Post you Eurogenes K36 nMonte results

[RN97]

Mine:

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
1. German_West 10.81754
2. South_Germany 11.55607
3. German_North 11.94102
4. SE_England 11.96700


[1] "distance%=4.0959 / distance=0.040959"

RN97

Central_Dutch 29.30
Denmark 16.60
FR_Bretagne 10.80
Druze 10.25
Norway 6.70
Northern_Ireland 6.05
Chuvash 5.30
IT_Sardinia 4.85
Spain_La-Rioja 4.85
Brahui_PAK 2.85
North_Dutch 1.25
Spain_Valencia 0.90
Burusho_PAK 0.30

Here is how you do it.
1. Download these files: K36 (https://ufile.io/kbkxm) and R (https://cran.r-project.org/)

2. Make a folder named EuK36 and extract all the files from the K36 file/ zip to the EuK36 folder.

3. Open the "you" document in the folder and instead of
RN97,0,0,0.73,2.52,0,7.94,0,0,3.61,0,3.58,7.26,3.4 4,8.61,6.51,10.93,0,6.97,0,0,0,11.30,0,15.65,0,0,0 ,0,0,0,3.60,0,2.86,0,1.35,3.13
as the 2nd row change the name to your name and change the numbers to your K36 results. Otherwise, alter nothing.

4. Open R ->go to File -> change dir.. -> find where on your PC you stored your EuK36 folder and select it.

5. Type in the command: source('nMonte2.R')

6. Type in the command: getMonte('pop.csv', 'you.csv')
and wait about 2-4 minutes depending on the speed of your PC, then post what you get. It sorta works like oracle, but GEDMatch has none for K36.

[de Burgh II]

Unrestricted:
dB

Welsh 35.65
South_Dutch 25.35
FR_Bretagne 17.10
SW-England 11.95
NW-England 4.40
France_SW 3.60
France_NorthWest 1.85
Sioux_SouthDakota 0.10

Restricted:
dB

Welsh 35.75
South_Dutch 25.40
FR_Bretagne 17.10
SW-England 11.80
NW-England 4.50
France_SW 3.60
France_NorthWest 1.85

[Rius]

1. CLOSEST SINGLE ITEM DISTANCES

Turkey_average 13.17227
Tatar_Crimea_Coast 15.09368
Turkish_Anatolia 15.13417
Caucasus_Jews 15.87159
Greek_Azov 16.22258
Armenian 17.17487
GR_Pontic 17.93736

RESTRICTED:

Druze 20.95
Georgian_Imereti 15.60
Georgian_Svan 15.10
GR_Dodecanes 12.45
Lithuanian 11.65
Spain_La-Rioja 8.10
Brahui_PAK 4.40
IT_Sardinia 4.05
Chechen 3.85
Japan 1.35
Finnish_East1.35
Saudi 1.15

[Lek]

Can some of you do this for me?

[Rius]

Can some of you do this for me?

How much will you pay ? :)

[Rius]

sorry but i'm not interested.

Post your result, i will do it free

[Lek]

sorry but i'm not interested.

Post your result, i will do it free

Im just joking man, i guess that was very vulgar. Thanks will rep. Can you pm me results.

Population
Amerindian -
Arabian 2.81
Armenian 1.99
Basque 3.10
Central_African -
Central_Euro 4.11
East_African -
East_Asian -
East_Balkan 9.88
East_Central_Asian -
East_Central_Euro 6.61
East_Med 4.35
Eastern_Euro 3.31
Fennoscandian -
French 4.39
Iberian 7.89
Indo-Chinese -
Italian 21.36
Malayan -
Near_Eastern 5.07
North_African -
North_Atlantic 4.02
North_Caucasian 4.45
North_Sea 7.09
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 3.57
West_Med 5.99

[Lek]

CLOSEST SINGLE ITEM DISTANCES"

Albania_Montenegro Kosovo Albania_North Albania_FYROM
8.630716 9.303905 9.674108 9.748942
Macedonia_FYROM IT_Veneto Greek_Macedonia South_Romania
10.214013 10.225748 10.391244 10.719334

Ali_Pasha

IT_Veneto 38.85
Albania_FYROM 34.95
Montenegro 12.50
Karachay 5.45
Albania_South 3.65
Saudi 2.65
Serbian 0.95
IT_Sardinia 0.80
Swiss_Italian 0.10
Austria_Tyrol 0.10


RESTRICTED nMONTE"

IT_Veneto 40.20
Albania_FYROM 36.85
Montenegro 12.65
Karachay 5.45
Saudi 2.60
Albania_South 2.25

[Dibran]

CLOSEST SINGLE ITEM DISTANCES"

Albania_Montenegro Kosovo Albania_North Albania_FYROM
8.630716 9.303905 9.674108 9.748942
Macedonia_FYROM IT_Veneto Greek_Macedonia South_Romania
10.214013 10.225748 10.391244 10.719334

Ali_Pasha

IT_Veneto 38.85
Albania_FYROM 34.95
Montenegro 12.50
Karachay 5.45
Albania_South 3.65
Saudi 2.65
Serbian 0.95
IT_Sardinia 0.80
Swiss_Italian 0.10
Austria_Tyrol 0.10


RESTRICTED nMONTE"

IT_Veneto 40.20
Albania_FYROM 36.85
Montenegro 12.65
Karachay 5.45
Saudi 2.60
Albania_South 2.25

Lmao where did the Karachy and saudi come from.

[Dibran]

sorry but i'm not interested.

Post your result, i will do it free

Could you run mine for me, good sir? I had one done for 23andme, but I wonder what k36 for LivingDNA will read as. I notice it differs from regular gedmatch to genesis. Which do you recommend I post?

[Kelmendasi]

Can somebody please do mine?
Population
Amerindian -
Arabian -
Armenian 3.85
Basque 1.39
Central_African -
Central_Euro 4.71
East_African -
East_Asian -
East_Balkan 6.74
East_Central_Asian -
East_Central_Euro 8.43
East_Med 10.89
Eastern_Euro 3.59
Fennoscandian 0.61
French 1.24
Iberian 14.94
Indo-Chinese -
Italian 20.32
Malayan -
Near_Eastern 7.97
North_African -
North_Atlantic -
North_Caucasian -
North_Sea 4.75
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 3.10
West_Med 7.47

[RN97]

Could you run mine for me, good sir? I had one done for 23andme, but I wonder what k36 for LivingDNA will read as. I notice it differs from regular gedmatch to genesis. Which do you recommend I post?


Can somebody please do mine?
Population
Amerindian -
Arabian -
Armenian 3.85
Basque 1.39
Central_African -
Central_Euro 4.71
East_African -
East_Asian -
East_Balkan 6.74
East_Central_Asian -
East_Central_Euro 8.43
East_Med 10.89
Eastern_Euro 3.59
Fennoscandian 0.61
French 1.24
Iberian 14.94
Indo-Chinese -
Italian 20.32
Malayan -
Near_Eastern 7.97
North_African -
North_Atlantic -
North_Caucasian -
North_Sea 4.75
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 3.10
West_Med 7.47

Post your results here like this:
RN97,0,0,0.73,2.52,0,7.94,0,0,3.61,0,3.58,7.26,3.4 4,8.61,6.51,10.93,0,6.97,0,0,0,11.30,0,15.65,0,0,0 ,0,0,0,3.60,0,2.86,0,1.35,3.13
and I'll do it. The numbers obv. are in the same order as they are on gedmatch.

[Dibran]

Post your results here like this:
RN97,0,0,0.73,2.52,0,7.94,0,0,3.61,0,3.58,7.26,3.4 4,8.61,6.51,10.93,0,6.97,0,0,0,11.30,0,15.65,0,0,0 ,0,0,0,3.60,0,2.86,0,1.35,3.13
and I'll do it. The numbers obv. are in the same order as they are on gedmatch.

Dibran,0,0,3.44,3.03,0,5.77,0,0,4.33,0,6.32,11.78, 4.54,0,0,12.86,0,30.43,0,1.02,0,0.22,0,0,0,0,0,0,0 ,0,0,0,0,0,8.34,7.92


Thank you!

[Kelmendasi]

Post your results here like this:
RN97,0,0,0.73,2.52,0,7.94,0,0,3.61,0,3.58,7.26,3.4 4,8.61,6.51,10.93,0,6.97,0,0,0,11.30,0,15.65,0,0,0 ,0,0,0,3.60,0,2.86,0,1.35,3.13
and I'll do it. The numbers obv. are in the same order as they are on gedmatch.
Kl. 0,0,3.85,1.39,0,4.71,0,0,6.74,0,8.43,10.89,3.59,0. 61,1.24,14.94,0,20.32,0,7.97,0,0,4.75,0,0,0,0,0,0, 0,0,0,0,3.10,7.47 Thanks bro

[Coolguy1]

Anyone wanna run my results?

Population
Amerindian -
Arabian -
Armenian 5.71
Basque 0.81
Central_African -
Central_Euro 3.51
East_African -
East_Asian -
East_Balkan 7.23
East_Central_Asian -
East_Central_Euro 5.71
East_Med 13.80
Eastern_Euro 3.79
Fennoscandian 0.72
French 5.48
Iberian 8.71
Indo-Chinese -
Italian 20.43
Malayan -
Near_Eastern 9.23
North_African 0.13
North_Atlantic -
North_Caucasian 6.86
North_Sea 4.97
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural 0.22
West_African -
West_Caucasian -
West_Med 2.67

[Lek]

Lmao where did the Karachy and saudi come from.

