412
    500 iterations.

    Using 2 populations approximation:
    1 Burusho+Tabasaran @ 4.734993
    2 Burusho+Lak @ 4.793426
    3 Azerbaijani_Dagestan+Burusho @ 4.802758
    4 Pashtun-Afghan+Tajik_Shugnan @ 5.013428
    5 Pashtun-Afghan+Tajik_Ishkashim @ 5.105435
    6 Avar+Burusho @ 5.110492
    7 Kumyk_Stalskoe+Pathan @ 5.354907
    8 Pashtun-Afghan+Tajik_Rushan @ 5.360999
    9 Pakistani+Tajik_Yagnobi @ 5.405415
    10 Burusho+Kumyk @ 5.468481
    11 Burusho+Dargins_Urkarah @ 5.536204
    12 Pashtun-Afghan+Tajik_Rushanvanch @ 5.545488
    13 Balochi+Kumyk_Stalskoe @ 5.61472
    14 Pashtun-Afghan+Pashtun-Afghan @ 5.627565
    15 Burusho+Lezgin @ 5.767113
    16 Kashmiri+Tajik_Yagnobi @ 5.832781
    17 Dargins_Urkarah+Meena @ 5.851382
    18 Pakistani+Tabasaran @ 5.88841
    19 Burusho+Kumyk_Stalskoe @ 5.908254
    20 Avar+Pakistani @ 6.049533
    125250 iterations.

    Using 3 populations approximation:
    1 50% Kumyk +25% Kalash +25% Tiwari @ 2.304237
    2 50% Kumyk +25% Gujarati_GIH +25% Kalash @ 2.349793
    3 50% Kumyk +25% Kalash +25% TN_Brahmin @ 2.394882
    4 50% Kumyk +25% Kalash +25% Vaish @ 2.421521
    5 50% Kumyk +25% AP_Brahmin +25% Kalash @ 2.500121
    6 50% Kumyk +25% GujaratiA_GIH +25% Kalash @ 2.543667
    7 50% Kumyk +25% Brahmins_from_Tamil_Nadu +25% Kalash @ 2.563933
    8 50% Kumyk +25% Kalash +25% Meghawal @ 2.564735
    9 50% Kumyk +25% Kalash +25% Kshatriya @ 2.635538
    10 50% Kumyk +25% Pathan +25% Sindhi @ 2.671723
    11 50% Kumyk_Stalskoe +25% Brahui +25% Sindhi @ 2.69169
    12 50% Kumyk +25% GujaratiB_GIH +25% Kalash @ 2.766359
    13 50% Azerbaijani_Dagestan +25% GujaratiA_GIH +25% Kalash @ 2.826049
    14 50% Kumyk +25% Dharkar +25% Kalash @ 2.838603
    15 50% Kumyk +25% Kalash +25% Meena @ 2.843619
    16 50% Kumyk_Stalskoe +25% Brahui +25% Pakistani @ 2.847086
    17 50% Kumyk +25% Kalash +25% Velamas @ 2.873457
    18 50% Kumyk +25% Kalash +25% Srivastava @ 2.902899
    19 50% Kumyk +25% Brahmins_from_Uttar_Pradesh +25% Kalash @ 2.916742
    20 50% Kumyk +25% Kalash +25% Kanjars @ 2.950736
    22472511 iterations.

    Using 4 populations approximation:
    1 Cirkassian+Makrani+Pakistani+Tajik_Rushan @ 1.845201
    2 Kabardin+Makrani+Pakistani+Tajik_Rushanvanch @ 1.852157
    3 Cirkassian+Makrani+Pakistani+Tajik_Rushanvanch @ 1.858925
    4 Kabardin+Makrani+Pakistani+Tajik_Rushan @ 1.928726
    5 Kumyk_Stalskoe+Makrani+Pakistani+Tajik_Yagnobi @ 1.959514
    6 Kumyk+Makrani+Pakistani+Tajik_Rushanvanch @ 1.961703
    7 Cirkassian+Makrani+Pakistani+Tajik_Shugnan @ 1.965384
    8 Kumyk_Stalskoe+Makrani+Pakistani+Tajik_Rushanvanch @ 1.997522
    9 Kabardin+Makrani+Pakistani+Tajik_Shugnan @ 2.04843
    10 Brahmins_from_Uttar_Pradesh+Georgian_Laz+Kalash+Ta jik_Rushanvanch @ 2.067116
    11 Cirkassian+Makrani+Sindhi+Tajik_Yagnobi @ 2.134897
    12 Kabardin+Makrani+Sindhi+Tajik_Yagnobi @ 2.136171
    13 Balochi+Cirkassian+Pakistani+Tajik_Rushanvanch @ 2.163581
    14 Georgian_Laz+Kalash+Tajik_Rushanvanch+Vaish @ 2.201972
    15 Brahmins_from_Uttar_Pradesh+Georgian_Laz+Kalash+Ta jik_Rushan @ 2.225906
    16 Azerbaijani_Dagestan+Kalash+Kumyk_Stalskoe+Vaish @ 2.254117
    17 Balochi+Kabardin+Tajik_Yagnobi+Vaish @ 2.265357
    18 Balochi+Kabardin+Pakistani+Tajik_Rushanvanch @ 2.279753
    19 Georgian_Laz+Kalash+Tajik_Rushan+Vaish @ 2.284867
    20 Kalash+Kumyk+Kumyk+Tiwari @ 2.304237
    21 Balochi+Kumyk_Stalskoe+Pakistani+Tajik_Yagnobi @ 2.314928
    22 Azerbaijani_Dagestan+Makrani+Pakistani+Tajik_Rusha nvanch @ 2.315985
    23 Azerbaijani_Dagestan+GujaratiA_GIH+Kalash+Kumyk @ 2.326093
    24 Avar+Azerbaijani+Kalash+Vaish @ 2.335195
    25 Cirkassian+Pakistani+Pathan+Tajik_Yagnobi @ 2.338227
    26 Kumyk+Makrani+Pakistani+Tajik_Rushan @ 2.340558
    27 Kabardin+Kashmiri+Makrani+Tajik_Rushan @ 2.344935
    28 Azerbaijani_Dagestan+Kashmiri+Makrani+Tajik_Rushan vanch @ 2.348594
    29 Gujarati_GIH+Kalash+Kumyk+Kumyk @ 2.349793
    30 Azerbaijani_Dagestan+Kalash+Kumyk+Vaish @ 2.35869
    31 Georgian_Laz+Kalash+Kshatriya+Tajik_Rushanvanch @ 2.373036
    32 Kabardin+Makrani+Sindhi+Tajik_Rushanvanch @ 2.384086
    33 Kashmiri+Kumyk+Makrani+Tajik_Rushanvanch @ 2.384122
    34 Lak+Makrani+Tajik_Yagnobi+Vaish @ 2.386992
    35 Balkar+Brahui+Tajik_Yagnobi+Vaish @ 2.390658
    36 Kalash+Kumyk+Kumyk+TN_Brahmin @ 2.394882
    37 Kabardin+Kalash+Kumyk+Tiwari @ 2.398511
    38 Cirkassian+Kashmiri+Makrani+Tajik_Rushan @ 2.40318
    39 Dargins_Urkarah+Makrani+Tajik_Yagnobi+Vaish @ 2.40504
    40 Avar+Azerbaijani+Brahmins_from_Uttar_Pradesh+Kalas h @ 2.407971
    79374121 iterations.


