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Dr_McNinja
03-16-2015, 06:29 PM
This was getting off-topic in the news thread. I tweaked the spreadsheet a little using invented ancient populations:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=22

It's in both K7 and K8 sheets. In K7 I used Yamnaya-like for PIE Steppe and in K8 I used a South Central Asian-like ancestor of Yamnaya to represent Steppe-origin PIE influence on South Asia. They both peak in India at around 38-39% of Haryana Jatts and are tracking the WHG component.

The populations I put in are what I felt was missing to geographically separate the various clusters.

South Asian - Himalayan (Pre/Early Neolithic) - This could also be considered "East Central Asian" in a way, since its impact would be felt far towards Central Asia. It's 33 ANE, 30 ASE, 36 East Eurasian (EDITED).
South Asian (Pre/Early Neolithic) - Representing a hypothetical first South Asian population to result from a mixing of ENF and ASE, it's 50/50 ENF:ASE. (Note, these don't represent concurrent populations or layers of admixture)

South Central Asian (Pre/Early Neolithic) - This represents the Gedrosia to Central Asia area, the first wave of ANE into the area. 70 ANE, 20 ASE, 10 ENF. It could be considered "West Central Asian" relative to the Himalayan component.
South Central Asian (Early-Mid Neolithic) - This represents the same area as above, but is specifically dealing with PIE influence since it's based on Steppe populations and tracks the WHG component.

Near East Farmers (Early Neolithic) - This is basically leftover ENF. (This mostly mixes later with Pre/Early Neolithic South Central Asian to form Gedrosian)

Dr_McNinja
03-17-2015, 03:20 AM
Near East Farmers (Early Neolithic) - This is basically leftover ENF. (This mostly mixes later with Pre/Early Neolithic South Central Asian to form Gedrosian)I added Everest's zombies of Harappa's S-Indian and Baloch components. Baloch comes out almost exactly 50% Pre/Early Neolithic South Central Asian and 50% Early Neolithic Near East Farmers in both K7 and K8 versions.

tamilgangster
03-17-2015, 08:43 AM
This was getting off-topic in the news thread. I tweaked the spreadsheet a little using invented ancient populations:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=22

It's in both K7 and K8 sheets. In K7 I used Yamnaya-like for PIE Steppe and in K8 I used a South Central Asian-like ancestor of Yamnaya to represent Steppe-origin PIE influence on South Asia. They both peak in India at around 38-39% of Haryana Jatts and are tracking the WHG component.

The populations I put in are what I felt was missing to geographically separate the various clusters.

South Asian - Himalayan (Pre/Early Neolithic) - This could also be considered "East Central Asian" in a way, since its impact would be felt far towards Central Asia. It's 33 ANE, 30 ASE, 36 East Eurasian (EDITED).
South Asian (Pre/Early Neolithic) - Representing a hypothetical first South Asian population to result from a mixing of ENF and ASE, it's 50/50 ENF:ASE. (Note, these don't represent concurrent populations or layers of admixture)

South Central Asian (Pre/Early Neolithic) - This represents the Gedrosia to Central Asia area, the first wave of ANE into the area. 70 ANE, 20 ASE, 10 ENF. It could be considered "West Central Asian" relative to the Himalayan component.
South Central Asian (Early-Mid Neolithic) - This represents the same area as above, but is specifically dealing with PIE influence since it's based on Steppe populations and tracks the WHG component.

Near East Farmers (Early Neolithic) - This is basically leftover ENF. (This mostly mixes later with Pre/Early Neolithic South Central Asian to form Gedrosian)

How did you come up with these populations, and do they represent possible ancestral populations. Are these populations mutually exclusive. If so what would be their chronological order of when these populatins entered south asia and which group would you speculate to to be the bearer of dravidian languages

Dr_McNinja
03-17-2015, 02:52 PM
How did you come up with these populations, and do they represent possible ancestral populations. Are these populations mutually exclusive. If so what would be their chronological order of when these populatins entered south asia and which group would you speculate to to be the bearer of dravidian languages

The two South Asian populations would represent two possible subcontinental ancestors of modern South Asians, themselves comprised of ANE, ASE, East Eurasian, and ENF admixture. I figure North India/Himalayas would have been a reservoir of habitation and population admixture since as early as multiple human populations inhabited the subcontinent, at least as much as Southeast India.

The Pre/Early Neolithic SC-Asian and Early Neolithic Farmers are together akin to the Baloch/Gedrosian component, but split up represent their possible ancestor populations.

The primary South Asian component is the most tricky, since we have no idea what that would really be without ancient DNA. In this scenario, I'm supposing ENF got to the South at least, before ANE. ANE came in to the North (Himalayas) and swept into SC-Asia in a major way before mixing with a bunch of ENF to give modern day "Gedrosian". The exact area of this is speculative, but I suppose it could have occurred anywhere between Balochistan and Central Asia.

The Steppe component is the most recent, chronologically, and just represents the PIE expansion. Except for the PIE component, the others would be chronologically overlapping pre and early neolithic timeframes.

Another probably valid (if not moreso) scenario is ANE hitting South Asia before the early neolithic farmers. So South Asian would be like 50 ASE/50 ANE. It wouldn't alter the proportions in the spreadsheet too much though, a little less Gedrosian total, a little more South Asian total, a lot more leftover ENF.

parasar
03-17-2015, 05:51 PM
Dr_McNinja,

I was wondering if in the absence of any ancient DNA from South Asia you (or someone else who has the genome data from Reich) could try using the following two as proxies for two south Asian components:
1. Ust-Ishim
2. ID I0174 Starcevo_EN MAMS-11939

Thanks.

Sein
03-17-2015, 06:27 PM
Dr_McNinja,

I was wondering if in the absence of any ancient DNA from South Asia you (or someone else who has the genome data from Reich) could try using the following two as proxies for two south Asian components:
1. Ust-Ishim
2. ID I0174 Starcevo_EN MAMS-11939

Thanks.

Interestingly, the best fit David has yet to find for the HGDP Pashtuns involves Starcevo_EN!

47% Yamnaya + 43.2% Starcevo_EN + 9.8% Dai

In addition to being the best fit David has found so far, it is also a good fit, in contrast to the other two fits (50.1% BedouinB + 35.3% MA1 + 14.6% Ami, and 54% Armenian + 31.1% Yamnaya + 15% Kusunda).

Dr_McNinja
03-17-2015, 08:21 PM
Dr_McNinja,

I was wondering if in the absence of any ancient DNA from South Asia you (or someone else who has the genome data from Reich) could try using the following two as proxies for two south Asian components:
1. Ust-Ishim
2. ID I0174 Starcevo_EN MAMS-11939

Thanks.
Has anyone uploaded Starcevo to Gedmatch or run it through K7 or K8?

Ust-Ishim is too difficult to use as a spreadsheet filter on K7/K8 results, it would have to be done in a supervised run of admixture likely. It isn't tracking any single component per say and has a ton of African.

newtoboard
03-17-2015, 10:59 PM
So who are your Sea of Mamara dairy farmers now that they can't really be R1b, Jean? Y J2?

everest59
03-17-2015, 11:18 PM
I uploaded a Behar Paniya sample to Gedmatch :M960763.

At 200 snp's, 1 cm and bunching limit at 25, it gets no match with MA1.

everest59
03-18-2015, 12:27 AM
Interestingly, the best fit David has yet to find for the HGDP Pashtuns involves Starcevo_EN!

47% Yamnaya + 43.2% Starcevo_EN + 9.8% Dai

In addition to being the best fit David has found so far, it is also a good fit, in contrast to the other two fits (50.1% BedouinB + 35.3% MA1 + 14.6% Ami, and 54% Armenian + 31.1% Yamnaya + 15% Kusunda).

I tried Pathans as a mix of Yamnaya; BedouinB and Dai. I get:
best coefficients: 0.540 0.323 0.136

The software is pretty sensitive to popright populations.

For Sindhis:
0.486 0.366 0.148

Generalissimo
03-18-2015, 12:32 AM
I tried Pathans as a mix of Yamnaya; BedouinB and Dai. I get:
best coefficients: 0.540 0.323 0.136

What are the standard errors, chisq and tail prob for this?

And yes, BedouinB have some Sub-Saharan admixture, which is problematic, since the right set of populations always work better with some Sub-Saharan groups included.

Sein
03-18-2015, 12:33 AM
I tried Pathans as a mix of Yamnaya; BedouinB and Dai. I get:
best coefficients: 0.540 0.323 0.136

The software is pretty sensitive to popright populations.

For Sindhis:
0.486 0.366 0.148

Pretty cool.

What populations did you use? David uses these, as he says they give better results:

Biaka
Bougainville
Chukchi
Eskimo
Han
Ju_hoan_North
Karitiana
Mbuti
Ulchi
Yoruba

Also, is the fit good?

everest59
03-18-2015, 12:42 AM
What are the standard errors, chisq and tail prob for this?

And yes, BedouinB have some Sub-Saharan admixture, which is problematic, since the right set of populations always work better with some Sub-Saharan groups included.

Yeah, I included some subsaharan groups in pright populations.

Tail prob is 0.78. Chisq at 0.491

Errors for the jacknife mean would be: std. errors: 0.019 0.017 0.008

everest59
03-18-2015, 12:46 AM
As far as pright populations, I have been experimenting a little bit there. Here is what I used:

Yoruba
Mbuti
Karitiana
Surui
Han

A few redundant ones I guess. I thought about Papuan a little bit. Didn't know what to do there, since I need to account for ASI.

everest59
03-18-2015, 12:58 AM
Pretty cool.

What populations did you use? David uses these, as he says they give better results:

Biaka
Bougainville
Chukchi
Eskimo
Han
Ju_hoan_North
Karitiana
Mbuti
Ulchi
Yoruba

Also, is the fit good?


I just asked Dr. Reich for the dataset that has the Onge. Should be more interesting. I won't be able to distribute it, but I think publishing results like above should not be a problem.

everest59
03-18-2015, 01:07 AM
Dr_McNinja,

I was wondering if in the absence of any ancient DNA from South Asia you (or someone else who has the genome data from Reich) could try using the following two as proxies for two south Asian components:
1. Ust-Ishim
2. ID I0174 Starcevo_EN MAMS-11939

Thanks.

Sindhi as a mix of Ust-Ishim and Starcevo did not work. Is that what you meant?

Dr_McNinja
03-18-2015, 02:55 AM
I complicated the spreadsheet compound components further:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=43

The first set is the light purple from before. The compound components of this (made from totaling the South Asian components into one, the Gedrosian components into one, etc) of this are underlined. The single Steppe/PIE component is shared between the two.

The third set to the right is colored light red. And its totaled/compounded components (adding up South Asian, Gedrosian, etc) is in Italics to the right of it.

This third set has two Steppe components. Yamnaya and a SC-Asian-like precursor of Yamnaya (labeled as Southwest Asian or West Asian or Central Asian or South Central Asian-type PIE Steppe population either ancestral to or derived from Yamnaya-type... basically it is south and/or east of Yamnaya).

The reason I put in that second Steppe population was because I figured for east-of-Iran (Afghanistan, Central Asia, and Subcontinent), the extra Caucasian admixture can represent one of two scenarios:

1. A "basal" admixture layer of sorts, which gives way to South Asian-type across the Indus, and increases linearly to the Caucasus. A single steppe layer "overlays" this.
2. Their WHG came from a different Steppe-source PIE population which had more West Asian-type admixture and lower WHG.

If #2, this would last right through the end of the Neolithic and as recent as 2-3kybp. The Yamnaya-type would, by contrast, be quite ancient.

This cut into excess ENF and, after accounting for Gedrosian, left very little "Excess Caucasian". In fact, I'd wager "Excess Caucasian" here at the very end of all this, if sticking out, is possibly indicative of real non-Steppe non-Gedrosian West or Southwest Asian-type ancestry from South Central Asia or further west (so there's some in Sindhis/Balochis/etc). Except for South Indians (like HAP S-Indian and Bengali individual who get ~10% excess and it's likely ancient). For instance, user "fil" has 3.12% left over, just enough above noise levels to indicate something.

So "Steppe/PIE" hits peaks at 43% in HRP0170 Haryana Jatt and 48% in HRP0370 Afghan Pashtun.

I think the WHG in Afghanistan could very well be from a completely different but related (Indo-Iranian) population than the one which brought it to India.

Basically this picture: http://upload.wikimedia.org/wikipedia/commons/b/b8/Indo-Iranian_origins.png seems more genetically relevant now. As for which population brought which % of WHG where, that will require ancient remains to fully figure out. But this is a possibility I didn't seriously entertain before.

parasar
03-18-2015, 03:47 AM
Sindhi as a mix of Ust-Ishim and Starcevo did not work. Is that what you meant?

I am looking to find out the phylogenetic placement of Ust-Ishim vis a vis South Asians. My thinking was that most South Asians could be modelled as Basal + Ust-Ishim, with Starcevo_EN standing as a proxy for Basal.

tamilgangster
03-18-2015, 11:11 AM
I complicated the spreadsheet compound components further:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=43

The first set is the light purple from before. The compound components of this (made from totaling the South Asian components into one, the Gedrosian components into one, etc) of this are underlined. The single Steppe/PIE component is shared between the two.

The third set to the right is colored light red. And its totaled/compounded components (adding up South Asian, Gedrosian, etc) is in Italics to the right of it.

This third set has two Steppe components. Yamnaya and a SC-Asian-like precursor of Yamnaya (labeled as Southwest Asian or West Asian or Central Asian or South Central Asian-type PIE Steppe population either ancestral to or derived from Yamnaya-type... basically it is south and/or east of Yamnaya).

The reason I put in that second Steppe population was because I figured for east-of-Iran (Afghanistan, Central Asia, and Subcontinent), the extra Caucasian admixture can represent one of two scenarios:

1. A "basal" admixture layer of sorts, which gives way to South Asian-type across the Indus, and increases linearly to the Caucasus. A single steppe layer "overlays" this.
2. Their WHG came from a different Steppe-source PIE population which had more West Asian-type admixture and lower WHG.

If #2, this would last right through the end of the Neolithic and as recent as 2-3kybp. The Yamnaya-type would, by contrast, be quite ancient.

This cut into excess ENF and, after accounting for Gedrosian, left very little "Excess Caucasian". In fact, I'd wager "Excess Caucasian" here at the very end of all this, if sticking out, is possibly indicative of real non-Steppe non-Gedrosian West or Southwest Asian-type ancestry from South Central Asia or further west (so there's some in Sindhis/Balochis/etc). Except for South Indians (like HAP S-Indian and Bengali individual who get ~10% excess and it's likely ancient). For instance, user "fil" has 3.12% left over, just enough above noise levels to indicate something.

So "Steppe/PIE" hits peaks at 43% in HRP0170 Haryana Jatt and 48% in HRP0370 Afghan Pashtun.

I think the WHG in Afghanistan could very well be from a completely different but related (Indo-Iranian) population than the one which brought it to India.

Basically this picture: http://upload.wikimedia.org/wikipedia/commons/b/b8/Indo-Iranian_origins.png seems more genetically relevant now. As for which population brought which % of WHG where, that will require ancient remains to fully figure out. But this is a possibility I didn't seriously entertain before.

South Indian tribals lack the Baloch component on harappa DNA, but have elevated levels of caucasus component. The excess caucasian component is due to elevated amounts of the some basal eurasian caucasian type.

Also It is very important to note that on harappa DNA that Baloch component is lacking in many adivasi populations. They need to run a ANE k8 run on these adivasi populations, because then one can determine, whether ANE of ENF entered the subcontinent first.

Dr_McNinja
03-19-2015, 02:28 PM
South Indian tribals lack the Baloch component on harappa DNA, but have elevated levels of caucasus component. The excess caucasian component is due to elevated amounts of the some basal eurasian caucasian type.

Also It is very important to note that on harappa DNA that Baloch component is lacking in many adivasi populations. They need to run a ANE k8 run on these adivasi populations, because then one can determine, whether ANE of ENF entered the subcontinent first.

Where are you seeing the Adivasi? They're not in the Harappa spreadsheet.

Harappa S-Indian is 40% ENF and 22-23% ANE and ASE so any population that had it had all three. It's a majority West Eurasian component.

parasar
03-19-2015, 03:23 PM
Where are you seeing the Adivasi? They're not in the Harappa spreadsheet.

Harappa S-Indian is 40% ENF and 22-23% ANE and ASE so any population that had it had all three. It's a majority West Eurasian component.

In eastern India the Austrics (Ho, Munda, Santhal, Birhor, Kharia, etc.) are generally called Adivasi. Some Dravidian lines in the Bihar region, such as the Oraon, Gond, etc. are also often included in the Adivasi term.

A reasonably decent summary:
http://www.pucl.org/Topics/Dalit-tribal/2003/adivasi.htm

The major waves of ingress into India divide the tribal communities into Veddids, similar to the Australian aborigines, and the Paleamongoloid Austro-Asiatic from the north-east. The third were the Greco-Indians who spread across Gujarat, Rajasthan and Pakistan from Central Asia. The fourth is the Negrito group of the Andaman Islands - the Great Andamanese, the Onge, the Jarawa and the Sentinelese who flourished in these parts for some 20,000 years but who could well become extinct soon. The Great Andamanese have been wiped out as a viable community with about only 30 persons alive as are the Onges who are less than a 100.

In the mid-Indian region, the Gond who number over 5 million, are the descendants of the dark skinned Kolarian or Dravidian tribes and speak dialects of Austric language family as are the Santhal who number 4 million. The Negrito and Austroloid people belong to the Mundari family of Munda, Santhal, Ho, Ashur, Kharia, Paniya, Saora etc. The Dravidian groups include the Gond, Oraon, Khond, Malto, Bhil, Mina, Garasia, Pradhan etc. and speak Austric or Dravidian family of languages. The Gujjar and Bakarwal descend from the Greco Indians and are interrelated with the Gujjar of Gujarat and the tribes settled around Gujranwala in Pakistan.

There are some 200 indigenous peoples in the north-east. The Boro, Khasi, Jantia, Naga, Garo and Tripiri belong to the Mongoloid stock like the Naga, Mikir, Apatani, Boro, Khasi, Garo, Kuki, Karbi etc. and speak languages of the Tibeto-Burman language groups and the Mon Khmer. The Adi, Aka, Apatani, Dafla, Gallong, Khamti, Monpa, Nocte, Sherdukpen, Singpho, Tangsa, Wancho etc of Arunachal Pradesh and the Garo of Meghalaya are of Tibeto-Burman stock while the Khasi of Meghalaya belong to the Mon Khmer group. In the southern region, the Malayali, Irula, Paniya, Adiya, Sholaga, Kurumba etc belong to the proto-Australoid racial stock speaking dialects of the Dravidian family.

Dr_McNinja
03-19-2015, 03:43 PM
Here's Harappa groups with K7 components:

https://docs.google.com/spreadsheets/d/1a6yQDE6EBcAaDJWWoACWi8SAc8OVn1Cgr1lJTR8Kc9I/edit#gid=0

Dr_McNinja
03-19-2015, 03:51 PM
Those results will differ from a direct K7/K8 run of a sample, but it's hard to imagine all of the ANE/ENF disappearing, even from the Onge.

parasar
03-19-2015, 04:15 PM
Here's Harappa groups with K7 components:

https://docs.google.com/spreadsheets/d/1a6yQDE6EBcAaDJWWoACWi8SAc8OVn1Cgr1lJTR8Kc9I/edit#gid=0

The Paniya, Santhal, Ho etc. look to be of the type tamilgangster was referring to. The Santhal looks to have mixed a bit even though they were used as the ASI surrogate by Reich et al.

We applied this test to each of the 18 Indian Cline groups in turn using CEU=Y and Santhal=W, and obtained significantly negative scores for 16 groups (Table 2) as assessed by a jackknife analysis33 (Methods). These results do not mean that the Indian groups descend from mixtures of European and Austro-Asiatic speakers, but only that they derive from at least two different groups that are (distantly) related to CEU and Santhal ...
We use CEU as an unmixed surrogate for the Ancestral North Indian (ANI) population and for the sake of argument, we consider Santhal to be an unmixed surrogate for the Ancestral South Indian (ASI) population

parasar
03-19-2015, 04:30 PM
Those results will differ from a direct K7/K8 run of a sample, but it's hard to imagine all of the ANE/ENF disappearing, even from the Onge.

For the Ongee, I doubt they have any ENF or ANE. We have to remember that even though ASI forms a clade with the Ongee, the Ongee split from ASI is very old, as old as the ANE split, and ~300 generations after the ancestral ASI and ancestral ANI split.

So for 1700 generations the Ongee have been isolated both from ANE (Cp) and ASI, and for 2000 generations from ancestral ANI (Ep).

http://www.gnxp.com/blog/uploaded_images/indiaMODEL-783101.png

Dr_McNinja
03-19-2015, 04:43 PM
For the Ongee, I doubt they have any ENF or ANE. We have to remember that even though ASI forms a clade with the Ongee, the Ongee split from ASI is very old, as old as the ANE split, and ~300 generations after the ancestral ASI and ancestral ANI split.

So for 1700 generations the Ongee have been isolated both from ANE (Cp) and ASI, and for 2000 generations from ancestral ANI (Ep).

http://www.gnxp.com/blog/uploaded_images/indiaMODEL-783101.pngThere haven't been any studies published since Malta which compares ANE to Onge, have there? If Everest can get the Onge data from Reich, that would be an interesting comparison to check.

parasar
03-19-2015, 07:07 PM
There haven't been any studies published since Malta which compares ANE to Onge, have there? If Everest can get the Onge data from Reich, that would be an interesting comparison to check.
Yes the Onge data from Reich would help clarify some of the relationships, though I bet Reich and team know.

The Ust-Ishim paper had compared Ust-Ishim to both MA-1 and the Ongee. Surprisingly Ust-Ishim was slightly closer to the current Andaman Ongee that a fellow (but not as ancient) Siberian MA-1.
Tells me that MA-1 line had already split from the Ongee line well before 24000ybp. This would be consistent with Reich's diagram showing a 42500ybp split. Ust-Ishim at 45000ybp is just before that split. He is essentially part of the clade that Reich calls ASI ancestors.

tamilgangster
03-20-2015, 12:16 PM
Where are you seeing the Adivasi? They're not in the Harappa spreadsheet.

Harappa S-Indian is 40% ENF and 22-23% ANE and ASE so any population that had it had all three. It's a majority West Eurasian component.

Look at the tribal population in India, EG Bonda, Gadaba, Paniya Irula, they all lack baloch component

tamilgangster
03-20-2015, 12:18 PM
Here's Harappa groups with K7 components:

https://docs.google.com/spreadsheets/d/1a6yQDE6EBcAaDJWWoACWi8SAc8OVn1Cgr1lJTR8Kc9I/edit#gid=0

These estimates are way off, There is no way that tribal populations have less ASE than caste populations. There ENF is over estimated.

parasar
03-20-2015, 02:21 PM
http://www.pucl.org/Topics/Dalit-tribal/2003/adivasi.htm

The major waves of ingress into India divide the tribal communities into Veddids, similar to the Australian aborigines, and the Paleamongoloid Austro-Asiatic from the north-east. The third were the Greco-Indians who spread across Gujarat, Rajasthan and Pakistan from Central Asia. The fourth is the Negrito group of the Andaman Islands - the Great Andamanese, the Onge, the Jarawa and the Sentinelese who flourished in these parts for some 20,000 years but who could well become extinct soon. The Great Andamanese have been wiped out as a viable community with about only 30 persons alive as are the Onges who are less than a 100.
...


Regarding the four groups above - Negrito, Veddids, Mongoloid, Caucasoid - this is how Genetiker connects them:
https://genetiker.wordpress.com/2014/11/01/analyses-of-the-ust-ishim-genome/

The Veddoid South Asian or Indian components were the largest components for Ust’-Ishim for all of the calculators that had such components. The second-largest components tended to be Mongoloid Southeast Asian or East Asian components...
...Negritoids in India evolved into Veddoids, and Veddoids then evolved into Caucasoids and Mongoloids.

Dr_McNinja
03-20-2015, 02:29 PM
These estimates are way off, There is no way that tribal populations have less ASE than caste populations. There ENF is over estimated.
That's what the Harappa calculator is basically saying. Everest made a zombie of the Harappa components and ran it through the ANE K7 calculator, I used those values to calculate the ANE/ASE/ENF/WHG.

Dr_McNinja
03-23-2015, 04:38 AM
Some charts of that:

Detailed: http://i.imgur.com/6TqJV6w.png and http://i.imgur.com/v8Qeq8c.png

Totaled up: http://i.imgur.com/vPtPZpv.png and http://i.imgur.com/HYdtK99.png

Main one in question:

http://i.imgur.com/v8Qeq8c.png

The red (Steppe-1 (Y)) is Yamnaya.

I thought at first the Brahmins and associated groups near the Indus might represent a later, second wave (in line with the Pashtun historicity who have a lot of Steppe-2). But if the Brahmins are older than Jatts in India (the higher Himalayan which is based on East Eurasian probably supports that, but it could be the reverse) then that means either the same sort of Steppe population (blue-like) made two migrations separated by a large period of time, or that these were different Indo-European groups, more similar to each other than to the Yamnaya-like. The high excess Caucasian in Pashtun kind of reinforces that the blue population isn't a perfect fit, and their share might be even larger.

Regardless of which Steppe populations we use as proxies, I believe this pattern will remain.

Dr_McNinja
03-23-2015, 11:34 AM
Some charts of that:

Detailed: http://i.imgur.com/6TqJV6w.png and http://i.imgur.com/v8Qeq8c.png

Totaled up: http://i.imgur.com/vPtPZpv.png and http://i.imgur.com/HYdtK99.png

Main one in question:

http://i.imgur.com/v8Qeq8c.png

The red (Steppe-1 (Y)) is Yamnaya.

I thought at first the Brahmins and associated groups near the Indus might represent a later, second wave (in line with the Pashtun historicity who have a lot of Steppe-2). But if the Brahmins are older than Jatts in India (the higher Himalayan which is based on East Eurasian probably supports that, but it could be the reverse) then that means either the same sort of Steppe population (blue-like) made two migrations separated by a large period of time, or that these were different Indo-European groups, more similar to each other than to the Yamnaya-like. The high excess Caucasian in Pashtun kind of reinforces that the blue population isn't a perfect fit, and their share might be even larger.

Regardless of which Steppe populations we use as proxies, I believe this pattern will remain.
One explanation is that a similar proportion of ANE has fractured into ENA, or WHG into something else, leaving excess Caucasian in these individuals. Without ancient DNA we can't do much beyond hypothesizing scenarios about who came first.

Vadim Verenich
03-23-2015, 12:32 PM
Would you like to comment on my latest offerings?

What concerns me most is the nature of relationship between ANE(EHG) and ANI. From the results below we could speculate that it is essentially the same component.
However, my guts tell me that this is not the case, and ANI could be potentially modeled as a mixture between ANE and something else.


https://docs.google.com/spreadsheets/d/1zjIL0I4Ybu5ZVxDao2RU82MTvrKVd8piQulBt4-DnKM/edit#gid=301736145
https://docs.google.com/spreadsheets/d/1-U4ky4U2NSJmayryc3ESwhIl7K7DfNYGME_iYrixMrM/edit#gid=0

Dr_McNinja
03-23-2015, 12:59 PM
Would you like to comment on my latest offerings?

What concerns me most is the nature of relationship between ANE(EHG) and ANI. From the results below we could speculate that it is essentially the same component.
However, my guts tell me that this is not the case, and ANI could be potentially modeled as a mixture between ANE and something else.


https://docs.google.com/spreadsheets/d/1zjIL0I4Ybu5ZVxDao2RU82MTvrKVd8piQulBt4-DnKM/edit#gid=301736145
https://docs.google.com/spreadsheets/d/1-U4ky4U2NSJmayryc3ESwhIl7K7DfNYGME_iYrixMrM/edit#gid=0That... is very interesting. What is that ANI component? Is that unsupervised or supervised?

I don't suppose you could try to run a zombie of that ANI and ASI through Eurogenes K7? I'm extremely curious what its makeup is. I thought ANI would carry some WHG within it.

It looks like the "Gedrosian" component I've been getting in my charts here. Except it's peaking in India.

The WHG also seems a little high for the Pathan/Pashtun relative to the Eurogenes K8 which was supposed to distinguish WHG and ENF well and showed that WHG, while following the same pattern as before in South Asia, was significantly lower overall, peaking at around 5-6% in Pashtun and 7-8% in Haryana Jatts. In K7 they had 11-12% and 13-14% respectively and the WHG was also a little inflated when calculated indirectly in other calculators (like HarappaWorld) using zombies. How confident are you in these WHG/EEF components?

If the ANI component you got there doesn't have WHG, you could try to run a separate Steppe component based on a Yamnaya-like population to account for the WHG and see if it plays nice with ANI.

The numbers I used for varying Steppe estimations are in the past page or two here (35% WHG in Yamnaya and 19% WHG in the secondary Steppe population).

The Balochi also seem to have very high Sub-Saharan African.

Dr_McNinja
03-23-2015, 01:12 PM
Ah, the WHG looks like modern North/Eastern European and EEF looks like Atlantic-Mediterranean.

Vadim Verenich
03-23-2015, 01:16 PM
Dr_McNinja,

This is a proxy component to Reich's component and it has been inferred by running supervised admixture analysis of Indian populations with ANE-simulated zombies, and Kharija as surrogates of ASI component.

Vadim Verenich
03-23-2015, 01:21 PM
Eventually, "ANE" and "ANI" components in this K14 would sum up to Eurogenes' ANE.
But i believe that it is still be possible to split this universal component into subcomponents

Dr_McNinja
03-23-2015, 01:23 PM
Dr_McNinja,

This is a proxy component to Reich's component and it has been inferred by running supervised admixture analysis of Indian populations with ANE-simulated zombies, and Kharija as surrogates of ASI component.Can you release the calculator files? Or do you wish to modify it further?

Do you think it represents an actual ancestral population? Sort of a "Southern ANE" that fits with the ANE in South Asia?

Vadim Verenich
03-23-2015, 01:25 PM
Can you release the calculator files? Or do you wish to modify it further?

Do you think it represents an actual ancestral population? Sort of a "Southern ANE" that fits with the ANE in South Asia?

Yes, this is a plausible explanation.
And yes, i could release the calculator but only for offline R-usage

Dr_McNinja
03-23-2015, 02:21 PM
Btw, here was a chart of K23b I made from my spreadsheet: http://i.imgur.com/d1ainBE.png http://i.imgur.com/bJO6YZD.png

Dr_McNinja
03-23-2015, 03:09 PM
Eventually, "ANE" and "ANI" components in this K14 would sum up to Eurogenes' ANE.
But i believe that it is still be possible to split this universal component into subcomponents
Yeah, it looks like both ANE and ANI, despite being heavily Eurogenes-K7/K8-ANE leaning, have other stuff in them. Kalash have 22% ANE + 58% ANI in this, which is together most of their admixture.

For some reason, when I try to "Make a Copy" of the spreadsheet with modern populations, the data changes, and it shows Balochi with 80+% ANI as opposed to 52% which I see on your link. I manually copied stuff into a new sheet. (Edit: I figure it is mixing up your revision histories, no worries)

parasar
03-23-2015, 04:12 PM
...
Main one in question:

http://i.imgur.com/v8Qeq8c.png

The red (Steppe-1 (Y)) is Yamnaya.
...

Wouldn't you think that the ANE proxy MA-1 had all of the above except Early Neolithic Farmers?

parasar
03-23-2015, 04:16 PM
Would you like to comment on my latest offerings?

What concerns me most is the nature of relationship between ANE(EHG) and ANI. From the results below we could speculate that it is essentially the same component.
However, my guts tell me that this is not the case, and ANI could be potentially modeled as a mixture between ANE and something else.


https://docs.google.com/spreadsheets/d/1zjIL0I4Ybu5ZVxDao2RU82MTvrKVd8piQulBt4-DnKM/edit#gid=301736145
https://docs.google.com/spreadsheets/d/1-U4ky4U2NSJmayryc3ESwhIl7K7DfNYGME_iYrixMrM/edit#gid=0

Reich et al.'s ANI is a mix of ANE and ANI ancestors (the so called Basal).
So both your speculation and gut feeling have support.

Dr_McNinja
03-23-2015, 04:17 PM
Wouldn't you think that the ANE proxy MA-1 had all of the above except Early Neolithic Farmers?Yeah, but that's way too old to be useful in discerning which population migrations/settlements contributed to modern South Asian ancestry. These are supposed to represent <15kybp

The hypothetical "Pre/Early Neolithic SC-Asian" here represents close to early South Asian ANE (70% ANE), that had been in South Asia for a little while shortly before it mixed with ENF from Near East/West Asia and formed the hypothetical Gedrosian component.

Sein
03-23-2015, 05:45 PM
Eventually, "ANE" and "ANI" components in this K14 would sum up to Eurogenes' ANE.
But i believe that it is still be possible to split this universal component into subcomponents

Interestingly, the Yamnaya have a much higher amount of ANI, in comparison to their ANE.

Also, your ASI component seems very accurate.

Arbogan
03-23-2015, 08:19 PM
I'd like to participate if possible. I wonder how many waves of ANE actually made it into Iran. I always score high ANE on tests and gedrosia.

parasar
03-24-2015, 12:32 AM
Yeah, but that's way too old to be useful in discerning which population migrations/settlements contributed to modern South Asian ancestry. These are supposed to represent <15kybp

The hypothetical "Pre/Early Neolithic SC-Asian" here represents close to early South Asian ANE (70% ANE), that had been in South Asia for a little while shortly before it mixed with ENF from Near East/West Asia and formed the hypothetical Gedrosian component.

I have my doubts. There are mtDNA lines that almost exclusively in South Asia that are over 40000* year old. We have to await ancient DNA, but my prediction is that 45000ybp N. South Asians would have looked quite like Ust-Ishim, 24000ybp like MA-1 and 8000yb like Yamna. The steppe is essentially giving us a facsimile of different periods in N. South Asia.

*eg
http://ars.els-cdn.com/content/image/1-s2.0-S0002929707643523-gr5.jpg

Megalophias
03-24-2015, 01:35 AM
I have my doubts. There are mtDNA lines that almost exclusively in South Asia that are over 40000* year old. We have to await ancient DNA, but my prediction is that 45000ybp N. South Asians would have looked quite like Ust-Ishim, 24000ybp like MA-1 and 8000yb like Yamna. The steppe is essentially giving us a facsimile of different periods in N. South Asia.

I can see that with Ust'-Ishim, but why with the others? MA-1 would have been separated from South Asia by a massive belt of desert, belonging instead to a belt of tundra-steppe stretching across from Europe to East Asia. Yamnaya I think probably had some kind of connection to South Asia, but again there was quite a desert in between.

parasar
03-24-2015, 02:31 AM
I can see that with Ust'-Ishim, but why with the others? MA-1 would have been separated from South Asia by a massive belt of desert, belonging instead to a belt of tundra-steppe stretching across from Europe to East Asia. Yamnaya I think probably had some kind of connection to South Asia, but again there was quite a desert in between.

River bed travel, perhaps, or remnants of a similar type of population.

24000ybp puts us in the LGM. The LGM would have opened up the riverine travel channels. The rivers of northern India and central Asia must have been running completely dry, with nearly all of the non-African population restricted to the south of the Vindhyas and to SE Asia. The Angara-Yenisei too may not have had any water. Same with the Ob-Irtysh.

So I suspect MA1 was just barely hanging on due to the Baikal.

Arbogan
03-24-2015, 02:59 AM
Would you like to comment on my latest offerings?

What concerns me most is the nature of relationship between ANE(EHG) and ANI. From the results below we could speculate that it is essentially the same component.
However, my guts tell me that this is not the case, and ANI could be potentially modeled as a mixture between ANE and something else.


https://docs.google.com/spreadsheets/d/1zjIL0I4Ybu5ZVxDao2RU82MTvrKVd8piQulBt4-DnKM/edit#gid=301736145
https://docs.google.com/spreadsheets/d/1-U4ky4U2NSJmayryc3ESwhIl7K7DfNYGME_iYrixMrM/edit#gid=0

ANI=gedrosia= ANE+ENF, ENF most likely from southern Iraq or Iran. It would explain why I got a relatively high yamnaya score(for Kurds) on david's k6. In-contrast to the full similarity/overlap comparison by Mc.Ninja , were i'm even less similar to yamnaya than an Assyrian(Because of my lack of WHG). My genome is WHG poor, but rich on whatever ANE/ENF(correlates highy with gedrosia/south-central Asian/west-asia on admixture different) like combination that exists in yamnaya. It's also the reason why I get weird contributions from uralo-Baltic components, but never from purely European KS on admixture tests. It's the Indo-Iranian contribution popping up. I've always had this weird uralo-Baltic/south-central Asian affinity, and almost complete absence of WHG on almost all admixture tests. Even on IBD runs, I always had hits with finns/ NE Russians, much less with other Europeans, in contrast to other kurds and west-iranics.

parasar
03-24-2015, 03:53 AM
ANI=gedrosia= ANE+ENF, ENF most likely from southern Iraq or Iran. It would explain why I got a relatively high yamnaya score(for Kurds) on david's k6. In-contrast to the full similarity/overlap comparison by Mc.Ninja , were i'm even less similar to yamnaya than an Assyrian(Because of my lack of WHG). My genome is WHG poor, but rich on whatever ANE/ENF(correlates highy with gedrosia/south-central Asian/west-asia on admixture different) like combination that exists in yamnaya. It's also the reason why I get weird contributions from uralo-Baltic components, but never from purely European KS on admixture tests. It's the Indo-Iranian contribution popping up. I've always had this weird uralo-Baltic/south-central Asian affinity, and almost complete absence of WHG on almost all admixture tests. Even on IBD runs, I always had hits with finns/ NE Russians, much less with other Europeans, in contrast to other kurds and west-iranics.

Ancestral North Eurasian and Western Hunter Gatherer are not that different. How close are you to the Karelians?

parasar
03-24-2015, 04:07 AM
What Davidski notes on his blog makes sense.

http://eurogenes.blogspot.co.uk/2015/03/indian-population-structure-in-context.html
"It might be because the Indo-Aryans are more EHG/Yamnaya and the Dravidians more MA1-like.

Yamnaya LBK_EN Indo-Aryan Yoruba 0.0231 11.964
Yamnaya LBK_EN Dravidian Yoruba 0.0212 10.977"

With modification, in progression, Ust-Ishim more Ongee like, Dravidians more MA1-like, and the Indo-Aryans are more EHG/Yamnaya like.

Arbogan
03-24-2015, 04:20 AM
Ancestral North Eurasian and Western Hunter Gatherer are not that different. How close are you to the Karelians?

I haven't looked, which test do I use then? Do you mean IBD?

parasar
03-24-2015, 04:30 AM
I haven't looked, which test do I use then? Do you mean IBD?

Not IBD, but something like this:
http://www.anthrogenica.com/showthread.php?4009-MDLP-K23b-Project-Part-2-of-2-Community-PCAs-graphs-amp-charts&p=74374&highlight=karelian#post74374

Arbogan
03-24-2015, 04:35 AM
Not IBD, but something like this:
http://www.anthrogenica.com/showthread.php?4009-MDLP-K23b-Project-Part-2-of-2-Community-PCAs-graphs-amp-charts&p=74374&highlight=karelian#post74374
Not similar, unless you use something like the EU test or K15, with a mordvin/erzya based component.

parasar
03-24-2015, 02:54 PM
Not similar, unless you use something like the EU test or K15, with mordvin/erzya based component.

The lack of affinity to the Karelian is telling me that you are close to ANE (MA-1) perhaps but not to the Ancient North Eurasian component in Karelians. The distinction is that Ancient North Eurasians contributed to the Karelian-Native American group as well as to the ANE (MA-1, South Asians, Caucasus) group. While both groups share remote Ancient North Eurasian ancestry, the Native Americans and Karelians share more recent ancestry of the Ancient North Eurasian type.

Hando
03-24-2015, 03:28 PM
The lack of affinity to the Karelian is telling me that you are close to ANE (MA-1) perhaps but not to the Ancient North Eurasian component in Karelians. The distinction is that Ancient North Eurasians contributed to the Karelian-Native American group as well as to the ANE (MA-1, South Asians, Caucasus) group. While both groups share remote Ancient North Eurasian ancestry, the Native Americans and Karelians share more recent ancestry of the Ancient North Eurasian type.
Sorry but I am totally confused. Are you suggesting there are two ANEs? An ancient/remote one and a more recent one?

parasar
03-24-2015, 03:58 PM
Sorry but I am totally confused. Are you suggesting there are two ANEs? An ancient/remote one and a more recent one?

Kind of. So for now we could call one branch as ANE-MA1 and the other branch Ancestral North Eurasian (Karelia-Karitiana) and the one ancestral to both as Ancient_North_Eurasian. Even though MA1 shares more alleles overall with the Karelian than with the Karitiana, "the ANE ancestry in Karelia_HG is derived from the branch of “Ancient_North_Eurasian” that goes into the Karitiana Native Americans, rather than the MA1 branch."
Figure S8.6 will help visualize
http://arxiv.org/ftp/arxiv/papers/1502/1502.02783.pdf

Arbogan
03-24-2015, 04:26 PM
The lack of affinity to the Karelian is telling me that you are close to ANE (MA-1) perhaps but not to the Ancient North Eurasian component in Karelians. The distinction is that Ancient North Eurasians contributed to the Karelian-Native American group as well as to the ANE (MA-1, South Asians, Caucasus) group. While both groups share remote Ancient North Eurasian ancestry, the Native Americans and Karelians share more recent ancestry of the Ancient North Eurasian type.
I did get my affinity to MA-1 checked via f3 statistics . It was low. But i scored decently on eurogenes K8. Where MA-1 and karitania's west eurasian like admixture is merged. There is nothing else that will explain this other than a perhaps a third wave of ANE admixed into Samara yamnayas and south central asian neolithics. Something that I noticed , a similar phenomenon occurs amongst some pashtoons on mcninjas spreadsheets. They seem to have above average gedrosia and even average amounts of north euro on some tests that do not seperate different affinities (dodecad k12b). But small to no european affinity on higher Ks tests unless you include an erzya/mordvin component. Then this affinity sharply increases. It could just be that indo-iranians variation showing up differently in individuals. With some having a more uralic like appearance and some look more north west-european/baltic. in their affinities. I think WHG tracking might be useful in some but not all groups. Western Gedrosia( both europe and west-asia) scores seem robust in whatever areas which had contact or with central asia or IE people or inbthe case where they directly settled.

Hando
03-25-2015, 12:03 PM
Kind of. So for now we could call one branch as ANE-MA1 and the other branch Ancestral North Eurasian (Karelia-Karitiana) and the one ancestral to both as Ancient_North_Eurasian. Even though MA1 shares more alleles overall with the Karelian than with the Karitiana, "the ANE ancestry in Karelia_HG is derived from the branch of “Ancient_North_Eurasian” that goes into the Karitiana Native Americans, rather than the MA1 branch."
Figure S8.6 will help visualize
http://arxiv.org/ftp/arxiv/papers/1502/1502.02783.pdf
So in effect, Ancient North Eurasian is ancestral to MA1 and Ancestral North Eurasian( Karelian and Karitiana)?

Arbogan
03-25-2015, 12:35 PM
What do you guys think of jiroft cultures being representative of gedrosia/south central asian? Its dash in the middle of far eastern iran, and close to north western pakistan and afghanistan. It was also the epicenter of many suspected bronze age city states. Some which were major hubs during the elamite period. The "burnt city" is right on the border of afghanistan. There must have been alot of activity considering how archaelogists suspect that elams writing system was spread from there. Consider also that adjacent areas is where the balooch and brahui live.

Dr_McNinja
03-26-2015, 04:33 AM
A plot of Eurogenes ANE K7 Gedmatch results from my spreadsheet:

http://i.imgur.com/9HcLAkL.png

Lone markers for populations and ancient groups are from David's runs. So they don't correlate exactly to Gedmatch but are close enough as placeholders. Yamnaya was run in K8.

The upper Maharashtra Brahmin had 3.04% WHG. The circled ones are HarappaWorld components (Baloch and S-Indian).

East Eurasian had to be placed a little further "south" than is intuitive because of the crowding of components (ANE, ENF, WHG, ASE, East Eurasian), thus the Mari and Ket. Japanese would be only barely below the Bengali, but far off to the right.

The upper leftmost Afghan Pashtun is HRP0370, the Half Tajik is 29.32% ANE, 10.54% ASE, 9.84% WHG, 3.02% East Eurasian (not sure if that's Rukha?). The upper leftmost Pakistan Pashtun is Adam, the other one is Sein.

The upper leftmost Punjabi Jatt Sikh is, somewhat counterintuitively, the Sarao individual. The couple Sikh Jatts near the Haryana Jatts in WHG in the spreadsheet have very little East Eurasian and lower ANE for some reason which is why they aren't near the Haryanvi Jatts.

The lower leftmost Iranian is Baibars.

This started off as just a test so there's a lot of people I still have to add to my spreadsheets which I haven't gotten around to yet, apologies for that.

EDIT: "Europe" was 15% ANE, 35% WHG, 50% ENF, so that would be Southeastern Europe (Italy/Greece).

EDIT #2: I added East African to ENF.

parasar
03-26-2015, 04:48 AM
What do you guys think of jiroft cultures being representative of gedrosia/south central asian? Its dash in the middle of far eastern iran, and close to north western pakistan and afghanistan. It was also the epicenter of many suspected bronze age city states. Some which were major hubs during the elamite period. The "burnt city" is right on the border of afghanistan. There must have been alot of activity considering how archaelogists suspect that elams writing system was spread from there. Consider also that adjacent areas is where the balooch and brahui live.

You may be aware of the speculation that Jiroft=Sumerian Aratta ( http://etcsl.orinst.ox.ac.uk/section1/tr1823.htm ).
http://www.bulletinasiainstitute.org/Muscarella_BAI15.pdf
http://www.kavehfarrokh.com/wp-content/uploads/2008/12/MainPaper_3546_6.pdf
http://rbedrosian.com/memyth.htm

Aratta
[19] Aratta was a city, city-state, or country with which Sumerians had close trade and religious ties in the third millennium B.C. Its location is not known. Of four general sites suggested for Aratta, two are located in eastern Asia Minor: the Van-Urmia area and the Ayrarat district of historical Armenia. The Anshan-Hamadan area of western Iran was the choice of S. Cohen who translated one of four sources to mention Aratta, Enmerkar and the Lord of Aratta. However, since the publication of that work (1973), several of the criteria he used for locating Aratta have been challenged (78).
Aratta as a wealthy and militarily powerful state with which Sumer had relations from very early times. It was located some distance from Sumer and protected by its forbidding mountains, but it was not so distant as to prevent trade relations. Aratta had building materials, precious stones, metals and craftsmen skilled in their transformation. Aratta also had primacy with regard to the religion of the mother goddess, Inanna, who resided in Aratta, was the patron of that state

Arbogan
03-26-2015, 06:03 AM
You may be aware of the speculation that Jiroft=Sumerian Aratta ( http://etcsl.orinst.ox.ac.uk/section1/tr1823.htm ).
http://www.bulletinasiainstitute.org/Muscarella_BAI15.pdf
http://www.kavehfarrokh.com/wp-content/uploads/2008/12/MainPaper_3546_6.pdf
http://rbedrosian.com/memyth.htm


Yes likely. And i doubt it's just jiroft. This proves that central-asia wasn't as dormant during that time as thought. Way more activity than we expect. And i mean why should we expect else, it's not like humans were different now than then. Perhaps the net population sizes were smaller. The burnt city was estimated to have 40k inhabitants. Which isn't a small figure, albeit small compared today. A world center in antiquity(equvalient of new york or moscow or london), would have 100-200k inhabitants.

Dr_McNinja
03-26-2015, 09:37 PM
Plot of FTDNA myOrigins: http://i.imgur.com/Ex5AvH7.png

Plot of MDLP K23b: http://i.imgur.com/OYERXMv.png

These are both using 5 components (spread in a pentagonal direction, usually west/southwest asian bottom left, european left, north eurasian top, east asian right, south/southeast asian bottom right... for myOrigins I used Central Asian on top, Caucasus/Middle East bottom left, Europe left, East Asian right, South Asian bottom right).

Dr_McNinja
03-26-2015, 10:37 PM
Added Tajiks to the K7 plot: http://i.imgur.com/p3xOUMP.png

Sapporo
03-26-2015, 10:39 PM
Plot of FTDNA myOrigins: http://i.imgur.com/Ex5AvH7.png

Plot of MDLP K23b: http://i.imgur.com/OYERXMv.png

These are both using 5 components (spread in a pentagonal direction, usually west/southwest asian bottom left, european left, north eurasian top, east asian right, south/southeast asian bottom right... for myOrigins I used Central Asian on top, Caucasus/Middle East bottom left, Europe left, East Asian right, South Asian bottom right).

Awesome PCA plots. Do you mind putting usernames for members on the second one? I'm curious where I am.

Dr_McNinja
03-26-2015, 10:45 PM
Awesome PCA plots. Do you mind putting usernames for members on the second one? I'm curious where I am.See the top leftmost orange triangle (Punjabi Other)? Go in a straight line to the left and the first one you hit is you (to the top left of the other Jatt Sikh who is to the top left of the Lohana).

Sapporo
03-26-2015, 11:04 PM
See the top leftmost orange triangle (Punjabi Other)? Go in a straight line to the left and the first one you hit is you (to the top left of the other Jatt Sikh who is to the top left of the Lohana).

Thanks. I assume Sein is the only Pakistani Pashtun there. Or is that AdamYZ? Do you think you could do something similar for ANE K8 with ANE, ASE, WHG, ENF, etc? I'd be really curious about that.

Edit: Just scrolled up on saw the ANE K7. Close enough. Could you point out where I am on it? Thanks.

Dr_McNinja
03-27-2015, 02:09 AM
Thanks. I assume Sein is the only Pakistani Pashtun there. Or is that AdamYZ? Do you think you could do something similar for ANE K8 with ANE, ASE, WHG, ENF, etc? I'd be really curious about that.

Edit: Just scrolled up on saw the ANE K7. Close enough. Could you point out where I am on it? Thanks.See those two Jatt Sikhs who are almost on top of one another (well, halfway overlapping) near the bottom right of the group? You're the one to the top left.

Dr_McNinja
03-27-2015, 02:16 AM
The one you're almost on top of is Paulgill.

And yeah, whenever there's one Pakistan Pashtun it's Sein. He'll usually be pulled to the east a little from Adam.

Dr_McNinja
03-27-2015, 02:57 AM
Thanks. I assume Sein is the only Pakistani Pashtun there. Or is that AdamYZ? Do you think you could do something similar for ANE K8 with ANE, ASE, WHG, ENF, etc? I'd be really curious about that.

Edit: Just scrolled up on saw the ANE K7. Close enough. Could you point out where I am on it? Thanks.Also, I can't do K8 because I don't know what to do with the Oceanian. It's clearly a strong noise signal in North Indians but we don't know what of. At least it mostly gets subsumed under East Eurasian in K7.

Dr_McNinja
03-27-2015, 04:28 AM
This is an actual PCA plot of the K7 data using 2 components (~65% of the variance):

http://i.imgur.com/j7OaeJk.png

It's not too different. Unfortunately PC3 was the one correlated to WHG and I don't think Excel can make three dimensional scatter plots.

The other plots were more like David's "fateful triangle", but in this case a pentagon since that worked perfectly with the K7 which only had 5 relevant components.

Raskolnikov
03-27-2015, 12:35 PM
I'm not sure about the accuracy of using one component in ADMIXTURE to calculate another component, it doesn't normally work well like that. For example the WHG component in South Central Asians doesn't seem to correspond very well with their degree of Yamnaya admixture. In the spreadsheet here I get around 12% Yamnaya due to my low WHG while in Davidski's K6 run I get 34% Yamnaya. That's quite a large discrepancy. I saw one of the Pashtuns with 0% WHG had K6 Yamnaya admixture in the 30s.

Dr_McNinja
03-27-2015, 01:51 PM
I'm not sure about the accuracy of using one component in ADMIXTURE to calculate another component, it doesn't normally work well like that. For example the WHG component in South Central Asians doesn't seem to correspond very well with their degree of Yamnaya admixture. In the spreadsheet here I get around 12% Yamnaya due to my low WHG while in Davidski's K6 run I get 34% Yamnaya. That's quite a large discrepancy. I saw one of the Pashtuns with 0% WHG had K6 Yamnaya admixture in the 30s.Who are you in the spreadsheet?

That's also because in David's run Yamnaya was acting, essentially, as a proxy for ANE in some Asians when that isn't the purpose of it. In most South and South Central Asians the difference between K7/K8 ANE and K6 Yamnaya was hardly noticeable. In the Haryana Jatt it was actually a good few percent, corresponding with the actual WHG admixture. He doesn't think the Yamnaya score in his K6 is indicative of any actual Yamnaya admixture for South/South Central Asians for that reason. There isn't an "alternative" ANE component, like a Gedrosian, so it all goes into Yamnaya.


David: Please keep in mind that the Yamnaya component is not ANE, and ANE is not the Yamnaya component.

For instance, in my tests Pashtuns get around the same levels of Yamnaya and ANE, and this is probably because they received a good portion of their ANE from groups not closely related to the Yamnaya.

---

Do you suppose a big difference in K6_Yamnaya to K8_ANE ratio implies some actual ancestry from the steppe?

---

David: Yes, I think so, otherwise we'd see much higher Yamnaya among South Central Asians, inflated by the high ANE among them, but we don't.Since the results are all derived from one calculator their use isn't in any absolute measurement (even admixture can rarely help there), but in relative comparisons between individuals put through the same calculation (thus the high likelihood of Steppe ancestry in Haryanvi Jatts if any South Asians, and the pattern of extra ENF in some individuals).

Raskolnikov
03-27-2015, 02:41 PM
I used my K7 results and your spreadsheet to calculate my own scores.


For instance, in my tests Pashtuns get around the same levels of Yamnaya and ANE, and this is probably because they received a good portion of their ANE from groups not closely related to the Yamnaya.

---

Do you suppose a big difference in K6_Yamnaya to K8_ANE ratio implies some actual ancestry from the steppe?

---

David: Yes, I think so, otherwise we'd see much higher Yamnaya among South Central Asians, inflated by the high ANE among them, but we don't.

This seems to mean the opposite of your interpretation. Most of the Pashtun ANE is not from Yamnaya, this shows that the Yamnaya component is not serving as a proxy for ANE otherwise the Yamnaya scores would be a lot higher. Likewise in Europe ANE levels can't simply be used to calculate Yamnaya levels as the commenter jeanlohizun was trying to do.

parasar
03-27-2015, 02:47 PM
...
Since the results are all derived from one calculator their use isn't in any absolute measurement (even admixture can rarely help there), but in relative comparisons between individuals put through the same calculation (thus the high likelihood of Steppe ancestry in Haryanvi Jatts if any South Asians, and the pattern of extra ENF in some individuals).

Could you clarify this?
Are you saying that Haryana Jats have steppe ancestry that is elevated, and the reason it is elevated is that in other populations (I assume between Haryana and the steppe) extra ENF depresses their steppe ancestry?

parasar
03-27-2015, 02:53 PM
I used my K7 results and your spreadsheet to calculate my own scores.



This seems to mean the opposite of your interpretation. Most of the Pashtun ANE is not from Yamnaya, this shows that the Yamnaya component is not serving as a proxy for ANE otherwise the Yamnaya scores would be a lot higher. Likewise in Europe ANE levels can't simply be used to calculate Yamnaya levels as the commenter jeanlohizun was trying to do.

This looks reasonable as about half of Yamna ANE is from a Pakhtoon/Indus Valley type population and the other half from a Karelia-Samara type population.

Dr_McNinja
03-27-2015, 03:15 PM
I used my K7 results and your spreadsheet to calculate my own scores.



This seems to mean the opposite of your interpretation. Most of the Pashtun ANE is not from Yamnaya, this shows that the Yamnaya component is not serving as a proxy for ANE otherwise the Yamnaya scores would be a lot higher. Likewise in Europe ANE levels can't simply be used to calculate Yamnaya levels as the commenter jeanlohizun was trying to do.
Most of the Pashtun ANE is not from Yamnaya, but all of their ANE is necessarily showing up in the Yamnaya component, so the Yamnaya component is actually serving as a proxy for ANE (what else can we call it when all of their ANE is showing up in Yamnaya?) although that is not what it is meant to do.

Here is a spreadsheet with a ratio of K8 ANE to K6 Yamnaya:

https://docs.google.com/spreadsheets/d/1H5Q8TJtvfU6-wzDr3PJd5OVwrxioKn9rpPLtsevllmg/edit#gid=1448840466

Those people around the 0.34 to 0.35 range (since Yamnaya has 34-35% ANE) happen to represent a few select areas of Europe where one could conclude all their ANE came from Yamnaya.

HRP0393 had 0.316424 ANE in K8 and 0.396573 Yamnaya in K6. His ANE is only coming out in Yamnaya in K6 since the other components do not have any ANE. That means his Yamnaya in K6 is comprised of 79.8% ANE, more than double what it should be. On top of that, it actually excluded 2.76% WHG, a component which should have been used up completely in Yamnaya, especially for an individual who only had 7.41% WHG total in K8.

If David had a Gedrosian component and Yamnaya, Yamnaya would pretty much mirror our European scores in other calculators since the lion's share of our admixture would still go into Gedrosian or South Asian which have the high ANE composition necessary and the Haryana Jatts would still have a lot more of it than everyone else.

It doesn't mean much if the only ANE component in a calculator is Yamnaya, all South Asians will be scoring more of it than their ANE, with those higher in WHG scoring a little higher in Yamnaya or thereabouts (hence, Haryana Jatt - 39.66% Yamnaya, Rukha (Half Pashtun, Half Tajik) - 36.5% Yamnaya, you - 34.23% Yamnaya). Obviously any real Yamnaya ancestry would necessarily include WHG since all the Yamnaya genomes we've seen are averaging 35% WHG.

That isn't to say there is no Steppe ancestry in South Asia. There likely is, it's just not from where these Yamnaya samples were found. That's why I experimented with different hypothetical Steppe populations including one more heavily West Asian admixed, with lower (~19%) WHG.

Dr_McNinja
03-27-2015, 03:24 PM
Could you clarify this?
Are you saying that Haryana Jats have steppe ancestry that is elevated, and the reason it is elevated is that in other populations (I assume between Haryana and the steppe) extra ENF depresses their steppe ancestry?I just meant that if anyone in South Asia has Steppe ancestry (determined from another proof), then Haryanvi Jatts are the likeliest candidates of all.

I don't think extra ENF is depressing the ancestry unless it came later. But the Steppe invasions are reputed to have been quite recent. I don't see that there was enough time for more ENF to have come from anywhere else but perhaps yet another Steppe population, albeit one with a higher ENF %, that could be depressing "earlier" Steppe ancestry, thus the speculation about two Steppe populations.

I think the "Gedrosian" layer of admixture was "laid down" thousands of years before any PIE Steppe populations even existed or came to South Asia so it (Steppe ancestry) could only have been "depressed" in South Asia through mixing with populations with much less (multiple Steppe-derived populations) to no Steppe ancestry (local Gedrosians).

In fact, it's more like a back-migration since the mixing of ANE/ENF in South Central Asia is a contributing ancestor to the Steppe most likely. That's another way of explaining the high Yamnaya results in K6: Most of our admixture similarity is from a population whose cousins formed almost half of Yamnaya. It's not from Yamnaya, but remnants of a signal that went to Yamnaya.

Raskolnikov
03-27-2015, 03:40 PM
This looks reasonable as about half of Yamna ANE is from a Pakhtoon/Indus Valley type population and the other half from a Karelia-Samara type population.

What's your source for that?

Dr_McNinja
03-27-2015, 03:42 PM
Parasar, what do you think is a likelier scenario: (EDIT: See this post for what I mean by 'Steppe' (http://www.anthrogenica.com/showthread.php?4032-Ancient-South-Asian-DNA-(including-impact-of-PIE)&p=76288&viewfull=1#post76288))

#1 An actual Yamnaya-like wave with ground zero in Haryana, followed up by other Steppe population waves which contributed to Indo-Aryan civilization (including Brahmins) in India.

#2 Other Steppe populations contributing to Indo-Aryan civilization occurring at the same time as in scenario 1, followed by a recent Steppe invasion which, because of its chronological proximity and the strong endogamous practices of Jatts, stayed at a high signal for about 2000 years (which is quite possible, that's not a long time)

I think the issue with #2 is the haplogroups. We'd need to see Steppe lineages in Jatts at a high rate, but instead we're seeing what we'd expect. R1a1a of the same type (L657) as the kind which formed the basis of Indo-Aryan civilization likely, and lots of farmer lineages (J, G) or local ones (L, H, R2). That makes me think scenario #2 is less likely?

If we find IE Steppe remains that are Z93/Z94/L657, I believe we've found the likeliest candidate. And if they don't have a lot of these J, G, L lineages with them, could that mean the high WHG in Haryana is leftover from an earlier neolithic timeframe?

