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Harappaworld thread for South and Central Asians
#16
The same individual's results from GEDMATCH....i think geographically eastern india has nil/very little caucasian and low baloch...

Admix Results (sorted):

# Population Percent
1 S-Indian 56.38
2 Baloch 33.11
3 NE-Euro 3.50
4 Beringian 2.97
5 SE-Asian 1.71
6 Siberian 1.09


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

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

Least-squares method.

Using 1 population approximation:
1 kanjar_metspalu @ 4.346851
2 lodi_reich @ 4.574327
3 tharu_metspalu @ 4.660707
4 up-scheduled-caste_metspalu @ 4.754753
5 sinhalese_harappa @ 4.849934
6 dusadh_metspalu @ 4.990172
7 dharkar_metspalu @ 5.255060
8 up-muslim_metspalu @ 5.507452
9 andhra-pradesh_harappa @ 5.515718
10 south-african-indian_harappa @ 5.582459
11 karnataka_harappa @ 5.848729
12 tamil-vellalar_harappa @ 5.866290
13 tamil-nadar_harappa @ 6.214759
14 tamil-nadu-scheduled-caste_metspalu @ 6.476379
15 velama_metspalu @ 6.664381
16 kol_metspalu @ 6.702152
17 kurumba_metspalu @ 6.889524
18 sourastrian_harappa @ 6.923254
19 velama_reich @ 7.028665
20 kurmi_metspalu @ 7.085886

Using 2 populations approximation:
1 50% dharkar_metspalu +50% dusadh_metspalu @ 3.149370


Using 3 populations approximation:
1 50% gujarati-a_hapmap +25% nihali_metspalu +25% oriya_harappa @ 2.927119


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 gujarati-a_hapmap + madiga_reich + oriya_harappa + south-african-indian_harappa @ 2.550334
2 bhil_reich + gujarati-a_hapmap + oriya_harappa + south-african-indian_harappa @ 2.645524
3 ap-madiga_xing + gujarati-a_hapmap + oriya_harappa + south-african-indian_harappa @ 2.655999
4 chamar_metspalu + gujarati-a_hapmap + oriya_harappa + south-african-indian_harappa @ 2.715830
5 gujarati-a_1000genomes + madiga_reich + oriya_harappa + south-african-indian_harappa @ 2.747356
6 gujarati-a_hapmap + hakkipikki_metspalu + oriya_harappa + south-african-indian_harappa @ 2.760800
7 gujarati-a_hapmap + oriya_harappa + sakilli_chaubey + south-african-indian_harappa @ 2.764186
8 gujarati-a_hapmap + kamsali_reich + oriya_harappa + south-african-indian_harappa @ 2.765875
9 bhil_reich + gujarati-patel_harappa + oriya_harappa + south-african-indian_harappa @ 2.783700
10 gujarati-patel_harappa + madiga_reich + oriya_harappa + south-african-indian_harappa @ 2.799357
11 bhil_reich + gujarati-a_hapmap + oriya_harappa + sinhalese_harappa @ 2.799822
12 gujarati-a_hapmap + kanjar_metspalu + kol_metspalu + south-african-indian_harappa @ 2.817925
13 dusadh_metspalu + oriya_harappa + south-african-indian_harappa + vysya_reich @ 2.818978
14 ap-mala_xing + gujarati-a_hapmap + oriya_harappa + tharu_metspalu @ 2.821225
15 gujarati-a_hapmap + north-kannadi_chaubey + oriya_harappa + south-african-indian_harappa @ 2.841297
16 chamar_metspalu + gujarati-patel_harappa + oriya_harappa + south-african-indian_harappa @ 2.841448
17 gujarati-a_hapmap + mala_reich + oriya_harappa + up_harappa @ 2.850140
18 bhil_reich + gujarati-a_1000genomes + oriya_harappa + south-african-indian_harappa @ 2.856187
19 gujarati-a_hapmap + mala_reich + oriya_harappa + tharu_metspalu @ 2.861517
20 bhil_reich + gujarati-a_hapmap + oriya_harappa + tamil-nadar_harappa @ 2.862543
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#17
This calculator would highly benefit from having a ibm component, it highly exaggerates the sw Asian component

a
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#18
(11-18-2023, 02:48 PM)vishankar Wrote: The same individual's results from GEDMATCH....i think geographically eastern india has nil/very little caucasian and low baloch...

