What is your favorite genetic admixture calculator?

[The Exiled King]

I want to see what your favorites are. ;)

I will only allow one option to be chosen for the poll but if you like multiple ones pretty equally you can comment about them here.

I think some are better than others (mainly noise issues) but it is good to have competition so each new calculator(s) that come out become even more refined and accurate.

If I had to choose my #1 favorite I'd have to say Dodecad V3. But I like the Eurogenes K12 and Harappa World calculators almost equally as much.

[Atlantic Islander]

Eurogenes k12 & k12b, but I like them all.

[Maleficent]

I voted for Dodecad V3, even though my favorite is actually EUtest, but it's not included on the poll.

[Jackson]

Eurogenes EUtest, it seems to be the most reliable for a number of people, although Dodecad K12b is quite good.

[Mark]

I think they're all interesting and fun to use. I don't really have a favorite.

[Graham]

Eurogenes K36 & Eurogenes EUtest.

[xajapa]

Eurogenes EU best captures my ancestry.

[member]

Can anyone suggest calculator for determining foreign admixture coming from related ethnicity?

[Albion]

Just got my raw data from FTDNA (at last - been waiting since November!) and don't know where to start. What calculators should I use and where do I get them. I already downloaded DIY Dodecad V3 and Dodecad world 13, but where do I get these Eurogenes and EUtest ones from?

[Atlantic Islander]

Just got my raw data from FTDNA (at last - been waiting since November!) and don't know where to start. What calculators should I use and where do I get them. I already downloaded DIY Dodecad V3 and Dodecad world 13, but where do I get these Eurogenes and EUtest ones from?

http://bga101.blogspot.com/

[Atlantic Islander]

When I answered the first time there was no Eutest. My favorite is the Eutest, at least atm it is.

[Albion]

http://bga101.blogspot.com/

Do I have to use gedmatch (because it's down and has been for some time)?

[Vesuvian Sky]

Tough call as all offer unique perspectives on ones DNA not to mention it also depends on the person. But if I'd had to choose:

1) MDLP-22: pretty tight admixture results plus Oracle. Classed relatively cleanly for me plus getting scrutinized via 22 different reference sets and seeing how clean the results were was pretty impressive.

2)Dodecad V3: probably the best admix results per figuring out what was most "real" regarding my components from a more varied amount of largely defined regional categories but lost points due to Oracle coming out all over the place.

3) Eurogenes K9: Another good one for similar reasons above but slightly more simplified.

4) Eurogenes Hunter Gatherer: More for the concept then anything else.

[Jackson]

Do I have to use gedmatch (because it's down and has been for some time)?
It was up the other day and should be again within a day or two hopefully.
If you don't want to run your data yourself, i or a number of others here can as well.

[lamb]

Can somebody tell me where you download "Dodecad v3"?

[Maleficent]

Can somebody tell me where you download "Dodecad v3"?You can just download your raw data from 23andme and upload it to GEDMATCH (http://www.gedmatch.com). They have all the Eurogenes, Dodecad, MDLP, and Harappa calculators you need to run your genetic analysis.

[Damião de Góis]

Dodecad V3 gives me the best results on Oracle. The other ones give me some kind of random Oracle results.

[Atlantic Islander]

Dodecad V3 gives me the best results on Oracle. The other ones give me some kind of random Oracle results.

V3 doesn't work as well for me, it puts France before Spain. :cry2

[Damião de Góis]

V3 doesn't work as well for me, it puts France before Spain. :cry2

I guess K12b is also interesting because of the spanish regions, but it has one fatal mistake :p

http://oi42.tinypic.com/550x14.jpg

[Jackson]

Yeah Dodecad V3 is pretty inaccurate for me, and it will also be for everyone else who was not in the original run. Of course comparing it against others who were not in the original run it can be quite useful, so it's just the oracle really.

[MfA_]

Dodecad K12b, Eurogenes K12b, Harappa World respectively..

[Atlantic Islander]

I guess K12b is also interesting because of the spanish regions, but it has one fatal mistake :p

http://oi42.tinypic.com/550x14.jpg

Portugal is third for me in that one:

http://img849.imageshack.us/img849/6967/dodek12b.png

[Damião de Góis]

Actually since you are half Minhota (i think?), and since Extremadura is the spanish region closest to where my family is from... this could be not totally inaccurate.

