Pakistani, Afghan, Iranian, Central Asian DNA results (HarappaWorld)

[Thambi]

In case anyone's confused,

Pathan = Pakistani Pashtuns
Pashtun = Afghan Pashtuns

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

[Coastal Elite]

Look at the Tajiks and their 17% NE European.

[Kyp]

Look at the Tajiks and their 17% NE European.

They still have a lot of Indo-Iranic ancestry

[Thambi]

Look at the Tajiks and their 17% NE European.

Yeah Tajiks on average have the highest steppe related ancestry in Asia

[Mingle]

In case anyone's confused,

Pathan = Pakistani Pashtuns
Pashtun = Afghan Pashtuns

That's not entirely true.

The sample labeled "Pashtun" consists of Pashtuns from both countries - two Pashtuns from Afghanistan (Kandahar, Laghman) and one Pashtun from Pakistan (Peshawar).

The sample labeled "Pathan" mainly consists of Pashtuns from Pakistan but also includes a few Punjabis/Hindkowans.

[Thambi]

That's not entirely true.

The sample labeled "Pashtun" consists of Pashtuns from both countries - two Pashtuns from Afghanistan (Kandahar, Laghman) and one Pashtun from Pakistan (Peshawar).

The sample labeled "Pathan" mainly consists of Pashtuns from Pakistan but also includes a few Punjabis/Hindkowans.

Yeah you're right. Overall the average is 21% S indian if we exclude the 232,239,237, and 258. They seem like the punjabi shifted ones. There are two samples with 11% and 12% S indian with heavy NE asian/siberian (tajik like) and one with heavy SW asian. I didnt exclude them though.

https://docs.google.com/spreadsheets/d/1FBq--tn17RMKHACWNCR8cOv4qvwb5kQis4cW8isNkkU/edit#gid=0

Pashtun average (both), excluding the 4 punjabi shifted samples (HGDP 232, 239, 237, 258)

S Indian 21%
Baloch 40%
Caucasian 17%
NE Euro 12%
SE Asian 1%
Siberian 2%
NE Asian 2%
Papuan 0%
American 1%
Beringian 1%
Mediterranean 1%
SW Asian 3%
San 0%
E African 0%
Pygmy 0%
W African 0%

[Mingle]

Yeah you're right. Overall the average is 21% S indian if we exclude the 232,239,237, and 258. They seem like the punjabi shifted ones. There are two samples with 11% and 12% S indian with heavy NE asian/siberian (tajik like) and one with heavy SW asian. I didnt exclude them though.

https://docs.google.com/spreadsheets/d/1FBq--tn17RMKHACWNCR8cOv4qvwb5kQis4cW8isNkkU/edit#gid=0

Pashtun average (both), excluding the 4 punjabi shifted samples (HGDP 232, 239, 237, 258)

S Indian 21%
Baloch 40%
Caucasian 17%
NE Euro 12%
SE Asian 1%
Siberian 2%
NE Asian 2%
Papuan 0%
American 1%
Beringian 1%
Mediterranean 1%
SW Asian 3%
San 0%
E African 0%
Pygmy 0%
W African 0%

When excluding the outliers with low SI, it's around 21.5% SI or so, basically almost identical to what I get. The 'NW South Asia + SC Asia' spreadsheet has the average without the outliers (both those with a lot and a little SI) calculated.

[WeirdLookingFellow]

Interesting how low SE Asian they have. It really is limited to Bangladesh

[turbosat]

In case anyone's confused,

Pathan = Pakistani Pashtuns
Pashtun = Afghan Pashtuns

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

You have inserted Iranian twice in your pic table.

[hussein khan]

I mean, if you guys want, i can post some tajiki, afghan tajik, afg pashtun(along with pak ones too) and even some herati results, if you guys want it(just in case youre too lazy to look through harrappa world thread where i posted lots of afghans)

ANyway, i never understood why they never added pamiris to the spreadsheet

[hussein khan]

You have inserted Iranian twice in your pic table.

No, there just happen to be two iranian references.

[lameduck]

Look at the Tajiks and their 17% NE European.

There is sample from Northern Pakistan with 19% , some Jatts are reaching 20.

[hussein khan]

There is sample from Northern Pakistan with 19% , some Jatts are reaching 20.

I think youre refering to the kho sample and that one seems to have some tajikstani ancestry, as khos apparently have ancestry from turkics and tajiks through islaminazation.

ANyway, yeah. There are jatts getting that high. Even some rors getting 23,7% SI and 21% NE-euro

[Marmara]

Pamirs get the highest Iranic and NE ancestry.

[Oghuz]

What kind of Iranian is this ?

Persian or Azeri, Kurd, caspian ?

[Kyp]

What kind of Iranian is this ?

Persian or Azeri, Kurd, caspian ?

Obviously Persian

[turbosat]

I mean, if you guys want, i can post some tajiki, afghan tajik, afg pashtun(along with pak ones too) and even some herati results, if you guys want it(just in case youre too lazy to look through harrappa world thread where i posted lots of afghans)

ANyway, i never understood why they never added pamiris to the spreadsheet

Go ahead, post them.

[Oghuz]

Obviously Persian

thats what I felt as well. This cant be an Azeri or Kurd. Looks like central or southern Persian not even north western

[Kyp]

thats what I felt as well. This cant be an Azeri or Kurd. Looks like central or southern Persian not even north western

Looks like regular Persian average. Kurd is possible but definetly not Azeri.

[hussein khan]

Ok, here are some pashtuns:

Kandaharis:

Admix Results (sorted):

# Population Percent
1 Baloch 34.2
2 Caucasian 26.44
3 S-Indian 14.6
4 NE-Euro 12.87
5 SW-Asian 3.16
6 Mediterranean 2.69
7 Siberian 2.15
8 NE-Asian 1.18
9 Beringian 1.07
10 American 1.01
11 W-African 0.63









Population
S-Indian 15.28 Pct
Baloch 35.50 Pct
Caucasian 23.82 Pct
NE-Euro 12.01 Pct
SE-Asian -
Siberian 1.24 Pct
NE-Asian 1.40 Pct
Papuan -
American 0.14 Pct
Beringian 1.27 Pct
Mediterranean 3.58 Pct
SW-Asian 5.20 Pct
San -
E-African -
Pygmy -
W-African 0.57 Pct





Population
S-Indian 15.10 Pct
Baloch 35.35 Pct
Caucasian 22.82 Pct
NE-Euro 13.63 Pct
SE-Asian -
Siberian 2.31 Pct
NE-Asian 0.85 Pct
Papuan -
American 1.06 Pct
Beringian 0.46 Pct
Mediterranean 3.37 Pct
SW-Asian 4.89 Pct
San 0.12 Pct
E-African 0.05 Pct
Pygmy -
W-African -


opulation
S-Indian 20.64 Pct
Baloch 35.29 Pct
Caucasian 20.32 Pct
NE-Euro 12.57 Pct
SE-Asian 1.33 Pct
Siberian 0.50 Pct
NE-Asian 2.50 Pct
Papuan -
American 1.30 Pct
Beringian 0.70 Pct
Mediterranean 2.01 Pct
SW-Asian 2.85 Pct
San -
E-African -
Pygmy -
W-African -



But tbh, i dont feel like to post the same results over again i posted in harrappaworld thread. If you want to see them, you can check them in the later pages in harrappaworld thread

[turbosat]

No, there just happen to be two iranian references.

@Thambi posted same one (Behar) twice. They are slightly different, as below.



<tbody>
Ethnicity
Dataset
N
S Indian
Baloch
Caucasian
NE Euro
SE Asian
Siberian
NE Asian
Papuan
American
Beringian
Mediterranean
SW Asian
San
E African
Pygmy
W African


iranian
behar
19
4%
27%
39%
4%
0%
1%
1%
0%
0%
0%
5%
15%
0%
1%
0%
1%


iranian
harappa
11
4%
27%
40%
5%
1%
2%
1%
1%
0%
1%
5%
11%
0%
0%
0%
0%

</tbody>




<style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style>

[Kyp]

@Thambi posted same one (Behar) twice. They are slightly different, as below.



<tbody>
Ethnicity
Dataset
N
S Indian
Baloch
Caucasian
NE Euro
SE Asian
Siberian
NE Asian
Papuan
American
Beringian
Mediterranean
SW Asian
San
E African
Pygmy
W African


iranian
behar
19
4%
27%
39%
4%
0%
1%
1%
0%
0%
0%
5%
15%
0%
1%
0%
1%


iranian
harappa
11
4%
27%
40%
5%
1%
2%
1%
1%
0%
1%
5%
11%
0%
0%
0%
0%

</tbody>




<style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style>

2nd one looks Azeri influenced like most Teheran region Persians.

[Leto]

But tbh, i dont feel like to post the same results over again i posted in harrappaworld thread. If you want to see them, you can check them in the later pages in harrappaworld thread
I think someone could take those results you posted and put them here. That thread (Post your Harappa World results) was intended for the members, not for some random people.

[hussein khan]

I think someone could take those results you posted and put them here. That thread (Post your Harappa World results) was intended for the members, not for some random people.

Yeah, but i havent posted all the afghan kits i have left though and i feel like it be a bit tiring....but i feel like a can post some i havent posted before maybe about some minutes...

[Zoro]

@Thambi posted same one (Behar) twice. They are slightly different, as below.



<tbody>
Ethnicity
Dataset
N
S Indian
Baloch
Caucasian
NE Euro
SE Asian
Siberian
NE Asian
Papuan
American
Beringian
Mediterranean
SW Asian
San
E African
Pygmy
W African


iranian
behar
19
4%
27%
39%
4%
0%
1%
1%
0%
0%
0%
5%
15%
0%
1%
0%
1%


iranian
harappa
11
4%
27%
40%
5%
1%
2%
1%
1%
0%
1%
5%
11%
0%
0%
0%
0%

</tbody>




<style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style>


Those Iranians are similar to what I get


# Population Percent
1 Caucasian 35.31
2 Baloch 27.1
3 SW-Asian 12.8
4 Mediterranean 5.65
5 S-Indian 4.31
6 NE-Euro 3.93
7 NE-Asian 3.62
8 Siberian 2.5
9 SE-Asian 1.36
10 W-African 1.08
11 Beringian 0.79
12 American 0.59
13 E-African 0.56
14 Papuan 0.33
15 San 0.08

[Kyp]

Those Iranians are similar to what I get


# Population Percent
1 Caucasian 35.31
2 Baloch 27.1
3 SW-Asian 12.8
4 Mediterranean 5.65
5 S-Indian 4.31
6 NE-Euro 3.93
7 NE-Asian 3.62
8 Siberian 2.5
9 SE-Asian 1.36
10 W-African 1.08
11 Beringian 0.79
12 American 0.59
13 E-African 0.56
14 Papuan 0.33
15 San 0.08


Different from my father (Azeri)
1 Caucasian 39.44
2 Baloch 21.23
3 NE-Euro 10.91
4 SW-Asian 8.6
5 Mediterranean 6.88
6 S-Indian 4.26
7 NE-Asian 3.91
8 Siberian 3.58
9 Beringian 0.52
10 E-African 0.44
11 SE-Asian 0.23

[Zoro]

Different from my father (Azeri)
1 Caucasian 39.44
2 Baloch 21.23
3 NE-Euro 10.91
4 SW-Asian 8.6
5 Mediterranean 6.88
6 S-Indian 4.26
7 NE-Asian 3.91
8 Siberian 3.58
9 Beringian 0.52
10 E-African 0.44
11 SE-Asian 0.23


Yeah generally Azeris get less Baloch than Kurds ( probably because Kurds have a little more Parthian or Mede ancestry) but your dad has higher NE Euro and lower SW Asian but otherwise kind of similar. This is not one of my favorite calculators though

Otherwise many Azeris are extremely similar to Kurds

[lameduck]

two interesting results one from Chitral and other from Swat

Saidu Sharif Swat Pakistan H15a1a1 n/a (female) 361-203 BCE I6893

"Grave 7, single burial, DA-SIM0317-111 (I6893): Date of 361-203 calBCE (2210±20 BP,
PSUAMS-3721). Genetically female. Disconnected incomplete remains of a 30 to 40 year
old female, laying on the right flank facing left north (more information on the grave can be
obtained from page 21 of ref. (204))."