Admix Results (sorted):

# Population Percent
1 S-Indian 56.38
2 Baloch 33.11
3 NE-Euro 3.50
4 Beringian 2.97
5 SE-Asian 1.71
6 Siberian 1.09


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

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

Least-squares method.

Using 1 population approximation:
1 kanjar_metspalu @ 4.346851
2 lodi_reich @ 4.574327
3 tharu_metspalu @ 4.660707
4 up-scheduled-caste_metspalu @ 4.754753
5 sinhalese_harappa @ 4.849934
6 dusadh_metspalu @ 4.990172
7 dharkar_metspalu @ 5.255060
8 up-muslim_metspalu @ 5.507452
9 andhra-pradesh_harappa @ 5.515718
10 south-african-indian_harappa @ 5.582459
11 karnataka_harappa @ 5.848729
12 tamil-vellalar_harappa @ 5.866290
13 tamil-nadar_harappa @ 6.214759
14 tamil-nadu-scheduled-caste_metspalu @ 6.476379
15 velama_metspalu @ 6.664381
16 kol_metspalu @ 6.702152
17 kurumba_metspalu @ 6.889524
18 sourastrian_harappa @ 6.923254
19 velama_reich @ 7.028665
20 kurmi_metspalu @ 7.085886

Using 2 populations approximation:
1 50% dharkar_metspalu +50% dusadh_metspalu @ 3.149370


Using 3 populations approximation:
1 50% gujarati-a_hapmap +25% nihali_metspalu +25% oriya_harappa @ 2.927119


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 gujarati-a_hapmap + madiga_reich + oriya_harappa + south-african-indian_harappa @ 2.550334
2 bhil_reich + gujarati-a_hapmap + oriya_harappa + south-african-indian_harappa @ 2.645524
3 ap-madiga_xing + gujarati-a_hapmap + oriya_harappa + south-african-indian_harappa @ 2.655999
4 chamar_metspalu + gujarati-a_hapmap + oriya_harappa + south-african-indian_harappa @ 2.715830
5 gujarati-a_1000genomes + madiga_reich + oriya_harappa + south-african-indian_harappa @ 2.747356
6 gujarati-a_hapmap + hakkipikki_metspalu + oriya_harappa + south-african-indian_harappa @ 2.760800
7 gujarati-a_hapmap + oriya_harappa + sakilli_chaubey + south-african-indian_harappa @ 2.764186
8 gujarati-a_hapmap + kamsali_reich + oriya_harappa + south-african-indian_harappa @ 2.765875
9 bhil_reich + gujarati-patel_harappa + oriya_harappa + south-african-indian_harappa @ 2.783700
10 gujarati-patel_harappa + madiga_reich + oriya_harappa + south-african-indian_harappa @ 2.799357
11 bhil_reich + gujarati-a_hapmap + oriya_harappa + sinhalese_harappa @ 2.799822
12 gujarati-a_hapmap + kanjar_metspalu + kol_metspalu + south-african-indian_harappa @ 2.817925
13 dusadh_metspalu + oriya_harappa + south-african-indian_harappa + vysya_reich @ 2.818978
14 ap-mala_xing + gujarati-a_hapmap + oriya_harappa + tharu_metspalu @ 2.821225
15 gujarati-a_hapmap + north-kannadi_chaubey + oriya_harappa + south-african-indian_harappa @ 2.841297
16 chamar_metspalu + gujarati-patel_harappa + oriya_harappa + south-african-indian_harappa @ 2.841448
17 gujarati-a_hapmap + mala_reich + oriya_harappa + up_harappa @ 2.850140
18 bhil_reich + gujarati-a_1000genomes + oriya_harappa + south-african-indian_harappa @ 2.856187
19 gujarati-a_hapmap + mala_reich + oriya_harappa + tharu_metspalu @ 2.861517
20 bhil_reich + gujarati-a_hapmap + oriya_harappa + tamil-nadar_harappa @ 2.862543

Do you have their coordinates thats high Beringian/Siberian
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#19
(11-18-2023, 09:48 PM)pegasus Wrote:
(11-18-2023, 02:48 PM)vishankar Wrote: The same individual's results from GEDMATCH....i think geographically eastern india has nil/very little caucasian and low baloch...

Admix Results (sorted):

# Population Percent
1 S-Indian 56.38
2 Baloch 33.11
3 NE-Euro 3.50
4 Beringian 2.97
5 SE-Asian 1.71
6 Siberian 1.09


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

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

Least-squares method.