[Atlantic Islander]

Actually since you are half Minhota (i think?), and since Extremadura is the spanish region closest to where my family is from... this could be not totally inaccurate.

Yeah, from Barcelos.
I don't think it's too off either.

[Atlantic Islander]

Polako said the EUtest is the most accurate.

[Jackson]

Polako said the EUtest is the most accurate.

Although he is of course biased, i have to agree with him, as it is the one that makes sense for all my family - especially on my mother's side where the foreign ancestry scales correctly over one generation, or pretty close (of course it won't be directly half because of recombination and all that).

[Damião de Góis]

Polako said the EUtest is the most accurate.

I guess the results are good too:

http://oi43.tinypic.com/9vfg34.jpg

I just don't get the Cornish-Romanian-Serbian-English sequence. If i'm closest to the Cornish, the English should come next, or are they that different?

[Jackson]

I guess the results are good too:

http://oi43.tinypic.com/9vfg34.jpg

I just don't get the Cornish-Romanian-Serbian-English sequence. If i'm closest to the Cornish, the English should come next, or are they that different?

It could be because they are Atlantic dominated and very slightly more southern, that is the only thing i can think of. Although i am surprised at the Serbian and Romanian, maybe you are slightly closer to other southern Europeans than the average Portuguese person?

[Damião de Góis]

It could be because they are Atlantic dominated and very slightly more southern, that is the only thing i can think of. Although i am surprised at the Serbian and Romanian, maybe you are slightly closer to other southern Europeans than the average Portuguese person?

I don't know, it's kind of surprising to me too that they are there, i was also curious about why the british nations were that far apart, also Scottland and Ireland.

[Jackson]

I don't know, it's kind of surprising to me too that they are there, i was also curious about why the british nations were that far apart, also Scottland and Ireland.

I think it is because of two main things - The Irish and Scottish (or many of them) pretty much always have more Atlantic than North Central Euro and also tend to having more East Euro than South Baltic, while England is the other way round, and Cornwall is in-between (It is Atlantic dominated but has more South Baltic than East Euro i think). Also i think Graham is correct when he says that the Scottish sample is probably not representative of the whole country, because it is very high in Atlantic, while f.e Graham is the opposite.

I guess you are closest to Cornish because they are Atlantic dominated and have more South Baltic than East Euro (which i think is the same for the Portuguese?).

[Atlantic Islander]

I guess the results are good too:

http://oi43.tinypic.com/9vfg34.jpg

I just don't get the Cornish-Romanian-Serbian-English sequence. If i'm closest to the Cornish, the English should come next, or are they that different?

Yes, first five are pretty good - after that it's a bit muddled.

http://i1302.photobucket.com/albums/ag131/FocalReady/eutest_zpsf040db34.png

[Ibericus]

I like Dodecad V3 is the most accurate, and it divides Europe in East,West,North instead of the usuarl North and Med. The EU test is also pretty good. The K12b I like because of the spanish regions.
The least accurate for me is MLDP, it gives me Swiss/North_Italian as my first population, and gives me half Iberian-half Balkanian options on the 2-mode population.

[alfieb]

lol polako sucks

[Atlantic Islander]

I like Dodecad V3 is the most accurate, and it divides Europe in East,West,North instead of the usuarl North and Med.

Accurate for some, not all. It tells me I'm closer to French than to Spanish lol. Oracle says French as well. :thumb down2

[Prince Carlo]

Eurogenes Eu test and Eurogenes k36. Dodecad uses questionable italian clusters.

[Jackson]

lol polako sucks

Seems the most reliable to me.

[Atlantic Islander]

5 for Dodecad V3? :blink:

[alfieb]

Eurogenes suuuuucks

[larali]

Aren't they all basically the same?

[Jackson]

Probably Eurogenes EUtest, EUtest V2 isn't as accurate for me personally but i guess it's not too different from the first iteration.

[Graham]

The newest one, K15 Eurogenes. Is the most accurate Admix run on Gedmatch. when it comes to the Oracle.

