Harappa Ancestry Project

**~~Bosniensis~~** · 02-15-2018, 11:43 PM

Originally Posted by Decius

Show your oracle-4

Admix Results (sorted):

# Population Percent
1 NE-Euro 39.99
2 Mediterranean 24.74
3 Caucasian 19.47
4 Baloch 8.32
5 SW-Asian 4.95
6 Beringian 1.04

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

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

Least-squares method.

Using 1 population approximation:
1 serbian_harappa @ 5.808574
2 romanian-a_behar @ 7.834525
3 bulgarian_yunusbayev @ 10.542596
4 hungarian_behar @ 10.543539
5 slovenian_xing @ 12.374473
6 french_hgdp @ 15.777181
7 italian_hgdp @ 17.093967
8 n-european_xing @ 19.313049
9 utahn-white_1000genomes @ 20.010405
10 tuscan_hapmap @ 20.248856
11 tuscan_hgdp @ 20.294926
12 tuscan_1000genomes @ 20.538202
13 utahn-white_hapmap @ 20.687021
14 ukranian_yunusbayev @ 21.451975
15 british_1000genomes @ 22.042879
16 spaniard_behar @ 22.791613
17 spaniard_1000genomes @ 24.131166
18 orcadian_hgdp @ 24.607719
19 ashkenazi_harappa @ 26.826246
20 mordovian_yunusbayev @ 27.439045

Using 2 populations approximation:
1 50% tuscan_hgdp +50% ukranian_yunusbayev @ 3.025431

Using 3 populations approximation:
1 50% lithuanian_behar +25% sardinian_hgdp +25% uzbekistan-jew_behar @ 1.810721

**FrostAssassin0701** · 02-16-2018, 01:16 AM

# Population Percent
1 S-Indian 45.72
2 Baloch 30.36
3 NE-Euro 10.25
4 Mediterranean 4.4
5 Caucasian 3.82
6 Papuan 1.32
7 Siberian 1.07
8 SE-Asian 0.95
9 NE-Asian 0.84
10 Beringian 0.44
11 San 0.36
12 Pygmy 0.25
13 American 0.21

Single Population Sharing:

# Population (source) Distance
1 vaish (reich) 5.26
2 bengali-brahmin (harappa) 5.33
3 bihari-muslim (harappa) 5.59
4 karnataka-brahmin (harappa) 6.61
5 up-kshatriya (metspalu) 6.74
6 bihari (harappa) 6.87
7 brahmin-uttar-pradesh (metspalu) 6.89
8 srivastava (reich) 7.18
9 up (harappa) 7.26
10 caribbean-indian (harappa) 7.32
11 maharashtrian (harappa) 7.56
12 sri-lankan (harappa) 7.86
13 ap-brahmin (xing) 7.86
14 meghawal (reich) 8.37
15 iyengar-brahmin (harappa) 8.37
16 rajasthani (harappa) 8.66
17 iyer-brahmin (harappa) 8.71
18 gujarati (harappa) 8.75
19 up-brahmin (harappa) 9.19
20 up-muslim (metspalu) 9.22

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.8% tharu (metspalu) + 14.2% hungarian (behar) @ 1.74
2 86.2% tharu (metspalu) + 13.8% n-european (xing) @ 1.79
3 85.9% tharu (metspalu) + 14.1% slovenian (xing) @ 1.82
4 86.2% tharu (metspalu) + 13.8% utahn-white (1000genomes) @ 1.89
5 87.1% dharkar (metspalu) + 12.9% slovenian (xing) @ 1.92
6 90.7% bihari (harappa) + 9.3% british (1000genomes) @ 1.93
7 87% dharkar (metspalu) + 13% hungarian (behar) @ 1.93
8 90.6% bihari (harappa) + 9.4% utahn-white (1000genomes) @ 1.93
9 83.5% karnataka (harappa) + 16.5% n-european (xing) @ 1.98
10 90.8% bihari (harappa) + 9.2% orcadian (hgdp) @ 1.99
11 90.7% bihari (harappa) + 9.3% n-european (xing) @ 2.01
12 83.6% karnataka (harappa) + 16.4% utahn-white (hapmap) @ 2.02
13 86.3% tharu (metspalu) + 13.7% british (1000genomes) @ 2.03
14 83.8% karnataka (harappa) + 16.2% ukranian (yunusbayev) @ 2.03
15 84.5% karnataka (harappa) + 15.5% belorussian (behar) @ 2.07
16 86.4% dharkar (metspalu) + 13.6% romanian-a (behar) @ 2.11
17 90.5% bihari (harappa) + 9.5% french (hgdp) @ 2.13
18 87.3% up-muslim (metspalu) + 12.7% hungarian (behar) @ 2.14
19 86.5% tharu (metspalu) + 13.5% orcadian (hgdp) @ 2.14
20 85.3% kanjar (metspalu) + 14.7% romanian-a (behar) @ 2.15