Using 1 population approximation:
1 kanjar_metspalu @ 4.346851
2 lodi_reich @ 4.574327
3 tharu_metspalu @ 4.660707
4 up-scheduled-caste_metspalu @ 4.754753
5 sinhalese_harappa @ 4.849934
6 dusadh_metspalu @ 4.990172
7 dharkar_metspalu @ 5.255060
8 up-muslim_metspalu @ 5.507452
9 andhra-pradesh_harappa @ 5.515718
10 south-african-indian_harappa @ 5.582459
11 karnataka_harappa @ 5.848729
12 tamil-vellalar_harappa @ 5.866290
13 tamil-nadar_harappa @ 6.214759
14 tamil-nadu-scheduled-caste_metspalu @ 6.476379
15 velama_metspalu @ 6.664381
16 kol_metspalu @ 6.702152
17 kurumba_metspalu @ 6.889524
18 sourastrian_harappa @ 6.923254
19 velama_reich @ 7.028665
20 kurmi_metspalu @ 7.085886

Using 2 populations approximation:
1 50% dharkar_metspalu +50% dusadh_metspalu @ 3.149370


Using 3 populations approximation:
1 50% gujarati-a_hapmap +25% nihali_metspalu +25% oriya_harappa @ 2.927119


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 gujarati-a_hapmap + madiga_reich + oriya_harappa + south-african-indian_harappa @ 2.550334
2 bhil_reich + gujarati-a_hapmap + oriya_harappa + south-african-indian_harappa @ 2.645524
3 ap-madiga_xing + gujarati-a_hapmap + oriya_harappa + south-african-indian_harappa @ 2.655999
4 chamar_metspalu + gujarati-a_hapmap + oriya_harappa + south-african-indian_harappa @ 2.715830
5 gujarati-a_1000genomes + madiga_reich + oriya_harappa + south-african-indian_harappa @ 2.747356
6 gujarati-a_hapmap + hakkipikki_metspalu + oriya_harappa + south-african-indian_harappa @ 2.760800
7 gujarati-a_hapmap + oriya_harappa + sakilli_chaubey + south-african-indian_harappa @ 2.764186
8 gujarati-a_hapmap + kamsali_reich + oriya_harappa + south-african-indian_harappa @ 2.765875
9 bhil_reich + gujarati-patel_harappa + oriya_harappa + south-african-indian_harappa @ 2.783700
10 gujarati-patel_harappa + madiga_reich + oriya_harappa + south-african-indian_harappa @ 2.799357
11 bhil_reich + gujarati-a_hapmap + oriya_harappa + sinhalese_harappa @ 2.799822
12 gujarati-a_hapmap + kanjar_metspalu + kol_metspalu + south-african-indian_harappa @ 2.817925
13 dusadh_metspalu + oriya_harappa + south-african-indian_harappa + vysya_reich @ 2.818978
14 ap-mala_xing + gujarati-a_hapmap + oriya_harappa + tharu_metspalu @ 2.821225
15 gujarati-a_hapmap + north-kannadi_chaubey + oriya_harappa + south-african-indian_harappa @ 2.841297
16 chamar_metspalu + gujarati-patel_harappa + oriya_harappa + south-african-indian_harappa @ 2.841448
17 gujarati-a_hapmap + mala_reich + oriya_harappa + up_harappa @ 2.850140
18 bhil_reich + gujarati-a_1000genomes + oriya_harappa + south-african-indian_harappa @ 2.856187
19 gujarati-a_hapmap + mala_reich + oriya_harappa + tharu_metspalu @ 2.861517
20 bhil_reich + gujarati-a_hapmap + oriya_harappa + tamil-nadar_harappa @ 2.862543

Do you have their coordinates thats high Beringian/Siberian

Dont have it as yet..will get it and get back to you.
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#20
Punjabi Sikh samples have been uploaded on genoplot , they are available for all admixture calculators
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#21
(11-21-2023, 02:31 PM)Bhapaji Wrote: Punjabi Sikh samples have been uploaded on genoplot , they are available for all admixture calculators