103594 SNPs used in this evaluation

Kit QY9126724

Admix Results (sorted):

# Population Percent
1 Baloch 31.25
2 S-Indian 28.17
3 NE-Euro 14.19
4 Caucasian 9.79
5 Mediterranean 9.33
6 W-African 1.96
7 American 1.81
8 Beringian 1.48
9 SE-Asian 1.26
10 Papuan 0.76

Single Population Sharing:

# Population (source) Distance
1 haryana-jatt (harappa) 8.97
2 punjabi-jatt-sikh (harappa) 11.08
3 up-muslim (harappa) 11.36
4 kashmiri (harappa) 12.14
5 punjabi-khatri (harappa) 12.33
6 punjabi-jatt-muslim (harappa) 12.52
7 nepalese-a (xing) 12.75
8 kashmiri-pandit (reich) 13.01
9 punjabi-brahmin (harappa) 13.13
10 punjabi (harappa) 13.17
11 singapore-indian-c (sgvp) 13.4
12 gujarati-muslim (harappa) 13.81
13 punjabi-ramgarhia (harappa) 14.15
14 kashmiri-pahari (harappa) 14.43
15 sindhi (harappa) 14.55
16 up-brahmin (harappa) 14.61
17 pathan (hgdp) 14.81
18 punjabi-arain (xing) 15.52
19 burusho (hgdp) 15.86
20 bengali-brahmin (harappa) 15.93

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80% punjabi-brahmin (harappa) + 20% spaniard (1000genomes) @ 3.76
2 82% up-muslim (harappa) + 18% french (hgdp) @ 3.96
3 82.9% up-muslim (harappa) + 17.1% british (1000genomes) @ 4.03
4 82.4% kashmiri-pandit (reich) + 17.6% spain-basc (henn2012) @ 4.09
5 78.4% punjabi-brahmin (harappa) + 21.6% puerto-rican (1000genomes) @ 4.1
6 82.7% up-muslim (harappa) + 17.3% utahn-white (1000genomes) @ 4.11
7 83.2% up-muslim (harappa) + 16.8% orcadian (hgdp) @ 4.18
8 82.9% kashmiri-pandit (reich) + 17.1% basque (hgdp) @ 4.18
9 77.1% up-brahmin (harappa) + 22.9% italian (hgdp) @ 4.21
10 79.8% singapore-indian-c (sgvp) + 20.2% spaniard (1000genomes) @ 4.22
11 76.5% up-brahmin (harappa) + 23.5% tuscan (hapmap) @ 4.27
12 80.3% kashmiri-pandit (reich) + 19.7% spaniard (1000genomes) @ 4.27
13 82.4% punjabi-brahmin (harappa) + 17.6% spain-basc (henn2012) @ 4.33
14 82.4% punjabi (harappa) + 17.6% spain-basc (henn2012) @ 4.39
15 78.2% singapore-indian-c (sgvp) + 21.8% puerto-rican (1000genomes) @ 4.39
16 76.5% up-brahmin (harappa) + 23.5% tuscan (1000genomes) @ 4.41
17 80.2% punjabi (harappa) + 19.8% spaniard (1000genomes) @ 4.43
18 82.8% punjabi-brahmin (harappa) + 17.2% basque (hgdp) @ 4.44
19 83% up-muslim (harappa) + 17% n-european (xing) @ 4.47
20 79.7% punjabi (harappa) + 20.3% french (hgdp) @ 4.47



Singoor_Medieval I1805 M3a1 R1a1a1b2a2b 1485-1650 calCE (310±30 BP, Beta-428668)

89998 SNPs used in this evaluation

Kit LQ4847946

Admix Results (sorted):

# Population Percent
1 Baloch 35.78
2 NE-Euro 19.15
3 Caucasian 16.68
4 S-Indian 15.11
5 Siberian 3.62
6 Mediterranean 2.81
7 NE-Asian 1.98
8 Beringian 1.34
9 Papuan 1.25
10 W-African 0.9
11 American 0.76
12 Pygmy 0.45
13 SE-Asian 0.17

Single Population Sharing:

# Population (source) Distance
1 pashtun (harappa) 9.93
2 tajik (yunusbayev) 11.2
3 pathan (hgdp) 12.14
4 kalash (hgdp) 12.69
5 haryana-jatt (harappa) 12.89
6 burusho (hgdp) 14.15
7 punjabi-jatt-sikh (harappa) 15.3
8 sindhi (harappa) 15.54
9 punjabi-khatri (harappa) 15.64
10 bhatia (harappa) 15.66
11 kashmiri (harappa) 16.96
12 punjabi-jatt-muslim (harappa) 18.37
13 kashmiri-pandit (reich) 19.13
14 punjabi (harappa) 20.09
15 punjabi-brahmin (harappa) 20.28
16 punjabi-arain (xing) 20.73
17 singapore-indian-c (sgvp) 20.79
18 nepalese-a (xing) 20.92
19 sindhi (hgdp) 21.13
20 turkmen (yunusbayev) 21.29

Mixed Mode Population Sharing:



# Primary Population (source) Secondary Population (source) Distance
1 77.7% kalash (hgdp) + 22.3% chuvash (behar) @ 3.54
2 79.9% kalash (hgdp) + 20.1% mordovian (yunusbayev) @ 3.63
3 53.9% tajik (yunusbayev) + 46.1% haryana-jatt (harappa) @ 3.74
4 80.1% kalash (hgdp) + 19.9% ukranian (yunusbayev) @ 3.87
5 81.3% kalash (hgdp) + 18.7% russian (behar) @ 4
6 81.5% kalash (hgdp) + 18.5% belorussian (behar) @ 4.11
7 79.1% kalash (hgdp) + 20.9% slovenian (xing) @ 4.2
8 78.9% kalash (hgdp) + 21.1% hungarian (behar) @ 4.3
9 83.1% kalash (hgdp) + 16.9% lithuanian (behar) @ 4.58
10 80.7% kalash (hgdp) + 19.3% n-european (xing) @ 4.86
11 80.9% kalash (hgdp) + 19.1% utahn-white (hapmap) @ 5.02
12 85.1% kalash (hgdp) + 14.9% finnish (1000genomes) @ 5.06
13 79.3% pathan (hgdp) + 20.7% chuvash (behar) @ 5.08
14 59.1% tajik (yunusbayev) + 40.9% punjabi-jatt-sikh (harappa) @ 5.13
15 81.4% pathan (hgdp) + 18.6% mordovian (yunusbayev) @ 5.18
16 80.9% kalash (hgdp) + 19.1% utahn-white (1000genomes) @ 5.22
17 82.7% pathan (hgdp) + 17.3% russian (behar) @ 5.34
18 81.6% pathan (hgdp) + 18.4% ukranian (yunusbayev) @ 5.36
19 70% haryana-jatt (harappa) + 30% stalskoe (xing) @ 5.4
20 81.3% kalash (hgdp) + 18.7% british (1000genomes) @ 5.41

[lameduck]

Darra.I.Kur Afghanistan (Darra.I.Kur_d): Previously reported date of 2850-2460 calBCE (3989±31 BP,
OxA-31781). Genetically male.

86931 SNPs used in this evaluation

Kit EP3593950

Admix Results (sorted):

# Population Percent
1 NE-Euro 29.63
2 Mediterranean 20.25
3 Baloch 19.39
4 Caucasian 18.5
5 SW-Asian 3.19
6 W-African 2.45
7 S-Indian 1.48
8 Siberian 1.09
9 American 0.88
10 Beringian 0.81
11 Papuan 0.76
12 E-African 0.72
13 SE-Asian 0.6
14 San 0.26

Single Population Sharing:

# Population (source) Distance
1 romanian-a (behar) 15.48
2 bulgarian (yunusbayev) 17.01
3 tuscan (hgdp) 20.54
4 tuscan (hapmap) 20.66
5 tuscan (1000genomes) 20.68
6 italian (hgdp) 21.15
7 hungarian (behar) 21.58
8 french (hgdp) 23.06
9 slovenian (xing) 23.1
10 ashkenazi (harappa) 23.46
11 tajik (yunusbayev) 24.96
12 ashkenazy-jew (behar) 25.21
13 turk-aydin (hodoglugil) 25.57
14 romanian-b (behar) 25.85
15 spaniard (behar) 26.4
16 utahn-white (1000genomes) 26.8
17 stalskoe (xing) 26.86
18 n-european (xing) 27.07
19 spaniard (1000genomes) 27.43
20 utahn-white (hapmap) 27.67

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54% orcadian (hgdp) + 46% kurd (harappa) @ 4.31
2 54.3% orcadian (hgdp) + 45.7% iranian (behar) @ 4.33
3 55.8% british (1000genomes) + 44.2% iranian (behar) @ 4.35
4 57% utahn-white (1000genomes) + 43% iranian (behar) @ 4.61
5 55.5% british (1000genomes) + 44.5% kurd (harappa) @ 4.66
6 56.7% utahn-white (1000genomes) + 43.3% kurd (harappa) @ 5.04
7 56.8% n-european (xing) + 43.2% iranian (behar) @ 5.5
8 52.1% french (hgdp) + 47.9% tajik (yunusbayev) @ 5.73
9 50.3% british (1000genomes) + 49.7% turkmen (yunusbayev) @ 5.87
10 51.5% utahn-white (1000genomes) + 48.5% turkmen (yunusbayev) @ 5.88
11 56.5% n-european (xing) + 43.5% kurd (harappa) @ 5.88
12 52.8% orcadian (hgdp) + 47.2% turkish (harappa) @ 5.91
13 53.8% orcadian (hgdp) + 46.2% azeri (harappa) @ 5.98
14 76.9% romanian-a (behar) + 23.1% brahui (hgdp) @ 6.06
15 55.5% french (hgdp) + 44.5% turkmen (yunusbayev) @ 6.19
16 51.3% turkmen (yunusbayev) + 48.7% orcadian (hgdp) @ 6.38
17 76.1% romanian-a (behar) + 23.9% balochi (hgdp) @ 6.45
18 76.2% romanian-a (behar) + 23.8% makrani (hgdp) @ 6.52
19 55.5% british (1000genomes) + 44.5% azeri (harappa) @ 6.53
20 54.4% british (1000genomes) + 45.6% turkish (harappa) @ 6.6

[lameduck]

Katon I6709 1391-1196 BCE

"Genetically female. Skeletally a child, 5 to 6 years
old. This individual is genetically to the Steppe_LBA analysis label."

75109 SNPs used in this evaluation

Kit AC4431799

Admix Results (sorted):

# Population Percent
1 NE-Euro 39.66
2 Baloch 24.78
3 Caucasian 14.31
4 Mediterranean 11.69
5 Siberian 2.7
6 American 1.9
7 S-Indian 1.75
8 W-African 1.51
9 Beringian 0.8
10 Papuan 0.5
11 SE-Asian 0.39

Single Population Sharing:

# Population (source) Distance
1 hungarian (behar) 21.97
2 slovenian (xing) 22.56
3 romanian-a (behar) 23.39
4 chuvash (behar) 24.02
5 ukranian (yunusbayev) 24.72
6 bulgarian (yunusbayev) 25.06
7 mordovian (yunusbayev) 25.07
8 tajik (yunusbayev) 25.76
9 n-european (xing) 26.49
10 utahn-white (hapmap) 26.96
11 utahn-white (1000genomes) 27.06
12 british (1000genomes) 28.13
13 french (hgdp) 28.2
14 orcadian (hgdp) 28.68
15 russian (hgdp) 28.69
16 russian (behar) 29.12
17 belorussian (behar) 29.27
18 stalskoe (xing) 30.23
19 urkarah (xing) 31.49
20 nogai (yunusbayev) 32.26

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.5% ukranian (yunusbayev) + 33.5% brahui (hgdp) @ 6.01
2 65.7% ukranian (yunusbayev) + 34.3% makrani (hgdp) @ 6.06
3 61.8% russian (behar) + 38.2% makrani (hgdp) @ 6.09
4 62.5% russian (behar) + 37.5% brahui (hgdp) @ 6.12
5 65.4% ukranian (yunusbayev) + 34.6% balochi (hgdp) @ 6.14
6 61.4% russian (behar) + 38.6% balochi (hgdp) @ 6.36
7 61.7% belorussian (behar) + 38.3% makrani (hgdp) @ 6.42
8 65.5% mordovian (yunusbayev) + 34.5% makrani (hgdp) @ 6.57
9 57.8% tajik (yunusbayev) + 42.2% lithuanian (behar) @ 6.59
10 61.3% belorussian (behar) + 38.7% balochi (hgdp) @ 6.73
11 62.5% belorussian (behar) + 37.5% brahui (hgdp) @ 6.85
12 65.2% mordovian (yunusbayev) + 34.8% balochi (hgdp) @ 6.9
13 66.3% mordovian (yunusbayev) + 33.7% brahui (hgdp) @ 6.99
14 53.4% tajik (yunusbayev) + 46.6% belorussian (behar) @ 7.31
15 51.1% ukranian (yunusbayev) + 48.9% tajik (yunusbayev) @ 7.61
16 61.3% ukranian (yunusbayev) + 38.7% kalash (hgdp) @ 7.85
17 50.7% mordovian (yunusbayev) + 49.3% tajik (yunusbayev) @ 7.99
18 57.5% lithuanian (behar) + 42.5% makrani (hgdp) @ 8.34
19 53.4% tajik (yunusbayev) + 46.6% russian (behar) @ 8.45
20 69.3% slovenian (xing) + 30.7% brahui (hgdp) @ 8.49

[hussein khan]

Yeah generally Azeris get less Baloch than Kurds ( probably because Kurds have a little more Parthian or Mede ancestry) but your dad has higher NE Euro and lower SW Asian but otherwise kind of similar. This is not one of my favorite calculators though

Otherwise many Azeris are extremely similar to Kurds

Wow, youre back again. where you been?