**ovidiu** · 03-02-2018, 09:37 PM

Admix Results (sorted):

# Population Percent
1 NE-Euro 34.53
2 Caucasian 24.49
3 Mediterranean 23.91
4 Baloch 8.39
5 SW-Asian 6.92
6 NE-Asian 0.91
7 Siberian 0.85

Single Population Sharing:

# Population (source) Distance
1 romanian-a (behar) 3.12
2 bulgarian (yunusbayev) 4.22
3 tuscan (1000genomes) 13.64
4 tuscan (hgdp) 13.68
5 tuscan (hapmap) 13.95
6 italian (hgdp) 15.01
7 hungarian (behar) 16.81
8 ashkenazi (harappa) 17.18
9 slovenian (xing) 18.17
10 ashkenazy-jew (behar) 20.48
11 french (hgdp) 20.78
12 spaniard (behar) 24.06
13 turk-aydin (hodoglugil) 24.17
14 n-european (xing) 25.12
15 spaniard (1000genomes) 25.22
16 utahn-white (1000genomes) 25.64
17 ukranian (yunusbayev) 25.65
18 utahn-white (hapmap) 26.32
19 sephardic-jew (behar) 27.36
20 british (1000genomes) 27.42

Curious, what is Beringian? Like the area around the Bering Strait?

**~~MercifulServant~~** · 03-30-2018, 05:05 AM

Originally Posted by ovidiu

Admix Results (sorted):

# Population Percent
1 NE-Euro 34.53
2 Caucasian 24.49
3 Mediterranean 23.91
4 Baloch 8.39
5 SW-Asian 6.92
6 NE-Asian 0.91
7 Siberian 0.85

Single Population Sharing:

# Population (source) Distance
1 romanian-a (behar) 3.12
2 bulgarian (yunusbayev) 4.22
3 tuscan (1000genomes) 13.64
4 tuscan (hgdp) 13.68
5 tuscan (hapmap) 13.95
6 italian (hgdp) 15.01
7 hungarian (behar) 16.81
8 ashkenazi (harappa) 17.18
9 slovenian (xing) 18.17
10 ashkenazy-jew (behar) 20.48
11 french (hgdp) 20.78
12 spaniard (behar) 24.06
13 turk-aydin (hodoglugil) 24.17
14 n-european (xing) 25.12
15 spaniard (1000genomes) 25.22
16 utahn-white (1000genomes) 25.64
17 ukranian (yunusbayev) 25.65
18 utahn-white (hapmap) 26.32
19 sephardic-jew (behar) 27.36
20 british (1000genomes) 27.42

Curious, what is Beringian? Like the area around the Bering Strait?

Beringian is some type of east asian I think. im suprised you scored only 34 northern europe. I thought romanians would be closer to us

**oszkar07** · 03-30-2018, 03:27 PM

Admix Results (sorted):

# Population Percent
1 NE-Euro 49.82
2 Mediterranean 27.22
3 Caucasian 10.93
4 Baloch 8.16
5 SW-Asian 2.46
6 Siberian 1.28
7 Pygmy 0.13

Single Population Sharing:

# Population (source) Distance
1 hungarian (behar) 4.64
2 slovenian (xing) 5.76
3 n-european (xing) 5.78
4 utahn-white (hapmap) 7.3
5 utahn-white (1000genomes) 7.69
6 british (1000genomes) 9.65
7 french (hgdp) 11.17
8 orcadian (hgdp) 11.32
9 ukranian (yunusbayev) 12.29
10 belorussian (behar) 17.16
11 mordovian (yunusbayev) 18.14
12 romanian-a (behar) 18.71
13 russian (behar) 18.98
14 russian (hgdp) 20.71
15 bulgarian (yunusbayev) 20.92
16 spaniard (behar) 22.9
17 lithuanian (behar) 23.6
18 italian (hgdp) 23.61
19 spaniard (1000genomes) 23.98
20 chuvash (behar) 25.34

