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Liquid
11-28-2021, 04:57 AM
I found them while playing around in Vahaduo, they don't appear in the Eurogenes list. While they are on the higher end of China_Boshan, Tepecik and lower on Iran_Ganj_Dareh in comparison to the other Iranians, it is a subtle shift really. The Iranian Azerbaijanis are known to be attached to their Iranianness and the Iranian regime, on the other hand the Azerbaijanis on the North side of the Araxes river are very hostile toward the Farsi speakers of Iran but love the Azerbaijani speakers of Iran, even seeking unification with the Azerbaijani speakers in an often romanticised 'Greater Azerbaijan'.

47587

Iranian_Azeri_Zanjan,0.09504225,0.0868275,-0.0529855,-0.03803325,-0.03885325,-0.0086454999,0.00499375,-0.0034037500000000005,-0.02894025,-0.0106607498,0.00044675,0.000673999,0.001003503,0. 0006195,0.0007122502,0.00546925,0.0008802500000000 001,-0.0012985,0.001508248,-0.00193824999,0.00006224987,-0.0040495,-0.000339,-0.0013555,0.00245475
Iranian_Azeri_Tabriz,0.08906675,0.0827655,-0.05072275004,-0.0323,-0.03939175,-0.004532,0.0028205,-0.00190399,-0.02848002,-0.0072892501,-0.0020705,0.000112499,0.00494275,-0.000343999,0.0003395007,0.0083201,0.0032595,0.002 43875,0.000314,-0.00612775,-0.00018700000000000002,-0.00154552,-0.00354325,-0.0043375,0.00161675
Iranian_Azeri_Tehran,0.0910585,0.08175,-0.051099625,-0.03076575,-0.03646825,-0.00156874998,0.00282005,-0.0032305,-0.025897625,-0.01059237501,-0.000060875003,-0.0017422499,0.00222975,-0.00400825,-0.000407125,0.007574,-0.000032475,0.000126874,0.001791125002,-0.00714437506,-0.003306625,-0.0030451249,-0.00149425,-0.001235125,0.00276924
Iranian_Azeri,0.0917225,0.083781,-0.0516026,-0.0336997,-0.0382378,-0.0049154,0.0035448,-0.0028461,-0.0277726,-0.0095141,-0.0005615,-0.0003186,0.0027253,-0.0012442,0.0002149,0.0071211,0.0013691,0.0004224, 0.0012045,-0.0050701,-0.0011438,-0.00288,-0.0017922,-0.0023094,0.0022802
Iranian_Azeri,0.0916277,0.0788727,-0.0475802,-0.0377372,-0.0361603,-0.0071118,0.003055,-0.0033075,-0.0267585,-0.0086258,0.0010285,0.0002497,0.0013873,-0.0009862,-0.0002942,0.0059225,-0.0016297,0.000169,0.0029538,-0.0059613,-0.0012687,-0.002473,-0.0009243,-0.000743,0.0023152

Xeon
11-28-2021, 09:50 AM
I found them while playing around in Vahaduo, they don't appear in the Eurogenes list. While they are on the higher end of China_Boshan, Tepecik and lower on Iran_Ganj_Dareh in comparison to the other Iranians, it is a subtle shift really. The Iranian Azerbaijanis are known to be attached to their Iranianness and the Iranian regime, on the other hand the Azerbaijanis on the North side of the Araxes river are very hostile toward the Farsi speakers of Iran but love the Azerbaijani speakers of Iran, even seeking unification with the Azerbaijani speakers in an often romanticised 'Greater Azerbaijan'.



Kura araxes already has Iran N, CHG and Anatolian in it, its better to break it down to neolithic sources. here's a better model. overall, the main difference is in the slight shift in Iran N between RoA Azeris and Iranians

https://imgur.com/a/az5xdhi.jpg

Liquid
11-28-2021, 09:55 PM
Kura araxes already has Iran N, CHG and Anatolian in it, its better to break it down to neolithic sources. here's a better model. overall, the main difference is in the slight shift in Iran N between RoA Azeris and Iranians

https://imgur.com/a/az5xdhi.jpg

Tepecik is better for the Near East and the Southern European coastline, Barcin for finding recent back migrations from Europe, but you will see your Anatolian ancestry shoot up and Levantine drop by quite a bit if you use Tepecik instead of Barcin, that suits me fine. It'd be nice to know where the Azerbaijanis who made it onto the Eurogenes sheet are from, North or South of the Araxes? The river must've acted as a barrier surely.

Xeon
11-29-2021, 12:48 AM
Tepecik is better for the Near East and the Southern European coastline, Barcin for finding recent back migrations from Europe, but you will see your Anatolian ancestry shoot up and Levantine drop by quite a bit if you use Tepecik instead of Barcin, that suits me fine. It'd be nice to know where the Azerbaijanis who made it onto the Eurogenes sheet are from, North or South of the Araxes? The river must've acted as a barrier surely.

Since eurogenes has an average for both Iranian azeris and RoA azeris under "Azerbaijani", it's safe to say the "Azerbaijani" coordinate is from the republic while the rest which have an Iranian classification are from Iran.

Azerbaijan formally separated from Iran after the end of the Russo-Persian war in 1828 under the Turkmenchay treaty. Before that, what is now known today as azerbaijan was an integrated part of Iran. This relationship is apparent in the closeness of RoA Azeris and various Iranian communities.

Azerbaijan also has other ethnicities like Lezgins who may not fit the same genetic profile but on average, azeris are closest to Iranian communities than to their other neighbors

Michalis Moriopoulos
11-29-2021, 03:49 AM
Where did you find these, if I may ask? I don't see them in the Vahaduo source spreadsheet for individual modern samples, which I check periodically.

Ajeje Brazorf
11-29-2021, 09:32 AM
Where did you find these, if I may ask? I don't see them in the Vahaduo source spreadsheet for individual modern samples, which I check periodically.

https://www.theapricity.com/forum/showthread.php?310130-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE&p=7360596&highlight=#post7360596

Michalis Moriopoulos
11-29-2021, 08:06 PM
https://www.theapricity.com/forum/showthread.php?310130-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE&p=7360596&highlight=#post7360596

Wow, these aren't new samples at all; they're just averages of samples from the Taleb/Zalloua paper. Looking through it, somebody must have contacted that team and gotten specific location information about that paper's many unspecific Iranian, Turkish, etc. samples. That's great! Any idea who we can thank for this?

It's going to be fun to see if my guesses about regions were right.

Liquid
11-30-2021, 03:42 AM
Since eurogenes has an average for both Iranian azeris and RoA azeris under "Azerbaijani", it's safe to say the "Azerbaijani" coordinate is from the republic while the rest which have an Iranian classification are from Iran.

Azerbaijan formally separated from Iran after the end of the Russo-Persian war in 1828 under the Turkmenchay treaty. Before that, what is now known today as azerbaijan was an integrated part of Iran. This relationship is apparent in the closeness of RoA Azeris and various Iranian communities.

Azerbaijan also has other ethnicities like Lezgins who may not fit the same genetic profile but on average, azeris are closest to Iranian communities than to their other neighbors

Azerbaijanis are on average closer to Turks

47601

Perhaps because they are mostly people of the Kura-Araxes

47602

Who were Anatolian-Caucasians with some Iran_N

47603

Azadmard101
01-30-2022, 02:01 PM
Azerbaijanis are on average closer to Turks

47601

Perhaps because they are mostly people of the Kura-Araxes

47602

Who were Anatolian-Caucasians with some Iran_N

47603

Distance doesn't mean anything.

Azerbaijanis shift towards Anatolians not because they come from the exact same source population, but because they both share largely the same Neolithic components (at different variations) and have a slight increase in East Asian admixture relative to their immediate neighbors.

The usage of distance to push an agenda is laughable.

Gentica277282
01-30-2022, 02:05 PM
Kura araxes already has Iran N, CHG and Anatolian in it, its better to break it down to neolithic sources. here's a better model. overall, the main difference is in the slight shift in Iran N between RoA Azeris and Iranians

https://imgur.com/a/az5xdhi.jpg

Can you remove ppnb to see there Barcin admixture fully

Azadmard101
01-30-2022, 02:28 PM
Can you remove ppnb to see there Barcin admixture fully

It doesn't make sense for them to do so.

Gentica277282
01-30-2022, 02:30 PM
It doesn't make sense for them to do so.

Why not isn’t ppnb just narufian+barcin correct me if I’m wrong

chum
01-30-2022, 02:31 PM
Thought I'd give it a try
48195

Gentica277282
01-30-2022, 02:35 PM
Target: Iranian_Azeri
Distance: 1.7952% / 0.01795208
32.8 Early_European_Farmer
31.4 Iran_Neolithic
14.0 Steppe_Pastoralist
8.0 Caucasus_Hunter-gatherer
7.0 Northeastern_Asia_Neolithic
6.8 Levant_Natufian

Target: Iranian_Azeri
Distance: 1.7354% / 0.01735443
33.2 Iran_Neolithic
31.8 Early_European_Farmer
13.8 Steppe_Pastoralist
8.2 Caucasus_Hunter-gatherer
7.2 Levant_Natufian
5.8 Northeastern_Asia_Neolithic

Target: Iranian_Azeri_Tehran
Distance: 1.7325% / 0.01732508
34.2 Iran_Neolithic
32.0 Early_European_Farmer
16.0 Steppe_Pastoralist
6.2 Levant_Natufian
6.0 Northeastern_Asia_Neolithic
5.6 Caucasus_Hunter-gatherer

Target: Iranian_Azeri_Tabriz
Distance: 1.6814% / 0.01681425
33.8 Iran_Neolithic
31.6 Early_European_Farmer
13.4 Steppe_Pastoralist
7.8 Caucasus_Hunter-gatherer
7.4 Levant_Natufian
6.0 Northeastern_Asia_Neolithic

Target: Iranian_Azeri_Zanjan
Distance: 2.0021% / 0.02002126
32.0 Early_European_Farmer
30.4 Iran_Neolithic
12.2 Steppe_Pastoralist
12.0 Caucasus_Hunter-gatherer
7.8 Levant_Natufian
5.6 Northeastern_Asia_Neolithic

With ppnb
Target: Iranian_Azeri
Distance: 1.3885% / 0.01388527
29.8 Iran_Neolithic
20.8 Early_European_Farmer
19.4 Levant_PPNB
14.8 Steppe_Pastoralist
8.4 Caucasus_Hunter-gatherer
6.6 Northeastern_Asia_Neolithic
0.2 Ancient_American

Target: Iranian_Azeri
Distance: 1.3390% / 0.01338987
32.2 Iran_Neolithic
20.4 Early_European_Farmer
18.6 Levant_PPNB
14.4 Steppe_Pastoralist
8.4 Caucasus_Hunter-gatherer
5.6 Northeastern_Asia_Neolithic
0.4 Ancient_American

Target: Iranian_Azeri_Tehran
Distance: 1.3835% / 0.01383495
32.8 Iran_Neolithic
21.2 Early_European_Farmer
17.6 Levant_PPNB
16.8 Steppe_Pastoralist
5.8 Northeastern_Asia_Neolithic
5.6 Caucasus_Hunter-gatherer
0.2 Ancient_American

Target: Iranian_Azeri_Tabriz
Distance: 1.3381% / 0.01338139
32.8 Iran_Neolithic
20.8 Early_European_Farmer
18.0 Levant_PPNB
14.4 Steppe_Pastoralist
7.4 Caucasus_Hunter-gatherer
6.2 Northeastern_Asia_Neolithic
0.4 Ancient_American

Target: Iranian_Azeri_Zanjan
Distance: 1.5929% / 0.01592896
28.2 Iran_Neolithic
21.0 Levant_PPNB
19.0 Early_European_Farmer
13.8 Steppe_Pastoralist
12.6 Caucasus_Hunter-gatherer
5.4 Northeastern_Asia_Neolithic

Ah okay the percentage drops quiet a bit when using ppnb, with me it’s minimal. I’m guessing because the of the Iranian Neolithic component

Azadmard101
01-30-2022, 02:38 PM
No, it isn't. Barcin and PPNB are largely contemporaneous afaik.

Natufian is Epipaleolithic, which is far older, while Barcin is somewhat contemporaneous with PPNB.

There are two problems with removing PPNB. One is that Anatolia_N and Levant_N are not actually distinct populations. The only reason for their differences is because of genetic drift due to separation. It is similar to how CHG and Iran_N are largely the same population, but cluster differently because of genetic drift.

The second is that you generally shouldn't use samples from wildly different eras unless you absolutely have to or have a specific reason to (eg, if you want to find only the Yamnaya ancestry in a sample, you can leave the other reference populations as Neolithic ones and it should be fine).

If you used Natufian and Pinarbasi_HG together, that would make some sense.

Mnemonics
01-30-2022, 08:00 PM
No, it isn't. Barcin and PPNB are largely contemporaneous afaik.

Natufian is Epipaleolithic, which is far older, while Barcin is somewhat contemporaneous with PPNB.

There are two problems with removing PPNB. One is that Anatolia_N and Levant_N are not actually distinct populations. The only reason for their differences is because of genetic drift due to separation. It is similar to how CHG and Iran_N are largely the same population, but cluster differently because of genetic drift.

