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View Full Version : Post Gedmatch MDLP K13,K23b,World and World22 nMonte results



jortita
04-30-2016, 12:13 PM
MDLP 13 nMonte results

Velamas 16.7
Telugu_Kannada 8.8
AP_Brahmin 6.15
Indian_Singapore 6.15
Kalash 5.45
Lambadi 4.9
GujaratiA_GIH 3.9
Kshatriya 2.8
Piramalai_Kallars 2.75
Pathan 2.6
Sakilli 2.3
Kol 1.75
Hakkipikki 1.65
Burusho 1.55
Tamil_Nadu_Scheduled_Caste 1.05
Naidu 0.9
Oroqen 0.9
TN_Dalit 0.9
Spiti 0.85
Yakut_Metspalu 0.85
Brahmins_from_Tamil_Nadu 0.8
AP_Madiga 0.75
Japani 0.7
Korean 0.7
Punjabi_Lahore_PJL 0.7
Scheduled_Caste_Tamil_Nadu 0.7
ChinaHan 0.65
Brahui 0.6
Hezhen 0.6
Hmong_Miao 0.55
Koreans 0.55
Gujarati_GIH 0.5
Icelandic 0.5
Nivh 0.5
Nivkh 0.5
Okinawan 0.5
Pahari 0.5
Han_Cantonese 0.45
Japanese 0.45
She 0.45
Vysya 0.45
Yukagir_Tundra 0.45
Bhili 0.4
Chinese_Hakka 0.4
Evens 0.4
Han_Singapore 0.4
Itelmen 0.4
Karelian 0.4
Mon 0.4
Nepalese 0.4
Tujia 0.4
Ami 0.35
Ami_Taiwan 0.35
Asur 0.35
Chinese_Minnan 0.35
Pulliyar 0.35
Southern_Han 0.35
Esan_Nigeria_ESN 0.3
Han_Mandarin 0.3
Tai_Yong 0.3
Yao_Iu_Mien 0.3
Atayal_Coriell 0.25
Ulchi 0.25
Basque_Spanish 0.2
Burmese 0.2
Dolgan 0.2
French_South 0.2
GujaratiD_GIH 0.2
Htin_Mal 0.2
Jinuo 0.2
Madou_Tibetian 0.2
Malay 0.2
Mandenka 0.2
Mansi 0.2
Orcadian 0.2
Savara 0.2
Thai 0.2
Uttar_Pradesh_Scheduled_Caste 0.2
Yakut 0.2
Yi 0.2
Ami_Coriell 0.15
Gond 0.15
Khasi 0.15
Kinh_Vietnam_KHV 0.15
Miao 0.15
Plang_Blang 0.15
Ati 0.1
Basque_French 0.1
Brong 0.1
Chenchu 0.1
Dhurwa 0.1
Even 0.1
Filipino_Tagalog 0.1
Hmong 0.1
Japanese-Tokyo 0.1
Jiamao 0.1
Kambera 0.1
Manggarai 0.1
Mawasi 0.1
Naxi 0.1
Nganassan 0.1
North_Kannadi 0.1
Norwegian 0.1
Paluang 0.1
Tai_Lue 0.1
TN_Brahmin 0.1
Xibo 0.1
Yoruban 0.1
AP_Mala 0.05
Bhunjia 0.05
Dusadh 0.05
Ho 0.05
Irula 0.05
Juang 0.05
Kamsali 0.05
Lebbo 0.05
Lodhi 0.05
Northern_Chinese 0.05
Selkup 0.05
Srivastava 0.05
Zhuang_N 0.05