    Gaussian method.
    Noise dispersion set to 0.384776

    Using 1 population approximation:
    1 Pashtun-Afghan @ 6.096412
    2 Tajik_Rushan @ 6.68261
    3 Tajik_Shugnan @ 6.843058
    4 Tajik_Rushanvanch @ 7.241198
    5 Tajik_Yagnobi @ 8.016401
    6 Tajik @ 8.402705
    7 Tadjik-Afghan @ 8.533513
    8 Tajik_Ishkashim @ 8.549428
    9 Tajik_tadjik_pl @ 9.130782
    10 Uzbek-Afghan @ 9.611805
    11 Parsi @ 9.872484
    12 Hazara-Afghan @ 10.442727
    13 Roma_Slovenian @ 11.36037
    14 Roma @ 11.526343
    15 Roma_BH @ 11.542847
    16 Pakistani @ 11.604066
    17 Kumyk_Stalskoe @ 11.662783
    18 Turkmen @ 11.921829
    19 Roma_Macedonian @ 11.946177
    20 Roma_Bulgarian @ 12.201152
    500 iterations.

    Using 2 populations approximation:
    1 Kumyk+Sindhi @ 4.426478
    2 Azerbaijani_Dagestan+Sindhi @ 4.482147
    3 Kabardin+Sindhi @ 4.698232
    4 Makrani+Tajik_Rushanvanch @ 4.842299
    5 Azerbaijani_Dagestan+GujaratiA_GIH @ 4.885616
    6 Azerbaijani_Dagestan+Tiwari @ 4.893115
    7 Azerbaijani_Dagestan+Pakistani @ 4.943227
    8 Cirkassian+Sindhi @ 4.957191
    9 Makrani+Tajik_Yagnobi @ 4.970726
    10 Kumyk+Pakistani @ 4.973606
    11 Balochi+Kumyk_Stalskoe @ 5.007701
    12 Balochi+Tajik_Yagnobi @ 5.104192
    13 Pakistani+Tajik_Yagnobi @ 5.186376
    14 Makrani+Tajik_Rushan @ 5.202611
    15 Balochi+Tajik_Rushanvanch @ 5.220378
    16 Kumyk_Stalskoe+Makrani @ 5.224037
    17 Brahui+Kumyk_Stalskoe @ 5.281702
    18 Balochi+Kumyk @ 5.295473
    19 Kabardin+Pakistani @ 5.317052
    20 Kumyk_Stalskoe+Sindhi @ 5.354859
    125250 iterations.

    Using 3 populations approximation:
    1 50% Kumyk +25% Makrani +25% Sindhi @ 3.309225
    2 50% Kumyk +25% Makrani +25% Tiwari @ 3.376405
    3 50% Adygei +25% Makrani +25% Tiwari @ 3.378624
    4 50% Azerbaijani_Dagestan +25% Brahui +25% GujaratiA_GIH @ 3.630783
    5 50% Adygei +25% GujaratiA_GIH +25% Makrani @ 3.663196
    6 50% Azerbaijani_Dagestan +25% GujaratiA_GIH +25% Kalash @ 3.716913
    7 50% Kumyk +25% GujaratiA_GIH +25% Makrani @ 3.75019
    8 50% Azerbaijani_Dagestan +25% Brahui +25% Tiwari @ 3.756463
    9 50% Azerbaijani_Dagestan +25% Kalash +25% Tiwari @ 3.815488
    10 50% Adygei +25% Makrani +25% Sindhi @ 3.828365
    11 50% Azerbaijani_Dagestan +25% Balochi +25% GujaratiA_GIH @ 3.884725
    12 50% Makrani +25% Avar +25% Tajik_Rushanvanch @ 3.890783
    13 50% Makrani +25% Georgian +25% Pakistani @ 3.896235
    14 50% Azerbaijani_Dagestan +25% GujaratiA_GIH +25% Makrani @ 3.90387
    15 50% Tajik_Rushan +25% Iranian +25% Sindhi @ 3.904518
    16 50% Kumyk +25% Brahui +25% Sindhi @ 3.91312
    17 50% Kumyk +25% Balochi +25% Sindhi @ 3.919967
    18 50% Pakistani +25% Georgian +25% Makrani @ 3.924442
    19 50% Kabardin +25% Makrani +25% Tiwari @ 3.928828
    20 50% Makrani +25% Georgian +25% Sindhi @ 3.934322
    58422786 iterations.

    Using 4 populations approximation:
    1 Avar+Kumyk+Makrani+Sindhi @ 2.389694
    2 Adygei+Makrani+Sindhi+Tajik_Rushanvanch @ 2.466525
    3 Adygei+Makrani+Tajik_Rushanvanch+Tiwari @ 2.480976
    4 Avar+Makrani+Sindhi+Tajik_Rushanvanch @ 2.495011
    5 Lezgin+Makrani+Sindhi+Tajik_Rushanvanch @ 2.566769
    6 Avar+Kumyk+Makrani+Tiwari @ 2.603963
    7 Adygei+Georgian+Makrani+Sindhi @ 2.624884
    8 Georgian+Lezgin+Makrani+Sindhi @ 2.625456
    9 Chechen+Makrani+Sindhi+Tajik_Rushanvanch @ 2.651979
    10 Avar+Kabardin+Makrani+Sindhi @ 2.671031
    11 Avar+Georgian+Makrani+Sindhi @ 2.671316
    12 Kumyk+Lezgin+Makrani+Tiwari @ 2.731318
    13 Kumyk+Lezgin+Makrani+Sindhi @ 2.736236
    14 Adygei+Makrani+Sindhi+Tajik_Rushan @ 2.739799
    15 Adygei+Makrani+Tajik_Rushan+Tiwari @ 2.744975
    16 Lezgin+Makrani+Tajik_Rushanvanch+Tiwari @ 2.772931
    17 Avar+Cirkassian+Makrani+Sindhi @ 2.77305
    18 Avar+Kabardin+Makrani+Tiwari @ 2.783143
    19 Kabardin+Lezgin+Makrani+Tiwari @ 2.818103
    20 Adygei+Georgian+Makrani+Tiwari @ 2.821224
    21 Adygei+Avar+Makrani+Tiwari @ 2.834068
    22 Chechen+Makrani+Tajik_Rushanvanch+Tiwari @ 2.862368
    23 Kumyk+Makrani+Sindhi+Tabasaran @ 2.863597
    24 Georgian_Imereti+Makrani+Tajik_Rushanvanch+Tiwari @ 2.870346
    25 Adygei+Avar+Makrani+Sindhi @ 2.883079
    26 Lak+Makrani+Sindhi+Tajik_Rushanvanch @ 2.883096
    27 Avar+Makrani+Tajik_Rushanvanch+Tiwari @ 2.885289
    28 Abhkasian+Makrani+Tajik_Rushanvanch+Tiwari @ 2.899847
    29 Abkhasian+Makrani+Tajik_Rushanvanch+Tiwari @ 2.903234
    30 Adygei+GujaratiA_GIH+Makrani+Tajik_Rushanvanch @ 2.916951
    31 Kumyk+Lak+Makrani+Sindhi @ 2.918588
    32 Avar+Makrani+Sindhi+Tajik_Rushan @ 2.931851
    33 Kabardin+Makrani+Sindhi+Tabasaran @ 2.93739
    34 Dargins_Urkarah+Kumyk+Makrani+Sindhi @ 2.939222
    35 Chechen+Makrani+Sindhi+Tajik_Rushan @ 2.942525
    36 Abkhasian+Makrani+Sindhi+Tajik_Rushanvanch @ 2.94492
    37 Adygei+Kumyk+Makrani+Tiwari @ 2.94562
    38 Kabardin+Makrani+Tabasaran+Tiwari @ 2.947773
    39 Kabardin+Lezgin+Makrani+Sindhi @ 2.948331
    40 Georgian+Lezgin+Makrani+Tiwari @ 2.958593
    1626319238 iterations.
    Last edited by Vadim Verenich; 08-03-2015 at 10:07 AM.

