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Kurd
01-28-2016, 12:36 PM
This thread is devoted to attempting to identify genetic contributions of various populations to the genetic makeup of some Kurds via formal methods.

1- Increased Andronovo Affinity:

First, I try to gauge steppe (Andronovo) affinity by comparing some Iraqi Kurds, and one N Turkish Kurd (Znertu) to some of their eastern, western, southern, and northern neighbors, and to SC Asians. These dstats surprisingly show that those Kurd samples display more steppe affinity than all their neighbors, which indicates that Andronovo related ancestry was transmitted to these Kurds by groups more related to Andronovo than their immediate neighbors.

The question then becomes which groups. To attempt to answer this I will have to measure the Kurd sample affinity to other ancestral components, for example WHG, or E Asian, because it is expected that the population that transmitted the extra Andronovo related ancestry would have transmitted other ancestral components to them as well, and likely with similar ratios.

The following dstats show the Kurds significantly more Andronovo shifted than Syrians, Iranians, and Baloch



D ( X, Kurd, Andronovo, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Syrian
.Kurd_C1
Andronovo
Gorilla
-0.0256
-5.496
100050


Syrian
.Kurd_C2
Andronovo
Gorilla
-0.0291
-6.257
100128


Syrian
.Kurd_C3
Andronovo
Gorilla
-0.031
-6.736
100225


Syrian
.Znertu
Andronovo
Gorilla
-0.0334
-7.256
100096





D ( X, Kurd, Andronovo, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Iranian
.Kurd_C1
Andronovo
Gorilla
-0.0094
-2.011
100050


Iranian
.Kurd_C2
Andronovo
Gorilla
-0.0129
-2.808
100128


Iranian
.Kurd_C3
Andronovo
Gorilla
-0.0148
-3.172
100225


Iranian
.Znertu
Andronovo
Gorilla
-0.0174
-3.902
100096





D ( X, Kurd, Andronovo, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Balochi
.Kurd_C1
Andronovo
Gorilla
-0.0123
-2.624
100050


Balochi
.Kurd_C2
Andronovo
Gorilla
-0.0158
-3.513
100128


Balochi
.Kurd_C3
Andronovo
Gorilla
-0.0177
-3.843
100225


Balochi
.Znertu
Andronovo
Gorilla
-0.0202
-4.607
100096

Kurd
01-28-2016, 12:42 PM
These show Kurds significantly more Andronovo shifted than Bedouin, Pathan, and Tajik, and also more Andronovo shifted than Armenians.



D ( X, Kurd, Andronovo, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


BedouinB
.Kurd_C1
Andronovo
Gorilla
-0.0315
-6.736
100050


BedouinB
.Kurd_C2
Andronovo
Gorilla
-0.0351
-7.434
100128


BedouinB
.Kurd_C3
Andronovo
Gorilla
-0.0368
-7.979
100225


BedouinB
.Znertu
Andronovo
Gorilla
-0.0393
-8.572
100096





D ( X, Kurd, Andronovo, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Pathan
.Kurd_C1
Andronovo
Gorilla
-0.0076
-1.652
100050


Pathan
.Kurd_C2
Andronovo
Gorilla
-0.0112
-2.452
100128


Pathan
.Kurd_C3
Andronovo
Gorilla
-0.0131
-2.866
100225


Pathan
.Znertu
Andronovo
Gorilla
-0.0155
-3.434
100096





D ( X, Kurd, Andronovo, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Tajik
.Kurd_C1
Andronovo
Gorilla
-0.0061
-1.345
97194


Tajik
.Kurd_C2
Andronovo
Gorilla
-0.0098
-2.144
97273


Tajik
.Kurd_C3
Andronovo
Gorilla
-0.0114
-2.514
97362


Tajik
.Znertu
Andronovo
Gorilla
-0.0141
-3.191
97272





D ( X, Kurd, Andronovo, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Armenian
.Kurd_C1
Andronovo
Gorilla
-0.0015
-0.332
100050


Armenian
.Kurd_C2
Andronovo
Gorilla
-0.0051
-1.138
100128


Armenian
.Kurd_C3
Andronovo
Gorilla
-0.007
-1.542
100225


Armenian
.Znertu
Andronovo
Gorilla
-0.0095
-2.122
100096

Kurd
01-28-2016, 01:13 PM
Here I try to get an idea of the amount of Andronovo in Kurds using qpAdm. Caution is needed here, because if I choose an admixing source population that itself carries substantial Andronovo, then the amount of Andronovo shown for Kurds will be underestimated. For example, Baloch and Brahui as source populations give great fits for Kurds, but because they are so Kurd like, my result looks like Kurd = 90% Balochi or Brahui + Y + Z, and if Andronovo is sample Y or Z, its amount will be underestimated, because it is included in Balochi.

To get started, I used Syrians, Andronovo, and Paniya for source populations, realizing that Andronovo estimate will be reduced by the amount of Andronovo in Syrians or Paniya (hopefully not much).

Here is what I got:



Kurd_C2
%
Chisq
Tail Prob


Syrian
45.50%
1.461
69.10%


Andronovo
35.80%




Paniya
18.70%





Here is the raw data:




codimension 1
f4info:
f4rank: 2 dof: 3 chisq: 1.461 tail: 0.691235272 dofdiff: 5 chisqdiff: -1.461 taildiff: 1
B:
scale 1.000 1.000
Atayal_Coriell 0.064 0.007
MbutiPygmy 2.102 -0.735
Karitiana 0.743 1.942
Papuan -0.118 -0.666
Ulchi 0.105 0.495
A:
scale 478.329 1298.198
Syrian 0.721 -0.899
Andronovo.SG -0.096 1.398
Paniyas -1.572 -0.489


full rank 1
f4info:
f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 3 chisqdiff: 1.461 taildiff: 0.691235272
B:
scale 1.000 1.000 1.000
Atayal_Coriell 0.024 0.044 1.761
MbutiPygmy 2.097 -0.754 0.102
Karitiana 0.764 1.926 -0.550
Papuan -0.099 -0.683 -0.896
Ulchi 0.084 0.505 0.885
A:
scale 476.100 1291.003 6693.161
Syrian 0.712 -0.917 1.285
Andronovo.SG -0.105 1.379 1.042
Paniyas -1.575 -0.506 0.512


best coefficients: 0.455 0.358 0.187
ssres:
0.000276333 -0.000005605 -0.000125319 -0.000129917 0.000130920
1.739944924 -0.035289316 -0.789077260 -0.818026259 0.824340004

Jackknife mean: 0.459561236 0.351307672 0.189131092
std. errors: 0.101 0.133 0.066

error covariance (* 1000000)
10123 -11700 1578
-11700 17695 -5994
1578 -5994 4416


fixed pat wt dof chisq tail prob
000 0 3 1.461 0.691235 0.455 0.358 0.187
001 1 4 7.986 0.09211 0.356 0.644 -0.000
010 1 4 9.775 0.0443969 0.690 -0.000 0.310
100 1 4 14.598 0.00561291 -0.000 0.924 0.076
011 2 5 50.416 1.13933e-09 1.000 -0.000 -0.000
101 2 5 15.316 0.00909504 0.000 1.000 -0.000
110 2 5 156.482 0 0.000 -0.000 1.000
best pat: 000 0.691235 - -
best pat: 001 0.09211 chi(nested): 6.524 p-value for nested model: 0.0106414
best pat: 101 0.00909504 chi(nested): 7.330 p-value for nested model: 0.00678044

Kurd
01-28-2016, 01:20 PM
A slightly better fit using Saudi instead of Syrian. Andronovo here is at 39.4%



Kurd_C2
%
Chisq
Tail Prob


Saudi
43.90%
1.275
73.50%


Andronovo
39.40%




Paniya
16.70%







Using Austro-Asiatic Ho in lieu of Dravidian Paniya, increased Andronov, but the fit was worse



Kurd_C2
%
Chisq
Tail Prob


Saudi
46.90%
1.854
60.30%


Andronovo
41.20%




Ho
11.90%

Kurd
01-28-2016, 01:36 PM
Recognizing that the amount of Andronovo may vary from one Kurd sample to the next, I will be using all the Kurd samples.

With Iraqi Kurd C3, the fit was really nice with 36% Andronovo.




Kurd_C3
%
Chisq
Tail Prob


Saudi
51.00%
0.619
89.20%


Andronovo
36.00%




Paniya
13.00%






EDIT: Added raw data

codimension 1
f4info:
f4rank: 2 dof: 3 chisq: 0.619 tail: 0.892136473 dofdiff: 5 chisqdiff: -0.619 taildiff: 1
B:
scale 1.000 1.000
Atayal_Coriell 0.023 0.105
MbutiPygmy 2.131 -0.652
Karitiana 0.662 1.964
Papuan -0.089 -0.702
Ulchi 0.104 0.463
A:
scale 460.124 1226.819
Saudi 0.578 -0.869
Andronovo.SG -0.237 1.411
Paniyas -1.616 -0.504


full rank 1
f4info:
f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 3 chisqdiff: 0.619 taildiff: 0.892136473
B:
scale 1.000 1.000 1.000
Atayal_Coriell -0.012 0.129 1.864
MbutiPygmy 2.130 -0.663 0.041
Karitiana 0.666 1.957 -0.139
Papuan -0.101 -0.701 0.627
Ulchi 0.086 0.472 1.054
A:
scale 461.255 1223.937 10706.874
Saudi 0.592 -0.885 1.366
Andronovo.SG -0.223 1.396 1.001
Paniyas -1.612 -0.519 0.363


best coefficients: 0.510 0.360 0.130
ssres:
0.000190389 0.000070547 -0.000020956 0.000070751 0.000105058
1.772201210 0.656670904 -0.195062106 0.658577614 0.977912315

Jackknife mean: 0.513176003 0.355626807 0.131197190
std. errors: 0.093 0.121 0.068

error covariance (* 1000000)
8628 -9304 676
-9304 14564 -5260
676 -5260 4584


fixed pat wt dof chisq tail prob
000 0 3 0.619 0.892136 0.510 0.360 0.130
001 1 4 3.993 0.406939 0.480 0.520 0.000
010 1 4 10.235 0.0366525 0.737 -0.000 0.263
100 1 4 19.154 0.000732934 0.000 0.988 0.012
011 2 5 34.778 1.66605e-06 1.000 -0.000 -0.000
101 2 5 19.170 0.00178652 0.000 1.000 -0.000
110 2 5 163.597 0 0.000 -0.000 1.000
best pat: 000 0.892136 - -
best pat: 001 0.406939 chi(nested): 3.374 p-value for nested model: 0.0662165
best pat: 101 0.00178652 chi(nested): 15.177 p-value for nested model: 9.78693e-05

Kurd
01-29-2016, 03:18 AM
Znertu
%
Chisq
Tail Prob


Syrian
46.10%
1.087
78.00%


Andronovo
44.00%






Paniya
9.90%
















Arbogan
%
Chisq
Tail Prob


Saudi
57.80%
2.34
50.50%


Andronovo
37.50%






Paniya
4.70%
















Kurd_SE
%
Chisq
Tail Prob


Saudi
22.30%
4.49
21.20%


Andronovo
57.10%






Ho
20.60%
















Kurd_C1
%
Chisq
Tail Prob


Saudi
64.10%
1.639
65.00%


Andronovo
25.40%






Paniya
10.60%

Coldmountains
01-29-2016, 07:46 AM
Bump.

Kurd
01-29-2016, 01:09 PM
2 - Increased CHG Affinity

From the study group, Kurds showed more shared total drift with CHG than the SC Asian and W Asian groups, except for Georgians and Armenians. Kurd_N is comprised of 6 samples. Generally, Kurds from Turkey had more shared drift with CHG than Iraqi Kurds



D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Balochi
.Znertu
Kotias
Primate_Gorilla
-0.0155
-2.91
85049


Balochi
.Kurd_C2
Kotias
Primate_Gorilla
-0.0126
-2.458
85079


Balochi
Kurd_N
Kotias
Primate_Gorilla
-0.0124
-4.823
96602


Balochi
.Arbogan
Kotias
Primate_Gorilla
-0.0116
-2.144
83071


Balochi
.Kurd_C3
Kotias
Primate_Gorilla
-0.0108
-2.106
85163


Balochi
.Kurd_SE
Kotias
Primate_Gorilla
-0.0059
-1.153
85072


Balochi
.Kurd_C1
Kotias
Primate_Gorilla
-0.0037
-0.694
85022





D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


BedouinB
.Znertu
Kotias
Primate_Gorilla
-0.0377
-7.091
85049


BedouinB
Kurd_N
Kotias
Primate_Gorilla
-0.0355
-12.798
96602


BedouinB
.Kurd_C2
Kotias
Primate_Gorilla
-0.035
-6.708
85079


BedouinB
.Arbogan
Kotias
Primate_Gorilla
-0.0336
-6.293
83071


BedouinB
.Kurd_C3
Kotias
Primate_Gorilla
-0.033
-6.358
85163


BedouinB
.Kurd_SE
Kotias
Primate_Gorilla
-0.0279
-5.341
85072


BedouinB
.Kurd_C1
Kotias
Primate_Gorilla
-0.026
-4.756
85022





D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Iranian
.Znertu
Kotias
Primate_Gorilla
-0.0123
-2.277
85049


Iranian
Kurd_N
Kotias
Primate_Gorilla
-0.0099
-3.746
96602


Iranian
.Kurd_C2
Kotias
Primate_Gorilla
-0.0095
-1.769
85079


Iranian
.Arbogan
Kotias
Primate_Gorilla
-0.0085
-1.593
83071


Iranian
.Kurd_C3
Kotias
Primate_Gorilla
-0.0076
-1.424
85163


Iranian
.Kurd_SE
Kotias
Primate_Gorilla
-0.0028
-0.529
85072


Iranian
.Kurd_C1
Kotias
Primate_Gorilla
-0.0006
-0.119
85022





D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Pathan
.Znertu
Kotias
Primate_Gorilla
-0.0125
-2.361
85049


Pathan
Kurd_N
Kotias
Primate_Gorilla
-0.0104
-4.027
96602


Pathan
.Kurd_C2
Kotias
Primate_Gorilla
-0.0097
-1.893
85079


Pathan
.Arbogan
Kotias
Primate_Gorilla
-0.0087
-1.644
83071


Pathan
.Kurd_C3
Kotias
Primate_Gorilla
-0.0079
-1.543
85163


Pathan
.Kurd_SE
Kotias
Primate_Gorilla
-0.003
-0.583
85072


Pathan
.Kurd_C1
Kotias
Primate_Gorilla
-0.0009
-0.169
85022





D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Syrian
.Znertu
Kotias
Primate_Gorilla
-0.031
-5.521
85049


Syrian
Kurd_N
Kotias
Primate_Gorilla
-0.0289
-10.407
96602


Syrian
.Kurd_C2
Kotias
Primate_Gorilla
-0.0281
-5.203
85079


Syrian
.Arbogan
Kotias
Primate_Gorilla
-0.0267
-4.946
83071


Syrian
.Kurd_C3
Kotias
Primate_Gorilla
-0.0263
-4.881
85163


Syrian
.Kurd_SE
Kotias
Primate_Gorilla
-0.0212
-3.978
85072


Syrian
.Kurd_C1
Kotias
Primate_Gorilla
-0.0192
-3.49
85022

Kurd
01-29-2016, 01:11 PM
D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Tajik
.Znertu
Kotias
Primate_Gorilla
-0.0139
-2.591
82566


Tajik
.Kurd_C2
Kotias
Primate_Gorilla
-0.0124
-2.376
82571


Tajik
.Kurd_C3
Kotias
Primate_Gorilla
-0.01
-1.921
82647


Tajik
.Arbogan
Kotias
Primate_Gorilla
-0.0099
-1.934
82593


Tajik
.Kurd_SE
Kotias
Primate_Gorilla
-0.0056
-1.071
82559


Tajik
.Kurd_C1
Kotias
Primate_Gorilla
-0.0031
-0.587
82511





D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Turkish
.Znertu
Kotias
Primate_Gorilla
-0.0083
-1.469
85049


Turkish
Kurd_N
Kotias
Primate_Gorilla
-0.0057
-1.835
96602


Turkish
.Kurd_C2
Kotias
Primate_Gorilla
-0.0054
-1.006
85079


Turkish
.Arbogan
Kotias
Primate_Gorilla
-0.0044
-0.808
83071


Turkish
.Kurd_C3
Kotias
Primate_Gorilla
-0.0036
-0.676
85163


Turkish
.Kurd_SE
Kotias
Primate_Gorilla
0.0013
0.245
85072


Turkish
.Kurd_C1
Kotias
Primate_Gorilla
0.0033
0.585
85022





D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Bulgarian
.Znertu
Kotias
Primate_Gorilla
-0.0073
-1.349
85049


Bulgarian
Kurd_N
Kotias
Primate_Gorilla
-0.0053
-2.047
96602


Bulgarian
.Kurd_C2
Kotias
Primate_Gorilla
-0.0044
-0.863
85079


Bulgarian
.Arbogan
Kotias
Primate_Gorilla
-0.0036
-0.693
83071


Bulgarian
.Kurd_C3
Kotias
Primate_Gorilla
-0.0026
-0.51
85163


Bulgarian
.Kurd_SE
Kotias
Primate_Gorilla
0.0022
0.425
85072


Bulgarian
.Kurd_C1
Kotias
Primate_Gorilla
0.0045
0.841
85022

Kurd
01-29-2016, 01:15 PM
The exception was that Armenians and Georgians had more shared drift with CHG than Kurds, although the stat was not significant in the case of Znertu, Arbogan, and Kurd C2, with regards to Armenians.



