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Thread: Global25 automated nMonte for South/Central Asian members

  1. #8001
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    Quote Originally Posted by Coldmountains View Post
    In the Underhill study with a sample size of 146 none was found afaik and i also don't see any at Yfull. Maybe there is some on Ftdna. Surely if the sample size is big enough some should be found, but it unlikely will have a frequency above 1% probably much less. Considering that L657 so far is almost absent and very rare among Pre/Non-Muslim West Asians i suspect most of L657 arrived in the Islamic age from the east.
    Cannot find anybody on FTDNA either!

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  3. #8002
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    Quote Originally Posted by tipirneni View Post
    some one looking like Mohanlal might have some WHG with out high sintasta etc... It looks sporadic compared to North and in Andhra
    do you have these high WHG coming up in your andhra kits??

  4. #8003
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    Quote Originally Posted by heksindhi View Post
    I'm using Kurdish as a stand-in for west Iranian/Iranian plateau ancestry. NW Iranian languages are found across the southern Caspian and its more likely that the proto-Baloch originate from the southern/eastern Caspian region. My intention was not to suggest actual Kurdish ancestry for these samples, but rather that the HGDP Baloch have lower levels of plateau ancestry compared to the Baloch samples I've come across from outside Balochistan. A lot of the Baloch from Sindh and Multan/Derajat have Sindhi/Seraiki admixture, but nonetheless, they still fit this pattern of elevated plateau ancestry(relatively speaking).
    I was looking at HGDP Sindhi samples on Vahaduo and there seemed to be clear variation, one closely matching Khatris. One as u described looks like a Baloch admixed, due to an elevated Iron Age NW Iran ancestry than the rest. NW Iran Iron Age type ancestry seems higher in these samples than Swat Iron Age group. What do u think? I used 0 - 1000 BCE (Iron Age) G25 Calculator by ph2ter but added the appropriate ancestral samples.
    Attachment 43547
    Target: Kapisa_scaled
    Distance: 1.7453% / 0.01745296
    44.4 IRN_Shahr_I_Sokhta_BA2_I8728
    35.0 UZB_Bustan_BA
    18.0 KAZ_Ak_Moustafa_MLBA1
    2.6 MNG_East_N

    Mitochondrial Haplogroup: R30b found in Shahr-I-Sokhta_BA1 subclades found in Swat IA:Leobanr, Katelai & Barikot Historic.

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  6. #8004
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    Quote Originally Posted by Kapisa View Post
    I was looking at HGDP Sindhi samples on Vahaduo and there seemed to be clear variation, one closely matching Khatris. One as u described looks like a Baloch admixed, due to an elevated Iron Age NW Iran ancestry than the rest. NW Iran Iron Age type ancestry seems higher in these samples than Swat Iron Age group.
    The Sindhi samples in the G25 sheet are a somewhat arbitrary selection (I assume they're randomly selected). I think using all HGDP samples gives a clearer view. I simulated the G25 coordinates for the entire set and modeled them with IVCp, BMAC and Steppe. A few real samples are included in the model as controls to validate the accuracy of the simulation (close enough for my purposes)

    If you remove the outliers at the top and bottom of the chart, the remainder are fairly homogenous. I do think that there are 2 variations on 'native' Sindhis. My current thinking is that Sindh was re-populated (following the collapse of the IVC) by Indo-Aryan types similar to the Swat-IA groups. These groups formed settlements along the Indus river and there is clear continuity between these early settlers and present day 'urban' (read de-tribalized) groups found anywhere from Hyderabad to Multan (or further depending on how you define historical Sindh). The 'rural' groups are different in the sense that they've acquired additional inputs via back-migration to Sindh from the west (Balochistan) and, to a lesser extent, the east (Thar). The Seh Gabi represents input from the West, while the elevation in SiS BA3 suggests input from the east.