  16. The Following 8 Users Say Thank You to Vadim Verenich For This Useful Post:

     Coldmountains (08-03-2015),  Gray Fox (08-03-2015),  khanabadoshi (08-05-2015),  NK19191 (08-03-2015),  Rukha (08-03-2015),  Sapporo (08-03-2015),  Táltos (08-24-2015),  ZephyrousMandaru (08-03-2015)

  17. #9
    Registered Users
    Posts
    711
    Sex
    Location
    Estonia
    Ethnicity
    Belarusian
    Y-DNA (P)
    I2-A1328
    mtDNA (M)
    J1c

    Brahmin_Tamil

    Amerindian 0.23
    ANE 54.78
    Arctic 0.01
    ASI 32.32
    Caucasus-Gedrosia 0.01
    EastAsian 4.82
    ENF 1.03
    NearEast 0.03
    Oceanian 0.93
    Paleo-African 0.09
    Siberian 1.32
    Subsaharian 1.84
    WHG-UHG 2.6


    [,1] [,2]
    [1,] "Kshatriya_0_3" "1.6522"
    [2,] "Meena_0_3" "2.7076"
    [3,] "Brahmins_from_Tamil_Nadu_0_3" "3.5017"
    [4,] "Vaish_0_3" "3.7"
    [5,] "Brahmins_from_Uttar_Pradesh_0_3" "4.6839"
    [6,] "Meghawal_0_3" "5.3623"
    [7,] "TN_Brahmin_0_3" "5.8968"
    [8,] "Dharkar_0_3" "6.2269"
    [9,] "Sindhi_0_3" "6.4877"
    [10,] "Muslim_0_3" "6.5451"

    [1,] "84.9% Kshatriya_0_3 + 15.1% Sindhi_0_3" "1.2049"
    [2,] "70.3% Kshatriya_0_3 + 29.7% Meena_0_3" "1.3165"
    [3,] "2.5% Kalash_0_3 + 97.5% Kshatriya_0_3" "1.4592"
    [4,] "2.5% Brahui_0_3 + 97.5% Kshatriya_0_3" "1.4881"
    [5,] "97.1% Kshatriya_0_3 + 2.9% Pathan_0_3" "1.5103"
    [6,] "2.4% Balochi_0_3 + 97.6% Kshatriya_0_3" "1.5402"
    [7,] "93.4% Kshatriya_0_3 + 6.6% Tiwari_0_3" "1.5613"
    [8,] "95.1% Kshatriya_0_3 + 4.9% Pakistani_0_3" "1.5842"
    [9,] "92.5% Kshatriya_0_3 + 7.5% TN_Brahmin_0_3" "1.5868"
    [10,] "3% Burusho_0_3 + 97% Kshatriya_0_3" "1.6012"

    13 components mode.
    Population data has been read. 500 populations found.
    Personal data has been read. 20 approximations mode.
    Person: Test2.txt
    Threshold of components set to 0.43%


    Least-squares method.

    Using 1 population approximation:
    1 Kshatriya @ 1.763856
    2 Meena @ 3.005534
    3 Brahmins_from_Tamil_Nadu @ 3.22575
    4 Vaish @ 3.570317
    5 Brahmins_from_Uttar_Pradesh @ 3.79686
    6 Meghawal @ 5.506431
    7 Dharkar @ 6.569114
    8 TN_Brahmin @ 6.895546
    9 Muslim @ 6.991766
    10 Cochin_Jew @ 7.101305
    11 Gujarati_GIH @ 7.413754
    12 Kurmi @ 7.64955
    13 Lambadi @ 7.779166
    14 AP_Brahmin @ 7.790431
    15 Velamas @ 7.996378
    16 Kanjars @ 8.114633
    17 Srivastava @ 8.259038
    18 Tharus @ 8.336824
    19 GujaratiA_GIH @ 8.410147
    20 Kashmiri @ 8.64503
    500 iterations.

    Using 2 populations approximation:
    1 Kshatriya+Meena @ 1.661203
    2 Kshatriya+Kshatriya @ 1.763856
    3 Brahmins_from_Tamil_Nadu+Brahmins_from_Uttar_Prade sh @ 1.849268
    4 Meena+Vaish @ 1.927507
    5 Brahmins_from_Tamil_Nadu+Kshatriya @ 1.95013
    6 Brahmins_from_Tamil_Nadu+Meena @ 2.132694
    7 Brahmins_from_Uttar_Pradesh+Meena @ 2.275115
    8 Kshatriya+Vaish @ 2.344997
    9 Brahmins_from_Uttar_Pradesh+Kshatriya @ 2.392962
    10 Brahmins_from_Tamil_Nadu+Vaish @ 2.688675
    11 Brahmins_from_Uttar_Pradesh+TN_Brahmin @ 2.787687
    12 Meena+Meghawal @ 2.874091
    13 Dharkar+Meena @ 2.925219
    14 Meena+Meena @ 3.005534
    15 Brahmins_from_Uttar_Pradesh+Meghawal @ 3.041749
    16 Kshatriya+Meghawal @ 3.184761
    17 Brahmins_from_Tamil_Nadu+Brahmins_from_Tamil_Nadu @ 3.22575
    18 Meena+Muslim @ 3.235365
    19 Brahmins_from_Uttar_Pradesh+Vaish @ 3.240538
    20 Meena+Srivastava @ 3.310863
    125250 iterations.