MDLPK23b nMonte results

Vysya 24.4
Dargin_Urkarah 7.7
Velamas 6.1
GujaratiC_GIH 5.45
Aonaga 4.1
Kol 3.65
Avar 3.6
Lambadi 3.4
GujaratiD_GIH 3
Scheduled_Caste_UP 2.9
Lak 2.65
Burusho 2
Gond 2
Nysha 1.8
TN_Brahmin 1.8
Mozabite 1.75
Tujia 1.75
Kalash 1.7
Dusadh 1.65
Korean 1.6
Muslim_India 1.5
Japanese 1.45
Velama 1.25
Dhurwa 1.05
Han 1
Koinanbe 0.85
Miao 0.75
She 0.7
Naga 0.6
Han_North 0.5
Dai 0.45
Naxi 0.45
Papuan 0.45
Kuban_cossack 0.4
Sakilli 0.4
Vietnamese_south 0.4
Yi 0.4
Kanjar 0.35
Atayal_Coriell 0.3
Naidu 0.3
Tabassaran 0.3
Tajik_Tajikistan 0.3
Tubalar 0.25
GujaratiB_GIH 0.2
Kosipe 0.2
Chinese_Taiwan 0.15
Lezgin 0.15
Punjabi_Gujjar 0.15
Chenchu 0.1
Chinese_Dai 0.1
Eskimo_Chaplin 0.1
Eskimo_Naukan 0.1
Eskimo_Sireniki 0.1
Georgian_Svan 0.1
Igorot 0.1
Kharia 0.1
Kinh_Vietnam_KHV 0.1
Kshatriya 0.1
Lahu 0.1
Lithuanian 0.1
North_Ossetian 0.1
Brahmins_UP 0.05
Chamar 0.05
Hakkipikki 0.05
Hmong 0.05
Hmong_Miao 0.05
Pathan 0.05
Scheduled_Caste_Tamil_Nadu 0.05
Vietnamese 0.05
Vishwabrahmin 0.05

MDLP World nMonte results

Kusunda 28.6
Indian 19.85
Kalash 18.7
Jew_India 14.3
Burusho 8.85
Ajv52 5.05
Nganassan 1.8
Papuan 1
Welsh 0.7
Basque 0.35
Melanesian 0.25
Bra1 0.15
Norwegian_V 0.15
Pathan 0.1
British 0.1
Swedish 0.05

MDLP World 22

Hindu 48.45
Avar 11.35
Indian 9.95
Khmer 4.5
Japanese 4.35
Hezhen 2.5
Tujia 2.3
Pashtun 2
Burusho 1.75
Chinese-South 1.75
Sindhi 1.65
Abhkasian 1.3
Papuan 1.25
She 1.25
Han-Beijing 1.2
Saami 1.15
Pathan 1.1
Even 0.6
Daur 0.4
Oroqen 0.35
Lahu 0.3
Dai 0.15
Lak 0.15
Evenk 0.1
Miaozu 0.1
Nivhi 0.05

I find this a very interesting tool with interesting results that could be grouped into certain ancestry types as opposed to assuming them as individually correct in terms of ancestry

palamede
05-01-2016, 11:20 AM
I find it obscure because I don't know what is the nMonte component.

What are the nMonte results versus ASI (ancient south India) and ANI (ancient north India) components ?

I know Vellamas are in South India, Kusunda in Nepal and Vyshya dispersed in India.
https://en.wikipedia.org/wiki/Velama_(caste)
https://en.wikipedia.org/wiki/Vaishy
https://en.wikipedia.org/wiki/Kusunda_people

But Avars and Dargins are in Daghestan (North-East Caucasus)

Sikeliot
05-01-2016, 05:47 PM
Where does one access these calculators?

MitchellSince1893
05-01-2016, 07:39 PM
Where does one access these calculators?


Gedmatch.com

Sikeliot
05-01-2016, 09:14 PM
Gedmatch.com

They come up different for me, not with a long list of populations like this.

BalkanKiwi
05-01-2016, 10:18 PM
They come up different for me, not with a long list of populations like this.

nMonte isn't runned through Gedmatch. You need R to do it. There's a thread in the Autosomal area about it. I'm on my phone so I can't link you at the moment.

BalkanKiwi
05-01-2016, 10:51 PM
nMonte isn't runned through Gedmatch. You need R to do it. There's a thread in the Autosomal area about it. I'm on my phone so I can't link you at the moment.