[Zoro]

Wow, youre back again. where you been?

Just taking care of personal things bro. This genetics stuff is just a side hobby for me :)

[Babak]

4% is too low. Should be around 6-9

[Kyp]

4% is too low. Should be around 6-9

what do you mean?

[NPKTO]

Katon I6709 1391-1196 BCE

"Genetically female. Skeletally a child, 5 to 6 years
old. This individual is genetically to the Steppe_LBA analysis label."

75109 SNPs used in this evaluation

Kit AC4431799

Admix Results (sorted):

# Population Percent
1 NE-Euro 39.66
2 Baloch 24.78
3 Caucasian 14.31
4 Mediterranean 11.69
5 Siberian 2.7
6 American 1.9
7 S-Indian 1.75
8 W-African 1.51
9 Beringian 0.8
10 Papuan 0.5
11 SE-Asian 0.39

Single Population Sharing:

# Population (source) Distance
1 hungarian (behar) 21.97
2 slovenian (xing) 22.56
3 romanian-a (behar) 23.39
4 chuvash (behar) 24.02
5 ukranian (yunusbayev) 24.72
6 bulgarian (yunusbayev) 25.06
7 mordovian (yunusbayev) 25.07
8 tajik (yunusbayev) 25.76
9 n-european (xing) 26.49
10 utahn-white (hapmap) 26.96
11 utahn-white (1000genomes) 27.06
12 british (1000genomes) 28.13
13 french (hgdp) 28.2
14 orcadian (hgdp) 28.68
15 russian (hgdp) 28.69
16 russian (behar) 29.12
17 belorussian (behar) 29.27
18 stalskoe (xing) 30.23
19 urkarah (xing) 31.49
20 nogai (yunusbayev) 32.26

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.5% ukranian (yunusbayev) + 33.5% brahui (hgdp) @ 6.01
2 65.7% ukranian (yunusbayev) + 34.3% makrani (hgdp) @ 6.06
3 61.8% russian (behar) + 38.2% makrani (hgdp) @ 6.09
4 62.5% russian (behar) + 37.5% brahui (hgdp) @ 6.12
5 65.4% ukranian (yunusbayev) + 34.6% balochi (hgdp) @ 6.14
6 61.4% russian (behar) + 38.6% balochi (hgdp) @ 6.36
7 61.7% belorussian (behar) + 38.3% makrani (hgdp) @ 6.42
8 65.5% mordovian (yunusbayev) + 34.5% makrani (hgdp) @ 6.57
9 57.8% tajik (yunusbayev) + 42.2% lithuanian (behar) @ 6.59
10 61.3% belorussian (behar) + 38.7% balochi (hgdp) @ 6.73
11 62.5% belorussian (behar) + 37.5% brahui (hgdp) @ 6.85
12 65.2% mordovian (yunusbayev) + 34.8% balochi (hgdp) @ 6.9
13 66.3% mordovian (yunusbayev) + 33.7% brahui (hgdp) @ 6.99
14 53.4% tajik (yunusbayev) + 46.6% belorussian (behar) @ 7.31
15 51.1% ukranian (yunusbayev) + 48.9% tajik (yunusbayev) @ 7.61
16 61.3% ukranian (yunusbayev) + 38.7% kalash (hgdp) @ 7.85
17 50.7% mordovian (yunusbayev) + 49.3% tajik (yunusbayev) @ 7.99
18 57.5% lithuanian (behar) + 42.5% makrani (hgdp) @ 8.34
19 53.4% tajik (yunusbayev) + 46.6% russian (behar) @ 8.45
20 69.3% slovenian (xing) + 30.7% brahui (hgdp) @ 8.49
She looks like BMAC + Corded Ware/Sintashta. Very good proxy for ancestor of Indo Aryans imo.

[Trouble]

Look at the Tajiks and their 17% NE European.


Yeah Tajiks on average have the highest steppe related ancestry in Asia

AFAIK those are Pamiris and not real Tajik speakers. Actually a lot of the Afghan Tajiks are indistinguishable from Pashtuns genetically.

[Thambi]

4% is too low. Should be around 6-9

no 4% for iranians is about right. south indian on harappa and dodecad is majority ASI, around 75-80%. while on other calcs, south asian component is a bit western shifted with some gedrosian like pull, giving a higher amount for west eurasians than usual.

[Babak]

no 4% for iranians is about right. south indian on harappa and dodecad is majority ASI, around 75-80%. while on other calcs, south asian component is a bit western shifted with some gedrosian like pull, giving a higher amount for west eurasians than usual.

Too low dawg. Global 25 puts us around 7

[Thambi]

Too low dawg. Global 25 puts us around 7

wait really? the iranian averages I've seen on G25 get nothing more than 2% ASI, except for bandaris. Actually you guys get more mongoloid than ASI

https://i.imgur.com/KHBn8sf.png

[Babak]

wait really? the iranian averages I've seen on G25 get nothing more than 2% ASI, except for bandaris. Actually you guys get more mongoloid than ASI

https://i.imgur.com/KHBn8sf.png

Hmm, i guess 4% is right then lmao

[Leto]

Too low dawg. Global 25 puts us around 7
Take a test and show us your tr00 Achaemenid results! :p

[Zoro]

wait really? the iranian averages I've seen on G25 get nothing more than 2% ASI, except for bandaris. Actually you guys get more mongoloid than ASI

https://i.imgur.com/KHBn8sf.png

Anyone with a little common sense can easily see that G25 is a big joke. How the hell do south Iranian Bandaris have a 100 times more steppe Sintashta than Mazendarani north Iranians !! It should be the other way around.

Useless as far as I’m concerned. The AASI, Mongola and other numbers are all screwed up also

[Babak]

Anyone with a little common sense can easily see that G25 is a big joke. How the hell do south Iranian Bandaris have a 100 times more steppe Sintashta than Mazendarani north Iranians !! It should be the other way around.

Useless as far as I’m concerned. The AASI, Mongola and other numbers are all screwed up also

Sistanis have more steppe than mazandaranis btw

[NPKTO]

Anyone with a little common sense can easily see that G25 is a big joke. How the hell do south Iranian Bandaris have a 100 times more steppe Sintashta than Mazendarani north Iranians !! It should be the other way around.

Useless as far as I’m concerned. The AASI, Mongola and other numbers are all screwed up also
Steppe influence is more in Eastern Iranic subgroups. Western Iranian have more Med + CHG admixture.
https://i.imgur.com/IuBxAl3.jpg

[Zoro]

Steppe influence is more in Eastern Iranic subgroups. Western Iranian have more Med + CHG admixture.
https://i.imgur.com/IuBxAl3.jpg

Show me where I said that Western Iranics have more steppe than Eastern Iranics :confused:

I’m saying that the day Northern Iranian Mazendaranis have 0 steppe Sintashta and the day South Iranian Bandaris have 10 times more Sintashta steppe than Northern Iranian Mazendaranis like the G25 says is the day pigs start flying !

What’s wrong with you guys wake up and smell the coffee :picard1:

It’s time to see those clowns at Anthrogenica and Davidski for what they really are. A bunch of clueless idiots

[NPKTO]

Show me where I said that Western Iranics have more steppe than Eastern Iranics :confused:

I’m saying that the day Northern Iranian Mazendaranis have 0 steppe Sintashta and the day South Iranian Bandaris have 10 times more Sintashta steppe than Northern Iranian Mazendaranis like the G25 says is the day pigs start flying !

What’s wrong with you guys wake up and smell the coffee :picard1:

It’s time to see those clowns at Anthrogenica and Davidski for what they really are. A bunch of clueless idiots
Lol no you didn't say that. While modeling West Asians, you've to be very careful in choosing Steppe component. Using Yamnaya is much safer because it is not as Anatolian_EEF heavy as Sintashta. I think this model extracted out Steppe better.

[Zoro]

Lol no you didn't say that. While modeling West Asians, you've to be very careful in choosing Steppe component. Using Yamnaya is much safer because it is not as Anatolian_EEF heavy as Sintashta. I think this model extracted out Steppe better.

Well any calculator whether G25 or anything else that gives stupid results such as N. Iranian with 0% Sintashta steppe and S. Iranian Bandaris with 10 times more Sintashta steppe just because Anatolia EEF was included is a POS calculator.

Even ADMIXTURE know better than that. There are a couple of calculators on gedmatch that have both Sintashta and EEF but they still work fine and don’t give idiotic results like that. Sintashta and EEF are not the same . No need for excuses for G25

The MDLP k11 by Vadim who is much more technical person than Davidski gives me 34% EHG (Steppe marker). N Iranians should be close to me

MDLP K11 2xOracle and OracleX4

Admix Results (sorted):

# Population Percent
1 EHG 34.68
2 Basal 23.92
3 Neolithic 13.10
4 ASI 9.49
5 SEA 6.80
6 Iran-Mesolithic 6.50
7 WHG 1.96
8 African 1.85
9 Siberian 1.13


Finished reading population data. 161 populations found.
11 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Iran_Chalcolithic @ 13.402205
2 Armenia_MLBA @ 17.022766
3 Armenia_MBA @ 19.655437
4 Armenia_Chalcolithic @ 20.643805
5 Armenia_LBA @ 20.939823
6 Armenia_EBA @ 21.152573
7 Iran_LN @ 22.274822
8 Iran_Mesolithic @ 34.011688
9 Hungary_IronAge @ 36.024734
10 Iran_N @ 36.762024
11 British_Roman @ 37.093658
12 Russia_IA @ 39.778934
13 Scythian_IA @ 40.623672
14 Anatolia_Chalcolithic @ 42.658421
15 Kostenki14_Upper_Paleolithic @ 42.816273
16 Vestonice14_Gravettian @ 43.836662
17 Satsurblia_CHG @ 44.088249
18 Irish_BA @ 44.410225
19 Iron_Age @ 44.545898
20 Siberian_Upper_Paleolithic @ 44.700199

Using 2 populations approximation:
1 50% British_Roman +50% Iran_Mesolithic @ 10.754436


Using 3 populations approximation:
1 50% Iran_Chalcolithic +25% Iran_Chalcolithic +25% Ust_Ishim_Upper_Ãœaleolothic @ 9.157703

[NPKTO]

Well any calculator whether G25 or anything else that gives stupid results such as N. Iranian with 0% Sintashta steppe and S. Iranian Bandaris with 10 times more Sintashta steppe just because Anatolia EEF was included is a POS calculator.