D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Armenian
.Znertu
Kotias
Primate_Gorilla
0.0008
0.142
85049


Armenian
Kurd_N
Kotias
Primate_Gorilla
0.0029
1.158
96602


Armenian
.Kurd_C2
Kotias
Primate_Gorilla
0.0036
0.704
85079


Armenian
.Arbogan
Kotias
Primate_Gorilla
0.0045
0.864
83071


Armenian
.Kurd_C3
Kotias
Primate_Gorilla
0.0055
1.081
85163


Armenian
.Kurd_SE
Kotias
Primate_Gorilla
0.0102
1.927
85072


Armenian
.Kurd_C1
Kotias
Primate_Gorilla
0.0125
2.362
85022




D ( X, Kurd, Kotias CHG, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Georgian
.Znertu
Kotias
Primate_Gorilla
0.0139
2.595
85049


Georgian
Kurd_N
Kotias
Primate_Gorilla
0.0164
6.175
96602


Georgian
.Kurd_C2
Kotias
Primate_Gorilla
0.0168
3.182
85079


Georgian
.Arbogan
Kotias
Primate_Gorilla
0.0175
3.355
83071


Georgian
.Kurd_C3
Kotias
Primate_Gorilla
0.0186
3.613
85163


Georgian
.Kurd_SE
Kotias
Primate_Gorilla
0.0232
4.502
85072


Georgian
.Kurd_C1
Kotias
Primate_Gorilla
0.0257
4.863
85022

Kurd
01-30-2016, 02:35 PM
3- Increased Dai Affinity

The following stats show Kurd shared drift with SE Asian Dai. I have included Jesus and DMXX in the analysis, since it is well established that Azeris and Iranians form a near clade with Kurds, and in some cases, especially in the case of Azeris, indistinguishable from Kurds. This can be seen in the tables as Jesus and DMXX are "sandwiched" between various Kurd samples.

The 1st comparisons against Syrians and BedouinB show all Kurds/Iranian samples more Dai shifted than Syrians and BedouinB. The tables are sorted with samples with the greatest shift towards Dai on top.



D ( Syrian, Kurd, Dai, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Syrian
.Kurd_SE
Dai
Gorilla
-0.0391
-9.051
100610


Syrian
.Kurd_SE2
Dai
Gorilla
-0.037
-8.434
100409


Syrian
.Kurd_C3
Dai
Gorilla
-0.0283
-6.524
100719


Syrian
.Kurd_C2
Dai
Gorilla
-0.0281
-6.378
100621


Syrian
.Znertu
Dai
Gorilla
-0.0247
-5.693
100590


Syrian
.DMXX
Dai
Gorilla
-0.0233
-5.224
98414


Syrian
.Arbogan
Dai
Gorilla
-0.0233
-5.259
98326


Syrian
Kurd_N
Dai
Gorilla
-0.0231
-10.418
114164


Syrian
.Zara
Dai
Gorilla
-0.0213
-4.564
100658


Syrian
.Kurd_C1
Dai
Gorilla
-0.0209
-4.674
100542


Syrian
.Jesus
Dai
Gorilla
-0.0086
-1.86
100388





D ( BedouinB, Kurd, Dai, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


BedouinB
.Kurd_SE
Dai
Gorilla
-0.0444
-10.024
100610


BedouinB
.Kurd_SE2
Dai
Gorilla
-0.0423
-10.005
100409


BedouinB
.Kurd_C3
Dai
Gorilla
-0.0338
-7.801
100719


BedouinB
.Kurd_C2
Dai
Gorilla
-0.0336
-7.692
100621


BedouinB
.Znertu
Dai
Gorilla
-0.0302
-6.919
100590


BedouinB
.DMXX
Dai
Gorilla
-0.0288
-6.51
98414


BedouinB
.Arbogan
Dai
Gorilla
-0.0288
-6.451
98326


BedouinB
Kurd_N
Dai
Gorilla
-0.0285
-12.279
114164


BedouinB
.Zara
Dai
Gorilla
-0.0267
-5.726
100658


BedouinB
.Kurd_C1
Dai
Gorilla
-0.0263
-5.741
100542


BedouinB
.Jesus
Dai
Gorilla
-0.014
-2.975
100388

Kurd
01-30-2016, 02:43 PM
Next, I compare the Dai shift of the samples vs Caucausus groups such as Armenians and Georgians. Here it gets a little more interesting. Some Kurd/Iranian samples show more Dai shift vs Caucausus, others show almost neutral shift, and yet others show less Dai shift.

I have color coded, with the ones showing more Dai shift vs Caucausus shown in yellow, ones with somewhat insignificant shift in green, and ones with less Dai shift in blue (bottom). The - sign indicates more Dai shift, in some cases insignificantly so, and the + sign shows less Dai shift.



D ( Georgian, Kurd, Dai, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Georgian
.Kurd_SE
Dai
Gorilla
-0.0183
-4.309
100610


Georgian
.Kurd_SE2
Dai
Gorilla
-0.0167
-3.979
100409


Georgian
.Kurd_C3
Dai
Gorilla
-0.0073
-1.705
100719


Georgian
.Kurd_C2
Dai
Gorilla
-0.0068
-1.614
100621


Georgian
.Znertu
Dai
Gorilla
-0.0036
-0.839
100590


Georgian
.DMXX
Dai
Gorilla
-0.0025
-0.572
98414


Georgian
.Arbogan
Dai
Gorilla
-0.0025
-0.565
98326


Georgian
Kurd_N
Dai
Gorilla
-0.0014
-0.668
114164


Georgian
.Zara
Dai
Gorilla
-0.0004
-0.079
100658


Georgian
.Kurd_C1
Dai
Gorilla
0.0004
0.091
100542


Georgian
.Jesus
Dai
Gorilla
0.0125
2.673
100388






D ( Armenian, Kurd, Dai, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Armenian
.Kurd_SE
Dai
Gorilla
-0.0195
-4.581
100610


Armenian
.Kurd_SE2
Dai
Gorilla
-0.018
-4.356
100409


Armenian
.Kurd_C3
Dai
Gorilla
-0.0084
-2.002
100719


Armenian
.Kurd_C2
Dai
Gorilla
-0.0082
-1.931
100621


Armenian
.Znertu
Dai
Gorilla
-0.0047
-1.107
100590


Armenian
.DMXX
Dai
Gorilla
-0.0037
-0.856
98414


Armenian
.Arbogan
Dai
Gorilla
-0.0037
-0.843
98326


Armenian
Kurd_N
Dai
Gorilla
-0.0028
-1.355
114164


Armenian
.Zara
Dai
Gorilla
-0.0016
-0.344
100658


Armenian
.Kurd_C1
Dai
Gorilla
-0.0008
-0.182
100542


Armenian
.Jesus
Dai
Gorilla
0.0114
2.515
100388

Kurd
01-30-2016, 02:54 PM
The following set show Dai shift vs Iranians, Baloch, and Pashtuns.

With Iranians, most of the Iraqi Kurd and SE Kurd samples show more Dai shift. DMXX, Znertu, and Arbogan, show more shift, although insignificantly so. Zarafshan (Iranian Baloch), Kurd C1, and Kurds N, show less Dai shift, although insignificantly so. Jesus shows less Dai shift than Iranians.

With Pakistani Baloch, only the Kurd SE samples show more Dai shift than them. This is likely due to the increased ASI admixture in Pakistani Baloch. Iraqi Kurds C2 and C3 are sort of borderline, in that they show very slightly less Dai shift than Baloch. The remaining samples shaded blue show less Dai shift.

With Pashtuns, all the samples, except for the Kurd SE samples (borderline), show less Dai shift than Pashtuns.



D (Iranian, Kurd, Dai, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Iranian
.Kurd_SE
Dai
Gorilla
-0.0164
-3.731
100610


Iranian
.Kurd_SE2
Dai
Gorilla
-0.0151
-3.59
100409


Iranian
.Kurd_C3
Dai
Gorilla
-0.0053
-1.216
100719


Iranian
.Kurd_C2
Dai
Gorilla
-0.005
-1.151
100621


Iranian
.Znertu
Dai
Gorilla
-0.0017
-0.396
100590


Iranian
.DMXX
Dai
Gorilla
-0.0007
-0.147
98414


Iranian
.Arbogan
Dai
Gorilla
-0.0006
-0.142
98326


Iranian
Kurd_N
Dai
Gorilla
0.0004
0.204
114164


Iranian
.Zara
Dai
Gorilla
0.0014
0.307
100658


Iranian
.Kurd_C1
Dai
Gorilla
0.0022
0.494
100542


Iranian
.Jesus
Dai
Gorilla
0.0143
3.19
100388





D (Balochi, Kurd, Dai, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Balochi
.Kurd_SE
Dai
Gorilla
-0.008
-1.904
100610


Balochi
.Kurd_SE2
Dai
Gorilla
-0.0068
-1.653
100409


Balochi
.Kurd_C3
Dai
Gorilla
0.003
0.721
100719


Balochi
.Kurd_C2
Dai
Gorilla
0.0034
0.809
100621


Balochi
.Znertu
Dai
Gorilla
0.0066
1.585
100590


Balochi
.DMXX
Dai
Gorilla
0.0077
1.736
98414


Balochi
.Arbogan
Dai
Gorilla
0.0078
1.738
98326


Balochi
Kurd_N
Dai
Gorilla
0.0088
3.999
114164


Balochi
.Zara
Dai
Gorilla
0.0097
2.108
100658


Balochi
.Kurd_C1
Dai
Gorilla
0.0105
2.375
100542


Balochi
.Jesus
Dai
Gorilla
0.0225
4.881
100388





D ( Pashtun, Kurd, Dai, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Pashtun_Afghan
.Kurd_SE
Dai
Gorilla
0.0012
0.251
97744


Pashtun_Afghan
.Kurd_SE2
Dai
Gorilla
0.0019
0.413
97745


Pashtun_Afghan
.Kurd_C3
Dai
Gorilla
0.0116
2.484
97743


Pashtun_Afghan
.Kurd_C2
Dai
Gorilla
0.0118
2.478
97742


Pashtun_Afghan
.Znertu
Dai
Gorilla
0.0153
3.229
97746


Pashtun_Afghan
.Arbogan
Dai
Gorilla
0.0168
3.385
97740


Pashtun_Afghan
.DMXX
Dai
Gorilla
0.0173
3.525
97750


Pashtun_Afghan
Kurd_N
Dai
Gorilla
0.0186
6.485
97747


Pashtun_Afghan
.Zara
Dai
Gorilla
0.0187
3.676
97749


Pashtun_Afghan
.Kurd_C1
Dai
Gorilla
0.0192
3.95
97741


Pashtun_Afghan
.Jesus
Dai
Gorilla
0.0316
6.276
97748

Kurd
01-30-2016, 02:57 PM
double post

Kurd
01-30-2016, 03:13 PM
@ NK19191

Sorry, forgot about you. I will add you to the next set. Upcoming comparisons with E / NE Asians, and other ENA

Almost forgot about Azeris. With Azeris, the Kurd SE samples, and Kurd C2 (marginally), have more Dai shift. The remaining samples have less Dai shift, with the samples shaded green showing marginally less Dai shift. The blue samples have less Dai shift than Azeris



D ( Azeri, Kurd, Dai, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Azeri
.Kurd_SE2
Dai
Gorilla
-0.0094
-1.899
61090


Azeri
.Kurd_SE
Dai
Gorilla
-0.0069
-1.435
61079


Azeri
.Kurd_C2
Dai
Gorilla
-0.0015
-0.315
61093


Azeri
.Kurd_C3
Dai
Gorilla
0.0016
0.327
61156


Azeri
.Znertu
Dai
Gorilla
0.0025
0.534
61113


Azeri
.Arbogan
Dai
Gorilla
0.0043
0.862
61137


Azeri
.Zara
Dai
Gorilla
0.0048
0.901
61137


Azeri
.DMXX
Dai
Gorilla
0.0056
1.154
61180


Azeri
.Kurd_C1
Dai
Gorilla
0.0081
1.628
61026


Azeri
Kurd_N
Dai
Gorilla
0.0083
3.71
71776


Azeri
.Jesus
Dai
Gorilla
0.0232
4.39
60960

Kurd
01-30-2016, 06:17 PM
4- Affinity to Mongols

All samples share more drift with Mongols than Syrians and Bedouin do. The tables are sorted with the samples sharing the most drift with Mongols on top.



