group E-V22

ansel

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we are trying to gather all those who have Y-dna Haplogroup E-V22 , we would like to come to a point to draw a whole picture for the E-V22 , if you are E-V22 and interested to join , you are welcome , thank you

i cant share link here , so write ( Haplogroup E-V22 ) in Facebook search , and you'll see it in groups
 
Hi, I'm Carlos from the Spanish Goda nobility. If you can put the link I would appreciate it. The problem is that anyone could enter. Well I'll look for it, but I think it's not so easily found on Google.
 
I founded a E-V22 project in FTDNA, join there if you are interested.
 
what is e-v22 members here think
about the presence of e-v22 in central asia ?
1 from kyrgystan /1 from mongolia BUR002 M U2e1 E1b1b1a1b2 (E-V22; E-L677) lateXiongnu_sarmatian
View attachment 11947

the xiongnu e-v22 individual from mongolia is close to sarmatians autosomally speaking
he might be some indo-iranian dude who wondered to mongolia .....:thinking:
 
what is e-v22 members here think
about the presence of e-v22 in central asia ?
1 from kyrgystan /1 from mongolia BUR002 M U2e1 E1b1b1a1b2 (E-V22; E-L677) lateXiongnu_sarmatian
View attachment 11947

the xiongnu e-v22 individual from mongolia is close to sarmatians autosomally speaking
he might be some indo-iranian dude who wondered to mongolia .....:thinking:

Ask your father
 
Ask your father
lol
i am e-m84 :)
i am interested about e-v22 also because it have fascinating distribution
from Asturias in north spain to Mongolia in the east ( as we see now)
there is also an italian dna paper who found 2/24 8% e-v22 in matera province italy ( need to find him )

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0065441

Table S2:
 
https://docs.google.com/spreadsheet...ltWrZsuWvdt922XYsZAbLNfOIASqQuMttqmjSnU#gid=0

E-V22

Kit Num: Z019511

Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com

Eurogenes EUtest V2 K15 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

Admix Results (sorted):

Population
Siberian

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]

[TD="align: right"]18.36[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]North_Sea[/TD]
[TD="width: 50, align: right"]18.29[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Eastern_Euro[/TD]
[TD="width: 50, align: right"]15.47[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]West_Asian[/TD]
[TD="width: 50, align: right"]10.41[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Atlantic[/TD]
[TD="width: 50, align: right"]8.55[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Southeast_Asian[/TD]
[TD="width: 50, align: right"]7.67[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]South_Asian[/TD]
[TD="width: 50, align: right"]7.12[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]Baltic[/TD]
[TD="width: 50, align: right"]5.01[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]Amerindian[/TD]
[TD="width: 50, align: right"]4.29[/TD]

[TD="width: 30, align: center"]10[/TD]
[TD="width: 120"]Sub-Saharan[/TD]
[TD="width: 50, align: right"]3.73[/TD]

[TD="width: 30, align: center"]11[/TD]
[TD="width: 120"]Oceanian[/TD]
[TD="width: 50, align: right"]1.08[/TD]


Finished reading population data. 207 populations found.
15 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Tatar @ 16.749569
2 Afghan_Turkmen @ 19.781092
3 Uzbeki @ 21.795506
4 Afghan_Hazara @ 23.133137
5 Uygur @ 24.722776
6 Chuvash @ 25.551609
7 Hazara @ 25.781931
8 Nogay @ 26.561424
9 East_Finnish @ 28.091858
10 Mari @ 28.463013
11 Tadjik @ 28.751261
12 Shors @ 29.460045
13 Finnish @ 29.620975
14 Moldavian @ 29.961426
15 Afghan_Tadjik @ 30.061131
16 Afghan_Uzbeki @ 30.165829
17 Kargopol_Russian @ 30.642492
18 Serbian @ 30.830549
19 Hungarian @ 30.887791
20 Southwest_Finnish @ 31.314095