Even ADMIXTURE know better than that. There are a couple of calculators on gedmatch that have both Sintashta and EEF but they still work fine and don’t give idiotic results like that. Sintashta and EEF are not the same . No need for excuses for G25

The MDLP k11 by Vadim who is much more technical person than Davidski gives me 34% EHG (Steppe marker). N Iranians should be close to me

MDLP K11 2xOracle and OracleX4

Admix Results (sorted):

# Population Percent
1 EHG 34.68
2 Basal 23.92
3 Neolithic 13.10
4 ASI 9.49
5 SEA 6.80
6 Iran-Mesolithic 6.50
7 WHG 1.96
8 African 1.85
9 Siberian 1.13


Finished reading population data. 161 populations found.
11 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Iran_Chalcolithic @ 13.402205
2 Armenia_MLBA @ 17.022766
3 Armenia_MBA @ 19.655437
4 Armenia_Chalcolithic @ 20.643805
5 Armenia_LBA @ 20.939823
6 Armenia_EBA @ 21.152573
7 Iran_LN @ 22.274822
8 Iran_Mesolithic @ 34.011688
9 Hungary_IronAge @ 36.024734
10 Iran_N @ 36.762024
11 British_Roman @ 37.093658
12 Russia_IA @ 39.778934
13 Scythian_IA @ 40.623672
14 Anatolia_Chalcolithic @ 42.658421
15 Kostenki14_Upper_Paleolithic @ 42.816273
16 Vestonice14_Gravettian @ 43.836662
17 Satsurblia_CHG @ 44.088249
18 Irish_BA @ 44.410225
19 Iron_Age @ 44.545898
20 Siberian_Upper_Paleolithic @ 44.700199

Using 2 populations approximation:
1 50% British_Roman +50% Iran_Mesolithic @ 10.754436


Using 3 populations approximation:
1 50% Iran_Chalcolithic +25% Iran_Chalcolithic +25% Ust_Ishim_Upper_Ãœaleolothic @ 9.157703

Are you sure EHG in this calculator does not include ANE aspect of CHG/Iran_N? Iran_N/CHG should be ~40-45% ANE.

[Zoro]

Are you sure EHG in this calculator does not include ANE aspect of CHG/Iran_N? Iran_N/CHG should be ~40-45% ANE.

Ok fine to make things simple and so there is no confusion, Dilawer Khan at Eurasiandna.com modeled kurds using qpAdm which is what the scientific papers use and not G25 which is unheard of in the scientific community.

To remove all ambiguity he modeled kurds as a mix of Iran chl and steppe. For steppe he used Sintashta and Saka. Iran chl is a very good proxy of majority of ancestry in kurds and iranians and it already contains Anatolia EEF, Iran N, and CHG.

Dilawer got about 71-82% Haji Firuz chl + 17-30% Sintashta depending on kurdish sample but unlike G25 or ADMIXTURE qpAdm tells you if the model is pass or fail. Unfortunately the model was fail because Sintashta and Haji firuz chl didn’t have enough east Eurasian to account for modern kurds.

So he did Haji firuz chl + Saka and the models passed very well. Anyways the amount of Saka which is proxy for steppe and east Eurasian ranged between 22-35% depending on kurdish sample. So you can get idea how much Steppe we are talking about.

All this is at https://eurasiandna.com/impact-of-the-iron-age-saka-and-scythians-on-south-west-asian-demography/

[Kyp]

Ok fine to make things simple and so there is no confusion, Dilawer Khan at Eurasiandna.com modeled kurds using qpAdm which is what the scientific papers use and not G25 which is unheard of in the scientific community.

To remove all ambiguity he modeled kurds as a mix of Iran chl and steppe. For steppe he used Sintashta and Saka. Iran chl is a very good proxy of majority of ancestry in kurds and iranians and it already contains Anatolia EEF, Iran N, and CHG.

Dilawer got about 71-82% Haji Firuz chl + 17-30% Sintashta depending on kurdish sample but unlike G25 or ADMIXTURE qpAdm tells you if the model is pass or fail. Unfortunately the model was fail because Sintashta and Haji firuz chl didn’t have enough east Eurasian to account for modern kurds.

So he did Haji firuz chl + Saka and the models passed very well. Anyways the amount of Saka which is proxy for steppe and east Eurasian ranged between 22-35% depending on kurdish sample. So you can get idea how much Steppe we are talking about.

All this is at https://eurasiandna.com/impact-of-the-iron-age-saka-and-scythians-on-south-west-asian-demography/

Come on Haji Firuz + Saka can't be accurate. What about pre-saka iranic migrations then?
No median/aryan ancestry whatsoever? The reality is probably: Haji-firuz+Early iranian+minor Scythian/Saka+ minor Turkic (through neighbouring Azerbaijan). I'm not a fan of G25. It tends to oversimply everything.

[Babak]

distance%=1.9124"

Iranian_Mazandarani

IRN_Seh_Gabi_C,78.2
Steppe,18
AASI,2.8
MNG_Hovsgol_BA,1
.
"distance%=1.3568"

Iranian_Fars

IRN_Seh_Gabi_C,52.6
IRN_Hajji_Firuz_C,21.2
Steppe,20
MNG_Hovsgol_BA,3.2
AASI,3
.
"distance%=1.6115"

Iranian_Zoroastrian

IRN_Seh_Gabi_C,57.8
Steppe,24
IRN_Hajji_Firuz_C,15
AASI,2.4
MNG_Hovsgol_BA,0.8
.


"distance%=2.9022"

[Zoro]

Come on Haji Firuz + Saka can't be accurate. What about pre-saka iranic migrations then?
No median/aryan ancestry whatsoever? The reality is probably: Haji-firuz+Early iranian+minor Scythian/Saka+ minor Turkic (through neighbouring Azerbaijan). I'm not a fan of G25. It tends to oversimply everything.

I totally agree with you that Iran chl + Saka is an over simplification of ancestry of Kurds, and Dilawer himself told me it's an oversimplification that is why in the same article he modeled them as Iran chl + BMAC + Sintashta + Turkic. He told me the purpose of the 2 way model Iran chl + Saka is to get an idea of how much Iran chl + steppe + E. Eurasian from ALL sources Kurds had such as Medes + Parthians + Saka + Turkic + pre Mede Zagrosian herders. in the absence of Mede and Parthian genomes.

Dilawer believes that Iran chl forms the backbone of most of those peoples that contributed to Kurd ancestry whether BMAC or Mede or Parthian or Sassanian.

He believes that

1- The Medes were BMAC + MLBA Steppe and brought Kurds and Persians their Zoroastrian religion
2- Parthians will turn out to be very hetrogenous with a cline from close to 100% Mede to close to 100% Saka and they were BMAC + MLBA Steppe + E. Eurasian and they also reinforced Zoroastrianism
3- Majority of Kurdish ancestry is NOT Mede but rather Parthian. Actually Wikipaedia says this:


Russian historian and linguist Vladimir Minorsky suggested that the Medes, who widely inhabited the land where currently the Kurds form a majority, might have been forefathers of the modern Kurds. He also states that the Medes who invaded the region in the eighth century BC, linguistically resembled the Kurds. This view was accepted by many Kurdish nationalists in the twentieth century. However, Martin van Bruinessen, a Dutch scholar, argues against the attempt to take the Medes as ancestors of the Kurds.

Though some Kurdish intellectuals claim that their people are descended from the Medes, there is no evidence to permit such a connection across the considerable gap in time between the political dominance of the Medes and the first attestation of the Kurds" - van Bruinessen

Contemporary linguistic evidence has challenged the previously suggested view that the Kurds are descendants of the Medes.[66][67] Gernot Windfuhr, professor of Iranian Studies, identified the Kurdish languages as Parthian, albeit with a Median substratum.[68] David Neil MacKenzie, an authority on the Kurdish language, said Kurdish was closer to Persian and questioned the “traditional” view holding that Kurdish, because of its differences from Persian, should be regarded a Northwestern Iranian language.[69] Garnik Asatrian stated that "The Central Iranian dialects, and primarily those of the Kashan area in the first place, as well as the Azari dialects (otherwise called Southern Tati) are probably the only Iranian dialects, which can pretend to be the direct offshoots of Median... In general, the relationship between Kurdish and Median are not closer than the affinities between the latter and other North Western dialects — Baluchi, Talishi, South Caspian, Zaza, Gurani, etc


However I would not call the G25 results Thambi posted as over simplification, they are nonsense and BS since they show Mazendaranian N. Iranians with 0% Sintashta MLBA and Bandari S. Iranians with more than 10 times Sintashta than N. Iranians. Also Iranians with close to 0% E. Eurasian is also absurd. Anyone with a little common sense can easily see that the G25 is a joke!

[Zoro]

distance%=1.9124"

Iranian_Mazandarani

IRN_Seh_Gabi_C,78.2
Steppe,18
AASI,2.8
MNG_Hovsgol_BA,1
.
"distance%=1.3568"

Iranian_Fars

IRN_Seh_Gabi_C,52.6
IRN_Hajji_Firuz_C,21.2
Steppe,20
MNG_Hovsgol_BA,3.2
AASI,3
.
"distance%=1.6115"

Iranian_Zoroastrian

IRN_Seh_Gabi_C,57.8
Steppe,24
IRN_Hajji_Firuz_C,15
AASI,2.4
MNG_Hovsgol_BA,0.8
.


"distance%=2.9022"

That's better Babaka but my point that the G25 is unreliable is because when you add other sources such as when Thambi added Anatolia EEF and Armenia .... and Sintashta it gave absurd results of 0% Sintashta for N. Iranian Masendaranis.

Any decent calculator or program such as ADMIXTURE or better yet qpAdm because it is the preferred tool in scientific papers and actually tells you whether a model is pass or fail doesn't do that regardless of whether Sintashta is a source alongside Anatolia EEF and Armenia ... Also the fact that G25 shows Iranians with close to 0 % E. Eurasian is BS. We know this because qpAdm says otherwise https://eurasiandna.com/impact-of-the-iron-age-saka-and-scythians-on-south-west-asian-demography/

[Babak]

That's better Babaka but my point that the G25 is unreliable is because when you add other sources such as when Thambi added Anatolia EEF and Armenia .... and Sintashta it gave absurd results of 0% Sintashta for N. Iranian Masendaranis.

Any decent calculator or program such as ADMIXTURE or better yet qpAdm because it is the preferred tool in scientific papers and actually tells you whether a model is pass or fail doesn't do that regardless of whether Sintashta is a source alongside Anatolia EEF and Armenia ... Also the fact that G25 shows Iranians with close to 0 % E. Eurasian is BS. We know this because qpAdm says otherwise https://eurasiandna.com/impact-of-the-iron-age-saka-and-scythians-on-south-west-asian-demography/

Yea, it under-exaggerates the steppe, not disagreeing with you there. Its funny because i asked CM on anthrogenica and he told me that G25 shows the most steppe-shifted iranians lmao. He used Kashkarchi as a proxy since they have original Sintashta ancestry:


Target: Iranian_Zoroastrian
Distance: 1.5925% / 0.01592535
Aggregated
54.0 IRN_Tepe_Hissar_C
17.6 Anatolia_Barcin_N
14.6 UZB_Kashkarchi_BA
8.4 Levant_Natufian
2.8 RUS_Sintashta_MLBA_o1
1.6 IRN_Shahr_I_Sokhta_BA1
1.0 Mongola




Here, he replaced Kashkarchi with Turkmenistan_IA assuming that Iranics mixed with BMAC:

Target: Iranian_Zoroastrian
Distance: 1.3016% / 0.01301572
Aggregated
39.2 IRN_Tepe_Hissar_C
27.0 TKM_IA
17.4 Anatolia_Barcin_N
8.6 Levant_Natufian
5.6 IRN_Shahr_I_Sokhta_BA1
1.8 RUS_Sintashta_MLBA_o1
0.4 Mongola

Also all Scythians show Iran-N/BMAC-like admixture which does not exist among any North Slavs and early Avar Slavs.

[hussein khan]

That's better Babaka but my point that the G25 is unreliable is because when you add other sources such as when Thambi added Anatolia EEF and Armenia .... and Sintashta it gave absurd results of 0% Sintashta for N. Iranian Masendaranis.

Any decent calculator or program such as ADMIXTURE or better yet qpAdm because it is the preferred tool in scientific papers and actually tells you whether a model is pass or fail doesn't do that regardless of whether Sintashta is a source alongside Anatolia EEF and Armenia ... Also the fact that G25 shows Iranians with close to 0 % E. Eurasian is BS. We know this because qpAdm says otherwise https://eurasiandna.com/impact-of-the-iron-age-saka-and-scythians-on-south-west-asian-demography/

Not sure you're right or not. The members from AG disagree with you. ANyway, what do you think about this?:

"There are three clusters of Pashtun people:

Southwestern Pashtuns (Kandahar, Helmand, and Uruzghan in Afghanistan… and the Pashtun inhabitants of Balochistan in Pakistan). Moderately closer to even western Iranians than any West Eurasian-type Indians, significantly closer to Khorasani Iranians than any West Eurasian-type Indians. Only 25% Sintastha-related…. but lots of BMAC-related ancestry, with additional isolation-by-distance related gene-flow coming from across the Iranian plateau. Not much AASI (like 4%-5%… same as eastern Iranians, and not much higher than the 3% seen in western Iran).

