South Asian HarappaWorld results

[pegasus]

C'mon lad. Some credit for generating those results would be nice

Im still waiting for those others boo boo

[aaronbee2010]

Im still waiting for those others boo boo

Here are some high quality Megiddo_MLBA samples just for you boo boo <3

I10263 - https://1drv.ms/u/s!AgPrvOv8RZyxp0QH...zt_ic?e=AClhah

119880/188173 loci (63.71%) used for this analysis

Components %
S-Indian 0.00
Baloch 10.07
Caucasian 46.33
NE-Euro 0.00
SE-Asian 1.06
Siberian 0.00
NE-Asian 0.53
Papuan 1.43
American 0.00
Beringian 0.00
Mediterranean 10.20
SW-Asian 28.64
San 0.00
E-African 0.27
Pygmy 0.00
W-African 1.48

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 407 populations found.
16 components mode.

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


Mixed Mode:
1 84.77% lebanese-christian + 15.23% saudi @ 2.853
2 66.02% samaritian + 33.98% iraqi-mandaean @ 3.055
3 79.30% samaritian + 20.70% kurd2 @ 3.116
4 79.30% samaritian + 20.70% iranian1 @ 3.139
5 58.20% samaritian + 41.80% iraq-jew @ 3.222
6 85.55% lebanese-christian + 14.45% bedouin @ 3.278
7 65.23% samaritian + 34.77% iranian-jew @ 3.299
8 80.86% lebanese-druze + 19.14% saudi @ 3.314
9 70.70% samaritian + 29.30% uzbekistan-jew @ 3.328
10 86.33% lebanese-christian + 13.67% qatari @ 3.362

Least-squares method.

Using 1 populations approximation
1 100% lebanese-christian @ 7.107
2 100% samaritian @ 7.155
3 100% syrian @ 7.946
4 100% lebanese-muslim @ 8.918
5 100% lebanese @ 8.928
6 100% lebanese-druze @ 9.120
7 100% jordanian @ 9.333
8 100% palestinian2 @ 9.431
9 100% iraq-jew @ 9.510
10 100% palestinian1 @ 9.687

Using 2 populations approximation
1 50% samaritian + 50% iraq-jew @ 3.467
2 50% samaritian + 50% syrian @ 4.141
3 50% samaritian + 50% iraqi-mandaean @ 4.240
4 50% samaritian + 50% iranian-jew @ 4.251
5 50% samaritian + 50% palestinian1 @ 4.271
6 50% palestinian2 + 50% iraq-jew @ 4.468
7 50% samaritian + 50% lebanese-muslim @ 4.651
8 50% lebanese-christian + 50% palestinian2 @ 4.756
9 50% lebanese-christian + 50% samaritian @ 4.925
10 50% lebanese-druze + 50% palestinian2 @ 5.019

Using 3 populations approximation
1 33% samaritian + 33% samaritian + 33% iraqi-mandaean @ 3.061
2 33% samaritian + 33% samaritian + 33% iranian-jew @ 3.315
3 33% samaritian + 33% samaritian + 33% uzbekistan-jew @ 3.448
4 33% samaritian + 33% samaritian + 33% iraq-jew @ 3.466
5 33% samaritian + 33% syrian + 33% iraq-jew @ 3.490
6 33% lebanese-christian + 33% samaritian + 33% syrian @ 3.823
7 33% samaritian + 33% samaritian + 33% iraqi-arab @ 3.830
8 33% azerbaijan-jew + 33% cypriot + 33% yemen-jew @ 3.833
9 33% lebanese-christian + 33% samaritian + 33% palestinian1 @ 3.935
10 33% samaritian + 33% syrian + 33% iranian-jew @ 3.982

Using 4 populations approximation
1 25% samaritian + 25% samaritian + 25% syrian + 25% iranian-jew @ 2.779
2 25% samaritian + 25% samaritian + 25% syrian + 25% iraq-jew @ 2.783
3 25% samaritian + 25% samaritian + 25% syrian + 25% iraqi-mandaean @ 2.904
4 25% samaritian + 25% samaritian + 25% samaritian + 25% kurd2 @ 3.346
5 25% samaritian + 25% samaritian + 25% samaritian + 25% iranian1 @ 3.388
6 25% samaritian + 25% samaritian + 25% samaritian + 25% uzbekistan-jew @ 3.450
7 25% samaritian + 25% samaritian + 25% syrian + 25% georgia-jew @ 3.471
8 25% samaritian + 25% samaritian + 25% syrian + 25% assyrian @ 3.492
9 25% samaritian + 25% samaritian + 25% samaritian + 25% iraqi-mandaean @ 3.527
10 25% samaritian + 25% samaritian + 25% samaritian + 25% kurd1 @ 3.581