     

    Sample Fit Shahr I Sokhta BA3 Sintashta MLBA Seh Gabi LN Dzharkutan1 BA Chokhopani 2700BP Yoruba
    heksindhi ► HGDP00195-sim 2.07 62.5 18.5 14 4.5 0.5 0
    Sindhi ► HGDP00195 2.25 60.5 19 14 6 0.5 0
    heksindhi ► HGDP00192-sim 1.73 56.5 20.5 11.5 11.5 0 0
    heksindhi ► HGDP00169-sim 1.28 54 16.5 2 26 1.5 0
    heksindhi ► HGDP00206-sim 1.13 53.5 20 4.5 19.5 2.5 0
    heksindhi ► HGDP00203-sim 1.23 53 22.5 14.5 8 2 0
    heksindhi ► HGDP00189-sim 1.19 50.5 18.5 0.5 29.5 1 0
    heksindhi ► HGDP00183-sim 1.61 50.5 19.5 4 25 1 0
    heksindhi ► HGDP00167-sim 1.31 50.5 20 13 15.5 1 0
    heksindhi ► HGDP00208-sim 1.31 48.5 24.5 8 15.5 3.5 0
    heksindhi ► HGDP00165-sim 1.45 48 17 10 21 1.5 2.5
    heksindhi ► HGDP00177-sim 1.17 47.5 14 3 26.5 1.5 7.5
    heksindhi ► HGDP00163-sim 1.51 47 18 18.5 12.5 1 3
    heksindhi ► HGDP00210-sim 1.68 46.5 18.5 2.5 31 1.5 0
    heksindhi ► sindhi [email protected] 1 46 20 6 26.5 1.5 0
    heksindhi ► sindhi [email protected] 0.99 45.5 20 12 18.5 2 2
    heksindhi ► HGDP00171-sim 0.96 45.5 18.5 0 34 2 0
    heksindhi ► HGDP00201-sim 1.2 45 20 0 33 2 0
    heksindhi ► HGDP00187-sim 1.7 45 19 3 31.5 1.5 0
    heksindhi ► HGDP00179-sim 1.37 44.5 15 11 28 1.5 0
    heksindhi ► HGDP00181-sim 1.41 44 20.5 13 20.5 2 0
    heksindhi ► HGDP00191-sim 1.09 43.5 24 2 29 1.5 0
    heksindhi ► HGDP00205-sim 1.18 42 19 5.5 31.5 2 0
    heksindhi ► HGDP00197-sim 1.24 42 23 1 30.5 3.5 0
    heksindhi ► HGDP00185-sim 1.13 40.5 21.5 0 36.5 1.5 0
    heksindhi ► HGDP00173-sim 1.16 34.5 17.5 13 20.5 2 12.5
    Sindhi ► HGDP00199 2.88 28.5 20 29.5 22 0 0
    heksindhi ► HGDP00199-sim 2.85 28 21 32.5 18.5 0 0
    heksindhi ► HGDP00175-sim 2.61 24.5 12.5 10 10 1.5 41.5

    Last edited by heksindhi; 02-26-2021 at 06:11 AM.

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  8. #8005
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    Quote Originally Posted by heksindhi View Post
    The Sindhi samples in the G25 sheet are a somewhat arbitrary selection (I assume they're randomly selected). I think using all HGDP samples gives a clearer view. I simulated the G25 coordinates for the entire set and modeled them with IVCp, BMAC and Steppe. A few real samples are included in the model as controls to validate the accuracy of the simulation (close enough for my purposes)

    If you remove the outliers at the top and bottom of the chart, the remainder are fairly homogenous. I do think that there are 2 variations on 'native' Sindhis. My current thinking is that Sindh was re-populated (following the collapse of the IVC) by Indo-Aryan types similar to the Swat-IA groups. These groups formed settlements along the Indus river and there is clear continuity between these early settlers and present day 'urban' (read de-tribalized) groups found anywhere from Hyderabad to Multan (or further depending on how you define historical Sindh). The 'rural' groups are different in the sense that they've acquired additional inputs via back-migration to Sindh from the west (Balochistan) and, to a lesser extent, the east (Thar). The Seh Gabi represents input from the West, while the elevation in SiS BA3 suggests input from the east.



     