    Using 3 populations approximation:
    1 50% Kshatriya +25% Brahmins_from_Tamil_Nadu +25% Meena @ 1.410163
    2 50% Kshatriya +25% Kshatriya +25% Meena @ 1.451633
    3 50% Meena +25% Brahmins_from_Uttar_Pradesh +25% Srivastava @ 1.478989
    4 50% Kshatriya +25% Meena +25% Vaish @ 1.528259
    5 50% Brahmins_from_Tamil_Nadu +25% Brahmins_from_Uttar_Pradesh +25% Meena @ 1.531977
    6 50% Brahmins_from_Uttar_Pradesh +25% Lambadi +25% Sindhi @ 1.536938
    7 50% Meena +25% Brahmins_from_Uttar_Pradesh +25% Gujarati_GIH @ 1.57086
    8 50% Meena +25% AP_Brahmin +25% Brahmins_from_Uttar_Pradesh @ 1.581439
    9 50% Kshatriya +25% Brahmins_from_Tamil_Nadu +25% Brahmins_from_Uttar_Pradesh @ 1.586469
    10 50% Meena +25% Brahmins_from_Uttar_Pradesh +25% Dharkar @ 1.598479
    11 50% Kshatriya +25% Brahmins_from_Uttar_Pradesh +25% Meena @ 1.614248
    12 50% Meena +25% Brahmins_from_Tamil_Nadu +25% Brahmins_from_Uttar_Pradesh @ 1.616946
    13 50% Meena +25% Kshatriya +25% Vaish @ 1.621696
    14 50% Brahmins_from_Uttar_Pradesh +25% Meena +25% TN_Brahmin @ 1.624157
    15 50% Brahmins_from_Uttar_Pradesh +25% AP_Brahmin +25% Meena @ 1.624969
    16 50% Kshatriya +25% Brahmins_from_Uttar_Pradesh +25% TN_Brahmin @ 1.629176
    17 50% Kshatriya +25% Brahmins_from_Tamil_Nadu +25% Kshatriya @ 1.648716
    18 50% Kshatriya +25% Meena +25% Meena @ 1.661203
    19 50% Meena +25% Cochin_Jew +25% GujaratiA_GIH @ 1.667972
    20 50% Brahmins_from_Tamil_Nadu +25% Brahmins_from_Uttar_Pradesh +25% Kshatriya @ 1.688801
    10474496 iterations.

    Using 4 populations approximation:
    1 Burusho+Cochin_Jew+Gujarati_GIH+GujaratiA_GIH @ 1.190965
    2 Burusho+Cochin_Jew+GujaratiA_GIH+Srivastava @ 1.215594
    3 Burusho+Cochin_Jew+GujaratiB_GIH+Kshatriya @ 1.231529
    4 Burusho+Cochin_Jew+GujaratiA_GIH+Velamas @ 1.254107
    5 Burusho+Cochin_Jew+Srivastava+Tiwari @ 1.282423
    6 Brahmins_from_Tamil_Nadu+Brahmins_from_Uttar_Prade sh+Kshatriya+Meena @ 1.31816
    7 AP_Brahmin+Burusho+Cochin_Jew+GujaratiA_GIH @ 1.370501
    8 Brahmins_from_Tamil_Nadu+Burusho+GujaratiA_GIH+Sri vastava @ 1.378113
    9 Burusho+Cochin_Jew+GujaratiA_GIH+Kanjars @ 1.390786
    10 Brahmins_from_Tamil_Nadu+Kshatriya+Kshatriya+Meena @ 1.410163
    11 Kshatriya+Kshatriya+Kshatriya+Meena @ 1.451633
    12 Brahmins_from_Uttar_Pradesh+Kshatriya+Meena+TN_Bra hmin @ 1.458949
    13 Burusho+Cochin_Jew+Dharkar+GujaratiA_GIH @ 1.478328
    14 Brahmins_from_Uttar_Pradesh+Meena+Meena+Srivastava @ 1.478989
    15 Brahmins_from_Tamil_Nadu+Burusho+GujaratiA_GIH+Sch eduled_Caste_Tamil_Nadu @ 1.497117
    16 Brahmins_from_Tamil_Nadu+Burusho+GujaratiA_GIH+Tam il_Nadu_Scheduled_Caste @ 1.498338
    17 Chenchu+GujaratiA_GIH+Pathan+Srivastava @ 1.507707
    18 Burusho+Cochin_Jew+Kanjars+Tiwari @ 1.508617
    19 Brahmins_from_Tamil_Nadu+Burusho+GujaratiA_GIH+Sch eduled_Caste_UP @ 1.519884
    20 Brahmins_from_Tamil_Nadu+Burusho+GujaratiA_GIH+Utt ar_Pradesh_Scheduled_Caste @ 1.519923
    21 Kshatriya+Kshatriya+Meena+Vaish @ 1.528259
    22 Brahmins_from_Tamil_Nadu+Brahmins_from_Tamil_Nadu+ Brahmins_from_Uttar_Pradesh+Meena @ 1.531977
    23 Burusho+Cochin_Jew+GujaratiA_GIH+Uttar_Pradesh_Sch eduled_Caste @ 1.534929
    24 Burusho+GujaratiA_GIH+Scheduled_Caste_Tamil_Nadu+V aish @ 1.535829
    25 Brahmins_from_Tamil_Nadu+Burusho+GujaratiB_GIH+Vai sh @ 1.536442
    26 Brahmins_from_Uttar_Pradesh+Brahmins_from_Uttar_Pr adesh+Lambadi+Sindhi @ 1.536938
    27 Burusho+GujaratiA_GIH+Tamil_Nadu_Scheduled_Caste+V aish @ 1.538101
    28 Burusho+Cochin_Jew+Tharus+Tiwari @ 1.539252
    29 Burusho+Cochin_Jew+GujaratiA_GIH+Scheduled_Caste_U P @ 1.541159
    30 Burusho+GujaratiA_GIH+Uttar_Pradesh_Scheduled_Cast e+Vaish @ 1.546308
    31 Burusho+GujaratiA_GIH+Scheduled_Caste_UP+Vaish @ 1.548154
    32 Brahmins_from_Uttar_Pradesh+Burusho+GujaratiB_GIH+ Lambadi @ 1.553059
    33 Burusho+Cochin_Jew+GujaratiA_GIH+Kurmi @ 1.555189
    34 Burusho+Cochin_Jew+Tiwari+Velamas @ 1.556518
    35 Brahmins_from_Tamil_Nadu+Brahmins_from_Uttar_Prade sh+Burusho+GujaratiB_GIH @ 1.557268
    36 Brahmins_from_Uttar_Pradesh+Burusho+Scheduled_Cast e_UP+Tiwari @ 1.565189
    37 Burusho+GujaratiA_GIH+Lambadi+Vaish @ 1.566832
    38 Brahmins_from_Uttar_Pradesh+Burusho+Tiwari+Uttar_P radesh_Scheduled_Caste @ 1.568196
    39 Brahmins_from_Uttar_Pradesh+Gujarati_GIH+Meena+Mee na @ 1.57086
    40 Brahmins_from_Uttar_Pradesh+Burusho+Cochin_Jew+Guj aratiB_GIH @ 1.570935
    120540696 iterations.