I10270 - https://1drv.ms/u/s!AgPrvOv8RZyxp0Pc...O6ZYq?e=C4BUXh

121136/188173 loci (64.37%) used for this analysis

Components %
S-Indian 0.41
Baloch 10.70
Caucasian 46.90
NE-Euro 0.00
SE-Asian 1.16
Siberian 0.00
NE-Asian 0.00
Papuan 0.93
American 0.00
Beringian 0.00
Mediterranean 9.30
SW-Asian 29.03
San 0.00
E-African 0.00
Pygmy 0.38
W-African 1.19

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 407 populations found.
16 components mode.

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


Mixed Mode:
1 62.11% samaritian + 37.89% iraqi-mandaean @ 2.953
2 54.30% samaritian + 45.70% iraq-jew @ 3.161
3 61.33% samaritian + 38.67% iranian-jew @ 3.175
4 50.39% iraq-jew + 49.61% samaritian @ 3.245
5 77.73% samaritian + 22.27% kurd2 @ 3.439
6 63.67% azerbaijan-jew + 36.33% yemen-jew @ 3.462
7 84.77% lebanese-christian + 15.23% saudi @ 3.518
8 69.14% georgia-jew + 30.86% yemen-jew @ 3.580
9 77.73% samaritian + 22.27% iranian1 @ 3.605
10 80.86% lebanese-druze + 19.14% saudi @ 3.616

Least-squares method.

Using 1 populations approximation
1 100% lebanese-christian @ 7.498
2 100% samaritian @ 7.674
3 100% syrian @ 8.360
4 100% iraq-jew @ 8.922
5 100% lebanese-druze @ 9.311
6 100% lebanese-muslim @ 9.424
7 100% lebanese @ 9.821
8 100% palestinian1 @ 10.010
9 100% jordanian @ 10.192
10 100% palestinian2 @ 10.231

Using 2 populations approximation
1 50% samaritian + 50% iraq-jew @ 3.232
2 50% samaritian + 50% iraqi-mandaean @ 3.760
3 50% samaritian + 50% iranian-jew @ 3.776
4 50% iraq-jew + 50% palestinian2 @ 4.733
5 50% armenian3 + 50% yemen-jew @ 4.922
6 50% samaritian + 50% syrian @ 4.938
7 50% armenian + 50% yemen-jew @ 4.970
8 50% samaritian + 50% palestinian1 @ 5.027
9 50% palestinian2 + 50% iranian-jew @ 5.135
10 50% palestinian2 + 50% georgia-jew @ 5.297

Using 3 populations approximation
1 33% samaritian + 33% samaritian + 33% iraqi-mandaean @ 3.062
2 33% samaritian + 33% samaritian + 33% iranian-jew @ 3.319
3 33% samaritian + 33% syrian + 33% iraq-jew @ 3.659
4 33% georgia-jew + 33% georgia-jew + 33% yemen-jew @ 3.671
5 33% samaritian + 33% samaritian + 33% iraq-jew @ 3.679
6 33% azerbaijan-jew + 33% azerbaijan-jew + 33% yemen-jew @ 3.683
7 33% samaritian + 33% samaritian + 33% uzbekistan-jew @ 3.690
8 33% samaritian + 33% syrian + 33% iranian-jew @ 3.946
9 33% assyrian + 33% assyrian + 33% yemen-jew @ 4.146
10 33% assyrian + 33% druze + 33% yemen-jew @ 4.247

