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View Full Version : Makin a map of EEF, WHG and ANE admixtures in Europe. Please post your data.



LeBrok
08-06-14, 18:16
In order to make such maps we need a lot of data from all over the Europe. By the nature of this data collection it will be a self reporting project. It is not the best way, but it might be the only way to gather data for these maps. Please post your EEF, WHG, EEF numbers with place of birth, or place of birth of your parents if they came from different region than you were born in.

Little explanation of these admixtures:

These admixtures can roughly tell you about your origin.
WHG - West Hunter Gatherers, were the Mesolithic Europeans spread pretty much all over the Europe around 10 to 5 thousand BCE.
EEF - Early European Farmers, were the Neolithic inhabitants of Europe, the first farmers who came 10 thousand years ago from Near East and first settled in Balkans and the rest of South Europe. In next 5 thousand years they've spread to every corner of Europe.
ANE - Ancient North Eurasians, the hunter-gatherers and nomads from far East Europe and Central Asia. Latest research papers point to Indo-Europeans bringing ANE to every place in Europe.

Example:
Poland, Siedlce (country, city or region)
EEF - 45
WHG - 39
ANE - 16

One can say that I'm 39% very ancient European, 45% farmer from Near East, and 16% Indo-European. Or that I'm 55% Hunter-Gatherer and 45% Farmer.

More information:
http://eurogenes.blogspot.com.au/2013/12/ancient-human-genomes-suggest-three.html

Some data from the paper by Lazaridis:
EEF WHG ANE
0.781 0.092 0.127 -- Albanian
0.931 0 0.069 -- Ashkenazi_Jew
0.593 0.293 0.114 -- Basque
0.418 0.431 0.151 -- Belorussian
0.715 0.177 0.108 -- Bergamo
0.712 0.147 0.141 -- Bulgarian
0.561 0.293 0.145 -- Croatian
0.495 0.338 0.167 -- Czech
0.495 0.364 0.141 -- English
0.322 0.495 0.183 -- Estonian
0.554 0.311 0.135 -- French
0.675 0.195 0.13 -- French_South
0.792 0.058 0.151 -- Greek
0.558 0.264 0.179 -- Hungarian
0.394 0.456 0.15 -- Icelandic
0.364 0.464 0.172 -- Lithuanian
0.932 0 0.068 -- Maltese
0.411 0.428 0.161 -- Norwegian
0.457 0.385 0.158 -- Orcadian
0.713 0.125 0.163 -- Pais_Vasco
0.817 0.175 0.008 -- Sardinian
0.39 0.428 0.182 -- Scottish
0.903 0 0.097 -- Sicilian
0.809 0.068 0.123 -- Spanish
0.746 0.136 0.118 -- Tuscan
0.462 0.387 0.151 -- Ukrainian



Here is the explanation how you can calculate your admixtures:
http://bga101.blogspot.com.au/2013/12/eef-whg-ane-test-for-europeans.html

LeBrok
08-06-14, 18:56
Maps done by Maciamo

http://www.eupedia.com/images/content/Neolithic_farmer_admixture.png

http://cdn.eupedia.com/images/content/Ancient_North_Eurasian_admixture.png

http://cdn.eupedia.com/images/content/European_hunter-gatherer_admixture.png



I only created rough maps on data above and some guesswork. They will be updated and improved when more data comes in.

64706469

Angela
08-06-14, 18:57
I think the best place to start would be the academic data from Lazaridis et al, yes? It's on page 10 of the supplement. Of course you'd have to choose which set is most informative.
http://biorxiv.org/content/biorxiv/suppl/2013/12/23/001552.DC1/001552-1.pdf

Ed. Sorry, cross post, or is it? I'll have to check if the Eurogenes figures are lifted from the study, and if so, which he chose...

Ed. Yes, it's the individual fit column. The Finns, Mordovians and Russians couldn't be done.

Angela
08-06-14, 19:02
Interesting that at least two of the low frequency areas for ANE are non-Indo European speaking areas: Basque country, and part of Toscana.

http://www.eupedia.com/forum/threads/30117-3000-9000-Year-Old-mtDNA-from-IE-Homeland-Area-ANE?p=433488#post433488

LeBrok
08-06-14, 19:15
Interesting that at least two of the low frequency areas for ANE are non-Indo European speaking areas: Basque country, and part of Toscana.

http://www.eupedia.com/forum/threads/30117-3000-9000-Year-Old-mtDNA-from-IE-Homeland-Area-ANE?p=433488#post433488
Yes, and also interestingly the other none IE, Hungarians and Finns, are heavily ANE. Obviously other Asiatic peoples like Huns, Turks and Siberians brought more ANE with them. ANE wasn't exclusive to IE obviously.

Knovas
08-06-14, 20:57
I don't think the averages fit for Basque-like people. País Vasco possess 5% more ANE than "Basques", when everyone who's being following amateur projects knows that both samples are almost identical. So everything should be taken with caution while creating the averages.

Mine (Catalonia)



EEF
66,70916


WHG
23,20789


ANE
10,08295

Sile
08-06-14, 21:00
with these numbers

0.715 0.177 0.108 -- Bergamo
0.712 0.147 0.141 -- Bulgarian
0.675 0.195 0.13 -- French_South
0.713 0.125 0.163 -- Pais_Vasco ..................................hmm, does it mean Paese Vasconic in Italian...I know its basque area?

0.692 0.202 0.106 for me , would mean I fit in the above group, where and for what reason did you merge ANE and WHG

Nobody1
08-06-14, 21:25
The latest Academic [Lazaridis] figures from April 2014;
p.111: http://biorxiv.org/content/biorxiv/suppl/2014/04/05/001552.DC4/001552-3.pdf

EEF WHG ANE
Albanian: 78.1 / 9.2 / 12.7
Ashkenazi_Jew: 93.1 / 0 / 6.9
Basque: 59.3 / 29.3 / 11.4
Belarusian: 41.8 / 43.1 / 15.1
Bergamo: 71.5 / 17.7 / 10.8
Bulgarian: 71.2 / 14.7 / 14.1
Croatian: 56.1 / 29.3 / 14.5
Czech: 49.5 / 33.8 / 16.7
English: 49.5 / 36.4 / 14.1
Estonian: 32.2 / 49.5 / 18.3
French: 55.4 / 31.1 / 13.5
French_South: 67.5 / 19.5 / 13
Greek: 79.2 / 5.8 / 15.1
Hungarian: 55.8 / 26.4 / 17.9
Icelandic: 39.4 / 45.6 / 15
Lithuanian: 36.4 / 46.4 / 17.2
Maltese: 93.2 / 0 / 6.8
Norwegian: 41.1 / 42.8 / 16.1
Orcadian: 45.7 / 38.5 / 15.8
Sardinian: 81.7 / 17.5 / 0.8
Scottish: 39 / 42.8 / 18.2
Sicilian: 90.3 / 0 / 9.7
Spainish: 80.9 / 6.8 / 12.3
Spainish_North: 71.3 / 12.5 / 16.3
Tuscan: 74.6 / 13.6 / 11.8
Ukrainian: 46.2 / 38.7 / 15.1

The SHG (Sandinavian Hunter-gatherers) seem to be having ANE admixture as well;

Knovas
08-06-14, 21:40
I think I know what happened. Spanish_North includes Basques and Northern Spaniards. Dienekes' separated the real Basque individuals from the rest, calling this group País_Vasco. Seems like Lazaridis (aka Dienekes') forgot to change the nomenclature he was using in the Dodecad Project...LOL!

Silesian
08-06-14, 21:58
Father Poland, Silesia:


EEF 42.59
WHG 40.4124
ANE 16.99

My results German + Polish
EEF 45.15
WHG 38.67
ANE 16.17

LeBrok
08-06-14, 23:03
If anyone finds others posting their admixtures on other sites please copy them here with the link to the site. Thanks

Alan
08-06-14, 23:34
There is a version of Davidski to determine the WHG_ANE_EEF numbers for Europeans, and than there is a modified version for Near Eastern People made by the User MfA.

Here are some of the results using the Near Eastern calculator.

in %

Farmer ANE
Abhkasian 81.624 18.376
Adygei 77.277 22.723
Armenian 85.268 14.732
Assyrian 86.060 13.940
Azeri_Jewish 85.193 14.807
Balkar 76.829 23.171
Bedouin 88.518 11.482
Chechen 74.115 25.885
Cyprian 87.699 12.301
Egyptian 89.463 10.537
Georgian 81.341 18.659
Georgian_Jewish 85.408 14.592
Iranian 81.214 18.786
Jordanian 88.066 11.934
Kumyk 76.692 23.308
Kurdish 81.681 18.319
Leb_Christian 89.343 10.657
Leb_Druze 87.671 12.329
Leb_Muslim 87.091 12.909
Lezgin 73.664 26.336
North_Ossetian 76.558 23.442
Palestinian 88.460 11.540
Samaritan 89.480 10.520
Saudi 90.089 9.911
Syrian 87.186 12.814
Turkish 82.305 17.695
Yemenite_Jewish 90.991 9.009

Note: the few percentage of East African (as example in the Saudi samples) admixture get eaten up by "Farmer".

http://www.anthrogenica.com/showthread.php?1781-Post-Your-EEF-WHG-and-ANE-Admixture-Proportions




results with Davidskis Calculator

The minus infront of WHG is no tipping mistake, they do score negative for that. mostly Assyrians get weird results with this Calculator, the lack of WHG might be the reason.

Kurds

Kurd 1 = EEF: 85,5% WHG: 4,4% ANE: 10,1%
Kurd 2 = EEF 85.4% WHG 4.1% ANE 10.5%
Kurd 3 = EEF 91.1% WHG -0.2% ANE 9.2%



Assyrians

Average Assyrian = EEF 100% WHG -7.03% ANE 6.81%



Iranians

Iranian 1 = EEF 84.8% WHG 4.8% ANE 10.4%



Turks

Turk 1 = EEF 91.4% WHG -0.2% ANE 8.7%
Turk 2 = EEF 95.7% WHG -3.7% ANE 7.9%







http://www.forumbiodiversity.com/showthread.php/40732-EEF-WHG-ANE-test-for-Europeans-split-mod

Fire Haired14
08-06-14, 23:50
I don't think it is smart to make a map like how Maciamo does, but it can be useful and help learn what how each is distributed. Some Europeans also have ancestry from other populations(i.e. east Asians and Sub Saharan, Africans) and their Eurogenes K13 conversion-WHG EEF ANE scores will not be 100% accurate. The best way to get an idea how Laz's WHG, EEF, and ANE is distributed in Europe is to print out an outline map of Europe off the internet and write in the percentages with pencil or make pie charts on excel and glue them on the map.

The EEF component probably sucks in all middle eastern ancestry that does not have a Neolithic origin in Europe, so should just stand for middle eastern ancestry. Askenazi Jews score 93.1 EEF, and most of that is probably recent modern-like middle eastern ancestry. We also have to remember that Stuttgart aka EEF had some WHG ancestry. After the Laz genomes are accessible and the paper with 3,00-9,000YBP Russian genomes is published, amateurs like Dienekes and Davidski will probably make very accurate calculators for predicting ANE, WHG, middle eastern ancestry percentages in Europe.

Davidski created two Mammoth-ME-ENA-SSA admixtures (http://eurogenes.blogspot.com/2014/03/ancient-north-eurasian-ane-levels.html), where the mammoth reference is either La Brana-1 or MA1. Based on those admixtures and Laz's EEF-WHG-ANE test I think Stuttgart had ~20% WHG ancestry. If you recalculate results WHG goes way up and EEF way down. When I saw the recalculated results of Baltic people it is shocking that there are still people with so much Mesolithic ancestry, they are ~70% hunter gatherer(over 50% WHG!!) and only ~30% middle eastern.

Sile
08-06-14, 23:57
I don't think it is smart to make a map like how Maciamo does, but it can be useful and help learn what how each is distributed. Some Europeans also have ancestry from other populations(i.e. east Asians and Sub Saharan, Africans) and their Eurogenes K13 conversion-WHG EEF ANE scores will not be 100% accurate. The best way to get an idea how Laz's WHG, EEF, and ANE is distributed in Europe is to print out an outline map of Europe off the internet and write in the percentages with pencil or make pie charts on excel and glue them on the map.

The EEF component probably sucks in all middle eastern ancestry that does not have a Neolithic origin in Europe, so should just stand for middle eastern ancestry. Askenazi Jews score 93.1 EEF, and most of that is probably recent modern-like middle eastern ancestry. We also have to remember that Stuttgart aka EEF had some WHG ancestry. After the Laz genomes are accessible and the paper with 3,00-9,000YBP Russian genomes is published, amateurs like Dienekes and Davidski will probably make very accurate calculators for predicting ANE, WHG, middle eastern ancestry percentages in Europe.

Davidski created two Mammoth-ME-ENA-SSA admixtures (http://eurogenes.blogspot.com/2014/03/ancient-north-eurasian-ane-levels.html), where the mammoth reference is either La Brana-1 or MA1. Based on those admixtures and Laz's EEF-WHG-ANE test I think Stuttgart had ~20% WHG ancestry. If you recalculate results WHG goes way up and EEF way down. When I saw the recalculated results of Baltic people it is shocking that there are still people with so much Mesolithic ancestry, they are ~70% hunter gatherer(over 50% WHG!!) and only ~30% middle eastern.


if he makes a map like maciano does based on the ethnic markers known, he can then place us individuals on it to basically plot us. In this way we can at least get a trend

What are you scared of?

We do not need to place the ancient at this point in time

Fire Haired14
09-06-14, 00:15
if he makes a map like maciano does based on the ethnic markers known, he can then place us individuals on it to basically plot us. In this way we can at least get a trend

What are you scared of?

We do not need to place the ancient at this point in time


The percentages may not be totally accurate, European's ancestry may be more complicated than three stone age populations(we already know it is for some), and in no way should EEF-WHG-ANE percentages be used to discover what region of Europe someone descends from(for example Irish, Polish, and Norse score have very similar proportions).

I am scared of using a bad technique to understand the distribution of EEF, WHG, and ANE(Maciamo's maps are not very informative). The best ways in my opinion can only be done personally but if you want to show others and discuss ideas maps like Maciamo's are good.

Sile
09-06-14, 00:51
The percentages may not be totally accurate, European's ancestry may be more complicated than three stone age populations(we already know it is for some), and in no way should EEF-WHG-ANE percentages be used to discover what region of Europe someone descends from(for example Irish, Polish, and Norse score have very similar proportions).

I am scared of using a bad technique to understand the distribution of EEF, WHG, and ANE(Maciamo's maps are not very informative). The best ways in my opinion can only be done personally but if you want to show others and discuss ideas maps like Maciamo's are good.

Are you saying my numbers for myself are fabricated and that the ethnic numbers are fabricated?

if not...........then we have 2 data points we can see in Europe

Again, why not let people decide their own areas of Europe with the numbers they have....again , what are you afraid of

I seen far more bad techniques in eurogenes, dienekes, ftdna , 23andme to warrant this to not proceed

LeBrok
09-06-14, 08:06
The percentages may not be totally accurate, European's ancestry may be more complicated than three stone age populations(we already know it is for some), and in no way should EEF-WHG-ANE percentages be used to discover what region of Europe someone descends from(for example Irish, Polish, and Norse score have very similar proportions).

I am scared of using a bad technique to understand the distribution of EEF, WHG, and ANE(Maciamo's maps are not very informative). The best ways in my opinion can only be done personally but if you want to show others and discuss ideas maps like Maciamo's are good.
Statistics are never 100% accurate and never tell the story of individuals, as Sile has mentioned they can tell you the trends in populations, how people moved, what was the direction, where your autosomal ancestors came from, and in connection with archaeology and historic records what tribes contributed to your existence, possibly.
Will it make you a different person? Unlikely, but it is fun to know, or a fun to take this journey. All needed is to open your mind and embrace the journey.

LeBrok
09-06-14, 08:52
Harvested at: http://bga101.blogspot.ca/2013/12/eef-whg-ane-test-for-europeans.html


Gui S (http://www.blogger.com/profile/10460980441040040539) said...I am getting
EEF = 62.5%
WHG = 25.6%
ANE = 11.8%

Almost equal to the "Southern French"



Samuli Pahalahti (http://www.blogger.com/profile/00647125520510426355) said...Results:
EEF: 32,49
WHG: 48,08
ANE: 19,42

Ancestry: Finnish.



About Time (http://www.blogger.com/profile/09236048173229545609) said...Awesome. Thanks, all.

EEF 42.88566032
WHG 40.69272823
ANE 16.42161145

5/8 Irish
1/4 German+Polish (Pomeranian)
1/8 Misc. Anglo-American



Solothurn (http://www.blogger.com/profile/12633099718602545909) said...British with all known recent British ancestry :)

46.82% EEF
37.84% WHG
15.35% ANE



Wulf Talented (http://www.blogger.com/profile/09646182351101842344) said...1/8th Polish rest is English.

Results
EEF 47.14084739
WHG 37.31034369
ANE 15.54880892



Volodymyr Lutsyk (http://www.blogger.com/profile/12096015411407190665) said...West Ukrainian Boyko Highlander:
Results
EEF 56.19615948
WHG 30.02961359
ANE 13.77422694

(LeBrok:Boiko (refer to Suabi thread) is 56% EEF! Is it from Cucuteni Farmers Culture?)



Fanty (http://www.blogger.com/profile/07969348276219179258) said...EEF: 50,13553163
WHG: 35,05970286
ANE: 14,80476551

German of mixed backround. Northwest Germans mixed with refugees from the lost eastern parts of the German Empire. One of the refugee grandparents (from Kaliningrad/Königsberg in East Prussia



António Vitor (http://www.blogger.com/profile/13624328081981029335) said...Southern Portuguese (me):
Early European farmer: 70,794981369
Western hunter gatherer: 19,6804103377
Ancient North Eurasian: 9,5246082933.



Black Taylor (http://www.blogger.com/profile/12608950569578025238) said...3/4 British, 1/4 Flemish

EFF: 47.60
WHG: 37.16
ANE: 15.25

Using Oracle for K13 I'm closest to Southeast English at 3.18 and West Scottish at 3.20.



Black Taylor (http://www.blogger.com/profile/12608950569578025238) said...My 100% Czech wife, all four grandparents from around Prague

EEF: 47.09
WHG: 37.34
ANE: 15.84



Anna Lindén (http://www.blogger.com/profile/14151029464746377306) said...EEF 36.0823882374
WHG 46.0219392222
ANE 17.8956725404

My ancestors are Swedish (75 %) and Forest-Finnish (25 %).
December 29, 2013 at 10:19 AM (http://bga101.blogspot.com/2013/12/eef-whg-ane-test-for-europeans.html?showComment=1388341196033#c53504946 12715225672)


Oaie Porc (http://www.blogger.com/profile/09398185729471688425) said...1/2 Northern Carpathians (Hutsul), 1/2 Central Moldavian Plateau (Moldavian):

EEF 57.82%
WHG 28.41%
ANE 13.75%

(Hutsul (suabi thread) 58% EEF, Cucuteni?! Did old farmers had hid in Karpatian mountains from Indo-European invasion?)



PF (http://www.blogger.com/profile/13780789381709373839) said...EEF 88.38918418
WHG 4.47946179
ANE 7.131354031

Ashkenazi



Erik (http://www.blogger.com/profile/12657712141887525239) said...I went back and ran I see where I went wrong last time this is my results

EEF 47.56158
WHG 37.10323
ANE 15.3352



Unknown (http://www.blogger.com/profile/15166937193707813426) said...Here are my results:
EEF 38%
WHG 44%
ANE 18%

I'm 3/4 Russian from the Urals and 1/4 Western Ukrainian.



steven perkins (http://www.blogger.com/profile/03578164804219522899) said...I am 90% British Isles; and then German, French, Norwegian, Swedish and Forest Finn.

My results:
EEF 46.8213013121
WHG 37.8627939274
ANE 15.3159047605



Seth Reeder (http://www.blogger.com/profile/11921093954290829672) said...I scored the following:

51.42894% Early European Farmer
34.30316% West European Hunter Gatherer
14.26789% Ancient North Eurasian

My ancestral background is primarily British Islander (over 75%, mostly recent immigrants - as recent as 1923 and as far back as 1848 - others were colonial).



Unknown (http://www.blogger.com/profile/15166937193707813426) said...My brother-in-law (Russian, Volga-Ural) has an even higher EEF - 40.5% (WHG 42%, ANE 18%). His Siberian is 8.6%. I'm also curious how this component might skew our results.



Richard Rocca (http://www.blogger.com/profile/10137962922951473003) said...My wife is of 100% Polish ancestry by way of her 4 grandparents. Her paternal grandfather is from Zalesie, Podlasie, Poland near the Lithuanian/Belarussian border. He was I2a1b-M423 like the Loschbour hunter-gatherer. Below are are my wife's results which are very close to Davidski:

EEF 41.83587054
WHG 40.99387637
ANE 17.17025309


About Time (http://www.blogger.com/profile/09236048173229545609) said...In case someone wants to make a more detailed heat maps, I applied the WHG-EEF-ANE calc to the Eurogenes K13 populations. Would be fascinating with more granularity IMO.

Pop,WHG,EEF,ANE
South_Italian,0.02733,0.90550,0.06717
Sardinian,0.05557,0.90525,0.03918
Greek,0.08685,0.82841,0.08474
Tuscan,0.12640,0.78777,0.08583
North_Italian,0.17197,0.73381,0.09423
Chechen,0.13404,0.73139,0.13457
Lezgin,0.13627,0.72615,0.13757
Spanish_Andalucia,0.20085,0.70404,0.09511
Spanish_Extremadura,0.20311,0.69920,0.09769
Spanish_Murcia,0.21164,0.68912,0.09925
Bulgarian,0.19977,0.68587,0.11435
Spanish_Castilla_La_Mancha,0.21693,0.68418,0.09889
Portuguese,0.21736,0.68081,0.10183
Spanish_Valencia,0.22323,0.67622,0.10054
Spanish_Castilla_Y_Leon,0.22239,0.67581,0.10180
Spanish_Aragon,0.22730,0.67387,0.09884
Spanish_Galicia,0.22498,0.67187,0.10315
Romanian,0.22201,0.65802,0.11997
Spanish_Cataluna,0.23698,0.65656,0.10647
Spanish_Cantabria,0.24027,0.65603,0.10370
Southwest_French,0.25886,0.63356,0.10758
French_Basque,0.27279,0.62376,0.10346
Serbian,0.25320,0.61953,0.12727
French,0.28147,0.59372,0.12480
Austrian,0.31981,0.53578,0.14442
Hungarian,0.32590,0.52727,0.14683
German,0.35565,0.49339,0.15097
Southwest_English,0.36933,0.48122,0.14946
Southeast_English,0.36943,0.48017,0.15040
Dutch,0.37876,0.46572,0.15552
Ukrainian_West,0.37385,0.46453,0.16162
Polish,0.38262,0.45401,0.16337
Irish,0.38833,0.45375,0.15792
Orcadian,0.38929,0.45359,0.15712
West_Scottish,0.38972,0.45278,0.15750
Danish,0.38950,0.45224,0.15826
Ukrainian,0.38544,0.45055,0.16401
Ukrainian_Northeast,0.39470,0.43308,0.17222
Russian,0.40348,0.42597,0.17055
Swedish,0.41548,0.41670,0.16781
Norwegian,0.41911,0.41332,0.16757
Belorussian,0.42288,0.40154,0.17558
North_Swedish,0.43926,0.38537,0.17537
Erzya,0.43259,0.38330,0.18411
Chuvash,0.43540,0.37423,0.19038
Kargopol_Russian,0.44396,0.37230,0.18373
Southwest_Finnish,0.45930,0.35855,0.18215
Lithuanian,0.45655,0.35809,0.18536
Estonian,0.47345,0.33852,0.18803
Finnish,0.47345,0.33744,0.18911
East_Finnish,0.48124,0.32711,0.19164



About Time (http://www.blogger.com/profile/09236048173229545609) said...Good catch wrt Pais Vasco. Paper shows (Extended Data Table 3):

Pais Vasco 0.163 ANE (Full modeling)
Spanish 0.123 ANE (Full modeling)
French 0.135 ANE (Full modeling)

but reverses in second part of table:

Pais Vasco 0.136 +/- 0.053 ANE (minimal assumptions)
Spanish 0.165 +/- .057 ANE (minimal assumptions)
French 0.142 +/- .046 ANE (minimal assumptions)

So hard to say much. But if Pais Vasco has more ANE than Spain, that's very interesting.

Similar ambiguity looking at Greek, Bulgarian, and Albanian ANE numbers in the same tables, by the way.



Christy from Canada (http://www.blogger.com/profile/01745290344535200763) said...My results. My ethnicity Scottish/English/Irish. Although my father's Y-DNA was N. Admix results show significant Mediterranean, Baltic amounts as well
EEF 47.97800627
WHG 36.91984567
ANE 15.10214806



Locrian (http://www.blogger.com/profile/09676956502408423600) said...EEF -- 49.72917
WHG -- 35.49097
ANE -- 14.77986

English — no surprises here at all. Very much in line with other respondents.


Hermann-Josef Winter (http://www.blogger.com/profile/04032883980928579978) said...EEF -- 51,33647
WHG -- 34,12553
ANE -- 14,53798

German - paternal ancestry is fuzzy.



P.Lett (http://www.blogger.com/profile/05632161028468135454) said...My father (Czech republic)
EEF 50.2653
WHG 34.6251
ANE 15.1096

My mother (Czech republic)
EEF 46.7602
WHG 37.1868
ANE 16.053

My wife (Ukraina, Russia (West Siberia), Poland )
EEF 40.429
WHG 42.0483
ANE 17.5227



CPfromEngland (http://www.blogger.com/profile/09760326056071082325) said...EEF 49.36
WHG 35.68
ANE 14.94

I'm Englis



Helgenes50 (http://www.blogger.com/profile/10048641344885582425) [email protected]

My Ancestry is 100 % Normand
and we have the same results

EEF 52,40
WHG 33,72
ANE 13,87



CatchingAllTheSouls (http://www.blogger.com/profile/10694834570633657041) said...What do you think of mine? I am primarily of English descent:

EEF 50.79075511
WHG 34.91653284
ANE 14.29271205



EK (http://www.blogger.com/profile/08352594067012529407) said...Ancestry: 3/4 Russian, 1/4 AJ

EEF 52.72%
WHG 32.35%
ANE 14.93%



Suvi-Tuuli Allan (http://www.blogger.com/profile/12777023803944977959) said...I'm a Finn from Central Ostrobothnia, Western Finland. My ancestry is mostly from that very same area.

EEF: 35,0642348634
WHG: 46,4532070431
ANE: 18,4825580934



Guy Jacks (http://www.blogger.com/profile/14437356912665933225) said...Ethnicity: Ashkenazi Jewish

Rounded to results:

EEF: 88%
WHG: 5%
ANE: 7%

LeBrok
09-06-14, 09:07
The SHG (Sandinavian Hunter-gatherers) seem to be having ANE admixture as well;
Is the Norwegian SHG admixture contained in ANE or is it the 4th admixture showing as separate reading but in small amounts?

Fire Haired14
09-06-14, 09:23
Is the Norwegian SHG admixture contained in ANE or is it the 4th admixture showing as separate reading but in small amounts?

It is pretty clear that the Scandinavian hunter gatherers specifically had minority ANE ancestry, there is plenty of evidence. The mtDNA of the Scandinavian and Russian hunter gatherers is very similar, the PWC and Karelian hunter gatherers shared nearly 40% of the exact same mtDNA haplotypes. There was some type of genetic connection between eastern Europe and Scandinavia during the Mesolithic.

Nobody1
09-06-14, 09:31
Is the Norwegian SHG admixture contained in ANE or is it the 4th admixture showing as separate reading but in small amounts?

That i dont know;
I just obtained that info from p.10:
http://biorxiv.org/content/biorxiv/early/2013/12/23/001552.full.pdf
Loschbour and Stuttgart had little or no ANE ancestry, indicating that it was not as pervasive in central Europe around the time of the agricultural transition as it is today. (By implication ANE ancestry was also not present in the ancient Near East; since Stuttgart which has substantial Near Eastern ancestry lacks it.) However, ANE ancestry was already present in at least some Europeans (Scandinavian hunter-gatherers) by ~8,000 years ago, since MA1 shares more alleles with Motala12 than Loschbour: f4 (Motala12; Loschbour; MA1, Mbuti) = 0.003 (Z=5.2 standard errors from zero) (SI12). While SHG may have contributed ANE ancestry to modern Europeans, it cannot have been the only population that did so, as no European population has its lower f3-statistic with it in Table 1, and few populations fit a model of EEF-SHG admixture (SI12)

And i seriously hope who ever will make this map he/she is not taking the Internet-Blog figures (Eurogense) too seriously especially not in comparison to the actual academic data from the study itself; reasons should be obvious;

PaschalisB
09-06-14, 11:17
My results (north Greek ancestry)

EEF 78.86229108
WHG 11.7409539
ANE 9.396755024

polako
09-06-14, 13:21
And i seriously hope who ever will make this map he/she is not taking the Internet-Blog figures (Eurogense) too seriously especially not in comparison to the actual academic data from the study itself; reasons should be obvious;

What, you've never actually seen any academic studies with obviously bogus results? I can show you several if you're really interested.