Haryana Jatt lineages:

(Verified by me)

HRP0393 - J2 (J-M172) (23andMe)
HRP0275 - L1c-M357
HRP0170 - Q1a2

(From Harappa spreadsheet)

HRP0131 - R2
HRP0188 - R1a1a

(Rajasthani Jatts with high NE-Euro)

HRP0359 - R1a1a
HRP0360 - R1a1a

J2-M172 in 23andMe basically means a hitherto unknown subclade of, most probably, J2a I think but who knows (we do know there's no brand new branches that aren't fitting under J2a/J2b though, and if one emerged, that'd be enormous news). That's why I keep posting there for South Asian J2 people to get further testing.

Dr_McNinja
03-27-2015, 03:46 PM
What your source for that?Vadim of MDLP has isolated a "South Asian ANE" and Yamnaya still got a lot of it, so it's a strong possibility:

http://i.imgur.com/RaDG4w8.png (blank column is total of other two, "ANI" is South Asian ANE, "ANE" is other ANE)

Raskolnikov
03-27-2015, 03:46 PM
I think it might be more accurate to say that Yamnaya was (partly) ancestral to both the "Gedrosia/Baloch" and "North/East European" like components we find today rather than the other way around.

Dr_McNinja
03-27-2015, 03:51 PM
I think it might be more accurate to say that Yamnaya was (partly) ancestral to both the "Gedrosia/Baloch" and "North/East European" like components we find today rather than the other way around.
Gedrosian component has more ANE than Yamnaya so that can't be true. It's not a real population but a reconstructed hypothetical one. It only peaks at 50-60% in Baloch, which is not a lot.

The mixing of ANE/ENF to lead to such a population would have had to have occurred around the early neolithic or earlier, so that's a long time before PIE.

NE-European, however, represents real modern populations.

Raskolnikov
03-27-2015, 03:55 PM
Gedrosian component has more ANE than Yamnaya
So what? That just implies it's also mixed with something with more ANE.

Regarding Jatts, they supposedly have some more recent ancestry from Central Asians that long post dates the Indo-Aryan migration, that's probably why they have more WHG than other South Asians.

parasar
03-27-2015, 04:10 PM
What's your source for that?

The source is the Haak et al. paper itself and one on Armenians.

1. Yamna is a mix of Karelia-Samara type population and another ANE rich one.
2. The former has WHG which the latter does not.
3. The latter has a basal to Basal Eurasian type present, but this is absent in the former.
4. The latter has ANE which is in about the same ballpark as Karelia-Samara but a little lower as the Yamna ANE reduces a smidgen from Karelia-Samara.
5. This element which mixes into Samara to form Yamna also mixes into Armenians who have Basal (LBK_EN type).
6. "the lowest Z-score of statistics of the form f3(Armenian; X, Y) involves the (X, Y) = (LBK_EN, Sindhi) pair (value -0.00575, Z=-15.3)"

parasar
03-27-2015, 04:32 PM
I just meant that if anyone in South Asia has Steppe ancestry (determined from another proof), then Haryanvi Jatts are the likeliest candidates of all.

I don't think extra ENF is depressing the ancestry unless it came later. But the Steppe invasions are reputed to have been quite recent. I don't see that there was enough time for more ENF to have come from anywhere else but perhaps yet another Steppe population, albeit one with a higher ENF %, that could be depressing "earlier" Steppe ancestry, thus the speculation about two Steppe populations.

I think the "Gedrosian" layer of admixture was "laid down" thousands of years before any PIE Steppe populations even existed or came to South Asia so it (Steppe ancestry) could only have been "depressed" in South Asia through mixing with populations with much less (multiple Steppe-derived populations) to no Steppe ancestry (local Gedrosians).

In fact, it's more like a back-migration since the mixing of ANE/ENF in South Central Asia is a contributing ancestor to the Steppe most likely. That's another way of explaining the high Yamnaya results in K6: Most of our admixture similarity is from a population whose cousins formed almost half of Yamnaya. It's not from Yamnaya, but remnants of a signal that went to Yamnaya.

For the steppe invasions there is no historical evidence or archaeological proof whatsoever.

But I am not saying you are wrong as I can see the scenario you posit happening historically. And this would also explain some interplay between ENF and ANE that you are seeing too.

Rather than the steppe we should look at the Shak belt of India. This belt runs from Khotan to Mathura to Malva to Gujarat. It is in this belt that Shak are attested archaeologically. The influence of this belt on the western side was till about Jalalabad in the northwest, Sistan on the SW, but not beyond.
If you will notice the modern Jat area falls right in the middle of this Shak belt.

Dr_McNinja
03-27-2015, 04:34 PM
So what? That just implies it's also mixed with something with more ANE.

Regarding Jatts, they supposedly have some more recent ancestry from Central Asians that long post dates the Indo-Aryan migration, that's probably why they have more WHG than other South Asians.

It also has 0% WHG.

Harappa Baloch/Gedrosian K7:

35.41% ANE, 9.28% ASE, 55.11% ENF.

Yamnaya average:

34.38% ANE, 4.72% ASE, 23.96% ENF, 35.64% WHG

Karelia/Samara Hunter Gatherer average:

37.71% ANE, 3.61% ASE, 4.99% East Eurasian, 52.40% WHG

It's not a perfect fit for the missing parent, but close enough to be related to it. The missing population (assuming Yamnaya are a mix of those hunter gatherers and another population) would be:

31% ANE, 6% ASE, 46% ENF, ~18% WHG

Which could be Gedrosian mixed with another Steppe population that was richer in WHG. Gedrosian isn't a real population though, the actual population in that area around that time of early neolithic could have had a little WHG. In any case, it would have moved towards the steppe, not come from it, since something has to explain WHG dropping there.

EDIT: Also the ASE over there came from India or East/Southeast Asia, not to S/SE-Asia, that's the best proof that a movement in that direction occurred from the south

Dr_McNinja
03-27-2015, 04:41 PM
For the steppe invasions there is no historical evidence or archaeological proof whatsoever.

But I am not saying you are wrong as I can see the scenario you posit happening historically. And this would also explain some interplay between ENF and ANE that you are seeing too.

Rather than the steppe we should look at the Shak belt of India. This belt runs from Khotan to Mathura to Malva to Gujarat. It is in this belt that Shak are attested archaeologically. The influence of this belt on the western side was till about Jalalabad in the northwest, Sistan on the SW, but not beyond.
If you will notice the modern Jat area falls right in the middle of this Shak belt.I would consider Andronovo, BMAC, Copper Hoard, Cemetary H, Painted Grey Ware as "Steppe-derived", in that they are likely representative of Indo-Iranian populations, some of whom could have acted as the carriers of Steppe genetic ancestry into India though no direct movement from the Steppe to India ever likely occurred because there's no archaeological evidence for it.

By Shak belt you mean the area of the Sakas and Kushan empire?

Dr_McNinja
03-27-2015, 05:28 PM
Vadim of MDLP has isolated a "South Asian ANE" and Yamnaya still got a lot of it, so it's a strong possibility:

http://i.imgur.com/RaDG4w8.png (blank column is total of other two, "ANI" is South Asian ANE, "ANE" is other ANE)

I should add, that South Asian ANE or "ANI" wasn't peaking in Baloch but in India. Tamil Nadu Brahmins, even. So it's highly unlikely all Indians from that far into the subcontinent had Steppe-derived ancestry in that great a quantity, and more likely it went in the other direction.

Even in Harappa we can see Baloch is spread throughout the entire subcontinent. All of India cannot get that much of a change in admixture in recent history (which is when the Indo-Iranians came to India and when Yamnaya existed). It came to India long before Yamnaya even existed.

parasar
03-27-2015, 05:53 PM
I would consider Andronovo, BMAC, Copper Hoard, Cemetary H, Painted Grey Ware as "Steppe-derived", in that they are likely representative of Indo-Iranian populations, some of whom could have acted as the carriers of Steppe genetic ancestry into India though no direct movement from the Steppe to India ever likely occurred because there's no archaeological evidence for it.

By Shak belt you mean the area of the Sakas and Kushan empire?

Maybe in the future we will find some evidence, but at present it is difficult to connect Andronovo to the Indus. Bactria to Indus we have connection evidenced by Shortughai.

By Shak I just meant what westerners call Saka, not the Kushans. The Kushan area in Indic terminology is called Tukhara.

Historians often conflate the two - Kushan & Saka - without any evidence. They have spent the past hundred years trying to convince themselves and others that Kanishka started the Saka era! You can read some of the debate here: https://books.google.com/books?id=ks4UAAAAIAAJ&printsec=frontcover

The Shak Samvat or Saka Era starts in 78AD. So we can place the Shak rule as starting at that time. It is not clear whether they have anything to do with the Gimiri-Saka of Persian texts or the Sakiya tribe of eastern India. There could be a relation to the latter if we are to believe Xuanzang but his report is about 550 years separated from the Shak rule's starting date and about 300 years from its end.

"The four [Sakya] men, having been banished, went to the north among the Snowy Mountains; one became king of the country of Bamyan, one of Udyana, one of Himatala, one of Sambi. They have transmitted their kingly authority from generation to generation without any interruption ..."

"The king of Himatala, of the country of To-hu-lo (Tukhara), was by descent of the Sakya race"

parasar
03-27-2015, 07:40 PM
Parasar, what do you think is a likelier scenario: (EDIT: See this post for what I mean by 'Steppe' (http://www.anthrogenica.com/showthread.php?4032-Ancient-South-Asian-DNA-(including-impact-of-PIE)&p=76288&viewfull=1#post76288))

#1 An actual Yamnaya-like wave with ground zero in Haryana, followed up by other Steppe population waves which contributed to Indo-Aryan civilization (including Brahmins) in India.

#2 Other Steppe populations contributing to Indo-Aryan civilization occurring at the same time as in scenario 1, followed by a recent Steppe invasion which, because of its chronological proximity and the strong endogamous practices of Jatts, stayed at a high signal for about 2000 years (which is quite possible, that's not a long time)

I think the issue with #2 is the haplogroups. We'd need to see Steppe lineages in Jatts at a high rate, but instead we're seeing what we'd expect. R1a1a of the same type (L657) as the kind which formed the basis of Indo-Aryan civilization likely, and lots of farmer lineages (J, G) or local ones (L, H, R2). That makes me think scenario #2 is less likely?

If we find IE Steppe remains that are Z93/Z94/L657, I believe we've found the likeliest candidate. And if they don't have a lot of these J, G, L lineages with them, could that mean the high WHG in Haryana is leftover from an earlier neolithic timeframe?

Haryana Jatt lineages:

(Verified by me)

HRP0393 - J2 (J-M172) (23andMe)
HRP0275 - L1c-M357
HRP0170 - Q1a2

(From Harappa spreadsheet)

HRP0131 - R2
HRP0188 - R1a1a

(Rajasthani Jatts with high NE-Euro)

HRP0359 - R1a1a
HRP0360 - R1a1a

J2-M172 in 23andMe basically means a hitherto unknown subclade of, most probably, J2a I think but who knows (we do know there's no brand new branches that aren't fitting under J2a/J2b though, and if one emerged, that'd be enormous news). That's why I keep posting there for South Asian J2 people to get further testing.

From anywhere on the steppe to South Asia I can see only Y-P lines as a possibility. Now we have data from Europe to East Asia and apparently in the past the steppe belt was nearly all Y-M526.

It also looks like this whole west eurasian - east eurasian situation was not there in the past. It was mainly north eurasian - south eurasian with F derived pre M526 occupying south eurasia. Y-I is the only one from the south eurasian group that ventured north.

kenji.aryan
03-28-2015, 08:57 AM
Here is my score for "Yamnaya k6".

Yamnaya_related 0.354022
WHG_extra 0.012505

Hando
03-28-2015, 01:03 PM
From anywhere on the steppe to South Asia I can see only Y-P lines as a possibility. Now we have data from Europe to East Asia and apparently in the past the steppe belt was nearly all Y-M526.

It also looks like this whole west eurasian - east eurasian situation was not there in the past. It was mainly north eurasian - south eurasian with F derived pre M526 occupying south eurasia. Y-I is the only one from the south eurasian group that ventured north.
What haplogroup does Y M526 belong to?
Are you suggesting that Y DNA-I which is found among hunter gatherers on Europe originated from south Eurasia? South Eurasia means South Asia?
What was north Eurasian?

Dr_McNinja
03-28-2015, 03:08 PM
What haplogroup does Y M526 belong to?
Are you suggesting that Y DNA-I which is found among hunter gatherers on Europe originated from south Eurasia? South Eurasia means South Asia?
What was north Eurasian?

I think in that distinction "South Eurasia" includes the near east. M526 is the defining mutation for Y haplogroup K I believe. So he's referring to GHIJ and LT's origin.

parasar
03-28-2015, 03:16 PM
What haplogroup does Y M526 belong to?
Are you suggesting that Y DNA-I which is found among hunter gatherers on Europe originated from south Eurasia? South Eurasia means South Asia?
What was north Eurasian?

M526 was referred to as K-M526, now as K2.
Under K-M9 we have two main lines - LT and K-M526. K2 tree http://en.wikipedia.org/wiki/Haplogroup_K2

Under K-M9:

Haplogroup LT (K1). Spotty with L being found at its highest frequency in Baloch of Afghanistan and western cost of India and Pakistan , while T is most common among some Jewish communities, Ethiopan Somalians, some alpine cities, some Aegean Islands and a few tribes of India


K2*
K2* 5 cases in Sumatra and 1 case in Sulawesi

K2a
X-M147.Highly rare lineage in India. 2 samples found so far.[uncertain]
N Found near Arctic Circle, Yakuts, Finno Ugrians (Ancient samples: Most remains from the Yangshao, Hongshan,Ancient elite Hungarians, Xiongnu and prehistoric Yakuts while the Xiajiadian mixed between O3)
O Sino-Tibetans +prehistoric Longshan and Daxi and Xiajiadian which was divided between N and O3 (Xiajiadian was mixed others were pure) (O3), Austronesians + prehistoric Liangzhu (O1), and Austro-Asiatics (O2) dominant east Asian line (O) note O1 and O2 form a clade against O3 called O1'2


K2b
K2b1
M (M-P256*). Papua New Guinea, New Britain, Melanesia, Polynesia but very rare in Australia.
S (S-P405)Found in Papua New Guinea, New Britain and across Melanesia and Australia but rare in Polynesia found in 1900 ad Australian Aborigine (not to be confused with S-P230).
K2b1-P378 Found exclusively in the Aeta who have it at 60%.
K2b1-P336 found at 26% on the Island of Alor found also in other parts of eastern Indonesia at very low frequency

K2b2
P-P295(x45) 28% of Aeta
10% of Timor rare in other parts of Indonesia

P-P295
Q-M242 Native Americans Kets , Selkups, Turkmen, Altai, Tuvans, Far East Siberia, Americas (Ancient Samples Anzick from Montana, Prehistoric Alaskan + Ancient Greenlander+Xirong, Mongolian Altai Kurgans (R1a-z93 mixed with Q1a2a1-L54) and possibly Afontova.

†R0m* sequence from Mal'ta' in Siberia 24kya y-dna sequence
R2 found in India, Sri Lanka, North Pakistan isolates
R1a found in East Europe, India, Central Asia, Altai, Scandinavia, Uighers(Satem) Ancient samples include 10 out of 11 samples from Tocharians from the Xiaohe Culture, Andronovo, Pazyryk, Mongolian Altai Kurgans (R1a-z93 mixed with Q1a2a1-L54) , The Tagar Culture some Corded ware folk
R1b West Europe, Chadic Languages, Armenian Highlands (Found in several Bell Beakers from Germany and in late antique Basques of whom it is still common in as well as 13.3% (4):one P probably R1b2-v88: of Guanches from the Canary Islands, (reports of King Tut by iGENEA belonging to R1b have not been verified)


K2c-P261. Minor lineage of Bali.

K2d-P402 Minor lineage of Java


http://4.bp.blogspot.com/-nQ-fnzoDjpQ/U5Lp2MpYXAI/AAAAAAAACsE/cd70YzD3BvA/s1600/Karafet-Y-DNA-K-tree.png

MonkeyDLuffy
03-29-2015, 12:43 AM
My score on K6

Yamnaya_related0.376751
WHG_extra0.002609
ENA0.154832
Middle_Eastern0.439909
Pre-Yamnaya0.00001
Sub-Saharan0.025889

MonkeyDLuffy
03-29-2015, 02:42 AM
What's ENA?

Raskolnikov
03-29-2015, 04:17 AM
Eastern Non - African.

MonkeyDLuffy
03-29-2015, 12:18 PM
Is that another term for ASE?

Raskolnikov
03-29-2015, 12:56 PM
No, but it would include it along with East Eurasian admixture. See the high amount in Kazakhs for example.

MonkeyDLuffy
03-29-2015, 01:39 PM
I see. I think some of ASE gor lumped in Yamnaya like too.

parasar
03-29-2015, 03:07 PM
I see. I think some of ASE gor lumped in Yamnaya like too.

All of these - ENA [gleaned], ANE [MA1], WHG [Loschbour] - are potentially eastern Eurasian components. The only one of Lazaridis components that is clearly west Eurasian is the basal Eurasian portion of EEF [Stuttgart].

"In a different, geographical, sense the category “West Eurasian” could be transferred to the “basal Eurasian” element instead, as it is the only one whose presence we can detect only in West Eurasia, while the common ancestry of both MA1 and Loschbour with eastern non-Africans (drift non_African-->X) raises the alternative possibility of an eastern sojourn of their ancestors and a temporal priority of “basal Eurasians” in western Eurasia."

everest59
03-29-2015, 05:55 PM
All of these - ENA [gleaned], ANE [MA1], WHG [Loschbour] - are potentially eastern Eurasian components. The only one of Lazaridis components that is clearly west Eurasian is the basal Eurasian portion of EEF [Stuttgart].

"In a different, geographical, sense the category “West Eurasian” could be transferred to the “basal Eurasian” element instead, as it is the only one whose presence we can detect only in West Eurasia, while the common ancestry of both MA1 and Loschbour with eastern non-Africans (drift non_African-->X) raises the alternative possibility of an eastern sojourn of their ancestors and a temporal priority of “basal Eurasians” in western Eurasia."

Would you mind giving me some time frame? If WHG and ANE came from somewhere East, when did this occur?
ANE could be neither East Eurasian nor West Eurasian but somewhere in between. Then again, it could also easily be ancestral to WHG. No way of knowing unless we manage to get some 20000 yr old sample from Europe.

parasar
03-30-2015, 12:45 AM
Would you mind giving me some time frame? If WHG and ANE came from somewhere East, when did this occur?
ANE could be neither East Eurasian nor West Eurasian but somewhere in between. Then again, it could also easily be ancestral to WHG. No way of knowing unless we manage to get some 20000 yr old sample from Europe.

1700 generations for the split from ENA.
So @25yr/gen about 42500 years.

Ust-Ishim at 45000ybp is before the split from ENA, Tianyuan is about that time or a smidgen later.

I am hesitant to call them East or West Eurasian, since I think they came from further south.

Hando
03-30-2015, 11:30 AM
1700 generations for the split from ENA.
So @25yr/gen about 42500 years.

Ust-Ishim at 45000ybp is before the split from ENA, Tianyuan is about that time or a smidgen later.

I am hesitant to call them East or West Eurasian, since I think they came from further south.

If WHG and ANE came from further south where do you think it was?
And what populations are derived from ENA?

Chad Rohlfsen
03-31-2015, 01:25 AM
Crown Eurasian input to the BE of South Asia, Modern West Asia, and Yamnaya?

LaBrana1 Yamnaya Papuan Yoruba 0.0079 2.061
Norwegian Yamnaya Papuan Yoruba -0.0075 -3.674

Check it out!
I still lean towards Crown Eurasian leaning Basal stuff added to Basal Eurasian for South Asians, Modern West Asians, and probably Yamnaya.
Han Papuan Ust_Ishim Dai -0.1299 -30.441

everest59
03-31-2015, 02:27 AM
Looks like ASI is closer to Papuan than to Dai. Or should I pay a bigger attention to Z-score here?

t: Lithuanian GujaratiD Dai Yoruba -0.0250 -13.116 16670 17526 354212
result: Lithuanian GujaratiD Papuan Yoruba -0.0268 -12.177 16506 17414 354212
result: Lithuanian GujaratiD Han Yoruba -0.0226 -12.561 16723 17496 354212

Megalophias
03-31-2015, 03:17 AM
Looks like ASI is closer to Papuan than to Dai. Or should I pay a bigger attention to Z-score here?
I don't think the Z score affects the magnitude of the result, only the significance. But I don't know how to tell if the difference between the D scores is significant.

The model in Reich et al 2011 "Denisova Admixture and the First Modern Human Dispersals into Southeast Asia and Oceania" had Papuans and Australians as a mixture between a population related to Onge and a basal ENA population that had admixed with Denisovans. If this holds up, then Papuans ought to be related to ASI, except with much more Denisovan.

everest59
04-01-2015, 01:17 AM
There seems to be an interesting pattern when it comes to Denisovan admixture:
result: Lithuanian GujaratiA Denisovan Yoruba -0.0003 -0.168 14540 14550 354122
result: Lithuanian GujaratiB Denisovan Yoruba -0.0004 -0.184 14610 14621 354122
result: Lithuanian GujaratiC Denisovan Yoruba -0.0016 -0.733 14651 14699 354122
result: Lithuanian GujaratiD Denisovan Yoruba -0.0023 -1.001 14685 14753 354122
result: Lithuanian Papuan Denisovan Yoruba -0.0505 -12.368 14736 16304 354122

GujaratiA is more ANI-like, whereas GujaratiD is more ASI like.

paulgill
04-01-2015, 11:10 AM
Btw, here was a chart of K23b I made from my spreadsheet: http://i.imgur.com/d1ainBE.png http://i.imgur.com/bJO6YZD.png You have not adjusted your spreadsheets and my Near East component is incorrectly showing up in these Charts as Archaic African, I did tell you about this mistake earlier.

Jean M
04-01-2015, 10:37 PM
From Irina Pugach and Mark Stoneking, Genome-wide insights into the genetic history of human populations, Investigative Genetics 2015, 6:6 http://www.investigativegenetics.com/content/6/1/6


Genetic prehistory of India

India harbors extensive linguistic and cultural diversity, and genome-wide studies have helped shed light on the origins of some of this diversity. In particular, the linguistic and cultural data indicate contributions from outside India; were these accompanied by genetic contributions as well? For example, Indo-European (IE) languages are predominant in northern India and are related to languages elsewhere in Eurasia, while Dravidian languages are predominant in southern India and are restricted to South Asia. Also, agriculture seems to have spread into India from elsewhere in western Asia, possibly concomitantly with IE languages [51]. Was the spread of these and other cultural traits accompanied by an actual migration of people, who also contributed genetic ancestry to current Indian populations, or did languages and farming spread via cultural diffusion?

A study of genome-wide SNP data in 25 groups from across India found strong support for two distinct sources of genetic ancestry [52]. The first, dubbed ‘Ancestral North Indian’ (ANI) because it is predominant in northern India, shows affinities with contemporary populations from Europe, the Middle East, and Central Asia. The second, dubbed ‘Ancestral South Indian’ (ASI) because it is predominant in southern India, does not show such affinities; indeed, ASI, ANI, and East Asian genetic ancestry are all equally distinct from one another. Across India, from North to South, there is a gradient of decreasing ANI and increasing ASI ancestry. These results suggest that ASI represents an older, indigenous Indian ancestry, and that ANI represents a later migration of people into northern India from elsewhere. While it is tempting to associate the spread of ANI ancestry with the spread of IE languages and/or farming, it must be kept in mind that the admixture signal between ANI and ASI ancestry was not dated, so the ANI ancestry could instead be associated with older or more recent migrations.

A later follow-up study of the same data did date the onset of ANI-ASI admixture via an analysis of patterns of admixture LD [53]. Briefly, the methods used [35] involve plotting the weighted covariance (where the weights reflect the allele frequency differences in the parental groups involved in the admixture) between pairs of SNPs vs. how far apart they are on the same chromosome and fitting an exponential equation that can then be used to estimate the number of generations that have elapsed since admixture (Figure 2). The results indicate that the admixture occurred at various times between about 2,000 and 4,000 years ago and generally earlier in IE-speaking groups than in Dravidian-speaking groups. An important caveat to note is that this sort of analysis assumes a single pulse of admixture, so if admixture has been continuous over time or has occurred multiple times, the resulting dates are only for the most recent admixture. So, the actual migration that brought ANI ancestry to India could have occurred considerably earlier than 2,000 to 4,000 years ago. Moreover, a single pulse of admixture does not provide a good fit to the results for some of the populations, suggesting multiple waves of migration. For example, the more recent signal of admixture in northern IE-speaking groups than in southern Dravidian-speaking groups is not consistent with a single wave of migration spreading from north to south, as then one would expect older admixture dates in the north and more recent admixture dates in the south. It seems likely that there has been additional gene flow into northern India from ANI-related populations that was more recent than the first migration to bring ANI ancestry to India. It is to be anticipated that full genome sequence data will shed further light, although the first such large-scale study in India [54] focused on disease-related aspects rather than these questions about demographic history. Nonetheless, the overall time frame suggested by the analyses of the genome-wide SNP data is consistent with the hypothesis that ANI ancestry was brought to India along with IE languages and farming. It does seem rather reasonable to assume that when people migrate, they bring with them their language and cultural practices such as farming [55] ....

Dr_McNinja
04-06-2015, 02:40 PM
Reply to post from parasar on Balochi Y-DNA in Dodecad discussion (didn't want to go off-topic):


Z2124 and L657-Y8
http://eng.molgen.org/viewtopic.php?f=77&t=1412&p=19673&hilit=BUR_341#p19673

Edit: The Burusho are Y40According to Wikipedia, Balochi are 8% R1b, 28% R1a, 8% E1b1b, 16% J, 24% L.

Brahui are 39.1% R1a, 2.7% E1b1a, 28.2% J, 0.9% N, 7.3% L or (there are two listed) 24% R1a, 28% J, 16% G, 8% L.

Pashtun (presumably HGDP) are 4.2% R1b, 44.8% R1a, 2.1% E1b1b, 6.3% J, 11.5% G, 1% T, 12.5% L.

Burusho are 1% R1b, 27.8% R1a, 8.2% J, 1% G, 16.5% L.

Kalash are 18.2% R1a, 9.1% J, 18.2% G, 25.0% L.

If we presume J and L are pre-IE and G is IE-related (even though not all clades in India would be), then it looks like a pretty fair mix of IE and pre-IE lineages. Certainly L and J are well represented in these old populations. HGDP Pashtun look like a mix of Balochi lineages and a population that is 62% R1a and 23% G for example (and with no L, J, R1b, or E1b).

If Brahui are a similar result of a population that had no J or L, their pre-IE composition would be almost 60% J and 15% L.

Like the Pashtun, in my own count of Jatts (approx 80 individuals), they were over 40% R1a, but the rest was mostly L and J with some H, G, Q, F, etc. Both populations are reputed to be heavily IE influenced.

Do you think Y40 as well as L657 and Z2124 was IE-related? Or could it have arrived as a separate migration? It's really amazing to see the huge spread of R1a-Z93 knowing that the origin of these various subclades is less than 5000 years ago.

EDIT: If this is linked to the genesis of an ANE/ENF "Gedrosian" population in the Early Neolithic in South Central Asia, I would wager we'd find heavily J admixed population (at least over 20-30%). The question is what were those early ANE lineages? Q, R1b, and other R1a clades?

EDIT: Chart:

http://i.imgur.com/sphKfP9.png

Dr_McNinja
04-06-2015, 09:35 PM
Plot with two hypothetical Steppe populations: http://i.imgur.com/hf9pI63.png

Steppe-1 is Yamnaya admixture, Steppe-2 is more West Asian (less WHG, more Caucasian).

The "directions" are just made up groups in the general direction of those components, they're not the actual populations from those areas which would be further away. The formula I used only works with South Asians in that it uses any excess ENF not matched into Gedrosian as the basis for Steppe-2 (along with WHG) whereas Steppe-1 is primarily WHG-based.

EDIT: Sindhis includes Lohanas/Memons

Tomasso29
04-06-2015, 10:00 PM
Do you think Y40 as well as L657 and Z2124 was IE-related? Or could it have arrived as a separate migration? It's really amazing to see the huge spread of R1a-Z93 knowing that the origin of these various subclades is less than 5000 years ago.


The problem is do we know for sure that the origin of R1a-Z93 is less than 5000 years old? I don't think SNP counting or whatever method they're using counts as proper evidence. In the case of this topic I suspect that R1a-Z93 has deeper history in Asia than the whole IE picture. I also suspect that it had multiple migrations to South Asia where some were IE speakers and some were pre-IE. The reasoning behind this thinking is that R1a in South Asia may be present and prominent among IE speakers, but its strong presence among non-IE speakers should not be ignored.

newtoboard
04-06-2015, 10:42 PM
The problem is do we know for sure that the origin of R1a-Z93 is less than 5000 years old? I don't think SNP counting or whatever method they're using counts as proper evidence. In the case of this topic I suspect that R1a-Z93 has deeper history in Asia than the whole IE picture. I also suspect that it had multiple migrations to South Asia where some were IE speakers and some were pre-IE. The reasoning behind this thinking is that R1a in South Asia may be present and prominent among IE speakers, but its strong presence among non-IE speakers should not be ignored.

There is R1a in Turks, R1b in basques, R1a among Estonians, R1b among Volga-Ural populations. So are R1a associated with Turkic languages, Basque, Baltic-Finnic and other Uralic languages too in addition to Dravidian? Also Z93+ and Z283+ lineages share a close ancestor so these two clades must have been located adjacent to each other in likelihood.

newtoboard
04-06-2015, 10:43 PM
The problem is do we know for sure that the origin of R1a-Z93 is less than 5000 years old? I don't think SNP counting or whatever method they're using counts as proper evidence. In the case of this topic I suspect that R1a-Z93 has deeper history in Asia than the whole IE picture. I also suspect that it had multiple migrations to South Asia where some were IE speakers and some were pre-IE. The reasoning behind this thinking is that R1a in South Asia may be present and prominent among IE speakers, but its strong presence among non-IE speakers should not be ignored.


There is R1a in Turks, R1b in basques, R1a among Estonians, R1b among Volga-Ural populations, R1a among Arabs, R1b among Assyrians. So are R1a and R1b associated with Turkic languages, Basque, Semitic languages, Baltic-Finnic and other Uralic languages too in addition to Dravidian? Also Z93+ and Z283+ lineages share a close ancestor so these two clades must have been located adjacent to each other in likelihood.

Coldmountains
04-06-2015, 11:30 PM
Reply to post from parasar on Balochi Y-DNA in Dodecad discussion (didn't want to go off-topic):

According to Wikipedia, Balochi are 8% R1b, 28% R1a, 8% E1b1b, 16% J, 24% L.

Brahui are 39.1% R1a, 2.7% E1b1a, 28.2% J, 0.9% N, 7.3% L or (there are two listed) 24% R1a, 28% J, 16% G, 8% L.

Pashtun (presumably HGDP) are 4.2% R1b, 44.8% R1a, 2.1% E1b1b, 6.3% J, 11.5% G, 1% T, 12.5% L.

Burusho are 1% R1b, 27.8% R1a, 8.2% J, 1% G, 16.5% L.

Kalash are 18.2% R1a, 9.1% J, 18.2% G, 25.0% L.

If we presume J and L are pre-IE and G is IE-related (even though not all clades in India would be), then it looks like a pretty fair mix of IE and pre-IE lineages. Certainly L and J are well represented in these old populations. HGDP Pashtun look like a mix of Balochi lineages and a population that is 62% R1a and 23% G for example (and with no L, J, R1b, or E1b).

If Brahui are a similar result of a population that had no J or L, their pre-IE composition would be almost 60% J and 15% L.

Like the Pashtun, in my own count of Jatts (approx 80 individuals), they were over 40% R1a, but the rest was mostly L and J with some H, G, Q, F, etc. Both populations are reputed to be heavily IE influenced.

Do you think Y40 as well as L657 and Z2124 was IE-related? Or could it have arrived as a separate migration? It's really amazing to see the huge spread of R1a-Z93 knowing that the origin of these various subclades is less than 5000 years ago.

EDIT: If this is linked to the genesis of an ANE/ENF "Gedrosian" population in the Early Neolithic in South Central Asia, I would wager we'd find heavily J admixed population (at least over 20-30%). The question is what were those early ANE lineages? Q, R1b, and other R1a clades?

EDIT: Chart:

http://i.imgur.com/sphKfP9.png

Haplogroup E is among Pashtuns certainly much lower than 1% . Just one Pashtun tested in Pakistan was positive for it and this haplogroup was absent in all other samples from Afghanistan and Pakistan. Pashtuns overall tend to be also rich in Haplogroup Q but i am not sure if this true for all Pashtun groups. But i wonder how haplogroup Q arrived in Afghanistan/Pakistan. It is strange that all people around Pashtuns have much less of it than Pashtuns so either this was the result of a founder effect among early Pashtuns or Pashtuns mixed with an ethnic group rich in it . R1a-z93 was found among Tanais Scythians (southwestern Russia), Bronze Age Mongolia ( Scythians) and it looks like that Andronovo males belonged also to this lineage so it is hard to imagine that R1a-z93 was not brought by Steppe Indo-Iranians to Afghanistan, India and Iran. The subclade is also quite young and separated just 5000 years ago from European R1a so it is highly unlikely that south asian Pre-Indo-Europeans were rich in it. But some older and much less common subclades of R1a were maybe already present in South Asia.


I am not sure if haplogroup G is really connected to Indo-European migrations in South Asia and South Central Asia. Madjar Kazakh are rich in it but we can not exclude recent founder effects and much happened in the steppe in the last 3000 years . Ossetian G2a1a is also almost absent outside of the Caucasian mountains and only remotely related to Central Asian and South Asian G. But i would not exclude that G in South Asia has partially a steppe origin.


I think that most of the early ANE in South Asia and South Central Asia was connected to Q, R2 and maybe other older and non-Indo-european branches of R1/R1b/R1a who were the first who mixed with near eastern J and created the ANE/ENF "Gedrosian" population.

parasar
04-07-2015, 12:36 AM
The problem is do we know for sure that the origin of R1a-Z93 is less than 5000 years old? I don't think SNP counting or whatever method they're using counts as proper evidence. In the case of this topic I suspect that R1a-Z93 has deeper history in Asia than the whole IE picture. I also suspect that it had multiple migrations to South Asia where some were IE speakers and some were pre-IE. The reasoning behind this thinking is that R1a in South Asia may be present and prominent among IE speakers, but its strong presence among non-IE speakers should not be ignored.

I would go with about 5000 years old. Proportions may vary, but the pan-subcontinental distribution of the three main Z93 lines - Y40, Z2124, and L657 - makes me doubt multiple inputs. I think R1a made an entry into South Asia close to the Z645 level, and maybe even at the M417 level.

newtoboard
04-07-2015, 12:40 AM
The current estimate of Z93 is 5400-5400 years although I have seen a few estimates of around 6000 years.

And no way parsar. You expect us to believe Z645 evolved twice? once in Russia and once in India? No way. This is even worse than people supporting the West Asian theory of R1b at this point.

Tomasso29
04-07-2015, 12:52 AM
There is R1a in Turks, R1b in basques, R1a among Estonians, R1b among Volga-Ural populations, R1a among Arabs, R1b among Assyrians. So are R1a and R1b associated with Turkic languages, Basque, Semitic languages, Baltic-Finnic and other Uralic languages too in addition to Dravidian? Also Z93+ and Z283+ lineages share a close ancestor so these two clades must have been located adjacent to each other in likelihood.

Could a lineage be associated to all of those languages? Yes it's possible, a lineage can be found in an area without being associated with a language family if it had migrated to those parts before the language was developed. Of course there are other instances where a lineage could indeed be associated with a language family.

In the case of R1a1a in South Asia it's very hard to ignore its presence among Dravidian (Caste and tribal) and other non-IE populations, it's also hard to ignore that both Z93+ and Z93- are present which could indicate multiple migrations. I'm not going to discuss the age of these lineages because there's no evidence on that but I think Z93 and its subclades clearly developed in Asia somewhere, whether this happened after the expansion of IE languages or now we don't know.

parasar
04-07-2015, 01:10 AM
Haplogroup E is among Pashtuns certainly much lower than 1% . Just one Pashtun tested in Pakistan was positive for it and this haplogroup was absent in all other samples from Afghanistan and Pakistan. Pashtuns overall tend to be also rich in Haplogroup Q but i am not sure if this true for all Pashtun groups. But i wonder how haplogroup Q arrived in Afghanistan/Pakistan. It is strange that all people around Pashtuns have much less of it than Pashtuns so either this was the result of a founder effect among early Pashtuns or Pashtuns mixed with an ethnic group rich in it . R1a-z93 was found among Tanais Scythians (southwestern Russia), Bronze Age Mongolia ( Scythians) and it looks like that Andronovo males belonged also to this lineage so it is hard to imagine that R1a-z93 was not brought by Steppe Indo-Iranians to Afghanistan, India and Iran. The subclade is also quite young and separated just 5000 years ago from European R1a so it is highly unlikely that south asian Pre-Indo-Europeans were rich in it. But some older and much less common subclades of R1a were maybe already present in South Asia.



I am not sure if haplogroup G is really connected to Indo-European migrations in South Asia and South Central Asia. Madjar Kazakh are rich in it but we can not exclude recent founder effects and much happened in the steppe in the last 3000 years . Ossetian G2a1a is also almost absent outside of the Caucasian mountains and only remotely related to Central Asian and South Asian G. But i would not exclude that G in South Asia has partially a steppe origin.


I think that most of the early ANE in South Asia and South Central Asia was connected to Q, R2 and maybe other older and non-Indo-european branches of R1/R1b/R1a who were the first who mixed with near eastern J and created the ANE/ENF "Gedrosian" population.

If that were the case I would agree that it would be hard to imagine a non-steppe origin for Z93.

Tomasso29
04-07-2015, 01:17 AM
R1a-z93 was found among Tanais Scythians (southwestern Russia), Bronze Age Mongolia ( Scythians) and it looks like that Andronovo males belonged also to this lineage so it is hard to imagine that R1a-z93 was not brought by Steppe Indo-Iranians to Afghanistan, India and Iran.

Do you have evidence for this or is this your opinion? If it's the former can you please provide the source.

parasar
04-07-2015, 01:23 AM
The current estimate of Z93 is 5400-5400 years although I have seen a few estimates of around 6000 years.

And no way parsar. You expect us to believe Z645 evolved twice? once in Russia and once in India? No way. This is even worse than people supporting the West Asian theory of R1b at this point.

If you note I said Z645 level. Right now I would put the birth of Z645, and even M417 in the east, somewhere close to South Asia. As I had mentioned in another thread the Karelian above the M417 level shows no connection to South Asia, but all M417 samples do [Haak et al.: "This ancestry appears in Central Europe for the first time in our series with the Corded Ware around 2,500 BCE"].

parasar
04-07-2015, 01:33 AM
Do you have evidence for this or is this your opinion? If it's the former can you please provide the source.

Of those three locations, from the Mongolian Altai: http://www.fsigenetics.com/article/S1872-4973(14)00116-1/abstract

Coldmountains
04-07-2015, 01:35 AM
Do you have evidence for this or is this your opinion? If it's the former can you please provide the source.

http://eurogenes.blogspot.de/2014/06/r1a-z93-from-bronze-age-mongolia.html
http://www.anthrogenica.com/showthread.php?2882-Tanais-Kurgan-has-R1a

http://www.ancestraljourneys.org/ancientdna.shtml
Andronovo = R1a1a
Tagar Scythians= R1a

Z93 comes from the Steppe and not from the Near East or South Asia. The presence of R1a among Dravidians is just proving that Dravidians mixed much with Indo-Aryans and we knew already earlier that Dravidians were heavily sanskritized/indo-aryanized.

parasar
04-07-2015, 01:53 AM
http://eurogenes.blogspot.de/2014/06/r1a-z93-from-bronze-age-mongolia.html
http://www.anthrogenica.com/showthread.php?2882-Tanais-Kurgan-has-R1a

http://www.ancestraljourneys.org/ancientdna.shtml
Andronovo = R1a1a
Tagar Scythians= R1a

Z93 comes from the Steppe and not from the Near East or South Asia. The presence of R1a among Dravidians is just proving that Dravidians mixed much with Indo-Aryans and we knew already earlier that Dravidians were heavily sanskritized/indo-aryanized.

While Z93 could indeed originate in the eastern steppes, only the Mongolian Altai R1a is confirmed to be Z93.

Coldmountains
04-07-2015, 02:16 AM
While Z93 could indeed originate in the eastern steppes, only the Mongolian Altai R1a is confirmed to be Z93.

Explain how can R1a-z93 orginate from South Asia or the Near East, when Bronze Age Scythians 3000 years ago in Mongolia carried z93 without having any kind of connection to the South and being similar to other steppe people? European and Asian R1a separated 5000 years ago and the ancestors of Balto-Slavs and Indo-Iranians must live next to each other before they separated and developed distinct languages. So somewhwere in the pontic-caspian steppe z93 was born but i admit that i have no idea where exactly.

parasar
04-07-2015, 02:27 AM
Explain how can R1a-z93 orginate from South Asia or the Near East, when Bronze Age Scythians 3000 years ago in Mongolia carried z93 without having any kind of connection to the South and being similar to other steppe people? European and Asian R1a separated 5000 years ago and the ancestors of Balto-Slavs and Indo-Iranians must live next to each other before they separated and developed distinct languages. So somewhwere in the pontic-caspian steppe z93 was born but i admit that i have no idea where exactly.

I do not know for sure whether they had a connection to south or not. The later R1a from Duurlig Nars clearly had.
As I said, a steppe origin is indeed possible. I just qualified it as eastern steppes. If we have evidence from the western steppes of Z93, I will remove the qualifier.

Tomasso29
04-07-2015, 04:06 AM
http://eurogenes.blogspot.de/2014/06/r1a-z93-from-bronze-age-mongolia.html
http://www.anthrogenica.com/showthread.php?2882-Tanais-Kurgan-has-R1a

http://www.ancestraljourneys.org/ancientdna.shtml
Andronovo = R1a1a
Tagar Scythians= R1a

Z93 comes from the Steppe and not from the Near East or South Asia. The presence of R1a among Dravidians is just proving that Dravidians mixed much with Indo-Aryans and we knew already earlier that Dravidians were heavily sanskritized/indo-aryanized.

Your link only shows that Z93 was confirmed in Mongolia, and even if it was confirmed in the steppe population this does not mean that it was not present in South Asia and the Near East prior to their arrival there. For the record I never claimed that Z93 originated in South Asia or the Near East, I only said that most probably multiple migrations took place which brought these lineages, some were IE and some were not, it's kind of hard to imagine that all of the R1a in India is from an IE migration when this haplogroup along with H1a are the two most dominant lineages in most of the South Asian groups. Not impossible, but highly unlikely.

Dr_McNinja
04-07-2015, 04:09 PM
I took a different approach this time and using the Harappa results:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=50

I added up Caucasian, NE-Euro, Siberian, American, Beringian, Mediterranean, and SW-Asian and labeled it "Mystery Component" all the way to the far right (light green colored columns), then listed the ANE/ENF/WHG/East Eurasian breakdown and composition of this "mystery component".

A trend seems to emerge where there are several different profiles of composition:

Profile 1: ~19-22% ANE, ~27-32% WHG, ~37-42% ENF, ~7-14% East Eurasian (as seen in Haryana Jatts, Bihar Brahmin (Parasar), Uttar Pradesh Brahmin, and some Punjabi Jatts)

Profile 2: ~22-24% ANE, ~19-25% WHG, ~40-45% ENF, ~7-14% East Eurasian (most Punjabi Jatts and some Pahari Brahmins)

Profile 3: ~21-25% ANE, ~15-19% WHG, ~46-52% ENF, ~7-14% East Eurasian (some Punjabi Jatts, Sindhis, Pahari Punjabis, some Western Pahari Brahmins)

Profile 4: ~21-25% ANE, ~12-17% WHG, ~53-60% ENF, ~4-8% East Eurasian (Afghans)

Exceptions include the Bengali who had 16.82% ANE, 33.39% WHG, 23.59% ENF, 26.20% ASE and Fil who clearly had a West Asian-like population (~25% ANE, ~74% ENF, 0% WHG) and the Balochis and nearby populations (Sindhi, Arain, etc) who have extra ENF which could be a basal layer diluting their percentages or could represent a separate ancestral population altogether.

Other issues are that it starts off with an imperfect source, the HarappaWorld calculator, and all of its quirks (like the S-Indian component, and how it generally overestimates ENF/WHG and underestimates ANE).

But the results could be interpreted to say, for example that Sapporo (HRP0341) has 30.06% S-Indian, 40.77% Gedrosian, 29.08% "Mystery Component" where the mystery component is itself comprised of 21.95% ANE, 21.24% WHG, 45.60% ENF, 10.51% East Eurasian.

Contrast with me (HRP0349) who has 37.11% S-Indian, 34.88% Gedrosian, 0.85% Papuan, 27.12% "Mystery Component" where the mystery component is 22.27% ANE, 19.12% WHG, 44.54% ENF, 13.57% East Eurasian. These are very close, even with the high East Eurasian.

Compare with my mother who doesn't have as much East Eurasian noise and has 34.94% S-Indian, 37.30% Gedrosian, 0.81% Papuan, 26.95% Mystery Component where the latter is 23.13% ANE, 19.97% WHG, 45.84% ENF, 10.51% East Eurasian.

I would interpret these to indicate the "mystery component" between the three of us is very similar, with differences arising from the fact that multiple migrations into the northwest Indian subcontinent have caused mixing and blurring of genetic lines that may have once existed. This mystery component corresponds to Profile 2 with perhaps a very slight mix between Profile 2 and Profile 3.

Meanwhile in India it looks like the same source population contributed 35% to the Sarao Punjabi Jatt, ~20% to Parasar (HRP0003 Bihari Brahmin), and ~29-34% to the Haryana Jatts with some mixing. Particularly near the north where an East Eurasian signal still comes through which could mean that the East Eurasian from the Himalayas actually came with some ANE (not a real surprise) and so it shouldn't be factored in here, really. Most of the East Eurasian is probably coming from the Siberian and Beringian components (moreso the Siberian). I should probably exclude SW-Asian as well, except that noise is appearing across the board in all groups, not just the Balochis/Pashtun.

I'll make a copy of the sheet without those and see how it turns out.

Dr_McNinja
04-07-2015, 04:59 PM
Here's a sheet without using Siberian, Beringian, and SW-Asian. So just Caucasian, NE-Euro, Mediterranean, and Amerindian. The South Asian groups cluster closer together:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=51

Some are not surprising because the various individuals have similar admixture anyway, but others are surprising (all the Jatt Muslims except one from Faisalabad are together, including those who plot very differently on the PCA... the one near the Haryana Jatts is usually the most East-shifted and the Bajwa is usually among the Jatt Sikhs). EDIT: This might not be surprising because the Sarao Jatt who is near the Haryana Jatts and the Faisalabad Muslim Jatt are both distant cousins of mine, the Sarao 4-5 generations and the Faisalabadi 3 generations. The layout also suggests mixing between Jatts and some other kinds of North Indians or Pakistan-area locals.

When leaving in Beringian, the Bengali's component appears very close to Yamnaya. It still does in this one.

I put Beringian/Siberian/SW-Asian into "Mystery Component 2", in some it's obvious it should've been part of 1 (like Fil), but it does form its own pattern in some individuals indicating that for some it's noise and for others, it represents something.

While this may make a better overall visual representation (because it more or less better tracks WHG, so the layout is somewhat like the K7/K8 calculators) I'm fairly sure Siberian/Beringian/etc came with these other groups, but the components are too noisy to beaccurate. I'd bet some ANE/WHG is being picked up as East Eurasian here.

EDIT: The Pashtun like HRP0370 could represent a mix of the Iranian mystery component and the North Indian (Haryana/UP/Bihar/Nepal) mystery component. It's almost halfway between the two for HRP0370 and closer to the Iranian one for the others.

Dr_McNinja
04-07-2015, 05:25 PM
Candidates:

1. Karelia/Samara HGs: 37.71% ANE, 52.40% WHG, 0% ENF, 8% East Eurasian (possible northwesternly ancestor of Yamnaya)
2. Yamnaya: 34.38% ANE, 35.64% WHG, 23.96% ENF, 4.72% ASE (Mix of #1 and #3)
3. Possible southeasternly ancestor of Yamnaya: 31.06% ANE, 18.88% WHG, 47.91% ENF, 2.15% ASE (mix of #4 and #5)
4. Missing link between Gedrosian and southeasternly ancestor of Yamnaya: 24.71% ANE, 34.76% WHG, 40.71% ENF, 2.40% ASE
5. Gedrosian: 35.41% ANE, 0% WHG, 55.11% ENF, 9.28% ASE

So the Harappa calculator indicates South Asians could be a mix of #5, #4, and an Indian population in the northern part of the subcontinent.

Something like a cross between Tajiks, Tatars, Turkmen, and eastern Russians could fit the various profiles of this mystery component (that particular combination of WHG/ANE/ENF/East Eurasian doesn't seem to be found in Central Asia today). The further towards Afghanistan you go, the more Tajik-like it is, and the further into India the more North Caucasus-like it is (Chechen/Kumyk/Lezgin, which have high enough WHG and ANE at the same time out of anyone else to qualify, but still not high enough WHG). Except it's shifted to the East because of the high East Eurasian. If R-Z93 came straight from the north (southwestern Siberia), such a population could have been there ~5000ya.

EDIT: Also, Yamnaya here would be modeled as:

~30% Gedrosian, 68% Mystery Component, with the latter being ~19-20% ANE, ~43-44% WHG, ~30-32% ENF, ~5-6% East Eurasian.

(EDIT: For the Bengali, the component looks Eastern European/Balkans, like Romanian/Bosnian, it's 5% less ANE than the Yamnaya's)

Since these are from the Harappa calculator, assume higher ANE, lower ENF, probably lower WHG, for all results.

Dr_McNinja
04-07-2015, 10:12 PM
Vadim sent me his K14 calculator with the ANI component, I ran the genomes I have through it:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=53

The overlap in SNPs is small so I listed it to the side.

It seems pretty good though since the little deviations from what's expected could be attributed to the low coverage (ASI and Papuan overlap a little, my mom's first cousin's difference from the rest of us shows that though they are just as inbred as my mom/grandmother... West Eurasia K8 did a more predictable job of separating Oceanian from ASE, I was also near 4%).

Big thanks to Vadim for pursuing this.

This sort of backs up what I was doing above with the "mystery component" for South Asians (add Gedrosian and the Mystery Component and you get something approaching this ANI component roughly, and that's with Harappa S-Indian component which isn't ASI).

The leftover Caucasian/European is probably inevitable with a component that peaks in the Pakistan area it seems (since WHG will be left over). The WHG being left out seems to me to suggest that this component is something like 50/50 ENF:ANE... like the hypothetical "Pre/Early Neolithic South Central Asian + ENF" compound Gedrosian component I was using in the K7/K8 sheets mentioned in this thread a few pages back (Column 'AH' in this sheet (https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=43)).

Dr_McNinja
04-07-2015, 10:26 PM
The reason I was doing the mystery component method only now despite it seeming so obvious was because until now we didn't really have an idea of what Gedrosian truly represented or what early IE Steppe populations (i.e, Yamnaya) would look like.

That and when I was doing coordinate/PCA plots I saw the HAP components were acting like an axis in the middle of South Asians so the other components were kind of used to pull individuals in various directions relative to that axis. So everyone "northwest" of HAP Baloch was pulled that way by Caucasian and NE-Euro. Everyone "southwest" of the axis was pulled that way by Near Eastern components. Everyone "northeast" of the Baloch-S_Indian axis was pulled that way with East Eurasian components.

The displacement from the axis was most likely by a third prominent South Asian component (a type of ANI distinct from Gedrosian... and Gedrosian being WHG-less, it would probably be the IE Steppe-type).

Plus with the Haryana Jatts, Punjabi Jatts, and Pashtun being clearly pulled in separate directions, that suggested different steppe sources (since these were WHG based and I'm assuming the ultimate origin of WHG in South Asia is from the Steppe a very long time ago).

This method should hypothetically work in any calculator with a Gedrosian component and a suitable South Indian or ASE/ASI component.

newtoboard
04-07-2015, 10:44 PM
Could a lineage be associated to all of those languages? Yes it's possible, a lineage can be found in an area without being associated with a language family if it had migrated to those parts before the language was developed. Of course there are other instances where a lineage could indeed be associated with a language family.

In the case of R1a1a in South Asia it's very hard to ignore its presence among Dravidian (Caste and tribal) and other non-IE populations, it's also hard to ignore that both Z93+ and Z93- are present which could indicate multiple migrations. I'm not going to discuss the age of these lineages because there's no evidence on that but I think Z93 and its subclades clearly developed in Asia somewhere, whether this happened after the expansion of IE languages or now we don't know.

Why should Z93+ have had to develop in Asia? Z93's brother clade (Z283) is European. And the brother (CTS4385) of the common ancestor of Z93 and Z283 (Z645) is also European. I heard the same thing for L23, Z2103 etc (they originated in Asia and that even Proto Semitic speakers carried R1b-L23) and any theory of either of those originating in Asia looks very weak (unless we are talking about a region that is basically on the border ie NW Kazakhstan and the Volga Urals region).

Generalissimo
04-07-2015, 10:57 PM
Your link only shows that Z93 was confirmed in Mongolia, and even if it was confirmed in the steppe population this does not mean that it was not present in South Asia and the Near East prior to their arrival there. For the record I never claimed that Z93 originated in South Asia or the Near East, I only said that most probably multiple migrations took place which brought these lineages, some were IE and some were not, it's kind of hard to imagine that all of the R1a in India is from an IE migration when this haplogroup along with H1a are the two most dominant lineages in most of the South Asian groups. Not impossible, but highly unlikely.

The Z93 in Indian tribals and Dravidians is a subest of the Z93 in north India, Pakistan and central Asia.

You need the Z93 in south India to be more basal for your theory to work. But it's not.

Tomasso29
04-07-2015, 11:23 PM
The Z93 in Indian tribals and Dravidians is a subest of the Z93 in north India, Pakistan and central Asia.

You need the Z93 in south India to be more basal for your theory to work. But it's not.

I'm assuming you're talking about L657? That does seem to be the most dominant R1a1a lineage in India and I would not be surprised if it had arrived there before there was any IE speakers. I know people are calling such SNPs young and all but I don't take the methods used seriously. L657- also exists in India and is probably a better candidate to be the only who came with the IE speakers given its modern distribution and spread in the Indo-Iranian world.

Dr_McNinja
04-07-2015, 11:39 PM
I'm assuming you're talking about L657? That does seem to be the most dominant R1a1a lineage in India and I would not be surprised if it had arrived there before there was any IE speakers. I know people are calling such SNPs young and all but I don't take the methods used seriously. L657- also exists in India and is probably a better candidate to be the only who came with the IE speakers given its modern distribution and spread in the Indo-Iranian world.There's plenty of Z2124 in India (more in the Southwest I think) but L657 dwarfs it and has almost a complete monopoly over the northwestern groups with high European admixture. Z2124 is certainly IE-related since most Afghan R1a is Z2124.

Generalissimo
04-07-2015, 11:44 PM
I'm assuming you're talking about L657? That does seem to be the most dominant R1a1a lineage in India and I would not be surprised if it had arrived there before there was any IE speakers. I know people are calling such SNPs young and all but I don't take the methods used seriously. L657- also exists in India and is probably a better candidate to be the only who came with the IE speakers given its modern distribution and spread in the Indo-Iranian world.

I'm talking about the structure of Z93 in South Central Asia and India, including that of L657. There are no basal tribal and Dravidians lineages there that would appear to have entered the Indian subcontinent much earlier than the Indo-Aryan lineages; everything looks Indo-Aryan, with clearly the more derived subclades dominating in the south.

You can't base your argument on the notion that something looks implausible. It might look implausible to you, but not to me.

Tomasso29
04-07-2015, 11:51 PM
There's plenty of Z2124 in India (more in the Southwest I think) but L657 dwarfs it and has almost a complete monopoly over the northwestern groups with high European admixture. Z2124 is certainly IE-related since most Afghan R1a is Z2124.

Agree on Z2124, it's highly likely that it came with the IE groups, with L657 I'm on the fence, if anything it developed somewhere in the southern parts since its spread is mostly around South Asia and Arabia (Possibly through ancient trade).

I have mentioned it in the past but the ratio and relationship between R1a-L657 positive and negative reminds me a lot with what we're seeing in R2a-L295. Like L657+ we're seeing a very strong presence of L295+ in South Asia and we're also seeing it in Arabia, L295- does exist in South Asia but so far it only makes up 30% of the R2a's we're seeing in the WTY project and it's mostly found in the northern and western parts (Sort of like R1a-Z2124 in South Asia).


I'm talking about the structure of Z93 in South Central Asia and India, including that of L657. There are no basal tribal and Dravidians lineages there that would appear to have entered the Indian subcontinent much earlier than the Indo-Aryan lineages; everything looks Indo-Aryan, with clearly the more derived subclades dominating in the south.

You can't base your argument on the notion that something looks implausible. It might look implausible to you, but not to me.

Do you have some sources that show what subclades of R1a tribal Indians carry? Just like how you think I can't base my argument on the notion of something looking implausible, I also think that you can't tie every single R1a in South Asia to Indo-Aryans based on the evidence (Or lack of) you have today.

newtoboard
04-07-2015, 11:51 PM
The Z93 in Indian tribals and Dravidians is a subest of the Z93 in north India, Pakistan and central Asia.

You need the Z93 in south India to be more basal for your theory to work. But it's not.

Do you think this sounds likely?

Indo-Iranian splits into Iranian and Aryan circa 2500 BC. Iranian speakers are represented by the Abashevo culture of the forest steppe and primarily carry R1a-Z2123. Indo-Aryan is represented by the Poltavka culture of the Ural-Volga steppe and carry R1a-L657. Poltavka forms the dominant component in the Tazgyab (sp?) culture which forms in the NW portion of Andronovo territory due to intensive contacts with the BMAC. Abashevo is implicated in the formation of the rest of Andronovo, all the Andronovoid cultures, and Scythio Siberians. This would explain why Indo-Aryan speakers have less WHG ancestry than Iranian speakers, why BMAC linguistic influence seems higher in Indo-Aryan as well as the almost complete absence of R1a-L657 in Europeans but the presence of R1a-Z2123.

Of course it is possible that just Poltavka or just Abashevo represents both subgroups. Poltavka had Potapovka in its northern stretch and Abashevo has three different variants so enough room for both Iranian and Indo-Aryan there.

newtoboard
04-07-2015, 11:55 PM
I'm assuming you're talking about L657? That does seem to be the most dominant R1a1a lineage in India and I would not be surprised if it had arrived there before there was any IE speakers. I know people are calling such SNPs young and all but I don't take the methods used seriously. L657- also exists in India and is probably a better candidate to be the only who came with the IE speakers given its modern distribution and spread in the Indo-Iranian world.

Andronovo is a huge horizon. The idea that Andronovo couldn't be the homeland for two Z93+ subclades is ridiculous. I get that the steppe might be homogenous relative to more settled areas but the idea that the Asian steppe couldn't have housed two sublineages of a lineage that is just 5400-6000 years old makes no sense.

Tomasso29
04-07-2015, 11:59 PM
Andronovo is a huge horizon. The idea that Andronovo couldn't be the homeland for two Z93+ subclades is ridiculous. I get that the steppe might be homogenous relative to more settled areas but the idea that the Asian steppe couldn't have housed two sublineages of a lineage that is just 5400-6000 years old makes no sense.

I never said that the steppes can't house multiple ancient Z93+ lineages, I'm simply disputing that all of it is IE, some may have been there before the IE languages existed and I would not be surprised if some of it already existed in the Indus Valley before the Indo-Aryans had arrived.

parasar
04-08-2015, 12:19 AM
Why should Z93+ have had to develop in Asia? Z93's brother clade (Z283) is European. And the brother (CTS4385) of the common ancestor of Z93 and Z283 (Z645) is also European. I heard the same thing for L23, Z2103 etc (they originated in Asia and that even Proto Semitic speakers carried R1b-L23) and any theory of either of those originating in Asia looks very weak (unless we are talking about a region that is basically on the border ie NW Kazakhstan and the Volga Urals region).

On the flip side we have M417* and Z93 in southern India. That M417* is a line like its counterpart CTS4385 in western Europe.
I think we will find a number of M417 lines in South Asia.

newtoboard
04-08-2015, 12:20 AM
I never said that the steppes can't house multiple ancient Z93+ lineages, I'm simply disputing that all of it is IE, some may have been there before the IE languages existed and I would not be surprised if some of it already existed in the Indus Valley before the Indo-Aryans had arrived.

