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View Full Version : About Ancient Eurasian K6 (GedrosiaDNA GedMatch)



poi
11-08-2017, 07:47 PM
Here are my results for the Ancient Eurasia K6. Apparently I never ran this calculator. And I could not find a thread about this. Unfortunately, the forum search does not allow a 2-letter search on K6.

A couple of things surprised me.


I have way too high East_Asian than other calculators are showing. It is even higher than my ASE! Is this normal for South Asians or just me (being a Nepali, although I'm supposed to be in IA ethnic group lol).
As a population, Burushos are closest to me even more so than other IA groups. Fascinating.
Is this calculator outdated? It looks relatively recent. Apart from the GenePlaza's k12 Ancient, this is the most fascinating calculator I've come across!


What are some of your results?



gedrosia K6 Oracle

Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 34.91
2 Natufian 26.55
3 East_Asian 18.77
4 Ancestral_South_Eurasian 17.34
5 West_European_Hunter_Gartherer 2.43


Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Burusho @ 5.368432
2 Punjabi @ 13.395941
3 GujaratiB @ 13.484404
4 Pashtun_Afghan @ 13.806463
5 GujaratiA @ 13.913071
6 Bengali @ 14.754423
7 GujaratiD @ 14.964834
8 Pathan @ 15.087296
9 GujaratiC @ 15.108398
10 Sindhi @ 15.529140
11 Punjabi_PJL @ 15.558886
12 Kalash @ 16.247381
13 Tajik @ 16.716146
14 Kurd_SE @ 19.039312
15 Balochi @ 21.549435
16 Brahui @ 22.185001
17 Makrani @ 23.596910
18 Turkmen @ 23.631039
19 Baloch_Iranian @ 24.638586
20 Iranian_Shirazi @ 28.239656

Using 2 populations approximation:
1 50% Burusho +50% Burusho @ 5.368432


Using 3 populations approximation:
1 50% GujaratiC +25% Kurd_SE +25% Uygur @ 0.833222


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 GujaratiC + GujaratiC + Kurd_SE + Uygur @ 0.833222
2 GujaratiB + Hazara + Kurd_SE + Punjabi_PJL @ 0.910427
3 GujaratiC + GujaratiC + Hazara + Kurd_SE @ 0.940663
4 Hazara + Pathan + Punjabi_PJL + Sindhi @ 0.984903
5 GujaratiC + GujaratiD + Kurd_SE + Uygur @ 1.008727
6 Bengali + CHG + GujaratiC + Hazara @ 1.045811
7 Bengali + CHG + GujaratiC + Uygur @ 1.066500
8 GujaratiB + Kurd_SE + Punjabi_PJL + Uygur @ 1.074661
9 GujaratiA + Hazara + Kurd_SE + Punjabi_PJL @ 1.104620
10 GujaratiB + GujaratiD + Hazara + Kurd_SE @ 1.112916
11 GujaratiC + GujaratiD + Hazara + Kurd_SE @ 1.141310
12 Pathan + Punjabi_PJL + Sindhi + Uygur @ 1.164212
13 Balochi + GujaratiB + Hazara + Punjabi_PJL @ 1.170208
14 GujaratiD + Hazara + Pathan + Sindhi @ 1.179952
15 Hazara + Kalash + Punjabi_PJL + Sindhi @ 1.187744
16 Punjabi_PJL + Sindhi + Sindhi + Uygur @ 1.193976
17 Balochi + Bengali + Hazara + Sindhi @ 1.203725
18 Balochi + GujaratiB + Punjabi_PJL + Uygur @ 1.210851
19 GujaratiD + Sindhi + Sindhi + Uygur @ 1.214655
20 Brahui + GujaratiB + Hazara + Punjabi_PJL @ 1.224070

MonkeyDLuffy
11-08-2017, 08:52 PM
I think we had a thread about it, anyhow, here are my results:

1 Ancestral_North_Eurasian 41.49
2 Natufian 28.08
3 Ancestral_South_Eurasian 20.03
4 East_Asian 7.3
5 West_European_Hunter_Gartherer 3.1

pnb123
11-08-2017, 08:55 PM
1 Ancestral_North_Eurasian 36.48
2 Natufian 25.11
3 Ancestral_South_Eurasian 19.06
4 East_Asian 13.71
5 West_European_Hunter_Gartherer 4.88

poi
11-08-2017, 09:04 PM
I think we had a thread about it, anyhow, here are my results:

1 Ancestral_North_Eurasian 41.49
2 Natufian 28.08
3 Ancestral_South_Eurasian 20.03
4 East_Asian 7.3
5 West_European_Hunter_Gartherer 3.1

Thanks! Could you post your population oracles if you don't mind.

MonkeyDLuffy
11-08-2017, 09:22 PM
Thanks! Could you post your population oracles if you don't mind.

# Population (source) Distance
1 GujaratiA 4.79
2 Punjabi 5.91
3 Pathan 5.96
4 Kalash 6.6
5 Sindhi 7.34
6 GujaratiB 8.33
7 Pashtun_Afghan 8.72
8 Burusho 9.19
9 GujaratiC 11.14
10 Kurd_SE 12.08
11 GujaratiD 13.18
12 Balochi 13.45
13 Brahui 14.21
14 Punjabi_PJL 14.39
15 Tajik 14.92
16 Makrani 15.51
17 Baloch_Iranian 17.3
18 Bengali 20.37
19 Iran_N 21.68
20 Iranian_Shirazi 21.97

pnb123
11-08-2017, 09:33 PM
Here's mine:

Least-squares method.

Using 1 population approximation:
1 Burusho @ 5.072017
2 GujaratiA @ 9.059611
3 GujaratiB @ 9.224069
4 Punjabi @ 9.340331
5 GujaratiC @ 11.058751
6 GujaratiD @ 11.397311
7 Pathan @ 11.671089
8 Pashtun_Afghan @ 12.020748
9 Sindhi @ 12.132754
10 Punjabi_PJL @ 12.271113
11 Kalash @ 12.734495
12 Bengali @ 14.714062
13 Tajik @ 16.133879
14 Kurd_SE @ 17.189455
15 Balochi @ 19.303576
16 Brahui @ 20.037622
17 Makrani @ 21.453564
18 Baloch_Iranian @ 22.893545
19 Iranian_Shirazi @ 27.164581
20 Iran_N @ 27.353397

kush
11-08-2017, 09:42 PM
Cool results. Here's mine:

Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 34.99
2 Ancestral_South_Eurasian 27.13
3 Natufian 25.49
4 East_Asian 12.12
5 Sub_Saharan 0.26

Single Population Sharing:

# Population (source) Distance
1 GujaratiD 5.16
2 Punjabi_PJL 5.18
3 GujaratiC 5.53
4 GujaratiB 9
5 Bengali 10.23
6 GujaratiA 10.6
7 Punjabi 11.72
8 Burusho 12.09
9 Sindhi 13.43
10 Pathan 16.08
11 Kalash 17.11
12 Pashtun_Afghan 18.78
13 Kurd_SE 21.19
14 Balochi 22.09
15 Brahui 22.78
16 Palliyar 23.14
17 Tajik 23.84
18 Makrani 24.37
19 Baloch_Iranian 26.38
20 Paniyas 28.72

Koshur_Sam
11-09-2017, 01:50 AM
Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 38.39
2 Natufian 28.31
3 Ancestral_South_Eurasian 20.25
4 East_Asian 11.72
5 West_European_Hunter_Gartherer 1.33

Single Population Sharing:

# Population (source) Distance
1 Punjabi 5.33
2 Burusho 5.55
3 GujaratiA 5.61
4 GujaratiB 5.67
5 Sindhi 7.37
6 GujaratiC 8.4
7 Pathan 8.82
8 GujaratiD 9.86
9 Kalash 10
10 Punjabi_PJL 11.11
11 Pashtun_Afghan 11.77
12 Kurd_SE 13.82
13 Balochi 15.42
14 Bengali 16.15
15 Brahui 16.17
16 Tajik 17.86
17 Makrani 17.96
18 Baloch_Iranian 19.77
19 CHG 24.24
20 Iran_N 25.07

poi
11-09-2017, 02:44 AM
Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 38.39
2 Natufian 28.31
3 Ancestral_South_Eurasian 20.25
4 East_Asian 11.72
5 West_European_Hunter_Gartherer 1.33

Single Population Sharing:

# Population (source) Distance
1 Punjabi 5.33
2 Burusho 5.55
3 GujaratiA 5.61
4 GujaratiB 5.67
5 Sindhi 7.37
6 GujaratiC 8.4
7 Pathan 8.82
8 GujaratiD 9.86
9 Kalash 10
10 Punjabi_PJL 11.11
11 Pashtun_Afghan 11.77
12 Kurd_SE 13.82
13 Balochi 15.42
14 Bengali 16.15
15 Brahui 16.17
16 Tajik 17.86
17 Makrani 17.96
18 Baloch_Iranian 19.77
19 CHG 24.24
20 Iran_N 25.07

Lol, we're cousins according to this calculator!

Koshur_Sam
11-09-2017, 11:02 AM
Lol, we're cousins according to this calculator!

Lol I was thinking the same thing when I saw your results

jortita
11-10-2017, 01:57 AM
Ancestry DNA

Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 28.42
2 East_Asian 27.14
3 Ancestral_South_Eurasian 23.35
4 Natufian 19.42
5 Sub_Saharan 1.08
6 West_European_Hunter_Gartherer 0.59

Single Population Sharing:

# Population (source) Distance
1 Bengali 10.56
2 Burusho 18.86
3 Punjabi_PJL 19.17
4 GujaratiD 19.84
5 GujaratiC 21.76
6 Palliyar 22.26
7 GujaratiB 23.38
8 Kharia 23.55
9 GujaratiA 25.01
10 Turkmen 25.1
11 Punjabi 25.27
12 Uzbek 25.56
13 Pashtun_Afghan 27.01
14 Paniyas 27.54
15 Sindhi 27.6
16 Tajik 27.81
17 Pathan 28.23
18 Kalash 29.37
19 Hazara 29.85
20 Uygur 30.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.8% GujaratiC + 27.2% Cambodian @ 1.72
2 74.2% Bengali + 25.8% Hazara @ 2.05
3 74.7% Bengali + 25.3% Uygur @ 2.18
4 66% GujaratiC + 34% Kusunda @ 2.47
5 70.5% GujaratiC + 29.5% Sherpa @ 2.48
6 76.2% GujaratiC + 23.8% Tibetan @ 2.61
7 79.7% Punjabi_PJL + 20.3% Mongola @ 2.64
8 82.2% Bengali + 17.8% Kyrgyz @ 2.75
9 75.9% Punjabi_PJL + 24.1% Kalmyk @ 2.82
10 78.3% GujaratiC + 21.7% Ami @ 2.92
11 74.7% GujaratiD + 25.3% Cambodian @ 2.92
12 79.1% GujaratiD + 20.9% Mongola @ 3.01
13 80.6% Punjabi_PJL + 19.4% Han @ 3.01
14 81% Punjabi_PJL + 19% Dai @ 3.03
15 80.4% Punjabi_PJL + 19.6% Ami @ 3.04
16 80.8% Punjabi_PJL + 19.2% Ulchi @ 3.09
17 78.5% GujaratiC + 21.5% Han @ 3.11
18 79.9% GujaratiD + 20.1% Ami @ 3.13
19 77.9% GujaratiD + 22.1% Tibetan @ 3.17
20 72.5% GujaratiD + 27.5% Sherpa @ 3.17

Least-squares method.

Using 1 population approximation:
1 Bengali @ 10.929859
2 Burusho @ 19.140629
3 Punjabi_PJL @ 19.792894
4 GujaratiD @ 20.437147
5 GujaratiC @ 22.386356
6 Palliyar @ 23.011557
7 Kharia @ 23.801861
8 GujaratiB @ 23.874533
9 GujaratiA @ 25.592329
10 Turkmen @ 25.743744
11 Punjabi @ 25.758030
12 Uzbek @ 26.475550
13 Pashtun_Afghan @ 27.503265
14 Sindhi @ 28.087856
15 Paniyas @ 28.403389
16 Tajik @ 28.445177
17 Pathan @ 28.749239
18 Kalash @ 29.924097
19 Hazara @ 31.058239
20 Uygur @ 31.782776

Using 2 populations approximation:
1 50% Burusho +50% Kharia @ 5.534302


Using 3 populations approximation:
1 50% Bengali +25% Kusunda +25% Pathan @ 1.730324


Using 4 populations approximation:
1 GujaratiB + Kharia + Kusunda + Makrani @ 0.286766
2 Balochi + Cambodian + GujaratiB + Palliyar @ 0.402065
3 Brahui + Cambodian + GujaratiB + Palliyar @ 0.483620
4 Brahui + GujaratiB + Kharia + Kusunda @ 0.543798
5 Brahui + GujaratiA + Kharia + Kusunda @ 0.609460
6 Balochi + GujaratiA + Kharia + Kusunda @ 0.629799
7 Balochi + Cambodian + Paniyas + Punjabi @ 0.653936
8 Brahui + Cambodian + Paniyas + Punjabi @ 0.665094
9 Cambodian + Palliyar + Sindhi + Sindhi @ 0.763231
10 Balochi + GujaratiB + Kharia + Kusunda @ 0.767987
11 Cambodian + Kurd_SE + Paniyas + Sindhi @ 0.818790
12 Cambodian + GujaratiB + Kurd_SE + Palliyar @ 0.863666
13 Cambodian + Kurd_SE + Paniyas + Punjabi @ 0.865128
14 Baloch_Iranian + Cambodian + GujaratiB + Paniyas @ 0.865341
15 Cambodian + Palliyar + Pathan + Sindhi @ 0.881706
16 Balochi + Kharia + Kusunda + Punjabi @ 0.911156
17 Baloch_Iranian + GujaratiC + Kharia + Kusunda @ 0.942760
18 Cambodian + GujaratiB + Makrani + Palliyar @ 0.962675
19 Cambodian + CHG + Palliyar + Punjabi_PJL @ 0.972843
20 Brahui + Kharia + Kusunda + Punjabi @ 0.995248

jortita
11-10-2017, 02:00 AM
A more accurate Gedrosia calculator is Near East Neolithic K13 which you could post as well

poi
11-10-2017, 02:10 AM
A more accurate Gedrosia calculator is Near East Neolithic K13 which you could post as well



gedrosia K13 Oracle

Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 36.41
2 IRAN_NEOLITHIC 31.84
3 EHG 10.43
4 CHG_EEF 7.35
5 SIBERIAN 4.30
6 ANATOLIA_NEOLITHIC 3.11
7 PAPUAN 2.84
8 SE_ASIAN 2.23
9 KARITIANA 1.32


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Burusho @ 6.116835
2 GujaratiA @ 9.300199
3 GujaratiB @ 12.311199
4 Sindhi @ 12.429251
5 Pathan @ 13.115271
6 Punjabi @ 14.263731
7 Kurd_SE @ 17.110481
8 Kalash @ 17.193941
9 GujaratiC @ 18.595638
10 Pashtun_Afghan @ 21.347780
11 Balochi @ 23.091494
12 GujaratiD @ 23.137468
13 Bengali @ 23.394722
14 Brahui @ 24.272512
15 Makrani @ 26.302208
16 Tajik @ 27.642822
17 Iranian_Bandari @ 28.304502
18 Iranian_Shirazi @ 36.385349
19 Iranian @ 36.914825
20 Turkmen @ 37.801182

Using 2 populations approximation:
1 50% Burusho +50% Burusho @ 6.116835


Using 3 populations approximation:
1 50% GujaratiB +25% GujaratiB +25% Turkmen @ 4.416773


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 GujaratiB + GujaratiB + GujaratiB + Turkmen @ 4.416773
2 GujaratiB + GujaratiB + GujaratiB + Uzbek @ 4.442077
3 GujaratiB + GujaratiB + Punjabi + Turkmen @ 4.519352
4 GujaratiB + GujaratiB + GujaratiC + Turkmen @ 4.620490
5 GujaratiB + GujaratiB + Punjabi + Uzbek @ 4.632424
6 GujaratiA + GujaratiB + GujaratiC + Turkmen @ 4.676424
7 Bengali + GujaratiA + GujaratiB + Turkmen @ 4.705084
8 GujaratiB + Punjabi + Punjabi + Turkmen @ 4.742384
9 GujaratiA + GujaratiB + GujaratiD + Turkmen @ 4.821941
10 Bengali + GujaratiA + GujaratiA + Turkmen @ 4.827463
11 GujaratiA + GujaratiB + GujaratiC + Uzbek @ 4.834800
12 Bengali + Burusho + GujaratiB + Tajik @ 4.844022
13 Bengali + GujaratiB + GujaratiB + Nogai @ 4.866790
14 GujaratiB + GujaratiB + GujaratiC + Uzbek @ 4.884146
15 GujaratiB + GujaratiB + GujaratiD + Nogai @ 4.913923
16 Burusho + GujaratiB + GujaratiD + Turkmen @ 4.918503
17 GujaratiA + GujaratiC + Punjabi + Turkmen @ 4.932079
18 GujaratiB + Punjabi + Punjabi + Uzbek @ 4.943402
19 Bengali + GujaratiB + Sindhi + Turkmen @ 4.954476
20 GujaratiA + GujaratiB + GujaratiB + Uzbek @ 4.963954

pnb123
11-10-2017, 02:15 AM
# Population Percent
1 ANCESTRAL_INDIAN 33.31
2 IRAN_NEOLITHIC 32.78
3 EHG 11.61
4 CHG_EEF 9.56
5 SE_ASIAN 3.78
6 SHG_WHG 2.01
7 KARITIANA 1.74
8 PAPUAN 1.65
9 NATUFIAN 1.44
10 SIBERIAN 1.43


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Burusho @ 3.863810
2 GujaratiA @ 9.389314
3 Pathan @ 9.525572
4 Sindhi @ 11.727638
5 Kalash @ 13.644941
6 GujaratiB @ 14.535117
7 Kurd_SE @ 15.101592
8 Punjabi @ 16.645466
9 Pashtun_Afghan @ 17.022284
10 Balochi @ 20.593544
11 GujaratiC @ 21.560799
12 Brahui @ 21.881283
13 Makrani @ 23.494169
14 Tajik @ 23.802711
15 Iranian_Bandari @ 24.687201
16 GujaratiD @ 26.270630
17 Bengali @ 26.954756
18 Iranian_Shirazi @ 32.927517
19 Iranian @ 33.684566
20 Iranian_Mazandarani @ 34.636078

pnb123
11-10-2017, 02:17 AM
gedrosia K13 Oracle

Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 36.41
2 IRAN_NEOLITHIC 31.84
3 EHG 10.43
4 CHG_EEF 7.35
5 SIBERIAN 4.30
6 ANATOLIA_NEOLITHIC 3.11
7 PAPUAN 2.84
8 SE_ASIAN 2.23
9 KARITIANA 1.32


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Burusho @ 6.116835
2 GujaratiA @ 9.300199
3 GujaratiB @ 12.311199
4 Sindhi @ 12.429251
5 Pathan @ 13.115271
6 Punjabi @ 14.263731
7 Kurd_SE @ 17.110481
8 Kalash @ 17.193941
9 GujaratiC @ 18.595638
10 Pashtun_Afghan @ 21.347780
11 Balochi @ 23.091494
12 GujaratiD @ 23.137468
13 Bengali @ 23.394722
14 Brahui @ 24.272512
15 Makrani @ 26.302208
16 Tajik @ 27.642822
17 Iranian_Bandari @ 28.304502
18 Iranian_Shirazi @ 36.385349
19 Iranian @ 36.914825
20 Turkmen @ 37.801182

Using 2 populations approximation:
1 50% Burusho +50% Burusho @ 6.116835


Using 3 populations approximation:
1 50% GujaratiB +25% GujaratiB +25% Turkmen @ 4.416773


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 GujaratiB + GujaratiB + GujaratiB + Turkmen @ 4.416773
2 GujaratiB + GujaratiB + GujaratiB + Uzbek @ 4.442077
3 GujaratiB + GujaratiB + Punjabi + Turkmen @ 4.519352
4 GujaratiB + GujaratiB + GujaratiC + Turkmen @ 4.620490
5 GujaratiB + GujaratiB + Punjabi + Uzbek @ 4.632424
6 GujaratiA + GujaratiB + GujaratiC + Turkmen @ 4.676424
7 Bengali + GujaratiA + GujaratiB + Turkmen @ 4.705084
8 GujaratiB + Punjabi + Punjabi + Turkmen @ 4.742384
9 GujaratiA + GujaratiB + GujaratiD + Turkmen @ 4.821941
10 Bengali + GujaratiA + GujaratiA + Turkmen @ 4.827463
11 GujaratiA + GujaratiB + GujaratiC + Uzbek @ 4.834800
12 Bengali + Burusho + GujaratiB + Tajik @ 4.844022
13 Bengali + GujaratiB + GujaratiB + Nogai @ 4.866790
14 GujaratiB + GujaratiB + GujaratiC + Uzbek @ 4.884146
15 GujaratiB + GujaratiB + GujaratiD + Nogai @ 4.913923
16 Burusho + GujaratiB + GujaratiD + Turkmen @ 4.918503
17 GujaratiA + GujaratiC + Punjabi + Turkmen @ 4.932079
18 GujaratiB + Punjabi + Punjabi + Uzbek @ 4.943402
19 Bengali + GujaratiB + Sindhi + Turkmen @ 4.954476
20 GujaratiA + GujaratiB + GujaratiB + Uzbek @ 4.963954



Mine looks quite similar to yours except you don't have SHG-WHG & I don't have any Anatolia Neolithic.

MonkeyDLuffy
11-10-2017, 02:39 AM
This calc always gives me excessive ASI:

ANCESTRAL_INDIAN 39.67
2 IRAN_NEOLITHIC 35.56
3 EHG 12.55
4 CHG_EEF 9.14
5 SHG_WHG 1.68
6 POLAR 0.73
7 PAPUAN 0.47
8 SE_ASIAN 0.14
9 NATUFIAN 0.07
10 KARITIANA 0.01

Single Population Sharing:

# Population (source) Distance
1 GujaratiA 2.45
2 Burusho 6.81
3 GujaratiB 7.53
4 Sindhi 8.42
5 Punjabi 9.43
6 Pathan 10.49
7 GujaratiC 14.15
8 Kalash 15.22
9 Kurd_SE 15.46
10 GujaratiD 18.53
11 Pashtun_Afghan 20.45
12 Balochi 20.5
13 Bengali 20.8
14 Brahui 21.57
15 Makrani 24.01
16 Iranian_Bandari 27.35
17 Tajik 27.63
18 Iranian_Shirazi 35.35
19 Iranian_Mazandarani 36.08
20 Iranian 36.09

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97% GujaratiA + 3% Steppe_MLBA @ 1.53
2 98.1% GujaratiA + 1.9% EHG @ 1.59
3 98% GujaratiA + 2% Steppe_EMBA @ 1.61
4 97.3% GujaratiA + 2.7% MA1 @ 1.67
5 98% GujaratiA + 2% Steppe_Eneolithic @ 1.74
6 97.4% GujaratiA + 2.6% Europe_LNBA @ 1.81
7 97.8% GujaratiA + 2.2% Norwegian @ 1.96
8 97.7% GujaratiA + 2.3% Finnish @ 1.97
9 97.8% GujaratiA + 2.2% Estonian @ 1.97
10 97.7% GujaratiA + 2.3% Russian @ 1.97
11 97.8% GujaratiA + 2.2% Icelandic @ 1.98
12 97.1% GujaratiA + 2.9% Steppe_IA @ 1.99
13 97.9% GujaratiA + 2.1% Lithuanian @ 2
14 97.8% GujaratiA + 2.2% English @ 2
15 97.8% GujaratiA + 2.2% Ukrainian @ 2.02
16 97.9% GujaratiA + 2.1% Czech @ 2.03
17 97.9% GujaratiA + 2.1% Scottish @ 2.04
18 97.8% GujaratiA + 2.2% Hungarian @ 2.04
19 97.9% GujaratiA + 2.1% French @ 2.07
20 97.9% GujaratiA + 2.1% Croatian @ 2.07

bmoney
11-10-2017, 03:10 AM
Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 41.78
2 IRAN_NEOLITHIC 41.08
3 EHG 9.62
4 SUB_SAHARAN 2.50
5 SHG_WHG 2.06
6 SE_ASIAN 1.52
7 PAPUAN 1.45


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 GujaratiB @ 7.217466
2 Punjabi @ 8.789277
3 Sindhi @ 9.501186
4 GujaratiA @ 9.828835
5 GujaratiC @ 12.623829
6 Burusho @ 14.709722
7 GujaratiD @ 15.527991
8 Kurd_SE @ 16.761549
9 Pathan @ 17.926432
10 Bengali @ 20.331594
11 Balochi @ 22.057367
12 Kalash @ 22.453424
13 Brahui @ 22.533331
14 Makrani @ 25.841270
15 Pashtun_Afghan @ 29.358660
16 Iranian_Bandari @ 32.456676
17 Tajik @ 38.337696
18 Iranian_Shirazi @ 43.695805
19 Iranian_Mazandarani @ 44.014931
20 Iranian @ 44.726959

Using 2 populations approximation:
1 50% GujaratiD +50% Kurd_SE @ 4.095099


Using 3 populations approximation:
1 50% GujaratiD +25% Kurd_SE +25% Kurd_SE @ 4.095099


Using 4 populations approximation:
+++++++++++++++++++++++++++++++
1 GujaratiD + GujaratiD + Kurd_SE + Kurd_SE @ 4.095099

EDIT: K6

Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 37.09
2 Natufian 25.15
3 Ancestral_South_Eurasian 22.53
4 East_Asian 14.13
5 Sub_Saharan 1.10


Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 GujaratiD @ 7.480751
2 GujaratiB @ 7.481017
3 GujaratiC @ 7.609358
4 Burusho @ 7.650061
5 Punjabi_PJL @ 8.318217

Using 2 populations approximation:
1 50% Burusho +50% Punjabi_PJL @ 2.280209


Using 3 populations approximation:
1 50% Bengali +25% Brahui +25% Burusho @ 1.413683


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++
1 Burusho + CHG + GujaratiC + Kharia @ 1.271123

bmoney
11-10-2017, 03:15 AM
# Population Percent
1 ANCESTRAL_INDIAN 33.31
2 IRAN_NEOLITHIC 32.78
3 EHG 11.61
4 CHG_EEF 9.56
5 SE_ASIAN 3.78
6 SHG_WHG 2.01
7 KARITIANA 1.74
8 PAPUAN 1.65
9 NATUFIAN 1.44
10 SIBERIAN 1.43


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Burusho @ 3.863810
2 GujaratiA @ 9.389314
3 Pathan @ 9.525572
4 Sindhi @ 11.727638
5 Kalash @ 13.644941
6 GujaratiB @ 14.535117
7 Kurd_SE @ 15.101592
8 Punjabi @ 16.645466
9 Pashtun_Afghan @ 17.022284
10 Balochi @ 20.593544
11 GujaratiC @ 21.560799
12 Brahui @ 21.881283
13 Makrani @ 23.494169
14 Tajik @ 23.802711
15 Iranian_Bandari @ 24.687201
16 GujaratiD @ 26.270630
17 Bengali @ 26.954756
18 Iranian_Shirazi @ 32.927517
19 Iranian @ 33.684566
20 Iranian_Mazandarani @ 34.636078

Your CHG_EEF is high, actually you are very close to the Hunza genetically

pnb123
11-10-2017, 03:16 AM
Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 41.78
2 IRAN_NEOLITHIC 41.08
3 EHG 9.62
4 SUB_SAHARAN 2.50
5 SHG_WHG 2.06
6 SE_ASIAN 1.52
7 PAPUAN 1.45


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 GujaratiB @ 7.217466
2 Punjabi @ 8.789277
3 Sindhi @ 9.501186
4 GujaratiA @ 9.828835
5 GujaratiC @ 12.623829
6 Burusho @ 14.709722
7 GujaratiD @ 15.527991
8 Kurd_SE @ 16.761549
9 Pathan @ 17.926432
10 Bengali @ 20.331594
11 Balochi @ 22.057367
12 Kalash @ 22.453424
13 Brahui @ 22.533331
14 Makrani @ 25.841270
15 Pashtun_Afghan @ 29.358660
16 Iranian_Bandari @ 32.456676
17 Tajik @ 38.337696
18 Iranian_Shirazi @ 43.695805
19 Iranian_Mazandarani @ 44.014931
20 Iranian @ 44.726959

Using 2 populations approximation:
1 50% GujaratiD +50% Kurd_SE @ 4.095099


Using 3 populations approximation:
1 50% GujaratiD +25% Kurd_SE +25% Kurd_SE @ 4.095099


Using 4 populations approximation:
+++++++++++++++++++++++++++++++
1 GujaratiD + GujaratiD + Kurd_SE + Kurd_SE @ 4.095099


I'm surprised that you didn't score any CHG-EEF.

bmoney
11-10-2017, 03:21 AM
I'm surprised that you didn't score any CHG-EEF.