Central Pashtuns (Khost, Paktia, Paktika in Afghanistan… North Waziristan, South Waziristan, and Kurram in Pakistan). Mildly closer to western Iranians than any West Eurasian-type Indians, moderately closer to Khorasani Iranians than any West Eurasian-type Indians. Distinguished by an excess of Sintastha-related ancestry. Most analyses place them at 35%-40%, which means they are comparable to the Jatts and Ror of Haryana (but the rest of their ancestry is quite different from those people). Lots of BMAC-related ancestry. The high steppe + high BMAC combo gives them a strong affinity towards Pamiri-sprachbund speakers in Tajikistan. Their AASI is much more noticeable than with southwestern Pashtuns; the Central Pashtuns range around 7%-10%.

Eastern Pashtuns (Laghman, Kunar, and Nangarhar in Afghanistan… Bajaur, Mohmand, Dir, and much of northern KPK in Pakistan). Mildly closer to West Eurasian-type Indians than western Iranians, slightly closer to Khorasani Iranians than West Eurasian-type Indians. Very similar to southwestern Pashtuns, but with much more northwest South Asian admixture. Sort of like 70% southwestern Pashtun, 30% northwestern Indian (Punjabi, Sindhi, etc.). These Pashtuns have an equal balance of IVC- related and BMAC-related ancestry, and around 30% Sintashta-related ancestry. AASI levels vary around 7%-15%, with most being around 11%-12%.

All three clusters are genetically closest to each other (versus neighbors). They all share substantial amounts of recent ancestry… and for the most part, they all form intersections on shared clines. All three clusters blend into each other. Ghazni Pashtuns (and most Ghilzai in fact) are transitional between Central and Southwestern Pashtuns; Afridi, Orakzai, and some Kurram Pashtuns are transitional between Northeastern and Central Pashtuns.

There are many “Pashtuns” who don’t fit into these three clusters. Examples would be a large proportion of KPK Pashtuns who are indistinguishable from Pakistani Punjabis (quite a few of the Reich lab’s “Indian cline” “Pathans” fit this bill… which is why they can use that pop average for the Indian cline). These people are Pashtunized descendants of Hindkowan, so that’s no surprise. Another example might be some Nuristani-like Pashtuns in upper Kunar (self-explanatory).

But yeah, that’s about the size of it. And if you’re curious about how Pashtuns proper (as an ethnic group) figure in a regional context, it’s like so: Pashtuns are basically genetically intermediate between Pamiri-sprachbund speakers in Tajikistan and the Persianate people of Khorasan (Iran), but with a strong skew towards northwestern India. And in terms of deep ancestry (but not too deep… just recent prehistory), Pashtuns evidence substantial ancestry related to the BMAC, to Sintashta, and to IVC. Culturally though, one could argue that steppe Iranians left the biggest imprint (since Pashtuns do see themselves as a warrior people, are organized into relatively egalitarian-yet-patriarchal tribes, and have tended towards pastoralism with long histories of nomadism)… but that’s much murkier water.

The idea here was to use only “Bronze Age” reference populations. The exceptions being Sarazm_Eneolithic (an exception made for the sake of the Kalasha, who need that population in their models), and the Han-like Xiong Nu samples (Pashtuns and all other southern Central Asians do often display some level of East Asian/Siberian-related admixture).

I used the most West Eurasian-shifted samples from “Indus_Periphery_West”. Theoretically, we’re talking around 10% AASI… but, I think we’ll find that this is a bloated estimate, in the near future (assuming we can get our hands on actual AASI genomes). I wouldn’t be surprised if we’re actually looking at around 2%-4% AASI.

Also, some individuals in my central Pashtun cluster would prefer that their data not be shared with others; so, I’m afraid that I won’t be showing you their results. But below, you’ll see my output for eastern and western Pashtuns.

Eastern Pashtuns (Bronze Age Modelling):

35.8% BMAC (Sappali Tepe BA)
21.1% IVC West Eurasian Migrants + 11% AASI/AHG-related (around 30%-35% total IVC-related ancestry)
27% Steppe MLBA-related (Dashti Kozy BA) + 2.1% Dali EBA (around 30% steppe-related ancestry)
2.7% Xiong Nu

Western Pashtuns (Bronze Age modelling):

35.7% BMAC (Sappali Tepe BA)
22.3% Steppe MLBA-related (Dashti Kozy BA) + 0.4% Dali EBA (around 20%-25% steppe-related ancestry)
12.8% IVC West Eurasian Migrants + 7.4% AASI/AHG-related (around 20% total IVC-related ancestry)
16% Hajji Firuz BA (ancient northwestern Iran)
5.4% Xiong Nu

Eastern Pashtuns have an almost equal balance of BMAC and IVC-related streams of ancestry (only a slight tilt towards BMAC), while western Pashtuns are heavily skewed towards BMAC. Western Pashtuns also evidence ancestry from across the other end of the Iranian plateau (Hajji Firuz BA), an element which is lacking in the ancestry of eastern Pashtuns.

For comparison, Uttar Pradesh Brahmins:

50% West Eurasian IVC Migrants + 28.5% AASI/AHG-related (around 75% indigenous, assuming both West Eurasian and ENA portions of IVC-type ancestry are “indigenous” to South Asia)

19% Steppe MLBA (Dashti Kozy BA) + 2.5% Dali EBA (around 20%-25% steppe-related ancestry)

Obviously very, very different from Pashtuns. Pashtuns are a population intermediate between Iran, Turan, and Hind, but somewhat skewed towards Turan… while north Indian Brahmins are undeniably a people of Hind. Not exactly a shocker (lol)… nor was it meant to be. Pretty obvious stuff… but sometimes, it’s important to state the plainly obvious.

But now, something much less obvious:

Jaat (Haryana)

38.7% West Eurasian IVC Migrants + 13.3% AASI/AHG-related
(50%-55% “indigenous”)

41.6% Steppe MLBA-related (Dashti Kozy BA) + 3.2% Dali EBA (around 45% steppe-related ancestry)

How are Jaats from Haryana 45% steppe!?! It’s an insane level… these people are steppe-related and IVC-related hybrids. But what does that say about the dynamics of “Aryanization” (these people are “Shudra”, right?). Also, don’t they prove that the Sintashta were swarthy? I mean, I’ve never met a Jaat irl; but pictures of them online seem to show a people totally within the northwestern Indian phenotypic range (no blondes… no one too European looking)."

This is written by some guy from eurogenes blog

[lameduck]

Not sure you're right or not. The members from AG disagree with you. ANyway, what do you think about this?:

"There are three clusters of Pashtun people:

Southwestern Pashtuns (Kandahar, Helmand, and Uruzghan in Afghanistan… and the Pashtun inhabitants of Balochistan in Pakistan). Moderately closer to even western Iranians than any West Eurasian-type Indians, significantly closer to Khorasani Iranians than any West Eurasian-type Indians. Only 25% Sintastha-related…. but lots of BMAC-related ancestry, with additional isolation-by-distance related gene-flow coming from across the Iranian plateau. Not much AASI (like 4%-5%… same as eastern Iranians, and not much higher than the 3% seen in western Iran).

Central Pashtuns (Khost, Paktia, Paktika in Afghanistan… North Waziristan, South Waziristan, and Kurram in Pakistan). Mildly closer to western Iranians than any West Eurasian-type Indians, moderately closer to Khorasani Iranians than any West Eurasian-type Indians. Distinguished by an excess of Sintastha-related ancestry. Most analyses place them at 35%-40%, which means they are comparable to the Jatts and Ror of Haryana (but the rest of their ancestry is quite different from those people). Lots of BMAC-related ancestry. The high steppe + high BMAC combo gives them a strong affinity towards Pamiri-sprachbund speakers in Tajikistan. Their AASI is much more noticeable than with southwestern Pashtuns; the Central Pashtuns range around 7%-10%.

Eastern Pashtuns (Laghman, Kunar, and Nangarhar in Afghanistan… Bajaur, Mohmand, Dir, and much of northern KPK in Pakistan). Mildly closer to West Eurasian-type Indians than western Iranians, slightly closer to Khorasani Iranians than West Eurasian-type Indians. Very similar to southwestern Pashtuns, but with much more northwest South Asian admixture. Sort of like 70% southwestern Pashtun, 30% northwestern Indian (Punjabi, Sindhi, etc.). These Pashtuns have an equal balance of IVC- related and BMAC-related ancestry, and around 30% Sintashta-related ancestry. AASI levels vary around 7%-15%, with most being around 11%-12%.

All three clusters are genetically closest to each other (versus neighbors). They all share substantial amounts of recent ancestry… and for the most part, they all form intersections on shared clines. All three clusters blend into each other. Ghazni Pashtuns (and most Ghilzai in fact) are transitional between Central and Southwestern Pashtuns; Afridi, Orakzai, and some Kurram Pashtuns are transitional between Northeastern and Central Pashtuns.

There are many “Pashtuns” who don’t fit into these three clusters. Examples would be a large proportion of KPK Pashtuns who are indistinguishable from Pakistani Punjabis (quite a few of the Reich lab’s “Indian cline” “Pathans” fit this bill… which is why they can use that pop average for the Indian cline). These people are Pashtunized descendants of Hindkowan, so that’s no surprise. Another example might be some Nuristani-like Pashtuns in upper Kunar (self-explanatory).

But yeah, that’s about the size of it. And if you’re curious about how Pashtuns proper (as an ethnic group) figure in a regional context, it’s like so: Pashtuns are basically genetically intermediate between Pamiri-sprachbund speakers in Tajikistan and the Persianate people of Khorasan (Iran), but with a strong skew towards northwestern India. And in terms of deep ancestry (but not too deep… just recent prehistory), Pashtuns evidence substantial ancestry related to the BMAC, to Sintashta, and to IVC. Culturally though, one could argue that steppe Iranians left the biggest imprint (since Pashtuns do see themselves as a warrior people, are organized into relatively egalitarian-yet-patriarchal tribes, and have tended towards pastoralism with long histories of nomadism)… but that’s much murkier water.

The idea here was to use only “Bronze Age” reference populations. The exceptions being Sarazm_Eneolithic (an exception made for the sake of the Kalasha, who need that population in their models), and the Han-like Xiong Nu samples (Pashtuns and all other southern Central Asians do often display some level of East Asian/Siberian-related admixture).

I used the most West Eurasian-shifted samples from “Indus_Periphery_West”. Theoretically, we’re talking around 10% AASI… but, I think we’ll find that this is a bloated estimate, in the near future (assuming we can get our hands on actual AASI genomes). I wouldn’t be surprised if we’re actually looking at around 2%-4% AASI.

Also, some individuals in my central Pashtun cluster would prefer that their data not be shared with others; so, I’m afraid that I won’t be showing you their results. But below, you’ll see my output for eastern and western Pashtuns.

Eastern Pashtuns (Bronze Age Modelling):

35.8% BMAC (Sappali Tepe BA)
21.1% IVC West Eurasian Migrants + 11% AASI/AHG-related (around 30%-35% total IVC-related ancestry)
27% Steppe MLBA-related (Dashti Kozy BA) + 2.1% Dali EBA (around 30% steppe-related ancestry)
2.7% Xiong Nu

Western Pashtuns (Bronze Age modelling):

35.7% BMAC (Sappali Tepe BA)
22.3% Steppe MLBA-related (Dashti Kozy BA) + 0.4% Dali EBA (around 20%-25% steppe-related ancestry)
12.8% IVC West Eurasian Migrants + 7.4% AASI/AHG-related (around 20% total IVC-related ancestry)
16% Hajji Firuz BA (ancient northwestern Iran)
5.4% Xiong Nu

Eastern Pashtuns have an almost equal balance of BMAC and IVC-related streams of ancestry (only a slight tilt towards BMAC), while western Pashtuns are heavily skewed towards BMAC. Western Pashtuns also evidence ancestry from across the other end of the Iranian plateau (Hajji Firuz BA), an element which is lacking in the ancestry of eastern Pashtuns.