Using 4 populations approximation
1 25% iraq-jew + 25% iraq-jew + 25% lebanese-druze + 25% yemen-jew @ 2.927
2 25% samaritian + 25% samaritian + 25% syrian + 25% iranian-jew @ 3.071
3 25% samaritian + 25% samaritian + 25% syrian + 25% iraqi-mandaean @ 3.182
4 25% samaritian + 25% samaritian + 25% syrian + 25% iraq-jew @ 3.252
5 25% assyrian + 25% assyrian + 25% druze + 25% saudi @ 3.510
6 25% assyrian + 25% assyrian + 25% druze + 25% bedouin @ 3.527
7 25% samaritian + 25% samaritian + 25% samaritian + 25% kurd2 @ 3.532
8 25% samaritian + 25% samaritian + 25% samaritian + 25% iranian1 @ 3.721
9 25% samaritian + 25% samaritian + 25% samaritian + 25% iraqi-mandaean @ 3.791
10 25% samaritian + 25% samaritian + 25% syrian + 25% assyrian @ 3.823

[pegasus]

Here are some high quality Megiddo_MLBA samples just for you boo boo <3

I10263 - https://1drv.ms/u/s!AgPrvOv8RZyxp0QH...zt_ic?e=AClhah

119880/188173 loci (63.71%) used for this analysis

Components %
S-Indian 0.00
Baloch 10.07
Caucasian 46.33
NE-Euro 0.00
SE-Asian 1.06
Siberian 0.00
NE-Asian 0.53
Papuan 1.43
American 0.00
Beringian 0.00
Mediterranean 10.20
SW-Asian 28.64
San 0.00
E-African 0.27
Pygmy 0.00
W-African 1.48

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 407 populations found.
16 components mode.

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


Mixed Mode:
1 84.77% lebanese-christian + 15.23% saudi @ 2.853
2 66.02% samaritian + 33.98% iraqi-mandaean @ 3.055
3 79.30% samaritian + 20.70% kurd2 @ 3.116
4 79.30% samaritian + 20.70% iranian1 @ 3.139
5 58.20% samaritian + 41.80% iraq-jew @ 3.222
6 85.55% lebanese-christian + 14.45% bedouin @ 3.278
7 65.23% samaritian + 34.77% iranian-jew @ 3.299
8 80.86% lebanese-druze + 19.14% saudi @ 3.314
9 70.70% samaritian + 29.30% uzbekistan-jew @ 3.328
10 86.33% lebanese-christian + 13.67% qatari @ 3.362

Least-squares method.

Using 1 populations approximation
1 100% lebanese-christian @ 7.107
2 100% samaritian @ 7.155
3 100% syrian @ 7.946
4 100% lebanese-muslim @ 8.918
5 100% lebanese @ 8.928
6 100% lebanese-druze @ 9.120
7 100% jordanian @ 9.333
8 100% palestinian2 @ 9.431
9 100% iraq-jew @ 9.510
10 100% palestinian1 @ 9.687

Using 2 populations approximation
1 50% samaritian + 50% iraq-jew @ 3.467
2 50% samaritian + 50% syrian @ 4.141
3 50% samaritian + 50% iraqi-mandaean @ 4.240
4 50% samaritian + 50% iranian-jew @ 4.251
5 50% samaritian + 50% palestinian1 @ 4.271
6 50% palestinian2 + 50% iraq-jew @ 4.468
7 50% samaritian + 50% lebanese-muslim @ 4.651
8 50% lebanese-christian + 50% palestinian2 @ 4.756
9 50% lebanese-christian + 50% samaritian @ 4.925
10 50% lebanese-druze + 50% palestinian2 @ 5.019

Using 3 populations approximation
1 33% samaritian + 33% samaritian + 33% iraqi-mandaean @ 3.061
2 33% samaritian + 33% samaritian + 33% iranian-jew @ 3.315
3 33% samaritian + 33% samaritian + 33% uzbekistan-jew @ 3.448
4 33% samaritian + 33% samaritian + 33% iraq-jew @ 3.466
5 33% samaritian + 33% syrian + 33% iraq-jew @ 3.490
6 33% lebanese-christian + 33% samaritian + 33% syrian @ 3.823
7 33% samaritian + 33% samaritian + 33% iraqi-arab @ 3.830
8 33% azerbaijan-jew + 33% cypriot + 33% yemen-jew @ 3.833
9 33% lebanese-christian + 33% samaritian + 33% palestinian1 @ 3.935
10 33% samaritian + 33% syrian + 33% iranian-jew @ 3.982

