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Anthropology, Population Genetics & Human Evolution
Last Post by Chăm Pa King 3 years ago
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Qamzardaan
 Qamzardaan
(@qamzardaan)
Posts: 487
Reputable Member
Topic starter
 

@naval 

He is not half Black though as he has only 13-15% African blood based on his DNA results. He is definitely not half Indian either coz then he won't score any Black at all. 

Its more like his half non-Malay side is a multigenerational Swahili (East African) mix between Bantu African and Indian ancestries.

 

 
Posted : 24/09/2021 6:42 pm
dyno avatar
 Dyno-Mite
(@dyno)
Posts: 1462
Noble Member
 

indian 

image
 
Posted : 24/09/2021 10:06 pm
jason
 jason
(@jason)
Posts: 813
Prominent Member
 

@qamzardaan 

post the DNA results

 
Posted : 25/09/2021 5:43 pm
Qamzardaan
 Qamzardaan
(@qamzardaan)
Posts: 487
Reputable Member
Topic starter
 

@dyno 

I see. OP is not Indian though. More like his half is a multigenerational Indian-Black mix.

 
Posted : 26/09/2021 4:13 pm
Dyno-Mite reacted
Qamzardaan
 Qamzardaan
(@qamzardaan)
Posts: 487
Reputable Member
Topic starter
 

@jason 

His DNA results. He has around 14% Black blood based on the calculators. The rest of him seem to be a mix of Malay and Indian (can be seen from the Indian components+ Caucasoid components except SW_Asian). The minor SW_Asian he score could be a sign of distant Arab ancestry as well. What's strange is he also scores around 1-3% Amerindian which is very atypical because most Asians don't score any Native at all. Some distant ancestors from Lat Am to Malaysia? I'm not sure.

Eurogenes K13:

Spoiler

Admix Results (sorted):

# Population Percent
1 East_Asian 32.74
2 South_Asian 27.54
3 Sub-Saharan 10.06
4 West_Asian 6.65
5 East_Med 6.23
6 Northeast_African 3.86
7 Oceanian 3.78
8 Baltic 3.49
9 Amerindian 2.71
10 Red_Sea 2.47
11 North_Atlantic 0.47

Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Uygur @ 33.873344
2 Tibeto-Burman_Burmese @ 35.222504
3 Aghan_Hazara @ 36.563332
4 Hazara @ 36.902599
5 Uzbeki @ 38.410252
6 Afghan_Tadjik @ 42.130661
7 Bangladeshi @ 42.643982
8 Afghan_Turkmen @ 44.482792
9 Malay @ 44.632648
10 Burusho @ 44.825333
11 Austroasiatic_Ho @ 45.012970
12 Tadjik @ 45.491833
13 Turkmen @ 45.671413
14 Kirgiz @ 47.640308
15 Kazakh @ 47.968597
16 Pathan @ 48.053238
17 Cambodian @ 48.078434
18 Brahmin_UP @ 48.318550
19 Afghan_Pashtun @ 48.451668
20 Nogay @ 48.557716

Using 2 populations approximation:
1 50% Brahmin_UP +50% Malay @ 16.979757

Using 3 populations approximation:
1 50% Malay +25% Sandawe +25% Velamas @ 11.068487

Using 4 populations approximation:

1 Austroasiatic_Ho + Dai + Pathan + Sandawe @ 10.792130
2 Malay + Sandawe + Tibeto-Burman_Burmese + Velamas @ 10.879148
3 Austroasiatic_Ho + Burusho + Dai + Mozabite_Berber @ 10.956972
4 Austroasiatic_Ho + Burusho + Dai + Sandawe @ 10.960311
5 Austroasiatic_Ho + Burusho + Dai + Tunisian @ 10.977677
6 Algerian + Austroasiatic_Ho + Burusho + Dai @ 11.035577
7 Kanjar + Malay + Sandawe + Tibeto-Burman_Burmese @ 11.044782
8 Dusadh + Malay + Sandawe + Tibeto-Burman_Burmese @ 11.049072
9 Malay + Malay + Sandawe + Velamas @ 11.068487
10 Malay + Piramalai + Sandawe + Tibeto-Burman_Burmese @ 11.079962
11 Kol + Malay + Sandawe + Tibeto-Burman_Burmese @ 11.160405
12 Malay + North_Kannadi + Sandawe + Tibeto-Burman_Burmese @ 11.173386
13 Austroasiatic_Ho + Dai + Punjabi_Jat + Sandawe @ 11.176837
14 Kurumba + Malay + Sandawe + Tibeto-Burman_Burmese @ 11.178191
15 Malay + Piramalai + Tibeto-Burman_Burmese + Tunisian @ 11.211700
16 Egyptian + Malay + North_Kannadi + Tibeto-Burman_Burmese @ 11.216747
17 Afghan_Pashtun + Austroasiatic_Ho + Dai + Sandawe @ 11.224926
18 Malay + Malay + Piramalai + Tunisian @ 11.241519
19 Malay + Tibeto-Burman_Burmese + Tunisian + Velamas @ 11.254149
20 Kanjar + Malay + Tibeto-Burman_Burmese + Tunisian @ 11.256905