D ( Syrian, Kurd, Mongols, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Syrian
.Kurd_SE
Mongols
Gorilla
-0.0375
-8.625
100610


Syrian
.Kurd_SE2
Mongols
Gorilla
-0.0359
-8.224
100409


Syrian
.Kurd_C3
Mongols
Gorilla
-0.0285
-6.55
100719


Syrian
.Kurd_C2
Mongols
Gorilla
-0.0279
-6.395
100621


Syrian
.NK19191
Mongols
Gorilla
-0.0244
-5.533
100500


Syrian
.Znertu
Mongols
Gorilla
-0.0235
-5.35
100590


Syrian
.DMXX
Mongols
Gorilla
-0.0229
-5.195
98414


Syrian
Kurd_N
Mongols
Gorilla
-0.0229
-10.152
114164


Syrian
.Kurd_C1
Mongols
Gorilla
-0.0226
-5.005
100542


Syrian
.Arbogan
Mongols
Gorilla
-0.0212
-4.757
98326


Syrian
.Zara
Mongols
Gorilla
-0.0187
-4.054
100658


Syrian
.Jesus
Mongols
Gorilla
-0.0081
-1.722
100388





D ( BedouinB, Kurd, Mongols, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


BedouinB
.Kurd_SE
Mongols
Gorilla
-0.0429
-9.654
100610


BedouinB
.Kurd_SE2
Mongols
Gorilla
-0.0413
-9.771
100409


BedouinB
.Kurd_C3
Mongols
Gorilla
-0.0341
-7.88
100719


BedouinB
.Kurd_C2
Mongols
Gorilla
-0.0335
-7.825
100621


BedouinB
.NK19191
Mongols
Gorilla
-0.03
-6.629
100500


BedouinB
.Znertu
Mongols
Gorilla
-0.0291
-6.586
100590


BedouinB
.DMXX
Mongols
Gorilla
-0.0286
-6.586
98414


BedouinB
Kurd_N
Mongols
Gorilla
-0.0285
-12.229
114164


BedouinB
.Kurd_C1
Mongols
Gorilla
-0.028
-6.043
100542


BedouinB
.Arbogan
Mongols
Gorilla
-0.0268
-5.963
98326


BedouinB
.Zara
Mongols
Gorilla
-0.0242
-5.278
100658


BedouinB
.Jesus
Mongols
Gorilla
-0.0136
-2.855
100388

Kurd
01-30-2016, 06:25 PM
When the samples are compared with Armenians and Georgians, all Kurds are more Mongol shifted than Armenians & Georgians. The highest Mongol shifted samples were Kurds SE and Iraqi Kurds.

1- The samples shaded yellow share more drift with Mongols than Armenians/Georgians share with Mongols.

2- The samples shaded green are; either marginally more Mongol shifted than Caucuses if -ve, or marginally less Mongol shifted if +ve

3- The samples shaded blue are less Mongol shifted than Caucuses



D ( Armenian, Kurd, Mongols, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Armenian
.Kurd_SE
Mongols
Gorilla
-0.0179
-4.119
100610


Armenian
.Kurd_SE2
Mongols
Gorilla
-0.0169
-4.069
100409


Armenian
.Kurd_C3
Mongols
Gorilla
-0.0086
-2.012
100719


Armenian
.Kurd_C2
Mongols
Gorilla
-0.0079
-1.879
100621


Armenian
.NK19191
Mongols
Gorilla
-0.0044
-1.015
100500


Armenian
.DMXX
Mongols
Gorilla
-0.0034
-0.785
98414


Armenian
.Znertu
Mongols
Gorilla
-0.0034
-0.784
100590


Armenian
Kurd_N
Mongols
Gorilla
-0.0026
-1.233
114164


Armenian
.Kurd_C1
Mongols
Gorilla
-0.0025
-0.551
100542


Armenian
.Arbogan
Mongols
Gorilla
-0.0015
-0.349
98326


Armenian
.Zara
Mongols
Gorilla
0.0011
0.232
100658


Armenian
.Jesus
Mongols
Gorilla
0.0119
2.611
100388





D ( Georgian, Kurd, Mongols, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Georgian
.Kurd_SE
Mongols
Gorilla
-0.0167
-3.929
100610


Georgian
.Kurd_SE2
Mongols
Gorilla
-0.0157
-3.741
100409


Georgian
.Kurd_C3
Mongols
Gorilla
-0.0075
-1.767
100719


Georgian
.Kurd_C2
Mongols
Gorilla
-0.0066
-1.585
100621


Georgian
.NK19191
Mongols
Gorilla
-0.0033
-0.737
100500


Georgian
.Znertu
Mongols
Gorilla
-0.0022
-0.528
100590


Georgian
.DMXX
Mongols
Gorilla
-0.0021
-0.499
98414


Georgian
.Kurd_C1
Mongols
Gorilla
-0.0013
-0.284
100542


Georgian
Kurd_N
Mongols
Gorilla
-0.001
-0.482
114164


Georgian
.Arbogan
Mongols
Gorilla
-0.0003
-0.079
98326


Georgian
.Zara
Mongols
Gorilla
0.0023
0.496
100658


Georgian
.Jesus
Mongols
Gorilla
0.013
2.778
100388

Kurd
01-30-2016, 06:32 PM
When compared with Iranians, Kurds SE and 2 out of 3 Iraqi Kurds were more Mongol shifted than Iranians (yellow)

The green shaded samples were borderline, and the blue less Mongol shifted than Iranians.

When compared to Azeris, only Kurds SE and Iraqi Kurd C2 (marginally) were more Mongol shifted than Azeris. The green were borderline, and the blue less Mongol shifted than Azeris



D ( Iranian, Kurd, Mongols, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Iranian
.Kurd_SE
Mongols
Gorilla
-0.0144
-3.237
100610


Iranian
.Kurd_SE2
Mongols
Gorilla
-0.0136
-3.241
100409


Iranian
.Kurd_C3
Mongols
Gorilla
-0.0052
-1.17
100719


Iranian
.Kurd_C2
Mongols
Gorilla
-0.0044
-1.033
100621


Iranian
.NK19191
Mongols
Gorilla
-0.001
-0.239
100500


Iranian
.DMXX
Mongols
Gorilla
0
0.001
98414


Iranian
.Znertu
Mongols
Gorilla
0
-0.004
100590


Iranian
Kurd_N
Mongols
Gorilla
0.0008
0.38
114164


Iranian
.Kurd_C1
Mongols
Gorilla
0.0009
0.19
100542


Iranian
.Arbogan
Mongols
Gorilla
0.0018
0.405
98326


Iranian
.Zara
Mongols
Gorilla
0.0045
0.959
100658


Iranian
.Jesus
Mongols
Gorilla
0.0151
3.299
100388





D ( Azeri, Kurd, Mongols, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Azeri
.Kurd_SE2
Mongols
Gorilla
-0.0084
-1.69
61090


Azeri
.Kurd_SE
Mongols
Gorilla
-0.0062
-1.263
61079


Azeri
.Kurd_C2
Mongols
Gorilla
-0.0024
-0.51
61093


Azeri
.Kurd_C3
Mongols
Gorilla
0.0013
0.258
61156


Azeri
.NK19191
Mongols
Gorilla
0.0032
0.648
61100


Azeri
.Znertu
Mongols
Gorilla
0.0045
0.956
61113


Azeri
.DMXX
Mongols
Gorilla
0.0061
1.257
61180


Azeri
.Kurd_C1
Mongols
Gorilla
0.0072
1.432
61026


Azeri
.Zara
Mongols
Gorilla
0.0075
1.41
61137


Azeri
.Arbogan
Mongols
Gorilla
0.0078
1.543
61137


Azeri
Kurd_N
Mongols
Gorilla
0.009
4.047
71776


Azeri
.Jesus
Mongols
Gorilla
0.024
4.55
60960

Kurd
01-30-2016, 06:37 PM
Compared to Baloch, SE Kurds were more Mongol shifted than Baloch. Iraqi Kurds C2 & C3 were borderline, and the blue samples less Mongol shifted than Baloch.

Compared to Turks and Pashtun, only Kurds SE were borderline, with the rest of the samples less Mongol shifted than Turks and Pashtuns



D ( Balochi, Kurd, Mongols, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Balochi
.Kurd_SE
Mongols
Gorilla
-0.0083
-1.964
100610


Balochi
.Kurd_SE2
Mongols
Gorilla
-0.0076
-1.834
100409


Balochi
.Kurd_C3
Mongols
Gorilla
0.0009
0.206
100719


Balochi
.Kurd_C2
Mongols
Gorilla
0.0017
0.405
100621


Balochi
.NK19191
Mongols
Gorilla
0.0049
1.119
100500


Balochi
.Znertu
Mongols
Gorilla
0.0059
1.408
100590


Balochi
.DMXX
Mongols
Gorilla
0.0061
1.397
98414


Balochi
.Kurd_C1
Mongols
Gorilla
0.0069
1.53
100542


Balochi
Kurd_N
Mongols
Gorilla
0.0071
3.245
114164


Balochi
.Arbogan
Mongols
Gorilla
0.0079
1.744
98326


Balochi
.Zara
Mongols
Gorilla
0.0105
2.272
100658


Balochi
.Jesus
Mongols
Gorilla
0.021
4.581
100388





D ( Pashtun, Kurd, Mongols, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Pashtun_Afghan
.Kurd_SE
Mongols
Gorilla
0.0018
0.386
97746


Pashtun_Afghan
.Kurd_SE2
Mongols
Gorilla
0.002
0.44
97747


Pashtun_Afghan
.Kurd_C3
Mongols
Gorilla
0.0105
2.262
97745


Pashtun_Afghan
.Kurd_C2
Mongols
Gorilla
0.0112
2.382
97744


Pashtun_Afghan
.NK19191
Mongols
Gorilla
0.015
3.199
97751


Pashtun_Afghan
.Znertu
Mongols
Gorilla
0.0158
3.278
97749


Pashtun_Afghan
.DMXX
Mongols
Gorilla
0.0168
3.534
97741


Pashtun_Afghan
.Kurd_C1
Mongols
Gorilla
0.0168
3.457
97743


Pashtun_Afghan
Kurd_N
Mongols
Gorilla
0.0178
6.176
97750


Pashtun_Afghan
.Arbogan
Mongols
Gorilla
0.0182
3.656
97740


Pashtun_Afghan
.Zara
Mongols
Gorilla
0.0207
4.127
97748


Pashtun_Afghan
.Jesus
Mongols
Gorilla
0.0314
6.177
97742





D ( Turkish, Kurd, Mongols, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Turkish
.Kurd_SE
Mongols
Gorilla
0.0016
0.358
100610


Turkish
.Kurd_SE2
Mongols
Gorilla
0.0019
0.422
100409


Turkish
.Kurd_C3
Mongols
Gorilla
0.0109
2.492
100719


Turkish
.Kurd_C2
Mongols
Gorilla
0.0118
2.724
100621


Turkish
.NK19191
Mongols
Gorilla
0.0149
3.173
100500


Turkish
.DMXX
Mongols
Gorilla
0.0159
3.512
98414


Turkish
.Znertu
Mongols
Gorilla
0.0161
3.551
100590


Turkish
Kurd_N
Mongols
Gorilla
0.0166
6.341
114164


Turkish
.Kurd_C1
Mongols
Gorilla
0.0168
3.505
100542


Turkish
.Arbogan
Mongols
Gorilla
0.0177
3.814
98326


Turkish
.Zara
Mongols
Gorilla
0.0203
4.19
100658


Turkish
.Jesus
Mongols
Gorilla
0.031
6.296
100388

Kurd
01-31-2016, 08:06 AM
5- Shared drift with Papuans

All the samples (Kurds / Iranians) were more Papuan shifted than Kotias CHG, Syrians, and BedouinB. The tables are sorted, with the samples showing the most Papuan shift on top.



D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Kotias
.Kurd_SE
Papuan
Gorilla
-0.0317
-4.795
85072


Kotias
.Kurd_SE2
Papuan
Gorilla
-0.0236
-3.684
84900


Kotias
.Kurd_C3
Papuan
Gorilla
-0.0219
-3.303
85163


Kotias
.NK19191
Papuan
Gorilla
-0.0194
-2.951
84979


Kotias
.Kurd_C2
Papuan
Gorilla
-0.0182
-2.666
85079


Kotias
.DMXX
Papuan
Gorilla
-0.015
-2.315
83147


Kotias
Kurd_N
Papuan
Gorilla
-0.015
-3.217
96602


Kotias
.Znertu
Papuan
Gorilla
-0.0132
-2.069
85049


Kotias
.Kurd_C1
Papuan
Gorilla
-0.013
-1.944
85022


Kotias
.Zara
Papuan
Gorilla
-0.0123
-1.794
85111


Kotias
.Arbogan
Papuan
Gorilla
-0.0094
-1.401
83071


Kotias
.Jesus
Papuan
Gorilla
-0.0026
-0.384
84887





D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Syrian
.Kurd_SE
Papuan
Gorilla
-0.0397
-8.426
100610


Syrian
.Kurd_SE2
Papuan
Gorilla
-0.0317
-6.806
100409


Syrian
.Kurd_C3
Papuan
Gorilla
-0.0277
-5.882
100719


Syrian
.NK19191
Papuan
Gorilla
-0.0268
-5.788
100500


Syrian
.Kurd_C2
Papuan
Gorilla
-0.0261
-5.525
100621


Syrian
.DMXX
Papuan
Gorilla
-0.0239
-4.995
98414


Syrian
Kurd_N
Papuan
Gorilla
-0.0237
-9.539
114164


Syrian
.Kurd_C1
Papuan
Gorilla
-0.0225
-4.687
100542


Syrian
.Znertu
Papuan
Gorilla
-0.022
-4.75
100590


Syrian
.Zara
Papuan
Gorilla
-0.0206
-4.088
100658


Syrian
.Arbogan
Papuan
Gorilla
-0.0179
-3.781
98326


Syrian
.Jesus
Papuan
Gorilla
-0.0109
-2.328
100388





D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


BedouinB
.Kurd_SE
Papuan
Gorilla
-0.0416
-8.815
100610


BedouinB
.Kurd_SE2
Papuan
Gorilla
-0.0336
-7.318
100409


BedouinB
.Kurd_C3
Papuan
Gorilla
-0.0297
-6.343
100719


BedouinB
.NK19191
Papuan
Gorilla
-0.0289
-6.363
100500


BedouinB
.Kurd_C2
Papuan
Gorilla
-0.0282
-5.94
100621


BedouinB
.DMXX
Papuan
Gorilla
-0.026
-5.493
98414


BedouinB
Kurd_N
Papuan
Gorilla
-0.0259
-10.612
114164


BedouinB
.Kurd_C1
Papuan
Gorilla
-0.0245
-5.119
100542


BedouinB
.Znertu
Papuan
Gorilla
-0.024
-5.266
100590


BedouinB
.Zara
Papuan
Gorilla
-0.0226
-4.535
100658


BedouinB
.Arbogan
Papuan
Gorilla
-0.02
-4.161
98326


BedouinB
.Jesus
Papuan
Gorilla
-0.0129
-2.682
100388

Kurd
01-31-2016, 08:10 AM
With Armenians and Georgians, the samples shaded yellow were more Papan shifted, with the most shifted ones on top, and the ones less Papuan shifted are shaded green.



D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Armenian
.Kurd_SE
Papuan
Gorilla
-0.0188
-4.047
100610


Armenian
.Kurd_SE2
Papuan
Gorilla
-0.0113
-2.531
100409


Armenian
.Kurd_C3
Papuan
Gorilla
-0.0064
-1.412
100719


Armenian
.NK19191
Papuan
Gorilla
-0.0056
-1.227
100500


Armenian
.Kurd_C2
Papuan
Gorilla
-0.0048
-1.044
100621


Armenian
.DMXX
Papuan
Gorilla
-0.0031
-0.673
98414


Armenian
Kurd_N
Papuan
Gorilla
-0.0019
-0.823
114164


Armenian
.Kurd_C1
Papuan
Gorilla
-0.0011
-0.231
100542


Armenian
.Znertu
Papuan
Gorilla
-0.0006
-0.13
100590


Armenian
.Zara
Papuan
Gorilla
0.0005
0.092
100658


Armenian
.Arbogan
Papuan
Gorilla
0.0031
0.67
98326


Armenian
.Jesus
Papuan
Gorilla
0.0104
2.202
100388





D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Georgian
.Kurd_SE
Papuan
Gorilla
-0.0181
-4.033
100610


Georgian
.Kurd_SE2
Papuan
Gorilla
-0.0107
-2.426
100409


Georgian
.Kurd_C3
Papuan
Gorilla
-0.0058
-1.28
100719


Georgian
.NK19191
Papuan
Gorilla
-0.0049
-1.073
100500


Georgian
.Kurd_C2
Papuan
Gorilla
-0.004
-0.865
100621


Georgian
.DMXX
Papuan
Gorilla
-0.0024
-0.515
98414


Georgian
Kurd_N
Papuan
Gorilla
-0.0011
-0.488
114164


Georgian
.Kurd_C1
Papuan
Gorilla
-0.0004
-0.08
100542


Georgian
.Znertu
Papuan
Gorilla
0
0.004
100590


Georgian
.Zara
Papuan
Gorilla
0.0012
0.233
100658


Georgian
.Arbogan
Papuan
Gorilla
0.0038
0.81
98326


Georgian
.Jesus
Papuan
Gorilla
0.011
2.295
100388

Kurd
01-31-2016, 08:15 AM
When compared to Iranians and Azeris, most of the Kurd samples were more Papuan shifted. Samples less Papuan shifted than Iranians and Azeris are shaded green.