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.4% french (hgdp) + 47.6% ukranian (yunusbayev) @ 1.09
2 68.2% hungarian (behar) + 31.8% british (1000genomes) @ 1.21
3 62.9% hungarian (behar) + 37.1% utahn-white (1000genomes) @ 1.24
4 71.7% hungarian (behar) + 28.3% orcadian (hgdp) @ 1.33
5 56% hungarian (behar) + 44% n-european (xing) @ 1.48
6 57.6% slovenian (xing) + 42.4% utahn-white (1000genomes) @ 1.69
7 63.4% slovenian (xing) + 36.6% british (1000genomes) @ 1.79
8 63.2% french (hgdp) + 36.8% russian (behar) @ 1.85
9 79.3% n-european (xing) + 20.7% bulgarian (yunusbayev) @ 1.97
10 77.5% n-european (xing) + 22.5% romanian-a (behar) @ 2.04
11 65.3% ukranian (yunusbayev) + 34.7% spaniard (behar) @ 2.08
12 62.2% french (hgdp) + 37.8% mordovian (yunusbayev) @ 2.14
13 66.4% ukranian (yunusbayev) + 33.6% spaniard (1000genomes) @ 2.17
14 92.5% n-european (xing) + 7.5% druze (hgdp) @ 2.24
15 91.3% n-european (xing) + 8.7% balkar (yunusbayev) @ 2.31
16 91.5% n-european (xing) + 8.5% adygei (hgdp) @ 2.32
17 93.1% n-european (xing) + 6.9% georgian (behar) @ 2.33
18 91.6% n-european (xing) + 8.4% north-ossetian (yunusbayev) @ 2.35
19 93% n-european (xing) + 7% abhkasian (yunusbayev) @ 2.36
20 60.9% french (hgdp) + 39.1% belorussian (behar) @ 2.37

I seem to get lot of Med in this , seems a bit exaggerated compared to other Calcs.

**Blemoir** · 06-15-2020, 02:22 PM

Admix Results (sorted):

# Population Percent
1 Mediterranean 30.47
2 NE-Euro 25.62
3 Caucasian 20.71
4 SW-Asian 9.84
5 W-African 5.69
6 Baloch 3.91
7 American 1.89
8 Papuan 1.08

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

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

Least-squares method.

Using 1 population approximation:
1 italian_hgdp @ 10.780648
2 tuscan_hapmap @ 10.794507
3 tuscan_hgdp @ 10.864617
4 tuscan_1000genomes @ 11.060064
5 romanian-a_behar @ 15.938155
6 bulgarian_yunusbayev @ 16.594496
7 ashkenazi_harappa @ 17.571899
8 spaniard_behar @ 19.709185
9 ashkenazy-jew_behar @ 19.969196
10 spaniard_1000genomes @ 20.333172
11 puerto-rican_1000genomes @ 20.607685
12 serbian_harappa @ 21.266155
13 french_hgdp @ 23.567616
14 morocco-jew_behar @ 24.300993
15 sephardic-jew_behar @ 25.543728
16 puerto-rican_bryc @ 25.724798
17 hungarian_behar @ 26.819010
18 slovenian_xing @ 28.634867
19 turk-aydin_hodoglugil @ 29.352287
20 colombian_1000genomes @ 30.583004

Using 2 populations approximation:
1 50% french_hgdp +50% morocco-jew_behar @ 6.932554

Using 3 populations approximation:
1 50% bulgarian_yunusbayev +25% italian_hgdp +25% morocco-s_henn2012 @ 4.065813

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++
1 lithuanian_behar + puerto-rican_bryc + samaritian_behar + sardinian_hgdp @ 3.062234
2 lebanese-christian_haber + lithuanian_behar + puerto-rican_bryc + sardinian_hgdp @ 3.381682
3 belorussian_behar + cypriot_behar + puerto-rican_bryc + sardinian_hgdp @ 3.636709
4 cypriot_behar + lithuanian_behar + puerto-rican_bryc + sardinian_hgdp @ 3.707514
5 lebanese-druze_haber + lithuanian_behar + puerto-rican_bryc + sardinian_hgdp @ 3.743277
6 belorussian_behar + lebanese_behar + puerto-rican_bryc + sardinian_hgdp @ 3.745673
7 belorussian_behar + puerto-rican_bryc + samaritian_behar + sardinian_hgdp @ 3.808525
8 druze_hgdp + lithuanian_behar + puerto-rican_bryc + sardinian_hgdp @ 3.820843
9 lebanese_behar + puerto-rican_bryc + russian_behar + sardinian_hgdp @ 3.901999
10 morocco-jew_behar + puerto-rican_bryc + slovenian_xing + tuscan_hapmap @ 3.940495
11 belorussian_behar + lebanese-christian_haber + puerto-rican_bryc + sardinian_hgdp @ 3.950075
12 hungarian_behar + italian_hgdp + morocco-jew_behar + puerto-rican_bryc @ 3.951785
13 ashkenazi_harappa + bulgarian_yunusbayev + puerto-rican_bryc + spaniard_1000genomes @ 3.959036
14 cypriot_behar + puerto-rican_bryc + russian_behar + sardinian_hgdp @ 3.959318
15 italian_hgdp + morocco-jew_behar + puerto-rican_bryc + slovenian_xing @ 3.962437
16 ashkenazy-jew_behar + bulgarian_yunusbayev + puerto-rican_bryc + spaniard_1000genomes @ 3.965153
17 hungarian_behar + morocco-jew_behar + puerto-rican_bryc + tuscan_hapmap @ 3.993582
18 belorussian_behar + puerto-rican_bryc + sardinian_hgdp + syrian_behar @ 3.996975
19 hungarian_behar + italian_hgdp + puerto-rican_bryc + sephardic-jew_behar @ 4.006999
20 ashkenazy-jew_behar + bulgarian_yunusbayev + puerto-rican_bryc + spaniard_behar @ 4.008070

Done.