CHG-EEF might have been part of later steppe, which I don't have or have little of in other calcs

parasar
11-10-2017, 03:45 AM
This calc always gives me excessive ASI:

ANCESTRAL_INDIAN 39.67
2 IRAN_NEOLITHIC 35.56
...

Both of these are are pretty much pan-subcontinental so few %age points here and are to be expected.

kush
11-10-2017, 05:28 AM
Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 46.67
2 IRAN_NEOLITHIC 41.18
3 SE_ASIAN 3.98
4 PAPUAN 2.90
5 EHG 1.84
6 CHG_EEF 1.70
7 SUB_SAHARAN 1.61


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Punjabi @ 9.242433
2 GujaratiC @ 9.697402
3 GujaratiB @ 10.700443
4 GujaratiD @ 10.749293
5 Sindhi @ 14.177055
6 GujaratiA @ 14.607257
7 Bengali @ 15.901406
8 Burusho @ 18.757023
9 Pathan @ 22.614689
10 Kurd_SE @ 24.008512
11 Balochi @ 26.419291
12 Brahui @ 26.755785
13 Kalash @ 27.842239
14 Makrani @ 29.753828
15 Pashtun_Afghan @ 33.757317
16 Iranian_Bandari @ 36.542984
17 Tajik @ 42.802109
18 Iranian_Shirazi @ 46.718422
19 Iranian_Mazandarani @ 46.914360
20 Iranian @ 47.909470

Using 2 populations approximation:
1 50% GujaratiD +50% Sindhi @ 6.834237


Using 3 populations approximation:
1 50% Bengali +25% Iran_LN +25% Kusunda @ 4.876213


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++
1 Bengali + GujaratiD + Iran_LN + Kusunda @ 4.255974

jortita
11-10-2017, 06:13 AM
LIVING DNA

# Population Percent
1 ANCESTRAL_INDIAN 33.62
2 IRAN_NEOLITHIC 31.43
3 SE_ASIAN 18.52
4 CHG_EEF 5.22
5 EHG 4.36
6 PAPUAN 3.62
7 POLAR 2.49
8 SUB_SAHARAN 0.39
9 ANATOLIA_NEOLITHIC 0.19
10 SHG_WHG 0.1
11 SIBERIAN 0.06

Single Population Sharing:

# Population (source) Distance
1 Burusho 17.44
2 GujaratiA 21
3 Sindhi 21.41
4 Pathan 21.96
5 GujaratiB 22.22
6 Punjabi 22.91
7 Kurd_SE 24.24
8 Kalash 24.78
9 GujaratiC 25.23
10 Bengali 25.67
11 Pashtun_Afghan 25.73
12 Balochi 27.09
13 Brahui 27.76
14 GujaratiD 27.94
15 Makrani 28.89
16 Tajik 29.89
17 Iranian_Bandari 30.23
18 Turkmen 35.29
19 Hazara 35.63
20 Uzbek 35.66

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74% Sindhi + 26% Cambodian @ 5.1
2 73.3% Sindhi + 26.7% Thai @ 5.22
3 74.6% GujaratiA + 25.4% Cambodian @ 6.25
4 73.9% GujaratiA + 26.1% Thai @ 6.3
5 79.2% Sindhi + 20.8% Dai @ 6.49
6 78% Punjabi + 22% Dai @ 6.5
7 78.5% GujaratiB + 21.5% Dai @ 6.53
8 79.6% GujaratiA + 20.4% Dai @ 6.63
9 80.6% GujaratiB + 19.4% Ami @ 6.64
10 81.5% GujaratiA + 18.5% Ami @ 6.66
11 80% Punjabi + 20% Ami @ 6.69
12 81.6% GujaratiA + 18.4% Atayal @ 6.7
13 80.7% GujaratiB + 19.3% Atayal @ 6.7
14 80.2% Punjabi + 19.8% Atayal @ 6.75
15 81.2% Sindhi + 18.8% Ami @ 6.79
16 81.3% Sindhi + 18.7% Atayal @ 6.83
17 73.6% GujaratiB + 26.4% Cambodian @ 6.87
18 72.9% GujaratiB + 27.1% Thai @ 6.94
19 73% Punjabi + 27% Cambodian @ 7.07
20 72.3% Punjabi + 27.7% Thai @ 7.2

Least-squares method.

Using 1 population approximation:
1 Burusho @ 18.275427
2 GujaratiA @ 22.070923
3 Sindhi @ 22.502260
4 Pathan @ 23.173038
5 GujaratiB @ 23.517931
6 Punjabi @ 24.318213
7 Kurd_SE @ 25.568277
8 Kalash @ 26.252369
9 GujaratiC @ 27.011236
10 Pashtun_Afghan @ 27.536863
11 Bengali @ 27.884474
12 Balochi @ 28.727007
13 Brahui @ 29.455032
14 GujaratiD @ 30.083069
15 Makrani @ 30.670904
16 Iranian_Bandari @ 32.173786
17 Tajik @ 32.233456
18 Hazara @ 37.777489
19 Turkmen @ 37.939423
20 Uzbek @ 38.108524

Using 2 populations approximation:
1 50% GujaratiD +50% Uygur @ 13.908514


Using 3 populations approximation:
1 50% GujaratiC +25% Makrani +25% Thai @ 5.085721


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++
1 Cambodian + GujaratiD + Pathan + Sindhi @ 3.942697
2 Balochi + Bengali + Cambodian + Sindhi @ 4.136003
3 Bengali + Brahui + Cambodian + Sindhi @ 4.180238
4 GujaratiD + Pathan + Sindhi + Thai @ 4.236786
5 Balochi + Bengali + Sindhi + Thai @ 4.250559
6 Cambodian + Punjabi + Sindhi + Sindhi @ 4.269209
7 Bengali + Brahui + Cambodian + GujaratiA @ 4.294320
8 Balochi + Cambodian + GujaratiA + GujaratiD @ 4.315891
9 Bengali + Brahui + Sindhi + Thai @ 4.317338
10 Cambodian + GujaratiC + Sindhi + Sindhi @ 4.326955
11 Cambodian + GujaratiC + Pathan + Sindhi @ 4.343020
12 Bengali + Brahui + GujaratiA + Thai @ 4.368613
13 Brahui + Cambodian + GujaratiA + GujaratiD @ 4.373179
14 Balochi + Bengali + Cambodian + GujaratiA @ 4.395004
15 Balochi + Burusho + Cambodian + GujaratiD @ 4.399734
16 Brahui + Burusho + Cambodian + GujaratiD @ 4.418218
17 Balochi + Bengali + GujaratiA + Thai @ 4.439129
18 Cambodian + GujaratiD + Kalash + Sindhi @ 4.450732
19 Balochi + Cambodian + Punjabi + Punjabi @ 4.455451
20 Balochi + Cambodian + GujaratiC + Punjabi @ 4.455654

jortita
11-10-2017, 06:14 AM
Ancestry DNA

Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 32.65
2 IRAN_NEOLITHIC 27.86
3 SE_ASIAN 15.81
4 CHG_EEF 7.63
5 EHG 5.85
6 SIBERIAN 3.92
7 PAPUAN 3.7
8 POLAR 1.77
9 SHG_WHG 0.59
10 SUB_SAHARAN 0.15
11 KARITIANA 0.08

Single Population Sharing:

# Population (source) Distance
1 Burusho 15.15
2 GujaratiA 20.04
3 Pathan 20.58
4 Sindhi 21.41
5 GujaratiB 21.96
6 Punjabi 22.83
7 Kalash 22.95
8 Pashtun_Afghan 23.27
9 Kurd_SE 23.96
10 GujaratiC 25.44
11 Bengali 25.92
12 Tajik 26.13
13 Balochi 27.54
14 Brahui 28.42
15 GujaratiD 28.7
16 Makrani 29.31
17 Iranian_Bandari 29.39
18 Turkmen 30.94
19 Uzbek 30.99
20 Hazara 31.46

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.5% Burusho + 19.5% Cambodian @ 4.35
2 79.9% Burusho + 20.1% Thai @ 4.4
3 79% GujaratiA + 21% Han @ 5.38
4 84.7% Burusho + 15.3% Dai @ 5.44
5 75.6% GujaratiA + 24.4% Cambodian @ 5.47
6 74.9% GujaratiA + 25.1% Thai @ 5.52
7 86.5% Burusho + 13.5% Ami @ 5.9
8 86.6% Burusho + 13.4% Atayal @ 5.92
9 80.4% GujaratiA + 19.6% Dai @ 5.98
10 83.9% Burusho + 16.1% Han @ 6.05
11 78.3% GujaratiA + 21.7% Japanese @ 6.12
12 77.6% GujaratiB + 22.4% Han @ 6.79
13 74.6% Sindhi + 25.4% Cambodian @ 6.87
14 77.1% GujaratiA + 22.9% Mongola @ 6.87
15 73.9% Sindhi + 26.1% Thai @ 6.93
16 76.9% Punjabi + 23.1% Han @ 7.06
17 82.6% GujaratiA + 17.4% Ami @ 7.16
18 83.8% Burusho + 16.2% Japanese @ 7.18
19 76.8% GujaratiB + 23.2% Japanese @ 7.2
20 82.7% GujaratiA + 17.3% Atayal @ 7.21

Least-squares method.

Using 1 population approximation:
1 Burusho @ 15.875448
2 GujaratiA @ 21.107912
3 Pathan @ 21.708286
4 Sindhi @ 22.582174
5 GujaratiB @ 23.345972
6 Kalash @ 24.317497
7 Punjabi @ 24.341717
8 Pashtun_Afghan @ 24.903709
9 Kurd_SE @ 25.317778
10 GujaratiC @ 27.344143
11 Tajik @ 28.227810
12 Bengali @ 28.253616
13 Balochi @ 29.242006
14 Brahui @ 30.196970
15 GujaratiD @ 31.001823
16 Makrani @ 31.146482
17 Iranian_Bandari @ 31.236086
18 Uzbek @ 33.223255
19 Turkmen @ 33.400902
20 Hazara @ 33.431328

Using 2 populations approximation:
1 50% GujaratiD +50% Uygur @ 8.303300


Using 3 populations approximation:
1 50% Burusho +25% Punjabi +25% Thai @ 4.542287


Using 4 populations approximation:
1 Burusho + GujaratiC + Pathan + Thai @ 4.287458
2 Bengali + Kalash + Pathan + Thai @ 4.302987
3 GujaratiD + Punjabi + Tajik + Thai @ 4.326095
4 Burusho + GujaratiC + Kalash + Thai @ 4.373069
5 Burusho + GujaratiD + Pashtun_Afghan + Thai @ 4.392399
6 Burusho + Cambodian + GujaratiC + Pathan @ 4.414218
7 Burusho + GujaratiD + Kalash + Thai @ 4.429132
8 Bengali + Pathan + Pathan + Thai @ 4.437581
9 Burusho + Cambodian + GujaratiD + Kalash @ 4.447547
10 GujaratiA + GujaratiD + Pashtun_Afghan + Thai @ 4.455289
11 GujaratiB + GujaratiD + Tajik + Thai @ 4.462533
12 Burusho + Pathan + Punjabi + Thai @ 4.479626
13 Burusho + Cambodian + GujaratiC + Kalash @ 4.498703
14 GujaratiA + GujaratiC + Pashtun_Afghan + Thai @ 4.520004
15 GujaratiC + Punjabi + Tajik + Thai @ 4.528413
16 Pashtun_Afghan + Punjabi + Punjabi + Thai @ 4.529744
17 Bengali + Cambodian + Kalash + Pathan @ 4.534567
18 Burusho + Burusho + Punjabi + Thai @ 4.542287
19 Cambodian + GujaratiA + GujaratiD + Pashtun_Afghan @ 4.544365
20 GujaratiC + GujaratiC + Tajik + Thai @ 4.546077

Ancestral South Indian in this calculator refers to Kusunda

MonkeyDLuffy
11-10-2017, 06:19 AM
South Indians score really high Iran Neolithic it seems

bmoney
11-10-2017, 06:23 AM
South Indians score really high Iran Neolithic it seems

I reckon Balochi + Brahui Iran_N would be off the charts

followed by Sindhi

MonkeyDLuffy
11-10-2017, 06:25 AM
Both of these are are pretty much pan-subcontinental so few %age points here and are to be expected.

It was a very early calculator afterall. I remember Varun scored high Iran as well

MonkeyDLuffy
11-10-2017, 06:26 AM
I reckon Balochi + Brahui Iran_N would be off the charts

followed by Sindhi

Nah, Sindhi would have nice Steppe ancestry like us Punjabis.

bmoney
11-10-2017, 06:28 AM
Nah, Sindhi would have nice Steppe ancestry like us Punjabis.

They would but they also have very high Baloch/Iran_N at the expense of south Indian - Punjabis have more South Indian than Sindhis

Sindhis consistently score the highest gedrosian component after the Baloch/Brahui/Makran

MonkeyDLuffy
11-10-2017, 06:30 AM
They would but they have very high Baloch/Iran_N at the expense of south Indian - Punjabis have more South Indian than Sindhis

Sindhis consistently score the highest gedrosian component after the Baloch/Brahui/Makran

True, but there is a bit difference in Sindhi Hindu results and Sindhi Muslim results. The Sindhi muslims score higher baloch which could be result of mixing with balochs.

bmoney
11-10-2017, 06:39 AM
True, but there is a bit difference in Sindhi Hindu results and Sindhi Muslim results. The Sindhi muslims score higher baloch which could be result of mixing with balochs.

Yep you might be right, Hindu Sindhis look very similar to Hindu Punjabis from what i've seen

Would be interested in seeing the ancestry differences

Sindh and Baluchistan are very close

MonkeyDLuffy
11-10-2017, 01:16 PM
Yep you might be right, Hindu Sindhis look very similar to Hindu Punjabis from what i've seen

Would be interested in seeing the ancestry differences

Sindh and Baluchistan are very close

I'm not sure how accurate it is, but Sindhi hindus follow different kind of Hinduism, which has lots of influence from Sikhism. There were some Sindhi Sikhs as well, I wonder how they scored in comparison to Punjabi Sikhs. We've Luabana Sikhs in Punjab, who apparently are same as Sindhi lohanas, so maybe Sindhi Sikhs are same.

Gandhara
11-10-2017, 11:29 PM
My results :

Population
Ancestral_North_Eurasian 39.07
Ancestral_South_Eurasian 18.86
East_Asian 7.15
West_European_Hunter_Gartherer 4.69
Natufian 30.23
Sub_Saharan -


Single Population Sharing:


# Population (source) Distance
1 GujaratiA 3.79
2 Punjabi 4.28
3 Pathan 4.45
4 Kalash 5.25
5 Sindhi 5.3
6 GujaratiB 7.47
7 Pashtun_Afghan 8.78
8 Burusho 8.95
9 Kurd_SE 10.51
10 GujaratiC 10.96
11 Balochi 11.85
12 Brahui 12.66
13 GujaratiD 13.21
14 Makrani 14.27
15 Punjabi_PJL 14.55
16 Tajik 15.71
17 Baloch_Iranian 16.2
18 CHG 20.76
19 Bengali 20.92
20 Iran_N 20.98


Question : In single population sharing from 1-20 what is Gujrati A? Punjabi PJI and Makrani etc? are these individuals or a group of individuals my result is compared against?

Gandhara
11-10-2017, 11:30 PM
I'm not sure how accurate it is, but Sindhi hindus follow different kind of Hinduism, which has lots of influence from Sikhism. There were some Sindhi Sikhs as well, I wonder how they scored in comparison to Punjabi Sikhs. We've Luabana Sikhs in Punjab, who apparently are same as Sindhi lohanas, so maybe Sindhi Sikhs are same.

Sikhs are they all from Indian Punjab?

MonkeyDLuffy
11-11-2017, 12:07 AM
Sikhs are they all from Indian Punjab?

Well Sindhi Sikhs are not Punjabi. They’re Sindhi. Sikhs are found from Punjab to Afghanistan. There were A LOT of sikhs in lehnda punjab before partition. Especially Potohar was concentrated with Khatri sikhs.

bmoney
11-11-2017, 12:20 AM
My results :

Population
Ancestral_North_Eurasian 39.07
Ancestral_South_Eurasian 18.86
East_Asian 7.15
West_European_Hunter_Gartherer 4.69
Natufian 30.23
Sub_Saharan -


Single Population Sharing:


# Population (source) Distance
1 GujaratiA 3.79
2 Punjabi 4.28
3 Pathan 4.45
4 Kalash 5.25
5 Sindhi 5.3
6 GujaratiB 7.47
7 Pashtun_Afghan 8.78
8 Burusho 8.95
9 Kurd_SE 10.51
10 GujaratiC 10.96
11 Balochi 11.85
12 Brahui 12.66
13 GujaratiD 13.21
14 Makrani 14.27
15 Punjabi_PJL 14.55
16 Tajik 15.71
17 Baloch_Iranian 16.2
18 CHG 20.76
19 Bengali 20.92
20 Iran_N 20.98


Question : In single population sharing from 1-20 what is Gujrati A? Punjabi PJI and Makrani etc? are these individuals or a group of individuals my result is compared against?

Gujarati A is the most ANI/NW shifted Gujarati sample - i would say quite similar to a Sindhi - It is an average

Don't know about the others

Could you post your Near East K13

parasar
11-11-2017, 12:46 AM
...

Question : In single population sharing from 1-20 what is Gujrati A? Punjabi PJI and Makrani etc? are these individuals or a group of individuals my result is compared against?

Group of individuals.

The diversity (distinctness rather than internal) is so high in Gujarat (perhaps higher than all of Europe) that four distinct clusters form within the Gujarati sample set.

"About time asked for some
f_3 stats. As a Christmas present:

## Sources Target f_3 Z
LBK Onge Vishwabrahmin 0.000734 0.641
LBK Onge Gujarati1 -0.006114 -4.582
LBK Onge Gujarati2 -0.006442 -4.955
LBK Onge Gujarati3 -0.001871 -1.325
LBK Onge Gujarati4 0.002510 1.814
MA1 Onge Vishwabrahmin 0.005237 4.136
MA1 Onge Gujarati1 0.002404 1.641
MA1 Onge Gujarati2 0.003153 2.124
MA1 Onge Gujarati3 0.004297 2.923
MA1 Onge Gujarati4 0.009156 6.084
LBK She Uzbek -0.024589 -26.829
MA1 She Uzbek -0.013565 -13.372

(There are 4 Gujarati groups in the Human Origins data, genetically distinct).

Implications for ancient DNA to the history of India and Asia are very interesting but
will need much more work."
http://www.anthrogenica.com/showthread.php?1756-Ancient-human-genomes-suggest-three-ancestral-populations-for-Europeans&p=24560&viewfull=1#post24560

Gandhara
11-11-2017, 12:50 AM
Group of individuals.

The diversity (distinctness rather than internal) is so high in Gujarat (perhaps higher than all of Europe) that four distinct clusters form within the Gujarati sample set.

"About time asked for some
f_3 stats. As a Christmas present:

## Sources Target f_3 Z
LBK Onge Vishwabrahmin 0.000734 0.641
LBK Onge Gujarati1 -0.006114 -4.582
LBK Onge Gujarati2 -0.006442 -4.955
LBK Onge Gujarati3 -0.001871 -1.325
LBK Onge Gujarati4 0.002510 1.814
MA1 Onge Vishwabrahmin 0.005237 4.136
MA1 Onge Gujarati1 0.002404 1.641
MA1 Onge Gujarati2 0.003153 2.124
MA1 Onge Gujarati3 0.004297 2.923
MA1 Onge Gujarati4 0.009156 6.084
LBK She Uzbek -0.024589 -26.829
MA1 She Uzbek -0.013565 -13.372

(There are 4 Gujarati groups in the Human Origins data, genetically distinct).

Implications for ancient DNA to the history of India and Asia are very interesting but
will need much more work."
http://www.anthrogenica.com/showthread.php?1756-Ancient-human-genomes-suggest-three-ancestral-populations-for-Europeans&p=24560&viewfull=1#post24560

So in other words, its a average of a group of people from Punjab, Gujrat etc etc.

parasar
11-11-2017, 12:51 AM
So in other words, its a average of a group of people from Punjab, Gujrat etc etc.

Yes that is correct.

Gandhara
11-11-2017, 12:53 AM
Gujarati A is the most ANI/NW shifted Gujarati sample - i would say quite similar to a Sindhi - It is an average

Don't know about the others

Could you post your Near East K13

Population
SE_ASIAN 1.77
ANATOLIA_NEOLITHIC -
CHG_EEF 11.04
POLAR -
EHG 9.53
SUB_SAHARAN -
IRAN_NEOLITHIC 36.09
KARITIANA 1.18
ANCESTRAL_INDIAN 34.18
NATUFIAN 2.45
SIBERIAN -
PAPUAN 1.57
SHG_WHG 2.19




1 Burusho 4.4
2 Pathan 6.06
3 GujaratiA 6.94
4 Sindhi 7.65
5 Kalash 11.42
6 GujaratiB 12.22
7 Kurd_SE 13.32
8 Punjabi 13.84
9 Pashtun_Afghan 15.04
10 Balochi 16.44
11 Brahui 17.62
12 GujaratiC 18.5
13 Makrani 19.34
14 Iranian_Bandari 21.72
15 GujaratiD 22.66
16 Tajik 23
17 Bengali 24.69
18 Iranian_Shirazi 29.32
19 Iranian_Mazandarani 30.14
20 Iranian 30.18

bmoney
11-11-2017, 12:55 AM
Group of individuals.

The diversity (distinctness rather than internal) is so high in Gujarat (perhaps higher than all of Europe) that four distinct clusters form within the Gujarati sample set.