    Sample Fit Shahr I Sokhta BA3 Sintashta MLBA Seh Gabi LN Dzharkutan1 BA Chokhopani 2700BP Yoruba
    heksindhi ► HGDP00195-sim 2.07 62.5 18.5 14 4.5 0.5 0
    Sindhi ► HGDP00195 2.25 60.5 19 14 6 0.5 0
    heksindhi ► HGDP00192-sim 1.73 56.5 20.5 11.5 11.5 0 0
    heksindhi ► HGDP00169-sim 1.28 54 16.5 2 26 1.5 0
    heksindhi ► HGDP00206-sim 1.13 53.5 20 4.5 19.5 2.5 0
    heksindhi ► HGDP00203-sim 1.23 53 22.5 14.5 8 2 0
    heksindhi ► HGDP00189-sim 1.19 50.5 18.5 0.5 29.5 1 0
    heksindhi ► HGDP00183-sim 1.61 50.5 19.5 4 25 1 0
    heksindhi ► HGDP00167-sim 1.31 50.5 20 13 15.5 1 0
    heksindhi ► HGDP00208-sim 1.31 48.5 24.5 8 15.5 3.5 0
    heksindhi ► HGDP00165-sim 1.45 48 17 10 21 1.5 2.5
    heksindhi ► HGDP00177-sim 1.17 47.5 14 3 26.5 1.5 7.5
    heksindhi ► HGDP00163-sim 1.51 47 18 18.5 12.5 1 3
    heksindhi ► HGDP00210-sim 1.68 46.5 18.5 2.5 31 1.5 0
    heksindhi ► sindhi [email protected] 1 46 20 6 26.5 1.5 0
    heksindhi ► sindhi [email protected] 0.99 45.5 20 12 18.5 2 2
    heksindhi ► HGDP00171-sim 0.96 45.5 18.5 0 34 2 0
    heksindhi ► HGDP00201-sim 1.2 45 20 0 33 2 0
    heksindhi ► HGDP00187-sim 1.7 45 19 3 31.5 1.5 0
    heksindhi ► HGDP00179-sim 1.37 44.5 15 11 28 1.5 0
    heksindhi ► HGDP00181-sim 1.41 44 20.5 13 20.5 2 0
    heksindhi ► HGDP00191-sim 1.09 43.5 24 2 29 1.5 0
    heksindhi ► HGDP00205-sim 1.18 42 19 5.5 31.5 2 0
    heksindhi ► HGDP00197-sim 1.24 42 23 1 30.5 3.5 0
    heksindhi ► HGDP00185-sim 1.13 40.5 21.5 0 36.5 1.5 0
    heksindhi ► HGDP00173-sim 1.16 34.5 17.5 13 20.5 2 12.5
    Sindhi ► HGDP00199 2.88 28.5 20 29.5 22 0 0
    heksindhi ► HGDP00199-sim 2.85 28 21 32.5 18.5 0 0
    heksindhi ► HGDP00175-sim 2.61 24.5 12.5 10 10 1.5 41.5

    Interestingly, samples from Pothohar/Saraiki Waseb, Central Punjab and Azad Kashmir also fall roughly along the same variation (something, with regional particularities ofcourse. Punjabi and Sindhi do arise from the same NW Indo Aryan Prakrits so it would make sense for the genetics to follow the same trend. Do u have G25 for Hindu Sindhis? Where do they fall along this variation?

    Also can we continue this discussion on South Asian G25 thread?
    Last edited by Kapisa; 02-26-2021 at 02:52 AM.
    Target: Kapisa_scaled
    Distance: 1.7453% / 0.01745296
    44.4 IRN_Shahr_I_Sokhta_BA2_I8728
    35.0 UZB_Bustan_BA
    18.0 KAZ_Ak_Moustafa_MLBA1
    2.6 MNG_East_N

    Mitochondrial Haplogroup: R30b found in Shahr-I-Sokhta_BA1 subclades found in Swat IA:Leobanr, Katelai & Barikot Historic.

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  10. #8006
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    Quote Originally Posted by Kapisa View Post
    Interestingly, samples from Pothohar/Saraiki Waseb, Central Punjab and Azad Kashmir also fall roughly along the same variation (something, with regional particularities ofcourse. Punjabi and Sindhi do arise from the same NW Indo Aryan Prakrits so it would make sense for the genetics to follow the same trend. Do u have G25 for Hindu Sindhis? Where do they fall along this variation?

    Also can we continue this discussion on South Asian G25 thread?
    Hopefully one of the admins will move these posts to the South Asian G25 thread. If you exclude the Hindus from the Thar region (more appropriately grouped with Rajasthani populations), the primary Sindhi Hindu groups are mainly of Lohana or Arora extraction. In terms of G25 samples, they can be represented fairly well by Punjabi Khatris. Using Khatris as proxies for Sindhi Hindus, or to take it one step further, as stand-ins for the original Indo-Aryan settlers, works quite well as the Khatri average fits right in the middle of the Sindhi distribution. The only difference is the lack of Seh Gabi but the overall proportions of BMAC/Steppe/IVC are almost exactly the same.

    Last edited by heksindhi; 02-26-2021 at 06:07 AM.