No way. They are pretty much all the same age and there is no reason to suggest one originated in Asia while the other originated in Europe. Not to mention there is no known migration that would have brought any sublineage of Z645 to Asia from Europe other than the Tarim mummies and Andronovo. Any migration of Z93+ would have had to come from an IE speaking source.

newtoboard
04-08-2015, 12:20 AM
On the flip side we have M417* and Z93 in southern India. That M417* is a line like its counterpart CTS4385 in western Europe.

Link to the M417*? That hasn't been proven and isn't this the lineage with a young TMRCA?

Tomasso29
04-08-2015, 12:24 AM
No way. They are pretty much all the same age and there is no reason to suggest one originated in Asia while the other originated in Europe. Not to mention there is no known migration that would have brought any sublineage of Z645 to Asia from Europe other than the Tarim mummies and Andronovo. Any migration of Z93+ would have had to come from an IE speaking source.

Well that's your opinion of course.

newtoboard
04-08-2015, 12:29 AM
Well that's your opinion of course.

What is? That there is no known migration other than the ones mentioned in the time frame after Z645+ originated. Not really. Just basic archeology.

Megalophias
04-08-2015, 12:43 AM
Link to the M417*? That hasn't been proven and isn't this the lineage with a young TMRCA?

South Indian M417* is in the big Underhill 2014 R1a study. The old Sahoo/Trivedi studies also reported some R1a1(xM17) as well.

Tomasso29
04-08-2015, 12:48 AM
What is? That there is no known migration other than the ones mentioned in the time frame after Z645+ originated. Not really. Just basic archeology.

What do you mean no known migration? Can you please elaborate what archaeology is tied to the migration you speak of?

Look, I get that Z645 could have migrated from the Steppes of Ukraine and headed east where it most likely mutated in the form of Z93 in Central Asia, my point is there's no evidence that Z93 mutated before or after the IE languages, for all we know Z93 may have already been in Asia before the Indo-European languages had arrived. If that scenario is possible it could also mean that not all Z93+ in Asia is IE, some are and some are not. Of course it's equally possibly that L657 is indeed a mutation that happened in South Asia which came from the Indo-Iranians, the point I'm trying to make is we don't know because the methods we're using about SNP aging are not to be taken seriously. The only thing that can prove anything at this point is ancient DNA in South Asia.

Generalissimo
04-08-2015, 12:53 AM
South Indian M417* is in the big Underhill 2014 R1a study. The old Sahoo/Trivedi studies also reported some R1a1(xM17) as well.

Don't forget that the big Underhill study couldn't even place Z280 correctly on the R1a tree. So I'll believe there's M417* in India when I see it confirmed elsewhere.

But even if there is some M417* in India, the fact remains that more than 99% of Indian R1a belong to lineages well under Z93. There's nothing special about them. They could all easily be derived from Indo-Aryan Z93 in Central Asia.

Dr_McNinja
04-08-2015, 02:44 AM
I am curious what the R, R1 and R1a South Asians on 23andMe really have. On YFull, HG03705 (PJL) is listed under R-Z93 (perhaps meant to be R-Z93*?).

Anyone know where YF02655 (R-YP1451) is from?

parasar
04-08-2015, 02:50 AM
Link to the M417*? That hasn't been proven and isn't this the lineage with a young TMRCA?

India South M417 *(xZ93, xZ282) 1%(1/97)
http://www.nature.com/ejhg/journal/v23/n1/extref/ejhg201450x5.xls
TMRCA cannot be calculated.

parasar
04-08-2015, 03:18 AM
Don't forget that the big Underhill study couldn't even place Z280 correctly on the R1a tree. So I'll believe there's M417* in India when I see it confirmed elsewhere.

But even if there is some M417* in India, the fact remains that more than 99% of Indian R1a belong to lineages well under Z93. There's nothing special about them. They could all easily be derived from Indo-Aryan Z93 in Central Asia.
Can you explain well under?


Underhill et al. also explained why they did not use Z280 (beyond placing it close to the Z282 level) as it is present in a duplicated ampliconic region.

The marker Z280 was not used as it maps to duplicated ampliconic tracts.

lgmayka
04-08-2015, 03:31 AM
I am curious what the R, R1 and R1a South Asians on 23andMe really have. On YFull, HG03705 (PJL) is listed under R-Z93 (perhaps meant to be R-Z93*?).
I think that position means that the sample did not give a reliable result for one of the subclade SNPs. So its precise placement is unclear.


Anyone know where YF02655 (R-YP1451) is from?
The R1a Project (https://www.familytreedna.com/public/r1a/default.aspx?section=yresults) lists the Mason family of England as R-YP1451. I suspect one of them is YF02655. The subclade was defined based on that sample and Iran3 (a recently published research sample).

parasar
04-08-2015, 03:42 AM
I am curious what the R, R1 and R1a South Asians on 23andMe really have. On YFull, HG03705 (PJL) is listed under R-Z93 (perhaps meant to be R-Z93*?).

Anyone know where YF02655 (R-YP1451) is from?

HG03705 is Z94-

R-YP1451
GFE8B, 92134 (https://www.familytreedna.com/public/DNA-Mason-Worldwide/default.aspx?section=ysnp ) Mason USA Z94-, Z283- is I believe Z93+YP1451+YP1452+

BMG
04-08-2015, 03:55 AM
Agree on Z2124, it's highly likely that it came with the IE groups, with L657 I'm on the fence, if anything it developed somewhere in the southern parts since its spread is mostly around South Asia and Arabia (Possibly through ancient trade).

I have mentioned it in the past but the ratio and relationship between R1a-L657 positive and negative reminds me a lot with what we're seeing in R2a-L295. Like L657+ we're seeing a very strong presence of L295+ in South Asia and we're also seeing it in Arabia, L295- does exist in South Asia but so far it only makes up 30% of the R2a's we're seeing in the WTY project and it's mostly found in the northern and western parts (Sort of like R1a-Z2124 in South Asia).



Do you have some sources that show what subclades of R1a tribal Indians carry? Just like how you think I can't base my argument on the notion of something looking implausible, I also think that you can't tie every single R1a in South Asia to Indo-Aryans based on the evidence (Or lack of) you have today.
As parasar said south asian R1a subclades belongs to three main sub clades L657 ,Z2123 and Y40 .Only the proportion varies . The population movement was much more fluid within south asia especially when buddhism and jainism flourished .If you think south indian R1a belongs to an earlier migration you are wrong . Yfull analysis doesnt show such distinctions between northen and southern indian R1a .If at all the ratio of Z2123 is higher in south india than in north india .
We dont know the which subclades the tribal R1a belong but it could be any of above mentioned ones .
Even if the all the south asian R1a is not of i ndo-aryan origin they have ultimately origins in steppes . At present threre is no evidence to the contrary

Tomasso29
04-08-2015, 05:28 AM
If you think south indian R1a belongs to an earlier migration you are wrong .

I said some Indian R1a, not all, and I'll wait for aDNA to prove if I'm wrong or right.


Even if the all the south asian R1a is not of i ndo-aryan origin they have ultimately origins in steppes .

I'm not talking about origin points here, in fact I agree with your opinion that the origin of R1a was very likely on the steppes. All I'm saying is it would not shock me if some R1a in South Asia is pre-Indo-European.

Hector
04-08-2015, 11:19 AM
It is so ironic that people get so pumped up by their imagined ancestors even when those actually are not their ancestors.
I am quite confident that some R1a's in India are not from the "Aryan invasion" and even if R1a's origin were ultimately in the Ukrainian Steppes there would be no reason for Europeans to have their chests swell with pride because you cannot project the current racial identity that far back in time.

...Unless you guys all admit that the vast majority of northern Europeans are patrilineal descendants of probably negrito-looking SE Asians.

Generalissimo
04-08-2015, 01:32 PM
It is so ironic that people get so pumped up by their imagined ancestors even when those actually are not their ancestors.
I am quite confident that some R1a's in India are not from the "Aryan invasion" and even if R1a's origin were ultimately in the Ukrainian Steppes there would be no reason for Europeans to have their chests swell with pride because you cannot project the current racial identity that far back in time.

...Unless you guys all admit that the vast majority of northern Europeans are patrilineal descendants of probably negrito-looking SE Asians.

Thanks Hector for keeping us humble and grounded.

parasar
04-08-2015, 02:47 PM
Andronovo is a huge horizon. The idea that Andronovo couldn't be the homeland for two Z93+ subclades is ridiculous. I get that the steppe might be homogenous relative to more settled areas but the idea that the Asian steppe couldn't have housed two sublineages of a lineage that is just 5400-6000 years old makes no sense.

No doubt multiple Z93 could have been present in Andronovo.

A few points on relative horizon comparisons.

First, flat map projections make the steppe areas look geographically larger that they actually are!

Second, up north the weather conditions preserve cultural artifacts and human remains better for studying while in places like South Asia almost everything gets wiped out in a few generations.

More importantly, in a population sense, if Andronovo is a huge horizon how about South Asia? Right now South Asia harbors about 25% of the world's population, and it the past it may have been 40% or more. In that sense Andronovo would almost vanish as an horizon.

http://i.imgur.com/I81xSNt.png

Scarlet Ibis
04-08-2015, 03:30 PM
It is so ironic that people get so pumped up by their imagined ancestors even when those actually are not their ancestors.
I am quite confident that some R1a's in India are not from the "Aryan invasion" and even if R1a's origin were ultimately in the Ukrainian Steppes there would be no reason for Europeans to have their chests swell with pride because you cannot project the current racial identity that far back in time.

...Unless you guys all admit that the vast majority of northern Europeans are patrilineal descendants of probably negrito-looking SE Asians.

This whole "HA HA! UR FUNNY, I'VE GOT YOU RACISTS, AND EUROCENTRICS FIGURED OUT" schtick has really got to stop. Opposing viewpoints are welcome, but not consistent accusations of racism. By now, I've seen it one too many times when it hasn't had 1 iota of relevance to the topic.

Dr_McNinja
04-08-2015, 04:36 PM
That thing I did yesterday with the Harappa sheet, I did again but keeping original Harappa components so I could run them through the Oracle:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=55

If South Asians are a three way mix of HAP S-Indian, HAP Baloch, and a third primary missing component, these are the most similar populations in the Oracle:

Haryana and North India:


23 Caucasian, 50 NE-Euro, 13.25 Med, 1.25 SW-Asian, 10 Arctic

[1,] "70.6% russian_behar_2 + 29.4% turk-aydin_hodoglugil_20" "9.1428"
[2,] "20.8% druze_hgdp_42 + 79.2% russian_behar_2" "9.4354"
[3,] "30.4% nogai_yunusbayev_16 + 69.6% russian_behar_2" "9.5018"
[4,] "23.1% cypriot_behar_12 + 76.9% russian_behar_2" "9.6879"
[5,] "75.4% russian_behar_2 + 24.6% turk_behar_19" "9.7795"

28 Caucasian, 43 NE-Euro, 10.40 Med, 6.53 SW-Asian, 12.45 Arctic

[1,] "35.6% druze_hgdp_42 + 64.4% russian_hgdp_25" "10.3672"
[2,] "41.5% finnish_1000genomes_100 + 58.5% turk-aydin_hodoglugil_20" "10.5372"
[3,] "32.6% druze_hgdp_42 + 67.4% mordovian_yunusbayev_15" "10.9992"
[4,] "49.2% cypriot_behar_12 + 50.8% finnish_1000genomes_100" "11.201"
[5,] "33% druze_hgdp_42 + 67% russian_behar_2" "11.2923"

29 Caucasian, 51 NE-Euro, 8.5 Med, 0 SW-Asian, 10 Arctic

[1,] "23.7% georgian_behar_20 + 76.3% russian_behar_2" "10.5816"
[2,] "62.4% finnish_1000genomes_100 + 37.6% georgian_behar_20" "10.7205"
[3,] "24.3% abhkasian_yunusbayev_20 + 75.7% russian_behar_2" "10.7391"
[4,] "30% balkar_yunusbayev_19 + 70% russian_behar_2" "10.8187"
[5,] "28.9% north-ossetian_yunusbayev_15 + 71.1% russian_behar_2" "10.8876"

25 Caucasian, 63 NE-Euro, 3.2 Med, 0 SW-Asian, 9 Arctic

[1,] "73.1% finnish_1000genomes_100 + 26.9% georgian_behar_20" "9.0158"
[2,] "27.5% abhkasian_yunusbayev_20 + 72.5% finnish_1000genomes_100" "9.2747"
[3,] "31.8% adygei_hgdp_17 + 68.2% finnish_1000genomes_100" "9.9221"
[4,] "32.1% balkar_yunusbayev_19 + 67.9% finnish_1000genomes_100" "10.0124"
[5,] "68.7% finnish_1000genomes_100 + 31.3% north-ossetian_yunusbayev_15" "10.0406"

Central/Eastern Punjab (Jatt)


38 Caucasian, 41 NE-Euro, 1.20 Med, 7.32 SW-Asian, 11.90 Arctic

[1,] "49.8% finnish_1000genomes_100 + 50.2% georgian_behar_20" "12.8689"
[2,] "51.4% abhkasian_yunusbayev_20 + 48.6% finnish_1000genomes_100" "13.2743"
[3,] "52.5% druze_hgdp_42 + 47.5% finnish_1000genomes_100" "13.6995"
[4,] "60.6% balkar_yunusbayev_19 + 39.4% finnish_1000genomes_100" "13.7936"
[5,] "40.9% finnish_1000genomes_100 + 59.1% north-ossetian_yunusbayev_15" "13.9716"

40 Caucasian, 35 NE-Euro, 4.54 Med, 4.50 SW-Asian, 16.22 Arctic

[1,] "57.9% chuvash_behar_17 + 42.1% georgian_behar_20" "14.648"
[2,] "43.3% abhkasian_yunusbayev_20 + 56.7% chuvash_behar_17" "15.2318"
[3,] "55.8% chuvash_behar_17 + 44.2% druze_hgdp_42" "15.6428"
[4,] "54.3% balkar_yunusbayev_19 + 45.7% chuvash_behar_17" "16.0549"
[5,] "52.9% adygei_hgdp_17 + 47.1% chuvash_behar_17" "16.153"

43 Caucasian, 42 NE-Euro, 1 Med, 3.22 SW-Asian, 10.39 Arctic

[1,] "47% finnish_1000genomes_100 + 53% georgian_behar_20" "12.1288"
[2,] "54.2% abhkasian_yunusbayev_20 + 45.8% finnish_1000genomes_100" "12.7173"
[3,] "63.7% balkar_yunusbayev_19 + 36.3% finnish_1000genomes_100" "14.0584"
[4,] "62.9% adygei_hgdp_17 + 37.1% finnish_1000genomes_100" "14.118"
[5,] "37.9% finnish_1000genomes_100 + 62.1% north-ossetian_yunusbayev_15" "14.2066"

Western Punjab (Pahari) (Pakistan)


53 Caucasian, 34 NE-Euro, 7.57 SW-Asian, 5 Arctic

[1,] "34.8% finnish_1000genomes_100 + 65.2% georgian_behar_20" "13.2267"
[2,] "66.7% abhkasian_yunusbayev_20 + 33.3% finnish_1000genomes_100" "14.2632"
[3,] "58.9% georgian_behar_20 + 41.1% russian_behar_2" "15.4681"
[4,] "60.4% abhkasian_yunusbayev_20 + 39.6% russian_behar_2" "16.1671"
[5,] "61.3% georgian_behar_20 + 38.7% russian_hgdp_25" "16.3088"

Baloch


54 Caucasian, 25 NE-Euro, 1 Med, 15 SW-Asian, 5.36 Arctic

[1,] "76.6% druze_hgdp_42 + 23.4% finnish_1000genomes_100" "12.7377"
[2,] "72.5% druze_hgdp_42 + 27.5% russian_behar_2" "14.1183"
[3,] "74.2% druze_hgdp_42 + 25.8% russian_hgdp_25" "14.6257"
[4,] "73.1% druze_hgdp_42 + 26.9% mordovian_yunusbayev_15" "14.8244"
[5,] "76.5% druze_hgdp_42 + 23.5% lithuanian_behar_10" "14.9756"

Afghanistan/Pashtun


54 Caucasian, 26 NE-Euro, 5.5 Med, 6.4 SW-Asian, 8.4 Arctic

[1,] "28.9% finnish_1000genomes_100 + 71.1% georgian_behar_20" "14.2511"
[2,] "65.1% georgian_behar_20 + 34.9% russian_behar_2" "14.7307"
[3,] "67% georgian_behar_20 + 33% russian_hgdp_25" "15.127"
[4,] "72.7% abhkasian_yunusbayev_20 + 27.3% finnish_1000genomes_100" "15.1955"
[5,] "33.5% belorussian_behar_9 + 66.5% georgian_behar_20" "15.4276"
[6,] "64.3% georgian_behar_20 + 35.7% ukranian_yunusbayev_20" "15.4745"
[7,] "65.6% georgian_behar_20 + 34.4% mordovian_yunusbayev_15" "15.511"
[8,] "66.8% abhkasian_yunusbayev_20 + 33.2% russian_behar_2" "15.5223"
[9,] "35.9% chuvash_behar_17 + 64.1% georgian_behar_20" "15.5544"
[10,] "49.7% bulgarian_yunusbayev_13 + 50.3% georgian_behar_20" "15.5743"As before, nothing today quite fits. It would be like modern day Steppe/Caucasus populations moved over into Central Asia with a little Siberian-type admixture thrown in.

Dr_McNinja
04-08-2015, 07:19 PM
Further messing about:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=50

I named the North Indian component 'Indo-Aryan', and the one towards Afghanistan as 'Indo-Iranian'. It's a very rough approximation based off the differences in WHG/ENF.

So the "Indo-Aryan" was .2061 ANE, .2960 WHG, .4037 ENF, .0937 East Eurasian. The Indo-Iranian was .2260 ANE, .1430 WHG, .5461 ENF, .0747 East Eurasian.

For example,

HRP0370 Afghan Pashtun
15.04% S-Indian
35.35% Gedrosian
48.54% Indo-European (1.82% Indo-Aryan, 46.72% Indo-Iranian)

HRP0341 Punjabi Jatt Sikh

30.06% S-Indian
40.77% Gedrosian
29.08% Indo-European (13.74% Indo-Aryan, 15.34% Indo-Iranian)

HRP0349

37.11% S-Indian
34.88% Gedrosian
27.12% Indo-European (12.03% Indo-Aryan, 15.09% Indo-Iranian)

HRP0003 Bihar Brahmin

39.12% S-Indian
37.52% Gedrosian
19.89% Indo-European (17.72% Indo-Aryan, 2.17% Indo-Iranian)

HRP0170 Haryana Jatt

26.46% S-Indian
39.18% Gedrosian
34.06% Indo-European (31.03% Indo-Aryan, 3.03% Indo-Iranian)

Fil (South Indian Malayali Cochin Jew)

44.46% S-Indian
34.83% Gedrosian
14.19% Indo-European (0% Indo-Aryan, 14.19% Indo-Iranian) However, Fil has 14.19% of a component that's 25% ANE, 75% ENF, so that's more like 14.19% West Asian.

I have a feeling the people west of the Indus would be a better fit of three IE populations, two Indo-Iranian waves (an earlier one which mixed with Indo-Aryan, and a later one).

EDIT: Also my working theory for the inflated S-Indian is that Oceanian inflates S-Indian which uses up a bunch of ANE, leaving very little for Gedrosian and European, which winds up leaving extra WHG for "EEF"-type admixture (which I've always gotten a lot of). If a calculator had a South Asian component that didn't track Oceanian, the effect would reverse. MDLP-22 sort of did this (with all the Archaic components, it took some out of South Asian). myOrigins also. Similar effect happening in all groups near the Himalayas where there seems to be a source of Oceanian admixture that comes with less ASI/ASE than in the far southeastern coast of the subcontinent.

newtoboard
04-08-2015, 10:38 PM
India South M417 *(xZ93, xZ282) 1%(1/97)
http://www.nature.com/ejhg/journal/v23/n1/extref/ejhg201450x5.xls
TMRCA cannot be calculated.


So it is beyond rare then. Also couldn't this just be a back mutation in Z93? Didn't somebody find a few examples of R1a-Z93- L342.2+?

parasar
04-08-2015, 10:52 PM
So it is beyond rare then. Also couldn't this just be a back mutation in Z93? Didn't somebody find a few examples of R1a-Z93- L342.2+?

About the same rarity as CTS4385 in Europe.
Very unlikely to be a back mutation as a number of downstream markers were also tested.
L342 is unstable not Z93.

newtoboard
04-08-2015, 10:59 PM
About the same rarity as CTS4385 in Europe.
Very unlikely to be a back mutation as a number of downstream markers were also tested.
L342 is unstable not Z93.

That doesn't make any sense. M417* makes up 1% of South Indian y lineages in a sample of 97. CTS4385 makes up 1% of NW European lineages. That is from a larger sample size in one of the most tested regions in the world. We can be pretty confident that the sample size is large enough to represent the population. A Sample of 97 representing the entire South Indian y gene pool isn't.

parasar
04-08-2015, 11:20 PM
That doesn't make any sense. M417* makes up 1% of South Indian y lineages in a sample of 97. CTS4385 makes up 1% of NW European lineages. That is from a larger sample size in one of the most tested regions in the world. We can be pretty confident that the sample size is large enough to represent the population. A Sample of 97 representing the entire South Indian y gene pool isn't.

While yes more testing is needed in South Asia, general testing is not the same as sampling.
As I have mentioned a number of Sahariya R1a samples are quite unlike anything I have seen for Z93 http://www.plosone.org/article/fetchSingleRepresentation.action?uri=info:doi/10.1371/journal.pone.0032546.s003

Dr_McNinja
04-09-2015, 04:04 AM
I did the same thing with MDLP-World22:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=56

I made several averages to run in the 4-Ancestors Oracle (I removed Burusho/Kalash/etc from the list because they score so high in the Kalash component).

Haryana/East Punjab/North India

9.93 AtlMed
7.38 Meso Euro
40.43 NE Euro
0.52 Near East
21.61 kalash
11.48 samoyedic
0.97 e-siberian
7.68 n-amerindian

Least-squares method.

Using 1 population approximation:
1 Tatar @ 24.82012
2 Chuvash @ 24.862332
3 Komi @ 25.659984
4 Tatar_Kryashen @ 25.738862
5 Aleut @ 26.236686
6 Tartar_Mishar @ 27.840193
7 Mari @ 28.991872
8 Udmurd @ 29.788447
9 Mansi @ 30.058072
10 Tatar_Lithuania @ 31.043844
11 Mordovian @ 32.675505
12 German @ 33.057659
13 Russian_North @ 33.315531
14 Swedish_V @ 33.610585
15 Mordovian_V @ 33.707779
16 Colville @ 33.763012
17 Finnish @ 34.251165
18 Norwegian_V @ 34.261471
19 Bashkir @ 34.599725
20 Hungarian @ 34.842824
241 iterations.

Using 2 populations approximation:
1 Aleut+Udmurd @ 22.772713
2 Aleut+Mari @ 23.022711
3 Aleut+Chuvash @ 23.030966
4 Aleut+Mansi @ 23.099905
5 Mari+Norwegian_V @ 23.17804
6 Swedish_V+Udmurd @ 23.21704
7 Mari+Swedish_V @ 23.323543
8 Aleut+Komi @ 23.329972
9 Norwegian_V+Udmurd @ 23.421916
10 Aleut+Tatar @ 23.49913
11 Colville+Mari @ 23.79703
12 Mari+Welsh @ 23.948554
13 Mari+Swedish @ 24.088118
14 Swedish+Udmurd @ 24.089327
15 Mari+Orcadian @ 24.098877
16 Aleut+Tatar_Kryashen @ 24.203223
17 Colville+Udmurd @ 24.214092
18 Udmurd+Welsh @ 24.229255
19 German+Mari @ 24.253284
20 Bashkir+Swedish_V @ 24.262402
29161 iterations.

Using 3 populations approximation:
1 50% Mari +25% Swedish_V +25% Tsimsian @ 21.632159
2 50% Mari +25% Haida +25% Swedish_V @ 21.64211
3 50% Udmurd +25% Estonian +25% Haida @ 21.6572
4 50% Mari +25% Haida +25% Sorb @ 21.686186
5 50% Komi +25% Haida +25% Komi @ 21.688361
6 50% Udmurd +25% Haida +25% Latvian @ 21.715597
7 50% Mari +25% Sorb +25% Tsimsian @ 21.728197
8 50% Udmurd +25% Estonian +25% Tsimsian @ 21.730011
9 50% Udmurd +25% Haida +25% Sorb @ 21.750215
10 50% Komi +25% Chuvash +25% Haida @ 21.75744
11 50% Udmurd +25% Haida +25% Lithuanian_V @ 21.765414
12 50% Udmurd +25% Aleut +25% Norwegian_V @ 21.796883
13 50% Mari +25% Aleut +25% Norwegian_V @ 21.797849
14 50% Udmurd +25% Sorb +25% Tsimsian @ 21.798635
15 50% Chuvash +25% Haida +25% Swedish_V @ 21.799886
16 50% Udmurd +25% Haida +25% Polish @ 21.823227
17 50% Chuvash +25% Finnish +25% Haida @ 21.82835
18 50% Udmurd +25% Haida +25% Russian_Center @ 21.83059
19 50% Udmurd +25% Aleut +25% Swedish_V @ 21.833529
20 50% Udmurd +25% Haida +25% Russian @ 21.847012
6721027 iterations.

Using 4 populations approximation:
1 Haida+Komi+Mari+Swedish_V @ 21.281444
2 Haida+Komi+Swedish_V+Udmurd @ 21.286021
3 Chuvash+Haida+Mari+Swedish_V @ 21.457825
4 Haida+Komi+Mari+Norwegian_V @ 21.481444
5 Chuvash+Haida+Swedish_V+Udmurd @ 21.487663
6 Haida+Komi+Sorb+Udmurd @ 21.49236
7 Finnish+Haida+Komi+Udmurd @ 21.553708
8 Haida+Komi+Russian_V+Udmurd @ 21.579555
9 Haida+Komi+Norwegian_V+Udmurd @ 21.580723
10 Haida+Komi+Mansi+Swedish_V @ 21.581843
11 Chuvash+Haida+Sorb+Udmurd @ 21.589132
12 Haida+Komi+Russian_North+Udmurd @ 21.59714
13 Haida+Karelian+Komi+Udmurd @ 21.60345
14 Finnish+Haida+Komi+Mansi @ 21.606264
15 Finnish+Haida+Mordovian+Udmurd @ 21.607352
16 Haida+Komi+Mari+Sorb @ 21.612244
17 Chuvash+Estonian+Haida+Udmurd @ 21.624354
18 Haida+Karelian+Tatar_Kryashen+Udmurd @ 21.628975
19 Haida+Mordovian+Swedish_V+Udmurd @ 21.630046
20 Mari+Mari+Swedish_V+Tsimsian @ 21.632159
21 Haida+Komi+Mordovian+Udmurd @ 21.633498
22 Haida+Mari+Mari+Swedish_V @ 21.64211
23 Haida+Mari+Sorb+Udmurd @ 21.648811
24 Haida+Karelian+Komi+Mansi @ 21.651319
25 Estonian+Haida+Udmurd+Udmurd @ 21.6572
26 Finnish+Haida+Tatar_Kryashen+Udmurd @ 21.661202
27 Haida+Komi+Moldavian+Udmurd @ 21.664678
28 Haida+Russian_North+Swedish_V+Udmurd @ 21.666381
29 Chuvash+Finnish+Haida+Udmurd @ 21.6682
30 Chuvash+Finnish+Haida+Mansi @ 21.672584
31 Haida+Inkeri+Komi+Udmurd @ 21.677978
32 Finnish+Haida+Komi+Mari @ 21.67908
33 Chuvash+Haida+Mari+Sorb @ 21.68344
34 Haida+Komi+Russian_Center+Udmurd @ 21.683536
35 Chuvash+Haida+Russian_V+Udmurd @ 21.684
36 Haida+Mari+Mari+Sorb @ 21.686186
37 Haida+Karelian+Mordovian+Udmurd @ 21.687413
38 Chuvash+Haida+Karelian+Mansi @ 21.687495
39 Chuvash+Haida+Karelian+Udmurd @ 21.687675
40 Haida+Komi+Komi+Komi @ 21.688361
125577533 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tadjik @ 11.302249
2 Udmurd @ 13.123847
3 Lak @ 13.904306
4 Hakas @ 13.974341
5 Tatar @ 14.143537
6 Bashkir @ 14.209611
7 Mari @ 14.393424
8 Shor @ 14.552569
9 Tabassaran @ 15.229082
10 Uygur @ 15.247117
11 Lezgin @ 15.368001
12 Komi @ 15.454221
13 Kazakh @ 15.47729
14 Mordovian @ 15.529303
15 Hazara @ 15.686109
16 Turkmen @ 15.701783
17 Karakalpak @ 15.819239
18 Tatar_Kryashen @ 15.823049
19 Uzbek @ 15.842255
20 Altaic @ 16.192657
241 iterations.

Using 2 populations approximation:
1 Norwegian_V+Shor @ 10.066935
2 Orcadian+Shor @ 10.144563
3 Aleut+Tadjik @ 10.256177
4 Shor+Swedish_V @ 10.371086
5 Shor+Welsh @ 10.389532
6 Komi+Tadjik @ 10.396202
7 Mari+Tadjik @ 10.50592
8 Colville+Tadjik @ 10.52927
9 Tadjik+Tatar_Kryashen @ 10.57363
10 Mordovian+Tadjik @ 10.637772
11 Orcadian+Tadjik @ 10.654599
12 Tadjik+Udmurd @ 10.661309
13 Miwok+Udmurd @ 10.683246
14 Tadjik+Tatar @ 10.693328
15 British+Shor @ 10.699976
16 Russian_V+Tadjik @ 10.760229
17 Mordovian_V+Tadjik @ 10.784983
18 Swedish_V+Tadjik @ 10.808648
19 Norwegian_V+Tadjik @ 10.818463
20 Swedish+Tadjik @ 10.899291
29161 iterations.

Using 3 populations approximation:
1 50% Norwegian_V +25% Miwok +25% Udmurd @ 9.680236
2 50% Tadjik +25% Aleut +25% Norwegian_V @ 9.704769
3 50% Tadjik +25% Komi +25% Tsimsian @ 9.724091
4 50% Tadjik +25% Aleut +25% Udmurd @ 9.733142
5 50% Tadjik +25% Aleut +25% Swedish_V @ 9.73385
6 50% Tadjik +25% Aleut +25% Orcadian @ 9.739504
7 50% Tadjik +25% Tsimsian +25% Udmurd @ 9.743272
8 50% Orcadian +25% Miwok +25% Udmurd @ 9.751328
9 50% Tadjik +25% Aleut +25% Komi @ 9.754792
10 50% Tadjik +25% Komi +25% Miwok @ 9.768671
11 50% Norwegian_V +25% Tlingit +25% Udmurd @ 9.777536
12 50% Norwegian_V +25% Shor +25% Tadjik @ 9.802352
13 50% Tadjik +25% Colville +25% Udmurd @ 9.802823
14 50% Tadjik +25% Aleut +25% Welsh @ 9.805253
15 50% Orcadian +25% Shor +25% Tadjik @ 9.816818
16 50% Tadjik +25% Colville +25% Komi @ 9.821568
17 50% Tadjik +25% Miwok +25% Udmurd @ 9.843458
18 50% Tadjik +25% Haida +25% Komi @ 9.843483
19 50% Tadjik +25% Aleut +25% Mordovian @ 9.844936
20 50% Tadjik +25% Mordovian +25% Tsimsian @ 9.858149
6998640 iterations.

Using 4 populations approximation:
1 Miwok+Norwegian_V+Tadjik+Udmurd @ 9.444674
2 Miwok+Orcadian+Tadjik+Udmurd @ 9.479568
3 Norwegian_V+Tadjik+Tlingit+Udmurd @ 9.488328
4 Miwok+Swedish_V+Tadjik+Udmurd @ 9.500721
5 Haida+Norwegian_V+Tadjik+Udmurd @ 9.50561
6 Orcadian+Tadjik+Tlingit+Udmurd @ 9.529171
7 Norwegian_V+Tadjik+Tsimsian+Udmurd @ 9.542964
8 Haida+Orcadian+Tadjik+Udmurd @ 9.548367
9 Miwok+Tadjik+Udmurd+Welsh @ 9.565117
10 Swedish_V+Tadjik+Tlingit+Udmurd @ 9.577899
11 Orcadian+Tadjik+Tsimsian+Udmurd @ 9.582646
12 Haida+Swedish_V+Tadjik+Udmurd @ 9.599047
13 Tadjik+Tlingit+Udmurd+Welsh @ 9.613671
14 Mari+Miwok+Norwegian_V+Tadjik @ 9.627506
15 Haida+Tadjik+Udmurd+Welsh @ 9.634691
16 Mari+Miwok+Orcadian+Tadjik @ 9.662996
17 Aleut+Norwegian_V+Tadjik+Udmurd @ 9.664291
18 Swedish_V+Tadjik+Tsimsian+Udmurd @ 9.674579
19 Tadjik+Tsimsian+Udmurd+Welsh @ 9.67596
20 Miwok+Norwegian_V+Norwegian_V+Udmurd @ 9.680236
21 Aleut+Orcadian+Tadjik+Udmurd @ 9.681868
22 Komi+Miwok+Norwegian_V+Tadjik @ 9.685234
23 British+Miwok+Tadjik+Udmurd @ 9.689722
24 Mansi+Miwok+Norwegian_V+Tadjik @ 9.6941
25 Aleut+Norwegian_V+Tadjik+Tadjik @ 9.704769
26 Mari+Miwok+Swedish_V+Tadjik @ 9.707969
27 Miwok+Norwegian_V+Orcadian+Udmurd @ 9.714227
28 Athabask+Norwegian_V+Tadjik+Udmurd @ 9.714802
29 Mari+Norwegian_V+Tadjik+Tlingit @ 9.71492
30 Komi+Norwegian_V+Tadjik+Tlingit @ 9.718625
31 Komi+Miwok+Orcadian+Tadjik @ 9.723387
32 Komi+Tadjik+Tadjik+Tsimsian @ 9.724091
33 Aleut+Tadjik+Tadjik+Udmurd @ 9.733142
34 Aleut+Swedish_V+Tadjik+Tadjik @ 9.73385
35 Haida+Mari+Norwegian_V+Tadjik @ 9.738914
36 Aleut+Orcadian+Tadjik+Tadjik @ 9.739504
37 Tadjik+Tadjik+Tsimsian+Udmurd @ 9.743272
38 Mansi+Miwok+Orcadian+Tadjik @ 9.744763
39 Miwok+Orcadian+Orcadian+Udmurd @ 9.751328
40 Mari+Miwok+Tadjik+Welsh @ 9.753475
144084501 iterations.

Central/East Punjab (Jatt) and Northwest Indian Brahmin

5.75 AtlMed
7.63 Meso Euro
30.99 NE-Euro
4.36 near east
28.09 kalash
12.18 samoyedic
1.63 e-siberian
9.38 amerindian

Least-squares method.

Using 1 population approximation:
1 Tatar @ 33.221468
2 Chuvash @ 33.618816
3 Aleut @ 34.11694
4 Mari @ 34.371787
5 Udmurd @ 34.388788
6 Bashkir @ 35.755562
7 Tatar_Kryashen @ 35.968465
8 Mansi @ 36.069727
9 Komi @ 36.191926
10 Tatar_Lithuania @ 37.11377
11 Tartar_Mishar @ 37.895795
12 Colville @ 39.974317
13 Ste7 @ 42.671483
14 Miwok @ 42.81725
15 German @ 44.04235
16 Norwegian_V @ 44.351188
17 Mordovian @ 44.514902
18 Finnish @ 44.656378
19 Tsimsian @ 44.737902
20 Swedish_V @ 44.872153
241 iterations.

Using 2 populations approximation:
1 Aleut+Udmurd @ 30.066858
2 Mari+Miwok @ 30.198235
3 Aleut+Bashkir @ 30.355077
4 Mari+Tsimsian @ 30.464223
5 Tsimsian+Udmurd @ 30.623192
6 Aleut+Mari @ 30.631548
7 Miwok+Udmurd @ 30.737436
8 Komi+Ste7 @ 30.920699
9 Colville+Udmurd @ 31.031328
10 Colville+Mari @ 31.076466
11 Aleut+Mansi @ 31.147637
12 Chuvash+Miwok @ 31.259026
13 Chuvash+Tsimsian @ 31.329438
14 Mansi+Tsimsian @ 31.345814
15 Mansi+Miwok @ 31.397788
16 Haida+Mari @ 31.492629
17 Komi+Miwok @ 31.581739
18 Chuvash+Haida @ 31.585819
19 Haida+Udmurd @ 31.637434
20 Haida+Komi @ 31.679149
29161 iterations.

Using 3 populations approximation:
1 50% Udmurd +25% Finnish +25% Haida @ 28.499666
2 50% Udmurd +25% Haida +25% Swedish_V @ 28.523456
3 50% Udmurd +25% Haida +25% Norwegian_V @ 28.529408
4 50% Mari +25% Haida +25% Norwegian_V @ 28.549739
5 50% Udmurd +25% Finnish-South +25% Haida @ 28.557953
6 50% Udmurd +25% Haida +25% Tatar_Kryashen @ 28.563129
7 50% Udmurd +25% Haida +25% Karelian @ 28.620677
8 50% Udmurd +25% Norwegian_V +25% Tlingit @ 28.635082
9 50% Udmurd +25% Swedish_V +25% Tlingit @ 28.637986
10 50% Mari +25% Haida +25% Swedish_V @ 28.686384
11 50% Udmurd +25% Aleut +25% Haida @ 28.701827
12 50% Udmurd +25% Haida +25% Inkeri @ 28.703789
13 50% Chuvash +25% Haida +25% Udmurd @ 28.704735
14 50% Mari +25% Norwegian_V +25% Tlingit @ 28.714868
15 50% Udmurd +25% Haida +25% Tatar @ 28.740036
16 50% Mari +25% Haida +25% Tatar_Kryashen @ 28.742733
17 50% Komi +25% Haida +25% Ste7 @ 28.764116
18 50% Udmurd +25% Finnish-North +25% Haida @ 28.765316
19 50% Mari +25% Haida +25% Tatar @ 28.783784
20 50% Udmurd +25% Haida +25% Vepsa @ 28.792621
6998640 iterations.

Using 4 populations approximation:
1 Bashkir+Finnish+Haida+Udmurd @ 28.328024
2 Bashkir+Haida+Karelian+Udmurd @ 28.359856
3 Bashkir+Finnish-South+Haida+Udmurd @ 28.389166
4 Finnish+Haida+Shor+Udmurd @ 28.416944
5 Haida+Karelian+Ste7+Udmurd @ 28.430071
6 Haida+Karelian+Shor+Udmurd @ 28.434718
7 Bashkir+Haida+Udmurd+Vepsa @ 28.450773
8 Finnish+Haida+Ste7+Udmurd @ 28.459802
9 Haida+Komi+Ste7+Udmurd @ 28.481215
10 Haida+Mari+Norwegian_V+Udmurd @ 28.486789
11 Finnish+Haida+Udmurd+Udmurd @ 28.499666
12 Bashkir+Finnish+Haida+Mari @ 28.499835
13 Haida+Shor+Udmurd+Vepsa @ 28.507303
14 Bashkir+Haida+Inkeri+Udmurd @ 28.523025
15 Haida+Swedish_V+Udmurd+Udmurd @ 28.523456
16 Haida+Ste7+Udmurd+Vepsa @ 28.526834
17 Haida+Norwegian_V+Udmurd+Udmurd @ 28.529408
18 Finnish-South+Haida+Shor+Udmurd @ 28.54034
19 Komi+Ste7+Tsimsian+Udmurd @ 28.54046
20 Haida+Mari+Mari+Norwegian_V @ 28.549739
21 Haida+Mari+Swedish_V+Udmurd @ 28.552371
22 Bashkir+Finnish-South+Haida+Mari @ 28.554733
23 Finnish-South+Haida+Udmurd+Udmurd @ 28.557953
24 Bashkir+Haida+Karelian+Mari @ 28.562619
25 Haida+Tatar_Kryashen+Udmurd+Udmurd @ 28.563129
26 Haida+Inkeri+Shor+Udmurd @ 28.565423
27 Haida+Russian_North+Ste7+Udmurd @ 28.572748
28 Finnish-South+Haida+Ste7+Udmurd @ 28.590098
29 Bashkir+Finnish-North+Haida+Udmurd @ 28.594724
30 Haida+Mari+Tatar_Kryashen+Udmurd @ 28.600495
31 Haida+Karelian+Udmurd+Udmurd @ 28.620677
32 Mari+Norwegian_V+Tlingit+Udmurd @ 28.622466
33 Finnish+Haida+Mari+Udmurd @ 28.626846
34 Bashkir+Finnish-South+Haida+Mansi @ 28.628057
35 Haida+Inkeri+Ste7+Udmurd @ 28.628681
36 Norwegian_V+Tlingit+Udmurd+Udmurd @ 28.635082
37 Bashkir+Finnish+Haida+Mansi @ 28.6356
38 Swedish_V+Tlingit+Udmurd+Udmurd @ 28.637986
39 Haida+Komi+Mari+Ste7 @ 28.639405
40 Haida+Shor+Swedish_V+Udmurd @ 28.642995
144084501 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tadjik @ 12.435269
2 Lak @ 16.489781
3 Uygur @ 16.858076
4 Hazara @ 16.97278
5 Hakas @ 17.188783
6 Shor @ 17.500427
7 Turkmen @ 17.507653
8 Uzbek @ 18.202947
9 Bashkir @ 18.242712
10 Tabassaran @ 18.332006
11 Lezgin @ 18.336182
12 Kazakh @ 18.427486
13 Tatar @ 18.686734
14 Karakalpak @ 18.888144
15 Mari @ 18.930621
16 Udmurd @ 19.189968
17 Altaic @ 19.441183
18 Ste7 @ 19.467789
19 Chechen @ 20.14122
20 Nogai @ 20.528704
241 iterations.

Using 2 populations approximation:
1 Miwok+Tadjik @ 12.300569
2 Tadjik+Tadjik @ 12.435269
3 Aleut+Tadjik @ 12.449725
4 Colville+Tadjik @ 12.602521
5 Shor+Tadjik @ 12.645288
6 Mari+Tadjik @ 12.74224
7 Hakas+Tadjik @ 13.026911
8 Tadjik+Tatar_Kryashen @ 13.052143
9 Haida+Tadjik @ 13.081699
10 Tadjik+Udmurd @ 13.08978
11 Tadjik+Tatar @ 13.12829
12 Mexican+Tadjik @ 13.137337
13 Komi+Tadjik @ 13.14475
14 Tadjik+Tsimsian @ 13.274119
15 Chuvash+Tadjik @ 13.471624
16 Orcadian+Tadjik @ 13.500333
17 Mordovian_V+Tadjik @ 13.514152
18 Miwok+Udmurd @ 13.516663
19 Bashkir+Tadjik @ 13.521512
20 Tadjik+Tlingit @ 13.54648
29161 iterations.

Using 3 populations approximation:
1 50% Tadjik +25% Miwok +25% Udmurd @ 11.431229
2 50% Tadjik +25% Mari +25% Miwok @ 11.561153
3 50% Tadjik +25% Aleut +25% Tadjik @ 11.571058
4 50% Tadjik +25% Komi +25% Miwok @ 11.609303
5 50% Tadjik +25% Haida +25% Udmurd @ 11.658233
6 50% Tadjik +25% Chuvash +25% Miwok @ 11.679817
7 50% Tadjik +25% Mansi +25% Miwok @ 11.681227
8 50% Tadjik +25% Tlingit +25% Udmurd @ 11.702998
9 50% Tadjik +25% Miwok +25% Tadjik @ 11.71073
10 50% Tadjik +25% Tadjik +25% Tsimsian @ 11.725727
11 50% Tadjik +25% Haida +25% Tadjik @ 11.776506
12 50% Tadjik +25% Haida +25% Mari @ 11.778077
13 50% Tadjik +25% Chuvash +25% Tlingit @ 11.785806
14 50% Tadjik +25% Komi +25% Tlingit @ 11.792116
15 50% Tadjik +25% Tsimsian +25% Udmurd @ 11.796157
16 50% Tadjik +25% Mari +25% Tlingit @ 11.797772
17 50% Tadjik +25% Haida +25% Komi @ 11.801481
18 50% Tadjik +25% Chuvash +25% Haida @ 11.801957
19 50% Tadjik +25% Miwok +25% Norwegian_V @ 11.812266
20 50% Tadjik +25% Colville +25% Tadjik @ 11.815014
6998640 iterations.

Using 4 populations approximation:
1 Miwok+Tadjik+Tadjik+Udmurd @ 11.431229
2 Mari+Miwok+Tadjik+Tadjik @ 11.561153
3 Aleut+Tadjik+Tadjik+Tadjik @ 11.571058
4 Komi+Miwok+Tadjik+Tadjik @ 11.609303
5 Haida+Tadjik+Tadjik+Udmurd @ 11.658233
6 Chuvash+Miwok+Tadjik+Tadjik @ 11.679817
7 Mansi+Miwok+Tadjik+Tadjik @ 11.681227
8 Tadjik+Tadjik+Tlingit+Udmurd @ 11.702998
9 Miwok+Tadjik+Tadjik+Tadjik @ 11.71073
10 Tadjik+Tadjik+Tadjik+Tsimsian @ 11.725727
11 Haida+Tadjik+Tadjik+Tadjik @ 11.776506
12 Haida+Mari+Tadjik+Tadjik @ 11.778077
13 Chuvash+Tadjik+Tadjik+Tlingit @ 11.785806
14 Komi+Tadjik+Tadjik+Tlingit @ 11.792116
15 Tadjik+Tadjik+Tsimsian+Udmurd @ 11.796157
16 Mari+Tadjik+Tadjik+Tlingit @ 11.797772
17 Haida+Komi+Tadjik+Tadjik @ 11.801481
18 Chuvash+Haida+Tadjik+Tadjik @ 11.801957
19 Miwok+Norwegian_V+Tadjik+Tadjik @ 11.812266
20 Colville+Tadjik+Tadjik+Tadjik @ 11.815014
21 Aleut+Tadjik+Tadjik+Udmurd @ 11.815832
22 Mexican+Tadjik+Tadjik+Udmurd @ 11.831582
23 Miwok+Norwegian_V+Tadjik+Udmurd @ 11.832892
24 Miwok+Tadjik+Tadjik+Tatar @ 11.838388
25 Miwok+Tadjik+Tadjik+Tatar_Kryashen @ 11.852605
26 Miwok+Swedish_V+Tadjik+Tadjik @ 11.853698
27 Miwok+Mordovian+Tadjik+Tadjik @ 11.868592
28 Tadjik+Tadjik+Tadjik+Tlingit @ 11.873751
29 Miwok+Orcadian+Tadjik+Udmurd @ 11.87531
30 Miwok+Orcadian+Tadjik+Tadjik @ 11.883048
31 Colville+Tadjik+Tadjik+Udmurd @ 11.890074
32 Tadjik+Tadjik+Tatar_Kryashen+Tlingit @ 11.898694
33 Haida+Mansi+Tadjik+Tadjik @ 11.89973
34 Mari+Tadjik+Tadjik+Tsimsian @ 11.910383
35 Mansi+Tadjik+Tadjik+Tlingit @ 11.910629
36 Haida+Norwegian_V+Tadjik+Tadjik @ 11.91301
37 Norwegian_V+Tadjik+Tadjik+Tlingit @ 11.92127
38 Cochimi+Tadjik+Tadjik+Udmurd @ 11.923884
39 Haida+Tadjik+Tadjik+Tatar_Kryashen @ 11.936367
40 Bashkir+Miwok+Tadjik+Tadjik @ 11.938993
144084501 iterations.

West Punjab (Pahari), Sindh, etc (Pakistan area)

5.13 atlmed
7.31 meso euro
26.25 ne-euro
8.08 near east
31.03 kalash
12.22 samoyedic
1.68 e-siberian
8.32 amerindian

Least-squares method.

Using 1 population approximation:
1 Bashkir @ 37.676592
2 Tatar @ 37.693245
3 Udmurd @ 37.955627
4 Mari @ 38.308754
5 Chuvash @ 38.376389
6 Aleut @ 38.92023
7 Mansi @ 39.941474
8 Tatar_Lithuania @ 40.569611
9 Tatar_Kryashen @ 40.821712
10 Komi @ 41.522437
11 Ste7 @ 42.366921
12 Tartar_Mishar @ 42.910533
13 Colville @ 43.201517
14 Miwok @ 44.018141
15 Hakas @ 45.878534
16 Shor @ 46.150304
17 Tsimsian @ 47.208659
18 Mexican @ 47.416916
19 Uzbek @ 47.69369
20 Karakalpak @ 47.696089
241 iterations.

Using 2 populations approximation:
1 Mari+Miwok @ 33.27377
2 Ste7+Udmurd @ 33.48321
3 Miwok+Udmurd @ 33.555184
4 Komi+Ste7 @ 33.915609
5 Mari+Ste7 @ 33.973931
6 Mansi+Ste7 @ 34.018722
7 Chuvash+Ste7 @ 34.117361
8 Aleut+Bashkir @ 34.166836
9 Mari+Mexican @ 34.210717
10 Tsimsian+Udmurd @ 34.356792
11 Mari+Tsimsian @ 34.41988
12 Mansi+Miwok @ 34.425414
13 Mexican+Udmurd @ 34.503629
14 Chuvash+Miwok @ 34.648635
15 Haida+Udmurd @ 34.686403
16 Haida+Mari @ 34.757085
17 Aleut+Udmurd @ 34.762707
18 Ste7+Tatar @ 34.781566
19 Ste7+Tatar_Kryashen @ 34.944237
20 Colville+Udmurd @ 35.0168
29161 iterations.

Using 3 populations approximation:
1 50% Udmurd +25% Haida +25% Ste7 @ 31.775482
2 50% Udmurd +25% Ste7 +25% Tsimsian @ 31.839454
3 50% Udmurd +25% Miwok +25% Ste7 @ 32.044485
4 50% Mari +25% Haida +25% Ste7 @ 32.073147
5 50% Mari +25% Ste7 +25% Tsimsian @ 32.132097
6 50% Mari +25% Miwok +25% Ste7 @ 32.155824
7 50% Mansi +25% Haida +25% Ste7 @ 32.407787
8 50% Chuvash +25% Haida +25% Ste7 @ 32.41303
9 50% Mari +25% Haida +25% Yemen @ 32.436361
10 50% Mari +25% Egyptian +25% Haida @ 32.440518
11 50% Udmurd +25% Colville +25% Ste7 @ 32.447427
12 50% Udmurd +25% Mexican +25% Ste7 @ 32.475335
13 50% Mari +25% Bedouin +25% Haida @ 32.527448
14 50% Mari +25% Ashkenazim +25% Haida @ 32.565064
15 50% Mari +25% Mexican +25% Ste7 @ 32.575068
16 50% Mari +25% Haida +25% Saudi @ 32.579943
17 50% Udmurd +25% Aleut +25% Ste7 @ 32.596887
18 50% Udmurd +25% Haida +25% Tatar_Lithuania @ 32.599014
19 50% Mansi +25% Ste7 +25% Tsimsian @ 32.607955
20 50% Mari +25% Haida +25% Moroccan @ 32.616149
6998640 iterations.

Using 4 populations approximation:
1 Haida+Komi+Ste7+Udmurd @ 31.770721
2 Haida+Ste7+Udmurd+Udmurd @ 31.775482
3 Chuvash+Haida+Ste7+Udmurd @ 31.832398
4 Ste7+Tsimsian+Udmurd+Udmurd @ 31.839454
5 Haida+Mari+Ste7+Udmurd @ 31.877481
6 Mari+Ste7+Tsimsian+Udmurd @ 31.93902
7 Haida+Mansi+Ste7+Udmurd @ 32.014439
8 Haida+Ste7+Tatar_Kryashen+Udmurd @ 32.017527
9 Haida+Komi+Mari+Ste7 @ 32.022486
10 Finnish+Haida+Ste7+Udmurd @ 32.041222
11 Miwok+Ste7+Udmurd+Udmurd @ 32.044485
12 Mari+Miwok+Ste7+Udmurd @ 32.053281
13 Chuvash+Haida+Mari+Ste7 @ 32.066741
14 Haida+Mari+Mari+Ste7 @ 32.073147
15 Finnish-South+Haida+Ste7+Udmurd @ 32.073892
16 Chuvash+Ste7+Tsimsian+Udmurd @ 32.079985
17 Haida+Ste7+Tatar+Udmurd @ 32.109317
18 Haida+Karelian+Ste7+Udmurd @ 32.110687
19 Mari+Mari+Ste7+Tsimsian @ 32.132097
20 Komi+Ste7+Tsimsian+Udmurd @ 32.13957
21 Haida+Komi+Mansi+Ste7 @ 32.142084
22 Mansi+Ste7+Tsimsian+Udmurd @ 32.147568
23 Mari+Mari+Miwok+Ste7 @ 32.155824
24 Haida+Ste7+Swedish_V+Udmurd @ 32.170071
25 Chuvash+Haida+Mansi+Ste7 @ 32.170764
26 Haida+Mansi+Mari+Ste7 @ 32.181375
27 Finnish+Haida+Shor+Udmurd @ 32.18279
28 Haida+Norwegian_V+Ste7+Udmurd @ 32.190125
29 Finnish-South+Haida+Shor+Udmurd @ 32.209029
30 Finnish-North+Haida+Ste7+Udmurd @ 32.233125
31 Komi+Miwok+Ste7+Udmurd @ 32.234147
32 Chuvash+Miwok+Ste7+Udmurd @ 32.239252
33 Haida+Ste7+Udmurd+Vepsa @ 32.265478
34 Haida+Inkeri+Ste7+Udmurd @ 32.268424
35 Haida+Shor+Swedish_V+Udmurd @ 32.277616
36 Haida+Mari+Ste7+Tatar_Kryashen @ 32.283161
37 Finnish+Haida+Hant+Ste7 @ 32.288934
38 Haida+Karelian+Shor+Udmurd @ 32.293809
39 Chuvash+Mari+Ste7+Tsimsian @ 32.310329
40 Haida+Norwegian_V+Shor+Udmurd @ 32.310755
144084501 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tadjik @ 12.985717
2 Hazara @ 17.198894
3 Lak @ 17.248164
4 Turkmen @ 17.469563
5 Uygur @ 17.573167
6 Uzbek @ 18.14766
7 Tabassaran @ 18.580481
8 Lezgin @ 18.806848
9 Karakalpak @ 19.549097
10 Kazakh @ 19.599885
11 Bashkir @ 20.09924
12 Hakas @ 20.253871
13 Ste7 @ 20.258832
14 Tatar @ 20.319
15 Chechen @ 20.738848
16 Azeri @ 21.124056
17 Mari @ 21.196552
18 Kumyk @ 21.335389
19 Kyrgyz @ 21.681918
20 Nogai @ 21.694776
241 iterations.

Using 2 populations approximation:
1 Tadjik+Tadjik @ 12.985717
2 Miwok+Tadjik @ 13.046174
3 Mexican+Tadjik @ 13.76279
4 Colville+Tadjik @ 13.76422
5 Tadjik+Tatar_Kryashen @ 13.795341
6 Aleut+Tadjik @ 13.904013
7 Mari+Tadjik @ 13.95203
8 Shor+Tadjik @ 14.011914
9 Tadjik+Tatar @ 14.062227
10 Puerto-Rican+Tadjik @ 14.162475
11 Tadjik+Turkmen @ 14.224996
12 Tadjik+Uygur @ 14.244148
13 Chuvash+Tadjik @ 14.258469
14 Hakas+Tadjik @ 14.300973
15 Cochimi+Tadjik @ 14.334804
16 Ashkenazim+Tadjik @ 14.346042
17 Lak+Tadjik @ 14.395265
18 Komi+Tadjik @ 14.404232
19 Tadjik+Udmurd @ 14.435699
20 Russian_V+Tadjik @ 14.445814
29161 iterations.

Using 3 populations approximation:
1 50% Tadjik +25% Miwok +25% Tadjik @ 12.414613
2 50% Tadjik +25% Miwok +25% Udmurd @ 12.499803
3 50% Tadjik +25% Mexican +25% Tadjik @ 12.53302
4 50% Tadjik +25% Mari +25% Miwok @ 12.618418
5 50% Tadjik +25% Aleut +25% Tadjik @ 12.681483
6 50% Tadjik +25% Chuvash +25% Miwok @ 12.68166
7 50% Tadjik +25% Mexican +25% Udmurd @ 12.693358
8 50% Tadjik +25% Komi +25% Miwok @ 12.727467
9 50% Tadjik +25% Colville +25% Tadjik @ 12.738991
10 50% Tadjik +25% Mansi +25% Miwok @ 12.760415
11 50% Tadjik +25% Miwok +25% Tatar_Kryashen @ 12.779414
12 50% Tadjik +25% Cochimi +25% Tadjik @ 12.810906
13 50% Tadjik +25% Miwok +25% Tatar @ 12.830132
14 50% Tadjik +25% Miwok +25% Norwegian_V @ 12.861776
15 50% Tadjik +25% Miwok +25% Shor @ 12.867181
16 50% Tadjik +25% Serrano +25% Tadjik @ 12.882223
17 50% Tadjik +25% Bashkir +25% Miwok @ 12.887569
18 50% Tadjik +25% Mexican +25% Norwegian_V @ 12.889078
19 50% Tadjik +25% Mari +25% Mexican @ 12.891092
20 50% Tadjik +25% Haida +25% Tadjik @ 12.893545
6998640 iterations.

Using 4 populations approximation:
1 Miwok+Tadjik+Tadjik+Tadjik @ 12.414613
2 Miwok+Tadjik+Tadjik+Udmurd @ 12.499803
3 Mexican+Tadjik+Tadjik+Tadjik @ 12.53302
4 Mari+Miwok+Tadjik+Tadjik @ 12.618418
5 Makrani+Miwok+Tadjik+Udmurd @ 12.665269
6 Aleut+Tadjik+Tadjik+Tadjik @ 12.681483
7 Chuvash+Miwok+Tadjik+Tadjik @ 12.68166
8 Mexican+Tadjik+Tadjik+Udmurd @ 12.693358
9 Komi+Miwok+Tadjik+Tadjik @ 12.727467
10 Colville+Tadjik+Tadjik+Tadjik @ 12.738991
11 Mansi+Miwok+Tadjik+Tadjik @ 12.760415
12 Miwok+Tadjik+Tadjik+Tatar_Kryashen @ 12.779414
13 Cochimi+Tadjik+Tadjik+Tadjik @ 12.810906
14 Miwok+Tadjik+Tadjik+Tatar @ 12.830132
15 Makrani+Mari+Miwok+Tadjik @ 12.841528
16 Miwok+Norwegian_V+Tadjik+Tadjik @ 12.861776
17 Miwok+Shor+Tadjik+Tadjik @ 12.867181
18 Serrano+Tadjik+Tadjik+Tadjik @ 12.882223
19 Bashkir+Miwok+Tadjik+Tadjik @ 12.887569
20 Mexican+Norwegian_V+Tadjik+Tadjik @ 12.889078
21 Mari+Mexican+Tadjik+Tadjik @ 12.891092
22 Haida+Tadjik+Tadjik+Tadjik @ 12.893545
23 Tadjik+Tadjik+Tadjik+Tatar_Kryashen @ 12.908569
24 Miwok+Orcadian+Tadjik+Tadjik @ 12.924335
25 Aleut+Makrani+Tadjik+Tadjik @ 12.94481
26 Miwok+Swedish_V+Tadjik+Tadjik @ 12.947346
27 Ashkenazim+Tadjik+Tadjik+Tadjik @ 12.960439
28 Mexican+Orcadian+Tadjik+Tadjik @ 12.966693
29 Komi+Makrani+Miwok+Tadjik @ 12.970759
30 Makrani+Mansi+Miwok+Tadjik @ 12.972092
31 Puerto-Rican+Tadjik+Tadjik+Tadjik @ 12.973309
32 Komi+Mexican+Tadjik+Tadjik @ 12.979624
33 Tadjik+Tadjik+Tadjik+Tadjik @ 12.985717
34 Costanoan+Tadjik+Tadjik+Tadjik @ 12.989482
35 Miwok+Mordovian+Tadjik+Tadjik @ 12.994697
36 Cucupa+Tadjik+Tadjik+Tadjik @ 12.998738
37 Miwok+Tadjik+Tadjik+Welsh @ 13.002439
38 Chuvash+Makrani+Miwok+Tadjik @ 13.004722
39 Mexican+Swedish_V+Tadjik+Tadjik @ 13.005462
40 Chuvash+Mexican+Tadjik+Tadjik @ 13.005579
144084501 iterations.
The Ste7 individual was found in Funnelbeaker culture context in Gökheim, South Sweden and appears to represent the first farmers in Fennoscandia.