HarappaWorld

Spoiler

Admix Results (sorted):

# Population Percent
1 SE-Asian 28.41
2 S-Indian 20.21
3 Baloch 10.66
4 W-African 9.37
5 Caucasian 7.13
6 NE-Asian 6.47
7 E-African 3.51
8 Papuan 3.13
9 NE-Euro 2.85
10 American 2.59
11 SW-Asian 2.41
12 Beringian 1.23
13 Mediterranean 1.01
14 San 0.61
15 Pygmy 0.42

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

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

Least-squares method.

Using 1 population approximation:
1 khasi_chaubey @ 24.326149
2 great-andamanese_reich @ 33.340561
3 thai_xing @ 36.611958
4 onge_reich @ 36.838833
5 burmanese_chaubey @ 39.231590
6 nepali_harappa @ 39.572918
7 nepalese-c_xing @ 39.612736
8 romanian-b_behar @ 39.960861
9 khmer-cambodian_xing @ 40.098602
10 bengali_harappa @ 40.406437
11 bene-israel-jew_behar @ 40.531979
12 up-muslim_harappa @ 40.729607
13 brahmin-uttaranchal_metspalu @ 40.948811
14 pashtun_harappa @ 41.039440
15 pushtikar-brahmin_harappa @ 41.236359
16 gujarati-muslim_harappa @ 41.746941
17 kashmiri_harappa @ 42.393272
18 garo_chaubey @ 42.401726
19 punjabi-jatt-muslim_harappa @ 42.759350
20 cochin-jew_behar @ 42.981487

Using 2 populations approximation:
1 50% bene-israel-jew_behar +50% khmer-cambodian_xing @ 12.860805

Using 3 populations approximation:
1 50% khmer-cambodian_xing +25% punjabi-khatri_harappa +25% siddi_reich @ 7.560763

Using 4 populations approximation:

1 bene-israel-jew_behar + iban_xing + khasi_chaubey + siddi_reich @ 5.722078
2 bene-israel-jew_behar + siddi_reich + thai_xing + thai_xing @ 5.929850
3 iban_xing + onge_reich + siddi_reich + turkmen_yunusbayev @ 6.204064
4 iban_xing + onge_reich + siddi_reich + tajik_yunusbayev @ 6.220841
5 bene-israel-jew_behar + khmer-cambodian_xing + siddi_reich + thai_xing @ 6.232644
6 gujarati-muslim_harappa + iban_xing + khasi_chaubey + siddi_reich @ 6.347230
7 iban_xing + kashmiri_harappa + khasi_chaubey + siddi_reich @ 6.529783
8 iban_xing + khasi_chaubey + pashtun_harappa + siddi_reich @ 6.549669
9 gujarati-muslim_harappa + siddi_reich + thai_xing + thai_xing @ 6.606369
10 iban_xing + khasi_chaubey + punjabi-khatri_harappa + siddi_reich @ 6.627840
11 bene-israel-jew_behar + khasi_chaubey + siddi_reich + singapore-malay_sgvp @ 6.634600
12 iban_xing + onge_reich + pashtun_harappa + siddi_reich @ 6.650979
13 khasi_chaubey + pashtun_harappa + siddi_reich + singapore-malay_sgvp @ 6.694679
14 iban_xing + khasi_chaubey + punjabi-jatt-muslim_harappa + siddi_reich @ 6.750202
15 iban_xing + khasi_chaubey + siddi_reich + up-muslim_harappa @ 6.762680
16 great-andamanese_reich + iban_xing + siddi_reich + turkmen_yunusbayev @ 6.769505
17 gujarati-muslim_harappa + khmer-cambodian_xing + siddi_reich + thai_xing @ 6.810806
18 siddi_reich + thai_xing + thai_xing + up-muslim_harappa @ 6.852065
19 bene-israel-jew_behar + khmer-cambodian_xing + khmer-cambodian_xing + siddi_reich @ 6.868427
20 bonda_chaubey + dai_hgdp + siddi_reich + tajik_yunusbayev @ 6.885426