Steppe and CHG or just Caucasian. Saudi most likely neolithic or and natufian or something. Same as other calcs really. Northern Italian and the rest are just Balkan/south east europe , med etc.

But no northern slavic like Polish, Ukrainian... thought i was slav mixed meeeeen ..

[Wrong]

Greetings from this pure guy with 0% Albania_South admixture.

http://i.imgur.com/zj9c1n5.png


Seems like I have no Tosk in my family unlike you J2b2bro:


CLOSEST SINGLE ITEM DISTANCES"

Albania_Montenegro Kosovo Albania_North Albania_FYROM
8.630716 9.303905 9.674108 9.748942
Macedonia_FYROM IT_Veneto Greek_Macedonia South_Romania
10.214013 10.225748 10.391244 10.719334

Ali_Pasha

IT_Veneto 38.85
Albania_FYROM 34.95
Montenegro 12.50
Karachay 5.45
Albania_South 3.65
Saudi 2.65
Serbian 0.95
IT_Sardinia 0.80
Swiss_Italian 0.10
Austria_Tyrol 0.10


RESTRICTED nMONTE"

IT_Veneto 40.20
Albania_FYROM 36.85
Montenegro 12.65
Karachay 5.45
Saudi 2.60
Albania_South 2.25

[Dibran]

Steppe and CHG or just Caucasian. Saudi most likely neolithic or and natufian or something. Same as other calcs really. Northern Italian and the rest are just Balkan/south east europe , med etc.

But no northern slavic like Polish, Ukrainian... thought i was slav mixed meeeeen ..

True. Yea I score really high IT component. Its central med related to neolithic. However, because Italians have more of it, and me and my father have an atypical result higher than any italian, it shifts our results to the highest mean. Should see some tuscan, north italian in the result. The mean avg i think is like 26 for Italy. My father gets 35 and me almost 31. So we must have inherited alot of neolithic. because mean for albanians is like 20-22

[RN97]

Dibran,0,0,3.44,3.03,0,5.77,0,0,4.33,0,6.32,11.78, 4.54,0,0,12.86,0,30.43,0,1.02,0,0.22,0,0,0,0,0,0,0 ,0,0,0,0,0,8.34,7.92


Thank you!

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
1. IT_Tuscany 14.66512
2. Albania_North 14.78799
3. IT_Lazio 14.88508
4. Kosovo 14.90251

[1] "distance%=12.9076 / distance=0.129076"

Dibran

Kosovo 32.10
IT_Tuscany 24.90
IT_Abruzzo 18.10
Albania_FYROM 13.50
IT_Sardinia 10.50
GR_Istanbul 0.40
IT_Lazio 0.35

For some reason your results took like 7 min more than mine :p and you also get larger distances.

[Kelmendasi]

Greetings from this pure guy with 0% Albania_South admixture.

[IG]http://i.imgur.com/zj9c1n5.png[/IMG]

Seems like I have no Tosk in my family.
I swear your grandmother or someone else in your family is a Tosk from Ohrid xD

[Dibran]

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
1. IT_Tuscany 14.66512
2. Albania_North 14.78799
3. IT_Lazio 14.88508
4. Kosovo 14.90251

[1] "distance%=12.9076 / distance=0.129076"

Dibran

Kosovo 32.10
IT_Tuscany 24.90
IT_Abruzzo 18.10
Albania_FYROM 13.50
IT_Sardinia 10.50
GR_Istanbul 0.40
IT_Lazio 0.35

For some reason your results took like 7 min more than mine :p and you also get larger distances.

Wayyy different from 23and me nmonte lol. I get no Kosovo in that one and almost 60 percent albanian macedonia.

[RN97]

Wayyy different from 23and me nmonte lol. I get no Kosovo in that one and almost 60 percent albanian macedonia.

Yeah, a peculiar thing about this calc. is the distances, like why would an Albanian get 10+ distance to Albanians? IDK maybe Litvin can explain, he's the advocate for this calc. :p
BTW if anyone wants me to do them, post your results in the format I showed and wait, as it seems to take up to 10 minutes.

[RN97]

Kl. 0,0,3.85,1.39,0,4.71,0,0,6.74,0,8.43,10.89,3.59,0. 61,1.24,14.94,0,20.32,0,7.97,0,0,4.75,0,0,0,0,0,0, 0,0,0,0,3.10,7.47 Thanks bro

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
1.Albania_North 9.121949
2.Kosovo 9.239088
3.Gr_Eubea 9.307231
4.Albania_South 9.788852


[1] "distance%=5.6969 / distance=0.056969"
Klemendasi

Albania_South 36.10
IT_Campania 22.45
PL_Sudovia 13.00
IT_Sardinia 7.90
Spain_La-Rioja 7.75
FR_Corsica 7.40
Sicily_Messina 4.35
Kosovo 0.75
IT_Abruzzo 0.30

[Wrong]

I swear your grandmother or someone else in your family is a Tosk from Ohrid xD
Nah bro. I am pure Gheg and so is she.

Results = Truth.

[Kelmendasi]

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
1.Albania_North 9.121949
2.Kosovo 9.239088
3.Gr_Eubea 9.307231
4.Albania_South 9.788852


[1] "distance%=5.6969 / distance=0.056969"
Klemendasi

Albania_South 36.10
IT_Campania 22.45
PL_Sudovia 13.00
IT_Sardinia 7.90
Spain_La-Rioja 7.75
FR_Corsica 7.40
Sicily_Messina 4.35
Kosovo 0.75
IT_Abruzzo 0.30

Hahaha xD.

[Lek]

Greetings from this pure guy with 0% Albania_South admixture.

http://i.imgur.com/zj9c1n5.png


Seems like I have no Tosk in my family unlike you J2b2bro:

But you got greek kythera, and fyrom which does indicate youre more south and. Most likely a tosk from those areas so all together you are a tosk or very south. I get high italian veneto 44% which is northern italy. Im way northern than you. Compare it to your 9% lol.... then i get even noise of austria tyrol. As if tosks are located only within south Albania lol...

Just accept it man


True. Yea I score really high IT component. Its central med related to neolithic. However, because Italians have more of it, and me and my father have an atypical result higher than any italian, it shifts our results to the highest mean. Should see some tuscan, north italian in the result. The mean avg i think is like 26 for Italy. My father gets 35 and me almost 31. So we must have inherited alot of neolithic. because mean for albanians is like 20-22

That guy maybe who did it for me put my numbers in wrong maybe i dont know or its correct. Yeah you seem more southern than me.

[Wrong]

But you got greek kythera, and fyrom which does indicate youre more south and. Most likely a tosk from those areas so all together you are a tosk or very south. I get high italian veneto 44% which is northern italy. Im way northern than you. Compare it to your 9% lol.... then i get even noise of austria tyrol. As if tosks are located only within south Albania lol...

Just accept it man



That guy maybe who did it for me put my numbers in wrong maybe i dont know or its correct. Yeah you seem more southern than me.
Yeah bro, you got more foreign ancestry as you don't total more % in Albanians. Atleast I don't get Sweden + Saudi.

[Dibran]

But you got greek kythera, and fyrom which does indicate youre more south and. Most likely a tosk from those areas so all together you are a tosk or very south. I get high italian veneto 44% which is northern italy. Im way northern than you. Compare it to your 9% lol.... then i get even noise of austria tyrol. As if tosks are located only within south Albania lol...

Just accept it man



That guy maybe who did it for me put my numbers in wrong maybe i dont know or its correct. Yeah you seem more southern than me.



Its possible. My 23 and me nmonte was wayyy different. Had like 56 Alb_FYROM. and the rest italian sardinian etc. This is saying Kosova predominantly with alot more italian this time lol.

[Fustan]

The eternal Autozoomali fate.

http://crimefeed.com/wp-content/uploads/2016/06/gallows-858572_640.jpg

Meanwhile the Haplotist lives the life of enlightenment.

http://puu.sh/wHZec/96eaee8a53.png

[Kelmendasi]

Something is wrong, I get closest distance with Albania_North but then it says I am Albania_South xD hahaha

[Dibran]

Something is wrong, I get closest distance with Albania_North but then it says I am Albania_South xD hahaha

I would take it with a grain of salt. Its accurate in the sense that it detects a general geographic area you belong to. But outisde that it seems off. My 23 nmonte is different than my livingdna nmonte.

[RN97]

Yeah bro, you got more foreign ancestry as you don't total more % in Albanians. Atleast I don't have Sweden + Saudi.

The calc tries to find mixes that are the closest to your results. The closer the distance (that's why it's important to post distance) the more exotic they are. If you end up with a mix that's 12, you'll get less exotic results than a result that's at a 4 distance. It also depends. If your results are very close to a average in the spreadsheet, that will also yield less exotic results.

[Lek]

Greetings from this pure guy with 0% Albania_South admixture.

http://i.imgur.com/zj9c1n5.png


Seems like I have no Tosk in my family unlike you J2b2bro:


Nah bro. I am pure Gheg and so is she.

Results = Truth.