Afghanistan (Pashtun)

16.94 atlmed
6.98 meso euro
28.48 ne-euro
12.83 near east
19.55 kalash
7.39 samoyedic
1.24 e-siberian
6.59 amerindian

Least-squares method.

Using 1 population approximation:
1 Tatar @ 29.557293
2 Colville @ 29.93098
3 Aleut @ 30.612525
4 Tatar_Kryashen @ 31.326336
5 Tatar_Lithuania @ 31.944785
6 Ashkenazim_V @ 32.266211
7 Chuvash @ 32.405976
8 Puerto-Rican @ 32.896809
9 Bulgarian @ 33.058661
10 Macedonian @ 33.354384
11 Miwok @ 33.48328
12 Gagauz @ 33.569967
13 Romania @ 33.589461
14 Serbian @ 33.930157
15 Montenegrin @ 34.261371
16 Bashkir @ 34.496949
17 Swiss @ 34.642313
18 Norwegian_V @ 34.837531
19 Tartar_Mishar @ 34.910737
20 Komi @ 35.330196
241 iterations.

Using 2 populations approximation:
1 Ashkenazim+Komi @ 23.460413
2 Mari+Puerto-Rican @ 23.659857
3 Chuvash+Puerto-Rican @ 23.796746
4 Ashkenazim+Chuvash @ 23.800743
5 Ashkenazim+Mari @ 23.93546
6 Aleut+Ashkenazim @ 24.055109
7 Norwegian_V+Ste7 @ 24.060751
8 Chuvash+Miwok @ 24.103829
9 Mari+Portugese @ 24.229837
10 Puerto-Rican+Udmurd @ 24.236919
11 Ashkenazim_V+Mari @ 24.369315
12 Orcadian+Ste7 @ 24.40007
13 Chuvash+Mexican @ 24.401066
14 Costanoan+Komi @ 24.40495
15 Aleut+Ashkenazim_V @ 24.432605
16 Miwok+Tatar_Kryashen @ 24.460769
17 Aleut+Puerto-Rican @ 24.531666
18 Komi+Puerto-Rican @ 24.56909
19 Miwok+Tatar @ 24.590052
20 Puerto-Rican+Tatar @ 24.596042
29161 iterations.

Using 3 populations approximation:
1 50% Komi +25% Haida +25% Mozabite @ 20.961793
2 50% Swedish_V +25% Bedouin +25% Shor @ 20.984429
3 50% Chuvash +25% Mozabite +25% Tsimsian @ 21.007926
4 50% Komi +25% Mozabite +25% Tsimsian @ 21.063247
5 50% Swedish_V +25% Saudi +25% Shor @ 21.079761
6 50% Norwegian_V +25% Bedouin +25% Shor @ 21.096498
7 50% Norwegian_V +25% Mari +25% Saudi @ 21.124464
8 50% Norwegian_V +25% Saudi +25% Shor @ 21.126045
9 50% Norwegian_V +25% Bedouin +25% Mari @ 21.129051
10 50% Norwegian_V +25% Bedouin +25% Udmurd @ 21.193255
11 50% Norwegian_V +25% Saudi +25% Udmurd @ 21.206373
12 50% Chuvash +25% Haida +25% Mozabite @ 21.273649
13 50% Norwegian_V +25% Mansi +25% Saudi @ 21.281364
14 50% Swedish_V +25% Haida +25% Saudi @ 21.312039
15 50% Swedish_V +25% Jew_Yemen +25% Shor @ 21.335087
16 50% Komi +25% Miwok +25% Mozabite @ 21.337595
17 50% Chuvash +25% Moroccan +25% Tsimsian @ 21.355036
18 50% Aleut +25% Mozabite +25% Udmurd @ 21.361788
19 50% Komi +25% Moroccan +25% Tsimsian @ 21.370871
20 50% Norwegian_V +25% Bedouin +25% Mansi @ 21.371957
6696914 iterations.

Using 4 populations approximation:
1 Bedouin+Mansi+Swedish_V+Tsimsian @ 20.293882
2 Bedouin+Mari+Norwegian_V+Tsimsian @ 20.317455
3 Bedouin+Mansi+Norwegian_V+Tsimsian @ 20.318604
4 Mansi+Norwegian_V+Saudi+Tsimsian @ 20.346828
5 Mansi+Saudi+Swedish_V+Tsimsian @ 20.356095
6 Bedouin+Mari+Swedish_V+Tsimsian @ 20.360508
7 Mari+Norwegian_V+Saudi+Tsimsian @ 20.435679
8 Bedouin+Swedish_V+Tsimsian+Udmurd @ 20.456798
9 Bedouin+Haida+Mansi+Swedish_V @ 20.468654
10 Mari+Saudi+Swedish_V+Tsimsian @ 20.51218
11 Bedouin+Norwegian_V+Tsimsian+Udmurd @ 20.513644
12 Bedouin+Mari+Orcadian+Tsimsian @ 20.522949
13 Bedouin+Haida+Mansi+Norwegian_V @ 20.534893
14 Haida+Mansi+Saudi+Swedish_V @ 20.579361
15 Haida+Mari+Mozabite+Swedish_V @ 20.584011
16 Mari+Orcadian+Saudi+Tsimsian @ 20.588998
17 Haida+Mansi+Norwegian_V+Saudi @ 20.611766
18 Mansi+Orcadian+Saudi+Tsimsian @ 20.612777
19 Finnish+Mozabite+Tsimsian+Udmurd @ 20.612851
20 Haida+Mozabite+Swedish_V+Udmurd @ 20.623013
21 Saudi+Swedish_V+Tsimsian+Udmurd @ 20.62595
22 Bedouin+Haida+Komi+Norwegian_V @ 20.626697
23 Bedouin+Mansi+Orcadian+Tsimsian @ 20.635927
24 Bedouin+Haida+Mari+Norwegian_V @ 20.645817
25 Bedouin+Haida+Mari+Swedish_V @ 20.646769
26 Finnish+Haida+Mozabite+Udmurd @ 20.647042
27 Norwegian_V+Saudi+Tsimsian+Udmurd @ 20.648913
28 Jew_Yemen+Mansi+Swedish_V+Tsimsian @ 20.650076
29 Bedouin+Mari+Tsimsian+Welsh @ 20.654686
30 Karelian+Mozabite+Tsimsian+Udmurd @ 20.659383
31 Egyptian+Mari+Swedish_V+Tsimsian @ 20.692841
32 Haida+Karelian+Mozabite+Udmurd @ 20.699999
33 Finnish+Mari+Mozabite+Tsimsian @ 20.706403
34 Jew_Yemen+Mari+Swedish_V+Tsimsian @ 20.708596
35 Jew_Yemen+Mari+Norwegian_V+Tsimsian @ 20.726737
36 Bedouin+Mansi+Tsimsian+Welsh @ 20.728478
37 Aleut+Mozabite+Norwegian_V+Udmurd @ 20.733781
38 Jew_Yemen+Mansi+Norwegian_V+Tsimsian @ 20.734818
39 Egyptian+Haida+Mansi+Swedish_V @ 20.736031
40 Finnish+Haida+Mansi+Mozabite @ 20.737979
119617964 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tadjik @ 13.120639
2 Turkmen @ 14.149849
3 Lak @ 14.31733
4 Lezgin @ 14.713564
5 Uzbek @ 15.060346
6 Tabassaran @ 15.274269
7 Tatar @ 15.518174
8 Uygur @ 15.628104
9 Chechen @ 15.638833
10 Nogai @ 15.717526
11 Tatar_Kryashen @ 15.757601
12 Kumyk @ 15.844547
13 Karakalpak @ 15.937156
14 Mexican @ 16.426827
15 Hazara @ 16.437956
16 Azeri @ 16.498693
17 Kazakh @ 16.771413
18 Colville @ 16.966328
19 Slovakian @ 17.206881
20 Russian_V @ 17.316293
241 iterations.

Using 2 populations approximation:
1 Ashkenazim_V+Tadjik @ 10.659531
2 Puerto-Rican+Tadjik @ 10.735493
3 Miwok+Tadjik @ 10.850552
4 Mexican+Tadjik @ 10.863119
5 Ashkenazim+Tadjik @ 10.866077
6 Iberian+Tadjik @ 10.869198
7 Portugese+Tadjik @ 10.939904
8 Swiss+Tadjik @ 11.113625
9 Prov_al+Tadjik @ 11.15972
10 Serbian+Tadjik @ 11.179058
11 Costanoan+Tadjik @ 11.194765
12 Spaniard+Tadjik @ 11.213985
13 Italian-North+Tadjik @ 11.254307
14 Bulgarian+Tadjik @ 11.270395
15 Montenegrin+Tadjik @ 11.292798
16 Italian_North+Tadjik @ 11.302012
17 Bosnian+Tadjik @ 11.302337
18 Gagauz+Tadjik @ 11.307877
19 Macedonian+Tadjik @ 11.321733
20 Tadjik+Tatar_Kryashen @ 11.366374
29161 iterations.

Using 3 populations approximation:
1 50% Tadjik +25% Ashkenazim +25% Norwegian_V @ 9.961399
2 50% Tadjik +25% Ashkenazim +25% Swedish_V @ 9.976741
3 50% Tadjik +25% Ashkenazim +25% Orcadian @ 9.979529
4 50% Tadjik +25% Miwok +25% Portugese @ 10.0589
5 50% Tadjik +25% Costanoan +25% Norwegian_V @ 10.098828
6 50% Tadjik +25% Ashkenazim +25% Welsh @ 10.104276
7 50% Tadjik +25% Costanoan +25% Orcadian @ 10.122162
8 50% Tadjik +25% Ashkenazim_V +25% Miwok @ 10.134423
9 50% Tadjik +25% Costanoan +25% Swedish_V @ 10.136239
10 50% Tadjik +25% Ashkenazim +25% British @ 10.140344
11 50% Tadjik +25% Iberian +25% Miwok @ 10.140538
12 50% Tadjik +25% Ashkenazim +25% Swedish @ 10.165928
13 50% Tadjik +25% Ashkenazim +25% Komi @ 10.169844
14 50% Tadjik +25% Aleut +25% Sardinian @ 10.173119
15 50% Tadjik +25% Aleut +25% Ashkenazim @ 10.180698
16 50% Tadjik +25% Ashkenazim_V +25% Colville @ 10.183095
17 50% Tadjik +25% Aleut +25% Ashkenazim_V @ 10.204797
18 50% Tadjik +25% Ashkenazim +25% CEU @ 10.213081
19 50% Tadjik +25% Ashkenazim +25% Finnish @ 10.218627
20 50% Tadjik +25% Ashkenazim +25% Colville @ 10.220928
6998640 iterations.

Using 4 populations approximation:
1 Ashkenazim+Norwegian_V+Tadjik+Tadjik @ 9.961399
2 Ashkenazim+Swedish_V+Tadjik+Tadjik @ 9.976741
3 Ashkenazim+Orcadian+Tadjik+Tadjik @ 9.979529
4 Ashkenazim+Miwok+Tadjik+Udmurd @ 10.048483
5 Miwok+Portugese+Tadjik+Tadjik @ 10.0589
6 Ashkenazim+Norwegian_V+Shor+Tadjik @ 10.091359
7 Costanoan+Norwegian_V+Tadjik+Tadjik @ 10.098828
8 Ashkenazim+Tadjik+Tadjik+Welsh @ 10.104276
9 Miwok+Portugese+Tadjik+Udmurd @ 10.111267
10 Costanoan+Orcadian+Tadjik+Tadjik @ 10.122162
11 Ashkenazim_V+Miwok+Tadjik+Tadjik @ 10.134423
12 Costanoan+Swedish_V+Tadjik+Tadjik @ 10.136239
13 Ashkenazim+British+Tadjik+Tadjik @ 10.140344
14 Iberian+Miwok+Tadjik+Tadjik @ 10.140538
15 Ashkenazim+Miwok+Norwegian_V+Tadjik @ 10.141702
16 Ashkenazim_V+Miwok+Norwegian_V+Tadjik @ 10.142584
17 Ashkenazim+Orcadian+Shor+Tadjik @ 10.145932
18 Ashkenazim+Orcadian+Tadjik+Udmurd @ 10.145994
19 Ashkenazim+Komi+Miwok+Tadjik @ 10.150085
20 Ashkenazim+Swedish+Tadjik+Tadjik @ 10.165928
21 Ashkenazim+Shor+Swedish_V+Tadjik @ 10.168407
22 Kurd+Miwok+Norwegian_V+Udmurd @ 10.169165
23 Ashkenazim+Komi+Tadjik+Tadjik @ 10.169844
24 Aleut+Sardinian+Tadjik+Tadjik @ 10.173119
25 Ashkenazim+Norwegian_V+Tadjik+Udmurd @ 10.176795
26 Aleut+Ashkenazim+Tadjik+Tadjik @ 10.180698
27 Ashkenazim_V+Colville+Tadjik+Tadjik @ 10.183095
28 Ashkenazim_V+Miwok+Tadjik+Udmurd @ 10.185765
29 Miwok+Norwegian_V+Saudi+Tadjik @ 10.186135
30 Kurd+Miwok+Orcadian+Udmurd @ 10.191445
31 Ashkenazim+Mari+Orcadian+Tadjik @ 10.193907
32 Ashkenazim+Miwok+Swedish_V+Tadjik @ 10.196395
33 Iberian+Miwok+Tadjik+Udmurd @ 10.201378
34 Italian-South+Miwok+Tadjik+Udmurd @ 10.204381
35 Aleut+Ashkenazim_V+Tadjik+Tadjik @ 10.204797
36 Ashkenazim+Mari+Norwegian_V+Tadjik @ 10.212332
37 Ashkenazim+CEU+Tadjik+Tadjik @ 10.213081
38 Ashkenazim+Finnish+Tadjik+Tadjik @ 10.218627
39 Ashkenazim+Colville+Tadjik+Tadjik @ 10.220928
40 Ashkenazim_V+Miwok+Orcadian+Tadjik @ 10.224128
144084501 iterations.

South Indian Brahmin

12.23 meso euro
30.40 ne-euro
3.52 near east
39.50 kalash
10.21 samoyedic
4.13 amerindian

Least-squares method.

Using 1 population approximation:
1 Udmurd @ 44.097311
2 Chuvash @ 44.158068
3 Tatar @ 44.278232
4 Mari @ 44.287451
5 Aleut @ 45.508602
6 Bashkir @ 45.974161
7 Komi @ 45.989294
8 Mansi @ 46.67207
9 Tatar_Kryashen @ 46.719688
10 Tatar_Lithuania @ 47.475857
11 Tartar_Mishar @ 47.841489
12 Ste7 @ 50.549604
13 Colville @ 51.347136
14 Finnish @ 51.550267
15 Finnish-South @ 51.908607
16 Karelian @ 52.285808
17 Inkeri @ 52.863267
18 Finnish-North @ 53.068498
19 Russian_North @ 53.237006
20 Mordovian @ 53.280353
241 iterations.

Using 2 populations approximation:
1 Komi+Ste7 @ 41.543626
2 Aleut+Udmurd @ 41.695823
3 Finnish-South+Shor @ 41.861844
4 Ste7+Udmurd @ 41.87183
5 Finnish+Shor @ 41.915821
6 Karelian+Shor @ 42.036625
7 Finnish-South+Ste7 @ 42.077807
8 Karelian+Ste7 @ 42.104371
9 Finnish+Ste7 @ 42.112276
10 Finnish-North+Shor @ 42.134798
11 Bashkir+Finnish-South @ 42.192416
12 Bashkir+Finnish-North @ 42.199228
13 Mari+Ste7 @ 42.205331
14 Shor+Vepsa @ 42.211378
15 Aleut+Mari @ 42.211428
16 Chuvash+Ste7 @ 42.222523
17 Inkeri+Shor @ 42.324471
18 Finnish-North+Ste7 @ 42.325118
19 Aleut+Bashkir @ 42.338469
20 Ste7+Vepsa @ 42.343989
29161 iterations.

Using 3 populations approximation:
1 50% Udmurd +25% Finnish-North +25% Ste7 @ 39.840539
2 50% Udmurd +25% Finnish-South +25% Ste7 @ 39.957933
3 50% Udmurd +25% Finnish +25% Ste7 @ 40.145515
4 50% Udmurd +25% Karelian +25% Ste7 @ 40.234603
5 50% Udmurd +25% Ste7 +25% Vepsa @ 40.311745
6 50% Udmurd +25% Inkeri +25% Ste7 @ 40.347938
7 50% Mari +25% Finnish-North +25% Ste7 @ 40.367843
8 50% Udmurd +25% Finnish-North +25% Haida @ 40.489
9 50% Mari +25% Finnish-South +25% Ste7 @ 40.491983
10 50% Udmurd +25% Aleut +25% Ste7 @ 40.542168
11 50% Ste7 +25% Finnish-North +25% Udmurd @ 40.550504
12 50% Udmurd +25% Finnish-North +25% Miwok @ 40.598557
13 50% Ste7 +25% Finnish-South +25% Udmurd @ 40.605539
14 50% Udmurd +25% Ste7 +25% Swedish_V @ 40.653417
15 50% Mari +25% Finnish-North +25% Tadjik @ 40.658945
16 50% Udmurd +25% Finnish-South +25% Haida @ 40.672016
17 50% Udmurd +25% Norwegian_V +25% Ste7 @ 40.672777
18 50% Mari +25% Finnish +25% Ste7 @ 40.685351
19 50% Ste7 +25% Karelian +25% Udmurd @ 40.72205
20 50% Udmurd +25% Finnish-North +25% Hazara @ 40.735101
6998640 iterations.

Using 4 populations approximation:
1 Finnish-North+Ste7+Udmurd+Udmurd @ 39.840539
2 Finnish-North+Mari+Ste7+Tadjik @ 39.929571
3 Finnish-North+Ste7+Tadjik+Udmurd @ 39.936583
4 Finnish-North+Mansi+Ste7+Tadjik @ 39.947827
5 Finnish-South+Ste7+Udmurd+Udmurd @ 39.957933
6 Finnish-South+Mari+Ste7+Tadjik @ 40.012276
7 Finnish-South+Ste7+Tadjik+Udmurd @ 40.015086
8 Finnish-North+Mari+Ste7+Udmurd @ 40.067511
9 Finnish-South+Mansi+Ste7+Tadjik @ 40.092512
10 Ste7+Tadjik+Udmurd+Vepsa @ 40.141722
11 Finnish+Ste7+Udmurd+Udmurd @ 40.145515
12 Karelian+Ste7+Tadjik+Udmurd @ 40.151073
13 Karelian+Mari+Ste7+Tadjik @ 40.174588
14 Finnish+Ste7+Tadjik+Udmurd @ 40.176074
15 Finnish+Mari+Ste7+Tadjik @ 40.177451
16 Mari+Ste7+Tadjik+Vepsa @ 40.187301
17 Finnish-South+Mari+Ste7+Udmurd @ 40.188411
18 Aleut+Finnish-North+Ste7+Udmurd @ 40.222777
19 Chuvash+Finnish-North+Ste7+Udmurd @ 40.231161
20 Karelian+Ste7+Udmurd+Udmurd @ 40.234603
21 Bashkir+Finnish-North+Ste7+Udmurd @ 40.248477
22 Mansi+Ste7+Tadjik+Vepsa @ 40.256048
23 Karelian+Mansi+Ste7+Tadjik @ 40.274221
24 Finnish-North+Ste7+Tatar+Udmurd @ 40.286197
25 Finnish-North+Mansi+Ste7+Udmurd @ 40.299094
26 Finnish+Mansi+Ste7+Tadjik @ 40.3016
27 Ste7+Udmurd+Udmurd+Vepsa @ 40.311745
28 Finnish-North+Miwok+Ste7+Udmurd @ 40.314423
29 Finnish-North+Komi+Ste7+Tadjik @ 40.321403
30 Inkeri+Ste7+Udmurd+Udmurd @ 40.347938
31 Finnish-North+Miwok+Shor+Udmurd @ 40.354177
32 Bashkir+Finnish-South+Ste7+Udmurd @ 40.366831
33 Finnish-North+Mari+Mari+Ste7 @ 40.367843
34 Finnish-North+Komi+Ste7+Udmurd @ 40.371983
35 Finnish+Mari+Ste7+Udmurd @ 40.379077
36 Chuvash+Finnish-North+Ste7+Tadjik @ 40.404752
37 Inkeri+Ste7+Tadjik+Udmurd @ 40.415324
38 Aleut+Finnish-South+Ste7+Udmurd @ 40.41821
39 Inkeri+Mari+Ste7+Tadjik @ 40.420802
40 Chuvash+Finnish-South+Ste7+Udmurd @ 40.432404
144084501 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tadjik @ 11.937146
2 Tabassaran @ 16.018182
3 Lak @ 16.101082
4 Hazara @ 16.375785
5 Uzbek @ 16.872405
6 Turkmen @ 17.126026
7 Shor @ 17.292203
8 Lezgin @ 17.600009
9 Uygur @ 18.066242
10 Udmurd @ 18.110647
11 Hakas @ 18.763106
12 Karakalpak @ 18.961221
13 Bashkir @ 18.972929
14 Makrani @ 19.080843
15 Norwegian_V @ 19.369161
16 Kazakh @ 19.437879
17 Orcadian @ 19.485861
18 Avar @ 19.805344
19 Chechen @ 20.023618
20 Swedish_V @ 20.12313
241 iterations.

Using 2 populations approximation:
1 Tadjik+Tadjik @ 11.937146
2 Norwegian_V+Tadjik @ 12.476176
3 Orcadian+Tadjik @ 12.601793
4 Swedish_V+Tadjik @ 12.756976
5 Tadjik+Udmurd @ 12.77913
6 Tadjik+Welsh @ 12.834353
7 British+Tadjik @ 13.035945
8 Mari+Tadjik @ 13.132566
9 CEU+Tadjik @ 13.215649
10 Komi+Tadjik @ 13.252487
11 Shor+Tadjik @ 13.278261
12 Tadjik+Tatar @ 13.33478
13 Chuvash+Tadjik @ 13.346534
14 Miwok+Tadjik @ 13.367096
15 Tabassaran+Tadjik @ 13.422344
16 Bashkir+Tadjik @ 13.451416
17 Swedish+Tadjik @ 13.463242
18 Lak+Tadjik @ 13.467663
19 Mordovian+Tadjik @ 13.476722
20 Makrani+Tadjik @ 13.50056
29161 iterations.

Using 3 populations approximation:
1 50% Tadjik +25% Norwegian_V +25% Tadjik @ 11.866711
2 50% Tadjik +25% Swedish_V +25% Tadjik @ 11.932449
3 50% Tadjik +25% Orcadian +25% Tadjik @ 11.967706
4 50% Tadjik +25% Tadjik +25% Udmurd @ 12.007138
5 50% Tadjik +25% Tadjik +25% Welsh @ 12.071637
6 50% Tadjik +25% Finnish +25% Tadjik @ 12.081478
7 50% Tadjik +25% Finnish-South +25% Tadjik @ 12.082886
8 50% Tadjik +25% Mari +25% Tadjik @ 12.09703
9 50% Tadjik +25% Komi +25% Tadjik @ 12.107196
10 50% Tadjik +25% Karelian +25% Tadjik @ 12.11533
11 50% Tadjik +25% Finnish-North +25% Tadjik @ 12.12338
12 50% Tadjik +25% British +25% Tadjik @ 12.149822
13 50% Tadjik +25% Tadjik +25% Vepsa @ 12.19209
14 50% Tadjik +25% Inkeri +25% Tadjik @ 12.192872
15 50% Tadjik +25% Chuvash +25% Tadjik @ 12.209843
16 50% Tadjik +25% CEU +25% Tadjik @ 12.212714
17 50% Tadjik +25% Swedish +25% Tadjik @ 12.230104
18 50% Tadjik +25% Russian_North +25% Tadjik @ 12.251297
19 50% Tadjik +25% Mordovian +25% Tadjik @ 12.266469
20 50% Tadjik +25% Mansi +25% Tadjik @ 12.281405
6998640 iterations.

Using 4 populations approximation:
1 Norwegian_V+Tadjik+Tadjik+Tadjik @ 11.866711
2 Swedish_V+Tadjik+Tadjik+Tadjik @ 11.932449
3 Tadjik+Tadjik+Tadjik+Tadjik @ 11.937146
4 Orcadian+Tadjik+Tadjik+Tadjik @ 11.967706
5 Tadjik+Tadjik+Tadjik+Udmurd @ 12.007138
6 Tadjik+Tadjik+Tadjik+Welsh @ 12.071637
7 Finnish+Tadjik+Tadjik+Tadjik @ 12.081478
8 Finnish-South+Tadjik+Tadjik+Tadjik @ 12.082886
9 Mari+Tadjik+Tadjik+Tadjik @ 12.09703
10 Komi+Tadjik+Tadjik+Tadjik @ 12.107196
11 Karelian+Tadjik+Tadjik+Tadjik @ 12.11533
12 Finnish-North+Tadjik+Tadjik+Tadjik @ 12.12338
13 British+Tadjik+Tadjik+Tadjik @ 12.149822
14 Tadjik+Tadjik+Tadjik+Vepsa @ 12.19209
15 Inkeri+Tadjik+Tadjik+Tadjik @ 12.192872
16 Chuvash+Tadjik+Tadjik+Tadjik @ 12.209843
17 CEU+Tadjik+Tadjik+Tadjik @ 12.212714
18 Swedish+Tadjik+Tadjik+Tadjik @ 12.230104
19 Russian_North+Tadjik+Tadjik+Tadjik @ 12.251297
20 Mordovian+Tadjik+Tadjik+Tadjik @ 12.266469
21 Mansi+Tadjik+Tadjik+Tadjik @ 12.281405
22 Tadjik+Tadjik+Tadjik+Tatar_Kryashen @ 12.287783
23 Tadjik+Tadjik+Tadjik+Tatar @ 12.296153
24 Russian_V+Tadjik+Tadjik+Tadjik @ 12.297402
25 Estonian+Tadjik+Tadjik+Tadjik @ 12.303754
26 CEU_V+Tadjik+Tadjik+Tadjik @ 12.306387
27 German-North+Tadjik+Tadjik+Tadjik @ 12.307179
28 Sorb+Tadjik+Tadjik+Tadjik @ 12.349476
29 Russian_Center+Tadjik+Tadjik+Tadjik @ 12.363121
30 Moldavian+Tadjik+Tadjik+Tadjik @ 12.372914
31 French+Tadjik+Tadjik+Tadjik @ 12.377053
32 Latvian+Tadjik+Tadjik+Tadjik @ 12.383458
33 German_V+Tadjik+Tadjik+Tadjik @ 12.383468
34 Slovakian+Tadjik+Tadjik+Tadjik @ 12.392255
35 German+Tadjik+Tadjik+Tadjik @ 12.397545
36 Tadjik+Tadjik+Tadjik+Tartar_Mishar @ 12.416568
37 Austrian+Tadjik+Tadjik+Tadjik @ 12.419632
38 Shor+Tadjik+Tadjik+Tadjik @ 12.422537
39 Aleut+Tadjik+Tadjik+Tadjik @ 12.427731
40 Bashkir+Tadjik+Tadjik+Tadjik @ 12.436959
144084501 iterations.

Dr_McNinja
04-09-2015, 04:22 AM
Iranian Baloch

20.42 atlmed
14.25 ne-euro
35.71 near east
21.61 kalash
8.02 samoyedic

Least-squares method.

Using 1 population approximation:
1 Ashkenazim @ 34.986556
2 Jew_Morocco @ 36.104737
3 Jew_Libya @ 36.575513
4 Jew_Tunisia @ 36.963181
5 Jew_Italia @ 37.365197
6 Costanoan @ 37.470199
7 Ashkenazim_V @ 37.527503
8 Jew_Fre @ 37.552498
9 Egyptian @ 37.663173
10 Jew_Romania @ 37.780674
11 Mozabite @ 37.875915
12 Jew_Algeria @ 38.219634
13 Sephardim @ 38.281536
14 Sicilian @ 39.53229
15 Moroccan @ 40.050313
16 Palestinian @ 40.390246
17 Greek_South @ 40.568459
18 Jordanian @ 40.630031
19 Italian-South @ 40.674587
20 Bedouin @ 41.203948
241 iterations.

Using 2 populations approximation:
1 Portugese+Saudi @ 26.877828
2 Iberian+Saudi @ 26.950943
3 Saudi+Spaniard @ 27.162169
4 Orcadian+Saudi @ 27.28513
5 Bedouin+Portugese @ 27.322143
6 Bedouin+Iberian @ 27.508791
7 Colville+Jew_Yemen @ 27.509827
8 Norwegian_V+Saudi @ 27.531452
9 French+Saudi @ 27.535463
10 Colville+Saudi @ 27.566864
11 Bedouin+Colville @ 27.617846
12 Bedouin+Orcadian @ 27.728891
13 Bedouin+Spaniard @ 27.741874
14 Jew_Yemen+Norwegian_V @ 27.747297
15 Jew_Yemen+Orcadian @ 27.776386
16 Bedouin+Norwegian_V @ 27.820558
17 British+Saudi @ 27.887085
18 Saudi+Welsh @ 27.888452
19 Bedouin+French @ 27.922385
20 Puerto-Rican+Saudi @ 27.924516
29161 iterations.

Using 3 populations approximation:
1 50% Saudi +25% Mansi +25% Otzi @ 24.395761
2 50% Saudi +25% Mansi +25% Sardinian @ 24.495257
3 50% Bedouin +25% Mansi +25% Otzi @ 24.495696
4 50% Bedouin +25% Mari +25% Otzi @ 24.672962
5 50% Saudi +25% Mari +25% Sardinian @ 24.701657
6 50% Saudi +25% Mari +25% Otzi @ 24.722655
7 50% Bedouin +25% Mansi +25% Sardinian @ 24.826304
8 50% Saudi +25% Komi +25% Otzi @ 24.878468
9 50% Bedouin +25% Mari +25% Sardinian @ 24.882907
10 50% Saudi +25% Basque +25% Mansi @ 24.895544
11 50% Bedouin +25% Komi +25% Otzi @ 24.912073
12 50% Bedouin +25% Otzi +25% Udmurd @ 24.920012
13 50% Saudi +25% Sardinian +25% Udmurd @ 24.979251
14 50% Bedouin +25% Chuvash +25% Otzi @ 24.985348
15 50% Saudi +25% Otzi +25% Udmurd @ 24.999232
16 50% Saudi +25% Chuvash +25% Otzi @ 25.007607
17 50% Saudi +25% Iberian +25% Mansi @ 25.020879
18 50% Jew_Yemen +25% Mansi +25% Otzi @ 25.036015
19 50% Bedouin +25% Iberian +25% Mansi @ 25.058291
20 50% Jew_Yemen +25% Iberian +25% Mansi @ 25.103443
6998640 iterations.

Using 4 populations approximation:
1 Bedouin+Mansi+Otzi+Saudi @ 24.369778
2 Mansi+Otzi+Saudi+Saudi @ 24.395761
3 Mansi+Sardinian+Saudi+Saudi @ 24.495257
4 Bedouin+Bedouin+Mansi+Otzi @ 24.495696
5 Bedouin+Mansi+Sardinian+Saudi @ 24.586001
6 Bedouin+Jew_Yemen+Mansi+Otzi @ 24.602769
7 Bedouin+Mari+Otzi+Saudi @ 24.622597
8 Jew_Yemen+Mansi+Otzi+Saudi @ 24.646248
9 Bedouin+Bedouin+Mari+Otzi @ 24.672962
10 Mari+Sardinian+Saudi+Saudi @ 24.701657
11 Bedouin+Mari+Sardinian+Saudi @ 24.717512
12 Mari+Otzi+Saudi+Saudi @ 24.722655
13 Bedouin+Jew_Yemen+Mari+Otzi @ 24.77345
14 Mari+Mozabite+Otzi+Saudi @ 24.818163
15 Bedouin+Komi+Otzi+Saudi @ 24.820652
16 Jew_Yemen+Mansi+Sardinian+Saudi @ 24.821296
17 Bedouin+Bedouin+Mansi+Sardinian @ 24.826304
18 Komi+Otzi+Saudi+Saudi @ 24.878468
19 Bedouin+Bedouin+Mari+Sardinian @ 24.882907
20 Bedouin+Otzi+Saudi+Udmurd @ 24.885221
21 Jew_Yemen+Mari+Otzi+Saudi @ 24.890468
22 Bedouin+Jew_Yemen+Mansi+Sardinian @ 24.8933
23 Basque+Mansi+Saudi+Saudi @ 24.895544
24 Bedouin+Bedouin+Komi+Otzi @ 24.912073
25 Bedouin+Iberian+Jew_Yemen+Mansi @ 24.918388
26 Bedouin+Bedouin+Otzi+Udmurd @ 24.920012
27 Bedouin+Chuvash+Otzi+Saudi @ 24.922158
28 Bedouin+Jew_Yemen+Mari+Sardinian @ 24.943971
29 Jew_Yemen+Mari+Sardinian+Saudi @ 24.945788
30 Bedouin+Iberian+Mansi+Saudi @ 24.965398
31 Sardinian+Saudi+Saudi+Udmurd @ 24.979251
32 Bedouin+Sardinian+Saudi+Udmurd @ 24.979922
33 Bedouin+Jew_Yemen+Mansi+Portugese @ 24.980399
34 Bedouin+Bedouin+Chuvash+Otzi @ 24.985348
35 Iberian+Jew_Yemen+Mansi+Saudi @ 24.99147
36 Basque+Jew_Yemen+Mansi+Saudi @ 24.995662
37 Basque+Bedouin+Mansi+Saudi @ 24.997915
38 Otzi+Saudi+Saudi+Udmurd @ 24.999232
39 Chuvash+Otzi+Saudi+Saudi @ 25.007607
40 Iberian+Mansi+Saudi+Saudi @ 25.020879
144084501 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Turkmen @ 11.878084
2 Azeri @ 11.959013
3 Iranian @ 12.279278
4 Kumyk @ 13.724303
5 Kurd @ 13.768265
6 Turk @ 13.972992
7 Iraqi @ 14.323611
8 Mexican @ 14.596496
9 Prov_al @ 14.663258
10 Uzbek @ 14.775483
11 Portugese @ 14.864635
12 Chechen @ 14.886757
13 Lezgin @ 14.888965
14 Tatar_Crim @ 15.423427
15 Nogai @ 15.928374
16 Ashkenazim_V @ 16.031796
17 Spaniard @ 16.323272
18 Iberian @ 16.389529
19 Jew-Uzbekistan @ 16.414705
20 Puerto-Rican @ 16.54485
241 iterations.

Using 2 populations approximation:
1 Mozabite+Tadjik @ 9.190551
2 Moroccan+Tadjik @ 9.253851
3 Jew_Yemen+Tadjik @ 9.372207
4 Samaritian+Tadjik @ 9.401578
5 Egyptian+Tadjik @ 9.506347
6 Saudi+Tadjik @ 9.529937
7 Bedouin+Tadjik @ 9.530115
8 Sephardim+Tadjik @ 9.579775
9 Jew_Libya+Tadjik @ 9.5857
10 Jew_Morocco+Tadjik @ 9.604992
11 Jew_Tunisia+Tadjik @ 9.612239
12 Jew_Syria+Tadjik @ 9.61679
13 Palestinian+Tadjik @ 9.620444
14 Jew_Italia+Tadjik @ 9.637893
15 Lebanese+Tadjik @ 9.647066
16 Jew_Algeria+Tadjik @ 9.661363
17 Jew_Fre+Tadjik @ 9.741927
18 Otzi+Tadjik @ 9.743485
19 Ashkenazim+Tadjik @ 9.743567
20 Jordanian+Tadjik @ 9.798659
29161 iterations.

Using 3 populations approximation:
1 50% Tadjik +25% Sardinian +25% Saudi @ 8.9754
2 50% Tadjik +25% Portugese +25% Saudi @ 8.984315
3 50% Tadjik +25% Iberian +25% Saudi @ 9.001511
4 50% Tadjik +25% Jew_Yemen +25% Portugese @ 9.008371
5 50% Tadjik +25% Jew_Yemen +25% Orcadian @ 9.012588
6 50% Tadjik +25% Iberian +25% Jew_Yemen @ 9.027369
7 50% Tadjik +25% Jew_Yemen +25% Sardinian @ 9.0362
8 50% Tadjik +25% Orcadian +25% Saudi @ 9.053903
9 50% Tadjik +25% Jew_Yemen +25% Norwegian_V @ 9.066059
10 50% Tadjik +25% Otzi +25% Saudi @ 9.071961
11 50% Tadjik +25% Jew_Yemen +25% Welsh @ 9.079983
12 50% Tadjik +25% Mozabite +25% Saudi @ 9.0816
13 50% Tadjik +25% Saudi +25% Spaniard @ 9.086116
14 50% Tadjik +25% Jew_Yemen +25% Spaniard @ 9.103922
15 50% Tadjik +25% Basque +25% Saudi @ 9.112296
16 50% Tadjik +25% Italian-North +25% Saudi @ 9.116812
17 50% Tadjik +25% Prov_al +25% Saudi @ 9.117461
18 50% Tadjik +25% Norwegian_V +25% Saudi @ 9.119341
19 50% Tadjik +25% Saudi +25% Welsh @ 9.122908
20 50% Tadjik +25% British +25% Jew_Yemen @ 9.123992
6998640 iterations.

Using 4 populations approximation:
1 Sardinian+Saudi+Tadjik+Tadjik @ 8.9754
2 Portugese+Saudi+Tadjik+Tadjik @ 8.984315
3 Iberian+Saudi+Tadjik+Tadjik @ 9.001511
4 Jew_Yemen+Portugese+Tadjik+Tadjik @ 9.008371
5 Jew_Yemen+Orcadian+Tadjik+Tadjik @ 9.012588
6 Iberian+Jew_Yemen+Tadjik+Tadjik @ 9.027369
7 Jew_Yemen+Sardinian+Tadjik+Tadjik @ 9.0362
8 Orcadian+Saudi+Tadjik+Tadjik @ 9.053903
9 Jew_Yemen+Norwegian_V+Tadjik+Tadjik @ 9.066059
10 Otzi+Saudi+Tadjik+Tadjik @ 9.071961
11 Jew_Yemen+Tadjik+Tadjik+Welsh @ 9.079983
12 Mozabite+Saudi+Tadjik+Tadjik @ 9.0816
13 Saudi+Spaniard+Tadjik+Tadjik @ 9.086116
14 Jew_Yemen+Spaniard+Tadjik+Tadjik @ 9.103922
15 Basque+Saudi+Tadjik+Tadjik @ 9.112296
16 Italian-North+Saudi+Tadjik+Tadjik @ 9.116812
17 Prov_al+Saudi+Tadjik+Tadjik @ 9.117461
18 Norwegian_V+Saudi+Tadjik+Tadjik @ 9.119341
19 Saudi+Tadjik+Tadjik+Welsh @ 9.122908
20 British+Jew_Yemen+Tadjik+Tadjik @ 9.123992
21 Bedouin+Portugese+Tadjik+Tadjik @ 9.12413
22 French+Jew_Yemen+Tadjik+Tadjik @ 9.124204
23 Jew_Yemen+Prov_al+Tadjik+Tadjik @ 9.124234
24 Italian-North+Jew_Yemen+Tadjik+Tadjik @ 9.129155
25 Italian-South+Saudi+Tadjik+Tadjik @ 9.130943
26 Basque+Jew_Yemen+Tadjik+Tadjik @ 9.133234
27 French+Saudi+Tadjik+Tadjik @ 9.136517
28 Jew_Yemen+Otzi+Tadjik+Tadjik @ 9.136588
29 Moroccan+Saudi+Tadjik+Tadjik @ 9.140755
30 Italian-South+Jew_Yemen+Tadjik+Tadjik @ 9.143206
31 Corsican+Saudi+Tadjik+Tadjik @ 9.143207
32 Bedouin+Sardinian+Tadjik+Tadjik @ 9.145551
33 Bedouin+Iberian+Tadjik+Tadjik @ 9.146191
34 Jew_Yemen+Mozabite+Tadjik+Tadjik @ 9.147282
35 Saudi+Sephardim+Tadjik+Tadjik @ 9.151642
36 British+Saudi+Tadjik+Tadjik @ 9.155364
37 Italian-Center+Saudi+Tadjik+Tadjik @ 9.15623
38 Ashkenazim+Saudi+Tadjik+Tadjik @ 9.156697
39 Jew_Italia+Saudi+Tadjik+Tadjik @ 9.163753
40 Ashkenazim+Jew_Yemen+Tadjik+Tadjik @ 9.165206
144084501 iterations.

Surprising, it actually got Otzi.

Because Kalash/Indo-Iranian is a problematic component (although it seems to be working), I did a run of the Haryana/N-India profile and put Kalash into West Asian (Caucasus basically) instead and got this:

Least-squares method.

Using 1 population approximation:
1 Tatar @ 16.04096
2 Tartar_Mishar @ 19.428134
3 Chuvash @ 19.620925
4 Tatar_Kryashen @ 20.62741
5 Komi @ 21.941053
6 Tatar_Lithuania @ 22.78155
7 Udmurd @ 24.806
8 Aleut @ 24.885353
9 Mari @ 26.174263
10 Latvian_V @ 26.685041
11 Bosnian @ 28.638303
12 Bashkir @ 28.893211
13 Mansi @ 28.960705
14 Mordovian_V @ 29.032826
15 Gagauz @ 29.08697
16 German @ 29.102346
17 Mordovian @ 29.333255
18 Macedonian @ 29.856361
19 Bulgarian @ 29.878223
20 Hungarian @ 29.975263
241 iterations.

Using 2 populations approximation:
1 Komi+Nogai @ 11.920789
2 Russian_North+Tadjik @ 11.959103
3 Komi+Tadjik @ 12.466957
4 Mordovian+Tadjik @ 12.53243
5 Komi+Tabassaran @ 12.57313
6 Cirkassian+Komi @ 13.048957
7 Komi+Lak @ 13.118122
8 Avar+Komi @ 13.173133
9 Balkarian+Komi @ 13.190168
10 Russian_North+Tabassaran @ 13.224592
11 Lak+Russian_North @ 13.23325
12 Russian_V+Tadjik @ 13.272289
13 Kumyk+Russian_North @ 13.273519
14 Nogai+Russian_North @ 13.297585
15 Moldavian+Tadjik @ 13.298974
16 Adygei+Komi @ 13.320014
17 Komi+Kumyk @ 13.357645
18 Mordovian_V+Tadjik @ 13.441523
19 Balkarian+Russian_North @ 13.545769
20 Lezgin+Russian_North @ 13.591818
29161 iterations.

Using 3 populations approximation:
1 50% Komi +25% Avar +25% Tsimsian @ 7.654774
2 50% Komi +25% Aleut +25% Avar @ 7.967104
3 50% Komi +25% Aleut +25% Lak @ 8.037102
4 50% Komi +25% Aleut +25% Lezgin @ 8.147491
5 50% Komi +25% Abhkasian +25% Aleut @ 8.331183
6 50% Komi +25% Lak +25% Tsimsian @ 8.424399
7 50% Komi +25% Abhkasian +25% Komi @ 8.434059
8 50% Komi +25% Aleut +25% Tabassaran @ 8.453343
9 50% Komi +25% Lak +25% Tatar @ 8.472733
10 50% Chuvash +25% Aleut +25% Avar @ 8.491857
11 50% Komi +25% Tabassaran +25% Tsimsian @ 8.506631
12 50% Komi +25% Avar +25% Tatar @ 8.522134
13 50% Komi +25% Lezgin +25% Tatar @ 8.62161
14 50% Komi +25% Aleut +25% Chechen @ 8.631797
15 50% Komi +25% Lezgin +25% Tsimsian @ 8.703248
16 50% Chuvash +25% Aleut +25% Lak @ 8.763393
17 50% Komi +25% Aleut +25% Ossetian @ 8.771758
18 50% Komi +25% Tabassaran +25% Tatar @ 8.781993
19 50% Komi +25% Lak +25% Tartar_Mishar @ 8.800028
20 50% Komi +25% Lezgin +25% Tartar_Mishar @ 8.862386
4826613 iterations.

Using 4 populations approximation:
1 Avar+Latvian+Tsimsian+Udmurd @ 7.190677
2 Avar+Estonian+Tsimsian+Udmurd @ 7.259199
3 Avar+Lithuanian+Tsimsian+Udmurd @ 7.430332
4 Aleut+Avar+Latvian_V+Udmurd @ 7.521377
5 Avar+Belarusian+Tsimsian+Udmurd @ 7.529585
6 Aleut+Avar+Mordovian+Udmurd @ 7.532567
7 Aleut+Lak+Mordovian+Udmurd @ 7.625057
8 Avar+Komi+Komi+Tsimsian @ 7.654774
9 Lak+Latvian+Tsimsian+Udmurd @ 7.662619
10 Avar+Russian+Tsimsian+Udmurd @ 7.709298
11 Avar+Estonian+Mari+Tsimsian @ 7.72198
12 Aleut+Lak+Latvian_V+Udmurd @ 7.73494
13 Aleut+Avar+Russian_North+Udmurd @ 7.740941
14 Avar+Lithuanian_V+Tsimsian+Udmurd @ 7.747746
15 Aleut+Avar+Udmurd+Ukrainian-Center @ 7.766051
16 Aleut+Avar+Mordovian_V+Udmurd @ 7.769834
17 Avar+Latvian+Mari+Tsimsian @ 7.772239
18 Aleut+Lezgin+Mordovian+Udmurd @ 7.799122
19 Lak+Lithuanian+Tsimsian+Udmurd @ 7.801762
20 Aleut+Avar+Tartar_Mishar+Udmurd @ 7.832851
21 Aleut+Avar+Udmurd+Ukrainian_V @ 7.837664
22 Avar+Russian_North+Tsimsian+Udmurd @ 7.840062
23 Estonian+Lak+Tsimsian+Udmurd @ 7.87797
24 Aleut+Avar+Latvian_V+Mari @ 7.879142
25 Latvian+Lezgin+Tsimsian+Udmurd @ 7.882819
26 Avar+Russian_Center+Tsimsian+Udmurd @ 7.903936
27 Aleut+Lak+Russian_North+Udmurd @ 7.904389
28 Aleut+Lak+Udmurd+Ukrainian-Center @ 7.911053
29 Avar+Mari+Mordovian+Tsimsian @ 7.912593
30 Aleut+Avar+Udmurd+Ukrainian-West @ 7.920992
31 Aleut+Avar+Russian_V+Udmurd @ 7.947078
32 Latvian+Tabassaran+Tsimsian+Udmurd @ 7.947405
33 Aleut+Latvian_V+Tabassaran+Udmurd @ 7.947978
34 Avar+Moldavian+Tsimsian+Udmurd @ 7.950416
35 Avar+Mari+Russian_North+Tsimsian @ 7.951503
36 Aleut+Avar+Russian_South+Udmurd @ 7.953224
37 Avar+Belarusian+Mari+Tsimsian @ 7.954704
38 Avar+Mordovian+Tsimsian+Udmurd @ 7.956563
39 Aleut+Avar+Udmurd+Ukrainian-East @ 7.961975
40 Aleut+Mordovian+Tabassaran+Udmurd @ 7.964524
41152161 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tatar @ 8.848604
2 Tatar_Kryashen @ 9.089698
3 Mordovian_V @ 9.388074
4 Tadjik @ 9.490593
5 Mari @ 9.565373
6 Komi @ 9.797058
7 Udmurd @ 10.007535
8 Lak @ 10.232368
9 Bashkir @ 10.308801
10 Nogai @ 10.901111
11 Mordovian @ 11.221273
12 Hakas @ 11.409929
13 Lezgin @ 11.580073
14 German @ 11.722863
15 Chuvash @ 11.826119
16 Avar @ 12.019501
17 Ashkenazim_V @ 12.047324
18 Russian_V @ 12.221765
19 Aleut @ 12.226437
20 Tabassaran @ 12.2728
241 iterations.

Using 2 populations approximation:
1 Aleut+Avar @ 7.061191
2 Aleut+Lak @ 7.13576
3 Aleut+Tadjik @ 7.202451
4 Costanoan+Komi @ 7.241326
5 Lak+Mari @ 7.318222
6 Aleut+Lezgin @ 7.334467
7 Aleut+Tabassaran @ 7.340908
8 Tsimsian+Udmurd @ 7.447089
9 Latvian_V+Mari @ 7.465873
10 Komi+Lak @ 7.474842
11 Tartar_Mishar+Tsimsian @ 7.509889
12 Aleut+Chechen @ 7.528228
13 Cirkassian+Mari @ 7.556171
14 Costanoan+Mari @ 7.590793
15 Costanoan+Udmurd @ 7.612984
16 Mordovian_V+Tadjik @ 7.617432
17 Aleut+Nogai @ 7.657838
18 Chuvash+Costanoan @ 7.662479
19 Komi+Tadjik @ 7.670663
20 Mordovian_V+Udmurd @ 7.708512
29161 iterations.

Using 3 populations approximation:
1 50% Komi +25% Avar +25% Tsimsian @ 5.13387
2 50% Komi +25% Lak +25% Tsimsian @ 5.200778
3 50% Komi +25% Tabassaran +25% Tsimsian @ 5.238312
4 50% Komi +25% Lezgin +25% Tsimsian @ 5.268729
5 50% Komi +25% Chechen +25% Tsimsian @ 5.364686
6 50% Komi +25% Abhkasian +25% Tsimsian @ 5.438836
7 50% Komi +25% Adygei +25% Tsimsian @ 5.47647
8 50% Komi +25% Georgian_Imereti +25% Tsimsian @ 5.492604
9 50% Komi +25% Georgian +25% Tsimsian @ 5.500254
10 50% Komi +25% NorthOssetian +25% Tsimsian @ 5.520023
11 50% Udmurd +25% Avar +25% Tsimsian @ 5.531413
12 50% Komi +25% Ossetian +25% Tsimsian @ 5.534924
13 50% Komi +25% Georgian_Laz +25% Tsimsian @ 5.563216
14 50% Komi +25% Balkarian +25% Tsimsian @ 5.567604
15 50% Udmurd +25% Lak +25% Tsimsian @ 5.613249
16 50% Mari +25% Avar +25% Tsimsian @ 5.615584
17 50% Udmurd +25% Tabassaran +25% Tsimsian @ 5.621631
18 50% Komi +25% Avar +25% Haida @ 5.627508
19 50% Komi +25% Kabardinian +25% Tsimsian @ 5.628169
20 50% Mansi +25% Avar +25% Tsimsian @ 5.62996
6998640 iterations.

Using 4 populations approximation:
1 Avar+Latvian+Tsimsian+Udmurd @ 5.061877
2 Avar+Inkeri+Tsimsian+Udmurd @ 5.077534
3 Avar+Inkeri+Mansi+Tsimsian @ 5.093559
4 Avar+Estonian+Tsimsian+Udmurd @ 5.096939
5 Avar+Lithuanian_V+Tsimsian+Udmurd @ 5.106423
6 Avar+Karelian+Tsimsian+Udmurd @ 5.10768
7 Lak+Latvian+Tsimsian+Udmurd @ 5.1105
8 Avar+Karelian+Mansi+Tsimsian @ 5.126577
9 Avar+Komi+Komi+Tsimsian @ 5.13387
10 Avar+Russian_North+Tsimsian+Udmurd @ 5.144027
11 Avar+Tsimsian+Udmurd+Vepsa @ 5.150496
12 Lak+Lithuanian_V+Tsimsian+Udmurd @ 5.150832
13 Estonian+Lak+Tsimsian+Udmurd @ 5.155942
14 Avar+Mansi+Tsimsian+Vepsa @ 5.165431
15 Latvian+Tabassaran+Tsimsian+Udmurd @ 5.166245
16 Avar+Russian_Center+Tsimsian+Udmurd @ 5.166515
17 Avar+Finnish+Tsimsian+Udmurd @ 5.167626
18 Inkeri+Lak+Tsimsian+Udmurd @ 5.168739
19 Avar+Polish_V+Tsimsian+Udmurd @ 5.175404
20 Avar+Latvian+Mansi+Tsimsian @ 5.182033
21 Avar+Finnish+Mansi+Tsimsian @ 5.186116
22 Avar+Estonian+Mansi+Tsimsian @ 5.187374
23 Avar+Inkeri+Mari+Tsimsian @ 5.188532
24 Latvian+Lezgin+Tsimsian+Udmurd @ 5.191806
25 Avar+Latvian+Mari+Tsimsian @ 5.193767
26 Karelian+Lak+Tsimsian+Udmurd @ 5.195096
27 Inkeri+Lak+Mansi+Tsimsian @ 5.19522
28 Avar+Russian_South+Tsimsian+Udmurd @ 5.198266
29 Avar+Mansi+Russian_North+Tsimsian @ 5.198377
30 Estonian+Tabassaran+Tsimsian+Udmurd @ 5.200778
31 Komi+Komi+Lak+Tsimsian @ 5.200778
32 Lithuanian_V+Tabassaran+Tsimsian+Udmurd @ 5.204241
33 Inkeri+Tabassaran+Tsimsian+Udmurd @ 5.206045
34 Lak+Russian_Center+Tsimsian+Udmurd @ 5.214497
35 Lak+Russian_North+Tsimsian+Udmurd @ 5.217168
36 Lak+Polish_V+Tsimsian+Udmurd @ 5.221366
37 Avar+Karelian+Mari+Tsimsian @ 5.223415
38 Avar+Estonian+Mari+Tsimsian @ 5.223928
39 Karelian+Lak+Mansi+Tsimsian @ 5.224424
40 Avar+Lithuanian+Tsimsian+Udmurd @ 5.226268
144084501 iterations.

While a better fit, the Kalash does pull the results towards modern day Central Asia more.

I added Yamnaya and Karelian EHG (from their Gedmatch results) to the population list (btw they get 4-6% Kalash which is in range of South Asian populations in MDLP-World22 spreadsheet).

Haryana/N-India:


Least-squares method.