Using 4 populations approximation
1 25% samaritian + 25% samaritian + 25% syrian + 25% iranian-jew @ 2.779
2 25% samaritian + 25% samaritian + 25% syrian + 25% iraq-jew @ 2.783
3 25% samaritian + 25% samaritian + 25% syrian + 25% iraqi-mandaean @ 2.904
4 25% samaritian + 25% samaritian + 25% samaritian + 25% kurd2 @ 3.346
5 25% samaritian + 25% samaritian + 25% samaritian + 25% iranian1 @ 3.388
6 25% samaritian + 25% samaritian + 25% samaritian + 25% uzbekistan-jew @ 3.450
7 25% samaritian + 25% samaritian + 25% syrian + 25% georgia-jew @ 3.471
8 25% samaritian + 25% samaritian + 25% syrian + 25% assyrian @ 3.492
9 25% samaritian + 25% samaritian + 25% samaritian + 25% iraqi-mandaean @ 3.527
10 25% samaritian + 25% samaritian + 25% samaritian + 25% kurd1 @ 3.581

I10270 - https://1drv.ms/u/s!AgPrvOv8RZyxp0Pc...O6ZYq?e=C4BUXh

121136/188173 loci (64.37%) used for this analysis

Components %
S-Indian 0.41
Baloch 10.70
Caucasian 46.90
NE-Euro 0.00
SE-Asian 1.16
Siberian 0.00
NE-Asian 0.00
Papuan 0.93
American 0.00
Beringian 0.00
Mediterranean 9.30
SW-Asian 29.03
San 0.00
E-African 0.00
Pygmy 0.38
W-African 1.19

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 407 populations found.
16 components mode.

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


Mixed Mode:
1 62.11% samaritian + 37.89% iraqi-mandaean @ 2.953
2 54.30% samaritian + 45.70% iraq-jew @ 3.161
3 61.33% samaritian + 38.67% iranian-jew @ 3.175
4 50.39% iraq-jew + 49.61% samaritian @ 3.245
5 77.73% samaritian + 22.27% kurd2 @ 3.439
6 63.67% azerbaijan-jew + 36.33% yemen-jew @ 3.462
7 84.77% lebanese-christian + 15.23% saudi @ 3.518
8 69.14% georgia-jew + 30.86% yemen-jew @ 3.580
9 77.73% samaritian + 22.27% iranian1 @ 3.605
10 80.86% lebanese-druze + 19.14% saudi @ 3.616

Least-squares method.

Using 1 populations approximation
1 100% lebanese-christian @ 7.498
2 100% samaritian @ 7.674
3 100% syrian @ 8.360
4 100% iraq-jew @ 8.922
5 100% lebanese-druze @ 9.311
6 100% lebanese-muslim @ 9.424
7 100% lebanese @ 9.821
8 100% palestinian1 @ 10.010
9 100% jordanian @ 10.192
10 100% palestinian2 @ 10.231

Using 2 populations approximation
1 50% samaritian + 50% iraq-jew @ 3.232
2 50% samaritian + 50% iraqi-mandaean @ 3.760
3 50% samaritian + 50% iranian-jew @ 3.776
4 50% iraq-jew + 50% palestinian2 @ 4.733
5 50% armenian3 + 50% yemen-jew @ 4.922
6 50% samaritian + 50% syrian @ 4.938
7 50% armenian + 50% yemen-jew @ 4.970
8 50% samaritian + 50% palestinian1 @ 5.027
9 50% palestinian2 + 50% iranian-jew @ 5.135
10 50% palestinian2 + 50% georgia-jew @ 5.297

Using 3 populations approximation
1 33% samaritian + 33% samaritian + 33% iraqi-mandaean @ 3.062
2 33% samaritian + 33% samaritian + 33% iranian-jew @ 3.319
3 33% samaritian + 33% syrian + 33% iraq-jew @ 3.659
4 33% georgia-jew + 33% georgia-jew + 33% yemen-jew @ 3.671
5 33% samaritian + 33% samaritian + 33% iraq-jew @ 3.679
6 33% azerbaijan-jew + 33% azerbaijan-jew + 33% yemen-jew @ 3.683
7 33% samaritian + 33% samaritian + 33% uzbekistan-jew @ 3.690
8 33% samaritian + 33% syrian + 33% iranian-jew @ 3.946
9 33% assyrian + 33% assyrian + 33% yemen-jew @ 4.146
10 33% assyrian + 33% druze + 33% yemen-jew @ 4.247