"About time asked for some
f_3 stats. As a Christmas present:

## Sources Target f_3 Z
LBK Onge Vishwabrahmin 0.000734 0.641
LBK Onge Gujarati1 -0.006114 -4.582
LBK Onge Gujarati2 -0.006442 -4.955
LBK Onge Gujarati3 -0.001871 -1.325
LBK Onge Gujarati4 0.002510 1.814
MA1 Onge Vishwabrahmin 0.005237 4.136
MA1 Onge Gujarati1 0.002404 1.641
MA1 Onge Gujarati2 0.003153 2.124
MA1 Onge Gujarati3 0.004297 2.923
MA1 Onge Gujarati4 0.009156 6.084
LBK She Uzbek -0.024589 -26.829
MA1 She Uzbek -0.013565 -13.372

(There are 4 Gujarati groups in the Human Origins data, genetically distinct).

Implications for ancient DNA to the history of India and Asia are very interesting but
will need much more work."
http://www.anthrogenica.com/showthread.php?1756-Ancient-human-genomes-suggest-three-ancestral-populations-for-Europeans&p=24560&viewfull=1#post24560

Why do you think the diversity is so high in Gujarat

Having grown up there, yes I have seen the gamut of phenotypes from almost European looking like Priti Patel to Sri Lankan Tamil looking

Sapporo
11-11-2017, 01:07 AM
My results :

Population
Ancestral_North_Eurasian 39.07
Ancestral_South_Eurasian 18.86
East_Asian 7.15
West_European_Hunter_Gartherer 4.69
Natufian 30.23
Sub_Saharan -


Single Population Sharing:


# Population (source) Distance
1 GujaratiA 3.79
2 Punjabi 4.28
3 Pathan 4.45
4 Kalash 5.25
5 Sindhi 5.3
6 GujaratiB 7.47
7 Pashtun_Afghan 8.78
8 Burusho 8.95
9 Kurd_SE 10.51
10 GujaratiC 10.96
11 Balochi 11.85
12 Brahui 12.66
13 GujaratiD 13.21
14 Makrani 14.27
15 Punjabi_PJL 14.55
16 Tajik 15.71
17 Baloch_Iranian 16.2
18 CHG 20.76
19 Bengali 20.92
20 Iran_N 20.98


Question : In single population sharing from 1-20 what is Gujrati A? Punjabi PJI and Makrani etc? are these individuals or a group of individuals my result is compared against?

1. Gujarati A is a mixed group of individual samples from Houston. They are the most Northern/West shifted of the Gujarati group samples. Based on their diverse individual results, samples could be taken from Gujarati Brahmins, Sindhi like populations such as Lohanas and perhaps even some admixed Muslim Gujaratis or Memons/Khojas.

2. PJL are the Punjabi Lahore samples, which are extremely diverse in terms of autosomal admixture. Some being more Christian/Dalit like and others more Biraderi types like Jatts, Gujjars, Arains, Tarkhans, Khatris/Sheikhs, etc. The overall sample is very South shifted due to the number of dalit like samples.

3. Makrani are Makrani samples from the Human Genome Diversity Project (which also has FATA Pakhtuns, Sindhis, Baloch, Brahui, Burusho, Kalash, etc.)

bmoney
11-11-2017, 01:22 AM
1. Gujarati A is a mixed group of individual samples from Houston. They are the most Northern/West shifted of the Gujarati group samples. Based on their diverse individual results, samples could be taken from Gujarati Brahmins, Sindhi like populations such as Lohanas and perhaps even some admixed Muslim Gujaratis or Memons/Khojas.

2. PJL are the Punjabi Lahore samples, which are extremely diverse in terms of autosomal admixture. Some being more Christian/Dalit like and others more Biraderi types like Jatts, Gujjars, Arains, Tarkhans, Khatris/Sheikhs, etc. The overall sample is very South shifted due to the number of dalit like samples.

3. Makrani are Makrani samples from the Human Genome Diversity Project (which also has FATA Pakhtuns, Sindhis, Baloch, Burusho, Kalash, etc.)

Welcome back bro - feel free to contribute any knowledge to the L1 thread ive created

Also post your K6 and K13 results

Sapporo
11-11-2017, 01:41 AM
Welcome back bro - feel free to contribute any knowledge to the L1 thread ive created

Also post your K6 and K13 results



Admix Results (sorted):

# Population Percent
1 West_Asia 39.3
2 South_Asia 35.73
3 NE_Europe 16.42
4 SW_Asia 2.64
5 Siberia 1.86
6 Americas 1.59
7 East_Africa 1.33
8 SW_Europe 1.12

Single Population Sharing:

# Population (source) Distance
1 Punjabi 4.9
2 Kashmir_Pandit 5.15
3 Sindhi 8.49
4 Burusho 9.84
5 Pakistan_Pashtun 12.36
6 Pathan 12.56
7 Balochi 14.81
8 Afghan_Pashtun 15.01
9 Makrani 15.09
10 Brahui 15.63
11 Tamil_Nadu_Brahmin 16.97
12 Bengali 20.69
13 Tadjik 23.47
14 Velamas 24.38
15 UP_Muslim 26.66
16 Afghan_Uzbeki 27.24
17 Tamil_Nadu_Caste 27.7
18 Kurumba 28.18
19 Piramalai_Kallars 29.11
20 Romani 30.13

The only notable difference between me and the E Punjab Jatt samples is I score less SW Europe + more West Asian/SW Asian and I score more South Asia (+2.47) while scoring 0% Oceania and SE Asian in comparison to the combined (1.58%) of the E Punjab Jatt average.

bmoney
11-11-2017, 01:48 AM
Admix Results (sorted):

# Population Percent
1 West_Asia 39.3
2 South_Asia 35.73
3 NE_Europe 16.42
4 SW_Asia 2.64
5 Siberia 1.86
6 Americas 1.59
7 East_Africa 1.33
8 SW_Europe 1.12

Single Population Sharing:

# Population (source) Distance
1 Punjabi 4.9
2 Kashmir_Pandit 5.15
3 Sindhi 8.49
4 Burusho 9.84
5 Pakistan_Pashtun 12.36
6 Pathan 12.56
7 Balochi 14.81
8 Afghan_Pashtun 15.01
9 Makrani 15.09
10 Brahui 15.63
11 Tamil_Nadu_Brahmin 16.97
12 Bengali 20.69
13 Tadjik 23.47
14 Velamas 24.38
15 UP_Muslim 26.66
16 Afghan_Uzbeki 27.24
17 Tamil_Nadu_Caste 27.7
18 Kurumba 28.18
19 Piramalai_Kallars 29.11
20 Romani 30.13

The only notable difference between me and the E Punjab Jatt samples is I score less SW Europe + more West Asian/SW Asian and I score more South Asia (+2.47) while scoring 0 Oceania and SE Asian in comparison to the combined (1.58%) of the E Punjab Jatt average.

Near East Neolithic K13* Would be interested in seeing your Iran_N. I expect it to be high due your y-dna haplogroup

parasar
11-11-2017, 03:27 AM
Why do you think the diversity is so high in Gujarat

Having grown up there, yes I have seen the gamut of phenotypes from almost European looking like Priti Patel to Sri Lankan Tamil looking

In an place like Bihar it is even more - ranging from IE types to Dravidians to AA to TB.
But the reason is the same - folk have not mixed much.

In some ways like Europe was before the Bronze age:
“You have groups which are as genetically distinct as [current] Europeans and East Asians. And they're living side by side for thousands of years."
https://www.nytimes.com/2015/06/16/science/dna-deciphers-roots-of-modern-europeans.html

pnb123
11-12-2017, 05:36 AM
Population
SE_ASIAN 1.77
ANATOLIA_NEOLITHIC -
CHG_EEF 11.04
POLAR -
EHG 9.53
SUB_SAHARAN -
IRAN_NEOLITHIC 36.09
KARITIANA 1.18
ANCESTRAL_INDIAN 34.18
NATUFIAN 2.45
SIBERIAN -
PAPUAN 1.57
SHG_WHG 2.19




1 Burusho 4.4
2 Pathan 6.06
3 GujaratiA 6.94
4 Sindhi 7.65
5 Kalash 11.42
6 GujaratiB 12.22
7 Kurd_SE 13.32
8 Punjabi 13.84
9 Pashtun_Afghan 15.04
10 Balochi 16.44
11 Brahui 17.62
12 GujaratiC 18.5
13 Makrani 19.34
14 Iranian_Bandari 21.72
15 GujaratiD 22.66
16 Tajik 23
17 Bengali 24.69
18 Iranian_Shirazi 29.32
19 Iranian_Mazandarani 30.14
20 Iranian 30.18

Where are you from ? I think you're getting similar results as mine in this calculator and also in Ancient Eurasia k6.

khanabadoshi
11-12-2017, 06:09 AM
ANE
ASE
E ASIAN
WHG
NATUFIAN
SSA


Ancient; Satsurblia CHG
48.80%
6.95%
0.00%
1.65%
41.89%
0.71%


Punjab; Jatt Sikh - Sapporo
45.68%
15.47%
8.28%
1.64%
28.92%
0.00%


Punjab; Jatt PK - HRP0349 M
44.51%
18.73%
8.54%
0.66%
27.56%
0.00%


Punjab; Jatt PK - Dr_McNinja
44.01%
21.88%
6.63%
0.00%
27.25%
0.23%


Punjab; South | Kashmir - Jamil
42.87%
16.55%
7.68%
0.00%
32.48%
0.42%


Kurd SE
42.80%
12.12%
5.91%
2.34%
36.82%
0.00%


PK; Central - Sister
42.48%
19.21%
6.69%
1.31%
30.31%
0.00%


PK; Central - khanabadoshi
42.41%
17.89%
9.37%
0.00%
30.18%
0.15%


Punjab; Tarkhan Sikh - DLuffy
41.49%
20.03%
7.30%
3.10%
28.08%
0.00%


Iran; Baloch - Zara
41.40%
8.25%
1.73%
1.32%
42.58%
4.71%


Punjab; Jatt Pahari
41.38%
19.92%
9.45%
2.13%
27.12%
0.00%


Punjab; Jatt Pahari - Reza F
41.38%
19.92%
9.45%
2.13%
27.12%
0.00%


Punjab; Jatt PK - Bajwa
41.35%
19.56%
6.33%
3.80%
28.96%
0.00%


Punjab; Jatt Pahari - Kalyal
41.33%
18.59%
6.82%
2.05%
30.95%
0.26%


Iran; Baloch - Farid
41.33%
10.64%
2.70%
2.02%
39.20%
4.10%


KPK; Pashtun - Sein
41.16%
14.65%
7.77%
3.34%
33.08%
0.00%


KPK; Pashtun - Kaido
41.08%
13.79%
7.49%
4.42%
33.17%
0.04%


Gujarat; Khoja - Sheikh
40.99%
19.60%
5.72%
0.00%
31.43%
2.26%


Punjab; Jatt PK - HRP0374 M
40.94%
19.51%
9.45%
0.08%
28.71%
1.31%


Afghan; Pashtun/Tajik - Rukha
40.91%
12.39%
5.33%
8.00%
33.36%
0.00%


Punjab; Brahmin - 1
40.90%
17.72%
10.06%
3.95%
27.38%
0.00%


Punjab; Jatt Pahari - Nagyal
40.73%
18.91%
5.63%
1.88%
32.75%
0.10%


Punjab; Jatt PK - HRP0374 pUncle
40.71%
21.20%
10.75%
0.00%
27.34%
0.00%


Punjab; South | Dehli - mGFSister - Sadia
40.71%
20.94%
6.82%
0.51%
29.91%
1.12%


Jammu; Brahmin - Bored
40.69%
19.51%
11.00%
2.02%
26.78%
0.00%


India; Lohana - Thakkar
40.47%
15.93%
7.14%
4.66%
31.80%
0.00%


Sindhi; Memon - PK
40.40%
18.80%
6.73%
4.83%
28.76%
0.48%


Punjab; Jatt Sikh - Bajwa
40.39%
20.56%
5.35%
3.20%
30.50%
0.00%


Punjab; Jatt Pahari - Pakreel
40.28%
20.47%
6.64%
1.57%
31.05%
0.00%


Sindhi; Hindu
40.21%
18.12%
7.00%
1.43%
32.71%
0.52%


Saraswat; Brahmin Bhardwag, Jhingan
40.15%
15.74%
11.20%
2.67%
29.56%
0.68%


Punjab; Khatri - Kapoor
40.05%
17.67%
7.18%
4.94%
30.17%
0.00%


Punjab Jatt Pahari - Gondal
39.96%
18.17%
7.19%
4.98%
29.69%
0.00%


Punjab; Jatt Pahari - bol_nat
39.90%
19.13%
7.75%
4.81%
28.40%
0.00%


KPK; Swat - Yusufzai
39.88%
16.44%
7.68%
5.33%
30.67%
0.00%


Punjab; Jatt Sikh - Bal
39.69%
15.35%
6.30%
5.71%
32.95%
0.00%


Punjab; Jatt PK - Bhatti
39.66%
19.83%
7.50%
2.83%
29.20%
0.97%


Iran; Baloch - Relation
39.61%
11.60%
0.44%
1.29%
42.44%
4.63%


Punjab; Jatt Muslim - HRP0349 F
39.56%
21.30%
7.49%
2.89%
27.92%
0.84%


Punjab; Tarkhan Sikh - Sohan
39.54%
20.78%
5.19%
3.66%
30.84%
0.00%


Kashmiri; Pandit - Bhan
39.53%
19.69%
12.28%
1.24%
27.26%
0.00%


Punjab; Jatt Sikh - Jhaj/Judge/Grewal
39.48%
16.59%
6.58%
6.64%
29.38%
1.33%


Haryana; Jatt - 1
39.48%
16.45%
7.91%
7.98%
27.89%
0.29%


Punjab; Jatt Sikh - Sandhu
39.43%
14.06%
7.64%
7.02%
31.85%
0.00%


India; North - Brahmin parasar
39.42%
21.91%
9.70%
2.99%
25.98%
0.00%


Punjab; Khatri
39.38%
18.13%
7.81%
3.50%
31.18%
0.00%


Punjab; Tarkhan Sikh - Kalyan
39.32%
18.93%
10.03%
2.34%
29.37%
0.00%


Punjab; Jatt Sikh - Heer
39.30%
18.61%
4.59%
8.36%
29.14%
0.00%


Haryana; Jatt - 2
39.16%
15.37%
4.11%
11.14%
30.22%
0.00%


Kashmiri; PK
39.07%
19.20%
9.42%
3.91%
28.40%
0.00%


Punjab; Jatt PK - HRP0374 p1Cousin
38.93%
22.28%
7.00%
2.80%
28.61%
0.38%


Punjab; Jatt Sikh - Gill [M141527]
38.87%
18.60%
6.74%
6.02%
29.61%
0.17%


Nepali; Brahmin - Rimal 1
38.84%
18.18%
12.51%
2.68%
27.79%
0.00%


Punjab; Jatt Sikh - Sidhu
38.83%
13.87%
10.02%
7.23%
30.05%
0.00%


India; South - Tulu Brahmin
38.81%
22.85%
12.00%
0.00%
26.33%
0.00%


Sindhi; Lohana - Shikarpur
38.78%
21.68%
6.41%
4.01%
29.11%
0.00%


Punjab; Brahmin - 2
38.75%
18.40%
9.62%
1.55%
31.64%
0.00%


Punjab; Tarkhan Sikh - Sembhi
38.72%
20.56%
5.91%
3.67%
29.72%
1.43%


FATA; Pashtun - Mohmand
38.72%
13.74%
6.50%
8.47%
32.52%
0.00%


Kashmiri; Pandit - Raina
38.69%
20.77%
9.08%
3.23%
27.92%
0.31%


Punjab; Jatt Sikh - Sidhu
38.68%
15.85%
7.99%
7.09%
30.39%
0.00%


India; South - Tamil Brahmin
38.61%
26.22%
9.09%
0.21%
25.03%
0.84%


Punjab; Jatt Sikh - Sidhu/Gill - Ludhiana
38.60%
16.41%
8.82%
7.60%
28.32%
0.24%


Afghan; Tajik/Pashtun - Laghman
38.56%
14.49%
7.05%
5.50%
34.41%
0.00%


Punjab; Lahore - Rajput/Kashmiri
38.52%
19.21%
8.67%
2.51%
30.29%
0.80%


Punjab; South - Leghari
38.51%
16.91%
8.73%
2.42%
32.12%
1.32%


Afghan; Pashtun/Tajik - Laghman
38.49%
13.75%
9.02%
5.56%
33.18%
0.00%


Punjab; Jatt PK - Faisalabad
38.20%
21.35%
9.64%
2.56%
28.26%
0.00%


Punjab; Jatt Sikh - Hundal
38.15%
16.16%
8.24%
6.22%
31.24%
0.00%


Nepali; Brahmin - Paudel
38.01%
16.54%
13.55%
6.14%
25.29%
0.47%


India; South - Varun R
37.94%
26.54%
8.83%
1.50%
24.59%
0.60%


Punjab; Jatt Sikh - Dhillon
37.90%
16.90%
7.96%
6.37%
30.21%
0.67%


Punjab; Kamboj/Khatri/Arora
37.87%
18.46%
9.96%
3.62%
30.10%
0.00%


Kashmiri; Butt
37.86%
21.52%
9.47%
2.72%
28.01%
0.42%


Punjab; Potohar - Dhund Abbasi
37.86%
19.92%
9.85%
2.52%
29.24%
0.61%


PK; Central - mAunt
37.86%
17.12%
11.81%
2.62%
29.82%
0.76%


Afghan; Pashtun - Kandahar [M026581]
37.38%
9.59%
7.26%
9.76%
34.67%
1.34%


Punjab; Multan - Syed/Durrani
37.09%
17.27%
10.72%
4.08%
30.85%
0.00%


India; Gujurat/Maharashtra - ashwinb
36.97%
29.86%
9.34%
0.00%
23.68%
0.00%


KPK; Kho - 2
36.85%
10.14%
12.66%
8.51%
31.84%
0.00%


Afghan; Pashtun - Kabul/Logar [M644395]
36.81%
11.18%
5.71%
10.91%
34.93%
0.46%


Himachal; Brahmin, KA
36.72%
22.02%
11.92%
2.81%
26.54%
0.00%


Nepali; Brahmin - Duwadi
36.66%
22.03%
12.57%
5.10%
23.49%
0.14%


Nepali; Brahmin - Rimal 2
36.65%
18.82%
14.02%
4.43%
26.08%
0.00%


India; South - Patel
36.46%
26.30%
12.86%
0.00%
23.97%
0.41%


Afghan; Pashtun - HRP0370
36.28%
11.32%
4.95%
10.97%
35.84%
0.64%


India; North - UP/Mumbai Muslim
36.21%
23.57%
13.19%
0.00%
27.03%
0.00%


Punjab; PK
36.15%
22.22%
13.48%
4.16%
23.77%
0.22%


KPK; Drosh | Uzbek - Balqees
35.77%
13.22%
12.34%
10.32%
28.35%
0.00%


Afghan; Pashtun - Barakzai/Durrani
35.73%
11.95%
4.84%
9.81%
37.17%
0.51%


KPK; Kho - 1
35.69%
12.87%
12.36%
7.98%
30.63%
0.47%


Afghan; Tajik/Pashtun - W.N.
35.61%
12.71%
9.97%
8.17%
33.54%
0.00%


India; South - Tamil
35.45%
30.36%
11.90%
0.00%
22.29%
0.00%


Kurd - KRD100K
35.00%
5.58%
1.77%
9.63%
48.01%
0.00%


Kurd C1
34.50%
7.12%
0.74%
6.88%
49.62%
1.15%


Kurd - KRD102Z
34.10%
5.49%
0.15%
10.57%
49.69%
0.00%


Kurd - KRD035F
33.89%
6.10%
0.00%
8.92%
49.71%
1.38%


Bangladeshi; Bengali - Reza
32.87%
25.36%
23.39%
0.00%
18.38%
0.00%


Kurd - KRD266Z
32.03%
5.52%
0.00%
11.74%
49.65%
1.06%


Kurd - KRD004Z
31.99%
6.25%
0.90%
11.73%
48.80%
0.32%


Kurd - KRD047S
31.95%
6.31%
1.68%
10.98%
48.51%
0.58%


Kurd - KRD058Z
31.75%
5.82%
1.67%
12.14%
47.91%
0.71%


Kurd - KRD032S
31.71%
5.75%
1.38%
11.85%
48.32%
1.00%


Kurd C2
31.56%
6.42%
3.86%
9.75%
47.87%
0.54%


Kurd - KRD090F
31.49%
7.36%
0.00%
9.72%
50.12%
1.31%


Kurd - KRD076Z
31.39%
5.86%
1.78%
11.29%
49.71%
0.00%


KPK; Drosh | Uzbek - Ghafoor
31.22%
11.30%
19.22%
11.22%
27.13%
0.00%


Kurd - KRD092S
31.18%
8.51%
2.79%
8.84%
46.87%
1.81%


Kurd - KRD257S
31.05%
5.14%
1.96%
12.80%
48.13%
0.91%


Iran - DMXX
30.90%
5.11%
6.14%
10.08%
44.83%
2.94%


Kurd - KRD001Z
30.85%
5.52%
0.45%
12.53%
49.82%
0.83%


Euro | Kho - Mix
29.82%
6.95%
4.27%
26.58%
32.39%
0.00%


India; Assam - jortita
28.90%
22.67%
25.90%
0.82%
20.59%
1.12%


Kurd - KRD060K
28.75%
5.83%
1.57%
13.41%
50.44%
0.00%


Armenian 15
26.01%
5.35%
0.00%
16.41%
52.23%
0.00%


Hazara 1
21.92%
5.36%
44.26%
8.70%
19.39%
0.38%


Somali - Deftextra C2
20.48%
6.14%
5.23%
4.73%
31.37%
32.04%


Somali - Deftextra C1
19.65%
9.38%
4.31%
7.32%
30.22%
29.12%


Somali - Deftextra C3
17.79%
8.51%
4.21%
5.88%
30.13%
33.48%


Somali - Deftextra
16.73%
7.25%
6.32%
6.02%
28.68%
35.01%


Filipino; Ilocano/Tagalog - shazou
1.23%
8.00%
87.14%
1.60%
2.03%
0.00%

vintage_sky
11-12-2017, 08:52 AM
Near East Neolithic K13 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 IRAN_NEOLITHIC 39.72
2 ANCESTRAL_INDIAN 33.19
3 CHG_EEF 10.80
4 EHG 9.65
5 PAPUAN 2.36
6 SHG_WHG 1.71
7 POLAR 1.06


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Pathan @ 4.612293
2 Sindhi @ 6.357607
3 Burusho @ 6.633368
4 GujaratiA @ 8.385580
5 Kalash @ 10.179917
6 Kurd_SE @ 12.055950
7 GujaratiB @ 14.182335
8 Balochi @ 15.060312
9 Punjabi @ 15.926130
10 Brahui @ 16.245686
11 Pashtun_Afghan @ 16.345610
12 Makrani @ 18.572668
13 GujaratiC @ 21.225742
14 Iranian_Bandari @ 22.650402
15 GujaratiD @ 25.447985
16 Tajik @ 26.021667
17 Bengali @ 28.849539
18 Iranian_Mazandarani @ 32.243382
19 Iranian_Shirazi @ 32.437817
20 Iranian @ 33.363483

Using 2 populations approximation:
1 50% Pathan +50% Sindhi @ 2.856772


Using 3 populations approximation:
1 50% Pathan +25% Pathan +25% Punjabi @ 2.582575


Using 4 populations approximation:
+++++++++++++++++++++++++++++
1 Burusho + Pathan + Pathan + Sindhi @ 2.396328
2 GujaratiB + Pathan + Pathan + Pathan @ 2.544369
3 GujaratiA + Pathan + Pathan + Sindhi @ 2.572376
4 Pathan + Pathan + Pathan + Punjabi @ 2.582575
5 Kalash + Pathan + Pathan + Punjabi @ 2.583853
6 Pashtun_Afghan + Pathan + Punjabi + Sindhi @ 2.647959
7 GujaratiA + Kalash + Pathan + Sindhi @ 2.678838
8 GujaratiA + Pashtun_Afghan + Sindhi + Sindhi @ 2.702577
9 GujaratiC + Kalash + Pathan + Pathan @ 2.702773
10 GujaratiB + Pashtun_Afghan + Pathan + Sindhi @ 2.724005
11 GujaratiC + Kalash + Pashtun_Afghan + Sindhi @ 2.729553
12 GujaratiD + Pashtun_Afghan + Pathan + Pathan @ 2.788436
13 GujaratiA + Pathan + Pathan + Pathan @ 2.826546
14 GujaratiD + Kalash + Pashtun_Afghan + Pathan @ 2.847839
15 GujaratiB + Kalash + Pathan + Pathan @ 2.850744
16 Pathan + Pathan + Sindhi + Sindhi @ 2.856772
17 Burusho + Kalash + Sindhi + Sindhi @ 2.898367
18 Kalash + Pashtun_Afghan + Punjabi + Sindhi @ 2.937663
19 GujaratiC + Kalash + Kalash + Pathan @ 2.946650
20 GujaratiD + Kalash + Kalash + Pathan @ 2.963330

Done.