Youre not pure gheg man... i got even karachy means i got chechen blood... my ancestors fucked circassian bitches in Kosovo while yours were sucking greek cock and wiping geeek shoes.. then we fucked some saudi bitches that entered the ottoman empire and threw money at them like kingzzzzx arab moooooneyyyyyyyy....


https://youtu.be/k8-4WFz-sKI




These results do seem accurate as italian veneto is there like on other calcs and makes me northern ilyrian who plots with Northern italians while your lanky bitch ass be tosk from fyrom and greece

[Wrong]

Youre not pure gheg man... i got even karachy means i got chechen blood... my ancestors fucked circassian bitches in Kosovo while yours were sucking greek cock and wiping geeek shoes.. then we fucked some saudi bitches that entered the ottoman empire and threw money at them like kingzzzzx arab moooooneyyyyyyyy....


https://youtu.be/k8-4WFz-sKI




These results do seem accurate as italian veneto is there like on other calcs and makes me northern ilyrian who plots with Northern italians while your lanky bitch ass ve tosk from fyrom and greece

The coping bro the coping....... xD HAHAHAHA

[Dibran]

The calc tries to find mixes that are the closest to your results. The closer the distance (that's why it's important to post distance) the more exotic they are. If you end up with a mix that's 12, you'll get less exotic results than a result that's at a 4 distance. It also depends. If your results are very close to a average in the spreadsheet, that will also yield less exotic results.

In other words its all based on algorithms and current dna data.

[RN97]

Something is wrong, I get closest distance with Albania_North but then it says I am Albania_South xD hahaha

It makes sense since the calc tries to find a mix closest to you.
You also got this:
PL_Sudovia 13.00
Likely why south fits best, it balances it out better.

[Kelmendasi]

I would take it with a grain of salt. Its accurate in the sense that it detects a general geographic area you belong to. But outisde that it seems off. My 23 nmonte is different than my livingdna nmonte.
Meh I sometimes think these things are funny xD. It also detected some Slav in me which hasn't been picked up in any other calculators so far but idc xD

[The Illyrian Warrior]

Can someone run this shit for me?!

[Wrong]

The calc tries to find mixes that are the closest to your results. The closer the distance (that's why it's important to post distance) the more exotic they are. If you end up with a mix that's 12, you'll get less exotic results than a result that's at a 4 distance. It also depends. If your results are very close to a average in the spreadsheet, that will also yield less exotic results.
This is my unrestricted. Sad to find some South_Albanian there :(

http://i.imgur.com/rBB2gSo.png

[Kelmendasi]

It makes sense since the calc tries to find a mix closest to you.
You also got this:
PL_Sudovia 13.00
Likely why south fits best, it balances it out better.
I get Kosovar and Albania_North most of the times on other calcs but Idk. Hehehe some Slav, no other calc picked it up xD...

[RN97]

In other words its all based on algorithms and current dna data.

yeah basically. It just uses the pop. averages in the spreadsheet to calculate a result that yields the closest distance, but thus far it has been worst for you since you still somehow ended up with a 12% distance :P

[Dibran]

Meh I sometimes think these things are funny xD. It also detected some Slav in me which hasn't been picked up in any other calculators so far but idc xD

Even if it was accurate, fuck cares? Chances are your legacy will survive longer evolutionarilly speaking. Less inbreeding lol.

[Fustan]

This is my unrestricted. Sad to find some South_Albanian there :(

http://i.imgur.com/rBB2gSo.png

You are 1/4 Ohrid. This is 1/4 Holy South Albanian (Basta, Ali Pasha Janina, Muhamad Ali Pasha etc etc)

[Wrong]

HAIL PURE ANCIENT MACEDONIAN_ALBANIAN + SPARTAN

REALDORIC-GHEGNIA

[RN97]

I get Kosovar and Albania_North most of the times on other calcs but Idk. Hehehe some Slav, no other calc picked it up xD...

Mostly due to oracle using 4 populations max. This one uses as many as in the spreadsheet as long as it gets a closer result. In the restricted (which I didn't post because too long to calculate + a closer distance) you might have gotten something else. You got 9 different pop. Restricted limits the options to 4.

[Kelmendasi]

Even if it was accurate, fuck cares? Chances are your legacy will survive longer evolutionarilly speaking. Less inbreeding lol.
True, true broski. I myself prefer Scandinavian women so maybe I will not get an Albanian wife but idk

[Lek]

Yeah bro, you got more foreign ancestry as you don't total more % in Albanians. Atleast I don't get Sweden + Saudi.

I do total more percentage in Albanians. Im more northern Albanian than you as i told you before... im more malsors, just look man

Albania_Montenegro Kosovo Albania_North Albania_FYROM
8.630716 9.303905 9.674108 9.748942
Macedonia_FYROM IT_Veneto Greek_Macedonia South_Romania
10.214013 10.225748 10.391244 10.719334

Ali_Pasha

IT_Veneto 38.85
Albania_FYROM 34.95
Montenegro 12.50
Karachay 5.45
Albania_South 3.65
Saudi 2.65
Serbian 0.95
IT_Sardinia 0.80
Swiss_Italian 0.10
Austria_Tyrol 0.10


RESTRICTED nMONTE"

IT_Veneto 40.20
Albania_FYROM 36.85
Montenegro 12.65
Karachay 5.45
Saudi 2.60
Albania_South 2.25


I got more northern Albania/Montenegro because im more malsor. Youre a tosk dude, and you do have more foreign ancestry than me

[Dibran]

True, true broski. I myself prefer Scandinavian women so maybe I will not get an Albanian wife but idk

My uncle did that and she speaks better Albanian than I do lmao. she really committed.

[Wrong]

I do total more percentage in Albanians. Im more northern Albanian than you as i told you before... im more malsors, just look man

Albania_Montenegro Kosovo Albania_North Albania_FYROM
8.630716 9.303905 9.674108 9.748942
Macedonia_FYROM IT_Veneto Greek_Macedonia South_Romania
10.214013 10.225748 10.391244 10.719334

Ali_Pasha

IT_Veneto 38.85
Albania_FYROM 34.95
Montenegro 12.50
Karachay 5.45
Albania_South 3.65
Saudi 2.65
Serbian 0.95
IT_Sardinia 0.80
Swiss_Italian 0.10
Austria_Tyrol 0.10


RESTRICTED nMONTE"

IT_Veneto 40.20
Albania_FYROM 36.85
Montenegro 12.65
Karachay 5.45
Saudi 2.60
Albania_South 2.25


I got more northern Albania/Montenegro because im more malsor. Youre a tosk dude, and you do have more foreign ancestry than me

You're mostly Venetian bro as it's in your top match, Venetians had colonies in Albania. I'm more pure Albanian.

Maybe I'm mixed with Ancient Macedonians which is why I get alittle Greek here and there.

[Fustan]

Ali is Venetia Albanian
Boss is Holy Albanian
I am CeltoSlav Albanian

[Wrong]

We should all accept realities, we all come from somewhere. But in the end we are all Albanian.

[Dibran]

We should all accept realities, we all come from somewhere. But in the end we are all Albanian.

pretty much. There is a degree of inaccuracy in these though. I am sure it will become more refined over time with increased popularity in DNA testing.

[The Illyrian Warrior]

pretty much. There is a degree of inaccuracy in these though. I am sure it will become more refined over time with increased popularity in DNA testing.

These conventional dna companies happen to take only superficial part of our genome not fully human genome sequencing which is pricey testing at present, in feasible future these tests will be much more accurate with additional ancient remains waiting to be excavated and than we will see where we stand as a nation and individuals.

[Dibran]

These conventional dna companies happen to take only superficial part of our genome not fully human genome sequencing which is pricey testing at present, in feasible future these tests will be much more accurate with additional ancient remains waiting to be excavated and than we will see where we stand as a nation and individuals.

It will be fascinating, whatever the result. I wonder if Yelite does ancestry as part of the test? I noticed gedmatch genesis has the apility to upload bam files. I cant imagine thats just for haplogroups. thats the full genome, so I would assume if i can run these calculators with that file, it will be the closest truth I can get.

With 23file I get mostly Alb_Fyrom with tuscan abruzzo and sardinian making up 40 percent. With living It is mostly Italian with some from Kosova lol. so I presume they examine different sections of the genome and as such arrive with fragmented results.

[Wrong]

Admixture and distances is 100% autism, I don't take it seriously, it changes every damn generation.

[Kelmendasi]

Admixture and distances is 100% autism, I don't take it seriously.
Admix is fairly accurate imo but distance idk about that lol

[Wrong]

Admix is fairly accurate imo but distance idk about that lol
Still changes whoever one procreates with, it's strongly irrelevant.

Alot of people jumped on the Steppe bandwagon for the Ancient J2b2, but might aswell be a Neolithic in origin.

[Coolguy1]

Yeah, a peculiar thing about this calc. is the distances, like why would an Albanian get 10+ distance to Albanians? IDK maybe Litvin can explain, he's the advocate for this calc. :p
BTW if anyone wants me to do them, post your results in the format I showed and wait, as it seems to take up to 10 minutes.