For comparison, Uttar Pradesh Brahmins:

50% West Eurasian IVC Migrants + 28.5% AASI/AHG-related (around 75% indigenous, assuming both West Eurasian and ENA portions of IVC-type ancestry are “indigenous” to South Asia)

19% Steppe MLBA (Dashti Kozy BA) + 2.5% Dali EBA (around 20%-25% steppe-related ancestry)

Obviously very, very different from Pashtuns. Pashtuns are a population intermediate between Iran, Turan, and Hind, but somewhat skewed towards Turan… while north Indian Brahmins are undeniably a people of Hind. Not exactly a shocker (lol)… nor was it meant to be. Pretty obvious stuff… but sometimes, it’s important to state the plainly obvious.

But now, something much less obvious:

Jaat (Haryana)

38.7% West Eurasian IVC Migrants + 13.3% AASI/AHG-related
(50%-55% “indigenous”)

41.6% Steppe MLBA-related (Dashti Kozy BA) + 3.2% Dali EBA (around 45% steppe-related ancestry)

How are Jaats from Haryana 45% steppe!?! It’s an insane level… these people are steppe-related and IVC-related hybrids. But what does that say about the dynamics of “Aryanization” (these people are “Shudra”, right?). Also, don’t they prove that the Sintashta were swarthy? I mean, I’ve never met a Jaat irl; but pictures of them online seem to show a people totally within the northwestern Indian phenotypic range (no blondes… no one too European looking)."

This is written by some afghan guy named sein. Not sure if you know him or not...

sien is pak pashtun.

[hussein khan]

sien is pak pashtun.

Oh...

[Zoro]

Not sure you're right or not. The members from AG disagree with you.


Cool they just proved that they really are idiots :D because they are disagreeing with what I said which is basically anyone with a little common sense should see that G25 is unreliable calculator because it shows Mazendarani N. Iranians as 0% Sintashta and Bandari persian gulf S. Iranians as more than 10 times Sintashta than N. Iranians when Anatolia EEF is added as a source (results Thambi posted earlier). Other programs such as Admixture and qpAdm are not affected by this

"
There are three clusters of Pashtun people:

Southwestern Pashtuns (Kandahar, Helmand, and Uruzghan in Afghanistan… and the Pashtun inhabitants of Balochistan in Pakistan). Moderately closer to even western Iranians than any West Eurasian-type Indians, significantly closer to Khorasani Iranians than any West Eurasian-type Indians. Only 25% Sintastha-related…. but lots of BMAC-related ancestry, with additional isolation-by-distance related gene-flow coming from across the Iranian plateau. Not much AASI (like 4%-5%… same as eastern Iranians, and not much higher than the 3% seen in western Iran).................

I’m not very familiar with S. Asian genetics or the guy but this seems logical hopefully he didn’t rely on G25. QpAdm is best for this IMO

[hussein khan]

Cool they just proved that they really are idiots :D because they are disagreeing with what I said which is basically anyone with a little common sense should see that G25 is unreliable calculator because it shows Mazendarani N. Iranians as 0% Sintashta and Bandari persian gulf S. Iranians as more than 10 times Sintashta than N. Iranians when Anatolia EEF is added as a source (results Thambi posted earlier). Other programs such as Admixture and qpAdm are not affected by this

"

I’m not very familiar with S. Asian genetics or the guy but this seems logical hopefully he didn’t rely on G25. QpAdm is best for this IMO

He kind of also based this on QpAdm....but not outright agreeing with you, but can you come up with other reasons why youre against G25? Wanna hear more reasons, if you have some more

[lameduck]

Maykop Steppe AY2001 Russia 3359-3019 BC

138447 SNPs used in this evaluation

Kit LF4589890

Admix Results (sorted):

# Population Percent
1 NE-Euro 36.22
2 Baloch 35.02
3 Caucasian 12.5
4 American 6.3
5 S-Indian 3.51
6 Beringian 2.52
7 Siberian 2.46
8 W-African 1.08
9 Pygmy 0.39

Single Population Sharing:

# Population (source) Distance
1 tajik (yunusbayev) 22.3
2 haryana-jatt (harappa) 27.72
3 pashtun (harappa) 28.37
4 pathan (hgdp) 30.21
5 kalash (hgdp) 30.4
6 urkarah (xing) 30.87
7 burusho (hgdp) 31.51
8 stalskoe (xing) 31.54
9 bhatia (harappa) 31.84
10 punjabi-jatt-sikh (harappa) 31.97
11 chuvash (behar) 32.17
12 turkmen (yunusbayev) 32.4
13 punjabi-khatri (harappa) 33.16
14 sindhi (harappa) 33.51
15 lezgin (behar) 35.04
16 kashmiri (harappa) 35.22
17 nogai (yunusbayev) 35.71
18 mordovian (yunusbayev) 35.79
19 uzbek (behar) 35.85
20 punjabi-jatt-muslim (harappa) 36.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.7% mordovian (yunusbayev) + 47.3% brahui (hgdp) @ 11.8
2 58.8% balochi (hgdp) + 41.2% finnish (1000genomes) @ 11.85
3 57.4% brahui (hgdp) + 42.6% finnish (1000genomes) @ 11.88
4 50.6% russian (hgdp) + 49.4% brahui (hgdp) @ 11.94
5 58.2% makrani (hgdp) + 41.8% finnish (1000genomes) @ 11.95
6 51.4% mordovian (yunusbayev) + 48.6% balochi (hgdp) @ 12.07
7 50.8% balochi (hgdp) + 49.2% russian (hgdp) @ 12.1
8 50.5% brahui (hgdp) + 49.5% russian (behar) @ 12.15
9 50.2% makrani (hgdp) + 49.8% russian (hgdp) @ 12.23
10 52% mordovian (yunusbayev) + 48% makrani (hgdp) @ 12.23
11 54.9% balochi (hgdp) + 45.1% lithuanian (behar) @ 12.52
12 54.2% makrani (hgdp) + 45.8% lithuanian (behar) @ 12.56
13 52% balochi (hgdp) + 48% russian (behar) @ 12.6
14 53.5% brahui (hgdp) + 46.5% lithuanian (behar) @ 12.62
15 51.3% makrani (hgdp) + 48.7% russian (behar) @ 12.84
16 50.9% brahui (hgdp) + 49.1% belorussian (behar) @ 13.18
17 64.9% kalash (hgdp) + 35.1% finnish (1000genomes) @ 13.21
18 57.1% kalash (hgdp) + 42.9% russian (hgdp) @ 13.32
19 61% kalash (hgdp) + 39% lithuanian (behar) @ 13.35
20 52.4% balochi (hgdp) + 47.6% belorussian (behar) @ 13.4

[lameduck]

Maykop Steppe AY2003 Russia 3634-3377 BC

128097 SNPs used in this evaluation

Kit MR4316858

Admix Results (sorted):

# Population Percent
1 NE-Euro 45.2
2 Baloch 32.18
3 American 12.37
4 Beringian 3.81
5 Siberian 2.62
6 S-Indian 2.48
7 W-African 1.23
8 San 0.11

Single Population Sharing:

# Population (source) Distance
1 chuvash (behar) 30.08
2 mordovian (yunusbayev) 32.33
3 russian (hgdp) 33.97
4 tajik (yunusbayev) 35.59
5 ukranian (yunusbayev) 35.62
6 haryana-jatt (harappa) 36.55
7 belorussian (behar) 37.28
8 russian (behar) 37.3
9 slovenian (xing) 37.41
10 hungarian (behar) 37.52
11 n-european (xing) 38.73
12 utahn-white (hapmap) 38.83
13 lithuanian (behar) 39.04
14 orcadian (hgdp) 39.05
15 utahn-white (1000genomes) 39.55
16 british (1000genomes) 39.94
17 pashtun (harappa) 40.58
18 punjabi-jatt-sikh (harappa) 41.3
19 pathan (hgdp) 41.54
20 burusho (hgdp) 41.69

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53% finnish (1000genomes) + 47% brahui (hgdp) @ 17.3
2 52.2% finnish (1000genomes) + 47.8% balochi (hgdp) @ 17.95
3 52.8% finnish (1000genomes) + 47.2% makrani (hgdp) @ 18.26
4 57.5% lithuanian (behar) + 42.5% brahui (hgdp) @ 18.91
5 62.1% russian (hgdp) + 37.9% brahui (hgdp) @ 18.92
6 52.1% bhatia (harappa) + 47.9% finnish (1000genomes) @ 19.06
7 56.8% lithuanian (behar) + 43.2% balochi (hgdp) @ 19.39
8 61.5% russian (hgdp) + 38.5% balochi (hgdp) @ 19.48
9 57.5% lithuanian (behar) + 42.5% makrani (hgdp) @ 19.62
10 62.3% russian (hgdp) + 37.7% makrani (hgdp) @ 19.75
11 64.2% mordovian (yunusbayev) + 35.8% brahui (hgdp) @ 19.78
12 52.5% lithuanian (behar) + 47.5% bhatia (harappa) @ 19.87
13 57.4% russian (hgdp) + 42.6% bhatia (harappa) @ 19.91
14 51.9% kalash (hgdp) + 48.1% finnish (1000genomes) @ 19.91
15 52.5% burusho (hgdp) + 47.5% finnish (1000genomes) @ 20.1
16 51.5% finnish (1000genomes) + 48.5% sindhi (hgdp) @ 20.29
17 63.7% mordovian (yunusbayev) + 36.3% balochi (hgdp) @ 20.33
18 52.6% pathan (hgdp) + 47.4% finnish (1000genomes) @ 20.45
19 59.6% mordovian (yunusbayev) + 40.4% bhatia (harappa) @ 20.6
20 64.5% mordovian (yunusbayev) + 35.5% makrani (hgdp) @ 20.6

[lameduck]

Vonyuchka 1 Russia 4332-4238BCE VJ1001 Female mtDNA: T2a1b

Kit JZ7635482

Admix Results (sorted):

# Population Percent
1 NE-Euro 44.37
2 Baloch 39.94
3 Caucasian 10.94
4 American 4.38
5 Beringian 0.24
6 W-African 0.1
7 Pygmy 0.03

Single Population Sharing:

# Population (source) Distance
1 tajik (yunusbayev) 30.21
2 chuvash (behar) 34.33
3 haryana-jatt (harappa) 34.51
4 mordovian (yunusbayev) 35.09
5 urkarah (xing) 35.97
6 pashtun (harappa) 36.49
7 pathan (hgdp) 37.12
8 ukranian (yunusbayev) 37.14
9 kalash (hgdp) 37.27
10 russian (hgdp) 37.6
11 stalskoe (xing) 37.71
12 bhatia (harappa) 38.04
13 hungarian (behar) 38.16
14 slovenian (xing) 38.21
15 burusho (hgdp) 38.45
16 punjabi-jatt-sikh (harappa) 38.77
17 russian (behar) 39.46
18 belorussian (behar) 39.49
19 turkmen (yunusbayev) 40.3
20 lezgin (behar) 40.33

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.4% brahui (hgdp) + 46.6% finnish (1000genomes) @ 15.03
2 51.2% lithuanian (behar) + 48.8% brahui (hgdp) @ 15.34
3 54.3% balochi (hgdp) + 45.7% finnish (1000genomes) @ 15.94
4 53.7% makrani (hgdp) + 46.3% finnish (1000genomes) @ 16.02
5 50.4% lithuanian (behar) + 49.6% balochi (hgdp) @ 16.11
6 51% lithuanian (behar) + 49% makrani (hgdp) @ 16.14
7 54.7% russian (hgdp) + 45.3% brahui (hgdp) @ 16.53
8 56.8% mordovian (yunusbayev) + 43.2% brahui (hgdp) @ 16.73
9 53.2% russian (behar) + 46.8% brahui (hgdp) @ 17.14
10 53.2% belorussian (behar) + 46.8% brahui (hgdp) @ 17.31
11 53.9% russian (hgdp) + 46.1% balochi (hgdp) @ 17.34
12 54.5% russian (hgdp) + 45.5% makrani (hgdp) @ 17.45
13 56.1% mordovian (yunusbayev) + 43.9% balochi (hgdp) @ 17.56
14 56.8% mordovian (yunusbayev) + 43.2% makrani (hgdp) @ 17.69
15 52.4% russian (behar) + 47.6% balochi (hgdp) @ 18.14
16 52.4% belorussian (behar) + 47.6% balochi (hgdp) @ 18.16
17 53.1% russian (behar) + 46.9% makrani (hgdp) @ 18.32
18 53% belorussian (behar) + 47% makrani (hgdp) @ 18.33
19 53.9% kalash (hgdp) + 46.1% lithuanian (behar) @ 18.63
20 53.3% bhatia (harappa) + 46.7% lithuanian (behar) @ 18.86