[Thor2009]

The newest one, K15 Eurogenes. Is the most accurate Admix run on Gedmatch. when it comes to the Oracle.

Agreed. The other calculators place me weirdly, but K15 Eurogenes agrees almost completely with McDonald and my ancestral background.

[Sehnsucht]

I'm going to have to go with the Eurogenes EUtest? Why? Because its oracle gave my mom 2.4 genetic distance to West & Central Germans

[Maleficent]

5 for Dodecad V3? :blink:
V3 and K12b are the best Dodecads, no? Anyway, I really love the new Eurogenes K15.

I'm going to have to go with the Eurogenes EUtest? Why? Because its oracle gave my mom 2.4 genetic distance to West & Central Germans
I think you should give identifying with the majority of your actual paper trail ancestry a try.

[Atlantic Islander]

V3

Not a fan of V3, I get France before Spain; twice.

[Atlantic Islander]

The newest one, K15 Eurogenes. Is the most accurate Admix run on Gedmatch. when it comes to the Oracle.

Yeah, the newest one is pretty good.

[Maleficent]

Not a fan of V3, I get France before Spain; twice.

I see. But don't you think the Admixture Proportions are pretty good?

[Atlantic Islander]

I see. But don't you think the Admixture Proportions are pretty good?

Yeah, the numbers are okay, but oracle is a mess.

[JQP4545]

None because there isn't a test that pinpoints specific genes from specific populations. If the tests cannot distinguish between Polish, German, or French then they aren't very accurate. Every single test gives me different results. Some say I'm mostly French, others mostly German, some Danish and Basque, some say there's Italian, other's say there's Cypriot...So the point is you cannot use the tests to determine Specific locations that your ancestors came from. Just because one test says on Oracle that you are 7% Serbian doesn't actually mean that 7% of your ancestors came from Serbia. So the tests are no good, they just tell me what I already know, that I'm mostly Northern Euro and Part Southern Euro.

[MfA_]

Admixture wise Dodecad/Eurogenes K12b and HarappaWorld.. Oracle wise Eurogenes K15 and HarappaWorld..

[Jackson]

None because there isn't a test that pinpoints specific genes from specific populations. If the tests cannot distinguish between Polish, German, or French then they aren't very accurate. Every single test gives me different results. Some say I'm mostly French, others mostly German, some Danish and Basque, some say there's Italian, other's say there's Cypriot...So the point is you cannot use the tests to determine Specific locations that your ancestors came from. Just because one test says on Oracle that you are 7% Serbian doesn't actually mean that 7% of your ancestors came from Serbia. So the tests are no good, they just tell me what I already know, that I'm mostly Northern Euro and Part Southern Euro.

Well you have to apply a level of interpretation. If you look at it logically, it generally makes sense unless there is a problem with the calculator itself.

[JQP4545]

They can give you an idea of, well lets say you are a quarter Dutch, a quarter German, a quarter Italian, and a quarter Polish. The tests will always say that you are about 25% Southern and 75% Northern European, but it will always give you some random populations. Maybe it will say you are 50% French, etc... The tests don't pinpoint specific nationalities. So how are they anymore useful than the ones you pay for on 23andMe which give you specific nationalites? Some test might say you are 2.33 percent Mozabite when really you are Italian, so what is the point?

[Jackson]

They can give you an idea of, well lets say you are a quarter Dutch, a quarter German, a quarter Italian, and a quarter Polish. The tests will always say that you are about 25% Southern and 75% Northern European, but it will always give you some random populations. Maybe it will say you are 50% French, etc... The tests don't pinpoint specific nationalities. So how are they anymore useful than the ones you pay for on 23andMe which give you specific nationalites? Some test might say you are 2.33 percent Mozabite when really you are Italian, so what is the point?

Well if you have a more complex ancestry the answer is going to be more complex too, but the answers do make logical sense. The populations it gives are based on their average scores compared to yours. So while it may for example say someone who is for example 75% British 25% Italian is actually French, but this makes logical sense.