Sorcelow. 0,0,5.71,.81,0,3.51,0,0,7.23,0,5.71,13.8,3.79 .72,5.48,8.71,0,20.43,0,9.23,.13,0,6.86,4.97,0,0,
0,0,0,0,0,0,.22,0,0,2.67

Hope its not a problem

[Skerdilaid]

Albania_South 12.000721
IT_North 11.994499
Kosovo 11.332694
Albania_North 11.005628
Albania_Fyrom 10.973964
Albania_Montenegro 10.751499
IT_Veneto 9.370729
IT_Friuli 9.273251

skerdilaid

Albania_FYROM 45.0
IT_Veneto 25.7
SW-England 16.1
IT_Campania 13.2
France_NorthWest 0.0
England_Cumberland 0.0



:rotfl:

[Lek]

Albania_South 12.000721
IT_North 11.994499
Kosovo 11.332694
Albania_North 11.005628
Albania_Fyrom 10.973964
Albania_Montenegro 10.751499
IT_Veneto 9.370729
IT_Friuli 9.273251

skerdilaid

Albania_FYROM 45.0
IT_Veneto 25.7
SW-England 16.1
IT_Campania 13.2
France_NorthWest 0.0
England_Cumberland 0.0



:rotfl:

Youre still more Gheg than BigBoss and many others here. :D

[RN97]

Sorcelow. 0,0,5.71,.81,0,3.51,0,0,7.23,0,5.71,13.8,3.79 .72,5.48,8.71,0,20.43,0,9.23,.13,0,6.86,4.97,0,0,
0,0,0,0,0,0,.22,0,0,2.67

Hope its not a problem

That's wrong bro :p you have to separate each number by a comma and use 0.81 instead of .81, but I'll fix it and do it

[RN97]

Sorcelow. 0,0,5.71,.81,0,3.51,0,0,7.23,0,5.71,13.8,3.79 .72,5.48,8.71,0,20.43,0,9.23,.13,0,6.86,4.97,0,0,
0,0,0,0,0,0,.22,0,0,2.67

Hope its not a problem

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
1.Greek_Peloponnes 7.136893
2.Greek_Macedonia 7.980258
3.Albania_South 8.622968
4.Gr_Eubea 9.058778


[1] "distance%=5.5307 / distance=0.055307"

Sorcelow

Albania_South 28.6
Montenegro 24.2
GR_Cyclades 22.7
GR_Kythera 11.3
Ashkenazi_Eastern_Euro 6.5
Druze 4.0
Chechen 1.3
Swiss_Italian 1.2
IT_Marche 0.1
IT_North 0.1

[Coolguy1]

[1] "1. CLOSEST SINGLE ITEM DISTANCES"
1.Greek_Peloponnes 7.136893
2.Greek_Macedonia 7.980258
3.Albania_South 8.622968
4.Gr_Eubea 9.058778

Thanks man, what is nmonte even? Lol


[1] "distance%=5.5307 / distance=0.055307"

Sorcelow

Albania_South 28.6
Montenegro 24.2
GR_Cyclades 22.7
GR_Kythera 11.3
Ashkenazi_Eastern_Euro 6.5
Druze 4.0
Chechen 1.3
Swiss_Italian 1.2
IT_Marche 0.1
IT_North 0.1

Thanks man, what is nmonte even? Lol

[Argentano]

sorry but i'm not interested.

Post your result, i will do it free


Mine:


Here is how you do it.
1. Download these files: K36 (https://ufile.io/kbkxm) and R (https://cran.r-project.org/)

2. Make a folder named EuK36 and extract all the files from the K36 file/ zip to the EuK36 folder.

3. Open the "you" document in the folder and instead of
RN97,0,0,0.73,2.52,0,7.94,0,0,3.61,0,3.58,7.26,3.4 4,8.61,6.51,10.93,0,6.97,0,0,0,11.30,0,15.65,0,0,0 ,0,0,0,3.60,0,2.86,0,1.35,3.13
as the 2nd row change the name to your name and change the numbers to your K36 results. Otherwise, alter nothing.

4. Open R ->go to File -> change dir.. -> find where on your PC you stored your EuK36 folder and select it.

5. Type in the command: source('nMonte2.R')

6. Type in the command: getMonte('pop.csv', 'you.csv')
and wait about 2-4 minutes depending on the speed of your PC, then post what you get. It sorta works like oracle, but GEDMatch has none for K36.



I want to do this with average latino K15. Can you explain me how to do it?


Im just interested in a result like X Iberian X italian X german X Amerindian X SSA


Just those 5 components

[RN97]

I want to do this with average latino K15. Can you explain me how to do it?


Im just interested in a result like X Iberian X italian X german X Amerindian X SSA


Just those 5 components

The steps are in the post you quoted :p

[Argentano]

The steps are in the post you quoted :p

yes but you have a link to k36 and i need to do it with k15 XD

Also i dont understand the steps Dont you have spanish steps for spics?

[Argentano]

The steps are in the post you quoted :p

ok i managed to donwload the k15 as php and then saved us csv.

Now i have to make a new csv with the latino results right?

[RN97]

ok i managed to donwload the k15 as php and then saved us csv.

Now i have to make a new csv with the latino results right?

I'll try to cook something out. Just give me a moment. Just post the 5 pop. references results you want and I'll try to do this. I'm currently eating so gimme 1 hour or so :P

[RN97]

yes but you have a link to k36 and i need to do it with k15 XD

Also i dont understand the steps Dont you have spanish steps for spics?

Okay bruh, I think I did it for you
https://uploadfiles.io/23iao
Download that file(use WINrar or something like that), place the folder on your PC so you can easily find it, then follow these steps:

- Open R ->go to File -> change dir.. -> find where on your PC you stored your EuK36 folder and select it.

- Type in the command: source('nMonte2.R')

- Type in the command: getMonte('pop.csv', 'you.csv')
and wait about 2-4 minutes depending on the speed of your PC, then post what you get. It sorta works like oracle, but GEDMatch has none for K36.

Remember that you need to replace my results in the "you" file with whatever result you want tested (make sure to only replace the numbers and name, keep the format the same).
The pop-references I used are west_german, s. Italian, Amerindian and Portuguese, but just go to the Eurogenes K15 spreadsheet and replace those results with whatever you want in the "pop" file(again,remember to keep the format identical).
Good luck son.
BTW you have to have excel for this file to work I'm pretty sure.

[Argentano]

Okay bruh, I think I did it for you
https://uploadfiles.io/23iao
Download that file(use WINrar or something like that), place the folder on your PC so you can easily find it, then follow these steps:

Remember that you need to replace my results in the "you" file with whatever result you want tested (make sure to only replace the numbers and name, keep the format the same).
The pop-references I used are west_german, s. Italian, Amerindian and Portuguese, but just go to the Eurogenes K15 spreadsheet and replace those results with whatever you want in the "pop" file(again,remember to keep the format identical).
Good luck son.
BTW you have to have excel for this file to work I'm pretty sure.

thanks bro:thumb001:, sorry i didnt answer before, i was working. I will try it now

[Argentano]

Okay bruh, I think I did it for you
https://uploadfiles.io/23iao
Download that file(use WINrar or something like that), place the folder on your PC so you can easily find it, then follow these steps:

Remember that you need to replace my results in the "you" file with whatever result you want tested (make sure to only replace the numbers and name, keep the format the same).
The pop-references I used are west_german, s. Italian, Amerindian and Portuguese, but just go to the Eurogenes K15 spreadsheet and replace those results with whatever you want in the "pop" file(again,remember to keep the format identical).
Good luck son.
BTW you have to have excel for this file to work I'm pretty sure.

IT WORKED THANKS!!

[Sikeliot]

Can someone try for my closest 2 Sicilian cousins?

This one is Palermitan:

Population
Amerindian -
Arabian 7.36
Armenian 5.48
Basque 0.56
Central_African -
Central_Euro 0.56
East_African 0.58
East_Asian -
East_Balkan 3.63
East_Central_Asian -
East_Central_Euro 0.69
East_Med 16.68
Eastern_Euro 2.05
Fennoscandian -
French 1.31
Iberian 9.35
Indo-Chinese -
Italian 19.24
Malayan -
Near_Eastern 11.57
North_African 2.67
North_Atlantic -
North_Caucasian 5.37
North_Sea 4.48
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African 0.16
West_Caucasian 2.65
West_Med 5.61


Listed in order horizontally as someone asked:
0, 7.36, 5.48, 0.56, 0, 0.56, 0.58, 0, 3.63, 0, 0.69, 16.68, 2.05, 0, 1.31, 9.35, 0, 19.24, 0, 11.57, 2.67, 0, 5.37, 4.48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.16, 2.65, 5.61


And this one Messinese:

Population
Amerindian -
Arabian 1.62
Armenian 4.70
Basque 0.08
Central_African -
Central_Euro 2.04
East_African -
East_Asian -
East_Balkan 8.25
East_Central_Asian -
East_Central_Euro -
East_Med 13.58
Eastern_Euro -
Fennoscandian -
French 0.48
Iberian 11.19
Indo-Chinese -
Italian 22.71
Malayan -
Near_Eastern 13.01
North_African 6.41
North_Atlantic 1.59
North_Caucasian -
North_Sea 0.41
Northeast_African -
Oceanian -
Omotic -
Pygmy 0.33
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 5.71
West_Med 7.89

0, 1.62, 4.70, 0.08, 0, 2.04, 0, 0, 8.25, 0, 0, 13.58, 0, 0, 0.48, 11.19, 0, 22.71, 0, 13.01, 6.41, 1.59, 0, 0.41, 0, 0, 0, 0.33, 0, 0, 0, 0, 0, 0, 5.71, 7.89

[Argentano]

Okay bruh, I think I did it for you
https://uploadfiles.io/23iao
Download that file(use WINrar or something like that), place the folder on your PC so you can easily find it, then follow these steps:

Remember that you need to replace my results in the "you" file with whatever result you want tested (make sure to only replace the numbers and name, keep the format the same).
The pop-references I used are west_german, s. Italian, Amerindian and Portuguese, but just go to the Eurogenes K15 spreadsheet and replace those results with whatever you want in the "pop" file(again,remember to keep the format identical).
Good luck son.
BTW you have to have excel for this file to work I'm pretty sure.