Here we go, http://www.anthrogenica.com/showthread.php?6452-How-to-Use-nMonte&highlight=nmonte

jortita
05-02-2016, 08:28 AM
I find it obscure because I don't know what is the nMonte component.

What are the nMonte results versus ASI (ancient south India) and ANI (ancient north India) components ?

I know Vellamas are in South India, Kusunda in Nepal and Vyshya dispersed in India.
https://en.wikipedia.org/wiki/Velama_(caste)
https://en.wikipedia.org/wiki/Vaishy
https://en.wikipedia.org/wiki/Kusunda_people

But Avars and Dargins are in Daghestan (North-East Caucasus)

I thought I will share my Gedmatch results for your understanding

MDLP K13

Admix Results (sorted):

# Population Percent
1 ANE 41.48
2 ASI 27.8
3 EastAsian 16.79
4 Siberian 6.81
5 Oceanian 2.23
6 Subsaharian 1.93
7 WHG-UHG 1.25
8 ENF 0.94
9 Arctic 0.64
10 NearEast 0.13

Single Population Sharing:

# Population (source) Distance
1 Nepalese 5.08
2 Brahmins_from_Uttaranchal 10.17
3 Chenchu 11.24
4 Tharus 13.51
5 Lambadi 13.73
6 Tharu 13.75
7 Indian_Singapore 13.89
8 Bengali 13.97
9 Dusadh 14
10 Gond 14.2
11 Muslim 14.33
12 Hakkipikki 14.71
13 Piramalai_Kallars 14.72
14 Kurmi 14.82
15 Dharkar 14.92
16 Sakilli 15.19
17 Scheduled_Caste_UP 15.19
18 Uttar_Pradesh_Scheduled_Caste 15.21
19 Scheduled_Caste_Tamil_Nadu 15.31
20 North_Kannadi 15.33

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.1% Kshatriya + 30.9% Pahari @ 1.65
2 70.3% Meena + 29.7% Kusunda @ 1.71
3 81.2% Lambadi + 18.8% Mongol @ 1.8
4 68.3% Vaish + 31.7% Pahari @ 1.81
5 81.2% Marathi + 18.8% Japani @ 1.86
6 73% Tharus + 27% Spiti @ 1.86
7 81.1% Marathi + 18.9% Japanese @ 1.87
8 79.7% Marathi + 20.3% TTR_Tibetian @ 1.91
9 69.4% Brahmins_from_Tamil_Nadu + 30.6% Pahari @ 1.92
10 81.1% Marathi + 18.9% Japanese-Tokyo @ 1.93
11 80.9% Marathi + 19.1% Okinawan @ 1.96
12 77.3% Hindi + 22.7% TTR_Tibetian @ 1.96
13 66.6% Hindi + 33.4% Pahari @ 1.98
14 71% Dharkar + 29% Spiti @ 1.99
15 79.2% Marathi + 20.8% Madou_Tibetian @ 2
16 80% Marathi + 20% Nysha @ 2.01
17 83.2% Lambadi + 16.8% Xibo @ 2.03
18 81.3% Marathi + 18.7% Korean @ 2.05
19 69% Marathi + 31% Spiti @ 2.05
20 72.4% Kshatriya + 27.6% Kusunda @ 2.08

Least-squares method.

Using 1 population approximation:
1 Nepalese @ 5.370180
2 Brahmins_from_Uttaranchal @ 10.763251
3 Chenchu @ 11.673255
4 Tharu @ 14.389118
5 Tharus @ 14.429283
6 Indian_Singapore @ 14.567636
7 Dusadh @ 14.679611
8 Bengali @ 14.778618
9 Lambadi @ 14.806168
10 Gond @ 14.965336
11 Hakkipikki @ 15.278726
12 Piramalai_Kallars @ 15.416349
13 Muslim @ 15.454610
14 Sakilli @ 15.751387
15 Kurmi @ 15.913772
16 North_Kannadi @ 15.936852
17 Scheduled_Caste_UP @ 16.005733
18 Uttar_Pradesh_Scheduled_Caste @ 16.029133
19 Dharkar @ 16.082220
20 Scheduled_Caste_Tamil_Nadu @ 16.110153