Your constant whining and efforts to appeal to authority are getting tiresome. Try using that noodle of yours for a change.

Of course, the best thing to do would be to make two maps, one based on the latest Lazaridis et al. figures and another on this updated Eurogenes K13 averages sheet:

https://docs.google.com/file/d/0B9o3EYTdM8lQY2c2RW5hUlNvNzg/edit

Then we can see how they correlate with each other and which one makes more sense.

Nobody1
09-06-14, 15:41
What, you've never actually seen any academic studies with obviously bogus results? I can show you several if you're really interested.

Your constant whining and efforts to appeal to authority are getting tiresome. Try using that noodle of yours for a change.

Of course, the best thing to do would be to make two maps, one based on the latest Lazaridis et al. figures and another on this updated Eurogenes K13 averages sheet:

https://docs.google.com/file/d/0B9o3EYTdM8lQY2c2RW5hUlNvNzg/edit

Then we can see how they correlate with each other and which one makes more sense.

If it gets too tiresome just quit;
And obviously you seriously think that the "data" you and your expert Blog create are on par with data from academic sources and proper institutions; funny or sad;

LeBrok
09-06-14, 15:44
Of course, the best thing to do would be to make two maps, one based on the latest Lazaridis et al. figures and another on this updated Eurogenes K13 averages sheet:

https://docs.google.com/file/d/0B9o3EYTdM8lQY2c2RW5hUlNvNzg/edit

Then we can see how they correlate with each other and which one makes more sense.
Thanks for the latest numbers.

Luan
09-06-14, 16:17
Gedmatch is not working, so I cant get my k13 result.

Angela
09-06-14, 16:29
I would second the idea that the population averages provided in Lazaridis et al should not be mixed with the data from the use of Eurogenes K=13 to create a unified map. The reasons, as was stated above, should be obvious. In addition, many of these figures are from people of mixed ancestry; while it may be fun to look at and compare such figures, their usefulness for telling us anything about the peopling of Europe is obviously very limited.

I don't agree with the criticism that maps indicating the prevalence of these three components by area are somehow not important because some minority ancestry isn't mapped. The point of this kind of analysis is to try to understand the peopling of Europe, and, so far, these are the major gene flows which have been identified as having given birth to modern Europeans.

I also think it might be a good idea if some caution was exercised in identifying the ANE figure as some indication of actual "Indo-European" ancestry, as we don't yet know (although we soon will) what percentage of the people in Samara were ANE at what period in time, and what percentage was in the people migrating into eastern Europe proper/the Balkans, Central Europe, Southern Europe etc. with their new language, if that is indeed what happened, as some of this ANE was already in Scandinavia, and certainly wasn't Indo-European, and we don't know if that contributed to the ANE in modern Scandinavians and perhaps Eastern Europeans and beyond. Also, as Le Brok mentioned, Hun, Magyar etc. invasions will also have contributed some ANE, and they weren't Indo-Europeans either. I think it has to be kept in mind that the people bringing the Indo-European languages to Europe and Asia Minor will have had varying degrees of the ANE component in them depending on the time period, along with unknown quantities of the other two components of the Lazaridis et al model.

Also, while I find even the provisional maps provided very interesting, I think we might want to keep in mind that this is a fast moving field because of the improved techniques for working with ancient dna and the development of new statistical models by some very talented people in the field. All of that means that there might be surprises in store. I personally am very interested in seeing what the autosomal results from Mesolithic, and, if we're lucky, Paleolithic samples from the Balkans will show; if we have another "native" European hunter-gatherer component, that will re-arrange all the calculations. I'm not saying that will happen, I'm just saying nothing would surprise me at this point.

Oh, there was a comment made upthread about EEF "sucking in all Middle Eastern" ancestry that isn't Neolithic in origin. I'm not aware of any major movement of "Near or Middle Eastern" people into Europe post the Neolithic, with the possible exception of some part of the Etruscans from Anatolia in the the first millennium BC, should that ever be proven. If the poster was thinking of any possible effect from the Muslim domination of the early Medieval period of parts of southern Europe, those people were mostly North Africans, and their effect, either because of a male dominance model, or because of subsequent expulsions, has been rather exaggerated, in my opinion.

I also think it should be clear by now that labeling EEF "Middle Eastern" or even "Near Eastern" is ludicrous if one means by that the modern people of that area, as it is based on an obviously incorrect proposition, i.e. that while Europe was subject to admixture from various sources, the Near East or Middle East remained static throughout its history. That's obviously not the case, as I've been saying for about five years now. It was nice to get some confirmation of that from the recent study on mtDNA in PPN samples, in addition to the studies showing increasing influence from the south in terms of yDNA, and the ANE data that has shown up per Lazaridis et al.

(In the case of the Etruscans, if they did come from Anatolia, given the late date it would seem to me that they would have probably brought some ANE as well. In that context, I would point out that the Tuscans have more ANE than either the northern Italians or the southern Italians. I would also point out that the EEF numbers for the Tuscans fit right within the Italian cline, indicating probably the slightly lesser effect of any Central European migrations on that area.)

Fire Haired14
09-06-14, 23:05
Angela, Ashkenazi Jews have a high amount of non-Neolithic European middle eastern ancestry and scored over 90% EEF in Laz, so yes EEF can absorb other types middle eastern ancestry. I really don't have time to get into this but you need to know it is a horrible mistake to assume all middle eastern ancestry in Europe arrived with farming. A great and simple example of post-Neolithic middle eastern gene flow into Europe is Y DNA R1b1a2a-L23, which probably arrived in Europe from west Asia well after the first farmers did.

LeBrok
10-06-14, 01:58
Gedmatch is not working, so I cant get my k13 result.
That's a bummer.
Does anyone know if other websites run K13 calculator?

Angela
10-06-14, 02:54
Angela, Ashkenazi Jews have a high amount of non-Neolithic European middle eastern ancestry and scored over 90% EEF in Laz, so yes EEF can absorb other types middle eastern ancestry. I really don't have time to get into this but you need to know it is a horrible mistake to assume all middle eastern ancestry in Europe arrived with farming. A great and simple example of post-Neolithic middle eastern gene flow into Europe is Y DNA R1b1a2a-L23, which probably arrived in Europe from west Asia well after the first farmers did.


It's very important when discussing these topics to be precise in one's language. EEF is not synonymous with Middle Eastern. The EEF population no longer exists in pure form in the Middle East because Middle Eastern people have experienced gene flows since the Neolithic just as have Europeans. Indeed, it may never have existed in the Middle East because it is possible these farmers who came from the Middle East 8-9,000 years ago may have picked up some hunter gatherer ancestry in the Balkans. Alternatively, we may discover that a component similar to EEF existed in the Balkans already in the Mesolithic. We don't yet know these things and we shouldn't pretend that we do.

In addition, the fact that some areas in Europe are higher in terms of their percentage of EEF than others can be very well explained by the fact that southern Europe, for instance, may have had a much smaller population of hunter gatherers when the farmers arrived, or the hunter gatherers may have fled to the north and particularly the north east in large numbers, where for a few thousand years the farmers could not follow them because the initial Neolithic package was not adapted to that terrain or climate. In addition, you have the Indo-European migrations, with their unknown amounts of ANE and WHE, which many seem to believe affected the northern and central areas of Europe more than the southern areas. We then have the gene flow correlated with the movements of the Germanic tribes south following the fall of Rome, which again falls into a north/south cline.

Most importantly, as I said, I know of NO documented movement of peoples from the Middle East into Europe in the Copper or Bronze Age or Iron Age. In the case of Italy, those movements for northern Italy were from central Europe, and some for the south were from Greece and the Balkans, with the possible exception of the Etruscans. As for the Muslim Kingdoms of Spain and Sicily and southern Italy, (and also a stretch of southern France) they were predominantly North African Berbers. We should know the difference.

There are far too many opinions expressed on these topics which have no factual or scientific support. It's not helpful.

In that regard, I am sure we'd all be thrilled to get some definitive proof as to the origin of R1b L-23 and as to the direction and timing of gene flow from that point. So far as I know, it doesn't exist.

Oh, and as for the Ashkenazim, I'm dubious about using such a unique population to make general points about the peopling of Europe. Regardless, they came to Europe with their EEF ancestry; it has nothing to do with any post Neolithic gene flows into Europe, so their data is irrelevant for that discussion.

LeBrok
10-06-14, 03:31
It's very important when discussing these topics to be precise in one's language. EEF is not synonymous with Middle Eastern. The EEF population no longer exists in pure form in the Middle East because Middle Eastern people have experienced gene flows since the Neolithic just as have Europeans. Indeed, it may never have existed in the Middle East because it is possible these farmers who came from the Middle East 8-9,000 years ago may have picked up some hunter gatherer ancestry in the Balkans. Exactly. Anyone looking to decipher his/her ancestry to the last decimal point is very mistaken that it will ever happen. Europe could have had 2 or 3 waves of farmers through Neolithic, all 3 distinctive genetically, and we don't know yet how fast they started mingling with locals. I'm more interested to put these maps together to see general trends, waves and population movements. I'm sure when we'll get enough regional data, better resolution, we can find interesting nuggets, and find or solve few mysteries.
Other than that it already amazes me how well mixed, uniform people are with admixtures in same region. Variations between people with these 3 admixtures are so minute that even one person per region (with sure local ancestry) will be identical to 90% of other locals, and good enough for the map. Preferably I would love to see 2-3 per region to be sure of data. It will depend how many people will participate and if we can get the k13 calculator working.

Fire Haired14
10-06-14, 04:03
It's very important when discussing these topics to be precise in one's language. EEF is not synonymous with Middle Eastern. The EEF population no longer exists in pure form in the Middle East because Middle Eastern people have experienced gene flows since the Neolithic just as have Europeans. Indeed, it may never have existed in the Middle East because it is possible these farmers who came from the Middle East 8-9,000 years ago may have picked up some hunter gatherer ancestry in the Balkans. Alternatively, we may discover that a component similar to EEF existed in the Balkans already in the Mesolithic. We don't yet know these things and we shouldn't pretend that we do.

In addition, the fact that some areas in Europe are higher in terms of their percentage of EEF than others can be very well explained by the fact that southern Europe, for instance, may have had a much smaller population of hunter gatherers when the farmers arrived, or the hunter gatherers may have fled to the north and particularly the north east in large numbers, where for a few thousand years the farmers could not follow them because the initial Neolithic package was not adapted to that terrain or climate. In addition, you have the Indo-European migrations, with their unknown amounts of ANE and WHE, which many seem to believe affected the northern and central areas of Europe more than the southern areas. We then have the gene flow correlated with the movements of the Germanic tribes south following the fall of Rome, which again falls into a north/south cline.

Most importantly, as I said, I know of NO documented movement of peoples from the Middle East into Europe in the Copper or Bronze Age or Iron Age. In the case of Italy, those movements for northern Italy were from central Europe, and some for the south were from Greece and the Balkans, with the possible exception of the Etruscans. As for the Muslim Kingdoms of Spain and Sicily and southern Italy, (and also a stretch of southern France) they were predominantly North African Berbers. We should know the difference.

There are far too many opinions expressed on these topics which have no factual or scientific support. It's not helpful.

We are talking about pre historic times(no written documents), so finding evidence for migrations is probably very difficult for the experts. Many inventions like Copper existed in Europe and west Asia so there was contact between the two regions. You can't ignore the possibilities of trade and admixing through the Mediterranean sea, it doesn't have to be giant cultures migrating from one place to another. Just because there is no archaeological evidence for it doesn't mean we should ignore the idea.

North Africans also mainly decend from the same middle eastern source as did early European farmers and modern west Asians, so north African ancestry in a European population will make them appear to be more west Asian. When I say middle east, I mean west Asia and north Africa.

In that regard, I am sure we'd all be thrilled to get some definitive proof as to the origin of R1b L-23 and as to the direction and timing of gene flow from that point. So far as I know, it doesn't exist.

Oh, and as for the Ashkenazim, I'm dubious about using such a unique population to make general points about the peopling of Europe. Regardless, they came to Europe with their EEF ancestry; it has nothing to do with any post Neolithic gene flows into Europe, so their data is irrelevant for that discussion.[/QUOTE]

Angela we are expressing the same view in differnt ways. I agree modern middle easterns are not the same as Stuttgart, but both descend mainly from the same source, which is why Ashkenazi Jews score so much in EEF. Stuttgart had some WHG ancestry and modern middle easterns can have ANE, Sub Saharan, east Asian, or south Asian ancestry.


In that regard, I am sure we'd all be thrilled to get some definitive proof as to the origin of R1b L-23 and as to the direction and timing of gene flow from that point. So far as I know, it doesn't exist.

Don't worry it is safe to assume R1b1a2a L23 came to Europe from west Asia. Evidence in autosomal DNA is the Gedorsia component of K12b which correlates with R1b in Europe.

In Europe about 100% of R1b is either R1b1a2a1a L11(estimated to 5,000 years old) or R1b1a2a L23*(L51-), so not very diverse. In west Asia the majority of R1b is R1b1a2a L23*(L51-), but you also have R1b*(P297-, V88-) in Iran, R1b1b M335 in Anatolia, R1b1a2 M269(L23-), and so on. There are also basal R lineages in west Asia; R1*(R1a-, R1b-), R*(R2-, R1-), R1a1-SRY10831.2*(R1a1a M198-). I am trying to show you that Y DNA R and it's descendant R1b have incredible diversity in west Asia, and that R1b probably originated in west Asia.

R1b1a2a L23 must have been the first R1b in Europe and the Germanic-Italo-Celtic branch R1b1a2a1a L11 was born only around 5,000 years ago and spread during the bronze age. It is impossible to accurately say when R1b1a2a L23 first arrived in Europe because there has not been much study on east European R1b. It is safe to assume the LBK and Cardiel farmers lacked R1b, but I guess some east European Neolithic farmers could have had some R1b. The west Asians who brought R1b1a2a L23 to Europe were probably pretty differnt from Stuttgart(largely because of their lack of WHG ancestry and ANE ancestry) and represent another type of middle eastern ancestry for Europeans.

Sile
10-06-14, 09:06
Angela we are expressing the same view in differnt ways. I agree modern middle easterns are not the same as Stuttgart, but both descend mainly from the same source, which is why Ashkenazi Jews score so much in EEF. Stuttgart had some WHG ancestry and modern middle easterns can have ANE, Sub Saharan, east Asian, or south Asian ancestry.



Don't worry it is safe to assume R1b1a2a L23 came to Europe from west Asia. Evidence in autosomal DNA is the Gedorsia component of K12b which correlates with R1b in Europe.

In Europe about 100% of R1b is either R1b1a2a1a L11(estimated to 5,000 years old) or R1b1a2a L23*(L51-), so not very diverse. In west Asia the majority of R1b is R1b1a2a L23*(L51-), but you also have R1b*(P297-, V88-) in Iran, R1b1b M335 in Anatolia, R1b1a2 M269(L23-), and so on. There are also basal R lineages in west Asia; R1*(R1a-, R1b-), R*(R2-, R1-), R1a1-SRY10831.2*(R1a1a M198-). I am trying to show you that Y DNA R and it's descendant R1b have incredible diversity in west Asia, and that R1b probably originated in west Asia.

R1b1a2a L23 must have been the first R1b in Europe and the Germanic-Italo-Celtic branch R1b1a2a1a L11 was born only around 5,000 years ago and spread during the bronze age. It is impossible to accurately say when R1b1a2a L23 first arrived in Europe because there has not been much study on east European R1b. It is safe to assume the LBK and Cardiel farmers lacked R1b, but I guess some east European Neolithic farmers could have had some R1b. The west Asians who brought R1b1a2a L23 to Europe were probably pretty differnt from Stuttgart(largely because of their lack of WHG ancestry and ANE ancestry) and represent another type of middle eastern ancestry for Europeans.

I do not know why you are preventing people from ............as the title states ....PLEASE POST YOUR DATA
clearly you can see its not about the ancients

Alan
10-06-14, 09:09
Angela, Ashkenazi Jews have a high amount of non-Neolithic European middle eastern ancestry and scored over 90% EEF in Laz, so yes EEF can absorb other types middle eastern ancestry. I really don't have time to get into this but you need to know it is a horrible mistake to assume all middle eastern ancestry in Europe arrived with farming. A great and simple example of post-Neolithic middle eastern gene flow into Europe is Y DNA R1b1a2a-L23, which probably arrived in Europe from west Asia well after the first farmers did.

There is actually not much different "Middle Eastern ancestry" than a "Red Sea" component which is a synthesis of farmer with Sub Saharan African admixture, and therefore these get sucked in by EEF. Usually this component is between ~10-40% in most Semite and ~5% in non Semite Middle Easterners. "These other Middle Eastern ancestry" which you speak of is nothing more than Farmer + ANE which merged to "West Asian".

And considering that most Ashkenazi Jews have 16% North Euro and 22% Caucasus_Gedrosia, I highly doubt that there EEF could go beyond 90%

If you want to find out the real farmer ancestry in modern Middle Eastern or European people, simply remove a quarter from the total percentage of Red Sea and the more recent African genes from the total farmer numbers, there you have the real farmer percentage.

"farmer" - (RedSea/4 + Sub Saharan African)= Real farmer ancestry.

In case of Saudis this would be 90% - (35/4% + 0%) = 81% farmer

So Saudis are 81% farmer + 9% Sub Saharan African and 10% ANE

Here are the numbers for RedSea
https://docs.google.com/spreadsheet/ccc?key=0ArAJcY18g2GadC1kRjhxcHNfSGhPYlUxbEI0VVZPR 0E#gid=0


And here are the "farmer" percentages with additional SSA admixture.
Farmer ANE
Abhkasian 81.624 18.376
Adygei 77.277 22.723
Armenian 85.268 14.732
Assyrian 86.060 13.940
Azeri_Jewish 85.193 14.807
Balkar 76.829 23.171
Bedouin 88.518 11.482
Chechen 74.115 25.885
Cyprian 87.699 12.301
Egyptian 89.463 10.537
Georgian 81.341 18.659
Georgian_Jewish 85.408 14.592
Iranian 81.214 18.786
Jordanian 88.066 11.934
Kumyk 76.692 23.308
Kurdish 81.681 18.319
Leb_Christian 89.343 10.657
Leb_Druze 87.671 12.329
Leb_Muslim 87.091 12.909
Lezgin 73.664 26.336
North_Ossetian 76.558 23.442
Palestinian 88.460 11.540
Samaritan 89.480 10.520
Saudi 90.089 9.911
Syrian 87.186 12.814
Turkish 82.305 17.695
Yemenite_Jewish 90.991 9.009


Now Just extract the African from the total "farmer" and you will have the real ancient farmer component.
Going by this sheme the best proxy for ancient farmers in the Near East would be the Cyprians with 86%.

Wilhelm
10-06-14, 13:49
You guys don't get it..the study of Lazaridis makes it very clear that Middle-Easterns or Jews/Maltese/Sicilians cannot be explained as a three-way admixture of EEF/WHG/ANE like the rest of Europeans do, because they have a 4th layer of admixture outside of the range of european variation... hence why their results should not be taken in account (90% of EEF in Jews is wrecked result, not real). If they were really 90% EEF woulnd't jews cluster close to Sardinians and/or have a similar genome ?? Well no, far from it.

Angela
10-06-14, 14:47
There is actually not much different "Middle Eastern ancestry" than a "Red Sea" component which is a synthesis of farmer with Sub Saharan African admixture, and therefore these get sucked in by EEF. Usually this component is between ~10-40% in most Semite and ~5% in non Semite Middle Easterners. "These other Middle Eastern ancestry" which you speak of is nothing more than Farmer + ANE which merged to "West Asian".

And considering that most Ashkenazi Jews have 16% North Euro and 22% Caucasus_Gedrosia, I highly doubt that there EEF could go beyond 90%

If you want to find out the real farmer ancestry in modern Middle Eastern or European people, simply remove a quarter from the total percentage of Red Sea and the more recent African genes from the total farmer numbers, there you have the real farmer percentage.

"farmer" - (RedSea/4 + Sub Saharan African)= Real farmer ancestry.

In case of Saudis this would be 90% - (35/4% + 0%) = 81% farmer

So Saudis are 81% farmer + 9% Sub Saharan African and 10% ANE

Here are the numbers for RedSea
https://docs.google.com/spreadsheet/ccc?key=0ArAJcY18g2GadC1kRjhxcHNfSGhPYlUxbEI0VVZPR 0E#gid=0


And here are the "farmer" percentages with additional SSA admixture.
Farmer ANE
Abhkasian 81.624 18.376
Adygei 77.277 22.723
Armenian 85.268 14.732
Assyrian 86.060 13.940
Azeri_Jewish 85.193 14.807
Balkar 76.829 23.171
Bedouin 88.518 11.482
Chechen 74.115 25.885
Cyprian 87.699 12.301
Egyptian 89.463 10.537
Georgian 81.341 18.659
Georgian_Jewish 85.408 14.592
Iranian 81.214 18.786
Jordanian 88.066 11.934
Kumyk 76.692 23.308
Kurdish 81.681 18.319
Leb_Christian 89.343 10.657
Leb_Druze 87.671 12.329
Leb_Muslim 87.091 12.909
Lezgin 73.664 26.336
North_Ossetian 76.558 23.442
Palestinian 88.460 11.540
Samaritan 89.480 10.520
Saudi 90.089 9.911
Syrian 87.186 12.814
Turkish 82.305 17.695
Yemenite_Jewish 90.991 9.009


Now Just extract the African from the total "farmer" and you will have the real ancient farmer component.
Going by this sheme the best proxy for ancient farmers in the Near East would be the Cyprians with 86%.

Alan, I don't know how you square this with the comments in Lazaridis et al that Middle Easterners, Sicilians/Maltese and the Finns can't be modeled in this way.

Ed. Oh, or the Ashkenazim

Alan
10-06-14, 15:22
You guys don't get it..the study of Lazaridis makes it very clear that Middle-Easterns or Jews/Maltese/Sicilians cannot be explained as a three-way admixture of EEF/WHG/ANE like the rest of Europeans do, because they have a 4th layer of admixture outside of the range of european variation... hence why their results should not be taken in account (90% of EEF in Jews is wrecked result, not real). If they were really 90% EEF woulnd't jews cluster close to Sardinians and/or have a similar genome ?? Well no, far from it.

Read my post above .

1. Sardinians are the "best" what you could get in closeness to European farmers.
2. Sardinians are at least around 30% WHG admixed. While Levantines are between 5-10% Sub Saharan African admixed.
3. We were talking about the original Farmer component which would have been something between Sardinians and Levantines. Less WHG admixed than Sardinians and less SSA admixed than Levantines.

Alan
10-06-14, 15:25
Alan, I don't know how you square this with the comments in Lazaridis et al that Middle Easterners, Sicilians/Maltese and the Finns can't be modeled in this way.

Ed. Oh, or the Ashkenazim


True I was mostly fixated on Middle Easterners and South Europeans since the argument was that some of the non farmer Middle Eastern genes get sucked in by "farmer". So I wanted to shows that in the Near East if any of the genes which could get sucked in exist, than it would be the additional Sub Saharan African admixture in some modern Near Eastern populations.

And obviously my idea was not to find out the EEF in Near Easterners but the proto farmer component. And in that case it looks like Cyprians match best. And if I am not wrong wasn't there just recently a study which said that farmers spread through Cyprus?

Fire Haired14
10-06-14, 22:26
You guys don't get it..the study of Lazaridis makes it very clear that Middle-Easterns or Jews/Maltese/Sicilians cannot be explained as a three-way admixture of EEF/WHG/ANE like the rest of Europeans do, because they have a 4th layer of admixture outside of the range of european variation... hence why their results should not be taken in account (90% of EEF in Jews is wrecked result, not real). If they were really 90% EEF woulnd't jews cluster close to Sardinians and/or have a similar genome ?? Well no, far from it.

Greeks and Italians are not over 70% EEF, some of it is post-Neolithic middle eastern ancestry. Just because Greeks live in "Europe" does not mean all of their middle eastern ancestry is of the same source as middle eastern ancestry for the first farmers in Germany(LBK culture).

Salbrox
10-06-14, 23:31
Should be easy enough, just looks at the affinities of WHG, ANE and EEF from their respective introductionary papers (Raghavan 2013, Lazaridis 2014 updates)

Stuttgart is pure EEF and Loschbour is pure WHG. EEF peaks in Sardinia and WHG peaks in Northeast Europe. Stuttgart joins all Sardinian individuals in cluster A and Loschbour joins a cluster B that encompasses all Belarusian, Ukrainian, Mordovian, Russian, Estonian, Finnish, and Lithuanian individuals. These results confirm Sardinia as a refuge area where ancestry related to Early European Farmers has been best preserved, and also the greater persistence of WHG-related ancestry in present-day Eastern European populations. (Lazaridis 2014)

I think adding Northern and Eastern Poland to this is OK. They are not in Lazaridis paper, but are not very different from Ukrainians and Belarusians.

Northeast Europeans are also the least Stuttgart-shifted in comparison to Loschbour and MA-1, so they have lowest EEF ancestry. Also in Lazaridis paper.

MA-1 is pure ANE. European ANE peaks in countries with population most similar to MA-1, these would be Baltic countries, Finland and Northern Russia (Raghavan 2013).

After Sardinians EEF is highest in wherever is shown the most Middle Eastern/Mediterranean. West and Central Europeans are intermediate in all three.

Angela
11-06-14, 00:46
Greeks and Italians are not over 70% EEF, some of it is post-Neolithic middle eastern ancestry. Just because Greeks live in "Europe" does not mean all of their middle eastern ancestry is of the same source as middle eastern ancestry for the first farmers in Germany(LBK culture).

Once again, the data from the updated Lazaridis et al paper as per Nobody One's post:

EEF/WHG/ANE-Also known as Stuttgart/Loschbour/Mal'ta

Bergamo 71.5/17.7/10.8
Toscana 74.6/13.6/11.8
Sicilia 90.3/0/9.7

N.Spain: 71.3/12.5/16.3
Spain: 80.9/5.8/12.3

Greek mainland: 79.2/5.8/15.1
Bulgaria: 71.2/14.7/14.1

Luan
11-06-14, 22:53
Gedmatch is working now.

Albanian from Kosova.



EEF
74.94463


WHG
15.44501


ANE
9.610351

polako
15-06-14, 07:27
That's a bummer.
Does anyone know if other websites run K13 calculator?

Why don't you just use the K13 population averages by turning them into WHG/ANE/EEF ratios?


If it gets too tiresome just quit;
And obviously you seriously think that the "data" you and your expert Blog create are on par with data from academic sources and proper institutions; funny or sad;

You seem extremely butthurt about something, so any discussion based on logic is pointless.

But yes, the Eurogenes EEF/WHG/ANE scores do make more sense than those from the paper in some ways, like the fact that they show lower ANE among Basques. This actually agrees better with the modelling in the paper, where Basques are one of the few European populations that can be modelled as a two way mixture of EEF and WHG, with 0% ANE.

How did you not notice this? Nevermind, that was a rhetorical question.

Nobody1
15-06-14, 07:56
You seem extremely butthurt about something, so any discussion based on logic is pointless.

But yes, the Eurogenes EEF/WHG/ANE scores do make more sense than those from the paper in some ways, like the fact that they show lower ANE among Basques. This actually agrees better with the modelling in the paper, where Basques are one of the few European populations that can be modelled as a two way mixture of EEF and WHG, with 0% ANE.

How did you not notice this? Nevermind, that was a rhetorical question.

Well it is not about what makes more sense to you and whatever iffy data your blog than creates; It is about what is more credible i.e. data from academic studies/institutions or data from issy hobby blogs (like Eurogense); Thats all;

But i dont even actually mind the data you produce at your Hobby Blog for it is as harmless as it is worthless im just reminding you to pull your head out of your ass and acknowledge a little bit of reality i.e. the diff. between academic and hobby blog and if you dont get that difference....sad, funny, pathetic you pick the attribute;

PS: if one usually disagrees with academic data one usually just voices their opinion and refer to other academic studies; One does not go off and create an own blog and produce ones own "fitting" data; and worst of all trying to pass that iss of as on par with academia; But your obviously special in that regard;

Wilhelm
15-06-14, 13:14
Well it is not about what makes more sense to you and whatever iffy data your blog than creates; It is about what is more credible i.e. data from academic studies/institutions or data from issy hobby blogs (like Eurogense); Thats all;

But i dont even actually mind the data you produce at your Hobby Blog for it is as harmless as it is worthless im just reminding you to pull your head out of your ass and acknowledge a little bit of reality i.e. the diff. between academic and hobby blog and if you dont get that difference....sad, funny, pathetic you pick the attribute;

PS: if one usually disagrees with academic data one usually just voices their opinion and refer to other academic studies; One does not go off and create an own blog and produce ones own "fitting" data; and worst of all trying to pass that iss of as on par with academia; But your obviously special in that regard;
There is plenty of bullshit studies out there also...I wouldn't understimate those genetic blogs, they produce better stuff than many studies.