I managed to do it:thumb001:

https://www.theapricity.com/forum/showthread.php?227017-Ancestria-Europea-en-Argentina-dependiendo-de-rango-caucasico-y-region-de-nacimiento&p=4785110&viewfull=1#post4785110

[kleenex]

Albania_FYROM 32.85
IT_Veneto 26.40
IT_Abruzzo 12.90
Sicily_Messina 7.10
GR_Pontic 6.45
Spanish_Basque 4.40
IT_Campania 3.90
Saudi 3.65
Ukrainian_North_East 1.55
FR_Corsica 0.80
[/spolier]

Least-squares method.

Using 1 population approximation:
1 Gr_Eubea @ 9,48527
2 Greek_Peloponnes @ 9,572813
3 Greek_Macedonia @ 9,880709
4 Albania_North @ 9,927103
5 Albania_South @ 9,96251
6 Albania_FYROM @ 10,377857
7 Kosovo @ 10,71519
8 IT_Abruzzo @ 10,783124
9 Albania_Montenegro @ 11,111981
10 IT_Marche @ 11,482376
11 IT_Apulia @ 11,650402
12 IT_Lazio @ 12,037078
13 Sicily_Trapani @ 12,327992
14 IT_Tuscany @ 12,536151
15 Gr_Andros @ 12,593502
16 IT_Friuli @ 12,79159
17 Sicily_Ragusa @ 12,888207
18 GR_Thrace @ 12,889546
19 Sicily_Agrigento @ 12,923354
20 GR_Istanbul @ 13,009174
337 iterations.

Using 2 populations approximation:
1 IT_Calabria+IT_Veneto @ 7,467693
2 Gr_Chios+IT_Veneto @ 7,556095
3 IT_Apulia+IT_Veneto @ 7,721037
4 Sicily_Messina+IT_Veneto @ 7,734195
5 Gr_Kalymnos+IT_Veneto @ 7,738658
6 Sicily_Agrigento+IT_Veneto @ 7,801885
7 Sicily_Ragusa+IT_Veneto @ 7,836668
8 IT_Campania+IT_Veneto @ 7,857347
9 GR_Crete+IT_Veneto @ 7,94925
10 Greek_Macedonia+IT_Tuscany @ 7,983623
11 IT_Abruzzo+Macedonia_FYROM @ 8,003992
12 Gr_Andros+IT_Veneto @ 8,035743
13 IT_Abruzzo+IT_Veneto @ 8,071423
14 GR_Kythera+IT_Veneto @ 8,078833
15 Sicily_Trapani+IT_Veneto @ 8,095646
16 Sicily_Catania+IT_Veneto @ 8,120564
17 Sicily_Palermo+IT_Veneto @ 8,125751
18 Greek_Macedonia+IT_Lazio @ 8,176046
19 Sicily_Caltanisetta+IT_Veneto @ 8,176729
20 GR_Ikaria+IT_Veneto @ 8,191879
56953 iterations

[Ashlyn]

Central_Dutch 86.80
Swiss_German 11.85
Sweden 1.35
German_North 0.00

Unrestricted

Central_Dutch 66.60
Swiss_German 11.90
Denmark 7.20
Sweden 5.10
SE_England 2.50
German_North 1.95
Austria_Tyrol 1.80
German_West 0.35
IT_Marche 0.30
South_Germany 0.30
North_Dutch 0.30
IT_Aosta 0.25
Swiss_Italian 0.20
Spain_Baleares 0.20
FR_Bretagne 0.20
Norway_north 0.20
Albania_FYROM 0.15
Belgium 0.15
Scotland 0.10
Norway 0.10
British_mixed 0.05
Sweden_north 0.05
England_Cumberland 0.05
Samoa 0.00

[Jana]

wow nMonte is much better than gedmatch! Thanks Lukasz :thumb001:

Bosniaks 52.8
Slovenia 40.6
Croatia 1.8
PL_Masovia 1
PL_Lublin 0.8
PL_Suwlaskie 0.8
PL_South_(Malopolska) 0.8
Croats_BiH 0.4
Greater_Poland_Wielkopolska 0.4
North_Dagestan 0.4
Cimbri_Lessina 0.2
Ossetians 0.2

[Leto]

wow nMonte is much better than gedmatch!

How is it much better? It doesn't give you any admixture proportions.

[Jana]

How is it much better? It doesn't give you any admixture proportions.

Oh it does, I got tons of Oracles with that :)

But nMonte makes much more resonable fits than gedmatch which is quite outdated by now, sadly.

[Leto]

Mine:


Here is how you do it.
1. Download these files: K36 (https://ufile.io/kbkxm) and R (https://cran.r-project.org/)

2. Make a folder named EuK36 and extract all the files from the K36 file/ zip to the EuK36 folder.

3. Open the "you" document in the folder and instead of
RN97,0,0,0.73,2.52,0,7.94,0,0,3.61,0,3.58,7.26,3.4 4,8.61,6.51,10.93,0,6.97,0,0,0,11.30,0,15.65,0,0,0 ,0,0,0,3.60,0,2.86,0,1.35,3.13
as the 2nd row change the name to your name and change the numbers to your K36 results. Otherwise, alter nothing.

4. Open R ->go to File -> change dir.. -> find where on your PC you stored your EuK36 folder and select it.

5. Type in the command: source('nMonte2.R')

6. Type in the command: getMonte('pop.csv', 'you.csv')
and wait about 2-4 minutes depending on the speed of your PC, then post what you get. It sorta works like oracle, but GEDMatch has none for K36.
Can you please do my parents?

Leto_Dad:

Amerindian -
Arabian -
Armenian -
Basque 2.45
Central_African -
Central_Euro 9.85
East_African -
East_Asian -
East_Balkan 5.95
East_Central_Asian -
East_Central_Euro 24.80
East_Med -
Eastern_Euro 23.92
Fennoscandian 13.37
French 4.18
Iberian 1.72
Indo-Chinese -
Italian -
Malayan -
Near_Eastern -
North_African -
North_Atlantic 6.04
North_Caucasian -
North_Sea 4.51
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian 0.80
South_Chinese -
Volga-Ural 2.41
West_African -
West_Caucasian -
West_Med -

Leto_Mom:

Amerindian 0.58
Arabian -
Armenian 0.09
Basque 0.78
Central_African -
Central_Euro 9.60
East_African -
East_Asian -
East_Balkan 2.20
East_Central_Asian -
East_Central_Euro 17.44
East_Med -
Eastern_Euro 19.53
Fennoscandian 23.98
French 1.86
Iberian -
Indo-Chinese -
Italian -
Malayan -
Near_Eastern 2.87
North_African -
North_Atlantic 3.59
North_Caucasian 2.45
North_Sea 3.57
Northeast_African -
Oceanian -
Omotic -
Pygmy 0.12
Siberian 2.33
South_Asian -
South_Central_Asian 1.83
South_Chinese -
Volga-Ural 7.17
West_African -
West_Caucasian -
West_Med -

[Vid Flumina]

Would greatly appreciate if someone could do mine as well:

Population
Amerindian -
Arabian -
Armenian 1.70
Basque 3.09
Central_African -
Central_Euro 3.43
East_African -
East_Asian -
East_Balkan 2.84
East_Central_Asian -
East_Central_Euro 7.45
East_Med 9.74
Eastern_Euro 2.83
Fennoscandian 0.55
French 3.92
Iberian 13.01
Indo-Chinese -
Italian 14.66
Malayan -
Near_Eastern 7.41
North_African -
North_Atlantic 8.11
North_Caucasian 0.10
North_Sea 12.74
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian -
West_Med 8.39

[oszkar07]

nMonte3 oracle ( all references)


Donau_Schwaben,51.6
Nieder-Schlesien,14.6
Oberland(western_Ost_Preussen),12.6
Sachsen-Anhalt,8.2
Dutch_Gelderland,1.4
Pl_Upper_Silesia,1
Bosniaks,0.8
Tula,0.8
Croats_BIH,0.6
Dutch_Limburg,0.6
Kirov,0.6
Ukraine_Cherkassy,0.6
RU_Pskov,0.4
Saxony,0.4
Serbia,0.4
Smolensk,0.4
South_Romania,0.4



targeted nMonte3 (without Donau Schwaben

Nieder-Schlesien,16.6
Sachsen-Anhalt,16.6
Oberland(western_Ost_Preussen),14
Saxony,10.2
Austria,6.4
Hungary,3.4
Tirol,3.4
Hessen,3.2
South_Dutch,3
Baden-Württemberg,1.2
Mecklenburg-Vorpommern,1.2
Saarland,1.2
Pl_Upper_Silesia,1
Western_Serbians,1
Bosniaks,0.8
Croats_BIH,0.8
Niedersachsen,0.8
Serbia,0.8
Swiss_German,0.8
Timau_Udine,0.8
Ukraine_Poltava,0.8
Croatia,0.6

[Thracian]

It says;
Premium Access Only
The free hosting period for this file has now expired, only premium users can download it.

for both k36 and k15. Should I pay to download files?