D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Iranian
.Kurd_SE
Papuan
Gorilla
-0.0172
-3.696
100610


Iranian
.Kurd_SE2
Papuan
Gorilla
-0.0098
-2.22
100409


Iranian
.Kurd_C3
Papuan
Gorilla
-0.0049
-1.05
100719


Iranian
.NK19191
Papuan
Gorilla
-0.004
-0.888
100500


Iranian
.Kurd_C2
Papuan
Gorilla
-0.0032
-0.668
100621


Iranian
.DMXX
Papuan
Gorilla
-0.0015
-0.323
98414


Iranian
Kurd_N
Papuan
Gorilla
-0.0005
-0.233
114164


Iranian
.Kurd_C1
Papuan
Gorilla
0.0003
0.072
100542


Iranian
.Znertu
Papuan
Gorilla
0.0009
0.192
100590


Iranian
.Zara
Papuan
Gorilla
0.0019
0.385
100658


Iranian
.Arbogan
Papuan
Gorilla
0.0046
0.983
98326


Iranian
.Jesus
Papuan
Gorilla
0.0117
2.532
100388





D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Azeri
.Kurd_SE
Papuan
Gorilla
-0.0146
-2.871
61079


Azeri
.Kurd_SE2
Papuan
Gorilla
-0.0082
-1.568
61090


Azeri
.NK19191
Papuan
Gorilla
-0.0062
-1.175
61100


Azeri
.Kurd_C3
Papuan
Gorilla
-0.0058
-1.121
61156


Azeri
.Kurd_C2
Papuan
Gorilla
-0.004
-0.783
61093


Azeri
.Kurd_C1
Papuan
Gorilla
-0.0015
-0.28
61026


Azeri
.Zara
Papuan
Gorilla
0.0004
0.069
61137


Azeri
.DMXX
Papuan
Gorilla
0.0011
0.204
61180


Azeri
.Znertu
Papuan
Gorilla
0.0014
0.278
61113


Azeri
Kurd_N
Papuan
Gorilla
0.003
1.272
71776


Azeri
.Arbogan
Papuan
Gorilla
0.0063
1.207
61137


Azeri
.Jesus
Papuan
Gorilla
0.0165
3.075
60960

Kurd
01-31-2016, 08:29 AM
Compared to Turks, Kurd SE samples were more Papuan shifted than Turks, with samples Kurd C3, Kurd C2, and NK19191, sort of borderline. Samples less Papuan shifted than Turks are shaded green.

Compared to Balochis, Kurd SE samples were more Papuan shifted than Baloch, with samples Kurd C3, and NK19191, sort of borderline. Samples less Papuan shifted than Baloch are shaded green.

With Pashtuns, only Kurd SE sample was more Papuan shifted than Pashtun, with sample Kurd SE2 borderline. Samples less Papuan shifted than Pashtuns are shaded green.



D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Turkish
.Kurd_SE
Papuan
Gorilla
-0.01
-2.051
100610


Turkish
.Kurd_SE2
Papuan
Gorilla
-0.0031
-0.655
100409


Turkish
.Kurd_C3
Papuan
Gorilla
0.0022
0.451
100719


Turkish
.NK19191
Papuan
Gorilla
0.003
0.626
100500


Turkish
.Kurd_C2
Papuan
Gorilla
0.004
0.812
100621


Turkish
.DMXX
Papuan
Gorilla
0.0052
1.045
98414


Turkish
Kurd_N
Papuan
Gorilla
0.0061
2.179
114164


Turkish
.Kurd_C1
Papuan
Gorilla
0.0074
1.419
100542


Turkish
.Znertu
Papuan
Gorilla
0.008
1.644
100590


Turkish
.Zara
Papuan
Gorilla
0.0091
1.719
100658


Turkish
.Arbogan
Papuan
Gorilla
0.0114
2.305
98326


Turkish
.Jesus
Papuan
Gorilla
0.0188
3.759
100388





D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Balochi
.Kurd_SE
Papuan
Gorilla
-0.0086
-1.901
100610


Balochi
.Kurd_SE2
Papuan
Gorilla
-0.0014
-0.314
100409


Balochi
.Kurd_C3
Papuan
Gorilla
0.0036
0.799
100719


Balochi
.NK19191
Papuan
Gorilla
0.0044
0.958
100500


Balochi
.Kurd_C2
Papuan
Gorilla
0.0054
1.176
100621


Balochi
.DMXX
Papuan
Gorilla
0.0071
1.518
98414


Balochi
Kurd_N
Papuan
Gorilla
0.0079
3.352
114164


Balochi
.Kurd_C1
Papuan
Gorilla
0.0089
1.849
100542


Balochi
.Znertu
Papuan
Gorilla
0.0094
2.08
100590


Balochi
.Zara
Papuan
Gorilla
0.0105
2.129
100658


Balochi
.Arbogan
Papuan
Gorilla
0.0132
2.761
98326


Balochi
.Jesus
Papuan
Gorilla
0.0201
4.246
100388





D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Pashtun_Afghan
.Kurd_SE
Papuan
Gorilla
-0.0024
-0.477
97746


Pashtun_Afghan
.Kurd_SE2
Papuan
Gorilla
0.0043
0.896
97747


Pashtun_Afghan
.Kurd_C3
Papuan
Gorilla
0.0093
1.811
97745


Pashtun_Afghan
.NK19191
Papuan
Gorilla
0.0109
2.2
97751


Pashtun_Afghan
.Kurd_C2
Papuan
Gorilla
0.0115
2.213
97744


Pashtun_Afghan
.DMXX
Papuan
Gorilla
0.0139
2.675
97741


Pashtun_Afghan
.Kurd_C1
Papuan
Gorilla
0.0145
2.705
97743


Pashtun_Afghan
Kurd_N
Papuan
Gorilla
0.0151
4.877
97750


Pashtun_Afghan
.Znertu
Papuan
Gorilla
0.0154
2.995
97749


Pashtun_Afghan
.Zara
Papuan
Gorilla
0.0166
3.83
97748


Pashtun_Afghan
.Arbogan
Papuan
Gorilla
0.0195
3.755
97740


Pashtun_Afghan
.Jesus
Papuan
Gorilla
0.0264
5.138
97742

vettor
02-01-2016, 06:19 AM
Where do the Zaza Kurds from coastal caspian sea ( that is origins ) fit into this thread?

Kurd
02-01-2016, 05:03 PM
Where do the Zaza Kurds from coastal caspian sea ( that is origins ) fit into this thread?

I don't have any such samples, but I can't imagine they would be much different than Znertu, who I believe is a Kurd from NE Turkey

jesus
02-01-2016, 05:12 PM
Great work Kurd. Zara, Arbogan and myself are getting similar results which makes total sense since south eastern and south western Iran lack Turko Mongol admixture. The Papuan was kinda surprising, I expected that myself and Zara(IR baloch) would be closer to Papuans than other iranians/kurds.

Kurd
02-01-2016, 05:41 PM
Great work Kurd. Zara, Arbogan and myself are getting similar results which makes total sense since south eastern and south western Iran lack Turko Mongol admixture. The Papuan was kinda surprising, I expected that myself and Zara(IR baloch) would be closer to Papuans than other iranians/kurds.

Thanks, I am also surprised by some of the Dstats, which tend to ignore recent drift, and focus on the length of the drift path to the point of split of the left and right pops. With the Papuan stat, I noticed that shared E Eurasian drift with Papuans is making the score more favorable.

I also would like to mention that some shared drift as indicated by Dstats does not automatically translate into an admixture event. Dstats have to be confirmed with f3 stats for actual admixture events. I have run quite a few f3s which I haven't had the time to post. Many will become surprised by the results when I post them. I may post them under the ancient section since I included all members

For example, the case is looking weak for a direct admixture event between Kotias and other groups in the case of S Asians and most W Asians . I am trying to identify the Partially Kotias derived groups that participated in the actual mixing. I will hopefully get to post the tables today

Kurd
02-09-2016, 02:43 AM
Based on the latest results which I recently posted at http://www.anthrogenica.com/showthread.php?6423-Caucasian-Ancestry-of-W-amp-S-Asians&p=139548#post139548, I decided to further investigate some of the Kurd samples.

I start with Iraqi Kurd C3. Initially, I was planning to run some dstats comparing Kurd C3 with various modern W Asian and S European groups to determine which groups shared the most genetic drift with it.

At the last minute I decided to include some ancients in the analysis, thinking that the ancients would for sure come in behind some of the modern caucuses groups in terms of shared drift with Kurd C3. I was pleasantly surprised when the results showed that Kurd C3 shares the most drift with some of the ancients such as Andronovo, Potapovka, and Stuttgart, even more so than with Abkhasians, Chechens, and Georgians!!

I have highlighted the ancients purple. The table is sorted with the most shared drift on top, as indicated by the lowest -ve D scores. +ve scores indicate that Kurd C3 shares less drift with those than Bedouin B.

Naturally, my next step is to seek to obtain good fits for Kurd C3 using the ancients that Kurd C3 shares the most drift with, such as Potapovka, Andronovo, Stuttgart, Scythian IA, and others, using qpAdm.



L1
L2
R1
OUT
D
Z
SNPs


BedouinB
Potapovka
.Kurd_C3
Gorilla
-0.0347
-3.904
43676


BedouinB
Stuttgart
.Kurd_C3
Gorilla
-0.0331
-6.493
98978


BedouinB
Andronovo
.Kurd_C3
Gorilla
-0.0308
-6.498
100225


BedouinB
Sintashta_MBA
.Kurd_C3
Gorilla
-0.0301
-5.353
86412


BedouinB
Abkhasian
.Kurd_C3
Gorilla
-0.0286
-11.068
100719


BedouinB
Sardinian
.Kurd_C3
Gorilla
-0.0281
-12.049
100719


BedouinB
Greek_Coriell
.Kurd_C3
Gorilla
-0.028
-10.492
100719


BedouinB
Turkish_Trabzon
.Kurd_C3
Gorilla
-0.0279
-10.644
100719


BedouinB
LBK_EN
.Kurd_C3
Gorilla
-0.0277
-8.039
100422


BedouinB
Chechen
.Kurd_C3
Gorilla
-0.0269
-10.219
100719


BedouinB
Georgian
.Kurd_C3
Gorilla
-0.0268
-10.304
100719


BedouinB
Armenian
.Kurd_C3
Gorilla
-0.0266
-11.136
100719


BedouinB
.Kurd_Ezidi
.Kurd_C3
Gorilla
-0.0264
-5.112
99979


BedouinB
Srubnaya
.Kurd_C3
Gorilla
-0.026
-7.151
100317


BedouinB
Kurd_N
.Kurd_C3
Gorilla
-0.0258
-9.059
97850


BedouinB
Poltavka_outlier
.Kurd_C3
Gorilla
-0.0255
-3.322
62407


BedouinB
Lithuanian
.Kurd_C3
Gorilla
-0.0253
-9.182
100719


BedouinB
Adygei
.Kurd_C3
Gorilla
-0.0251
-10.434
100719


BedouinB
Hungary_EN
.Kurd_C3
Gorilla
-0.025
-6.689
95026


BedouinB
Gagauz
.Kurd_C3
Gorilla
-0.0247
-9.14
61156


BedouinB
Anatolia_Neolithic
.Kurd_C3
Gorilla
-0.0245
-8.92
100589


BedouinB
Hungary_BA
.Kurd_C3
Gorilla
-0.0243
-4.255
81062


BedouinB
.Kurd_C4
.Kurd_C3
Gorilla
-0.0242
-4.838
100416


BedouinB
Cypriot
.Kurd_C3
Gorilla
-0.0239
-9.824
100719


BedouinB
Greek_Comas
.Kurd_C3
Gorilla
-0.0238
-10.136
100719


BedouinB
Hungarian
.Kurd_C3
Gorilla
-0.0238
-9.907
100719


BedouinB
Lezgin
.Kurd_C3
Gorilla
-0.0233
-8.931
100719


BedouinB
Bulgarian
.Kurd_C3
Gorilla
-0.0231
-9.028
100719


BedouinB
North_Ossetian
.Kurd_C3
Gorilla
-0.023
-8.823
100719


BedouinB
.Mfa
.Kurd_C3
Gorilla
-0.0229
-4.562
99400


BedouinB
Italian_South
.Kurd_C3
Gorilla
-0.0225
-4.507
100242


BedouinB
Italian_WestSicilian
.Kurd_C3
Gorilla
-0.0224
-7.901
100719


BedouinB
Iraqi_Jew
.Kurd_C3
Gorilla
-0.0222
-8.106
100719


BedouinB
Balkar
.Kurd_C3
Gorilla
-0.022
-8.623
100719


BedouinB
Iranian_Jew
.Kurd_C3
Gorilla
-0.0216
-8.403
100719


BedouinB
Italian_EastSicilian
.Kurd_C3
Gorilla
-0.0216
-7.788
100719


BedouinB
Turkish_Kayseri
.Kurd_C3
Gorilla
-0.021
-8.68
100719

Kurd
02-09-2016, 02:44 AM
BedouinB
Hungary_CA
.Kurd_C3
Gorilla
-0.021
-3.156
74919