**VikLevaPatel** · 01-18-2022, 07:11 AM

HarappaWorld Oracle results:

https://archive.is/Ei8o2/eebd27916e0...89d12ffe91.png

SNPs used in this evaluation: 52646.

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

https://ibb.co/pjN9R4B

https://archive.is/DTGZ9/7a5e68ea9fa...690bc1eb0e.png

https://www.theapricity.com/forum/sh...30#post7411330

https://ibb.co/m8T0gsh

Least-squares method.

Using 1 population approximation:
1 gujarati-a_hapmap @ 1.964849
2 gujarati-a_1000genomes @ 2.095956
3 gujarati-patel_harappa @ 2.879048
4 kurmi_metspalu @ 6.374403
5 ap-reddy_harappa @ 6.736934
6 kerala-nair_harappa @ 7.483435
7 velama_metspalu @ 7.656212
8 singapore-indian-b_sgvp @ 7.954231
9 dharkar_metspalu @ 8.618847
10 meghawal_metspalu @ 8.635387
11 velama_reich @ 8.646509
12 goan_harappa @ 8.677459
13 karnataka_harappa @ 8.856803
14 ap-brahmin_xing @ 9.068559
15 iyer-brahmin_harappa @ 9.161257
16 lambadi_metspalu @ 9.166881
17 tharu_metspalu @ 9.215810
18 iyengar-brahmin_harappa @ 9.375264
19 kanjar_metspalu @ 9.605923
20 tn-brahmin_xing @ 9.717047

Using 2 populations approximation:
1 50% gujarati-a_1000genomes +50% gujarati-a_hapmap @ 1.876072

Using 3 populations approximation:
1 50% gujarati-a_1000genomes +25% gujarati-a_hapmap +25% gujarati-a_hapmap @ 1.876072

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++
1 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-a_hapmap @ 1.876072
2 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa + kerala-nair_harappa @ 1.910654
3 gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap @ 1.912514
4 gujarati-a_hapmap + gujarati-patel_harappa + gujarati-patel_harappa + kerala-nair_harappa @ 1.920590
5 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap @ 1.964849
6 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_hapmap @ 1.967613
7 gujarati_harappa + gujarati-a_hapmap + gujarati-patel_harappa + gujarati-patel_harappa @ 2.017616
8 gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa @ 2.019594
9 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-patel_harappa @ 2.027505
10 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap + kerala-nair_harappa @ 2.034650
11 gujarati_harappa + gujarati-patel_harappa + gujarati-patel_harappa + gujarati-patel_harappa @ 2.039081
12 gujarati-patel_harappa + gujarati-patel_harappa + gujarati-patel_harappa + kerala-nair_harappa @ 2.061070
13 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa @ 2.063648
14 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_1000genomes @ 2.095956
15 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-patel_harappa @ 2.098037
16 gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-patel_harappa + kerala-nair_harappa @ 2.114208
17 gujarati_harappa + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa @ 2.134070
18 gujarati-a_1000genomes + gujarati-patel_harappa + gujarati-patel_harappa + kerala-nair_harappa @ 2.143851
19 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap + kurmi_metspalu @ 2.156288
20 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa + kurmi_metspalu @ 2.198366

Done.

**VikLevaPatel** · 01-18-2022, 08:30 AM

Originally Posted by VikLevaPatel

HarappaWorld Oracle results:

https://archive.is/Ei8o2/eebd27916e0...89d12ffe91.png

SNPs used in this evaluation: 52646.

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

https://ibb.co/pjN9R4B

https://archive.is/DTGZ9/7a5e68ea9fa...690bc1eb0e.png

https://www.theapricity.com/forum/sh...30#post7411330

https://ibb.co/m8T0gsh

Least-squares method.