[someonenotyou]

Would someone do mine?
Amerindian -
Arabian -
Armenian 0.51 Pct
Basque 2.51 Pct
Central_African -
Central_Euro 7.28 Pct
East_African -
East_Asian -
East_Balkan 3.35 Pct
East_Central_Asian -
East_Central_Euro 8.72 Pct
East_Med -
Eastern_Euro 8.69 Pct
Fennoscandian 8.96 Pct
French 14.64 Pct
Iberian 4.92 Pct
Indo-Chinese -
Italian 14.06 Pct
Malayan -
Near_Eastern 2.24 Pct
North_African 0.24 Pct
North_Atlantic 2.85 Pct
North_Caucasian 5.64 Pct
North_Sea 8.64 Pct
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian 2.35 Pct
South_Chinese -
Volga-Ural 0.78 Pct
West_African -
West_Caucasian 0.81 Pct
West_Med 2.81 Pct

[Jana]

Stears nMonte :)

Austria_Tyrol 35.30
Romania_SW 30.75
Lithuanian 20.45
North_Dagestan 5.85
Finnish_East 4.05
Karelian_Tver 2.15
GR_Istanbul 0.95
GR_Cyclades 0.25
Sweden 0.10
GR_Thrace 0.05
IT_Tuscany 0.05

[Maintenance]

Mine

1] "1. CLOSEST SINGLE ITEM DISTANCES"
Ashkenazi_Eastern_Euro Greek_Azov Tatar_Crimean_Coast Gagauz
16.80255 22.03416 22.10859 29.14796
Azerbaijan Kosovar Bulgarian Macedonian
29.25562 29.81552 31.76963 33.45635


Ashkenazi_Eastern_Euro 86.2
Azerbaijan 11.9
Abkhazian 1.9


Deymark

"1. CLOSEST SINGLE ITEM DISTANCES"
Croatian Carpathian Bosnian Hungarian_Slovenian
8.255689 8.835214 9.023525 9.866560
Moldavian Serbian Montenegrian Macedonian
9.969473 11.091096 13.734904 14.338410
Carpathian 51.90
Hungarian_Slovenian 16.20
Latvian 11.30
German 7.85
Kosovar 7.15
German_Volga 5.30
Finnish_SW 0.30

[Maintenance]

Updated with new version

Mine

[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Ashkenazi_Eastern_Euro Greek_Azov Tatar_Crimean_Coast Gagauz
16.80255 22.03416 22.10859 29.14796
Azerbaijan Kosovar Bulgarian Macedonian
29.25562 29.81552 31.76963 33.45635

Ashkenazi_Eastern_Euro,92.2
Azerbaijan,7.6
Abkhazian,0.2

Deymark

Carpathian,39.2
Hungarian_Slovenian,25.2
Croatian,24.6
German,2.8
Moldavian,1.8
Ukrainian_East,1.6
Kosovar,1.2
German_Volga,0.6
Polish,0.6
Belarusian_Polesye,0.4
Latvian,0.4
Russian_Meshtchyora,0.4
Russian_Voronezh,0.4
Lithuanian,0.2
Russian_Perm,0.2
Russian_Tambov,0.2
Russian_Vyatka,0.2

[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Croatian Carpathian Bosnian Hungarian_Slovenian Moldavian
8.255689 8.835214 9.023525 9.866560 9.969473
Serbian Montenegrian Macedonian
11.091096 13.734904 14.338410

[Maintenance]

Does this mean im a jew?

[Carpatz]

No idea what version this is because someone else did it for me.

Carpathian,59.2
Macedonian,18
Serbian,11.8
Gagauz,8
Kosovar,2
Ashkenazi_Eastern_Euro,0.4
Ukrainian_West,0.4
Mongol,0.2

CLOSEST SINGLE ITEM DISTANCE%"
Serbian Carpathian Macedonian Bosnian Croatian Montenegrian
8.536826 8.590390 9.871606 10.353531 10.407632 10.629384
Bulgarian Gagauz
11.429453 12.296251

[Rocinante]

sorry but i'm not interested.

Post your result, i will do it free
if you still do it, please, do mine! i would be grateful to you for years

Population
Amerindian -
Arabian -
Armenian -
Basque 4.57
Central_African -
Central_Euro 1.38
East_African 0.89
East_Asian -
East_Balkan 5.98
East_Central_Asian -
East_Central_Euro 4.03
East_Med 8.71
Eastern_Euro -
Fennoscandian 4.07
French 0.98
Iberian 22.49
Indo-Chinese -
Italian 22.52
Malayan -
Near_Eastern 4.63
North_African 4.27
North_Atlantic 1.99
North_Caucasian -
North_Sea 8.81
Northeast_African -
Oceanian -
Omotic -
Pygmy 0.42
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural 0.81
West_African -
West_Caucasian 1.16
West_Med 2.28

[Kaspias]

Can someone share new version's link?

[Rocinante]

"2. FULL TABLE nMONTE" (estimated percentages)
"distance%=0.9312"
IT_Ladinia,33.6
FR_Corsica,11
IT_Emilia-Romagna,9.6
Canarias,8.8
Sephardi_Portugal_Belmonte,4.8
Castilla,4.4
IT_Tuscany,3.4
Islas_Baleares,3.2
South_Albania,2.6
Cataluna,2
La_Rioja,2
Cantabria,1.4
IT_Aosta,1.4
IT_Lazio,1.2
Portugal,1.2
Albanians_FYROM,1
Asturias,1
Kosovo,1
Sicily_Katania,0.8
Andalusia,0.6
FR_Basque,0.6
IT_Marche,0.6
Sicily_Ragusa,0.6
GR_Andros,0.4
GR_Ipeiros,0.4
Navarra,0.4
Sicily_Messina,0.4
Spanish_Gitano,0.4
Extremadura,0.2
Moroccan_North,0.2
North_Albania,0.2
País_Vasco,0.2
TUN_Bizerta,0.2
TUN_Sfax,0.2

[Levant15]

I got these from Lukaz. How do you read the nMONTE section?

"1. CLOSEST SINGLE ITEM DISTANCE%"
Samaritan 8.395846
Lebanon_Christian 9.980696
Palestina 10.254894
Lebanon_Muslim 11.431133
Iraqi_Jew 12.641235
Syrian_Jew 14.742425
IQ_Syriac Cyprus 15.224498
Cyprus 15.427664

"2. FULL TABLE nMONTE" (estimated percentages)
"distance%=7.1555"
Samaritan,56
Lebanon_Christian,22.2
Iraqi_Jew,6.4
Druzes,1.8
Yemen_Jew,1.6
Sephardi_Turkey,1.4
Tunisian_Jew,1.4
Libyan_Jew,1.2
Algerian_Jew,1
Italian_Jew,1
Lebanon_Muslim,0.8
Cyprus,0.4
IQ_Chaldean,0.4
IQ_Mandean,0.4
Saudi_Arabia,0.4
Sephardi_Bulgaria,0.4
Syrian_Jew,0.4
AustroHungarian_Ashkenazy1,0.2
Bedouin,0.2
Georgian_Jew,0.2
GR_Central_Anatolia,0.2
GR_Chios,0.2
GR_Crete,0.2
IQ_Zhi-Qar,0.2
Latvia_Ashkenazy,0.2
Malta,0.2
Moroccan_Jew,0.2

Sent from my FRD-L04 using Tapatalk

[Lucas]

"2. FULL TABLE nMONTE" (estimated percentages)
"distance%=0.9312"
IT_Ladinia,33.6
FR_Corsica,11
IT_Emilia-Romagna,9.6
Canarias,8.8
Sephardi_Portugal_Belmonte,4.8
Castilla,4.4
IT_Tuscany,3.4
Islas_Baleares,3.2
South_Albania,2.6
Cataluna,2
La_Rioja,2
Cantabria,1.4
IT_Aosta,1.4
IT_Lazio,1.2
Portugal,1.2
Albanians_FYROM,1
Asturias,1
Kosovo,1
Sicily_Katania,0.8
Andalusia,0.6
FR_Basque,0.6
IT_Marche,0.6
Sicily_Ragusa,0.6
GR_Andros,0.4
GR_Ipeiros,0.4
Navarra,0.4
Sicily_Messina,0.4
Spanish_Gitano,0.4
Extremadura,0.2
Moroccan_North,0.2
North_Albania,0.2
País_Vasco,0.2
TUN_Bizerta,0.2
TUN_Sfax,0.2

Alejandro what is your known ancestry?

[Lucas]

I got these from Lukaz. How do you read the nMONTE section?

"1. CLOSEST SINGLE ITEM DISTANCE%"
Samaritan 8.395846
Lebanon_Christian 9.980696
Palestina 10.254894
Lebanon_Muslim 11.431133
Iraqi_Jew 12.641235
Syrian_Jew 14.742425
IQ_Syriac Cyprus 15.224498
Cyprus 15.427664

"2. FULL TABLE nMONTE" (estimated percentages)
"distance%=7.1555"
Samaritan,56
Lebanon_Christian,22.2
Iraqi_Jew,6.4
Druzes,1.8
Yemen_Jew,1.6
Sephardi_Turkey,1.4
Tunisian_Jew,1.4
Libyan_Jew,1.2
Algerian_Jew,1
Italian_Jew,1
Lebanon_Muslim,0.8
Cyprus,0.4
IQ_Chaldean,0.4
IQ_Mandean,0.4
Saudi_Arabia,0.4
Sephardi_Bulgaria,0.4
Syrian_Jew,0.4
AustroHungarian_Ashkenazy1,0.2
Bedouin,0.2
Georgian_Jew,0.2
GR_Central_Anatolia,0.2
GR_Chios,0.2
GR_Crete,0.2
IQ_Zhi-Qar,0.2
Latvia_Ashkenazy,0.2
Malta,0.2
Moroccan_Jew,0.2

Sent from my FRD-L04 using Tapatalk

First section re single distances of your genome to those populations. Lowest the higher similarity.

Second section is breakdown of your posssible ancestry, estimated by nMonte. Those are percentages, total is 100%.

[Rocinante]

Alejandro what is your known ancestry?

Hey Lukasz! My know ancestry is 1/4 Spanish Galicia, 1/4 Spanish Asturias, 1/4 Sicilian East & 1/4 Portuguese. As far as i know...

[Rocinante]

I got these from Lukaz. How do you read the nMONTE section?