Using 1 population approximation:
1 Tatar @ 24.82012
2 Chuvash @ 24.862332
3 Komi @ 25.659984
4 Tatar_Kryashen @ 25.738862
5 Aleut @ 26.236686
6 Karelia_EHG @ 27.066503
7 Tartar_Mishar @ 27.840193
8 Mari @ 28.991872
9 Udmurd @ 29.788447
10 Mansi @ 30.058072
11 Tatar_Lithuania @ 31.043844
12 Yamnaya @ 32.295033
13 Mordovian @ 32.675505
14 German @ 33.057659
15 Russian_North @ 33.315531
16 Swedish_V @ 33.610585
17 Mordovian_V @ 33.707779
18 Colville @ 33.763012
19 Finnish @ 34.251165
20 Norwegian_V @ 34.261471
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Colville @ 21.485274
2 Karelia_EHG+Miwok @ 22.20585
3 Karelia_EHG+Tatar @ 22.291849
4 Karelia_EHG+Puerto-Rican @ 22.489852
5 Karelia_EHG+Norwegian_V @ 22.55807
6 Aleut+Udmurd @ 22.772713
7 Karelia_EHG+Tatar_Lithuania @ 22.850823
8 Karelia_EHG+Aleut @ 22.969462
9 Aleut+Mari @ 23.022711
10 Aleut+Chuvash @ 23.030966
11 Aleut+Mansi @ 23.099905
12 Karelia_EHG+Orcadian @ 23.158428
13 Mari+Norwegian_V @ 23.17804
14 Swedish_V+Udmurd @ 23.21704
15 Karelia_EHG+CEU @ 23.258483
16 Mari+Swedish_V @ 23.323543
17 Karelia_EHG+Romania @ 23.327383
18 Aleut+Komi @ 23.329972
19 Karelia_EHG+Swiss @ 23.338234
20 Karelia_EHG+Lumbee @ 23.391345
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Orcadian +25% Ste7 @ 19.284587
2 50% Karelia_EHG +25% Norwegian_V +25% Ste7 @ 19.289046
3 50% Karelia_EHG +25% Ste7 +25% Welsh @ 19.520389
4 50% Karelia_EHG +25% British +25% Ste7 @ 19.542247
5 50% Karelia_EHG +25% CEU +25% Ste7 @ 19.637177
6 50% Karelia_EHG +25% Orcadian +25% Shor @ 19.781194
7 50% Karelia_EHG +25% French +25% Ste7 @ 19.788171
8 50% Karelia_EHG +25% Norwegian_V +25% Shor @ 19.795392
9 50% Karelia_EHG +25% Ste7 +25% Swedish_V @ 19.85511
10 50% Karelia_EHG +25% Norwegian_V +25% Uzbek @ 19.887005
11 50% Karelia_EHG +25% Miwok +25% Norwegian_V @ 19.902043
12 50% Karelia_EHG +25% Miwok +25% Tatar @ 19.920727
13 50% Karelia_EHG +25% Bashkir +25% Norwegian_V @ 19.927086
14 50% Karelia_EHG +25% Bashkir +25% Orcadian @ 19.94066
15 50% Karelia_EHG +25% Hazara +25% Norwegian_V @ 19.981555
16 50% Karelia_EHG +25% Orcadian +25% Uzbek @ 19.983874
17 50% Karelia_EHG +25% Shor +25% Welsh @ 20.009148
18 50% Karelia_EHG +25% Hazara +25% Orcadian @ 20.02166
19 50% Karelia_EHG +25% Hakas +25% Orcadian @ 20.042729
20 50% Karelia_EHG +25% Hakas +25% Norwegian_V @ 20.046244
6707085 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Orcadian+Ste7 @ 19.284587
2 Karelia_EHG+Karelia_EHG+Norwegian_V+Ste7 @ 19.289046
3 Karelia_EHG+Karelia_EHG+Ste7+Welsh @ 19.520389
4 Karelia_EHG+Karelia_EHG+British+Ste7 @ 19.542247
5 Karelia_EHG+Karelia_EHG+CEU+Ste7 @ 19.637177
6 Karelia_EHG+Karelia_EHG+Orcadian+Shor @ 19.781194
7 Karelia_EHG+Karelia_EHG+French+Ste7 @ 19.788171
8 Karelia_EHG+Karelia_EHG+Norwegian_V+Shor @ 19.795392
9 Karelia_EHG+Karelia_EHG+Ste7+Swedish_V @ 19.85511
10 Karelia_EHG+Karelia_EHG+Norwegian_V+Uzbek @ 19.887005
11 Karelia_EHG+Karelia_EHG+Miwok+Norwegian_V @ 19.902043
12 Karelia_EHG+Karelia_EHG+Miwok+Tatar @ 19.920727
13 Karelia_EHG+Karelia_EHG+Bashkir+Norwegian_V @ 19.927086
14 Karelia_EHG+Karelia_EHG+Bashkir+Orcadian @ 19.94066
15 Karelia_EHG+Karelia_EHG+Hazara+Norwegian_V @ 19.981555
16 Karelia_EHG+Karelia_EHG+Orcadian+Uzbek @ 19.983874
17 Karelia_EHG+Karelia_EHG+Shor+Welsh @ 20.009148
18 Karelia_EHG+Karelia_EHG+Hazara+Orcadian @ 20.02166
19 Karelia_EHG+Karelia_EHG+Hakas+Orcadian @ 20.042729
20 Karelia_EHG+Karelia_EHG+Hakas+Norwegian_V @ 20.046244
21 Karelia_EHG+Karelia_EHG+British+Shor @ 20.046395
22 Karelia_EHG+Karelia_EHG+CEU_V+Ste7 @ 20.080815
23 Karelia_EHG+Karelia_EHG+Ste7+Swedish @ 20.123342
24 Karelia_EHG+Karelia_EHG+Karakalpak+Norwegian_V @ 20.127415
25 Karelia_EHG+Karelia_EHG+Chuvash+Miwok @ 20.135656
26 Karelia_EHG+Karelia_EHG+CEU+Shor @ 20.1357
27 Karelia_EHG+Karelia_EHG+Karakalpak+Orcadian @ 20.177066
28 Karelia_EHG+Karelia_EHG+Miwok+Tatar_Kryashen @ 20.186179
29 Karelia_EHG+Karelia_EHG+Bashkir+French @ 20.189873
30 Karelia_EHG+Karelia_EHG+German-South+Ste7 @ 20.193895
31 Karelia_EHG+Karelia_EHG+Bashkir+British @ 20.199564
32 Karelia_EHG+Karelia_EHG+Puerto-Rican+Tatar @ 20.202032
33 Karelia_EHG+Karelia_EHG+German_V+Ste7 @ 20.211488
34 Karelia_EHG+Karelia_EHG+Austrian+Ste7 @ 20.215051
35 Karelia_EHG+Karelia_EHG+Bashkir+Welsh @ 20.215824
36 Karelia_EHG+Karelia_EHG+Uzbek+Welsh @ 20.220027
37 Karelia_EHG+Karelia_EHG+Miwok+Swedish_V @ 20.220764
38 Karelia_EHG+Karelia_EHG+Swedish_V+Uzbek @ 20.220964
39 Karelia_EHG+Karelia_EHG+French+Shor @ 20.22746
40 Karelia_EHG+Karelia_EHG+Norwegian_V+Uygur @ 20.231418
120560433 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Yamnaya @ 8.737145
2 Tadjik @ 11.302249
3 Udmurd @ 13.123847
4 Lak @ 13.904306
5 Hakas @ 13.974341
6 Tatar @ 14.143537
7 Bashkir @ 14.209611
8 Mari @ 14.393424
9 Shor @ 14.552569
10 Tabassaran @ 15.229082
11 Uygur @ 15.247117
12 Lezgin @ 15.368001
13 Komi @ 15.454221
14 Kazakh @ 15.47729
15 Mordovian @ 15.529303
16 Hazara @ 15.686109
17 Turkmen @ 15.701783
18 Karakalpak @ 15.819239
19 Tatar_Kryashen @ 15.823049
20 Uzbek @ 15.842255
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Norwegian_V @ 7.560948
2 Karelia_EHG+Orcadian @ 7.572877
3 Karelia_EHG+Welsh @ 7.905994
4 Karelia_EHG+Swedish_V @ 8.056312
5 Karelia_EHG+British @ 8.166674
6 Karelia_EHG+Tadjik @ 8.358355
7 Karelia_EHG+CEU @ 8.533411
8 Yamnaya+Yamnaya @ 8.737145
9 Yamnaya+Norwegian_V @ 8.834882
10 Yamnaya+Orcadian @ 8.837144
11 Karelia_EHG+Miwok @ 8.837365
12 Karelia_EHG+French @ 8.878077
13 Karelia_EHG+CEU_V @ 8.971779
14 Karelia_EHG+Swedish @ 8.98718
15 Karelia_EHG+Tabassaran @ 8.98828
16 Karelia_EHG+Lumbee @ 9.035007
17 Karelia_EHG+Lak @ 9.054004
18 Karelia_EHG+German-North @ 9.081465
19 Yamnaya+Tadjik @ 9.117677
20 Yamnaya+Welsh @ 9.147773
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Karelia_EHG +25% Orcadian @ 7.233856
2 50% Karelia_EHG +25% Karelia_EHG +25% Norwegian_V @ 7.279917
3 50% Karelia_EHG +25% Orcadian +25% Tadjik @ 7.420607
4 50% Karelia_EHG +25% Yamnaya +25% Orcadian @ 7.43076
5 50% Karelia_EHG +25% Karelia_EHG +25% Welsh @ 7.438406
6 50% Karelia_EHG +25% Norwegian_V +25% Tadjik @ 7.441228
7 50% Karelia_EHG +25% Yamnaya +25% Norwegian_V @ 7.463943
8 50% Karelia_EHG +25% Karelia_EHG +25% British @ 7.530501
9 50% Karelia_EHG +25% Tadjik +25% Welsh @ 7.549358
10 50% Karelia_EHG +25% Norwegian_V +25% Norwegian_V @ 7.560948
11 50% Karelia_EHG +25% Karelia_EHG +25% Swedish_V @ 7.564093
12 50% Karelia_EHG +25% Orcadian +25% Orcadian @ 7.572877
13 50% Karelia_EHG +25% Norwegian_V +25% Orcadian @ 7.573077
14 50% Karelia_EHG +25% Swedish_V +25% Tadjik @ 7.575462
15 50% Karelia_EHG +25% Yamnaya +25% Welsh @ 7.6115
16 50% Karelia_EHG +25% British +25% Tadjik @ 7.616841
17 50% Yamnaya +25% Karelia_EHG +25% Orcadian @ 7.670873
18 50% Karelia_EHG +25% Yamnaya +25% British @ 7.69088
19 50% Yamnaya +25% Karelia_EHG +25% Norwegian_V @ 7.692351
20 50% Karelia_EHG +25% Karelia_EHG +25% CEU @ 7.730106
7174332 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Karelia_EHG+Orcadian @ 7.233856
2 Karelia_EHG+Karelia_EHG+Karelia_EHG+Norwegian_V @ 7.279917
3 Karelia_EHG+Karelia_EHG+Orcadian+Tadjik @ 7.420607
4 Yamnaya+Karelia_EHG+Karelia_EHG+Orcadian @ 7.43076
5 Karelia_EHG+Karelia_EHG+Karelia_EHG+Welsh @ 7.438406
6 Karelia_EHG+Karelia_EHG+Norwegian_V+Tadjik @ 7.441228
7 Yamnaya+Karelia_EHG+Karelia_EHG+Norwegian_V @ 7.463943
8 Karelia_EHG+Karelia_EHG+Karelia_EHG+British @ 7.530501
9 Karelia_EHG+Karelia_EHG+Tadjik+Welsh @ 7.549358
10 Karelia_EHG+Karelia_EHG+Norwegian_V+Norwegian_V @ 7.560948
11 Karelia_EHG+Karelia_EHG+Karelia_EHG+Swedish_V @ 7.564093
12 Karelia_EHG+Karelia_EHG+Orcadian+Orcadian @ 7.572877
13 Karelia_EHG+Karelia_EHG+Norwegian_V+Orcadian @ 7.573077
14 Karelia_EHG+Karelia_EHG+Swedish_V+Tadjik @ 7.575462
15 Yamnaya+Karelia_EHG+Karelia_EHG+Welsh @ 7.6115
16 Karelia_EHG+Karelia_EHG+British+Tadjik @ 7.616841
17 Yamnaya+Yamnaya+Karelia_EHG+Orcadian @ 7.670873
18 Yamnaya+Karelia_EHG+Karelia_EHG+British @ 7.69088
19 Yamnaya+Yamnaya+Karelia_EHG+Norwegian_V @ 7.692351
20 Karelia_EHG+Karelia_EHG+Karelia_EHG+CEU @ 7.730106
21 Karelia_EHG+Karelia_EHG+Norwegian_V+Welsh @ 7.731446
22 Karelia_EHG+Karelia_EHG+CEU+Tadjik @ 7.749137
23 Karelia_EHG+Karelia_EHG+Orcadian+Welsh @ 7.7503
24 Yamnaya+Karelia_EHG+Karelia_EHG+Swedish_V @ 7.757378
25 Yamnaya+Karelia_EHG+Orcadian+Tadjik @ 7.772483
26 Yamnaya+Karelia_EHG+Norwegian_V+Tadjik @ 7.780614
27 Karelia_EHG+Karelia_EHG+Orcadian+Swedish_V @ 7.811658
28 Karelia_EHG+Karelia_EHG+Norwegian_V+Swedish_V @ 7.81744
29 Karelia_EHG+Karelia_EHG+Karelia_EHG+French @ 7.836671
30 Karelia_EHG+Karelia_EHG+Karelia_EHG+Basque @ 7.84199
31 Yamnaya+Yamnaya+Karelia_EHG+Welsh @ 7.844416
32 Karelia_EHG+Karelia_EHG+British+Norwegian_V @ 7.851561
33 Karelia_EHG+Karelia_EHG+British+Orcadian @ 7.865636
34 Karelia_EHG+Karelia_EHG+Swedish+Tadjik @ 7.871139
35 Yamnaya+Karelia_EHG+Karelia_EHG+CEU @ 7.878247
36 Karelia_EHG+Karelia_EHG+French+Tadjik @ 7.894793
37 Yamnaya+Karelia_EHG+Swedish_V+Tadjik @ 7.895352
38 Yamnaya+Karelia_EHG+Tadjik+Welsh @ 7.897758
39 Karelia_EHG+Karelia_EHG+CEU_V+Tadjik @ 7.900273
40 Karelia_EHG+Karelia_EHG+Welsh+Welsh @ 7.905994
148897035 iterations.


Haryana/N-India again after dumping Kalash into West Asian gives a lot more Yamnaya in the results:

Least-squares method.

Using 1 population approximation:
1 Tatar @ 16.04096
2 Yamnaya @ 16.150653
3 Tartar_Mishar @ 19.428134
4 Chuvash @ 19.620925
5 Tatar_Kryashen @ 20.62741
6 Komi @ 21.941053
7 Tatar_Lithuania @ 22.78155
8 Udmurd @ 24.806
9 Aleut @ 24.885353
10 Mari @ 26.174263
11 Latvian_V @ 26.685041
12 Bosnian @ 28.638303
13 Bashkir @ 28.893211
14 Mansi @ 28.960705
15 Mordovian_V @ 29.032826
16 Gagauz @ 29.08697
17 German @ 29.102346
18 Mordovian @ 29.333255
19 Macedonian @ 29.856361
20 Bulgarian @ 29.878223
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Cirkassian @ 7.096692
2 Karelia_EHG+Balkarian @ 7.293288
3 Karelia_EHG+Adygei @ 7.591627
4 Karelia_EHG+Kabardinian @ 8.062955
5 Karelia_EHG+Kumyk @ 8.288279
6 Karelia_EHG+Chechen @ 8.42271
7 Karelia_EHG+Tabassaran @ 8.667638
8 Karelia_EHG+Nogai @ 8.891464
9 Karelia_EHG+Lak @ 9.175403
10 Karelia_EHG+NorthOssetian @ 9.205104
11 Karelia_EHG+Lezgin @ 9.399135
12 Karelia_EHG+Avar @ 9.534387
13 Karelia_EHG+Georgian @ 9.90339
14 Karelia_EHG+Tatar_Crim @ 10.405313
15 Karelia_EHG+Ossetian @ 10.578893
16 Karelia_EHG+Greek_Azov @ 10.743671
17 Komi+Nogai @ 11.920789
18 Karelia_EHG+Tadjik @ 11.930547
19 Russian_North+Tadjik @ 11.959103
20 Yamnaya+Tatar @ 11.980405
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Abhkasian +25% Tartar_Mishar @ 5.278688
2 50% Karelia_EHG +25% Avar +25% Tatar_Crim @ 5.510222
3 50% Karelia_EHG +25% Abhkasian +25% Tatar @ 5.553066
4 50% Karelia_EHG +25% Georgian_Imereti +25% Tartar_Mishar @ 5.680238
5 50% Karelia_EHG +25% Abhkasian +25% Tatar_Kryashen @ 5.828986
6 50% Karelia_EHG +25% Lak +25% Tatar_Crim @ 5.908424
7 50% Karelia_EHG +25% Tabassaran +25% Tatar_Crim @ 5.944956
8 50% Karelia_EHG +25% Yamnaya +25% Georgian_Imereti @ 6.005007
9 50% Karelia_EHG +25% Yamnaya +25% Abhkasian @ 6.026251
10 50% Karelia_EHG +25% Avar +25% Greek_North @ 6.079731
11 50% Karelia_EHG +25% Avar +25% Gagauz @ 6.19548
12 50% Karelia_EHG +25% Georgian_Imereti +25% Tatar @ 6.208232
13 50% Komi +25% Karelia_EHG +25% Abhkasian @ 6.219516
14 50% Karelia_EHG +25% Avar +25% Romania @ 6.237329
15 50% Karelia_EHG +25% Abhkasian +25% German @ 6.260731
16 50% Karelia_EHG +25% Avar +25% Greek_Azov @ 6.279025
17 50% Karelia_EHG +25% Lezgin +25% Tatar_Crim @ 6.295273
18 50% Karelia_EHG +25% Abhkasian +25% Latvian_V @ 6.357245
19 50% Karelia_EHG +25% Gagauz +25% Lak @ 6.379383
20 50% Karelia_EHG +25% Yamnaya +25% Georgian_Laz @ 6.401916
4031579 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Abhkasian+Tartar_Mishar @ 5.278688
2 Karelia_EHG+Karelia_EHG+Avar+Tatar_Crim @ 5.510222
3 Karelia_EHG+Karelia_EHG+Abhkasian+Tatar @ 5.553066
4 Yamnaya+Karelia_EHG+Abhkasian+Komi @ 5.651665
5 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Tartar_Mi shar @ 5.680238
6 Karelia_EHG+Karelia_EHG+Abhkasian+Tatar_Kryashen @ 5.828986
7 Yamnaya+Karelia_EHG+Georgian_Imereti+Komi @ 5.845533
8 Karelia_EHG+Karelia_EHG+Lak+Tatar_Crim @ 5.908424
9 Karelia_EHG+Abhkasian+Komi+Tartar_Mishar @ 5.917791
10 Karelia_EHG+Karelia_EHG+Tabassaran+Tatar_Crim @ 5.944956
11 Yamnaya+Karelia_EHG+Karelia_EHG+Georgian_Imereti @ 6.005007
12 Yamnaya+Karelia_EHG+Karelia_EHG+Abhkasian @ 6.026251
13 Yamnaya+Karelia_EHG+Georgian_Laz+Komi @ 6.064507
14 Karelia_EHG+Karelia_EHG+Avar+Greek_North @ 6.079731
15 Yamnaya+Karelia_EHG+Komi+Ossetian @ 6.09748
16 Yamnaya+Karelia_EHG+Ossetian+Tatar @ 6.117704
17 Yamnaya+Karelia_EHG+NorthOssetian+Tatar @ 6.143794
18 Yamnaya+Karelia_EHG+Georgian+Tatar @ 6.159156
19 Karelia_EHG+Abhkasian+Moldavian+Udmurd @ 6.188137
20 Yamnaya+Karelia_EHG+Chuvash+Ossetian @ 6.19254
21 Yamnaya+Karelia_EHG+Abhkasian+Chuvash @ 6.193214
22 Karelia_EHG+Karelia_EHG+Avar+Gagauz @ 6.19548
23 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Tatar @ 6.208232
24 Karelia_EHG+Abhkasian+Komi+Komi @ 6.219516
25 Yamnaya+Karelia_EHG+Balkarian+Tatar @ 6.223762
26 Karelia_EHG+Karelia_EHG+Avar+Romania @ 6.237329
27 Yamnaya+Karelia_EHG+Chechen+Tatar @ 6.25522
28 Karelia_EHG+Karelia_EHG+Abhkasian+German @ 6.260731
29 Karelia_EHG+Karelia_EHG+Avar+Greek_Azov @ 6.279025
30 Yamnaya+Karelia_EHG+Adygei+Tatar @ 6.295131
31 Karelia_EHG+Karelia_EHG+Lezgin+Tatar_Crim @ 6.295273
32 Karelia_EHG+Abhkasian+Mordovian_V+Udmurd @ 6.307642
33 Karelia_EHG+Abhkasian+Russian_North+Udmurd @ 6.309169
34 Karelia_EHG+Abhkasian+Latvian_V+Mari @ 6.330719
35 Karelia_EHG+Abhkasian+Russian_South+Udmurd @ 6.332023
36 Yamnaya+Karelia_EHG+Chuvash+Georgian @ 6.336304
37 Yamnaya+Karelia_EHG+Ossetian+Tatar_Kryashen @ 6.336675
38 Karelia_EHG+Abhkasian+Udmurd+Ukrainian-Center @ 6.338518
39 Yamnaya+Karelia_EHG+Cirkassian+Tatar @ 6.342481
40 Karelia_EHG+Karelia_EHG+Abhkasian+Latvian_V @ 6.357245
24176677 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Yamnaya @ 5.351695
2 Tatar @ 8.848604
3 Tatar_Kryashen @ 9.089698
4 Mordovian_V @ 9.388074
5 Tadjik @ 9.490593
6 Mari @ 9.565373
7 Komi @ 9.797058
8 Udmurd @ 10.007535
9 Lak @ 10.232368
10 Bashkir @ 10.308801
11 Nogai @ 10.901111
12 Mordovian @ 11.221273
13 Hakas @ 11.409929
14 Lezgin @ 11.580073
15 German @ 11.722863
16 Chuvash @ 11.826119
17 Avar @ 12.019501
18 Ashkenazim_V @ 12.047324
19 Russian_V @ 12.221765
20 Aleut @ 12.226437
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Lak @ 4.482178
2 Karelia_EHG+Chechen @ 4.566794
3 Karelia_EHG+Avar @ 4.66282
4 Karelia_EHG+Tabassaran @ 4.672424
5 Karelia_EHG+Lezgin @ 4.674293
6 Karelia_EHG+Georgian @ 4.700448
7 Karelia_EHG+Adygei @ 4.708646
8 Karelia_EHG+Greek_Azov @ 4.751599
9 Karelia_EHG+Cirkassian @ 4.755734
10 Karelia_EHG+NorthOssetian @ 4.812492
11 Karelia_EHG+Balkarian @ 4.833725
12 Karelia_EHG+Kabardinian @ 4.876298
13 Karelia_EHG+Ossetian @ 4.893856
14 Karelia_EHG+Abhkasian @ 4.981411
15 Karelia_EHG+Georgian_Laz @ 4.988711
16 Karelia_EHG+Kumyk @ 5.013464
17 Karelia_EHG+Georgian_Imereti @ 5.090781
18 Karelia_EHG+Armenian @ 5.198995
19 Karelia_EHG+Greek_North @ 5.305568
20 Karelia_EHG+Greek_East @ 5.344193
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Yamnaya +25% Georgian_Imereti @ 4.007923
2 50% Karelia_EHG +25% Yamnaya +25% Georgian_Laz @ 4.024165
3 50% Karelia_EHG +25% Georgian_Imereti +25% Inkeri @ 4.030866
4 50% Karelia_EHG +25% Yamnaya +25% Abhkasian @ 4.044326
5 50% Karelia_EHG +25% Abhkasian +25% Inkeri @ 4.082314
6 50% Karelia_EHG +25% Georgian_Imereti +25% Polish_V @ 4.095052
7 50% Karelia_EHG +25% Abhkasian +25% Polish_V @ 4.156934
8 50% Karelia_EHG +25% Abhkasian +25% Norwegian_V @ 4.177736
9 50% Karelia_EHG +25% Georgian_Imereti +25% German @ 4.17926
10 50% Yamnaya +25% Karelia_EHG +25% Greek_Azov @ 4.185061
11 50% Karelia_EHG +25% Georgian_Imereti +25% Russian_Center @ 4.18814
12 50% Karelia_EHG +25% Georgian_Laz +25% Inkeri @ 4.190114
13 50% Karelia_EHG +25% Abhkasian +25% Orcadian @ 4.191616
14 50% Karelia_EHG +25% Abhkasian +25% Swedish @ 4.192547
15 50% Karelia_EHG +25% Lak +25% Orcadian @ 4.196056
16 50% Karelia_EHG +25% Georgian_Imereti +25% Karelian @ 4.196996
17 50% Karelia_EHG +25% Abhkasian +25% German @ 4.19847
18 50% Karelia_EHG +25% British +25% Lak @ 4.204724
19 50% Karelia_EHG +25% Georgian_Imereti +25% Ukrainian_V @ 4.207439
20 50% Yamnaya +25% Karelia_EHG +25% Georgian_Laz @ 4.208618
5969589 iterations.

Using 4 populations approximation:
1 Yamnaya+Karelia_EHG+Karelia_EHG+Georgian_Imereti @ 4.007923
2 Yamnaya+Karelia_EHG+Karelia_EHG+Georgian_Laz @ 4.024165
3 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Inkeri @ 4.030866
4 Yamnaya+Karelia_EHG+Karelia_EHG+Abhkasian @ 4.044326
5 Karelia_EHG+Karelia_EHG+Abhkasian+Inkeri @ 4.082314
6 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Polish_V @ 4.095052
7 Karelia_EHG+Karelia_EHG+Abhkasian+Polish_V @ 4.156934
8 Karelia_EHG+Karelia_EHG+Abhkasian+Norwegian_V @ 4.177736
9 Karelia_EHG+Karelia_EHG+Georgian_Imereti+German @ 4.17926
10 Yamnaya+Yamnaya+Karelia_EHG+Greek_Azov @ 4.185061
11 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Russian_C enter @ 4.18814
12 Karelia_EHG+Karelia_EHG+Georgian_Laz+Inkeri @ 4.190114
13 Karelia_EHG+Karelia_EHG+Abhkasian+Orcadian @ 4.191616
14 Karelia_EHG+Karelia_EHG+Abhkasian+Swedish @ 4.192547
15 Karelia_EHG+Karelia_EHG+Lak+Orcadian @ 4.196056
16 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Karelian @ 4.196996
17 Karelia_EHG+Karelia_EHG+Abhkasian+German @ 4.19847
18 Karelia_EHG+Karelia_EHG+British+Lak @ 4.204724
19 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Ukrainian _V @ 4.207439
20 Yamnaya+Yamnaya+Karelia_EHG+Georgian_Laz @ 4.208618
21 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Norwegian _V @ 4.212952
22 Karelia_EHG+Karelia_EHG+Abhkasian+British @ 4.219429
23 Karelia_EHG+Karelia_EHG+Abhkasian+German_V @ 4.221294
24 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Ukrainian-East @ 4.221751
25 Karelia_EHG+Karelia_EHG+Abhkasian+Swedish_V @ 4.223588
26 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Ukrainian-Center @ 4.226654
27 Karelia_EHG+Karelia_EHG+Avar+Orcadian @ 4.229519
28 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Orcadian @ 4.230299
29 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Tartar_Mi shar @ 4.231573
30 Karelia_EHG+Karelia_EHG+Abhkasian+Karelian @ 4.231798
31 Karelia_EHG+Karelia_EHG+German+Lak @ 4.233056
32 Karelia_EHG+Karelia_EHG+German_V+Lak @ 4.235399
33 Karelia_EHG+Karelia_EHG+Abhkasian+German-North @ 4.236066
34 Karelia_EHG+Karelia_EHG+Avar+British @ 4.237458
35 Karelia_EHG+Karelia_EHG+Lak+Norwegian_V @ 4.23758
36 Yamnaya+Karelia_EHG+Georgian_Imereti+Inkeri @ 4.240663
37 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Swedish @ 4.24133
38 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Swedish_V @ 4.244694
39 Yamnaya+Yamnaya+Karelia_EHG+Georgian_Imereti @ 4.245266
40 Yamnaya+Karelia_EHG+Lak+Orcadian @ 4.246023
87499550 iterations.

I'll do the other groups again with the Yamnaya/Karelia_EHG and post that in a bit.

Dr_McNinja
04-09-2015, 05:00 AM
So with the above, you could say HRP0393 Haryana Jatt in MDLP-World22 is:

31.37% South Asia (India)
31.09% West Asia
37.23% (Yamnaya+Karelia_EHG+Karelia_EHG+Orcadian @ 7.43076)

Other populations with Yamnaya/Karelia_EHG:

Afghan Pashtun:

Least-squares method.

Using 1 population approximation:
1 Tatar @ 29.557293
2 Colville @ 29.93098
3 Aleut @ 30.612525
4 Tatar_Kryashen @ 31.326336
5 Tatar_Lithuania @ 31.944785
6 Ashkenazim_V @ 32.266211
7 Chuvash @ 32.405976
8 Puerto-Rican @ 32.896809
9 Bulgarian @ 33.058661
10 Macedonian @ 33.354384
11 Miwok @ 33.48328
12 Gagauz @ 33.569967
13 Romania @ 33.589461
14 Serbian @ 33.930157
15 Montenegrin @ 34.261371
16 Bashkir @ 34.496949
17 Swiss @ 34.642313
18 Norwegian_V @ 34.837531
19 Tartar_Mishar @ 34.910737
20 Komi @ 35.330196
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Ashkenazim @ 20.213556
2 Karelia_EHG+Jew_Morocco @ 21.409512
3 Karelia_EHG+Sephardim @ 21.43681
4 Karelia_EHG+Jew_Algeria @ 21.453832
5 Karelia_EHG+Jew_Italia @ 21.461908
6 Karelia_EHG+Jew_Libya @ 21.524019
7 Karelia_EHG+Jew_Fre @ 21.550674
8 Karelia_EHG+Jew_Tunisia @ 21.796558
9 Karelia_EHG+Sicilian @ 22.059977
10 Karelia_EHG+Mozabite @ 22.278778
11 Karelia_EHG+Otzi @ 22.372688
12 Karelia_EHG+Costanoan @ 22.377435
13 Karelia_EHG+Italian-South @ 22.509517
14 Karelia_EHG+Puerto-Rican @ 22.826246
15 Karelia_EHG+Italian-Center @ 23.045846
16 Karelia_EHG+Jew_Romania @ 23.115725
17 Ashkenazim+Komi @ 23.460413
18 Karelia_EHG+Greek_Cretan @ 23.495341
19 Karelia_EHG+Moroccan @ 23.569948
20 Mari+Puerto-Rican @ 23.659857
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Gok4 +25% Saudi @ 19.092405
2 50% Karelia_EHG +25% Bedouin +25% Gok4 @ 19.298313
3 50% Karelia_EHG +25% Otzi +25% Ste7 @ 19.465251
4 50% Karelia_EHG +25% Ashkenazim +25% Mozabite @ 19.504036
5 50% Karelia_EHG +25% Costanoan +25% Otzi @ 19.595681
6 50% Karelia_EHG +25% Gok4 +25% Jew_Yemen @ 19.655666
7 50% Karelia_EHG +25% Otzi +25% Yemen @ 19.747443
8 50% Karelia_EHG +25% Egyptian +25% Otzi @ 19.749653
9 50% Karelia_EHG +25% Ashkenazim +25% Otzi @ 19.76666
10 50% Karelia_EHG +25% Sardinian +25% Yemen @ 19.839883
11 50% Karelia_EHG +25% Ashkenazim +25% Moroccan @ 19.857212
12 50% Karelia_EHG +25% Jordanian +25% Otzi @ 19.924454
13 50% Karelia_EHG +25% Egyptian +25% Sardinian @ 19.952669
14 50% Karelia_EHG +25% Italian-South +25% Mozabite @ 19.95829
15 50% Karelia_EHG +25% Bedouin +25% Sardinian @ 19.95915
16 50% Karelia_EHG +25% Costanoan +25% Mozabite @ 20.009215
17 50% Karelia_EHG +25% Mozabite +25% Sicilian @ 20.012967
18 50% Karelia_EHG +25% Sardinian +25% Saudi @ 20.014575
19 50% Karelia_EHG +25% Otzi +25% Uzbek @ 20.028689
20 50% Karelia_EHG +25% Miwok +25% Mozabite @ 20.039401
6707391 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Gok4+Saudi @ 19.092405
2 Karelia_EHG+Karelia_EHG+Bedouin+Gok4 @ 19.298313
3 Karelia_EHG+Karelia_EHG+Otzi+Ste7 @ 19.465251
4 Karelia_EHG+Karelia_EHG+Ashkenazim+Mozabite @ 19.504036
5 Karelia_EHG+Mozabite+Norwegian_V+Ste7 @ 19.589885
6 Karelia_EHG+Karelia_EHG+Costanoan+Otzi @ 19.595681
7 Karelia_EHG+Karelia_EHG+Gok4+Jew_Yemen @ 19.655666
8 Karelia_EHG+Bedouin+Miwok+Norwegian_V @ 19.669501
9 Karelia_EHG+Miwok+Norwegian_V+Saudi @ 19.720794
10 Karelia_EHG+Karelia_EHG+Otzi+Yemen @ 19.747443
11 Karelia_EHG+Karelia_EHG+Egyptian+Otzi @ 19.749653
12 Karelia_EHG+Karelia_EHG+Ashkenazim+Otzi @ 19.76666
13 Karelia_EHG+Mozabite+Orcadian+Ste7 @ 19.782716
14 Karelia_EHG+Karelia_EHG+Sardinian+Yemen @ 19.839883
15 Karelia_EHG+Karelia_EHG+Ashkenazim+Moroccan @ 19.857212
16 Karelia_EHG+Miwok+Orcadian+Saudi @ 19.862943
17 Karelia_EHG+Bedouin+Miwok+Orcadian @ 19.865012
18 Karelia_EHG+Mozabite+Norwegian_V+Shor @ 19.8891
19 Karelia_EHG+Mozabite+Ste7+Swedish_V @ 19.893623
20 Karelia_EHG+Karelia_EHG+Jordanian+Otzi @ 19.924454
21 Karelia_EHG+Mozabite+Ste7+Welsh @ 19.926381
22 Karelia_EHG+Jew_Yemen+Miwok+Norwegian_V @ 19.947867
23 Karelia_EHG+Karelia_EHG+Egyptian+Sardinian @ 19.952669
24 Karelia_EHG+Karelia_EHG+Italian-South+Mozabite @ 19.95829
25 Karelia_EHG+Karelia_EHG+Bedouin+Sardinian @ 19.95915
26 Karelia_EHG+Bashkir+Mozabite+Norwegian_V @ 19.960177
27 Karelia_EHG+Bedouin+Miwok+Swedish_V @ 19.972291
28 Karelia_EHG+Moroccan+Norwegian_V+Ste7 @ 20.001144
29 Karelia_EHG+Karelia_EHG+Costanoan+Mozabite @ 20.009215
30 Karelia_EHG+Karelia_EHG+Mozabite+Sicilian @ 20.012967
31 Karelia_EHG+Karelia_EHG+Sardinian+Saudi @ 20.014575
32 Karelia_EHG+Jew_Libya+Norwegian_V+Ste7 @ 20.014903
33 Karelia_EHG+Karelia_EHG+Otzi+Uzbek @ 20.028689
34 Karelia_EHG+British+Mozabite+Ste7 @ 20.038391
35 Karelia_EHG+Karelia_EHG+Miwok+Mozabite @ 20.039401
36 Karelia_EHG+Ashkenazim+Norwegian_V+Ste7 @ 20.050226
37 Karelia_EHG+Miwok+Saudi+Swedish_V @ 20.05727
38 Karelia_EHG+Egyptian+Miwok+Norwegian_V @ 20.060808
39 Karelia_EHG+Karelia_EHG+Otzi+Palestinian @ 20.067412
40 Karelia_EHG+Mozabite+Orcadian+Shor @ 20.069346
119189663 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tadjik @ 13.120639
2 Turkmen @ 14.149849
3 Lak @ 14.31733
4 Lezgin @ 14.713564
5 Uzbek @ 15.060346
6 Tabassaran @ 15.274269
7 Tatar @ 15.518174
8 Uygur @ 15.628104
9 Chechen @ 15.638833
10 Nogai @ 15.717526
11 Tatar_Kryashen @ 15.757601
12 Kumyk @ 15.844547
13 Karakalpak @ 15.937156
14 Mexican @ 16.426827
15 Hazara @ 16.437956
16 Azeri @ 16.498693
17 Kazakh @ 16.771413
18 Colville @ 16.966328
19 Slovakian @ 17.206881
20 Russian_V @ 17.316293
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Ashkenazim @ 9.331881
2 Karelia_EHG+Portugese @ 9.417418
3 Karelia_EHG+Lebanese @ 9.460279
4 Karelia_EHG+Kurd @ 9.513731
5 Karelia_EHG+Iberian @ 9.605845
6 Karelia_EHG+Italian-North @ 9.657179
7 Karelia_EHG+Italian-South @ 9.66541
8 Karelia_EHG+Ashkenazim_V @ 9.680547
9 Karelia_EHG+Iraqi @ 9.802927
10 Karelia_EHG+Italian-Center @ 9.816346
11 Karelia_EHG+Azeri @ 9.861785
12 Yamnaya+Ashkenazim @ 9.869001
13 Karelia_EHG+Sicilian @ 9.928608
14 Karelia_EHG+Spaniard @ 9.92894
15 Karelia_EHG+Jew_Romania @ 9.936641
16 Karelia_EHG+Prov_al @ 9.936732
17 Karelia_EHG+Greek_Azov @ 9.94222
18 Karelia_EHG+Jew_Syria @ 9.955203
19 Karelia_EHG+Turk @ 9.973984
20 Yamnaya+Portugese @ 10.088069
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Lebanese +25% Orcadian @ 8.535031
2 50% Karelia_EHG +25% Lebanese +25% Norwegian_V @ 8.55877
3 50% Karelia_EHG +25% Sardinian +25% Tadjik @ 8.597291
4 50% Karelia_EHG +25% Otzi +25% Tadjik @ 8.648418
5 50% Karelia_EHG +25% Mozabite +25% Tadjik @ 8.665867
6 50% Karelia_EHG +25% Mozabite +25% Orcadian @ 8.667739
7 50% Karelia_EHG +25% Mozabite +25% Norwegian_V @ 8.672909
8 50% Karelia_EHG +25% Sephardim +25% Tadjik @ 8.678461
9 50% Karelia_EHG +25% Lebanese +25% Welsh @ 8.709197
10 50% Karelia_EHG +25% Jew_Italia +25% Tadjik @ 8.731439
11 50% Karelia_EHG +25% Orcadian +25% Saudi @ 8.73593
12 50% Karelia_EHG +25% Iraqi +25% Orcadian @ 8.770361
13 50% Karelia_EHG +25% Jew_Algeria +25% Tadjik @ 8.770922
14 50% Karelia_EHG +25% Moroccan +25% Tadjik @ 8.774854
15 50% Karelia_EHG +25% Jew_Fre +25% Tadjik @ 8.778936
16 50% Karelia_EHG +25% Jew_Morocco +25% Tadjik @ 8.779014
17 50% Karelia_EHG +25% Ashkenazim +25% Tadjik @ 8.785649
18 50% Karelia_EHG +25% Jew_Syria +25% Tadjik @ 8.797752
19 50% Karelia_EHG +25% Ashkenazim +25% Orcadian @ 8.798805
20 50% Karelia_EHG +25% Norwegian_V +25% Saudi @ 8.804465
7174332 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Lebanese+Orcadian @ 8.535031
2 Karelia_EHG+Karelia_EHG+Lebanese+Norwegian_V @ 8.55877
3 Karelia_EHG+Karelia_EHG+Sardinian+Tadjik @ 8.597291
4 Karelia_EHG+Karelia_EHG+Otzi+Tadjik @ 8.648418
5 Karelia_EHG+Karelia_EHG+Mozabite+Tadjik @ 8.665867
6 Karelia_EHG+Norwegian_V+Samaritian+Tadjik @ 8.666632
7 Karelia_EHG+Orcadian+Samaritian+Tadjik @ 8.666932
8 Karelia_EHG+Karelia_EHG+Mozabite+Orcadian @ 8.667739
9 Karelia_EHG+Karelia_EHG+Mozabite+Norwegian_V @ 8.672909
10 Karelia_EHG+Orcadian+Saudi+Tadjik @ 8.676496
11 Karelia_EHG+Karelia_EHG+Sephardim+Tadjik @ 8.678461
12 Karelia_EHG+Mozabite+Norwegian_V+Tadjik @ 8.68963
13 Karelia_EHG+Mozabite+Orcadian+Tadjik @ 8.700077
14 Karelia_EHG+Lebanese+Orcadian+Tadjik @ 8.702262
15 Karelia_EHG+Lebanese+Norwegian_V+Tadjik @ 8.702856
16 Karelia_EHG+Karelia_EHG+Lebanese+Welsh @ 8.709197
17 Karelia_EHG+Norwegian_V+Saudi+Tadjik @ 8.71306
18 Yamnaya+Karelia_EHG+Lebanese+Orcadian @ 8.718169
19 Karelia_EHG+Moroccan+Norwegian_V+Tadjik @ 8.720389
20 Karelia_EHG+Jew_Syria+Norwegian_V+Tadjik @ 8.721161
21 Karelia_EHG+Jew_Yemen+Orcadian+Tadjik @ 8.722233
22 Karelia_EHG+Moroccan+Orcadian+Tadjik @ 8.725629
23 Karelia_EHG+Ashkenazim+Norwegian_V+Tadjik @ 8.727552
24 Karelia_EHG+Jew_Syria+Orcadian+Tadjik @ 8.729228
25 Yamnaya+Karelia_EHG+Lebanese+Norwegian_V @ 8.729705
26 Karelia_EHG+Norwegian_V+Sephardim+Tadjik @ 8.730701
27 Karelia_EHG+Karelia_EHG+Jew_Italia+Tadjik @ 8.731439
28 Karelia_EHG+Ashkenazim+Orcadian+Tadjik @ 8.734538
29 Karelia_EHG+Karelia_EHG+Orcadian+Saudi @ 8.73593
30 Karelia_EHG+Jew_Yemen+Norwegian_V+Tadjik @ 8.73753
31 Karelia_EHG+Orcadian+Sephardim+Tadjik @ 8.747123
32 Karelia_EHG+Jew_Italia+Norwegian_V+Tadjik @ 8.764876
33 Karelia_EHG+Karelia_EHG+Iraqi+Orcadian @ 8.770361
34 Karelia_EHG+Karelia_EHG+Jew_Algeria+Tadjik @ 8.770922
35 Karelia_EHG+Karelia_EHG+Moroccan+Tadjik @ 8.774854
36 Karelia_EHG+Karelia_EHG+Jew_Fre+Tadjik @ 8.778936
37 Karelia_EHG+Karelia_EHG+Jew_Morocco+Tadjik @ 8.779014
38 Karelia_EHG+Jew_Italia+Orcadian+Tadjik @ 8.780294
39 Karelia_EHG+Jew_Morocco+Norwegian_V+Tadjik @ 8.784549
40 Karelia_EHG+Karelia_EHG+Ashkenazim+Tadjik @ 8.785649
148897035 iterations.
Lots of ancient genomes.

Central/East Punjab (Jatt) and N India Brahmin:

Least-squares method.

Using 1 population approximation:
1 Tatar @ 33.221468
2 Chuvash @ 33.618816
3 Aleut @ 34.11694
4 Mari @ 34.371787
5 Udmurd @ 34.388788
6 Bashkir @ 35.755562
7 Tatar_Kryashen @ 35.968465
8 Mansi @ 36.069727
9 Komi @ 36.191926
10 Karelia_EHG @ 36.301833
11 Tatar_Lithuania @ 37.11377
12 Tartar_Mishar @ 37.895795
13 Colville @ 39.974317
14 Yamnaya @ 40.288464
15 Ste7 @ 42.671483
16 Miwok @ 42.81725
17 German @ 44.04235
18 Norwegian_V @ 44.351188
19 Mordovian @ 44.514902
20 Finnish @ 44.656378
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Ste7 @ 28.450851
2 Karelia_EHG+Miwok @ 28.828884
3 Karelia_EHG+Uzbek @ 29.795564
4 Karelia_EHG+Mexican @ 29.799574
5 Karelia_EHG+Bashkir @ 29.828541
6 Karelia_EHG+Costanoan @ 29.990026
7 Aleut+Udmurd @ 30.066858
8 Mari+Miwok @ 30.198235
9 Aleut+Bashkir @ 30.355077
10 Mari+Tsimsian @ 30.464223
11 Karelia_EHG+Puerto-Rican @ 30.469146
12 Karelia_EHG+Karakalpak @ 30.549511
13 Karelia_EHG+Hazara @ 30.609963
14 Tsimsian+Udmurd @ 30.623192
15 Aleut+Mari @ 30.631548
16 Karelia_EHG+Turkmen @ 30.712219
17 Karelia_EHG+Shor @ 30.718787
18 Miwok+Udmurd @ 30.737436
19 Karelia_EHG+Ashkenazim @ 30.820862
20 Karelia_EHG+Hakas @ 30.911412
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Miwok +25% Ste7 @ 26.899608
2 50% Karelia_EHG +25% Miwok +25% Shor @ 26.911988
3 50% Karelia_EHG +25% Hazara +25% Miwok @ 27.141018
4 50% Karelia_EHG +25% Ashkenazim +25% Shor @ 27.170987
5 50% Karelia_EHG +25% Miwok +25% Uzbek @ 27.195652
6 50% Karelia_EHG +25% Ashkenazim +25% Ste7 @ 27.196854
7 50% Karelia_EHG +25% Hakas +25% Miwok @ 27.229556
8 50% Karelia_EHG +25% Mexican +25% Shor @ 27.257928
9 50% Karelia_EHG +25% Puerto-Rican +25% Ste7 @ 27.313928
10 50% Karelia_EHG +25% Puerto-Rican +25% Shor @ 27.316306
11 50% Karelia_EHG +25% Mexican +25% Ste7 @ 27.341677
12 50% Karelia_EHG +25% Karakalpak +25% Miwok @ 27.386024
13 50% Karelia_EHG +25% Hazara +25% Mexican @ 27.386713
14 50% Karelia_EHG +25% Costanoan +25% Shor @ 27.390743
15 50% Karelia_EHG +25% Bashkir +25% Miwok @ 27.40776
16 50% Karelia_EHG +25% Miwok +25% Uygur @ 27.412976
17 50% Karelia_EHG +25% Mexican +25% Uzbek @ 27.417887
18 50% Karelia_EHG +25% Costanoan +25% Ste7 @ 27.432664
19 50% Karelia_EHG +25% Kazakh +25% Miwok @ 27.458891
20 50% Karelia_EHG +25% Ashkenazim +25% Hakas @ 27.480177
7174332 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Miwok+Ste7 @ 26.899608
2 Karelia_EHG+Karelia_EHG+Miwok+Shor @ 26.911988
3 Karelia_EHG+Karelia_EHG+Hazara+Miwok @ 27.141018
4 Karelia_EHG+Karelia_EHG+Ashkenazim+Shor @ 27.170987
5 Karelia_EHG+Karelia_EHG+Miwok+Uzbek @ 27.195652
6 Karelia_EHG+Karelia_EHG+Ashkenazim+Ste7 @ 27.196854
7 Karelia_EHG+Karelia_EHG+Hakas+Miwok @ 27.229556
8 Karelia_EHG+Karelia_EHG+Mexican+Shor @ 27.257928
9 Karelia_EHG+Karelia_EHG+Puerto-Rican+Ste7 @ 27.313928
10 Karelia_EHG+Karelia_EHG+Puerto-Rican+Shor @ 27.316306
11 Karelia_EHG+Karelia_EHG+Mexican+Ste7 @ 27.341677
12 Karelia_EHG+Karelia_EHG+Karakalpak+Miwok @ 27.386024
13 Karelia_EHG+Karelia_EHG+Hazara+Mexican @ 27.386713
14 Karelia_EHG+Karelia_EHG+Costanoan+Shor @ 27.390743
15 Karelia_EHG+Karelia_EHG+Bashkir+Miwok @ 27.40776
16 Karelia_EHG+Karelia_EHG+Miwok+Uygur @ 27.412976
17 Karelia_EHG+Karelia_EHG+Mexican+Uzbek @ 27.417887
18 Karelia_EHG+Karelia_EHG+Costanoan+Ste7 @ 27.432664
19 Karelia_EHG+Miwok+Ste7+Udmurd @ 27.451464
20 Karelia_EHG+Ste7+Tsimsian+Udmurd @ 27.452872
21 Karelia_EHG+Karelia_EHG+Kazakh+Miwok @ 27.458891
22 Karelia_EHG+Karelia_EHG+Ashkenazim+Hakas @ 27.480177
23 Karelia_EHG+Karelia_EHG+Hakas+Mexican @ 27.54211
24 Karelia_EHG+Karelia_EHG+Altaic+Miwok @ 27.555698
25 Karelia_EHG+Karelia_EHG+Miwok+Tadjik @ 27.567534
26 Karelia_EHG+Karelia_EHG+Miwok+Turkmen @ 27.571037
27 Karelia_EHG+Mari+Miwok+Ste7 @ 27.590698
28 Karelia_EHG+Karelia_EHG+Mexican+Tadjik @ 27.593714
29 Karelia_EHG+Karelia_EHG+Bashkir+Mexican @ 27.612515
30 Karelia_EHG+Karelia_EHG+Ste7+Tadjik @ 27.617469
31 Karelia_EHG+Karelia_EHG+Costanoan+Hakas @ 27.635077
32 Karelia_EHG+Karelia_EHG+Karakalpak+Mexican @ 27.641012
33 Karelia_EHG+Karelia_EHG+Mexican+Uygur @ 27.673338
34 Karelia_EHG+Karelia_EHG+Hazara+Puerto-Rican @ 27.679567
35 Karelia_EHG+Mari+Ste7+Tsimsian @ 27.696757
36 Karelia_EHG+Karelia_EHG+Ste7+Tsimsian @ 27.704985
37 Karelia_EHG+Karelia_EHG+Kyrgyz+Miwok @ 27.706754
38 Karelia_EHG+Haida+Ste7+Udmurd @ 27.725846
39 Karelia_EHG+Karelia_EHG+Italian-South+Ste7 @ 27.7304
40 Karelia_EHG+Karelia_EHG+Hakas+Puerto-Rican @ 27.73312
148897035 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tadjik @ 12.435269
2 Yamnaya @ 14.506718
3 Lak @ 16.489781
4 Uygur @ 16.858076
5 Hazara @ 16.97278
6 Hakas @ 17.188783
7 Shor @ 17.500427
8 Turkmen @ 17.507653
9 Uzbek @ 18.202947
10 Bashkir @ 18.242712
11 Tabassaran @ 18.332006
12 Lezgin @ 18.336182
13 Kazakh @ 18.427486
14 Karelia_EHG @ 18.516747
15 Tatar @ 18.686734
16 Karakalpak @ 18.888144
17 Mari @ 18.930621
18 Udmurd @ 19.189968
19 Altaic @ 19.441183
20 Ste7 @ 19.467789
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Tadjik @ 10.090528
2 Yamnaya+Tadjik @ 11.123205
3 Karelia_EHG+Turkmen @ 11.671339
4 Karelia_EHG+Miwok @ 11.769538
5 Karelia_EHG+Uzbek @ 11.834019
6 Karelia_EHG+Tabassaran @ 11.835124
7 Karelia_EHG+Lak @ 11.965266
8 Karelia_EHG+Jew_India @ 11.975803
9 Karelia_EHG+Kurd @ 12.06588
10 Karelia_EHG+Hazara @ 12.134302
11 Karelia_EHG+Lezgin @ 12.231813
12 Karelia_EHG+Azeri @ 12.270014
13 Miwok+Tadjik @ 12.300569
14 Yamnaya+Miwok @ 12.334679
15 Tadjik+Tadjik @ 12.435269
16 Aleut+Tadjik @ 12.449725
17 Karelia_EHG+French @ 12.467836
18 Karelia_EHG+Uygur @ 12.493676
19 Karelia_EHG+Iranian @ 12.533667
20 Karelia_EHG+Chechen @ 12.580906
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Tadjik +25% Tadjik @ 10.090528
2 50% Karelia_EHG +25% Makrani +25% Tadjik @ 10.380523
3 50% Tadjik +25% Karelia_EHG +25% Tadjik @ 10.400181
4 50% Tadjik +25% Yamnaya +25% Karelia_EHG @ 10.410303
5 50% Karelia_EHG +25% Kurd +25% Tadjik @ 10.423629
6 50% Karelia_EHG +25% Miwok +25% Tadjik @ 10.505715
7 50% Tadjik +25% Karelia_EHG +25% Norwegian_V @ 10.529163
8 50% Karelia_EHG +25% Tadjik +25% Turkmen @ 10.539398
9 50% Tadjik +25% Karelia_EHG +25% Orcadian @ 10.552812
10 50% Karelia_EHG +25% French +25% Tadjik @ 10.560083
11 50% Karelia_EHG +25% Portugese +25% Tadjik @ 10.570189
12 50% Karelia_EHG +25% Prov_al +25% Tadjik @ 10.60971
13 50% Karelia_EHG +25% Iberian +25% Tadjik @ 10.611771
14 50% Tadjik +25% Karelia_EHG +25% Miwok @ 10.613195
15 50% Tadjik +25% Karelia_EHG +25% Welsh @ 10.615785
16 50% Tadjik +25% Karelia_EHG +25% Swedish_V @ 10.624737
17 50% Karelia_EHG +25% Azeri +25% Tadjik @ 10.627624
18 50% Karelia_EHG +25% Tabassaran +25% Tadjik @ 10.648151
19 50% Tadjik +25% Karelia_EHG +25% French @ 10.664078
20 50% Karelia_EHG +25% Lezgin +25% Tadjik @ 10.671608
7174332 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Tadjik+Tadjik @ 10.090528
2 Karelia_EHG+Karelia_EHG+Makrani+Tadjik @ 10.380523
3 Karelia_EHG+Tadjik+Tadjik+Tadjik @ 10.400181
4 Yamnaya+Karelia_EHG+Tadjik+Tadjik @ 10.410303
5 Karelia_EHG+Karelia_EHG+Kurd+Tadjik @ 10.423629
6 Karelia_EHG+Karelia_EHG+Miwok+Tadjik @ 10.505715
7 Karelia_EHG+Norwegian_V+Tadjik+Tadjik @ 10.529163
8 Karelia_EHG+Karelia_EHG+Tadjik+Turkmen @ 10.539398
9 Karelia_EHG+Orcadian+Tadjik+Tadjik @ 10.552812
10 Karelia_EHG+Karelia_EHG+French+Tadjik @ 10.560083
11 Karelia_EHG+Karelia_EHG+Portugese+Tadjik @ 10.570189
12 Karelia_EHG+Karelia_EHG+Prov_al+Tadjik @ 10.60971
13 Karelia_EHG+Karelia_EHG+Iberian+Tadjik @ 10.611771
14 Karelia_EHG+Miwok+Tadjik+Tadjik @ 10.613195
15 Karelia_EHG+Tadjik+Tadjik+Welsh @ 10.615785
16 Karelia_EHG+Swedish_V+Tadjik+Tadjik @ 10.624737
17 Karelia_EHG+Karelia_EHG+Azeri+Tadjik @ 10.627624
18 Karelia_EHG+Karelia_EHG+Tabassaran+Tadjik @ 10.648151
19 Karelia_EHG+French+Tadjik+Tadjik @ 10.664078
20 Yamnaya+Karelia_EHG+Makrani+Tadjik @ 10.6646
21 Karelia_EHG+Karelia_EHG+Lezgin+Tadjik @ 10.671608
22 Karelia_EHG+Karelia_EHG+Jew_India+Tadjik @ 10.68238
23 Karelia_EHG+Karelia_EHG+Italian-North+Tadjik @ 10.682914
24 Karelia_EHG+Karelia_EHG+Iranian+Tadjik @ 10.684836
25 Karelia_EHG+Karelia_EHG+Lak+Tadjik @ 10.69064
26 Karelia_EHG+British+Tadjik+Tadjik @ 10.697905
27 Karelia_EHG+Karelia_EHG+Spaniard+Tadjik @ 10.702852
28 Karelia_EHG+Slovakian+Tadjik+Tadjik @ 10.707607
29 Karelia_EHG+Makrani+Norwegian_V+Tadjik @ 10.715293
30 Karelia_EHG+Karelia_EHG+Ashkenazim+Tadjik @ 10.715458
31 Karelia_EHG+Karelia_EHG+Austrian+Tadjik @ 10.71626
32 Karelia_EHG+Sorb+Tadjik+Tadjik @ 10.724719
33 Karelia_EHG+Austrian+Tadjik+Tadjik @ 10.725327
34 Karelia_EHG+CEU_V+Tadjik+Tadjik @ 10.730318
35 Karelia_EHG+Tadjik+Tadjik+Tatar_Kryashen @ 10.73351
36 Yamnaya+Karelia_EHG+Miwok+Tadjik @ 10.73466
37 Karelia_EHG+German_V+Tadjik+Tadjik @ 10.745622
38 Karelia_EHG+Makrani+Orcadian+Tadjik @ 10.746261
39 Karelia_EHG+Karelia_EHG+Tadjik+Uzbek @ 10.74955
40 Karelia_EHG+Karelia_EHG+Italian-South+Tadjik @ 10.753075
148897035 iterations.


West Punjab (Pahari), Sindh, etc (Pakistan area)


Least-squares method.

Using 1 population approximation:
1 Bashkir @ 37.676592
2 Tatar @ 37.693245
3 Udmurd @ 37.955627
4 Mari @ 38.308754
5 Chuvash @ 38.376389
6 Aleut @ 38.92023
7 Mansi @ 39.941474
8 Tatar_Lithuania @ 40.569611
9 Tatar_Kryashen @ 40.821712
10 Komi @ 41.522437
11 Karelia_EHG @ 42.11385
12 Ste7 @ 42.366921
13 Tartar_Mishar @ 42.910533
14 Colville @ 43.201517
15 Miwok @ 44.018141
16 Yamnaya @ 45.031757
17 Hakas @ 45.878534
18 Shor @ 46.150304
19 Tsimsian @ 47.208659
20 Mexican @ 47.416916
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Ste7 @ 32.005903
2 Karelia_EHG+Costanoan @ 32.860522
3 Mari+Miwok @ 33.27377
4 Karelia_EHG+Uzbek @ 33.289459
5 Karelia_EHG+Miwok @ 33.333484
6 Karelia_EHG+Ashkenazim @ 33.46958
7 Ste7+Udmurd @ 33.48321
8 Miwok+Udmurd @ 33.555184
9 Karelia_EHG+Mexican @ 33.70544
10 Karelia_EHG+Turkmen @ 33.751419
11 Karelia_EHG+Hazara @ 33.890974
12 Komi+Ste7 @ 33.915609
13 Mari+Ste7 @ 33.973931
14 Mansi+Ste7 @ 34.018722
15 Chuvash+Ste7 @ 34.117361
16 Aleut+Bashkir @ 34.166836
17 Mari+Mexican @ 34.210717
18 Karelia_EHG+Karakalpak @ 34.275301
19 Tsimsian+Udmurd @ 34.356792
20 Karelia_EHG+Shor @ 34.374848
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Mozabite +25% Shor @ 30.478986
2 50% Karelia_EHG +25% Ashkenazim +25% Ste7 @ 30.533194
3 50% Karelia_EHG +25% Moroccan +25% Shor @ 30.548917
4 50% Karelia_EHG +25% Egyptian +25% Shor @ 30.596046
5 50% Karelia_EHG +25% Hazara +25% Mozabite @ 30.682153
6 50% Karelia_EHG +25% Ashkenazim +25% Shor @ 30.698523
7 50% Karelia_EHG +25% Jew_Libya +25% Ste7 @ 30.746566
8 50% Karelia_EHG +25% Hazara +25% Moroccan @ 30.75265
9 50% Karelia_EHG +25% Mozabite +25% Ste7 @ 30.763657
10 50% Karelia_EHG +25% Egyptian +25% Ste7 @ 30.776638
11 50% Karelia_EHG +25% Jew_Libya +25% Shor @ 30.79499
12 50% Karelia_EHG +25% Jew_Algeria +25% Ste7 @ 30.81169
13 50% Karelia_EHG +25% Costanoan +25% Ste7 @ 30.825649
14 50% Karelia_EHG +25% Moroccan +25% Ste7 @ 30.851326
15 50% Karelia_EHG +25% Sephardim +25% Ste7 @ 30.861578
16 50% Karelia_EHG +25% Mozabite +25% Tadjik @ 30.862727
17 50% Karelia_EHG +25% Lebanese +25% Ste7 @ 30.872402
18 50% Karelia_EHG +25% Jew_Morocco +25% Ste7 @ 30.877741
19 50% Karelia_EHG +25% Jew_Tunisia +25% Ste7 @ 30.882499
20 50% Karelia_EHG +25% Egyptian +25% Hakas @ 30.89609
7174332 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Mozabite+Shor @ 30.478986
2 Karelia_EHG+Karelia_EHG+Ashkenazim+Ste7 @ 30.533194
3 Karelia_EHG+Karelia_EHG+Moroccan+Shor @ 30.548917
4 Karelia_EHG+Karelia_EHG+Egyptian+Shor @ 30.596046
5 Karelia_EHG+Karelia_EHG+Hazara+Mozabite @ 30.682153
6 Karelia_EHG+Karelia_EHG+Ashkenazim+Shor @ 30.698523
7 Karelia_EHG+Karelia_EHG+Jew_Libya+Ste7 @ 30.746566
8 Karelia_EHG+Karelia_EHG+Hazara+Moroccan @ 30.75265
9 Karelia_EHG+Karelia_EHG+Mozabite+Ste7 @ 30.763657
10 Karelia_EHG+Karelia_EHG+Egyptian+Ste7 @ 30.776638
11 Karelia_EHG+Karelia_EHG+Jew_Libya+Shor @ 30.79499
12 Karelia_EHG+Karelia_EHG+Jew_Algeria+Ste7 @ 30.81169
13 Karelia_EHG+Karelia_EHG+Costanoan+Ste7 @ 30.825649
14 Karelia_EHG+Miwok+Ste7+Udmurd @ 30.848444
15 Karelia_EHG+Karelia_EHG+Moroccan+Ste7 @ 30.851326
16 Karelia_EHG+Karelia_EHG+Sephardim+Ste7 @ 30.861578
17 Karelia_EHG+Karelia_EHG+Mozabite+Tadjik @ 30.862727
18 Karelia_EHG+Karelia_EHG+Lebanese+Ste7 @ 30.872402
19 Karelia_EHG+Karelia_EHG+Jew_Morocco+Ste7 @ 30.877741
20 Karelia_EHG+Karelia_EHG+Jew_Tunisia+Ste7 @ 30.882499
21 Karelia_EHG+Karelia_EHG+Egyptian+Hakas @ 30.89609
22 Karelia_EHG+Karelia_EHG+Shor+Yemen @ 30.897211
23 Karelia_EHG+Karelia_EHG+Hakas+Mozabite @ 30.902743
24 Karelia_EHG+Karelia_EHG+Jordanian+Ste7 @ 30.904751
25 Karelia_EHG+Karelia_EHG+Moroccan+Tadjik @ 30.914383
26 Karelia_EHG+Karelia_EHG+Palestinian+Ste7 @ 30.919347
27 Karelia_EHG+Karelia_EHG+Mozabite+Uzbek @ 30.925344
28 Karelia_EHG+Karelia_EHG+Jew_Italia+Ste7 @ 30.938373
29 Karelia_EHG+Karelia_EHG+Palestinian+Shor @ 30.942455
30 Karelia_EHG+Karelia_EHG+Bedouin+Shor @ 30.948075
31 Karelia_EHG+Karelia_EHG+Hakas+Moroccan @ 30.951052
32 Karelia_EHG+Karelia_EHG+Jew_Algeria+Shor @ 30.953999
33 Karelia_EHG+Karelia_EHG+Moroccan+Uzbek @ 30.956765
34 Karelia_EHG+Karelia_EHG+Jordanian+Shor @ 30.962858
35 Karelia_EHG+Karelia_EHG+Costanoan+Shor @ 30.975024
36 Karelia_EHG+Karelia_EHG+Jew_Tunisia+Shor @ 30.975931
37 Karelia_EHG+Karelia_EHG+Jew_Morocco+Shor @ 30.991498
38 Karelia_EHG+Karelia_EHG+Ste7+Yemen @ 30.998965
39 Karelia_EHG+Karelia_EHG+Jew_Syria+Ste7 @ 30.99952
40 Karelia_EHG+Karelia_EHG+Sephardim+Shor @ 31.014397
148897035 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tadjik @ 12.985717
2 Hazara @ 17.198894
3 Lak @ 17.248164
4 Turkmen @ 17.469563
5 Uygur @ 17.573167
6 Uzbek @ 18.14766
7 Tabassaran @ 18.580481
8 Lezgin @ 18.806848
9 Karakalpak @ 19.549097
10 Kazakh @ 19.599885
11 Bashkir @ 20.09924
12 Hakas @ 20.253871
13 Ste7 @ 20.258832
14 Tatar @ 20.319
15 Chechen @ 20.738848
16 Azeri @ 21.124056
17 Mari @ 21.196552
18 Yamnaya @ 21.20561
19 Kumyk @ 21.335389
20 Kyrgyz @ 21.681918
243 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Tadjik @ 12.148821
2 Karelia_EHG+Turkmen @ 12.779087
3 Yamnaya+Tadjik @ 12.891614
4 Tadjik+Tadjik @ 12.985717
5 Miwok+Tadjik @ 13.046174
6 Karelia_EHG+Kurd @ 13.051756
7 Karelia_EHG+Jew_India @ 13.062193
8 Yamnaya+Makrani @ 13.144155
9 Karelia_EHG+Makrani @ 13.17071
10 Karelia_EHG+Uzbek @ 13.237729
11 Karelia_EHG+Miwok @ 13.295884
12 Karelia_EHG+Azeri @ 13.351885
13 Yamnaya+Turkmen @ 13.507855
14 Karelia_EHG+Iranian @ 13.543254
15 Karelia_EHG+Tabassaran @ 13.659104
16 Karelia_EHG+Lezgin @ 13.70889
17 Yamnaya+Miwok @ 13.725747
18 Mexican+Tadjik @ 13.76279
19 Colville+Tadjik @ 13.76422
20 Tadjik+Tatar_Kryashen @ 13.795341
29646 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Kurd +25% Tadjik @ 11.391759
2 50% Karelia_EHG +25% Makrani +25% Tadjik @ 11.399401
3 50% Tadjik +25% Karelia_EHG +25% Makrani @ 11.545124
4 50% Tadjik +25% Karelia_EHG +25% Kurd @ 11.57121
5 50% Karelia_EHG +25% Iranian +25% Tadjik @ 11.61708
6 50% Tadjik +25% Karelia_EHG +25% Portugese @ 11.63781
7 50% Tadjik +25% Karelia_EHG +25% Ashkenazim @ 11.657783
8 50% Karelia_EHG +25% Azeri +25% Tadjik @ 11.660097
9 50% Karelia_EHG +25% Lebanese +25% Tadjik @ 11.673879
10 50% Tadjik +25% Karelia_EHG +25% Iberian @ 11.694838
11 50% Karelia_EHG +25% Iraqi +25% Tadjik @ 11.7003
12 50% Karelia_EHG +25% Tadjik +25% Turkmen @ 11.713408
13 50% Tadjik +25% Karelia_EHG +25% Ashkenazim_V @ 11.716439
14 50% Tadjik +25% Karelia_EHG +25% Turkmen @ 11.720361
15 50% Karelia_EHG +25% Ashkenazim +25% Tadjik @ 11.721141
16 50% Tadjik +25% Karelia_EHG +25% Iranian @ 11.739039
17 50% Tadjik +25% Karelia_EHG +25% Italian-North @ 11.748355
18 50% Tadjik +25% Karelia_EHG +25% Azeri @ 11.75506
19 50% Tadjik +25% Karelia_EHG +25% Italian-South @ 11.755406
20 50% Tadjik +25% Karelia_EHG +25% Lebanese @ 11.762061
7174332 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Kurd+Tadjik @ 11.391759
2 Karelia_EHG+Karelia_EHG+Makrani+Tadjik @ 11.399401
3 Karelia_EHG+Makrani+Tadjik+Tadjik @ 11.545124
4 Karelia_EHG+Kurd+Tadjik+Tadjik @ 11.57121
5 Karelia_EHG+Karelia_EHG+Iranian+Tadjik @ 11.61708
6 Yamnaya+Karelia_EHG+Makrani+Tadjik @ 11.629217
7 Karelia_EHG+Portugese+Tadjik+Tadjik @ 11.63781
8 Karelia_EHG+Ashkenazim+Tadjik+Tadjik @ 11.657783
9 Karelia_EHG+Karelia_EHG+Azeri+Tadjik @ 11.660097
10 Karelia_EHG+Karelia_EHG+Lebanese+Tadjik @ 11.673879
11 Yamnaya+Karelia_EHG+Kurd+Tadjik @ 11.692511
12 Karelia_EHG+Iberian+Tadjik+Tadjik @ 11.694838
13 Karelia_EHG+Karelia_EHG+Iraqi+Tadjik @ 11.7003
14 Karelia_EHG+Karelia_EHG+Tadjik+Turkmen @ 11.713408
15 Karelia_EHG+Ashkenazim_V+Tadjik+Tadjik @ 11.716439
16 Karelia_EHG+Tadjik+Tadjik+Turkmen @ 11.720361
17 Karelia_EHG+Karelia_EHG+Ashkenazim+Tadjik @ 11.721141
18 Karelia_EHG+Makrani+Norwegian_V+Tadjik @ 11.730648
19 Karelia_EHG+Iranian+Tadjik+Tadjik @ 11.739039
20 Karelia_EHG+Italian-North+Tadjik+Tadjik @ 11.748355
21 Karelia_EHG+Azeri+Tadjik+Tadjik @ 11.75506
22 Karelia_EHG+Italian-South+Tadjik+Tadjik @ 11.755406
23 Karelia_EHG+Makrani+Orcadian+Tadjik @ 11.760042
24 Karelia_EHG+Lebanese+Tadjik+Tadjik @ 11.762061
25 Karelia_EHG+Tadjik+Tadjik+Tadjik @ 11.770184
26 Karelia_EHG+Prov_al+Tadjik+Tadjik @ 11.783694
27 Karelia_EHG+Italian-Center+Tadjik+Tadjik @ 11.785925
28 Karelia_EHG+Karelia_EHG+Portugese+Tadjik @ 11.801013
29 Karelia_EHG+Miwok+Tadjik+Tadjik @ 11.803274
30 Karelia_EHG+Iraqi+Tadjik+Tadjik @ 11.811489
31 Karelia_EHG+Spaniard+Tadjik+Tadjik @ 11.82094
32 Karelia_EHG+Greek_South+Tadjik+Tadjik @ 11.837774
33 Karelia_EHG+Jew_Romania+Tadjik+Tadjik @ 11.846722
34 Karelia_EHG+Karelia_EHG+Italian-South+Tadjik @ 11.846951
35 Karelia_EHG+Makrani+Tadjik+Welsh @ 11.858082
36 Karelia_EHG+Karelia_EHG+Tadjik+Turk @ 11.859849
37 Karelia_EHG+Makrani+Swedish_V+Tadjik @ 11.869871
38 Karelia_EHG+Karelia_EHG+Jew_Kurd+Tadjik @ 11.872907
39 Karelia_EHG+Saudi+Tadjik+Tadjik @ 11.874685
40 Karelia_EHG+Jew_Syria+Tadjik+Tadjik @ 11.876202
148897035 iterations.