  Sample: Punjabi Sikh India ► PanSikh27099
    Calculator: HarappaWorld Extended
    Coverage: 181923 SNPs (96.68%)
    S-Indian: 36.35
    Baloch: 40.37
    Caucasian: 10.78
    NE-Euro: 6.14
    American: 1.07
    Mediterranean: 2.66
    Siberian: 0.8
    SW-Asian: 1.24
    Papuan: 0
    San: 0
    Beringian: 0
    E-African: 0
    SE-Asian: 0.48
    NE-Asian: 0
    W-African: 0.01
    Pygmy: 0.09

    Sample: Punjabi Sikh India ► PanSikh26879
    Calculator: HarappaWorld Extended
    Coverage: 181915 SNPs (96.67%)
    S-Indian: 26.01
    Baloch: 37.6
    Caucasian: 10.75
    NE-Euro: 19.21
    American: 0.98
    Mediterranean: 2.03
    Siberian: 0.03
    SW-Asian: 1.39
    Papuan: 0
    San: 0.2
    Beringian: 0.72
    E-African: 0
    SE-Asian: 0
    NE-Asian: 1.01
    W-African: 0.07
    Pygmy: 0

First one is the most SI shifted profile, second most Steppe shifted profile.
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#22
(11-24-2023, 11:10 PM)pegasus Wrote:
(11-21-2023, 02:31 PM)Bhapaji Wrote: Punjabi Sikh samples have been uploaded on genoplot , they are available for all admixture calculators

  Sample: Punjabi Sikh India ► PanSikh27099
    Calculator: HarappaWorld Extended
    Coverage: 181923 SNPs (96.68%)
    S-Indian: 36.35
    Baloch: 40.37
    Caucasian: 10.78
    NE-Euro: 6.14
    American: 1.07
    Mediterranean: 2.66
    Siberian: 0.8
    SW-Asian: 1.24
    Papuan: 0
    San: 0
    Beringian: 0
    E-African: 0
    SE-Asian: 0.48
    NE-Asian: 0
    W-African: 0.01
    Pygmy: 0.09

    Sample: Punjabi Sikh India ► PanSikh26879
    Calculator: HarappaWorld Extended
    Coverage: 181915 SNPs (96.67%)
    S-Indian: 26.01
    Baloch: 37.6
    Caucasian: 10.75
    NE-Euro: 19.21
    American: 0.98
    Mediterranean: 2.03
    Siberian: 0.03
    SW-Asian: 1.39
    Papuan: 0
    San: 0.2
    Beringian: 0.72
    E-African: 0
    SE-Asian: 0
    NE-Asian: 1.01
    W-African: 0.07
    Pygmy: 0

First one is the most SI shifted profile, second most Steppe shifted profile.

The NE Europe component is 80% Finnish. Around 100 Finnish samples from the 1000 genomes project were included in the HarappaWorld calculator. 
Very often 1000 genome populations are avoided in admixture, but HGDP populations are always used.
Even in Harappaworld the Telegu, Tamil and Punjabi Lahore samples were not included but most other 1000 genome populations were.
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#23
My opinions about the formation of populations in South and Central Asia:-
1) The samples of the Neolithic found in the Zagros mountains are closer to Balochis/Kalash compared to modern day Iranians.
2) Kalash have greater proportion of Zagrosian ancestry than Balochis, the Balochis have additional ancestry from Middle East
3) The SPGT people from the Iron age had lesser steppe ancestry than present day Pakistanis and Indians.
4) Kalash have lesser steppe ancestry than Indians and Pakistanis.
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#24
Do you have any results / GEDmatch kit numbers of Balochs from Iran?
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#25
(01-25-2024, 12:15 PM)Tomenable Wrote: Do you have any results / GEDmatch kit numbers of Balochs from Iran?

    sample: 9AQ100 ( Iranian Baloch )
    coverage: 79.36%

    S-Indian: 12.45
    Baloch: 49.99
    Caucasian: 21.05
    NE-Euro: 4.79
    SE-Asian: 1.23
    SW-Asian: 8.33
    Papuan: 1
    San: 0.68
    Beringian: 0.47
    Siberian: 0
    American: 0
    Mediterranean: 0
    Pygmy: 0
    W-African: 0
    E-African: 0


    Sample: Iranian Baloch ► 9AQ101
    Calculator: HarappaWorld Extended
    Coverage: 153000 SNPs (81.31%)
    S-Indian: 16.36
    Baloch: 42.6
    Caucasian: 21.4
    NE-Euro: 5.31
    SE-Asian: 0.45
    SW-Asian: 8.35
    Papuan: 0.04
    San: 0.05
    Beringian: 0.14
    Siberian: 1.6
    American: 0.44
    Mediterranean: 2.69
    Pygmy: 0.18
    W-African: 0.41
    E-African: 0
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#26
(01-25-2024, 04:19 PM)pegasus Wrote:
(01-25-2024, 12:15 PM)Tomenable Wrote: Do you have any results / GEDmatch kit numbers of Balochs from Iran?