The second is that you generally shouldn't use samples from wildly different eras unless you absolutely have to or have a specific reason to (eg, if you want to find only the Yamnaya ancestry in a sample, you can leave the other reference populations as Neolithic ones and it should be fine).

If you used Natufian and Pinarbasi_HG together, that would make some sense.


Anatolia_N and Levant_N probably aren't that drifted, its the extra African (Taforalt related) affinity in Levant_N that is causing them to seem a bit further away from each other than they actually are. These populations were likely intermixing periodically.


PPNB seems to be a mix of something Barcin related + Iran_N + Natufian






left pops:
PPNB
Barcin_N.SG
Iran_N
Natufian

right pops:
Cameroon_SMA.SG
DevilsGate_N
Ekven_IA.SG
South_Africa_HG
Yana_UP
Bahamas_SouthAndros_Ceramic.SG
BachoKiro
Iran_TepeAbdulHosein_N.SG
Mota
CHG
WHG
Morocco_EN

0 PPNB 12
1 Barcin_N.SG 3
2 Iran_N 4
3 Natufian 6
4 Cameroon_SMA.SG 2
5 DevilsGate_N 4
6 Ekven_IA.SG 10
7 South_Africa_HG 4
8 Yana_UP 2
9 Bahamas_SouthAndros_Ceramic.SG 4
10 BachoKiro 3
11 Iran_TepeAbdulHosein_N.SG 3
12 Mota 1
13 CHG 2
14 WHG 2
15 Morocco_EN 3
jackknife block size: 0.050
snps: 1150465 indivs: 65
number of blocks for block jackknife: 714
## ncols: 1150465
coverage: PPNB 862586
coverage: Barcin_N.SG 1150122
coverage: Iran_N 1002874
coverage: Natufian 529354
coverage: Cameroon_SMA.SG 1148760
coverage: DevilsGate_N 1134715
coverage: Ekven_IA.SG 1144810
coverage: South_Africa_HG 1135129
coverage: Yana_UP 1135189
coverage: Bahamas_SouthAndros_Ceramic.SG 1150077
coverage: BachoKiro 990561
coverage: Iran_TepeAbdulHosein_N.SG 1061032
coverage: Mota 1134612
coverage: CHG 1134595
coverage: WHG 1134826
coverage: Morocco_EN 653097
Effective number of blocks: 615.360
numsnps used: 365777
codimension 1
f4info:
f4rank: 2 dof: 9 chisq: 4.376 tail: 0.884999971 dofdiff: 11 chisqdiff: -4.376 taildiff: 1
B:
scale 1.000 1.000
DevilsGate_N 0.301 0.810
Ekven_IA.SG 0.353 0.934
South_Africa_HG -0.170 -0.078
Yana_UP -0.062 1.200
Bahamas_SouthAndros_Ceramic.SG 0.582 0.833
BachoKiro 0.249 0.659
Iran_TepeAbdulHosein_N.SG 2.410 -0.632
Mota -0.011 -0.017
CHG 1.068 1.011
WHG -0.767 2.340
Morocco_EN -1.677 -0.037
A:
scale 636.626 1431.715
Barcin_N.SG 0.433 1.475
Iran_N 1.613 -0.448
Natufian -0.458 -0.789


full rank
f4info:
f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 9 chisqdiff: 4.376 taildiff: 0.884999971
B:
scale 846.287 388.590 1111.429
DevilsGate_N 0.892 0.212 -0.798
Ekven_IA.SG 1.020 0.235 -0.915
South_Africa_HG -0.064 -0.120 0.356
Yana_UP 0.955 -0.228 -0.871
Bahamas_SouthAndros_Ceramic.SG 1.135 0.496 -0.859
BachoKiro 0.710 0.155 -0.697
Iran_TepeAbdulHosein_N.SG 0.740 2.404 -1.751
Mota 0.151 0.069 0.351
CHG 1.513 0.938 -1.450
WHG 1.568 -1.050 -0.956
Morocco_EN -1.067 -1.672 1.100
A:
scale 1.732 1.732 1.732
Barcin_N.SG 1.732 0.000 0.000
Iran_N 0.000 1.732 0.000
Natufian 0.000 0.000 1.732


best coefficients: 0.337 0.076 0.587
Jackknife mean: 0.338402586 0.076054844 0.585542570
std. errors: 0.062 0.025 0.050

error covariance (* 1,000,000)
3802 -976 -2826
-976 637 339
-2826 339 2487


summ: PPNB 3 0.885000 0.338 0.076 0.586 3802 -976 -2826 637 339 ...
2487

fixed pat wt dof chisq tail prob
000 0 9 4.376 0.885 0.337 0.076 0.587
001 1 10 124.148 7.26822e-22 1.043 -0.043 0.000 infeasible
010 1 10 13.596 0.19223 0.443 0.000 0.557
100 1 10 27.553 0.00212804 0.000 0.156 0.844
011 2 11 126.254 9.95401e-22 1.000 0.000 0.000
101 2 11 1044.021 0 0.000 1.000 0.000
110 2 11 64.096 1.59362e-09 0.000 0.000 1.000
best pat: 000 0.885 - -
best pat: 010 0.19223 chi(nested): 9.220 p-value for nested model: 0.00239336
best pat: 110 1.59362e-09 chi(nested): 50.500 p-value for nested model: 1.19187e-12

coeffs: 0.337 0.076 0.587

## dscore:: f_4(Base, Fit, Rbase, right2)
## genstat:: f_4(Base, Fit, right1, right2)

details: Barcin_N.SG DevilsGate_N 0.001054 3.690607
details: Iran_N DevilsGate_N 0.000545 1.644792
details: Natufian DevilsGate_N -0.000718 -2.109829
dscore: DevilsGate_N f4: -0.000024 Z: -0.093251

details: Barcin_N.SG Ekven_IA.SG 0.001205 4.453901
details: Iran_N Ekven_IA.SG 0.000606 1.995193
details: Natufian Ekven_IA.SG -0.000823 -2.611110
dscore: Ekven_IA.SG f4: -0.000031 Z: -0.126125

details: Barcin_N.SG South_Africa_HG -0.000076 -0.376047
details: Iran_N South_Africa_HG -0.000310 -1.340460
details: Natufian South_Africa_HG 0.000321 1.307453
dscore: South_Africa_HG f4: 0.000139 Z: 0.732486

details: Barcin_N.SG Yana_UP 0.001129 3.986823
details: Iran_N Yana_UP -0.000585 -1.800611
details: Natufian Yana_UP -0.000784 -2.284378
dscore: Yana_UP f4: -0.000124 Z: -0.474065

details: Barcin_N.SG Bahamas_SouthAndros_Ceramic.SG 0.001341 4.830469
details: Iran_N Bahamas_SouthAndros_Ceramic.SG 0.001276 4.018584
details: Natufian Bahamas_SouthAndros_Ceramic.SG -0.000773 -2.307446
dscore: Bahamas_SouthAndros_Ceramic.SG f4: 0.000096 Z: 0.374369

details: Barcin_N.SG BachoKiro 0.000839 2.986217
details: Iran_N BachoKiro 0.000398 1.233641
details: Natufian BachoKiro -0.000627 -1.875654
dscore: BachoKiro f4: -0.000055 Z: -0.208736

details: Barcin_N.SG Iran_TepeAbdulHosein_N.SG 0.000875 3.144269
details: Iran_N Iran_TepeAbdulHosein_N.SG 0.006187 19.326382
details: Natufian Iran_TepeAbdulHosein_N.SG -0.001575 -4.777588
dscore: Iran_TepeAbdulHosein_N.SG f4: -0.000158 Z: -0.608095

details: Barcin_N.SG Mota 0.000178 0.683429
details: Iran_N Mota 0.000176 0.541298
details: Natufian Mota 0.000316 0.978251
dscore: Mota f4: 0.000259 Z: 1.017113

details: Barcin_N.SG CHG 0.001788 5.845387
details: Iran_N CHG 0.002413 6.861768
details: Natufian CHG -0.001305 -3.744696
dscore: CHG f4: 0.000021 Z: 0.076117

details: Barcin_N.SG WHG 0.001852 6.318749
details: Iran_N WHG -0.002703 -8.123280
details: Natufian WHG -0.000860 -2.450783
dscore: WHG f4: -0.000086 Z: -0.316178

details: Barcin_N.SG Morocco_EN -0.001261 -4.151972
details: Iran_N Morocco_EN -0.004303 -11.623999
details: Natufian Morocco_EN 0.000990 2.630585
dscore: Morocco_EN f4: -0.000172 Z: -0.597525

gendstat: Cameroon_SMA.SG DevilsGate_N -0.093
gendstat: Cameroon_SMA.SG Ekven_IA.SG -0.126
gendstat: Cameroon_SMA.SG South_Africa_HG 0.732
gendstat: Cameroon_SMA.SG Yana_UP -0.474
gendstat: Cameroon_SMA.SG Bahamas_SouthAndros_Ceramic.SG 0.374
gendstat: Cameroon_SMA.SG BachoKiro -0.209
gendstat: Cameroon_SMA.SG Iran_TepeAbdulHosein_N.SG -0.608
gendstat: Cameroon_SMA.SG Mota 1.017
gendstat: Cameroon_SMA.SG CHG 0.076
gendstat: Cameroon_SMA.SG WHG -0.316
gendstat: Cameroon_SMA.SG Morocco_EN -0.598
gendstat: DevilsGate_N Ekven_IA.SG -0.031
gendstat: DevilsGate_N South_Africa_HG 0.639
gendstat: DevilsGate_N Yana_UP -0.390
gendstat: DevilsGate_N Bahamas_SouthAndros_Ceramic.SG 0.572
gendstat: DevilsGate_N BachoKiro -0.120
gendstat: DevilsGate_N Iran_TepeAbdulHosein_N.SG -0.545
gendstat: DevilsGate_N Mota 1.007
gendstat: DevilsGate_N CHG 0.169
gendstat: DevilsGate_N WHG -0.247
gendstat: DevilsGate_N Morocco_EN -0.500
gendstat: Ekven_IA.SG South_Africa_HG 0.668
gendstat: Ekven_IA.SG Yana_UP -0.394
gendstat: Ekven_IA.SG Bahamas_SouthAndros_Ceramic.SG 0.702
gendstat: Ekven_IA.SG BachoKiro -0.101
gendstat: Ekven_IA.SG Iran_TepeAbdulHosein_N.SG -0.521
gendstat: Ekven_IA.SG Mota 1.066
gendstat: Ekven_IA.SG CHG 0.200
gendstat: Ekven_IA.SG WHG -0.228
gendstat: Ekven_IA.SG Morocco_EN -0.488
gendstat: South_Africa_HG Yana_UP -0.951
gendstat: South_Africa_HG Bahamas_SouthAndros_Ceramic.SG -0.163
gendstat: South_Africa_HG BachoKiro -0.723
gendstat: South_Africa_HG Iran_TepeAbdulHosein_N.SG -1.121
gendstat: South_Africa_HG Mota 0.479
gendstat: South_Africa_HG CHG -0.425
gendstat: South_Africa_HG WHG -0.807
gendstat: South_Africa_HG Morocco_EN -1.087
gendstat: Yana_UP Bahamas_SouthAndros_Ceramic.SG 0.880
gendstat: Yana_UP BachoKiro 0.267
gendstat: Yana_UP Iran_TepeAbdulHosein_N.SG -0.128
gendstat: Yana_UP Mota 1.329
gendstat: Yana_UP CHG 0.542
gendstat: Yana_UP WHG 0.153
gendstat: Yana_UP Morocco_EN -0.156
gendstat: Bahamas_SouthAndros_Ceramic.SG BachoKiro -0.622
gendstat: Bahamas_SouthAndros_Ceramic.SG Iran_TepeAbdulHosein_N.SG -1.023
gendstat: Bahamas_SouthAndros_Ceramic.SG Mota 0.578
gendstat: Bahamas_SouthAndros_Ceramic.SG CHG -0.288
gendstat: Bahamas_SouthAndros_Ceramic.SG WHG -0.729
gendstat: Bahamas_SouthAndros_Ceramic.SG Morocco_EN -0.900
gendstat: BachoKiro Iran_TepeAbdulHosein_N.SG -0.388
gendstat: BachoKiro Mota 1.060
gendstat: BachoKiro CHG 0.274
gendstat: BachoKiro WHG -0.117
gendstat: BachoKiro Morocco_EN -0.381
gendstat: Iran_TepeAbdulHosein_N.SG Mota 1.406
gendstat: Iran_TepeAbdulHosein_N.SG CHG 0.710
gendstat: Iran_TepeAbdulHosein_N.SG WHG 0.277
gendstat: Iran_TepeAbdulHosein_N.SG Morocco_EN -0.049
gendstat: Mota CHG -0.792
gendstat: Mota WHG -1.142
gendstat: Mota Morocco_EN -1.387
gendstat: CHG WHG -0.395
gendstat: CHG Morocco_EN -0.618
gendstat: WHG Morocco_EN -0.282







Barcin also seems to have picked a sizable chunk of Natufian related ancestry from a PPNB related population.