BedouinB
Scythian_IA
.Kurd_C3
Gorilla
-0.0207
-3.116
92013


BedouinB
Druze
.Kurd_C3
Gorilla
-0.0201
-9.938
100719


BedouinB
Samara_HG
.Kurd_C3
Gorilla
-0.0191
-2.341
55883


BedouinB
Kumyk
.Kurd_C3
Gorilla
-0.0187
-7.238
100719


BedouinB
Turkish_Jew
.Kurd_C3
Gorilla
-0.0186
-7.603
100719


BedouinB
Azeri
.Kurd_C3
Gorilla
-0.0185
-6.914
61156


BedouinB
Turkish_Adana
.Kurd_C3
Gorilla
-0.0182
-7.565
100719


BedouinB
Yamnaya_Kalmykia
.Kurd_C3
Gorilla
-0.0176
-3.842
97471


BedouinB
Yamnaya_Samara
.Kurd_C3
Gorilla
-0.0173
-4.677
100282


BedouinB
Iranian
.Kurd_C3
Gorilla
-0.0172
-6.921
100719


BedouinB
Samara_Eneolithic
.Kurd_C3
Gorilla
-0.0165
-2.557
71091


BedouinB
Afanasievo
.Kurd_C3
Gorilla
-0.0153
-2.929
97979


BedouinB
Satsurbila
.Kurd_C3
Gorilla
-0.0153
-2.086
70851


BedouinB
Turkish_Balikesir
.Kurd_C3
Gorilla
-0.0151
-4.902
100719


BedouinB
Turkish_Aydin
.Kurd_C3
Gorilla
-0.0144
-5.48
100719


BedouinB
Poltavka
.Kurd_C3
Gorilla
-0.0143
-3.129
99294


BedouinB
Tajik_Pomiri
.Kurd_C3
Gorilla
-0.0131
-4.555
100719


BedouinB
Srubnaya_Outlier
.Kurd_C3
Gorilla
-0.0118
-1.481
52892


BedouinB
Pashtun_Afghan
.Kurd_C3
Gorilla
-0.0116
-3.294
97798


BedouinB
Karelia_HG
.Kurd_C3
Gorilla
-0.0086
-1.325
96805


BedouinB
Hungary_HG
.Kurd_C3
Gorilla
-0.0085
-1.187
72238


BedouinB
Kotias
.Kurd_C3
Gorilla
-0.0073
-1.322
85163


BedouinB
Turkmen
.Kurd_C3
Gorilla
-0.0017
-0.59
100719


BedouinB
Loschbour
.Kurd_C3
Gorilla
-0.0014
-0.24
99710


BedouinB
Bashkir
.Kurd_C3
Gorilla
-0.0004
-0.131
61156


BedouinB
Syrian
.Kurd_C3
Gorilla
-0.0004
-0.158
100719


BedouinB
Jordanian
.Kurd_C3
Gorilla
0.0017
0.685
100719


BedouinB
Kostenki14_UP
.Kurd_C3
Gorilla
0.0256
3.686
93132


BedouinB
MA1
.Kurd_C3
Gorilla
0.0261
3.456
72056


BedouinB
Paniyas
.Kurd_C3
Gorilla
0.0353
6.503
41018


BedouinB
Dai
.Kurd_C3
Gorilla
0.04
9.771
100719


BedouinB
Ust_Ishim
.Kurd_C3
Gorilla
0.0768
13.071
100426

Kurd
02-09-2016, 04:13 AM
The Dstats from above paid off as they helped me narrow the search, for the steppe pop that gives the best fit for Kurd C3. It had never occurred to me to use Potapovka. Using the 2 ancients that Kurd C3 shares the most drift with Stuttgart and Potapovka, and adding Kotias for CHG immediately gave a very nice fit as shown below:



POPULATION
Kurd_C3
Chisq
Tail Probability


Stuttgart
47.80%
0.235
97.20%


Potapovka
22.60%




Kotias CHG
29.60%





Here is the raw data:

parameter file: parqpAdm
### THE INPUT PARAMETERS
##PARAMETER NAME: VALUE
indivname: MASTER15.ind
snpname: MASTER15.snp
genotypename: MASTER15.geno
popleft: pleftx
popright: pright
maxrank: 4
## qpAdm version: 200

left pops:
.Kurd_C3
Stuttgart
Potapovka
Kotias

right pops:
Han
Atayal
MbutiPygmy
Karitiana
Papuan
Ulchi

0 .Kurd_C3 1
1 Stuttgart 1
2 Potapovka 1
3 Kotias 1
4 Han 33
5 Atayal 9
6 MbutiPygmy 10
7 Karitiana 12
8 Papuan 14
9 Ulchi 25
jackknife block size: 0.050
snps: 169225 indivs: 107
number of blocks for block jackknife: 705
dof (jackknife): 619.251
numsnps used: 41257
codimension 1
f4info:
f4rank: 2 dof: 3 chisq: 0.235 tail: 0.971781887 dofdiff: 5 chisqdiff: -0.235 taildiff: 1
B:
scale 1.000 1.000
Atayal 0.269 0.103
MbutiPygmy 1.667 0.967
Karitiana -1.389 0.518
Papuan 0.396 -1.354
Ulchi -0.250 1.398
A:
scale 1324.621 4591.753
Stuttgart 0.225 -1.032
Potapovka -1.522 0.465
Kotias 0.796 1.311


full rank 1
f4info:
f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 3 chisqdiff: 0.235 taildiff: 0.971781887
B:
scale 1.000 1.000 1.000
Atayal 0.232 0.331 -1.822
MbutiPygmy 1.666 0.929 0.348
Karitiana -1.398 0.535 0.172
Papuan 0.404 -1.430 0.758
Ulchi -0.229 1.303 0.977
A:
scale 1324.011 4426.000 14233.856
Stuttgart 0.201 -0.837 -1.503
Potapovka -1.537 0.592 -0.535
Kotias 0.773 1.396 -0.674


best coefficients: 0.478 0.226 0.296
ssres:
0.000140234 -0.000021852 0.000028251 -0.000109568 -0.000024188
1.712425988 -0.266845523 0.344977536 -1.337960838 -0.295367566

Jackknife mean: 0.466256188 0.224641417 0.309102394
std. errors: 0.326 0.169 0.277

error covariance (* 1000000)
105979 -28892 -77087
-28892 28673 219
-77087 219 76869


fixed pat wt dof chisq tail prob
000 0 3 0.235 0.971782 0.478 0.226 0.296
001 1 4 1.211 0.876287 0.781 0.219 0.000
010 1 4 1.862 0.761124 0.736 -0.000 0.264
100 1 4 2.082 0.720649 0.000 0.357 0.643
011 2 5 2.362 0.797143 1.000 -0.000 0.000
101 2 5 10.804 0.055416 0.000 1.000 0.000
110 2 5 5.852 0.320858 0.000 -0.000 1.000
best pat: 000 0.971782 - -
best pat: 001 0.876287 chi(nested): 0.976 p-value for nested model: 0.323148
best pat: 011 0.797143 chi(nested): 1.151 p-value for nested model: 0.28337

Kurd
02-09-2016, 04:31 AM
The Dstats from above paid off as they helped me narrow the search, for the steppe pop that gives the best fit for Kurd C3. It had never occurred to me to use Potapovka. Using the 2 ancients that Kurd C3 shares the most drift with Stuttgart and Potapovka, and adding Kotias for CHG immediately gave a very nice fit as shown below:



POPULATION
Kurd_C3
Chisq
Tail Probability


Stuttgart
47.80%
0.235
97.20%


Potapovka
22.60%




Kotias CHG
29.60%







Using LBK in lieu of Stuttgart produced another good fit, although not quite as good as above:



POPULATION
Kurd_C3
Chisq
Tail Probability


LBK_EN
50.00%
0.35
95.00%


Potapovka
32.20%






Kotias CHG
17.80%







The Potapovka culture is 4000 to 4500 year old steppe culture, centered on the Samara bend in the middle Volga region, extending east into the Samara River valley.

It seems connected with the earlier stages of the Andronovo culture , and genetically to the Poltavka culture, with influences from the more northerly Abashevo culture. It can be considered as descended from the earlier Khvalynsk culture and Samara culture, both of which occupied this same area.

The recovered remains were Y-DNA R1a1a1b2, and R1a1a1.

Kurd
02-09-2016, 01:26 PM
Potapovka produced good fits for other Kurds, although not as good as for Kurd C3, indicating somewhat divergent histories among Kurds. Remember, the lower the chisq value and the higher the tail prob, the better the fit.

MFA:


POPULATION
Mfa
Chisq
Tail Probability


Stuttgart
51.30%
0.41
93.80%


Potapovka
45.90%






Kotias CHG
2.80%








Kurd C1



POPULATION
Kurd_C1
Chisq
Tail Probability


Stuttgart
38.00%
0.4
94.10%


Potapovka
14.70%






Kotias CHG
47.30%








Kurd C2. Seems to always get higher steppe percentages.



POPULATION
Kurd_C2
Chisq
Tail Probability


Stuttgart
43.20%
1.85
60.40%


Potapovka
42.30%






Kotias CHG
14.50%









POPULATION
Kurd_C2
Chisq
Tail Probability


Kotias CHG
69.90%
0.903
92.42%


MOTA
0.80%






Scythian IA
29.30%








Kurd Ezidi



POPULATION
Kurd Ezidi
Chisq
Tail Probability


Stuttgart
52.80%
0.7
87.30%


Potapovka
13.20%






Kotias CHG
34.00%








Znertu



POPULATION
Znertu
Chisq
Tail Probability


Stuttgart
84.60%
2.8
42.40%


Potapovka
8.50%






Kotias CHG
6.90%








Arbogan



POPULATION
Arbogan
Chisq
Tail Probability


Stuttgart
12.50%
1.2
75.20%


Potapovka
21.30%






Kotias CHG
66.30%









POPULATION
Arbogan
Chisq
Tail Probability


Kotias CHG
70.30%
1.198
87.83%


MOTA
2.40%






Scythian IA
27.30%








I did not have time to model all Kurds using Scythian

Kurd
02-09-2016, 02:22 PM
Recognizing that the amount of Andronovo may vary from one Kurd sample to the next, I will be using all the Kurd samples.

With Iraqi Kurd C3, the fit was really nice with 36% Andronovo.




Kurd_C3
%
Chisq
Tail Prob


Saudi
51.00%
0.619
89.20%


Andronovo
36.00%




Paniya
13.00%






EDIT: Added raw data

codimension 1
f4info:
f4rank: 2 dof: 3 chisq: 0.619 tail: 0.892136473 dofdiff: 5 chisqdiff: -0.619 taildiff: 1
B:
scale 1.000 1.000
Atayal_Coriell 0.023 0.105
MbutiPygmy 2.131 -0.652
Karitiana 0.662 1.964
Papuan -0.089 -0.702
Ulchi 0.104 0.463
A:
scale 460.124 1226.819
Saudi 0.578 -0.869
Andronovo.SG -0.237 1.411
Paniyas -1.616 -0.504


full rank 1
f4info:
f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 3 chisqdiff: 0.619 taildiff: 0.892136473
B:
scale 1.000 1.000 1.000
Atayal_Coriell -0.012 0.129 1.864
MbutiPygmy 2.130 -0.663 0.041
Karitiana 0.666 1.957 -0.139
Papuan -0.101 -0.701 0.627
Ulchi 0.086 0.472 1.054
A:
scale 461.255 1223.937 10706.874
Saudi 0.592 -0.885 1.366
Andronovo.SG -0.223 1.396 1.001
Paniyas -1.612 -0.519 0.363


best coefficients: 0.510 0.360 0.130
ssres:
0.000190389 0.000070547 -0.000020956 0.000070751 0.000105058
1.772201210 0.656670904 -0.195062106 0.658577614 0.977912315

Jackknife mean: 0.513176003 0.355626807 0.131197190
std. errors: 0.093 0.121 0.068

error covariance (* 1000000 (tel:1000000))
8628 -9304 676
-9304 14564 -5260
676 -5260 4584


fixed pat wt dof chisq tail prob
000 0 3 0.619 0.892136 0.510 0.360 0.130
001 1 4 3.993 0.406939 0.480 0.520 0.000
010 1 4 10.235 0.0366525 0.737 -0.000 0.263
100 1 4 19.154 0.000732934 0.000 0.988 0.012
011 2 5 34.778 1.66605e-06 1.000 -0.000 -0.000
101 2 5 19.170 0.00178652 0.000 1.000 -0.000
110 2 5 163.597 0 0.000 -0.000 1.000
best pat: 000 0.892136 - -
best pat: 001 0.406939 chi(nested): 3.374 p-value for nested model: 0.0662165
best pat: 101 0.00178652 chi(nested): 15.177 p-value for nested model: 9.78693e-05

Fit using Andronovo

Kurd
02-09-2016, 02:23 PM
Znertu
%
Chisq
Tail Prob


Syrian
46.10%
1.087
78.00%


Andronovo
44.00%






Paniya
9.90%
















Arbogan
%
Chisq
Tail Prob


Saudi
57.80%
2.34
50.50%


Andronovo
37.50%






Paniya
4.70%
















Kurd_SE
%
Chisq
Tail Prob


Saudi
22.30%
4.49
21.20%


Andronovo
57.10%






Ho
20.60%
















Kurd_C1
%
Chisq
Tail Prob


Saudi
64.10%
1.639
65.00%


Andronovo
25.40%






Paniya
10.60%








Using Andronovo

Kurd
05-15-2016, 02:02 AM
MODELING OF KURD C3 USING QPADM


NO
SAMPLE
Andronovo2
Scythian_IA
Chechen
Saudi
Mongola
CHISQ
TAIL PROBABILITY


1
.KURD_C3
23%
27%
0%
50%
0%
0.170
98%


2
.KURD_C3
24%
24%
0%
51%
1%
0.161
92%


3
.KURD_C3
0%
43%
0%
57%
0%
0.984
91%


4
.KURD_C3
42%
0%
0%
53%
5%
0.634
89%


5
.KURD_C3
0%
30%
25%
45%
0%
0.705
87%


6
.KURD_C3
56%
0%
0%
44%
0%
2.127
71%


7
.KURD_C3
0%
0%
77%
23%
0%
2.336
67%


8
.KURD_C3
0%
0%
63%
34%
3%
1.584
66%


9
.KURD_C3
39%
0%
24%
37%
0%
2.096
55%


10
.KURD_C3
0%
0%
100%
0%
0%
5.687
34%


11
.KURD_C3
0%
30%
25%
45%
0%
4.575
21%


12
.KURD_C3
100%
0%
0%
0%
0%
11.884
4%


13
.KURD_C3
0%
0%
0%
88%
12%
10.690
3%


14
.KURD_C3
0%
100%
0%
0%
0%
30.277
0%


15
.KURD_C3
0%
0%
0%
100%
0%
37.383
0%


16
.KURD_C3
0%
0%
0%
0%
100%
1164.299
0%

Kurd
05-15-2016, 05:06 AM
Raw data for Kurd C3


0 .Kurd_C3 1
1 Andronovo2 1
2 Scythian_IA 1
3 Chechen 9
4 Saudi 8
5 Mongola 6
6 MbutiPygmy 10
7 Karitiana 12
8 Onge 9
9 Han 33
10 Yoruba 70
11 Ami 10
jackknife block size: 0.05
snps: 531984 indivs: 170
number of blocks for block jackknife: 711
dof (jackknife): 617.439
numsnps used: 26265
codimension 1
f4info:
f4rank: 4 dof: 1 chisq: 0.031 tail: 0.860715358 dofdiff: 3 chisqdiff: -0.031 taildiff: 1
B:
scale 1 1 1 1
Karitiana 0.93 1.811 0.472 -0.42
Onge 0.671 0.681 -1.258 0.863
Han 1.378 -0.857 -0.323 0.876
Yoruba -0.013 0.125 1.61 1.473
Ami 1.336 -0.711 0.705 -1.069
A:
scale 129.572 1397.408 5989.508 10803.084
Andronovo2 0.258 1.447 -1.306 0.606
Scythian_IA 0.539 0.948 1.516 -0.734
Chechen 0.067 0.385 -0.866 -1.787
Saudi -0.42 -1.19 -0.37 -0.92
Mongola 2.112 -0.665 -0.33 0.23


full rank 1
f4info:
f4rank: 5 dof: 0 chisq: 0 tail: 1 dofdiff: 1 chisqdiff: 0.031 taildiff: 0.860715358
B:
scale 1 1 1 1 1
Karitiana 0.93 1.82 0.455 -0.523 -0.585
Onge 0.669 0.661 -1.239 1.075 1.195
Han 1.381 -0.838 -0.384 0.691 -1.329
Yoruba -0.013 0.119 1.612 1.527 0.239
Ami 1.334 -0.731 0.717 -0.874 1.186
A:
scale 129.876 1397.929 6061.538 9870.605 60793.47
Andronovo2 0.252 1.446 -1.237 0.254 -1.118
Scythian_IA 0.535 0.947 1.608 -0.906 -0.64
Chechen 0.064 0.385 -0.829 -1.76 1.03
Saudi -0.425 -1.193 -0.324 -1.007 -1.509
Mongola 2.113 -0.664 -0.3 0.05 -0.039


best coefficients: 0.386 0.306 -0.308 0.61 0.006
ssres:
-0.000006567 -0.00010853 -0.00003917 -0.000026822 -0.000061785
-0.109781248 -1.814232426 -0.654791417 -0.448370562 -1.032821777