    sample: 9AQ100 ( Iranian Baloch )
    coverage: 79.36%

    S-Indian: 12.45
    Baloch: 49.99
    Caucasian: 21.05
    NE-Euro: 4.79
    SE-Asian: 1.23
    SW-Asian: 8.33
    Papuan: 1
    San: 0.68
    Beringian: 0.47
    Siberian: 0
    American: 0
    Mediterranean: 0
    Pygmy: 0
    W-African: 0
    E-African: 0


    Sample: Iranian Baloch ► 9AQ101
    Calculator: HarappaWorld Extended
    Coverage: 153000 SNPs (81.31%)
    S-Indian: 16.36
    Baloch: 42.6
    Caucasian: 21.4
    NE-Euro: 5.31
    SE-Asian: 0.45
    SW-Asian: 8.35
    Papuan: 0.04
    San: 0.05
    Beringian: 0.14
    Siberian: 1.6
    American: 0.44
    Mediterranean: 2.69
    Pygmy: 0.18
    W-African: 0.41
    E-African: 0

Thanks! Is 9AQ102 also a Baloch?
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#27
Possible Malayali Mappila Muslim samples.
Pudhukode
Population
S-Indian 52.48 Pct
Baloch 34.5 Pct
Caucasian 2.32 Pct
NE-Euro 0.6 Pct
SE-Asian 2.58 Pct
Siberian 1.45 Pct
NE-Asian 1.37 Pct
Papuan 1.27 Pct
American 0.36 Pct
Beringian -
Mediterranean 0.76 Pct
SW-Asian 2.27 Pct
San -
E-African -
Pygmy -
W-African -

Kunjumoidu
Population
S-Indian 48.65 Pct
Baloch 35.72 Pct
Caucasian 2.38 Pct
NE-Euro 0.71 Pct
SE-Asian 4.65 Pct
Siberian -
NE-Asian 0.56 Pct
Papuan 2.41 Pct
American 0.3 Pct
Beringian -
Mediterranean 0.19 Pct
SW-Asian 3.6 Pct
San -
E-African 0.3 Pct
Pygmy 0.53 Pct
W-African -

Kunnummal
Population
S-Indian 49.07 Pct
Baloch 33.9 Pct
Caucasian 5.06 Pct
NE-Euro 3.38 Pct
SE-Asian 2.13 Pct
Siberian 0.2 Pct
NE-Asian -
Papuan 0.75 Pct
American 0.36 Pct
Beringian 1.54 Pct
Mediterranean -
SW-Asian 2.44 Pct
San 0.37 Pct
E-African 0.56 Pct
Pygmy 0.24 Pct
W-African -

Some other samples that come as close segment matches to the above samples.
Population
S-Indian 50.34 Pct
Baloch 32.51 Pct
Caucasian 5.03 Pct
NE-Euro 1.85 Pct
SE-Asian 1.67 Pct
Siberian 0.13 Pct
NE-Asian 1.55 Pct
Papuan 2.86 Pct
American 0.34 Pct
Beringian -
Mediterranean 0.62 Pct
SW-Asian 2.84 Pct
San 0.14 Pct
E-African 0.12 Pct
Pygmy -
W-African -

Population
S-Indian 51.37 Pct
Baloch 33.68 Pct
Caucasian 2.48 Pct
NE-Euro 2.98 Pct
SE-Asian 2.75 Pct
Siberian 1.56 Pct
NE-Asian 0.1 Pct
Papuan 0.45 Pct
American -
Beringian -
Mediterranean 1.18 Pct
SW-Asian 2.89 Pct
San 0.1 Pct
E-African -
Pygmy 0.34 Pct
W-African 0.12 Pct

Population
S-Indian 49.66 Pct
Baloch 32.38 Pct
Caucasian 4.28 Pct
NE-Euro 2.38 Pct
SE-Asian 1.1 Pct
Siberian 1.71 Pct
NE-Asian 2.09 Pct
Papuan 0.74 Pct
American 0.64 Pct
Beringian -
Mediterranean -
SW-Asian 4.23 Pct
San 0.45 Pct
E-African -
Pygmy -
W-African 0.32 Pct