[JQP4545]

Well if you have a more complex ancestry the answer is going to be more complex too, but the answers do make logical sense. The populations it gives are based on their average scores compared to yours. So while it may for example say someone who is for example 75% British 25% Italian is actually French, but this makes logical sense.

Don't the French have unique genes? I don't think they are 75% British and 25% Italian. Certain ethnicities have unique diseases and physical features, so a good test should be able to distinguish between these groups.

[Jackson]

Don't the French have unique genes? I don't think they are 75% British and 25% Italian. Certain ethnicities have unique diseases and physical features, so a good test should be able to distinguish between these groups.

Well you have to understand that everyone is on a genetic spectrum. These programs look at genetic components, and each group has a particular average composition, so if you are very close to their average composition you will show up as being similar to them, whether that's because that person is actually French, or because they are a mix of people that averages out close to the French average, it is not always able to tell. Although usually a mixed person will find that they are represented as (for example) something close to 75% British 25% Italian on the mixed mode, rather than just French. I would recommend the most recent Eurogenes tests as they have the best track record, especially when it comes to the mixed-mode oracle.

Basically your genetic profile is a numerical problem that the program solves by comparing it to other identities (country averages in this case) in it's database. It's purely a mathematical thing, and looks at ancestral components rather than diseases and physical features - which are usually less useful in distinguishing groups of people. I know that a good genetic calculator can place a person in their country without much trouble, and often the mixed mode is very close to reality.

[Ibericus]

Don't the French have unique genes? I don't think they are 75% British and 25% Italian. Certain ethnicities have unique diseases and physical features, so a good test should be able to distinguish between these groups.
Yes the french are their own ethnicity, however you being 75% brit and 25% italian the closest population to your average are the french that's why it shows up. Genetically it also makes sense as french ancestry would be like british but with a pull towards southern-Europe.

[Stormer99]

They can give you an idea of, well lets say you are a quarter Dutch, a quarter German, a quarter Italian, and a quarter Polish. The tests will always say that you are about 25% Southern and 75% Northern European, but it will always give you some random populations. Maybe it will say you are 50% French, etc... The tests don't pinpoint specific nationalities. So how are they anymore useful than the ones you pay for on 23andMe which give you specific nationalites? Some test might say you are 2.33 percent Mozabite when really you are Italian, so what is the point?

The Eurogenes tests have been much more accurate for me than 23andme.

[Alessio]

I think Harappa world is the worst for people of mixed southern European and Northern European ancestry..

Look at my Harappa results in mixed mode:

Using 2 populations approximation:
1 50% ashkenazy-jew +50% utahn-white @ 3.865
2 50% ashkenazi +50% french @ 4.000
3 50% ashkenazy-jew +50% british @ 4.071
4 50% italian +50% romanian-a @ 4.134
5 50% italian +50% serbian @ 4.304
6 50% ashkenazi +50% utahn-white @ 4.436
7 50% ashkenazy-jew +50% utahn-white @ 4.565
8 50% ashkenazi +50% british @ 4.712
9 50% ashkenazy-jew +50% n-european @ 4.923
10 50% hungarian +50% tuscan @ 4.996
71253 iterations.




I want to see what your favorites are. ;)

I will only allow one option to be chosen for the poll but if you like multiple ones pretty equally you can comment about them here.

I think some are better than others (mainly noise issues) but it is good to have competition so each new calculator(s) that come out become even more refined and accurate.

If I had to choose my #1 favorite I'd have to say Dodecad V3. But I like the Eurogenes K12 and Harappa World calculators almost equally as much.

[Alessio]

From Eurogenes I like Eurogenes EUtest k12b and k13 the most.
From dodecad I like V3, world 9 and k12b the most.
MDLP k12 and k10 is good enough.

[curupira]

Dodecad k12b.

[Jackson]

Eurogenes K13 is quite good, but EUtest version 1 is probably the most accurate, from what i can tell.

[Armatus]

EUtest V1 imho, since it's not an option i voted for MDLP, which is also relatively accurate.

[tamilgangster]

Harappa DNA, It actually has a seperate Onge component

[Wulf Talented]

What's the best calculator to take for a European - the most accurate?

[Jackson]

What's the best calculator to take for a European - the most accurate?

