G25 thread for South and Central Asians

[ESPLover]

Continuation of the Anthrogenica thread

[Rana]

Have they published ancient sri lanka samples yet?

[Kapisa_AG]

This individual is likely AJK Mughal with a grandparent from Kashmir (Dar).
HW shows higher Caucasus related component possibly due to 23andme kit: https://genarchivist.com/showthread.php?tid=8

Distance to: AJK_scaled
0.02814236 Kohistani:K-295
0.02863913 Kohistani:K-128
0.02930836 Punjabi_Sikh_IndiaanSikh26954
0.02983513 Kohistani:K-146
0.02986138 Awan:Awan3
0.02988284 Punjabi_Lahore:HG02494.SG

sample: Custom:AJK_scaled
distance: 2.086396466
Brahmin_Jammu: 61
Kashmiri_Pandit: 31.8
GEO_CHG: 7.2

sample: Custom:AJK_scaled
distance: 2.7287399839999997
Shahr_I_Sokhta_BA3: 50
Sappali_Tepe_BA: 26.8
Srubnaya_Alakul_MLBA: 20.4
Chokhopani_2700BP: 2.8

[Bhapaji]

HGDP00179 from Sindh in Pakistan is almost a sample from the IVC

[ESPLover]

They're not similar to IVC. Far from it.

https://i.imgur.com/euRQrU1.png

https://i.imgur.com/y59KGN4.png

[Bhapaji]

They're not similar to IVC. Far from it.

https://i.imgur.com/euRQrU1.png

https://i.imgur.com/y59KGN4.png

   It seems this individual has additional ancestry from Balochistan, Sindhis do not score 53.4 % Baloch on Harappaworld. You should try to model this fellow using sources from Iran.

    Sample: Sindhi ► HGDP00179
    Calculator: HarappaWorld
    Coverage: 160210 SNPs (85.14%)
    Baloch: 53.41
    S-Indian: 27.3
    Caucasian: 10.32
    SW-Asian: 3.12
    NE-Euro: 2.84
    Papuan: 0.91
    American: 0.89
    Siberian: 0.65
    Beringian: 0.56
    SE-Asian: 0
    NE-Asian: 0
    Mediterranean: 0
    San: 0
    E-African: 0
    Pygmy: 0
    W-African: 0

[pegasus]

HGDP00179 from Sindh in Pakistan is almost a sample from the IVC

They're not similar to IVC. Far from it.

https://i.imgur.com/euRQrU1.png

https://i.imgur.com/y59KGN4.png

How much Zagrosian ancestry this sample has using  distal sources??

[Bhapaji]

In Qpadm Turkey_N and Iran_N are interchangeable because they both have a significant Dzudzuana ancestry overlap. The p value is quite high .
Turkey_N is almost wholly descended from Dzudzuana whereas Iran_N has additional Basal Eurasian ancestry as well as ancestry like AG3 and Eastern Non African ancestry.

All this is explained in the paper on Dzudzuana teeth from the paleolithic age.
right = c('Mbuti.SDG','Chukchi.DG','Karitiana.SDG','Russia_Ust_Ishim_HG_published.DG','Russia_Kostenki14','Russia_MA1_HG.SG','Dai.SDG')

[Kapisa_AG]

here I use Paleolithic sources to model ancient and modern south asians, model will be available on Genoplot for anyone interested.

[Rana]

here I use Paleolithic sources to model ancient and modern south asians, model will be available on Genoplot for anyone interested.

Fit looks bad. How does it look without simulated ancestry? Ust Ishim? using Onge will be better option.

[pegasus]

In Qpadm Turkey_N and Iran_N are interchangeable because they both have a significant Dzudzuana ancestry overlap. The p value is quite high .
Turkey_N is almost wholly descended from Dzudzuana whereas Iran_N has additional Basal Eurasian ancestry as well as ancestry like AG3 and Eastern Non African ancestry.

All this is explained in the paper on Dzudzuana teeth from the paleolithic age.
right = c('Mbuti.SDG','Chukchi.DG','Karitiana.SDG','Russia_Ust_Ishim_HG_published.DG','Russia_Kostenki14','Russia_MA1_HG.SG','Dai.SDG')

Iran_N and ANF are very diverged. If the SE are so high , the model is essentially useless and your right pops are lacking UP Basal like pops like Dzudzuana and to a lesser degree Zlatykun

[Bhapaji]

As you can see below, this HGDP00179 individual has lesser than normal Lithuanian component.

[Kapisa_AG]

Rana pid='2025' dateline='1697934977']

here I use Paleolithic sources to model ancient and modern south asians, model will be available on Genoplot for anyone interested.

Fit looks bad. How does it look without simulated ancestry? Ust Ishim? using Onge will be better option.

fit is generally correlated to temporal proximity of the ancestral source population. All these sources are thousands of years old from Paleolithic, roughly 40,000-10,000BC; Onge is very drifted so are rest of the populations, I don't expect them to improve fit but if u say so, I ran an example using only Indian tribals since they have the lowest fit:

[Rana]

here I use Paleolithic sources to model ancient and modern south asians, model will be available on Genoplot for anyone interested.

Fit looks bad. How does it look without simulated ancestry? Ust Ishim? using Onge will be better option.

fit is generally correlated to temporal proximity of the ancestral source population. All these sources are thousands of years old from Paleolithic, roughly 40,000-10,000BC; Onge is very drifted so are rest of the populations, I don't expect them to improve fit but if u say so, I ran an example using only Indian tribals since they have the lowest fit:

Thanks but how does simulated AASI break down under such models? is it Onge/Hoabnian related since that is what they prefer when simulation is not used?

[vishankar]

here are the results of a nair with tellicherry roots...


Target:nair tellicherry scaled
Distance: 2.4542% / 0.02454220
82.4 IRN_Shahr_I_Sokhta_BA2
6.8 RUS_Sintashta_MLBA
4.2 Levant_PPNB
2.4 Jarawa
2.2 WHG
1.2 MAR_Iberomaurusian
0.8 Han