left pops:
Barcin_N.SG
Boncuklu_N.SG
PPNB

right pops:
Cameroon_SMA.SG
DevilsGate_N
Ekven_IA.SG
South_Africa_HG
Yana_UP
Bahamas_SouthAndros_Ceramic.SG
BachoKiro
Iran_TepeAbdulHosein_N.SG
Mota
CHG
WHG
Morocco_EN

0 Barcin_N.SG 3
1 Boncuklu_N.SG 6
2 PPNB 12
3 Cameroon_SMA.SG 2
4 DevilsGate_N 4
5 Ekven_IA.SG 10
6 South_Africa_HG 4
7 Yana_UP 2
8 Bahamas_SouthAndros_Ceramic.SG 4
9 BachoKiro 3
10 Iran_TepeAbdulHosein_N.SG 3
11 Mota 1
12 CHG 2
13 WHG 2
14 Morocco_EN 3
jackknife block size: 0.050
snps: 1150464 indivs: 61
number of blocks for block jackknife: 714
## ncols: 1150464
coverage: Barcin_N.SG 1150122
coverage: Boncuklu_N.SG 1138952
coverage: PPNB 862586
coverage: Cameroon_SMA.SG 1148760
coverage: DevilsGate_N 1134715
coverage: Ekven_IA.SG 1144810
coverage: South_Africa_HG 1135129
coverage: Yana_UP 1135189
coverage: Bahamas_SouthAndros_Ceramic.SG 1150077
coverage: BachoKiro 990561
coverage: Iran_TepeAbdulHosein_N.SG 1061032
coverage: Mota 1134612
coverage: CHG 1134595
coverage: WHG 1134826
coverage: Morocco_EN 653097
Effective number of blocks: 613.601
numsnps used: 610996
codimension 1
f4info:
f4rank: 1 dof: 10 chisq: 4.648 tail: 0.913396745 dofdiff: 12 chisqdiff: -4.648 taildiff: 1
B:
scale 1.000
DevilsGate_N 0.866
Ekven_IA.SG 0.927
South_Africa_HG -0.020
Yana_UP 0.954
Bahamas_SouthAndros_Ceramic.SG 1.040
BachoKiro 0.595
Iran_TepeAbdulHosein_N.SG 0.651
Mota -0.107
CHG 1.445
WHG 1.563
Morocco_EN -1.442
A:
scale 1169.033
Boncuklu_N.SG 0.344
PPNB -1.372


full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 10 chisqdiff: 4.648 taildiff: 0.913396745
B:
scale 3196.005 833.258
DevilsGate_N 0.486 -0.948
Ekven_IA.SG 0.761 -0.966
South_Africa_HG 0.253 0.064
Yana_UP 1.067 -0.926
Bahamas_SouthAndros_Ceramic.SG 0.758 -1.093
BachoKiro 1.011 -0.538
Iran_TepeAbdulHosein_N.SG 0.490 -0.698
Mota -0.323 0.050
CHG 0.928 -1.530
WHG 2.157 -1.420
Morocco_EN -1.234 1.407
A:
scale 1.414 1.414
Boncuklu_N.SG 1.414 0.000
PPNB 0.000 1.414


best coefficients: 0.799 0.201
Jackknife mean: 0.799246960 0.200753040
std. errors: 0.048 0.048

error covariance (* 1,000,000)
2297 -2297
-2297 2297


summ: Barcin_N.SG 2 0.913397 0.799 0.201 2297 -2297 2297

fixed pat wt dof chisq tail prob
00 0 10 4.648 0.913397 0.799 0.201
01 1 11 20.509 0.038833 1.000 0.000
10 1 11 166.726 5.56295e-30 0.000 1.000
best pat: 00 0.913397 - -
best pat: 01 0.038833 chi(nested): 15.860 p-value for nested model: 6.81923e-05

coeffs: 0.799 0.201

## dscore:: f_4(Base, Fit, Rbase, right2)
## genstat:: f_4(Base, Fit, right1, right2)

details: Boncuklu_N.SG DevilsGate_N 0.000152 0.666569
details: PPNB DevilsGate_N -0.001137 -4.363924
dscore: DevilsGate_N f4: -0.000107 Z: -0.502672

details: Boncuklu_N.SG Ekven_IA.SG 0.000238 1.060674
details: PPNB Ekven_IA.SG -0.001159 -4.681382
dscore: Ekven_IA.SG f4: -0.000042 Z: -0.203771

details: Boncuklu_N.SG South_Africa_HG 0.000079 0.527584
details: PPNB South_Africa_HG 0.000076 0.429490
dscore: South_Africa_HG f4: 0.000079 Z: 0.563794

details: Boncuklu_N.SG Yana_UP 0.000334 1.469581
details: PPNB Yana_UP -0.001111 -4.273953
dscore: Yana_UP f4: 0.000044 Z: 0.207780

details: Boncuklu_N.SG Bahamas_SouthAndros_Ceramic.SG 0.000237 1.034059
details: PPNB Bahamas_SouthAndros_Ceramic.SG -0.001312 -5.231506
dscore: Bahamas_SouthAndros_Ceramic.SG f4: -0.000073 Z: -0.346966

details: Boncuklu_N.SG BachoKiro 0.000316 1.388535
details: PPNB BachoKiro -0.000645 -2.563237
dscore: BachoKiro f4: 0.000123 Z: 0.591807

details: Boncuklu_N.SG Iran_TepeAbdulHosein_N.SG 0.000153 0.703834
details: PPNB Iran_TepeAbdulHosein_N.SG -0.000837 -3.329150
dscore: Iran_TepeAbdulHosein_N.SG f4: -0.000045 Z: -0.225526

details: Boncuklu_N.SG Mota -0.000101 -0.496191
details: PPNB Mota 0.000060 0.270870
dscore: Mota f4: -0.000069 Z: -0.371413

details: Boncuklu_N.SG CHG 0.000290 1.236894
details: PPNB CHG -0.001836 -6.624569
dscore: CHG f4: -0.000136 Z: -0.622529

details: Boncuklu_N.SG WHG 0.000675 2.824990
details: PPNB WHG -0.001704 -6.260185
dscore: WHG f4: 0.000198 Z: 0.898230

details: Boncuklu_N.SG Morocco_EN -0.000386 -1.574916
details: PPNB Morocco_EN 0.001688 5.994215
dscore: Morocco_EN f4: 0.000030 Z: 0.132157

gendstat: Cameroon_SMA.SG DevilsGate_N -0.503
gendstat: Cameroon_SMA.SG Ekven_IA.SG -0.204
gendstat: Cameroon_SMA.SG South_Africa_HG 0.564
gendstat: Cameroon_SMA.SG Yana_UP 0.208
gendstat: Cameroon_SMA.SG Bahamas_SouthAndros_Ceramic.SG -0.347
gendstat: Cameroon_SMA.SG BachoKiro 0.592
gendstat: Cameroon_SMA.SG Iran_TepeAbdulHosein_N.SG -0.226
gendstat: Cameroon_SMA.SG Mota -0.371
gendstat: Cameroon_SMA.SG CHG -0.623
gendstat: Cameroon_SMA.SG WHG 0.898
gendstat: Cameroon_SMA.SG Morocco_EN 0.132
gendstat: DevilsGate_N Ekven_IA.SG 0.412
gendstat: DevilsGate_N South_Africa_HG 0.906
gendstat: DevilsGate_N Yana_UP 0.713
gendstat: DevilsGate_N Bahamas_SouthAndros_Ceramic.SG 0.199
gendstat: DevilsGate_N BachoKiro 1.096
gendstat: DevilsGate_N Iran_TepeAbdulHosein_N.SG 0.296
gendstat: DevilsGate_N Mota 0.161
gendstat: DevilsGate_N CHG -0.130
gendstat: DevilsGate_N WHG 1.402
gendstat: DevilsGate_N Morocco_EN 0.590
gendstat: Ekven_IA.SG South_Africa_HG 0.595
gendstat: Ekven_IA.SG Yana_UP 0.441
gendstat: Ekven_IA.SG Bahamas_SouthAndros_Ceramic.SG -0.216
gendstat: Ekven_IA.SG BachoKiro 0.804
gendstat: Ekven_IA.SG Iran_TepeAbdulHosein_N.SG -0.017
gendstat: Ekven_IA.SG Mota -0.118
gendstat: Ekven_IA.SG CHG -0.436
gendstat: Ekven_IA.SG WHG 1.148
gendstat: Ekven_IA.SG Morocco_EN 0.308
gendstat: South_Africa_HG Yana_UP -0.162
gendstat: South_Africa_HG Bahamas_SouthAndros_Ceramic.SG -0.744
gendstat: South_Africa_HG BachoKiro 0.220
gendstat: South_Africa_HG Iran_TepeAbdulHosein_N.SG -0.634
gendstat: South_Africa_HG Mota -0.851
gendstat: South_Africa_HG CHG -0.997
gendstat: South_Africa_HG WHG 0.567
gendstat: South_Africa_HG Morocco_EN -0.227
gendstat: Yana_UP Bahamas_SouthAndros_Ceramic.SG -0.604
gendstat: Yana_UP BachoKiro 0.370
gendstat: Yana_UP Iran_TepeAbdulHosein_N.SG -0.418
gendstat: Yana_UP Mota -0.472
gendstat: Yana_UP CHG -0.789
gendstat: Yana_UP WHG 0.733
gendstat: Yana_UP Morocco_EN -0.062
gendstat: Bahamas_SouthAndros_Ceramic.SG BachoKiro 0.925
gendstat: Bahamas_SouthAndros_Ceramic.SG Iran_TepeAbdulHosein_N.SG 0.144
gendstat: Bahamas_SouthAndros_Ceramic.SG Mota 0.019
gendstat: Bahamas_SouthAndros_Ceramic.SG CHG -0.284
gendstat: Bahamas_SouthAndros_Ceramic.SG WHG 1.265
gendstat: Bahamas_SouthAndros_Ceramic.SG Morocco_EN 0.437
gendstat: BachoKiro Iran_TepeAbdulHosein_N.SG -0.796
gendstat: BachoKiro Mota -0.832
gendstat: BachoKiro CHG -1.105
gendstat: BachoKiro WHG 0.331
gendstat: BachoKiro Morocco_EN -0.398
gendstat: Iran_TepeAbdulHosein_N.SG Mota -0.103
gendstat: Iran_TepeAbdulHosein_N.SG CHG -0.439
gendstat: Iran_TepeAbdulHosein_N.SG WHG 1.118
gendstat: Iran_TepeAbdulHosein_N.SG Morocco_EN 0.322
gendstat: Mota CHG -0.273
gendstat: Mota WHG 1.102
gendstat: Mota Morocco_EN 0.411
gendstat: CHG WHG 1.542
gendstat: CHG Morocco_EN 0.675
gendstat: WHG Morocco_EN -0.713









left pops:
Barcin_N.SG
Boncuklu_N.SG
Natufian

right pops:
Cameroon_SMA.SG
DevilsGate_N
Ekven_IA.SG
South_Africa_HG
Yana_UP
Bahamas_SouthAndros_Ceramic.SG
BachoKiro
Iran_TepeAbdulHosein_N.SG
Mota
CHG
WHG
Morocco_EN

0 Barcin_N.SG 3
1 Boncuklu_N.SG 6
2 Natufian 6
3 Cameroon_SMA.SG 2
4 DevilsGate_N 4
5 Ekven_IA.SG 10
6 South_Africa_HG 4
7 Yana_UP 2
8 Bahamas_SouthAndros_Ceramic.SG 4
9 BachoKiro 3
10 Iran_TepeAbdulHosein_N.SG 3
11 Mota 1
12 CHG 2
13 WHG 2
14 Morocco_EN 3
jackknife block size: 0.050
snps: 1150463 indivs: 55
number of blocks for block jackknife: 714
## ncols: 1150463
coverage: Barcin_N.SG 1150122
coverage: Boncuklu_N.SG 1138952
coverage: Natufian 529354
coverage: Cameroon_SMA.SG 1148760
coverage: DevilsGate_N 1134715
coverage: Ekven_IA.SG 1144810
coverage: South_Africa_HG 1135129
coverage: Yana_UP 1135189
coverage: Bahamas_SouthAndros_Ceramic.SG 1150077
coverage: BachoKiro 990561
coverage: Iran_TepeAbdulHosein_N.SG 1061032
coverage: Mota 1134612
coverage: CHG 1134595
coverage: WHG 1134826
coverage: Morocco_EN 653097
Effective number of blocks: 615.678
numsnps used: 409211
codimension 1
f4info:
f4rank: 1 dof: 10 chisq: 6.957 tail: 0.729533118 dofdiff: 12 chisqdiff: -6.957 taildiff: 1
B:
scale 1.000
DevilsGate_N 0.853
Ekven_IA.SG 0.918
South_Africa_HG -0.118
Yana_UP 0.949
Bahamas_SouthAndros_Ceramic.SG 0.978
BachoKiro 0.747
Iran_TepeAbdulHosein_N.SG 1.166
Mota -0.126
CHG 1.475
WHG 1.392
Morocco_EN -1.228
A:
scale 721.837
Boncuklu_N.SG 0.188
Natufian -1.402