John Doe
15-06-14, 14:06
Ethnicity: Ashkenazi Jewish
K13:
Admix Results (sorted):


# Population Percent
1 East_Med 33.95
2 North_Atlantic 21.11
3 West_Med 19.23
4 West_Asian 13.53
5 Baltic 5.45
6 Red_Sea 4.46
7 Northeast_African 0.86
8 East_Asian 0.86
9 Oceanian 0.33
10 Sub-Saharan 0.22

Closest K13 DNA match:

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 55.1% Lebanese_Druze + 44.9% Spanish_Valencia @ 2.25


EEF-WHG-ANE results (rounded to full numbers):

EEF 88
WHG 5
ANE 7




Any interpretation will be welcomed.

Fire Haired14
15-06-14, 17:27
Well it is not about what makes more sense to you and whatever iffy data your blog than creates; It is about what is more credible i.e. data from academic studies/institutions or data from issy hobby blogs (like Eurogense); Thats all;

But i dont even actually mind the data you produce at your Hobby Blog for it is as harmless as it is worthless im just reminding you to pull your head out of your ass and acknowledge a little bit of reality i.e. the diff. between academic and hobby blog and if you dont get that difference....sad, funny, pathetic you pick the attribute;

PS: if one usually disagrees with academic data one usually just voices their opinion and refer to other academic studies; One does not go off and create an own blog and produce ones own "fitting" data; and worst of all trying to pass that iss of as on par with academia; But your obviously special in that regard;

Polako is more legit than you think, and how is anyone on this forum at the level to judge his blogs credibility.

Nobody1
15-06-14, 18:46
Polako is more legit than you think, and how is anyone on this forum at the level to judge his blogs credibility.

Absolutely; For he is a real expert and a very special mind;

But ultimately one only knows what a BS academic study is by reading other academic studies and not by smothering in whatever a blogger and his expert blog squeezes out; But to each his own FireHaired;

PS: everyone is on the level to judge the credibility (or lack of) amateur hobby blogs even you;

Angela
15-06-14, 19:32
I don't want to get in the middle of another fight, but just on general principles, I don't personally place much faith in any results where the exact samples and the precise methodology used to generate the results are not provided in precise detail. That's why papers have such a long methodology section, even if most hobbyists either skip it or don't understand the math or the programs used. It's there so that people with the necessary skills can run the analysis themselves to see if the stated results can be verified, or if they have been "tweeked" to reflect the biases of the authors.

This is the case whether the analysis is by a "blogger" or an academic. That's over and above any specific, personal knowledge one might have of questionable practices engaged in not only by bloggers but by academic authors occasionally as well.

Fire Haired14
15-06-14, 20:13
Absolutely; For he is a real expert and a very special mind;

But ultimately one only knows what a BS academic study is by reading other academic studies and not by smothering in whatever a blogger and his expert blog squeezes out; But to each his own FireHaired;

PS: everyone is on the level to judge the credibility (or lack of) amateur hobby blogs even you;

Many theories which today are mainstream Polako believed in when they were not backed up by academic papers. He is looking at real modern and ancient people's DNA, making real tests, has experience, etc. He doesn't claim to be the hurting yourself because papers about a single subject don't come out oftenly, and they are restricted from coming up with new ideas. A blog like Polako's allows constant exchange of ideas, constant experimentation, and is less restricted than the academic world but probably isn't much less equipped.

Nobody1
15-06-14, 22:40
Many theories which today are mainstream Polako believed in when they were not backed up by academic papers. He is looking at real modern and ancient people's DNA, making real tests, has experience, etc. He doesn't claim to be the hurting yourself because papers about a single subject don't come out oftenly, and they are restricted from coming up with new ideas. A blog like Polako's allows constant exchange of ideas, constant experimentation, and is less restricted than the academic world but probably isn't much less equipped.

No its complete shizz;

Maciamo
17-06-14, 13:35
I have been busy lately, but managed time to make a map of the EEF.

http://www.eupedia.com/images/content/Neolithic_farmer_admixture.png


It would be nice to have some data for North Africa (besides Egypt) and Kazakhstan.


There is some conflicting data between the Lazaridis paper and the Eurogenes data based on the K13 admixtures. For example Lazaridis found that the Spaniards and the Basques had respectively 80% and 71% of EEF, while Eurogenes has 66-69% and 59%. Another odd difference is for Sardinians who have respectively 81% and 90%.

Percentages for other regions seem much more similar in the two sets of data though (e.g. Orcadians are both at 45%, Belarussians are at 40% vs 42%, Estonains at 32% vs 33%, Tuscans at 75% vs 78%, Hungarians 56% vs 52%, etc.).

I had to split some countries in two regions when the data was borderline between Lazaridis and Eurogenes. For example Bulgaria has values of 71% and 68%, Greece 79% and 82%, Scotland 39% and 45%...


I had to extrapolate a bit for some regions based on other data (Dodecad, Y-DNA).

There was no data for Montenegro or Macedonia, so I used to the same average as for Albania, Kosovo and southern Bulgaria.

In the Volga region, I assumed that the Tatars had more Neolithic farmer ancestry than their Chuvash and Mordvin neighbours, because they have considerably higher Near Eastern Y-DNA and Dodecad admixture.

In Scandinavia, individual data showed less than 40% of EEF in northern Sweden. Since the mountainous border between Norway and Sweden has substantial levels of mixed Saami-Scandinavian ancestry, it makes more sense if that region is more similar to northern Sweden.

I am not going to explain my reasoning for every single region, but nothing is arbitrary.

gyms
17-06-14, 17:26
The "calculator business" is a mess!

John Doe
17-06-14, 17:59
No its complete shizz;


Are 23andme or Geno 2.0 credible?

LeBrok
17-06-14, 18:04
I have been busy lately, but managed time to make a map of the EEF.




It would be nice to have some data for North Africa (besides Egypt) and Kazakhstan.

There is some conflicting data about Spain (67-69% or 80% ?) and the Basques (59% or 71% ?). I had to extrapolate a bit for some regions based on other data (Dodecad, Y-DNA).
Looks great. I was going to buy decent drawing/graphics program to make nice maps. At the moment I have only Windows 7 Paint to use, good only for something crud like in post #2.

Angela
17-06-14, 18:23
I have been busy lately, but managed time to make a map of the EEF.

http://www.eupedia.com/images/content/Neolithic_farmer_admixture.png


It would be nice to have some data for North Africa (besides Egypt) and Kazakhstan.

There is some conflicting data about Spain (67-69% or 80% ?) and the Basques (59% or 71% ?). I had to extrapolate a bit for some regions based on other data (Dodecad, Y-DNA).

I may be reading the map incorrectly because I am slightly color blind, but the colors don't seem to correspond to the peer reviewed, published academic data from Lazaridis et al.

If the academic data isn't used then perhaps, since it will undoubtedly be picked up by the internet, it might be a good idea to provide information on it stating that it is based on a blogger's data and not that from an academic paper.

Fire Haired14
17-06-14, 22:16
I have been busy lately, but managed time to make a map of the EEF.

http://www.eupedia.com/images/content/Neolithic_farmer_admixture.png


It would be nice to have some data for North Africa (besides Egypt) and Kazakhstan.

There is some conflicting data about Spain (67-69% or 80% ?) and the Basques (59% or 71% ?). I had to extrapolate a bit for some regions based on other data (Dodecad, Y-DNA).

It is a very nice looking map, but I think people on this forum should make their own personal maps with written down percentages. Much of this is pure guessing, and people need to understand EEF absorbs related forms of middle eastern ancestry and is about 20% WHG.

Maciamo
18-06-14, 09:19
Please check again my post with the map above. I have explained in more details how I made the map. I have also modified a bit the hues for Iberia using averages of Lazaridis et al. and Eurogenes.

Semitic Duwa
22-06-14, 03:09
EEF-WHG-ANE results (rounded to full numbers):

EEF 88
WHG 5
ANE 7




Any interpretation will be welcomed.


This calculator is obsolete for West Asians (such as N. Caucasians, Druze or Cypriots) and the Jewish, Eastern Mediterranean and Iberian (non-Basque) scores are quite off as well.

MfA, at anthrogenica, optimised the excel file, the results are more in line with those the authors obtained (you can compare with the paper's extended data file).

You can download it here:

https://docs.google.com/spreadsheet/ccc?key=0Aqr2nbGXpVFndEZxZHF1OVNJOEtrcVpyLXVmd1Qze EE&usp=sharing#gid=0

John Doe
22-06-14, 13:31
This calculator is obsolete for West Asians (such as N. Caucasians, Druze or Cypriots) and the Jewish, Eastern Mediterranean and Iberian (non-Basque) scores are quite off as well.

MfA, at anthrogenica, optimised the excel file, the results are more in line with those the authors obtained (you can compare with the paper's extended data file).

You can download it here:

https://docs.google.com/spreadsheet/ccc?key=0Aqr2nbGXpVFndEZxZHF1OVNJOEtrcVpyLXVmd1Qze EE&usp=sharing#gid=0


Alright, here are my results from that:

Results (rounded):
Near East 84
ANE 16

Semitic Duwa
22-06-14, 15:08
Alright, here are my results from that:

Results (rounded):
Near East 84
ANE 16

Pretty much in line with other Ashkenazi results, it's always around ~85% Near East & ~15% ANE.

John Doe
22-06-14, 15:27
Pretty much in line with other Ashkenazi results, it's always around ~85% Near East & ~15% ANE.

Okay thanks, can you please answer my 2 questions on the thread "The Jewish people, where are they from?".

Semitic Duwa
22-06-14, 17:04
Okay thanks, can you please answer my 2 questions on the thread "The Jewish people, where are they from?".

I'll do that ASAP, unfortunately I'm a busy man.

John Doe
22-06-14, 17:12
I'll do that ASAP, unfortunately I'm a busy man.


Thanks, I understand. :)

Grubbe
23-06-14, 12:14
My result, all Norwegian back to the middle of the 17. century, when I connect to a few Danes, Finns, Germans and Dutch:
EEF: 42,57355725
WHG: 40,99924797
ANE: 16,42719478

Grubbe
23-06-14, 18:23
My father's result:


EEF
41,18706


WHG
42,03763


ANE
16,77531



My maternal uncle's result:


EEF
43,9539


WHG
39,98378


ANE
16,06232

John Doe
29-06-14, 15:10
What does the ANE represent? Does it represent the PIE admixture of West Eurasians?

Angela
29-06-14, 15:50
What does the ANE represent? Does it represent the PIE admixture of West Eurasians?

If the PIE urheimat is in the Samara Culture of the Volga, then we should soon know the proportion of ANE in them because the Reich group is working on a paper about them.

http://en.wikipedia.org/wiki/Samara_culture

https://mcidublin.conference-services.net/reports/template/onetextabstract.xml?xsl=template/onetextabstract.xsl&conferenceID=3958&abstractID=814052

Genotyping of 390,000 SNPs in more than forty 3,000-9,000 year old humans from the ancient Russian steppe
David Reich 1 ,2, Nadin Rohland1 ,2, Swapan Mallick1 ,2, Iosif Lazaridis1, Eadaoin Harney1, Susanne Nordenfelt1, Qiaomei Fu3, Matthias Meyer3, Dorcas Brown4, David Anthony4, Nick Patterson2
1Harvard Medical School, Boston, MA, USA, 2Broad Institute of Harvard and MIT, Cambridge, MA, USA, 3Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 4Hartwick College, Oneonta, NY, USA
A central challenge in ancient DNA research is that for many bones that contain genuine DNA, the great majority of molecules in sequencing libraries are microbial. Thus, it has been impractical to carry out whole genome analyses of substantial numbers of ancient individuals. We report a strategy for in-solution capture of ancient DNA from approximately 390,000 single nucleotide polymorphism (SNP) targets, adapting a method of Fu et al. PNAS 2013 who enriched a 40,000 year old DNA sample for the entire chromosome 21. Of the SNPs targets, the vast majority overlap the Affymetrix Human Origins array, allowing us to compare the ancient samples to a database of more than 2,700 present-day humans from 250 groups.
We applied the SNP capture as well as mitochondrial genome enrichment to a series of 65 bones dating to between 3,000-9,000 years ago from the Samara district of Russia in the far east of Europe, a region that has been suggested to be part of the Proto-Indo-European homeland. We successfully extracted nuclear data from 10-90% of targeted SNPs for more than 40 of the samples, and for all of these samples also obtained complete mitochondrial genomes. We report three key findings:


Samples from the Samara region possess Ancient North Eurasian (ANE) admixture related to a recently published 24,000 year old Upper Paleolithic Siberian genome. This contrasts with both European agriculturalists and with European hunter-gatherers from Luxembourg and Iberia who had little such ancestry (Lazaridis et al. arXiv.org 2013). This suggests that European steppe groups may have been be implicated in the dispersal of ANE ancestry across Europe where it is currently pervasive.
The mtDNA composition of the steppe population is primarily West Eurasian, in contrast with northwest Russian samples of this period (Der Sarkissian et al. PLoS Genetics 2013) where an East Eurasian presence is evident.
Samara experienced major population turnovers over time: early samples (>6000 years) belong primarily to mtDNA haplogroups U4 and U5, typical of European hunter-gatherers but later ones include haplogroups W, H, T, I, K, J.

We report modeling analyses showing how the steppe samples may relate to ancient and present-day DNA samples from the rest of Europe, the Caucasus, and South Asia, thereby clarifying the relationship of steppe groups to the genetic, archaeological and linguistic transformations of the late Neolithic and Bronze ages.

LeBrok
29-06-14, 17:02
If the PIE urheimat is in the Samara Culture of the Volga, then we should soon know the proportion of ANE in them because the Reich group is working on a paper about them.

http://en.wikipedia.org/wiki/Samara_culture

https://mcidublin.conference-services.net/reports/template/onetextabstract.xml?xsl=template/onetextabstract.xsl&conferenceID=3958&abstractID=814052

Genotyping of 390,000 SNPs in more than forty 3,000-9,000 year old humans from the ancient Russian steppe
David Reich 1 ,2, Nadin Rohland1 ,2, Swapan Mallick1 ,2, Iosif Lazaridis1, Eadaoin Harney1, Susanne Nordenfelt1, Qiaomei Fu3, Matthias Meyer3, Dorcas Brown4, David Anthony4, Nick Patterson2
1Harvard Medical School, Boston, MA, USA, 2Broad Institute of Harvard and MIT, Cambridge, MA, USA, 3Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 4Hartwick College, Oneonta, NY, USA
A central challenge in ancient DNA research is that for many bones that contain genuine DNA, the great majority of molecules in sequencing libraries are microbial. Thus, it has been impractical to carry out whole genome analyses of substantial numbers of ancient individuals. We report a strategy for in-solution capture of ancient DNA from approximately 390,000 single nucleotide polymorphism (SNP) targets, adapting a method of Fu et al. PNAS 2013 who enriched a 40,000 year old DNA sample for the entire chromosome 21. Of the SNPs targets, the vast majority overlap the Affymetrix Human Origins array, allowing us to compare the ancient samples to a database of more than 2,700 present-day humans from 250 groups.
We applied the SNP capture as well as mitochondrial genome enrichment to a series of 65 bones dating to between 3,000-9,000 years ago from the Samara district of Russia in the far east of Europe, a region that has been suggested to be part of the Proto-Indo-European homeland. We successfully extracted nuclear data from 10-90% of targeted SNPs for more than 40 of the samples, and for all of these samples also obtained complete mitochondrial genomes. We report three key findings:


Samples from the Samara region possess Ancient North Eurasian (ANE) admixture related to a recently published 24,000 year old Upper Paleolithic Siberian genome. This contrasts with both European agriculturalists and with European hunter-gatherers from Luxembourg and Iberia who had little such ancestry (Lazaridis et al. arXiv.org 2013). This suggests that European steppe groups may have been be implicated in the dispersal of ANE ancestry across Europe where it is currently pervasive.
The mtDNA composition of the steppe population is primarily West Eurasian, in contrast with northwest Russian samples of this period (Der Sarkissian et al. PLoS Genetics 2013) where an East Eurasian presence is evident.
Samara experienced major population turnovers over time: early samples (>6000 years) belong primarily to mtDNA haplogroups U4 and U5, typical of European hunter-gatherers but later ones include haplogroups W, H, T, I, K, J.

We report modeling analyses showing how the steppe samples may relate to ancient and present-day DNA samples from the rest of Europe, the Caucasus, and South Asia, thereby clarifying the relationship of steppe groups to the genetic, archaeological and linguistic transformations of the late Neolithic and Bronze ages.

I'm expecting samples from Samara to be >90% ANE when they come from around 6,000 years ago. Mixing with farmers would bring it down to 75-50% around 4,000 years ago. In these proportions they've entered Europe as IE. Will see soon.

John Doe
29-06-14, 19:51
If the PIE urheimat is in the Samara Culture of the Volga, then we should soon know the proportion of ANE in them because the Reich group is working on a paper about them.

http://en.wikipedia.org/wiki/Samara_culture

https://mcidublin.conference-services.net/reports/template/onetextabstract.xml?xsl=template/onetextabstract.xsl&conferenceID=3958&abstractID=814052

Genotyping of 390,000 SNPs in more than forty 3,000-9,000 year old humans from the ancient Russian steppe
David Reich 1 ,2, Nadin Rohland1 ,2, Swapan Mallick1 ,2, Iosif Lazaridis1, Eadaoin Harney1, Susanne Nordenfelt1, Qiaomei Fu3, Matthias Meyer3, Dorcas Brown4, David Anthony4, Nick Patterson2
1Harvard Medical School, Boston, MA, USA, 2Broad Institute of Harvard and MIT, Cambridge, MA, USA, 3Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 4Hartwick College, Oneonta, NY, USA
A central challenge in ancient DNA research is that for many bones that contain genuine DNA, the great majority of molecules in sequencing libraries are microbial. Thus, it has been impractical to carry out whole genome analyses of substantial numbers of ancient individuals. We report a strategy for in-solution capture of ancient DNA from approximately 390,000 single nucleotide polymorphism (SNP) targets, adapting a method of Fu et al. PNAS 2013 who enriched a 40,000 year old DNA sample for the entire chromosome 21. Of the SNPs targets, the vast majority overlap the Affymetrix Human Origins array, allowing us to compare the ancient samples to a database of more than 2,700 present-day humans from 250 groups.
We applied the SNP capture as well as mitochondrial genome enrichment to a series of 65 bones dating to between 3,000-9,000 years ago from the Samara district of Russia in the far east of Europe, a region that has been suggested to be part of the Proto-Indo-European homeland. We successfully extracted nuclear data from 10-90% of targeted SNPs for more than 40 of the samples, and for all of these samples also obtained complete mitochondrial genomes. We report three key findings:


Samples from the Samara region possess Ancient North Eurasian (ANE) admixture related to a recently published 24,000 year old Upper Paleolithic Siberian genome. This contrasts with both European agriculturalists and with European hunter-gatherers from Luxembourg and Iberia who had little such ancestry (Lazaridis et al. arXiv.org 2013). This suggests that European steppe groups may have been be implicated in the dispersal of ANE ancestry across Europe where it is currently pervasive.
The mtDNA composition of the steppe population is primarily West Eurasian, in contrast with northwest Russian samples of this period (Der Sarkissian et al. PLoS Genetics 2013) where an East Eurasian presence is evident.
Samara experienced major population turnovers over time: early samples (>6000 years) belong primarily to mtDNA haplogroups U4 and U5, typical of European hunter-gatherers but later ones include haplogroups W, H, T, I, K, J.

We report modeling analyses showing how the steppe samples may relate to ancient and present-day DNA samples from the rest of Europe, the Caucasus, and South Asia, thereby clarifying the relationship of steppe groups to the genetic, archaeological and linguistic transformations of the late Neolithic and Bronze ages.


So does this mean the 16% ANE I get from the calculator come from a PIE/Ural source?

Angela
30-06-14, 17:52
So does this mean the 16% ANE I get from the calculator come from a PIE/Ural source?


I'm already on record that I don't trust the "calculator" results very much, since they conflict with the Lazaridis et al results, for some groups substantially so, and have wide confidence margins, but I suppose you could take it as a rough estimate of your ANE contribution.

When the results from the Samara people come in, we'll know much more, but I personally think the ANE is probably a signature of the movement of steppe peoples into Europe. It might also be partly a signature of hunter gatherers from the far north east, since a bit of ANE shows up in those people as well.

Ed. For Ashkenazim, it's a different calculation. People in the Near East have ANE too, and so do South Asians, but I don't think we yet know when it arrived, or with whom. Perhaps some of it came with IE people, but perhaps some of it came before. I'm afraid we still have a lot to learn.

John Doe
30-06-14, 19:18
I'm already on record that I don't trust the "calculator" results very much, since they conflict with the Lazaridis et al results, for some groups substantially so, and have wide confidence margins, but I suppose you could take it as a rough estimate of your ANE contribution.

When the results from the Samara people come in, we'll know much more, but I personally think the ANE is probably a signature of the movement of steppe peoples into Europe. It might also be partly a signature of hunter gatherers from the far north east, since a bit of ANE shows up in those people as well.

Ed. For Ashkenazim, it's a different calculation. People in the Near East have ANE too, and so do South Asians, but I don't think we yet know when it arrived, or with whom. Perhaps some of it came with IE people, but perhaps some of it came before. I'm afraid we still have a lot to learn.

I suppose you're right, until we'll know for certain, I guess it remains uncertain why East Mediterraneans have around 15% ANE.

Aberdeen
30-06-14, 19:46
I suppose you're right, until we'll know for certain, I guess it remains uncertain why East Mediterraneans have around 15% ANE.

The ANE in modern Middle Eastern people could be partly Turkish in origin, but that wouldn't show up in members of the Jewish diaspora who left the Middle East before the coming of the Turks.

John Doe
30-06-14, 20:11
The ANE in modern Middle Eastern people could be partly Turkish in origin, but that wouldn't show up in members of the Jewish diaspora who left the Middle East before the coming of the Turks.

Since Jews are a pre Islamic East Mediterranean group it's unlikely that their ANE admixture came from the Turks who invaded Western Asia about 1,000 years after the destruction of the temple. Therefore this ANE admixture probably came from somewhere else, but I guess this puzzle is yet to be solved.

Alan
01-07-14, 04:38
The ANE in modern Middle Eastern people could be partly Turkish in origin, but that wouldn't show up in members of the Jewish diaspora who left the Middle East before the coming of the Turks.


ANE is present in all of Western and South Asia. It is more of an Indo_European or Proto_Caucasic signature. An evidence for this is that ANE reaches it's higest frequency among Iranic and Caucasic groups of Western Asia.

ANE reaches levels of 25% in North Caucasus.

Angela
01-07-14, 17:12
ANE is present in all of Western and South Asia. It is more of an Indo_European or Proto_Caucasic signature. An evidence for this is that ANE reaches it's higest frequency among Iranic and Caucasic groups of Western Asia.

ANE reaches levels of 25% in North Caucasus.

ANE is present in small quantities in far northeastern European hunter gatherers much earlier than the possible formation of any IE groups in the Pontic Caspian steppe. Isn't it possible that likewise there was some gene flow from ANE people into some areas of the Near East and South Asia before the later movement into these areas of Indo-European speaking peoples?

Fire Haired14
01-07-14, 19:00
I'm expecting samples from Samara to be >90% ANE when they come from around 6,000 years ago. Mixing with farmers would bring it down to 75-50% around 4,000 years ago. In these proportions they've entered Europe as IE. Will see soon.

There is no way they were 90% ANE. How do you explain nearly 50% WHG ancestry in Ireland when the Neolithic farmers of western Europe had only around 20-25%? Obviously the native Neolithic people of western Europe can not explain the high amounts of WHG ancestry that exist in northwest Europe. My guess is that they had more WHG ancestry than ANE.

LeBrok
02-07-14, 16:59
There is no way they were 90% ANE. How do you explain nearly 50% Before IE invasion there was only WHG and EEF admixtures in Ireland. For most northerly European countries, where farming came late, the ratio was close to 50/50. For south Europeans the admixtures were overwhelmingly EEF.


WHG ancestry in Ireland when the Neolithic farmers of western Europe had only around 20-25%? Obviously the native Neolithic people of western Europe can not explain the high amounts of WHG ancestry that exist in northwest Europe. There was more WHG in NW Europe. In Neolithic it might not have been mixed evenly through population yet, with still some enclaves of pure WHG roaming around. Farming came late there and had few collapses letting Hunter-Gatherers recover and mix with farmers later.


My guess is that they had more WHG ancestry than ANE. Impossible, although they had some (minority). Otherwise you can't explain about 12% level of ANE in Southern Europe and almost nothing WHG. I think IE came with ration 1 to 4, one IE to 4 locals. Assuming that they were roughly 50/50 EEF/ANE, coming from Yamna culture. Indo Iranians from farther east could have been much higher on ANE scale.

Pax Augusta
02-07-14, 17:03
The latest Academic [Lazaridis] figures from April 2014;
p.111: http://biorxiv.org/content/biorxiv/suppl/2014/04/05/001552.DC4/001552-3.pdf

Is Lazaridis a geneticist?

Fire Haired14
02-07-14, 17:29
Lebrok at this point we can only speculate. Greeks score 4% WHG on Laz's test but that actually means they have over 20% aka more than Stuttgart, and also much of their ANE ancestry is from southwest Asian not Indo European admixture. We have autosomal DNA from Swedish(northern) farmers and yes they had more hunter gatherer ancestry than southern ones but much less than modern northwest Europeans and around as much as Basque.

Angela
02-07-14, 17:43
Is Lazaridis a geneticist?

He is a Post-Doctoral Fellow at David Reich's Genetics Lab at Harvard University.

John Doe
02-07-14, 17:48
Lebrok at this point we can only speculate. Greeks score 4% WHG on Laz's test but that actually means they have over 20% aka more than Stuttgart, and also much of their ANE ancestry is from southwest Asian not Indo European admixture. We have autosomal DNA from Swedish(northern) farmers and yes they had more hunter gatherer ancestry than southern ones but much less than modern northwest Europeans and around as much as Basque.

How much do AJs score? I know it's very low but it is above noise level.

Pax Augusta
02-07-14, 18:10
He is a Post-Doctoral Fellow at David Reich's Genetics Lab at Harvard University.

Thanks, I knew, but I asked if he was a geneticist.

According to this, He has a PhD on "Information and Computer Science"
If it's true, He is not geneticist, even if he is a Post-Doctoral Fellow at David Reich's Genetics Lab at Harvard University

http://contactbee.com/en/contact/view/5000459


Education/degrees

University of California, Irvine - Ph.D. , Information and Computer Science

University of California, Irvine - Master of Science (M.S.) , Information and Computer Science

National Technical University of Athens - Diploma in Engineering , Electrical and Computer Engineering

sparkey
02-07-14, 18:58
Thanks, I knew, but I asked if he was a geneticist.

According to this, He has a PhD on "Information and Computer Science"
If it's true, He is not geneticist, even if he is a Post-Doctoral Fellow at David Reich's Genetics Lab at Harvard University

http://contactbee.com/en/contact/view/5000459


Education/degrees

University of California, Irvine - Ph.D. , Information and Computer Science

University of California, Irvine - Master of Science (M.S.) , Information and Computer Science

National Technical University of Athens - Diploma in Engineering , Electrical and Computer Engineering

Lazaridis often co-authors with Nick Patterson (https://www.broadinstitute.org/bios/nick-patterson), who is usually described as a "computational biologist" rather than a geneticist, and the same may apply to Lazaridis. Lazaridis also often co-authors with David Reich (http://en.wikipedia.org/wiki/David_Reich_%28geneticist%29), who is in fact a geneticist, in the strictest sense of the term.

Angela
02-07-14, 18:59
Thanks, I knew, but I asked if he was a geneticist.