(Forgot to remove Makrani in the above)

Dr_McNinja
04-09-2015, 05:10 AM
South Indian Brahmin


Least-squares method.

Using 1 population approximation:
1 Udmurd @ 44.097311
2 Chuvash @ 44.158068
3 Tatar @ 44.278232
4 Mari @ 44.287451
5 Aleut @ 45.508602
6 Karelia_EHG @ 45.675525
7 Bashkir @ 45.974161
8 Komi @ 45.989294
9 Mansi @ 46.67207
10 Tatar_Kryashen @ 46.719688
11 Tatar_Lithuania @ 47.475857
12 Tartar_Mishar @ 47.841489
13 Yamnaya @ 47.917806
14 Ste7 @ 50.549604
15 Colville @ 51.347136
16 Finnish @ 51.550267
17 Finnish-South @ 51.908607
18 Karelian @ 52.285808
19 Inkeri @ 52.863267
20 Finnish-North @ 53.068498
242 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Ste7 @ 39.507843
2 Karelia_EHG+Uzbek @ 40.594543
3 Karelia_EHG+Tadjik @ 40.741775
4 Karelia_EHG+Hazara @ 40.902895
5 Karelia_EHG+Bashkir @ 41.128321
6 Karelia_EHG+Turkmen @ 41.360698
7 Karelia_EHG+Karakalpak @ 41.386843
8 Komi+Ste7 @ 41.543626
9 Karelia_EHG+Uygur @ 41.555565
10 Karelia_EHG+Miwok @ 41.578966
11 Karelia_EHG+Shor @ 41.683376
12 Aleut+Udmurd @ 41.695823
13 Yamnaya+Ste7 @ 41.739683
14 Finnish-South+Shor @ 41.861844
15 Ste7+Udmurd @ 41.87183
16 Karelia_EHG+Hakas @ 41.91175
17 Finnish+Shor @ 41.915821
18 Karelian+Shor @ 42.036625
19 Karelia_EHG+Kazakh @ 42.042408
20 Finnish-South+Ste7 @ 42.077807
29403 iterations.

Using 3 populations approximation:
1 50% Karelia_EHG +25% Ste7 +25% Tadjik @ 38.442981
2 50% Karelia_EHG +25% Ste7 +25% Uzbek @ 39.262622
3 50% Karelia_EHG +25% Ste7 +25% Turkmen @ 39.297676
4 50% Karelia_EHG +25% Miwok +25% Ste7 @ 39.346553
5 50% Karelia_EHG +25% Miwok +25% Tadjik @ 39.347816
6 50% Karelia_EHG +25% Hazara +25% Ste7 @ 39.349467
7 50% Karelia_EHG +25% Bra2 +25% Tadjik @ 39.385751
8 50% Karelia_EHG +25% Saami +25% Ste7 @ 39.396462
9 50% Karelia_EHG +25% Shor +25% Tadjik @ 39.402262
10 50% Karelia_EHG +25% Hazara +25% Miwok @ 39.414798
11 50% Karelia_EHG +25% Saami +25% Tadjik @ 39.415646
12 50% Karelia_EHG +25% Hakas +25% Tadjik @ 39.493975
13 50% Karelia_EHG +25% Ste7 +25% Ste7 @ 39.507843
14 50% Karelia_EHG +25% Bashkir +25% Ste7 @ 39.549307
15 50% Karelia_EHG +25% Mexican +25% Tadjik @ 39.583736
16 50% Karelia_EHG +25% Bra1 +25% Tadjik @ 39.591163
17 50% Karelia_EHG +25% Miwok +25% Uzbek @ 39.604634
18 50% Karelia_EHG +25% Saami +25% Uzbek @ 39.607264
19 50% Karelia_EHG +25% Ste7 +25% Udmurd @ 39.614618
20 50% Karelia_EHG +25% Hazara +25% Saami @ 39.617924
7086123 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Karelia_EHG+Ste7+Tadjik @ 38.442981
2 Karelia_EHG+Finnish-North+Ste7+Tadjik @ 38.750228
3 Karelia_EHG+Finnish-South+Ste7+Tadjik @ 38.910666
4 Karelia_EHG+Finnish-North+Shor+Tadjik @ 39.090645
5 Karelia_EHG+Finnish+Ste7+Tadjik @ 39.13417
6 Karelia_EHG+Karelian+Ste7+Tadjik @ 39.200302
7 Karelia_EHG+Finnish-South+Shor+Tadjik @ 39.243151
8 Karelia_EHG+Karelia_EHG+Ste7+Uzbek @ 39.262622
9 Karelia_EHG+Ste7+Tadjik+Vepsa @ 39.290004
10 Karelia_EHG+Finnish-North+Ste7+Udmurd @ 39.293889
11 Karelia_EHG+Karelia_EHG+Ste7+Turkmen @ 39.297676
12 Karelia_EHG+Karelia_EHG+Miwok+Ste7 @ 39.346553
13 Karelia_EHG+Karelia_EHG+Miwok+Tadjik @ 39.347816
14 Karelia_EHG+Karelia_EHG+Hazara+Ste7 @ 39.349467
15 Karelia_EHG+Bashkir+Finnish-North+Ste7 @ 39.377128
16 Karelia_EHG+Karelia_EHG+Bra2+Tadjik @ 39.385751
17 Karelia_EHG+Finnish-North+Hakas+Tadjik @ 39.388314
18 Karelia_EHG+Karelia_EHG+Saami+Ste7 @ 39.396462
19 Karelia_EHG+Karelia_EHG+Shor+Tadjik @ 39.402262
20 Karelia_EHG+Karelia_EHG+Hazara+Miwok @ 39.414798
21 Karelia_EHG+Karelia_EHG+Saami+Tadjik @ 39.415646
22 Karelia_EHG+Inkeri+Ste7+Tadjik @ 39.4295
23 Karelia_EHG+Mari+Ste7+Tadjik @ 39.457037
24 Karelia_EHG+Finnish-North+Miwok+Shor @ 39.467786
25 Karelia_EHG+Finnish+Shor+Tadjik @ 39.469903
26 Karelia_EHG+Ste7+Tadjik+Udmurd @ 39.475808
27 Karelia_EHG+Finnish-South+Ste7+Udmurd @ 39.491276
28 Karelia_EHG+Karelia_EHG+Hakas+Tadjik @ 39.493975
29 Karelia_EHG+Finnish-North+Shor+Ste7 @ 39.505362
30 Karelia_EHG+Karelia_EHG+Ste7+Ste7 @ 39.507843
31 Karelia_EHG+Komi+Ste7+Tadjik @ 39.526589
32 Karelia_EHG+Karelia_EHG+Bashkir+Ste7 @ 39.549307
33 Karelia_EHG+Finnish-South+Hakas+Tadjik @ 39.555314
34 Karelia_EHG+Karelian+Shor+Tadjik @ 39.569629
35 Yamnaya+Karelia_EHG+Saami+Ste7 @ 39.574216
36 Karelia_EHG+Bashkir+Finnish-South+Ste7 @ 39.576288
37 Karelia_EHG+Karelia_EHG+Mexican+Tadjik @ 39.583736
38 Karelia_EHG+Karelia_EHG+Bra1+Tadjik @ 39.591163
39 Karelia_EHG+Karelia_EHG+Miwok+Uzbek @ 39.604634
40 Karelia_EHG+Karelia_EHG+Saami+Uzbek @ 39.607264
146475945 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Tadjik @ 11.937146
2 Karelia_EHG @ 13.6867
3 Yamnaya @ 13.767787
4 Tabassaran @ 16.018182
5 Lak @ 16.101082
6 Hazara @ 16.375785
7 Uzbek @ 16.872405
8 Turkmen @ 17.126026
9 Shor @ 17.292203
10 Lezgin @ 17.600009
11 Uygur @ 18.066242
12 Udmurd @ 18.110647
13 Hakas @ 18.763106
14 Karakalpak @ 18.961221
15 Bashkir @ 18.972929
16 Norwegian_V @ 19.369161
17 Kazakh @ 19.437879
18 Orcadian @ 19.485861
19 Avar @ 19.805344
20 Chechen @ 20.023618
242 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Tadjik @ 11.34926
2 Yamnaya+Tadjik @ 11.710153
3 Tadjik+Tadjik @ 11.937146
4 Norwegian_V+Tadjik @ 12.476176
5 Orcadian+Tadjik @ 12.601793
6 Swedish_V+Tadjik @ 12.756976
7 Tadjik+Udmurd @ 12.77913
8 Tadjik+Welsh @ 12.834353
9 British+Tadjik @ 13.035945
10 Mari+Tadjik @ 13.132566
11 CEU+Tadjik @ 13.215649
12 Komi+Tadjik @ 13.252487
13 Karelia_EHG+Tabassaran @ 13.25689
14 Shor+Tadjik @ 13.278261
15 Tadjik+Tatar @ 13.33478
16 Chuvash+Tadjik @ 13.346534
17 Miwok+Tadjik @ 13.367096
18 Tabassaran+Tadjik @ 13.422344
19 Bashkir+Tadjik @ 13.451416
20 Karelia_EHG+Lak @ 13.454509
29403 iterations.

Using 3 populations approximation:
1 50% Tadjik +25% Karelia_EHG +25% Tadjik @ 11.282566
2 50% Karelia_EHG +25% Tadjik +25% Tadjik @ 11.34926
3 50% Tadjik +25% Yamnaya +25% Karelia_EHG @ 11.478046
4 50% Tadjik +25% Yamnaya +25% Tadjik @ 11.627281
5 50% Tadjik +25% Karelia_EHG +25% Norwegian_V @ 11.629498
6 50% Tadjik +25% Karelia_EHG +25% Orcadian @ 11.709487
7 50% Yamnaya +25% Tadjik +25% Tadjik @ 11.710153
8 50% Tadjik +25% Karelia_EHG +25% Swedish_V @ 11.77461
9 50% Tadjik +25% Karelia_EHG +25% Welsh @ 11.803651
10 50% Tadjik +25% Norwegian_V +25% Tadjik @ 11.866711
11 50% Tadjik +25% Karelia_EHG +25% British @ 11.91247
12 50% Tadjik +25% Yamnaya +25% Norwegian_V @ 11.914906
13 50% Tadjik +25% Swedish_V +25% Tadjik @ 11.932449
14 50% Karelia_EHG +25% Karelia_EHG +25% Tadjik @ 11.940912
15 50% Tadjik +25% Karelia_EHG +25% Udmurd @ 11.948982
16 50% Karelia_EHG +25% Yamnaya +25% Tadjik @ 11.960621
17 50% Tadjik +25% Orcadian +25% Tadjik @ 11.967706
18 50% Tadjik +25% Karelia_EHG +25% Tabassaran @ 11.993115
19 50% Tadjik +25% Karelia_EHG +25% CEU @ 11.995702
20 50% Tadjik +25% Yamnaya +25% Orcadian @ 12.006122
7086123 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Tadjik+Tadjik+Tadjik @ 11.282566
2 Karelia_EHG+Karelia_EHG+Tadjik+Tadjik @ 11.34926
3 Yamnaya+Karelia_EHG+Tadjik+Tadjik @ 11.478046
4 Yamnaya+Tadjik+Tadjik+Tadjik @ 11.627281
5 Karelia_EHG+Norwegian_V+Tadjik+Tadjik @ 11.629498
6 Karelia_EHG+Orcadian+Tadjik+Tadjik @ 11.709487
7 Yamnaya+Yamnaya+Tadjik+Tadjik @ 11.710153
8 Karelia_EHG+Swedish_V+Tadjik+Tadjik @ 11.77461
9 Karelia_EHG+Tadjik+Tadjik+Welsh @ 11.803651
10 Norwegian_V+Tadjik+Tadjik+Tadjik @ 11.866711
11 Karelia_EHG+British+Tadjik+Tadjik @ 11.91247
12 Yamnaya+Norwegian_V+Tadjik+Tadjik @ 11.914906
13 Swedish_V+Tadjik+Tadjik+Tadjik @ 11.932449
14 Tadjik+Tadjik+Tadjik+Tadjik @ 11.937146
15 Karelia_EHG+Karelia_EHG+Karelia_EHG+Tadjik @ 11.940912
16 Karelia_EHG+Tadjik+Tadjik+Udmurd @ 11.948982
17 Yamnaya+Karelia_EHG+Karelia_EHG+Tadjik @ 11.960621
18 Orcadian+Tadjik+Tadjik+Tadjik @ 11.967706
19 Karelia_EHG+Tabassaran+Tadjik+Tadjik @ 11.993115
20 Karelia_EHG+CEU+Tadjik+Tadjik @ 11.995702
21 Yamnaya+Orcadian+Tadjik+Tadjik @ 12.006122
22 Tadjik+Tadjik+Tadjik+Udmurd @ 12.007138
23 Yamnaya+Yamnaya+Karelia_EHG+Tadjik @ 12.021736
24 Karelia_EHG+Lak+Tadjik+Tadjik @ 12.046825
25 Yamnaya+Swedish_V+Tadjik+Tadjik @ 12.047044
26 Karelia_EHG+French+Tadjik+Tadjik @ 12.062806
27 Tadjik+Tadjik+Tadjik+Welsh @ 12.071637
28 Finnish+Tadjik+Tadjik+Tadjik @ 12.081478
29 Finnish-South+Tadjik+Tadjik+Tadjik @ 12.082886
30 Karelia_EHG+Miwok+Tadjik+Tadjik @ 12.088608
31 Mari+Tadjik+Tadjik+Tadjik @ 12.09703
32 Karelia_EHG+CEU_V+Tadjik+Tadjik @ 12.105137
33 Komi+Tadjik+Tadjik+Tadjik @ 12.107196
34 Yamnaya+Tadjik+Tadjik+Welsh @ 12.10993
35 Karelia_EHG+Hazara+Tadjik+Tadjik @ 12.112939
36 Karelian+Tadjik+Tadjik+Tadjik @ 12.11533
37 Karelia_EHG+Finnish+Tadjik+Tadjik @ 12.120379
38 Karelia_EHG+Finnish-South+Tadjik+Tadjik @ 12.122709
39 Karelia_EHG+Mari+Tadjik+Tadjik @ 12.122959
40 Finnish-North+Tadjik+Tadjik+Tadjik @ 12.12338
146475945 iterations.



S-Indian Brahmin with Kalash in West Asian:


Least-squares method.

Using 1 population approximation:
1 Tadjik @ 22.749381
2 Tabassaran @ 25.31759
3 Avar @ 25.961148
4 Lak @ 26.679954
5 Nogai @ 26.992832
6 Lezgin @ 28.002877
7 Kumyk @ 29.372987
8 Yamnaya @ 29.433979
9 Chechen @ 29.550338
10 Adygei @ 29.874624
11 Balkarian @ 30.217955
12 Cirkassian @ 30.569818
13 Kabardinian @ 30.973032
14 Turkmen @ 31.120599
15 NorthOssetian @ 32.300927
16 Tatar_Crim @ 32.982079
17 Georgian @ 34.124653
18 Ossetian @ 34.784274
19 Azeri @ 36.061188
20 Tatar @ 36.121964
242 iterations.

Using 2 populations approximation:
1 Yamnaya+Lak @ 13.620687
2 Yamnaya+Lezgin @ 13.814204
3 Yamnaya+Avar @ 14.067716
4 Yamnaya+Tabassaran @ 14.129687
5 Yamnaya+Chechen @ 14.945677
6 Avar+Udmurd @ 14.965873
7 Yamnaya+Ossetian @ 15.060174
8 Avar+Mari @ 15.140603
9 Yamnaya+NorthOssetian @ 15.267503
10 Karelia_EHG+Abhkasian @ 15.407156
11 Yamnaya+Kumyk @ 15.510479
12 Lak+Udmurd @ 15.707218
13 Lak+Mari @ 15.767998
14 Avar+Chuvash @ 15.788088
15 Tabassaran+Udmurd @ 15.915333
16 Yamnaya+Georgian @ 15.944891
17 Yamnaya+Tadjik @ 15.947659
18 Yamnaya+Adygei @ 15.984957
19 Yamnaya+Azeri @ 16.042092
20 Lezgin+Udmurd @ 16.095959
29403 iterations.

Using 3 populations approximation:
1 50% Avar +25% Yamnaya +25% Udmurd @ 12.256978
2 50% Avar +25% Yamnaya +25% Mari @ 12.387931
3 50% Avar +25% Karelia_EHG +25% Tadjik @ 12.420465
4 50% Lak +25% Yamnaya +25% Udmurd @ 12.466532
5 50% Lak +25% Yamnaya +25% Mari @ 12.528688
6 50% Lezgin +25% Yamnaya +25% Udmurd @ 12.816028
7 50% Lezgin +25% Yamnaya +25% Mari @ 12.844001
8 50% Tabassaran +25% Yamnaya +25% Udmurd @ 12.875071
9 50% Avar +25% Karelia_EHG +25% Avar @ 12.97592
10 50% Avar +25% Karelia_EHG +25% Tabassaran @ 12.993794
11 50% Tabassaran +25% Yamnaya +25% Mari @ 13.035657
12 50% Avar +25% Karelia_EHG +25% Lak @ 13.060119
13 50% Lak +25% Karelia_EHG +25% Tadjik @ 13.106435
14 50% Tabassaran +25% Karelia_EHG +25% Avar @ 13.111259
15 50% Tabassaran +25% Karelia_EHG +25% Tadjik @ 13.169254
16 50% Lak +25% Karelia_EHG +25% Avar @ 13.240461
17 50% Avar +25% Tadjik +25% Vepsa @ 13.281979
18 50% Avar +25% Karelia_EHG +25% Lezgin @ 13.297666
19 50% Tabassaran +25% Karelia_EHG +25% Tabassaran @ 13.325682
20 50% Tabassaran +25% Karelia_EHG +25% Lak @ 13.356914
5633577 iterations.

Using 4 populations approximation:
1 Yamnaya+Avar+Avar+Udmurd @ 12.256978
2 Yamnaya+Avar+Lak+Udmurd @ 12.310505
3 Yamnaya+Avar+Avar+Mari @ 12.387931
4 Yamnaya+Avar+Lak+Mari @ 12.407215
5 Karelia_EHG+Avar+Avar+Tadjik @ 12.420465
6 Yamnaya+Avar+Lezgin+Udmurd @ 12.446674
7 Yamnaya+Lak+Lak+Udmurd @ 12.466532
8 Yamnaya+Avar+Tabassaran+Udmurd @ 12.517961
9 Yamnaya+Avar+Lezgin+Mari @ 12.525663
10 Yamnaya+Lak+Lak+Mari @ 12.528688
11 Yamnaya+Lak+Lezgin+Udmurd @ 12.623775
12 Yamnaya+Lak+Tabassaran+Udmurd @ 12.6558
13 Yamnaya+Avar+Mari+Tabassaran @ 12.664654
14 Yamnaya+Lak+Lezgin+Mari @ 12.668677
15 Karelia_EHG+Avar+Lak+Tadjik @ 12.718013
16 Karelia_EHG+Avar+Tabassaran+Tadjik @ 12.74941
17 Yamnaya+Lak+Mari+Tabassaran @ 12.768184
18 Yamnaya+Lezgin+Tabassaran+Udmurd @ 12.804146
19 Yamnaya+Lezgin+Lezgin+Udmurd @ 12.816028
20 Yamnaya+Lezgin+Lezgin+Mari @ 12.844001
21 Yamnaya+Tabassaran+Tabassaran+Udmurd @ 12.875071
22 Yamnaya+Lezgin+Mari+Tabassaran @ 12.899049
23 Karelia_EHG+Avar+Lezgin+Tadjik @ 12.953051
24 Karelia_EHG+Avar+Avar+Avar @ 12.97592
25 Karelia_EHG+Avar+Avar+Tabassaran @ 12.993794
26 Yamnaya+Mari+Tabassaran+Tabassaran @ 13.035657
27 Karelia_EHG+Avar+Avar+Lak @ 13.060119
28 Karelia_EHG+Lak+Lak+Tadjik @ 13.106435
29 Karelia_EHG+Avar+Tabassaran+Tabassaran @ 13.111259
30 Karelia_EHG+Lak+Tabassaran+Tadjik @ 13.121825
31 Karelia_EHG+Avar+Lak+Tabassaran @ 13.160008
32 Karelia_EHG+Tabassaran+Tabassaran+Tadjik @ 13.169254
33 Yamnaya+Avar+Chechen+Udmurd @ 13.213333
34 Karelia_EHG+Avar+Lak+Lak @ 13.240461
35 Yamnaya+Avar+Ossetian+Udmurd @ 13.26847
36 Avar+Avar+Tadjik+Vepsa @ 13.281979
37 Yamnaya+Avar+Mari+Ossetian @ 13.292198
38 Karelia_EHG+Avar+Avar+Lezgin @ 13.297666
39 Yamnaya+Avar+Chechen+Mari @ 13.300955
40 Yamnaya+Karelia_EHG+Abhkasian+Avar @ 13.30976
70686109 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Lak @ 7.378121
2 Tadjik @ 7.569246
3 Tabassaran @ 8.277605
4 Lezgin @ 8.304689
5 Avar @ 8.426184
6 Yamnaya @ 8.47559
7 Chechen @ 9.269518
8 Nogai @ 9.430094
9 Tatar @ 9.771268
10 Cirkassian @ 9.956086
11 Balkarian @ 10.30744
12 Kumyk @ 10.335936
13 Bashkir @ 10.392695
14 Turkmen @ 10.520835
15 NorthOssetian @ 10.606015
16 Uzbek @ 10.665454
17 Karakalpak @ 10.792843
18 Hazara @ 10.99107
19 Tatar_Kryashen @ 11.251029
20 Uygur @ 11.278972
242 iterations.

Using 2 populations approximation:
1 Karelia_EHG+Lezgin @ 5.28063
2 Karelia_EHG+Lak @ 5.302245
3 Karelia_EHG+Georgian_Imereti @ 5.337789
4 Yamnaya+Lak @ 5.389062
5 Karelia_EHG+Abhkasian @ 5.418098
6 Karelia_EHG+Tabassaran @ 5.473646
7 Yamnaya+Lezgin @ 5.474719
8 Karelia_EHG+Georgian_Laz @ 5.549837
9 Yamnaya+Tabassaran @ 5.586448
10 Karelia_EHG+Georgian @ 5.626681
11 Karelia_EHG+Chechen @ 5.649805
12 Karelia_EHG+Ossetian @ 5.832306
13 Yamnaya+Chechen @ 5.840641
14 Karelia_EHG+Kurd @ 5.872613
15 Karelia_EHG+Armenian @ 5.8776
16 Karelia_EHG+Avar @ 5.952524
17 Karelia_EHG+NorthOssetian @ 6.003567
18 Karelia_EHG+Jew_Tat @ 6.006691
19 Yamnaya+Georgian @ 6.011363
20 Karelia_EHG+Adygei @ 6.021785
29403 iterations.

Using 3 populations approximation:
1 50% Georgian_Imereti +25% Karelia_EHG +25% Finnish-North @ 5.030628
2 50% Georgian_Imereti +25% Karelia_EHG +25% Finnish-South @ 5.056975
3 50% Lezgin +25% Karelia_EHG +25% Finnish-North @ 5.102209
4 50% Yamnaya +25% Karelia_EHG +25% Georgian_Imereti @ 5.115103
5 50% Yamnaya +25% Yamnaya +25% Georgian_Imereti @ 5.125418
6 50% Karelia_EHG +25% Georgian_Imereti +25% Lak @ 5.134702
7 50% Lak +25% Yamnaya +25% Karelia_EHG @ 5.147453
8 50% Lezgin +25% Karelia_EHG +25% Finnish-South @ 5.148486
9 50% Lezgin +25% Yamnaya +25% Karelia_EHG @ 5.164532
10 50% Georgian_Imereti +25% Karelia_EHG +25% Inkeri @ 5.16931
11 50% Georgian_Imereti +25% Karelia_EHG +25% Karelian @ 5.175565
12 50% Georgian_Imereti +25% Karelia_EHG +25% Vepsa @ 5.192555
13 50% Lak +25% Karelia_EHG +25% Finnish-North @ 5.194809
14 50% Georgian_Imereti +25% Karelia_EHG +25% Finnish @ 5.198044
15 50% Yamnaya +25% Yamnaya +25% Georgian_Laz @ 5.199272
16 50% Karelia_EHG +25% Avar +25% Georgian_Imereti @ 5.204625
17 50% Abhkasian +25% Karelia_EHG +25% Finnish-South @ 5.210727
18 50% Abhkasian +25% Karelia_EHG +25% Finnish-North @ 5.211862
19 50% Lak +25% Karelia_EHG +25% Finnish-South @ 5.217274
20 50% Yamnaya +25% Georgian_Imereti +25% Saami @ 5.222814
7086123 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Avar+Finnish-North+Georgian_Imereti @ 4.943296
2 Karelia_EHG+Finnish-North+Georgian_Imereti+Lak @ 4.952492
3 Karelia_EHG+Avar+Finnish-South+Georgian_Imereti @ 4.989828
4 Karelia_EHG+Finnish-South+Georgian_Imereti+Lak @ 4.993545
5 Karelia_EHG+Finnish-North+Georgian_Imereti+Lezgin @ 5.003958
6 Karelia_EHG+Finnish-North+Georgian_Imereti+Georgian_Imereti @ 5.030628
7 Karelia_EHG+Finnish-South+Georgian_Imereti+Lezgin @ 5.049515
8 Karelia_EHG+Finnish-South+Georgian_Imereti+Georgian_Imereti @ 5.056975
9 Karelia_EHG+Avar+Finnish-North+Georgian_Laz @ 5.063851
10 Karelia_EHG+Finnish-North+Georgian_Imereti+Tabassaran @ 5.071267
11 Karelia_EHG+Finnish-North+Georgian_Laz+Lak @ 5.082776
12 Karelia_EHG+Georgian_Imereti+Inkeri+Lak @ 5.097846
13 Karelia_EHG+Finnish-North+Lezgin+Lezgin @ 5.102209
14 Karelia_EHG+Avar+Georgian_Imereti+Inkeri @ 5.104224
15 Karelia_EHG+Avar+Finnish-South+Georgian_Laz @ 5.107552
16 Yamnaya+Yamnaya+Karelia_EHG+Georgian_Imereti @ 5.115103
17 Karelia_EHG+Finnish-South+Georgian_Imereti+Tabassaran @ 5.115844
18 Karelia_EHG+Avar+Finnish+Georgian_Imereti @ 5.117029
19 Karelia_EHG+Georgian_Imereti+Karelian+Lak @ 5.119154
20 Karelia_EHG+Finnish-South+Georgian_Laz+Lak @ 5.120626
21 Karelia_EHG+Avar+Georgian_Imereti+Karelian @ 5.120836
22 Karelia_EHG+Finnish-North+Lak+Lezgin @ 5.123109
23 Karelia_EHG+Finnish+Georgian_Imereti+Lak @ 5.124077
24 Yamnaya+Yamnaya+Yamnaya+Georgian_Imereti @ 5.125418
25 Yamnaya+Karelia_EHG+Lak+Lezgin @ 5.125609
26 Karelia_EHG+Georgian_Imereti+Lak+Vepsa @ 5.130858
27 Karelia_EHG+Abhkasian+Finnish-North+Lak @ 5.131607
28 Karelia_EHG+Abhkasian+Finnish-North+Georgian_Imereti @ 5.13197
29 Yamnaya+Karelia_EHG+Georgian_Imereti+Lak @ 5.132309
30 Karelia_EHG+Finnish-North+Georgian_Laz+Lezgin @ 5.132703
31 Karelia_EHG+Karelia_EHG+Georgian_Imereti+Lak @ 5.134702
32 Karelia_EHG+Avar+Georgian_Imereti+Vepsa @ 5.138559
33 Karelia_EHG+Abhkasian+Finnish-South+Georgian_Imereti @ 5.143036
34 Karelia_EHG+Abhkasian+Avar+Finnish-North @ 5.145046
35 Yamnaya+Karelia_EHG+Lak+Lak @ 5.147453
36 Karelia_EHG+Finnish-South+Lezgin+Lezgin @ 5.148486
37 Karelia_EHG+Finnish-North+Georgian_Imereti+Georgian_Laz @ 5.149393
38 Karelia_EHG+Abhkasian+Finnish-North+Lezgin @ 5.150558
39 Karelia_EHG+Abhkasian+Finnish-South+Lak @ 5.153275
40 Karelia_EHG+Georgian_Imereti+Inkeri+Lezgin @ 5.154216
146475945 iterations.




Iranian Baloch (who had 35% of this):


Least-squares method.

Using 1 population approximation:
1 Ashkenazim @ 34.986556
2 Jew_Morocco @ 36.104737
3 Jew_Libya @ 36.575513
4 Jew_Tunisia @ 36.963181
5 Jew_Italia @ 37.365197
6 Costanoan @ 37.470199
7 Ashkenazim_V @ 37.527503
8 Jew_Fre @ 37.552498
9 Egyptian @ 37.663173
10 Jew_Romania @ 37.780674
11 Mozabite @ 37.875915
12 Jew_Algeria @ 38.219634
13 Sephardim @ 38.281536
14 Sicilian @ 39.53229
15 Moroccan @ 40.050313
16 Palestinian @ 40.390246
17 Greek_South @ 40.568459
18 Jordanian @ 40.630031
19 Italian-South @ 40.674587
20 Bedouin @ 41.203948
242 iterations.

Using 2 populations approximation:
1 Portugese+Saudi @ 26.877828
2 Iberian+Saudi @ 26.950943
3 Saudi+Spaniard @ 27.162169
4 Orcadian+Saudi @ 27.28513
5 Bedouin+Portugese @ 27.322143
6 Bedouin+Iberian @ 27.508791
7 Colville+Jew_Yemen @ 27.509827
8 Norwegian_V+Saudi @ 27.531452
9 French+Saudi @ 27.535463
10 Colville+Saudi @ 27.566864
11 Bedouin+Colville @ 27.617846
12 Bedouin+Orcadian @ 27.728891
13 Bedouin+Spaniard @ 27.741874
14 Jew_Yemen+Norwegian_V @ 27.747297
15 Jew_Yemen+Orcadian @ 27.776386
16 Bedouin+Norwegian_V @ 27.820558
17 British+Saudi @ 27.887085
18 Saudi+Welsh @ 27.888452
19 Bedouin+French @ 27.922385
20 Puerto-Rican+Saudi @ 27.924516
29403 iterations.

Using 3 populations approximation:
1 50% Bedouin +25% Karelia_EHG +25% Otzi @ 23.692094
2 50% Saudi +25% Karelia_EHG +25% Otzi @ 23.7207
3 50% Saudi +25% Karelia_EHG +25% Sardinian @ 23.97971
4 50% Jew_Yemen +25% Karelia_EHG +25% Otzi @ 24.03437
5 50% Bedouin +25% Karelia_EHG +25% Sardinian @ 24.189089
6 50% Saudi +25% Mansi +25% Otzi @ 24.395761
7 50% Jew_Yemen +25% Karelia_EHG +25% Sardinian @ 24.445764
8 50% Saudi +25% Mansi +25% Sardinian @ 24.495257
9 50% Bedouin +25% Mansi +25% Otzi @ 24.495696
10 50% Bedouin +25% Mari +25% Otzi @ 24.672962
11 50% Saudi +25% Mari +25% Sardinian @ 24.701657
12 50% Saudi +25% Mari +25% Otzi @ 24.722655
13 50% Bedouin +25% Mansi +25% Sardinian @ 24.826304
14 50% Saudi +25% Komi +25% Otzi @ 24.878468
15 50% Bedouin +25% Mari +25% Sardinian @ 24.882907
16 50% Saudi +25% Basque +25% Mansi @ 24.895544
17 50% Mozabite +25% Karelia_EHG +25% Jew_Yemen @ 24.895652
18 50% Bedouin +25% Komi +25% Otzi @ 24.912073
19 50% Bedouin +25% Otzi +25% Udmurd @ 24.920012
20 50% Saudi +25% Sardinian +25% Udmurd @ 24.979251
7086029 iterations.

Using 4 populations approximation:
1 Karelia_EHG+Bedouin+Otzi+Saudi @ 23.628022
2 Karelia_EHG+Bedouin+Bedouin+Otzi @ 23.692094
3 Karelia_EHG+Bedouin+Jew_Yemen+Otzi @ 23.693011
4 Karelia_EHG+Otzi+Saudi+Saudi @ 23.7207
5 Karelia_EHG+Jew_Yemen+Otzi+Saudi @ 23.803807
6 Karelia_EHG+Mozabite+Otzi+Saudi @ 23.946578
7 Karelia_EHG+Sardinian+Saudi+Saudi @ 23.97971
8 Karelia_EHG+Bedouin+Sardinian+Saudi @ 24.007482
9 Karelia_EHG+Jew_Yemen+Jew_Yemen+Otzi @ 24.03437
10 Karelia_EHG+Jew_Yemen+Sardinian+Saudi @ 24.140648
11 Karelia_EHG+Jew_Yemen+Mozabite+Otzi @ 24.145903
12 Karelia_EHG+Bedouin+Jew_Yemen+Sardinian @ 24.150142
13 Karelia_EHG+Moroccan+Otzi+Saudi @ 24.179776
14 Karelia_EHG+Bedouin+Bedouin+Sardinian @ 24.189089
15 Karelia_EHG+Egyptian+Otzi+Saudi @ 24.237848
16 Karelia_EHG+Jew_Yemen+Moroccan+Otzi @ 24.257503
17 Karelia_EHG+Egyptian+Jew_Yemen+Otzi @ 24.310247
18 Bedouin+Mansi+Otzi+Saudi @ 24.369778
19 Mansi+Otzi+Saudi+Saudi @ 24.395761
20 Karelia_EHG+Jew_Yemen+Jew_Yemen+Sardinian @ 24.445764
21 Mansi+Sardinian+Saudi+Saudi @ 24.495257
22 Bedouin+Bedouin+Mansi+Otzi @ 24.495696
23 Karelia_EHG+Bedouin+Egyptian+Otzi @ 24.515699
24 Bedouin+Mansi+Sardinian+Saudi @ 24.586001
25 Bedouin+Jew_Yemen+Mansi+Otzi @ 24.602769
26 Karelia_EHG+Jew-Ethiopia+Jew_Yemen+Otzi @ 24.614677
27 Bedouin+Mari+Otzi+Saudi @ 24.622597
28 Jew_Yemen+Mansi+Otzi+Saudi @ 24.646248
29 Karelia_EHG+Jew_Ethiopia+Jew_Yemen+Otzi @ 24.646702
30 Karelia_EHG+Bedouin+Mozabite+Otzi @ 24.668834
31 Bedouin+Bedouin+Mari+Otzi @ 24.672962
32 Mari+Sardinian+Saudi+Saudi @ 24.701657
33 Bedouin+Mari+Sardinian+Saudi @ 24.717512
34 Mari+Otzi+Saudi+Saudi @ 24.722655
35 Bedouin+Jew_Yemen+Mari+Otzi @ 24.77345
36 Karelia_EHG+Ashkenazim+Jew_Yemen+Mozabite @ 24.784937
37 Mari+Mozabite+Otzi+Saudi @ 24.818163
38 Bedouin+Komi+Otzi+Saudi @ 24.820652
39 Jew_Yemen+Mansi+Sardinian+Saudi @ 24.821296
40 Bedouin+Bedouin+Mansi+Sardinian @ 24.826304
144904246 iterations.


Gaussian method.
Noise dispersion set to 0.22662

Using 1 population approximation:
1 Turkmen @ 11.878084
2 Azeri @ 11.959013
3 Iranian @ 12.279278
4 Kumyk @ 13.724303
5 Kurd @ 13.768265
6 Turk @ 13.972992
7 Iraqi @ 14.323611
8 Mexican @ 14.596496
9 Prov_al @ 14.663258
10 Uzbek @ 14.775483
11 Portugese @ 14.864635
12 Chechen @ 14.886757
13 Lezgin @ 14.888965
14 Tatar_Crim @ 15.423427
15 Nogai @ 15.928374
16 Ashkenazim_V @ 16.031796
17 Spaniard @ 16.323272
18 Iberian @ 16.389529
19 Jew-Uzbekistan @ 16.414705
20 Puerto-Rican @ 16.54485
242 iterations.

Using 2 populations approximation:
1 Mozabite+Tadjik @ 9.190551
2 Moroccan+Tadjik @ 9.253851
3 Jew_Yemen+Tadjik @ 9.372207
4 Samaritian+Tadjik @ 9.401578
5 Egyptian+Tadjik @ 9.506347
6 Saudi+Tadjik @ 9.529937
7 Bedouin+Tadjik @ 9.530115
8 Sephardim+Tadjik @ 9.579775
9 Jew_Libya+Tadjik @ 9.5857
10 Jew_Morocco+Tadjik @ 9.604992
11 Jew_Tunisia+Tadjik @ 9.612239
12 Jew_Syria+Tadjik @ 9.61679
13 Palestinian+Tadjik @ 9.620444
14 Jew_Italia+Tadjik @ 9.637893
15 Lebanese+Tadjik @ 9.647066
16 Jew_Algeria+Tadjik @ 9.661363
17 Jew_Fre+Tadjik @ 9.741927
18 Otzi+Tadjik @ 9.743485
19 Ashkenazim+Tadjik @ 9.743567
20 Karelia_EHG+Lebanese @ 9.785313
29403 iterations.

Using 3 populations approximation:
1 50% Tadjik +25% Sardinian +25% Saudi @ 8.9754
2 50% Tadjik +25% Portugese +25% Saudi @ 8.984315
3 50% Tadjik +25% Iberian +25% Saudi @ 9.001511
4 50% Tadjik +25% Jew_Yemen +25% Portugese @ 9.008371
5 50% Tadjik +25% Jew_Yemen +25% Orcadian @ 9.012588
6 50% Tadjik +25% Iberian +25% Jew_Yemen @ 9.027369
7 50% Tadjik +25% Jew_Yemen +25% Sardinian @ 9.0362
8 50% Tadjik +25% Orcadian +25% Saudi @ 9.053903
9 50% Tadjik +25% Jew_Yemen +25% Norwegian_V @ 9.066059
10 50% Tadjik +25% Otzi +25% Saudi @ 9.071961
11 50% Tadjik +25% Jew_Yemen +25% Welsh @ 9.079983
12 50% Tadjik +25% Mozabite +25% Saudi @ 9.0816
13 50% Tadjik +25% Saudi +25% Spaniard @ 9.086116
14 50% Tadjik +25% Jew_Yemen +25% Spaniard @ 9.103922
15 50% Tadjik +25% Basque +25% Saudi @ 9.112296
16 50% Tadjik +25% Italian-North +25% Saudi @ 9.116812
17 50% Tadjik +25% Prov_al +25% Saudi @ 9.117461
18 50% Tadjik +25% Norwegian_V +25% Saudi @ 9.119341
19 50% Tadjik +25% Saudi +25% Welsh @ 9.122908
20 50% Tadjik +25% British +25% Jew_Yemen @ 9.123992
7086123 iterations.

Using 4 populations approximation:
1 Sardinian+Saudi+Tadjik+Tadjik @ 8.9754
2 Portugese+Saudi+Tadjik+Tadjik @ 8.984315
3 Iberian+Saudi+Tadjik+Tadjik @ 9.001511
4 Jew_Yemen+Portugese+Tadjik+Tadjik @ 9.008371
5 Jew_Yemen+Orcadian+Tadjik+Tadjik @ 9.012588
6 Iberian+Jew_Yemen+Tadjik+Tadjik @ 9.027369
7 Karelia_EHG+Sardinian+Saudi+Tadjik @ 9.034511
8 Jew_Yemen+Sardinian+Tadjik+Tadjik @ 9.0362
9 Karelia_EHG+Portugese+Saudi+Tadjik @ 9.049197
10 Orcadian+Saudi+Tadjik+Tadjik @ 9.053903
11 Jew_Yemen+Norwegian_V+Tadjik+Tadjik @ 9.066059
12 Otzi+Saudi+Tadjik+Tadjik @ 9.071961
13 Karelia_EHG+Jew_Yemen+Orcadian+Tadjik @ 9.07281
14 Karelia_EHG+Iberian+Saudi+Tadjik @ 9.075663
15 Jew_Yemen+Tadjik+Tadjik+Welsh @ 9.079983
16 Mozabite+Saudi+Tadjik+Tadjik @ 9.0816
17 Saudi+Spaniard+Tadjik+Tadjik @ 9.086116
18 Karelia_EHG+Orcadian+Saudi+Tadjik @ 9.091546
19 Karelia_EHG+Otzi+Saudi+Tadjik @ 9.093996
20 Karelia_EHG+Mozabite+Saudi+Tadjik @ 9.094183
21 Jew_Yemen+Spaniard+Tadjik+Tadjik @ 9.103922
22 Karelia_EHG+Ashkenazim+Saudi+Tadjik @ 9.107505
23 Basque+Saudi+Tadjik+Tadjik @ 9.112296
24 Italian-North+Saudi+Tadjik+Tadjik @ 9.116812
25 Prov_al+Saudi+Tadjik+Tadjik @ 9.117461
26 Karelia_EHG+Jew_Yemen+Portugese+Tadjik @ 9.119239
27 Norwegian_V+Saudi+Tadjik+Tadjik @ 9.119341
28 Karelia_EHG+Saudi+Sephardim+Tadjik @ 9.121546
29 Saudi+Tadjik+Tadjik+Welsh @ 9.122908
30 British+Jew_Yemen+Tadjik+Tadjik @ 9.123992
31 Bedouin+Portugese+Tadjik+Tadjik @ 9.12413
32 French+Jew_Yemen+Tadjik+Tadjik @ 9.124204
33 Jew_Yemen+Prov_al+Tadjik+Tadjik @ 9.124234
34 Italian-North+Jew_Yemen+Tadjik+Tadjik @ 9.129155
35 Italian-South+Saudi+Tadjik+Tadjik @ 9.130943
36 Basque+Jew_Yemen+Tadjik+Tadjik @ 9.133234
37 Yamnaya+Sardinian+Saudi+Tadjik @ 9.134153
38 French+Saudi+Tadjik+Tadjik @ 9.136517
39 Jew_Yemen+Otzi+Tadjik+Tadjik @ 9.136588
40 Karelia_EHG+Italian-South+Saudi+Tadjik @ 9.137829
146475945 iterations.

Dr_McNinja
04-09-2015, 05:23 AM
Karelia_EHG:


Population
Pygmy -
West-Asian -
North-European-Mesolithic 7.79%
Indo-Tibetan -
Mesoamerican 2.78%
Arctic-Amerind -
South-America_Amerind -
Indian -
North-Siberean -
Atlantic_Mediterranean_Neolithic -
Samoedic 19.62%
Indo-Iranian 4.30%
East-Siberean -
North-East-European 56.19%
South-African -
North-Amerind 9.18%
Sub-Saharian 0.14%
East-South-Asian -
Near_East -
Melanesian -
Paleo-Siberian -
Austronesian -

Yamnaya:


Population
Pygmy -
West-Asian 23.45%
North-European-Mesolithic 7.55%
Indo-Tibetan -
Mesoamerican -
Arctic-Amerind -
South-America_Amerind -
Indian -
North-Siberean -
Atlantic_Mediterranean_Neolithic 1.85%
Samoedic 7.69%
Indo-Iranian 3.30%
East-Siberean -
North-East-European 52.70%
South-African 0.26%
North-Amerind 3.20%

Population
Pygmy -
West-Asian 22.05%
North-European-Mesolithic 3.33%
Indo-Tibetan -
Mesoamerican -
Arctic-Amerind 1.34%
South-America_Amerind 1.38%
Indian -
North-Siberean -
Atlantic_Mediterranean_Neolithic 3.04%
Samoedic 8.95%
Indo-Iranian 5.99%
East-Siberean -
North-East-European 52.63%
South-African 0.20%
North-Amerind 1.09%The "Samoedic" component in World22 really helps here.

Also the only reason this works is because there is no modern population or recovered ancient population, until Yamnaya, which even comes close to this missing group. And in fact the populations showing up as "noise", Caucasian, Northeast Europe, Siberia, etc are all descended partly from that group.

So what we might have treated as junk before turns out to be a little more useful, give or take a few percent.

If a Yamnaya cousin population extended all the way into western China, this is what it could have looked like. This could very well qualify as a candidate for the hypothetical group that brought R-Z93 from near Siberia/C-Asia. But the heavy leaning towards EHG doesn't rule out a scenario where diffusion could have occurred earlier than the spread of IE languages.

I bet if we got DNA data from BMAC or southeastern Andronovo, South Asians would get a lot of it.

Hector
04-09-2015, 05:44 AM
This whole "HA HA! UR FUNNY, I'VE GOT YOU RACISTS, AND EUROCENTRICS FIGURED OUT" schtick has really got to stop. Opposing viewpoints are welcome, but not consistent accusations of racism. By now, I've seen it one too many times when it hasn't had 1 iota of relevance to the topic.

I was going to ignore this since replying to this will result in another off-the-topic post. But then I realized that her post too is off the topic as well. I considered PMing instead but then realized that her post could have been as well. If she intended this as "a warning to all who do the same", I need likewise to respond for others to see as well.

I know many of these posters from other sites as well as now-long-gone DNA-forums. I see the veiled messages that she may not see. All the deleted racist replies to my comments at Dienekes' blog are testaments to that mind-set.

I also took a notice of her profile. That she is mixed is irrelevant of course but if her secondary message was something along the line of "Aha even someone with a partial non-European heritage(actually just "Korean" in the crass racist classification following the one drop rule) has a problem with your post", I would have to differ. That is because she is a female and Asian only in the maternal lineage. She does not fit the profile that the racism of this particular kind usually targets.

I am not suggesting that she necessarily intended it but there is no doubt that quite a few took it that way. That needed to be clarified.

Hando
04-09-2015, 09:51 AM
It is so ironic that people get so pumped up by their imagined ancestors even when those actually are not their ancestors.
I am quite confident that some R1a's in India are not from the "Aryan invasion" and even if R1a's origin were ultimately in the Ukrainian Steppes there would be no reason for Europeans to have their chests swell with pride because you cannot project the current racial identity that far back in time.

...Unless you guys all admit that the vast majority of northern Europeans are patrilineal descendants of probably negrito-looking SE Asians.
I really do not understand where all this anger is coming from. It's changed the dynamics of this forum from a pleasant to an unpleasant and ugly vibe.

Tomasso29
04-09-2015, 04:10 PM
I just had a thought the other day, we do know that R1b exists in South Asia, how does it compare to L657- in terms of numbers? I'm thinking they may be related in terms of migration.

Looking at this project there seems to be similar numbers of R1b and L657-:

https://www.familytreedna.com/public/India?iframe=yresults

parasar
04-09-2015, 04:24 PM
I just had a thought the other day, we do know that R1b exists in South Asia, how does it compare to L657- in terms of numbers? I'm thinking they may be related in terms of migration.

Looking at this project there seems to be similar numbers of R1b and L657-:

https://www.familytreedna.com/public/India?iframe=yresults

No comparison. R1a(xL657) is far more prevalent than R1b.
Your point may still be valid though perhaps at the R1a(xZ93) or R2(xM124) levels.

BMG
04-09-2015, 04:29 PM
https://www.familytreedna.com/public/India?iframe=yresults[/url]
R1b is too few and scattered and have branched pretty early . I think most of R1b are P25+ L389-
I don't see any possible relations with either of L657- lines . But could have come along with some Q lines though

Edit: Most of these R1a in the project haven't tested downstream SNP's so that's a premature observation .Surely there are many Z2123 much higher than R1b

Dr_McNinja
04-09-2015, 04:32 PM
There's more Z2124 than R1b almost for sure, there just aren't a lot of people getting tested there. There are several other R1a and South Asian project groups worth checking out on FTDNA.

Tomasso29
04-09-2015, 04:53 PM
There's more Z2124 than R1b almost for sure, there just aren't a lot of people getting tested there. There are several other R1a and South Asian project groups worth checking out on FTDNA.

Do you have any sources on the numbers of R1a-L657+/-? I'm really interested to see what the general picture look like so far. From what I see in the project it seems like the following:

8 Out of 23 tested are confirmed R1a-L657- (The majority have not tested for L657 unfortunately).
10 confirmed R1b (Likely all fall under L23).

Also for whatever it's worth, I can confirm that in the R2a project 35 out of 50 are R2a-L295+, this makes it 70% L295+ and 30% L295-. I can imagine that we will see a similar ratio between L657+/- but just wondering if anyone has any numbers.

BMG
04-09-2015, 05:11 PM
Do you have any sources on the numbers of R1a-L657+/-? I'm really interested to see what the general picture look like so far. From what I see in the project it seems like the following:

8 Out of 23 tested are confirmed R1a-L657- (The majority have not tested for L657 unfortunately).
10 confirmed R1b (Likely all fall under L23).

Also for whatever it's worth, I can confirm that in the R2a project 35 out of 50 are R2a-L295+, this makes it 70% L295+ and 30% L295-. I can imagine that we will see a similar ratio between L657+/- but just wondering if anyone has any numbers.

From 1000 genomes [email protected] yfull .it would give a fair idea

PJL (Punjabi from Lahore) L657-12 Z2125-2 Y40-2
STU (Srilankan Tamil) L657-9 Z2125-6
BEB(Bengali from Bangaldesh L657-7 Z2125-1 Y40-2
GIH(Gujrati) L657-13 Z2125-2 Y40-1
ITU (Telugu) L657-10 Z2125-6

Dr_McNinja
04-09-2015, 05:38 PM
Should've posted this earlier, this is the direct MDLP-World22 4-Ancestors Oracle for Punjabi Jatt Sikh (Sarao from Patiala). Default South Asian populations removed and Yamnaya/Karelia_EHG added. "HAP Baloch" is the HAP Baloch zombie on Gedmatch made by Everest59 and "South Asian" is just 100% World22 South Asian component (probably very similar to HAP S-Indian).

Least Squares Method

Using 4 populations approximation:
1 HAP_Baloch+Yamnaya+South_Asian+Ossetian @ 4.048996
2 HAP_Baloch+Yamnaya+Chechen+South_Asian @ 4.126197
3 HAP_Baloch+Yamnaya+South_Asian+NorthOssetian @ 4.140035
4 HAP_Baloch+Yamnaya+South_Asian+Lak @ 4.177736
5 HAP_Baloch+Yamnaya+South_Asian+Lezgin @ 4.254106
6 HAP_Baloch+Yamnaya+South_Asian+Tabassaran @ 4.305435
7 HAP_Baloch+Yamnaya+South_Asian+Kumyk @ 4.319053
8 HAP_Baloch+Yamnaya+South_Asian+Kabardinian @ 4.374535
9 HAP_Baloch+Yamnaya+Balkarian+South_Asian @ 4.440522
10 HAP_Baloch+Yamnaya+Adygei+South_Asian @ 4.649147
11 HAP_Baloch+Karelia_EHG+Abhkasian+South_Asian @ 4.681599
12 HAP_Baloch+Yamnaya+Georgian+South_Asian @ 4.683786
13 HAP_Baloch+Yamnaya+Cirkassian+South_Asian @ 4.713585
14 HAP_Baloch+Yamnaya+Avar+South_Asian @ 5.055919

Gaussian method.

Using 4 populations approximation:
1 HAP_Baloch+Yamnaya+South_Asian+Tabassaran @ 2.981373
2 HAP_Baloch+Yamnaya+Avar+South_Asian @ 3.07693
3 HAP_Baloch+Yamnaya+South_Asian+Lezgin @ 3.175912
4 HAP_Baloch+Yamnaya+South_Asian+Lak @ 3.263608
5 HAP_Baloch+Karelia_EHG+South_Asian+Tabassaran @ 3.322523
6 HAP_Baloch+Karelia_EHG+Avar+South_Asian @ 3.386887
7 HAP_Baloch+Karelia_EHG+South_Asian+Lezgin @ 3.468167
8 HAP_Baloch+Yamnaya+Chechen+South_Asian @ 3.556671
9 HAP_Baloch+Karelia_EHG+South_Asian+Lak @ 3.616943
10 HAP_Baloch+Karelia_EHG+Chechen+South_Asian @ 3.797011
11 HAP_Baloch+Yamnaya+South_Asian+Tadjik @ 3.839088
12 HAP_Baloch+Karelia_EHG+Georgian_Imereti+South_Asia n @ 3.999538
13 HAP_Baloch+Yamnaya+Georgian_Imereti+South_Asian @ 4.074961
14 HAP_Baloch+Karelia_EHG+Georgian_Laz+South_Asian @ 4.12531
15 HAP_Baloch+Yamnaya+Georgian_Laz+South_Asian @ 4.13007

(This is with using original results, did not move Kalash around or anything)

Tomasso29
04-09-2015, 05:49 PM
From 1000 genomes [email protected] yfull .it would give a fair idea

PJL (Punjabi from Lahore) L657-12 Z2125-2 Y40-2
STU (Srilankan Tamil) L657-9 Z2125-6
BEB(Bengali from Bangaldesh L657-7 Z2125-1 Y40-2
GIH(Gujrati) L657-13 Z2125-2 Y40-1
ITU (Telugu) L657-10 Z2125-6

So the stats look like this:

R1a-L657+ --> 51 (70%)
R1a-L657- --> 22 (30%)

This is exactly the same as our WTY R2a project in terms of L295+/-. Though on the 1000 Genome site it shows a ratio of 80% to 20% in favor of R2a-L295 but it's the same ballpark and the same correlation to L657+/-, very interesting.

Scarlet Ibis
04-09-2015, 05:53 PM
I was going to ignore this since replying to this will result in another off-the-topic post. But then I realized that her post too is off the topic as well. I considered PMing instead but then realized that her post could have been as well. If she intended this as "a warning to all who do the same", I need likewise to respond for others to see as well.

I know many of these posters from other sites as well as now-long-gone DNA-forums. I see the veiled messages that she may not see. All the deleted racist replies to my comments at Dienekes' blog are testaments to that mind-set.

I also took a notice of her profile. That she is mixed is irrelevant of course but if her secondary message was something along the line of "Aha even someone with a partial non-European heritage(actually just "Korean" in the crass racist classification following the one drop rule) has a problem with your post", I would have to differ. That is because she is a female and Asian only in the maternal lineage. She does not fit the profile that the racism of this particular kind usually targets.

I am not suggesting that she necessarily intended it but there is no doubt that quite a few took it that way. That needed to be clarified.


Thank you for your response in the 3rd person. But here's the thing. There was no secondary message. It wasn't intended that way on my behalf, nor do I really think anyone assumed it, and needed that 2am clarification except for your own ego.

I did not come marching in this thread to be a token admin who calls you out with the extra credibility of having East Asian ancestry. You're really not that special. What I said is exactly what I meant. There are other people who have been reminded, warned, and ultimately banned for running afoul of the forum rules, and it didn't take a staff member of a certain ancestry to see something was amiss, and to say something about it. So yes, you are correct: my mixed ancestry, and my X chromosome are irrelevant.

The fact is, "Hector," that I know nothing about who you are, or what your background is, nor do I care. I have not, by the way, even assumed you're Korean. You see, unlike some, I don't come to the table with the automatic assumption that the statements, interests, and comments from a person are necessarily us-or-them extensions of his ancestry. All I know about you is that you're some person who, ironically, while keen on studying the flags, and stated ethnicity on the online postbits of others, posts behind an anonymous screen name with no information about himself. You talk about Korea, yes, but over the years, I've seen guys with 100% European ancestry, and even African-Americans discuss nuanced minutiae about Korean history and genetics out of nothing more than an interest. Whatever you are or aren't is important. The only important thing for me to note here is that you've consistently disrupted threads by engaging in personal attacks (at least one absurd one against someone who doesn't post on any of these blogs where you apparently have your back-and-forths) in response to a perceived overarching threat. The response to you is no different than it has been towards the ones who have shown up before doing the same thing in response to anti-Italianism, anti-semitism, misogyny, "anti-white" agendas, or what have you. What I'm saying is that it has to stop. Like I said before, opposing viewpoints are welcome, but personal attacks, and toxic accusations of racism aren't. The Rules, and ToS are agreed to upon registration, so the matter is not up for discussion. Anymore OT discussion will be deleted, and further action taken as necessary.