Using 2 populations approximation:
1 50% Brahmins_from_Uttaranchal +50% Lambadi @ 3.400213


Using 3 populations approximation:
1 50% Brahmins_from_Tamil_Nadu +25% Nepalese +25% Pahari @ 1.458072


Using 4 populations approximation:
1 Brahmins_from_Uttar_Pradesh + Chenchu + Lambadi + Spiti @ 1.028503
2 Brahmins_from_Tamil_Nadu + Nepalese + Pahari + Vaish @ 1.227111
3 Brahmins_from_Uttar_Pradesh + Chenchu + Spiti + Tharus @ 1.284692
4 Marathi + Nepalese + Spiti + Telugu_Kannada @ 1.289079
5 Hindi + Naidu + Nepalese + Spiti @ 1.320529
6 Brahmins_from_Uttar_Pradesh + Chenchu + Kurmi + Spiti @ 1.334653
7 Brahmins_from_Uttar_Pradesh + Burusho + Kusunda + Sakilli @ 1.344346
8 Brahmins_from_Uttar_Pradesh + Burusho + Kusunda + North_Kannadi @ 1.380382
9 Brahmins_from_Uttar_Pradesh + Chenchu + Muslim + Spiti @ 1.384127
10 Gujarati_GIH + Nepalese + Spiti + Tamil_Nadu_Scheduled_Caste @ 1.396418
11 Gujarati_GIH + Nepalese + Scheduled_Caste_Tamil_Nadu + Spiti @ 1.396539
12 Brahmins_from_Uttar_Pradesh + Chenchu + Dharkar + Spiti @ 1.398475
13 Naidu + Nepalese + Spiti + Vaish @ 1.398759
14 Nepalese + Spiti + Telugu_Kannada + Velamas @ 1.425714
15 Nepalese + Spiti + Srivastava + Velamas @ 1.437444
16 Hindi + Kol + Nepalese + Spiti @ 1.440196
17 Marathi + Naidu + Nepalese + Spiti @ 1.443293
18 Brahmins_from_Tamil_Nadu + Naidu + Nepalese + Spiti @ 1.446352
19 Brahmins_from_Tamil_Nadu + Brahmins_from_Tamil_Nadu + Nepalese + Pahari @ 1.458072
20 Brahmins_from_Uttar_Pradesh + Burusho + Hakkipikki + Kusunda @ 1.461424

MDLPK23b

Admix Results (sorted):

# Population Percent
1 South_Indian 39.95
2 South_Central_Asian 22.11
3 South_East_Asian 10.26
4 Caucasian 7.66
5 Tungus-Altaic 4.86
6 Austronesian 3.78
7 European_Hunters_Gatherers 3.26
8 Ancestral_Altaic 2.88
9 Australoid 1.99
10 North_African 1.71
11 Arctic 0.66
12 Paleo_Siberian 0.42
13 East_Siberian 0.28
14 European_Early_Farmers 0.17

Single Population Sharing:

# Population (source) Distance
1 Tamil_Singapore ( ) 13.75
2 Hindi ( ) 14.34
3 Tiwari ( ) 14.88
4 Marathi ( ) 16.12
5 Nepalese ( ) 16.27
6 Jatt_Muslim ( ) 16.32
7 Vaish ( ) 16.64
8 Brahmin_Tamil ( ) 17.46
9 Brahmins_UP ( ) 17.49
10 GujaratiB_GIH ( ) 17.61
11 Dhaka_mixed_popul ( ) 18.12
12 Cochin_Jew ( ) 18.16
13 Jatt_Haryana ( ) 18.19
14 Kshatriya ( ) 18.22
15 Pakistani ( ) 19.06
16 GujaratiA_GIH ( ) 19.34
17 TN_Brahmin ( ) 19.57
18 Telugu_Kannada ( ) 20.41
19 Bengali ( ) 20.64
20 Jatt_Pahari ( ) 20.69