According to this, He has a PhD on "Information and Computer Science"
If it's true, He is not geneticist, even if he is a Post-Doctoral Fellow at David Reich's Genetics Lab at Harvard University

http://contactbee.com/en/contact/view/5000459


Education/degrees

University of California, Irvine - Ph.D. , Information and Computer Science

University of California, Irvine - Master of Science (M.S.) , Information and Computer Science

National Technical University of Athens - Diploma in Engineering , Electrical and Computer Engineering

I'm afraid I don't get your point. The study of population genetics is heavily dependent on such disciplines. It is not only or even primarily focused on the changes in the cells. Population genetics is, in fact, a new discipline. Regardless, the paper to which you refer was prepared by the Reich Lab at Harvard Medical School under the direction of David Reich (who is a geneticist proper), with Lazaridis as the lead author. The paper also lists as contributing authors a whole host of renowned population geneticists.

Iosif Lazaridis, Nick Patterson, Alissa Mittnik, Gabriel Renaud, Swapan Mallick, Peter H. Sudmant, Joshua G. Schraiber, Sergi Castellano, Karola Kirsanow, Christos Economou, Ruth Bollongino, Qiaomei Fu, Kirsten Bos, Susanne Nordenfelt, Cesare de Filippo, Kay Prüfer, Susanna Sawyer, Cosimo Posth, Wolfgang Haak, Fredrik Hallgren, Elin Fornander, George Ayodo, Hamza A. Babiker, Elena Balanovska, Oleg Balanovsky, Haim Ben-Ami, Judit Bene, Fouad Berrada, Francesca Brisighelli, George B.J. Busby, Francesco Cali, Mikhail Churnosov, David E.C. Cole, Larissa Damba, Dominique Delsate, George van Driem, Stanislav Dryomov, Sardana A. Fedorova, Michael Francken, Irene Gallego Romero, Marina Gubina, Jean-Michel Guinet, Michael Hammer, Brenna Henn, Tor Helvig, Ugur Hodoglugil, Aashish R. Jha, Rick Kittles, Elza Khusnutdinova, Toomas Kivisild, Vaidutis Kučinskas, Rita Khusainova, Alena Kushniarevich, Leila Laredj, Sergey Litvinov, Robert W. Mahley, Béla Melegh, Ene Metspalu, Joanna Mountain, Thomas Nyambo, Ludmila Osipova, Jüri Parik, Fedor Platonov, Olga L. Posukh, Valentino Romano, Igor Rudan, Ruslan Ruizbakiev, Hovhannes Sahakyan, Antonio Salas, Elena B. Starikovskaya, Ayele Tarekegn, Draga Toncheva, Shahlo Turdikulova, Ingrida Uktveryte, Olga Utevska, Mikhail Voevoda, Joachim Wahl, Pierre Zalloua, Levon Yepiskoposyan, Tatijana Zemunik, Alan Cooper, Cristian Capelli, Mark G. Thomas, Sarah A. Tishkoff, Lalji Singh, Kumarasamy Thangaraj, Richard Villems, David Comas, Rem Sukernik, Mait Metspalu, Matthias Meyer, Evan E. Eichler, Joachim Burger, Montgomery Slatkin, Svante Pääbo, Janet Kelso, David Reich, Johannes Krause
doi: http://dx.doi.org/10.1101/001552

Angela
02-07-14, 19:07
How much do AJs score? I know it's very low but it is above noise level.

As has been posted, the academic results upon which all these analyses are based (Lazaridis et al from the Reich Lab at Harvard), show that AJ's can be fitted with no WHG at all. In other words, they can be seen solely as a combination of EEF and ANE.

The only claim that AJ's have even a very minority slice of WHG comes from a calculator produced by a blogger, and its results are in contradiction to the Lazaridis et al results, have very wide margins of error, and produce some bizarre results for some European groups.

Angela
02-07-14, 19:15
Sparkey said it more succinctly. :)

Fire Haired14
02-07-14, 19:15
Angela, Stuttgart absorbs WHg ancestry, a sample has to have more than her(probably over 20%) to score any WHG. If AJs have admixed with any Europeans at all they have some WHG ancestry, same goes for other non-European people.

John Doe
02-07-14, 19:22
As has been posted, the academic results upon which all these analyses are based (Lazaridis et al from the Reich Lab at Harvard), show that AJ's can be fitted with no WHG at all. In other words, they can be seen solely as a combination of EEF and ANE.

The only claim that AJ's have even a very minority slice of WHG comes from a calculator produced by a blogger, and its results are in contradiction to the Lazaridis et al results, have very wide margins of error, and produce some bizarre results for some European groups.

Alright, got it, thanks.

John Doe
02-07-14, 19:23
Angela, Stuttgart absorbs WHg ancestry, a sample has to have more than her(probably over 20%) to score any WHG. If AJs have admixed with any Europeans at all they have some WHG ancestry, same goes for other non-European people.

Not true, Sicilians, Maltese, Greek islanders and Cypriots don't have any WHG ancestry and they're considered Europeans, AJs may have admixed with Greek Islander like populations who in the first place are overwhelmingly EEF.

John Doe
02-07-14, 19:26
As has been posted, the academic results upon which all these analyses are based (Lazaridis et al from the Reich Lab at Harvard), show that AJ's can be fitted with no WHG at all. In other words, they can be seen solely as a combination of EEF and ANE.

The only claim that AJ's have even a very minority slice of WHG comes from a calculator produced by a blogger, and its results are in contradiction to the Lazaridis et al results, have very wide margins of error, and produce some bizarre results for some European groups.

Do you have a link for the study, the link you posted above says nothing of AJs.

Angela
02-07-14, 19:34
Angela, Stuttgart absorbs WHg ancestry, a sample has to have more than her(probably over 20%) to score any WHG. If AJs have admixed with any Europeans at all they have some WHG ancestry, same goes for other non-European people.


Angela, Stuttgart absorbs WHg ancestry, a sample has to have more than her(probably over 20%) to score any WHG. If AJs have admixed with any Europeans at all they have some WHG ancestry, same goes for other non-European people.

As I said, as per Lazaridis et al, AJ's can be fitted as a solely EEF /ANE population.

Whatever proportion of ancient WHG is present within EEF (Stuttgart) is not relevant, in my opinion. (and not settled)

From the Lazaridis et al results, the AJ population doesn't have any more WHG than that which is buried in EEF, and than would be expected in a pre-Islamic migrations and pre-African slavery Levantine/East Mediterranean population.

If you choose to find the "calculator" results more accurate than those of the academic paper, that's of course another matter, and your prerogative.

John Doe
02-07-14, 19:42
As I said, as per Lazaridis et al, AJ's can be fitted as a solely EEF /ANE population.

Whatever proportion of ancient WHG is present within EEF (Stuttgart) is not relevant, in my opinion. (and not settled)

From the Lazaridis et al results, the AJ population doesn't have any more WHG than that which is buried in EEF, and than would be expected in a pre-Islamic migrations and pre-African slavery Levantine/East Mediterranean population.

If you choose to find the "calculator" results more accurate than those of the academic paper, that's of course another matter, and your prerogative.

Do Sicilians, South Italians, Maltese, Greeks, Greek islanders and Cypriots get any WHG?

Angela
02-07-14, 20:02
Do you have a link for the study, the link you posted above says nothing of AJs.

From the link which I provided, you can access the 193 page pdf file. This is the direct link.
http://arxiv.org/ftp/arxiv/papers/1312/1312.6639.pdf

If you go to page 40, you'll find Extended Data Table 3, which lists the EEF/WHG/ANE proportions for all of the populations which they tested. The AJ show up as 0 WHG. So do the Maltese and the Sicilians. The Greek Islanders were not tested, and you would have to make inferences, or use the Near East calculator, which seems pretty good.

I would happily reproduce the table here for easier reference, but I can't seem to post tables other than to save them to my computer and then post, and I've reached my maximum for attachments.

Ed. maybe someone who hasn't used up their attachment space can do it.

Southern Italians were also not tested. Greeks have .058 WHG. However, from what I can gather, this was a northern mainland Greek population. I would speculate that this might derive from the early medieval period "Slavic" migrations.

John Doe
02-07-14, 20:07
From the link which I provided, you can access the 193 page pdf file. This is the direct link.
http://arxiv.org/ftp/arxiv/papers/1312/1312.6639.pdf

If you go to page 40, you'll find Extended Data Table 3, which lists the EEF/WHG/ANE proportions for all of the populations which they tested. The AJ show up as 0 WHG. So do the Maltese and the Sicilians. The Greek Islanders were not tested, and you would have to make inferences, or use the Near East calculator, which seems pretty good.

I would happily reproduce the table here for easier reference, but I can't seem to post tables other than to save them to my computer and then post, and I've reached my maximum for attachments.

Ed. maybe someone who hasn't used up their attachment space can do it.


Alright thanks, I suspected Maltese and Sicilians would end up as 0 as well, the study basically says that there are 2 types of European populations that are different, the first (Sicilians, Maltese and AJs) have a lot more EEF ancestry, 0 WHG ancestry probably due to a larger amount of Near Eastern ancestry through the EEF ancestry, which is also the reason said populations plot in the gap between European and Near Eastern populations. The second group are Finns, Mordovians and Russians from northeastern Europe who seem to be drawn to East Asians probably due to Siberian admixture. On the Near East calculator I show up as 84% Near Eastern and 16% ANE. I got a long reading in front of me, but it'll be worth it. :)

John Doe
02-07-14, 20:18
So according to Extended Data Figure 4 AJs, Maltese and Sicilians are plotted in the gap between Near Eastern and European populations (Cypriots are further down, closer to Lebanese).


P.S Greeks get around 6% WHG, so only AJs, Maltese and Sicilians get 0% WHG.

Is the calculator for Southeast Europeans/West Asians as accurate as the results produced by the study at hand?

Pax Augusta
02-07-14, 22:39
I'm afraid I don't get your point. The study of population genetics is heavily dependent on such disciplines. It is not only focused on the changes in the cells. Regardless, the paper to which you refer was prepared by the Reich lab at Harvard Medical School under the direction of David Reich, with Lazaridis as the lead author.

My point? Facts from primary sources.

The whole thing makes him a geneticist? I don't deny he could have an important skill on genetics, but he's always a computer scientist probably specialized on databases. "Iosif Lazaridis could indeed be the person hidden behind the pseudonym Dienekes Pontikos", Maciamo said. If it is true, what is the reason for his anonymity?

David Reich is a geneticist, that's sure. But I don't remember him as an expert of ancient and modern-day Eurasian populations. It will be my problem, no doubt. Anyway, what's your source on this? "the paper to which you refer was prepared by the Reich lab at Harvard Medical School under the direction of David Reich". The full version paper? Reich is just accredited as co-senior author, I don't find any official Harvard participation.

If the paper was really prepared by the Reich lab at Harvard Medical School under the direction of David Reich, why is the paper available on biorxiv.org only? biorxiv.org is "a free online archive and distribution service for unpublished preprints in the life sciences". Can you explain me this? Have some scientific publisher accepted this paper? I don't see any evidence of this.



The paper also lists as contributing authors a whole host of renowned population geneticists.

Iosif Lazaridis, Nick Patterson, Alissa Mittnik, Gabriel Renaud, Swapan Mallick, Peter H. Sudmant, Joshua G. Schraiber, Sergi Castellano, Karola Kirsanow, Christos Economou, Ruth Bollongino, Qiaomei Fu, Kirsten Bos, Susanne Nordenfelt, Cesare de Filippo, Kay Prüfer, Susanna Sawyer, Cosimo Posth, Wolfgang Haak, Fredrik Hallgren, Elin Fornander, George Ayodo, Hamza A. Babiker, Elena Balanovska, Oleg Balanovsky, Haim Ben-Ami, Judit Bene, Fouad Berrada, Francesca Brisighelli, George B.J. Busby, Francesco Cali, Mikhail Churnosov, David E.C. Cole, Larissa Damba, Dominique Delsate, George van Driem, Stanislav Dryomov, Sardana A. Fedorova, Michael Francken, Irene Gallego Romero, Marina Gubina, Jean-Michel Guinet, Michael Hammer, Brenna Henn, Tor Helvig, Ugur Hodoglugil, Aashish R. Jha, Rick Kittles, Elza Khusnutdinova, Toomas Kivisild, Vaidutis Kučinskas, Rita Khusainova, Alena Kushniarevich, Leila Laredj, Sergey Litvinov, Robert W. Mahley, Béla Melegh, Ene Metspalu, Joanna Mountain, Thomas Nyambo, Ludmila Osipova, Jüri Parik, Fedor Platonov, Olga L. Posukh, Valentino Romano, Igor Rudan, Ruslan Ruizbakiev, Hovhannes Sahakyan, Antonio Salas, Elena B. Starikovskaya, Ayele Tarekegn, Draga Toncheva, Shahlo Turdikulova, Ingrida Uktveryte, Olga Utevska, Mikhail Voevoda, Joachim Wahl, Pierre Zalloua, Levon Yepiskoposyan, Tatijana Zemunik, Alan Cooper, Cristian Capelli, Mark G. Thomas, Sarah A. Tishkoff, Lalji Singh, Kumarasamy Thangaraj, Richard Villems, David Comas, Rem Sukernik, Mait Metspalu, Matthias Meyer, Evan E. Eichler, Joachim Burger, Montgomery Slatkin, Svante Pääbo, Janet Kelso, David Reich, Johannes Krause
doi: http://dx.doi.org/10.1101/001552

Have these contributing authors really worked with Lazaridis? Or Lazaridis have just used their studies?

Here a previous work of Lazaridis:

Fault Tolerant Evaluation of Continuous Selection Queries over Sensor Data

Iosif Lazaridis Department of Computer Science, University of California, Irvine, CA, USA
Qi Han Department of Math and Computer Sciences, Colorado School of Mines, Golden, CO, USA
Sharad Mehrotra Department of Computer Science, University of California, Irvine, CA, USA
Nalini Venkatasubramanian Department of Computer Science, University of California, Irvine, CA, USA

Published in:
Journal International Journal of Distributed Sensor Networks archive
Volume 5 Issue 4, July 2009
Pages 338-360
Taylor & Francis, Inc. Bristol, PA, USA

http://dl.acm.org/citation.cfm?id=1572676

AgnusDei
03-07-14, 00:54
This is the Middle Eastern version of the spreadsheet courtesy of poster MfA



MfA's spreadsheet :

Near East 89.622
ANE 10.378

John Doe
03-07-14, 10:56
This is the Middle Eastern version of the spreadsheet courtesy of poster MfA

I got 84% Near East and 16% ANE.

AgnusDei
03-07-14, 22:10
I got 84% Near East and 16% ANE.

Nice,to see other member's results !
Thanks for sharing !

John Doe
04-07-14, 09:03
Nice,to see other member's results !
Thanks for sharing !

No worries, glad to share. ;-)

Ike
18-07-14, 19:22
What is this test based on? With what samples are we comparing?

AgnusDei
20-07-14, 08:12
My results:

Using 1 population approximation:1 Yemenite_Jewish @ 31.684876
2 Gokhem2 @ 42.884588
3 Sardinian @ 43.355179
4 Gokhem7 @ 53.288342
5 La_Brana-1 @ 57.815683
6 Lezgin @ 58.908999
7 Ajvide58 @ 59.533044
8 Ajvide70 @ 60.081716
9 StoraFörvar11 @ 61.582985
10 MA-1 @ 66.057054
11 Ethiopian_Ari_cultivator @ 78.418864
12 Australian_Aboriginal @ 82.986925
13 Sakilli @ 90.530929
14 Evens @ 91.984297
15 Yoruban @ 95.62364
16 Anzick-1 @ 100.134548
17 Dai @ 101.283625
18 Papuan @ 104.242831
18 iterations.


Using 2 populations approximation:
1 Gokhem2+Yemenite_Jewish @ 16.50586
2 Sardinian+Yemenite_Jewish @ 18.618693
3 Gokhem7+Yemenite_Jewish @ 21.91119
4 La_Brana-1+Yemenite_Jewish @ 27.631475
5 Ajvide58+Yemenite_Jewish @ 28.996935
6 Ajvide70+Yemenite_Jewish @ 29.4205
7 StoraFörvar11+Yemenite_Jewish @ 30.799431
8 Yemenite_Jewish+Yemenite_Jewish @ 31.684876
9 MA-1+Yemenite_Jewish @ 33.566624
10 Lezgin+Yemenite_Jewish @ 34.096418
11 Ethiopian_Ari_cultivator+Yemenite_Jewish @ 37.50665
12 Lezgin+Sardinian @ 38.716617
13 Gokhem2+Lezgin @ 40.713593
14 La_Brana-1+Sardinian @ 40.94675
15 Ajvide58+Sardinian @ 41.234201
16 Ajvide70+Sardinian @ 41.250039
17 Ethiopian_Ari_cultivator+Sardinian @ 41.306834
18 Sardinian+StoraFörvar11 @ 41.336499
171 iterations.


Using 3 populations approximation:
1 50% Gokhem2 +25% Yemenite_Jewish +25% Yemenite_Jewish @ 16.50586
2 50% Yemenite_Jewish +25% Gokhem2 +25% Sardinian @ 17.082827
3 50% Yemenite_Jewish +25% Ethiopian_Ari_cultivator +25% Sardinian @ 17.309453
4 50% Yemenite_Jewish +25% Ethiopian_Ari_cultivator +25% Gokhem2 @ 17.813991
5 50% Yemenite_Jewish +25% La_Brana-1 +25% Sardinian @ 17.928903
6 50% Yemenite_Jewish +25% Sardinian +25% Yoruban @ 18.13757
7 50% Yemenite_Jewish +25% Ajvide58 +25% Sardinian @ 18.461364
8 50% Yemenite_Jewish +25% Gokhem2 +25% Gokhem7 @ 18.577489
9 50% Yemenite_Jewish +25% Ajvide70 +25% Sardinian @ 18.582698
10 50% Yemenite_Jewish +25% Gokhem2 +25% Yoruban @ 18.614558
11 50% Sardinian +25% Yemenite_Jewish +25% Yemenite_Jewish @ 18.618693
12 50% Yemenite_Jewish +25% Gokhem2 +25% Yemenite_Jewish @ 18.732881
13 50% Yemenite_Jewish +25% Gokhem7 +25% Sardinian @ 18.749124
14 50% Yemenite_Jewish +25% Sardinian +25% StoraFörvar11 @ 19.125636
15 50% Yemenite_Jewish +25% Gokhem2 +25% La_Brana-1 @ 19.376066
16 50% Yemenite_Jewish +25% Gokhem7 +25% Yemenite_Jewish @ 19.534418
17 50% Yemenite_Jewish +25% MA-1 +25% Sardinian @ 19.713288
18 50% Yemenite_Jewish +25% Ethiopian_Ari_cultivator +25% Gokhem7 @ 19.885911
2850 iterations.


Using 4 populations approximation:
1 Gokhem2+Gokhem2+Yemenite_Jewish+Yemenite_Jewish @ 16.50586
2 Gokhem2+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 17.082827
3 Ethiopian_Ari_cultivator+Sardinian+Yemenite_Jewish +Yemenite_Jewish @ 17.309453
4 Ethiopian_Ari_cultivator+Gokhem2+Yemenite_Jewish+Y emenite_Jewish @ 17.813991
5 La_Brana-1+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 17.928903
6 Sardinian+Yemenite_Jewish+Yemenite_Jewish+Yoruban @ 18.13757
7 Ajvide58+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 18.461364
8 Gokhem2+Gokhem7+Yemenite_Jewish+Yemenite_Jewish @ 18.577489
9 Ajvide70+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 18.582698
10 Gokhem2+Yemenite_Jewish+Yemenite_Jewish+Yoruban @ 18.614558
11 Sardinian+Sardinian+Yemenite_Jewish+Yemenite_Jewis h @ 18.618693
12 Gokhem2+Yemenite_Jewish+Yemenite_Jewish+Yemenite_J ewish @ 18.732881
13 Gokhem7+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 18.749124
14 Sardinian+StoraFörvar11+Yemenite_Jewish+Yemenite_ Jewish @ 19.125636
15 Gokhem2+La_Brana-1+Yemenite_Jewish+Yemenite_Jewish @ 19.376066
16 Gokhem7+Yemenite_Jewish+Yemenite_Jewish+Yemenite_J ewish @ 19.534418
17 MA-1+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 19.713288
18 Ethiopian_Ari_cultivator+Gokhem7+Yemenite_Jewish+Y emenite_Jewish @ 19.885911
19 Ajvide58+Gokhem2+Yemenite_Jewish+Yemenite_Jewish @ 19.904255
20 Sardinian+Yemenite_Jewish+Yemenite_Jewish+Yemenite _Jewish @ 20.037643
21 Ajvide70+Gokhem2+Yemenite_Jewish+Yemenite_Jewish @ 20.063265
22 Gokhem2+MA-1+Yemenite_Jewish+Yemenite_Jewish @ 20.311258
23 Gokhem2+StoraFörvar11+Yemenite_Jewish+Yemenite_Je wish @ 20.414158
24 Gokhem7+Yemenite_Jewish+Yemenite_Jewish+Yoruban @ 21.007791
25 Lezgin+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 21.461877
26 Gokhem7+La_Brana-1+Yemenite_Jewish+Yemenite_Jewish @ 21.569186
27 Gokhem2+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 21.638715
28 Gokhem7+Gokhem7+Yemenite_Jewish+Yemenite_Jewish @ 21.91119
29 Ethiopian_Ari_cultivator+Sardinian+Sardinian+Yemen ite_Jewish @ 21.999116
30 Ethiopian_Ari_cultivator+Gokhem2+Sardinian+Yemenit e_Jewish @ 22.303268
31 Gokhem7+MA-1+Yemenite_Jewish+Yemenite_Jewish @ 22.317554
32 Ajvide58+Gokhem7+Yemenite_Jewish+Yemenite_Jewish @ 22.625321
33 Ajvide70+Gokhem7+Yemenite_Jewish+Yemenite_Jewish @ 22.946079
34 La_Brana-1+Yemenite_Jewish+Yemenite_Jewish+Yemenite_Jewish @ 23.049217
35 Gokhem7+StoraFörvar11+Yemenite_Jewish+Yemenite_Je wish @ 23.101866
36 Australian_Aboriginal+Sardinian+Yemenite_Jewish+Ye menite_Jewish @ 23.345718
5985 iterations.




Gaussian method.
Noise dispersion set to 0.33296


Using 1 population approximation:
1 Yemenite_Jewish @ 29.320055
2 Sardinian @ 33.837206
3 Gokhem2 @ 37.099258
4 Lezgin @ 45.646713
5 Sakilli @ 48.073091
6 Ethiopian_Ari_cultivator @ 50.345641
7 Gokhem7 @ 69.857735
8 Evens @ 70.386374
9 Dai @ 96.78551
10 Yoruban @ 97.166442
11 Australian_Aboriginal @ 103.757496
12 Ajvide58 @ 106.047463
13 Ajvide70 @ 110.648998
14 StoraFörvar11 @ 111.528269
15 Papuan @ 111.917459
16 La_Brana-1 @ 113.715246
17 MA-1 @ 114.823339
18 Anzick-1 @ 115.873695
18 iterations.


Using 2 populations approximation:
1 Gokhem7+Yemenite_Jewish @ 15.519422
2 Ethiopian_Ari_cultivator+Sardinian @ 16.528022
3 Ethiopian_Ari_cultivator+Yemenite_Jewish @ 18.585885
4 Yemenite_Jewish+Yoruban @ 20.033488
5 Ethiopian_Ari_cultivator+Gokhem2 @ 20.452284
6 Australian_Aboriginal+Yemenite_Jewish @ 23.322216
7 Sardinian+Yoruban @ 23.766486
8 Sakilli+Yemenite_Jewish @ 24.304187
9 Sardinian+Yemenite_Jewish @ 25.716296
10 Gokhem2+Yoruban @ 27.063452
11 Gokhem2+Yemenite_Jewish @ 27.627794
12 Australian_Aboriginal+Sardinian @ 27.826109
13 Lezgin+Yemenite_Jewish @ 28.038419
14 Sakilli+Sardinian @ 29.283474
15 Ajvide70+Yemenite_Jewish @ 29.297752
16 Yemenite_Jewish+Yemenite_Jewish @ 29.320055
17 Dai+Yemenite_Jewish @ 29.673589
18 Papuan+Yemenite_Jewish @ 29.701095
171 iterations.


Using 3 populations approximation:
1 50% Yemenite_Jewish +25% Sardinian +25% Yoruban @ 8.149101
2 50% Yemenite_Jewish +25% Ethiopian_Ari_cultivator +25% Sardinian @ 9.007227
3 50% Yemenite_Jewish +25% Gokhem2 +25% Yoruban @ 9.253608
4 50% Yemenite_Jewish +25% Ethiopian_Ari_cultivator +25% Gokhem2 @ 9.95766
5 50% Sardinian +25% Ethiopian_Ari_cultivator +25% Yemenite_Jewish @ 10.300975
6 50% Yemenite_Jewish +25% Gokhem7 +25% Yoruban @ 10.606294
7 50% Sardinian +25% Yemenite_Jewish +25% Yoruban @ 10.805292
8 50% Yemenite_Jewish +25% Ethiopian_Ari_cultivator +25% Gokhem7 @ 10.952055
9 50% Ethiopian_Ari_cultivator +25% Sardinian +25% Yemenite_Jewish @ 11.4495
10 50% Gokhem2 +25% Ethiopian_Ari_cultivator +25% Yemenite_Jewish @ 11.735893
11 50% Gokhem2 +25% Yemenite_Jewish +25% Yoruban @ 12.22394
12 50% Ethiopian_Ari_cultivator +25% Gokhem2 +25% Yemenite_Jewish @ 12.491225
13 50% Gokhem7 +25% Ethiopian_Ari_cultivator +25% Yemenite_Jewish @ 12.99811
14 50% Yoruban +25% Sardinian +25% Yemenite_Jewish @ 13.286819
15 50% Ethiopian_Ari_cultivator +25% Gokhem7 +25% Yemenite_Jewish @ 13.866752
16 50% Gokhem7 +25% Yemenite_Jewish +25% Yoruban @ 13.970894
17 50% Yoruban +25% Gokhem2 +25% Yemenite_Jewish @ 14.280477
18 50% Yemenite_Jewish +25% La_Brana-1 +25% Yoruban @ 14.880106
2907 iterations.


Using 4 populations approximation:
1 Sardinian+Yemenite_Jewish+Yemenite_Jewish+Yoruban @ 8.149101
2 Ethiopian_Ari_cultivator+Sardinian+Yemenite_Jewish +Yemenite_Jewish @ 9.007227
3 Gokhem2+Yemenite_Jewish+Yemenite_Jewish+Yoruban @ 9.253608
4 Ethiopian_Ari_cultivator+Gokhem2+Yemenite_Jewish+Y emenite_Jewish @ 9.95766
5 Ethiopian_Ari_cultivator+Sardinian+Sardinian+Yemen ite_Jewish @ 10.300975
6 Ethiopian_Ari_cultivator+Sardinian+Yemenite_Jewish +Yoruban @ 10.392575
7 Gokhem7+Yemenite_Jewish+Yemenite_Jewish+Yoruban @ 10.606294
8 Sardinian+Sardinian+Yemenite_Jewish+Yoruban @ 10.805292
9 Ethiopian_Ari_cultivator+Gokhem7+Yemenite_Jewish+Y emenite_Jewish @ 10.952055
10 Ethiopian_Ari_cultivator+Gokhem2+Sardinian+Yemenit e_Jewish @ 11.111248
11 Ethiopian_Ari_cultivator+Ethiopian_Ari_cultivator+ Sardinian+Yemenite_Jewish @ 11.4495
12 Ethiopian_Ari_cultivator+Gokhem7+Sardinian+Yemenit e_Jewish @ 11.46241
13 Ethiopian_Ari_cultivator+Gokhem2+Yemenite_Jewish+Y oruban @ 11.585099
14 Gokhem2+Sardinian+Yemenite_Jewish+Yoruban @ 11.626502
15 Ethiopian_Ari_cultivator+Gokhem2+Gokhem2+Yemenite_ Jewish @ 11.735893
16 Ethiopian_Ari_cultivator+Lezgin+Sardinian+Yemenite _Jewish @ 12.070827
17 Gokhem2+Gokhem2+Yemenite_Jewish+Yoruban @ 12.22394
18 Gokhem7+Sardinian+Yemenite_Jewish+Yoruban @ 12.252976
19 Ethiopian_Ari_cultivator+Gokhem2+Gokhem7+Yemenite_ Jewish @ 12.269597
20 Ethiopian_Ari_cultivator+La_Brana-1+Sardinian+Yemenite_Jewish @ 12.439987
21 Ethiopian_Ari_cultivator+Ethiopian_Ari_cultivator+ Gokhem2+Yemenite_Jewish @ 12.491225
22 Ajvide58+Ethiopian_Ari_cultivator+Sardinian+Yemeni te_Jewish @ 12.500757
23 Ajvide70+Ethiopian_Ari_cultivator+Sardinian+Yemeni te_Jewish @ 12.563372
24 Lezgin+Sardinian+Yemenite_Jewish+Yoruban @ 12.631839
25 Ethiopian_Ari_cultivator+Sakilli+Sardinian+Yemenit e_Jewish @ 12.633936
26 Ethiopian_Ari_cultivator+Sardinian+StoraFörvar11+ Yemenite_Jewish @ 12.748677
27 Anzick-1+Ethiopian_Ari_cultivator+Sardinian+Yemenite_Jewi sh @ 12.803567
28 Australian_Aboriginal+Ethiopian_Ari_cultivator+Sar dinian+Yemenite_Jewish @ 12.817209
29 Ethiopian_Ari_cultivator+Evens+Sardinian+Yemenite_ Jewish @ 12.846899
30 Ethiopian_Ari_cultivator+Papuan+Sardinian+Yemenite _Jewish @ 12.878874
31 Dai+Ethiopian_Ari_cultivator+Sardinian+Yemenite_Je wish @ 12.908107
32 Ethiopian_Ari_cultivator+Gokhem2+Lezgin+Yemenite_J ewish @ 12.955843
33 Ajvide70+Sardinian+Yemenite_Jewish+Yoruban @ 12.973475
34 Ajvide58+Sardinian+Yemenite_Jewish+Yoruban @ 12.988108
35 Ethiopian_Ari_cultivator+MA-1+Sardinian+Yemenite_Jewish @ 12.991343
36 Ethiopian_Ari_cultivator+Gokhem7+Gokhem7+Yemenite_ Jewish @ 12.99811
Source: http://bga101.blogspot.com.au/2014/07/model-yourself-as-mixture-of-ancient.html

John Doe
20-07-14, 08:20
My results:

Source: http://bga101.blogspot.com.au/2014/07/model-yourself-as-mixture-of-ancient.html

Thanks for the link! I'll check it out as soon as Gedmatch returns to function normally.