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  12. #8007
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    It's been a while since I've looked at G25 coordinates.

    Would anyone recommend any appropriate ancient east asian samples that would be suitable for Bangladeshis? I understand there have been lots of relatively recently released samples.

    Also - as a base - what would be a suitable model for Bengalis - or at least the non-East Asian part using ancient samples?
    Paternal; Y-DNA: R1a-L657> Y6> Y11> Y920*
    Paternal; mtDNA: M5b'c
    Maternal; Y-DNA: R1a-L657> Y6
    Maternal; mtDNA: M4b1
    Maternal Grandmother; Y-DNA: R1a-L657> Y6
    Maternal Grandfather; mtDNA: M3a1
    Maternal Grandfather MGF; Y-DNA: Q-M346

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  14. #8008
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    Anyone wanna offer up a model for pashtuns would be appreciated. Pakistani and Afghan. These guys can sometimes superficially appear like other NW South-Asians but as far as I know they often have different ancestral sources? The difference seems to be Seh Gabi oriented but I need yall input.

    Code:
    Target: Pashtun
    Distance: 2.5058% / 0.02505807
    38.2	KAZ_Kangju
    37.2	PAK_Saidu_Sharif_H_o
    24.6	IRN_Seh_Gabi_C
    
    
    Target: Yusufzai
    Distance: 2.7258% / 0.02725809
    37.4	KAZ_Kangju
    36.2	PAK_Saidu_Sharif_H_o
    26.4	IRN_Seh_Gabi_C
    
    Target: Tarkalani
    Distance: 2.8948% / 0.02894760
    39.2	KAZ_Kangju
    33.0	PAK_Saidu_Sharif_H_o
    27.8	IRN_Seh_Gabi_C
    
    Target: Uthmankhel
    Distance: 2.6889% / 0.02688939
    40.2	KAZ_Kangju
    33.2	PAK_Saidu_Sharif_H_o
    26.6	IRN_Seh_Gabi_C
    
    Target: Pashtun:Pashtun2_20Af
    Distance: 2.8330% / 0.02832990
    32.0	IRN_Seh_Gabi_C
    24.6	Saka_Tian_Shan
    23.8	PAK_Saidu_Sharif_H_o
    19.6	KAZ_Kangju

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  16. #8009
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    Quote Originally Posted by Reza View Post
    It's been a while since I've looked at G25 coordinates.

    Would anyone recommend any appropriate ancient east asian samples that would be suitable for Bangladeshis? I understand there have been lots of relatively recently released samples.

    Also - as a base - what would be a suitable model for Bengalis - or at least the non-East Asian part using ancient samples?
    What era samples are you looking for? Have you tried the reduce feature? PAK_Saidu_Sharif_H_o is the base for most Bangladeshis it seems. East Asian is much more varied like you can see.

    4 populations
    Code:
    Target: Bengali_Bangladesh:HG03793
    Distance: 1.9643% / 0.01964286 | R4P
    90.4	PAK_Saidu_Sharif_H_o
    3.8	CHN_Yellow_River_LN
    3.0	FRA_Occitanie_EMBA
    2.8	VNM_LN
    
    Target: Bengali_Bangladesh:HG03589
    Distance: 2.7909% / 0.02790919 | R4P
    71.6	PAK_Saidu_Sharif_H_o
    13.8	PAK_Barikot_MA
    7.8	IND_Great_Andamanese_100BP
    6.8	VUT_Teouma
    
    Target: Bengali_Bangladesh:HG03585
    Distance: 2.5280% / 0.02528000 | R4P
    80.6	PAK_Saidu_Sharif_H_o
    7.2	CHN_Miaozigou_MN
    6.8	LAO_LN_BA
    5.4	GRC_N
    
    Target: Bengali_Bangladesh:HG03012
    Distance: 1.9024% / 0.01902440 | R4P
    66.8	PAK_Saidu_Sharif_H_o
    24.0	PAK_Aligrama_IA
    5.4	LAO_LN_BA
    3.8	CHN_Miaozigou_MN
    
    Target: Bengali_Bangladesh:HG03009
    Distance: 2.0972% / 0.02097195 | R4P
    76.2	PAK_Saidu_Sharif_H_o
    9.6	IRN_Shahr_I_Sokhta_BA2
    9.0	CHN_Chuanyun_Historic
    5.2	Bell_Beaker_Iberia_C
    