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.5% Tamil_Singapore ( ) + 23.5% Tajik_Tajikistan ( ) @ 5.18
2 83.6% Tamil_Singapore ( ) + 16.4% Nogai ( ) @ 5.39
3 75.2% Tamil_Singapore ( ) + 24.8% Tajik_Afghan ( ) @ 5.57
4 78.9% Tamil_Singapore ( ) + 21.1% Turkmen_Uzbekistan ( ) @ 5.7
5 64.8% Bengali_Bangladesh_BEB ( ) + 35.2% Tajik_Tajikistan ( ) @ 5.75
6 77.4% Tamil_Singapore ( ) + 22.6% Uzbek ( ) @ 5.81
7 63.4% Bengali_Bangladesh_BEB ( ) + 36.6% Uygur-Han ( ) @ 5.85
8 63.1% Lambadi ( ) + 36.9% Uygur-Han ( ) @ 6.08
9 80.9% Tamil_Singapore ( ) + 19.1% Crimean_Tatar_Step ( ) @ 6.1
10 65.6% Bengali_Bangladesh_BEB ( ) + 34.4% Uzbek ( ) @ 6.16
11 75.5% Tamil_Singapore ( ) + 24.5% Uzbek_Afghan ( ) @ 6.17
12 54% Scheduled_Caste_Tamil_Nadu ( ) + 46% Uygur-Han ( ) @ 6.19
13 85.5% Tamil_Singapore ( ) + 14.5% Lak ( ) @ 6.21
14 58.9% Velama ( ) + 41.1% Uygur-Han ( ) @ 6.23
15 54.9% Naidu ( ) + 45.1% Uygur-Han ( ) @ 6.24
16 85.2% Tamil_Singapore ( ) + 14.8% Stalskoe_Kumyk ( ) @ 6.26
17 85.5% Tamil_Singapore ( ) + 14.5% Dargin_Urkarah ( ) @ 6.27
18 85.7% Tamil_Singapore ( ) + 14.3% Tabassaran ( ) @ 6.29
19 86% Tamil_Singapore ( ) + 14% Azeri_Dagestan ( ) @ 6.31
20 85.9% Tamil_Singapore ( ) + 14.1% Lezgin ( ) @ 6.32

Least-squares method.

Using 1 population approximation:
1 Tamil_Singapore @ 11.589475
2 Hindi @ 14.666192
3 Nepalese @ 15.890247
4 Cochin_Jew @ 15.936448
5 Marathi @ 16.045166
6 Tiwari @ 16.236032
7 Vaish @ 16.951290
8 Dhaka_mixed_popul @ 17.213984
9 Jatt_Muslim @ 17.301437
10 Brahmins_UP @ 17.395048
11 Brahmin_Tamil @ 17.721869
12 Mumbai_Jew @ 18.087606
13 Kshatriya @ 18.105532
14 GujaratiB_GIH @ 18.235249
15 Bengali @ 19.301903
16 Jatt_Haryana @ 19.369118
17 Telugu_Kannada @ 19.512709
18 TN_Brahmin @ 19.590576
19 Pakistani @ 19.999075
20 Jatt_Pahari @ 20.431005

Using 2 populations approximation:
1 50% Hindi +50% Nepalese @ 6.061774


Using 3 populations approximation:
1 50% Jatt_Pahari +25% Santhal +25% Spiti @ 2.914338