MDLP K16

Admix Results (sorted):

# Population Percent
1 SouthEastAsian 36.37
2 Indian 27.93
3 Caucasian 8.35
4 Subsaharian 8.29
5 EastAfrican 5.51
6 Australian 4.34
7 NorthEastEuropean 1.87
8 Oceanic 1.45
9 Amerindian 1.4
10 NearEast 1.22
11 Ancestor 1.04
12 NorthAfrican 0.95
13 Neolithic 0.67
14 Steppe 0.61

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

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

Least-squares method.

Using 1 population approximation:
1 Great_Andamanese_Andaman_Islands @ 17.302668
2 Onge_Andaman_Islands @ 18.797245
3 Khasi_Meghalaya @ 20.565712
4 Bonda_Malkangiriย  @ 21.930302
5 Juang_Odisha @ 22.300777
6 Gadaba_Odisha @ 23.815447
7 Kusunda_Nepal @ 24.091536
8 Brahmin_Uttaranchal @ 24.642595
9 Kharia_Bihar @ 25.462133
10 Munda_Tripura @ 25.707363
11 Ho_Jharkhand @ 27.556051
12 Savara_Odisha @ 28.050287
13 Aeta_Philippines @ 29.444546
14 Dhurwa_Orissa @ 29.600719
15 Bhunjia_Odisha @ 29.947500
16 Mawasi_Maharashtra @ 30.149984
17 Tamang_Nepal @ 30.846045
18 Burmese_Burma @ 32.168949
19 Batak_Philippines @ 32.457661
20 Garo_Meghalaya @ 32.762951

Using 2 populations approximation:
1 50% Bajo_Indonesia +50% Jatt_Muslim @ 10.833376

Using 3 populations approximation:
1 50% Dhurwa_Orissa +25% Lebbo_Borneo +25% Yemeni_Yemen @ 6.855517

Using 4 populations approximation:

1 Atajal_Taiwan + Brahmin_Tamil_Nadu + Juang_Odisha + Maasai_Ayodo @ 6.266289
2 Atajal_Taiwan + Juang_Odisha + Maasai_Ayodo + Meena_Rajasthan @ 6.286015
3 Ami_Taiwan + Brahmin_Tamil_Nadu + Juang_Odisha + Maasai_Ayodo @ 6.318568
4 Ami_Taiwan + Juang_Odisha + Maasai_Ayodo + Meena_Rajasthan @ 6.351693
5 Dai_Xishuangbanna + Juang_Odisha + Maasai_Ayodo + Meena_Rajasthan @ 6.366147
6 Brahmin_Tamil_Nadu + Dai_Xishuangbanna + Juang_Odisha + Maasai_Ayodo @ 6.417470
7 Atajal_Taiwan + Juang_Odisha + Maasai_Ayodo + Gujjar_Punjab @ 6.430961
8 Atajal_Taiwan + Juang_Odisha + Kanjars_Punjab + Maasai_Ayodo @ 6.459746
9 Ami_Taiwan + Juang_Odisha + Maasai_Ayodo + Gujjar_Punjab @ 6.484046
10 Dai_Xishuangbanna + Juang_Odisha + Maasai_Ayodo + Gujjar_Punjab @ 6.486703
11 Ami_Taiwan + Juang_Odisha + Kanjars_Punjab + Maasai_Ayodo @ 6.497404
12 Atajal_Taiwan + Juang_Odisha + Maasai_Ayodo + Sindhi_Sindh @ 6.507274
13 Atajal_Taiwan + Juang_Odisha + Kalash_Khyber_Pakhtunkhwa + Maasai_Ayodo @ 6.528138
14 Ami_Taiwan + Juang_Odisha + Maasai_Ayodo + Sindhi_Sindh @ 6.578281
15 Dai_Xishuangbanna + Juang_Odisha + Kanjars_Punjab + Maasai_Ayodo @ 6.608021
16 Atajal_Taiwan + Bonda_Malkangiriย  + Brahmin_Tamil_Nadu + Maasai_Ayodo @ 6.618676
17 Atajal_Taiwan + Juang_Odisha + Lambadi_Karnataka + Maasai_Ayodo @ 6.622448
18 Atajal_Taiwan + Juang_Odisha + Maasai_Ayodo + Srivastava_India @ 6.622737
19 Ami_Taiwan + Juang_Odisha + Kalash_Khyber_Pakhtunkhwa + Maasai_Ayodo @ 6.625443
20 Atajal_Taiwan + Juang_Odisha + Marwadi_Rajasthan + Maasai_Ayodo @ 6.627076