AgnusDei
20-07-14, 10:43
Thanks for the link! I'll check it out as soon as Gedmatch returns to function normally.

You're most welcome!

BTW,the Admix utility is now available on Gedmatch .

John Doe
20-07-14, 10:44
You're most welcome!

BTW,the Admix utility is now available on Gedmatch .

Oh, does that mean I don't have to download the Admix utility?

AgnusDei
20-07-14, 11:07
Oh, does that mean I don't have to download the Admix utility?

Just post your K15 results here and I am going to run the admix utility for you .

John Doe
20-07-14, 11:27
Just post your K15 results here and I am going to run the admix utility for you .

Alright, unfortunately the link to oracle is unavailable atm.
Here are the results:
Population

North_Sea 8.44%
Atlantic 19.52%
Baltic 4.00%
Eastern_Euro 1.99%
West_Med 14.60%
West_Asian 16.32%
East_Med 26.20%
Red_Sea 6.79%
South_Asian -
Southeast_Asian 0.62%
Siberian -
Amerindian -
Oceanian 0.29%
Northeast_African 1.24%
Sub-Saharan-

AgnusDei
20-07-14, 11:34
Alright, unfortunately the link to oracle is unavailable atm.
Here are the results:
Population

North_Sea 8.44%
Atlantic 19.52%
Baltic 4.00%
Eastern_Euro 1.99%
West_Med 14.60%
West_Asian 16.32%
East_Med 26.20%
Red_Sea 6.79%
South_Asian -
Southeast_Asian 0.62%
Siberian -
Amerindian -
Oceanian 0.29%
Northeast_African 1.24%
Sub-Saharan-




Least-squares method.


Using 1 population approximation:
1 Gokhem2 @ 35.337257
2 Sardinian @ 38.41964
3 Lezgin @ 39.992311
4 Yemenite_Jewish @ 43.354378
5 Gokhem7 @ 44.442959
6 La_Brana-1 @ 46.185623
7 Ajvide58 @ 48.967621
8 Ajvide70 @ 49.88405
9 StoraFörvar11 @ 53.054163
10 MA-1 @ 63.126545
11 Australian_Aboriginal @ 82.008515
12 Ethiopian_Ari_cultivator @ 86.977395
13 Sakilli @ 88.532094
14 Evens @ 90.601332
15 Dai @ 99.597661
16 Anzick-1 @ 99.850216
17 Papuan @ 103.20689
18 Yoruban @ 104.254636
18 iterations.


Using 2 populations approximation:
1 Lezgin+Sardinian @ 19.019266
2 Gokhem2+Yemenite_Jewish @ 20.373897
3 Gokhem2+Lezgin @ 20.663276
4 Gokhem7+Yemenite_Jewish @ 22.038607
5 Sardinian+Yemenite_Jewish @ 24.138967
6 La_Brana-1+Yemenite_Jewish @ 24.42464
7 Lezgin+Yemenite_Jewish @ 25.78679
8 Ajvide58+Yemenite_Jewish @ 26.560872
9 Ajvide70+Yemenite_Jewish @ 27.252597
10 Gokhem7+Lezgin @ 28.985336
11 La_Brana-1+Sardinian @ 29.496852
12 StoraFörvar11+Yemenite_Jewish @ 29.959647
13 Ajvide58+Sardinian @ 30.41842
14 Ajvide70+Sardinian @ 30.644203
15 Sardinian+StoraFörvar11 @ 31.906815
16 La_Brana-1+Lezgin @ 33.077375
17 Gokhem2+La_Brana-1 @ 33.477768
18 Ajvide58+Gokhem2 @ 34.372388
171 iterations.


Using 3 populations approximation:
1 50% Gokhem2 +25% Lezgin +25% Yemenite_Jewish @ 12.345023
2 50% Sardinian +25% Lezgin +25% Yemenite_Jewish @ 14.268053
3 50% Lezgin +25% Sardinian +25% Yemenite_Jewish @ 15.477696
4 50% Lezgin +25% Gokhem2 +25% Yemenite_Jewish @ 16.084098
5 50% Yemenite_Jewish +25% Gokhem2 +25% Lezgin @ 17.051584
6 50% Yemenite_Jewish +25% Lezgin +25% Sardinian @ 18.161099
7 50% Yemenite_Jewish +25% Gokhem7 +25% Lezgin @ 18.399636
8 50% Yemenite_Jewish +25% La_Brana-1 +25% Sardinian @ 18.867826
9 50% Lezgin +25% Sardinian +25% Sardinian @ 19.019266
10 50% Yemenite_Jewish +25% Gokhem2 +25% La_Brana-1 @ 19.060178
11 50% Sardinian +25% La_Brana-1 +25% Yemenite_Jewish @ 19.337231
12 50% Lezgin +25% Gokhem2 +25% Sardinian @ 19.406832
13 50% Yemenite_Jewish +25% Gokhem7 +25% La_Brana-1 @ 19.610254
14 50% Yemenite_Jewish +25% Ajvide58 +25% Sardinian @ 19.777962
15 50% Lezgin +25% Gokhem7 +25% Yemenite_Jewish @ 19.802319
16 50% Gokhem7 +25% Lezgin +25% Yemenite_Jewish @ 19.856767
17 50% Sardinian +25% Ajvide58 +25% Yemenite_Jewish @ 19.891612
18 50% Yemenite_Jewish +25% Ajvide58 +25% Gokhem2 @ 19.995858
2727 iterations.


Using 4 populations approximation:
1 Gokhem2+Gokhem2+Lezgin+Yemenite_Jewish @ 12.345023
2 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 12.510365
3 Gokhem2+Lezgin+Sardinian+Yemenite_Jewish @ 12.659457
4 Ajvide58+Lezgin+Sardinian+Yemenite_Jewish @ 14.166347
5 Lezgin+Sardinian+Sardinian+Yemenite_Jewish @ 14.268053
6 Ajvide70+Lezgin+Sardinian+Yemenite_Jewish @ 14.470286
7 Gokhem2+La_Brana-1+Lezgin+Yemenite_Jewish @ 14.900097
8 Gokhem7+Lezgin+Sardinian+Yemenite_Jewish @ 15.397596
9 Lezgin+Lezgin+Sardinian+Yemenite_Jewish @ 15.477696
10 Gokhem2+Gokhem7+Lezgin+Yemenite_Jewish @ 15.56267
11 Gokhem2+Lezgin+Lezgin+Yemenite_Jewish @ 16.084098
12 Ajvide58+Gokhem2+Lezgin+Yemenite_Jewish @ 16.357264
13 Lezgin+Sardinian+StoraFörvar11+Yemenite_Jewish @ 16.528323
14 Ajvide70+Gokhem2+Lezgin+Yemenite_Jewish @ 16.677061
15 Gokhem2+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 17.051584
16 Gokhem7+La_Brana-1+Lezgin+Yemenite_Jewish @ 18.136376
17 Lezgin+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 18.161099
18 Gokhem2+Lezgin+StoraFörvar11+Yemenite_Jewish @ 18.320771
19 Gokhem7+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 18.399636
20 La_Brana-1+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 18.867826
21 Lezgin+Lezgin+Sardinian+Sardinian @ 19.019266
22 Gokhem2+La_Brana-1+Yemenite_Jewish+Yemenite_Jewish @ 19.060178
23 La_Brana-1+Sardinian+Sardinian+Yemenite_Jewish @ 19.337231
24 Gokhem2+Lezgin+Lezgin+Sardinian @ 19.406832
25 Gokhem2+La_Brana-1+Sardinian+Yemenite_Jewish @ 19.41591
26 Gokhem7+La_Brana-1+Yemenite_Jewish+Yemenite_Jewish @ 19.610254
27 Ajvide58+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 19.777962
28 Gokhem7+Lezgin+Lezgin+Yemenite_Jewish @ 19.802319
29 Gokhem7+Gokhem7+Lezgin+Yemenite_Jewish @ 19.856767
30 Ajvide58+Sardinian+Sardinian+Yemenite_Jewish @ 19.891612
31 Ajvide58+Gokhem2+Yemenite_Jewish+Yemenite_Jewish @ 19.995858
32 Ajvide58+Gokhem2+Sardinian+Yemenite_Jewish @ 20.002407
33 Ajvide58+Gokhem7+Lezgin+Yemenite_Jewish @ 20.010079
34 Ajvide70+Sardinian+Sardinian+Yemenite_Jewish @ 20.013793
35 Ajvide70+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 20.047513
36 Ajvide70+Gokhem2+Sardinian+Yemenite_Jewish @ 20.170089
5632 iterations.




Gaussian method.
Noise dispersion set to 0.33296


Using 1 population approximation:
1 Sardinian @ 22.170796
2 Lezgin @ 28.981896
3 Yemenite_Jewish @ 32.6068
4 Gokhem7 @ 36.262904
5 Sakilli @ 52.608282
6 Gokhem2 @ 53.297857
7 Ethiopian_Ari_cultivator @ 67.100737
8 Evens @ 72.253118
9 Ajvide58 @ 102.935188
10 Dai @ 103.133587
11 La_Brana-1 @ 109.58105
12 Ajvide70 @ 109.737592
13 StoraFörvar11 @ 110.034378
14 Yoruban @ 123.027621
15 Australian_Aboriginal @ 123.57898
16 MA-1 @ 125.293028
17 Anzick-1 @ 128.857966
18 Papuan @ 129.346747
18 iterations.


Using 2 populations approximation:
1 Lezgin+Sardinian @ 10.223295
2 Gokhem2+Lezgin @ 12.373223
3 Gokhem7+Yemenite_Jewish @ 13.842293
4 Sardinian+Yemenite_Jewish @ 13.8527
5 Gokhem2+Yemenite_Jewish @ 14.700941
6 Gokhem7+Sardinian @ 17.351115
7 La_Brana-1+Yemenite_Jewish @ 18.384557
8 Gokhem7+Lezgin @ 18.684653
9 Ajvide58+Yemenite_Jewish @ 18.982767
10 Lezgin+Yemenite_Jewish @ 19.159189
11 Sakilli+Sardinian @ 19.376618
12 Ajvide70+Yemenite_Jewish @ 19.752677
13 Gokhem2+Gokhem7 @ 21.372057
14 StoraFörvar11+Yemenite_Jewish @ 22.049654
15 Sardinian+Sardinian @ 22.170796
16 Gokhem2+Sakilli @ 22.735193
17 Ethiopian_Ari_cultivator+Sardinian @ 24.570443
18 Evens+Sardinian @ 27.878677
171 iterations.


Using 3 populations approximation:
1 50% Sardinian +25% Lezgin +25% Yemenite_Jewish @ 7.299756
2 50% Gokhem2 +25% Lezgin +25% Yemenite_Jewish @ 8.421493
3 50% Lezgin +25% Sardinian +25% Yemenite_Jewish @ 9.243425
4 50% Sardinian +25% Lezgin +25% Sardinian @ 9.888393
5 50% Yemenite_Jewish +25% Lezgin +25% Sardinian @ 10.042384
6 50% Lezgin +25% Gokhem2 +25% Yemenite_Jewish @ 10.053448
7 50% Lezgin +25% Sardinian +25% Sardinian @ 10.223295
8 50% Yemenite_Jewish +25% Gokhem2 +25% Lezgin @ 10.291122
9 50% Sardinian +25% Gokhem2 +25% Lezgin @ 10.695425
10 50% Lezgin +25% Gokhem2 +25% Sardinian @ 11.249823
11 50% Gokhem7 +25% Lezgin +25% Yemenite_Jewish @ 11.548756
12 50% Gokhem2 +25% Lezgin +25% Sardinian @ 11.598837
13 50% Sardinian +25% La_Brana-1 +25% Lezgin @ 11.874476
14 50% Sardinian +25% Gokhem7 +25% Lezgin @ 11.923957
15 50% Sardinian +25% Ajvide70 +25% Lezgin @ 12.052634
16 50% Sardinian +25% Ajvide58 +25% Lezgin @ 12.060376
17 50% Gokhem2 +25% Lezgin +25% Lezgin @ 12.373223
18 50% Sardinian +25% Lezgin +25% StoraFörvar11 @ 12.386485
2907 iterations.


Using 4 populations approximation:
1 Lezgin+Sardinian+Sardinian+Yemenite_Jewish @ 7.299756
2 Gokhem2+Lezgin+Sardinian+Yemenite_Jewish @ 7.859899
3 Gokhem2+Gokhem2+Lezgin+Yemenite_Jewish @ 8.421493
4 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 8.678235
5 Gokhem7+Lezgin+Sardinian+Yemenite_Jewish @ 8.797315
6 Lezgin+Lezgin+Sardinian+Yemenite_Jewish @ 9.243425
7 Ajvide58+Lezgin+Sardinian+Yemenite_Jewish @ 9.333103
8 Gokhem2+Gokhem7+Lezgin+Yemenite_Jewish @ 9.524748
9 Ajvide70+Lezgin+Sardinian+Yemenite_Jewish @ 9.526908
10 Gokhem2+La_Brana-1+Lezgin+Yemenite_Jewish @ 9.674056
11 Lezgin+Sardinian+Sardinian+Sardinian @ 9.888393
12 Lezgin+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 10.042384
13 Gokhem2+Lezgin+Lezgin+Yemenite_Jewish @ 10.053448
14 Lezgin+Lezgin+Sardinian+Sardinian @ 10.223295
15 Gokhem2+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 10.291122
16 Ajvide58+Gokhem2+Lezgin+Yemenite_Jewish @ 10.321419
17 Lezgin+Sardinian+StoraFörvar11+Yemenite_Jewish @ 10.345835
18 Ajvide70+Gokhem2+Lezgin+Yemenite_Jewish @ 10.547738
19 Gokhem2+Lezgin+Sardinian+Sardinian @ 10.695425
20 Gokhem7+La_Brana-1+Lezgin+Yemenite_Jewish @ 10.747787
21 Gokhem2+Lezgin+StoraFörvar11+Yemenite_Jewish @ 11.24698
22 Gokhem2+Lezgin+Lezgin+Sardinian @ 11.249823
23 Gokhem7+Gokhem7+Lezgin+Yemenite_Jewish @ 11.548756
24 Gokhem2+Gokhem2+Lezgin+Sardinian @ 11.598837
25 Ajvide58+Gokhem7+Lezgin+Yemenite_Jewish @ 11.824043
26 La_Brana-1+Lezgin+Sardinian+Sardinian @ 11.874476
27 Gokhem7+Lezgin+Sardinian+Sardinian @ 11.923957
28 Ajvide70+Lezgin+Sardinian+Sardinian @ 12.052634
29 Ajvide58+Lezgin+Sardinian+Sardinian @ 12.060376
30 Ajvide70+Gokhem7+Lezgin+Yemenite_Jewish @ 12.185633
31 Lezgin+Sakilli+Sardinian+Yemenite_Jewish @ 12.222464
32 Gokhem2+Gokhem2+Lezgin+Lezgin @ 12.373223
33 Lezgin+Sardinian+Sardinian+StoraFörvar11 @ 12.386485
34 Ethiopian_Ari_cultivator+Lezgin+Sardinian+Yemenite _Jewish @ 12.399047
35 Lezgin+MA-1+Sardinian+Yemenite_Jewish @ 12.425575
36 Ethiopian_Ari_cultivator+Lezgin+Sardinian+Sardinia n @ 12.469024
5985 iterations.

John Doe
20-07-14, 11:49
Least-squares method.


Using 1 population approximation:
1 Gokhem2 @ 35.337257
2 Sardinian @ 38.41964
3 Lezgin @ 39.992311
4 Yemenite_Jewish @ 43.354378
5 Gokhem7 @ 44.442959
6 La_Brana-1 @ 46.185623
7 Ajvide58 @ 48.967621
8 Ajvide70 @ 49.88405
9 StoraFörvar11 @ 53.054163
10 MA-1 @ 63.126545
11 Australian_Aboriginal @ 82.008515
12 Ethiopian_Ari_cultivator @ 86.977395
13 Sakilli @ 88.532094
14 Evens @ 90.601332
15 Dai @ 99.597661
16 Anzick-1 @ 99.850216
17 Papuan @ 103.20689
18 Yoruban @ 104.254636
18 iterations.


Using 2 populations approximation:
1 Lezgin+Sardinian @ 19.019266
2 Gokhem2+Yemenite_Jewish @ 20.373897
3 Gokhem2+Lezgin @ 20.663276
4 Gokhem7+Yemenite_Jewish @ 22.038607
5 Sardinian+Yemenite_Jewish @ 24.138967
6 La_Brana-1+Yemenite_Jewish @ 24.42464
7 Lezgin+Yemenite_Jewish @ 25.78679
8 Ajvide58+Yemenite_Jewish @ 26.560872
9 Ajvide70+Yemenite_Jewish @ 27.252597
10 Gokhem7+Lezgin @ 28.985336
11 La_Brana-1+Sardinian @ 29.496852
12 StoraFörvar11+Yemenite_Jewish @ 29.959647
13 Ajvide58+Sardinian @ 30.41842
14 Ajvide70+Sardinian @ 30.644203
15 Sardinian+StoraFörvar11 @ 31.906815
16 La_Brana-1+Lezgin @ 33.077375
17 Gokhem2+La_Brana-1 @ 33.477768
18 Ajvide58+Gokhem2 @ 34.372388
171 iterations.


Using 3 populations approximation:
1 50% Gokhem2 +25% Lezgin +25% Yemenite_Jewish @ 12.345023
2 50% Sardinian +25% Lezgin +25% Yemenite_Jewish @ 14.268053
3 50% Lezgin +25% Sardinian +25% Yemenite_Jewish @ 15.477696
4 50% Lezgin +25% Gokhem2 +25% Yemenite_Jewish @ 16.084098
5 50% Yemenite_Jewish +25% Gokhem2 +25% Lezgin @ 17.051584
6 50% Yemenite_Jewish +25% Lezgin +25% Sardinian @ 18.161099
7 50% Yemenite_Jewish +25% Gokhem7 +25% Lezgin @ 18.399636
8 50% Yemenite_Jewish +25% La_Brana-1 +25% Sardinian @ 18.867826
9 50% Lezgin +25% Sardinian +25% Sardinian @ 19.019266
10 50% Yemenite_Jewish +25% Gokhem2 +25% La_Brana-1 @ 19.060178
11 50% Sardinian +25% La_Brana-1 +25% Yemenite_Jewish @ 19.337231
12 50% Lezgin +25% Gokhem2 +25% Sardinian @ 19.406832
13 50% Yemenite_Jewish +25% Gokhem7 +25% La_Brana-1 @ 19.610254
14 50% Yemenite_Jewish +25% Ajvide58 +25% Sardinian @ 19.777962
15 50% Lezgin +25% Gokhem7 +25% Yemenite_Jewish @ 19.802319
16 50% Gokhem7 +25% Lezgin +25% Yemenite_Jewish @ 19.856767
17 50% Sardinian +25% Ajvide58 +25% Yemenite_Jewish @ 19.891612
18 50% Yemenite_Jewish +25% Ajvide58 +25% Gokhem2 @ 19.995858
2727 iterations.


Using 4 populations approximation:
1 Gokhem2+Gokhem2+Lezgin+Yemenite_Jewish @ 12.345023
2 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 12.510365
3 Gokhem2+Lezgin+Sardinian+Yemenite_Jewish @ 12.659457
4 Ajvide58+Lezgin+Sardinian+Yemenite_Jewish @ 14.166347
5 Lezgin+Sardinian+Sardinian+Yemenite_Jewish @ 14.268053
6 Ajvide70+Lezgin+Sardinian+Yemenite_Jewish @ 14.470286
7 Gokhem2+La_Brana-1+Lezgin+Yemenite_Jewish @ 14.900097
8 Gokhem7+Lezgin+Sardinian+Yemenite_Jewish @ 15.397596
9 Lezgin+Lezgin+Sardinian+Yemenite_Jewish @ 15.477696
10 Gokhem2+Gokhem7+Lezgin+Yemenite_Jewish @ 15.56267
11 Gokhem2+Lezgin+Lezgin+Yemenite_Jewish @ 16.084098
12 Ajvide58+Gokhem2+Lezgin+Yemenite_Jewish @ 16.357264
13 Lezgin+Sardinian+StoraFörvar11+Yemenite_Jewish @ 16.528323
14 Ajvide70+Gokhem2+Lezgin+Yemenite_Jewish @ 16.677061
15 Gokhem2+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 17.051584
16 Gokhem7+La_Brana-1+Lezgin+Yemenite_Jewish @ 18.136376
17 Lezgin+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 18.161099
18 Gokhem2+Lezgin+StoraFörvar11+Yemenite_Jewish @ 18.320771
19 Gokhem7+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 18.399636
20 La_Brana-1+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 18.867826
21 Lezgin+Lezgin+Sardinian+Sardinian @ 19.019266
22 Gokhem2+La_Brana-1+Yemenite_Jewish+Yemenite_Jewish @ 19.060178
23 La_Brana-1+Sardinian+Sardinian+Yemenite_Jewish @ 19.337231
24 Gokhem2+Lezgin+Lezgin+Sardinian @ 19.406832
25 Gokhem2+La_Brana-1+Sardinian+Yemenite_Jewish @ 19.41591
26 Gokhem7+La_Brana-1+Yemenite_Jewish+Yemenite_Jewish @ 19.610254
27 Ajvide58+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 19.777962
28 Gokhem7+Lezgin+Lezgin+Yemenite_Jewish @ 19.802319
29 Gokhem7+Gokhem7+Lezgin+Yemenite_Jewish @ 19.856767
30 Ajvide58+Sardinian+Sardinian+Yemenite_Jewish @ 19.891612
31 Ajvide58+Gokhem2+Yemenite_Jewish+Yemenite_Jewish @ 19.995858
32 Ajvide58+Gokhem2+Sardinian+Yemenite_Jewish @ 20.002407
33 Ajvide58+Gokhem7+Lezgin+Yemenite_Jewish @ 20.010079
34 Ajvide70+Sardinian+Sardinian+Yemenite_Jewish @ 20.013793
35 Ajvide70+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 20.047513
36 Ajvide70+Gokhem2+Sardinian+Yemenite_Jewish @ 20.170089
5632 iterations.




Gaussian method.
Noise dispersion set to 0.33296


Using 1 population approximation:
1 Sardinian @ 22.170796
2 Lezgin @ 28.981896
3 Yemenite_Jewish @ 32.6068
4 Gokhem7 @ 36.262904
5 Sakilli @ 52.608282
6 Gokhem2 @ 53.297857
7 Ethiopian_Ari_cultivator @ 67.100737
8 Evens @ 72.253118
9 Ajvide58 @ 102.935188
10 Dai @ 103.133587
11 La_Brana-1 @ 109.58105
12 Ajvide70 @ 109.737592
13 StoraFörvar11 @ 110.034378
14 Yoruban @ 123.027621
15 Australian_Aboriginal @ 123.57898
16 MA-1 @ 125.293028
17 Anzick-1 @ 128.857966
18 Papuan @ 129.346747
18 iterations.


Using 2 populations approximation:
1 Lezgin+Sardinian @ 10.223295
2 Gokhem2+Lezgin @ 12.373223
3 Gokhem7+Yemenite_Jewish @ 13.842293
4 Sardinian+Yemenite_Jewish @ 13.8527
5 Gokhem2+Yemenite_Jewish @ 14.700941
6 Gokhem7+Sardinian @ 17.351115
7 La_Brana-1+Yemenite_Jewish @ 18.384557
8 Gokhem7+Lezgin @ 18.684653
9 Ajvide58+Yemenite_Jewish @ 18.982767
10 Lezgin+Yemenite_Jewish @ 19.159189
11 Sakilli+Sardinian @ 19.376618
12 Ajvide70+Yemenite_Jewish @ 19.752677
13 Gokhem2+Gokhem7 @ 21.372057
14 StoraFörvar11+Yemenite_Jewish @ 22.049654
15 Sardinian+Sardinian @ 22.170796
16 Gokhem2+Sakilli @ 22.735193
17 Ethiopian_Ari_cultivator+Sardinian @ 24.570443
18 Evens+Sardinian @ 27.878677
171 iterations.


Using 3 populations approximation:
1 50% Sardinian +25% Lezgin +25% Yemenite_Jewish @ 7.299756
2 50% Gokhem2 +25% Lezgin +25% Yemenite_Jewish @ 8.421493
3 50% Lezgin +25% Sardinian +25% Yemenite_Jewish @ 9.243425
4 50% Sardinian +25% Lezgin +25% Sardinian @ 9.888393
5 50% Yemenite_Jewish +25% Lezgin +25% Sardinian @ 10.042384
6 50% Lezgin +25% Gokhem2 +25% Yemenite_Jewish @ 10.053448
7 50% Lezgin +25% Sardinian +25% Sardinian @ 10.223295
8 50% Yemenite_Jewish +25% Gokhem2 +25% Lezgin @ 10.291122
9 50% Sardinian +25% Gokhem2 +25% Lezgin @ 10.695425
10 50% Lezgin +25% Gokhem2 +25% Sardinian @ 11.249823
11 50% Gokhem7 +25% Lezgin +25% Yemenite_Jewish @ 11.548756
12 50% Gokhem2 +25% Lezgin +25% Sardinian @ 11.598837
13 50% Sardinian +25% La_Brana-1 +25% Lezgin @ 11.874476
14 50% Sardinian +25% Gokhem7 +25% Lezgin @ 11.923957
15 50% Sardinian +25% Ajvide70 +25% Lezgin @ 12.052634
16 50% Sardinian +25% Ajvide58 +25% Lezgin @ 12.060376
17 50% Gokhem2 +25% Lezgin +25% Lezgin @ 12.373223
18 50% Sardinian +25% Lezgin +25% StoraFörvar11 @ 12.386485
2907 iterations.