Using 4 populations approximation:
1 Pahari + Pathan + Pathan + Santhal @ 2.787075
2 Pahari + Pashtun_Afghani + Punjabi_Gujjar + Santhal @ 2.791896
3 Dhurwa + Pahari + Pathan + Pathan @ 2.829135
4 Afghan_Pushtun + Pahari + Punjabi_Gujjar + Santhal @ 2.881880
5 Bhunjia + Pahari + Pathan + Pathan @ 2.894137
6 Jatt_Pahari + Jatt_Pahari + Santhal + Spiti @ 2.914338
7 GujaratiB_GIH + Kharia + Nepalese + Uzbek_Afghan @ 2.993536
8 Jatt_Pahari + Punjabi_Gujjar + Santhal + Spiti @ 2.999597
9 Dhurwa + Jatt_Pahari + Jatt_Pahari + Spiti @ 3.025810
10 Afghan_Pushtun + Brahmin_Tamil + Gond + Pahari @ 3.056894
11 Brahmin_Tamil + Kharia + Nepalese + Uzbek_Afghan @ 3.064718
12 Gond + Pahari + Pakistani + Pakistani_Pushtun @ 3.084133
13 Dhurwa + Pahari + Pathan + Punjabi_Gujjar @ 3.086292
14 Nihali + Pahari + Pakistani + Pashtun_Afghani @ 3.109395
15 Bhunjia + Jatt_Pahari + Jatt_Pahari + Spiti @ 3.117157
16 Dhurwa + Jatt_Pahari + Punjabi_Gujjar + Spiti @ 3.121723
17 Afghan_Pushtun + Nihali + Pahari + Pakistani @ 3.127236
18 GujaratiB_GIH + Kharia + Nepalese + Tajik_Afghan @ 3.127268
19 Bhunjia + Pahari + Pathan + Punjabi_Gujjar @ 3.130811
20 Pahari + Pakistani + Pashtun_Afghani + Santhal @ 3.133574

MDLP World

Admix Results (sorted):

# Population Percent
1 Indian 39.48
2 Caucaus_Parsia 24.39
3 East_Asian 17.13
4 North_and_East_European 6.96
5 South_and_West_European 4.02
6 North_Asian 3.79
7 Melanesian 2.31
8 Middle_East 1.37
9 Arctic_Amerind 0.54

Single Population Sharing:

# Population (source) Distance
1 Jew_India 20.16
2 Burusho 20.58
3 Indian 21.67
4 Sindhi 24.81
5 Pathan 25.28
6 Hazara 30.54
7 Balochi 30.63
8 Pashtun 30.7
9 Uzbek 31.5
10 Turkmen 33.35
11 Makrani 33.52
12 Roma 33.93
13 Tadjik 34.22
14 Parsi 34.45
15 Brahui 35.02
16 Uygur 35.02
17 Kalash 38.17
18 Kusunda 38.82
19 Karakalpak 39.71
20 Nogai 40.97

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.2% Indian + 37.8% Uygur @ 5.18
2 58.9% Indian + 41.1% Hazara @ 5.57
3 59.9% Indian + 40.1% Uzbek @ 6.86
4 61.2% Pathan + 38.8% Kusunda @ 7.45
5 61.7% Sindhi + 38.3% Kusunda @ 7.49
6 76.4% Jew_India + 23.6% Indian_East @ 7.61
7 78.6% Jew_India + 21.4% Tu @ 7.69
8 79.9% Jew_India + 20.1% Japanese @ 7.7
9 77.9% Jew_India + 22.1% Xibo @ 7.7
10 65.8% Indian + 34.2% Karakalpak @ 7.79
11 79.7% Jew_India + 20.3% Indian-East @ 7.85
12 66.7% Burusho + 33.3% Kusunda @ 7.88
13 75.8% Jew_India + 24.2% Buma @ 7.88
14 80.7% Jew_India + 19.3% Naxi @ 7.92
15 80.9% Jew_India + 19.1% Yizu @ 7.98
16 81.3% Jew_India + 18.7% Han-Beijing @ 8.07
17 81.5% Jew_India + 18.5% Han @ 8.21
18 78.1% Jew_India + 21.9% Khmer @ 8.27
19 81.9% Jew_India + 18.1% Tujia @ 8.31
20 82.1% Jew_India + 17.9% Chinese-South @ 8.41

Least-squares method.