Megalophias
04-10-2015, 01:03 AM
So the stats look like this:

R1a-L657+ --> 51 (70%)
R1a-L657- --> 22 (30%)

That agrees well with Underhill et al 2014, which has 68% R1a-M780(=L657) in the South Asian sample overall - although the sample was far from representative. The lowest R1a-L657 was in Central India, followed by North Pakistan, East India, and South India (very small sample sizes though, 5 R1a men each, except for North Pakistan with 14); the highest L657 (almost all R1a) was found in Nepal, Northeast India, and North India. North Pakistan and Central India were mostly and all Z2125, while East and South India had a lot of Z95(xZ2124, L657).

parasar
04-10-2015, 02:27 AM
So the stats look like this:

R1a-L657+ --> 51 (70%)
R1a-L657- --> 22 (30%)

This is exactly the same as our WTY R2a project in terms of L295+/-. Though on the 1000 Genome site it shows a ratio of 80% to 20% in favor of R2a-L295 but it's the same ballpark and the same correlation to L657+/-, very interesting.

Yes that looks possible, though in some regions and populations the proportions flip - say among Tamil Brahmans, northern Pakistan and Afghanistan.

BMG
04-10-2015, 02:30 AM
Do you have some sources that show what subclades of R1a tribal Indians carry?
I forgot .There was indeed three tribal samples from andhra in underhill et al 2014
2*Z2125
1*Z94x(L657,Z2125)

Dr_McNinja
04-10-2015, 02:50 AM
Similar idea to before, but using David's new K9 results

Me (17.82%)

Least-squares method.

Using 1 population approximation:
1 HungaryGamba_BA @ 17.555495
2 Neolithic_Hungary @ 17.95065
3 French @ 20.187781
4 English @ 20.809442
5 French_South @ 21.16325
6 Spanish_North @ 21.298808
7 Scottish @ 21.432963
8 Basque @ 21.712164
9 Norwegian @ 22.152615
10 Orcadian @ 22.629282
11 Icelandic @ 22.836862
12 Bell_Beaker_LN @ 22.987823
13 Hungarian @ 23.318429
14 Czech @ 23.350357
15 Spanish @ 24.278803
16 Croatian @ 24.283287
17 Serbian_Bosnia @ 25.258426
18 Ukrainian_Poltava @ 25.657163
19 Bosnian @ 26.056027
20 Ukrainian_Kharkov @ 26.403819
206 iterations.

Using 2 populations approximation:
1 Karelia_HG+Sardinian @ 9.029195
2 Esperstedt_MN+Karelia_HG @ 9.093777
3 Karelia_HG+Spain_MN @ 9.369536
4 Karelia_HG+Spain_EN @ 10.491649
5 Samara_HG+Sardinian @ 10.625976
6 Esperstedt_MN+Samara_HG @ 10.819623
7 Samara_HG+Spain_MN @ 11.268653
8 Karelia_HG+LBK_EN @ 11.321847
9 Samara_HG+Spain_EN @ 11.54417
10 Karelia_HG+Stuttgart @ 11.605215
11 LBK_EN+Samara_HG @ 12.211605
12 Samara_HG+Stuttgart @ 12.430388
13 Basque+Finnish @ 15.069452
14 Moroccan+Motala12 @ 15.123187
15 Finnish+French_South @ 15.596309
16 Finnish+Spanish_North @ 15.68977
17 Basque+Russian_Kargopol @ 15.727913
18 Basque+Karelia_HG @ 15.781545
19 Motala12+Tunisian @ 15.803595
20 Motala12+Stuttgart @ 15.885199
21321 iterations.

Using 3 populations approximation:
1 50% Neolithic_Hungary +25% Greenland +25% Neolithic_Hungary @ 7.770436
2 50% Neolithic_Hungary +25% Basque +25% Greenland @ 8.080402
3 50% Neolithic_Hungary +25% Greenland +25% Spanish_North @ 8.3841
4 50% Spain_MN +25% Greenland +25% Loschbour @ 8.404851
5 50% Neolithic_Hungary +25% French_South +25% Greenland @ 8.665688
6 50% Spain_MN +25% Greenland +25% Motala12 @ 8.975205
7 50% Karelia_HG +25% Sardinian +25% Sardinian @ 9.029195
8 50% Karelia_HG +25% Esperstedt_MN +25% Sardinian @ 9.046057
9 50% Karelia_HG +25% Sardinian +25% Spain_MN @ 9.050664
10 50% Esperstedt_MN +25% Karelia_HG +25% Karelia_HG @ 9.093777
11 50% Karelia_HG +25% Esperstedt_MN +25% Spain_MN @ 9.155927
12 50% Karelia_HG +25% Spain_EN +25% Spain_MN @ 9.170528
13 50% Neolithic_Hungary +25% Greenland +25% HungaryGamba_BA @ 9.219857
14 50% Karelia_HG +25% Spain_MN +25% Spain_MN @ 9.369536
15 50% Karelia_HG +25% LBK_EN +25% Spain_MN @ 9.382631
16 50% Karelia_HG +25% Spain_MN +25% Stuttgart @ 9.427364
17 50% Karelia_HG +25% Esperstedt_MN +25% Spain_EN @ 9.448594
18 50% Karelia_HG +25% Sardinian +25% Spain_EN @ 9.531055
19 50% Karelia_HG +25% Basque +25% Stuttgart @ 9.557432
20 50% Karelia_HG +25% Basque +25% LBK_EN @ 9.65919
2238860 iterations.

Using 4 populations approximation:
1 Greenland+Loschbour+Neolithic_Hungary+Stuttgart @ 7.413679
2 Greenland+LBK_EN+Loschbour+Neolithic_Hungary @ 7.454866
3 Basque+Esperstedt_MN+Greenland+Loschbour @ 7.477351
4 Basque+Greenland+Loschbour+Spain_MN @ 7.525263
5 Greenland+Loschbour+Neolithic_Hungary+Spain_EN @ 7.559791
6 Greenland+Motala12+Neolithic_Hungary+Stuttgart @ 7.652515
7 Greenland+LBK_EN+Motala12+Neolithic_Hungary @ 7.669187
8 Basque+Greenland+Loschbour+Sardinian @ 7.704084
9 Greenland+Motala12+Neolithic_Hungary+Spain_EN @ 7.722896
10 Basque+Greenland+Motala12+Spain_MN @ 7.748386
11 Esperstedt_MN+Greenland+Loschbour+Spanish_North @ 7.759102
12 Greenland+Neolithic_Hungary+Neolithic_Hungary+Neol ithic_Hungary @ 7.770436
13 Greenland+Loschbour+Spain_MN+Spanish_North @ 7.803923
14 Basque+Esperstedt_MN+Greenland+Motala12 @ 7.806141
15 Greenland+Loschbour+Sardinian+Spanish_North @ 7.993433
16 Esperstedt_MN+French_South+Greenland+Loschbour @ 8.002302
17 French_South+Greenland+Loschbour+Spain_MN @ 8.021444
18 Greenland+Motala12+Spain_MN+Spanish_North @ 8.049776
19 Basque+Greenland+Neolithic_Hungary+Neolithic_Hunga ry @ 8.080402
20 Basque+Greenland+Motala12+Sardinian @ 8.085897
21 Basque+Greenland+Loschbour+Spain_EN @ 8.094107
22 Esperstedt_MN+Greenland+Motala12+Spanish_North @ 8.106695
23 French_South+Greenland+Loschbour+Sardinian @ 8.251705
24 French_South+Greenland+Motala12+Spain_MN @ 8.303096
25 Basque+Greenland+LBK_EN+Loschbour @ 8.345633
26 Greenland+Loschbour+Spain_EN+Spanish_North @ 8.363243
27 Esperstedt_MN+French_South+Greenland+Motala12 @ 8.381636
28 Greenland+Neolithic_Hungary+Neolithic_Hungary+Span ish_North @ 8.3841
29 Greenland+Motala12+Sardinian+Spanish_North @ 8.39128
30 Esperstedt_MN+Greenland+Motala12+Neolithic_Hungary @ 8.401145
31 Greenland+Loschbour+Spain_MN+Spain_MN @ 8.404851
32 Greenland+Motala12+Neolithic_Hungary+Sardinian @ 8.415521
33 Greenland+Loschbour+Neolithic_Hungary+Sardinian @ 8.438178
34 Basque+Greenland+Loschbour+Stuttgart @ 8.452038
35 Esperstedt_MN+Greenland+Loschbour+Neolithic_Hungar y @ 8.48321
36 Greenland+LBK_EN+Loschbour+Spanish_North @ 8.613708
37 Basque+Greenland+Motala12+Spain_EN @ 8.626583
38 French_South+Greenland+Loschbour+Spain_EN @ 8.644302
39 French_South+Greenland+Neolithic_Hungary+Neolithic _Hungary @ 8.665688
40 French_South+Greenland+Motala12+Sardinian @ 8.678098
13464789 iterations.


Gaussian method.
Noise dispersion set to 0.584552

Using 1 population approximation:
1 Kostenki14 @ 15.45019
2 Mordovian @ 17.329397
3 Russian_Kargopol @ 17.396929
4 Finnish @ 17.983417
5 Chuvash @ 18.299446
6 Ukrainian_Poltava @ 18.479207
7 Norwegian @ 18.94468
8 Scottish @ 18.966316
9 Estonian @ 19.179899
10 Russian @ 19.843192
11 Erzya @ 19.875052
12 Moksha @ 20.065239
13 Hungarian @ 20.124632
14 Belarusian @ 20.663999
15 Bell_Beaker_LN @ 20.92736
16 Polish @ 20.981419
17 Icelandic @ 21.076403
18 Romanian @ 21.116431
19 Czech @ 21.37744
20 Serbian @ 21.669726
206 iterations.

Using 2 populations approximation:
1 Karelia_HG+Sardinian @ 9.178711
2 Karelia_HG+Spain_EN @ 9.426541
3 Esperstedt_MN+Karelia_HG @ 9.442655
4 Karelia_HG+Spain_MN @ 9.458744
5 Karelia_HG+LBK_EN @ 9.596135
6 Karelia_HG+Stuttgart @ 9.596972
7 Basque+Karelia_HG @ 10.198944
8 French_South+Karelia_HG @ 10.341068
9 Karelia_HG+Spanish_North @ 10.346726
10 Karelia_HG+Moroccan @ 10.543931
11 Karelia_HG+Spanish @ 10.595793
12 Algerian+Karelia_HG @ 10.617266
13 Karelia_HG+Tuscan @ 11.01375
14 East_Sicilian+Karelia_HG @ 11.017007
15 Karelia_HG+Maltese @ 11.056266
16 Bergamo+Karelia_HG @ 11.064634
17 Karelia_HG+Turkish_Jew @ 11.137209
18 Ashkenazi_Jew+Karelia_HG @ 11.161135
19 Greek+Karelia_HG @ 11.179943
20 Karelia_HG+Tunisian @ 11.200225
21321 iterations.

Using 3 populations approximation:
1 50% Spain_MN +25% Greenland +25% Loschbour @ 5.745558
2 50% Spain_MN +25% Greenland +25% Motala12 @ 5.911018
3 50% Neolithic_Hungary +25% Greenland +25% Neolithic_Hungary @ 5.933402
4 50% Esperstedt_MN +25% Greenland +25% Loschbour @ 5.966095
5 50% Esperstedt_MN +25% Greenland +25% Motala12 @ 6.151494
6 50% Neolithic_Hungary +25% Basque +25% Greenland @ 6.171469
7 50% Neolithic_Hungary +25% Greenland +25% Spain_MN @ 6.297963
8 50% Neolithic_Hungary +25% Greenland +25% Spanish_North @ 6.326013
9 50% Sardinian +25% Greenland +25% Loschbour @ 6.412681
10 50% Neolithic_Hungary +25% Esperstedt_MN +25% Greenland @ 6.450123
11 50% Neolithic_Hungary +25% French_South +25% Greenland @ 6.556455
12 50% Basque +25% Greenland +25% Loschbour @ 6.59697
13 50% Sardinian +25% Greenland +25% Motala12 @ 6.599995
14 50% Basque +25% Greenland +25% Motala12 @ 6.659058
15 50% Neolithic_Hungary +25% Greenland +25% Sardinian @ 6.663047
16 50% Basque +25% Greenland +25% Neolithic_Hungary @ 6.698401
17 50% Neolithic_Hungary +25% Greenland +25% HungaryGamba_BA @ 6.750061
18 50% Spain_EN +25% Greenland +25% Loschbour @ 6.796784
19 50% Neolithic_Hungary +25% Greenland +25% Spain_EN @ 6.840073
20 50% Spanish_North +25% Greenland +25% Loschbour @ 6.90487
4370805 iterations.

Using 4 populations approximation:
1 Greenland+Loschbour+Spain_MN+Spain_MN @ 5.745558
2 Greenland+Loschbour+Neolithic_Hungary+Stuttgart @ 5.767735
3 Greenland+Loschbour+Neolithic_Hungary+Spain_EN @ 5.782
4 Greenland+LBK_EN+Loschbour+Neolithic_Hungary @ 5.784448
5 Esperstedt_MN+Greenland+Loschbour+Spain_MN @ 5.845235
6 Esperstedt_MN+Greenland+Loschbour+Neolithic_Hungar y @ 5.894086
7 Greenland+Motala12+Neolithic_Hungary+Stuttgart @ 5.898585
8 Greenland+Motala12+Neolithic_Hungary+Spain_EN @ 5.90949
9 Greenland+LBK_EN+Motala12+Neolithic_Hungary @ 5.910747
10 Greenland+Motala12+Spain_MN+Spain_MN @ 5.911018
11 Greenland+Neolithic_Hungary+Neolithic_Hungary+Neol ithic_Hungary @ 5.933402
12 Basque+Esperstedt_MN+Greenland+Loschbour @ 5.943128
13 Basque+Greenland+Loschbour+Spain_MN @ 5.953155
14 Esperstedt_MN+Esperstedt_MN+Greenland+Loschbour @ 5.966095
15 Esperstedt_MN+Greenland+Motala12+Neolithic_Hungary @ 5.979721
16 Greenland+Loschbour+Neolithic_Hungary+Spain_MN @ 6.005917
17 Esperstedt_MN+Greenland+Motala12+Spain_MN @ 6.02103
18 Basque+Greenland+Loschbour+Spain_EN @ 6.043858
19 Greenland+Loschbour+Neolithic_Hungary+Sardinian @ 6.048809
20 Basque+Greenland+Motala12+Spain_MN @ 6.066743
21 Basque+Esperstedt_MN+Greenland+Motala12 @ 6.069144
22 Greenland+Loschbour+Sardinian+Spain_MN @ 6.071896
23 Greenland+Motala12+Neolithic_Hungary+Spain_MN @ 6.078
24 Basque+Greenland+LBK_EN+Loschbour @ 6.096377
25 Basque+Greenland+Loschbour+Stuttgart @ 6.100496
26 Basque+Greenland+Loschbour+Sardinian @ 6.113908
27 Esperstedt_MN+Greenland+Loschbour+Spanish_North @ 6.12532
28 Greenland+Loschbour+Spain_MN+Spanish_North @ 6.13578
29 Greenland+Motala12+Neolithic_Hungary+Sardinian @ 6.137937
30 Esperstedt_MN+Esperstedt_MN+Greenland+Motala12 @ 6.151494
31 Greenland+Loschbour+Spain_EN+Spain_MN @ 6.171437
32 Basque+Greenland+Neolithic_Hungary+Neolithic_Hunga ry @ 6.171469
33 Esperstedt_MN+Greenland+Loschbour+Sardinian @ 6.196189
34 Basque+Greenland+Motala12+Spain_EN @ 6.20946
35 Greenland+Loschbour+Spain_EN+Spanish_North @ 6.222122
36 Basque+Greenland+Motala12+Sardinian @ 6.242882
37 Greenland+Motala12+Sardinian+Spain_MN @ 6.248595
38 Greenland+Motala12+Spain_MN+Spanish_North @ 6.249542
39 Esperstedt_MN+Greenland+Motala12+Spanish_North @ 6.251159
40 Basque+Greenland+LBK_EN+Motala12 @ 6.258145
71794392 iterations.



HRP0393 Haryana Jatt (21.91%):


Least-squares method.

Using 1 population approximation:
1 Samara_HG @ 20.035013
2 Karelia_HG @ 20.133471
3 Estonian @ 23.468823
4 Lithuanian @ 23.678837
5 Finnish @ 24.970914
6 Motala12 @ 25.178102
7 Bell_Beaker_LN @ 28.234944
8 Neolithic_Hungary @ 28.730003
9 Loschbour @ 28.824854
10 Polish @ 29.254376
11 Belarusian @ 29.342246
12 Russian_Kargopol @ 29.605862
13 Icelandic @ 29.820439
14 Norwegian @ 30.075982
15 Russian @ 30.750997
16 Ukrainian_Kharkov @ 30.988129
17 Erzya @ 31.381644
18 Orcadian @ 31.635839
19 Scottish @ 32.29351
20 Moksha @ 32.312059
206 iterations.

Using 2 populations approximation:
1 Motala12+Neolithic_Hungary @ 9.191338
2 HungaryGamba_BA+Motala12 @ 10.332923
3 Loschbour+Neolithic_Hungary @ 10.787092
4 Motala12+Norwegian @ 10.80872
5 Bell_Beaker_LN+Motala12 @ 10.905151
6 Motala12+Scottish @ 10.939798
7 HungaryGamba_BA+Loschbour @ 11.044838
8 Icelandic+Motala12 @ 11.069674
9 English+Motala12 @ 11.187619
10 Motala12+Orcadian @ 11.290597
11 Loschbour+Scottish @ 11.637724
12 Loschbour+Norwegian @ 11.666498
13 Neolithic_Hungary+Samara_HG @ 11.710801
14 English+Loschbour @ 11.763684
15 Bell_Beaker_LN+Loschbour @ 11.886632
16 Icelandic+Loschbour @ 11.973065
17 Czech+Motala12 @ 12.001807
18 Loschbour+Orcadian @ 12.045052
19 Karelia_HG+Neolithic_Hungary @ 12.068634
20 Finnish+Motala12 @ 12.126153
21321 iterations.

Using 3 populations approximation:
1 50% Motala12 +25% Karelia_HG +25% Spain_MN @ 6.038187
2 50% Motala12 +25% Basque +25% Karelia_HG @ 6.114188
3 50% Motala12 +25% French_South +25% Karelia_HG @ 6.346873
4 50% Motala12 +25% Karelia_HG +25% Spanish_North @ 6.40778
5 50% Loschbour +25% Karelia_HG +25% Spain_MN @ 6.552588
6 50% Motala12 +25% Samara_HG +25% Spain_MN @ 6.583421
7 50% Motala12 +25% Esperstedt_MN +25% Karelia_HG @ 6.643356
8 50% Motala12 +25% Karelia_HG +25% Sardinian @ 6.88206
9 50% Loschbour +25% Esperstedt_MN +25% Karelia_HG @ 6.883063
10 50% Loschbour +25% Karelia_HG +25% Sardinian @ 6.971198
11 50% Motala12 +25% Basque +25% Samara_HG @ 7.014487
12 50% Motala12 +25% Esperstedt_MN +25% Samara_HG @ 7.057563
13 50% Motala12 +25% Karelia_HG +25% Spanish @ 7.08645
14 50% Motala12 +25% French_South +25% Samara_HG @ 7.179208
15 50% Motala12 +25% Samara_HG +25% Sardinian @ 7.231331
16 50% Motala12 +25% Samara_HG +25% Spanish_North @ 7.276743
17 50% Loschbour +25% Samara_HG +25% Spain_MN @ 7.37366
18 50% Karelia_HG +25% Basque +25% Loschbour @ 7.505956
19 50% Loschbour +25% Basque +25% Karelia_HG @ 7.541203
20 50% Loschbour +25% French_South +25% Karelia_HG @ 7.575578
2237555 iterations.

Using 4 populations approximation:
1 Karelia_HG+Motala12+Motala12+Spain_MN @ 6.038187
2 Basque+Karelia_HG+Motala12+Motala12 @ 6.114188
3 Karelia_HG+Loschbour+Motala12+Spain_MN @ 6.184713
4 French_South+Karelia_HG+Motala12+Motala12 @ 6.346873
5 Karelia_HG+Motala12+Motala12+Spanish_North @ 6.40778
6 Karelia_HG+Loschbour+Loschbour+Spain_MN @ 6.552588
7 Motala12+Motala12+Samara_HG+Spain_MN @ 6.583421
8 Esperstedt_MN+Karelia_HG+Motala12+Motala12 @ 6.643356
9 Esperstedt_MN+Karelia_HG+Loschbour+Motala12 @ 6.656424
10 Basque+Karelia_HG+Loschbour+Motala12 @ 6.758634
11 Karelia_HG+Loschbour+Motala12+Sardinian @ 6.821495
12 Karelia_HG+Motala12+Motala12+Sardinian @ 6.88206
13 Esperstedt_MN+Karelia_HG+Loschbour+Loschbour @ 6.883063
14 French_South+Karelia_HG+Loschbour+Motala12 @ 6.883946
15 Loschbour+Motala12+Samara_HG+Spain_MN @ 6.885402
16 Karelia_HG+Loschbour+Loschbour+Sardinian @ 6.971198
17 Karelia_HG+Loschbour+Motala12+Spanish_North @ 6.990401
18 Basque+Motala12+Motala12+Samara_HG @ 7.014487
19 Esperstedt_MN+Motala12+Motala12+Samara_HG @ 7.057563
20 Karelia_HG+Motala12+Motala12+Spanish @ 7.08645
21 French_South+Motala12+Motala12+Samara_HG @ 7.179208
22 Esperstedt_MN+Loschbour+Motala12+Samara_HG @ 7.229063
23 Motala12+Motala12+Samara_HG+Sardinian @ 7.231331
24 Motala12+Motala12+Samara_HG+Spanish_North @ 7.276743
25 Loschbour+Motala12+Samara_HG+Sardinian @ 7.330658
26 Loschbour+Loschbour+Samara_HG+Spain_MN @ 7.37366
27 Karelia_HG+Loschbour+Motala12+Spanish @ 7.379037
28 Basque+Karelia_HG+Karelia_HG+Loschbour @ 7.505956
29 Basque+Karelia_HG+Loschbour+Loschbour @ 7.541203
30 French_South+Karelia_HG+Loschbour+Loschbour @ 7.575578
31 Esperstedt_MN+Loschbour+Loschbour+Samara_HG @ 7.589749
32 Loschbour+Loschbour+Samara_HG+Sardinian @ 7.621006
33 Basque+Karelia_HG+Loschbour+Samara_HG @ 7.717264
34 Karelia_HG+Loschbour+Loschbour+Spanish_North @ 7.717935
35 Basque+Loschbour+Motala12+Samara_HG @ 7.731444
36 Motala12+Motala12+Samara_HG+Spanish @ 7.768703
37 French_South+Loschbour+Motala12+Samara_HG @ 7.805338
38 Karelia_HG+Loschbour+Loschbour+Spanish @ 7.847124
39 Basque+Karelia_HG+Karelia_HG+Motala12 @ 7.939102
40 Loschbour+Motala12+Samara_HG+Spanish_North @ 7.939357
13429025 iterations.


Gaussian method.
Noise dispersion set to 0.584552

Using 1 population approximation:
1 Finnish @ 11.245159
2 Estonian @ 11.378291
3 Russian_Kargopol @ 11.667139
4 Mordovian @ 12.067048
5 Erzya @ 12.827277
6 Saami_WGA @ 12.905492
7 Ukrainian_Poltava @ 12.925923
8 Norwegian @ 12.935726
9 Russian @ 13.005284
10 Moksha @ 13.219992
11 Belarusian @ 13.311135
12 Scottish @ 13.408644
13 Polish @ 13.504568
14 Chuvash @ 13.817849
15 Icelandic @ 13.954616
16 Bell_Beaker_LN @ 14.148618
17 Ukrainian @ 14.39971
18 Hungarian @ 14.666779
19 Czech @ 14.717281
20 Orcadian @ 14.874239
206 iterations.

Using 2 populations approximation:
1 Karelia_HG+Neolithic_Hungary @ 7.295481
2 Finnish+Samara_HG @ 7.763167
3 Finnish+Karelia_HG @ 7.862311
4 Estonian+Karelia_HG @ 7.980897
5 Karelia_HG+Norwegian @ 8.037059
6 Finnish+Motala12 @ 8.115037
7 Estonian+Samara_HG @ 8.211445
8 Russian_Kargopol+Samara_HG @ 8.253018
9 Icelandic+Karelia_HG @ 8.278126
10 HungaryGamba_BA+Karelia_HG @ 8.291408
11 Karelia_HG+Scottish @ 8.315416
12 Motala12+Russian_Kargopol @ 8.325358
13 Karelia_HG+Lithuanian @ 8.335843
14 Karelia_HG+Ukrainian_Poltava @ 8.36725
15 Karelia_HG+Russian_Kargopol @ 8.37693
16 Karelia_HG+Polish @ 8.382566
17 Karelia_HG+Russian @ 8.397121
18 Belarusian+Karelia_HG @ 8.404464
19 Moksha+Samara_HG @ 8.44175
20 Karelia_HG+Ukrainian_Lviv @ 8.48293
21321 iterations.

Using 3 populations approximation:
1 50% Loschbour +25% Greenland +25% Neolithic_Hungary @ 6.630146
2 50% Samara_HG +25% Finnish +25% Neolithic_Hungary @ 6.64944
3 50% Karelia_HG +25% Finnish +25% Neolithic_Hungary @ 6.661534
4 50% Karelia_HG +25% Basque +25% Loschbour @ 6.860882
5 50% Loschbour +25% Basque +25% Greenland @ 6.882631
6 50% Samara_HG +25% Neolithic_Hungary +25% Russian_Kargopol @ 6.909962
7 50% Karelia_HG +25% Loschbour +25% Spanish_North @ 6.937639
8 50% Karelia_HG +25% Neolithic_Hungary +25% Russian_Kargopol @ 6.941814
9 50% Samara_HG +25% Neolithic_Hungary +25% Saami_WGA @ 6.943181
10 50% Karelia_HG +25% Loschbour +25% Neolithic_Hungary @ 6.974006
11 50% Karelia_HG +25% Loschbour +25% Spain_MN @ 6.990733
12 50% Karelia_HG +25% French_South +25% Loschbour @ 7.00893
13 50% Loschbour +25% Greenland +25% Spanish_North @ 7.012523
14 50% Samara_HG +25% Erzya +25% Neolithic_Hungary @ 7.02374
15 50% Karelia_HG +25% Basque +25% Motala12 @ 7.031592
16 50% Karelia_HG +25% Erzya +25% Neolithic_Hungary @ 7.059712
17 50% Karelia_HG +25% Esperstedt_MN +25% Loschbour @ 7.09092
18 50% Karelia_HG +25% Motala12 +25% Neolithic_Hungary @ 7.106395
19 50% Motala12 +25% Greenland +25% Neolithic_Hungary @ 7.108232
20 50% Karelia_HG +25% Motala12 +25% Spanish_North @ 7.109305
4370805 iterations.

Using 4 populations approximation:
1 Finnish+Karelia_HG+Loschbour+Neolithic_Hungary @ 6.040895
2 Finnish+Karelia_HG+Motala12+Neolithic_Hungary @ 6.080081
3 Finnish+Motala12+Neolithic_Hungary+Samara_HG @ 6.228831
4 Karelia_HG+Loschbour+Neolithic_Hungary+Russian_Kar gopol @ 6.268527
5 Finnish+Loschbour+Neolithic_Hungary+Samara_HG @ 6.2851
6 Karelia_HG+Motala12+Neolithic_Hungary+Russian_Karg opol @ 6.316224
7 Karelia_HG+Loschbour+Neolithic_Hungary+Saami_WGA @ 6.354777
8 Karelia_HG+Motala12+Neolithic_Hungary+Saami_WGA @ 6.417967
9 Erzya+Karelia_HG+Loschbour+Neolithic_Hungary @ 6.418717
10 Motala12+Neolithic_Hungary+Saami_WGA+Samara_HG @ 6.423769
11 Basque+Finnish+Karelia_HG+Loschbour @ 6.432321
12 Loschbour+Neolithic_Hungary+Saami_WGA+Samara_HG @ 6.442205
13 Motala12+Neolithic_Hungary+Russian_Kargopol+Samara _HG @ 6.446149
14 Erzya+Karelia_HG+Motala12+Neolithic_Hungary @ 6.46285
15 Finnish+Karelia_HG+Loschbour+Spanish_North @ 6.484203
16 Loschbour+Neolithic_Hungary+Russian_Kargopol+Samar a_HG @ 6.487358
17 Basque+Finnish+Karelia_HG+Motala12 @ 6.49803
18 Karelia_HG+Loschbour+Mordovian+Neolithic_Hungary @ 6.542426
19 Finnish+Karelia_HG+Motala12+Spanish_North @ 6.55343
20 Finnish+HungaryGamba_BA+Karelia_HG+Loschbour @ 6.558961
21 Erzya+Motala12+Neolithic_Hungary+Samara_HG @ 6.586734
22 Karelia_HG+Mordovian+Motala12+Neolithic_Hungary @ 6.595609
23 Finnish+HungaryGamba_BA+Karelia_HG+Motala12 @ 6.611585
24 Finnish+French_South+Karelia_HG+Loschbour @ 6.62232
25 Basque+Karelia_HG+Loschbour+Saami_WGA @ 6.626478
26 Greenland+Loschbour+Loschbour+Neolithic_Hungary @ 6.630146
27 Erzya+Loschbour+Neolithic_Hungary+Samara_HG @ 6.634761
28 Basque+Finnish+Motala12+Samara_HG @ 6.637671
29 Karelia_HG+Loschbour+Moksha+Neolithic_Hungary @ 6.640524
30 Finnish+Karelia_HG+Neolithic_Hungary+Samara_HG @ 6.646363
31 Finnish+Neolithic_Hungary+Samara_HG+Samara_HG @ 6.64944
32 Finnish+Karelia_HG+Karelia_HG+Neolithic_Hungary @ 6.661534
33 Basque+Finnish+Loschbour+Samara_HG @ 6.663871
34 Basque+Karelia_HG+Loschbour+Russian_Kargopol @ 6.670178
35 Karelia_HG+Moksha+Motala12+Neolithic_Hungary @ 6.670534
36 Finnish+Motala12+Samara_HG+Spanish_North @ 6.683135
37 Karelia_HG+Loschbour+Saami_WGA+Spanish_North @ 6.686105
38 Finnish+French_South+Karelia_HG+Motala12 @ 6.696636
39 Finnish+Loschbour+Samara_HG+Spanish_North @ 6.704306
40 Basque+Karelia_HG+Motala12+Saami_WGA @ 6.713215
77238876 iterations.
No Yamnaya because no Central Asian being counted here. Presumably the 37-39% Yamnaya results in other places are due to mixing this 21% EHG-type with some of that Central Asian/Teal/Gedrosian.

HRP0341 Punjabi Jatt Sikh (also very close to Punjabi Ramgarhia) (17.12%):

Least-squares method.

Using 1 population approximation:
1 Finnish @ 20.528087
2 Estonian @ 21.432156
3 Lithuanian @ 22.287528
4 Karelia_HG @ 23.831373
5 Bell_Beaker_LN @ 24.521985
6 Samara_HG @ 24.673458
7 Neolithic_Hungary @ 25.016733
8 Russian_Kargopol @ 25.037587
9 Norwegian @ 25.841487
10 Icelandic @ 25.855432
11 Polish @ 25.967126
12 Belarusian @ 26.029246
13 Erzya @ 26.882627
14 Russian @ 27.108981
15 Ukrainian_Kharkov @ 27.400697
16 Orcadian @ 27.508641
17 Scottish @ 27.857569
18 Moksha @ 28.211248
19 Mordovian @ 28.518117
20 Ukrainian_Poltava @ 28.773309
206 iterations.

Using 2 populations approximation:
1 Karelia_HG+Neolithic_Hungary @ 11.276201
2 Neolithic_Hungary+Samara_HG @ 11.876181
3 HungaryGamba_BA+Motala12 @ 13.173173
4 French+Motala12 @ 13.221843
5 French_South+Motala12 @ 13.404692
6 Motala12+Spanish_North @ 13.677324
7 Motala12+Spanish @ 13.864278
8 Basque+Motala12 @ 13.962557
9 French+Loschbour @ 14.163657
10 English+Motala12 @ 14.239769
11 French_South+Loschbour @ 14.280818
12 Loschbour+Spanish @ 14.317129
13 Hungarian+Motala12 @ 14.526255
14 HungaryGamba_BA+Loschbour @ 14.54405
15 Motala12+Neolithic_Hungary @ 14.580169
16 Croatian+Motala12 @ 14.61496
17 Loschbour+Spanish_North @ 14.633037
18 Motala12+Scottish @ 14.63402
19 Basque+Loschbour @ 14.965585
20 Motala12+Serbian @ 14.987187
21321 iterations.

Using 3 populations approximation:
1 50% Loschbour +25% Mansi +25% Spain_MN @ 7.198596
2 50% Motala12 +25% Basque +25% Mansi @ 7.276664
3 50% Motala12 +25% Mansi +25% Spain_MN @ 7.402306
4 50% Loschbour +25% Esperstedt_MN +25% Mansi @ 7.608899
5 50% Motala12 +25% Mansi +25% Spanish_North @ 7.758477
6 50% Motala12 +25% Saami_WGA +25% Spain_MN @ 7.836523
7 50% Loschbour +25% Basque +25% Greenland @ 7.90535
8 50% Loschbour +25% Mansi +25% Sardinian @ 7.905698
9 50% Motala12 +25% French_South +25% Mansi @ 7.914615
10 50% Loschbour +25% Basque +25% Mansi @ 7.936324
11 50% Motala12 +25% Esperstedt_MN +25% Saami_WGA @ 8.004359
12 50% Motala12 +25% Esperstedt_MN +25% Mansi @ 8.006498
13 50% Motala12 +25% Saami_WGA +25% Sardinian @ 8.080621
14 50% Loschbour +25% Greenland +25% Spanish_North @ 8.273266
15 50% Loschbour +25% Mansi +25% Spanish_North @ 8.321646
16 50% Loschbour +25% French_South +25% Mansi @ 8.384311
17 50% Motala12 +25% Mansi +25% Sardinian @ 8.409296
18 50% Loschbour +25% French_South +25% Greenland @ 8.599065
19 50% Loschbour +25% Greenland +25% Neolithic_Hungary @ 8.610626
20 50% Motala12 +25% Basque +25% Chuvash @ 8.797404
2472755 iterations.

Using 4 populations approximation:
1 Loschbour+Loschbour+Mansi+Spain_MN @ 7.198596
2 Loschbour+Mansi+Motala12+Spain_MN @ 7.201359
3 Basque+Mansi+Motala12+Motala12 @ 7.276664
4 Mansi+Motala12+Motala12+Spain_MN @ 7.402306
5 Basque+Loschbour+Mansi+Motala12 @ 7.517988
6 Esperstedt_MN+Loschbour+Loschbour+Mansi @ 7.608899
7 Esperstedt_MN+Loschbour+Mansi+Motala12 @ 7.717013
8 Mansi+Motala12+Motala12+Spanish_North @ 7.758477
9 Motala12+Motala12+Saami_WGA+Spain_MN @ 7.836523
10 Basque+Greenland+Loschbour+Loschbour @ 7.90535
11 Loschbour+Loschbour+Mansi+Sardinian @ 7.905698
12 French_South+Mansi+Motala12+Motala12 @ 7.914615
13 Basque+Loschbour+Loschbour+Mansi @ 7.936324
14 Loschbour+Mansi+Motala12+Spanish_North @ 7.954526
15 Esperstedt_MN+Motala12+Motala12+Saami_WGA @ 8.004359
16 Esperstedt_MN+Mansi+Motala12+Motala12 @ 8.006498
17 French_South+Loschbour+Mansi+Motala12 @ 8.063592
18 Loschbour+Mansi+Motala12+Sardinian @ 8.072223
19 Motala12+Motala12+Saami_WGA+Sardinian @ 8.080621
20 Greenland+Loschbour+Loschbour+Spanish_North @ 8.273266
21 Loschbour+Loschbour+Mansi+Spanish_North @ 8.321646
22 Loschbour+Motala12+Saami_WGA+Spain_MN @ 8.344278
23 French_South+Loschbour+Loschbour+Mansi @ 8.384311
24 Esperstedt_MN+Loschbour+Motala12+Saami_WGA @ 8.406455
25 Mansi+Motala12+Motala12+Sardinian @ 8.409296
26 Loschbour+Motala12+Saami_WGA+Sardinian @ 8.419704
27 French_South+Greenland+Loschbour+Loschbour @ 8.599065
28 Greenland+Loschbour+Loschbour+Neolithic_Hungary @ 8.610626
29 Basque+Chuvash+Motala12+Motala12 @ 8.797404
30 Chuvash+Motala12+Motala12+Spain_MN @ 8.896569
31 Loschbour+Loschbour+Saami_WGA+Sardinian @ 8.90961
32 Loschbour+Mansi+Neolithic_Hungary+Neolithic_Hungar y @ 8.910629
33 Basque+Greenland+Loschbour+Motala12 @ 8.912293
34 Esperstedt_MN+Loschbour+Loschbour+Saami_WGA @ 8.953323
35 Motala12+Motala12+Saami_WGA+Spain_EN @ 8.967381
36 Loschbour+Loschbour+Saami_WGA+Spain_MN @ 8.985413
37 Motala12+Neolithic_Hungary+Neolithic_Hungary+Saami _WGA @ 9.01443
38 Loschbour+Loschbour+Mansi+Spain_EN @ 9.088076
39 Chuvash+Loschbour+Motala12+Spain_MN @ 9.091505
40 Loschbour+Motala12+Saami_WGA+Spain_EN @ 9.117803
14919592 iterations.


Gaussian method.
Noise dispersion set to 0.584552

Using 1 population approximation:
1 Finnish @ 10.08222
2 Russian_Kargopol @ 10.598104
3 Mordovian @ 11.189151
4 Erzya @ 11.640814
5 Estonian @ 12.122738
6 Saami_WGA @ 12.266703
7 Moksha @ 12.316267
8 Chuvash @ 12.668451
9 Russian @ 12.907907
10 Ukrainian_Poltava @ 14.854709
11 Ukrainian @ 15.208336
12 Belarusian @ 15.311691
13 Norwegian @ 15.350498
14 Ukrainian_Lviv @ 16.426365
15 Hungarian @ 16.439721
16 Kostenki14 @ 16.686773
17 Polish @ 17.128525
18 Scottish @ 17.709554
19 Romanian @ 17.730135
20 Lithuanian @ 17.98231
206 iterations.

Using 2 populations approximation:
1 Finnish+Karelia_HG @ 8.836266
2 Finnish+Samara_HG @ 9.010025
3 Karelia_HG+Russian_Kargopol @ 9.263744
4 Neolithic_Hungary+Saami_WGA @ 9.301193
5 Russian_Kargopol+Samara_HG @ 9.39613
6 Finnish+Motala12 @ 9.439321
7 Erzya+Karelia_HG @ 9.495133
8 Motala12+Russian_Kargopol @ 9.545652
9 Erzya+Samara_HG @ 9.619971
10 Karelia_HG+Mordovian @ 9.748705
11 Erzya+Motala12 @ 9.865643
12 Karelia_HG+Moksha @ 9.92489
13 Mordovian+Samara_HG @ 9.950682
14 Bell_Beaker_LN+Saami_WGA @ 9.962922
15 Mordovian+Motala12 @ 9.970066
16 Chuvash+Neolithic_Hungary @ 10.053983
17 Finnish+Finnish @ 10.08222
18 Chuvash+Motala12 @ 10.163731
19 Mansi+Neolithic_Hungary @ 10.183135
20 Estonian+Saami_WGA @ 10.208559
21321 iterations.

Using 3 populations approximation:
1 50% Loschbour +25% Greenland +25% Spain_MN @ 5.83949
2 50% Loschbour +25% Esperstedt_MN +25% Greenland @ 5.951718
3 50% Loschbour +25% Basque +25% Greenland @ 5.968675
4 50% Loschbour +25% Greenland +25% Spanish_North @ 6.136864
5 50% Loschbour +25% Greenland +25% Sardinian @ 6.155686
6 50% Loschbour +25% Greenland +25% Neolithic_Hungary @ 6.238323
7 50% Neolithic_Hungary +25% Greenland +25% Loschbour @ 6.305838
8 50% Loschbour +25% French_South +25% Greenland @ 6.329899
9 50% Loschbour +25% Greenland +25% Spain_EN @ 6.332349
10 50% Loschbour +25% Greenland +25% LBK_EN @ 6.404412
11 50% Loschbour +25% Greenland +25% Stuttgart @ 6.435674
12 50% Motala12 +25% Greenland +25% Spain_MN @ 6.463348
13 50% Motala12 +25% Mansi +25% Spain_MN @ 6.470472
14 50% Motala12 +25% Basque +25% Greenland @ 6.511102
15 50% Motala12 +25% Esperstedt_MN +25% Mansi @ 6.538204
16 50% Motala12 +25% Esperstedt_MN +25% Greenland @ 6.579517
17 50% Neolithic_Hungary +25% Greenland +25% Motala12 @ 6.631986
18 50% Motala12 +25% Basque +25% Mansi @ 6.648839
19 50% Neolithic_Hungary +25% Karelia_HG +25% Saami_WGA @ 6.668969
20 50% Motala12 +25% Greenland +25% Spanish_North @ 6.669628
4202967 iterations.

Using 4 populations approximation:
1 Greenland+Loschbour+Loschbour+Spain_MN @ 5.83949
2 Esperstedt_MN+Greenland+Loschbour+Loschbour @ 5.951718
3 Basque+Greenland+Loschbour+Loschbour @ 5.968675
4 Greenland+Loschbour+Loschbour+Spanish_North @ 6.136864
5 Greenland+Loschbour+Loschbour+Sardinian @ 6.155686
6 Greenland+Loschbour+Motala12+Spain_MN @ 6.158191
7 Greenland+Loschbour+Loschbour+Neolithic_Hungary @ 6.238323
8 Basque+Greenland+Loschbour+Motala12 @ 6.244133
9 Esperstedt_MN+Greenland+Loschbour+Motala12 @ 6.272335
10 Greenland+Loschbour+Neolithic_Hungary+Neolithic_Hu ngary @ 6.305838
11 French_South+Greenland+Loschbour+Loschbour @ 6.329899
12 Greenland+Loschbour+Loschbour+Spain_EN @ 6.332349
13 Greenland+LBK_EN+Loschbour+Loschbour @ 6.404412
14 Greenland+Loschbour+Motala12+Spanish_North @ 6.407224
15 Karelia_HG+Loschbour+Saami_WGA+Spain_MN @ 6.420577
16 Greenland+Loschbour+Loschbour+Stuttgart @ 6.435674
17 Greenland+Motala12+Motala12+Spain_MN @ 6.463348
18 Greenland+Loschbour+Motala12+Sardinian @ 6.465718
19 Greenland+Loschbour+Motala12+Neolithic_Hungary @ 6.465745
20 Mansi+Motala12+Motala12+Spain_MN @ 6.470472
21 Esperstedt_MN+Karelia_HG+Loschbour+Saami_WGA @ 6.501917
22 Basque+Greenland+Motala12+Motala12 @ 6.511102
23 Basque+Karelia_HG+Loschbour+Saami_WGA @ 6.52272
24 Loschbour+Saami_WGA+Samara_HG+Spain_MN @ 6.529802
25 Esperstedt_MN+Mansi+Motala12+Motala12 @ 6.538204
26 Karelia_HG+Motala12+Saami_WGA+Spain_MN @ 6.551729
27 Esperstedt_MN+Greenland+Motala12+Motala12 @ 6.579517
28 Karelia_HG+Loschbour+Saami_WGA+Spanish_North @ 6.588929
29 Motala12+Saami_WGA+Samara_HG+Spain_MN @ 6.591592
30 French_South+Greenland+Loschbour+Motala12 @ 6.593858
31 Esperstedt_MN+Loschbour+Saami_WGA+Samara_HG @ 6.603411
32 Basque+Karelia_HG+Motala12+Saami_WGA @ 6.616475
33 Greenland+Motala12+Neolithic_Hungary+Neolithic_Hun gary @ 6.631986
34 Esperstedt_MN+Karelia_HG+Motala12+Saami_WGA @ 6.639387
35 Greenland+Loschbour+Motala12+Spain_EN @ 6.646609
36 Loschbour+Mansi+Samara_HG+Spain_MN @ 6.647798
37 Basque+Mansi+Motala12+Motala12 @ 6.648839
38 Karelia_HG+Loschbour+Saami_WGA+Sardinian @ 6.653437
39 Karelia_HG+Neolithic_Hungary+Neolithic_Hungary+Saa mi_WGA @ 6.668969
40 Greenland+Motala12+Motala12+Spanish_North @ 6.669628
76181412 iterations.


I figured these would be more interesting for HRP0370 (Afghan Pashtun) since they had more than just EHG-type admixture going into it and it was 30.57% of their result.



Least-squares method.

Using 1 population approximation:
1 French_South @ 10.373095
2 Spanish_North @ 10.581206
3 Basque @ 10.794022
4 Spanish @ 14.650994
5 HungaryGamba_BA @ 15.311305
6 French @ 17.126706
7 Neolithic_Hungary @ 17.806268
8 English @ 22.122784
9 Bergamo @ 22.578479
10 Croatian @ 23.554502
11 Serbian @ 24.190592
12 Scottish @ 24.250703
13 Hungarian @ 24.302284
14 Montenegrin @ 24.339488
15 Serbian_Bosnia @ 24.809315
16 Bosnian @ 25.798854
17 Norwegian @ 25.91776
18 Orcadian @ 25.93332
19 Czech @ 25.98286
20 Romanian @ 26.226821
206 iterations.

Using 2 populations approximation:
1 Esperstedt_MN+Finnish @ 9.876499
2 Karelia_HG+Stuttgart @ 9.883488
3 Finnish+Spain_MN @ 9.965062
4 Neolithic_Hungary+Spanish @ 10.048255
5 Karelia_HG+LBK_EN @ 10.065448
6 Finnish+Sardinian @ 10.145045
7 French_South+French_South @ 10.373095
8 Samara_HG+Stuttgart @ 10.389073
9 Karelia_HG+Spain_EN @ 10.398189
10 Basque+French_South @ 10.414754
11 French_South+Spanish_North @ 10.440252
12 Basque+HungaryGamba_BA @ 10.492737
13 Spanish_North+Spanish_North @ 10.581206
14 Basque+Spanish_North @ 10.597671
15 LBK_EN+Samara_HG @ 10.614532
16 French_South+Neolithic_Hungary @ 10.771829
17 Basque+Basque @ 10.794022
18 French_South+HungaryGamba_BA @ 10.805255
19 HungaryGamba_BA+Spanish_North @ 10.987349
20 Samara_HG+Spain_EN @ 11.033198
21321 iterations.

Using 3 populations approximation:
1 50% Stuttgart +25% Motala12 +25% Saami_WGA @ 6.179157
2 50% Spain_MN +25% Neolithic_Hungary +25% Saami_WGA @ 6.243574
3 50% LBK_EN +25% Motala12 +25% Saami_WGA @ 6.411508
4 50% Basque +25% Saami_WGA +25% Spain_MN @ 6.436656
5 50% Basque +25% Esperstedt_MN +25% Saami_WGA @ 6.637415
6 50% Stuttgart +25% Loschbour +25% Saami_WGA @ 6.709512
7 50% Stuttgart +25% Chuvash +25% Motala12 @ 6.811113
8 50% Basque +25% Saami_WGA +25% Sardinian @ 6.823477
9 50% Spain_EN +25% Chuvash +25% Motala12 @ 6.838262
10 50% LBK_EN +25% Chuvash +25% Motala12 @ 6.84282
11 50% Spain_EN +25% Motala12 +25% Saami_WGA @ 6.89949
12 50% Stuttgart +25% Chuvash +25% Loschbour @ 6.965448
13 50% LBK_EN +25% Loschbour +25% Saami_WGA @ 6.975448
14 50% LBK_EN +25% Chuvash +25% Loschbour @ 7.047288
15 50% Esperstedt_MN +25% Neolithic_Hungary +25% Saami_WGA @ 7.096935
16 50% Spain_EN +25% Chuvash +25% Loschbour @ 7.14838
17 50% Neolithic_Hungary +25% Chuvash +25% Stuttgart @ 7.305781
18 50% Neolithic_Hungary +25% Chuvash +25% LBK_EN @ 7.387974
19 50% Neolithic_Hungary +25% Saami_WGA +25% Stuttgart @ 7.438302
20 50% Spanish_North +25% Saami_WGA +25% Spain_MN @ 7.472563
1711024 iterations.

Using 4 populations approximation:
1 Motala12+Saami_WGA+Stuttgart+Stuttgart @ 6.179157
2 Neolithic_Hungary+Saami_WGA+Spain_MN+Spain_MN @ 6.243574
3 LBK_EN+Motala12+Saami_WGA+Stuttgart @ 6.290808
4 Basque+Neolithic_Hungary+Saami_WGA+Spain_EN @ 6.344261
5 LBK_EN+LBK_EN+Motala12+Saami_WGA @ 6.411508
6 Basque+Neolithic_Hungary+Saami_WGA+Stuttgart @ 6.41904
7 Basque+LBK_EN+Neolithic_Hungary+Saami_WGA @ 6.423264
8 Basque+Basque+Saami_WGA+Spain_MN @ 6.436656
9 Motala12+Saami_WGA+Spain_EN+Stuttgart @ 6.488028
10 Esperstedt_MN+Neolithic_Hungary+Saami_WGA+Spain_MN @ 6.577452
11 LBK_EN+Motala12+Saami_WGA+Spain_EN @ 6.628748
12 Basque+Basque+Esperstedt_MN+Saami_WGA @ 6.637415
13 Loschbour+Saami_WGA+Stuttgart+Stuttgart @ 6.709512
14 Chuvash+Motala12+Spain_EN+Stuttgart @ 6.765987
15 Neolithic_Hungary+Saami_WGA+Sardinian+Spain_MN @ 6.776112
16 Chuvash+LBK_EN+Motala12+Spain_EN @ 6.810148
17 Chuvash+Motala12+Stuttgart+Stuttgart @ 6.811113
18 Chuvash+LBK_EN+Motala12+Stuttgart @ 6.821823
19 Basque+Basque+Saami_WGA+Sardinian @ 6.823477
20 Basque+Neolithic_Hungary+Saami_WGA+Sardinian @ 6.829075
21 Chuvash+Motala12+Spain_EN+Spain_EN @ 6.838262
22 LBK_EN+Loschbour+Saami_WGA+Stuttgart @ 6.838623
23 Chuvash+LBK_EN+LBK_EN+Motala12 @ 6.84282
24 Neolithic_Hungary+Saami_WGA+Spain_EN+Spanish_North @ 6.848151
25 Motala12+Saami_WGA+Spain_EN+Spain_EN @ 6.89949
26 French_South+Neolithic_Hungary+Saami_WGA+Spain_EN @ 6.902539
27 Neolithic_Hungary+Saami_WGA+Spanish_North+Stuttgar t @ 6.923116
28 LBK_EN+Neolithic_Hungary+Saami_WGA+Spanish_North @ 6.929859
29 Basque+Saami_WGA+Spain_MN+Spanish_North @ 6.939266
30 Basque+Esperstedt_MN+Neolithic_Hungary+Saami_WGA @ 6.952398
31 Chuvash+Loschbour+Stuttgart+Stuttgart @ 6.965448
32 LBK_EN+LBK_EN+Loschbour+Saami_WGA @ 6.975448
33 French_South+Neolithic_Hungary+Saami_WGA+Stuttgart @ 6.997128
34 French_South+LBK_EN+Neolithic_Hungary+Saami_WGA @ 6.998261
35 Chuvash+Loschbour+Spain_EN+Stuttgart @ 7.000745
36 Chuvash+LBK_EN+Loschbour+Stuttgart @ 7.001458
37 Basque+French_South+Saami_WGA+Spain_MN @ 7.022979
38 Chuvash+LBK_EN+LBK_EN+Loschbour @ 7.047288
39 Chuvash+LBK_EN+Loschbour+Spain_EN @ 7.068727
40 Loschbour+Saami_WGA+Spain_EN+Stuttgart @ 7.073593
7709294 iterations.


Gaussian method.
Noise dispersion set to 0.584552

Using 1 population approximation:
1 Romanian @ 12.459185
2 Hungarian @ 12.720049
3 Norwegian @ 13.011595
4 Ukrainian_Poltava @ 13.212765
5 Bulgarian @ 13.554059
6 Serbian @ 13.695216
7 Ukrainian @ 13.802632
8 Finnish @ 13.91905
9 Russian @ 13.923752
10 Montenegrin @ 14.121192
11 Russian_Kargopol @ 14.197199
12 Croatian @ 14.229185
13 Scottish @ 14.268828
14 Moksha @ 14.275324
15 Ukrainian_Lviv @ 14.283495
16 Mordovian @ 14.337505
17 Kostenki14 @ 14.581567
18 Belarusian @ 14.648356
19 French_South @ 14.777889
20 Erzya @ 14.914363
206 iterations.

Using 2 populations approximation:
1 Esperstedt_MN+Saami_WGA @ 7.938419
2 Saami_WGA+Spain_MN @ 7.986361
3 Saami_WGA+Sardinian @ 8.080392
4 Finnish+Sardinian @ 8.161231
5 Esperstedt_MN+Finnish @ 8.165484
6 Finnish+Spain_MN @ 8.173438
7 Saami_WGA+Spain_EN @ 8.222848
8 LBK_EN+Saami_WGA @ 8.224832
9 Saami_WGA+Stuttgart @ 8.266147
10 Russian_Kargopol+Spain_MN @ 8.325421
11 Esperstedt_MN+Russian_Kargopol @ 8.344249
12 Russian_Kargopol+Sardinian @ 8.378631
13 Chuvash+Spain_MN @ 8.458265
14 Finnish+LBK_EN @ 8.511686
15 Finnish+Spain_EN @ 8.51732
16 Chuvash+Esperstedt_MN @ 8.541658
17 Finnish+Stuttgart @ 8.559997
18 Mordovian+Spain_MN @ 8.719219
19 Chuvash+Sardinian @ 8.725497
20 Russian_Kargopol+Spain_EN @ 8.730503
21321 iterations.

Using 3 populations approximation:
1 50% LBK_EN +25% Saami_WGA +25% Samara_HG @ 6.197971
2 50% Stuttgart +25% Saami_WGA +25% Samara_HG @ 6.216613
3 50% Stuttgart +25% Motala12 +25% Saami_WGA @ 6.246567
4 50% LBK_EN +25% Motala12 +25% Saami_WGA @ 6.259444
5 50% LBK_EN +25% Karelia_HG +25% Saami_WGA @ 6.278377
6 50% Esperstedt_MN +25% Saami_WGA +25% Samara_HG @ 6.286669
7 50% Spain_EN +25% Saami_WGA +25% Samara_HG @ 6.288336
8 50% Stuttgart +25% Karelia_HG +25% Saami_WGA @ 6.303132
9 50% Esperstedt_MN +25% Karelia_HG +25% Saami_WGA @ 6.313496
10 50% Spain_EN +25% Motala12 +25% Saami_WGA @ 6.365782
11 50% Spain_EN +25% Karelia_HG +25% Saami_WGA @ 6.372305
12 50% Sardinian +25% Saami_WGA +25% Samara_HG @ 6.486409
13 50% LBK_EN +25% Mansi +25% Motala12 @ 6.49728
14 50% Sardinian +25% Karelia_HG +25% Saami_WGA @ 6.501369
15 50% Stuttgart +25% Mansi +25% Motala12 @ 6.501847
16 50% Spain_MN +25% Saami_WGA +25% Samara_HG @ 6.505947
17 50% Spain_MN +25% Karelia_HG +25% Saami_WGA @ 6.517184
18 50% Spain_EN +25% Mansi +25% Motala12 @ 6.559553
19 50% Spain_MN +25% Mansi +25% Neolithic_Hungary @ 6.59771
20 50% Neolithic_Hungary +25% Mansi +25% Stuttgart @ 6.619286
4184579 iterations.

Using 4 populations approximation:
1 Esperstedt_MN+Saami_WGA+Samara_HG+Stuttgart @ 6.165957
2 Esperstedt_MN+LBK_EN+Saami_WGA+Samara_HG @ 6.168265
3 LBK_EN+LBK_EN+Saami_WGA+Samara_HG @ 6.197971
4 LBK_EN+Saami_WGA+Samara_HG+Stuttgart @ 6.206952
5 Saami_WGA+Samara_HG+Spain_MN+Stuttgart @ 6.208895
6 LBK_EN+Saami_WGA+Samara_HG+Spain_MN @ 6.215565
7 Saami_WGA+Samara_HG+Stuttgart+Stuttgart @ 6.216613
8 Esperstedt_MN+Karelia_HG+LBK_EN+Saami_WGA @ 6.222245
9 Esperstedt_MN+Karelia_HG+Saami_WGA+Stuttgart @ 6.223361
10 LBK_EN+Saami_WGA+Samara_HG+Spain_EN @ 6.24444
11 Esperstedt_MN+Saami_WGA+Samara_HG+Spain_EN @ 6.24637
12 Motala12+Saami_WGA+Stuttgart+Stuttgart @ 6.246567
13 Saami_WGA+Samara_HG+Spain_EN+Stuttgart @ 6.249744
14 LBK_EN+Motala12+Saami_WGA+Stuttgart @ 6.252605
15 Karelia_HG+Saami_WGA+Spain_MN+Stuttgart @ 6.25798
16 LBK_EN+LBK_EN+Motala12+Saami_WGA @ 6.259444
17 Karelia_HG+LBK_EN+Saami_WGA+Spain_MN @ 6.261239
18 Karelia_HG+LBK_EN+LBK_EN+Saami_WGA @ 6.278377
19 Esperstedt_MN+Esperstedt_MN+Saami_WGA+Samara_HG @ 6.286669
20 Saami_WGA+Samara_HG+Spain_EN+Spain_EN @ 6.288336
21 Saami_WGA+Samara_HG+Sardinian+Stuttgart @ 6.288499
22 LBK_EN+Saami_WGA+Samara_HG+Sardinian @ 6.28967
23 Karelia_HG+LBK_EN+Saami_WGA+Stuttgart @ 6.290465
24 Motala12+Saami_WGA+Spain_EN+Stuttgart @ 6.302375
25 Karelia_HG+Saami_WGA+Stuttgart+Stuttgart @ 6.303132
26 Saami_WGA+Samara_HG+Spain_EN+Spain_MN @ 6.303257
27 Esperstedt_MN+Karelia_HG+Saami_WGA+Spain_EN @ 6.304488
28 LBK_EN+Motala12+Saami_WGA+Spain_EN @ 6.311802
29 Esperstedt_MN+Esperstedt_MN+Karelia_HG+Saami_WGA @ 6.313496
30 Karelia_HG+LBK_EN+Saami_WGA+Spain_EN @ 6.327708
31 Karelia_HG+LBK_EN+Saami_WGA+Sardinian @ 6.33452
32 Karelia_HG+Saami_WGA+Spain_EN+Stuttgart @ 6.335684
33 Karelia_HG+Saami_WGA+Sardinian+Stuttgart @ 6.336544
34 Karelia_HG+Saami_WGA+Spain_EN+Spain_MN @ 6.353122
35 Saami_WGA+Samara_HG+Sardinian+Spain_EN @ 6.360227
36 Motala12+Saami_WGA+Spain_EN+Spain_EN @ 6.365782
37 Karelia_HG+Saami_WGA+Spain_EN+Spain_EN @ 6.372305
38 Esperstedt_MN+Motala12+Saami_WGA+Stuttgart @ 6.372725
39 Esperstedt_MN+Saami_WGA+Samara_HG+Spain_MN @ 6.387177
40 Esperstedt_MN+Saami_WGA+Samara_HG+Sardinian @ 6.387347
73800504 iterations.


Himachal Pradesh Brahmin (16.98%):


Least-squares method.

Using 1 population approximation:
1 Norwegian @ 25.342616
2 Scottish @ 25.476212
3 Finnish @ 25.857973
4 English @ 25.860549
5 Bell_Beaker_LN @ 25.901038
6 Icelandic @ 26.036347
7 HungaryGamba_BA @ 26.148355
8 Orcadian @ 26.177139
9 Czech @ 26.612414
10 Russian_Kargopol @ 26.730652
11 Hungarian @ 27.003755
12 Ukrainian_Kharkov @ 27.18913
13 Ukrainian_Poltava @ 27.201163
14 French @ 27.336681
15 Neolithic_Hungary @ 27.362834
16 Erzya @ 27.60451
17 Ukrainian_Lviv @ 27.718932
18 Belarusian @ 28.089445
19 Mordovian @ 28.130342
20 Polish @ 28.167829
206 iterations.