    Gaussian method.
    Noise dispersion set to 0.384776

    Using 1 population approximation:
    1 Srivastava @ 3.226148
    2 Kshatriya @ 3.31705
    3 Meena @ 3.407031
    4 Brahmins_from_Uttar_Pradesh @ 4.542528
    5 Vaish @ 4.54553
    6 Brahmins_from_Tamil_Nadu @ 5.007594
    7 Kanjars @ 5.600831
    8 Kashmiri @ 5.705187
    9 Tharus @ 5.871029
    10 Dharkar @ 6.41753
    11 GujaratiB_GIH @ 6.488495
    12 Nepalese @ 6.707287
    13 AP_Brahmin @ 6.888817
    14 Pakistani @ 6.936912
    15 TN_Brahmin @ 7.094206
    16 Burusho @ 7.105378
    17 Gujarati_GIH @ 7.481531
    18 Meghawal @ 7.846799
    19 Lambadi @ 7.916171
    20 Naidu @ 7.938322
    500 iterations.

    Using 2 populations approximation:
    1 Brahmins_from_Tamil_Nadu+Tiwari @ 2.70396
    2 Kshatriya+Srivastava @ 2.718683
    3 Srivastava+Tiwari @ 2.719341
    4 GujaratiA_GIH+Lambadi @ 2.775389
    5 Kshatriya+TN_Brahmin @ 2.823148
    6 AP_Brahmin+Kshatriya @ 2.923131
    7 Naidu+Tiwari @ 2.955164
    8 Brahmins_from_Tamil_Nadu+GujaratiB_GIH @ 2.969955
    9 Brahmins_from_Tamil_Nadu+GujaratiA_GIH @ 2.997688
    10 GujaratiB_GIH+Meena @ 3.05023
    11 Meena+Srivastava @ 3.050892
    12 Kshatriya+Meena @ 3.055449
    13 Kshatriya+Lambadi @ 3.075725
    14 GujaratiA_GIH+Srivastava @ 3.14436
    15 Gujarati_GIH+Kshatriya @ 3.14646
    16 GujaratiB_GIH+Srivastava @ 3.153291
    17 Brahmins_from_Tamil_Nadu+Kshatriya @ 3.158195
    18 GujaratiB_GIH+Lambadi @ 3.17643
    19 AP_Brahmin+Meena @ 3.184357
    20 Dharkar+Tiwari @ 3.185941
    125250 iterations.

    Using 3 populations approximation:
    1 50% Srivastava +25% GujaratiB_GIH +25% Kalash @ 2.007258
    2 50% Srivastava +25% Kalash +25% Srivastava @ 2.076584
    3 50% Srivastava +25% GujaratiC_GIH +25% Kalash @ 2.201018
    4 50% Srivastava +25% AP_Brahmin +25% Kalash @ 2.224771
    5 50% AP_Brahmin +25% GujaratiA_GIH +25% Lambadi @ 2.26806
    6 50% Naidu +25% GujaratiA_GIH +25% Kalash @ 2.277933
    7 50% Srivastava +25% Kalash +25% Tiwari @ 2.281172
    8 50% Naidu +25% Kalash +25% Tiwari @ 2.2917
    9 50% AP_Brahmin +25% Brahmins_from_Tamil_Nadu +25% GujaratiA_GIH @ 2.293287
    10 50% Srivastava +25% Gujarati_GIH +25% Kalash @ 2.294564
    11 50% Srivastava +25% Kalash +25% Kshatriya @ 2.296813
    12 50% Kshatriya +25% Lambadi +25% Tiwari @ 2.300535
    13 50% Naidu +25% GujaratiB_GIH +25% Kalash @ 2.315958
    14 50% Tiwari +25% Burusho +25% Lambadi @ 2.326624
    15 50% Tiwari +25% Kshatriya +25% Lambadi @ 2.329628
    16 50% Srivastava +25% Kalash +25% Naidu @ 2.339084
    17 50% Tiwari +25% Brahmins_from_Tamil_Nadu +25% Lambadi @ 2.340323
    18 50% Srivastava +25% Kshatriya +25% Tiwari @ 2.35055
    19 50% Srivastava +25% Kalash +25% Punjabi_Lahore_PJL @ 2.369407
    20 50% Kshatriya +25% Srivastava +25% Tiwari @ 2.372293
    26305855 iterations.

    Using 4 populations approximation:
    1 GujaratiB_GIH+Kalash+Naidu+Srivastava @ 1.979271
    2 GujaratiB_GIH+Kalash+Srivastava+Srivastava @ 2.007258
    3 Kalash+Srivastava+Srivastava+Srivastava @ 2.076584
    4 AP_Brahmin+Kshatriya+Lambadi+Tiwari @ 2.12175
    5 Kalash+Naidu+Srivastava+Tiwari @ 2.122354
    6 GujaratiB_GIH+Kalash+Lambadi+Srivastava @ 2.133861
    7 GujaratiD_GIH+Kalash+Kshatriya+Srivastava @ 2.182168
    8 AP_Brahmin+Kshatriya+Srivastava+Tiwari @ 2.184593
    9 GujaratiC_GIH+Kalash+Srivastava+Srivastava @ 2.201018
    10 AP_Brahmin+Brahmins_from_Tamil_Nadu+Kshatriya+Tiwa ri @ 2.205796
    11 AP_Brahmin+Kalash+Srivastava+Srivastava @ 2.224771
    12 GujaratiB_GIH+Kalash+Piramalai_Kallars+Srivastava @ 2.235899
    13 GujaratiB_GIH+Kalash+Srivastava+TN_Dalit @ 2.241881
    14 GujaratiA_GIH+Kalash+Lambadi+Naidu @ 2.246224
    15 GujaratiC_GIH+Kalash+Kshatriya+Srivastava @ 2.249253
    16 Kalash+Srivastava+Tiwari+TN_Dalit @ 2.249273
    17 GujaratiB_GIH+Kalash+Srivastava+Uttar_Pradesh_Sche duled_Caste @ 2.250837
    18 GujaratiB_GIH+Kalash+Scheduled_Caste_UP+Srivastava @ 2.250986
    19 Gujarati_GIH+GujaratiB_GIH+Kalash+Srivastava @ 2.254725
    20 GujaratiB_GIH+Kalash+Lambadi+Naidu @ 2.257835
    21 AP_Brahmin+AP_Brahmin+GujaratiA_GIH+Lambadi @ 2.26806
    22 GujaratiA_GIH+Kalash+Naidu+Srivastava @ 2.270828
    23 GujaratiA_GIH+Kalash+Naidu+Naidu @ 2.277933
    24 GujaratiA_GIH+Kalash+Lambadi+TN_Dalit @ 2.279707
    25 GujaratiB_GIH+Kalash+Kol+Srivastava @ 2.279918
    26 Kalash+Srivastava+Srivastava+Tiwari @ 2.281172
    27 Gujarati_GIH+Kshatriya+Srivastava+Tiwari @ 2.283292
    28 AP_Brahmin+GujaratiA_GIH+Kshatriya+Lambadi @ 2.284472
    29 GujaratiB_GIH+Kalash+Srivastava+Tharus @ 2.289355
    30 Kalash+Naidu+Naidu+Tiwari @ 2.2917
    31 Bengali_Bangladesh_BEB+Kalash+Lambadi+Tiwari @ 2.292086
    32 AP_Brahmin+AP_Brahmin+Brahmins_from_Tamil_Nadu+Guj aratiA_GIH @ 2.293287
    33 Gujarati_GIH+Kalash+Srivastava+Srivastava @ 2.294564
    34 Kalash+Kshatriya+Srivastava+Srivastava @ 2.296813
    35 Hakkipikki+Kalash+Srivastava+Tiwari @ 2.300427
    36 Kshatriya+Kshatriya+Lambadi+Tiwari @ 2.300535
    37 Kshatriya+Lambadi+Srivastava+Tiwari @ 2.302338
    38 Gujarati_GIH+Kshatriya+Lambadi+Tiwari @ 2.307028
    39 Brahmins_from_Uttar_Pradesh+GujaratiD_GIH+Kalash+L ambadi @ 2.313441
    40 GujaratiB_GIH+Kalash+Naidu+Naidu @ 2.315958
    572971496 iterations.
    Last edited by Vadim Verenich; 08-03-2015 at 11:50 AM.