Using 1 population approximation:
1 gujarati-a_hapmap @ 1.964849
2 gujarati-a_1000genomes @ 2.095956
3 gujarati-patel_harappa @ 2.879048
4 kurmi_metspalu @ 6.374403
5 ap-reddy_harappa @ 6.736934
6 kerala-nair_harappa @ 7.483435
7 velama_metspalu @ 7.656212
8 singapore-indian-b_sgvp @ 7.954231
9 dharkar_metspalu @ 8.618847
10 meghawal_metspalu @ 8.635387
11 velama_reich @ 8.646509
12 goan_harappa @ 8.677459
13 karnataka_harappa @ 8.856803
14 ap-brahmin_xing @ 9.068559
15 iyer-brahmin_harappa @ 9.161257
16 lambadi_metspalu @ 9.166881
17 tharu_metspalu @ 9.215810
18 iyengar-brahmin_harappa @ 9.375264
19 kanjar_metspalu @ 9.605923
20 tn-brahmin_xing @ 9.717047

Using 2 populations approximation:
1 50% gujarati-a_1000genomes +50% gujarati-a_hapmap @ 1.876072

Using 3 populations approximation:
1 50% gujarati-a_1000genomes +25% gujarati-a_hapmap +25% gujarati-a_hapmap @ 1.876072

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++
1 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-a_hapmap @ 1.876072
2 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa + kerala-nair_harappa @ 1.910654
3 gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap @ 1.912514
4 gujarati-a_hapmap + gujarati-patel_harappa + gujarati-patel_harappa + kerala-nair_harappa @ 1.920590
5 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap @ 1.964849
6 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_hapmap @ 1.967613
7 gujarati_harappa + gujarati-a_hapmap + gujarati-patel_harappa + gujarati-patel_harappa @ 2.017616
8 gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa @ 2.019594
9 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-patel_harappa @ 2.027505
10 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap + kerala-nair_harappa @ 2.034650
11 gujarati_harappa + gujarati-patel_harappa + gujarati-patel_harappa + gujarati-patel_harappa @ 2.039081
12 gujarati-patel_harappa + gujarati-patel_harappa + gujarati-patel_harappa + kerala-nair_harappa @ 2.061070
13 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa @ 2.063648
14 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_1000genomes @ 2.095956
15 gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-a_1000genomes + gujarati-patel_harappa @ 2.098037
16 gujarati-a_1000genomes + gujarati-a_hapmap + gujarati-patel_harappa + kerala-nair_harappa @ 2.114208
17 gujarati_harappa + gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa @ 2.134070
18 gujarati-a_1000genomes + gujarati-patel_harappa + gujarati-patel_harappa + kerala-nair_harappa @ 2.143851
19 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-a_hapmap + kurmi_metspalu @ 2.156288
20 gujarati-a_hapmap + gujarati-a_hapmap + gujarati-patel_harappa + kurmi_metspalu @ 2.198366

Done.

Lazardis%20admixture:
Attachment 112115
https://i.ibb.co/Hg0qwcc/1531012016517.jpg
https://archive.is/xO2z6/9b7ff1f9ff0...a6e1954b76.jpg

**VikLevaPatel** · 01-21-2022, 01:27 AM

Gedrosia K3 Oracle results:
Eurasia K3 Oracle

oracle2 .png
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Admix Results (sorted):

# Population Percent
1 W_Eurasian 58.8
2 E_Eurasian 39.92
3 SSA 1.28

https://www.theapricity.com/forum/sh...70#post7414370

**VikLevaPatel** · 02-10-2022, 12:54 AM

In many places, Shudras and Brahmins only differ by about 10%. I guess you could, as this poster has commented in response to the question "Gujarati brahmin has equal parts of baloch and south indian", "basically make a gujarati brahmin by mixing south indian tribal (irula, paniya) with baloch and some european from aryans sprinkled in."

AASI
Brahmin_Kashmir: 26.8
Brahmin_Uttar_Pradesh: 32.1
Brahmin_Gujarat: 34.6
Kshatriya: 35.1
Dharkar: 43.7
Velamas: 44.6
Piramalai: 49.4
Dusadh: 50.0
Chamar: 52.4

Average: 43.9

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Early_Indoeuropean:

Jatt_India 45.2
Pakistani_Pathan 35.6
Sikh 32.8
Kashmiri_Pandit 29.6
Brahmin_Uttar_Pradesh 28.8
Gypsy_Balkans 25.8
Nepali_Bahun 22.4
Iranian_Zoroastrian 19.4
Dalit_India 14.2
Kurdish 12.2
Azeri 10.8
Iraqi 6.2

Indian_Hunter_Gatherer:

Dalit_India 56.8
Brahmin_Uttar_Pradesh 40.8
Nepali_Bahun 32.6
Sikh 27.0
Kashmiri_Pandit 26.8
Jatt_India 22.0
Pakistani_Pathan 20.0
Gypsy_Balkans 19.6
Iranian_Zoroastrian 1.6
Iraqi 1.4
Azeri 0.8
Kurdish 0.2

https://i.ibb.co/tZn059P/1606219888455.png

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Sample of Spread of Communities India: caste1 (1).jpg

The Great Melting Pot: Map of genetic variations across Indian populations (From The Telegraph, based on IGV research): 0hKLL-iLHmkIm-5j2NhGpg5UOflEquN.jpg

Diversity of Indian Population. With the exception of Africa, such an extent of genetic diversity is not observed in comparable global regions. Indian population can be, to a large extent, substructured on the basis of their ethnic origin as well as linguistic lineages. All the four major morphological types- Caucasoid, Mongoloid, Australoid and Negrito, are present in the Indian population (Malhotra 1978).