[lameduck]

Nevinnomiskiy 3/Lola Russia NV3001 2116-1925BCE Male Y-DNA: Q1a2 mtDNA: R1b

Kit XD1732466

Admix Results (sorted):

# Population Percent
1 NE-Euro 52.47
2 Baloch 35.12
3 American 6.74
4 Beringian 2.97
5 Siberian 1.53
6 S-Indian 0.87
7 W-African 0.23
8 San 0.08

Single Population Sharing:

# Population (source) Distance
1 mordovian (yunusbayev) 30.18
2 chuvash (behar) 30.38
3 russian (hgdp) 31.45
4 ukranian (yunusbayev) 33.96
5 belorussian (behar) 34.73
6 russian (behar) 35.1
7 lithuanian (behar) 35.28
8 slovenian (xing) 37.1
9 hungarian (behar) 37.47
10 utahn-white (hapmap) 37.98
11 orcadian (hgdp) 38
12 n-european (xing) 38.03
13 utahn-white (1000genomes) 38.99
14 british (1000genomes) 39.27
15 tajik (yunusbayev) 39.62
16 haryana-jatt (harappa) 40.61
17 finnish (1000genomes) 41.23
18 french (hgdp) 44.35
19 romanian-a (behar) 44.52
20 pashtun (harappa) 45.11

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 57.2% finnish (1000genomes) + 42.8% brahui (hgdp) @ 16.32
2 56.8% finnish (1000genomes) + 43.2% balochi (hgdp) @ 17.34
3 57.4% finnish (1000genomes) + 42.6% makrani (hgdp) @ 17.72
4 62.3% lithuanian (behar) + 37.7% brahui (hgdp) @ 18.02
5 61.9% lithuanian (behar) + 38.1% balochi (hgdp) @ 18.79
6 62.6% lithuanian (behar) + 37.4% makrani (hgdp) @ 19.07
7 53.4% finnish (1000genomes) + 46.6% bhatia (harappa) @ 19.12
8 66.6% russian (hgdp) + 33.4% brahui (hgdp) @ 19.27
9 58.7% lithuanian (behar) + 41.3% bhatia (harappa) @ 19.84
10 53.7% finnish (1000genomes) + 46.3% kalash (hgdp) @ 19.98
11 66.5% russian (hgdp) + 33.5% balochi (hgdp) @ 20.02
12 67.2% russian (hgdp) + 32.8% makrani (hgdp) @ 20.32
13 68.8% mordovian (yunusbayev) + 31.2% brahui (hgdp) @ 20.35
14 56.9% finnish (1000genomes) + 43.1% sindhi (hgdp) @ 20.37
15 53.5% finnish (1000genomes) + 46.5% burusho (hgdp) @ 20.5
16 53.2% finnish (1000genomes) + 46.8% pathan (hgdp) @ 20.58
17 59.2% lithuanian (behar) + 40.8% kalash (hgdp) @ 20.69
18 63.5% russian (hgdp) + 36.5% bhatia (harappa) @ 20.83
19 59% lithuanian (behar) + 41% burusho (hgdp) @ 20.85
20 62.3% lithuanian (behar) + 37.7% sindhi (hgdp) @ 20.92

[lameduck]

Maykop Novosvobodnaya I6268 3696-3532 BCE Russia Caucasus Male: Y-DNA J2a1 mtDNA: R1a


Kit LH4889755

Admix Results (sorted):

# Population Percent
1 Caucasian 56.66
2 Baloch 26.58
3 NE-Euro 8.99
4 SW-Asian 4.51
5 Mediterranean 3.27

Single Population Sharing:

# Population (source) Distance
1 georgian (harappa) 8.72
2 north-ossetian (yunusbayev) 11.23
3 adygei (hgdp) 11.37
4 armenian (behar) 11.72
5 balkar (yunusbayev) 12.3
6 kumyk (yunusbayev) 12.49
7 chechen (yunusbayev) 12.77
8 kurd (yunusbayev) 13.36
9 armenian (yunusbayev) 13.41
10 azeri (harappa) 13.78
11 abhkasian (yunusbayev) 14.11
12 lezgin (behar) 14.21
13 kurd (xing) 14.85
14 turk (behar) 15.99
15 georgian (behar) 16.55
16 iranian (harappa) 16.61
17 azerbaijan-jew (behar) 16.73
18 turkish (harappa) 16.93
19 assyrian (harappa) 16.96
20 turk-istanbul (hodoglugil) 17.06

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.3% georgian (harappa) + 35.7% lezgin (behar) @ 4.45
2 79.1% abhkasian (yunusbayev) + 20.9% brahui (hgdp) @ 4.56
3 77.7% abhkasian (yunusbayev) + 22.3% makrani (hgdp) @ 4.58
4 87.3% georgian (harappa) + 12.7% brahui (hgdp) @ 4.76
5 78.2% abhkasian (yunusbayev) + 21.8% balochi (hgdp) @ 4.83
6 86.8% georgian (harappa) + 13.2% balochi (hgdp) @ 4.88
7 51.5% abhkasian (yunusbayev) + 48.5% kurd (xing) @ 4.93
8 76.1% georgian (behar) + 23.9% brahui (hgdp) @ 4.94
9 74.7% georgian (behar) + 25.3% makrani (hgdp) @ 5.01
10 72% georgian (harappa) + 28% urkarah (xing) @ 5.02
11 75.2% georgian (behar) + 24.8% balochi (hgdp) @ 5.18
12 85.8% georgian (harappa) + 14.2% kalash (hgdp) @ 5.2
13 87.5% georgian (harappa) + 12.5% bhatia (harappa) @ 5.27
14 83.2% georgian (harappa) + 16.8% tajik (yunusbayev) @ 5.39
15 86.6% georgian (harappa) + 13.4% pathan (hgdp) @ 5.44
16 72.5% georgian (harappa) + 27.5% stalskoe (xing) @ 5.61
17 53.1% kurd (xing) + 46.9% georgian (behar) @ 5.63
18 59.3% abhkasian (yunusbayev) + 40.7% iranian (behar) @ 5.63
19 50.1% georgian (behar) + 49.9% iranian (harappa) @ 5.65
20 88.3% georgian (harappa) + 11.7% haryana-jatt (harappa) @ 5.71

[Leto]

Vonyuchka 1 Russia 4332-4238BCE VJ1001 Female mtDNA: T2a1b

A freaking funny name. In Russian it means 'the stinky one', lol xD

[Leto]

Turkmenistan_IA, R1a1a1b2 T2c1a (800 BC)

Eurogenes K13 Oracle results:

Kit Z936555

Admix Results (sorted):

# Population Percent
1 West_Asian 46.02
2 North_Atlantic 22.93
3 Baltic 21.55
4 South_Asian 8.06
5 Amerindian 0.73
6 East_Med 0.7

Single Population Sharing:

# Population (source) Distance
1 Tabassaran 14.04
2 Lezgin 17.4
3 Chechen 17.56
4 Kabardin 21.74
5 Tadjik 22.57
6 North_Ossetian 23.01
7 Adygei 23.53
8 Kumyk 23.6
9 Afghan_Pashtun 23.95
10 Balkar 24.01
11 Ossetian 24.23
12 Afghan_Tadjik 28.28
13 Nogay 28.31
14 Kalash 29.62
15 Turkmen 30.76
16 Georgian 30.94
17 Balochi 31.36
18 Abhkasian 32.98
19 Brahui 32.98
20 Makrani 33.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.1% Tabassaran + 15.9% Swedish @ 11.56
2 84.4% Tabassaran + 15.6% Norwegian @ 11.59
3 84.6% Tabassaran + 15.4% North_Swedish @ 11.68
4 84.8% Tabassaran + 15.2% Irish @ 11.73
5 85.2% Tabassaran + 14.8% West_Scottish @ 11.8
6 84.8% Tabassaran + 15.2% Danish @ 11.84
7 84.9% Tabassaran + 15.1% North_Dutch @ 11.84
8 84.3% Tabassaran + 15.7% North_German @ 11.91
9 85.7% Tabassaran + 14.3% Southwest_Finnish @ 11.92
10 85.5% Tabassaran + 14.5% Orcadian @ 11.93
11 86.5% Tabassaran + 13.5% La_Brana-1 @ 11.97
12 86.3% Tabassaran + 13.7% Estonian @ 12
13 86.1% Tabassaran + 13.9% Finnish @ 12.02
14 86.2% Tabassaran + 13.8% Southwest_English @ 12.09
15 86.7% Tabassaran + 13.3% Lithuanian @ 12.17
16 86.9% Tabassaran + 13.1% East_Finnish @ 12.21
17 86.5% Tabassaran + 13.5% Southeast_English @ 12.28
18 86.1% Tabassaran + 13.9% Polish @ 12.35
19 86.4% Tabassaran + 13.6% Russian_Smolensk @ 12.4
20 87.2% Tabassaran + 12.8% Belorussian @ 12.48


HarappaWorld Oracle results:

Admix Results (sorted):

# Population Percent
1 Baloch 34.32
2 NE-Euro 34.08
3 Caucasian 23.68
4 Mediterranean 2.72
5 S-Indian 2.5
6 American 1.54
7 W-African 0.93
8 Beringian 0.23

Single Population Sharing:

# Population (source) Distance
1 tajik (yunusbayev) 18.96
2 urkarah (xing) 20.74
3 stalskoe (xing) 22.22
4 lezgin (behar) 24.96
5 pashtun (harappa) 26.6
6 turkmen (yunusbayev) 26.97
7 kalash (hgdp) 29.26
8 nogai (yunusbayev) 29.27
9 haryana-jatt (harappa) 29.49
10 chechen (yunusbayev) 29.71
11 pathan (hgdp) 29.72
12 kumyk (yunusbayev) 29.82
13 burusho (hgdp) 32.26
14 bhatia (harappa) 32.49
15 romanian-a (behar) 32.5
16 iranian (harappa) 32.8
17 punjabi-jatt-sikh (harappa) 33.14
18 bulgarian (yunusbayev) 33.18
19 punjabi-khatri (harappa) 33.22
20 sindhi (harappa) 33.47

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.6% makrani (hgdp) + 47.4% russian (behar) @ 12.64
2 53% balochi (hgdp) + 47% russian (behar) @ 13
3 76.7% tajik (yunusbayev) + 23.3% lithuanian (behar) @ 13.04
4 51.3% brahui (hgdp) + 48.7% russian (behar) @ 13.2
5 74.8% tajik (yunusbayev) + 25.2% belorussian (behar) @ 13.46
6 74.5% tajik (yunusbayev) + 25.5% russian (behar) @ 13.48
7 80.5% tajik (yunusbayev) + 19.5% finnish (1000genomes) @ 13.71
8 50.2% makrani (hgdp) + 49.8% mordovian (yunusbayev) @ 13.73
9 53.2% makrani (hgdp) + 46.8% belorussian (behar) @ 13.73
10 73% tajik (yunusbayev) + 27% mordovian (yunusbayev) @ 13.75
11 73.1% tajik (yunusbayev) + 26.9% ukranian (yunusbayev) @ 13.84
12 72.8% urkarah (xing) + 27.2% orcadian (hgdp) @ 13.85
13 50.2% makrani (hgdp) + 49.8% ukranian (yunusbayev) @ 13.92
14 60.1% kalash (hgdp) + 39.9% russian (behar) @ 13.99
15 53.6% balochi (hgdp) + 46.4% belorussian (behar) @ 14.08
16 50.7% balochi (hgdp) + 49.3% mordovian (yunusbayev) @ 14.08
17 50.6% balochi (hgdp) + 49.4% ukranian (yunusbayev) @ 14.14
18 74.8% urkarah (xing) + 25.2% lithuanian (behar) @ 14.15
19 57.8% kalash (hgdp) + 42.2% ukranian (yunusbayev) @ 14.23
20 60.7% kalash (hgdp) + 39.3% belorussian (behar) @ 14.27