    Target: Bengali_Bangladesh:HG03007
    Distance: 3.1760% / 0.03175952 | R4P
    87.0	PAK_Saidu_Sharif_H_o
    6.6	LAO_LN_BA
    3.8	HRV_Cardial_N
    2.6	CAN_400BP
    
    Target: Bengali_Bangladesh:HG03006
    Distance: 2.7024% / 0.02702383 | R4P
    72.0	PAK_Saidu_Sharif_H_o
    15.0	PAK_Katelai_LBA
    9.0	LAO_LN_BA
    4.0	ROU_N
    3 populations
    Code:
    Target: Bengali_Bangladesh:HG03793
    Distance: 2.0281% / 0.02028053 | R3P
    90.0	PAK_Saidu_Sharif_H_o
    6.8	NPL_Chokhopani_2700BP
    3.2	Bell_Beaker_Iberia_C
    
    Target: Bengali_Bangladesh:HG03589
    Distance: 2.9372% / 0.02937236 | R3P
    76.4	PAK_Saidu_Sharif_H_o
    12.0	CHN_Qihe_N
    11.6	PAK_Barikot_MA
    
    Target: Bengali_Bangladesh:HG03585
    Distance: 2.7511% / 0.02751147 | R3P
    81.8	PAK_Saidu_Sharif_H_o
    14.2	VNM_BA_Dong_Son_Culture
    4.0	GRC_N
    
    Target: Bengali_Bangladesh:HG03012
    Distance: 2.0001% / 0.02000086 | R3P
    69.6	PAK_Saidu_Sharif_H_o
    21.0	PAK_Aligrama_IA
    9.4	VNM_BA_Dong_Son_Culture
    
    Target: Bengali_Bangladesh:HG03009
    Distance: 2.2770% / 0.02276960 | R3P
    85.4	PAK_Saidu_Sharif_H_o
    8.6	CHN_Chuanyun_Historic
    6.0	Bell_Beaker_Iberia_C
    
    Target: Bengali_Bangladesh:HG03007
    Distance: 3.2502% / 0.03250238 | R3P
    76.0	PAK_Saidu_Sharif_H_o
    14.4	IRN_Shahr_I_Sokhta_BA2
    9.6	VNM_BA_Dong_Son_Culture
    
    Target: Bengali_Bangladesh:HG03006
    Distance: 2.9489% / 0.02948874 | R3P
    85.2	PAK_Saidu_Sharif_H_o
    8.6	LAO_LN_BA
    6.2	ROU_N
    
    Target: Bengali_Bangladesh:HG03793
    Distance: 2.1226% / 0.02122597 | R3P
    73.2	PAK_Saidu_Sharif_H_o
    20.8	IND_Roopkund_A
    6.0	CHN_Upper_Yellow_River_IA
    
    Target: Bengali_Bangladesh:HG03589
    Distance: 2.8094% / 0.02809396 | R3P
    59.2	PAK_Saidu_Sharif_H_o
    31.6	IND_Roopkund_A
    9.2	VUT_Teouma
    
    Target: Bengali_Bangladesh:HG03585
    Distance: 2.7511% / 0.02751147 | R3P
    81.8	PAK_Saidu_Sharif_H_o
    14.2	VNM_BA_Dong_Son_Culture
    4.0	GRC_N
    
    Target: Bengali_Bangladesh:HG03012
    Distance: 2.0001% / 0.02000086 | R3P
    69.6	PAK_Saidu_Sharif_H_o
    21.0	PAK_Aligrama_IA
    9.4	VNM_BA_Dong_Son_Culture
    
    Target: Bengali_Bangladesh:HG03009
    Distance: 2.2770% / 0.02276960 | R3P
    85.4	PAK_Saidu_Sharif_H_o
    8.6	CHN_Chuanyun_Historic
    6.0	Bell_Beaker_Iberia_C
    
    Target: Bengali_Bangladesh:HG03007
    Distance: 3.1845% / 0.03184472 | R3P
    54.0	PAK_Saidu_Sharif_H_o
    38.6	IND_Roopkund_A
    7.4	CHN_Miaozigou_MN
    
    Target: Bengali_Bangladesh:HG03006
    Distance: 2.7733% / 0.02773331 | R3P
    55.4	IND_Roopkund_A
    35.8	PAK_Saidu_Sharif_H_o
    8.8	LAO_BA
    5 populations
    Code:
    Target: Bengali_Bangladesh:HG03793
    Distance: 1.9439% / 0.01943924 | R5P
    90.2	PAK_Saidu_Sharif_H_o
    4.0	VNM_BA_Dong_Son_Culture
    3.0	NPL_Chokhopani_2700BP
    2.8	FRA_Occitanie_EMBA
    