Using 4 populations approximation
1 25% iraq-jew + 25% iraq-jew + 25% lebanese-druze + 25% yemen-jew @ 2.927
2 25% samaritian + 25% samaritian + 25% syrian + 25% iranian-jew @ 3.071
3 25% samaritian + 25% samaritian + 25% syrian + 25% iraqi-mandaean @ 3.182
4 25% samaritian + 25% samaritian + 25% syrian + 25% iraq-jew @ 3.252
5 25% assyrian + 25% assyrian + 25% druze + 25% saudi @ 3.510
6 25% assyrian + 25% assyrian + 25% druze + 25% bedouin @ 3.527
7 25% samaritian + 25% samaritian + 25% samaritian + 25% kurd2 @ 3.532
8 25% samaritian + 25% samaritian + 25% samaritian + 25% iranian1 @ 3.721
9 25% samaritian + 25% samaritian + 25% samaritian + 25% iraqi-mandaean @ 3.791
10 25% samaritian + 25% samaritian + 25% syrian + 25% assyrian @ 3.823

Thanks , using this and those outliers and the G25/qpAdm proportions, a potential Indo Aryan ghost roughly looks like this , on the lines of kangju 121.

SI 3
Baloch 30
Caucasus 17
North Euro 38
Med 7



Admix Results (sorted):

# Population Percent
1 NE-Euro 40.93
2 Baloch 28.86
3 Caucasian 18.66
4 Mediterranean 5.54

[kaazi]

Naga (Northeast Indian tribe) the "NE-Asian" score is the highest so far; even more than the real Tibetans.
Admix Results (sorted):

# Population Percent
1 NE-Asian 84.58
2 Siberian 7.96
3 S-Indian 4.32
4 Papuan 1.69
5 SE-Asian 1.28
6 American 0.16

 

Single Population Sharing:

# Population (source) Distance
1 aonaga (reich) 1.41
2 naga (metspalu) 2.55
3 nysha (reich) 3.5
4 tibet (simonson) 7.51
5 japanese (xing) 12.15
6 han-nchina (hgdp) 13.08
7 tu (hgdp) 13.49
8 japanese (hgdp) 14.18
9 japanese (1000genomes) 15.79
10 japanese (hapmap) 15.97
11 naxi (hgdp) 17.17
12 yi (hgdp) 18.23
13 chinese-beijing (1000genomes) 19.26
14 chinese-beijing (hapmap) 19.4
15 xibo (hgdp) 22.47
16 mongola (hgdp) 26.65
17 tujia (hgdp) 31.95
18 chinese-american (hapmap) 32.36
19 hezhen (hgdp) 32.6
20 daur (hgdp) 33.66

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.2% aonaga (reich) + 2.8% japanese (1000genomes) @ 1.34
2 99.2% aonaga (reich) + 0.8% daur (hgdp) @ 1.39
3 99.3% aonaga (reich) + 0.7% hezhen (hgdp) @ 1.39
4 99.6% aonaga (reich) + 0.4% oroqen (hgdp) @ 1.4
5 99.8% aonaga (reich) + 0.2% evenki (rasmussen) @ 1.4
6 99.8% aonaga (reich) + 0.2% yakut (hgdp) @ 1.4
7 99.8% aonaga (reich) + 0.2% nganassan (rasmussen) @ 1.4
8 99.8% aonaga (reich) + 0.2% buryat (rasmussen) @ 1.4
9 99.5% aonaga (reich) + 0.5% xibo (hgdp) @ 1.41
10 99.6% aonaga (reich) + 0.4% mongola (hgdp) @ 1.41
11 99.9% aonaga (reich) + 0.1% dolgan (rasmussen) @ 1.41
12 99.9% aonaga (reich) + 0.1% tuvinian (rasmussen) @ 1.41
13 99.9% aonaga (reich) + 0.1% papuan (hgdp) @ 1.41
14 99.9% aonaga (reich) + 0.1% mongolian (rasmussen) @ 1.41
15 100% aonaga (reich) + 0% !kung (xing) @ 1.41
16 100% aonaga (reich) + 0% abhkasian (yunusbayev) @ 1.41
17 100% aonaga (reich) + 0% adygei (hgdp) @ 1.41
18 100% aonaga (reich) + 0% afar (pagani) @ 1.41
19 100% aonaga (reich) + 0% african-american (1000genomes) @ 1.41
20 100% aonaga (reich) + 0% african-caribbean (1000genomes) @ 1.41

[Tsakhur]

Is it ok to post SE Asians who have South Asian admixture here?