India's Fragmented Society Was Once a Melting Pot

Genetic analysis finds evidence of massive intermarriage before caste system took hold

Beginning about 4200 years ago, ANI and ASI populations, which previously had kept mostly separate, began mating together, a flurry of intermarriage that probably lasted more than 2 millennia. Then, beginning about 1900 years ago or somewhat later, mating patterns shifted dramatically. Local populations became entrenched, eschewing intermarriage with other groups and adopting a cultural pattern of what researchers call endogamy, the practice of marrying only within an ethnic or social group. "The most remarkable aspect of the ANI-ASI mixture is how pervasive it was, in the sense that it has left its mark on nearly every group in India," Moorjani and her co-workers write. "The bulk of the Rig-Veda describes a society in which there is substantial movement among groups," Moorjani points out. The four-caste system is only mentioned in an appendix written much later, she says, consistent with the genetic evidence.

All Indians have some north, south in them: https://www.livemint.com/Home-Page/5...h-in-them.html

India occupies centre stage in human evolution. For the first time, dealing with prehistoric India through genetic tools, researchers also show that the ANI and ASI theory applies to traditional tribes as well as castes; one cannot be distinguished from the other. “The genetics proves that they are not systematically different and supports the view that castes grew directly out of tribal-like organizations during the formation of Indian society,," says Thangaraj.

See Also: https://www.theapricity.com/forum/sh...religion/page3

Major Ancestral Component: download.jpg 801cd120512b727b757df3256075a3d1185be8f2.png

Closest population distances (yourDNAportal, Your nMonte3 oracle results, Tolan K13M2): Kurmi 0.648949, Dharkar 0.736057, Brahmin 0.773731, Bengali 0.79296, Dalit 0.797211, Tamil 0.809394, Chamar 0.828219, Kol 0.885294.

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GEDmatch.Com Population Spreadsheet for HarappaWorld:

https://archive.is/snbbZ/801cd120512...d1185be8f2.png
https://i.ibb.co/s9ws3RF/screencaptu...22-02-10-0.png
https://archive.is/D7pUS/801cd120512...d1185be8f2.png

Capture: https://i.ibb.co/FK6r9N8/1632092662400.jpg, https://i.ibb.co/4WTMLVJ/Dui7kmc.png, https://i.ibb.co/f9qDQ65/1606135827726.png

HarappaWorld Admixture: https://docs.google.com/spreadsheets...dd4/edit#gid=0

Results from the program ADMIXTURE are highly volatile

As this anthrogenica forum user also points out, "I personally have never been a fan of the South Indian component coz it's so vague - lumps up AASI and ancient West and East Eurasian components."

Genoplot might be the best application yet

I’ve found Genoplot to be the most advanced application that is reasonably easy to learn and use. Let me try to highlight some of its more advanced features I mentioned in the previous article in a more of a “journey” flow.

https://archive.is/It4Ht#selection-441.150-441.373

Admix Results (sorted):
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https://i.ibb.co/f9hrh9y/screencapture-ap-1.png
https://i.ibb.co/yWPyrHD/screencapture-ap-2.png
https://i.ibb.co/WxMyR1t/screencapture-ap-3.png
https://i.ibb.co/TTT9XS7/screencapture-ap-4.png
https://i.ibb.co/R2pqb75/screencapture-app-ge.png

98.2% gujarati-a (hapmap) + 1.8% nepalese-b (xing) @ 0.98
93.1% gujarati-a (hapmap) + 6.9% nepalese-a (xing) @ 1.74
90.4% gujarati-a (hapmap) + 9.6% brahmin-uttar-pradesh (metspalu) @ 1.76
87.6% gujarati-a (hapmap) + 12.4% nepalese-c (xing) @ 1.8
91% gujarati-a (hapmap) + 9% bengali-brahmin (harappa) @ 1.8
85.2% gujarati-a (hapmap) + 14.8% gujarati (harappa) @ 1.81
89.3% gujarati-a (hapmap) + 10.7% vaish (reich) @ 1.81
87.8% gujarati-a (hapmap) + 12.2% up-kshatriya (metspalu) @ 1.83
84.4% gujarati-a (hapmap) + 15.6% ap-brahmin (xing) @ 1.86
92.1% gujarati-a (hapmap) + 7.9% up-brahmin (harappa) @ 1.86
95.5% gujarati-a (hapmap) + 4.5% haryana-jatt (harappa) @ 1.88
91.4% gujarati-a (hapmap) + 8.6% nepalese-a (xing) @ 1.89
88.4% gujarati-a (hapmap) + 11.6% brahmin-uttar-pradesh (metspalu) @ 1.96
82.3% gujarati-a (hapmap) + 17.7% gujarati (harappa) @ 2.04
90% gujarati-a (hapmap) + 10% up-brahmin (harappa) @ 2.04
94.3% gujarati-a (hapmap) + 5.7% haryana-jatt (harappa) @ 2.04
87.4% gujarati-a (hapmap) + 12.6% vaish (reich) @ 2.06
85% gujarati-a (hapmap) + 15% gujarati-b (hapmap) @ 2.07
85.5% gujarati-a (hapmap) + 14.5% up-kshatriya (metspalu) @ 2.08
89.7% gujarati-a (hapmap) + 10.3% bengali-brahmin (harappa) @ 2.1
94.8% gujarati-a (hapmap) + 5.2% burusho (hgdp) @ 2.12
92.8% gujarati-a (hapmap) + 7.2% punjabi-brahmin (harappa) @ 2.15
92.6% gujarati-a (hapmap) + 7.4% singapore-indian-c (sgvp) @ 2.16

