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Eurasian DNA's avatar

Kudos to you for investing the time to better understand scientific methods and Kurd demography. I highly encourage others from South & West Asia to do the same. The more the merrier!

Learning to properly use acceptable DNA analysis tools is a steep learning curve as I learned around 10 years ago when I got involved in this and inspite of investing 1000s of hours using and developing new bioinformatics methods I’m still learning.

A quick note about qpAdm which I have discussed a few years ago on my website It’s a great tool but needs to be properly understood.

1- The Null hypothesis in qpAdm is that the mixture model outputted is true. P-value of 0.05 is usually used as a significance threshold. P-value signifies probability there’s Null or no difference from the Null hypothesis of the mixture model being true.

Thus the higher the p-value the more evidence that the mixture model outputted is true. That’s why we favor models with higher p-values. P<0.05 is used to reject the model

2- Years ago we found that the genotyping pipeline type and QC affects p-value. For example mixing Simons samples with 1000G and HGDP and 23andMe as well as joint genotyping such as often used in GATK. We have also found that the flipping of minor and major alleles in Plink also causes issues when Plink processed samples are merged with VCF data obtained directly from genotyping pipelines. Also SNP IDs shouldn’t be taken for granted as we have had to correct 1000s in some datasets.

That’s why we have invested alot of money to acquire powerful computers to do our own fasta file genotyping and review SNP IDs in all samples. We always also address ascertainment bias which can be a killer in DNA analysis.

In science the more evidences you have in support of your argument the better it will be supported. That’s why we go the extra mile in our studies such as

“ Post Iron Age Introduction of Y-DNA R1a R-Z94 and East Asian Ancestry into Kurdistan, North Iran, and Turkey with the Parthians and Scythians” at www.EurasianDNA.com and point out:

1- R1a-Z94 became part of demography of Kurds and other ethnic groups in western Iran more recently than 2500 years ago based on the lack thereof in the hundreds of samples published in the “Southern Arc” study.

2- We corroborate Parthians, Scythians and Turkics being the vector for R1a-Z94 introduction by showing that R1a-Z94 rich populations in West Asia are shifted to the exclusion of Armenians and SW Iranians on the Siberian, E.Asian and C Asian Iranian axis using 20 or so pright references in qpWave and qpAdm. We use both contemporary and higher quality ancients to show this.

@Nezih

Your model using Sintashta can be interpreted as “Sintashta like non R1a” especially in light of the lower p-values and lack of R1a in Hasanlu’s time. It’s clear that pure Sintashtans didn’t exist anywhere especially near W Asia when R1a was introduced to Kurdistan about 2000 years ago. That vector must have been Parthian, Scythian and Turkic

We also were able to reject TKM-IA as BMAC+Sintashta in our study on our website a couple of years ago. Andronovo fared better which makes sense based on their larger distribution and proximity to BMAC.

You’ll find when using better quality samples and more SNPs and more pright references that Kurds model better as Iran-Chl/IA + Scythian/Sarmatian/Parthian than Iran-Chl/IA + TKM-IA

Best, Dilawer

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Vikram Raj's avatar

The model for Hasanlu_LBA with Sintashta is wrong. It does not hold up to scrutiny, and neither does it explain the R1b in the Hasanlu samples. I'm afraid you are using it to push agendas rather than arrive at the truth.

I have tried to replicate your model here, but it fails.

https://a-genetics.blogspot.com/2022/11/hasanlu-model-critique.html

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