What gives?

Arlus
11-12-2017, 02:13 PM
# Population Percent
1 Ancestral_North_Eurasian 32.64
2 Ancestral_South_Eurasian 32.4
3 Natufian 19.21
4 East_Asian 15.75

Single Population Sharing:

# Population (source) Distance
1 Bengali 4.41
2 Punjabi_PJL 7.92
3 GujaratiD 9.51
4 GujaratiC 12.06
5 Palliyar 14.31
6 GujaratiB 16.57
7 GujaratiA 18.87
8 Burusho 18.96
9 Paniyas 20.04
10 Punjabi 20.09
11 Sindhi 22.27
12 Pathan 24.73
13 Kalash 25.74
14 Pashtun_Afghan 26.76
15 Kharia 27.07
16 Kurd_SE 30.17
17 Tajik 30.41
18 Balochi 31.22
19 Brahui 31.92
20 Makrani 33.49

Arlus
11-12-2017, 02:16 PM
Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 50.74
2 IRAN_NEOLITHIC 32.92
3 EHG 4.94
4 SE_ASIAN 4.66
5 PAPUAN 4.34
6 ANATOLIA_NEOLITHIC 1.05
7 KARITIANA 0.93
8 SUB_SAHARAN 0.34
9 CHG_EEF 0.09

Single Population Sharing:

# Population (source) Distance
1 Bengali 7
2 GujaratiC 7.65
3 GujaratiD 8.95
4 Punjabi 9.61
5 GujaratiB 10.75
6 GujaratiA 15.48
7 Sindhi 18.32
8 Burusho 19
9 Pathan 24.59
10 Kurd_SE 26.61
11 Kalash 29.61
12 Balochi 30.79
13 Brahui 31.37
14 Makrani 33.96
15 Pashtun_Afghan 34.1
16 Iranian_Bandari 38.38
17 Kusunda 39.23
18 Tajik 40.72
19 Iranian_Shirazi 46.4
20 Iranian 47.27

Zayd
11-14-2017, 11:42 PM
K6:
1 Ancestral_North_Eurasian 32.61
2 Ancestral_South_Eurasian 28.39
3 East_Asian 20.06
4 Natufian 18.94

K13:
1 ANCESTRAL_INDIAN 44.78
2 IRAN_NEOLITHIC 28.28
3 EHG 9.70
4 SE_ASIAN 7.36
5 PAPUAN 3.92
6 SIBERIAN 3.06
7 SHG_WHG 1.60


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 GujaratiB @ 12.834516
2 Punjabi @ 13.502566
3 Bengali @ 14.175789
4 GujaratiC @ 14.585217
5 GujaratiA @ 15.482197
6 Burusho @ 16.741713
7 GujaratiD @ 17.871828
8 Sindhi @ 19.791222
9 Pathan @ 24.303364
10 Kurd_SE @ 26.031487
11 Kalash @ 28.797338
12 Balochi @ 32.457733
13 Pashtun_Afghan @ 33.073467
14 Brahui @ 33.294857
15 Makrani @ 35.717350
16 Tajik @ 38.566837
17 Iranian_Bandari @ 38.814049
18 Kusunda @ 41.628033
19 Turkmen @ 46.110161
20 Uzbek @ 46.378361

Using 2 populations approximation:
1 50% Bengali +50% Burusho @ 8.316038


Using 3 populations approximation:
1 50% GujaratiB +25% Kurd_SE +25% Kusunda @ 6.411731

misanthropy
11-15-2017, 05:13 AM
Ancient Eurasia K6

Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 33.67
2 Natufian 26.03
3 Ancestral_South_Eurasian 23.52
4 East_Asian 15.23
5 Sub_Saharan 1.54

Single Population Sharing:

# Population (source) Distance
1 GujaratiD 9.02
2 Punjabi_PJL 9.21
3 Burusho 9.37
4 GujaratiC 9.39
5 Bengali 10.32
6 GujaratiB 10.64
7 GujaratiA 11.77
8 Punjabi 12.28
9 Sindhi 14.07
10 Pathan 15.73
11 Kalash 16.88
12 Pashtun_Afghan 16.89
13 Kurd_SE 20.44
14 Tajik 21.18
15 Balochi 21.83
16 Brahui 22.45
17 Makrani 23.81
18 Palliyar 24.93
19 Baloch_Iranian 25.43
20 Turkmen 28.95

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.6% Brahui + 39.4% Kharia @ 0.57
2 61.3% Balochi + 38.7% Kharia @ 0.71
3 52.9% CHG + 47.1% Kharia @ 1.51
4 75.7% Bengali + 24.3% Iranian_Lori @ 1.66
5 76.8% Bengali + 23.2% Iran_LN @ 1.68
6 74.5% Bengali + 25.5% Iranian_Shirazi @ 1.88
7 74.8% Bengali + 25.2% Iranian_Mazandarani @ 1.97
8 59.3% Makrani + 40.7% Kharia @ 2.08
9 77.5% Bengali + 22.5% Kurd_F @ 2.09
10 71.5% Bengali + 28.5% Baloch_Iranian @ 2.11
11 75.1% Bengali + 24.9% Iran_N @ 2.16
12 76.2% Bengali + 23.8% Iran_ChL @ 2.32
13 76.2% Bengali + 23.8% Kurd_C @ 2.51
14 70.3% Bengali + 29.7% Makrani @ 2.52
15 63% Kurd_SE + 37% Kharia @ 2.53
16 76.3% Bengali + 23.7% Iranian @ 2.68
17 75.5% Bengali + 24.5% Iran_recent @ 2.78
18 69.3% Bengali + 30.7% Brahui @ 3.03
19 80.7% Bengali + 19.3% Jew_iraqi @ 3.03
20 71.5% Sindhi + 28.5% Kharia @ 3.06

************************************************** ***********************

Near East Neolithic K13

Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 42.28
2 IRAN_NEOLITHIC 35.5
3 NATUFIAN 5.66
4 EHG 5
5 SE_ASIAN 3.11
6 PAPUAN 2.06
7 POLAR 1.41
8 SUB_SAHARAN 1.4
9 SHG_WHG 1.23
10 CHG_EEF 1.13
11 KARITIANA 0.82
12 SIBERIAN 0.39

Single Population Sharing:

# Population (source) Distance
1 GujaratiB 8.7
2 Punjabi 9.08
3 GujaratiA 10.88
4 GujaratiC 11.19
5 Sindhi 11.66
6 Burusho 13.4
7 GujaratiD 14.02
8 Bengali 15.65
9 Pathan 17.74
10 Kurd_SE 18.73
11 Balochi 22.42
12 Kalash 22.67
13 Brahui 23.05
14 Makrani 25.2
15 Pashtun_Afghan 26.79
16 Iranian_Bandari 29.36
17 Tajik 34.18
18 Iranian_Shirazi 37.76
19 Iranian 38.87
20 Iranian_Mazandarani 39.39

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.3% Bengali + 37.7% Makrani @ 4.45
2 66% Bengali + 34% Iranian_Bandari @ 4.62
3 59.6% Bengali + 40.4% Balochi @ 5.07
4 60.3% Bengali + 39.7% Brahui @ 5.13
5 84.2% GujaratiC + 15.8% Yemeni @ 5.39
6 80.2% GujaratiD + 19.8% Yemeni @ 5.48
7 93.6% Punjabi + 6.4% Natufian @ 5.7
8 85.8% GujaratiC + 14.2% Jew_Yemenite @ 5.74
9 55.1% Bengali + 44.9% Kurd_SE @ 5.76
10 88.2% Punjabi + 11.8% Yemeni @ 5.81
11 79.3% GujaratiD + 20.7% Syrian @ 5.86
12 90.6% Punjabi + 9.4% Levant_BA @ 5.9
13 79.9% GujaratiD + 20.1% Jordanian @ 5.9
14 80.8% GujaratiD + 19.2% BedouinA @ 5.91
15 86.1% GujaratiC + 13.9% Saudi @ 5.91
16 80.4% GujaratiD + 19.6% Palestinian @ 5.91
17 89.5% Punjabi + 10.5% Jew_Yemenite @ 6
18 94.3% GujaratiB + 5.7% Natufian @ 6.09
19 81.5% GujaratiD + 18.5% Egyptian @ 6.09
20 85.1% GujaratiC + 14.9% BedouinA @ 6.09

poi
11-18-2017, 05:43 AM
Has anyone done this with their K36? http://gen3553.pagesperso-orange.fr/ADN/ancient.htm

Here are my results. I am curious to other South Asians' results.

https://i.imgur.com/tHdlHNe.gif

kush
11-18-2017, 07:12 AM
https://imgur.com/4JaEniv.jpg

Arlus
11-18-2017, 09:44 AM
19845

parasar
11-18-2017, 10:21 PM
Has anyone done this with their K36? http://gen3553.pagesperso-orange.fr/ADN/ancient.htm

Here are my results. I am curious to other South Asians' results.

https://i.imgur.com/tHdlHNe.gif

South Asians ~ Paleolithic Europeans.:)

kush
11-18-2017, 11:37 PM
You should also try this link. It shows similarities with different populations visually on a map. Pretty cool tbh.
I match the most with the telugu population at 96%. Pretty accurate..
http://gen3553.pagesperso-orange.fr/ADN/similitude.htm

https://imgur.com/7Vax523.jpg
https://imgur.com/aoCmZBh.jpg
https://imgur.com/BS89Eut.jpg

bmoney
11-19-2017, 01:15 AM
You should also try this link. It shows similarities with different populations visually on a map. Pretty cool tbh.

Both are cool - here my biggest match is 4500 BC Iran followed by Ust'Ishim

19859

My India matches peak in Maharashtra - similar to the Harappa dna oracle - need more Indian regions on it though

19860

bmoney
11-19-2017, 01:20 AM
Has anyone done this with their K36? http://gen3553.pagesperso-orange.fr/ADN/ancient.htm

Poi your biggest match is Mal'ta man - strong R connection

bmoney
11-19-2017, 01:27 AM
@Arlus Thats interesting, you don't match much with pops outside the Paleolithic - the other ancestral components must be sitting in ancient samples not present in this graph

Wonder which pops it could be...

Can everyone else do this or should we create a separate thread?

misanthropy
11-19-2017, 01:33 AM
I made a thread before for the Eurogenes tools results for South Asians (you could find mine in the OP): http://www.anthrogenica.com/showthread.php?11431-Post-your-Eurogenes-maps

bmoney
11-19-2017, 01:36 AM
South Asians ~ Paleolithic Europeans.:)

+ Steppe Yamnaya + Steppe South-Siberia + CHG + Iran_N and thats pretty much all folks -

want to see Indian tribals on this

bmoney
11-19-2017, 01:40 AM
I made a thread before for the Eurogenes tools results for South Asians (you could find mine in the OP): http://www.anthrogenica.com/showthread.php?11431-Post-your-Eurogenes-maps

Nice one, didnt see it - lets move the party to your thread - bloody hell this random Taux de similitude graph has told me more about South Asian ancestry than anything else in the last 3 months

kush
11-19-2017, 01:45 AM
I made a thread before for the Eurogenes tools results for South Asians (you could find mine in the OP): http://www.anthrogenica.com/showthread.php?11431-Post-your-Eurogenes-maps

yo sorry forgot to mention your thread bro. I posted my results there before as well. Thanks for posting the thread link here :)

khanabadoshi
11-19-2017, 11:44 PM
*moved*

parasar
11-19-2017, 11:53 PM
+ Steppe Yamnaya + Steppe South-Siberia + CHG + Iran_N and thats pretty much all folks -

want to see Indian tribals on this

Yes kind of.
In decreasing order for me:

1. Paleolithic before glaciation
43,000 BC - Siberia - Ust'Ishim 38
40,000 BC - Romania - Oase 34
22,000 BC - Siberia - Mal'ta 39
35,000 BC - Russia - Kostenki14 36
33,000 BC - Belgium - Goyet 27
28,000 BC - Czech R. - Vestonice 26

2. SC Asia
7,250 BC - Iran - WC1 36
8,000 BC - Iran - I1290 36
4,500 BC - Iran - I1661 36
4,500 BC - Iran - 1665 24

3. Yamnaya Zone
3,000 BC - Yamnaya I0443 28
2,700 BC - Poltavka I0440 25
2,500 BC - Ulan IV 32
2,500 BC - Yamnaya I0231 29
1,800 BC - Srubnaya I0354 27

4. South-Siberia
2,782 BC - Afanasievo - Rise509 18
2,500 BC - Afanasievo - Rise511 26
1,700 BC - Andronovo - Rise505 25
1,477 BC - Rise493 27
1,300 BC - Andronovo - Rise512 21
1,070 BC - Arban - Rise496 25
1,000 BC - Rise500 18

5. Caucasus
11,200 BC - Georgia - Satsurblia 14
7,700 BC - Georgia - Kotias1 18
7,700 BC - Georgia - Kotias2 16
4,000 BC - Armenia - I1631 12
3,300 BC - Armenia - I1658 6
1,500 BC - Armenia - I1656 16
1,500 BC - Armenia - Rise423 20
1,000 BC - Armenia - Rise407 24

6. European Zone, until neolithic
15,000 BC - Siberia - Afontovagora 23

7. Central Europe
2,500 BC - Germany (CW) - I0103 21
2,410 BC - Germany (CW) - I0104 21
2,400 BC - Germany - I0118 16
2,200 BC - Germany (BB) - I0806 16

8. NorthWest Europe
2,000 BC - Ireland - Rathlin1 20

bmoney
11-20-2017, 11:01 AM
Yes kind of.
In decreasing order for me:

1. Paleolithic before glaciation
43,000 BC - Siberia - Ust'Ishim 38
40,000 BC - Romania - Oase 34
22,000 BC - Siberia - Mal'ta 39
35,000 BC - Russia - Kostenki14 36
33,000 BC - Belgium - Goyet 27
28,000 BC - Czech R. - Vestonice 26

2. SC Asia
7,250 BC - Iran - WC1 36
8,000 BC - Iran - I1290 36
4,500 BC - Iran - I1661 36
4,500 BC - Iran - 1665 24

3. Yamnaya Zone
3,000 BC - Yamnaya I0443 28
2,700 BC - Poltavka I0440 25
2,500 BC - Ulan IV 32
2,500 BC - Yamnaya I0231 29
1,800 BC - Srubnaya I0354 27

4. South-Siberia
2,782 BC - Afanasievo - Rise509 18
2,500 BC - Afanasievo - Rise511 26
1,700 BC - Andronovo - Rise505 25
1,477 BC - Rise493 27
1,300 BC - Andronovo - Rise512 21
1,070 BC - Arban - Rise496 25
1,000 BC - Rise500 18

5. Caucasus
11,200 BC - Georgia - Satsurblia 14
7,700 BC - Georgia - Kotias1 18
7,700 BC - Georgia - Kotias2 16
4,000 BC - Armenia - I1631 12
3,300 BC - Armenia - I1658 6
1,500 BC - Armenia - I1656 16
1,500 BC - Armenia - Rise423 20
1,000 BC - Armenia - Rise407 24

6. European Zone, until neolithic
15,000 BC - Siberia - Afontovagora 23

7. Central Europe
2,500 BC - Germany (CW) - I0103 21
2,410 BC - Germany (CW) - I0104 21
2,400 BC - Germany - I0118 16
2,200 BC - Germany (BB) - I0806 16

8. NorthWest Europe
2,000 BC - Ireland - Rathlin1 20

You have high matches all around - you are almost pan-continental Eurasian minus Levant + Anatolian - probably due to the high contribution the Steppe has made to Eurasians

where do you match the most on the India map?

Khana, Dluffy, Bengalis want to give it a crack?

tipirneni
11-21-2017, 04:47 AM
gedrosia K6 Oracle
Kit Txx

Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 37.18
2 Ancestral_South_Eurasian 28.92
3 Natufian 20.55
4 East_Asian 13.32
5 Sub_Saharan 0.03

Single Population Sharing:

# Population (source) Distance
1 Punjabi_PJL 2.77
2 GujaratiD 3.8
3 GujaratiC 6.62
4 Bengali 7.48
5 GujaratiB 10.65
6 GujaratiA 13.46
7 Punjabi 14.51
8 Burusho 14.59
9 Sindhi 16.9
10 Pathan 19.6
11 Palliyar 19.92
12 Kalash 20.61
13 Pashtun_Afghan 22.66
14 Kurd_SE 25.13
15 Paniyas 25.56
16 Balochi 26.16
17 Brahui 26.91
18 Tajik 27.25
19 Makrani 28.67
20 Baloch_Iranian 30.75

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.9% Punjabi_PJL + 4.1% Pima @ 0.82
2 95.5% Punjabi_PJL + 4.5% Clovis @ 0.85
3 96.7% Punjabi_PJL + 3.3% Eskimo @ 0.88
4 66.9% GujaratiD + 33.1% Bengali @ 0.98
5 97.1% Punjabi_PJL + 2.9% Nganasan @ 0.98
6 95.7% Punjabi_PJL + 4.3% Kusunda @ 0.99
7 97.1% Punjabi_PJL + 2.9% Tibetan @ 1
8 96.3% Punjabi_PJL + 3.7% Sherpa @ 1
9 89.9% GujaratiD + 10.1% Kharia @ 1.03
10 97.4% Punjabi_PJL + 2.6% Ulchi @ 1.03
11 97.3% Punjabi_PJL + 2.7% Ami @ 1.03
12 97.4% Punjabi_PJL + 2.6% Han @ 1.04
13 97.4% Punjabi_PJL + 2.6% Dai @ 1.04
14 96.7% Punjabi_PJL + 3.3% Cambodian @ 1.06
15 97.3% Punjabi_PJL + 2.7% Mongola @ 1.09
16 74.6% Punjabi_PJL + 25.4% Bengali @ 1.15
17 96.8% Punjabi_PJL + 3.2% Kalmyk @ 1.16
18 96.5% Punjabi_PJL + 3.5% Altaian @ 1.23
19 96.3% Punjabi_PJL + 3.7% Kyrgyz @ 1.35
20 94.4% GujaratiD + 5.6% Kusunda @ 1.6


Ancient Eurasia K6 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

gedrosia K6 Oracle

Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 37.18
2 Ancestral_South_Eurasian 28.92
3 Natufian 20.55
4 East_Asian 13.32


Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Punjabi_PJL @ 2.847092
2 GujaratiD @ 3.869269
3 GujaratiC @ 6.711767
4 Bengali @ 7.637662
5 GujaratiB @ 10.779576
6 GujaratiA @ 13.664439
7 Punjabi @ 14.699165
8 Burusho @ 14.971711
9 Sindhi @ 17.026245
10 Pathan @ 19.882652
11 Palliyar @ 20.130989
12 Kalash @ 20.914474
13 Pashtun_Afghan @ 23.068459
14 Kurd_SE @ 25.343739
15 Paniyas @ 25.889154
16 Balochi @ 26.328218
17 Brahui @ 27.076447
18 Tajik @ 27.917334
19 Makrani @ 28.867464
20 Baloch_Iranian @ 30.972765

Using 2 populations approximation:
1 50% Bengali +50% GujaratiC @ 1.831478


Using 3 populations approximation:
1 50% Bengali +25% GujaratiC +25% GujaratiC @ 1.831478


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++
1 Bengali + GujaratiD + Punjabi_PJL + Punjabi_PJL @ 1.013111
2 Bengali + GujaratiD + GujaratiD + Punjabi_PJL @ 1.084096
3 Bengali + Punjabi_PJL + Punjabi_PJL + Punjabi_PJL @ 1.140579
4 Bengali + GujaratiD + GujaratiD + GujaratiD @ 1.305963
5 Bengali + GujaratiB + GujaratiB + Palliyar @ 1.548610
6 Bengali + GujaratiC + Punjabi_PJL + Punjabi_PJL @ 1.568302
7 Bengali + GujaratiC + GujaratiD + Punjabi_PJL @ 1.750346
8 Burusho + GujaratiB + GujaratiD + Paniyas @ 1.767009
9 Bengali + GujaratiB + Palliyar + Punjabi @ 1.781465
10 Burusho + GujaratiD + GujaratiD + Palliyar @ 1.798610
11 Bengali + Bengali + GujaratiC + GujaratiC @ 1.831478
12 Bengali + Bengali + GujaratiC + GujaratiD @ 1.848223
13 Burusho + GujaratiB + Paniyas + Punjabi_PJL @ 1.853450
14 Burusho + GujaratiC + GujaratiD + Palliyar @ 1.930839
15 Burusho + GujaratiC + Palliyar + Punjabi_PJL @ 1.992579
16 Burusho + GujaratiD + Palliyar + Punjabi_PJL @ 1.995188
17 Bengali + GujaratiC + GujaratiD + GujaratiD @ 2.021405
18 Bengali + Bengali + GujaratiC + Punjabi_PJL @ 2.038647
19 Bengali + GujaratiA + GujaratiB + Palliyar @ 2.043208

20 Bengali + GujaratiB + Palliyar + Sindhi @ 2.081966

tipirneni
11-21-2017, 04:52 AM
You have high matches all around - you are almost pan-continental Eurasian minus Levant + Anatolian - probably due to the high contribution the Steppe has made to Eurasians

where do you match the most on the India map?

Khana, Dluffy, Bengalis want to give it a crack?

i was getting hits on BR2 RISE19899

tipirneni
11-21-2017, 04:59 AM
k13 match

Population
SE_ASIAN 0.20
ANATOLIA_NEOLITHIC -
CHG_EEF -
POLAR -
EHG 3.73
SUB_SAHARAN 0.90
IRAN_NEOLITHIC 39.32
KARITIANA 1.18
ANCESTRAL_INDIAN 49.57
NATUFIAN -
SIBERIAN 1.80
PAPUAN 3.30
SHG_WHG -
Oracle
Oracle-4

Spreadsheet



gedrosia K13 Oracle

Kit TXXXXX
Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 49.57
2 IRAN_NEOLITHIC 39.32
3 EHG 3.73
4 PAPUAN 3.3
5 SIBERIAN 1.8
6 KARITIANA 1.18
7 SUB_SAHARAN 0.9
8 SE_ASIAN 0.2

Single Population Sharing:

# Population (source) Distance
1 GujaratiC 6.32
2 GujaratiD 6.59
3 Punjabi 7.64
4 GujaratiB 9.17
5 Bengali 12.25
6 GujaratiA 14.15
7 Sindhi 15
8 Burusho 18.66
9 Pathan 22.69
10 Kurd_SE 23.81
11 Balochi 27.02
12 Brahui 27.41
13 Kalash 27.43
14 Makrani 30.3
15 Pashtun_Afghan 33.08
16 Iranian_Bandari 36.29
17 Tajik 41.03
18 Iranian_Shirazi 45.37
19 Kusunda 45.39
20 Iranian_Mazandarani 45.81

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.4% GujaratiD + 14.6% Makrani @ 4.15
2 82.1% GujaratiD + 17.9% Kurd_SE @ 4.16
3 91% GujaratiD + 9% Iran_recent @ 4.18
4 84.2% GujaratiD + 15.8% Brahui @ 4.18
5 84% GujaratiD + 16% Balochi @ 4.21
6 87.7% GujaratiD + 12.3% Iranian_Bandari @ 4.26
7 92.1% GujaratiD + 7.9% Iran_ChL @ 4.34
8 86.4% Bengali + 13.6% Iran_LN @ 4.39
9 86.4% Bengali + 13.6% Iran_N @ 4.39
10 74.5% GujaratiD + 25.5% Sindhi @ 4.4
11 91.8% GujaratiD + 8.2% Armenia_MLBA @ 4.57
12 90.8% GujaratiD + 9.2% Kurd_C @ 4.59
13 90.6% GujaratiD + 9.4% Iranian_Mazandarani @ 4.62
14 91.2% GujaratiD + 8.8% Iranian_Lori @ 4.64
15 85.3% GujaratiD + 14.7% Kalash @ 4.67
16 91% GujaratiD + 9% Iranian @ 4.74
17 87.8% GujaratiD + 12.2% Pashtun_Afghan @ 4.76
18 90.8% GujaratiD + 9.2% Iranian_Shirazi @ 4.76
19 91.7% GujaratiD + 8.3% Turkmen @ 4.78
20 83% GujaratiD + 17% Pathan @ 4.78

gedrosia K13 Oracle

Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 49.57
2 IRAN_NEOLITHIC 39.32
3 EHG 3.73
4 PAPUAN 3.30
5 SIBERIAN 1.80
6 KARITIANA 1.18


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 GujaratiC @ 6.414821
2 GujaratiD @ 6.909988
3 Punjabi @ 7.857091
4 GujaratiB @ 9.629779
5 Bengali @ 13.163112
6 GujaratiA @ 15.186642
7 Sindhi @ 16.265789
8 Burusho @ 20.310812
9 Pathan @ 24.775949
10 Kurd_SE @ 25.912270
11 Balochi @ 29.465199
12 Brahui @ 29.871674
13 Kalash @ 29.949879
14 Makrani @ 33.025314
15 Pashtun_Afghan @ 36.236847
16 Iranian_Bandari @ 39.568985
17 Tajik @ 44.870602
18 Kusunda @ 48.694592
19 Iranian_Shirazi @ 49.616272
20 Iranian_Mazandarani @ 50.205254

Using 2 populations approximation:
1 50% GujaratiD +50% Punjabi @ 5.394783


Using 3 populations approximation:
1 50% GujaratiD +25% GujaratiD +25% Sindhi @ 4.274085


Using 4 populations approximation:
+++++++++++++++++++++++++++++++
1 GujaratiD + GujaratiD + GujaratiD + Sindhi @ 4.274085
2 Bengali + Brahui + GujaratiD + GujaratiD @ 4.407350
3 GujaratiD + GujaratiD + GujaratiD + Kurd_SE @ 4.520602
4 Balochi + Bengali + GujaratiD + GujaratiD @ 4.525215
5 GujaratiC + GujaratiD + GujaratiD + Sindhi @ 4.715156
6 Bengali + GujaratiD + GujaratiD + Kurd_SE @ 4.761705
7 Bengali + GujaratiD + GujaratiD + Sindhi @ 4.805288
8 Burusho + GujaratiD + GujaratiD + GujaratiD @ 4.926806
9 Bengali + GujaratiD + GujaratiD + Makrani @ 4.989939
10 Bengali + Bengali + Brahui + GujaratiD @ 5.032840
11 Balochi + GujaratiD + GujaratiD + GujaratiD @ 5.064444
12 Brahui + GujaratiD + GujaratiD + GujaratiD @ 5.088000
13 GujaratiD + GujaratiD + Punjabi + Sindhi @ 5.230446
14 GujaratiA + GujaratiD + GujaratiD + GujaratiD @ 5.263466
15 GujaratiD + GujaratiD + GujaratiD + Pathan @ 5.263976
16 Balochi + Bengali + Bengali + GujaratiD @ 5.268968
17 Bengali + Brahui + GujaratiC + GujaratiD @ 5.291195
18 Bengali + GujaratiC + GujaratiD + Sindhi @ 5.325622
19 GujaratiC + GujaratiD + GujaratiD + Kurd_SE @ 5.341862
20 GujaratiB + GujaratiD + GujaratiD + GujaratiD @ 5.376580

kush
11-21-2017, 05:17 AM
^ Hey nice to see another telugu person on this forum. Where are you from in andhra pradesh?

tipirneni
11-21-2017, 05:29 AM
^ Hey nice to see another telugu person on this forum. Where are you from in andhra pradesh?