1. Burmese. Probably from Rakhine State in Western Myanmar. This is the one of the most South Asian-shifted SE Asian individual I have ever seen. She is approximately 40% South Asian in Dodecad K12b Vahaduo (managed to model her as almost 39% UP_Scheduled Caste or 40% Bengali-derived) and has almost 20% West Eurasian (which is one of the highest amount of Western admixture I have ever among SE Asians) in PuntDNAL K13 nmonte/Vahaduo (her Western ancestry is almost entirely Iran_N/BMAC). I'm not sure if she has recent Indian ancestry or her results just show the genetic variation and diversity within the Burmese.

Admix Results (sorted):

# Population Percent
1 NE-Asian 31.23
2 S-Indian 25.28
3 SE-Asian 23.63
4 Baloch 11.07
5 Siberian 3.69
6 Beringian 1.26
7 Papuan 1.13
8 NE-Euro 1.11
9 Mediterranean 0.95
10 Caucasian 0.39
11 E-African 0.25

 

Single Population Sharing:

# Population (source) Distance
1 khasi (chaubey) 12.01
2 burmanese (chaubey) 15.49
3 garo (chaubey) 17.36
4 nepalese-c (xing) 27.86
5 nepalese-b (xing) 28.35
6 great-andamanese (reich) 31.56
7 uyghur (hgdp) 33.52
8 onge (reich) 34.58
9 hazara (hgdp) 34.7
10 lahu (hgdp) 38.21
11 uzbek (behar) 38.69
12 bengali (harappa) 38.73
13 miao (hgdp) 39.97
14 kyrgyz (xing) 40.78
15 singapore-chinese (sgvp) 41.03
16 kyrgyz (hodoglugil) 41.11
17 chinese (xing) 41.35
18 kazakh (harappa) 41.36
19 vietnamese (xing) 41.37
20 thai (xing) 41.97

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 71.8% burmanese (chaubey) + 28.2% bengali (harappa) @ 2.96
2 76.2% burmanese (chaubey) + 23.8% dharkar (metspalu) @ 3
3 76.2% burmanese (chaubey) + 23.8% tharu (metspalu) @ 3.07
4 76.1% burmanese (chaubey) + 23.9% singapore-indian-b (sgvp) @ 3.1
5 77.7% burmanese (chaubey) + 22.3% gujarati-patel (harappa) @ 3.12
6 77.5% burmanese (chaubey) + 22.5% gujarati-a (1000genomes) @ 3.14
7 76.3% burmanese (chaubey) + 23.7% kanjar (metspalu) @ 3.14
8 76.5% burmanese (chaubey) + 23.5% karnataka (harappa) @ 3.16
9 75.3% burmanese (chaubey) + 24.7% up (harappa) @ 3.2
10 77.3% burmanese (chaubey) + 22.7% velama (metspalu) @ 3.2
11 76% burmanese (chaubey) + 24% up-muslim (metspalu) @ 3.24
12 75% burmanese (chaubey) + 25% kerala-muslim (harappa) @ 3.25
13 76.2% burmanese (chaubey) + 23.8% andhra-pradesh (harappa) @ 3.26
14 75.1% burmanese (chaubey) + 24.9% bihari (harappa) @ 3.27
15 75.9% burmanese (chaubey) + 24.1% ap-brahmin (xing) @ 3.29
16 76.6% burmanese (chaubey) + 23.4% ap-reddy (harappa) @ 3.32
17 77% burmanese (chaubey) + 23% lodi (reich) @ 3.32
18 75.2% burmanese (chaubey) + 24.8% caribbean-indian (harappa) @ 3.33
19 76.4% burmanese (chaubey) + 23.6% sinhalese (harappa) @ 3.35
20 76.1% burmanese (chaubey) + 23.9% iyengar-brahmin (harappa) @ 3.4

2. Thai. She is from Hat Yai in Southern Thailand. This probably the most South Asian-shifted Thai individual I have ever seen. She is around 30% South Asian (can be modelled as 30% Velama or almost 31% UP_Scheduled_Caste-like) and 14-15% West Eurasian (entirely Iran_N/BMAC) when modelling her Dodecad K12b results with Vahaduo.