I'd recommend Eurogenes, but for two reasons in particular:
1) The Oracle doesn't suffer from the 'calculator effect' as most others. This basically means that people who weren't in the original run get pulled towards the middle of the populations, that caused a lot of confusion for a lot of people a little while back. In this case only the components are reliable, but you have to compare them with other people of known ancestry who were also not in the run - but in that respect it can be good. For example i really like some of the MDLP calculators and Dodecad ones, but they are only useful in this regard, not with the oracle.
2) At the higher Ks it breaks up some of the more closer-knit components like in the NW, East, SW of Europe for example.

The Eurogenes EUtest is probably the most accurate for all members of my family, but it's worth trying them all to see what they say (although bear in mind the calculator effect for other projects, which seems to be real from my experiences).

That said, it's worth reading the blogs of Dienekes, MDLP, Eurogenes and Harappa. Dienekes does a broader anthropology blog which relays really useful information and his take on them, and so does Eurogenes blog, but both have genetic projects (Dienekes' is called Dodecad).

[Wulf Talented]

I'd recommend Eurogenes, but for two reasons in particular:
1) The Oracle doesn't suffer from the 'calculator effect' as most others. This basically means that people who weren't in the original run get pulled towards the middle of the populations, that caused a lot of confusion for a lot of people a little while back. In this case only the components are reliable, but you have to compare them with other people of known ancestry who were also not in the run - but in that respect it can be good. For example i really like some of the MDLP calculators and Dodecad ones, but they are only useful in this regard, not with the oracle.
2) At the higher Ks it breaks up some of the more closer-knit components like in the NW, East, SW of Europe for example.

The Eurogenes EUtest is probably the most accurate for all members of my family, but it's worth trying them all to see what they say (although bear in mind the calculator effect for other projects, which seems to be real from my experiences).

That said, it's worth reading the blogs of Dienekes, MDLP, Eurogenes and Harappa. Dienekes does a broader anthropology blog which relays really useful information and his take on them, and so does Eurogenes blog, but both have genetic projects (Dienekes' is called Dodecad).

Thank you very much for the response Sir,

I have just re-taken the Jtest and EUtest. I took them once before and posted the results on here somewhere, but with a bit more understanding about population averages and etc, It seems like I might suffer the calculator affect... I come out slightly higher as North Central European for the J and EUTESTS than what my ( belonging to ) population average shows...

EUTEST ( original ) - NORTH-CENTRAL_EURO 34.20%

Population average for English - 29.67%

EUTEST v2 K15 NORTH-SEA 44.37%

Population Average for Southeast English - 35.52

JTEST NORTH-CENTRAL_EURO 34.01%

Population average for English - 29.44

[Jackson]

Thank you very much for the response Sir,

I have just re-taken the Jtest and EUtest. I took them once before and posted the results on here somewhere, but with a bit more understanding about population averages and etc, It seems like I might suffer the calculator affect... I come out slightly higher as North Central European for the J and EUTESTS than what my ( belonging to ) population average shows...

EUTEST ( original ) - NORTH-CENTRAL_EURO 34.20%

Population average for English - 29.67%

EUTEST v2 K15 NORTH-SEA 44.37%

Population Average for Southeast English - 35.52

JTEST NORTH-CENTRAL_EURO 34.01%

Population average for English - 29.44

I don't think you suffer the calculator effect for EUtest/Jtest because it doesn't occur on those tests, but i noticed before you are very high in this one component. Sometimes that happens i guess. It's probably going to make you look more Scandinavian (rather than Polish) than you'd expect but it's something youll have to bear in mind. Just think about it as - There's a lot of variation around the population averages, you just happen to be a small percentile that get significantly above average for this, although it should balance out overall in that you get lower than average for some other components i guess. For example both my grandparents have about average for that component, my father has about 2% above average, and the phased data file has about 3% above average (in the EUtest for example). It's interesting that the North Sea component in EUtest V2 K15 has a peak in Orkney, so it may just be saying that you have something that makes you look genetically more like the average Orcadian than most other English people do. Graham (a Scottish member here) also has a very high amount of that component on EUtest V2 K15, and i think his ancestry is from mainland Scotland, northern England and Shetland for the most part.