Using 4 populations approximation:
1 Lezgin+Sardinian+Sardinian+Yemenite_Jewish @ 7.299756
2 Gokhem2+Lezgin+Sardinian+Yemenite_Jewish @ 7.859899
3 Gokhem2+Gokhem2+Lezgin+Yemenite_Jewish @ 8.421493
4 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 8.678235
5 Gokhem7+Lezgin+Sardinian+Yemenite_Jewish @ 8.797315
6 Lezgin+Lezgin+Sardinian+Yemenite_Jewish @ 9.243425
7 Ajvide58+Lezgin+Sardinian+Yemenite_Jewish @ 9.333103
8 Gokhem2+Gokhem7+Lezgin+Yemenite_Jewish @ 9.524748
9 Ajvide70+Lezgin+Sardinian+Yemenite_Jewish @ 9.526908
10 Gokhem2+La_Brana-1+Lezgin+Yemenite_Jewish @ 9.674056
11 Lezgin+Sardinian+Sardinian+Sardinian @ 9.888393
12 Lezgin+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 10.042384
13 Gokhem2+Lezgin+Lezgin+Yemenite_Jewish @ 10.053448
14 Lezgin+Lezgin+Sardinian+Sardinian @ 10.223295
15 Gokhem2+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 10.291122
16 Ajvide58+Gokhem2+Lezgin+Yemenite_Jewish @ 10.321419
17 Lezgin+Sardinian+StoraFörvar11+Yemenite_Jewish @ 10.345835
18 Ajvide70+Gokhem2+Lezgin+Yemenite_Jewish @ 10.547738
19 Gokhem2+Lezgin+Sardinian+Sardinian @ 10.695425
20 Gokhem7+La_Brana-1+Lezgin+Yemenite_Jewish @ 10.747787
21 Gokhem2+Lezgin+StoraFörvar11+Yemenite_Jewish @ 11.24698
22 Gokhem2+Lezgin+Lezgin+Sardinian @ 11.249823
23 Gokhem7+Gokhem7+Lezgin+Yemenite_Jewish @ 11.548756
24 Gokhem2+Gokhem2+Lezgin+Sardinian @ 11.598837
25 Ajvide58+Gokhem7+Lezgin+Yemenite_Jewish @ 11.824043
26 La_Brana-1+Lezgin+Sardinian+Sardinian @ 11.874476
27 Gokhem7+Lezgin+Sardinian+Sardinian @ 11.923957
28 Ajvide70+Lezgin+Sardinian+Sardinian @ 12.052634
29 Ajvide58+Lezgin+Sardinian+Sardinian @ 12.060376
30 Ajvide70+Gokhem7+Lezgin+Yemenite_Jewish @ 12.185633
31 Lezgin+Sakilli+Sardinian+Yemenite_Jewish @ 12.222464
32 Gokhem2+Gokhem2+Lezgin+Lezgin @ 12.373223
33 Lezgin+Sardinian+Sardinian+StoraFörvar11 @ 12.386485
34 Ethiopian_Ari_cultivator+Lezgin+Sardinian+Yemenite _Jewish @ 12.399047
35 Lezgin+MA-1+Sardinian+Yemenite_Jewish @ 12.425575
36 Ethiopian_Ari_cultivator+Lezgin+Sardinian+Sardinia n @ 12.469024
5985 iterations.

Very interesting. Who are the Gokhem people?
Is this method reliable? If it is, then, it's very interesting, not entirely surprising, but interesting, unfortunately, I know that when it comes to Gedmatch, the results need to be interpreted, and I'm not sure how to interpret my results, do you know how to?
In any event, thanks. :)

Sile
20-07-14, 12:15
Least-squares method.


Using 1 population approximation:
1 Gokhem2 @ 35.337257
2 Sardinian @ 38.41964
3 Lezgin @ 39.992311
4 Yemenite_Jewish @ 43.354378
5 Gokhem7 @ 44.442959
6 La_Brana-1 @ 46.185623
7 Ajvide58 @ 48.967621
8 Ajvide70 @ 49.88405
9 StoraFörvar11 @ 53.054163
10 MA-1 @ 63.126545
11 Australian_Aboriginal @ 82.008515
12 Ethiopian_Ari_cultivator @ 86.977395
13 Sakilli @ 88.532094
14 Evens @ 90.601332
15 Dai @ 99.597661
16 Anzick-1 @ 99.850216
17 Papuan @ 103.20689
18 Yoruban @ 104.254636
18 iterations.


Using 2 populations approximation:
1 Lezgin+Sardinian @ 19.019266
2 Gokhem2+Yemenite_Jewish @ 20.373897
3 Gokhem2+Lezgin @ 20.663276
4 Gokhem7+Yemenite_Jewish @ 22.038607
5 Sardinian+Yemenite_Jewish @ 24.138967
6 La_Brana-1+Yemenite_Jewish @ 24.42464
7 Lezgin+Yemenite_Jewish @ 25.78679
8 Ajvide58+Yemenite_Jewish @ 26.560872
9 Ajvide70+Yemenite_Jewish @ 27.252597
10 Gokhem7+Lezgin @ 28.985336
11 La_Brana-1+Sardinian @ 29.496852
12 StoraFörvar11+Yemenite_Jewish @ 29.959647
13 Ajvide58+Sardinian @ 30.41842
14 Ajvide70+Sardinian @ 30.644203
15 Sardinian+StoraFörvar11 @ 31.906815
16 La_Brana-1+Lezgin @ 33.077375
17 Gokhem2+La_Brana-1 @ 33.477768
18 Ajvide58+Gokhem2 @ 34.372388
171 iterations.


Using 3 populations approximation:
1 50% Gokhem2 +25% Lezgin +25% Yemenite_Jewish @ 12.345023
2 50% Sardinian +25% Lezgin +25% Yemenite_Jewish @ 14.268053
3 50% Lezgin +25% Sardinian +25% Yemenite_Jewish @ 15.477696
4 50% Lezgin +25% Gokhem2 +25% Yemenite_Jewish @ 16.084098
5 50% Yemenite_Jewish +25% Gokhem2 +25% Lezgin @ 17.051584
6 50% Yemenite_Jewish +25% Lezgin +25% Sardinian @ 18.161099
7 50% Yemenite_Jewish +25% Gokhem7 +25% Lezgin @ 18.399636
8 50% Yemenite_Jewish +25% La_Brana-1 +25% Sardinian @ 18.867826
9 50% Lezgin +25% Sardinian +25% Sardinian @ 19.019266
10 50% Yemenite_Jewish +25% Gokhem2 +25% La_Brana-1 @ 19.060178
11 50% Sardinian +25% La_Brana-1 +25% Yemenite_Jewish @ 19.337231
12 50% Lezgin +25% Gokhem2 +25% Sardinian @ 19.406832
13 50% Yemenite_Jewish +25% Gokhem7 +25% La_Brana-1 @ 19.610254
14 50% Yemenite_Jewish +25% Ajvide58 +25% Sardinian @ 19.777962
15 50% Lezgin +25% Gokhem7 +25% Yemenite_Jewish @ 19.802319
16 50% Gokhem7 +25% Lezgin +25% Yemenite_Jewish @ 19.856767
17 50% Sardinian +25% Ajvide58 +25% Yemenite_Jewish @ 19.891612
18 50% Yemenite_Jewish +25% Ajvide58 +25% Gokhem2 @ 19.995858
2727 iterations.


Using 4 populations approximation:
1 Gokhem2+Gokhem2+Lezgin+Yemenite_Jewish @ 12.345023
2 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 12.510365
3 Gokhem2+Lezgin+Sardinian+Yemenite_Jewish @ 12.659457
4 Ajvide58+Lezgin+Sardinian+Yemenite_Jewish @ 14.166347
5 Lezgin+Sardinian+Sardinian+Yemenite_Jewish @ 14.268053
6 Ajvide70+Lezgin+Sardinian+Yemenite_Jewish @ 14.470286
7 Gokhem2+La_Brana-1+Lezgin+Yemenite_Jewish @ 14.900097
8 Gokhem7+Lezgin+Sardinian+Yemenite_Jewish @ 15.397596
9 Lezgin+Lezgin+Sardinian+Yemenite_Jewish @ 15.477696
10 Gokhem2+Gokhem7+Lezgin+Yemenite_Jewish @ 15.56267
11 Gokhem2+Lezgin+Lezgin+Yemenite_Jewish @ 16.084098
12 Ajvide58+Gokhem2+Lezgin+Yemenite_Jewish @ 16.357264
13 Lezgin+Sardinian+StoraFörvar11+Yemenite_Jewish @ 16.528323
14 Ajvide70+Gokhem2+Lezgin+Yemenite_Jewish @ 16.677061
15 Gokhem2+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 17.051584
16 Gokhem7+La_Brana-1+Lezgin+Yemenite_Jewish @ 18.136376
17 Lezgin+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 18.161099
18 Gokhem2+Lezgin+StoraFörvar11+Yemenite_Jewish @ 18.320771
19 Gokhem7+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 18.399636
20 La_Brana-1+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 18.867826
21 Lezgin+Lezgin+Sardinian+Sardinian @ 19.019266
22 Gokhem2+La_Brana-1+Yemenite_Jewish+Yemenite_Jewish @ 19.060178
23 La_Brana-1+Sardinian+Sardinian+Yemenite_Jewish @ 19.337231
24 Gokhem2+Lezgin+Lezgin+Sardinian @ 19.406832
25 Gokhem2+La_Brana-1+Sardinian+Yemenite_Jewish @ 19.41591
26 Gokhem7+La_Brana-1+Yemenite_Jewish+Yemenite_Jewish @ 19.610254
27 Ajvide58+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 19.777962
28 Gokhem7+Lezgin+Lezgin+Yemenite_Jewish @ 19.802319
29 Gokhem7+Gokhem7+Lezgin+Yemenite_Jewish @ 19.856767
30 Ajvide58+Sardinian+Sardinian+Yemenite_Jewish @ 19.891612
31 Ajvide58+Gokhem2+Yemenite_Jewish+Yemenite_Jewish @ 19.995858
32 Ajvide58+Gokhem2+Sardinian+Yemenite_Jewish @ 20.002407
33 Ajvide58+Gokhem7+Lezgin+Yemenite_Jewish @ 20.010079
34 Ajvide70+Sardinian+Sardinian+Yemenite_Jewish @ 20.013793
35 Ajvide70+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 20.047513
36 Ajvide70+Gokhem2+Sardinian+Yemenite_Jewish @ 20.170089
5632 iterations.




Gaussian method.
Noise dispersion set to 0.33296


Using 1 population approximation:
1 Sardinian @ 22.170796
2 Lezgin @ 28.981896
3 Yemenite_Jewish @ 32.6068
4 Gokhem7 @ 36.262904
5 Sakilli @ 52.608282
6 Gokhem2 @ 53.297857
7 Ethiopian_Ari_cultivator @ 67.100737
8 Evens @ 72.253118
9 Ajvide58 @ 102.935188
10 Dai @ 103.133587
11 La_Brana-1 @ 109.58105
12 Ajvide70 @ 109.737592
13 StoraFörvar11 @ 110.034378
14 Yoruban @ 123.027621
15 Australian_Aboriginal @ 123.57898
16 MA-1 @ 125.293028
17 Anzick-1 @ 128.857966
18 Papuan @ 129.346747
18 iterations.


Using 2 populations approximation:
1 Lezgin+Sardinian @ 10.223295
2 Gokhem2+Lezgin @ 12.373223
3 Gokhem7+Yemenite_Jewish @ 13.842293
4 Sardinian+Yemenite_Jewish @ 13.8527
5 Gokhem2+Yemenite_Jewish @ 14.700941
6 Gokhem7+Sardinian @ 17.351115
7 La_Brana-1+Yemenite_Jewish @ 18.384557
8 Gokhem7+Lezgin @ 18.684653
9 Ajvide58+Yemenite_Jewish @ 18.982767
10 Lezgin+Yemenite_Jewish @ 19.159189
11 Sakilli+Sardinian @ 19.376618
12 Ajvide70+Yemenite_Jewish @ 19.752677
13 Gokhem2+Gokhem7 @ 21.372057
14 StoraFörvar11+Yemenite_Jewish @ 22.049654
15 Sardinian+Sardinian @ 22.170796
16 Gokhem2+Sakilli @ 22.735193
17 Ethiopian_Ari_cultivator+Sardinian @ 24.570443
18 Evens+Sardinian @ 27.878677
171 iterations.


Using 3 populations approximation:
1 50% Sardinian +25% Lezgin +25% Yemenite_Jewish @ 7.299756
2 50% Gokhem2 +25% Lezgin +25% Yemenite_Jewish @ 8.421493
3 50% Lezgin +25% Sardinian +25% Yemenite_Jewish @ 9.243425
4 50% Sardinian +25% Lezgin +25% Sardinian @ 9.888393
5 50% Yemenite_Jewish +25% Lezgin +25% Sardinian @ 10.042384
6 50% Lezgin +25% Gokhem2 +25% Yemenite_Jewish @ 10.053448
7 50% Lezgin +25% Sardinian +25% Sardinian @ 10.223295
8 50% Yemenite_Jewish +25% Gokhem2 +25% Lezgin @ 10.291122
9 50% Sardinian +25% Gokhem2 +25% Lezgin @ 10.695425
10 50% Lezgin +25% Gokhem2 +25% Sardinian @ 11.249823
11 50% Gokhem7 +25% Lezgin +25% Yemenite_Jewish @ 11.548756
12 50% Gokhem2 +25% Lezgin +25% Sardinian @ 11.598837
13 50% Sardinian +25% La_Brana-1 +25% Lezgin @ 11.874476
14 50% Sardinian +25% Gokhem7 +25% Lezgin @ 11.923957
15 50% Sardinian +25% Ajvide70 +25% Lezgin @ 12.052634
16 50% Sardinian +25% Ajvide58 +25% Lezgin @ 12.060376
17 50% Gokhem2 +25% Lezgin +25% Lezgin @ 12.373223
18 50% Sardinian +25% Lezgin +25% StoraFörvar11 @ 12.386485
2907 iterations.


Using 4 populations approximation:
1 Lezgin+Sardinian+Sardinian+Yemenite_Jewish @ 7.299756
2 Gokhem2+Lezgin+Sardinian+Yemenite_Jewish @ 7.859899
3 Gokhem2+Gokhem2+Lezgin+Yemenite_Jewish @ 8.421493
4 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 8.678235
5 Gokhem7+Lezgin+Sardinian+Yemenite_Jewish @ 8.797315
6 Lezgin+Lezgin+Sardinian+Yemenite_Jewish @ 9.243425
7 Ajvide58+Lezgin+Sardinian+Yemenite_Jewish @ 9.333103
8 Gokhem2+Gokhem7+Lezgin+Yemenite_Jewish @ 9.524748
9 Ajvide70+Lezgin+Sardinian+Yemenite_Jewish @ 9.526908
10 Gokhem2+La_Brana-1+Lezgin+Yemenite_Jewish @ 9.674056
11 Lezgin+Sardinian+Sardinian+Sardinian @ 9.888393
12 Lezgin+Sardinian+Yemenite_Jewish+Yemenite_Jewish @ 10.042384
13 Gokhem2+Lezgin+Lezgin+Yemenite_Jewish @ 10.053448
14 Lezgin+Lezgin+Sardinian+Sardinian @ 10.223295
15 Gokhem2+Lezgin+Yemenite_Jewish+Yemenite_Jewish @ 10.291122
16 Ajvide58+Gokhem2+Lezgin+Yemenite_Jewish @ 10.321419
17 Lezgin+Sardinian+StoraFörvar11+Yemenite_Jewish @ 10.345835
18 Ajvide70+Gokhem2+Lezgin+Yemenite_Jewish @ 10.547738
19 Gokhem2+Lezgin+Sardinian+Sardinian @ 10.695425
20 Gokhem7+La_Brana-1+Lezgin+Yemenite_Jewish @ 10.747787
21 Gokhem2+Lezgin+StoraFörvar11+Yemenite_Jewish @ 11.24698
22 Gokhem2+Lezgin+Lezgin+Sardinian @ 11.249823
23 Gokhem7+Gokhem7+Lezgin+Yemenite_Jewish @ 11.548756
24 Gokhem2+Gokhem2+Lezgin+Sardinian @ 11.598837
25 Ajvide58+Gokhem7+Lezgin+Yemenite_Jewish @ 11.824043
26 La_Brana-1+Lezgin+Sardinian+Sardinian @ 11.874476
27 Gokhem7+Lezgin+Sardinian+Sardinian @ 11.923957
28 Ajvide70+Lezgin+Sardinian+Sardinian @ 12.052634
29 Ajvide58+Lezgin+Sardinian+Sardinian @ 12.060376
30 Ajvide70+Gokhem7+Lezgin+Yemenite_Jewish @ 12.185633
31 Lezgin+Sakilli+Sardinian+Yemenite_Jewish @ 12.222464
32 Gokhem2+Gokhem2+Lezgin+Lezgin @ 12.373223
33 Lezgin+Sardinian+Sardinian+StoraFörvar11 @ 12.386485
34 Ethiopian_Ari_cultivator+Lezgin+Sardinian+Yemenite _Jewish @ 12.399047
35 Lezgin+MA-1+Sardinian+Yemenite_Jewish @ 12.425575
36 Ethiopian_Ari_cultivator+Lezgin+Sardinian+Sardinia n @ 12.469024
5985 iterations.

do you mind doing this one below, I cannot seem to get it to work

North_Sea 14.03%
Atlantic 23.96%
Baltic 9.59%
Eastern_Euro 7.90%
West_Med 18.23%
West_Asian 8.40%
East_Med 13.74%
Red_Sea 2.52%
South_Asian 0.80%
Southeast_Asian 0.15%
Siberian -
Amerindian -
Oceanian 0.10%
Northeast_African -
Sub-Saharan 0.57%

AgnusDei
20-07-14, 20:42
do you mind doing this one below, I cannot seem to get it to work

North_Sea 14.03%
Atlantic 23.96%
Baltic 9.59%
Eastern_Euro 7.90%
West_Med 18.23%
West_Asian 8.40%
East_Med 13.74%
Red_Sea 2.52%
South_Asian 0.80%
Southeast_Asian 0.15%
Siberian -
Amerindian -
Oceanian 0.10%
Northeast_African -
Sub-Saharan 0.57%

Here you are :

Using 1 population approximation:
1 Gokhem2 @ 25.478862
2 La_Brana-1 @ 32.80802
3 Sardinian @ 33.892383
4 Gokhem7 @ 34.524995
5 Ajvide58 @ 36.202466
6 Ajvide70 @ 37.818697
7 StoraFörvar11 @ 41.612706
8 Lezgin @ 45.645726
9 MA-1 @ 57.367483
10 Yemenite_Jewish @ 57.939831
11 Australian_Aboriginal @ 80.939088
12 Sakilli @ 87.407328
13 Ethiopian_Ari_cultivator @ 87.4366
14 Evens @ 89.685591
15 Anzick-1 @ 98.855745
16 Dai @ 99.309376
17 Papuan @ 102.412237
18 Yoruban @ 102.994126
18 iterations.


Using 2 populations approximation:
1 La_Brana-1+Sardinian @ 13.341811
2 Ajvide58+Sardinian @ 14.764417
3 Ajvide70+Sardinian @ 15.693863
4 Gokhem2+La_Brana-1 @ 17.105949
5 Sardinian+StoraFörvar11 @ 17.685977
6 Ajvide58+Gokhem2 @ 18.386998
7 Gokhem2+Lezgin @ 19.216398
8 Ajvide70+Gokhem2 @ 19.334763
9 Gokhem2+StoraFörvar11 @ 20.377671
10 Lezgin+Sardinian @ 20.979003
11 Gokhem7+La_Brana-1 @ 22.536472
12 Gokhem2+Gokhem2 @ 25.478862
13 Ajvide58+Gokhem7 @ 25.633428
14 Gokhem7+Lezgin @ 26.279701
15 Ajvide70+Gokhem7 @ 26.942024
16 Gokhem7+StoraFörvar11 @ 27.187696
17 Gokhem2+Gokhem7 @ 28.2131
18 La_Brana-1+Yemenite_Jewish @ 28.406006
171 iterations.


Using 3 populations approximation:
1 50% Sardinian +25% La_Brana-1 +25% Lezgin @ 10.771598
2 50% Gokhem2 +25% La_Brana-1 +25% Lezgin @ 11.743416
3 50% Sardinian +25% Ajvide58 +25% Lezgin @ 11.796707
4 50% Sardinian +25% Ajvide70 +25% Lezgin @ 12.217527
5 50% Gokhem2 +25% Ajvide58 +25% Lezgin @ 12.797845
6 50% Gokhem2 +25% Ajvide70 +25% Lezgin @ 13.327098
7 50% La_Brana-1 +25% Sardinian +25% Sardinian @ 13.341811
8 50% Sardinian +25% Ajvide58 +25% La_Brana-1 @ 13.692668
9 50% Sardinian +25% Lezgin +25% StoraFörvar11 @ 13.705801
10 50% Sardinian +25% Ajvide70 +25% La_Brana-1 @ 13.924122
11 50% La_Brana-1 +25% Lezgin +25% Sardinian @ 14.103551
12 50% Gokhem2 +25% Lezgin +25% StoraFörvar11 @ 14.270688
13 50% La_Brana-1 +25% Gokhem2 +25% Sardinian @ 14.750664
14 50% Ajvide58 +25% Sardinian +25% Sardinian @ 14.764417
15 50% La_Brana-1 +25% Sardinian +25% Yemenite_Jewish @ 14.787364
16 50% Sardinian +25% La_Brana-1 +25% StoraFörvar11 @ 14.859649
17 50% Gokhem2 +25% La_Brana-1 +25% Yemenite_Jewish @ 14.861839
18 50% Sardinian +25% Ajvide58 +25% Ajvide70 @ 15.142542
1902 iterations.


Using 4 populations approximation:
1 Gokhem2+La_Brana-1+Lezgin+Sardinian @ 10.45184
2 La_Brana-1+Lezgin+Sardinian+Sardinian @ 10.771598
3 Ajvide58+Gokhem2+Lezgin+Sardinian @ 11.564902
4 Gokhem2+Gokhem2+La_Brana-1+Lezgin @ 11.743416
5 Ajvide58+Lezgin+Sardinian+Sardinian @ 11.796707
6 Ajvide70+Gokhem2+Lezgin+Sardinian @ 12.07117
7 Ajvide70+Lezgin+Sardinian+Sardinian @ 12.217527
8 Ajvide58+Gokhem2+Gokhem2+Lezgin @ 12.797845
9 Ajvide70+Gokhem2+Gokhem2+Lezgin @ 13.327098
10 La_Brana-1+La_Brana-1+Sardinian+Sardinian @ 13.341811
11 Gokhem2+Lezgin+Sardinian+StoraFörvar11 @ 13.34257
12 Ajvide58+La_Brana-1+Sardinian+Sardinian @ 13.692668
13 Lezgin+Sardinian+Sardinian+StoraFörvar11 @ 13.705801
14 Ajvide70+La_Brana-1+Sardinian+Sardinian @ 13.924122
15 La_Brana-1+La_Brana-1+Lezgin+Sardinian @ 14.103551
16 Gokhem7+La_Brana-1+Lezgin+Sardinian @ 14.116557
17 Gokhem2+Gokhem2+Lezgin+StoraFörvar11 @ 14.270688
18 Gokhem2+La_Brana-1+La_Brana-1+Sardinian @ 14.750664
19 Ajvide58+Ajvide58+Sardinian+Sardinian @ 14.764417
20 La_Brana-1+La_Brana-1+Sardinian+Yemenite_Jewish @ 14.787364
21 La_Brana-1+Sardinian+Sardinian+StoraFörvar11 @ 14.859649
22 Gokhem2+Gokhem2+La_Brana-1+Yemenite_Jewish @ 14.861839
23 Ajvide58+Gokhem2+La_Brana-1+Sardinian @ 15.114177
24 Ajvide58+Ajvide70+Sardinian+Sardinian @ 15.142542
25 Ajvide58+La_Brana-1+Lezgin+Sardinian @ 15.192887
26 Ajvide70+Gokhem2+La_Brana-1+Sardinian @ 15.384762
27 Ajvide58+Gokhem2+Gokhem2+Yemenite_Jewish @ 15.419081
28 Gokhem2+Gokhem7+La_Brana-1+Yemenite_Jewish @ 15.435023
29 Gokhem2+Gokhem7+La_Brana-1+Lezgin @ 15.521503
30 Ajvide70+La_Brana-1+Lezgin+Sardinian @ 15.52559
31 Ajvide58+La_Brana-1+Sardinian+Yemenite_Jewish @ 15.542734
32 Ajvide70+Ajvide70+Sardinian+Sardinian @ 15.693863
33 Ajvide58+Gokhem7+Lezgin+Sardinian @ 15.802251
34 Gokhem2+La_Brana-1+Sardinian+Yemenite_Jewish @ 15.824523
35 Ajvide58+Sardinian+Sardinian+StoraFörvar11 @ 15.86823
36 Ajvide70+Gokhem2+Gokhem2+Yemenite_Jewish @ 15.925011
1916 iterations.




Gaussian method.
Noise dispersion set to 0.33296


Using 1 population approximation:
1 Sardinian @ 23.323383
2 Gokhem7 @ 30.438139
3 Lezgin @ 34.375346
4 Gokhem2 @ 38.002011
5 Yemenite_Jewish @ 52.223308
6 Sakilli @ 56.624904
7 Ajvide58 @ 62.178324
8 Evens @ 67.119248
9 Ethiopian_Ari_cultivator @ 72.826532
10 La_Brana-1 @ 78.226632
11 Ajvide70 @ 78.565171
12 StoraFörvar11 @ 79.168802
13 Dai @ 99.326551
14 MA-1 @ 109.779785
15 Australian_Aboriginal @ 115.083316
16 Anzick-1 @ 118.215176
17 Yoruban @ 122.924942
18 Papuan @ 126.857057
18 iterations.


Using 2 populations approximation:
1 Lezgin+Sardinian @ 9.74904
2 Gokhem2+Lezgin @ 10.235843
3 Gokhem7+Lezgin @ 13.739232
4 La_Brana-1+Sardinian @ 15.245836
5 Ajvide58+Sardinian @ 15.578256
6 Ajvide70+Sardinian @ 15.746155
7 Sardinian+StoraFörvar11 @ 16.074934
8 La_Brana-1+Yemenite_Jewish @ 19.062895
9 MA-1+Sardinian @ 19.596771
10 Ajvide58+Yemenite_Jewish @ 19.736548
11 Ajvide70+Yemenite_Jewish @ 20.817733
12 Gokhem2+Sakilli @ 21.162138
13 Sakilli+Sardinian @ 21.490881
14 Gokhem7+La_Brana-1 @ 22.20022
15 Ajvide58+Gokhem7 @ 22.862375
16 Gokhem7+Sardinian @ 23.096806
17 Ajvide70+Gokhem7 @ 23.166744
18 Sardinian+Sardinian @ 23.323383
171 iterations.


Using 3 populations approximation:
1 50% Sardinian +25% La_Brana-1 +25% Lezgin @ 7.334846
2 50% Sardinian +25% Ajvide58 +25% Lezgin @ 7.731493
3 50% Sardinian +25% Ajvide70 +25% Lezgin @ 7.993609
4 50% Sardinian +25% Lezgin +25% StoraFörvar11 @ 8.427504
5 50% Gokhem2 +25% La_Brana-1 +25% Lezgin @ 8.832669
6 50% La_Brana-1 +25% Lezgin +25% Sardinian @ 9.303499
7 50% Sardinian +25% Gokhem7 +25% Lezgin @ 9.304388
8 50% Gokhem2 +25% Ajvide58 +25% Lezgin @ 9.331013
9 50% Gokhem2 +25% Lezgin +25% Sardinian @ 9.504102
10 50% Sardinian +25% Gokhem2 +25% Lezgin @ 9.578594
11 50% Gokhem2 +25% Ajvide70 +25% Lezgin @ 9.647568
12 50% Sardinian +25% Lezgin +25% Sardinian @ 9.656996
13 50% Gokhem2 +25% Gokhem2 +25% Lezgin @ 9.663999
14 50% Lezgin +25% Sardinian +25% Sardinian @ 9.74904
15 50% Gokhem2 +25% Lezgin +25% StoraFörvar11 @ 9.877962
16 50% Lezgin +25% Gokhem2 +25% Sardinian @ 9.988076
17 50% Lezgin +25% La_Brana-1 +25% Sardinian @ 10.066248
18 50% Gokhem2 +25% Lezgin +25% Lezgin @ 10.235843
2907 iterations.