    Target: Bengali_Bangladesh:HG03589
    Distance: 2.7875% / 0.02787545 | R5P
    71.0	PAK_Saidu_Sharif_H_o
    14.0	PAK_Barikot_MA
    7.8	IND_Great_Andamanese_100BP
    6.0	VUT_Teouma
    1.2	JPN_Jomon
    
    Target: Bengali_Bangladesh:HG03585
    Distance: 2.4808% / 0.02480837 | R5P
    76.2	PAK_Saidu_Sharif_H_o
    7.0	CHN_Miaozigou_MN
    7.0	LAO_LN_BA
    5.6	PAK_Barikot_MA
    4.2	GRC_N
    
    Target: Bengali_Bangladesh:HG03012
    Distance: 1.8984% / 0.01898445 | R5P
    67.4	PAK_Saidu_Sharif_H_o
    23.4	PAK_Aligrama_IA
    4.2	LAO_LN_BA
    3.2	CHN_Miaozigou_MN
    1.8	VNM_BA_Dong_Son_Culture
    
    Target: Bengali_Bangladesh:HG03009
    Distance: 2.0098% / 0.02009766 | R5P
    74.8	PAK_Saidu_Sharif_H_o
    10.4	IRN_Shahr_I_Sokhta_BA2
    5.6	CHN_Chuanyun_Historic
    5.0	Bell_Beaker_Iberia_C
    4.2	VNM_LN
    
    Target: Bengali_Bangladesh:HG03007
    Distance: 3.0216% / 0.03021556 | R5P
    75.2	PAK_Saidu_Sharif_H_o
    12.8	IRN_Shahr_I_Sokhta_BA2
    4.8	LAO_LN_BA
    4.6	CHN_Miaozigou_MN
    2.6	ITA_Grotta_Continenza_N_o
    
    Target: Bengali_Bangladesh:HG03006
    Distance: 2.6198% / 0.02619806 | R5P
    71.0	PAK_Saidu_Sharif_H_o
    14.2	IRN_Shahr_I_Sokhta_BA2
    7.0	LAO_LN_BA
    4.8	DEU_LBK_UW
    3.0	NPL_Mebrak_2125BP
    Modern 4 populations-
    Code:
    Target: Bengali_Bangladesh:HG03589
    Distance: 1.7549% / 0.01754884 | R4P
    76.0	Dusadh
    11.4	Bahun
    8.4	Agta
    4.2	Madiga
    
    Target: Bengali_Bangladesh:HG03585
    Distance: 1.2714% / 0.01271377 | R4P
    73.6	Madiga
    12.4	Burmese
    11.6	Lak
    2.4	Cree
    
    Target: Bengali_Bangladesh:HG03012
    Distance: 1.7315% / 0.01731466 | R4P
    52.6	Piramalai
    33.6	Gujarati
    10.2	Tripuri
    3.6	Khanty
    
    Target: Bengali_Bangladesh:HG03009
    Distance: 1.7425% / 0.01742539 | R4P
    52.8	Chenchu
    38.4	Brahmin_Uttar_Pradesh
    5.8	Gelao
    3.0	Santhal
    
    Target: Bengali_Bangladesh:HG03007
    Distance: 2.0565% / 0.02056532 | R4P
    57.2	Kol
    34.8	Hakkipikki
    6.0	Burmese
    2.0	Nahua

  17. The Following 7 Users Say Thank You to agent_lime For This Useful Post:

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  18. #8010
    Gold Class Member
    Posts
    4,343
    Location
    Shangri La

    Afghanistan Jammu and Kashmir United States of America Canada
    Quote Originally Posted by ThaYamamoto View Post
    Anyone wanna offer up a model for pashtuns would be appreciated. Pakistani and Afghan. These guys can sometimes superficially appear like other NW South-Asians but as far as I know they often have different ancestral sources? The difference seems to be Seh Gabi oriented but I need yall input.