  18. The Following 8 Users Say Thank You to Vadim Verenich For This Useful Post:

     Agamemnon (08-06-2015),  Coldmountains (08-03-2015),  Gray Fox (08-03-2015),  khanabadoshi (08-05-2015),  NK19191 (08-03-2015),  Sapporo (08-03-2015),  Táltos (08-24-2015),  ZephyrousMandaru (08-03-2015)

  19. #10
    Registered Users
    Posts
    711
    Sex
    Location
    Estonia
    Ethnicity
    Belarusian
    Y-DNA (P)
    I2-A1328
    mtDNA (M)
    J1c

    The next sample belongs to geographically completely different region (please also note the proximity to Mizrahi-Jews and Assyrians)

    Iraqi-Mandean


    Amerindian 0
    ANE 25.18
    Arctic 0
    ASI 3.5
    Caucas-Gedrosia 35.01
    EastAsian 0
    ENF 15.83
    NearEast 18
    Oceanian 0
    Paleo-African 0.71
    Siberian 0
    Subsaharian 1.75
    WHG-UHG 0.01



    [1,] "Azerbaijani_Jew_0_3" "4.7388"
    [2,] "Uzbekistani_Jew_0_3" "4.7485"
    [3,] "Kurdish_Jew_0_3" "5.2961"
    [4,] "Iranian_Jew_0_3" "5.4655"
    [5,] "Jew_Tat_0_3" "5.9952"
    [6,] "Georgian_Jews_0_3" "7.6631"
    [7,] "Georgian_Jew_0_3" "7.8397"
    [8,] "Assyrian_WGA_0_3" "8.7345"
    [9,] "Azerbaijani_0_3" "8.9902"
    [10,] "Turk_Adana_0_3" "9.3998"


    [1,] "91.9% Kurdish_Jew_0_3 + 8.1% Pathan_0_3" "1.8019"
    [2,] "8% Brahui_0_3 + 92% Kurdish_Jew_0_3" "1.886"
    [3,] "56% Iranian_0_3 + 44% Samaritian_0_3" "1.9224"
    [4,] "90.5% Kurdish_Jew_0_3 + 9.5% Makrani_0_3" "1.9252"
    [5,] "8.5% Burusho_0_3 + 91.5% Kurdish_Jew_0_3" "1.9279"
    [6,] "7.2% Kalash_0_3 + 92.8% Kurdish_Jew_0_3" "1.9339"
    [7,] "8.8% Balochi_0_3 + 91.2% Kurdish_Jew_0_3" "1.9521"
    [8,] "88% Kurdish_Jew_0_3 + 12% Pashtun-Afghan_0_3" "2.0592"
    [9,] "81.6% Kurdish_Jew_0_3 + 18.4% Parsi_0_3" "2.0759"
    [10,] "91.7% Kurdish_Jew_0_3 + 8.3% Meena_0_3" "2.1062"

    13 components mode.
    Population data has been read. 500 populations found.
    Personal data has been read. 20 approximations mode.
    Person: Test3.txt
    Threshold of components set to 0.43%


    Least-squares method.

    Using 1 population approximation:
    1 Uzbekistani_Jew @ 5.083047
    2 Azerbaijani_Jew @ 5.191446
    3 Iranian_Jew @ 6.200284
    4 Kurdish_Jew @ 6.311503
    5 Jew_Tat @ 6.876701
    6 Georgian_Jews @ 8.757468
    7 Georgian_Jew @ 9.407471
    8 Azerbaijani @ 9.514532
    9 Assyrian_WGA @ 10.151256
    10 Turk_Adana @ 10.320408
    11 Kurd @ 10.598274
    12 Baku_WGA @ 10.741755
    13 Syrian @ 11.786753
    14 Turk_Kayseri @ 12.09827
    15 Iraqi_Jew @ 12.45396
    16 Syrian_Jew @ 13.916347
    17 Iranian @ 14.204678
    18 Uzbek_WGA @ 14.616037
    19 Turk @ 14.921325
    20 Lebanese @ 15.287313
    500 iterations.

    Using 2 populations approximation:
    1 Iranian+Lebanese @ 2.315261
    2 Iranian+Palestinian @ 2.392894
    3 Iranian+Samaritian @ 2.572646
    4 Baku_WGA+Syrian @ 2.590391
    5 Kurd+Syrian @ 2.71486
    6 Kurdish_Jew+Uzbekistani_Jew @ 3.599275
    7 Iranian+Jordanian @ 3.665949
    8 Kurd+Palestinian @ 3.742715
    9 Iranian+Syrian @ 3.96742
    10 Jordanian+Kurd @ 4.039447
    11 Azerbaijani_Jew+Uzbekistani_Jew @ 4.063212
    12 Azerbaijani+Syrian @ 4.070329
    13 Kurd+Lebanese @ 4.123098
    14 Azerbaijani+Kurdish_Jew @ 4.156129
    15 Iranian_Jew+Uzbekistani_Jew @ 4.185769
    16 Syrian+Uzbekistani_Jew @ 4.251358
    17 Baku_WGA+Palestinian @ 4.307678
    18 Iranian+Syrian_Jew @ 4.310025
    19 Kurd+Kurdish_Jew @ 4.434975
    20 Baku_WGA+Jordanian @ 4.50285
    125250 iterations.