Admix Results (sorted):

# Population Percent
1 SE-Asian 49.92
2 S-Indian 20.21
3 NE-Asian 14.81
4 Baloch 9.12
5 NE-Euro 1.53
6 Siberian 1.47
7 Papuan 1.24
8 E-African 0.92
9 American 0.79

 

Single Population Sharing:

# Population (source) Distance
1 thai (xing) 13.77
2 khmer-cambodian (xing) 16.13
3 cambodian (hgdp) 23.57
4 khasi (chaubey) 24.14
5 singapore-malay (sgvp) 25.6
6 lahu (hgdp) 28.23
7 kinh (1000genomes) 28.53
8 vietnamese (xing) 30.08
9 dai-chinese (1000genomes) 30.61
10 dai (hgdp) 30.94
11 burmanese (chaubey) 34.21
12 garo (chaubey) 37.35
13 iban (xing) 41.5
14 great-andamanese (reich) 42.03
15 onge (reich) 42.92
16 samoan (xing) 43.53
17 bonda (chaubey) 45.57
18 juang (chaubey) 45.62
19 tongan (xing) 47.07
20 miao (hgdp) 49.5

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.4% khmer-cambodian (xing) + 20.6% kerala-nair (harappa) @ 2.12
2 80.3% khmer-cambodian (xing) + 19.7% gujarati-a (hapmap) @ 2.17
3 79.1% khmer-cambodian (xing) + 20.9% gujarati (harappa) @ 2.17
4 80.2% khmer-cambodian (xing) + 19.8% gujarati-a (1000genomes) @ 2.2
5 79.2% khmer-cambodian (xing) + 20.8% gujarati-b (hapmap) @ 2.3
6 80.4% khmer-cambodian (xing) + 19.6% gujarati-patel (harappa) @ 2.31
7 79.3% khmer-cambodian (xing) + 20.7% iyer-brahmin (harappa) @ 2.38
8 79.2% khmer-cambodian (xing) + 20.8% brahmin-tamil-nadu (metspalu) @ 2.43
9 79.3% khmer-cambodian (xing) + 20.7% iyengar-brahmin (harappa) @ 2.45
10 79.2% khmer-cambodian (xing) + 20.8% tn-brahmin (xing) @ 2.45
11 79.1% khmer-cambodian (xing) + 20.9% meghawal (reich) @ 2.45
12 79.1% khmer-cambodian (xing) + 20.9% ap-brahmin (xing) @ 2.46
13 79% khmer-cambodian (xing) + 21% up-kshatriya (metspalu) @ 2.51
14 79.2% khmer-cambodian (xing) + 20.8% singapore-indian-b (sgvp) @ 2.56
15 78.7% khmer-cambodian (xing) + 21.3% karnataka-brahmin (harappa) @ 2.58
16 78.9% khmer-cambodian (xing) + 21.1% maharashtrian (harappa) @ 2.58
17 79.1% khmer-cambodian (xing) + 20.9% rajasthani (harappa) @ 2.65
18 79.7% khmer-cambodian (xing) + 20.3% ap-reddy (harappa) @ 2.73
19 78.9% khmer-cambodian (xing) + 21.1% vaish (reich) @ 2.76
20 79.4% khmer-cambodian (xing) + 20.6% dharkar (metspalu) @ 2.84

[GenoPlot]

Given the importance of the Harappaworld calculator to the South/South-Central Asian community, we felt that it would be useful to have a central repository for Harappaworld results for public samples. For phase 1 of this effort, We've made approximately 5000 public samples (Including all HGDP groups) available on Genoplot for admixture analysis. These can be processed with any of the 80 odd calculators we have available. In addition, we will be enabling a subset of these calculators (HarappaWorld, Eurogenes K13 & K36, MDLPWorld22 among others) for full nMonte processing similar to Global 25 nMonte modelling. Global 25 remains the gold standard, however there are many instances where it can be helpful to utilize admixture based modeling.

We will continue to add more public samples with the goal of providing a one-stop-shop for all publicly available genomic data.