Dodecad K12b Oracle results:

Admix Results (sorted):

# Population Percent
1 Gedrosia 36
2 North_European 32.42
3 Caucasus 19.17
4 Atlantic_Med 8.33
5 South_Asian 2.34
6 Siberian 1.09
7 Sub_Saharan 0.66

Single Population Sharing:

# Population (source) Distance
1 Tajiks (Yunusbayev) 17.56
2 Turkmens (Yunusbayev) 26.44
3 Lezgins (Behar) 27
4 Pathan (HGDP) 29.51
5 Kumyks (Yunusbayev) 31.76
6 Burusho (HGDP) 32.86
7 Nogais (Yunusbayev) 32.95
8 Chechens (Yunusbayev) 33.5
9 Iranians (Behar) 33.51
10 Iranian (Dodecad) 33.59
11 Kurd (Dodecad) 34.39
12 Kurds (Yunusbayev) 34.83
13 Jatt (Dodecad) 35.15
14 Bulgarian (Dodecad) 35.22
15 Romanians (Behar) 35.39
16 Bulgarians (Yunusbayev) 37.18
17 Hungarians (Behar) 37.27
18 Uzbeks (Behar) 37.71
19 German (Dodecad) 38.82
20 Turks (Behar) 38.95

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.9% Makrani (HGDP) + 47.1% Russian_B (Behar) @ 11.06
2 52.1% Balochi (HGDP) + 47.9% Russian_B (Behar) @ 11.07
3 50.7% Balochi (HGDP) + 49.3% Ukranians (Yunusbayev) @ 11.07
4 51.4% Makrani (HGDP) + 48.6% Ukranians (Yunusbayev) @ 11.32
5 50.5% Makrani (HGDP) + 49.5% Mordovians (Yunusbayev) @ 11.52
6 50.2% Mordovians (Yunusbayev) + 49.8% Balochi (HGDP) @ 11.64
7 53.7% Makrani (HGDP) + 46.3% Belorussian (Behar) @ 11.66
8 51.4% Balochi (HGDP) + 48.6% Mixed_Slav (Dodecad) @ 11.72
9 52.9% Balochi (HGDP) + 47.1% Belorussian (Behar) @ 11.72
10 52.1% Makrani (HGDP) + 47.9% Mixed_Slav (Dodecad) @ 11.75
11 52.5% Makrani (HGDP) + 47.5% Russian (Dodecad) @ 11.8
12 51.8% Balochi (HGDP) + 48.2% Russian (Dodecad) @ 11.91
13 52.5% Ukranians (Yunusbayev) + 47.5% Brahui (HGDP) @ 12.36
14 51% Russian_B (Behar) + 49% Brahui (HGDP) @ 12.57
15 55.9% Makrani (HGDP) + 44.1% Lithuanian (Dodecad) @ 12.59
16 51.8% Balochi (HGDP) + 48.2% Polish (Dodecad) @ 12.61
17 52.6% Makrani (HGDP) + 47.4% Polish (Dodecad) @ 12.63
18 81.1% Tajiks (Yunusbayev) + 18.9% Lithuanians (Behar) @ 12.64
19 80.4% Tajiks (Yunusbayev) + 19.6% Lithuanian (Dodecad) @ 12.74
20 79.2% Tajiks (Yunusbayev) + 20.8% Belorussian (Behar) @ 12.86

[tipirneni]

Turkmenistan_IA, R1a1a1b2 T2c1a (800 BC)

Eurogenes K13 Oracle results:

Kit Z936555

Admix Results (sorted):

# Population Percent
1 West_Asian 46.02
2 North_Atlantic 22.93
3 Baltic 21.55
4 South_Asian 8.06
5 Amerindian 0.73
6 East_Med 0.7

Single Population Sharing:

# Population (source) Distance
1 Tabassaran 14.04
2 Lezgin 17.4
3 Chechen 17.56
4 Kabardin 21.74
5 Tadjik 22.57
6 North_Ossetian 23.01
7 Adygei 23.53
8 Kumyk 23.6
9 Afghan_Pashtun 23.95
10 Balkar 24.01
11 Ossetian 24.23
12 Afghan_Tadjik 28.28
13 Nogay 28.31
14 Kalash 29.62
15 Turkmen 30.76
16 Georgian 30.94
17 Balochi 31.36
18 Abhkasian 32.98
19 Brahui 32.98
20 Makrani 33.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.1% Tabassaran + 15.9% Swedish @ 11.56
2 84.4% Tabassaran + 15.6% Norwegian @ 11.59
3 84.6% Tabassaran + 15.4% North_Swedish @ 11.68
4 84.8% Tabassaran + 15.2% Irish @ 11.73
5 85.2% Tabassaran + 14.8% West_Scottish @ 11.8
6 84.8% Tabassaran + 15.2% Danish @ 11.84
7 84.9% Tabassaran + 15.1% North_Dutch @ 11.84
8 84.3% Tabassaran + 15.7% North_German @ 11.91
9 85.7% Tabassaran + 14.3% Southwest_Finnish @ 11.92
10 85.5% Tabassaran + 14.5% Orcadian @ 11.93
11 86.5% Tabassaran + 13.5% La_Brana-1 @ 11.97
12 86.3% Tabassaran + 13.7% Estonian @ 12
13 86.1% Tabassaran + 13.9% Finnish @ 12.02
14 86.2% Tabassaran + 13.8% Southwest_English @ 12.09
15 86.7% Tabassaran + 13.3% Lithuanian @ 12.17
16 86.9% Tabassaran + 13.1% East_Finnish @ 12.21
17 86.5% Tabassaran + 13.5% Southeast_English @ 12.28
18 86.1% Tabassaran + 13.9% Polish @ 12.35
19 86.4% Tabassaran + 13.6% Russian_Smolensk @ 12.4
20 87.2% Tabassaran + 12.8% Belorussian @ 12.48


HarappaWorld Oracle results:

Admix Results (sorted):

# Population Percent
1 Baloch 34.32
2 NE-Euro 34.08
3 Caucasian 23.68
4 Mediterranean 2.72
5 S-Indian 2.5
6 American 1.54
7 W-African 0.93
8 Beringian 0.23

Single Population Sharing:

# Population (source) Distance
1 tajik (yunusbayev) 18.96
2 urkarah (xing) 20.74
3 stalskoe (xing) 22.22
4 lezgin (behar) 24.96
5 pashtun (harappa) 26.6
6 turkmen (yunusbayev) 26.97
7 kalash (hgdp) 29.26
8 nogai (yunusbayev) 29.27
9 haryana-jatt (harappa) 29.49
10 chechen (yunusbayev) 29.71
11 pathan (hgdp) 29.72
12 kumyk (yunusbayev) 29.82
13 burusho (hgdp) 32.26
14 bhatia (harappa) 32.49
15 romanian-a (behar) 32.5
16 iranian (harappa) 32.8
17 punjabi-jatt-sikh (harappa) 33.14
18 bulgarian (yunusbayev) 33.18
19 punjabi-khatri (harappa) 33.22
20 sindhi (harappa) 33.47

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.6% makrani (hgdp) + 47.4% russian (behar) @ 12.64
2 53% balochi (hgdp) + 47% russian (behar) @ 13
3 76.7% tajik (yunusbayev) + 23.3% lithuanian (behar) @ 13.04
4 51.3% brahui (hgdp) + 48.7% russian (behar) @ 13.2
5 74.8% tajik (yunusbayev) + 25.2% belorussian (behar) @ 13.46
6 74.5% tajik (yunusbayev) + 25.5% russian (behar) @ 13.48
7 80.5% tajik (yunusbayev) + 19.5% finnish (1000genomes) @ 13.71
8 50.2% makrani (hgdp) + 49.8% mordovian (yunusbayev) @ 13.73
9 53.2% makrani (hgdp) + 46.8% belorussian (behar) @ 13.73
10 73% tajik (yunusbayev) + 27% mordovian (yunusbayev) @ 13.75
11 73.1% tajik (yunusbayev) + 26.9% ukranian (yunusbayev) @ 13.84
12 72.8% urkarah (xing) + 27.2% orcadian (hgdp) @ 13.85
13 50.2% makrani (hgdp) + 49.8% ukranian (yunusbayev) @ 13.92
14 60.1% kalash (hgdp) + 39.9% russian (behar) @ 13.99
15 53.6% balochi (hgdp) + 46.4% belorussian (behar) @ 14.08
16 50.7% balochi (hgdp) + 49.3% mordovian (yunusbayev) @ 14.08
17 50.6% balochi (hgdp) + 49.4% ukranian (yunusbayev) @ 14.14
18 74.8% urkarah (xing) + 25.2% lithuanian (behar) @ 14.15
19 57.8% kalash (hgdp) + 42.2% ukranian (yunusbayev) @ 14.23
20 60.7% kalash (hgdp) + 39.3% belorussian (behar) @ 14.27


Dodecad K12b Oracle results:

Admix Results (sorted):

# Population Percent
1 Gedrosia 36
2 North_European 32.42
3 Caucasus 19.17
4 Atlantic_Med 8.33
5 South_Asian 2.34
6 Siberian 1.09
7 Sub_Saharan 0.66

Single Population Sharing:

# Population (source) Distance
1 Tajiks (Yunusbayev) 17.56
2 Turkmens (Yunusbayev) 26.44
3 Lezgins (Behar) 27
4 Pathan (HGDP) 29.51
5 Kumyks (Yunusbayev) 31.76
6 Burusho (HGDP) 32.86
7 Nogais (Yunusbayev) 32.95
8 Chechens (Yunusbayev) 33.5
9 Iranians (Behar) 33.51
10 Iranian (Dodecad) 33.59
11 Kurd (Dodecad) 34.39
12 Kurds (Yunusbayev) 34.83
13 Jatt (Dodecad) 35.15
14 Bulgarian (Dodecad) 35.22
15 Romanians (Behar) 35.39
16 Bulgarians (Yunusbayev) 37.18
17 Hungarians (Behar) 37.27
18 Uzbeks (Behar) 37.71
19 German (Dodecad) 38.82
20 Turks (Behar) 38.95

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.9% Makrani (HGDP) + 47.1% Russian_B (Behar) @ 11.06
2 52.1% Balochi (HGDP) + 47.9% Russian_B (Behar) @ 11.07
3 50.7% Balochi (HGDP) + 49.3% Ukranians (Yunusbayev) @ 11.07
4 51.4% Makrani (HGDP) + 48.6% Ukranians (Yunusbayev) @ 11.32
5 50.5% Makrani (HGDP) + 49.5% Mordovians (Yunusbayev) @ 11.52
6 50.2% Mordovians (Yunusbayev) + 49.8% Balochi (HGDP) @ 11.64
7 53.7% Makrani (HGDP) + 46.3% Belorussian (Behar) @ 11.66
8 51.4% Balochi (HGDP) + 48.6% Mixed_Slav (Dodecad) @ 11.72
9 52.9% Balochi (HGDP) + 47.1% Belorussian (Behar) @ 11.72
10 52.1% Makrani (HGDP) + 47.9% Mixed_Slav (Dodecad) @ 11.75
11 52.5% Makrani (HGDP) + 47.5% Russian (Dodecad) @ 11.8
12 51.8% Balochi (HGDP) + 48.2% Russian (Dodecad) @ 11.91
13 52.5% Ukranians (Yunusbayev) + 47.5% Brahui (HGDP) @ 12.36
14 51% Russian_B (Behar) + 49% Brahui (HGDP) @ 12.57
15 55.9% Makrani (HGDP) + 44.1% Lithuanian (Dodecad) @ 12.59
16 51.8% Balochi (HGDP) + 48.2% Polish (Dodecad) @ 12.61
17 52.6% Makrani (HGDP) + 47.4% Polish (Dodecad) @ 12.63
18 81.1% Tajiks (Yunusbayev) + 18.9% Lithuanians (Behar) @ 12.64
19 80.4% Tajiks (Yunusbayev) + 19.6% Lithuanian (Dodecad) @ 12.74
20 79.2% Tajiks (Yunusbayev) + 20.8% Belorussian (Behar) @ 12.86

Indians will might this sample big time.

My kit is going from 1.95 PCT at 100SNP/1cM to 15.35 PCT when set to 50SNP/.5cM