Using 4 populations approximation:
1 La_Brana-1+Lezgin+Sardinian+Sardinian @ 7.334846
2 Ajvide58+Lezgin+Sardinian+Sardinian @ 7.731493
3 Gokhem2+La_Brana-1+Lezgin+Sardinian @ 7.954137
4 Ajvide70+Lezgin+Sardinian+Sardinian @ 7.993609
5 Lezgin+Sardinian+Sardinian+StoraFörvar11 @ 8.427504
6 Ajvide58+Gokhem2+Lezgin+Sardinian @ 8.445408
7 Ajvide70+Gokhem2+Lezgin+Sardinian @ 8.761577
8 Gokhem2+Gokhem2+La_Brana-1+Lezgin @ 8.832669
9 Gokhem7+La_Brana-1+Lezgin+Sardinian @ 8.886532
10 Gokhem2+Lezgin+Sardinian+StoraFörvar11 @ 9.071859
11 La_Brana-1+La_Brana-1+Lezgin+Sardinian @ 9.303499
12 Gokhem7+Lezgin+Sardinian+Sardinian @ 9.304388
13 Ajvide58+Gokhem2+Gokhem2+Lezgin @ 9.331013
14 Gokhem2+Gokhem2+Lezgin+Sardinian @ 9.504102
15 Gokhem2+Lezgin+Sardinian+Sardinian @ 9.578594
16 Ajvide58+Gokhem7+Lezgin+Sardinian @ 9.634733
17 Ajvide70+Gokhem2+Gokhem2+Lezgin @ 9.647568
18 Lezgin+Sardinian+Sardinian+Sardinian @ 9.656996
19 Gokhem2+Gokhem2+Gokhem2+Lezgin @ 9.663999
20 Lezgin+Lezgin+Sardinian+Sardinian @ 9.74904
21 Gokhem2+Gokhem7+Lezgin+Sardinian @ 9.774319
22 Ajvide58+La_Brana-1+Lezgin+Sardinian @ 9.781369
23 Gokhem2+Gokhem2+Lezgin+StoraFörvar11 @ 9.877962
24 Gokhem2+Lezgin+Lezgin+Sardinian @ 9.988076
25 Ajvide70+Gokhem7+Lezgin+Sardinian @ 10.006788
26 Ajvide70+La_Brana-1+Lezgin+Sardinian @ 10.036824
27 La_Brana-1+Lezgin+Lezgin+Sardinian @ 10.066248
28 Gokhem2+Gokhem7+La_Brana-1+Lezgin @ 10.090188
29 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 10.158718
30 Gokhem2+Gokhem2+Lezgin+Lezgin @ 10.235843
31 Gokhem2+Gokhem2+Gokhem7+Lezgin @ 10.256015
32 Ajvide58+Ajvide58+Lezgin+Sardinian @ 10.266456
33 Gokhem7+La_Brana-1+Sardinian+Yemenite_Jewish @ 10.277908
34 La_Brana-1+Lezgin+Sardinian+StoraFörvar11 @ 10.422288
35 Gokhem7+Lezgin+Sardinian+StoraFörvar11 @ 10.452536
36 Ajvide58+Ajvide70+Lezgin+Sardinian @ 10.521217
5985 iterations.

AgnusDei
20-07-14, 20:46
Very interesting. Who are the Gokhem people?
Is this method reliable? If it is, then, it's very interesting, not entirely surprising, but interesting, unfortunately, I know that when it comes to Gedmatch, the results need to be interpreted, and I'm not sure how to interpret my results, do you know how to?
In any event, thanks. :)
Gokhem2 and Gokhem7 are/were Swedish farmers(Early European Farmers) .

EEF were supposedly Ancient Near Easterners(Basal Eurasian) +Western Hunter-gatherers.

http://dienekes.blogspot.com/2014/04/more-ancient-scandinavians-skoglund.html

Sile
20-07-14, 21:15
Here you are :

Using 1 population approximation:
1 Gokhem2 @ 25.478862
2 La_Brana-1 @ 32.80802
3 Sardinian @ 33.892383
4 Gokhem7 @ 34.524995
5 Ajvide58 @ 36.202466
6 Ajvide70 @ 37.818697
7 StoraFörvar11 @ 41.612706
8 Lezgin @ 45.645726
9 MA-1 @ 57.367483
10 Yemenite_Jewish @ 57.939831
11 Australian_Aboriginal @ 80.939088
12 Sakilli @ 87.407328
13 Ethiopian_Ari_cultivator @ 87.4366
14 Evens @ 89.685591
15 Anzick-1 @ 98.855745
16 Dai @ 99.309376
17 Papuan @ 102.412237
18 Yoruban @ 102.994126
18 iterations.


Using 2 populations approximation:
1 La_Brana-1+Sardinian @ 13.341811
2 Ajvide58+Sardinian @ 14.764417
3 Ajvide70+Sardinian @ 15.693863
4 Gokhem2+La_Brana-1 @ 17.105949
5 Sardinian+StoraFörvar11 @ 17.685977
6 Ajvide58+Gokhem2 @ 18.386998
7 Gokhem2+Lezgin @ 19.216398
8 Ajvide70+Gokhem2 @ 19.334763
9 Gokhem2+StoraFörvar11 @ 20.377671
10 Lezgin+Sardinian @ 20.979003
11 Gokhem7+La_Brana-1 @ 22.536472
12 Gokhem2+Gokhem2 @ 25.478862
13 Ajvide58+Gokhem7 @ 25.633428
14 Gokhem7+Lezgin @ 26.279701
15 Ajvide70+Gokhem7 @ 26.942024
16 Gokhem7+StoraFörvar11 @ 27.187696
17 Gokhem2+Gokhem7 @ 28.2131
18 La_Brana-1+Yemenite_Jewish @ 28.406006
171 iterations.


Using 3 populations approximation:
1 50% Sardinian +25% La_Brana-1 +25% Lezgin @ 10.771598
2 50% Gokhem2 +25% La_Brana-1 +25% Lezgin @ 11.743416
3 50% Sardinian +25% Ajvide58 +25% Lezgin @ 11.796707
4 50% Sardinian +25% Ajvide70 +25% Lezgin @ 12.217527
5 50% Gokhem2 +25% Ajvide58 +25% Lezgin @ 12.797845
6 50% Gokhem2 +25% Ajvide70 +25% Lezgin @ 13.327098
7 50% La_Brana-1 +25% Sardinian +25% Sardinian @ 13.341811
8 50% Sardinian +25% Ajvide58 +25% La_Brana-1 @ 13.692668
9 50% Sardinian +25% Lezgin +25% StoraFörvar11 @ 13.705801
10 50% Sardinian +25% Ajvide70 +25% La_Brana-1 @ 13.924122
11 50% La_Brana-1 +25% Lezgin +25% Sardinian @ 14.103551
12 50% Gokhem2 +25% Lezgin +25% StoraFörvar11 @ 14.270688
13 50% La_Brana-1 +25% Gokhem2 +25% Sardinian @ 14.750664
14 50% Ajvide58 +25% Sardinian +25% Sardinian @ 14.764417
15 50% La_Brana-1 +25% Sardinian +25% Yemenite_Jewish @ 14.787364
16 50% Sardinian +25% La_Brana-1 +25% StoraFörvar11 @ 14.859649
17 50% Gokhem2 +25% La_Brana-1 +25% Yemenite_Jewish @ 14.861839
18 50% Sardinian +25% Ajvide58 +25% Ajvide70 @ 15.142542
1902 iterations.


Using 4 populations approximation:
1 Gokhem2+La_Brana-1+Lezgin+Sardinian @ 10.45184
2 La_Brana-1+Lezgin+Sardinian+Sardinian @ 10.771598
3 Ajvide58+Gokhem2+Lezgin+Sardinian @ 11.564902
4 Gokhem2+Gokhem2+La_Brana-1+Lezgin @ 11.743416
5 Ajvide58+Lezgin+Sardinian+Sardinian @ 11.796707
6 Ajvide70+Gokhem2+Lezgin+Sardinian @ 12.07117
7 Ajvide70+Lezgin+Sardinian+Sardinian @ 12.217527
8 Ajvide58+Gokhem2+Gokhem2+Lezgin @ 12.797845
9 Ajvide70+Gokhem2+Gokhem2+Lezgin @ 13.327098
10 La_Brana-1+La_Brana-1+Sardinian+Sardinian @ 13.341811
11 Gokhem2+Lezgin+Sardinian+StoraFörvar11 @ 13.34257
12 Ajvide58+La_Brana-1+Sardinian+Sardinian @ 13.692668
13 Lezgin+Sardinian+Sardinian+StoraFörvar11 @ 13.705801
14 Ajvide70+La_Brana-1+Sardinian+Sardinian @ 13.924122
15 La_Brana-1+La_Brana-1+Lezgin+Sardinian @ 14.103551
16 Gokhem7+La_Brana-1+Lezgin+Sardinian @ 14.116557
17 Gokhem2+Gokhem2+Lezgin+StoraFörvar11 @ 14.270688
18 Gokhem2+La_Brana-1+La_Brana-1+Sardinian @ 14.750664
19 Ajvide58+Ajvide58+Sardinian+Sardinian @ 14.764417
20 La_Brana-1+La_Brana-1+Sardinian+Yemenite_Jewish @ 14.787364
21 La_Brana-1+Sardinian+Sardinian+StoraFörvar11 @ 14.859649
22 Gokhem2+Gokhem2+La_Brana-1+Yemenite_Jewish @ 14.861839
23 Ajvide58+Gokhem2+La_Brana-1+Sardinian @ 15.114177
24 Ajvide58+Ajvide70+Sardinian+Sardinian @ 15.142542
25 Ajvide58+La_Brana-1+Lezgin+Sardinian @ 15.192887
26 Ajvide70+Gokhem2+La_Brana-1+Sardinian @ 15.384762
27 Ajvide58+Gokhem2+Gokhem2+Yemenite_Jewish @ 15.419081
28 Gokhem2+Gokhem7+La_Brana-1+Yemenite_Jewish @ 15.435023
29 Gokhem2+Gokhem7+La_Brana-1+Lezgin @ 15.521503
30 Ajvide70+La_Brana-1+Lezgin+Sardinian @ 15.52559
31 Ajvide58+La_Brana-1+Sardinian+Yemenite_Jewish @ 15.542734
32 Ajvide70+Ajvide70+Sardinian+Sardinian @ 15.693863
33 Ajvide58+Gokhem7+Lezgin+Sardinian @ 15.802251
34 Gokhem2+La_Brana-1+Sardinian+Yemenite_Jewish @ 15.824523
35 Ajvide58+Sardinian+Sardinian+StoraFörvar11 @ 15.86823
36 Ajvide70+Gokhem2+Gokhem2+Yemenite_Jewish @ 15.925011
1916 iterations.




Gaussian method.
Noise dispersion set to 0.33296


Using 1 population approximation:
1 Sardinian @ 23.323383
2 Gokhem7 @ 30.438139
3 Lezgin @ 34.375346
4 Gokhem2 @ 38.002011
5 Yemenite_Jewish @ 52.223308
6 Sakilli @ 56.624904
7 Ajvide58 @ 62.178324
8 Evens @ 67.119248
9 Ethiopian_Ari_cultivator @ 72.826532
10 La_Brana-1 @ 78.226632
11 Ajvide70 @ 78.565171
12 StoraFörvar11 @ 79.168802
13 Dai @ 99.326551
14 MA-1 @ 109.779785
15 Australian_Aboriginal @ 115.083316
16 Anzick-1 @ 118.215176
17 Yoruban @ 122.924942
18 Papuan @ 126.857057
18 iterations.


Using 2 populations approximation:
1 Lezgin+Sardinian @ 9.74904
2 Gokhem2+Lezgin @ 10.235843
3 Gokhem7+Lezgin @ 13.739232
4 La_Brana-1+Sardinian @ 15.245836
5 Ajvide58+Sardinian @ 15.578256
6 Ajvide70+Sardinian @ 15.746155
7 Sardinian+StoraFörvar11 @ 16.074934
8 La_Brana-1+Yemenite_Jewish @ 19.062895
9 MA-1+Sardinian @ 19.596771
10 Ajvide58+Yemenite_Jewish @ 19.736548
11 Ajvide70+Yemenite_Jewish @ 20.817733
12 Gokhem2+Sakilli @ 21.162138
13 Sakilli+Sardinian @ 21.490881
14 Gokhem7+La_Brana-1 @ 22.20022
15 Ajvide58+Gokhem7 @ 22.862375
16 Gokhem7+Sardinian @ 23.096806
17 Ajvide70+Gokhem7 @ 23.166744
18 Sardinian+Sardinian @ 23.323383
171 iterations.


Using 3 populations approximation:
1 50% Sardinian +25% La_Brana-1 +25% Lezgin @ 7.334846
2 50% Sardinian +25% Ajvide58 +25% Lezgin @ 7.731493
3 50% Sardinian +25% Ajvide70 +25% Lezgin @ 7.993609
4 50% Sardinian +25% Lezgin +25% StoraFörvar11 @ 8.427504
5 50% Gokhem2 +25% La_Brana-1 +25% Lezgin @ 8.832669
6 50% La_Brana-1 +25% Lezgin +25% Sardinian @ 9.303499
7 50% Sardinian +25% Gokhem7 +25% Lezgin @ 9.304388
8 50% Gokhem2 +25% Ajvide58 +25% Lezgin @ 9.331013
9 50% Gokhem2 +25% Lezgin +25% Sardinian @ 9.504102
10 50% Sardinian +25% Gokhem2 +25% Lezgin @ 9.578594
11 50% Gokhem2 +25% Ajvide70 +25% Lezgin @ 9.647568
12 50% Sardinian +25% Lezgin +25% Sardinian @ 9.656996
13 50% Gokhem2 +25% Gokhem2 +25% Lezgin @ 9.663999
14 50% Lezgin +25% Sardinian +25% Sardinian @ 9.74904
15 50% Gokhem2 +25% Lezgin +25% StoraFörvar11 @ 9.877962
16 50% Lezgin +25% Gokhem2 +25% Sardinian @ 9.988076
17 50% Lezgin +25% La_Brana-1 +25% Sardinian @ 10.066248
18 50% Gokhem2 +25% Lezgin +25% Lezgin @ 10.235843
2907 iterations.


Using 4 populations approximation:
1 La_Brana-1+Lezgin+Sardinian+Sardinian @ 7.334846
2 Ajvide58+Lezgin+Sardinian+Sardinian @ 7.731493
3 Gokhem2+La_Brana-1+Lezgin+Sardinian @ 7.954137
4 Ajvide70+Lezgin+Sardinian+Sardinian @ 7.993609
5 Lezgin+Sardinian+Sardinian+StoraFörvar11 @ 8.427504
6 Ajvide58+Gokhem2+Lezgin+Sardinian @ 8.445408
7 Ajvide70+Gokhem2+Lezgin+Sardinian @ 8.761577
8 Gokhem2+Gokhem2+La_Brana-1+Lezgin @ 8.832669
9 Gokhem7+La_Brana-1+Lezgin+Sardinian @ 8.886532
10 Gokhem2+Lezgin+Sardinian+StoraFörvar11 @ 9.071859
11 La_Brana-1+La_Brana-1+Lezgin+Sardinian @ 9.303499
12 Gokhem7+Lezgin+Sardinian+Sardinian @ 9.304388
13 Ajvide58+Gokhem2+Gokhem2+Lezgin @ 9.331013
14 Gokhem2+Gokhem2+Lezgin+Sardinian @ 9.504102
15 Gokhem2+Lezgin+Sardinian+Sardinian @ 9.578594
16 Ajvide58+Gokhem7+Lezgin+Sardinian @ 9.634733
17 Ajvide70+Gokhem2+Gokhem2+Lezgin @ 9.647568
18 Lezgin+Sardinian+Sardinian+Sardinian @ 9.656996
19 Gokhem2+Gokhem2+Gokhem2+Lezgin @ 9.663999
20 Lezgin+Lezgin+Sardinian+Sardinian @ 9.74904
21 Gokhem2+Gokhem7+Lezgin+Sardinian @ 9.774319
22 Ajvide58+La_Brana-1+Lezgin+Sardinian @ 9.781369
23 Gokhem2+Gokhem2+Lezgin+StoraFörvar11 @ 9.877962
24 Gokhem2+Lezgin+Lezgin+Sardinian @ 9.988076
25 Ajvide70+Gokhem7+Lezgin+Sardinian @ 10.006788
26 Ajvide70+La_Brana-1+Lezgin+Sardinian @ 10.036824
27 La_Brana-1+Lezgin+Lezgin+Sardinian @ 10.066248
28 Gokhem2+Gokhem7+La_Brana-1+Lezgin @ 10.090188
29 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 10.158718
30 Gokhem2+Gokhem2+Lezgin+Lezgin @ 10.235843
31 Gokhem2+Gokhem2+Gokhem7+Lezgin @ 10.256015
32 Ajvide58+Ajvide58+Lezgin+Sardinian @ 10.266456
33 Gokhem7+La_Brana-1+Sardinian+Yemenite_Jewish @ 10.277908
34 La_Brana-1+Lezgin+Sardinian+StoraFörvar11 @ 10.422288
35 Gokhem7+Lezgin+Sardinian+StoraFörvar11 @ 10.452536
36 Ajvide58+Ajvide70+Lezgin+Sardinian @ 10.521217
5985 iterations.

Thank you, very much appreciated

John Doe
20-07-14, 21:34
Gokhem2 and Gokhem7 are/were Swedish farmers(Early European Farmers) .

EEF were supposedly Ancient Near Easterners(Basal Eurasian) +Western Hunter-gatherers.

http://dienekes.blogspot.com/2014/04/more-ancient-scandinavians-skoglund.html


I see... so do you perhaps know how my results reflect on my background? Is it out of the ordinary, not out of the ordinary, what does that make Ashkenazis?
Thanks in advance. :)

joeyc
22-07-14, 21:46
WHG means basically Baltic on the Eurogenes k13.

Anyone with high Baltic score is going to get some WHG. Sardinians have also some Baltic with a little bit of North_Atlantic.

John Doe
22-07-14, 23:17
WHG means basically Baltic on the Eurogenes k13.

Anyone with high Baltic score is going to get some WHG. Sardinians have also some Baltic with a little bit of North_Atlantic.




I get 5.45% Baltic on K13.

brianco
25-09-14, 05:56
Here are mine (English)

EEF 46.82
WHG 37.84
ANE 15.35

Sile
13-10-14, 20:52
recent news from conference which is still running

http://www.ancestorcentral.com/decennial-conference-on-genetic-genealogy-sunday/

Mars
22-10-14, 22:13
My results from Gedmatch. I'm of (northern) italian heritage.


ANE
10.28%


ASE
0.79%


WHG-UHG
46.94%


East_Eurasian
-


West_African
0.69%


East_African
0.42%


ENF
40.87%

Fire Haired14
22-10-14, 23:22
recent news from conference which is still running

http://www.ancestorcentral.com/decennial-conference-on-genetic-genealogy-sunday/

That's 10 days old. I get annoyed when people who aren't the authors of the paper miss interprit what the authors say. They act as if the discover of ANE ancestry and 3 ancestors for Europeans is brand new, when it's been almost a year. They treat ANE as something east Asian, when it wasn't at all. Plus, they mostly only mention ANE ancestry in northern Europeans(assuming becaue their closer to Siberia or whatever). They need to understand that what we think of as Siberian, west Asian, European, etc. took time to devlop, mix, etc, so ancient populations who lived in those geographical areas are usually not going to be the same as the modern people living there.

Moor
29-12-14, 16:47
Hi I'm a southern Moroccan Berber (100km near Marrakesh).

Here my results:


EEF: 49.78%
WHG: 28.48%
ANE: 0.12%

Moor
29-12-14, 16:48
Hi I'm a southern Moroccan Berber (100km near Marrakesh).

Here my results:


EEF: 49.78%
WHG: 28.48%
ANE: 0.12%




ASE: 0%
East Eurasian: 2.99%
East African: 18.62%

Moor
29-12-14, 16:49
ASE: 0%
East Eurasian: 2.99%
East African: 18.62%

West African 0%

Moor
29-12-14, 16:58
Here my Eurogenes K13:

Regio X
31-01-15, 18:20
My results based on Eurogenes K13 and that Excel file:
EEF: 68.142275
WHG: 21.004465
ANE: 10.85326

Based on Eurogenes ANE K7:
ANE: 12.16
ASE: 0.50
WHG-UHG: 50.70
East_Eurasian: 0.18
West_African 0.16
East_African: -
ENF: 36.29

Based on Eurogenes Hunter_Gatherer vs. Farmer:
Anatolian Farmer: 16.18%
Baltic Hunter Gatherer: 34.78%
Middle Eastern Herder: 7.54%
East Asian Farmer: -
South American Hunter Gatherer: -
South Asian Hunter Gatherer: -
North Eurasian Hunter Gatherer: -
East African Pastoralist: -
Oceanian Hunter Gatherer: -
Mediterranean Farmer: 41.50%
Pygmy Hunter Gatherer: -
Bantu Farmer: -

Sile
05-02-15, 20:32
My results based on Eurogenes K13 and that Excel file:
EEF: 68.142275
WHG: 21.004465
ANE: 10.85326

Based on Eurogenes ANE K7:
ANE: 12.16
ASE: 0.50
WHG-UHG: 50.70
East_Eurasian: 0.18
West_African 0.16
East_African: -
ENF: 36.29

Based on Eurogenes Hunter_Gatherer vs. Farmer:
Anatolian Farmer: 16.18%
Baltic Hunter Gatherer: 34.78%
Middle Eastern Herder: 7.54%
East Asian Farmer: -
South American Hunter Gatherer: -
South Asian Hunter Gatherer: -
North Eurasian Hunter Gatherer: -
East African Pastoralist: -
Oceanian Hunter Gatherer: -
Mediterranean Farmer: 41.50%
Pygmy Hunter Gatherer: -
Bantu Farmer: -

I am Venet in ancestory

my numbers
EEF 69
WHG 22
ANE 10


UHG 49.96
ENF 35.92
ANE 11.49

What town in Italy was your family from?

Regio X
06-02-15, 20:42
deleted by poster

kerbal
02-03-15, 13:55
Hello, i'm almost 100% french (1/32 polish) my father is from languedoc , and my mother is from the north of the country. My results based on eurogenes k13:
EEF:58,012
WHG:29,61722
ANE:12,37078

Orillion
18-04-15, 12:57
Eurogenes_ANE K7 Results:



ANE

13.58%


ASE
2.74%


WHG-UHG
59.88%



East_Eurasian
0.58%


West_African
-


East_African

0.79%



ENF
22.43%




Eurogenes K13 Results through the Excel sheet:



EEF
54.04838423


WHG
32.00556804


ANE
13.94604773



Ethnicity is French, the whole family being from the German border, with additions from Northern Italy and Poland dating from late 19th - early 20th century.

Fire Haired14
18-04-15, 15:00
Eurogenes_ANE K7 Results:


Eurogenes K13 Results through the Excel sheet:


Ethnicity is French, the whole family being from the German border, with additions from Northern Italy and Poland dating from late 19th - early 20th century.

That's typical of France, west Germany, Belgium, and South Dutch. All samples from those regions I've seen kind of cluster together. Germans outside of that region cluster more so with Scandinavians and British-Irish, and in Southwest French they're very similar to Basque.

France has always been genetically diverse, because it formed out of a multi-ethnic Roman province. Although West Germans look like they could mostly be from Gauls(under Rome) who became Germanic-speakers. I fit in this cluster, but not because I'm French or something but because I'm a mixture of very northern, very southern, and intermediate(West German) European elements.

Alan
18-04-15, 15:11
That's typical of France, west Germany, Belgium, and South Dutch. All samples from those regions I've seen kind of cluster together. Germans outside of that region cluster more so with Scandinavians and British-Irish, and in Southwest French they're very similar to Basque.

France has always been genetically diverse, because it formed out of a multi-ethnic Roman province. Although West Germans look like they could mostly be from Gauls(under Rome) who became Germanic-speakers. I fit in this cluster, but not because I'm French or something but because I'm a mixture of very northern, very southern, and intermediate(West German) European elements.

France is as "multi ethnic" as any country in this world. The French people cluster generally with Central and Northwest Europeans. Even the South French cluster closer to North French. Basques are compared to other Iberians significantly closer to French but yet not "extraordinary" more.

The difference between South France and North France is not bigger as the difference between North Germany-South Germany or North Iberia and South Iberia.

Fire Haired14
18-04-15, 15:48
The difference between South France and North France is not bigger as the difference between North Germany-South Germany or North Iberia and South Iberia.

You can look at any admixture results with samples from differnt regions in France. There's a lot of variation. They vary from almost British-like to Basque-like. Those are the two extremes.

France is multi-ethnic in the ancient sense. Rome brought together various Gaulish and non-Gaulish tribes in a huge area to make provinces which eventually became France. The foundation of France is not the same as in all countries, and it covers a huge area, so we should expect variation.

SouthWest French used to speak Basque(ancestral form), so it makes sense they're so similar to Basque.

Angela
18-04-15, 22:40
These are very blunt tools looking at total affinity to very ancient population groups.Going by IBD analysis there are differences within Europe in terms of substructure..

Ralph and Coop et al
http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555

"One of the striking patterns we see is the relatively high level of sharing of IBD between pairs of individuals across eastern Europe, as high or higher than that observed within other, much smaller populations. This is consistent with these individuals having a comparatively large proportion of ancestry drawn from a relatively small population that expanded over a large geographic area. The “smooth” estimates of Figure 4 (http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#pbio-1001555-g004) (and more generally Figures 5 (http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#pbio-1001555-g005) and S17 (http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#pbio.1001555.s017)) suggest that this increase in ancestry stems from around 1,000–2,000 ya, since during this time pairs of eastern individuals are expected to share a substantial number of common ancestors, while this is only true of pairs of noneastern individuals if they are from the same population. The eastern populations with high rates of IBD are highly coincident with the modern distribution of Slavic languages, so it is natural to speculate that much of the higher rates were due to this expansion."


"On the other hand, we find that France and the Italian and Iberian peninsulas have the lowest rates of genetic common ancestry in the last 1,500 years (other than Turkey and Cyprus), and are the regions of continental Europe thought to have been least affected by the Slavic and Hunnic migrations. These regions were, however, moved into by Germanic tribes (e.g., the Goths, Ostrogoths, and Vandals), which suggests that perhaps the Germanic migrations/invasions of these regions entailed a smaller degree of population replacement than the Slavic and/or Hunnic, or perhaps that the Germanic groups were less genealogically cohesive. This is consistent with the argument that the Slavs moved into relatively depopulated areas, while Gothic “migrations” may have been takeovers by small groups of extant populations [54] (http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#pbio.1001555-Halsall1),[55] (http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#pbio.1001555-Kobyliski1).

In addition to the very few genetic common ancestors that Italians share both with each other and with other Europeans, we have seen significant modern substructure within Italy (i.e., Figure 2 (http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#pbio-1001555-g002)) that predates most of this common ancestry, and estimate that most of the common ancestry shared between Italy and other populations is older than about 2,300 years (Figure S16 (http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#pbio.1001555.s016)). Also recall that most populations show no substructure with regards to the number of blocks shared with Italians, implying that the common ancestors other populations share with Italy predate divisions within these other populations. This suggests significant old substructure and large population sizes within Italy, strong enough that different groups within Italy share as little recent common ancestry as other distinct, modern-day countries, substructure that was not homogenized during the migration period. These patterns could also reflect in part geographic isolation within Italy as well as a long history of settlement of Italy from diverse sources.
In contrast to Italy, the rate of sharing of IBD within the Iberian peninsula is similar to that within other populations in Europe. There is furthermore much less evidence of substructure within our Iberian samples than within the Italians, as shown in Figure S2 (http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#pbio.1001555.s002). This suggests that the reduced rate of shared ancestry is due to geographic isolation (by distance and/or the Pyrenees) rather than long-term stable substructure within the peninsula."


Unfortunately, they didn't go into great detail about the Germans. As to them, I think I would tend to agree with Fire Haired's speculations. Also, this doesn't specifically address how much substructure there is in France compared to Germany or compared to Spain. The amount of substructure in Italy is of another order. They go into detail about it in the paper.

LeBrok
19-04-15, 01:07
Unfortunately, they didn't go into great detail about the Germans. As to them, I think I would tend to agree with Fire Haired's speculations. Also, this doesn't specifically address how much substructure there is in France compared to Germany or compared to Spain. The amount of substructure in Italy is of another order. They go into detail about it in the paper.
I find it a little vague too. I wish they put some harder numbers into population replacement/mixing by region. From what they wrote and admixtures levels by country I gather that Slavs could count for around 50 percent of genetic material in Balkans, except Greece and Albania. On other hand Germanic genetic influence is not bigger than 5 to 10% in regions of Western Europe, not including Germanic speaking nations. Linguistic patterns also point to similar conclusions in my opinion.

Alan
19-04-15, 01:19
You can look at any admixture results with samples from differnt regions in France. There's a lot of variation. They vary from almost British-like to Basque-like. Those are the two extremes.

France is multi-ethnic in the ancient sense. Rome brought together various Gaulish and non-Gaulish tribes in a huge area to make provinces which eventually became France. The foundation of France is not the same as in all countries, and it covers a huge area, so we should expect variation.

SouthWest French used to speak Basque(ancestral form), so it makes sense they're so similar to Basque.



My friend there are dozens of autosomal analysis of French people. Even if they are not divided by regions chances are high that many of them are mixed from different regions. And they always cluster next by each other building a fluent transition. Most of France and the French people re in general descend of pre Roman/Germanic Celtic tribes with allot of Germanic and Roman admixture.

All I am saying is the genetic diversity in France is not bigger as the genetic diversity in many other parts of Europe.

Fire Haired14
19-04-15, 02:44
I find it a little vague too. I wish they put some harder numbers into population replacement/mixing by region. From what they wrote and admixtures levels by country I gather that Slavs could count for around 50 percent of genetic material in Balkans, except Greece and Albania. On other hand Germanic genetic influence is not bigger than 5 to 10% in regions of Western Europe, not including Germanic speaking nations. Linguistic patterns also point to similar conclusions in my opinion.