Using 2 populations approximation:
1 50% Hazara +50% North_Swedish @ 10.821220


Using 3 populations approximation:
1 50% Afghan_Hazara +25% Mari +25% West_Norwegian @ 7.075709


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 Afghan_Pashtun + Mari + Mongolian + West_Norwegian @ 6.570045
2 Afghan_Pashtun + Chuvash + Tuvinian + West_Norwegian @ 6.681843
3 Afghan_Pashtun + Chuvash + Orcadian + Tuvinian @ 6.710704
4 Afghan_Pashtun + Mari + Mongolian + Orcadian @ 6.742867
5 Afghan_Pashtun + Chuvash + Mongolian + West_Norwegian @ 6.792439
6 Afghan_Pashtun + Buryat + Chuvash + West_Norwegian @ 6.796032
7 MA-1 + Oroqen + Tabassaran + West_Norwegian @ 6.796608
8 Afghan_Hazara + Shors + Tatar + West_Norwegian @ 6.815202
9 Altaian + Chuvash + Orcadian + Tadjik @ 6.852148
10 Altaian + Chuvash + Tadjik + West_Norwegian @ 6.855803
11 Afghan_Tadjik + Altaian + Chuvash + Orcadian @ 6.871623
12 Afghan_Hazara + Orcadian + Shors + Tatar @ 6.872084
13 Afghan_Pashtun + Shors + Shors + West_Norwegian @ 6.892426
14 Afghan_Pashtun + Altaian + Chuvash + West_Norwegian @ 6.897211
15 Afghan_Pashtun + Altaian + Chuvash + Orcadian @ 6.932172
16 Afghan_Pashtun + Chuvash + Mongolian + Orcadian @ 6.943343
17 Afghan_Pashtun + Altaian + Mari + West_Norwegian @ 6.965119
18 Afghan_Tadjik + Altaian + Chuvash + West_Norwegian @ 6.972367
19 Mari + Mongolian + Tadjik + West_Norwegian @ 7.002150
20 Afghan_Pashtun + Mari + Mongolian + Norwegian @ 7.006588

Done.

Elapsed time 2.2312 seconds.



 
Last edited:
Mine

[TD="bgcolor: #ffffff"]North_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]20.35 Pct[/TD]

[TD="bgcolor: #ffffff"]Atlantic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]31.76 Pct[/TD]

[TD="bgcolor: #ffffff"]Baltic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.75 Pct[/TD]

[TD="bgcolor: #ffffff"]Eastern_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.31 Pct[/TD]

[TD="bgcolor: #ffffff"]West_Med[/TD]
[TD="bgcolor: #FFFFFF, align: right"]23.82 Pct[/TD]

[TD="bgcolor: #ffffff"]West_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]6.42 Pct[/TD]

[TD="bgcolor: #ffffff"]East_Med[/TD]
[TD="bgcolor: #FFFFFF, align: right"]3.13 Pct[/TD]

[TD="bgcolor: #ffffff"]Red_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]3.37 Pct[/TD]

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Southeast_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.99 Pct[/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.16 Pct[/TD]

[TD="bgcolor: #ffffff"]Northeast_African[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.55 Pct[/TD]

[TD="bgcolor: #ffffff"]Sub-Saharan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.41 Pct[/TD]



Mine Oracle

Admix Results (sorted):

Population
Atlantic

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]

[TD="width: 50, align: right"]31.76[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]West_Med[/TD]
[TD="width: 50, align: right"]23.82[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]North_Sea[/TD]
[TD="width: 50, align: right"]20.35[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]West_Asian[/TD]
[TD="width: 50, align: right"]6.42[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Baltic[/TD]
[TD="width: 50, align: right"]4.75[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Red_Sea[/TD]
[TD="width: 50, align: right"]3.37[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]East_Med[/TD]
[TD="width: 50, align: right"]3.13[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]Northeast_African[/TD]
[TD="width: 50, align: right"]2.55[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]Eastern_Euro[/TD]
[TD="width: 50, align: right"]2.31[/TD]