As an example, here are the PJL samples from the 1000 Genomes project

Genoplot

 

[Tsakhur]

Naga (Northeast Indian tribe) the "NE-Asian" score is the highest so far; even more than the real Tibetans.
Admix Results (sorted):

# Population Percent
1 NE-Asian 84.58
2 Siberian 7.96
3 S-Indian 4.32
4 Papuan 1.69
5 SE-Asian 1.28
6 American 0.16

 

Single Population Sharing:

# Population (source) Distance
1 aonaga (reich) 1.41
2 naga (metspalu) 2.55
3 nysha (reich) 3.5
4 tibet (simonson) 7.51
5 japanese (xing) 12.15
6 han-nchina (hgdp) 13.08
7 tu (hgdp) 13.49
8 japanese (hgdp) 14.18
9 japanese (1000genomes) 15.79
10 japanese (hapmap) 15.97
11 naxi (hgdp) 17.17
12 yi (hgdp) 18.23
13 chinese-beijing (1000genomes) 19.26
14 chinese-beijing (hapmap) 19.4
15 xibo (hgdp) 22.47
16 mongola (hgdp) 26.65
17 tujia (hgdp) 31.95
18 chinese-american (hapmap) 32.36
19 hezhen (hgdp) 32.6
20 daur (hgdp) 33.66

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.2% aonaga (reich) + 2.8% japanese (1000genomes) @ 1.34
2 99.2% aonaga (reich) + 0.8% daur (hgdp) @ 1.39
3 99.3% aonaga (reich) + 0.7% hezhen (hgdp) @ 1.39
4 99.6% aonaga (reich) + 0.4% oroqen (hgdp) @ 1.4
5 99.8% aonaga (reich) + 0.2% evenki (rasmussen) @ 1.4
6 99.8% aonaga (reich) + 0.2% yakut (hgdp) @ 1.4
7 99.8% aonaga (reich) + 0.2% nganassan (rasmussen) @ 1.4
8 99.8% aonaga (reich) + 0.2% buryat (rasmussen) @ 1.4
9 99.5% aonaga (reich) + 0.5% xibo (hgdp) @ 1.41
10 99.6% aonaga (reich) + 0.4% mongola (hgdp) @ 1.41
11 99.9% aonaga (reich) + 0.1% dolgan (rasmussen) @ 1.41
12 99.9% aonaga (reich) + 0.1% tuvinian (rasmussen) @ 1.41
13 99.9% aonaga (reich) + 0.1% papuan (hgdp) @ 1.41
14 99.9% aonaga (reich) + 0.1% mongolian (rasmussen) @ 1.41
15 100% aonaga (reich) + 0% !kung (xing) @ 1.41
16 100% aonaga (reich) + 0% abhkasian (yunusbayev) @ 1.41
17 100% aonaga (reich) + 0% adygei (hgdp) @ 1.41
18 100% aonaga (reich) + 0% afar (pagani) @ 1.41
19 100% aonaga (reich) + 0% african-american (1000genomes) @ 1.41
20 100% aonaga (reich) + 0% african-caribbean (1000genomes) @ 1.41

Wow looks like he/she has no West Eurasian whatsoever. Even the S-Indian could be something Onge or AASI rather than actual Indian ancestry.

Its fascinating how SE Asians who lives further away from the subcontinent have more actual South Asian and West Eurasian ancestry than the Nagas and many Tibeto-Burman tribes of the NE India.

Btw, I heard that the S-Indian component on Harappa is around 40-50% West Eurasian, is that true? Especially for individuals that have actual South Asian ancestry?

[Samand]

Btw, I heard that the S-Indian component on Harappa is around 40-50% West Eurasian, is that true? Especially for individuals that have actual South Asian ancestry?

Curious to know this as well. That would mean groups like Paniya have even less AASI and are more western sifted than we thought.

[davit]

Curious to know this as well. That would mean groups like Paniya have even less AASI and are more western sifted than we thought.

Obviously uniparental markers are not the best indicators for autosomal ancestry but I feel like even 10 years ago on other anthro forums, people pointed out this was likely the case given how ubiquitous y H and mt R is in the subcontinent. It wouldn't surprise me if the coastal migration theory is wrong and those might have actually been part of the first population to settle some parts of the subcontinent.

[Kapisa]

Harrappa world Fst score for S Indian component:

C1
S Indian
Baloch 0.08
Caucasian 0.077
NE Euro 0.082
SE Asian 0.084
Siberian 0.093
NE Asian 0.081
Papuan 0.145
American 0.128
Beringian 0.116
Mediterranean 0.095
SW Asian 0.091
San 0.203
E African 0.122
Pygmy 0.188
W African 0.142

Attachment 41541