I agree, far-eastern Slavs are included. Russians and Ukrainians are probably mostly Central-European Slavic. They're far more similar to Poles than to their Finno-Urgic and Turkic neighbors, who are more similar to Bronze age Samara Yamna(and therefore more native to the region). Lots of Balkan Slavs also obviously have a lot of Polish-like Slavic input to. Most Serbians and Bosnians are closer to Poles than to Albanians and Greeks.

Finalise
19-04-15, 04:16
Fire-Haired you're dead wrong and stop trying to become an expert on everything. Northern Russians are way closer to Uralic populations than they are to Poles. Serbians and Bosnians also are 1/4th-1/3rd Slavic at the most. Only Slovenians get anywhere more than 50% Slavic. There was already plenty of Central and Eastern European-like DNA in the Balkans from pre-Slavic IE groups.

Orillion
19-04-15, 15:41
All i know is that according to GEDmatch, i always end up clustered very close to West Germans (3.41) and South Dutchs (4.3), and much much farther (almost twice as far according to the least square method) from French (7.78) per se. This is probably because most of my family comes from the Rhine valley (the Rhine having been the main trade route) and hasn't moved much in the last centuries (except for additions from afar at the time of the industrial revolution.

As for French admixtures, i've always read that there was a slow admixture gradient from Portugal to Poland, and that French and German in particular often clustered together (with people from, say, Southwest France clustering a bit farther from Germans and a bit closer to Spaniards, etc.), but i suppose the same can probably be said about pretty much every other European country.

noUseForAname
28-05-15, 05:15
In order to make such maps we need a lot of data from all over the Europe. By the nature of this data collection it will be a self reporting project. It is not the best way, but it might be the only way to gather data for these maps. Please post your EEF, WHG, EEF numbers with place of birth, or place of birth of your parents if they came from different region than you were born in.

Little explanation of these admixtures:

These admixtures can roughly tell you about your origin.
WHG - West Hunter Gatherers, were the Mesolithic Europeans spread pretty much all over the Europe around 10 to 5 thousand BCE.
EEF - Early European Farmers, were the Neolithic inhabitants of Europe, the first farmers who came 10 thousand years ago from Near East and first settled in Balkans and the rest of South Europe. In next 5 thousand years they've spread to every corner of Europe.
ANE - Ancient North Eurasians, the hunter-gatherers and nomads from far East Europe and Central Asia. Latest research papers point to Indo-Europeans bringing ANE to every place in Europe.

Example:
Poland, Siedlce (country, city or region)
EEF - 45
WHG - 39
ANE - 16

One can say that I'm 39% very ancient European, 45% farmer from Near East, and 16% Indo-European. Or that I'm 55% Hunter-Gatherer and 45% Farmer.

More information:
http://eurogenes.blogspot.com.au/2013/12/ancient-human-genomes-suggest-three.html

Some data from the paper by Lazaridis:
EEF WHG ANE
0.781 0.092 0.127 -- Albanian
0.931 0 0.069 -- Ashkenazi_Jew
0.593 0.293 0.114 -- Basque
0.418 0.431 0.151 -- Belorussian
0.715 0.177 0.108 -- Bergamo
0.712 0.147 0.141 -- Bulgarian
0.561 0.293 0.145 -- Croatian
0.495 0.338 0.167 -- Czech
0.495 0.364 0.141 -- English
0.322 0.495 0.183 -- Estonian
0.554 0.311 0.135 -- French
0.675 0.195 0.13 -- French_South
0.792 0.058 0.151 -- Greek
0.558 0.264 0.179 -- Hungarian
0.394 0.456 0.15 -- Icelandic
0.364 0.464 0.172 -- Lithuanian
0.932 0 0.068 -- Maltese
0.411 0.428 0.161 -- Norwegian
0.457 0.385 0.158 -- Orcadian
0.713 0.125 0.163 -- Pais_Vasco
0.817 0.175 0.008 -- Sardinian
0.39 0.428 0.182 -- Scottish
0.903 0 0.097 -- Sicilian
0.809 0.068 0.123 -- Spanish
0.746 0.136 0.118 -- Tuscan
0.462 0.387 0.151 -- Ukrainian



Here is the explanation how you can calculate your admixtures:
http://bga101.blogspot.com.au/2013/12/eef-whg-ane-test-for-europeans.html

On EEF the paper states: Early European Farmer (EEF): apparently this is a hybrid component, the result of mixture between "Basal Eurasians" and a WHG-like population possibly from the Balkans. (possibly from Balkans) how do you know it came from near east (does it say on a paper?).

This might correlates with Maciamo arguing about E-V13 (10,000 ybp), as its peak or roots is south east balkans. And before that its a subclade of M-78 (south east Africa). And M-78 might have crossed (before 10,000 ybp) straight to south east balkans (or even Iberia) and not through Levant and Anatolia.
It also correlates with I2a1...So only possible early Neolithic in Europe I2a1 and E-V13?....Then I2a1 and E-V13 has nothing to do with near east farmers nor even migrating from the near east

Haplogroup E-V13 is the only lineage that reaches the highest frequencies out of Africa. In fact, it represents about 85% of the European E-M78 chromosomes with a clinal pattern of frequency distribution from the southern Balkan peninsula (19.6%) to western Europe (2.5%). The same haplogroup is also present at lower frequencies in Anatolia (3.8%), the Near East (2.0%), and the Caucasus (1.8%). In Africa, haplogroup E-V13 is rare, being observed only in northern Africa at a low frequency (0.9%).
—Cruciani et al. (2007 (http://en.wikipedia.org/wiki/Haplogroup_E-V68#CITEREFCrucianiLa_FrattaTrombettaSantolamazza2 007))

On the other side looks like its pretty complicated, if we can say the more Yanmaya R* (4,500) from the graph the less Mesolithic or Neolthic, and more the WHG and EEF then more Mesolithic and early Neolithic. Credit goes to Sardinains and Bulgarians with pretty high I2a1 and Albanians and Greeks with E-V13
How come then Spain, tuscany, basques, Bergamo has one of the highest EEF and its very very high in R1b?....

LeBrok
28-05-15, 06:35
On EEF the paper states: Early European Farmer (EEF): apparently this is a hybrid component, the result of mixture between "Basal Eurasians" and a WHG-like population possibly from the Balkans. (possibly from Balkans) how do you know it came from near east (does it say on a paper?). To be exact EEF is European hybrid, and it was found in Stuttgart. However it has over 80% component which came with first farmers. It is called Early Neolithic Farmer admixture. From archaeology we know that first farmers happened in Near East, and then farming spread to Europe through Balkans. We are yet to physically find and sequence this supposed ENF genome. Though it is pretty sure thing that we will find it there.


This correlates with Maciamo arguing about E-V13 (10,000 ybp), as its peak or roots is south east balkans. And before that its a subclade of M-78 (south east Africa). And M-78 might have crossed (before 10,000 ybp) straight to south east balkans (or even Iberia) and not through Levant and Anatolia. If E-V13 came with farmers to Balkans, it most likely started in Near East and walked from there to Europe with other farmers of G2a type, as minority clade. If it came to Europe in Mesolithic, then it came as hunter-gatherer. It could have originated in Saharan Africa, then came to Iberia, bringing North African admixture, which was found in some WHGs. When farmers came and acquired V13 from hunter gatherers it could spread around in bigger numbers throughout Europe with farmers.

Looking at E-V13 map, it looks wide spread in every part of Europe, therefore very ancient. It started expansion in Mid Neolithic to my guess, and in direction from South to North.
http://cdn.eupedia.com/images/content/Haplogroup-E-V13.gif

Sile
28-05-15, 07:04
To be exact EEF is European hybrid, and it was found in Stuttgart. However it has over 80% component which came with first farmers. It is called Early Neolithic Farmer admixture. From archaeology we know that first farmers happened in Near East, and then farming spread to Europe through Balkans. We are yet to physically find and sequence this supposed ENF genome. Though it is pretty sure thing that we will find it there.

If E-V13 came with farmers to Balkans, it most likely started in Near East and walked from there to Europe with other farmers of G2a type, as minority clade. If it came to Europe in Mesolithic, then it came as hunter-gatherer. It could have originated in Saharan Africa, then came to Iberia, bringing North African admixture, which was found in some WHGs. When farmers came and acquired V13 from hunter gatherers it could spread around in bigger numbers throughout Europe with farmers.

Looking at E-V13 map, it looks wide spread in every part of Europe, therefore very ancient. It started expansion in Mid Neolithic to my guess, and in direction from South to North.
http://cdn.eupedia.com/images/content/Haplogroup-E-V13.gif

As yet , there has never been found any E in central europe in neolithic farming times

noUseForAname
29-05-15, 00:55
To be exact EEF is European hybrid, and it was found in Stuttgart. However it has over 80% component which came with first farmers. It is called Early Neolithic Farmer admixture. From archaeology we know that first farmers happened in Near East, and then farming spread to Europe through Balkans. We are yet to physically find and sequence this supposed ENF genome. Though it is pretty sure thing that we will find it there.

If E-V13 came with farmers to Balkans, it most likely started in Near East and walked from there to Europe with other farmers of G2a type, as minority clade. If it came to Europe in Mesolithic, then it came as hunter-gatherer. It could have originated in Saharan Africa, then came to Iberia, bringing North African admixture, which was found in some WHGs. When farmers came and acquired V13 from hunter gatherers it could spread around in bigger numbers throughout Europe with farmers.

Looking at E-V13 map, it looks wide spread in every part of Europe, therefore very ancient. It started expansion in Mid Neolithic to my guess, and in direction from South to North.
http://cdn.eupedia.com/images/content/Haplogroup-E-V13.gif


Recent discoveries in Europe (http://en.wikipedia.org/wiki/Europe), such as Cyprus (http://en.wikipedia.org/wiki/Cyprus) and mainland Greece (http://en.wikipedia.org/wiki/Greece) has shown that farming started early in south east Europe. In Franchthi Cave (http://en.wikipedia.org/wiki/Franchthi_Cave)in Greece there are no certain gathering of plant foods attested before c. 11,000bc, although large numbers of seeds of the Boraginaceae (http://en.wikipedia.org/wiki/Boraginaceae) family may come from plants gathered to furnish soft bedding or for the dye which their roots may have supplied. First appearing at c. 11,000bc are lentils, vetch, pistachios, and almonds. Then c. 10,500bc appear a few very rare seeds of wild oats and wild barley. Neither wild oats nor wild barley become at all common until c. 7000bc[19] (http://en.wikipedia.org/wiki/History_of_agriculture#cite_note-19)[20] (http://en.wikipedia.org/wiki/History_of_agriculture#cite_note-20) in Cyprus. The oldest agricultural settlement ever found on a Mediterranean island has been discovered in Klimonas. between 9100 and 8600 bc

Anthropological (http://en.wikipedia.org/wiki/Anthropology) and archaeological (http://en.wikipedia.org/wiki/Archaeology) evidence from sites across Southwest Asia (http://en.wikipedia.org/wiki/Southwest_Asia) and North Africa (http://en.wikipedia.org/wiki/North_Africa) indicate use of wild grain (http://en.wikipedia.org/wiki/Cereal) (e.g., from the c. 20,000bc site of Ohalo II (http://en.wikipedia.org/wiki/Ohalo_II) in Israel (http://en.wikipedia.org/wiki/Israel), many Natufian (http://en.wikipedia.org/wiki/Natufian) sites in the Levant (http://en.wikipedia.org/wiki/Levant) and from sites along the Nile (http://en.wikipedia.org/wiki/Nile) in the 10th millennium bc).
It was not until after 9500 bc that the eight so-called founder crops (http://en.wikipedia.org/wiki/Neolithic_founder_crops) of agriculture appear: first emmer (http://en.wikipedia.org/wiki/Emmer_wheat) and einkorn wheat (http://en.wikipedia.org/wiki/Einkorn_wheat), then hulled barley (http://en.wikipedia.org/wiki/Barley), peas (http://en.wikipedia.org/wiki/Pea),lentils (http://en.wikipedia.org/wiki/Lentil), bitter vetch (http://en.wikipedia.org/wiki/Vicia_ervilia), chick peas (http://en.wikipedia.org/wiki/Chick_pea) and flax (http://en.wikipedia.org/wiki/Flax). These eight crops occur more or less simultaneously on Pre-Pottery Neolithic B (PPNB (http://en.wikipedia.org/wiki/Pre-Pottery_Neolithic_B)) sites in the Levant (http://en.wikipedia.org/wiki/Levant)
By 7000 bc, sowing and harvesting reached Mesopotamia.....http://en.wikipedia.org/wiki/History_of_agriculture

What i understand is not the near East (considering Syria, Anatolia, Mesopotamia) but the far north east Africa (M-78 peak) and the very south west Levant like Ohalo.
So that might mean that by 10,000 BC there was already farming in the far south east Balkans that came from north east Africa and the far south west Levant.
It looks like the peak was south east Africa which at the same time spread in one direction at Crete and then Peloponnese (reaching south East Europe without going across through Levant and Anatolia) and the other group spread through Levant Syria and reached Mesopotamia by 7,000 BC. It might be that this second group may not be E-V13 or M-78 in majority as nowadays this group has minimal %.

It also correlates with M-78 and E-V13 link through north east Africa and not the other way around through north Levant and Anatolia.

Maybe not as a minority as you mention because who else was there before G2a I2a1 and E-V13 and with higher numbers?, i Would suppose (at early Neolithic through mid Neolithic) the Majority in Europe (excluding current Russia) was:
1: I2a1 & I1
2: E-V13
3: G2a1 (dont know why or how by today is still low)
4: R1b (became a majority in Europe after 4,000 ybp)
5: R1a (pushed more south to current Europe from Today Russia after around 4,000 ybp)
J2 not much info, (probably came in more numbers after the bronze age)

Tomenable
29-05-15, 18:58
don’t have much info about R1a, and J2 (probably came much later)

???

There is a sample of R1a from Karelia (7500 years old), three samples of R1a near the Belarusian-Russian border (one 6000 years old and two 4500 years old). Then there are six R1a samples from Corded Ware cultures in East Germany (4 samples) and Poland (2 samples), then one R1a sample from the Lusatian culture and two from another of Urnfield cultures - all from period 4800 - 3000 years ago.

Check this thread if you want to see maps:

http://www.eupedia.com/forum/threads/31250-Mezolithic-Neolithic-vs-Chalcolithic-Early-Iron-Age-Y-DNA-landscape-of-Europe

Tomenable
30-05-15, 10:46
These are locations of ancient DNA samples of R1a and R1b haplogroups found so far, from period 8000 - 2000 years ago:

http://s24.postimg.org/tbvhtfpcl/R1a_vs_R1b.png

The two oldest samples - 7500 ybp (from Southern Deer Island, Lake Onega, Karelia) and 6000 ybp (found near the city of Velizh) were hunter-gatherers.

Samples of R1a from Poland and East Germany were found in the context of Copper-Bronze Age Corded Ware cultures (4600 ybp, 4400 ybp and 4000 ybp), as well as the Lusatian Culture (3100 ybp). Samples of R1b from Germany were found in the context of Copper-Bronze Age Bell Beaker cultures (4500 ybp and 4300 ybp):

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

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

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

Only the burial site belonging to Urnfield cultural horizon located near Dorste (3000 ybp) happened to contain both R1a (x2) and R1b (x1):

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

The most important of all settlements of the Lusatian Culture found so far, was Biskupin:

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


https://www.youtube.com/watch?v=mc_KLJrD054

Tomenable
30-05-15, 10:48
These are locations of ancient DNA samples of R1a and R1b haplogroups found so far, from period 8000 - 2000 years ago:

http://s24.postimg.org/tbvhtfpcl/R1a_vs_R1b.png

And modern dominant haplogroups by country for comparison - R1b is pink here (while R1a is red like before):

http://s4.postimg.org/kji3ibznx/Dominant_YDNA.png

noUseForAname
30-05-15, 21:39
And modern dominant haplogroups by country for comparison - R1b is pink here (while R1a is red like before):


I meant early Neolithic through mid Neolithic and if excluding current Russia and the far north east Belarus.

Still looks like as below (early Neolithic through mid Neolithic) the Majority in Europe (excluding current Russia) was:
1: I2a1 & I1
2: E-V13
3: G2a1 (dont know why or how by today is still low)
4: R1b (became a majority in Europe after 4,000 ybp)
5: R1a (pushed more south to current Europe from Today Russia after around 4,500 ybp)
J2 not much info, (probably came in more numbers after the bronze age)


By the way Croatia has much more I* then R1a....

RobertColumbia
16-07-15, 22:58
with these numbers
...
0.713 0.125 0.163 -- Pais_Vasco ..................................hmm, does it mean Paese Vasconic in Italian...I know its basque area?
....

"País vasco" is simply Spanish for "Basque Country" (https://es.wikipedia.org/wiki/Pa%C3%ADs_Vasco).

Moi-même
23-04-16, 02:22
I'm mostly French Canadian, with wee little bit of Scot, Dutch, Austrian, English, Portugese, Abenaki and Ojibwe.

EEF 61%
WHG 27%
ANE 12%

Rethel
23-04-16, 13:04
And modern dominant haplogroups by country for comparison - R1b is pink here (while R1a is red like before):

A map, where R1 is treated as one clade would be much truer,
than artificial deviding these both on two separate groups.

In such case:

http://www.eupedia.com/forum/attachment.php?attachmentid=7687&d=1461409482

Twilight
26-05-16, 21:29
Here is my WHG/ENF/ANE/CHG spreadsheet according to MDLP K13 Ultimate :)


WHG: 27.56
ENF: 41.42
ANE: 21.42
CHG: 9.61

Goga
26-05-16, 22:24
Nice! According to MDLP the results are:



1
ANE
33.37


2
Caucas-Gedrosia
33.26


3
ENF
13.61


4
NearEast
12.62


5
ASI
3.99


6
WHG-UHG
2.03


7
Subsaharian
1.07


8
Paleo-African
0.06




http://s33.postimg.org/eguz3k9f3/ezdi_kurd.jpg

Promenade
27-05-16, 00:05
7757

WHG-UHG 26.75
ENF 42.59
Caucas-Gedrosia 5.28
ANE 23.09
Near East 1.59

Do you need any more info?

Northener
22-11-16, 13:22
@ Lebrok @Firehaired I think your remarks are very accurat. In most Gedmatch test I have usually more 'outmost' NW European scores than average in my region North Dutch (which is already part of the NW Euro genepool). I guess Le Brok is right with 'still some enclaves of pure WHG roaming around.' I guess that the difference is that I got more ancestors from this HG pockets around the North Sea (The Swifterbant/Ertbølle culture (https://en.wikipedia.org/wiki/Swifterbant_culture)).

Quote:

'From around 8,500 BP, these hunter-fisher-gatherers of the North Sea and the Baltic began to achieve ever higher levels of population density and social complexity that would put them on a par with farming peoples farther south. They were thus able to stop the advance of farming for two to three thousand years:


After a rapid spread across Central Europe, […] farming communities came to a halt in the North European Plain, leaving the coastal areas of the North Sea occupied by hunter-gatherers. […]


This could not have been due to ecological conditions. The frontier extends across a uniform geographical area, and the soils of southern Scandinavia are, in many places, light, fertile, and favorable for cultivation […]. The reason for the delay must be sought in the late Mesolithic communities of the region. Although regional differences exist […], hunter-gatherers in the southern Baltic region are likely to have had a greater population density than central European foragers […], larger and more permanent settlements […], and a complex economic pattern involving specialized extraction camps, seasonal scheduling, and seasonally intensive use of specific resources […] (Zvelebil and Dolukhanov, 1991)


These North Sea and Baltic peoples were semi-sedentary. Most of them lived from spring to fall in large coastal agglomerations where they fished, sealed, and collected shellfish. They then dispersed to small inland hunting stations (Price, 1991). Johansen (2006) has argued for a higher degree of mobility: “a number of small groups rotating between sites on a seasonal basis within a confined territory, but perhaps periodically aggregating at key localities.” Bang-Andersen (1996) states: “In certain areas such as the seaboard of central West Norway, particularly resource-rich marine and terrestrial environments may have made it possible to stay within restricted parts of the region all the year round on a diffuse sedentary basis.” Most areas, however, had “a permanent or semi-permanent base camp on the coast, a certain number of extended extraction sites for seasonal hunting, gathering and fishing activities, a larger amount of transitory sites, and an almost indefinite number of special purpose sites or single-activity loci.”

I think the migrations and influx where in the Netherlands bigger than in the Balticum. In the Northern-Netherlands is this slightly different, and especially in my case more "stubborn HG" ;)

Feel free to comment.

My 'facts and figures'.

WHG_ANE_EEF

EEF 44%
WHG 40%
ANE 16%

Close to Norsemen and Orcadian.

K13
1 Danish @ 1.742467
2 North_Dutch @ 2.503399
3 Norwegian @ 2.936815
4 North_German @ 4.368844
5 Orcadian @ 4.697951


MDLP K23b Oracle Rev 2014 Sep 16


Admix Results (sorted):

# Population Percent
1 European_Hunters_Gatherers 42.61
2 European_Early_Farmers 24.62
3 Caucasian 23.45
4 South_Central_Asian 4.35
5 Ancestral_Altaic 3.63

Using 1 population approximation:
1 North_German @ 2.702885
2 Dane @ 4.053313
3 Swede @ 4.753368
4 Dutch @ 4.838142
5 Norwegian_East @ 5.059787

Eurogenes ANE K7
Population
ANE 16.45
ASE 2.17
WHG-UHG 66.77
East_Eurasian -
West_African 0.10
East_African 0.76
ENF 13.75

Quote above from: http://evoandproud.blogspot.nl/2013/12/origins-of-northwest-european-guilt.html



Before IE invasion there was only WHG and EEF admixtures in Ireland. For most northerly European countries, where farming came late, the ratio was close to 50/50. For south Europeans the admixtures were overwhelmingly EEF.

There was more WHG in NW Europe. In Neolithic it might not have been mixed evenly through population yet, with still some enclaves of pure WHG roaming around. Farming came late there and had few collapses letting Hunter-Gatherers recover and mix with farmers later.

Impossible, although they had some (minority). Otherwise you can't explain about 12% level of ANE in Southern Europe and almost nothing WHG. I think IE came with ration 1 to 4, one IE to 4 locals. Assuming that they were roughly 50/50 EEF/ANE, coming from Yamna culture. Indo Iranians from farther east could have been much higher on ANE scale.

Joey D
26-11-16, 14:59
East Sicilian:

EEF - 87.7
WHG - 4.8
ANE - 7.5

Dibran
08-02-17, 07:12
(Albanian)


EEF: 78.45833506
WHG: 12.82318721
(ANE: 8.718477732

Apsurdistan
03-05-17, 05:06
I don't see the MDLP k13 ultimate on Gedmatch.
But the Eurogenes ANE-k7 is








ANE
15.71


ASE
2.17


WHG-UHG
54.48


East_Eurasian
0.13


West_African
0.58


East_African
0.45


ENF
26.49

tahir0010
15-06-17, 07:18
I don't see the MDLP k13 ultimate on Gedmatch.
But the Eurogenes ANE-k7 is








ANE
15.71


ASE
2.17


WHG-UHG
54.48


East_Eurasian
0.13


West_African
0.58


East_African
0.45


ENF
26.49







Our K7 is almost the exact same everything except my east Africa is 1 percent everything else is basically the same.

Dibran
30-07-17, 04:09
[QUOTE=LeBrok;433489]In order to make such maps we need a lot of data from all over the Europe. By the nature of this data collection it will be a self reporting project. It is not the best way, but it might be the only way to gather data for these maps. Please post your EEF, WHG, EEF numbers with place of birth, or place of birth of your parents if they came from different region than you were born in.

Little explanation of these admixtures:

These admixtures can roughly tell you about your origin.
WHG - West Hunter Gatherers, were the Mesolithic Europeans spread pretty much all over the Europe around 10 to 5 thousand BCE.
EEF - Early European Farmers, were the Neolithic inhabitants of Europe, the first farmers who came 10 thousand years ago from Near East and first settled in Balkans and the rest of South Europe. In next 5 thousand years they've spread to every corner of Europe.
ANE - Ancient North Eurasians, the hunter-gatherers and nomads from far East Europe and Central Asia. Latest research papers point to Indo-Europeans bringing ANE to every place in Europe.

Example:
Poland, Siedlce (country, city or region)
EEF - 45
WHG - 39
ANE - 16

One can say that I'm 39% very ancient European, 45% farmer from Near East, and 16% Indo-European. Or that I'm 55% Hunter-Gatherer and 45% Farmer.

More information:
http://bga101.blogspot.com.au/2013/12/eef-whg-ane-test-for-europeans.html (http://eurogenes.blogspot.com.au/2013/12/ancient-human-genomes-suggest-three.html)

Some data from the paper by Lazaridis:
EEF WHG ANE
0.781 0.092 0.127 -- Albanian
0.931 0 0.069 -- Ashkenazi_Jew
0.593 0.293 0.114 -- Basque
0.418 0.431 0.151 -- Belorussian
0.715 0.177 0.108 -- Bergamo
0.712 0.147 0.141 -- Bulgarian
0.561 0.293 0.145 -- Croatian
0.495 0.338 0.167 -- Czech
0.495 0.364 0.141 -- English
0.322 0.495 0.183 -- Estonian
0.554 0.311 0.135 -- French
0.675 0.195 0.13 -- French_South
0.792 0.058 0.151 -- Greek
0.558 0.264 0.179 -- Hungarian
0.394 0.456 0.15 -- Icelandic
0.364 0.464 0.172 -- Lithuanian
0.932 0 0.068 -- Maltese
0.411 0.428 0.161 -- Norwegian
0.457 0.385 0.158 -- Orcadian
0.713 0.125 0.163 -- Pais_Vasco
0.817 0.175 0.008 -- Sardinian
0.39 0.428 0.182 -- Scottish
0.903 0 0.097 -- Sicilian
0.809 0.068 0.123 -- Spanish
0.746 0.136 0.118 -- Tuscan
0.462 0.387 0.151 -- Ukrainian




The above bolded averages in the quote correlate to my, and my fathers closest matches in each category(EEF/WHG/ANE). These populations are generally my closest matches on calculators. My Albanian friend from Montenegro has his matches as follows:

EEF: Bergamo/Bulgarian/Pais_Vasco
WHG:Sardinian/Bergamo/Bulgarian/Tuscan
ANE:Albanian/Pais_Vasco/Tuscan

My Results:

23andme:



Results



EEF
78.45833506


WHG
12.82318721


ANE
8.718477732




Ftdna:



Results



EEF
78.329568


WHG
12.93375231


ANE
8.736679685



LivingDNA:



Results



EEF
79.76227246


WHG
11.71076172


ANE
8.526965822




My Father:



Results



EEF
79.32319515


WHG
12.02980746


ANE
8.646997384




Albanian friend from Montenegro:



Results



EEF
71.43663676


WHG
17.73119421


ANE
10.83216903

Lukas
31-07-17, 12:17
I saw in this thread few Polish results and there are nearly identical as mine:



EEF
42,989893959


WHG
40,0040929498


ANE
17,0060130912

michal3141
16-10-17, 11:36
My results (based on Eurogenes K13):




EEF
43.71844


WHG
39.4749


ANE
16.80666

Wheal
16-10-17, 20:16
Eurasia K9 ASI Admixture Proportions

Early_Neolithic_Farmers 25.99
SW_Asian 7.66
Ancestral_South_Indian 1.00
Eastern_Hunter_Gatherer 12.77
WHG 40.16
Caucausus_Hunter_Gatherer 12.41

Others were 0%

Ordas
21-01-18, 22:59
Hi my Results according to EEF-WHG-ANE test for Europeans.
Born in Hungarian part of Romania (Partium)

EEF 55.96 %
WHG 30.24 %
ANE 13.80 %

according to Eurogenes ANE K7

ANE 15.33
ASE 2.20

WHG/UHG 57.04

ENF 24.30

E-Eurasian 0
W-Afr 0.60
E-Afr 0.53




Gesendet von meinem SM-G903F mit Tapatalk

Linda Raymond
22-01-18, 03:22
EEF 45.15522
WHG 38.47854
ANE 16.36622
Polish/Lithuanian/German

Bygdedweller
21-07-19, 19:18
Norwegian with ancestry from eastern Norway.
(based on Eurogenes K13)

EEF 42.14
WHG 41.21
ANE 16.64

nornosh
22-07-19, 01:15
How much IE mix is there in Europeans if say person is
EEF 41
WHG 41
ANE 17

Joey37
24-07-19, 16:48
Eurogenes ANE K7
ANE-15.65
EEF-19.99
WHG-62.28
Predominantly Western European, Insular Celtic/West Germanic

gotouu21
24-07-19, 18:07
ANE

18.00



ASE

1.47



WHG-UHG

69.45



East_Eurasian

1.47



West_African

0.17



East_African

1.09



ENF

8.34



Eurogenes ANE K7

Lithuanian/Polish/?