Ancient human genomes suggest three ancestral populations for present-day Europeans: https://www.researchgate.net/publica...-day_Europeans

There is no reason why the original Indo-European tribes could not have been compounds who picked up different ancestral components in their peregrinations. Compare the various Turkic people, Anatolian Turks, Chuvash, and Yakut. All of them have affinities with nearby peoples, despite having a common Turkic culture and genetic component. The Ror and Jat peoples stand out for having the highest proportion of Steppe_MLBA ancestry (∼63%). The proportion of Steppe ancestry in the Ror is similar to that observed in present-day Northern Europeans. The Jatts of the eastern Punjab have a higher fraction of "NE Euro" than populations to their northwest (Pathans, Kalash, etc.), and Brahmin groups in their area who are theoretically higher in caste status. This violation of these two trends implies something not easily explained by straightforward social and geographic processes. The connection between ancestry and caste status also seems to break down somewhat in the Northwest, as there is a wide variation in ancestral components.

Proportions of Ancient Ancestry in South Asian Populations: 1-s2.0-S0002929718303987-gr3.jpg

qpAdm plot indicating proportions of ancestry made up of ancient sources (Iran_N, Steppe_MLBA, and Onge) among different South Asian populations.

Sintashta-related Ancestry: download.png

https://i.ibb.co/PjPnSCK/download.png

David Reich: Harappan ancestry is the single largest source population for almost all people in India today

The jati is a concept and what genetics are describing is a genetic features of a group, and not the thinking surrounding that group’s identity.

Some of the Indo-Europeans found? pcadag (1).png

Below is K = 10 for a selection of populations:

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Some general patterns are evident. The light blue is indicative of generic "Indian" ancestry. It is not found in appreciable proportions outside of subcontinental populations (or those of recent subcontinental origin). The same with the red, and light orange. The dark orange is a "Northern European" component, modal in Lithuania. The light and dark Green are both East Asian components. The dark blue is a "West Asian" component modal in Georgia, and prominent across Europe with declining as a function of distance from the eastern shore of the Black Sea (this is surely the West Asian which distinguishes the French from the French Basque).

The ASI were probably one of the ancient populations along the fringe of southern Eurasia, all of whom have been submerged by demographic movements from other parts of Eurasia over the past 10,000 years, excepting a few groups such as the Andaman Islanders and some Southeast Asian tribes.

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https://www.theapricity.com/forum/sh...nomelink/page4

South Indian = ASI (native south asian component. found highest in paniyas of kerala at 84% and lowest among jatts in northwest india at 25-30%)