Population
S-Indian 50.25 Pct
Baloch 34.85 Pct
Caucasian 3.7 Pct
NE-Euro 0.13 Pct
SE-Asian 4.46 Pct
Siberian -
NE-Asian -
Papuan 1.93 Pct
American -
Beringian -
Mediterranean 2.06 Pct
SW-Asian 1.09 Pct
San -
E-African 0.9 Pct
Pygmy 0.43 Pct
W-African 0.19 Pct

Population
S-Indian 51.16 Pct
Baloch 33.06 Pct
Caucasian 7.08 Pct
NE-Euro 0.48 Pct
SE-Asian 1.83 Pct
Siberian 0.14 Pct
NE-Asian 1.8 Pct
Papuan 2.15 Pct
American 1.25 Pct
Beringian -
Mediterranean 0.1 Pct
SW-Asian 0.95 Pct
San -
E-African -

Population
S-Indian 50.07 Pct
Baloch 32.87 Pct
Caucasian 3.68 Pct
NE-Euro 4.86 Pct
SE-Asian 2.3 Pct
Siberian 0.98 Pct
NE-Asian -
Papuan 0.47 Pct
American -
Beringian 0.27 Pct
Mediterranean 0.83 Pct
SW-Asian 1.41 Pct
San -
E-African 2.22 Pct
Pygmy -
W-African -


Population
S-Indian 48.65 Pct
Baloch 34.54 Pct
Caucasian 5.44 Pct
NE-Euro 2.46 Pct
SE-Asian -
Siberian 2.6 Pct
NE-Asian 1.75 Pct
Papuan 0.87 Pct
American -
Beringian 0.13 Pct
Mediterranean -
SW-Asian 3.07 Pct
San 0.22 Pct
E-African -
Pygmy 0.27 Pct
W-African -


Population
S-Indian 48.63 Pct
Baloch 33.63 Pct
Caucasian 6.11 Pct
NE-Euro 1.46 Pct
SE-Asian 2.77 Pct
Siberian 1.98 Pct
NE-Asian 0.22 Pct
Papuan 0.34 Pct
American 0.35 Pct
Beringian -
Mediterranean 0.45 Pct
SW-Asian 3.33 Pct
San -
E-African -
Pygmy 0.45 Pct
W-African 0.28 Pct
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#28
Sen
might be bengali, low baluchi 

Admix Results (sorted):

# Population Percent
1 S-Indian 49.52
2 Baloch 27.95
3 NE-Euro 7.61
4 NE-Asian 4.01
5 Caucasian 2.95
6 SE-Asian 2.22
7 SW-Asian 1.9
8 American 1.51
9 Mediterranean 1.14
10 Beringian 0.67
11 W-African 0.53

Single Population Sharing:

# Population (source) Distance
1 caribbean-indian (harappa) 4.75
2 bihari (harappa) 5
3 sri-lankan (harappa) 5.43
4 bengali (harappa) 6.16
5 srivastava (reich) 6.33
6 up-muslim (metspalu) 6.83
7 up (harappa) 6.84
8 kerala-muslim (harappa) 7.14
9 dharkar (metspalu) 8
10 ap-hyderabad (harappa) 8
11 kanjar (metspalu) 8.05
12 tharu (metspalu) 8.1
13 ap-brahmin (xing) 8.41
14 bihari-muslim (harappa) 8.45
15 karnataka-brahmin (harappa) 8.48
16 rajasthani (harappa) 8.75
17 andhra-pradesh (harappa) 8.82
18 singapore-indian-b (sgvp) 8.91
19 tamil (harappa) 8.93
20 maharashtrian (harappa) 9.13