    Using 3 populations approximation:
    1 50% Druze +25% Makrani +25% Samaritian @ 1.553264
    2 50% Druze +25% Lebanese +25% Makrani @ 1.685098
    3 50% Iranian_Jew +25% Parsi +25% Samaritian @ 1.733064
    4 50% Druze +25% Makrani +25% Palestinian @ 1.811146
    5 50% Iranian_Jew +25% Palestinian +25% Parsi @ 1.8413
    6 50% Azerbaijani_Jew +25% Palestinian +25% Parsi @ 1.864061
    7 50% Kurdish_Jew +25% Lebanese +25% Parsi @ 1.870812
    8 50% Iranian +25% Samaritian +25% Syrian @ 1.926981
    9 50% Kurdish_Jew +25% Parsi +25% Samaritian @ 1.938812
    10 50% Iranian_Jew +25% Lebanese +25% Parsi @ 1.996894
    11 50% Druze +25% Balochi +25% Samaritian @ 2.072939
    12 50% Iranian +25% Lebanese +25% Palestinian @ 2.08545
    13 50% Kurdish_Jew +25% Palestinian +25% Parsi @ 2.102581
    14 50% Iranian +25% Palestinian +25% Samaritian @ 2.106242
    15 50% Georgian_Jew +25% BedouinA +25% Parsi @ 2.144722
    16 50% Kurdish_Jew +25% Parsi +25% Syrian_Jew @ 2.148273
    17 50% Druze +25% Balochi +25% Palestinian @ 2.161626
    18 50% Georgian_Jews +25% Palestinian +25% Parsi @ 2.16767
    19 50% Azerbaijani_Jew +25% Iranian +25% Syrian @ 2.258365
    20 50% Druze +25% Balochi +25% Lebanese @ 2.26586
    10328947 iterations.

    Using 4 populations approximation:
    1 Druze+Druze+Makrani+Samaritian @ 1.553264
    2 Georgian_Jew+Kurdish_Jew+Palestinian+Parsi @ 1.633743
    3 Georgian_Jews+Kurdish_Jew+Palestinian+Parsi @ 1.661066
    4 Druze+Druze+Lebanese+Makrani @ 1.685098
    5 Azerbaijani_Jew+Iranian_Jew+Palestinian+Parsi @ 1.69073
    6 Azerbaijani_Jew+Kurdish_Jew+Palestinian+Parsi @ 1.695706
    7 Iranian_Jew+Iranian_Jew+Parsi+Samaritian @ 1.733064
    8 Assyrian_WGA+Azerbaijani_Jew+Palestinian+Parsi @ 1.743119
    9 Iranian_Jew+Kurdish_Jew+Parsi+Samaritian @ 1.745195
    10 Azerbaijani_Jew+Georgian_Jews+Palestinian+Parsi @ 1.753147
    11 Azerbaijani_Jew+Iraqi_Jew+Parsi+Syrian @ 1.782237
    12 Georgian_Jews+Iranian_Jew+Palestinian+Parsi @ 1.789854
    13 Azerbaijani_Jew+Georgian_Jew+Palestinian+Parsi @ 1.799488
    14 Druze+Druze+Makrani+Palestinian @ 1.811146
    15 Georgian_Jew+Iranian_Jew+Palestinian+Parsi @ 1.821487
    16 Azerbaijani_Jew+Kurdish_Jew+Lebanese+Parsi @ 1.826391
    17 Iranian_Jew+Iranian_Jew+Palestinian+Parsi @ 1.8413
    18 Azerbaijani_Jew+Baku_WGA+BedouinA+Iranian @ 1.842239
    19 Azerbaijani_Jew+Kurdish_Jew+Parsi+Samaritian @ 1.843422
    20 Iranian_Jew+Kurdish_Jew+Lebanese+Parsi @ 1.846135
    21 Azerbaijani_Jew+Azerbaijani_Jew+Palestinian+Parsi @ 1.864061
    22 Assyrian_WGA+Kurdish_Jew+Palestinian+Parsi @ 1.869834
    23 Kurdish_Jew+Kurdish_Jew+Lebanese+Parsi @ 1.870812
    24 Azerbaijani_Jew+Iranian_Jew+Parsi+Samaritian @ 1.875857
    25 Iranian_Jew+Kurdish_Jew+Palestinian+Parsi @ 1.889463
    26 Assyrian_WGA+Iranian_Jew+Palestinian+Parsi @ 1.923363
    27 Iranian+Iranian+Samaritian+Syrian @ 1.926981
    28 Kurdish_Jew+Kurdish_Jew+Parsi+Samaritian @ 1.938812
    29 BedouinA+Iranian+Jew_Tat+Kurd @ 1.93976
    30 Baku_WGA+BedouinA+Iranian+Jew_Tat @ 1.969116
    31 Georgian_Jew+Jordanian+Kurdish_Jew+Parsi @ 1.979786
    32 Georgian_Jews+Kurdish_Jew+Parsi+Samaritian @ 1.980697
    33 Assyrian_WGA+Kurdish_Jew+Parsi+Syrian @ 1.987245
    34 Iranian_Jew+Iranian_Jew+Lebanese+Parsi @ 1.996894
    35 Georgian_Jews+Jordanian+Kurdish_Jew+Parsi @ 2.018837
    36 Azerbaijani_Jew+Iranian_Jew+Lebanese+Parsi @ 2.019382
    37 Iraqi_Jew+Palestinian+Parsi+Uzbekistani_Jew @ 2.020921
    38 Iranian+Kurd+Samaritian+Syrian @ 2.022215
    39 Iraqi_Jew+Parsi+Samaritian+Uzbekistani_Jew @ 2.028133
    40 Georgian_Jew+Kurdish_Jew+Parsi+Syrian @ 2.032799
    29136501 iterations.


    Gaussian method.
    Noise dispersion set to 0.384776

    Using 1 population approximation:
    1 Kurdish_Jew @ 1.939183
    2 Iranian_Jew @ 2.328566
    3 Azerbaijani_Jew @ 2.838413
    4 Jew_Tat @ 3.214751
    5 Uzbekistani_Jew @ 3.820239
    6 Iraqi_Jew @ 4.56859
    7 Assyrian_WGA @ 4.628912
    8 Georgian_Jew @ 4.757634
    9 Kurd @ 5.041965
    10 Iranian @ 5.400169
    11 Syrian @ 5.704221
    12 Georgian_Jews @ 5.752181
    13 Baku_WGA @ 5.785675
    14 Azerbaijani @ 6.335029
    15 Turk_Adana @ 6.413379
    16 Lebanese @ 6.586429
    17 Armenian @ 7.023433
    18 Georgian_Laz @ 7.528962
    19 Palestinian @ 7.740064
    20 Druze @ 7.933517
    500 iterations.

    Using 2 populations approximation:
    1 Kurdish_Jew+Kurdish_Jew @ 1.939183
    2 Iranian_Jew+Kurdish_Jew @ 2.06951
    3 Iranian_Jew+Iranian_Jew @ 2.328566
    4 Azerbaijani_Jew+Kurdish_Jew @ 2.415559
    5 Iranian+Samaritian @ 2.490979
    6 Iranian+Iraqi_Jew @ 2.516704
    7 Azerbaijani_Jew+Iranian_Jew @ 2.613543
    8 Jew_Tat+Kurdish_Jew @ 2.672345
    9 Iranian+Kurdish_Jew @ 2.724615
    10 Iranian_Jew+Jew_Tat @ 2.796471
    11 Azerbaijani_Jew+Azerbaijani_Jew @ 2.838413
    12 Iranian+Lebanese @ 2.907771
    13 Azerbaijani_Jew+Jew_Tat @ 2.92855
    14 Georgian_Jew+Kurdish_Jew @ 2.932965
    15 Kurdish_Jew+Uzbekistani_Jew @ 2.962762
    16 Iranian+Iranian_Jew @ 3.018166
    17 Iranian+Palestinian @ 3.029952
    18 Kurd+Kurdish_Jew @ 3.073084
    19 Druze+Iranian @ 3.08844
    20 Iranian_Jew+Uzbekistani_Jew @ 3.098285
    125250 iterations.