full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 10 chisqdiff: 6.957 taildiff: 0.729533118
B:
scale 3913.401 507.238
DevilsGate_N 0.699 -0.848
Ekven_IA.SG 0.046 -0.962
South_Africa_HG 0.442 0.171
Yana_UP 0.923 -0.926
Bahamas_SouthAndros_Ceramic.SG 0.433 -1.015
BachoKiro 0.948 -0.728
Iran_TepeAbdulHosein_N.SG 0.468 -1.223
Mota -0.739 0.071
CHG 0.721 -1.527
WHG 2.027 -1.307
Morocco_EN -1.727 1.170
A:
scale 1.414 1.414
Boncuklu_N.SG 1.414 0.000
Natufian 0.000 1.414


best coefficients: 0.882 0.118
Jackknife mean: 0.881378075 0.118621925
std. errors: 0.036 0.036

error covariance (* 1,000,000)
1328 -1328
-1328 1328


summ: Barcin_N.SG 2 0.729533 0.881 0.119 1328 -1328 1328

fixed pat wt dof chisq tail prob
00 0 10 6.957 0.729533 0.882 0.118
01 1 11 16.691 0.117351 1.000 0.000
10 1 11 270.481 0 0.000 1.000
best pat: 00 0.729533 - -
best pat: 01 0.117351 chi(nested): 9.734 p-value for nested model: 0.00180846

coeffs: 0.882 0.118

## dscore:: f_4(Base, Fit, Rbase, right2)
## genstat:: f_4(Base, Fit, right1, right2)

details: Boncuklu_N.SG DevilsGate_N 0.000179 0.711235
details: Natufian DevilsGate_N -0.001671 -4.919695
dscore: DevilsGate_N f4: -0.000040 Z: -0.167406

details: Boncuklu_N.SG Ekven_IA.SG 0.000012 0.049318
details: Natufian Ekven_IA.SG -0.001896 -5.884108
dscore: Ekven_IA.SG f4: -0.000214 Z: -0.936098

details: Boncuklu_N.SG South_Africa_HG 0.000113 0.651869
details: Natufian South_Africa_HG 0.000337 1.420213
dscore: South_Africa_HG f4: 0.000139 Z: 0.839681

details: Boncuklu_N.SG Yana_UP 0.000236 0.996244
details: Natufian Yana_UP -0.001825 -5.293904
dscore: Yana_UP f4: -0.000008 Z: -0.033069

details: Boncuklu_N.SG Bahamas_SouthAndros_Ceramic.SG 0.000111 0.452862
details: Natufian Bahamas_SouthAndros_Ceramic.SG -0.002002 -6.004312
dscore: Bahamas_SouthAndros_Ceramic.SG f4: -0.000139 Z: -0.590930

details: Boncuklu_N.SG BachoKiro 0.000242 0.989756
details: Natufian BachoKiro -0.001435 -4.445154
dscore: BachoKiro f4: 0.000044 Z: 0.188678

details: Boncuklu_N.SG Iran_TepeAbdulHosein_N.SG 0.000119 0.510705
details: Natufian Iran_TepeAbdulHosein_N.SG -0.002411 -7.626853
dscore: Iran_TepeAbdulHosein_N.SG f4: -0.000179 Z: -0.809072

details: Boncuklu_N.SG Mota -0.000189 -0.853520
details: Natufian Mota 0.000140 0.461099
dscore: Mota f4: -0.000150 Z: -0.717530

details: Boncuklu_N.SG CHG 0.000184 0.728149
details: Natufian CHG -0.003011 -8.722167
dscore: CHG f4: -0.000193 Z: -0.801444

details: Boncuklu_N.SG WHG 0.000518 2.055176
details: Natufian WHG -0.002576 -7.429471
dscore: WHG f4: 0.000153 Z: 0.633989

details: Boncuklu_N.SG Morocco_EN -0.000441 -1.747245
details: Natufian Morocco_EN 0.002306 6.410305
dscore: Morocco_EN f4: -0.000117 Z: -0.490056

gendstat: Cameroon_SMA.SG DevilsGate_N -0.167
gendstat: Cameroon_SMA.SG Ekven_IA.SG -0.936
gendstat: Cameroon_SMA.SG South_Africa_HG 0.840
gendstat: Cameroon_SMA.SG Yana_UP -0.033
gendstat: Cameroon_SMA.SG Bahamas_SouthAndros_Ceramic.SG -0.591
gendstat: Cameroon_SMA.SG BachoKiro 0.189
gendstat: Cameroon_SMA.SG Iran_TepeAbdulHosein_N.SG -0.809
gendstat: Cameroon_SMA.SG Mota -0.718
gendstat: Cameroon_SMA.SG CHG -0.801
gendstat: Cameroon_SMA.SG WHG 0.634
gendstat: Cameroon_SMA.SG Morocco_EN -0.490
gendstat: DevilsGate_N Ekven_IA.SG -0.997
gendstat: DevilsGate_N South_Africa_HG 0.780
gendstat: DevilsGate_N Yana_UP 0.140
gendstat: DevilsGate_N Bahamas_SouthAndros_Ceramic.SG -0.520
gendstat: DevilsGate_N BachoKiro 0.356
gendstat: DevilsGate_N Iran_TepeAbdulHosein_N.SG -0.612
gendstat: DevilsGate_N Mota -0.418
gendstat: DevilsGate_N CHG -0.603
gendstat: DevilsGate_N WHG 0.823
gendstat: DevilsGate_N Morocco_EN -0.301
gendstat: Ekven_IA.SG South_Africa_HG 1.640
gendstat: Ekven_IA.SG Yana_UP 0.988
gendstat: Ekven_IA.SG Bahamas_SouthAndros_Ceramic.SG 0.473
gendstat: Ekven_IA.SG BachoKiro 1.166
gendstat: Ekven_IA.SG Iran_TepeAbdulHosein_N.SG 0.167
gendstat: Ekven_IA.SG Mota 0.257
gendstat: Ekven_IA.SG CHG 0.086
gendstat: Ekven_IA.SG WHG 1.653
gendstat: Ekven_IA.SG Morocco_EN 0.385
gendstat: South_Africa_HG Yana_UP -0.645
gendstat: South_Africa_HG Bahamas_SouthAndros_Ceramic.SG -1.258
gendstat: South_Africa_HG BachoKiro -0.422
gendstat: South_Africa_HG Iran_TepeAbdulHosein_N.SG -1.433
gendstat: South_Africa_HG Mota -1.411
gendstat: South_Africa_HG CHG -1.409
gendstat: South_Africa_HG WHG 0.058
gendstat: South_Africa_HG Morocco_EN -1.109
gendstat: Yana_UP Bahamas_SouthAndros_Ceramic.SG -0.612
gendstat: Yana_UP BachoKiro 0.220
gendstat: Yana_UP Iran_TepeAbdulHosein_N.SG -0.737
gendstat: Yana_UP Mota -0.549
gendstat: Yana_UP CHG -0.754
gendstat: Yana_UP WHG 0.727
gendstat: Yana_UP Morocco_EN -0.434
gendstat: Bahamas_SouthAndros_Ceramic.SG BachoKiro 0.776
gendstat: Bahamas_SouthAndros_Ceramic.SG Iran_TepeAbdulHosein_N.SG -0.192
gendstat: Bahamas_SouthAndros_Ceramic.SG Mota -0.043
gendstat: Bahamas_SouthAndros_Ceramic.SG CHG -0.222
gendstat: Bahamas_SouthAndros_Ceramic.SG WHG 1.269
gendstat: Bahamas_SouthAndros_Ceramic.SG Morocco_EN 0.087
gendstat: BachoKiro Iran_TepeAbdulHosein_N.SG -0.947
gendstat: BachoKiro Mota -0.748
gendstat: BachoKiro CHG -0.909
gendstat: BachoKiro WHG 0.441
gendstat: BachoKiro Morocco_EN -0.618
gendstat: Iran_TepeAbdulHosein_N.SG Mota 0.118
gendstat: Iran_TepeAbdulHosein_N.SG CHG -0.060
gendstat: Iran_TepeAbdulHosein_N.SG WHG 1.417
gendstat: Iran_TepeAbdulHosein_N.SG Morocco_EN 0.249
gendstat: Mota CHG -0.158
gendstat: Mota WHG 1.125
gendstat: Mota Morocco_EN 0.127
gendstat: CHG WHG 1.426
gendstat: CHG Morocco_EN 0.291
gendstat: WHG Morocco_EN -1.063

Liquid
02-05-2022, 11:01 AM
Distance doesn't mean anything.

Azerbaijanis shift towards Anatolians not because they come from the exact same source population, but because they both share largely the same Neolithic components (at different variations) and have a slight increase in East Asian admixture relative to their immediate neighbors.

The usage of distance to push an agenda is laughable.

I was just responding to your "azeris are closest to Iranian communities than to their other neighbors", which pushes the Persian agenda, they are clearly not. N/S Azerbaijanis are Turks and self-identify as such, they are closest to other Turks in the region.

hantrolugharsts
02-05-2022, 11:28 AM
I wanted to check:



Target: hantro
Distance: 0.1464% / 0.14640501
100.0 Iranian_Azeri


Target: Father
Distance: 0.1454% / 0.14543724
100.0 Iranian_Azeri

Azadmard101
02-05-2022, 04:59 PM
I was just responding to your "azeris are closest to Iranian communities than to their other neighbors", which pushes the Persian agenda, they are clearly not. N/S Azerbaijanis are Turks and self-identify as such, they are closest to other Turks in the region.

Distance isn't actually a metric of genetic heritage. I don't know what you're doing on a forum like this if you sincerely think it is.

Go on. Do some admixture breakdowns for yourself.

Azadmard101
02-05-2022, 05:03 PM
Anatolia_N and Levant_N probably aren't that drifted, its the extra African (Taforalt related) affinity in Levant_N that is causing them to seem a bit further away from each other than they actually are. These populations were likely intermixing periodically.


PPNB seems to be a mix of something Barcin related + Iran_N + Natufian






left pops:
PPNB
Barcin_N.SG
Iran_N
Natufian

right pops:
Cameroon_SMA.SG
DevilsGate_N
Ekven_IA.SG
South_Africa_HG
Yana_UP
Bahamas_SouthAndros_Ceramic.SG
BachoKiro
Iran_TepeAbdulHosein_N.SG
Mota
CHG
WHG
Morocco_EN

0 PPNB 12
1 Barcin_N.SG 3
2 Iran_N 4
3 Natufian 6
4 Cameroon_SMA.SG 2
5 DevilsGate_N 4
6 Ekven_IA.SG 10
7 South_Africa_HG 4
8 Yana_UP 2
9 Bahamas_SouthAndros_Ceramic.SG 4
10 BachoKiro 3
11 Iran_TepeAbdulHosein_N.SG 3
12 Mota 1
13 CHG 2
14 WHG 2
15 Morocco_EN 3
jackknife block size: 0.050
snps: 1150465 indivs: 65
number of blocks for block jackknife: 714
## ncols: 1150465
coverage: PPNB 862586
coverage: Barcin_N.SG 1150122
coverage: Iran_N 1002874
coverage: Natufian 529354
coverage: Cameroon_SMA.SG 1148760
coverage: DevilsGate_N 1134715
coverage: Ekven_IA.SG 1144810
coverage: South_Africa_HG 1135129
coverage: Yana_UP 1135189
coverage: Bahamas_SouthAndros_Ceramic.SG 1150077
coverage: BachoKiro 990561
coverage: Iran_TepeAbdulHosein_N.SG 1061032
coverage: Mota 1134612
coverage: CHG 1134595
coverage: WHG 1134826
coverage: Morocco_EN 653097
Effective number of blocks: 615.360
numsnps used: 365777
codimension 1
f4info:
f4rank: 2 dof: 9 chisq: 4.376 tail: 0.884999971 dofdiff: 11 chisqdiff: -4.376 taildiff: 1
B:
scale 1.000 1.000
DevilsGate_N 0.301 0.810
Ekven_IA.SG 0.353 0.934
South_Africa_HG -0.170 -0.078
Yana_UP -0.062 1.200
Bahamas_SouthAndros_Ceramic.SG 0.582 0.833
BachoKiro 0.249 0.659
Iran_TepeAbdulHosein_N.SG 2.410 -0.632
Mota -0.011 -0.017
CHG 1.068 1.011
WHG -0.767 2.340
Morocco_EN -1.677 -0.037
A:
scale 636.626 1431.715
Barcin_N.SG 0.433 1.475
Iran_N 1.613 -0.448
Natufian -0.458 -0.789


full rank
f4info:
f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 9 chisqdiff: 4.376 taildiff: 0.884999971
B:
scale 846.287 388.590 1111.429
DevilsGate_N 0.892 0.212 -0.798
Ekven_IA.SG 1.020 0.235 -0.915
South_Africa_HG -0.064 -0.120 0.356
Yana_UP 0.955 -0.228 -0.871
Bahamas_SouthAndros_Ceramic.SG 1.135 0.496 -0.859
BachoKiro 0.710 0.155 -0.697
Iran_TepeAbdulHosein_N.SG 0.740 2.404 -1.751
Mota 0.151 0.069 0.351
CHG 1.513 0.938 -1.450
WHG 1.568 -1.050 -0.956
Morocco_EN -1.067 -1.672 1.100
A:
scale 1.732 1.732 1.732
Barcin_N.SG 1.732 0.000 0.000
Iran_N 0.000 1.732 0.000
Natufian 0.000 0.000 1.732