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54.7% nepalese-a (xing) + 45.3% chenchu (reich) @ 3.23
2 70.7% bengali-brahmin (harappa) + 29.3% chenchu (reich) @ 3.29
3 96.2% caribbean-indian (harappa) + 3.8% chinese-american (hapmap) @ 3.38
4 96.2% caribbean-indian (harappa) + 3.8% tujia (hgdp) @ 3.39
5 96.3% caribbean-indian (harappa) + 3.7% chinese-beijing (1000genomes) @ 3.39
6 96.2% caribbean-indian (harappa) + 3.8% han (hgdp) @ 3.39
7 96.2% caribbean-indian (harappa) + 3.8% han-chinese-south (1000genomes) @ 3.39
8 52.4% satnami (reich) + 47.6% nepalese-a (xing) @ 3.4
9 96.1% caribbean-indian (harappa) + 3.9% chinese (xing) @ 3.4
10 96.2% caribbean-indian (harappa) + 3.8% she (hgdp) @ 3.4
11 96.1% caribbean-indian (harappa) + 3.9% yi (hgdp) @ 3.41
12 94.7% caribbean-indian (harappa) + 5.3% garo (chaubey) @ 3.41
13 96.2% caribbean-indian (harappa) + 3.8% singapore-chinese (sgvp) @ 3.41
14 96.3% caribbean-indian (harappa) + 3.7% han-nchina (hgdp) @ 3.42
15 96.1% caribbean-indian (harappa) + 3.9% naxi (hgdp) @ 3.42
16 96.1% caribbean-indian (harappa) + 3.9% miao (hgdp) @ 3.43
17 94.1% caribbean-indian (harappa) + 5.9% nepalese-b (xing) @ 3.43
18 96.1% caribbean-indian (harappa) + 3.9% tu (hgdp) @ 3.44
19 94.7% caribbean-indian (harappa) + 5.3% burmanese (chaubey) @ 3.45
20 96.3% caribbean-indian (harappa) + 3.7% japanese (hgdp) @ 3.46

dodcat v3 also confirms
Single Population Sharing:

# Population (source) Distance
1 Tharu (Reich) 4.92
2 Srivastava (Reich) 7.37
3 AP_Brahmin (Xing) 7.61
4 Lodi (Reich) 8.45
5 Vaish (Reich) 8.54
6 TN_Brahmin (Xing) 9.09
7 Meghawal (Reich) 9.38
8 Cochin_Jews (Behar) 10.42
9 Indian (Dodecad) 11.19
10 INS (SGVP) 11.24
11 Satnami (Reich) 11.32
12 Hallaki (Reich) 11.63
13 Naidu (Reich) 12.76
14 Velama (Reich) 12.78
Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.5% Chenchu (Reich) + 22.5% Stalskoe (Xing) @ 2.27
2 93.8% Tharu (Reich) + 6.2% Slovenian (Xing) @ 2.59
3 93.8% Tharu (Reich) + 6.2% Hungarians (Behar) @ 2.64
4 71.9% Vaish (Reich) + 28.1% Santhal (Reich) @ 2.66
5 66.5% Vaish (Reich) + 33.5% Sahariya (Reich) @ 2.69
6 94.3% Tharu (Reich) + 5.7% German (Dodecad) @ 2.74
7 93.8% Tharu (Reich) + 6.2% Balkans (Dodecad) @ 2.75
8 57.6% Vaish (Reich) + 42.4% Satnami (Reich) @ 2.76
9 93.8% Tharu (Reich) + 6.2% Romanians_14 (Behar) @ 2.81
10 94.4% Tharu (Reich) + 5.6% CEU (HapMap) @ 2.82
11 94.4% Tharu (Reich) + 5.6% N._European (Xing) @ 2.83
12 94.5% Tharu (Reich) + 5.5% Argyll (1000 Genomes) @ 2.83
13 94.5% Tharu (Reich) + 5.5% Orcadian (HGDP) @ 2.85
14 94.5% Tharu (Reich) + 5.5% Orkney (1000 Genomes) @ 2.86
15 94.5% Tharu (Reich) + 5.5% Polish (Dodecad) @ 2.89
16 94.4% Tharu (Reich) + 5.6% Mixed_Slav (Dodecad) @ 2.91
17 94.8% Tharu (Reich) + 5.2% Mixed_Germanic (Dodecad) @ 2.93
18 94.7% Tharu (Reich) + 5.3% French (HGDP) @ 2.99
19 94.2% Tharu (Reich) + 5.8% TSI (HapMap) @ 3
20 94.1% Tharu (Reich) + 5.9% Tuscan (Xing) @ 3
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#29
A konkani GSB brahmin.
# Population Percent
1 S-Indian 46.65
2 Baloch 36.30
3 Caucasian 6.77
4 NE-Euro 5.60
5 SW-Asian 1.76
6 SE-Asian 1.31
7 Siberian 1.22

Intetresting to see the homogenity of Southern Brahmins across region and subcaste despite different subcastes claiming different origins.
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