Using 1 population approximation:
1 Jew_India @ 22.226395
2 Burusho @ 23.039408
3 Indian @ 24.097622
4 Sindhi @ 27.365927
5 Pathan @ 28.227119
6 Hazara @ 33.923569
7 Balochi @ 34.227173
8 Pashtun @ 34.406826
9 Uzbek @ 35.105808
10 Makrani @ 37.163910
11 Roma @ 37.360134
12 Turkmen @ 37.385426
13 Tadjik @ 38.410568
14 Parsi @ 38.436703
15 Uygur @ 38.969826
16 Brahui @ 39.207733
17 Brahui @ 39.207733
18 Kalash @ 42.899529
19 Kusunda @ 42.904610
20 Karakalpak @ 44.000973

Using 2 populations approximation:
1 50% Hazara +50% Indian @ 7.580522


Using 3 populations approximation:
1 50% Hazara +25% Indian +25% Indian @ 7.580522


Using 4 populations approximation:
1 Kusunda + Avar + Indian + Indian @ 3.511900
2 Kusunda + Tadjik + Indian + Jew_India @ 3.726942
3 Kusunda + Lak + Indian + Indian @ 3.734760
4 Kusunda + Indian + Indian + Tabassaran @ 3.852265
5 Kusunda + Lezgin + Indian + Indian @ 3.964323
6 Kusunda + Chechen + Indian + Indian @ 4.466927
7 Kusunda + Burusho + Pathan + Indian @ 4.817645
8 Kusunda + Burusho + Burusho + Indian @ 4.852537
9 Kusunda + Pashtun + Burusho + Indian @ 4.923569
10 Kusunda + Kumyk + Indian + Indian @ 4.986821
11 Kusunda + Ossetian + Indian + Indian @ 5.016240
12 Kusunda + NorthOssetian + Indian + Indian @ 5.035237
13 Kusunda + Kabardinian + Indian + Indian @ 5.170259
14 Kusunda + Adygei + Indian + Indian @ 5.175003
15 Kusunda + Balkarian + Indian + Indian @ 5.305474
16 Kusunda + Tadjik + Indian + Sindhi @ 5.318019
17 Kusunda + Tadjik + Burusho + Indian @ 5.404169
18 Kusunda + Pathan + Pathan + Indian @ 5.407864
19 Kusunda + Tadjik + Indian + Indian @ 5.417976
20 Kusunda + Pashtun + Indian + Jew_India @ 5.433299

MDLP World 22

Admix Results (sorted):

# Population Percent
1 Indian 36.03
2 West-Asian 22.95
3 East-South-Asian 16.21
4 North-East-European 5.28
5 East-Siberean 4.67
6 Indo-Iranian 4.32
7 North-European-Mesolithic 2.12
8 Atlantic_Mediterranean_Neolithic 1.94
9 Austronesian 1.8
10 Samoedic 1.4
11 North-Siberean 1.08
12 Indo-Tibetan 0.66
13 North-Amerind 0.57
14 Paleo-Siberian 0.53
15 Melanesian 0.4
16 Sub-Saharian 0.06

Single Population Sharing:

# Population (source) Distance
1 Burusho (derived) 18.12
2 Jew_India (derived) 19.16
3 Hindu (derived) 22.83
4 Sindhi (derived) 22.91
5 Pathan (derived) 23.29
6 Indian (derived) 25.31
7 Hazara (derived) 28.45
8 Balochi (derived) 28.54
9 Pashtun (derived) 29.02
10 Uzbek (derived) 29.57
11 Roma (derived) 30.29
12 Turkmen (derived) 31.54
13 Makrani (derived) 31.76
14 Tadjik (derived) 31.85
15 Uygur (derived) 31.89
16 Brahui (derived) 32.92
17 Parsi (derived) 32.98
18 Karakalpak (derived) 37.54
19 Nogai (derived) 38.82
20 Kazakh (derived) 41.75