https://archive.is/K6CPF#selection-3877.0-3877.144

Population S-Indian Baloch
andhra-pradesh 54.20 32.42
ap-brahmin 48.51 35.88
ap-hyderabad 51.98 31.89
ap-madiga 69.27 23.21
ap-mala 72.20 20.31
ap-reddy 53.65 36.44
balochi 13.54 54.09
bene-israel-jew 34.93 26.16
bengali 47.15 27.17
bengali 50.96 32.83
bengali-brahmin 41.85 33.17
bhatia 24.64 45.65
bhil 67.12 23.78
bhunjia 73.39 0.50
bihari-brahmin 39.13 37.51
bonda 63.20 0.00
brahmin-tn 46.73 37.60
brahmin-up 42.18 35.99
brahmin-uttchal 32.78 26.11
brahui 11.62 57.74
burmanese 16.82 3.04
burusho 23.25 40.96
carib-indian 51.26 30.28
chamar 66.47 25.69
cochin-jew 43.87 31.21
dhurwa 73.20 0.35
dusadh 59.69 31.36
fiji-indian 43% 30%
gadaba 64.79 0.00
goan 47.75 38.65
gond 65.87 16.97
g-andamanese 47.64 4.35
gujarati 45.83 38.12
gujarati-a 53.37 41.11
gujarati-a 53.86 41.81
gujarati-b 44.16 39.34
gujarati-muslim 32.64 36.34
gujarati-patel 54.54 41.39
hallaki 61.97 28.00
haryana-jatt 26.56 37.23
ho 69.50 0.94
irula 83.22 0.86
iyengar-brahm 47.78 36.93
iyer-brahmin 47.45 37.34
juang 62.99 0.00
kalash 21.64 43.46
karnataka 54.65 34.23
karnat-brahmin 45.91 35.31
kashmiri 29.93 37.03
kashmiri-pahari 33.99 41.44
kashmiri-pandit 32.41 39.31
kerala 46.59 32.69
kerala-brahmin 43.03 39.38
kerala-christian 48.47 34.44
kerala-muslim 51.58 31.46
kerala-nair 47.86 38.72
kharia 69.06 0.30
khmer-cambod 13.48 0.00
kol 61.20 29.76
kurmi 53.03 36.52
kurumba 60.71 31.25
kurumba 70.26 19.55
lambadi 52.10 33.81
lodi 59.02 31.70
madiga 69.83 24.12
maharashtrian 46.03 35.82
mala 72.93 20.65
malayan 75.49 9.50
mawasi 69.35 4.21
meena 42.04 41.36
meghawal 52.70 34.92
meghawal 45.46 37.49
naidu 61.14 30.95
nepali 31.95 33.24
nihali 71.66 11.05
nogai 0.70 14.38
north-kannadi 70.13 20.45
onge 50.85 0.00
paniya 83.99 0.00
pashtun 18.90 34.35
pathan 23.21 41.64
piramalai-kallar 62.55 30.06
pulliyar 83.21 0.03
punjabi 32.79 39.00
punjabi-arain 30.78 44.23
punj-brahmin 33.76 40.21
punj-jatt-mus 30.61 38.25
punj-jatt-sikh 27.94 40.02
piramalai-kallar 62.55 30.06
punjabi-khatri 28.82 38.66
punj-ramgarhia 34.42 41.52
pusht-brahmin 30.69 35.83
rajasthani 48.13 35.38
rajasth-brahmin 32.31 37.83
romanian-b 21.72 13.45
sahariya 63.75 10.89
sakilli 67.59 25.86
santhal 73.25 4.72
satnami 63.24 20.65
savara 68.71 0.00
siddi 15.67 10.18
sindhi 26.72 40.95
sindhi 28.92 46.18
sing-indian-a 61.95 30.24
sing-indian-b 50.39 36.00
sing-indian-c 33.68 40.72
sing-indian-d 27.81 14.27
sinhalese 57.03 31.54
sourastrian 52.86 31.53
s-african-indian 55.58 28.91
sri-lankan 51.01 28.39
srivastava 51.24 32.43
tajik 6.85 32.21
tamil 52.77 32.14
tamil-nadar 58.96 30.80
tn-scheduled-c 58.84 32.27
tamil-vellalar 58.85 33.30
t-vishwakarma 68.01 24.20
thai 14.40 2.38
tharu 53.82 33.54
tharu 58.32 22.8
tn-brahmin 46.76 37.63
tn-dalit 72.65 21.62
tharu 53.82 33.54
tharu 58.32 22.83
up 48.99 33.04
up-brahmin 39.54 37.13
up-kshatriya 45.09 36.82
up-muslim 34.56 34.07
up-muslim 53.31 32.65
up-scheduled-c 58.39 30.56
vaish 44.34 35.22
velama 56.68 35.86
vysya 64.11 31.69

The "ASI" model somewhat changed in that ASI now seems like something Eastern Non-African (rather than being some intermediate between West Eurasians and East Asians). Onges are probably somewhat better stand-ins than Paniyas since they seem to lack West Eurasian admixture entirely when Paniyas, despite looking to be mostly "Eastern Non-African", are definitely partly West Eurasian. Granted, even utilizing Onges won't really do as, while they're certainly related to whatever "ASI" is, they're definitely not exactly like it and some notable genetic drift has occurred between the two. Basically, we need ancient DNA if we're to really make things solid when dealing with ASI.

But regardless of which of the two models is true, most South Asians are mostly made up of Neolithic-Iranian-related ancestry, some form of Steppe ancestry and whatever ASI exactly is, alongside negligible, non-existent, or quite notable admixture from the likes of East Asian-related people and Africans depending on the population (i.e. Bengalis and their notable East/Southeast Asian-related ancestry). Things will definitely become more clear once ancient DNA starts flooding in from South Asia and I hear that's certainly in the works.

https://archive.is/Zh52D#selection-1059.1-1063.3