Hyderabad Vijayawada

kush
11-21-2017, 05:37 AM
Hyderabad Vijayawada

Cool. My family's from Adilabad and Nizamabad..

tipirneni
11-21-2017, 03:55 PM
Cool. My family's from Adilabad and Nizamabad..

Locally in Andhra Telengana I see lot of close match from Reddy Velamas Kamma population. There is a Velamas research set that has good quality samples which is used in MDLP etc...It might be old Rastrakuta cluster

tipirneni
11-21-2017, 03:56 PM
Cool. My family's from Adilabad and Nizamabad..

There are some tamil Chola matches and Malayali Nair matches showing up in GED. There is a Singapore tamil sample that shows up in studies. The Nair match right be from Satavahana period in 250BC.

kush
11-21-2017, 06:03 PM
There are some tamil Chola matches and Malayali Nair matches showing up in GED. There is a Singapore tamil sample that shows up in studies. The Nair match right be from Satavahana period in 250BC.

yes velemas are used as samples for many different calculators on gedmatch. Also which calculator showed you nair and chola matches? I don't recall any for me. Singapore tamil shows up in my oracles for harappa, and nair in the top 15 on harappa but its not really that close for me though.

kush
11-21-2017, 06:12 PM
Yeah its interesting that you brought up the rastrakuta cluster. Apparently all the middle castes among the kannadigas, telugus, and marathas to an extent all were part of this cluster in the deccan region who have northern origins from UP or even northwestern India.

tipirneni
11-21-2017, 07:39 PM
yes velemas are used as samples for many different calculators on gedmatch. Also which calculator showed you nair and chola matches? I don't recall any for me. Singapore tamil shows up in my oracles for harappa, and nair in the top 15 on harappa but its not really that close for me though.

Using harappa. there is some bias in kerala-nair set it is not showing in clusters whereas I see some nair names in individual matches but only kerala-muslim that has some khoja matches and kerala-christian groups showup. I see atleast 4 tamil clusters in this group that match. Whereas the top clusters are velama 2 groups, karnataka, reddy. I remember in 1 of the calculator DODCADk12b I saw tamil show up at the top. The Harappa calculator doesnt seem to have gujarati, pakistani lahore pjl etc that show at the top in DODCAD/MDLP


1 S-Indian 55.23
2 Baloch 35.60
3 Caucasian 5.61
4 Siberian 1.25

1 velama_reich @ 2.361711
2 velama_metspalu @ 3.256444
3 karnataka_harappa @ 3.396714
4 ap-reddy_harappa @ 3.816778
5 meghawal_metspalu @ 4.503854
6 kurmi_metspalu @ 4.700223
7 andhra-pradesh_harappa @ 4.789183
8 tamil_harappa @ 5.180065
9 tamil-vellalar_harappa @ 5.644478
10 tharu_metspalu @ 5.741265
11 ap-hyderabad_harappa @ 5.790177
12 lambadi_metspalu @ 5.984758
13 sinhalese_harappa @ 5.994722
14 tamil-nadu-scheduled-caste_metspalu @ 6.404308
15 singapore-indian-b_sgvp @ 6.677641
16 sourastrian_harappa @ 6.920510
17 up-muslim_metspalu @ 7.189554
18 kerala-muslim_harappa @ 7.502958
19 tamil-nadar_harappa @ 7.610372
20 kerala-christian_harappa @ 7.677363

tipirneni
11-21-2017, 07:47 PM
Yeah its interesting that you brought up the rastrakuta cluster. Apparently all the middle castes among the kannadigas, telugus, and marathas to an extent all were part of this cluster in the deccan region who have northern origins from UP or even northwestern India.

There is no maratha group but I see many studies that use maratha population there is highly similar yDNA/mtDNA spread to Andhra groups. similarly kannadiga only kurubas set it there and it has some bias towards ASI. There is a north kannadiga that sometimes show up in population. similar to maratha there are not many Kshtriya groups in the research sets so they are not showing up. However I see a big pakistani population like PJL show up at the top in some results. GujaratiA B seem to have a bias for WHG population. C and D match for EHG population.

tipirneni
11-21-2017, 07:56 PM
yes velemas are used as samples for many different calculators on gedmatch. Also which calculator showed you nair and chola matches? I don't recall any for me. Singapore tamil shows up in my oracles for harappa, and nair in the top 15 on harappa but its not really that close for me though.

see the puntDNAL k12 modern that shows different results. Looks like it is picking some Muslim matchs with higher bias
puntDNAL K12 Modern Oracle

Kit TXXXXXX

Admix Results (sorted):

# Population Percent
1 South_Asian 62.51
2 Caucasus_HG 29.12
3 Siberian 4.36
4 East_Asian 1.45
5 Oceanian 1.36
6 European_HG 0.49
7 South_African_HG 0.43
8 Amerindian 0.24
9 Anatolian_NF 0.04

Single Population Sharing:

# Population (source) Distance
1 Tamil_Nadu 5.17
2 Keralam 5.26
3 Gujarati 10.16
4 Bengali_Muslim 14.34
5 UP_Muslim 18.89
6 Hakkipikki 19.25
7 Kashmir 22.91
8 Sindhi 23.46
9 Punjabi_Jatt_Muslim 23.52
10 Punjabi_Jatt_Sikh 28.55
11 Haryana_Jatt 28.56

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 75.8% Tamil_Nadu + 24.2% Gujarati @ 4.24
2 91.1% Tamil_Nadu + 8.9% Pathan @ 4.31
3 93.5% Tamil_Nadu + 6.5% Brahui @ 4.34
4 93.6% Tamil_Nadu + 6.4% Balochi @ 4.36
5 68.2% Hakkipikki + 31.8% Brahui @ 4.38
6 89.4% Tamil_Nadu + 10.6% Sindhi @ 4.38
7 92.7% Tamil_Nadu + 7.3% Pakistan_Pashtun @ 4.41
8 91.4% Tamil_Nadu + 8.6% Haryana_Jatt @ 4.43
9 87.5% Tamil_Nadu + 12.5% UP_Muslim @ 4.45
10 91.7% Tamil_Nadu + 8.3% Burusho @ 4.46
11 94.3% Tamil_Nadu + 5.7% Makrani @ 4.47
12 89.9% Tamil_Nadu + 10.1% Kashmir @ 4.5
13 95.1% Tamil_Nadu + 4.9% Tajik_Pomiri @ 4.52
14 94.3% Tamil_Nadu + 5.7% Afghan_Pashtun @ 4.52
15 97.7% Tamil_Nadu + 2.3% Nganasan @ 4.53
16 96.2% Tamil_Nadu + 3.8% Lezgin @ 4.53
17 92% Tamil_Nadu + 8% Punjabi_Jatt_Sikh @ 4.54
18 90.4% Tamil_Nadu + 9.6% Punjabi_Jatt_Muslim @ 4.55
19 96.4% Tamil_Nadu + 3.6% Abkhasian @ 4.55
20 52.1% Tamil_Nadu + 47.9% Keralam @ 4.61

kush
11-21-2017, 08:05 PM
Using harappa. there is some bias in kerala-nair set it is not showing in clusters whereas I see some nair names in individual matches but only kerala-muslim that has some khoja matches and kerala-christian groups showup. I see atleast 4 tamil clusters in this group that match. Whereas the top clusters are velama 2 groups, karnataka, reddy. I remember in 1 of the calculator DODCADk12b I saw tamil show up at the top. The Harappa calculator doesnt seem to have gujarati, pakistani lahore pjl etc that show at the top in DODCAD/MDLP


1 S-Indian 55.23
2 Baloch 35.60
3 Caucasian 5.61
4 Siberian 1.25

1 velama_reich @ 2.361711
2 velama_metspalu @ 3.256444
3 karnataka_harappa @ 3.396714
4 ap-reddy_harappa @ 3.816778
5 meghawal_metspalu @ 4.503854
6 kurmi_metspalu @ 4.700223
7 andhra-pradesh_harappa @ 4.789183
8 tamil_harappa @ 5.180065
9 tamil-vellalar_harappa @ 5.644478
10 tharu_metspalu @ 5.741265
11 ap-hyderabad_harappa @ 5.790177
12 lambadi_metspalu @ 5.984758
13 sinhalese_harappa @ 5.994722
14 tamil-nadu-scheduled-caste_metspalu @ 6.404308
15 singapore-indian-b_sgvp @ 6.677641
16 sourastrian_harappa @ 6.920510
17 up-muslim_metspalu @ 7.189554
18 kerala-muslim_harappa @ 7.502958
19 tamil-nadar_harappa @ 7.610372
20 kerala-christian_harappa @ 7.677363

Nice your results are similar to mine. I get reddy at top and I am a reddy so its accurate regarding that.. Also gujarati samples are present on harappa. I think you have slightly lower baloch, thats why you didn't get proximity to gujarati samples in top 20 most likely. Here are my results

Admix Results (sorted):

# Population Percent
1 S-Indian 53.70
2 Baloch 37.19
3 Caucasian 4.32
4 NE-Asian 1.52
5 SE-Asian 1.20
6 SW-Asian 1.10


# Population (source) Distance
1 ap-reddy (harappa) 1.94
2 velama (metspalu) 2.97
3 karnataka (harappa) 3.42
4 velama (reich) 3.51
5 singapore-indian-b (sgvp) 4.91
6 andhra-pradesh (harappa) 4.97
7 gujarati-a (1000genomes) 5.19
8 tharu (metspalu) 5.36
9 tamil (harappa) 5.4
10 gujarati-patel (harappa) 6.01
11 ap-hyderabad (harappa) 6.07
12 gujarati-a (hapmap) 6.08
13 tamil-vellalar (harappa) 6.31
14 kerala-christian (harappa) 6.4
15 kerala-nair (harappa) 6.49
16 kerala-muslim (harappa) 6.5
17 sinhalese (harappa) 6.51
18 dharkar (metspalu) 6.53
19 up-muslim (metspalu) 6.67
20 rajasthani (harappa) 6.81

Yeah there aren't many mid caste samples from karnataka. Most of them are brahmins or low caste like north kannadi. I haven't seen any kuruba. Unless you were trying to say kurumba samples which are from tamilnadu though. I have yet to see middle caste kannada samples. Also another thing is south indians get very high iran nelothic. You have it sorta high at 39% on the neolithic 13 calculator. I think the original indus valley type people had this component without much steppe influence. Also I agree regarding the EHG and WHG based on the gujarati samples. I cluster with gujarati D on a lot of calculators. I think most south indian mid castes do.

tipirneni
11-21-2017, 08:27 PM
Nice your results are similar to mine. I get reddy at top and I am a reddy so its accurate regarding that.. Also gujarati samples are present on harappa. I think you have slightly lower baloch, thats why you didn't get proximity to gujarati samples in top 20 most likely. Here are my results

Admix Results (sorted):

# Population Percent
1 S-Indian 53.70
2 Baloch 37.19
3 Caucasian 4.32
4 NE-Asian 1.52
5 SE-Asian 1.20
6 SW-Asian 1.10


# Population (source) Distance
1 ap-reddy (harappa) 1.94
2 velama (metspalu) 2.97
3 karnataka (harappa) 3.42
4 velama (reich) 3.51
5 singapore-indian-b (sgvp) 4.91
6 andhra-pradesh (harappa) 4.97
7 gujarati-a (1000genomes) 5.19
8 tharu (metspalu) 5.36
9 tamil (harappa) 5.4
10 gujarati-patel (harappa) 6.01
11 ap-hyderabad (harappa) 6.07
12 gujarati-a (hapmap) 6.08
13 tamil-vellalar (harappa) 6.31
14 kerala-christian (harappa) 6.4
15 kerala-nair (harappa) 6.49
16 kerala-muslim (harappa) 6.5
17 sinhalese (harappa) 6.51
18 dharkar (metspalu) 6.53
19 up-muslim (metspalu) 6.67
20 rajasthani (harappa) 6.81

Yeah there aren't many mid caste samples from karnataka. Most of them are brahmins or low caste like north kannadi. I haven't seen any kuruba. Unless you were trying to say kurumba samples which are from tamilnadu though. I have yet to see middle caste kannada samples. Also another thing is south indians get very high iran nelothic. You have it sorta high at 39% on the neolithic 13 calculator. I think the original indus valley type people had this component without much steppe influence. Also I agree regarding the EHG and WHG based on the gujarati samples. I cluster with gujarati D on a lot of calculators. I think most south indian mid castes do.

yeah. I see Kurmi, Meghwal, Sourashtra, Lambadi, Goan in 4, rajasthani in 4 show up first time among other calculators. There is some thing separate in the nearness function in this calculator that throws it off in different directions compared to others.

kush
11-21-2017, 08:35 PM
yeah. I see Kurmi, Meghwal, Sourashtra, Lambadi, Goan in 4, rajasthani in 4 show up first time among other calculators. There is some thing separate in the nearness function in this calculator that throws it off in different directions compared to others.

Oh i think you're talking about the oracle-4. I posted just the regular oracle previously. Here are the oracle-4 results. I also get the kurmi, meghawal, lambadi, goan.

Using 1 population approximation:
1 ap-reddy_harappa @ 2.014750
2 velama_metspalu @ 3.245843
3 kurmi_metspalu @ 3.484518
4 karnataka_harappa @ 3.667570
5 velama_reich @ 3.814868
6 meghawal_metspalu @ 4.463101
7 singapore-indian-b_sgvp @ 5.397398
8 andhra-pradesh_harappa @ 5.412567
9 lambadi_metspalu @ 5.428052
10 gujarati-a_1000genomes @ 5.718482
11 tamil_harappa @ 5.854137
12 tharu_metspalu @ 5.870949
13 gujarati-patel_harappa @ 6.630609
14 ap-hyderabad_harappa @ 6.667265
15 gujarati-a_hapmap @ 6.713732
16 tamil-vellalar_harappa @ 6.920653
17 kerala-christian_harappa @ 6.986502
18 kerala-muslim_harappa @ 7.042136
19 sinhalese_harappa @ 7.124987
20 kerala-nair_harappa @ 7.134415

Using 2 populations approximation:
1 50% ap-reddy_harappa +50% ap-reddy_harappa @ 2.014750


Using 3 populations approximation:
1 50% ap-reddy_harappa +25% goan_harappa +25% velama_metspalu @ 1.825155


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++
1 ap-reddy_harappa + goan_harappa + velama_metspalu + velama_metspalu @ 1.611221
2 ap-reddy_harappa + kerala-nair_harappa + velama_metspalu + velama_metspalu @ 1.688510
3 ap-reddy_harappa + goan_harappa + velama_metspalu + velama_reich @ 1.692164
4 ap-reddy_harappa + kerala-nair_harappa + velama_metspalu + velama_reich @ 1.694278
5 gujarati-patel_harappa + kerala_harappa + velama_metspalu + velama_metspalu @ 1.728266
6 ap-reddy_harappa + brahmin-tamil-nadu_metspalu + velama_metspalu + velama_metspalu @ 1.752395
7 gujarati-patel_harappa + kerala_harappa + velama_metspalu + velama_reich @ 1.758659
8 kerala-nair_harappa + velama_metspalu + velama_metspalu + velama_metspalu @ 1.778924
9 gujarati-a_1000genomes + kerala-christian_harappa + velama_metspalu + velama_metspalu @ 1.779181
10 goan_harappa + velama_metspalu + velama_metspalu + velama_metspalu @ 1.794703
11 brahmin-tamil-nadu_metspalu + velama_metspalu + velama_metspalu + velama_metspalu @ 1.795864
12 gujarati-a_1000genomes + kerala-christian_harappa + velama_metspalu + velama_reich @ 1.796538
13 ap-reddy_harappa + kerala-nair_harappa + velama_reich + velama_reich @ 1.796729
14 ap-reddy_harappa + brahmin-tamil-nadu_metspalu + velama_metspalu + velama_reich @ 1.815326
15 ap-reddy_harappa + gujarati-patel_harappa + kerala-christian_harappa + velama_reich @ 1.817720
16 ap-reddy_harappa + ap-reddy_harappa + goan_harappa + velama_metspalu @ 1.825155
17 gujarati-a_1000genomes + kerala_harappa + velama_metspalu + velama_metspalu @ 1.826861
18 gujarati-a_hapmap + kerala_harappa + velama_metspalu + velama_metspalu @ 1.828364
19 gujarati-patel_harappa + kerala-christian_harappa + velama_metspalu + velama_reich @ 1.830156
20 kerala-nair_harappa + velama_metspalu + velama_metspalu + velama_reich @ 1.830644

tipirneni
11-21-2017, 08:47 PM
Oh i think you're talking about the oracle-4. I posted just the regular oracle previously. Here are the oracle-4 results. I also get the kurmi, meghawal, lambadi, goan.

Using 1 population approximation:
1 ap-reddy_harappa @ 2.014750
2 velama_metspalu @ 3.245843
3 kurmi_metspalu @ 3.484518
4 karnataka_harappa @ 3.667570
5 velama_reich @ 3.814868
6 meghawal_metspalu @ 4.463101
7 singapore-indian-b_sgvp @ 5.397398
8 andhra-pradesh_harappa @ 5.412567
9 lambadi_metspalu @ 5.428052
10 gujarati-a_1000genomes @ 5.718482
11 tamil_harappa @ 5.854137
12 tharu_metspalu @ 5.870949
13 gujarati-patel_harappa @ 6.630609
14 ap-hyderabad_harappa @ 6.667265
15 gujarati-a_hapmap @ 6.713732
16 tamil-vellalar_harappa @ 6.920653
17 kerala-christian_harappa @ 6.986502
18 kerala-muslim_harappa @ 7.042136
19 sinhalese_harappa @ 7.124987
20 kerala-nair_harappa @ 7.134415

Using 2 populations approximation:
1 50% ap-reddy_harappa +50% ap-reddy_harappa @ 2.014750


Using 3 populations approximation:
1 50% ap-reddy_harappa +25% goan_harappa +25% velama_metspalu @ 1.825155


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++
1 ap-reddy_harappa + goan_harappa + velama_metspalu + velama_metspalu @ 1.611221
2 ap-reddy_harappa + kerala-nair_harappa + velama_metspalu + velama_metspalu @ 1.688510
3 ap-reddy_harappa + goan_harappa + velama_metspalu + velama_reich @ 1.692164
4 ap-reddy_harappa + kerala-nair_harappa + velama_metspalu + velama_reich @ 1.694278
5 gujarati-patel_harappa + kerala_harappa + velama_metspalu + velama_metspalu @ 1.728266
6 ap-reddy_harappa + brahmin-tamil-nadu_metspalu + velama_metspalu + velama_metspalu @ 1.752395
7 gujarati-patel_harappa + kerala_harappa + velama_metspalu + velama_reich @ 1.758659
8 kerala-nair_harappa + velama_metspalu + velama_metspalu + velama_metspalu @ 1.778924
9 gujarati-a_1000genomes + kerala-christian_harappa + velama_metspalu + velama_metspalu @ 1.779181
10 goan_harappa + velama_metspalu + velama_metspalu + velama_metspalu @ 1.794703
11 brahmin-tamil-nadu_metspalu + velama_metspalu + velama_metspalu + velama_metspalu @ 1.795864
12 gujarati-a_1000genomes + kerala-christian_harappa + velama_metspalu + velama_reich @ 1.796538
13 ap-reddy_harappa + kerala-nair_harappa + velama_reich + velama_reich @ 1.796729
14 ap-reddy_harappa + brahmin-tamil-nadu_metspalu + velama_metspalu + velama_reich @ 1.815326
15 ap-reddy_harappa + gujarati-patel_harappa + kerala-christian_harappa + velama_reich @ 1.817720
16 ap-reddy_harappa + ap-reddy_harappa + goan_harappa + velama_metspalu @ 1.825155
17 gujarati-a_1000genomes + kerala_harappa + velama_metspalu + velama_metspalu @ 1.826861
18 gujarati-a_hapmap + kerala_harappa + velama_metspalu + velama_metspalu @ 1.828364
19 gujarati-patel_harappa + kerala-christian_harappa + velama_metspalu + velama_reich @ 1.830156
20 kerala-nair_harappa + velama_metspalu + velama_metspalu + velama_reich @ 1.830644

This is regular oracle I am posting it has Lodi come up in the list and a bunch of caucasian turk population show up in the mixed mode. Since Kamma/Velama split of from Reddy and Velama from Kamma later this makes sense. None of them have Kamma population in the study. on GED i see a cluster of Kamma population on the top.

Admix Results (sorted):

# Population Percent
1 S-Indian 55.23
2 Baloch 35.6
3 Caucasian 5.61
4 Siberian 1.25
5 NE-Asian 0.99
6 Papuan 0.61
7 American 0.48
8 SE-Asian 0.16
9 SW-Asian 0.07

Single Population Sharing:

# Population (source) Distance
1 velama (reich) 2.15
2 velama (metspalu) 2.97
3 karnataka (harappa) 3.16
4 ap-reddy (harappa) 3.5
5 andhra-pradesh (harappa) 4.4
6 tamil (harappa) 4.76
7 tamil-vellalar (harappa) 5.14
8 tharu (metspalu) 5.23
9 ap-hyderabad (harappa) 5.28
10 sinhalese (harappa) 5.48
11 tamil-nadu-scheduled-caste (metspalu) 5.86
12 singapore-indian-b (sgvp) 6.07
13 up-muslim (metspalu) 6.54
14 kerala-muslim (harappa) 6.91
15 tamil-nadar (harappa) 6.95
16 kurumba (metspalu) 6.96
17 dharkar (metspalu) 7.01
18 kerala-christian (harappa) 7.01
19 gujarati-a (1000genomes) 7.09
20 lodi (reich) 7.15

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.4% velama (reich) + 2.6% north-ossetian (yunusbayev) @ 1.08
2 97.4% velama (reich) + 2.6% balkar (yunusbayev) @ 1.1
3 97.7% velama (reich) + 2.3% georgian (behar) @ 1.12
4 97.5% velama (reich) + 2.5% adygei (hgdp) @ 1.12
5 97.2% velama (reich) + 2.8% nogai (yunusbayev) @ 1.13
6 97.3% velama (reich) + 2.7% kumyk (yunusbayev) @ 1.15
7 97.4% velama (reich) + 2.6% chechen (yunusbayev) @ 1.19
8 96.7% velama (reich) + 3.3% turkmen (yunusbayev) @ 1.2
9 97.3% velama (reich) + 2.7% lezgin (behar) @ 1.22
10 97.3% velama (reich) + 2.7% azeri (harappa) @ 1.24
11 97.3% velama (reich) + 2.7% stalskoe (xing) @ 1.26
12 97.6% velama (reich) + 2.4% armenian (behar) @ 1.26
13 97.4% velama (reich) + 2.6% turk (behar) @ 1.26
14 97.4% velama (reich) + 2.6% turk-istanbul (hodoglugil) @ 1.26
15 97.4% velama (reich) + 2.6% urkarah (xing) @ 1.28
16 97.4% velama (reich) + 2.6% turk-kayseri (hodoglugil) @ 1.28
17 97.1% velama (reich) + 2.9% iranian (harappa) @ 1.29
18 97.3% velama (reich) + 2.7% turkish (harappa) @ 1.3
19 97.1% velama (reich) + 2.9% uzbek (behar) @ 1.3
20 97.3% velama (reich) + 2.7% kurd (yunusbayev) @ 1.31

bmoney
11-21-2017, 11:09 PM
i was getting hits on BR2 RISE19899

What is BR2 RISE?

poi
11-21-2017, 11:54 PM
i was getting hits on BR2 RISE19899

I apologize if this is obvious, but which calc did you use to build that pie chart?

bmoney
11-22-2017, 02:01 AM
There is no maratha group but I see many studies that use maratha population there is highly similar yDNA/mtDNA spread to Andhra groups. similarly kannadiga only kurubas set it there and it has some bias towards ASI. There is a north kannadiga that sometimes show up in population. similar to maratha there are not many Kshtriya groups in the research sets so they are not showing up. However I see a big pakistani population like PJL show up at the top in some results. GujaratiA B seem to have a bias for WHG population. C and D match for EHG population.