best coefficients: 0.337 0.076 0.587
Jackknife mean: 0.338402586 0.076054844 0.585542570
std. errors: 0.062 0.025 0.050

error covariance (* 1,000,000)
3802 -976 -2826
-976 637 339
-2826 339 2487


summ: PPNB 3 0.885000 0.338 0.076 0.586 3802 -976 -2826 637 339 ...
2487

fixed pat wt dof chisq tail prob
000 0 9 4.376 0.885 0.337 0.076 0.587
001 1 10 124.148 7.26822e-22 1.043 -0.043 0.000 infeasible
010 1 10 13.596 0.19223 0.443 0.000 0.557
100 1 10 27.553 0.00212804 0.000 0.156 0.844
011 2 11 126.254 9.95401e-22 1.000 0.000 0.000
101 2 11 1044.021 0 0.000 1.000 0.000
110 2 11 64.096 1.59362e-09 0.000 0.000 1.000
best pat: 000 0.885 - -
best pat: 010 0.19223 chi(nested): 9.220 p-value for nested model: 0.00239336
best pat: 110 1.59362e-09 chi(nested): 50.500 p-value for nested model: 1.19187e-12

coeffs: 0.337 0.076 0.587

## dscore:: f_4(Base, Fit, Rbase, right2)
## genstat:: f_4(Base, Fit, right1, right2)

details: Barcin_N.SG DevilsGate_N 0.001054 3.690607
details: Iran_N DevilsGate_N 0.000545 1.644792
details: Natufian DevilsGate_N -0.000718 -2.109829
dscore: DevilsGate_N f4: -0.000024 Z: -0.093251

details: Barcin_N.SG Ekven_IA.SG 0.001205 4.453901
details: Iran_N Ekven_IA.SG 0.000606 1.995193
details: Natufian Ekven_IA.SG -0.000823 -2.611110
dscore: Ekven_IA.SG f4: -0.000031 Z: -0.126125

details: Barcin_N.SG South_Africa_HG -0.000076 -0.376047
details: Iran_N South_Africa_HG -0.000310 -1.340460
details: Natufian South_Africa_HG 0.000321 1.307453
dscore: South_Africa_HG f4: 0.000139 Z: 0.732486

details: Barcin_N.SG Yana_UP 0.001129 3.986823
details: Iran_N Yana_UP -0.000585 -1.800611
details: Natufian Yana_UP -0.000784 -2.284378
dscore: Yana_UP f4: -0.000124 Z: -0.474065

details: Barcin_N.SG Bahamas_SouthAndros_Ceramic.SG 0.001341 4.830469
details: Iran_N Bahamas_SouthAndros_Ceramic.SG 0.001276 4.018584
details: Natufian Bahamas_SouthAndros_Ceramic.SG -0.000773 -2.307446
dscore: Bahamas_SouthAndros_Ceramic.SG f4: 0.000096 Z: 0.374369

details: Barcin_N.SG BachoKiro 0.000839 2.986217
details: Iran_N BachoKiro 0.000398 1.233641
details: Natufian BachoKiro -0.000627 -1.875654
dscore: BachoKiro f4: -0.000055 Z: -0.208736

details: Barcin_N.SG Iran_TepeAbdulHosein_N.SG 0.000875 3.144269
details: Iran_N Iran_TepeAbdulHosein_N.SG 0.006187 19.326382
details: Natufian Iran_TepeAbdulHosein_N.SG -0.001575 -4.777588
dscore: Iran_TepeAbdulHosein_N.SG f4: -0.000158 Z: -0.608095

details: Barcin_N.SG Mota 0.000178 0.683429
details: Iran_N Mota 0.000176 0.541298
details: Natufian Mota 0.000316 0.978251
dscore: Mota f4: 0.000259 Z: 1.017113

details: Barcin_N.SG CHG 0.001788 5.845387
details: Iran_N CHG 0.002413 6.861768
details: Natufian CHG -0.001305 -3.744696
dscore: CHG f4: 0.000021 Z: 0.076117

details: Barcin_N.SG WHG 0.001852 6.318749
details: Iran_N WHG -0.002703 -8.123280
details: Natufian WHG -0.000860 -2.450783
dscore: WHG f4: -0.000086 Z: -0.316178

details: Barcin_N.SG Morocco_EN -0.001261 -4.151972
details: Iran_N Morocco_EN -0.004303 -11.623999
details: Natufian Morocco_EN 0.000990 2.630585
dscore: Morocco_EN f4: -0.000172 Z: -0.597525

gendstat: Cameroon_SMA.SG DevilsGate_N -0.093
gendstat: Cameroon_SMA.SG Ekven_IA.SG -0.126
gendstat: Cameroon_SMA.SG South_Africa_HG 0.732
gendstat: Cameroon_SMA.SG Yana_UP -0.474
gendstat: Cameroon_SMA.SG Bahamas_SouthAndros_Ceramic.SG 0.374
gendstat: Cameroon_SMA.SG BachoKiro -0.209
gendstat: Cameroon_SMA.SG Iran_TepeAbdulHosein_N.SG -0.608
gendstat: Cameroon_SMA.SG Mota 1.017
gendstat: Cameroon_SMA.SG CHG 0.076
gendstat: Cameroon_SMA.SG WHG -0.316
gendstat: Cameroon_SMA.SG Morocco_EN -0.598
gendstat: DevilsGate_N Ekven_IA.SG -0.031
gendstat: DevilsGate_N South_Africa_HG 0.639
gendstat: DevilsGate_N Yana_UP -0.390
gendstat: DevilsGate_N Bahamas_SouthAndros_Ceramic.SG 0.572
gendstat: DevilsGate_N BachoKiro -0.120
gendstat: DevilsGate_N Iran_TepeAbdulHosein_N.SG -0.545
gendstat: DevilsGate_N Mota 1.007
gendstat: DevilsGate_N CHG 0.169
gendstat: DevilsGate_N WHG -0.247
gendstat: DevilsGate_N Morocco_EN -0.500
gendstat: Ekven_IA.SG South_Africa_HG 0.668
gendstat: Ekven_IA.SG Yana_UP -0.394
gendstat: Ekven_IA.SG Bahamas_SouthAndros_Ceramic.SG 0.702
gendstat: Ekven_IA.SG BachoKiro -0.101
gendstat: Ekven_IA.SG Iran_TepeAbdulHosein_N.SG -0.521
gendstat: Ekven_IA.SG Mota 1.066
gendstat: Ekven_IA.SG CHG 0.200
gendstat: Ekven_IA.SG WHG -0.228
gendstat: Ekven_IA.SG Morocco_EN -0.488
gendstat: South_Africa_HG Yana_UP -0.951
gendstat: South_Africa_HG Bahamas_SouthAndros_Ceramic.SG -0.163
gendstat: South_Africa_HG BachoKiro -0.723
gendstat: South_Africa_HG Iran_TepeAbdulHosein_N.SG -1.121
gendstat: South_Africa_HG Mota 0.479
gendstat: South_Africa_HG CHG -0.425
gendstat: South_Africa_HG WHG -0.807
gendstat: South_Africa_HG Morocco_EN -1.087
gendstat: Yana_UP Bahamas_SouthAndros_Ceramic.SG 0.880
gendstat: Yana_UP BachoKiro 0.267
gendstat: Yana_UP Iran_TepeAbdulHosein_N.SG -0.128
gendstat: Yana_UP Mota 1.329
gendstat: Yana_UP CHG 0.542
gendstat: Yana_UP WHG 0.153
gendstat: Yana_UP Morocco_EN -0.156
gendstat: Bahamas_SouthAndros_Ceramic.SG BachoKiro -0.622
gendstat: Bahamas_SouthAndros_Ceramic.SG Iran_TepeAbdulHosein_N.SG -1.023
gendstat: Bahamas_SouthAndros_Ceramic.SG Mota 0.578
gendstat: Bahamas_SouthAndros_Ceramic.SG CHG -0.288
gendstat: Bahamas_SouthAndros_Ceramic.SG WHG -0.729
gendstat: Bahamas_SouthAndros_Ceramic.SG Morocco_EN -0.900
gendstat: BachoKiro Iran_TepeAbdulHosein_N.SG -0.388
gendstat: BachoKiro Mota 1.060
gendstat: BachoKiro CHG 0.274
gendstat: BachoKiro WHG -0.117
gendstat: BachoKiro Morocco_EN -0.381
gendstat: Iran_TepeAbdulHosein_N.SG Mota 1.406
gendstat: Iran_TepeAbdulHosein_N.SG CHG 0.710
gendstat: Iran_TepeAbdulHosein_N.SG WHG 0.277
gendstat: Iran_TepeAbdulHosein_N.SG Morocco_EN -0.049
gendstat: Mota CHG -0.792
gendstat: Mota WHG -1.142
gendstat: Mota Morocco_EN -1.387
gendstat: CHG WHG -0.395
gendstat: CHG Morocco_EN -0.618
gendstat: WHG Morocco_EN -0.282







Barcin also seems to have picked a sizable chunk of Natufian related ancestry from a PPNB related population.






left pops:
Barcin_N.SG
Boncuklu_N.SG
PPNB

right pops:
Cameroon_SMA.SG
DevilsGate_N
Ekven_IA.SG
South_Africa_HG
Yana_UP
Bahamas_SouthAndros_Ceramic.SG
BachoKiro
Iran_TepeAbdulHosein_N.SG
Mota
CHG
WHG
Morocco_EN

0 Barcin_N.SG 3
1 Boncuklu_N.SG 6
2 PPNB 12
3 Cameroon_SMA.SG 2
4 DevilsGate_N 4
5 Ekven_IA.SG 10
6 South_Africa_HG 4
7 Yana_UP 2
8 Bahamas_SouthAndros_Ceramic.SG 4
9 BachoKiro 3
10 Iran_TepeAbdulHosein_N.SG 3
11 Mota 1
12 CHG 2
13 WHG 2
14 Morocco_EN 3
jackknife block size: 0.050
snps: 1150464 indivs: 61
number of blocks for block jackknife: 714
## ncols: 1150464
coverage: Barcin_N.SG 1150122
coverage: Boncuklu_N.SG 1138952
coverage: PPNB 862586
coverage: Cameroon_SMA.SG 1148760
coverage: DevilsGate_N 1134715
coverage: Ekven_IA.SG 1144810
coverage: South_Africa_HG 1135129
coverage: Yana_UP 1135189
coverage: Bahamas_SouthAndros_Ceramic.SG 1150077
coverage: BachoKiro 990561
coverage: Iran_TepeAbdulHosein_N.SG 1061032
coverage: Mota 1134612
coverage: CHG 1134595
coverage: WHG 1134826
coverage: Morocco_EN 653097
Effective number of blocks: 613.601
numsnps used: 610996
codimension 1
f4info:
f4rank: 1 dof: 10 chisq: 4.648 tail: 0.913396745 dofdiff: 12 chisqdiff: -4.648 taildiff: 1
B:
scale 1.000
DevilsGate_N 0.866
Ekven_IA.SG 0.927
South_Africa_HG -0.020
Yana_UP 0.954
Bahamas_SouthAndros_Ceramic.SG 1.040
BachoKiro 0.595
Iran_TepeAbdulHosein_N.SG 0.651
Mota -0.107
CHG 1.445
WHG 1.563
Morocco_EN -1.442
A:
scale 1169.033
Boncuklu_N.SG 0.344
PPNB -1.372


full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 10 chisqdiff: 4.648 taildiff: 0.913396745
B:
scale 3196.005 833.258
DevilsGate_N 0.486 -0.948
Ekven_IA.SG 0.761 -0.966
South_Africa_HG 0.253 0.064
Yana_UP 1.067 -0.926
Bahamas_SouthAndros_Ceramic.SG 0.758 -1.093
BachoKiro 1.011 -0.538
Iran_TepeAbdulHosein_N.SG 0.490 -0.698
Mota -0.323 0.050
CHG 0.928 -1.530
WHG 2.157 -1.420
Morocco_EN -1.234 1.407
A:
scale 1.414 1.414
Boncuklu_N.SG 1.414 0.000
PPNB 0.000 1.414


best coefficients: 0.799 0.201
Jackknife mean: 0.799246960 0.200753040
std. errors: 0.048 0.048

error covariance (* 1,000,000)
2297 -2297
-2297 2297


summ: Barcin_N.SG 2 0.913397 0.799 0.201 2297 -2297 2297

fixed pat wt dof chisq tail prob
00 0 10 4.648 0.913397 0.799 0.201
01 1 11 20.509 0.038833 1.000 0.000
10 1 11 166.726 5.56295e-30 0.000 1.000
best pat: 00 0.913397 - -
best pat: 01 0.038833 chi(nested): 15.860 p-value for nested model: 6.81923e-05

coeffs: 0.799 0.201

## dscore:: f_4(Base, Fit, Rbase, right2)
## genstat:: f_4(Base, Fit, right1, right2)

details: Boncuklu_N.SG DevilsGate_N 0.000152 0.666569
details: PPNB DevilsGate_N -0.001137 -4.363924
dscore: DevilsGate_N f4: -0.000107 Z: -0.502672