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.8% Hindu (derived) + 41.2% Uygur (derived) @ 6.84
2 74.8% Jew_India (derived) + 25.2% Indian_East (derived) @ 7.16
3 79.1% Jew_India (derived) + 20.9% Naxi (derived) @ 7.39
4 78.8% Jew_India (derived) + 21.2% Indian-East (derived) @ 7.41
5 74.9% Jew_India (derived) + 25.1% Burma (derived) @ 7.42
6 79.4% Jew_India (derived) + 20.6% Yizu (derived) @ 7.45
7 77.2% Jew_India (derived) + 22.8% Tu (derived) @ 7.46
8 79.8% Jew_India (derived) + 20.2% Han-Beijing (derived) @ 7.49
9 78.6% Jew_India (derived) + 21.4% Japanese (derived) @ 7.57
10 80.3% Jew_India (derived) + 19.7% Han (derived) @ 7.64
11 56.2% Indian (derived) + 43.8% Uygur (derived) @ 7.69
12 80.8% Jew_India (derived) + 19.2% Tujia (derived) @ 7.79
13 53.2% Indian (derived) + 46.8% Hazara (derived) @ 7.91
14 81.2% Jew_India (derived) + 18.8% Chinese-South (derived) @ 7.98
15 76.9% Jew_India (derived) + 23.1% Xibo (derived) @ 8.02
16 81.6% Jew_India (derived) + 18.4% Miaozu (derived) @ 8.16
17 54.3% Indian (derived) + 45.7% Uzbek (derived) @ 8.24
18 81.9% Jew_India (derived) + 18.1% She (derived) @ 8.28
19 73.7% Hindu (derived) + 26.3% Tu (derived) @ 8.33
20 56.2% Hindu (derived) + 43.8% Hazara (derived) @ 8.62

Least-squares method.

Using 1 population approximation:
1 Burusho @ 20.411678
2 Jew_India @ 21.488453
3 Sindhi @ 25.583302
4 Hindu @ 25.701267
5 Pathan @ 26.338448
6 Indian @ 28.563511
7 Hazara @ 31.887072
8 Balochi @ 32.297276
9 Pashtun @ 32.843330
10 Uzbek @ 33.234165
11 Roma @ 33.630314
12 Turkmen @ 35.557503
13 Makrani @ 35.574997
14 Uygur @ 35.832958
15 Tadjik @ 36.074009
16 Parsi @ 37.205269
17 Brahui @ 37.323933
18 Karakalpak @ 42.080856
19 Nogai @ 43.829514
20 Kazakh @ 46.753712

Using 2 populations approximation:
1 50% Hazara +50% Indian @ 8.895084


Using 3 populations approximation:
1 50% Hindu +25% Indian_East +25% Pashtun @ 2.990460


Using 4 populations approximation:
1 Indian + Indian_East + Pashtun + Pashtun @ 2.388148
2 Hindu + Hindu + Indian_East + Pashtun @ 2.990460
3 Indian + Indian_East + Pashtun + Tadjik @ 3.052172
4 Indian + Balochi + Indian_East + Tadjik @ 3.164571
5 Burma + Hindu + Hindu + Pashtun @ 3.171052
6 Indian + Burma + Pashtun + Pashtun @ 3.209028
7 Indian + Burma + Pashtun + Tadjik @ 3.219790
8 Indian + Burma + Burusho + Lak @ 3.289712
9 Indian + Burusho + Indian_East + Lak @ 3.294992
10 Indian + Burusho + Indian_East + Tabassaran @ 3.340421
11 Indian + Brahui + Indian_East + Tadjik @ 3.366680
12 Indian + Burma + Burusho + Tabassaran @ 3.378757
13 Indian + Pashtun + Pathan + Tu @ 3.483669
14 Indian + Pashtun + Pashtun + Tu @ 3.496723
15 Indian + Burusho + Indian_East + Lezgin @ 3.527764
16 Indian + Burma + Burusho + Lezgin @ 3.548081
17 Indian + Indian_East + Pathan + Tadjik @ 3.588443
18 Indian + Avar + Burma + Burusho @ 3.617627
19 Hindu + Hindu + Indian_East + Pathan @ 3.639620
20 Indian + Indian_East + Sindhi + Tabassaran @ 3.655654

I think nMonte makes more sense for people with diverse mixed ancestral heritage such as me