My closest match is Maharastrian (assuming Maratha Kshatriya) - L1a outside the Indus/Punjab/Jats also peaks in Maharashtra and a Karnatakan scheduled caste

Admix Results (sorted):

# Population Percent
1 S-Indian 45.96
2 Baloch 36.46
3 Caucasian 5.85
4 NE-Euro 5.67
5 NE-Asian 1.49
6 Mediterranean 1.48
7 Papuan 1.02


Finished reading population data. 377 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 maharashtrian_harappa @ 2.139772
2 brahmin-tamil-nadu_metspalu @ 2.527093
3 karnataka-brahmin_harappa @ 2.574678
4 meghawal_reich @ 2.776150
5 tn-brahmin_xing @ 2.816593
6 iyer-brahmin_harappa @ 2.870604
7 gujarati_harappa @ 2.899989
8 iyengar-brahmin_harappa @ 3.511967
9 rajasthani_harappa @ 3.755486

tipirneni
11-22-2017, 02:04 AM
I apologize if this is obvious, but which calc did you use to build that pie chart?

It was some program that calculates nearness match to all old Neolithic dna and put it in the pie chart. I had it on my computer.

bmoney
11-22-2017, 02:12 AM
I have yet to see middle caste kannada samples.

I wish we could see Lingayats, Bunts and Coorgis - agreed much more analysis is required on middle-castes who are genetically distinct and form a sizable % of the population

tipirneni
11-22-2017, 02:25 AM
What is BR2 RISE?
You will see explanation for each population. Br2 is bronze age Hungary. Rise is Baltic and Russia samples
http://www.y-str.org/p/ancient-dna.html?m=1

poi
11-22-2017, 04:05 AM
It was some program that calculates nearness match to all old Neolithic dna and put it in the pie chart. I had it on my computer.

Is it possible to run mine in that calculator?:biggrin1:

tipirneni
11-22-2017, 04:19 AM
Is it possible to run mine in that calculator?:biggrin1:

yes. I used ftdna file normalised by a program and then used to show pie chart.

bmoney
11-22-2017, 04:22 AM
Is it possible to run mine in that calculator?:biggrin1:

me too bloody hell stuck with mac os x it needs .net

poi
11-22-2017, 04:24 AM
me too bloody hell stuck with mac os x it needs .net

You can run windows VM.

Magnetic
11-22-2017, 04:38 AM
edit: oops I thought that this is a thread where everybody posts his/her results but it seems it is about south asian members . I just noticed it is in the Hindi forum section lol

so pardon me .I didnt want to derail your thread..but anyway here my results since I posted them already . the lonely/only west asian in the thread :( hehe :)


# Population Percent

1 Natufian 48.22
2 Ancestral_North_Eurasian 29.52
3 West_European_Hunter_Gartherer 14.16
4 East_Asian 5.4
5 Ancestral_South_Eurasian 2.09
6 Sub_Saharan 0.62

Single Population Sharing:

# Population (source) Distance

1 Azeri 2.95
2 Adygei 5.05
3 Turkish 6.2
4 Balkar 6.58
5 Kumyk 6.72
6 Iranian 6.94
7 Chechen 6.99
8 Georgian 7.45
9 Iran_N_WC1 7.68
10 Iran_recent 7.86
11 Kurd_C 8.58
12 Lezgin 8.71
13 Assyrian 8.86
14 Armenia_ChL 9.44
15 Jew_Iranian 9.77
16 Jew_iraqi 9.96
17 Kurd_F 10.28
18 Syrian 10.52
19 Druze 10.85
20 Iranian_Mazandarani 10.96

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance

1 60.3% Balkar + 39.7% Jew_iraqi @ 0.68
2 59.8% Balkar + 40.2% Jew_Iranian @ 0.8
3 57.5% Balkar + 42.5% Assyrian @ 0.9
4 62.6% Turkish + 37.4% Kurd_F @ 0.95
5 86.7% Azeri + 13.3% Italian_South @ 1.02
6 77.5% Azeri + 22.5% Armenia_ChL @ 1.13
7 65.1% Turkish + 34.9% Iran_ChL @ 1.16
8 87.7% Azeri + 12.3% Sicilian @ 1.27
9 67.7% Turkish + 32.3% Iran_LN @ 1.3
10 88.6% Azeri + 11.4% Greek @ 1.34
11 87.2% Azeri + 12.8% Jew_Ashkenazi @ 1.34
12 83% Azeri + 17% Cypriot @ 1.37
13 86.1% Azeri + 13.9% Jew_Moroccan @ 1.37
14 89.6% Azeri + 10.4% Albanian @ 1.39
15 70.1% Turkish + 29.9% Iranian_Lori @ 1.43
16 93.5% Azeri + 6.5% Sardinian @ 1.48
17 94.3% Azeri + 5.7% Europe_EN @ 1.51
18 93.9% Azeri + 6.1% Anatolia_N @ 1.56
19 87.6% Azeri + 12.4% Jew_Libyan @ 1.63
20 86.8% Azeri + 13.2% Jew_Tunisian @ 1.64


Using 2 populations approximation:
1 50% Assyrian +50% Balkar @ 1.465402


Using 3 populations approximation:
1 50% Azeri +25% Georgian +25% Turkish @ 0.653373


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++

1 Azeri + Azeri + Georgian + Turkish @ 0.653373
2 Adygei + Azeri + Balkar + Jew_iraqi @ 0.783321
3 Azeri + Kurd_F + Turkish + Turkish @ 0.812707
4 Azeri + Balkar + Balkar + Jew_iraqi @ 0.942017
5 Adygei + Azeri + Balkar + Jew_Iranian @ 0.961658
6 Assyrian + Azeri + Balkar + Turkish @ 1.021230
7 Azeri + Balkar + Georgian + Turkish @ 1.028565
8 Azeri + Balkar + Balkar + Jew_Iranian @ 1.032016
9 Azeri + Azeri + Balkar + Druze @ 1.042454
10 Balkar + Balkar + Druze + Kurd_F @ 1.070994
11 Balkar + Georgian + Iranian + Turkish @ 1.099514
12 Assyrian + Balkar + Iranian + Turkish @ 1.102641
13 Azeri + Balkar + Jew_iraqi + Turkish @ 1.119382
14 Adygei + Assyrian + Azeri + Balkar @ 1.125531
15 Balkar + Balkar + Cypriot + Iran_LN @ 1.135382
16 Armenia_ChL + Azeri + Azeri + Azeri @ 1.136495
17 Azeri + Balkar + Jew_iraqi + Kumyk @ 1.149884
18 Azeri + Balkar + Jew_Iranian + Turkish @ 1.190641
19 Assyrian + Azeri + Azeri + Balkar @ 1.191951
20 Adygei + Assyrian + Azeri + Turkish @ 1.217662

kush
11-22-2017, 06:19 AM
My closest match is Maharastrian (assuming Maratha Kshatriya) - L1a outside the Indus/Punjab/Jats also peaks in Maharashtra and a Karnatakan scheduled caste

Admix Results (sorted):

# Population Percent
1 S-Indian 45.96
2 Baloch 36.46
3 Caucasian 5.85
4 NE-Euro 5.67
5 NE-Asian 1.49
6 Mediterranean 1.48
7 Papuan 1.02


Finished reading population data. 377 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 maharashtrian_harappa @ 2.139772
2 brahmin-tamil-nadu_metspalu @ 2.527093
3 karnataka-brahmin_harappa @ 2.574678
4 meghawal_reich @ 2.776150
5 tn-brahmin_xing @ 2.816593
6 iyer-brahmin_harappa @ 2.870604
7 gujarati_harappa @ 2.899989
8 iyengar-brahmin_harappa @ 3.511967
9 rajasthani_harappa @ 3.755486

Wow I just realized you have relatively low south indian and you don't get nair in your top 10 populations on harappa. Thats very interesting that you cluster with brahmins before nairs. And that maharashtra sample is a brahmin one. I saw regarding that somewhere. They just forgot to label it specifically as brahmin. Also yes they should definitely have coorgi, or bunt samples from coastal karnataka. Many actresses come from there and I'm really curious what their typical genetic makeup would be. Maybe they would be similar to Varun since he does have relatively high euro for a south indian, and I think some of his family comes from that coastal karnataka region. I might be wrong though..

@tipirneni can you post the link of that particular calculator or the name of it? Thanks

bmoney
11-22-2017, 12:48 PM
Wow I just realized you have relatively low south indian and you don't get nair in your top 10 populations on harappa. Thats very interesting that you cluster with brahmins before nairs. And that maharashtra sample is a brahmin one. I saw regarding that somewhere. They just forgot to label it specifically as brahmin. Also yes they should definitely have coorgi, or bunt samples from coastal karnataka. Many actresses come from there and I'm really curious what their typical genetic makeup would be. Maybe they would be similar to Varun since he does have relatively high euro for a south indian, and I think some of his family comes from that coastal karnataka region. I might be wrong though..

@tipirneni can you post the link of that particular calculator or the name of it? Thanks

Thanks for clarifying, would be interested to know which Marathi Brahmin caste.

The bolded part confirms to me that Nair in Kerala is just a title, there is variations in the meaning wherever you go in Malayalam speaking areas though there is similarity in some traditions.

Nair samples in harappa would probably be from central and south Kerala. Nairs from where I'm from have never mixed with Nairs from central and south Kerala in our entire known history due to living in separate kingdoms until very recently so would expect genetic differences

Yeah i think Varun said part of his family is from coastal Karnataka - Mangalore is the main city of the Bunts where Aishwarya Rai Rohit Shetty Sunil Shetty etc are originally from Pooja Hegde is an up and coming Bunt actress in Bollywood, quite good looking IMO

A lot of my Kerala located relatives studied or grew up there so have a close connection to that place

BMG
11-22-2017, 04:55 PM
Thanks for clarifying, would be interested to know which Marathi Brahmin caste.

The bolded part confirms to me that Nair in Kerala is just a title, there is variations in the meaning wherever you go in Malayalam speaking areas though there is similarity in some traditions.

Nair samples in harappa would probably be from central and south Kerala. Nairs from where I'm from have never mixed with Nairs from central and south Kerala in our entire known history due to living in separate kingdoms until very recently so would expect genetic differences

Yeah i think Varun said part of his family is from coastal Karnataka - Mangalore is the main city of the Bunts where Aishwarya Rai Rohit Shetty Sunil Shetty etc are originally from Pooja Hegde is an up and coming Bunt actress in Bollywood, quite good looking IMO

A lot of my Kerala located relatives studied or grew up there so have a close connection to that place
2/4 of Nair's in Harappa were from north Kerala .One of them was a kiriyath Nair who had L1 ydna. Another one was from payyannur .

tipirneni
11-22-2017, 07:30 PM
Thanks for clarifying, would be interested to know which Marathi Brahmin caste.

The bolded part confirms to me that Nair in Kerala is just a title, there is variations in the meaning wherever you go in Malayalam speaking areas though there is similarity in some traditions.

Nair samples in harappa would probably be from central and south Kerala. Nairs from where I'm from have never mixed with Nairs from central and south Kerala in our entire known history due to living in separate kingdoms until very recently so would expect genetic differences

Yeah i think Varun said part of his family is from coastal Karnataka - Mangalore is the main city of the Bunts where Aishwarya Rai Rohit Shetty Sunil Shetty etc are originally from Pooja Hegde is an up and coming Bunt actress in Bollywood, quite good looking IMO

A lot of my Kerala located relatives studied or grew up there so have a close connection to that place
there is menon that has some match to my sample that is having following distribution
Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 42.83
2 IRAN_NEOLITHIC 39.21
3 EHG 7.7
4 PAPUAN 3.21
5 SE_ASIAN 2.38
6 CHG_EEF 1.61
7 NATUFIAN 1.32
8 SHG_WHG 1.17
9 SUB_SAHARAN 0.45
10 POLAR 0.12

Single Population Sharing:

# Population (source) Distance
1 GujaratiB 5.72
2 Punjabi 6.53
3 GujaratiA 8.51
4 Sindhi 8.96
5 GujaratiC 9.8
6 GujaratiD 12.67
7 Burusho 12.67
8 Pathan 16.31
9 Bengali 16.35
10 Kurd_SE 17.15
11 Kalash 21.05
12 Balochi 21.15
13 Brahui 21.72
14 Makrani 24.6
15 Pashtun_Afghan 26.59
16 Iranian_Bandari 30.16
17 Tajik 34.67
18 Iranian_Shirazi 39.39
19 Iranian_Mazandarani 39.92
20 Iranian 40.35

tipirneni
11-22-2017, 08:15 PM
2/4 of Nair's in Harappa were from north Kerala .One of them was a kiriyath Nair who had L1 ydna. Another one was from payyannur .

I see no Samantan or Nambiar etc.. these samples might skew towards Kshatriyas, Punjab samples

tipirneni
11-22-2017, 08:35 PM
Wow I just realized you have relatively low south indian and you don't get nair in your top 10 populations on harappa. Thats very interesting that you cluster with brahmins before nairs. And that maharashtra sample is a brahmin one. I saw regarding that somewhere. They just forgot to label it specifically as brahmin. Also yes they should definitely have coorgi, or bunt samples from coastal karnataka. Many actresses come from there and I'm really curious what their typical genetic makeup would be. Maybe they would be similar to Varun since he does have relatively high euro for a south indian, and I think some of his family comes from that coastal karnataka region. I might be wrong though..

@tipirneni can you post the link of that particular calculator or the name of it? Thanks

Technically Deccan, Andhra/Karnataka had a lot of southern Yadavs from Iron Age Janapadas. After the late Iron Age Buddhist kingdoms, the Deccan again had resurgence of Bhoja-Chedi people who are ancesters of much of Deccan now. So if properly done the Ancestry calculators will be showing a real symmetry in results of Deccan, Andhra/Karnataka, Orissa, Chattisgarh, Parts of Gujarat, UP, Bihar etc... places.

bmoney
11-22-2017, 11:45 PM
2/4 of Nair's in Harappa were from north Kerala .One of them was a kiriyath Nair who had L1 ydna. Another one was from payyannur .

Thanks BMG, thats actually very very close lolll - hmm i wonder whats going on - maybe the Nairs are a mixed origin caste, do you have any theories?

bmoney
11-22-2017, 11:47 PM
there is menon that has some match to my sample that is having following distribution
Admix Results (sorted):

# Population Percent
1 ANCESTRAL_INDIAN 42.83
2 IRAN_NEOLITHIC 39.21
3 EHG 7.7
4 PAPUAN 3.21
5 SE_ASIAN 2.38
6 CHG_EEF 1.61
7 NATUFIAN 1.32
8 SHG_WHG 1.17
9 SUB_SAHARAN 0.45
10 POLAR 0.12

Single Population Sharing:

# Population (source) Distance
1 GujaratiB 5.72
2 Punjabi 6.53
3 GujaratiA 8.51
4 Sindhi 8.96
5 GujaratiC 9.8
6 GujaratiD 12.67
7 Burusho 12.67
8 Pathan 16.31
9 Bengali 16.35
10 Kurd_SE 17.15
11 Kalash 21.05
12 Balochi 21.15
13 Brahui 21.72
14 Makrani 24.6
15 Pashtun_Afghan 26.59
16 Iranian_Bandari 30.16
17 Tajik 34.67
18 Iranian_Shirazi 39.39
19 Iranian_Mazandarani 39.92
20 Iranian 40.35


Yeah the high Iran_N and those kind of ancestral Indian proportions seem to be the common theme

bmoney
11-22-2017, 11:49 PM
I see no Samantan or Nambiar etc.. these samples might skew towards Kshatriyas, Punjab samples

yeah im a Nambiar and Samantan - maybe it does - don't know if there are any Nambiar samples out there

bmoney
11-22-2017, 11:54 PM
Technically Deccan, Andhra/Karnataka had a lot of southern Yadavs from Iron Age Janapadas. After the late Iron Age Buddhist kingdoms, the Deccan again had resurgence of Bhoja-Chedi people who are ancesters of much of Deccan now. So if properly done the Ancestry calculators will be showing a real symmetry in results of Deccan, Andhra/Karnataka, Orissa, Chattisgarh, Parts of Gujarat, UP, Bihar etc... places.

Theres a Chattisgarh member on this forum Arlus - see if you match him significantly

tipirneni
11-23-2017, 12:11 AM
Theres a Chattisgarh member on this forum Arlus - see if you match him significantly
A lot of rulers in Andhra/Karnataka such as Chalukya, Kakatiya, Rashtrakutas migrated to North and are Kshatriya status now. Some have significant Saka mixture after moving up north others in Chattisgarh might have more ancient Andhaka-Vrishni mixture more.

Whereas in Andhra, kamma caste formed from diverse royal soldiers has some founder effect due to cross marriages in Nayak times. Due to this ancient lineage like Sakya, Pallava , Kamboja, Chola are spread out thin into Andhaka-Vrishni substrata. So autosomal nearness out of state will not be high compared to in-state.

BMG
11-23-2017, 01:55 AM
Thanks BMG, thats actually very very close lolll - hmm i wonder whats going on - maybe the Nairs are a mixed origin caste, do you have any theories?
You are not that different from the other Nair's . One of the Nair's was from South Kerala with Pillai surname . His Harappa is below
# Population Percent
1 S-Indian 47.46
2 Baloch 38.12
3 Caucasian 5.05
4 NE-Euro 4.68
5 NE-Asian 1.41
6 SW-Asian 1.34
7 Papuan 1.27
8 Beringian 0.58
9 Siberian 0.08
Menon

# Population Percent
1 S-Indian 45.44
2 Baloch 37.48
3 Caucasian 8.82
4 SW-Asian 2.81
5 Beringian 1.62
6 Papuan 1.48
7 NE-Euro 1.28
8 NE-Asian 0.7
9 American 0.36

Nair from palakkad
# Population Percent
1 S-Indian 46.32
2 Baloch 36.64
3 Caucasian 6.04
4 NE-Euro 4.04
5 SW-Asian 2.54
6 Papuan 1.81
7 Siberian 1.14
8 NE-Asian 0.77
9 SE-Asian 0.36
10 E-African 0.12
11 Beringian 0.09
12 W-African 0.09
13 American 0.04

bmoney
11-23-2017, 02:12 AM
You are not that different from the other Nair's . One of the Nair's was from South Kerala with Pillai surname . His Harappa is below

Thats very similar - so Im assuming all of them oracle cluster with Maharastrians like I do and do not have Nair in the top 10 - maybe Nair samples need to be subdivided.

What is your Harappa admix?

anthroin
11-23-2017, 02:33 AM
Technically Deccan, Andhra/Karnataka had a lot of southern Yadavs from Iron Age Janapadas. After the late Iron Age Buddhist kingdoms, the Deccan again had resurgence of Bhoja-Chedi people who are ancesters of much of Deccan now. So if properly done the Ancestry calculators will be showing a real symmetry in results of Deccan, Andhra/Karnataka, Orissa, Chattisgarh, Parts of Gujarat, UP, Bihar etc... places.

Hello first of all! What you wrote is quite interesting. What do you think about the Asmaka Janapada along the middle Godavari which is the most southern of the known Indo-Aryan territories of that time period? How does that one factor into the modern ancestries of the people of Deccan? Also, could you point me to any archaeological (if they exist) or historical type references which discuss this migration of the peoples from the Chedi Janapada and their later counterparts that you mention?

This is not directly connected and I have only been recently interested in these sorts of things, so my writing may seem very immature. I happened to go through the A Historical Atlas of South Asia (http://dsal.uchicago.edu/reference/schwartzberg/) just last week. I incidentally observed that one little territory in the Godavari-Krishna delta (roughly corresponding to the modern West Godavari and Krishna districts) called "Andhra" consistently shows up in nearly each and every map of ancient India since at least the pre-Janapadas and Janapadas time until Eastern Chalukyas or something (The term Andhra distinctly appears in those maps even during Satavahana periods and later). Do you know about this entity? It seems to have been a non-Indo-Aryan political entity nonetheless known to the Indo-Aryans, probably via the Asmaka. The Sanskritic name Andhra, the Middle Indo-Aryan name Andhaka, if taken to mean 'dark/black', also seem to have parallels in the name of the river that this Andhra territory hugs, the krishnavENi, 'black river'. (Some Telugu inscriptions from later seems also to have a recording of the Krishna as "nallabeNNa", meaning 'black Penna', Penna itself may likely refer to a river name word in some Dravidian languages from the root *pEN-'to twist, to twine', etc.). What has happened to this political unit? Were the Ikshvakus and Vishnukundinas, etc. successors of this entity? And were all the elites of this area genetically replaced by the later Eastern Chalukyas etc.?

anthroin
11-23-2017, 02:42 AM
A lot of rulers in Andhra/Karnataka such as Chalukya, Kakatiya, Rashtrakutas migrated to North and are Kshatriya status now. Some have significant Saka mixture after moving up north others in Chattisgarh might have more ancient Andhaka-Vrishni mixture more.

Whereas in Andhra, kamma caste formed from diverse royal soldiers has some founder effect due to cross marriages in Nayak times. Due to this ancient lineage like Sakya, Pallava , Kamboja, Chola are spread out thin into Andhaka-Vrishni substrata. So autosomal nearness out of state will not be high compared to in-state.

What does this Andhaka-Vrishni construct point to? Are these some of the Yadava Indo-Aryan tribes mentioned in the Vedic literature? Seems so and it also seems I was wrong in my previous post, about Andhra and Andhaka referring to the Krishna-Godavari delta region. Were there two Andhakas or did one Andhaka get transferred to the other and if so, which one into which? The Yadava Andhaka into the Krishna river Andhaka? Seems so.

gyanwali
11-23-2017, 02:58 AM
1 Ancestral_North_Eurasian 36.48
2 Natufian 25.11
3 Ancestral_South_Eurasian 19.06
4 East_Asian 13.71
5 West_European_Hunter_Gartherer 4.88

My results are sort of in line with yours and Poi, however there are differences.
My results:
Population
Ancestral_North_Eurasian 38.01
Ancestral_South_Eurasian 20.84
East_Asian 11.35
West_European_Hunter_Gartherer 6.55
Natufian 23.25
Sub_Saharan -

khanabadoshi
11-23-2017, 03:02 AM
So I just got my 1st cousins results. He is half like me (so .Jam) + half Multani-Pashtun [Tareen + Khakwani]; .25 Saraiki-Baloch + .25 Kashmiri + .50 Saraiki-Pashtun.
Looks like my aunt is pretty much unmixed Pashtun, despite being in Multan for a couple 100 years.