details: Boncuklu_N.SG Ekven_IA.SG 0.000238 1.060674
details: PPNB Ekven_IA.SG -0.001159 -4.681382
dscore: Ekven_IA.SG f4: -0.000042 Z: -0.203771

details: Boncuklu_N.SG South_Africa_HG 0.000079 0.527584
details: PPNB South_Africa_HG 0.000076 0.429490
dscore: South_Africa_HG f4: 0.000079 Z: 0.563794

details: Boncuklu_N.SG Yana_UP 0.000334 1.469581
details: PPNB Yana_UP -0.001111 -4.273953
dscore: Yana_UP f4: 0.000044 Z: 0.207780

details: Boncuklu_N.SG Bahamas_SouthAndros_Ceramic.SG 0.000237 1.034059
details: PPNB Bahamas_SouthAndros_Ceramic.SG -0.001312 -5.231506
dscore: Bahamas_SouthAndros_Ceramic.SG f4: -0.000073 Z: -0.346966

details: Boncuklu_N.SG BachoKiro 0.000316 1.388535
details: PPNB BachoKiro -0.000645 -2.563237
dscore: BachoKiro f4: 0.000123 Z: 0.591807

details: Boncuklu_N.SG Iran_TepeAbdulHosein_N.SG 0.000153 0.703834
details: PPNB Iran_TepeAbdulHosein_N.SG -0.000837 -3.329150
dscore: Iran_TepeAbdulHosein_N.SG f4: -0.000045 Z: -0.225526

details: Boncuklu_N.SG Mota -0.000101 -0.496191
details: PPNB Mota 0.000060 0.270870
dscore: Mota f4: -0.000069 Z: -0.371413

details: Boncuklu_N.SG CHG 0.000290 1.236894
details: PPNB CHG -0.001836 -6.624569
dscore: CHG f4: -0.000136 Z: -0.622529

details: Boncuklu_N.SG WHG 0.000675 2.824990
details: PPNB WHG -0.001704 -6.260185
dscore: WHG f4: 0.000198 Z: 0.898230

details: Boncuklu_N.SG Morocco_EN -0.000386 -1.574916
details: PPNB Morocco_EN 0.001688 5.994215
dscore: Morocco_EN f4: 0.000030 Z: 0.132157

gendstat: Cameroon_SMA.SG DevilsGate_N -0.503
gendstat: Cameroon_SMA.SG Ekven_IA.SG -0.204
gendstat: Cameroon_SMA.SG South_Africa_HG 0.564
gendstat: Cameroon_SMA.SG Yana_UP 0.208
gendstat: Cameroon_SMA.SG Bahamas_SouthAndros_Ceramic.SG -0.347
gendstat: Cameroon_SMA.SG BachoKiro 0.592
gendstat: Cameroon_SMA.SG Iran_TepeAbdulHosein_N.SG -0.226
gendstat: Cameroon_SMA.SG Mota -0.371
gendstat: Cameroon_SMA.SG CHG -0.623
gendstat: Cameroon_SMA.SG WHG 0.898
gendstat: Cameroon_SMA.SG Morocco_EN 0.132
gendstat: DevilsGate_N Ekven_IA.SG 0.412
gendstat: DevilsGate_N South_Africa_HG 0.906
gendstat: DevilsGate_N Yana_UP 0.713
gendstat: DevilsGate_N Bahamas_SouthAndros_Ceramic.SG 0.199
gendstat: DevilsGate_N BachoKiro 1.096
gendstat: DevilsGate_N Iran_TepeAbdulHosein_N.SG 0.296
gendstat: DevilsGate_N Mota 0.161
gendstat: DevilsGate_N CHG -0.130
gendstat: DevilsGate_N WHG 1.402
gendstat: DevilsGate_N Morocco_EN 0.590
gendstat: Ekven_IA.SG South_Africa_HG 0.595
gendstat: Ekven_IA.SG Yana_UP 0.441
gendstat: Ekven_IA.SG Bahamas_SouthAndros_Ceramic.SG -0.216
gendstat: Ekven_IA.SG BachoKiro 0.804
gendstat: Ekven_IA.SG Iran_TepeAbdulHosein_N.SG -0.017
gendstat: Ekven_IA.SG Mota -0.118
gendstat: Ekven_IA.SG CHG -0.436
gendstat: Ekven_IA.SG WHG 1.148
gendstat: Ekven_IA.SG Morocco_EN 0.308
gendstat: South_Africa_HG Yana_UP -0.162
gendstat: South_Africa_HG Bahamas_SouthAndros_Ceramic.SG -0.744
gendstat: South_Africa_HG BachoKiro 0.220
gendstat: South_Africa_HG Iran_TepeAbdulHosein_N.SG -0.634
gendstat: South_Africa_HG Mota -0.851
gendstat: South_Africa_HG CHG -0.997
gendstat: South_Africa_HG WHG 0.567
gendstat: South_Africa_HG Morocco_EN -0.227
gendstat: Yana_UP Bahamas_SouthAndros_Ceramic.SG -0.604
gendstat: Yana_UP BachoKiro 0.370
gendstat: Yana_UP Iran_TepeAbdulHosein_N.SG -0.418
gendstat: Yana_UP Mota -0.472
gendstat: Yana_UP CHG -0.789
gendstat: Yana_UP WHG 0.733
gendstat: Yana_UP Morocco_EN -0.062
gendstat: Bahamas_SouthAndros_Ceramic.SG BachoKiro 0.925
gendstat: Bahamas_SouthAndros_Ceramic.SG Iran_TepeAbdulHosein_N.SG 0.144
gendstat: Bahamas_SouthAndros_Ceramic.SG Mota 0.019
gendstat: Bahamas_SouthAndros_Ceramic.SG CHG -0.284
gendstat: Bahamas_SouthAndros_Ceramic.SG WHG 1.265
gendstat: Bahamas_SouthAndros_Ceramic.SG Morocco_EN 0.437
gendstat: BachoKiro Iran_TepeAbdulHosein_N.SG -0.796
gendstat: BachoKiro Mota -0.832
gendstat: BachoKiro CHG -1.105
gendstat: BachoKiro WHG 0.331
gendstat: BachoKiro Morocco_EN -0.398
gendstat: Iran_TepeAbdulHosein_N.SG Mota -0.103
gendstat: Iran_TepeAbdulHosein_N.SG CHG -0.439
gendstat: Iran_TepeAbdulHosein_N.SG WHG 1.118
gendstat: Iran_TepeAbdulHosein_N.SG Morocco_EN 0.322
gendstat: Mota CHG -0.273
gendstat: Mota WHG 1.102
gendstat: Mota Morocco_EN 0.411
gendstat: CHG WHG 1.542
gendstat: CHG Morocco_EN 0.675
gendstat: WHG Morocco_EN -0.713









left pops:
Barcin_N.SG
Boncuklu_N.SG
Natufian

right pops:
Cameroon_SMA.SG
DevilsGate_N
Ekven_IA.SG
South_Africa_HG
Yana_UP
Bahamas_SouthAndros_Ceramic.SG
BachoKiro
Iran_TepeAbdulHosein_N.SG
Mota
CHG
WHG
Morocco_EN

0 Barcin_N.SG 3
1 Boncuklu_N.SG 6
2 Natufian 6
3 Cameroon_SMA.SG 2
4 DevilsGate_N 4
5 Ekven_IA.SG 10
6 South_Africa_HG 4
7 Yana_UP 2
8 Bahamas_SouthAndros_Ceramic.SG 4
9 BachoKiro 3
10 Iran_TepeAbdulHosein_N.SG 3
11 Mota 1
12 CHG 2
13 WHG 2
14 Morocco_EN 3
jackknife block size: 0.050
snps: 1150463 indivs: 55
number of blocks for block jackknife: 714
## ncols: 1150463
coverage: Barcin_N.SG 1150122
coverage: Boncuklu_N.SG 1138952
coverage: Natufian 529354
coverage: Cameroon_SMA.SG 1148760
coverage: DevilsGate_N 1134715
coverage: Ekven_IA.SG 1144810
coverage: South_Africa_HG 1135129
coverage: Yana_UP 1135189
coverage: Bahamas_SouthAndros_Ceramic.SG 1150077
coverage: BachoKiro 990561
coverage: Iran_TepeAbdulHosein_N.SG 1061032
coverage: Mota 1134612
coverage: CHG 1134595
coverage: WHG 1134826
coverage: Morocco_EN 653097
Effective number of blocks: 615.678
numsnps used: 409211
codimension 1
f4info:
f4rank: 1 dof: 10 chisq: 6.957 tail: 0.729533118 dofdiff: 12 chisqdiff: -6.957 taildiff: 1
B:
scale 1.000
DevilsGate_N 0.853
Ekven_IA.SG 0.918
South_Africa_HG -0.118
Yana_UP 0.949
Bahamas_SouthAndros_Ceramic.SG 0.978
BachoKiro 0.747
Iran_TepeAbdulHosein_N.SG 1.166
Mota -0.126
CHG 1.475
WHG 1.392
Morocco_EN -1.228
A:
scale 721.837
Boncuklu_N.SG 0.188
Natufian -1.402


full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 10 chisqdiff: 6.957 taildiff: 0.729533118
B:
scale 3913.401 507.238
DevilsGate_N 0.699 -0.848
Ekven_IA.SG 0.046 -0.962
South_Africa_HG 0.442 0.171
Yana_UP 0.923 -0.926
Bahamas_SouthAndros_Ceramic.SG 0.433 -1.015
BachoKiro 0.948 -0.728
Iran_TepeAbdulHosein_N.SG 0.468 -1.223
Mota -0.739 0.071
CHG 0.721 -1.527
WHG 2.027 -1.307
Morocco_EN -1.727 1.170
A:
scale 1.414 1.414
Boncuklu_N.SG 1.414 0.000
Natufian 0.000 1.414


best coefficients: 0.882 0.118
Jackknife mean: 0.881378075 0.118621925
std. errors: 0.036 0.036

error covariance (* 1,000,000)
1328 -1328
-1328 1328


summ: Barcin_N.SG 2 0.729533 0.881 0.119 1328 -1328 1328

fixed pat wt dof chisq tail prob
00 0 10 6.957 0.729533 0.882 0.118
01 1 11 16.691 0.117351 1.000 0.000
10 1 11 270.481 0 0.000 1.000
best pat: 00 0.729533 - -
best pat: 01 0.117351 chi(nested): 9.734 p-value for nested model: 0.00180846

coeffs: 0.882 0.118

## dscore:: f_4(Base, Fit, Rbase, right2)
## genstat:: f_4(Base, Fit, right1, right2)

details: Boncuklu_N.SG DevilsGate_N 0.000179 0.711235
details: Natufian DevilsGate_N -0.001671 -4.919695
dscore: DevilsGate_N f4: -0.000040 Z: -0.167406

details: Boncuklu_N.SG Ekven_IA.SG 0.000012 0.049318
details: Natufian Ekven_IA.SG -0.001896 -5.884108
dscore: Ekven_IA.SG f4: -0.000214 Z: -0.936098

details: Boncuklu_N.SG South_Africa_HG 0.000113 0.651869
details: Natufian South_Africa_HG 0.000337 1.420213
dscore: South_Africa_HG f4: 0.000139 Z: 0.839681

details: Boncuklu_N.SG Yana_UP 0.000236 0.996244
details: Natufian Yana_UP -0.001825 -5.293904
dscore: Yana_UP f4: -0.000008 Z: -0.033069

details: Boncuklu_N.SG Bahamas_SouthAndros_Ceramic.SG 0.000111 0.452862
details: Natufian Bahamas_SouthAndros_Ceramic.SG -0.002002 -6.004312
dscore: Bahamas_SouthAndros_Ceramic.SG f4: -0.000139 Z: -0.590930

details: Boncuklu_N.SG BachoKiro 0.000242 0.989756
details: Natufian BachoKiro -0.001435 -4.445154
dscore: BachoKiro f4: 0.000044 Z: 0.188678

details: Boncuklu_N.SG Iran_TepeAbdulHosein_N.SG 0.000119 0.510705
details: Natufian Iran_TepeAbdulHosein_N.SG -0.002411 -7.626853
dscore: Iran_TepeAbdulHosein_N.SG f4: -0.000179 Z: -0.809072

details: Boncuklu_N.SG Mota -0.000189 -0.853520
details: Natufian Mota 0.000140 0.461099
dscore: Mota f4: -0.000150 Z: -0.717530

details: Boncuklu_N.SG CHG 0.000184 0.728149
details: Natufian CHG -0.003011 -8.722167
dscore: CHG f4: -0.000193 Z: -0.801444

details: Boncuklu_N.SG WHG 0.000518 2.055176
details: Natufian WHG -0.002576 -7.429471
dscore: WHG f4: 0.000153 Z: 0.633989

details: Boncuklu_N.SG Morocco_EN -0.000441 -1.747245
details: Natufian Morocco_EN 0.002306 6.410305
dscore: Morocco_EN f4: -0.000117 Z: -0.490056