Using 2 populations approximation:
1 Basque+Saami_WGA @ 17.626028
2 Chuvash+Neolithic_Hungary @ 17.84605
3 French_South+Saami_WGA @ 17.92324
4 Saami_WGA+Spanish_North @ 18.099289
5 Neolithic_Hungary+Tubalar @ 18.751143
6 Basque+Chuvash @ 18.824795
7 Neolithic_Hungary+Uygur @ 19.119521
8 Kyrgyz+Neolithic_Hungary @ 19.146452
9 Neolithic_Hungary+Saami_WGA @ 19.215573
10 Chuvash+French_South @ 19.441186
11 Chuvash+Spanish_North @ 19.444915
12 Saami_WGA+Spanish @ 19.589695
13 Mansi+Neolithic_Hungary @ 19.632458
14 Karelia_HG+Spanish @ 19.744702
15 Karelia_HG+Spain_MN @ 19.802423
16 French_South+Karelia_HG @ 20.131284
17 Karelia_HG+Sardinian @ 20.212222
18 Esperstedt_MN+Karelia_HG @ 20.307872
19 Kostenki14+Neolithic_Hungary @ 20.346393
20 Basque+MA1 @ 20.374315
21321 iterations.

Using 3 populations approximation:
1 50% Neolithic_Hungary +25% Daur +25% Karelia_HG @ 8.612797
2 50% Neolithic_Hungary +25% Karelia_HG +25% Xibo @ 9.066773
3 50% Karelia_HG +25% Daur +25% Esperstedt_MN @ 9.159083
4 50% Karelia_HG +25% Daur +25% Spain_EN @ 9.186507
5 50% Samara_HG +25% Daur +25% Spain_EN @ 9.304561
6 50% Karelia_HG +25% Daur +25% Sardinian @ 9.31504
7 50% Neolithic_Hungary +25% Karelia_HG +25% Mongola @ 9.329922
8 50% French_South +25% Greenland +25% Motala12 @ 9.345929
9 50% Neolithic_Hungary +25% Daur +25% Samara_HG @ 9.350991
10 50% Karelia_HG +25% Daur +25% LBK_EN @ 9.354309
11 50% Karelia_HG +25% Daur +25% Stuttgart @ 9.381836
12 50% Samara_HG +25% Daur +25% Stuttgart @ 9.408612
13 50% Samara_HG +25% Daur +25% LBK_EN @ 9.410579
14 50% Karelia_HG +25% Daur +25% Spain_MN @ 9.418881
15 50% Basque +25% Daur +25% Karelia_HG @ 9.52544
16 50% Karelia_HG +25% Esperstedt_MN +25% Xibo @ 9.533079
17 50% Karelia_HG +25% Spain_EN +25% Xibo @ 9.544647
18 50% French_South +25% Greenland +25% Loschbour @ 9.553683
19 50% Basque +25% Greenland +25% Motala12 @ 9.562798
20 50% Spanish_North +25% Greenland +25% Motala12 @ 9.563453
2435902 iterations.

Using 4 populations approximation:
1 Daur+Karelia_HG+Motala12+Stuttgart @ 7.419446
2 Daur+Karelia_HG+LBK_EN+Motala12 @ 7.508987
3 Daur+Karelia_HG+Motala12+Spain_EN @ 7.670862
4 Basque+Daur+Karelia_HG+Neolithic_Hungary @ 7.827587
5 Karelia_HG+Motala12+Stuttgart+Xibo @ 7.918501
6 Karelia_HG+LBK_EN+Motala12+Xibo @ 8.004808
7 Daur+Karelia_HG+Loschbour+Stuttgart @ 8.058248
8 Daur+Motala12+Samara_HG+Stuttgart @ 8.059304
9 Daur+Karelia_HG+Neolithic_Hungary+Spanish_North @ 8.150141
10 Karelia_HG+Motala12+Spain_EN+Xibo @ 8.158458
11 Daur+LBK_EN+Motala12+Samara_HG @ 8.158766
12 Daur+Karelia_HG+LBK_EN+Loschbour @ 8.162659
13 Karelia_HG+Mongola+Motala12+Stuttgart @ 8.214611
14 Daur+French_South+Karelia_HG+Neolithic_Hungary @ 8.252991
15 Karelia_HG+LBK_EN+Mongola+Motala12 @ 8.298333
16 Basque+Karelia_HG+Neolithic_Hungary+Xibo @ 8.301075
17 Daur+Motala12+Samara_HG+Spain_EN @ 8.341836
18 Basque+Daur+Neolithic_Hungary+Samara_HG @ 8.346735
19 Karelia_HG+Mongolian+Motala12+Stuttgart @ 8.356006
20 Daur+Karelia_HG+Loschbour+Spain_EN @ 8.356731
21 Karelia_HG+Mongola+Motala12+Spain_EN @ 8.445303
22 Karelia_HG+LBK_EN+Mongolian+Motala12 @ 8.462284
23 Karelia_HG+Loschbour+Stuttgart+Xibo @ 8.528276
24 Basque+Karelia_HG+Mongola+Neolithic_Hungary @ 8.577113
25 Motala12+Samara_HG+Stuttgart+Xibo @ 8.601871
26 Karelia_HG+Neolithic_Hungary+Spanish_North+Xibo @ 8.611584
27 Daur+Karelia_HG+Neolithic_Hungary+Neolithic_Hungar y @ 8.612797
28 Karelia_HG+Motala12+Oroqen+Stuttgart @ 8.617492
29 Karelia_HG+Mongolian+Motala12+Spain_EN @ 8.627223
30 Karelia_HG+LBK_EN+Loschbour+Xibo @ 8.629179
31 Basque+Karelia_HG+Mongolian+Neolithic_Hungary @ 8.631918
32 Daur+Neolithic_Hungary+Samara_HG+Spanish_North @ 8.654089
33 Karelia_HG+LBK_EN+Motala12+Oroqen @ 8.695876
34 LBK_EN+Motala12+Samara_HG+Xibo @ 8.697291
35 Daur+French_South+Neolithic_Hungary+Samara_HG @ 8.71477
36 French_South+Karelia_HG+Neolithic_Hungary+Xibo @ 8.718001
37 Daur+Loschbour+Samara_HG+Stuttgart @ 8.781567
38 Daur+Karelia_HG+Motala12+Sardinian @ 8.794206
39 Karelia_HG+Motala12+Stuttgart+Tu @ 8.79454
40 Karelia_HG+Loschbour+Mongola+Stuttgart @ 8.801437
17584631 iterations.


Gaussian method.
Noise dispersion set to 0.584552

Using 1 population approximation:
1 Chuvash @ 18.637597
2 Kostenki14 @ 19.307878
3 Mordovian @ 21.523637
4 Erzya @ 22.973248
5 Nogay @ 24.107471
6 Nogai @ 24.190528
7 Afghan_Turkmen @ 24.632978
8 Tadjik @ 25.3009
9 Saami_WGA @ 25.395988
10 Russian_Kargopol @ 25.67285
11 Russian @ 26.491238
12 Uzbeki @ 26.809865
13 Uzbek @ 27.721599
14 Turkmen @ 27.792173
15 Moksha @ 27.819612
16 Finnish @ 28.366941
17 Estonian @ 28.414977
18 Uygur @ 28.7673
19 Tajik_Pomiri @ 28.957328
20 Afghan_Tadjik @ 29.445208
206 iterations.

Using 2 populations approximation:
1 Greenland+Neolithic_Hungary @ 12.439079
2 Neolithic_Hungary+Tubalar @ 12.990007
3 Basque+Greenland @ 13.925307
4 Basque+Tubalar @ 14.047884
5 Greenland+HungaryGamba_BA @ 14.090904
6 Spanish_North+Tubalar @ 14.180581
7 Greenland+Spanish_North @ 14.247574
8 French_South+Tubalar @ 14.313011
9 Karelia_HG+Nogai @ 14.347533
10 HungaryGamba_BA+Tubalar @ 14.462675
11 Nogai+Samara_HG @ 14.46292
12 French_South+Greenland @ 14.500473
13 Karelia_HG+Nogay @ 14.609347
14 Nogay+Samara_HG @ 14.709696
15 Neolithic_Hungary+Yukagir @ 14.739117
16 English+Greenland @ 14.846881
17 Scottish+Tubalar @ 14.897543
18 Bell_Beaker_LN+Tubalar @ 14.928543
19 French+Tubalar @ 15.011278
20 Orcadian+Tubalar @ 15.03576
21321 iterations.

Using 3 populations approximation:
1 50% Samara_HG +25% Daur +25% Spain_EN @ 7.497508
2 50% Samara_HG +25% Daur +25% Stuttgart @ 7.524615
3 50% Samara_HG +25% Daur +25% LBK_EN @ 7.53703
4 50% Karelia_HG +25% Daur +25% Spain_EN @ 7.594002
5 50% Samara_HG +25% Daur +25% Esperstedt_MN @ 7.631005
6 50% Karelia_HG +25% Daur +25% Stuttgart @ 7.701543
7 50% Karelia_HG +25% Daur +25% LBK_EN @ 7.726893
8 50% Samara_HG +25% Mongola +25% Spain_EN @ 7.740906
9 50% Samara_HG +25% Daur +25% Spain_MN @ 7.748186
10 50% Samara_HG +25% Oroqen +25% Spain_EN @ 7.752929
11 50% Samara_HG +25% Spain_EN +25% Xibo @ 7.760121
12 50% Samara_HG +25% Daur +25% Sardinian @ 7.779287
13 50% Samara_HG +25% Mongola +25% Stuttgart @ 7.780691
14 50% Samara_HG +25% Oroqen +25% Stuttgart @ 7.785185
15 50% Karelia_HG +25% Spain_EN +25% Xibo @ 7.789972
16 50% Samara_HG +25% Stuttgart +25% Xibo @ 7.793589
17 50% Samara_HG +25% LBK_EN +25% Mongola @ 7.796583
18 50% Samara_HG +25% LBK_EN +25% Oroqen @ 7.79993
19 50% Karelia_HG +25% Daur +25% Esperstedt_MN @ 7.807568
20 50% Samara_HG +25% LBK_EN +25% Xibo @ 7.808201
4370805 iterations.

Using 4 populations approximation:
1 Daur+Karelia_HG+Motala12+Stuttgart @ 7.400994
2 Daur+Karelia_HG+LBK_EN+Motala12 @ 7.419996
3 Daur+Karelia_HG+Motala12+Spain_EN @ 7.451093
4 Daur+Samara_HG+Samara_HG+Spain_EN @ 7.497508
5 Daur+Samara_HG+Samara_HG+Stuttgart @ 7.524615
6 Daur+Karelia_HG+Samara_HG+Spain_EN @ 7.525291
7 Daur+LBK_EN+Samara_HG+Samara_HG @ 7.53703
8 Karelia_HG+Mongola+Motala12+Stuttgart @ 7.564568
9 Karelia_HG+LBK_EN+Mongola+Motala12 @ 7.583766
10 Daur+Karelia_HG+Samara_HG+Stuttgart @ 7.584038
11 Daur+Karelia_HG+Karelia_HG+Spain_EN @ 7.594002
12 Daur+Karelia_HG+LBK_EN+Samara_HG @ 7.600357
13 Karelia_HG+Mongola+Motala12+Spain_EN @ 7.611557
14 Daur+Esperstedt_MN+Samara_HG+Samara_HG @ 7.631005
15 Karelia_HG+Motala12+Stuttgart+Xibo @ 7.645889
16 Karelia_HG+Motala12+Oroqen+Stuttgart @ 7.662978
17 Karelia_HG+LBK_EN+Motala12+Xibo @ 7.664909
18 Daur+Esperstedt_MN+Karelia_HG+Motala12 @ 7.665832
19 Daur+Esperstedt_MN+Karelia_HG+Samara_HG @ 7.680248
20 Karelia_HG+LBK_EN+Motala12+Oroqen @ 7.682484
21 Karelia_HG+Motala12+Spain_EN+Xibo @ 7.694064
22 Daur+Karelia_HG+Karelia_HG+Stuttgart @ 7.701543
23 Karelia_HG+Motala12+Oroqen+Spain_EN @ 7.711268
24 Daur+Karelia_HG+Karelia_HG+LBK_EN @ 7.726893
25 Mongola+Samara_HG+Samara_HG+Spain_EN @ 7.740906
26 Karelia_HG+Samara_HG+Spain_EN+Xibo @ 7.745426
27 Daur+Samara_HG+Samara_HG+Spain_MN @ 7.748186
28 Oroqen+Samara_HG+Samara_HG+Spain_EN @ 7.752929
29 Karelia_HG+Mongola+Samara_HG+Spain_EN @ 7.75608
30 Daur+Karelia_HG+Motala12+Sardinian @ 7.758429
31 Samara_HG+Samara_HG+Spain_EN+Xibo @ 7.760121
32 Daur+Samara_HG+Samara_HG+Sardinian @ 7.779287
33 Mongola+Samara_HG+Samara_HG+Stuttgart @ 7.780691
34 Oroqen+Samara_HG+Samara_HG+Stuttgart @ 7.785185
35 Karelia_HG+Oroqen+Samara_HG+Spain_EN @ 7.785954
36 Daur+Karelia_HG+Samara_HG+Spain_MN @ 7.786482
37 Karelia_HG+Karelia_HG+Spain_EN+Xibo @ 7.789972
38 Samara_HG+Samara_HG+Stuttgart+Xibo @ 7.793589
39 LBK_EN+Mongola+Samara_HG+Samara_HG @ 7.796583
40 LBK_EN+Oroqen+Samara_HG+Samara_HG @ 7.79993
77238876 iterations.

parasar
04-10-2015, 03:03 AM
R1b is too few and scattered and have branched pretty early . I think most of R1b are P25+ L389-
I don't see any possible relations with either of L657- lines . But could have come along with some Q lines though

Edit: Most of these R1a in the project haven't tested downstream SNP's so that's a premature observation .Surely there are many Z2123 much higher than R1b

The bulk of South Asian R1b is of the eastern variety of M269. The ones that are L389- could very well be close to the P,Q,R divergence.

newtoboard
04-10-2015, 11:06 PM
That agrees well with Underhill et al 2014, which has 68% R1a-M780(=L657) in the South Asian sample overall - although the sample was far from representative. The lowest R1a-L657 was in Central India, followed by North Pakistan, East India, and South India (very small sample sizes though, 5 R1a men each, except for North Pakistan with 14); the highest L657 (almost all R1a) was found in Nepal, Northeast India, and North India. North Pakistan and Central India were mostly and all Z2125, while East and South India had a lot of Z95(xZ2124, L657).


What else is known about Z95? Isn't that a private SNP or is that Z96?

Megalophias
04-11-2015, 12:45 AM
What else is known about Z95? Isn't that a private SNP or is that Z96?
Z95 is phylogenetically equivalent to Z94, according to Y-Full.

lgmayka
04-11-2015, 12:48 AM
What else is known about Z95? Isn't that a private SNP or is that Z96?
YFull lists Z95 as tree-equivalent to Z94 (http://yfull.com/tree/R-Z94/).

newtoboard
04-11-2015, 12:53 AM
Z95 is phylogenetically equivalent to Z94, according to Y-Full.


YFull lists Z95 as tree-equivalent to Z94 (http://yfull.com/tree/R-Z94/).

Thanks. I wonder how what the history of the R1a-Z96+ private mutation is.

lgmayka
04-11-2015, 03:00 AM
I wonder how what the history of the R1a-Z96+ private mutation is.
Tuscan Z96 ended up in a Y40 subclade with an Ottoman Bulgarian (http://yfull.com/tree/R-Y40/).

Dr_McNinja
04-21-2015, 10:39 PM
South Asian mtDNA lineages from this recent study:

http://link.springer.com/article/10.1007%2Fs00439-015-1547-4

https://docs.google.com/spreadsheets/d/1adeIUT4pDoQKu3lf7S4KIlDPhkEMCxTft-N0C4SGDRQ/edit#gid=0

newtoboard
04-21-2015, 11:57 PM
South Asian mtDNA lineages from this recent study:

http://link.springer.com/article/10.1007%2Fs00439-015-1547-4

https://docs.google.com/spreadsheets/d/1adeIUT4pDoQKu3lf7S4KIlDPhkEMCxTft-N0C4SGDRQ/edit#gid=0


Sein already mentioned it but Pashtuns have many more West Eurasian mtdna lines that NW South Asians despite autosomal difference not being high. Razib already had a blog post on how South Asians are much more West Eurasian than mtdna would indicate so maybe there was a recent increase in M lineages. Who knows? Or many U2 is also associated with ASI ancestry?

But I doubt the male and female contribution from the steppe was as unbalanced as people think. R1a is more common than Yamnaya related mt lineages but it looks to me like there was an equal contribution in a place like the extreme NW among Dardic groups and R1a among more southern groups spread from a Kalash or Pashtun or Punjabi like group. R1a continued expanding with local lineages picked up while the maternal lineages might have stayed back at the original entry point even though the original input was balanced.

Interesting to read about WE lineages but I think the presence of mt C in Dnieper-Donets, the Karelia Hunter Gatherer, Andronovo and at the Xiahoe Cemetery is much more interesting.

tamilgangster
04-22-2015, 01:29 AM
That's what the Harappa calculator is basically saying. Everest made a zombie of the Harappa components and ran it through the ANE K7 calculator, I used those values to calculate the ANE/ASE/ENF/WHG.

The zombie components must be way off then, the problem is that these zombie components, eg south Indian do not have a consistent ratio between populations. The only way is to obtain the population samples from reich and individually run the k7 on them. RUnning these samples on the adivasi populations will be the key to knowing about south Asias population history.

Dr_McNinja
04-22-2015, 02:13 AM
Very interesting. Some clearly wind up seeming Dravidian-related (like J1b3) vs. perhaps IE-related (J1b1a1, associated as IE on Eupedia).

J1b3 is probably of middle eastern origin (Iranian/south Caucasus also perhaps) from pre neolithic timeframe. Which makes me think we will see a lot of J/L among pre-IE South Asians.

Dr_McNinja
04-22-2015, 02:13 AM
The zombie components must be way off then, the problem is that these zombie components, eg south Indian do not have a consistent ratio between populations. The only way is to obtain the population samples from reich and individually run the k7 on them. RUnning these samples on the adivasi populations will be the key to knowing about south Asias population history.

The component zombies are more accurate in telling you about what the calculator is doing, but are not representative of the reference populations. They are representative of the calculator.

paulgill
04-22-2015, 03:54 AM
Very interesting. Some clearly wind up seeming Dravidian-related (like J1b3) vs. perhaps IE-related (J1b1a1, associated as IE on Eupedia).

J1b3 is probably of middle eastern origin (Iranian/south Caucasus also perhaps) from pre neolithic timeframe. Which makes me think we will see a lot of J/L among pre-IE South Asians.
Are we talking about Ydna or mtDna J1b3, J1b1a1 here?

Dr_McNinja
04-22-2015, 12:38 PM
Are we talking about Ydna or mtDna J1b3, J1b1a1 here?

Yes, the spreadsheet has mtDNA lineages.

parasar
04-22-2015, 03:31 PM
South Asian mtDNA lineages from this recent study:

http://link.springer.com/article/10.1007%2Fs00439-015-1547-4

https://docs.google.com/spreadsheets/d/1adeIUT4pDoQKu3lf7S4KIlDPhkEMCxTft-N0C4SGDRQ/edit#gid=0

Did they have any upper or middle class samples from Bihar?
All the so called 'West Eurasian' types are present only in AA and Caste populations.
Bihar:
Caste HV
AA HV12b1
AA HV12b1
Caste U7
Caste U7a3b1
Caste I1
Caste N1b1

BMG
04-27-2015, 05:36 PM
South Asian mtDNA lineages from this recent study:

http://link.springer.com/article/10.1007%2Fs00439-015-1547-4

https://docs.google.com/spreadsheets/d/1adeIUT4pDoQKu3lf7S4KIlDPhkEMCxTft-N0C4SGDRQ/edit#gid=0

"The complete mtdna sequences reported in this paper have been deposited in genbank under accesion numbers GU213243-GU213254 ,GU327373 ,KP763831 -KP763858"
Total of 41 mtdna samples were fully sequenced

tamilgangster
04-27-2015, 06:52 PM
South Asian mtDNA lineages from this recent study:

http://link.springer.com/article/10.1007%2Fs00439-015-1547-4

https://docs.google.com/spreadsheets/d/1adeIUT4pDoQKu3lf7S4KIlDPhkEMCxTft-N0C4SGDRQ/edit#gid=0

Jatts are not "upper caste" in any way lol

paulgill
04-27-2015, 08:41 PM
Jatts are not "upper caste" in any way lolJatts are not a part of any caste system at all, understand that once for all.

Dr_McNinja
04-27-2015, 10:20 PM
Jatts are not a part of any caste system at all, understand that once for all.

They are not a part of the Hindu/Brahminic caste system but as an independent group were as endogamous as castes (so were many non-Hindu groups in the South/South Central Asia area).

Also I think Haryana Jatts are Hindus so I don't know what caste they consider themselves or if that applies to them (or how long they have been Hindu).

paulgill
04-27-2015, 11:12 PM
They are not a part of the Hindu/Brahminic caste system but as an independent group were as endogamous as castes (so were many non-Hindu groups in the South/South Central Asia area).

Also I think Haryana Jatts are Hindus so I don't know what caste they consider themselves or if that applies to them (or how long they have been Hindu). Haryana Jatts are not Hindus but Arya Samaji, Arya Samaj have no caste system, and that is the only reason why those Jatts follow it, and same applies to Muslim and Sikh Jatts, no caste system.

MonkeyDLuffy
04-28-2015, 08:47 AM
Haryana Jatts are not Hindus but Arya Samaji, Arya Samaj have no caste system, and that is the only reason why those Jatts follow it, and same applies to Muslim and Sikh Jatts, no caste system.

This, Majority of NW doesnt fall under castes but are independent tribes.

Haryana jatts consider themselves Hindus and are hardcore about religion, but the rules are different from mainstream Hinduism.

Source: have a big friend circle of Haryanvi folks.

paulgill
04-28-2015, 08:54 AM
This, Majority of NW doesnt fall under castes but are independent tribes.

Haryana jatts consider themselves Hindus and are hardcore about religion, but the rules are different from mainstream Hinduism.

Source: have a big friend circle of Haryanvi folks.Not under Brahmins, I bet. They are like that not because they are very religious, but because they are Jatt, so very rough and tough like all the Jatts are.

MonkeyDLuffy
04-28-2015, 09:18 AM
Not under Brahmins, I bet. They are like that not because they are very religious, but because they are Jatt, so very rough and tough like all the Jatts are.

Nope they are like a separate group. They do have all pooja and worshipping rituals where they invite Brahmins etc. They do believe in a group system where they have high status and stuff, same as gujjars and Rajputs of haryana. You can say Haryana is Hindu extension of Punjab. Rules are same but just different religions.

To be honest from my observation, Haryanvi jatts are much more robust and tougher than Punjabi jatts. They are short and more wide faced, but have a really tough build. There is not much difference in Rajputs, gujjar, rorh (exclusive to haryana) and Jatts of haryana in phenotype and structure.

paulgill
04-28-2015, 09:27 AM
Nope they are like a separate group. They do have all pooja and worshipping rituals where they invite Brahmins etc. They do believe in a group system where they have high status and stuff, same as gujjars and Rajputs of haryana. You can say Haryana is Hindu extension of Punjab. Rules are same but just different religions.

To be honest from my observation, Haryanvi jatts are much more robust and tougher than Punjabi jatts. They are short and more wide faced, but have a really tough build. There is not much difference in Rajputs, gujjar, rorh (exclusive to haryana) and Jatts of haryana in phenotype and structure. What I mean to say is that Brahmins don't get the same degree of respect from Jatts as from other castes. Again if you check with them they will let you know that they are Arya Samaji.

MonkeyDLuffy
04-28-2015, 09:35 AM
What I mean to say is that Brahmins don't get the same degree of respect from Jatts as from other castes. Again if you check with them they will let you know that they are Arya Samaji.

Of course, like I said they act as separate group. They know who brahmins are and need them for rituals, but doesnt consider them superior or anything. From my knowledge I think the rules are different in these regions from other parts because of Fertile lands, the land here has high value thus there is big competition among tribes. Hence they dont think anyone is superior or inferior, they just prefer to stay in their own community and think they are best.

paulgill
04-28-2015, 09:42 AM
Of course, like I said they act as separate group. They know who brahmins are and need them for rituals, but doesnt consider them superior or anything. From my knowledge I think the rules are different in these regions from other parts because of Fertile lands, the land here has high value thus there is big competition among tribes. Hence they dont think anyone is superior or inferior, they just prefer to stay in their own community and think they are best.High land value is a new phenomena and have nothing to do with how they behave, they been always like that.

tamilgangster
04-28-2015, 10:16 AM
Jatts are not a part of any caste system at all, understand that once for all.

They aren't part of the original 4 varna system but are descended from scythians they got assimilated as sudras, jatts are considered obcs. Rajputs have always looked down upon jatts

Dr_McNinja
04-28-2015, 03:51 PM
Jatts have pretty much always been farmers. The British even defined them as an "agricultural caste". They've been a traditional peasant class, sure, but almost exclusively of agricultural occupation/lifestyle. Sudra are not agriculturalists (but Vaishya are, IIRC... and there appears to be plenty of overlap with North Indian Vaishya and Brahmins, at least in lineages from what I've gathered). So that just sounds like stereotypes from other parts of India.

Punjab/Haryana and the entire Indus region is known for its fertile land, that's probably the reason they settled there. From history it seems their original religion (at least pre-Islam) was Buddhism moreso than Hinduism.

The ones that did assimilate into the Hindu social stratus (very few proportionately) merged into neighboring Rajput tribes, since Jatts/Rajputs over the centuries have come to share many tribal surnames as a consequence. But so far genetically we have not seen many Rajput samples, not as many as Jatts anyway. The ones I have found online have surnames shared with Jatt tribes (for example Bhatti is a famous Rajput surname, but my family include the more rare Bhatti Jatts... and at the time of the Arabs, Bhattis were described as an independent tribe alongside Jats, not a part of either). Among Sikhs and Muslims at least there isn't any tension between the two groups and they barely see each other as any different.

The encroach of Arabs caused a great upheaval in the demographics of the Indus valley and probably caused a flurry of contact with the Hindu political/social structure (from Rajasthan and Uttar Pradesh). That's probably also what caused the "Kshatriya" reputation and association with Rajputs since all these groups living in Indus valley and Punjab especially, Jatts, Gujjar, Kamboj, etc were agriculturalists descended from old Buddhist kingdoms (and historically the Hindus who ruled over the Pakistan/Afghanistan area like the Shahi dynasty were also Kshatriya, IIRC, living a similar existence afterwards) and happened to be the ones who were fighting recent invaders (Hephthalites, Arabs, even Mongols).

Plenty of people look down upon Jatts but it's usually for the same reasons:

1. They aren't part of the same caste/social system.

2. They're as endogamous and isolated/insulated as any caste, which naturally fosters differences.

3. They have a reputation for being wild and barbaric. Even in other parts of Pakistan, they call Jatts "jahil" (Arabic-origin term for ignorant or untamed). I think this is more to due with the fact that they are farmers and have a redneck-type reputation. Farmers are culturally looked down upon in cities (at least in Pakistan from my experience). In Afghanistan and Central Asia, they're actually gypsies (Jati). I don't know if those are actual Jatts, paulgill seems to think they're just other South Asians related to the Roma and are called Jatts incorrectly because of the geographical proximity. We'll have to wait and see if any study genotypes them.

Linguistically, the original tongues of Jatts were probably of a Western Punjabi type. They used to call Western Punjabi languages "Jatki" colloquially. Many of these are spoken in Azad Kashmir and on the other side of the Indus. Many Sikhs used to live there and even in Afghanistan in the 19th and early part of 20th century. This is not a traditionally Hindu area, Buddhism was the popular religion when the Arabs came.

MonkeyDLuffy
04-28-2015, 04:50 PM
They aren't part of the original 4 varna system but are descended from scythians they got assimilated as sudras, jatts are considered obcs. Rajputs have always looked down upon jatts


They aren't part of the original 4 varna system but are descended from scythians they got assimilated as sudras, jatts are considered obcs. Rajputs have always looked down upon jatts

The 4 varna system is full of flaws. Anyone who did not fit was automatically considered shudra. Even my tribe which was exclusive to north west got lumped with jhangid/burhai/mistris when some of us accepted hinduism. Since we did not fit properly in their system, we automatically were considered shudras. Originally all these tribes like sainis, jatts, kambojs, gujjars, tarkhans etc probably followed tribal religions, before introduction to organized religions like hinduism and later islam and Sikhism. Some of the rituals and beliefs can be seen still to this day even if they are following hinduism or sikhism or islam etc.

Reason why these tribes are found exclusively in this region only, never expanded out of north and west of India and Pakistan. And why the roles are different in these societies. These tribes modified hinduism because they refused the shudra status. Even the rajputs popped up few centuries ago, and got accepted as kshtriya because of their rule in rajputana and neighbouring provinces. Same applies for khatri, who are so called kshtriyas. They are not. They were a tribe themselves, not the original kshtriyas. North west has always been a tribal areas. Because these regions were always unstable, getting attacked from west from time to time.

Also OBC does not mean shudra, it means other backward castes, means the castes/tribes are normal status but did not get the chance to progress. That is why they do get reservation but only a small %age and the certificate only works for 1 year. Dont confuse it with SC ST.


Lets keep caste outside of here, it always end up in flamewars and is offtopic too.

Dr_McNinja
04-28-2015, 05:18 PM
^This history is partly why I think Brahmins might have had a different Steppe ancestor than Jatts. A population with more West Asian admixture.

Jatts might not even have had a western Steppe ancestor, it could just be some kind of Central Asian EHG descendant who mixed with South Central Asians in much the same way the ancestor of Yamnaya did (so in Admixture/Oracles it looks like Yamnaya, but it's not descended from Yamnaya).

But so far the spread of WHG admixture even among Brahmins seems to coalesce in an arrow pointing at Haryana.

An alternate theory is that the West Asian is remnant from even before Indo-Europeans. They might have had a class system, albeit a more fluid one, in place before Indo-Aryans, Hinduism, and the caste system. The upper class pre-Hinduism could have become the Brahmins. Meanwhile the WHG came to India with the Indo-Aryans centering on Haryana and social/cultural isolation kept Jatts separate from everyone else for a long time until the last 1500 years. I suppose being socially separated for thousands of years despite living in the same area could wipe out memory of a common origin.

Finding more ancient DNA from eastern Central Asia circa 5000ya could go a long way. At least there the climate might make that more likely than in India outright.

MonkeyDLuffy
04-28-2015, 05:38 PM
^This history is partly why I think Brahmins might have had a different Steppe ancestor than Jatts. A population with more West Asian admixture.

Jatts might not even have had a western Steppe ancestor, it could just be some kind of Central Asian EHG descendant who mixed with South Central Asians in much the same way the ancestor of Yamnaya did (so in Admixture/Oracles it looks like Yamnaya, but it's not descended from Yamnaya).

But so far the spread of WHG admixture even among Brahmins seems to coalesce in an arrow pointing at Haryana.

An alternate theory is that the West Asian is remnant from even before Indo-Europeans. They might have had a class system, albeit a more fluid one, in place before Indo-Aryans, Hinduism, and the caste system. The upper class pre-Hinduism could have become the Brahmins. Meanwhile the WHG came to India with the Indo-Aryans centering on Haryana and social/cultural isolation kept Jatts separate from everyone else for a long time until the last 1500 years. I suppose being socially separated for thousands of years despite living in the same area could wipe out memory of a common origin.

Finding more ancient DNA from eastern Central Asia circa 5000ya could go a long way. At least there the climate might make that more likely than in India outright.

Let's call ancestors of Brahmins and upper caste hindus A and ancestors of NW tribes B.

A and B are cousins. A entered SA first, contributing to hinduism and buddhism and took over the high caste status, can be called the so called indo aryans.

B came later, in multiple waves, bringing the more west and central asian mixture. B wasn't accepted in A society hence B stayed in NW region, making it its stronghold.

Why I call them cousins is because of shared halogroups. Indicating common ancestor. But the mixture changed because of their arrival in different time period in SA. Which can be seen as the B population scores more west asian mixture.

When B and A mixed, the intermediate population came in existence which is Hindu population of North west, for e.g. look at kashmiri or dogra or punjabi brahmins. Rajputs are good example of that too.

paulgill
04-28-2015, 05:50 PM
They aren't part of the original 4 varna system but are descended from scythians they got assimilated as sudras, jatts are considered obcs. Rajputs have always looked down upon jattsScythians=rulers=sudra, what you been smoking man? Rajputs with Jatt and Gujjar surnames are only Jatts and Gujjars plus the the other aboriginals that Brahmins used against us to hold on to their status.

paulgill
04-28-2015, 06:16 PM
They aren't part of the original 4 varna system but are descended from scythians they got assimilated as sudras, jatts are considered obcs. Rajputs have always looked down upon jatts


Jatts have pretty much always been farmers. The British even defined them as an "agricultural caste". They've been a traditional peasant class, sure, but almost exclusively of agricultural occupation/lifestyle. Sudra are not agriculturalists (but Vaishya are, IIRC... and there appears to be plenty of overlap with North Indian Vaishya and Brahmins, at least in lineages from what I've gathered). So that just sounds like stereotypes from other parts of India.

Punjab/Haryana and the entire Indus region is known for its fertile land, that's probably the reason they settled there. From history it seems their original religion (at least pre-Islam) was Buddhism moreso than Hinduism.

The ones that did assimilate into the Hindu social stratus (very few proportionately) merged into neighboring Rajput tribes, since Jatts/Rajputs over the centuries have come to share many tribal surnames as a consequence. But so far genetically we have not seen many Rajput samples, not as many as Jatts anyway. The ones I have found online have surnames shared with Jatt tribes (for example Bhatti is a famous Rajput surname, but my family include the more rare Bhatti Jatts... and at the time of the Arabs, Bhattis were described as an independent tribe alongside Jats, not a part of either). Among Sikhs and Muslims at least there isn't any tension between the two groups and they barely see each other as any different.

The encroach of Arabs caused a great upheaval in the demographics of the Indus valley and probably caused a flurry of contact with the Hindu political/social structure (from Rajasthan and Uttar Pradesh). That's probably also what caused the "Kshatriya" reputation and association with Rajputs since all these groups living in Indus valley and Punjab especially, Jatts, Gujjar, Kamboj, etc were agriculturalists descended from old Buddhist kingdoms (and historically the Hindus who ruled over the Pakistan/Afghanistan area like the Shahi dynasty were also Kshatriya, IIRC, living a similar existence afterwards) and happened to be the ones who were fighting recent invaders (Hephthalites, Arabs, even Mongols).

Plenty of people look down upon Jatts but it's usually for the same reasons:

1. They aren't part of the same caste/social system.

2. They're as endogamous and isolated/insulated as any caste, which naturally fosters differences.

3. They have a reputation for being wild and barbaric. Even in other parts of Pakistan, they call Jatts "jahil" (Arabic-origin term for ignorant or untamed). I think this is more to due with the fact that they are farmers and have a redneck-type reputation. Farmers are culturally looked down upon in cities (at least in Pakistan from my experience). In Afghanistan and Central Asia, they're actually gypsies (Jati). I don't know if those are actual Jatts, paulgill seems to think they're just other South Asians related to the Roma and are called Jatts incorrectly because of the geographical proximity. We'll have to wait and see if any study genotypes them.

Linguistically, the original tongues of Jatts were probably of a Western Punjabi type. They used to call Western Punjabi languages "Jatki" colloquially. Many of these are spoken in Azad Kashmir and on the other side of the Indus. Many Sikhs used to live there and even in Afghanistan in the 19th and early part of 20th century. This is not a traditionally Hindu area, Buddhism was the popular religion when the Arabs came.As I said before you know the least about Jatts, go and read Deva Samhita written by Brahmin.

parasar
04-28-2015, 06:16 PM
...

Punjab/Haryana and the entire Indus region is known for its fertile land, that's probably the reason they settled there. From history it seems their original religion (at least pre-Islam) was Buddhism moreso than Hinduism.
...

Linguistically, the original tongues of Jatts were probably of a Western Punjabi type. They used to call Western Punjabi languages "Jatki" colloquially. Many of these are spoken in Azad Kashmir and on the other side of the Indus. Many Sikhs used to live there and even in Afghanistan in the 19th and early part of 20th century. This is not a traditionally Hindu area, Buddhism was the popular religion when the Arabs came.

Actually in some ways that was the traditionally Hindu area - especially after 400AD. Shaivite (now considered part of Hinduism) beliefs were spread from Afghanistan, Kashmir, W. Tibet, and the Punjab region.

I doubt Buddhism was very popular anywhere except in Bihar, Himalayan areas, and Lanka. In fact that was the reason, Bihar got its name. Mohammad ibn Bakhtiar Khilji upon inquiring where he was was told he was at a Vihara (in the east pronounced as Bihar) so the name stuck from then-on for the whole region. (Mohammad Khilji was visiting destruction on Odantapuri, Vikramashila, and Nalanda Viharas at that time.)

Buddhist establishments were all over though, but the general population, especially agriculturists, were least bothered. In the west, well before the advent of Arabs, Tormana, Mihirkula and his folk had already dealt a death-blow to Buddhism. They were from the Jaguda/Zabul region of Afghanistan and Iran and had come to rule in the Malwa plateau and the Punjab plains. They were a particularly brutal type of Shiva followers (the Hindu identity had not developed at that time). I would look towards these people as related to a portion of the Jats. They were Brahman-types amongst them too a variety called derisively Gandhara Brahman by Kashmiris.

Xuanzang:
(Mihirakula), who established his authority on this town [in Takkdesh, modern Punjab] and ruled over India. He was of quick talent, and naturally brave. He subdued all the neighboring provinces without exception ... He then issued an edict to destroy all the priests through the five Indies, to overthrow the law of Buddha, and leave nothing remaining ...
... Baladitya-raja, king of Magadha, profoundly honored the law of Buddha and tenderly nourished his people. When he heard of the cruel persecution and atrocities of Mahirakula (Ta-tso), he strictly guarded the frontiers of his kingdom and refused to pay tribute. Then Mahirakula raised an army to punish his rebellion...


We have inscriptions from places in Afghanistan confirming their Shaivite affinities.
Eg. from Mazar e Sharif (courtesy Dani):


1. OM II SAMVATSARE VARSH[E] 100 30 8 ASHTA TRIM SADHIKE SAMVATE
2. SATE [SU]KLA GRIHNA MAGHE RBHA[RYA] TI MATU KS ANGI NANKA SRI
3. SHAHI VEKA RAJYE BHU[VA]NA HATTA DURGA ASHTA B[V]ALE-
4. NASITAVATYA SIVABHATTARAKASYA UMA SA-
5. HITASYA DEVA PRATIMA MAITYASYE PARIMAHA MAI-
6. TYENA PRATISHTHITO ATRA SIVA BHA[TTARAKAM] MAHA
7. SRDDHAYAM VADNAM UBHAM SAPUTRA PUNYA PHALAM TATO
8. SIVA BHATTARAKASYA UMA SAHITASYA GURO MA
9. TA PITRO RA KHA[DHI]VATU II ASHTESHTAKA SAMA YU-
10. KTAM CHA KARUTO SIVALAYAM UMA LAN[NGA] NE

[Om. In the year 138, one hundred increased by thirty-eight, on the
white half of Magha, during the reign of Sri Shahi Veka, marked by
powerful ksangina, having occupied the earth, markets, and forts, by
eightfold forces; the godly image of Siva Bhattaraka and Uma was
established at Maityasya by Parimaha (the great) Maitya. Here Shiva
Bhattaraka is worshiped with great devotion for the merit of both
along with son; hence Siva-Bhattaraka with Uma may protect the
teacher, mother, and father. At the temple of Siva with the embrace
of Uma, eight desired ceremonies should be performed for the
attainment of Svarga. Friends be please. Sri]


Perhaps not a coincidence that the asl Jats (Mann, Her, Bhullar) call themselves Shivagotri.

Megalophias
04-28-2015, 06:19 PM
But so far the spread of WHG admixture even among Brahmins seems to coalesce in an arrow pointing at Haryana.
To Kurukshetra of the epics, the (late?) Rg-vedic Sarasvati, the Brahmavarta of the Manu Smrti? If you're right, that is a remarkably ancient signal.

MonkeyDLuffy
04-28-2015, 06:28 PM
Actually in some ways that was the traditionally Hindu area - especially after 400AD. Shaivite (now considered part of Hinduism) beliefs were spread from Afghanistan, Kashmir, W. Tibet, and the Punjab region.

I doubt Buddhism was very popular anywhere except in Bihar, Himalayan areas, and Lanka. In fact that was the reason, Bihar got its name. Mohammad ibn Bakhtiar Khilji upon inquiring where he was was told he was at a Vihara (in the east pronounced as Bihar) so the name stuck from then-on for the whole region. (Mohammad Khilji was visiting destruction on Odantapuri, Vikramashila, and Nalanda Viharas at that time.)

Buddhist establishments were all over though, but the general population, especially agriculturists, were least bothered. In the west, well before the advent of Arabs, Tormana, Mihirkula and his folk had already dealt a death-blow to Buddhism. They were from the Jaguda/Zabul region of Afghanistan and Iran and had come to rule in the Malwa plateau and the Punjab plains. They were a particularly brutal type of Shiva followers (the Hindu identity had not developed at that time). I would look towards these people as related to a portion of the Jats. They were Brahman-types amongst them too a variety called derisively Gandhara Brahman by Kashmiris.

Xuanzang:

We have inscriptions from places in Afghanistan confirming their Shaivite affinities.
Eg. from Mazar e Sharif (courtesy Dani):


Perhaps not a coincidence that the asl Jats (Mann, Her, Bhullar) call themselves Shivagotri.

Interesting, one thing i would like to add though, shiva has the strongest value in this region. My *ghar da guru* which means *family's god/diety* is shiva. So every shivratri my family goes to a place in nawanshehr, punjab to worship shiva. I have seen lots of jatt families there for same ritual, indicating that they still have same spirituality for shiva.

That's what I meant with tribal rituals still being followed in modern religions. What I noticed there was the worshipping style was different from temples. To be noted the kashmiri brahmins are also shiva worshipers.

On village level, rituals like *satiya pooja* can be still seen among these tribes, even though they are sikhs. one of my exs who was a jatt from ludhiana region, sikh, she and her family still go and do satiya pooja every year. *satiya* is basically a place where they remember and do offerings to their ancestors.

paulgill
04-28-2015, 06:31 PM
They aren't part of the original 4 varna system but are descended from scythians they got assimilated as sudras, jatts are considered obcs. Rajputs have always looked down upon jatts


Jatts have pretty much always been farmers. The British even defined them as an "agricultural caste". They've been a traditional peasant class, sure, but almost exclusively of agricultural occupation/lifestyle. Sudra are not agriculturalists (but Vaishya are, IIRC... and there appears to be plenty of overlap with North Indian Vaishya and Brahmins, at least in lineages from what I've gathered). So that just sounds like stereotypes from other parts of India.

Punjab/Haryana and the entire Indus region is known for its fertile land, that's probably the reason they settled there. From history it seems their original religion (at least pre-Islam) was Buddhism moreso than Hinduism.

The ones that did assimilate into the Hindu social stratus (very few proportionately) merged into neighboring Rajput tribes, since Jatts/Rajputs over the centuries have come to share many tribal surnames as a consequence. But so far genetically we have not seen many Rajput samples, not as many as Jatts anyway. The ones I have found online have surnames shared with Jatt tribes (for example Bhatti is a famous Rajput surname, but my family include the more rare Bhatti Jatts... and at the time of the Arabs, Bhattis were described as an independent tribe alongside Jats, not a part of either). Among Sikhs and Muslims at least there isn't any tension between the two groups and they barely see each other as any different.

The encroach of Arabs caused a great upheaval in the demographics of the Indus valley and probably caused a flurry of contact with the Hindu political/social structure (from Rajasthan and Uttar Pradesh). That's probably also what caused the "Kshatriya" reputation and association with Rajputs since all these groups living in Indus valley and Punjab especially, Jatts, Gujjar, Kamboj, etc were agriculturalists descended from old Buddhist kingdoms (and historically the Hindus who ruled over the Pakistan/Afghanistan area like the Shahi dynasty were also Kshatriya, IIRC, living a similar existence afterwards) and happened to be the ones who were fighting recent invaders (Hephthalites, Arabs, even Mongols).

Plenty of people look down upon Jatts but it's usually for the same reasons:

1. They aren't part of the same caste/social system.

2. They're as endogamous and isolated/insulated as any caste, which naturally fosters differences.

3. They have a reputation for being wild and barbaric. Even in other parts of Pakistan, they call Jatts "jahil" (Arabic-origin term for ignorant or untamed). I think this is more to due with the fact that they are farmers and have a redneck-type reputation. Farmers are culturally looked down upon in cities (at least in Pakistan from my experience). In Afghanistan and Central Asia, they're actually gypsies (Jati). I don't know if those are actual Jatts, paulgill seems to think they're just other South Asians related to the Roma and are called Jatts incorrectly because of the geographical proximity. We'll have to wait and see if any study genotypes them.

Linguistically, the original tongues of Jatts were probably of a Western Punjabi type. They used to call Western Punjabi languages "Jatki" colloquially. Many of these are spoken in Azad Kashmir and on the other side of the Indus. Many Sikhs used to live there and even in Afghanistan in the 19th and early part of 20th century. This is not a traditionally Hindu area, Buddhism was the popular religion when the Arabs came.


^This history is partly why I think Brahmins might have had a different Steppe ancestor than Jatts. A population with more West Asian admixture.

Jatts might not even have had a western Steppe ancestor, it could just be some kind of Central Asian EHG descendant who mixed with South Central Asians in much the same way the ancestor of Yamnaya did (so in Admixture/Oracles it looks like Yamnaya, but it's not descended from Yamnaya).

But so far the spread of WHG admixture even among Brahmins seems to coalesce in an arrow pointing at Haryana.

An alternate theory is that the West Asian is remnant from even before Indo-Europeans. They might have had a class system, albeit a more fluid one, in place before Indo-Aryans, Hinduism, and the caste system. The upper class pre-Hinduism could have become the Brahmins. Meanwhile the WHG came to India with the Indo-Aryans centering on Haryana and social/cultural isolation kept Jatts separate from everyone else for a long time until the last 1500 years. I suppose being socially separated for thousands of years despite living in the same area could wipe out memory of a common origin.

Finding more ancient DNA from eastern Central Asia circa 5000ya could go a long way. At least there the climate might make that more likely than in India outright.

You don't get history and lineage from aDna because that will give different and misleading results based on which local women they picked up once in India etc. Lineage can be traced back through Ydna and mtDna only, and that is why I find aDna of little importance, the autosomal soup is not going to get you anywhere when it comes to your lineage.

parasar
04-28-2015, 06:49 PM
...

Finding more ancient DNA from eastern Central Asia circa 5000ya could go a long way. At least there the climate might make that more likely than in India outright.

There were some reports again about DNA tests from Haryana.
http://www.bbc.com/news/world-asia-india-32313702

The remains recovered from a cemetery in the northern state of Haryana are of two adult males, a female and a child...
Archaeologist Ranvir Singh said scientists from South Korea at the site, equipped with advanced technology, would now attempt to reconstruct the DNA of the skeletons.

tamilgangster
04-28-2015, 07:31 PM
The 4 varna system is full of flaws. Anyone who did not fit was automatically considered shudra. Even my tribe which was exclusive to north west got lumped with jhangid/burhai/mistris when some of us accepted hinduism. Since we did not fit properly in their system, we automatically were considered shudras. Originally all these tribes like sainis, jatts, kambojs, gujjars, tarkhans etc probably followed tribal religions, before introduction to organized religions like hinduism and later islam and Sikhism. Some of the rituals and beliefs can be seen still to this day even if they are following hinduism or sikhism or islam etc.


Reason why these tribes are found exclusively in this region only, never expanded out of north and west of India and Pakistan. And why the roles are different in these societies. These tribes modified hinduism because they refused the shudra status. Even the rajputs popped up few centuries ago, and got accepted as kshtriya because of their rule in rajputana and neighbouring provinces. Same applies for khatri, who are so called kshtriyas. They are not. They were a tribe themselves, not the original kshtriyas. North west has always been a tribal areas. Because these regions were always unstable, getting attacked from west from time to time.

Also OBC does not mean shudra, it means other backward castes, means the castes/tribes are normal status but did not get the chance to progress. That is why they do get reservation but only a small %age and the certificate only works for 1 year. Dont confuse it with SC ST.


Lets keep caste outside of here, it always end up in flamewars and is offtopic too.

Especially in Tamil Nadu all nombrahmins are considered obc including groups such are chettiars vellalars and nadars who are fairly forward

tamilgangster
04-28-2015, 11:20 PM
Let's call ancestors of Brahmins and upper caste hindus A and ancestors of NW tribes B.

A and B are cousins. A entered SA first, contributing to hinduism and buddhism and took over the high caste status, can be called the so called indo aryans.

B came later, in multiple waves, bringing the more west and central asian mixture. B wasn't accepted in A society hence B stayed in NW region, making it its stronghold.

Why I call them cousins is because of shared halogroups. Indicating common ancestor. But the mixture changed because of their arrival in different time period in SA. Which can be seen as the B population scores more west asian mixture.

When B and A mixed, the intermediate population came in existence which is Hindu population of North west, for e.g. look at kashmiri or dogra or punjabi brahmins. Rajputs are good example of that too.
Rajputs are not a single caste they are an alliance of various castes and tribes, so they wouldn't be a good example khatris though are a good example. Punjabi Brahmins did not mix with an invading population.

paulgill
04-29-2015, 12:10 AM
Rajputs are not a single caste they are an alliance of various castes and tribes, so they wouldn't be a good example khatris though are a good example. Punjabi Brahmins did not mix with an invading population. Explain the Greek E Hap among Brahmins then.

tamilgangster
04-29-2015, 12:13 AM
Explain the Greek E Hap among Brahmins then.

That's probably from either gedrosians or yamnya

paulgill
04-29-2015, 12:38 AM
That's probably from either gedrosians or yamnyahahahahahahaha............................

pegasus
04-29-2015, 03:55 AM
That's probably from either gedrosians or yamnya

Yamnya are not the same as Indo Iranians/ BMAC people. Proto Indo Europeans were a diverse group.

tamilgangster
04-29-2015, 07:24 AM
hahahahahahaha............................

Haplogroups are very ancient, predating the existance of modern populations, there are many possibilities for where it came from, SOuth Asia especially the NW has mixed with various south asian populations, it could have come from any of them

tamilgangster
04-29-2015, 07:41 AM
You don't get history and lineage from aDna because that will give different and misleading results based on which local women they picked up once in India etc. Lineage can be traced back through Ydna and mtDna only, and that is why I find aDna of little importance, the autosomal soup is not going to get you anywhere when it comes to your lineage.

Y chromosome DNA is only a small percent of the DNA, and so is mt DNA. Haplogroups are so old that they predate the existance of many modern day populations. Autosomal DNA gives a more wider perspective, Autosomal DNA especially the ratios of the various components, paint a full story, of what happened.

paulgill
04-29-2015, 07:50 AM
Haplogroups are very ancient, predating the existance of modern populations, there are many possibilities for where it came from, SOuth Asia especially the NW has mixed with various south asian populations, it could have come from any of themYa, but the detailed study of Y hap can tell you at what point in time you branched off from the other, so can enable one to determine the source of it.

paulgill
04-29-2015, 08:10 AM
Y chromosome DNA is only a small percent of the DNA, and so is mt DNA. Haplogroups are so old that they predate the existance of many modern day populations. Autosomal DNA gives a more wider perspective, Autosomal DNA especially the ratios of the various components, paint a full story, of what happened.Anything that disappears in 6 or 8 generations, unless you are inbreeding, is a very shaky foundation to build anything on. It certainly tells you what went into the soup though, but it becomes useless beyond that point, that is why I call it Mumbo Jumbo. mtDna helps less as the mutations are very rare, buy Ydna one SNP every 5 generations or so, can certainly tell you who you are related to and when. Ancient samples can further pinpoint the location, culture etc the ancestors belonged to.

MonkeyDLuffy
04-29-2015, 08:32 AM
This site has interesting origin theories of jats

http://www.jatland.com/home/Jat_History

paulgill
04-29-2015, 08:45 AM
This site has interesting origin theories of jats

http://www.jatland.com/home/Jat_HistoryFact and Fiction, I guess.

kenji.aryan
04-29-2015, 10:12 AM
Reason why these tribes are found exclusively in this region only, never expanded out of north and west of India and Pakistan. And why the roles are different in these societies. These tribes modified hinduism because they refused the shudra status. Even the rajputs popped up few centuries ago, and got accepted as kshtriya because of their rule in rajputana and neighbouring provinces. Same applies for khatri, who are so called kshtriyas. They are not. They were a tribe themselves, not the original kshtriyas. North west has always been a tribal areas. Because these regions were always unstable, getting attacked from west from time to time.

.


I don't think Rajputs just popped out, like some jatts try to put it on jatland forum because its not like jatt were rulers or elite class and then Brahmins feared them and then made Rajput clans to defend themselves, thats the shittiest theory i have come across.

Hindu society was always divided in 4 varna and vedas didn't say that varna is hereditary or somethin so, i think it got corruped. Vedas did mention kshatriyas and there role traditionally was to protect society by fighting in wartime and governing in peacetime so varna system were made to protect the people and it was like a society or tribe where people work accordingly to their occupation and duties and everyone has their role to play.

http://en.wikipedia.org/wiki/Kshatriya


So, there is nothing wrong to save your society from outsiders so if Brahmins did use rajputs or kshatriyas to fight against outsider ( can be jatts or any other tribe who is not part of Hindu society and can be threat a to varna/hindu/vedic society) because that what kshatriyas supposed to do similar to todays Army.


There is no way we can tell who is pure Brahmin or Kshatriya or vaishya or shudra because whoever wrote vedas were outside tribe and to protect their identity they formed society based on 4 varna system and then some tribes who came latter or were native got assimilated in already established Hindu society by takin jobs they know or good at so maybe some become kshatriya, some Brahmins, vaishyas and shuras.

tamilgangster
04-29-2015, 12:24 PM
I don't think Rajputs just popped out, like some jatts try to put it on jatland forum because its not like jatt were rulers or elite class and then Brahmins feared them and then made Rajput clans to defend themselves, thats the shittiest theory i have come across.

Hindu society was always divided in 4 varna and vedas didn't say that varna is hereditary or somethin so, i think it got corruped. Vedas did mention kshatriyas and there role traditionally was to protect society by fighting in wartime and governing in peacetime so varna system were made to protect the people and it was like a society or tribe where people work accordingly to their occupation and duties and everyone has their role to play.

http://en.wikipedia.org/wiki/Kshatriya


So, there is nothing wrong to save your society from outsiders so if Brahmins did use rajputs or kshatriyas to fight against outsider ( can be jatts or any other tribe who is not part of Hindu society and can be threat a to varna/hindu/vedic society) because that what kshatriyas supposed to do similar to todays Army.


There is no way we can tell who is pure Brahmin or Kshatriya or vaishya or shudra because whoever wrote vedas were outside tribe and to protect their identity they formed society based on 4 varna system and then some tribes who came latter or were native got assimilated in already established Hindu society by takin jobs they know or good at so maybe some become kshatriya, some Brahmins, vaishyas and shuras.




There has been massive movement between castes, when it comes to changing duties and change in power structures. Sudras have become soldiers, but it still does not make them a kshatriya. Many of the most martial groups are sudras and even dalits. Because Kshatriyas Vaishyas and Brahmins are all twice reborne, and that is determined by lineage and even if sudras rise in terms of power. Sudras who have risen to power are called clean sudras and they include, Kayastas, Marathas, Nairs, and Velallars.

kenji.aryan
04-29-2015, 12:34 PM
There has been massive movement between castes, when it comes to changing duties and change in power structures. Sudras have become soldiers, but it still does not make them a kshatriya. Many of the most martial groups are sudras and even dalits. Because Kshatriyas Vaishyas and Brahmins are all twice reborne, and that is determined by lineage and even if sudras rise in terms of power. Sudras who have risen to power are called clean sudras and they include, Kayastas, Marathas, Nairs, and Velallars.


I think the caste systm of India is very complex and yes, i have heard about Brahmin father and kshatriya offspring forming their own new subcastes like Chettri(from nepal) and khatris etc and it is same with other inter-castes marriages and offsprings too. But all these changes imo are recent after varna system changed or got corrupted but i'm more interested in when did the first Indo-aryans formed this so called varna/Hindu society and who were they.

I also wonder people try to distant themselves from other ethnic group here but then why does they share similar y haplogroups.

paulgill
04-29-2015, 10:44 PM
To Kurukshetra of the epics, the (late?) Rg-vedic Sarasvati, the Brahmavarta of the Manu Smrti? If you're right, that is a remarkably ancient signal.All Vedas were written in the former Punjab and it was known in the olden times as SaptaSindhu.

pegasus
04-30-2015, 03:31 AM
I don't think Rajputs just popped out, like some jatts try to put it on jatland forum because its not like jatt were rulers or elite class and then Brahmins feared them and then made Rajput clans to defend themselves, thats the shittiest theory i have come across.

Hindu society was always divided in 4 varna and vedas didn't say that varna is hereditary or somethin so, i think it got corruped. Vedas did mention kshatriyas and there role traditionally was to protect society by fighting in wartime and governing in peacetime so varna system were made to protect the people and it was like a society or tribe where people work accordingly to their occupation and duties and everyone has their role to play.

http://en.wikipedia.org/wiki/Kshatriya


So, there is nothing wrong to save your society from outsiders so if Brahmins did use rajputs or kshatriyas to fight against outsider ( can be jatts or any other tribe who is not part of Hindu society and can be threat a to varna/hindu/vedic society) because that what kshatriyas supposed to do similar to todays Army.


There is no way we can tell who is pure Brahmin or Kshatriya or vaishya or shudra because whoever wrote vedas were outside tribe and to protect their identity they formed society based on 4 varna system and then some tribes who came latter or were native got assimilated in already established Hindu society by takin jobs they know or good at so maybe some become kshatriya, some Brahmins, vaishyas and shuras.




A member sent me a link to that site a few months back. Its basically a microcosm of the kind of stupidity which is prevalent among many of them and use that to garner some sort of pseudo self pride .
To me they are indistinguishable from other North West Indians.

surbakhunWeesste
04-30-2015, 04:48 AM
I think the caste systm of India is very complex and yes, i have heard about Brahmin father and kshatriya offspring forming their own new subcastes like Chettri(from nepal) and khatris etc and it is same with other inter-castes marriages and offsprings too. But all these changes imo are recent after varna system changed or got corrupted but i'm more interested in when did the first Indo-aryans formed this so called varna/Hindu society and who were they.

I also wonder people try to distant themselves from other ethnic group here but then why does they share similar y haplogroups.

How can they "form" a new subcaste out of the blue. Ksythrira/chettri/kshetriya holds the same meaning in Nepal.

On a quick note: I hope Nepal and Nepalese stay stronger, they sure can use all the help they can get at this moment. Tibetans death toll and injuries report states 25 and 383 respectively and still is rising .
Nepalese people are one of the most hospitable, friendly and accepting people I have met in my life.

surbakhunWeesste
04-30-2015, 05:00 AM
double post.

kenji.aryan
04-30-2015, 05:11 AM
How can they "form" a new subcaste out of the blue. Ksythrira/chettri/kshetriya holds the same meaning in Nepal.

.


There are several recognized ways to enter the Chhetri caste apart from Jharra(pure)Chettri or Khas :

Having nothing but ancestors ultimately tracable to Kshatriyas.
Being the scion of a Brahman father and any other "clean" caste including Magar or other Tibeto-Burman "hill tribes".
The child of a Chhetri father and a woman from these lower but "clean" castes is still Chhetri.[17][18]
An arbitrary community can start following Chhetri caste rules (especially in diet), hiring Bahuns to conduct certain rituals and even to write dubious genealogy. Over generations, these claims of Chhetri affinity become plausible to broader audiences.


I have lot of Nepalese friends and one of my friend who is chhetri told me about his caste .

paulgill
04-30-2015, 05:26 AM
This site has interesting origin theories of jats

[QUOTE=pegasus;81912]A member sent me a link to that site a few months back. Its basically a microcosm of the kind of stupidity which is prevalent among many of them and use that to garner some sort of pseudo self pride . To me they are indistinguishable from other North West Indians.As if you know much about them. Stuff on those sites are full of Facts and Fiction, insiders if well informed can distinguish the fiction from the facts but for the outsiders it very difficult because they end up buying or rejecting all the nonsense spread by the insiders and outsiders.

pegasus
04-30-2015, 06:12 AM
@Gill

It seems I hit a nerve, but no need to be butthurt about it . Well based off my interaction with Indians from that region , they all had the same consensus on the magical Jatts. So perhaps you should take your grievances to them.

FYI , Jatland is mostly fiction :)