"1. CLOSEST SINGLE ITEM DISTANCE%"
Samaritan 8.395846
Lebanon_Christian 9.980696
Palestina 10.254894
Lebanon_Muslim 11.431133
Iraqi_Jew 12.641235
Syrian_Jew 14.742425
IQ_Syriac Cyprus 15.224498
Cyprus 15.427664

"2. FULL TABLE nMONTE" (estimated percentages)
"distance%=7.1555"
Samaritan,56
Lebanon_Christian,22.2
Iraqi_Jew,6.4
Druzes,1.8
Yemen_Jew,1.6
Sephardi_Turkey,1.4
Tunisian_Jew,1.4
Libyan_Jew,1.2
Algerian_Jew,1
Italian_Jew,1
Lebanon_Muslim,0.8
Cyprus,0.4
IQ_Chaldean,0.4
IQ_Mandean,0.4
Saudi_Arabia,0.4
Sephardi_Bulgaria,0.4
Syrian_Jew,0.4
AustroHungarian_Ashkenazy1,0.2
Bedouin,0.2
Georgian_Jew,0.2
GR_Central_Anatolia,0.2
GR_Chios,0.2
GR_Crete,0.2
IQ_Zhi-Qar,0.2
Latvia_Ashkenazy,0.2
Malta,0.2
Moroccan_Jew,0.2

Sent from my FRD-L04 using Tapatalk

Nice results! are they accurate for you?

[Levant15]

Nice results! are they accurate for you?Yes, they're in line with other Eurogenes calculators. But I figured since there's 36 components, the distance to my closest populations will be a little farther than other Eurogenes calculators.

Sent from my FRD-L04 using Tapatalk

[Imperator Biff]

"2. FULL TABLE nMONTE" (estimated percentages)
"distance%=5.4787"
Ireland,36.2
Northern_Ireland,24.2
Scotland,21
Cumbria,7.6
Niedersachsen,2.6
NL_Drenthe,1.8
NL_Friesland,1.4
NL_Overijssel,1.2
Schleswig-Holstein,1.2
Iceland,1
Navarra,0.6
NL_Gelderland,0.4
Nordrhein-Westfalen,0.4
FR_Basque,0.2
Mecklenburg-Vorpommern,0.2

[Kaspias]

I don't have calculator files so i can't do it myself, but i got these results from Lukas.

"1. CLOSEST SINGLE ITEM DISTANCE%"

1. Pomak 12.39254
2. Balkan_Turks 13.18726
3. TR_Istanbul 14.13561
4. TR_North-West 14.21371
5. TR_South-West 14.23158
6. Crimean_Tatars_Coast 14.29541
7. Greek_Azov 14.83155
8. GR_Macedonia 15.81759

"2. FULL TABLE nMONTE" (estimated percentages)"

Pomak,51.4
TR_North-West,11
TR_South-West,4.2
Tatars_Kazan,3.8
Assyrians,2.2
GR_Vlach,2.2
Chuvashes,1.8
Druzes,1.4
Syria,1.4
TR_Central-East,1.4
TR_South,1.4
Bashkirs,1.2
Palestina,1.2
Lebanon_Christian,1
Shors,1
Tatars_Siberia,1
Crimean_Tatars_Steppe,1
Uzbek,1



nMonte3 with penalization=0 function (showing better distant/deeper admixtures)

Tatars_Kazan,26.8
GR_Andros,17
Lebanon_Christian,15.4
GR_Vlach,10.6
Tatars_Siberia,10.6
GR_Macedonia,9
Assyrians,3.2
Lori,3
GR_Thesalloniki,1.6
TR_Trabzon,1.6
Druzes,0.8
Athabaskan,0.4

[Levant15]

Anyone have a different link to the population averages text file? I can't access the one in original post

Sent from my FRD-L04 using Tapatalk

[FilhoV]

I Struggle deciphering nMonte and have no idea what it means

Mine

FULL TABLE nMONTE" (estimated percentages)
distance%=9.6105"

Asturia,41.8
Andalusia,38.6
Sephardi_Portugal_Belmonte,5.6
Canarias,1.6
Portugal,1.4
TUN_Siliana,1
ALG_Kabylie,0.8
Extremadura,0.8
TUN_Sfax,0.8
TUN_Bizerta,0.6
TUN_Sousse,0.6
ALG_North-East,0.4
German_Ashkenazy,0.4
Moroccan_Jew,0.4
Moroccan_North,0.4
Romanian_Jew,0.4
Sephardi_Bulgaria,0.4
ALG_Algier,0.2
ALG_Laghouat,0.2
ALG_North-West,0.2
East_Moroccan_Berbers,0.2
France_Ashkenazy,0.2
GR_Ikaria,0.2
Ireland,0.2
IT_Bolzano,0.2
IT_Campania,0.2
Latvia_Ashkenazy,0.2

[Gründig]

Mine

FULL TABLE nMONTE" (estimated percentages)
distance%=9.6105"

Asturia,41.8
Andalusia,38.6
Sephardi_Portugal_Belmonte,5.6
Canarias,1.6
Portugal,1.4
TUN_Siliana,1
ALG_Kabylie,0.8
Extremadura,0.8
TUN_Sfax,0.8
TUN_Bizerta,0.6
TUN_Sousse,0.6
ALG_North-East,0.4
German_Ashkenazy,0.4
Moroccan_Jew,0.4
Moroccan_North,0.4
Romanian_Jew,0.4
Sephardi_Bulgaria,0.4
ALG_Algier,0.2
ALG_Laghouat,0.2
ALG_North-West,0.2
East_Moroccan_Berbers,0.2
France_Ashkenazy,0.2
GR_Ikaria,0.2
Ireland,0.2
IT_Bolzano,0.2
IT_Campania,0.2
Latvia_Ashkenazy,0.2

Lm genetics?

[FilhoV]

Lm genetics?
Yes sir

[J. Ketch]

"1. CLOSEST SINGLE ITEM DISTANCE%"
Niedersachsen 9.350484
England_North-West 9.466924
England_South-East 9.545282
Northern_Ireland 9.688473
Dutch_Overijssel 9.920701
Dutch_Gelderland 10.011433
Scotland 10.066420
Schleswig-Holstein 10.119144

"2. FULL TABLE nMONTE" (estimated percentages)
Dutch_Drenthe,32.6
FR_Brittany,27.8
Mecklenburg-Vorpommern,20
Niedersachsen,11.8
Northern_Ireland,6.6
Hessen,0.6
Scotland,0.4
England_South-West,0.2

Admix4 oracle
Least-squares method.
Using 1 population approximation:
1 Niedersachsen @ 9,350515
2 England_North-West @ 9,466708
3 England_South-East @ 9,544835
4 Northern_Ireland @ 9,688752
5 Dutch_Overijssel @ 9,921317
6 Dutch_Gelderland @ 10,011433
7 Scotland @ 10,066563
8 Schleswig-Holstein @ 10,11924
9 Cumbria @ 10,147325
10 Wales @ 10,248225
500 iterations.

Using 2 populations approximation:
1 Dutch_Drenthe+FR_Brittany @ 6,787287
2 Schleswig-Holstein+FR_Brittany @ 7,446847
3 Niedersachsen+FR_Brittany @ 7,451785
4 Dutch_Friesland+FR_Brittany @ 7,815804
5 Dutch_Drenthe+FR_West @ 7,83673
6 Mecklenburg-Vorpommern+England_South-West @ 7,91863
7 Dutch_Drenthe+Cumbria @ 7,927115
8 Iceland+FR_Brittany @ 7,994129
9 Dutch_Drenthe+Ireland @ 8,002069
10 Mecklenburg-Vorpommern+Northern_Ireland @ 8,079955
125250 iterations.

Using 3 populations approximation:
1 50% Dutch_Drenthe +25% Mecklenburg-Vorpommern +25% FR_Brittany @ 6,612338
2 50% FR_Brittany +25% Mecklenburg-Vorpommern +25% Dutch_Drenthe @ 6,78051
3 50% Dutch_Drenthe +25% FR_Brittany +25% FR_Brittany @ 6,787287
4 50% FR_Brittany +25% Niedersachsen +25% Dutch_Drenthe @ 6,901722
5 50% Mecklenburg-Vorpommern +25% Dutch_Drenthe +25% FR_Brittany @ 6,939416
6 50% FR_Brittany +25% Schleswig-Holstein +25% Dutch_Drenthe @ 6,990474
7 50% Dutch_Drenthe +25% Scotland +25% FR_Brittany @ 7,030887
8 50% Dutch_Drenthe +25% Ireland +25% FR_Brittany @ 7,039208
9 50% Niedersachsen +25% Dutch_Drenthe +25% FR_Brittany @ 7,043309
10 50% Dutch_Drenthe +25% Cumbria +25% FR_Brittany @ 7,055833
42394293 iterations.