His ANE K6



Admix Results (sorted):



#
Population
Percent


1
Ancestral_North_Eurasian
38.50


2
Natufian
35.32


3
Ancestral_South_Eurasian
13.41


4
West_European_Hunter_Gartherer
7.44


5
East_Asian
5.32





Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Kalash @ 5.211834
2 Pashtun_Afghan @ 5.537938
3 Pathan @ 5.827788
4 Kurd_SE @ 7.036172
5 Balochi @ 8.790699
6 Brahui @ 9.331301
7 Makrani @ 9.936937
8 Sindhi @ 10.432288
9 Baloch_Iranian @ 10.930722
10 Punjabi @ 11.236041
11 GujaratiA @ 11.603705
12 Tajik @ 12.391218
13 Iran_N @ 13.491666
14 Burusho @ 13.881399
15 Iranian_Mazandarani @ 14.119045
16 Iranian_Shirazi @ 14.261497
17 Iran_recent @ 14.812936
18 Iran_N_WC1 @ 15.084225
19 Iranian_Lori @ 15.333114
20 GujaratiB @ 15.359903


HarappaWorld



Admix Results (sorted):



#
Population
Percent


1
Baloch
36.47


2
S-Indian
23.62


3
Caucasian
18.81


4
NE-Euro
12.77


5
SW-Asian
2.93


6
Mediterranean
1.64


7
Siberian
1.39





Finished reading population data. 377 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 pashtun_harappa @ 6.398946
2 pathan_hgdp @ 6.414320
3 punjabi-khatri_harappa @ 7.782747
4 sindhi_harappa @ 8.359447
5 kalash_hgdp @ 8.467050
6 kashmiri_harappa @ 9.351032
7 pushtikar-brahmin_harappa @ 10.422585
8 punjabi-jatt-sikh_harappa @ 10.505428
9 punjabi-jatt-muslim_harappa @ 11.244501
10 haryana-jatt_harappa @ 11.617874
11 bhatia_harappa @ 11.740979
12 burusho_hgdp @ 12.016340
13 kashmiri-pandit_reich @ 12.278661
14 punjabi_harappa @ 13.379190
15 gujarati-muslim_harappa @ 13.466469
16 rajasthani-brahmin_harappa @ 13.585860
17 punjabi-brahmin_harappa @ 14.190935
18 nepali_harappa @ 14.791782
19 singapore-indian-c_sgvp @ 14.954859
20 up-muslim_harappa @ 14.971716

Using 2 populations approximation:
1 50% pashtun_harappa +50% punjabi-khatri_harappa @ 3.400388


Using 3 populations approximation:
1 50% sindhi_harappa +25% stalskoe_xing +25% up-brahmin_harappa @ 1.623001


MDLP K16



Admix Results (sorted):



#
Population
Percent


1
Indian
44.31


2
Caucasian
28.26


3
Steppe
12.60


4
NorthEastEuropean
4.35


5
Neolithic
2.91


6
SouthEastAsian
2.81


7
NearEast
2.22


8
Arctic
1.13





Finished reading population data. 517 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Pashtun_Pakistan @ 5.387914
2 Pathan_Punjab @ 6.460798
3 Jatt_Haryana @ 6.910806
4 Kashmiri_Pandit_Kashmir @ 8.465719
5 Jatt_Pahari @ 9.156099
6 Jew_Mumbai @ 11.044401
7 Balochi_Baluchistan @ 11.877118
8 Gujjar_Punjab @ 12.127234
9 Brahui_Baluchistan @ 12.147038
10 Jatt_Muslim @ 12.403041
11 Pashtun_Afganistan @ 12.418101
12 Burusho_Pakistan @ 13.432060
13 Makrani_Pakistan @ 13.786906
14 Pashtun_Afghanistan @ 13.813322
15 Brahmin_India @ 14.486978
16 Jew_Cochin @ 16.747860
17 Ishkasim_Gorno-Badakhshan @ 16.982706
18 Meena_Rajasthan @ 17.321192
19 Sindhi_Sindh @ 17.441738
20 Kshatriya_India @ 18.060776

Using 2 populations approximation:
1 50% GujaratiC_Gujarat +50% Lezgin_Dagestan @ 3.623832


Using 3 populations approximation:
1 50% Pathan_Punjab +25% Tabasaran_Dagestan +25% Thakur_Maharashtra @ 2.807379


puntDNAL k13



Admix Results (sorted):




#
Population
Percent


1
West_Asia
39.31


2
South_Asia
29.48


3
NE_Europe
15.78


4
SW_Europe
6.64


5
SW_Asia
3.64


6
Siberia
1.94


7
Americas
1.20





Finished reading population data. 191 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Pakistan_Pashtun @ 5.772106
2 Pathan @ 7.034866
3 Sindhi @ 8.708392
4 Afghan_Pashtun @ 8.939245
5 Burusho @ 9.265704
6 Kashmir_Pandit @ 10.714872
7 Balochi @ 10.887013
8 Punjabi @ 10.892912
9 Makrani @ 12.360462
10 Brahui @ 12.494999
11 Tadjik @ 18.627098
12 Afghan_Uzbeki @ 24.001715
13 Tamil_Nadu_Brahmin @ 24.416656
14 Romani @ 26.101641
15 Bengali @ 27.715448
16 Iranian @ 28.324594
17 Dagestan_Azeri @ 30.191063
18 Kumyk @ 30.383497
19 Chechen @ 31.583946
20 Kurdish @ 31.853338

Using 2 populations approximation:
1 50% Afghan_Pashtun +50% Kashmir_Pandit @ 2.464692


Using 3 populations approximation:
1 50% Afghan_Pashtun +25% Afghan_Pashtun +25% Tamil_Nadu_Brahmin @ 2.309710

BMG
11-23-2017, 03:13 AM
Thats very similar - so Im assuming all of them oracle cluster with Maharastrians like I do and do not have Nair in the top 10 - maybe Nair samples need to be subdivided.

What is your Harappa admix?
Population Percent
1 S-Indian 49.1
2 Baloch 34.81
3 Caucasian 4.75
4 NE-Euro 3.56
5 SW-Asian 2.29
6 NE-Asian 1.32
7 Papuan 1.12
8 Siberian 1.05
9 SE-Asian 0.81
10 American 0.69
11 Beringian 0.51

tipirneni
11-23-2017, 03:53 AM
Hello first of all! What you wrote is quite interesting. What do you think about the Asmaka Janapada along the middle Godavari which is the most southern of the known Indo-Aryan territories of that time period? How does that one factor into the modern ancestries of the people of Deccan? Also, could you point me to any archaeological (if they exist) or historical type references which discuss this migration of the peoples from the Chedi Janapada and their later counterparts that you mention?

This is not directly connected and I have only been recently interested in these sorts of things, so my writing may seem very immature. I happened to go through the A Historical Atlas of South Asia (http://dsal.uchicago.edu/reference/schwartzberg/) just last week. I incidentally observed that one little territory in the Godavari-Krishna delta (roughly corresponding to the modern West Godavari and Krishna districts) called "Andhra" consistently shows up in nearly each and every map of ancient India since at least the pre-Janapadas and Janapadas time until Eastern Chalukyas or something (The term Andhra distinctly appears in those maps even during Satavahana periods and later). Do you know about this entity? It seems to have been a non-Indo-Aryan political entity nonetheless known to the Indo-Aryans, probably via the Asmaka. The Sanskritic name Andhra, the Middle Indo-Aryan name Andhaka, if taken to mean 'dark/black', also seem to have parallels in the name of the river that this Andhra territory hugs, the krishnavENi, 'black river'. (Some Telugu inscriptions from later seems also to have a recording of the Krishna as "nallabeNNa", meaning 'black Penna', Penna itself may likely refer to a river name word in some Dravidian languages from the root *pEN-'to twist, to twine', etc.). What has happened to this political unit? Were the Ikshvakus and Vishnukundinas, etc. successors of this entity? And were all the elites of this area genetically replaced by the later Eastern Chalukyas etc.?

The South Indian chiefs defeated North Indian chiefs numerous times before Medieval times. Southern Yadus defeated Ikhvakus/Kurus numerous times in Iron Age ruled most parts of Rajasthan/Decccan. Satavahanas occupied capitol of Maurya for some time and were rulers of whole India for some time. Pulakesi Chalukya defeated Harshavardhan from UP and caused major issues for Vardhanas later. Rashtrakuta kings like Indra Krishna defeated major kings in UP/Punjab/Bengal etc. Cholas defeated Palas and had most extensive maritime empire.

IRON AGE
Ancient Andhra people were part of Andhaka-Vrishni tribe in Mahabharata in early Iron Age. They fought on opposite sides with Kritaverma and Satyaki of Yadu people. They were described as degraded Aryan tribe.

In the Vayu Purana (88. 177-178) Asmaka and Mulaka appear as scions of the Ikshvaku family. This indicates that the Asmaka and Mulaka (or Alakas) kingdoms were believed to have been founded by Ikshvaku chiefs, just as Vidarbha and Dandaka were founded by princes of the Yadu (Bhoja) . during Buddha time late IRON AGE it was one Andhakarājā king of Assaka probably Yadu. The Telugu people who were South dravidian people mixed with these Andhra people during late Iron age.

Many of the temples of Andhraka-Vrishni people like Haihaya in deccan have place names such as Ellore, Elur etc... indicating Elam connection. There are Hurrian like names during Satavahana times. In Ancient calculators, I am getting Armenian_MBA hit in top 5 due to Hurrian element apart from Scythian_IA due to Sakya element.

However late Iron Age Videha, Kuru, Panchala, Trigarta, Asmaka, Sursena, were all annexed into Magadha by Mahapadma Nanda (345 - 329)BC and received the title of "Destroyer of Kshatriyas" when he founded the Nanda Dynasty. Later Ashoka was stationed in Vidisha in Deccan and subdued all the different tribes to form an Imperial force. So Andhra/Karnataka had numerous Ashoka edicts. The Andhrabrithyas in the Ashoka army ruled some time, they were like Telugu Ikshvakus, Pugiyas (puri), Chaliki (chalukya) TrilochanaPallava etc. These people ruled with Satavahanas and then later they formed their own dynasties in Andhra/Karnakataka/Madras area but they ruled using the Soldiers of original Andhra/Tamil/Karnataka people. The area that was ruled from initially during Satavahana was called Kamma rashtra so all the soldiers from that area became Kamma caste later. Due to influence of soldiers from Sakya country the capital were called Amaravati in Maharashtra and in Andhra. One of the chief's name is Kamma'ra(ja) whose ancester was from Madhyadesh in Nepal called Malla S/O Indra.

Maybe from prehistoric times they had admixture with people called Asuras from MiddleEast

PuntK12 Ancient

Admix Results (sorted):

# Population Percent
1 South_Asian 62.51
2 Caucasus_HG 29.12
3 Siberian 4.36
4 East_Asian 1.45
5 Oceanian 1.36
6 European_HG 0.49
7 South_African_HG 0.43
8 Amerindian 0.24
9 Anatolian_NF 0.04

Single Population Sharing:

# Population (source) Distance
1 Ust_Ishim_DG 42.32
2 Kostenki14_UP_SG 52.07
3 MA1_SG 54.27
4 Armenian_MBA 61.22
5 Scythian_IA_I0247 61.28
6 Yamnaya_Kalmykia_SG_RISE552 62.65
7 Poltavka_I0440 64.47
8 Yamnaya_Samara_I0231 65.42
9 Andronovo_SG_RISE505 67.43
10 Yamnaya_Samara_I0443 68
11 Afanasievo_SG_RISE511 68.3
12 Corded_Ware_Germany_I0104 68.9
13 Srubnaya_I0430 68.98
14 Corded_Ware_Germany_I0103 69.85
15 Potapovka_I0419 70.1
16 BattleAxe_Sweden_SG_RISE94 70.67
17 Sintashta_MBA_RISE395 70.84
18 Srubnaya_I0232 71.32

tipirneni
11-23-2017, 03:58 AM
What does this Andhaka-Vrishni construct point to? Are these some of the Yadava Indo-Aryan tribes mentioned in the Vedic literature? Seems so and it also seems I was wrong in my previous post, about Andhra and Andhaka referring to the Krishna-Godavari delta region. Were there two Andhakas or did one Andhaka get transferred to the other and if so, which one into which? The Yadava Andhaka into the Krishna river Andhaka? Seems so.

There is only 1 Andhaka in much earlier vedic literature. Andhras were mentioned as a tribe from Mahabharata and later in Vayu purana Matya purana etc... as ruling whole of India

sarmadmalik88
11-23-2017, 05:21 AM
According to 23and me , I'm Paternal J-M172 and Maternal U7

gedrosia K6 Oracle

Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 41.22
2 Natufian 31.43
3 Ancestral_South_Eurasian 17.77
4 East_Asian 6.03
5 West_European_Hunter_Gartherer 2.98


Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Pathan @ 2.858257
2 Sindhi @ 2.914664
3 Kalash @ 3.606635
4 Punjabi @ 3.807325
5 GujaratiA @ 4.659454
6 GujaratiB @ 7.987954
7 Kurd_SE @ 8.086006
8 Balochi @ 8.986337
9 Pashtun_Afghan @ 9.770659
10 Brahui @ 9.819518
11 Burusho @ 10.583986
12 Makrani @ 11.688630
13 GujaratiC @ 12.466700
14 Baloch_Iranian @ 13.825369
15 GujaratiD @ 14.947510
16 Punjabi_PJL @ 16.489298
17 Tajik @ 17.551134
18 CHG @ 17.873501
19 Iran_N @ 19.486168
20 Iranian_Mazandarani @ 20.514744

anthroin
11-23-2017, 08:06 AM
In the Vayu Purana (88. 177-178) Asmaka and Mulaka appear as scions of the Ikshvaku family. This indicates that the Asmaka and Mulaka (or Alakas) kingdoms were believed to have been founded by Ikshvaku chiefs, just as Vidarbha and Dandaka were founded by princes of the Yadu (Bhoja) . during Buddha time late IRON AGE it was one Andhakarājā king of Assaka probably Yadu. The Telugu people who were South dravidian people mixed with these Andhra people during late Iron age.



There is only 1 Andhaka in much earlier vedic literature. Andhras were mentioned as a tribe from Mahabharata and later in Vayu purana Matya purana etc... as ruling whole of India

Okay thank you very much! The Ikshvakus appear to be an eastern Indian Indo-Aryan dynasty and it might have been them or some people from the expected western Indo-Aryans who established the Assaka on the Godavari. The Andhaka thing is all problematic to me, at least at this stage, because in Buddhist literature it seems to have referred to exclusively the Krishna river valley region, such as like north Indian Buddhist literature referring to the Buddhist monks who went to north India from Nagarjunakonda and surrounds as Andhaka people. While the very same word is used in Sanskrit literature to refer to one of those central and western Indian Yadava tribes like Bhojas, Vrishnis, etc. And Andhra seems to be a different matter. That 700 BC Aitareya Brahmana reference of Vishvamitra's sons being cursed to "become" Andhra, Sabara, Pulinda, etc. tribes and live in the forests in fact is used as an anchor by Bhadriraju Krishnamurti to date the split of Tamil group and Telugu group within South Dravidian at around 11th century BC, in his 2003 magnum opus "The Dravidian Languages". His reasoning is that the other tribes mentioned like Sabara, Pulinda, etc. are known non-Indo-Aryan tribes like Savara (Munda), etc. So he takes these Andhras to be identically equal to the non-Indo-Aryan Pre-Telugu speakers and makes his argument. You think of these things differently than him, I see though. As expected, I am not completely sure who these Andhras of the Aitareya Brahmana were.

It might be the case that the terms Andhra and andhaka are not referring to the same things after all. Also, if the word had an Indo-Aryan origin, it has to have some sort of meaning as 'blindness', 'darkness'. I tried to see if the Caland system (https://en.wikipedia.org/wiki/Caland_system) is coming into play here (for our purpose, the Caland system pertains to the making of adjectives/verbs/nouns from adjectival roots in Indo-European languages by adding the *-ros suffix whose Sanskrit equivalent is *-ra. Examples would be Sanskrit krUra, 'bloody' from an old Proto-Indo-European root *krewh2-, 'blood' and *-ros, the adjectivising suffix). But it appears the Caland system is not playing any part here as the underlying root of the andha, 'blind', 'dark' type etymon in Sanskrit seems to be one Proto-Indo-European *andho, 'blind' according to this source (https://lrc.la.utexas.edu/lex/master/0082), which does not appear to take the -ra suffix of the Caland system to form anything like andhra. Sanskrit does seem to have a rare verbal root andh, meaning 'to make someone blind'; so treating this as a Caland root and suffixing -ra gives andhra, which may mean something like 'referring to something that was made blind'/'referring to something that was made dark'. In that sense, that means that the tribe in question were the tribe who were blinded after being defeated in war or the tribe who were "made dark"', as in 'forced to be without any education' or such things. While this is all a very roundabout and torturous derivation of the Sanskrit word andhra, 'the name of a tribe' and the vrddhi derivative Andhra, 'of a tribe named andhra', the other possibility of treating 7th century BC Sanskrit andhra/Andhra as a hyper-sanskritisation (adding that r in the end) of some andha type word from unattested-at-the-time non-Vedic Old Indo-Aryan such as some ancestor of Pali or something is also quite speculative and will likely remain that, for lack of evidence which may never become available from Old Indo-Aryan dialects of non-Vedic nature. But this alternative is better in that the original can at least be directly andha, 'blind', 'dark' or andhaka, id. as seen from the Pali forms (and I'm considering that andhaka and andhra may have referred to the same thing); the semantics involved also become much simpler- just 'blind people' as in 'without knowledge' or 'dark people', as in 'obscure people'/'those who live in uncivilised areas'/'those who live near the dark river (the Krishna)', etc.

While there is of course another possibility- if these terms andhra, Andhra, etc. referred to the non-Indo-Aryan Pre-Telugu speakers from the get go, that is- that these terms have an altogether non-Indo-Aryan source, neither Vedic or some other ancestral dialect of MIA, etc. Indologist Michael Witzel in one of his papers connected the term Andhra/andhra with the aspiration dh and the rhotic r with a Telugu word andam, 'beauty' deriving from the Proto-Dravidian *cant-am, 'beauty'. This particular etymology seemed quite unlikely to have been true to me personally (it feels odd though I could be thinking anachronistically) lol and also assuming this is true anyway, why this word would become some ancient Old Indo-Aryan *andha or *andhra, I don't know. Hyper-sanskritisation may be invoked, I guess.

The origins of the words andhra, Andhra, andhaka, andha, etc. in relation to that super-mysterious tribe seem to be quite problematic though. I don't know if anyone has already addressed this issue and resolved it to satisfaction.

tipirneni
11-23-2017, 09:10 AM
Okay thank you very much! The Ikshvakus appear to be an eastern Indian Indo-Aryan dynasty and it might have been them or some people from the expected western Indo-Aryans who established the Assaka on the Godavari. The Andhaka thing is all problematic to me, at least at this stage, because in Buddhist literature it seems to have referred to exclusively the Krishna river valley region, such as like north Indian Buddhist literature referring to the Buddhist monks who went to north India from Nagarjunakonda and surrounds as Andhaka people. While the very same word is used in Sanskrit literature to refer to one of those central and western Indian Yadava tribes like Bhojas, Vrishnis, etc. And Andhra seems to be a different matter. That 700 BC Aitareya Brahmana reference of Vishvamitra's sons being cursed to "become" Andhra, Sabara, Pulinda, etc. tribes and live in the forests in fact is used as an anchor by Bhadriraju Krishnamurti to date the split of Tamil group and Telugu group within South Dravidian at around 11th century BC, in his 2003 magnum opus "The Dravidian Languages". His reasoning is that the other tribes mentioned like Sabara, Pulinda, etc. are known non-Indo-Aryan tribes like Savara (Munda), etc. So he takes these Andhras to be identically equal to the non-Indo-Aryan Pre-Telugu speakers and makes his argument. You think of these things differently than him, I see though. As expected, I am not completely sure who these Andhras of the Aitareya Brahmana were.

It might be the case that the terms Andhra and andhaka are not referring to the same things after all. Also, if the word had an Indo-Aryan origin, it has to have some sort of meaning as 'blindness', 'darkness'. I tried to see if the Caland system (https://en.wikipedia.org/wiki/Caland_system) is coming into play here (for our purpose, the Caland system pertains to the making of adjectives/verbs/nouns from adjectival roots in Indo-European languages by adding the *-ros suffix whose Sanskrit equivalent is *-ra. Examples would be Sanskrit krUra, 'bloody' from an old Proto-Indo-European root *krewh2-, 'blood' and *-ros, the adjectivising suffix). But it appears the Caland system is not playing any part here as the underlying root of the andha, 'blind', 'dark' type etymon in Sanskrit seems to be one Proto-Indo-European *andho, 'blind' according to this source (https://lrc.la.utexas.edu/lex/master/0082), which does not appear to take the -ra suffix of the Caland system to form anything like andhra.
While there is of course another possibility- if these terms andhra, Andhra, etc. referred to the non-Indo-Aryan Pre-Telugu speakers from the get go, that is- that these terms have an altogether non-Indo-Aryan source, neither Vedic or some other ancestral dialect of MIA, etc. Indologist Michael Witzel in one of his papers connected the term Andhra/andhra with the aspiration dh and the rhot

The origins of the words andhra, Andhra, andhaka, andha, etc. in relation to that super-mysterious tribe seem to be quite problematic though. I don't know if anyone has already addressed this issue and resolved it to satisfaction.

Why should people again think about these when puranas clearly talk about Andhra ruling whole India and later AndhraBhratyas conquering whole of north india. There is lot of evidence during Buddhist age for mixup and genetic evidence

You are quoting very small authors who didn't see whole picture against writers of Vedic puranas/Buddhist Pali records that cover whole Hindu/Buddhist records. The words you are pointing from English/Sanskrit dictionaries are very insignificant against Historical records/artifacts & genetic records

anthroin
11-23-2017, 04:32 PM
Why should people again think about these when puranas clearly talk about Andhra ruling whole India and later AndhraBhratyas conquering whole of north india. There is lot of evidence during Buddhist age for mixup and genetic evidence

You are quoting very small authors who didn't see whole picture against writers of Vedic puranas/Buddhist Pali records that cover whole Hindu/Buddhist records. The words you are pointing from English/Sanskrit dictionaries are very insignificant against Historical records/artifacts & genetic records


The Puranas do talk about these Andhras and Andhrabhrityas but overwhelmingly in relation to the Satavahanas; the names of these kings from Puranic lists match the inscriptional records from Satavahanas. But the Satavahanas never called themselves Andhras and their rule also appears to have begun from the western Deccan. So if we want to consider that the Satavahanas who are a known Maharashtrian Indo-Aryan group were indeed identical to these somewhat-mythical Andhras, then we have to completely dissociate the Telugu involvement from this and posit that the Andhras were a degraded Indo-Aryan tribe as mentioned in the Aitareya Brahmana who wandered off into the deep, almost central Deccan, to establish the Assaka Janapada which gradually would play an important role in the emergence of the Satavahanas in the same general area after the Mauryas. This scenario is perfectly possible and even probable and this is what you seem to entertain. Which is perfectly fine with me. I only noted Bh. Krishnamurti's argument to just bring the other opinion also into the discussion (which also happens to be adhered to by a sizeable collection of scholars).

The above is not without problems- for example, why did the western Indo-Aryan writers of the Aryavarta represent the Vedic Mahajanapada on the Godavari as "Ashmaka", 'full of stones, etc.' (perhaps referring to the little hillocks in the region) when a more direct Andhra is applicable; perhaps they had a real aversion to this andhra/Andhra word and thought it not good to connect it with a Vedic Janapada. Also, why did they again transfer the name of Andhra to an entirely unknown non-Indo-Aryan territory in the southeast of Ashmaka?

The term Andhra is quite problematic in that we don't know what all its historical referents were. Now it overwhelmingly refers to the Telugu language and people and at least since Mahajanapada times seems to have referred to a fundamentally non-Indo-Aryan territory in the lower Krishna valley. There is also an Andhra Vishnu temple in Krishna district, perhaps a reflection of the remembrance of a ruler held dear from the hoary antiquity (no idea when it was built; it's likely that I'm completely wrong and that one just refers to the normal, expected 'God Vishnu for the Telugu people' and it may have been built later on- such as post-11th century, after Nannaya). Yet the Puranas refer to the Satavahanas of the western Deccan who are very likely Indo-Aryans, as Andhras and Andhrabhrityas. And I remember reading somewhere that Maharashtri Prakrit was referred to as Andhri, but I can't remember where I saw that. It is perfectly possible that the entire Maharashtri Prakrit equals Andhri is just one of my false memories.

Okay lots and lots of thanks for entertaining me so far. I will sincerely try not to bother you further regarding this topic.

Edit: The Ashmaka and the Satavahanas do not appear to be so much connected as the Satavahanas started mainly from the western Deccan proper, like Nashik, Paithan, etc. but this Ashmaka is at least closer in geographical location to the Satavahana original territory than to the Andhra territory if it refers to the lower Krishna valley region.

Edit2: It appears (http://historum.com/asian-history/76916-historical-terminology-telangana-telugu-andhra.html) that I took the maps from the Digital Libraries of South Asia project too much at face value. The Andhra shown in those maps from ancient times like Janapada period in the Krishna-Godavari delta region seems not warranted- the first explicit mention of Andhra as the geographical territory of the Krishna-Godavari delta was there apparently only in 4th century AD. All the earlier mentions of the name were used to describe a tribe or an ethnic group with strong suggestions that these groups were non-Indo-Aryan. Why the put these two together, I don't know.

parasar
11-23-2017, 04:48 PM
What does this Andhaka-Vrishni construct point to? Are these some of the Yadava Indo-Aryan tribes mentioned in the Vedic literature? Seems so and it also seems I was wrong in my previous post, about Andhra and Andhaka referring to the Krishna-Godavari delta region. Were there two Andhakas or did one Andhaka get transferred to the other and if so, which one into which? The Yadava Andhaka into the Krishna river Andhaka? Seems so.

Vrsnni (Vahni) were a Mathura/Madura clan. Basudev (of Bharat fame) belonged to the Vahni clan. They were known to Panini who had a limited northern horizon. The Andhak must have been a prakrit speaking clan since Bharat uses the Prakrit form for them rather than Andhra (Pali Andhak).

anthroin
11-23-2017, 05:19 PM
Vrsnni (Vahni) were a Mathura/Madura clan. Basudev (of Bharat fame) belonged to the Vahni clan. They were known to Panini who had a limited northern horizon. The Andhak must have been a prakrit speaking clan since Bharat uses the Prakrit form for them rather than Andhra (Pali Andhak).

Makes a lot of sense to me, this. The maps that I was referring to earlier, also show, in the "India as revealed in the Mahabharata" (http://dsal.uchicago.edu/reference/schwartzberg/fullscreen.html?object=051), two of these andh-type words. One called Andhaka is placed very close to Indraprastha in the north, while another called Andhra is mentioned in its same old location in the Krishna-Godavari delta. This seems to point to there being two distinct Andhra/Andhaka-type things in history. The later early Buddhists of Andhra may have rendered the Sanskritic/non-Sanskritic Andhra term as andha/andhaka in their Pali and began to refer to 'the Buddhists from the Krishna river' when they said andhakas. It is also possible though, that the mythical para-non-Indo-Aryan Andhras of the Krishna region and the Yadava tribes like Andhaka that you mentioned, shared some remote Vedic era association or something and these "degraded" Indo-Aryan pastoralist migrators into the Krishna valley preserved their tribal name and established some sort of territory styled after their name Andhra in the Krishna valley also.