gendstat: Cameroon_SMA.SG DevilsGate_N -0.167
gendstat: Cameroon_SMA.SG Ekven_IA.SG -0.936
gendstat: Cameroon_SMA.SG South_Africa_HG 0.840
gendstat: Cameroon_SMA.SG Yana_UP -0.033
gendstat: Cameroon_SMA.SG Bahamas_SouthAndros_Ceramic.SG -0.591
gendstat: Cameroon_SMA.SG BachoKiro 0.189
gendstat: Cameroon_SMA.SG Iran_TepeAbdulHosein_N.SG -0.809
gendstat: Cameroon_SMA.SG Mota -0.718
gendstat: Cameroon_SMA.SG CHG -0.801
gendstat: Cameroon_SMA.SG WHG 0.634
gendstat: Cameroon_SMA.SG Morocco_EN -0.490
gendstat: DevilsGate_N Ekven_IA.SG -0.997
gendstat: DevilsGate_N South_Africa_HG 0.780
gendstat: DevilsGate_N Yana_UP 0.140
gendstat: DevilsGate_N Bahamas_SouthAndros_Ceramic.SG -0.520
gendstat: DevilsGate_N BachoKiro 0.356
gendstat: DevilsGate_N Iran_TepeAbdulHosein_N.SG -0.612
gendstat: DevilsGate_N Mota -0.418
gendstat: DevilsGate_N CHG -0.603
gendstat: DevilsGate_N WHG 0.823
gendstat: DevilsGate_N Morocco_EN -0.301
gendstat: Ekven_IA.SG South_Africa_HG 1.640
gendstat: Ekven_IA.SG Yana_UP 0.988
gendstat: Ekven_IA.SG Bahamas_SouthAndros_Ceramic.SG 0.473
gendstat: Ekven_IA.SG BachoKiro 1.166
gendstat: Ekven_IA.SG Iran_TepeAbdulHosein_N.SG 0.167
gendstat: Ekven_IA.SG Mota 0.257
gendstat: Ekven_IA.SG CHG 0.086
gendstat: Ekven_IA.SG WHG 1.653
gendstat: Ekven_IA.SG Morocco_EN 0.385
gendstat: South_Africa_HG Yana_UP -0.645
gendstat: South_Africa_HG Bahamas_SouthAndros_Ceramic.SG -1.258
gendstat: South_Africa_HG BachoKiro -0.422
gendstat: South_Africa_HG Iran_TepeAbdulHosein_N.SG -1.433
gendstat: South_Africa_HG Mota -1.411
gendstat: South_Africa_HG CHG -1.409
gendstat: South_Africa_HG WHG 0.058
gendstat: South_Africa_HG Morocco_EN -1.109
gendstat: Yana_UP Bahamas_SouthAndros_Ceramic.SG -0.612
gendstat: Yana_UP BachoKiro 0.220
gendstat: Yana_UP Iran_TepeAbdulHosein_N.SG -0.737
gendstat: Yana_UP Mota -0.549
gendstat: Yana_UP CHG -0.754
gendstat: Yana_UP WHG 0.727
gendstat: Yana_UP Morocco_EN -0.434
gendstat: Bahamas_SouthAndros_Ceramic.SG BachoKiro 0.776
gendstat: Bahamas_SouthAndros_Ceramic.SG Iran_TepeAbdulHosein_N.SG -0.192
gendstat: Bahamas_SouthAndros_Ceramic.SG Mota -0.043
gendstat: Bahamas_SouthAndros_Ceramic.SG CHG -0.222
gendstat: Bahamas_SouthAndros_Ceramic.SG WHG 1.269
gendstat: Bahamas_SouthAndros_Ceramic.SG Morocco_EN 0.087
gendstat: BachoKiro Iran_TepeAbdulHosein_N.SG -0.947
gendstat: BachoKiro Mota -0.748
gendstat: BachoKiro CHG -0.909
gendstat: BachoKiro WHG 0.441
gendstat: BachoKiro Morocco_EN -0.618
gendstat: Iran_TepeAbdulHosein_N.SG Mota 0.118
gendstat: Iran_TepeAbdulHosein_N.SG CHG -0.060
gendstat: Iran_TepeAbdulHosein_N.SG WHG 1.417
gendstat: Iran_TepeAbdulHosein_N.SG Morocco_EN 0.249
gendstat: Mota CHG -0.158
gendstat: Mota WHG 1.125
gendstat: Mota Morocco_EN 0.127
gendstat: CHG WHG 1.426
gendstat: CHG Morocco_EN 0.291
gendstat: WHG Morocco_EN -1.063






It is inappropriate to model Barcin using PPNB because these samples come from the same general time period. Likewise, you shouldn't be using Iran_N either.

If you're going to try and run a model for Barcin_N, PPNB or Ganj_Dareh_N, use components that can actually be considered ancestral, such as Pinarbasi_HG, Hotullb_Mesolithic or Natufian.

Mnemonics
02-06-2022, 12:28 PM
It is inappropriate to model Barcin using PPNB because these samples come from the same general time period. Likewise, you shouldn't be using Iran_N either.

If you're going to try and run a model for Barcin_N, PPNB or Ganj_Dareh_N, use components that can actually be considered ancestral, such as Pinarbasi_HG, Hotullb_Mesolithic or Natufian.


The rules applied for G25 are not needed when using qpAdm. QpAdm takes a measure of the drift shared between the sample being modeled and the populations in the right popslist and tries to match that resulting drift value with a proportional mixture of the source populations, which means you can use samples that are not necessarily ancestral to the modeled population and still be relatively accurate if the sources are distinguished enough by the populations in the right pops list.

The model for Barcin as Boncuklu_N + PPNB remains sucessful with Natufian, Pinarbasi, CHG, Morocco_EN, and Iran_N( Hotullb_Mesolithic is unfortunately a very poor sample so I couldn't include it) in the right popslist (which are the main sources of ancestral variation in ancient West Asians) so the actual source populations probably weren't extremely different from these two populations.

Barcin probably didn't get its excess Taforalt related ancestry directly from a Natufian-like population simply due to the sheer distances involved so it makes sense that a more Anatolia_N rich population like PPNB would work as a better proxy for the true ancestral source population. Most of the PPNB and Boncuklu_N samples are significantly older (8th-7th millenium BCE) than the Barcin (late 6th millenium BCE) samples so admixture between these two populations creating Barcin is not exactly unlikely.






left pops:
Barcin_N.SG
Boncuklu_N.SG
PPNB

right pops:
Cameroon_SMA.SG
Mota
South_Africa_HG
BachoKiro
Eastern_Euro_UP.SG
Nepal_Samdzong_1500BP.SG
Yana_UP
Kazakhstan_Botai_Eneolithic.SG
Iran_N.SG
Anatolia_Epipaleolithic
British_Mesolithic.SG
Russia_Mesolithic.SG
Sweden_Mesolithic.SG
Italy_Mesolithic.SG
Romania_IronGates_Mesolithic.SG
Morocco_EN.SG
Natufian

0 Barcin_N.SG 3
1 Boncuklu_N.SG 6
2 PPNB 11
3 Cameroon_SMA.SG 3
4 Mota 1
5 South_Africa_HG 4
6 BachoKiro 3
7 Eastern_Euro_UP.SG 3
8 Nepal_Samdzong_1500BP.SG 3
9 Yana_UP 2
10 Kazakhstan_Botai_Eneolithic.SG 3
11 Iran_N.SG 4
12 Anatolia_Epipaleolithic 1
13 British_Mesolithic.SG 3
14 Russia_Mesolithic.SG 2
15 Sweden_Mesolithic.SG 3
16 Italy_Mesolithic.SG 3
17 Romania_IronGates_Mesolithic.SG 3
18 Morocco_EN.SG 3
19 Natufian 6
jackknife block size: 0.050
snps: 1150464 indivs: 70
number of blocks for block jackknife: 714
## ncols: 1150464
coverage: Barcin_N.SG 1150122
coverage: Boncuklu_N.SG 1138952
coverage: PPNB 816134
coverage: Cameroon_SMA.SG 1149654
coverage: Mota 1134612
coverage: South_Africa_HG 1135129
coverage: BachoKiro 990561
coverage: Eastern_Euro_UP.SG 1150149
coverage: Nepal_Samdzong_1500BP.SG 1149327
coverage: Yana_UP 1135189
coverage: Kazakhstan_Botai_Eneolithic.SG 1149869
coverage: Iran_N.SG 1149571
coverage: Anatolia_Epipaleolithic 838782
coverage: British_Mesolithic.SG 1149936
coverage: Russia_Mesolithic.SG 1144318
coverage: Sweden_Mesolithic.SG 1144515
coverage: Italy_Mesolithic.SG 1141309
coverage: Romania_IronGates_Mesolithic.SG 1136384
coverage: Morocco_EN.SG 653097
coverage: Natufian 529354
Effective number of blocks: 621.530
numsnps used: 453661
codimension 1
f4info:
f4rank: 1 dof: 15 chisq: 9.538 tail: 0.847775539 dofdiff: 17 chisqdiff: -9.538 taildiff: 1
B:
scale 1.000
Mota 0.008
South_Africa_HG 0.069
BachoKiro 0.544
Eastern_Euro_UP.SG 0.713
Nepal_Samdzong_1500BP.SG 0.768
Yana_UP 0.595
Kazakhstan_Botai_Eneolithic.SG 0.943
Iran_N.SG 0.508
Anatolia_Epipaleolithic 2.100
British_Mesolithic.SG 0.958
Russia_Mesolithic.SG 1.138
Sweden_Mesolithic.SG 1.059
Italy_Mesolithic.SG 1.051
Romania_IronGates_Mesolithic.SG 1.220
Morocco_EN.SG -0.796
Natufian -1.460
A:
scale 1191.969
Boncuklu_N.SG 0.392
PPNB -1.359


full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 15 chisqdiff: 9.538 taildiff: 0.847775539
B:
scale 3459.235 825.640
Mota -0.997 -0.199
South_Africa_HG 0.276 -0.039
BachoKiro 0.633 -0.531
Eastern_Euro_UP.SG 0.154 -0.821
Nepal_Samdzong_1500BP.SG 0.573 -0.787
Yana_UP 0.401 -0.636
Kazakhstan_Botai_Eneolithic.SG 0.503 -1.002
Iran_N.SG 0.316 -0.541
Anatolia_Epipaleolithic 2.506 -1.974
British_Mesolithic.SG 0.551 -1.018
Russia_Mesolithic.SG 0.469 -1.239
Sweden_Mesolithic.SG 0.737 -1.091
Italy_Mesolithic.SG 0.172 -1.182
Romania_IronGates_Mesolithic.SG 0.928 -1.226
Morocco_EN.SG -1.221 0.665
Natufian -1.984 1.297
A:
scale 1.414 1.414
Boncuklu_N.SG 1.414 0.000
PPNB 0.000 1.414


best coefficients: 0.776 0.224
Jackknife mean: 0.775486837 0.224513163
std. errors: 0.033 0.033

error covariance (* 1,000,000)
1082 -1082
-1082 1082


summ: Barcin_N.SG 2 0.847776 0.775 0.225 1082 -1082 1082

fixed pat wt dof chisq tail prob
00 0 15 9.538 0.847776 0.776 0.224
01 1 16 48.851 3.48806e-05 1.000 0.000
10 1 16 318.457 0 0.000 1.000
best pat: 00 0.847776 - -
best pat: 01 3.48806e-05 chi(nested): 39.314 p-value for nested model: 3.60918e-10

coeffs: 0.776 0.224

## dscore:: f_4(Base, Fit, Rbase, right2)
## genstat:: f_4(Base, Fit, right1, right2)

details: Boncuklu_N.SG Mota -0.000288 -1.711169
details: PPNB Mota -0.000241 -1.217194
dscore: Mota f4: -0.000277 Z: -1.814964

details: Boncuklu_N.SG South_Africa_HG 0.000080 0.597217
details: PPNB South_Africa_HG -0.000047 -0.306476
dscore: South_Africa_HG f4: 0.000051 Z: 0.418219

details: Boncuklu_N.SG BachoKiro 0.000183 0.987505
details: PPNB BachoKiro -0.000643 -2.968346
dscore: BachoKiro f4: -0.000002 Z: -0.012421

details: Boncuklu_N.SG Eastern_Euro_UP.SG 0.000045 0.248606
details: PPNB Eastern_Euro_UP.SG -0.000994 -4.513971
dscore: Eastern_Euro_UP.SG f4: -0.000188 Z: -1.137026

details: Boncuklu_N.SG Nepal_Samdzong_1500BP.SG 0.000166 0.968788
details: PPNB Nepal_Samdzong_1500BP.SG -0.000953 -4.646382
dscore: Nepal_Samdzong_1500BP.SG f4: -0.000085 Z: -0.542496

details: Boncuklu_N.SG Yana_UP 0.000116 0.655382
details: PPNB Yana_UP -0.000771 -3.457791
dscore: Yana_UP f4: -0.000083 Z: -0.500319

details: Boncuklu_N.SG Kazakhstan_Botai_Eneolithic.SG 0.000145 0.856892
details: PPNB Kazakhstan_Botai_Eneolithic.SG -0.001213 -5.826388
dscore: Kazakhstan_Botai_Eneolithic.SG f4: -0.000159 Z: -1.019516