[TD="width: 30, align: center"]10[/TD]
[TD="width: 120"]Siberian[/TD]
[TD="width: 50, align: right"]0.99[/TD]

[TD="width: 30, align: center"]11[/TD]
[TD="width: 120"]Sub-Saharan[/TD]
[TD="width: 50, align: right"]0.41[/TD]

[TD="width: 30, align: center"]12[/TD]
[TD="width: 120"]Oceanian[/TD]
[TD="width: 50, align: right"]0.16[/TD]

Single Population Sharing:

Population (source)
Spanish_Cantabria

[TD="align: center"] # [/TD]

[TD="align: right"] Distance [/TD]

[TD="align: center"]1[/TD]

[TD="width: 50, align: right"]5.5[/TD]

[TD="width: 40, align: center"]2[/TD]
[TD="width: 220"]Spanish_Castilla_La_Mancha[/TD]
[TD="width: 50, align: right"]6.66[/TD]

[TD="width: 40, align: center"]3[/TD]
[TD="width: 220"]Spanish_Castilla_Y_Leon[/TD]
[TD="width: 50, align: right"]7.33[/TD]

[TD="width: 40, align: center"]4[/TD]
[TD="width: 220"]Southwest_French[/TD]
[TD="width: 50, align: right"]7.5[/TD]

[TD="width: 40, align: center"]5[/TD]
[TD="width: 220"]Spanish_Aragon[/TD]
[TD="width: 50, align: right"]7.53[/TD]

[TD="width: 40, align: center"]6[/TD]
[TD="width: 220"]Spanish_Cataluna[/TD]
[TD="width: 50, align: right"]8.07[/TD]

[TD="width: 40, align: center"]7[/TD]
[TD="width: 220"]Spanish_Extremadura[/TD]
[TD="width: 50, align: right"]8.21[/TD]

[TD="width: 40, align: center"]8[/TD]
[TD="width: 220"]Spanish_Andalucia[/TD]
[TD="width: 50, align: right"]8.47[/TD]

[TD="width: 40, align: center"]9[/TD]
[TD="width: 220"]Spanish_Valencia[/TD]
[TD="width: 50, align: right"]8.61[/TD]

[TD="width: 40, align: center"]10[/TD]
[TD="width: 220"]Portuguese[/TD]
[TD="width: 50, align: right"]8.61[/TD]

[TD="width: 40, align: center"]11[/TD]
[TD="width: 220"]Spanish_Murcia[/TD]
[TD="width: 50, align: right"]8.71[/TD]

[TD="width: 40, align: center"]12[/TD]
[TD="width: 220"]Spanish_Galicia[/TD]
[TD="width: 50, align: right"]9.38[/TD]

[TD="width: 40, align: center"]13[/TD]
[TD="width: 220"]French[/TD]
[TD="width: 50, align: right"]12.88[/TD]

[TD="width: 40, align: center"]14[/TD]
[TD="width: 220"]French_Basque[/TD]
[TD="width: 50, align: right"]13.53[/TD]

[TD="width: 40, align: center"]15[/TD]
[TD="width: 220"]North_Italian[/TD]
[TD="width: 50, align: right"]13.74[/TD]

[TD="width: 40, align: center"]16[/TD]
[TD="width: 220"]South_Dutch[/TD]
[TD="width: 50, align: right"]16.79[/TD]

[TD="width: 40, align: center"]17[/TD]
[TD="width: 220"]Southwest_English[/TD]
[TD="width: 50, align: right"]19.01[/TD]

[TD="width: 40, align: center"]18[/TD]
[TD="width: 220"]Tuscan[/TD]
[TD="width: 50, align: right"]19.52[/TD]

[TD="width: 40, align: center"]19[/TD]
[TD="width: 220"]West_German[/TD]
[TD="width: 50, align: right"]20.2[/TD]