But still, I must admit that it is not entirely clear to me how the Andhra of the Krishna region got its name (I detailed the problems associated with the etymologies, Indo-Aryan or otherwise, and their chronological order, in an earlier post); could you provide any of your insights regarding that? Thank you very much for reading all this, of course.

anthroin
11-23-2017, 05:21 PM
delete

tipirneni
11-23-2017, 07:57 PM
Makes a lot of sense to me, this. The maps that I was referring to earlier, also show, in the "India as revealed in the Mahabharata" (http://dsal.uchicago.edu/reference/schwartzberg/fullscreen.html?object=051), two of these andh-type words. One called Andhaka is placed very close to Indraprastha in the north, while another called Andhra is mentioned in its same old location in the Krishna-Godavari delta. This seems to point to there being two distinct Andhra/Andhaka-type things in history. The later early Buddhists of Andhra may have rendered the Sanskritic/non-Sanskritic Andhra term as andha/andhaka in their Pali and began to refer to 'the Buddhists from the Krishna river' when they said andhakas. It is also possible though, that the mythical para-non-Indo-Aryan Andhras of the Krishna region and the Yadava tribes like Andhaka that you mentioned, shared some remote Vedic era association or something and these "degraded" Indo-Aryan pastoralist migrators into the Krishna valley preserved their tribal name and established some sort of territory styled after their name Andhra in the Krishna valley also.

But still, I must admit that it is not entirely clear to me how the Andhra of the Krishna region got its name (I detailed the problems associated with the etymologies, Indo-Aryan or otherwise, and their chronological order, in an earlier post); could you provide any of your insights regarding that? Thank you very much for reading all this, of course.

There may be few places that have Dravidian or Munda people before but more or less
paleolithic time - Stone age people related to Andaman/Australian
mesolithic - Stone age people related to Andaman/Australian
Neolithic - Tribal people Munda and Dravidian tribes appearing around 2500
Chalcolithic - Dravidian settlements and Munda settlements, spread of IVC and Cem H/Copper hoard people (late harappa phase) into other areas in India. Krishna valley was most probably occupied in chalcolithic age from teling/kaling people mix of Munda/Dravidian tribes. agriculture and cattle was not widespread.
Early Iron Age - Yadu tribes/Kuru tribes/Ikshvaku tribes vedic age. yadu tribes mix with dravidian in south form south yadus and conquer significant parts of Deccan/South. More cattle and agriculture

After Nanda/Maurya late IRON age era more agriculture and more immigrants from UP/Bihar/Chedi/Kamboja. Many of them settled in Krishna/Godavari delta and the place names were changed to KammaNadu/VelaNadu/Vengi etc... in that area. The Chalukya and Pallava era there were more immigrants from UP and they further increased agriculture which continued later in Rashtrakuta/Kakatiya times.

parasar
11-24-2017, 08:23 PM
Makes a lot of sense to me, this. The maps that I was referring to earlier, also show, in the "India as revealed in the Mahabharata" (http://dsal.uchicago.edu/reference/schwartzberg/fullscreen.html?object=051), two of these andh-type words. One called Andhaka is placed very close to Indraprastha in the north, while another called Andhra is mentioned in its same old location in the Krishna-Godavari delta. This seems to point to there being two distinct Andhra/Andhaka-type things in history. The later early Buddhists of Andhra may have rendered the Sanskritic/non-Sanskritic Andhra term as andha/andhaka in their Pali and began to refer to 'the Buddhists from the Krishna river' when they said andhakas. It is also possible though, that the mythical para-non-Indo-Aryan Andhras of the Krishna region and the Yadava tribes like Andhaka that you mentioned, shared some remote Vedic era association or something and these "degraded" Indo-Aryan pastoralist migrators into the Krishna valley preserved their tribal name and established some sort of territory styled after their name Andhra in the Krishna valley also.

But still, I must admit that it is not entirely clear to me how the Andhra of the Krishna region got its name (I detailed the problems associated with the etymologies, Indo-Aryan or otherwise, and their chronological order, in an earlier post); could you provide any of your insights regarding that? Thank you very much for reading all this, of course.

I think the southern Andhra did not exist in the Bharat period, but did in the final Mahabharat compilation. Bharat is likely older than Book Seven of the Rg Ved.
Asok: "Here in the king's domain among the Yonas, the Kambojas, the Nabhakas, the Nabhapamkits, the Bhojas, the Pitinikas, the Andhras and the Palidas"
Similar to the Andhras of Aitreya Brahman.

If I am not mistaken, Andhras and Yadu Salbahan/Shatavahana are interchangeable. We also have Madurai in the south which is the similar in name to the Yadu Madura of the north. So yes it could be a migration to the south. The Greeks too mention a story about Hari's daughter born in the south ("the royal race of Pandaea arose, with the same privilege from Heracles"). Though they place the Andrae on the Ganges.

tipirneni
11-25-2017, 01:09 AM
I think the southern Andhra did not exist in the Bharat period, but did in the final Mahabharat compilation. Bharat is likely older than Book Seven of the Rg Ved.
Asok: "Here in the king's domain among the Yonas, the Kambojas, the Nabhakas, the Nabhapamkits, the Bhojas, the Pitinikas, the Andhras and the Palidas"
Similar to the Andhras of Aitreya Brahman.

If I am not mistaken, Andhras and Yadu Salbahan/Shatavahana are interchangeable. We also have Madurai in the south which is the similar in name to the Yadu Madura of the north. So yes it could be a migration to the south. The Greeks too mention a story about Hari's daughter born in the south ("the royal race of Pandaea arose, with the same privilege from Heracles"). Though they place the Andrae on the Ganges.

The Sata (horse) vahana (great or son) or Sali (distinguished) vahana might be Hurrian people mixed into Southern Yadu group. I am getting big match hits on MBA Armenia samples where the Bronze Age Hurrians migrated. There is also Hungary MBA group that has similar mix that I getting big match hits on.

Horse breading, the domestication of the horses and the development of the chariot in hurrian dates back to the time immemorial. In fact, the Armenian Highlands were renowned for horse breeding and horsemanship throughout ancient times. Murals of the Iron Age (Armenian) kingdom of Ararat attest to the richness of this practice. Traditionally Armenians consider themselves as descended from the biblical Torgom (Togarmah), where the Bible refers to the House of Togarmah, a land known for its horses (Ez. 27:14). For this reason the ancient Persians would collect Armenian horses as part of taxation for their armies and the royal guard (Strabo, 20 B.C.). Equally revered was the Armenian cavalry of the ancient times.

Vedic text speak of Togarmah. The horse people in Vedic text most likely indicate hurrian

19970

gyanwali
01-03-2018, 12:22 AM
1 Ancestral_North_Eurasian 38.01
2 Natufian 23.25
3 Ancestral_South_Eurasian 20.84
4 East_Asian 11.35
5 West_European_Hunter_Gartherer 6.55

poi
01-03-2018, 12:29 AM
1 Ancestral_North_Eurasian 38.01
2 Natufian 23.25
3 Ancestral_South_Eurasian 20.84
4 East_Asian 11.35
5 West_European_Hunter_Gartherer 6.55

Very intetesting. Is this with your new ftdna or the vcf(imputed?)?

gyanwali
01-03-2018, 12:59 PM
Still with vcf. I still have a few days till itíll come in. Itís only been 2 weeks.

IronHorse
06-17-2018, 01:00 AM
Saudi Arabian, tribal origins from Yemen:




#
Population
Percent


1
Natufian
54.27


2
Ancestral_North_Eurasian
23.32


3
West_European_Hunter_Gartherer
11.43


4
Sub_Saharan
7.47


5
Ancestral_South_Eurasian
3.31


6
East_Asian
0.2



Single Population Sharing:



#
Population (source)
Distance


1
Palestinian
3.58


2
Jordanian
4.05


3
Lebanese
4.09


4
Syrian
4.14


5
Saudi
5.79


6
BedouinA
6.04


7
Jew_Yemenite
6.43


8
Druze
6.56


9
Jew_iraqi
8.49


10
Jew_Iranian
8.97


11
Assyrian
9.6


12
Cypriot
10.73


13
Levant_BA
11.91


14
Jew_Tunisian
12.02


15
Georgian
12.4


16
Egyptian
12.5


17
Jew_Libyan
13.32


18
Jew_Moroccan
13.69


19
Iranian
13.69


20
Turkish
13.86



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

58.4%
Jew_Iranian
+
41.6%
Egyptian
@
1.44


2

60.3%
BedouinA
+
39.7%
Jew_Iranian
@
1.68


3

65.9%
Jew_Iranian
+
34.1%
Libyan
@
1.69


4

84.4%
Palestinian
+
15.6%
Iran_LN
@
1.83


5

59.9%
Jew_iraqi
+
40.1%
Egyptian
@
1.87


6

59.1%
BedouinA
+
40.9%
Jew_iraqi
@
1.93


7

67.3%
Jew_iraqi
+
32.7%
Libyan
@
1.99


8

91.3%
Palestinian
+
8.7%
CHG
@
2.01


9

90.3%
Palestinian
+
9.7%
Makrani
@
2.02


10

86.7%
Palestinian
+
13.3%
Iranian_Lori
@
2.02


11

91%
Palestinian
+
9%
Brahui
@
2.04


12

77.4%
Jew_Iranian
+
22.6%
Saharawi
@
2.06


13

89.8%
Palestinian
+
10.2%
Baloch_Iranian
@
2.06


14

91.3%
Palestinian
+
8.7%
Balochi
@
2.09


15

84.3%
Palestinian
+
15.7%
Iranian_Shirazi
@
2.11


16

62.3%
BedouinA
+
37.7%
Assyrian
@
2.12


17

85.4%
Palestinian
+
14.6%
Iranian_Mazandarani
@
2.14


18

83%
Palestinian
+
17%
Kurd_C
@
2.15


19

78.4%
Jew_iraqi
+
21.6%
Saharawi
@
2.16


20

84.1%
Palestinian
+
15.9%
Kurd_F
@
2.16

Zuran
06-17-2018, 09:10 AM
Near East Neolithic K13:
1.26% SE_ASIAN
0.07% ANATOLIA_NEOLITHIC
11.30% CHG_EEF
2.59% POLAR
12.42% EHG
0.45% SUB_SAHARAN
35.23% IRAN_NEOLITHIC
1.12% KARITIANA
29.48% ANCESTRAL_INDIAN
3.50% NATUFIAN
0.26% SIBERIAN
0.30% PAPUAN
2.02% SHG_WHG
Ancient Eurasia K6
Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 38.5
2 Natufian 30.93
3 Ancestral_South_Eurasian 14.95
4 East_Asian 9.94
5 West_European_Hunter_Gartherer 5.64
6 Sub_Saharan 0.04

Single Population Sharing:

# Population (source) Distance
1 Pathan 4.66
2 Pashtun_Afghan 4.66
3 Kalash 5.47
4 Burusho 7
5 Punjabi 7.21
6 GujaratiA 7.85
7 Sindhi 8.2
8 Kurd_SE 9.47
9 GujaratiB 10.68
10 Tajik 11.6
11 Balochi 11.95
12 Brahui 12.68
13 Makrani 14.04
14 GujaratiC 14.57
15 Baloch_Iranian 15.31
16 GujaratiD 16.35
17 Punjabi_PJL 17.62
18 Iran_N 19.2
19 Iranian_Mazandarani 19.81
20 Iranian_Shirazi 19.86

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.7% Pashtun_Afghan + 30.3% GujaratiB @ 0.49
2 76.2% Pashtun_Afghan + 23.8% GujaratiC @ 0.99
3 78.3% Pashtun_Afghan + 21.7% GujaratiD @ 1.1
4 61.8% Punjabi + 38.2% Tajik @ 1.13
5 88.6% Pathan + 11.4% Uzbek @ 1.19
6 61.3% Pashtun_Afghan + 38.7% Punjabi @ 1.2
7 63.4% Pashtun_Afghan + 36.6% GujaratiA @ 1.29
8 93.8% Kalash + 6.2% Cambodian @ 1.3
9 79.8% Pashtun_Afghan + 20.2% Punjabi_PJL @ 1.34
10 89.5% Kalash + 10.5% Hazara @ 1.39
11 86.2% Pathan + 13.8% Turkmen @ 1.41
12 92.4% Kalash + 7.6% Kyrgyz @ 1.41
13 94.5% Kalash + 5.5% Tibetan @ 1.44
14 93.7% Kalash + 6.3% Kalmyk @ 1.45
15 89.6% Kalash + 10.4% Uygur @ 1.46
16 93.3% Kalash + 6.7% Sherpa @ 1.47
17 92.9% Kalash + 7.1% Altaian @ 1.48
18 58.8% Sindhi + 41.2% Tajik @ 1.48
19 91.1% Pathan + 8.9% Hazara @ 1.49
20 91.1% Pathan + 8.9% Uygur @ 1.49

MonkeyDLuffy
06-17-2018, 02:54 PM
Near East Neolithic K13:
1.26% SE_ASIAN
0.07% ANATOLIA_NEOLITHIC
11.30% CHG_EEF
2.59% POLAR
12.42% EHG
0.45% SUB_SAHARAN
35.23% IRAN_NEOLITHIC
1.12% KARITIANA
29.48% ANCESTRAL_INDIAN
3.50% NATUFIAN
0.26% SIBERIAN
0.30% PAPUAN
2.02% SHG_WHG
Ancient Eurasia K6
Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 38.5
2 Natufian 30.93
3 Ancestral_South_Eurasian 14.95
4 East_Asian 9.94
5 West_European_Hunter_Gartherer 5.64
6 Sub_Saharan 0.04

Single Population Sharing:

# Population (source) Distance
1 Pathan 4.66
2 Pashtun_Afghan 4.66
3 Kalash 5.47
4 Burusho 7
5 Punjabi 7.21
6 GujaratiA 7.85
7 Sindhi 8.2
8 Kurd_SE 9.47
9 GujaratiB 10.68
10 Tajik 11.6
11 Balochi 11.95
12 Brahui 12.68
13 Makrani 14.04
14 GujaratiC 14.57
15 Baloch_Iranian 15.31
16 GujaratiD 16.35
17 Punjabi_PJL 17.62
18 Iran_N 19.2
19 Iranian_Mazandarani 19.81
20 Iranian_Shirazi 19.86

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.7% Pashtun_Afghan + 30.3% GujaratiB @ 0.49
2 76.2% Pashtun_Afghan + 23.8% GujaratiC @ 0.99
3 78.3% Pashtun_Afghan + 21.7% GujaratiD @ 1.1
4 61.8% Punjabi + 38.2% Tajik @ 1.13
5 88.6% Pathan + 11.4% Uzbek @ 1.19
6 61.3% Pashtun_Afghan + 38.7% Punjabi @ 1.2
7 63.4% Pashtun_Afghan + 36.6% GujaratiA @ 1.29
8 93.8% Kalash + 6.2% Cambodian @ 1.3
9 79.8% Pashtun_Afghan + 20.2% Punjabi_PJL @ 1.34
10 89.5% Kalash + 10.5% Hazara @ 1.39
11 86.2% Pathan + 13.8% Turkmen @ 1.41
12 92.4% Kalash + 7.6% Kyrgyz @ 1.41
13 94.5% Kalash + 5.5% Tibetan @ 1.44
14 93.7% Kalash + 6.3% Kalmyk @ 1.45
15 89.6% Kalash + 10.4% Uygur @ 1.46
16 93.3% Kalash + 6.7% Sherpa @ 1.47
17 92.9% Kalash + 7.1% Altaian @ 1.48
18 58.8% Sindhi + 41.2% Tajik @ 1.48
19 91.1% Pathan + 8.9% Hazara @ 1.49
20 91.1% Pathan + 8.9% Uygur @ 1.49


That Indian Punjab flag, makes me proud, manly tears were she'd.

vishankar
03-23-2020, 03:47 PM
my brother's eurasian K6 results-
Admix Results (sorted):

# Population Percent
1 Ancestral_North_Eurasian 36.37
2 Ancestral_South_Eurasian 23.58
3 Natufian 23.11
4 East_Asian 14.17
5 West_European_Hunter_Gartherer 1.44
6 Sub_Saharan 1.34

nuplix
03-23-2020, 11:39 PM
nMonte Calculator by www.dnagenics.com
v1.1 04/02/2020

Finished reading population data. 138 populations found.
6 components mode.

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



Distance: 62.66

36.00% Iran_N_WC1
33.20% Iran_N
30.80% Iran_LN

MonkeyDLuffy
03-24-2020, 12:04 AM
nMonte Calculator by www.dnagenics.com
v1.1 04/02/2020

Finished reading population data. 138 populations found.
6 components mode.

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



Distance: 62.66

36.00% Iran_N_WC1
33.20% Iran_N
30.80% Iran_LN

Aah Chauhan saab eh ki post kri jaane o.

nuplix
03-24-2020, 12:42 AM
Aah Chauhan saab eh ki post kri jaane o.

paa g, that's my result from gedrosia k6.

here are the oracles though.


Components %
Ancestral_S_Eurasian 17.24
East_Asian 6.79
Iran_Neolithic 57.36
Natufian 10.50
WHG 8.11
Sub_Saharan 0.00

MonkeyDLuffy
03-24-2020, 01:49 AM
paa g, that's my result from gedrosia k6.

here are the oracles though.

Tussi oracles pehla post krte, te confusion hogi.

nuplix
03-24-2020, 02:13 AM
Sorry pa g!
Next time, I am gonna post oracle first and nmonte later. :P

Adam A
03-24-2020, 11:39 AM
Mine

# Population Percent
1 Natufian 26.89
2 Ancestral_North_Eurasian 24.83
3 East_Asian 20.13
4 Ancestral_South_Eurasian 10.13
5 West_European_Hunter_Gartherer 9.01
6 Sub_Saharan 9

Single Population Sharing:

# Population (source) Distance
1 Turkmen 15.66
2 Tajik 16.67
3 Burusho 19.38
4 Pashtun_Afghan 19.75
5 Uzbek 21.38
6 Pathan 24.75
7 Bengali 25.35
8 Kalash 25.4
9 Balkar 25.5
10 GujaratiA 25.52
11 Punjabi 25.67
12 Steppe_IA 25.68
13 GujaratiB 26.72
14 Sindhi 27.06
15 Kurd_SE 27.58
16 GujaratiD 27.65
17 GujaratiC 27.69
18 Azeri 27.75
19 Kumyk 27.87
20 Punjabi_PJL 27.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.3% Yemeni + 38.7% Clovis @ 9.21
2 87.6% Turkmen + 12.4% Mota @ 9.79
3 82.6% Turkmen + 17.4% Somali @ 10.01
4 86.1% Turkmen + 13.9% Masai @ 10.02
5 87.8% Turkmen + 12.2% Hadza @ 10.28
6 59.2% BedouinA + 40.8% Clovis @ 10.35
7 65.6% Iranian_Shirazi + 34.4% Kusunda @ 10.37
8 89.8% Turkmen + 10.2% Gambian @ 10.45
9 60.7% Syrian + 39.3% Clovis @ 10.5
10 90.2% Turkmen + 9.8% Yoruba @ 10.55
11 90.2% Turkmen + 9.8% Esan @ 10.55
12 60% Jordanian + 40% Clovis @ 10.55
13 59.1% Egyptian + 40.9% Clovis @ 10.62
14 69.2% Turkmen + 30.8% GujaratiC @ 10.75
15 64.3% Yemeni + 35.7% Pima @ 10.81
16 69.3% Turkmen + 30.7% GujaratiD @ 10.85
17 69.5% Turkmen + 30.5% Punjabi_PJL @ 10.87
18 87.1% Tajik + 12.9% Hadza @ 10.92
19 61.6% Uzbek + 38.4% Yemeni @ 10.92
20 67.4% Turkmen + 32.6% GujaratiA @ 10.97

Girfriends:

# Population Percent
1 East_Asian 70.01
2 Ancestral_South_Eurasian 28.91
3 Ancestral_North_Eurasian 0.62
4 Sub_Saharan 0.46

Single Population Sharing:

# Population (source) Distance
1 Cambodian 16.26
2 Kusunda 16.66
3 Sherpa 18.87
4 Tibetan 27.66
5 Kalmyk 30.4
6 Altaian 31.88
7 Kyrgyz 32.94
8 Eskimo 33.87
9 Nganasan 34.88
10 Pima 35.17
11 Mongola 35.17
12 Ami 35.77
13 Clovis 36.86
14 Han 37.32
15 Ulchi 38.88
16 Dai 39.83
17 Kharia 40.36
18 Hazara 41.51
19 Uygur 42.21
20 Uzbek 51.84

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.7% Ulchi + 33.3% Onge @ 0.55
2 71.1% Ulchi + 28.9% Andamanese @ 0.55
3 71.1% Ulchi + 28.9% Australian @ 0.55
4 71.1% Ulchi + 28.9% Papuan @ 0.55
5 67.6% Han + 32.4% Onge @ 0.92
6 71.9% Han + 28.1% Papuan @ 0.95
7 71.9% Han + 28.1% Andamanese @ 0.95
8 71.9% Han + 28.1% Australian @ 0.95
9 66.1% Dai + 33.9% Onge @ 1.05
10 68.5% Ami + 31.5% Onge @ 1.05
11 70.6% Dai + 29.4% Papuan @ 1.08
12 72.7% Ami + 27.3% Andamanese @ 1.08
13 72.7% Ami + 27.3% Australian @ 1.08
14 72.7% Ami + 27.3% Papuan @ 1.08
15 70.6% Dai + 29.4% Andamanese @ 1.08
16 70.6% Dai + 29.4% Australian @ 1.08
17 73.8% Tibetan + 26.2% Onge @ 1.84
18 77.6% Tibetan + 22.4% Andamanese @ 1.94
19 77.6% Tibetan + 22.4% Australian @ 1.94
20 77.6% Tibetan + 22.4% Papuan @ 1.94


Mums:

# Population Percent
1 Natufian 33.85
2 Ancestral_North_Eurasian 25.12
3 West_European_Hunter_Gartherer 21.53
4 Ancestral_South_Eurasian 9.56
5 East_Asian 9.46
6 Sub_Saharan 0.48

Single Population Sharing:

# Population (source) Distance
1 Tajik 12.89
2 Balkar 13.68
3 Kumyk 14.67
4 Adygei 16.26
5 Turkish 16.29
6 Chechen 16.73
7 Steppe_IA 17.41
8 Lezgin 17.82
9 Armenia_ChL 18.03
10 Pashtun_Afghan 18.28
11 Azeri 18.88
12 Iran_N_WC1 19.56
13 Iran_recent 20.79
14 Bulgarian 20.97
15 Greek 21.35
16 Iranian 21.6
17 Sicilian 21.95
18 Jew_Ashkenazi 21.95
19 Romanian 22.12
20 Albanian 22.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 56.7% Burusho + 43.3% Basque @ 2.28
2 52.1% Burusho + 47.9% Spanish @ 2.31
3 62.3% Bulgarian + 37.7% Bengali @ 3
4 61.1% Romanian + 38.9% Bengali @ 3.49
5 60.8% Albanian + 39.2% Bengali @ 3.58
6 53.4% Romanian + 46.6% Burusho @ 3.7
7 51.8% Burusho + 48.2% French @ 3.77
8 51.3% Croatian + 48.7% Burusho @ 3.83
9 58.1% Burusho + 41.9% Sardinian @ 3.86
10 54.8% Bulgarian + 45.2% Burusho @ 4.01
11 67.2% Balkar + 32.8% GoyetQ116 @ 4.01
12 59.3% Azeri + 40.7% GoyetQ116 @ 4.07
13 62% Greek + 38% Bengali @ 4.1
14 50.4% Hungarian + 49.6% Burusho @ 4.28
15 65% Pashtun_Afghan + 35% Basque @ 4.8
16 73.3% Tajik + 26.7% Basque @ 4.85
17 52.1% Iran_ChL + 47.9% GoyetQ116 @ 4.87
18 56.9% Iran_recent + 43.1% GoyetQ116 @ 4.99
19 61.9% Bulgarian + 38.1% Punjabi_PJL @ 5.08
20 69.6% Tajik + 30.4% Spanish @ 5.11

ThaYamamoto
03-25-2020, 07:20 PM
Is there a thread for this version available on admix studio and not the older gedmatch version? e.g. the near east iranian neolithic version. im trynna cross compare cuz i don't have gedmatch anymore.

MonkeyDLuffy
03-25-2020, 09:00 PM
Is there a thread for this version available on admix studio and not the older gedmatch version? e.g. the near east iranian neolithic version. im trynna cross compare cuz i don't have gedmatch anymore.

It only has 5000 SNP coverage, which is nothing. Won't even consider running this calculator.

26284729292
03-26-2020, 02:52 AM
It only has 5000 SNP coverage, which is nothing. Won't even consider running this calculator.

Some of these old gedmatch calcs are rough in retrospect.

MonkeyDLuffy
03-26-2020, 03:01 AM
Some of these old gedmatch calcs are rough in retrospect.

Gedrosia calcs were not the best to begin with.