Using 4 populations approximation:
1 Mecklenburg-Vorpommern+Dutch_Drenthe+Dutch_Drenthe+FR_Brittany @ 6,612338
2 Mecklenburg-Vorpommern+Niedersachsen+Dutch_Drenthe+FR_Brittany @ 6,709358
3 Mecklenburg-Vorpommern+Dutch_Drenthe+Northern_Ireland+FR_Britt any @ 6,735488
4 Mecklenburg-Vorpommern+Dutch_Drenthe+FR_Brittany+FR_Brittany @ 6,78051
5 Dutch_Drenthe+Dutch_Drenthe+FR_Brittany+FR_Brittan y @ 6,787287
6 Mecklenburg-Vorpommern+Dutch_Drenthe+Scotland+FR_Brittany @ 6,796199
7 Mecklenburg-Vorpommern+Schleswig-Holstein+Dutch_Drenthe+FR_Brittany @ 6,822103
8 Mecklenburg-Vorpommern+Dutch_Drenthe+England_South-West+FR_Brittany @ 6,858599
9 Mecklenburg-Vorpommern+Dutch_Drenthe+Iceland+FR_Brittany @ 6,861114
10 Mecklenburg-Vorpommern+Dutch_Drenthe+England_South-East+FR_Brittany @ 6,876146
11 Mecklenburg-Vorpommern+Dutch_Drenthe+Cumbria+FR_Brittany @ 6,882544
12 Mecklenburg-Vorpommern+Dutch_Drenthe+England_North-West+FR_Brittany @ 6,899673
13 Niedersachsen+Dutch_Drenthe+FR_Brittany+FR_Brittan y @ 6,901722
14 Mecklenburg-Vorpommern+Dutch_Drenthe+Ireland+FR_Brittany @ 6,934853
15 Mecklenburg-Vorpommern+Dutch_Drenthe+Dutch_Gelderland+FR_Britt any @ 6,937802
16 Mecklenburg-Vorpommern+Mecklenburg-Vorpommern+Dutch_Drenthe+FR_Brittany @ 6,939416
17 Mecklenburg-Vorpommern+Dutch_Drenthe+Dutch_Overijssel+FR_Britt any @ 6,981123
18 Schleswig-Holstein+Dutch_Drenthe+FR_Brittany+FR_Brittany @ 6,990474
19 Mecklenburg-Vorpommern+Dutch_Drenthe+Dutch_Limburg+FR_Brittany @ 7,018992
20 Dutch_Drenthe+Dutch_Drenthe+Scotland+FR_Brittany @ 7,030887
593154484 iterations.

[FilhoV]

nMonte w ith penalization=0 function, rather speculative or showing deeper ancestry "distance%=9.1217"
Asturia,73.8 Romanian_Jew,7.8 TUN_Gabes,7
ALG_Kabylie,4.2 Sephardi_Portugal_Belmonte,3 Andalusia,2
La_Rioja,1 Hadza,0.8 Pl_Central,0.4
author: Lukasz Macuga - www.lm-genetics.ovh

[Gründig]

From LM Genetics

FULL TABLE nMONTE" (estimated percentages)

"distance%=0.4681" (4.681)

Bayern,35
NL_Noord-Holland,22.8
Baden-Württemberg,5.6
Swiss_German,5
FR_Swiss,3.4
Norway_Hedmark,3.2
Tirol,2.2
Norway_south-east,1.8
SV_Svealand,1.8
Norway_north,1.6
Finnish_Swede,1.2
SV_Norrland,1.2
IT_Trentino,1
Norway_central,1


Didn't post anything below 1.

[PT Tagus]

Mine:

Here is how you do it.
1. Download these files: K36 (https://ufile.io/kbkxm)

It says Premium Access Only - The free hosting period for this file has now expired, only premium users can download it.

[Sp_loa]

Can someone do it for me? I don't have windows laptop so I can't do it.

[Koolmets21]

Pen = 0.01

Robert

Italian_Veneto,30.2
Greek_Thrace,7.2
Greek_Eubea,4.8
Sicily_Caltanisetta,4.6
Portuguese,2.6
Ashkenazi_Jew_Eastern_Europe,2.2
Sicily_Messina,2.2
Sicily_Agrigento,2
Swiss_German,2
Azores,1.8
French,1.8
Sicily_Palermo,1.8
Spanish_Baleares,1.8
Askhenazi_Jew,1.6
Italian_Aosta,1.6
Sicily_Trapani,1.6
Spanish_Canarians,1.6
Spanish_Andalusia,1.2
German_South,1
Italian_Apulia,1
Spanish_average,1
English,0.8
French_NorthEast,0.8
French_NorthWest,0.8
Hungarian,0.8
Abhkasian,0.6
French_Basque,0.6
French_Brittany,0.6
Italian_Campania,0.6
Jordanian,0.6
Maltese,0.6
Polish_Kashubia,0.6
Saudi,0.6
Sicily_Catania,0.6
Spanish_Valencia,0.6
Turkish_Anatolia,0.6
Austrian,0.4
Balkar,0.4
Cypriot,0.4
Dagestan_North,0.4
French_Central,0.4
German_Volga,0.4
German_West,0.4
Greek_Andros,0.4
Greek_Pontic,0.4
Hadramut_Yemen,0.4
Iraqi_Jew,0.4
Moroccan,0.4
Sicily_Ragusa,0.4
Spanish_Basque,0.4
Spanish_Cantabria,0.4
Venezuelan,0.4
Algerian,0.2
Azeri_Dagestan,0.2
Azeri_Jew,0.2
Balochi,0.2
Bedouin,0.2
Chechen,0.2
Dutch,0.2
Egyptian,0.2
French_South,0.2
French_Southwest,0.2
Georgian_West,0.2
German_East,0.2
Greek_Azov,0.2
Greek_Chios,0.2
Greek_Crete,0.2
Greek_Cyclades,0.2
Greek_Dodecanes,0.2
Greek_Kalymnos,0.2
Iranian,0.2
Italian_Calabria,0.2
Italian_Friuli,0.2
Kabardinian,0.2
Kazakh,0.2
Kurdish,0.2
Melanesian,0.2
Norwegian,0.2
Ossetian,0.2
Polish,0.2
Polish_South_Poland,0.2
Russian_Bryansk,0.2
Scottish,0.2
Slovenian,0.2
South_African_Coloureds,0.2
Spanish_Galicia,0.2
Spanish_North,0.2
Swedish_North,0.2
Tatar_Crimea_Coast,0.2
Tunisian,0.2
Turkmen,0.2
Ukrainian_East,0.2
Welsh,0.2

Pen = 0

Robert

Spanish_Andalusia,29.2
Jordanian,20
Irish_Ulster,17.2
Greek_Thrace,11.8
Sicily_Messina,8.6
Georgian_Imereti,6.8
French_Brittany,5.4
Polish_Sudovia,1

[Videx]

CLOSEST SINGLE ITEM DISTANCE
Czechs 0.7021547
Sachsen 0.7304502
Hungary 0.7628311
Volga-German 0.7736318
Nieder-Schlesien 0.7953734
Brandenburg 0.8434862
Thüringen 0.8873914
Austria 0.8879491
Slovenia 0.8889348
Sudetenland 0.8943625

2. FULL TABLE nMONTE" (estimated percentages)
"distance%=0.5498"
Czechs,37.2
Sachsen,26.4
Slovakia,8.2
Sachsen-Anhalt,5.6
Nieder-Schlesien,5
Mecklenburg-Vorpommern,3.2
Hungary,2.4
West_Prussia,2.2
Sathmarer_Schwaben,1.4
Donau_Schwaben,1
Oberland(western_Ost_Preussen),1

[Pine]

sorry but i'm not interested.

Post your result, i will do it free


Population
Amerindian -
Arabian 6.71
Armenian 5.57
Basque 0.53
Central_African -
Central_Euro 2.49
East_African -
East_Asian -
East_Balkan 3.33
East_Central_Asian -
East_Central_Euro 0.98
East_Med 16.86
Eastern_Euro -
Fennoscandian -
French 1.97
Iberian 12.20
Indo-Chinese -
Italian 13.29
Malayan 1.50
Near_Eastern 14.40
North_African 3.04
North_Atlantic -
North_Caucasian 6.47
North_Sea 2.25
Northeast_African 0.06
Oceanian 0.33
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 4.05
West_Med 3.98

Will really appreciate it, thanks.

[HungryLion]

If somene can help, thanks in advance

K36
Population
Amerindian -
Arabian -
Armenian -
Basque -
Central_African -
Central_Euro 14.69 Pct
East_African -
East_Asian -
East_Balkan 7.14 Pct
East_Central_Asian -
East_Central_Euro 14.88 Pct
East_Med -
Eastern_Euro 9.09 Pct
Fennoscandian 9.04 Pct
French 4.09 Pct
Iberian 7.22 Pct
Indo-Chinese -
Italian 10.27 Pct
Malayan -
Near_Eastern -
North_African -
North_Atlantic 8.71 Pct
North_Caucasian 3.20 Pct
North_Sea 6.06 Pct
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian
South_Central_Asian
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian 1.02 Pct
West_Med 4.59 Pct

[someonenotyou]

If someone could do mine, I would appreciate it.

Amerindian 0.00%
Arabian 0.00%
Armenian 0.50%
Basque 2.52%
Central African 0.00%
Central Euro 7.27%
East African 0.00%
East Asian 0.00%
East Balkan 3.35%
East Central Asian 0.00%
East Central Euro 8.72%
East Med 0.00%
Eastern Euro 8.70%
Fennoscandian 8.95%
French 14.64%
Iberian 4.93%
Indo-Chinese 0.00%
Italian 14.04%
Malayan 0.00%
Near Eastern 2.23%
North African 0.25%
North Atlantic 2.86%
North Caucasian 5.65%
North Sea 8.64%
Northeast African 0.00%
Oceanian 0.00%
Omotic 0.00%
Pygmy 0.00%
Siberian 0.00%
South Asian 0.00%
South Central Asian 2.35%
South Chinese 0.00%
Volga-Ural 0.78%
West African 0.00%
West Caucasian 0.81%
West Med 2.81%

[J. Ketch]

Does anyone still have a K36 datasheet to spare?