Jackknife mean: 0.231797889 0.233287332 0.007679533 0.517723655 0.009511592
std. errors: 0.546 0.418 0.95 0.337 0.069

error covariance (* 1000000)
298314 -13085 -427419 131282 10908
-13085 174411 -183398 44289 -22218
-427419 -183398 902345 -293646 2118
131282 44289 -293646 113640 4435
10908 -22218 2118 4435 4757


fixed pat wt dof chisq tail prob
0 0 1 0.031 0 0.386 0.306 -0.308 0.61 0.006 infeasible
1 1 2 0.038 0 0.374 0.334 -0.313 0.605 0 infeasible
10 1 2 2.576 0 0.374 0.334 -0.313 0.605 0 infeasible
100 1 2 0.161 0.922805 0.241 0.244 0 0.509 0.006
1000 1 2 0.608 0 0.512 0 -0.146 0.584 0.049 infeasible
10000 1 2 0.639 0 0 0.38 0.18 0.456 -0.016 infeasible
11 2 3 2.971 0 -0.66 0.041 1.62 0 0 infeasible
101 2 3 0.17 0.982256 0.225 0.273 0 0.502 0
110 2 3 3.536 0 -4.635 6.623 0 0 -0.988 infeasible
1001 2 3 2.096 0.552652 0.388 0 0.238 0.374 0
1010 2 3 2.995 0 -0.589 0 1.59 0 -0.001 infeasible
1100 2 3 0.634 0.888619 0.42 0 0 0.534 0.045
10001 2 3 0.705 0.872006 0 0.297 0.251 0.452 0
10010 2 3 4.575 0.205671 0 0.297 0.251 0.452 0
10100 2 3 0.733 0 0 0.509 0 0.519 -0.028 infeasible
11000 2 3 1.584 0.663013 0 0 0.627 0.342 0.031
111 3 4 8.222 0 1.78 -0.78 0 0 0 infeasible
1011 3 4 2.996 0 1.78 -0.78 0 0 0 infeasible
1101 3 4 2.127 0.712434 0.561 0 0 0.439 0
1110 3 4 10.36 0 1.05 0 0 0 -0.05 infeasible
10011 3 4 4.945 0 0 -0.133 1.133 0 0 infeasible
10101 3 4 0.984 0.912232 0 0.429 0 0.571 0
10110 3 4 6.831 0 0 1.222 0 0 -0.222 infeasible
11001 3 4 2.336 0.674258 0 0 0.766 0.234 0
11010 3 4 5.184 0 0 0 1.018 0 -0.018 infeasible
11100 3 4 10.69 0.0302839 0 0 0 0.882 0.118
1111 4 5 11.884 0.0364179 1 0 0 0 0
10111 4 5 30.277 1.30E-05 0 1 0 0 0
11011 4 5 5.687 0.337843 0 0 1 0 0
11101 4 5 37.383 5.02E-07 0 0 0 1 0
11110 4 5 1164.299 0 0 0 0 0 1
best pat: 0 0 - -
best pat: 100 0.922805 chi(nested): 0.13 p-value for nested model: 0.718549
best pat: 101 0.982256 chi(nested): 0.009 p-value for nested model: 0.922421
best pat: 10101 0.912232 chi(nested): 0.814 p-value for nested model: 0.367026
best pat: 11011 0.337843 chi(nested): 4.703 p-value for nested model: 0.0301022

Kurd
05-15-2016, 05:07 AM
Raw data for Kurd C2


0 .Kurd_C2 1
1 Andronovo2 1
2 Scythian_IA 1
3 Chechen 9
4 Saudi 8
5 Mongola 6
6 MbutiPygmy 10
7 Karitiana 12
8 Onge 9
9 Han 33
10 Yoruba 70
11 Ami 10
jackknife block size: 0.05
snps: 531522 indivs: 170
number of blocks for block jackknife: 711
dof (jackknife): 617.364
numsnps used: 26246
codimension 1
f4info:
f4rank: 4 dof: 1 chisq: 0.314 tail: 0.575477791 dofdiff: 3 chisqdiff: -0.314 taildiff: 1
B:
scale 1 1 1 1
Karitiana 0.913 1.812 0.848 -0.318
Onge 0.65 0.688 -1.437 0.145
Han 1.387 -0.864 -0.187 0.138
Yoruba -0.005 0.165 0.656 2.114
Ami 1.349 -0.684 1.323 -0.624
A:
scale 134.019 1432.404 5642.422 11457.704
Andronovo2 0.2 1.196 -1.059 -0.008
Scythian_IA 0.484 0.818 1.773 1.236
Chechen -0.012 0.113 0.259 -1.832
Saudi -0.511 -1.552 0.657 -0.223
Mongola 2.113 -0.691 -0.486 0.258


full rank 1
f4info:
f4rank: 5 dof: 0 chisq: 0 tail: 1 dofdiff: 1 chisqdiff: 0.314 taildiff: 0.575477791
B:
scale 1 1 1 1 1
Karitiana 0.914 1.825 -0.766 -0.466 0.178
Onge 0.644 0.675 1.873 0.667 -0.422
Han 1.394 -0.818 0.272 -0.346 1.481
Yoruba -0.004 0.187 -0.629 2.021 0.695
Ami 1.344 -0.716 -0.661 0.362 -1.454
A:
scale 135.032 1422.193 5074.308 9543.095 22993.168
Andronovo2 0.175 1.217 0.304 -1.093 1.483
Scythian_IA 0.48 0.829 -1.943 0.552 0.068
Chechen -0.018 0.112 -0.501 -1.758 -1.283
Saudi -0.522 -1.54 -0.921 -0.608 1.066
Mongola 2.113 -0.668 0.185 -0.2 0.114


best coefficients: 0.434 0.118 0.034 0.388 0.026
ssres:
0.000028284 -0.000307077 -0.000102315 -0.000059171 -0.000193376
0.165256539 -1.794207995 -0.597812521 -0.345728687 -1.129867166

Jackknife mean: 0.209829435 0.141781933 0.349807335 0.284832317 0.013748979
std. errors: 0.697 0.426 1.111 0.38 0.07

error covariance (* 1000000)
485741 -40905 -672195 207457 19903
-40905 181699 -156180 38993 -23608
-672195 -156180 1233929 -397750 -7804
207457 38993 -397750 144703 6597
19903 -23608 -7804 6597 4912


fixed pat wt dof chisq tail prob
0 0 1 0.314 0.575478 0.434 0.118 0.034 0.388 0.026
1 1 2 0.473 0.789428 0.376 0.247 0.006 0.372 0
10 1 2 1.605 0.44823 0.376 0.247 0.006 0.372 0
100 1 2 0.315 0.854369 0.452 0.123 0 0.399 0.026
1000 1 2 0.402 0.818066 0.476 0 0.114 0.369 0.042
10000 1 2 0.95 0.621923 0 0.137 0.662 0.192 0.009
11 2 3 1.634 0 -0.157 0.052 1.105 0 0 infeasible
101 2 3 0.473 0.924798 0.378 0.248 0 0.374 0
110 2 3 3.68 0 14.747 -16.02 0 0 2.273 infeasible
1001 2 3 1.548 0.67135 0.257 0 0.596 0.147 0
1010 2 3 1.606 0 -0.139 0 1.129 0 0.01 infeasible
1100 2 3 0.415 0.937135 0.548 0 0 0.407 0.045
10001 2 3 0.975 0.80741 0 0.189 0.614 0.197 0
10010 2 3 1.71 0.6348 0 0.189 0.614 0.197 0
10100 2 3 1.972 0 0 0.635 0 0.408 -0.044 infeasible
11000 2 3 1.073 0.78359 0 0 0.825 0.149 0.026
111 3 4 5.497 0 1.3 -0.3 0 0 0 infeasible
1011 3 4 1.725 0 -0.103 0 1.103 0 0 infeasible
1101 3 4 1.761 0.779679 0.694 0 0 0.306 0
1110 3 4 6.052 0 1.022 0 0 0 -0.022 infeasible
10011 3 4 1.799 0.772667 0 0.019 0.981 0 0
10101 3 4 2.552 0.635275 0 0.508 0 0.492 0
10110 3 4 5.795 0 0 1.193 0 0 -0.193 infeasible
11001 3 4 1.626 0.804055 0 0 0.942 0.058 0
11010 3 4 1.757 0.780376 0 0 0.994 0 0.006
11100 3 4 17.297 0.00169243 0 0 0 0.867 0.133
1111 4 5 6.372 0.271717 1 0 0 0 0
10111 4 5 23.464 0.00027512 0 1 0 0 0
11011 4 5 1.815 0.874114 0 0 1 0 0
11101 4 5 51.47 6.93E-10 0 0 0 1 0
11110 4 5 1100.123 0 0 0 0 0 1
best pat: 0 0.575478 - -
best pat: 100 0.854369 chi(nested): 0.001 p-value for nested model: 0.972582
best pat: 1100 0.937135 chi(nested): 0.1 p-value for nested model: 0.75162
best pat: 11001 0.804055 chi(nested): 1.211 p-value for nested model: 0.271064
best pat: 11011 0.874114 chi(nested): 0.189 p-value for nested model: 0.664068

Kurd
05-15-2016, 05:07 AM
KURD C2



MODELING OF KURD C2 USING QPADM


NO
SAMPLE
Andronovo2
Scythian_IA
Chechen
Saudi
Mongola
CHISQ
TAIL PROBABILITY


1
KURD C2
55%
0%
0%
41%
5%
0.415
94%


2
KURD C2
38%
25%
0%
37%
0%
0.473
92%


3
KURD C2
0%
0%
100%
0%
0%
1.815
87%


4
KURD C2
45%
12%
0%
40%
3%
0.315
85%


5
KURD C2
48%
0%
11%
37%
4%
0.402
82%


6
KURD C2
0%
19%
61%
20%
0%
0.975
81%


7
KURD C2
0%
0%
94%
6%
0%
1.626
80%


8
KURD C2
38%
25%
1%
37%
0%
0.473
79%


9
KURD C2
0%
0%
83%
15%
3%
1.073
78%


10
KURD C2
0%
0%
99%
0%
1%
1.757
78%


11
KURD C2
69%
0%
0%
31%
0%
1.761
78%


12
KURD C2
0%
2%
98%
0%
0%
1.799
77%


13
KURD C2
26%
0%
60%
15%
0%
1.548
67%


14
KURD C2
0%
51%
0%
49%
0%
2.552
64%


15
KURD C2
0%
19%
61%
20%
0%
1.71
63%


16
KURD C2
0%
14%
66%
19%
1%
0.95
62%


17
KURD C2
43%
12%
3%
39%
3%
0.314
58%


18
KURD C2
38%
25%
1%
37%
0%
1.605
45%


19
KURD C2
100%
0%
0%
0%
0%
6.372
27%


20
KURD C2
0%
0%
0%
87%
13%
17.297
0%


21
KURD C2
0%
100%
0%
0%
0%
23.464
0%


22
KURD C2
0%
0%
0%
100%
0%
51.47
0%


23
KURD C2
0%
0%
0%
0%
100%
1100.123
0%

Halgurd
05-15-2016, 01:47 PM
Hi Kurd, sorry to bother you but could you do the above for me too?

sciencediver
05-15-2016, 02:20 PM
MODELING OF KURD C3 USING QPADM


NO
SAMPLE
Andronovo2
Scythian_IA
Chechen
Saudi
Mongola
CHISQ
TAIL PROBABILITY


1
.KURD_C3
23%
27%
0%
50%
0%
0.170
98%


2
.KURD_C3
24%
24%
0%
51%
1%
0.161
92%


3
.KURD_C3
0%
43%
0%
57%
0%
0.984
91%


4
.KURD_C3
42%
0%
0%
53%
5%
0.634
89%


5
.KURD_C3
0%
30%
25%
45%
0%
0.705
87%


6
.KURD_C3
56%
0%
0%
44%
0%
2.127
71%


7
.KURD_C3
0%
0%
77%
23%
0%
2.336
67%


8
.KURD_C3
0%
0%
63%
34%
3%
1.584
66%


9
.KURD_C3
39%
0%
24%
37%
0%
2.096
55%


10
.KURD_C3
0%
0%
100%
0%
0%
5.687
34%


11
.KURD_C3
0%
30%
25%
45%
0%
4.575
21%


12
.KURD_C3
100%
0%
0%
0%
0%
11.884
4%


13
.KURD_C3
0%
0%
0%
88%
12%
10.690
3%


14
.KURD_C3
0%
100%
0%
0%
0%
30.277
0%


15
.KURD_C3
0%
0%
0%
100%
0%
37.383
0%


16
.KURD_C3
0%
0%
0%
0%
100%
1164.299
0%




Very interesting!

sciencediver
05-15-2016, 02:30 PM
When compared to Iranians and Azeris, most of the Kurd samples were more Papuan shifted. Samples less Papuan shifted than Iranians and Azeris are shaded green.



D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Iranian
.Kurd_SE
Papuan
Gorilla
-0.0172
-3.696
100610


Iranian
.Kurd_SE2
Papuan
Gorilla
-0.0098
-2.22
100409


Iranian
.Kurd_C3
Papuan
Gorilla
-0.0049
-1.05
100719


Iranian
.NK19191
Papuan
Gorilla
-0.004
-0.888
100500


Iranian
.Kurd_C2
Papuan
Gorilla
-0.0032
-0.668
100621


Iranian
.DMXX
Papuan
Gorilla
-0.0015
-0.323
98414


Iranian
Kurd_N
Papuan
Gorilla
-0.0005
-0.233
114164


Iranian
.Kurd_C1
Papuan
Gorilla
0.0003
0.072
100542


Iranian
.Znertu
Papuan
Gorilla
0.0009
0.192
100590


Iranian
.Zara
Papuan
Gorilla
0.0019
0.385
100658


Iranian
.Arbogan
Papuan
Gorilla
0.0046
0.983
98326


Iranian
.Jesus
Papuan
Gorilla
0.0117
2.532
100388





D ( X, Kurd, Papuan, Gorilla )


L1
L2
R1
OUT
D
Z
SNPs


Azeri
.Kurd_SE
Papuan
Gorilla
-0.0146
-2.871
61079


Azeri
.Kurd_SE2
Papuan
Gorilla
-0.0082
-1.568
61090


Azeri
.NK19191
Papuan
Gorilla
-0.0062
-1.175
61100


Azeri
.Kurd_C3
Papuan
Gorilla
-0.0058
-1.121
61156


Azeri
.Kurd_C2
Papuan
Gorilla
-0.004
-0.783
61093


Azeri
.Kurd_C1
Papuan
Gorilla
-0.0015
-0.28
61026


Azeri
.Zara
Papuan
Gorilla
0.0004
0.069
61137


Azeri
.DMXX
Papuan
Gorilla
0.0011
0.204
61180


Azeri
.Znertu
Papuan
Gorilla
0.0014
0.278
61113


Azeri
Kurd_N
Papuan
Gorilla
0.003
1.272
71776


Azeri
.Arbogan
Papuan
Gorilla
0.0063
1.207
61137


Azeri
.Jesus
Papuan
Gorilla
0.0165
3.075
60960



I wonder why Kurds would be more Papuan shifted than Iranians, considering that Iran has about 10-15% recent South Asian admixture. The only possible explanation would be that the Ancestral South Asian in Kurds is much more ancient. What do you think?