[TD="width: 40, align: center"]20[/TD]
[TD="width: 220"]Southeast_English[/TD]
[TD="width: 50, align: right"]20.62[/TD]

Mixed Mode Population Sharing:

+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@

[TD="align: center"] # [/TD]

[TD="colspan: 3"] Primary Population (source) [/TD]
[TD="colspan: 3"] Secondary Population (source) [/TD]
[TD="align: right"] Distance [/TD]

[TD="width: 20, align: center"]1[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]94.8%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]5.2%[/TD]
[TD="width: 200"]Ossetian[/TD]

[TD="width: 50, align: right"]4.78[/TD]

[TD="width: 20, align: center"]2[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]5%[/TD]
[TD="width: 200"]North_Ossetian[/TD]

[TD="width: 50, align: right"]4.81[/TD]

[TD="width: 20, align: center"]3[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]94.9%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]5.1%[/TD]
[TD="width: 200"]Balkar[/TD]

[TD="width: 50, align: right"]4.87[/TD]

[TD="width: 20, align: center"]4[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]5%[/TD]
[TD="width: 200"]Chechen[/TD]

[TD="width: 50, align: right"]4.88[/TD]

[TD="width: 20, align: center"]5[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95.8%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]4.2%[/TD]
[TD="width: 200"]Abhkasian[/TD]

[TD="width: 50, align: right"]4.9[/TD]

[TD="width: 20, align: center"]6[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]5%[/TD]
[TD="width: 200"]Kabardin[/TD]

[TD="width: 50, align: right"]4.91[/TD]

[TD="width: 20, align: center"]7[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95.4%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]4.6%[/TD]
[TD="width: 200"]Adygei[/TD]

[TD="width: 50, align: right"]4.95[/TD]

[TD="width: 20, align: center"]8[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95.7%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]4.3%[/TD]
[TD="width: 200"]Georgian[/TD]

[TD="width: 50, align: right"]4.96[/TD]

[TD="width: 20, align: center"]9[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95.1%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]4.9%[/TD]
[TD="width: 200"]Nogay[/TD]

[TD="width: 50, align: right"]5.07[/TD]

[TD="width: 20, align: center"]10[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95.7%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]4.3%[/TD]
[TD="width: 200"]Tabassaran[/TD]

[TD="width: 50, align: right"]5.07[/TD]

[TD="width: 20, align: center"]11[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95.6%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]4.4%[/TD]
[TD="width: 200"]Kumyk[/TD]

[TD="width: 50, align: right"]5.1[/TD]

[TD="width: 20, align: center"]12[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]95.9%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]4.1%[/TD]
[TD="width: 200"]Lezgin[/TD]

[TD="width: 50, align: right"]5.1[/TD]

[TD="width: 20, align: center"]13[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]98%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]2%[/TD]
[TD="width: 200"]Ethiopian_Ari_cultivator[/TD]

[TD="width: 50, align: right"]5.19[/TD]

[TD="width: 20, align: center"]14[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]96.3%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]3.7%[/TD]
[TD="width: 200"]Tadjik[/TD]

[TD="width: 50, align: right"]5.24[/TD]

[TD="width: 20, align: center"]15[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]97.9%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]2.1%[/TD]
[TD="width: 200"]Somali[/TD]

[TD="width: 50, align: right"]5.25[/TD]

[TD="width: 20, align: center"]16[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]98%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]2%[/TD]
[TD="width: 200"]Ethiopian_Wolayta[/TD]

[TD="width: 50, align: right"]5.27[/TD]

[TD="width: 20, align: center"]17[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]96.9%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]3.1%[/TD]
[TD="width: 200"]Afghan_Pashtun[/TD]

[TD="width: 50, align: right"]5.27[/TD]

[TD="width: 20, align: center"]18[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]97.2%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]2.8%[/TD]
[TD="width: 200"]Kalash[/TD]