    Code:
    Target: Pashtun
    Distance: 2.5058% / 0.02505807
    38.2	KAZ_Kangju
    37.2	PAK_Saidu_Sharif_H_o
    24.6	IRN_Seh_Gabi_C
    
    
    Target: Yusufzai
    Distance: 2.7258% / 0.02725809
    37.4	KAZ_Kangju
    36.2	PAK_Saidu_Sharif_H_o
    26.4	IRN_Seh_Gabi_C
    
    Target: Tarkalani
    Distance: 2.8948% / 0.02894760
    39.2	KAZ_Kangju
    33.0	PAK_Saidu_Sharif_H_o
    27.8	IRN_Seh_Gabi_C
    
    Target: Uthmankhel
    Distance: 2.6889% / 0.02688939
    40.2	KAZ_Kangju
    33.2	PAK_Saidu_Sharif_H_o
    26.6	IRN_Seh_Gabi_C
    
    Target: Pashtun:Pashtun2_20Af
    Distance: 2.8330% / 0.02832990
    32.0	IRN_Seh_Gabi_C
    24.6	Saka_Tian_Shan
    23.8	PAK_Saidu_Sharif_H_o
    19.6	KAZ_Kangju
    Their base ancestry definitely won't be Iran Chl sources like Seh Gabi or Hajji Firuz , those are for plateau Iranians, neither would SSo whose more a base for inner subcontinental populations. Most of them have the same IVC source as SPGT (8728,1459,1456), Southern populations favor more Iran_N richer sources like 1466,8726 akin to Baloch, though considering their genesis is largely in the late IA, a population on the TKM IA to Kangju cline is bringing pretty much all their Steppe ancestry, so I would assume Yaz people were like this. The Afghan Pashtun samples on G25 have elevated Slab Grave like ancestry as well excess Iran Chl since they have admixed with other populations especially in urban areas. There is considerable intra variation but there is a core ancestry among all of them and its largely derived from that TKM IA- Kanjgu like population. The extra ANF/PPNB in them can come from a number of sources especially considering these populations form fairly late but the vast majority of their ancestry is pretty much the same trio of sources found in other NW South Asian populations albeit in different proportions. Also we don't have genomes from the IA and the early Classical Age, but surely by then Iran_N richer substrate populations were likely very mixed and even had Steppe ancestry as well.

    Code:
    Target: Uthmankhel
    Distance: 0.9644% / 0.00964398 | R4P
    39.4	KAZ_Kangju
    32.6	IRN_Shahr_I_Sokhta_BA2
    22.8	UZB_Sappali_Tepe_BA
    5.2	TKM_IA
    
    
    Target: Yusufzai
    Distance: 0.9044% / 0.00904360 | R4P
    38.2	IRN_Shahr_I_Sokhta_BA2
    38.2	KAZ_Kangju
    17.4	UZB_Sappali_Tepe_BA
    6.2	TKM_IA
    
    Target: Tarkalani
    Distance: 0.9821% / 0.00982062 | R4P
    35.2	KAZ_Kangju
    31.6	IRN_Shahr_I_Sokhta_BA2
    22.8	UZB_Sappali_Tepe_BA
    10.4	TKM_IA
    
    Target: Kandahar
    Distance: 1.6661% / 0.01666148 | R4P
    52.0	KAZ_Kangju
    32.4	IRN_Shahr_I_Sokhta_BA2
    12.8	UZB_Sappali_Tepe_BA
    2.8	MNG_Slab_Grave_EIA_1
    
    
    
    Target: Tajik_Rushan
    Distance: 1.1141% / 0.01114141 | R4P
    45.4	KAZ_Kangju
    36.4	TKM_IA
    14.4	TKM_Gonur2_BA
    3.8	MNG_Slab_Grave_EIA_1
    
    Target: Tajik_Ishkashim
    Distance: 1.2946% / 0.01294566 | R4P
    63.0	KAZ_Kangju
    18.2	IRN_Shahr_I_Sokhta_BA2
    16.8	UZB_Sappali_Tepe_BA
    2.0	MNG_Slab_Grave_EIA_1
    
    Target: Kamboj
    Distance: 1.1497% / 0.01149717
    40.8	IRN_Shahr_I_Sokhta_BA2
    40.4	KAZ_Kangju
    18.8	UZB_Sappali_Tepe_BA
    
    Target: Khatri
    Distance: 1.1704% / 0.01170376
    52.2	IRN_Shahr_I_Sokhta_BA2
    37.6	KAZ_Kangju
    10.2	UZB_Sappali_Tepe_BA
    Last edited by pegasus; 03-03-2021 at 09:06 AM.

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