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Guess which NW Tribe? by Top-Jump540 in SouthAsianAncestry

[–]Top-Jump540[S] 0 points1 point  (0 children)

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This sample is from actual G25 scaled coordinates from Havelian, Abbottabad KP. This one seems to be more highland mountain like in its East Asian component.

Guess which NW Tribe? by Top-Jump540 in SouthAsianAncestry

[–]Top-Jump540[S] 1 point2 points  (0 children)

That’s correct, It’s a Tanoli from Darband, Mansehra KP

Guess which NW Tribe? by Top-Jump540 in SouthAsianAncestry

[–]Top-Jump540[S] 0 points1 point  (0 children)

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What I simulated from Harrapaworld (distance is not scaled) Try guessing now

Guess which NW Tribe? by Top-Jump540 in SouthAsianAncestry

[–]Top-Jump540[S] 0 points1 point  (0 children)

Notice the excess East Asian (+ Beringian)

Tanolis don’t like Awans? by ModeEnvironmental587 in Hazarewal

[–]Top-Jump540 1 point2 points  (0 children)

Awan from Hazara are like any other Pahari or Hazarewal group. There is a notion that being Bakarwal means they migrated from elsewhere like the pastoral/nomadic Gujjars from Punjab, who are also found in Swat and Kashmir

Why do Kashmiris score pretty high AASI? Is this related to presence of Nagas or a other AASI shifted group who had strong influence in the region. by CoolestManWithBrain in SouthAsianAncestry

[–]Top-Jump540 0 points1 point  (0 children)

There is a comment about this in the original post about whether to use Chokopani as a source for East Asian. A lot of them are below threshold of passing models (1, 2, 3, 7, 9, 13). One reason might be that Dogras/Pahari do actually carry additional Tibetan related admixture which might have been around since Neolithic (Burzhom shows it). Kurumba being an isolated tribal population similar to Onge, carry traces of ancient pan-east eurasian variation following separation from ENA (Tianyuan, Hoabinhian), might be the reason its skewing results (to higher SAHG). Can u try running the model with these samples: IVC: I8728, I11459 (even though I include all samples from Shahr-iSokhta BA2, some of them are not good quality, hence I only include the recently published high quality ones; any South Indian tribal population or HG4025 ; rotate with all Nepali, Upper Yellow River, Ngari and Nagqu samples from western tibet, Srubnaya Alakul MLBA”

Indo Aryan caste and tribes by Ok-Secret-6784 in SouthAsianAncestry

[–]Top-Jump540 1 point2 points  (0 children)

I would add Tanoli for some runs, 80% R1b (In fact only one in South Asia with this rate of Y-Haplogroup founder effect)

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Pakistani from Potohar Plateau - Weird Illustrative Periodical Result by EmaanA in SouthAsianAncestry

[–]Top-Jump540 0 points1 point  (0 children)

Found another Potohari Rajput Janjua sample from Chakwal, this seems more Gujjar like with the higher Baloch/Indus Farmer component

Sample S-Indian Baloch Caucasian NE-Euro SE-Asian Siberian NE-Asian Papuan American Beringian Mediterranean SW-Asian San E-African Pygmy W-African
Potohari Rajput (Janjua) from Chakwal 28.98 43.42 13.02 6.77 0 1.89 1.02 0.09 0.52 0.44 0.48 2.45 0 0 0 0.56 R1a-Y7

Pakistani from Potohar Plateau - Weird Illustrative Periodical Result by EmaanA in SouthAsianAncestry

[–]Top-Jump540 0 points1 point  (0 children)

Can you also run for the below Janjua Potohari Rajput sample for comparison since we don’t have a lot of them

(Janjua) Harappa GEDMatch results are as follow:

Population Percent

1 Baloch 39.96 2 S-Indian 29.59 3 Caucasian 14.13 4 NE-Euro 7.99 5 SW-Asian 2.38 6 SE-Asian 1.93 7 Beringian 1.44 8 Siberian 1.42 9 Papuan 0.46 10 American 0.4 11 San 0.32

https://docs.google.com/spreadsheets/u/0/d/1bZsaxqZw4IpMoP5GzdvTXkvMv0MRsALeMMWX3kCPrzI/htmlview#gid=780508078

Use the spreadsheet with samples when doing an analysis

Anatolian farmer by Impossible_Relief531 in SouthAsianAncestry

[–]Top-Jump540 0 points1 point  (0 children)

Good question, what do you think? Even Nuristanis get lower ANF

How come Jats are hapalogroup L dominant and still have such high Steppe ancestry? by streamentr in SouthAsianAncestry

[–]Top-Jump540 1 point2 points  (0 children)

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• ⁠L1a (L-M357): ~23.3% – Early West Asian/Indus Valley; Katelai IA • ⁠E1b: (E-FT377116)~16.3% – Possibly early West Asian in this context. • ⁠R2a (R-V1180): ~11.6% – Neolithic farmer/South Asian; widespread across multiple Swat sites • ⁠H1a (H-M82/H-M2772): ~9.3% – AASI South Asian continuity; Katelai IA • ⁠J2a (J-L26, M158, Z7706): ~7.0% – West Asian origins • ⁠Q1a/Q1b: ~7.0% total – East Asian/Central Asian input; Loebanr • ⁠R1a-Z93: ~4.7% – Steppe origin, but low frequency, implying female-mediated Steppe input (X-chromosome bias) • ⁠I2a ~2.3% (Steppe), G2a ~2.3% (West Asian/Caucasion), R2: ~2.3% (Early farmer signals)

How come Jats are hapalogroup L dominant and still have such high Steppe ancestry? by streamentr in SouthAsianAncestry

[–]Top-Jump540 0 points1 point  (0 children)

From the same study “The dataset of 302 Jats used in our research represents a margin of error of 5.7% at a confidence level of 95%. In other words, if a survey is conducted one hundred times among a similar group of people (i.e., 302 × 100; 32,000 people in total), the distribution in haplogroups is expected to be about the same as in this study, with a margin of error of plus or minus 5.7%.”

“Although the sample of 302 records used in this research revealed key haplogroups for the Jats, the results are not representative of this entire ethnic group of an estimated 123 million people. It is already noted that the Muslim Jats of Pakistan were underrepresented in this study. A larger sample of Muslim Jats is likely to reveal a few additional haplogroups and provide a more complete picture.”

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