[TD="width: 50, align: right"]5.27[/TD]

[TD="width: 20, align: center"]19[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]98.3%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]1.7%[/TD]
[TD="width: 200"]Ethiopian_Gumuz[/TD]

[TD="width: 50, align: right"]5.28[/TD]

[TD="width: 20, align: center"]20[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]96.9%[/TD]
[TD="width: 200"]Spanish_Cantabria[/TD]

[TD="width: 30, align: right"]3.1%[/TD]
[TD="width: 200"]Afghan_Tadjik[/TD]

[TD="width: 50, align: right"]5.3
[/TD]
 
I don't want to know anything about religion

[h=6]Crusader Knight French / Lebanon[/h]SI-40 (1250 AD)

[h=6]mtDNA Haplogroup: U5a1g[/h][h=6]Y-DNA Haplogroup: R1b1a2a1a[/h]
Genetic Distance: 14.610
Sample Match! 98% closer than other users

This is my only coincidence with the Crusaders.

I am a Catholic and I am not interested in other religions before, now, or ever.


I don't give a damn about the other religions that pray to their GOD that I will pray to mine.
 
L677.jpg


What does it have to do with?


Does anyone know what my God is?


What do I have to do with relatively modern religions?
 
Last edited:
It doesnt have any connection to relgion
I just mention E-v22 cases in ancient remains😉
Regards
Adam
 
Last edited:
I don't want to know anything about religion

Crusader Knight French / Lebanon

SI-40 (1250 AD)

mtDNA Haplogroup: U5a1g

Y-DNA Haplogroup: R1b1a2a1a


Genetic Distance: 14.610
Sample Match! 98% closer than other users

This is my only coincidence with the Crusaders.

I am a Catholic and I am not interested in other religions before, now, or ever.


I don't give a damn about the other religions that pray to their GOD that I will pray to mine.


Keep your shirt on. This has nothing to do with "religion" per se, and we don't need any inter-religious bigotry showing up here, thank you very much.

Nobody is trying to freaking convert you.

Sometimes you'd think people aren't aware that Christianity is a Middle Eastern religion created by Jews and dominated by them and Near Easterners for a very long time.
 
farroukh from e3b haplozone
claim ramesses III belonged
To e-v22 sub branch

https://www.yfull.com/tree/E-PH2818/

By puting his values in negven predictor:thinking:


DYS 19 DYS 385a DYS 385b DYS 389I DYS 389II DYS 390 DYS 391 DYS 392 DYS 393 DYS 437 DYS 438 DYS 448 DYS 456 Y-GATA-H4
19 20 20 13 33 21 8 17 8 14 10 20 13 13
This is the haplotype of Ramesses III. The authors of the article, using the Athey's predictor actual for 2012, predicted him as E-M2.
8 years later the predictor Nevgen predicts him as E-PH2818.
One of PH2818's downstreams (E-Y32576) detected at one of mummies from the Pushkin Museum (Shepsi-pu-Min or Mahu).

Source:

http://community.haplozone.net/index.php?topic=3251.msg42958#new
 
farroukh from e3b haplozone
claim ramesses III belonged
To e-v22 sub branch
https://www.yfull.com/tree/E-PH2818/
By puting his values in negven predictor:thinking:
DYS 19 DYS 385a DYS 385b DYS 389I DYS 389II DYS 390 DYS 391 DYS 392 DYS 393 DYS 437 DYS 438 DYS 448 DYS 456 Y-GATA-H4
19 20 20 13 33 21 8 17 8 14 10 20 13 13
This is the haplotype of Ramesses III. The authors of the article, using the Athey's predictor actual for 2012, predicted him as E-M2.
8 years later the predictor Nevgen predicts him as E-PH2818.
One of PH2818's downstreams (E-Y32576) detected at one of mummies from the Pushkin Museum (Shepsi-pu-Min or Mahu).
Source:
http://community.haplozone.net/index.php?topic=3251.msg42958#new