PuntDNAL K13:

Spoiler

Admix Results (sorted):

# Population Percent
1 SE_Asia 22.53
2 South_Asia 22.23
3 West_Asia 12.69
4 NE_Asia 11.81
5 West_Africa 10.18
6 SW_Asia 5.42
7 Oceania 4.06
8 NE_Europe 3.57
9 East_Africa 2.65
10 Americas 1.84
11 South_Africa 1.45
12 SW_Europe 1.45
13 Siberia 0.13

Finished reading population data. 191 populations found.

13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Thai @ 33.888721
2 Cambodian @ 36.091736
3 Afghan_Uzbeki @ 37.233261
4 Burusho @ 37.633976
5 Afghan_Hazara @ 39.698559
6 Bengali @ 40.224552
7 Kashmir_Pandit @ 40.895245
8 Romani @ 41.154270
9 Tadjik @ 41.159969
10 Malayan @ 41.495594
11 Sindhi @ 42.353725
12 Afghan_Pashtun @ 42.492687
13 Pathan @ 42.518505
14 Pakistan_Pashtun @ 42.541615
15 Gond @ 43.297600
16 Punjabi @ 43.643173
17 Burmese @ 43.787792
18 Nogay @ 43.789478
19 Mawasi @ 43.943127
20 Makrani @ 44.028713

Using 2 populations approximation:
1 50% Malayan +50% Sindhi @ 14.718004

Using 3 populations approximation:
1 50% Cambodian +25% Fulani +25% Velamas @ 8.673471

Using 4 populations approximation:

1 Afghan_Pashtun + Kikuyu + Luzon + Mawasi @ 7.451462
2 Kikuyu + Luzon + Mawasi + Pathan @ 7.497629
3 Kikuyu + Luzon + Mawasi + Pakistan_Pashtun @ 7.554773
4 Dusun + Kikuyu + Mawasi + Pathan @ 7.682337
5 Afghan_Pashtun + Dusun + Kikuyu + Mawasi @ 7.700621
6 Balochi + Kikuyu + Luzon + Mawasi @ 7.734223
7 Burusho + Kikuyu + Luzon + Mawasi @ 7.752115
8 Burusho + Dusun + Kikuyu + Mawasi @ 7.767667
9 Burusho + Fulani + Luzon + Mawasi @ 7.809608
10 Kikuyu + Luzon + Makrani + Mawasi @ 7.819888
11 Burusho + Dusun + Fulani + Mawasi @ 7.831034
12 Fulani + Luzon + Mawasi + Pathan @ 7.835417
13 Dusun + Kikuyu + Mawasi + Pakistan_Pashtun @ 7.844406
14 Brahui + Kikuyu + Luzon + Mawasi @ 7.864495
15 Kikuyu + Mawasi + Murut + Pathan @ 7.886818
16 Afghan_Pashtun + Kikuyu + Mawasi + Murut @ 7.917758
17 Afghan_Pashtun + Filipino + Kikuyu + Mawasi @ 7.933754
18 Burusho + Kikuyu + Mawasi + Murut @ 7.946399
19 Filipino + Kikuyu + Mawasi + Pathan @ 7.956004
20 Burusho + Filipino + Kikuyu + Mawasi @ 7.995074

[/spoiler]

 

 
Posted : 26/09/2021 6:44 pm
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