    Using 3 populations approximation:
    1 50% Kurdish_Jew +25% Iranian +25% Kurdish_Jew @ 1.636368
    2 50% Iraqi_Jew +25% Makrani +25% Samaritian @ 1.641531
    3 50% Iraqi_Jew +25% Balochi +25% Samaritian @ 1.700899
    4 50% Kurdish_Jew +25% Iranian +25% Iranian_Jew @ 1.787041
    5 50% Kurdish_Jew +25% Iranian +25% Iraqi_Jew @ 1.848349
    6 50% Samaritian +25% Balochi +25% Iraqi_Jew @ 1.849977
    7 50% Iranian_Jew +25% Iranian +25% Kurdish_Jew @ 1.95552
    8 50% Samaritian +25% Iraqi_Jew +25% Makrani @ 1.964347
    9 50% Iraqi_Jew +25% Druze +25% Makrani @ 1.968305
    10 50% Druze +25% Balochi +25% Samaritian @ 1.976395
    11 50% Kurdish_Jew +25% Iranian_Jew +25% Kurdish_Jew @ 1.984363
    12 50% Kurdish_Jew +25% Azerbaijani_Jew +25% Iranian @ 1.994794
    13 50% Kurdish_Jew +25% Georgian_Jew +25% Iranian @ 1.996958
    14 50% Iraqi_Jew +25% Iraqi_Jew +25% Makrani @ 2.015441
    15 50% Iraqi_Jew +25% Brahui +25% Samaritian @ 2.020188
    16 50% Druze +25% Brahui +25% Samaritian @ 2.025563
    17 50% Kurdish_Jew +25% Iranian +25% Samaritian @ 2.050584
    18 50% Druze +25% Balochi +25% Iraqi_Jew @ 2.054413
    19 50% Iranian_Jew +25% Kurdish_Jew +25% Kurdish_Jew @ 2.06951
    20 50% Samaritian +25% Balochi +25% Druze @ 2.071759
    35113430 iterations.

    Using 4 populations approximation:
    1 Iranian+Kurdish_Jew+Kurdish_Jew+Kurdish_Jew @ 1.636368
    2 Iraqi_Jew+Iraqi_Jew+Makrani+Samaritian @ 1.641531
    3 Balochi+Iraqi_Jew+Iraqi_Jew+Samaritian @ 1.700899
    4 Balochi+Druze+Iraqi_Jew+Samaritian @ 1.740274
    5 Iranian+Iranian_Jew+Kurdish_Jew+Kurdish_Jew @ 1.787041
    6 Iranian+Iraqi_Jew+Kurdish_Jew+Kurdish_Jew @ 1.848349
    7 Balochi+Iraqi_Jew+Samaritian+Samaritian @ 1.849977
    8 Druze+Iraqi_Jew+Makrani+Samaritian @ 1.850392
    9 Brahui+Druze+Iraqi_Jew+Samaritian @ 1.933542
    10 Kurdish_Jew+Kurdish_Jew+Kurdish_Jew+Kurdish_Jew @ 1.939183
    11 Iranian+Iranian_Jew+Iranian_Jew+Kurdish_Jew @ 1.95552
    12 Iraqi_Jew+Makrani+Samaritian+Samaritian @ 1.964347
    13 Druze+Iraqi_Jew+Iraqi_Jew+Makrani @ 1.968305
    14 Iranian+Iranian_Jew+Iraqi_Jew+Kurdish_Jew @ 1.968975
    15 Balochi+Druze+Druze+Samaritian @ 1.976395
    16 Iranian_Jew+Kurdish_Jew+Kurdish_Jew+Kurdish_Jew @ 1.984363
    17 Azerbaijani_Jew+Iranian+Kurdish_Jew+Kurdish_Jew @ 1.994794
    18 Georgian_Jew+Iranian+Kurdish_Jew+Kurdish_Jew @ 1.996958
    19 Iraqi_Jew+Iraqi_Jew+Iraqi_Jew+Makrani @ 2.015441
    20 Brahui+Iraqi_Jew+Iraqi_Jew+Samaritian @ 2.020188
    21 Brahui+Druze+Druze+Samaritian @ 2.025563
    22 Iranian+Kurdish_Jew+Kurdish_Jew+Samaritian @ 2.050584
    23 Balochi+Druze+Druze+Iraqi_Jew @ 2.054413
    24 Iranian_Jew+Iranian_Jew+Kurdish_Jew+Kurdish_Jew @ 2.06951
    25 Balochi+Druze+Samaritian+Samaritian @ 2.071759
    26 Balochi+Druze+Iraqi_Jew+Iraqi_Jew @ 2.077968
    27 Brahui+Druze+Druze+Iraqi_Jew @ 2.085808
    28 Iraqi_Jew+Kurdish_Jew+Makrani+Samaritian @ 2.097974
    29 Assyrian_WGA+Iranian+Kurdish_Jew+Kurdish_Jew @ 2.10306
    30 Druze+Druze+Iraqi_Jew+Makrani @ 2.108564
    31 Balochi+Druze+Kurdish_Jew+Samaritian @ 2.113925
    32 Iranian+Iranian_Jew+Iranian_Jew+Iraqi_Jew @ 2.114
    33 Iranian+Iranian_Jew+Kurdish_Jew+Samaritian @ 2.124367
    34 Iranian+Iranian_Jew+Iranian_Jew+Iranian_Jew @ 2.135162
    35 Azerbaijani_Jew+Iranian+Iraqi_Jew+Kurdish_Jew @ 2.136347
    36 Azerbaijani_Jew+Iranian+Iranian_Jew+Kurdish_Jew @ 2.13696
    37 Druze+Kurdish_Jew+Makrani+Samaritian @ 2.142784
    38 Brahui+Druze+Druze+Druze @ 2.156736
    39 Georgian_Jew+Iraqi_Jew+Makrani+Samaritian @ 2.157248
    40 Georgian_Jew+Iranian+Iranian_Jew+Kurdish_Jew @ 2.16371
    537934102 iterations
    Last edited by Vadim Verenich; 08-03-2015 at 12:37 PM.

  20. The Following 8 Users Say Thank You to Vadim Verenich For This Useful Post:

     Agamemnon (08-06-2015),  Gray Fox (08-03-2015),  Hanna (09-24-2015),  khanabadoshi (08-05-2015),  NK19191 (08-03-2015),  Sangarius (08-03-2015),  Táltos (08-24-2015),  ZephyrousMandaru (08-03-2015)

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