In the first 12 markers I have these DYS but I don't have 385a or 385b I have DYS385 dry

DYS393
DYS390DYS19 **DYS391DYS385
DYS426 DYS388 DYS439 DYS389I DYS392 DYS389II ***

Y-GATA-H4
I have it in 26 to 34 markers in panel 3

If it helps someone to clarify something welcome, I honestly do not know what may be happening with Ramses III, although I imagine it.
 
farroukh from e3b haplozone
claim ramesses III belonged
To e-v22 sub branch
https://www.yfull.com/tree/E-PH2818/
By puting his values in negven predictor:thinking:
DYS 19 DYS 385a DYS 385b DYS 389I DYS 389II DYS 390 DYS 391 DYS 392 DYS 393 DYS 437 DYS 438 DYS 448 DYS 456 Y-GATA-H4
19 20 20 13 33 21 8 17 8 14 10 20 13 13
This is the haplotype of Ramesses III. The authors of the article, using the Athey's predictor actual for 2012, predicted him as E-M2.
8 years later the predictor Nevgen predicts him as E-PH2818.
One of PH2818's downstreams (E-Y32576) detected at one of mummies from the Pushkin Museum (Shepsi-pu-Min or Mahu).
Source:
http://community.haplozone.net/index.php?topic=3251.msg42958#new

Hey John thanks for the info E-PH2818/E-Y32576 is my branche too... greetings from the Frisian Pharaoh ROFLOL :grin::heart:
 
from albanian dna data base:cool-v:

https://translate.googleusercontent...blike/&usg=ALkJrhiFc8408B6x_eRyhENBmj5TfUlCyg

close to the end of entries some e-v22 haplotypes interesting
maybe it arrived there in roman times :thinking:
vlore

https://en.wikipedia.org/wiki/Vlorë_County


[TABLE="class: tablepress tablepress-id-9 dataTable no-footer, width: 708"]
[TR="class: row-916 even"]
[TD="class: column-2"]Mat[/TD]
[TD="class: column-3"]Dibër[/TD]
[TD="class: column-4"]Shqipëri[/TD]
[TD="class: column-5"]E1b-V22[/TD]
[/TR]
[/TABLE]
[TABLE="class: tablepress tablepress-id-9 dataTable no-footer, width: 708"]
[TR="class: row-916 even"]
[TD="class: column-2"][/TD]
[TD="class: column-3"][/TD]
[TD="class: column-4"][/TD]
[TD="class: column-5"][/TD]
[/TR]
[TR="class: row-917 odd"]
[TD="class: column-1"][/TD]
[TD="class: column-2"]Kurbin[/TD]
[TD="class: column-3"]Lezhë[/TD]
[TD="class: column-4"]Shqipëri[/TD]
[TD="class: column-5"]E1b-V22[/TD]
[/TR]
[TR="class: row-918 even"]
[TD="class: column-1"][/TD]
[TD="class: column-2"]Tiranë[/TD]
[TD="class: column-3"]Tiranë[/TD]
[TD="class: column-4"]Shqipëri[/TD]
[TD="class: column-5"]E1b-V22[/TD]
[/TR]
[TR="class: row-919 odd"]
[TD="class: column-1"][/TD]
[TD="class: column-2"]Sarandë[/TD]
[TD="class: column-3"]Vlorë[/TD]
[TD="class: column-4"]Shqipëri[/TD]
[TD="class: column-5"]E1b-V22[/TD]
[/TR]
[TR="class: row-920 even"]
[TD="class: column-1"][/TD]
[TD="class: column-2"]Vlorë[/TD]
[TD="class: column-3"]Vlorë[/TD]
[TD="class: column-4"]Shqipëri[/TD]
[TD="class: column-5"]E1b-V22[/TD]
[/TR]
[/TABLE]
 
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