Kurd
05-15-2016, 02:30 PM
Hi Kurd, sorry to bother you but could you do the above for me too?

Sorry, did not have time to make it pretty, but you can copy and paste the data shown in bold into excel, use text to column feature, and sort, and repost if you like.

You were lucky, you got 3 excellent fits shown below:



CHISQ
TAIL PROB
Andronovo 503
Scythian IA
Chechen
Saudi
Mongolian


0.019
99.07%
9.50%
0.00%
63.30%
26.90%
0.20%


0.022
99.92%
8.50%
0.00%
65.70%
25.80%
0.00%


0.067
99.95%
0.00%
0.00%
77.00%
23.00%
0.00%



0 .Halgurd 1
1 Andronovo2 1
2 Scythian_IA 1
3 Chechen 9
4 Saudi 8
5 Mongola 6
6 MbutiPygmy 10
7 Karitiana 12
8 Onge 9
9 Han 33
10 Yoruba 70
11 Ami 10
jackknife block size: 0.050
snps: 531341 indivs: 170
number of blocks for block jackknife: 711
dof (jackknife): 617.447
numsnps used: 26215
codimension 1
f4info:
f4rank: 4 dof: 1 chisq: 0.000 tail: 0.985489588 dofdiff: 3 chisqdiff: -0.000 taildiff: 1
B:
scale 1.000 1.000 1.000 1.000
Karitiana 0.929 1.820 0.470 -0.458
Onge 0.665 0.643 -1.446 0.734
Han 1.385 -0.823 -0.263 0.940
Yoruba 0.017 0.227 1.483 1.491
Ami 1.332 -0.739 0.647 -1.070
A:
scale 126.774 1398.345 5202.780 13555.271
Andronovo2 0.290 1.412 -0.745 1.496
Scythian_IA 0.570 0.958 1.936 -0.038
Chechen 0.110 0.330 -0.055 -0.793
Saudi -0.366 -1.230 0.785 1.459
Mongola 2.108 -0.684 -0.274 0.065


full rank 1
f4info:
f4rank: 5 dof: 0 chisq: 0.000 tail: 1 dofdiff: 1 chisqdiff: 0.000 taildiff: 0.985489588
B:
scale 1.000 1.000 1.000 1.000 1.000
Karitiana 0.929 1.820 0.467 -0.461 -0.628
Onge 0.665 0.644 -1.441 0.762 1.219
Han 1.385 -0.824 -0.267 0.925 -1.215
Yoruba 0.017 0.228 1.487 1.506 0.685
Ami 1.333 -0.737 0.652 -1.040 1.083
A:
scale 126.733 1398.379 5212.277 13401.514 538304.803
Andronovo2 0.291 1.412 -0.754 1.507 0.286
Scythian_IA 0.570 0.958 1.934 -0.014 -0.130
Chechen 0.110 0.331 -0.062 -0.755 2.075
Saudi -0.365 -1.230 0.780 1.466 0.773
Mongola 2.108 -0.684 -0.281 0.090 0.021


best coefficients: 0.103 -0.045 0.675 0.260 0.008
ssres:
0.000000827 0.000010149 0.000004324 0.000003269 0.000005867
0.142942504 1.753573550 0.747137315 0.564768427 1.013592474

Jackknife mean: 0.112407688 -0.030050606 0.652726269 0.259027957 0.005888692
std. errors: 0.449 0.336 0.766 0.285 0.059

error covariance (* 1000000)
201699 -20357 -282982 91205 10435
-20357 112707 -100218 22938 -15070
-282982 -100218 587091 -200123 -3766
91205 22938 -200123 81047 4933
10435 -15070 -3766 4933 3467


fixed pat wt dof chisq tail prob
00000 0 1 0.000 0 0.103 -0.045 0.675 0.260 0.008 infeasible
00001 1 2 0.019 0 0.079 -0.010 0.684 0.248 0.000 infeasible
00010 1 2 0.677 0 0.079 -0.010 0.684 0.248 0.000 infeasible
00100 1 2 0.596 0.74226 0.445 0.054 0.000 0.487 0.014
01000 1 2 0.019 0.990705 0.095 -0.000 0.633 0.269 0.002
10000 1 2 0.052 0 0.000 -0.037 0.821 0.213 0.003 infeasible
00011 2 3 0.688 0 -0.213 -0.160 1.373 0.000 -0.000 infeasible
00101 2 3 0.633 0.888887 0.406 0.120 0.000 0.474 -0.000
00110 2 3 4.095 0 -93.509 110.558 0.000 0.000 -16.050 infeasible
01001 2 3 0.022 0.999163 0.085 0.000 0.657 0.258 0.000
01010 2 3 0.787 0 -0.292 -0.000 1.317 -0.000 -0.025 infeasible
01100 2 3 0.613 0.89334 0.485 0.000 0.000 0.493 0.022
10001 2 3 0.055 0 0.000 -0.023 0.810 0.213 0.000 infeasible
10010 2 3 1.025 0 0.000 -0.023 0.810 0.213 0.000 infeasible
10100 2 3 2.300 0 -0.000 0.575 -0.000 0.484 -0.059 infeasible
11000 2 3 0.064 0 0.000 0.000 0.778 0.224 -0.002 infeasible
00111 3 4 6.662 0 1.654 -0.654 -0.000 -0.000 0.000 infeasible
01011 3 4 1.439 0 1.654 -0.654 -0.000 -0.000 0.000 infeasible
01101 3 4 1.023 0.906219 0.557 0.000 -0.000 0.443 0.000
01110 3 4 8.794 0 1.062 0.000 0.000 0.000 -0.062 infeasible
10011 3 4 1.038 0 0.000 -0.207 1.207 -0.000 0.000 infeasible
10101 3 4 3.414 0.491024 0.000 0.410 0.000 0.590 0.000
10110 3 4 7.731 0 0.000 1.244 -0.000 -0.000 -0.244 infeasible
11001 3 4 0.067 0.999457 0.000 0.000 0.770 0.230 -0.000
11010 3 4 1.645 0 -0.000 0.000 1.033 0.000 -0.033 infeasible
11100 3 4 14.174 0.00675893 -0.000 -0.000 0.000 0.897 0.103
01111 4 5 11.445 0.0432417 1.000 0.000 0.000 -0.000 0.000
10111 4 5 32.638 4.44144e-06 0.000 1.000 -0.000 -0.000 0.000
11011 4 5 3.539 0.617557 0.000 0.000 1.000 -0.000 0.000
11101 4 5 38.115 3.57701e-07 0.000 0.000 -0.000 1.000 0.000
11110 4 5 1244.176 0 0.000 0.000 -0.000 -0.000 1.000
best pat: 00000 0 - -
best pat: 01000 0.990705 chi(nested): 0.018 p-value for nested model: 0.892258
best pat: 01001 0.999163 chi(nested): 0.003 p-value for nested model: 0.957096
best pat: 11001 0.999457 chi(nested): 0.045 p-value for nested model: 0.831921
best pat: 11011 0.617557 chi(nested): 3.472 p-value for nested model: 0.0624168

## end of run

Kurd
05-15-2016, 02:39 PM
I wonder why Kurds would be more Papuan shifted than Iranians, considering that Iran has about 10-15% recent South Asian admixture. The only possible explanation would be that the Ancestral South Asian in Kurds is much more ancient. What do you think?

It may just be random based on the samples used I would need to use far more Kurd samples* to see if the trend holds.

Edit: *and Iranian samples

Kurd
05-17-2016, 01:29 PM
There appears to be some difficulty modeling the remaining Kurd samples, Mfa, Znertu, Kurd Yazidi, and to a lesser extent Kurd C1, using the same base populations I used for Afghan Pashtuns ( Kurd C2, Andronovo 503, Scythian IA, Pulliyar, Mongolian) and Iraqi Kurd samples Kurd C2, Kurd C3, and Halgurd ( Andronovo 503, Scythian IA, Chechen, Saudi, Mongolian).

It may be that the Kurd samples from Turkey (Mfa & Znertu) and Kurd Yazidi (not sure where from) need some sort of Mediterranean sample (or a different caucausus) sample in the base populations (for an ancient European input) that the Iraqi Kurd samples did not need.

I will nonetheless post their rather poor fits later in the day for comparison.


EDIT: This is another example, such as with Afghan Pashtun-Pak Pashtun, or Afghan Pashtun-Afghan Tajik, where their ADMIXTURE results are more uniform, but formal methods show them dissimilar.

These discrepancies between formal stats and ADMIXTURE, are consistent with what I have mentioned all along, that ADMIXTURE results are fairly similar for people in the same geographical location, with a steady cline as you move away from that location. This is because ADMIXTURE is driven by recent drift and events, and does not detect more ancient divergent backgrounds (people migrating to a location from different parts of the world a long time ago)

Formal stats on the other hand detect older mutations, and to some extent ignore recent drift and events, thus revealing much more ancient relationships than ADMIXTURE. Thus, if 2 groups, whether Tajik-A Pashtun, or Turkey Kurds-Iraqi Kurds have different ancient ancestries, formal stats will pick up on this much better than ADMIXTURE.

Kurd
05-17-2016, 05:55 PM
Kurd C1 got the best fits using the base populations for which Iraqi Kurds C2 C3 and Halgurd and Meli and Surbakhun received very good to excellent fits. Nonetheless, although C1's fit is better than the other Kurds (mainly Turkey, not sure about Yazidi), I would not consider it that good. The fits for Znertu Mfa and Yazidi should not be taken seriously as they ranged from very poor to mediocre.



NO
SAMPLE
Andronovo 503
Scythian IA
Chechen
Saudi
Mongolian
CHISQ
TAIL PROBABILITY


1
KURD C1
0%
0%
57%
43%
0%
1.47
83%


2
KURD C1
0%
0%
44%
53%
3%
0.878
83%


3
KURD C1
28%
0%
0%
68%
4%
1.12
77%


4
KURD C1
0%
0%
57%
43%
0%
1.47
69%


5
KURD C1
41%
0%
0%
59%
0%
2.35
67%


6
KURD C1
0%
0%
57%
43%
0%
1.93
59%


7
KURD C1
0%
30%
0%
70%
0%
3
56%


8
KURD C1
0%
26%
0%
73%
1%
2.945
40%


9
KURD C1
0%
0%
0%
91%
9%
5.227
26%


10
KURD C1
0%
0%
100%
0%
0%
12.501
3%


11
KURD C1
0%
0%
0%
100%
0%
19.579
0%


12
KURD C1
100%
0%
0%
0%
0%
20.138
0%


13
KURD C1
0%
100%
0%
0%
0%
45.732
0%


14
KURD C1
0%
0%
0%
0%
100%
1136.506
0%






NO
SAMPLE
Andronovo 503
Scythian IA
Chechen
Saudi
Mongolian
CHISQ
TAIL PROBABILITY


1
Znertu
0%
40%
0%
60%
0%
2.684
61%


2
Znertu
0%
38%
0%
61%
1%
2.669
45%


3
Znertu
29%
0%
0%
64%
7%
3.281
35%


4
Znertu
0%
0%
36%
58%
7%
4.703
19%


5
Znertu
51%
0%
0%
49%
0%
6.811
15%


6
Znertu
0%
0%
0%
89%
12%
7.92
9%


7
Znertu
0%
0%
66%
34%
0%
8.716
7%


8
Znertu
0%
0%
100%
0%
0%
16.064
1%


9
Znertu
100%
0%
0%
0%
0%
17.636
0%


10
Znertu
0%
100%
0%
0%
0%
34.189
0%


11
Znertu
0%
0%
0%
100%
0%
35.791
0%


12
Znertu
0%
0%
0%
0%
100%
1141.543
0%

Kurd
05-17-2016, 05:55 PM
NO
SAMPLE
Andronovo 503
Scythian IA
Chechen
Saudi
Mongolian
CHISQ
TAIL PROBABILITY


1
Kurd Yazidi
65%
0%
0%
36%
0%
6.043
20%


2
Kurd Yazidi
100%
0%
0%
0%
0%
11.698
4%


3
Kurd Yazidi
0%
0%
81%
19%
0%
11.284
2%


4
Kurd Yazidi
0%
0%
100%
0%
0%
13.762
2%


5
Kurd Yazidi
0%
43%
0%
57%
0%
19.666
0%


6
Kurd Yazidi
0%
0%
0%
90%
10%
34.31
0%


7
Kurd Yazidi
0%
100%
0%
0%
0%
41.916
0%


8
Kurd Yazidi
0%
0%
0%
100%
0%
54.627
0%


9
Kurd Yazidi
0%
0%
0%
0%
100%
1158.506
0%





NO
SAMPLE
Andronovo 503
Scythian IA
Chechen
Saudi
Mongolian
CHISQ
TAIL PROBABILITY


1
Mfa
50%
0%
0%
50%
0%
3.004
56%


2
Mfa
0%
0%
64%
36%
0%
7.819
10%


3
Mfa
0%
33%
0%
67%
0%
12.344
1%


4
Mfa
100%
0%
0%
0%
0%
14.594
1%


5
Mfa
0%
0%
100%
0%
0%
16.495
1%


6
Mfa
0%
0%
0%
92%
8%
21.189
0%


7
Mfa
0%
0%
0%
100%
0%
36.35
0%


8
Mfa
0%
100%
0%
0%
0%
51.603
0%


9
Mfa
0%
0%
0%
0%
100%
1393.506
0%

Kurd
05-17-2016, 06:00 PM
The fixed paths (100% modeling) indicate the following:

1- Kurd C1 is the most Chechen, Mongolian, and Saudi (perhaps due to being the southernmost from the group) out of the group;
2- Kurd Yazidi is the most Andronovo 503 like;
3- Znertu is the most Scythian IA like



NO
SAMPLE
Chechen
CHISQ
TAIL PROBABILITY


1
KURD C1
100%
12.501
3%


2
Kurd Yazidi
100%
13.762
2%


3
Znertu
100%
16.064
1%


4
Mfa
100%
16.495
1%





NO
SAMPLE
Mongolian
CHISQ
TAIL PROBABILITY


1
KURD C1
100%
1136.506
0%


2
Znertu
100%
1141.543
0%


3
Kurd Yazidi
100%
1158.506
0%


4
Mfa
100%
1393.506
0%





NO
SAMPLE
Saudi
CHISQ
TAIL PROBABILITY


1
KURD C1
100%
19.579
0%


2
Znertu
100%
35.791
0%


3
Mfa
100%
36.35
0%


4

Kurd Yazidi
100%
54.627
0%

Kurd
05-17-2016, 06:00 PM
NO
SAMPLE
Andronovo 503
CHISQ
TAIL PROBABILITY


1
Kurd Yazidi
100%
11.698
4%


2
Mfa
100%
14.594
1%


3
Znertu
100%
17.636
0%


4
KURD C1
100%
20.138
0%





NO
SAMPLE
Scythian IA
CHISQ
TAIL PROBABILITY


1
Znertu
100%
34.189
0%


2
Kurd Yazidi
100%
41.916
0%


3
KURD C1
100%
45.732
0%


4
Mfa
100%
51.603
0%

Kurd
05-17-2016, 07:40 PM
I ammended the fixed path (100% modeling) tables by adding all the Iraqi Kurd samples, and note the following:

1- Iraqi Kurds in general seem to be more Andronovo 503 and Scythian IA similar, especially Kurd C2, who appears to be significantly more steppe shifted than the rest. This probably explains why he shares the most drift with Afghan Pashtun sample Meli

2- The Iraqi Kurd samples oddly enough seem to be the most Chechen shifted also




NO
SAMPLE
Andronovo 503
CHISQ
TAIL PROBABILITY


1
KURD C2
100%
6.372
27%


2
Halgurd
100%
11.445
4%


3
Kurd Yazidi
100%
11.698
4%


4
KURD C3
100%
11.884
4%


5
Mfa
100%
14.594
1%


6
Znertu
100%
17.636
0%


7
KURD C1
100%
20.138
0%





NO
SAMPLE
Scythian IA
CHISQ
TAIL PROBABILITY


1
KURD C2
100%
23.464
0%


2
KURD C3
100%
30.277
0%


3
Halgurd
100%
32.64
0%


4
Znertu
100%
34.189
0%


5
Kurd Yazidi
100%
41.916
0%


6
KURD C1
100%
45.732
0%


7
Mfa
100%
51.603
0%

Kurd
05-17-2016, 07:41 PM
NO
SAMPLE
Chechen
CHISQ
TAIL PROBABILITY


1
KURD C2
100%
1.815
87%


2
Halgurd
100%
3.54
62%


3
KURD C3
100%
5.687
34%


4
KURD C1
100%
12.501
3%


5
Kurd Yazidi
100%
13.762
2%


6
Znertu
100%
16.064
1%


7
Mfa
100%
16.495
1%





NO
SAMPLE
Mongolian
CHISQ
TAIL PROBABILITY


1
KURD C2
100%
1100.123
0%


2
KURD C1
100%
1136.506
0%


3
Znertu
100%
1141.543
0%


4
Kurd Yazidi
100%
1158.506
0%


5
KURD C3
100%
1164.299
0%


6
Halgurd
100%
1244.2
0%


7
Mfa
100%
1393.506
0%







NO
SAMPLE
Saudi
CHISQ
TAIL PROBABILITY


1
KURD C1
100%
19.579
0%


2
Znertu
100%
35.791
0%


3
Mfa
100%
36.35
0%


4
KURD C3
100%
37.383
0%


5
Halgurd
100%
38.11
0%


6
KURD C2
100%
51.47
0%


7
Kurd Yazidi
100%
54.627
0%

Kurd
05-19-2016, 01:43 PM
NO
SAMPLE
Andronovo2
Scythian_IA
Chechen
Saudi
Mongola
CHISQ
TAIL PROBABILITY


1
KURD_SE
76%
0%
0%
18%
7%
1.101
78%


2
KURD_SE
96%
0%
0%
0%
4%
2.114
71%


3
KURD_SE
100%
0%
0%
0%
0%
3.057
69%


4
KURD_SE
75%
25%
0%
0%
0%
2.323
68%


5
KURD_SE
0%
100%
0%
0%
0%
9.893
8%


6
KURD_SE
0%
0%
100%
0%
0%
10.621
6%


7
KURD_SE
0%
0%
0%
100%
0%
88.94
0%


8
KURD_SE
0%
0%
0%
0%
100%
894.667
0%



0 .Kurd_SE 1
1 Andronovo2 1
2 Scythian_IA 1
3 Chechen 9
4 Saudi 8
5 Mongola 6
6 MbutiPygmy 10
7 Karitiana 12
8 Onge 9
9 Han 33
10 Yoruba 70
11 Ami 10
jackknife block size: 0.05
snps: 532605 indivs: 170
number of blocks for block jackknife: 711
dof (jackknife): 617.235
numsnps used: 26251
codimension 1
f4info:
f4rank: 4 dof: 1 chisq: 0.701 tail: 0.402355133 dofdiff: 3 chisqdiff: -0.701
B:
scale 1 1 1 1
Karitiana 0.89 1.506 -1.395 0.061
Onge 0.632 1.157 1.451 -0.502
Han 1.401 -0.725 0.579 0.051
Yoruba -0.012 0.364 0.456 2.171
Ami 1.358 -0.857 -0.638 0.171
A:
scale 146.447 1154.64 3817.492 7628.717
Andronovo2 -0.033 0.389 -0.602 -0.979
Scythian_IA 0.259 -0.048 -1.874 1.633
Chechen -0.275 -0.597 -0.986 -1.124
Saudi -0.818 -1.942 0.293 0.27
Mongola 2.046 -0.848 0.259 -0.195


full rank 1
f4info:
f4rank: 5 dof: 0 chisq: 0 tail: 1 dofdiff: 1 chisqdiff: 0.701
B:
scale 1 1 1 1 1
Karitiana 0.891 1.494 -1.388 -0.066 0.212
Onge 0.63 1.217 1.658 -0.376 -0.482
Han 1.404 -0.733 0.357 -0.363 1.494
Yoruba -0.012 0.369 0.383 2.085 0.608
Ami 1.356 -0.784 -0.225 0.612 -1.457
A:
scale 146.802 1151.788 3005.944 7178.22 23782.98
Andronovo2 -0.065 0.359 -1.106 -1.324 1.375
Scythian_IA 0.255 -0.046 -1.708 1.42 0.017
Chechen -0.279 -0.601 -0.92 -1.056 -1.612
Saudi -0.825 -1.945 0.082 0.176 0.705
Mongola 2.043 -0.851 0.086 -0.292 0.107


best coefficients: 1.148 0.106 -0.756 0.427 0.074
ssres:
0.000091661 -0.000625875 -0.000203217 -0.000169037 -0.000507051
0.240365598 -1.64126218 -0.532904505 -0.44327475 -1.329662784

Jackknife mean: 0.235749771 0.045785057 0.682534857 -0.01645186 0.052382175
std. errors: 1.148 0.801 1.779 0.608 0.127

error covariance (* 1000000)
1318069 -219422 -1708170 541367 68155
-219422 642031 -422713 84798 -84695
-1708170 -422713 3166382 -1015806 -19694
541367 84798 -1015806 369644 19996
68155 -84695 -19694 19996 16238


fixed pat wt dof chisq tail prob
0 0 1 0.701 0 1.148 0.106 -0.756 0.427 0.074 infeasible
1 1 2 1.144 0 1.125 0.529 -1.115 0.461 0 infeasible
10 1 2 1.845 0 1.125 0.529 -1.115 0.461 0 infeasible
100 1 2 1.093 0 0.793 -0.047 0 0.179 0.075 infeasible
1000 1 2 0.725 0 1.192 0 -0.697 0.416 0.089 infeasible
10000 1 2 3.851 0 0 1.351 -0.431 0.21 -0.13 infeasible
11 2 3 2.274 0.517537 0.638 0.26 0.102 0 0
101 2 3 1.857 0.602529 0.579 0.323 0 0.098 0
110 2 3 2.111 0 0.995 -0.041 0 0 0.047 infeasible
1001 2 3 2.517 0 0.995 -0.041 0 0 0.047 infeasible
1010 2 3 1.874 0.598909 0.702 0 0.251 0 0.047
1100 2 3 1.101 0.776817 0.757 0 0 0.175 0.068
10001 2 3 4.426 0 0 0.396 0.643 -0.039 0 infeasible
10010 2 3 4.017 0 0 0.396 0.643 -0.039 0 infeasible
10100 2 3 3.914 0 0 1 0 0.088 -0.088 infeasible
11000 2 3 4.823 0 0 0 1.14 -0.181 0.041 infeasible
111 3 4 2.323 0.676564 0.749 0.251 0 0 0
1011 3 4 3.024 0 1.102 0 -0.102 0 0 infeasible
1101 3 4 3.038 0.551552 0.979 0 0 0.021 0
1110 3 4 2.114 0.714846 0.959 0 0 0 0.041
10011 3 4 4.443 0.349335 0 0.434 0.566 0 0
10101 3 4 5.176 0.269702 0 0.745 0 0.255 0
10110 3 4 4.064 0 0 1.12 0 0 -0.12 infeasible
11001 3 4 5.807 0 0 0 1.328 -0.328 0 infeasible
11010 3 4 5.623 0.229107 0 0 0.935 0 0.065
11100 3 4 28.783 8.65E-06 0 0 0 0.803 0.197
1111 4 5 3.057 0.691233 1 0 0 0 0
10111 4 5 9.893 0.0783306 0 1 0 0 0
11011 4 5 10.621 0.0594411 0 0 1 0 0
11101 4 5 88.94 1.12E-17 0 0 0 1 0
11110 4 5 894.667 0 0 0 0 0 1
best pat: 0 0 - -
best pat: 1 0 chi(nested): 0.442 p-value for nested model: 0.505942
best pat: 1100 0.776817 chi(nested): -0.043 p-value for nested model: #NAME?
best pat: 1110 0.714846 chi(nested): 1.013 p-value for nested model: 0.31426
best pat: 1111 0.691233 chi(nested): 0.943 p-value for nested model: 0.331502

Kurd
05-19-2016, 01:46 PM
NO
SAMPLE
Andronovo 503
CHISQ
TAIL PROBABILITY


1
KURD_SE
100%
3.057
69%


2
KURD C2
100%
6.372
27%


3
Halgurd
100%
11.445
4%


4
Kurd Yazidi
100%
11.698
4%


5
KURD C3
100%
11.884
4%


6
Mfa
100%
14.594
1%


7
Znertu
100%
17.636
0%


8
KURD C1
100%
20.138
0%





NO
SAMPLE
Scythian IA
CHISQ
TAIL PROBABILITY


1
KURD_SE
100%
9.893
8%


2
KURD C2
100%
23.464
0%


3
KURD C3
100%
30.277
0%


4
Halgurd
100%
32.64
0%


5
Znertu
100%
34.189
0%


6
Kurd Yazidi
100%
41.916
0%


7
KURD C1
100%
45.732
0%


8
Mfa
100%
51.603
0%





NO
SAMPLE
Chechen
CHISQ
TAIL PROBABILITY


1
KURD C2
100%
1.815
87%


2
Halgurd
100%
3.54
62%


3
KURD C3
100%
5.687
34%


4
KURD_SE
100%
10.621
6%


5
KURD C1
100%
12.501
3%


6
Kurd Yazidi
100%
13.762
2%


7
Znertu
100%
16.064
1%


8
Mfa
100%
16.495
1%

Kurd
05-19-2016, 01:47 PM
NO
SAMPLE
Mongolian
CHISQ
TAIL PROBABILITY


1
KURD_SE
100%
894.667
0%


2
KURD C2
100%
1100.123
0%


3
KURD C1
100%
1136.506
0%


4
Znertu
100%
1141.543
0%


5
Kurd Yazidi
100%
1158.506
0%


6
KURD C3
100%
1164.299
0%


7
Halgurd
100%
1244.2
0%


8
Mfa
100%
1393.506
0%





NO
SAMPLE
Saudi
CHISQ
TAIL PROBABILITY


1
KURD C1
100%
19.6
0%


2
Znertu
100%
35.8
0%


3
Mfa
100%
36.4
0%


4
KURD C3
100%
37.4
0%


5
Halgurd
100%
38.1
0%


6
KURD C2
100%
51.5
0%


7
Kurd Yazidi
100%
54.6
0%


8
KURD_SE
100%
88.9
0%

Kurd
05-20-2016, 06:49 PM
A summary for fixed paths (100% modeling) of members thus far. Sorted from most shared drift (similarity) to the comparison sample on top to least similar on bottom



NO
SAMPLE
ANDRONOVO 503
CHISQ
TAIL PROBABILITY


1
KURD_SE
100%
3.1
69%


2
KURD C2
100%
6.4
27%


3
KANDHARI
100%
8.1
23%


4
KAIDO
100%
9.6
14%


5
SEIN
100%
11.0
9%


6
NK19191
100%
11.1
5%


7
Halgurd
100%
11.4
4%


8
Kurd Yazidi
100%
11.7
4%


9
KURD C3
100%
11.9
4%


10
MELI
100%
12.9
4%


11
DMXX
100%
13.8
2%


12
Mfa
100%
14.6
1%


13
Znertu
100%
17.6
0%


14
KURD C1
100%
20.1
0%


15
JESUS
100%
30.5
0%





NO
SAMPLE
SCYTHIAN IA
CHISQ
TAIL PROBABILITY


1
KURD_SE
100%
9.9
8%


2
SEIN
100%
12.3
6%


3
KANDHARI
100%
13.9
3%


4
MELI
100%
15.2
2%


5
KAIDO
100%
20.4
0%


6
KURD C2
100%
23.5
0%


7
KURD C3
100%
30.3
0%


8
Halgurd
100%
32.6
0%


9
Znertu
100%
34.2
0%


10
DMXX
100%
34.3
0%


11
NK19191
100%
35.0
0%


12
Kurd Yazidi
100%
41.9
0%


13
KURD C1
100%
45.7
0%


14
Mfa
100%
51.6
0%


15
JESUS
100%
57.2
0%

Kurd
05-20-2016, 06:52 PM
NO
SAMPLE
CHECHEN
CHISQ
TAIL PROBABILITY


1
KURD C2
100%
1.8
87%


2
Halgurd
100%
3.5
62%


3
KURD C3
100%
5.7
34%


4
NK19191
100%
8.6
13%


5
KAIDO
100%
10.2
12%


6
KURD_SE
100%
10.6
6%


7
KANDHARI
100%
10.7
10%


8
KURD C1
100%
12.5
3%


9
DMXX
100%
12.9
2%


10
Kurd Yazidi
100%
13.8
2%


11
Znertu
100%
16.1
1%


12
Mfa
100%
16.5
1%


13
SEIN
100%
24.9
0%


14
JESUS
100%
24.9
0%


15
MELI
100%
28.3
0%






NO
SAMPLE
MONGOLIAN
CHISQ
TAIL PROBABILITY


1
SEIN
100%
721.0
0%


2
MELI
100%
723.9
0%


3
KANDHARI
100%
760.4
0%


4
KAIDO
100%
806.8
0%


5
KURD_SE
100%
894.7
0%


6
KURD C2
100%
1100.1
0%


7
NK19191
100%
1118.3
0%


8
KURD C1
100%
1136.5
0%


9
Znertu
100%
1141.5
0%


10
Kurd Yazidi
100%
1158.5
0%


11
DMXX
100%
1162.8
0%


12
KURD C3
100%
1164.3
0%


13
JESUS
100%
1208.7
0%


14
Halgurd
100%
1244.2
0%


15
Mfa
100%
1393.5
0%

Kurd
05-20-2016, 06:53 PM
NO
SAMPLE
SAUDI
CHISQ
TAIL PROBABILITY


1
JESUS
100%
4.9
43%


2
KURD C1
100%
19.6
0%


3
Znertu
100%
35.8
0%


4
Mfa
100%
36.4
0%


5
KURD C3
100%
37.4
0%


6
Halgurd
100%
38.1
0%


7
DMXX
100%
39.7
0%


8
KURD C2
100%
51.5
0%


9
Kurd Yazidi
100%
54.6
0%


10
NK19191
100%
57.6
0%


11
KURD_SE
100%
88.9
0%


12
KANDHARI
100%
94.0
0%


13
KAIDO
100%
102.5
0%


14
MELI
100%
132.3
0%


15
SEIN
100%
158.5
0%