details: Boncuklu_N.SG Iran_N.SG 0.000091 0.561316
details: PPNB Iran_N.SG -0.000656 -3.201546
dscore: Iran_N.SG f4: -0.000076 Z: -0.497514

details: Boncuklu_N.SG Anatolia_Epipaleolithic 0.000724 3.104058
details: PPNB Anatolia_Epipaleolithic -0.002390 -9.243866
dscore: Anatolia_Epipaleolithic f4: 0.000027 Z: 0.126004

details: Boncuklu_N.SG British_Mesolithic.SG 0.000159 0.841032
details: PPNB British_Mesolithic.SG -0.001233 -5.681398
dscore: British_Mesolithic.SG f4: -0.000153 Z: -0.882569

details: Boncuklu_N.SG Russia_Mesolithic.SG 0.000135 0.698058
details: PPNB Russia_Mesolithic.SG -0.001501 -6.585571
dscore: Russia_Mesolithic.SG f4: -0.000231 Z: -1.300349

details: Boncuklu_N.SG Sweden_Mesolithic.SG 0.000213 1.072613
details: PPNB Sweden_Mesolithic.SG -0.001322 -5.937247
dscore: Sweden_Mesolithic.SG f4: -0.000131 Z: -0.718618

details: Boncuklu_N.SG Italy_Mesolithic.SG 0.000050 0.244283
details: PPNB Italy_Mesolithic.SG -0.001431 -6.051561
dscore: Italy_Mesolithic.SG f4: -0.000282 Z: -1.509782

details: Boncuklu_N.SG Romania_IronGates_Mesolithic.SG 0.000268 1.441093
details: PPNB Romania_IronGates_Mesolithic.SG -0.001484 -6.566024
dscore: Romania_IronGates_Mesolithic.SG f4: -0.000124 Z: -0.722686

details: Boncuklu_N.SG Morocco_EN.SG -0.000353 -1.893837
details: PPNB Morocco_EN.SG 0.000806 3.481674
dscore: Morocco_EN.SG f4: -0.000093 Z: -0.544354

details: Boncuklu_N.SG Natufian -0.000573 -2.862894
details: PPNB Natufian 0.001571 6.526361
dscore: Natufian f4: -0.000093 Z: -0.502209

gendstat: Cameroon_SMA.SG Mota -1.815
gendstat: Cameroon_SMA.SG South_Africa_HG 0.418
gendstat: Cameroon_SMA.SG BachoKiro -0.012
gendstat: Cameroon_SMA.SG Eastern_Euro_UP.SG -1.137
gendstat: Cameroon_SMA.SG Nepal_Samdzong_1500BP.SG -0.542
gendstat: Cameroon_SMA.SG Yana_UP -0.500
gendstat: Cameroon_SMA.SG Kazakhstan_Botai_Eneolithic.SG -1.020
gendstat: Cameroon_SMA.SG Iran_N.SG -0.498
gendstat: Cameroon_SMA.SG Anatolia_Epipaleolithic 0.126
gendstat: Cameroon_SMA.SG British_Mesolithic.SG -0.883
gendstat: Cameroon_SMA.SG Russia_Mesolithic.SG -1.300
gendstat: Cameroon_SMA.SG Sweden_Mesolithic.SG -0.719
gendstat: Cameroon_SMA.SG Italy_Mesolithic.SG -1.510
gendstat: Cameroon_SMA.SG Romania_IronGates_Mesolithic.SG -0.723
gendstat: Cameroon_SMA.SG Morocco_EN.SG -0.544
gendstat: Cameroon_SMA.SG Natufian -0.502
gendstat: Mota South_Africa_HG 2.166
gendstat: Mota BachoKiro 1.413
gendstat: Mota Eastern_Euro_UP.SG 0.465
gendstat: Mota Nepal_Samdzong_1500BP.SG 1.064
gendstat: Mota Yana_UP 1.029
gendstat: Mota Kazakhstan_Botai_Eneolithic.SG 0.644
gendstat: Mota Iran_N.SG 1.124
gendstat: Mota Anatolia_Epipaleolithic 1.317
gendstat: Mota British_Mesolithic.SG 0.626
gendstat: Mota Russia_Mesolithic.SG 0.232
gendstat: Mota Sweden_Mesolithic.SG 0.731
gendstat: Mota Italy_Mesolithic.SG -0.022
gendstat: Mota Romania_IronGates_Mesolithic.SG 0.782
gendstat: Mota Morocco_EN.SG 0.937
gendstat: Mota Natufian 0.887
gendstat: South_Africa_HG BachoKiro -0.324
gendstat: South_Africa_HG Eastern_Euro_UP.SG -1.415
gendstat: South_Africa_HG Nepal_Samdzong_1500BP.SG -0.872
gendstat: South_Africa_HG Yana_UP -0.793
gendstat: South_Africa_HG Kazakhstan_Botai_Eneolithic.SG -1.295
gendstat: South_Africa_HG Iran_N.SG -0.835
gendstat: South_Africa_HG Anatolia_Epipaleolithic -0.120
gendstat: South_Africa_HG British_Mesolithic.SG -1.171
gendstat: South_Africa_HG Russia_Mesolithic.SG -1.561
gendstat: South_Africa_HG Sweden_Mesolithic.SG -0.990
gendstat: South_Africa_HG Italy_Mesolithic.SG -1.835
gendstat: South_Africa_HG Romania_IronGates_Mesolithic.SG -1.012
gendstat: South_Africa_HG Morocco_EN.SG -0.847
gendstat: South_Africa_HG Natufian -0.774
gendstat: BachoKiro Eastern_Euro_UP.SG -1.058
gendstat: BachoKiro Nepal_Samdzong_1500BP.SG -0.486
gendstat: BachoKiro Yana_UP -0.452
gendstat: BachoKiro Kazakhstan_Botai_Eneolithic.SG -0.923
gendstat: BachoKiro Iran_N.SG -0.445
gendstat: BachoKiro Anatolia_Epipaleolithic 0.131
gendstat: BachoKiro British_Mesolithic.SG -0.806
gendstat: BachoKiro Russia_Mesolithic.SG -1.213
gendstat: BachoKiro Sweden_Mesolithic.SG -0.670
gendstat: BachoKiro Italy_Mesolithic.SG -1.429
gendstat: BachoKiro Romania_IronGates_Mesolithic.SG -0.644
gendstat: BachoKiro Morocco_EN.SG -0.464
gendstat: BachoKiro Natufian -0.458
gendstat: Eastern_Euro_UP.SG Nepal_Samdzong_1500BP.SG 0.651
gendstat: Eastern_Euro_UP.SG Yana_UP 0.652
gendstat: Eastern_Euro_UP.SG Kazakhstan_Botai_Eneolithic.SG 0.192
gendstat: Eastern_Euro_UP.SG Iran_N.SG 0.696
gendstat: Eastern_Euro_UP.SG Anatolia_Epipaleolithic 1.031
gendstat: Eastern_Euro_UP.SG British_Mesolithic.SG 0.222
gendstat: Eastern_Euro_UP.SG Russia_Mesolithic.SG -0.257
gendstat: Eastern_Euro_UP.SG Sweden_Mesolithic.SG 0.331
gendstat: Eastern_Euro_UP.SG Italy_Mesolithic.SG -0.559
gendstat: Eastern_Euro_UP.SG Romania_IronGates_Mesolithic.SG 0.399
gendstat: Eastern_Euro_UP.SG Morocco_EN.SG 0.515
gendstat: Eastern_Euro_UP.SG Natufian 0.496
gendstat: Nepal_Samdzong_1500BP.SG Yana_UP 0.015
gendstat: Nepal_Samdzong_1500BP.SG Kazakhstan_Botai_Eneolithic.SG -0.517
gendstat: Nepal_Samdzong_1500BP.SG Iran_N.SG 0.062
gendstat: Nepal_Samdzong_1500BP.SG Anatolia_Epipaleolithic 0.544
gendstat: Nepal_Samdzong_1500BP.SG British_Mesolithic.SG -0.398
gendstat: Nepal_Samdzong_1500BP.SG Russia_Mesolithic.SG -0.853
gendstat: Nepal_Samdzong_1500BP.SG Sweden_Mesolithic.SG -0.261
gendstat: Nepal_Samdzong_1500BP.SG Italy_Mesolithic.SG -1.089
gendstat: Nepal_Samdzong_1500BP.SG Romania_IronGates_Mesolithic.SG -0.238
gendstat: Nepal_Samdzong_1500BP.SG Morocco_EN.SG -0.045
gendstat: Nepal_Samdzong_1500BP.SG Natufian -0.043
gendstat: Yana_UP Kazakhstan_Botai_Eneolithic.SG -0.486
gendstat: Yana_UP Iran_N.SG 0.041
gendstat: Yana_UP Anatolia_Epipaleolithic 0.536
gendstat: Yana_UP British_Mesolithic.SG -0.437
gendstat: Yana_UP Russia_Mesolithic.SG -0.851
gendstat: Yana_UP Sweden_Mesolithic.SG -0.277
gendstat: Yana_UP Italy_Mesolithic.SG -1.165
gendstat: Yana_UP Romania_IronGates_Mesolithic.SG -0.251
gendstat: Yana_UP Morocco_EN.SG -0.055
gendstat: Yana_UP Natufian -0.054
gendstat: Kazakhstan_Botai_Eneolithic.SG Iran_N.SG 0.582
gendstat: Kazakhstan_Botai_Eneolithic.SG Anatolia_Epipaleolithic 0.913
gendstat: Kazakhstan_Botai_Eneolithic.SG British_Mesolithic.SG 0.041
gendstat: Kazakhstan_Botai_Eneolithic.SG Russia_Mesolithic.SG -0.488
gendstat: Kazakhstan_Botai_Eneolithic.SG Sweden_Mesolithic.SG 0.178
gendstat: Kazakhstan_Botai_Eneolithic.SG Italy_Mesolithic.SG -0.740
gendstat: Kazakhstan_Botai_Eneolithic.SG Romania_IronGates_Mesolithic.SG 0.224
gendstat: Kazakhstan_Botai_Eneolithic.SG Morocco_EN.SG 0.349
gendstat: Kazakhstan_Botai_Eneolithic.SG Natufian 0.370
gendstat: Iran_N.SG Anatolia_Epipaleolithic 0.499
gendstat: Iran_N.SG British_Mesolithic.SG -0.471
gendstat: Iran_N.SG Russia_Mesolithic.SG -0.924
gendstat: Iran_N.SG Sweden_Mesolithic.SG -0.325
gendstat: Iran_N.SG Italy_Mesolithic.SG -1.170
gendstat: Iran_N.SG Romania_IronGates_Mesolithic.SG -0.299
gendstat: Iran_N.SG Morocco_EN.SG -0.096
gendstat: Iran_N.SG Natufian -0.098
gendstat: Anatolia_Epipaleolithic British_Mesolithic.SG -0.861
gendstat: Anatolia_Epipaleolithic Russia_Mesolithic.SG -1.272
gendstat: Anatolia_Epipaleolithic Sweden_Mesolithic.SG -0.727
gendstat: Anatolia_Epipaleolithic Italy_Mesolithic.SG -1.434
gendstat: Anatolia_Epipaleolithic Romania_IronGates_Mesolithic.SG -0.721
gendstat: Anatolia_Epipaleolithic Morocco_EN.SG -0.528
gendstat: Anatolia_Epipaleolithic Natufian -0.567
gendstat: British_Mesolithic.SG Russia_Mesolithic.SG -0.504
gendstat: British_Mesolithic.SG Sweden_Mesolithic.SG 0.144
gendstat: British_Mesolithic.SG Italy_Mesolithic.SG -1.008
gendstat: British_Mesolithic.SG Romania_IronGates_Mesolithic.SG 0.203
gendstat: British_Mesolithic.SG Morocco_EN.SG 0.312
gendstat: British_Mesolithic.SG Natufian 0.322
gendstat: Russia_Mesolithic.SG Sweden_Mesolithic.SG 0.611
gendstat: Russia_Mesolithic.SG Italy_Mesolithic.SG -0.307
gendstat: Russia_Mesolithic.SG Romania_IronGates_Mesolithic.SG 0.652
gendstat: Russia_Mesolithic.SG Morocco_EN.SG 0.698
gendstat: Russia_Mesolithic.SG Natufian 0.695
gendstat: Sweden_Mesolithic.SG Italy_Mesolithic.SG -0.962
gendstat: Sweden_Mesolithic.SG Romania_IronGates_Mesolithic.SG 0.042
gendstat: Sweden_Mesolithic.SG Morocco_EN.SG 0.188
gendstat: Sweden_Mesolithic.SG Natufian 0.197
gendstat: Italy_Mesolithic.SG Romania_IronGates_Mesolithic.SG 1.043
gendstat: Italy_Mesolithic.SG Morocco_EN.SG 0.945
gendstat: Italy_Mesolithic.SG Natufian 0.986
gendstat: Romania_IronGates_Mesolithic.SG Morocco_EN.SG 0.160
gendstat: Romania_IronGates_Mesolithic.SG Natufian 0.174
gendstat: Morocco_EN.SG Natufian 0.001