What you'd expect from the calculator effect i think is that you would be pulled towards the centre, so a lot of people from the British Isles come out something like 70% British 30% Hungarian, even if they are typical in other tests not affected.

[Wulf Talented]

I don't think you suffer the calculator effect for EUtest/Jtest because it doesn't occur on those tests, but i noticed before you are very high in this one component. Sometimes that happens i guess. It's probably going to make you look more Scandinavian (rather than Polish) than you'd expect but it's something youll have to bear in mind. Just think about it as - There's a lot of variation around the population averages, you just happen to be a small percentile that get significantly above average for this, although it should balance out overall in that you get lower than average for some other components i guess. For example both my grandparents have about average for that component, my father has about 2% above average, and the phased data file has about 3% above average (in the EUtest for example). It's interesting that the North Sea component in EUtest V2 K15 has a peak in Orkney, so it may just be saying that you have something that makes you look genetically more like the average Orcadian than most other English people do. Graham (a Scottish member here) also has a very high amount of that component on EUtest V2 K15, and i think his ancestry is from mainland Scotland, northern England and Shetland for the most part.

What you'd expect from the calculator effect i think is that you would be pulled towards the centre, so a lot of people from the British Isles come out something like 70% British 30% Hungarian, even if they are typical in other tests not affected.

It's very confusing, I understand that my Polish ancestry will pull me closer to continental Germanic populations, my Oracle results always have me Germanic predominantly. I once asked Davidski about it, my population distances were really distant in terms of genetic similarity - my first population being #1 Orcadian @ 8.708, so it's due to the Polish ancestry muffling it all up.

It's true that where I am significantly higher in North Euro results, my Atlantic/med results drop below the average.

An example using the EU vs K15 Test again -

Population average ( South east English ) - 29.86

Atlantic 20.62%

So does that mean the 34% North Euro is not legitimate... or it is but only due to Polish ancestry pulling it towards Poland?

It's been really difficult to distinguish my genetic make up so far due to this Polish ancestor. I'm not sure what the Admix calculators really do, are they suppose to show your genetic make up from specific areas in the world, be it distant or ancient ( I know that the bloggers try to get it through to the people that the populations shouldn't be taken seriously )? I'm trying my best to determine The Polish genetic make up, but 23andMe labelled him nonspecific Euro at 10% ( I assume it's him, rest is North Euro and like >0.1 North African, 0.1% unassgined, ), and FTDNA Family finder just isn't that good IMO. These calculators haven't helped, haha!

[Jackson]

It's very confusing, I understand that my Polish ancestry will pull me closer to continental Germanic populations, my Oracle results always have me Germanic predominantly. I once asked Davidski about it, my population distances were really distant in terms of genetic similarity - my first population being #1 Orcadian @ 8.708, so it's due to the Polish ancestry muffling it all up.

It's true that where I am significantly higher in North Euro results, my Atlantic/med results drop below the average.

An example using the EU vs K15 Test again -

Population average ( South east English ) - 29.86

Atlantic 20.62%

So does that mean the 34% North Euro is not legitimate... or it is but only due to Polish ancestry pulling it towards Poland?

It's been really difficult to distinguish my genetic make up so far due to this Polish ancestor. I'm not sure what the Admix calculators really do, are they suppose to show your genetic make up from specific areas in the world, be it distant or ancient ( I know that the bloggers try to get it through to the people that the populations shouldn't be taken seriously )? I'm trying my best to determine The Polish genetic make up, but 23andMe labelled him nonspecific Euro at 10% ( I assume it's him, rest is North Euro and like >0.1 North African, 0.1% unassgined, ), and FTDNA Family finder just isn't that good IMO. These calculators haven't helped, haha!

I think they are probably not helpful because your results don't seem what you'd expect for your ancestry. In theory your Baltic and Eastern Euro should be higher than average, your Atlantic and Mediterranean lower than average, and your North Sea/Central Euro about the same as average or lower. I'd have thought it's possible that your English ancestry is unusually northern/northwestern, and therefore an eastern pull is harder to see - but in reality the calculator still picks up an eastern pull, even if it just uses 'Orcadian' as the base population a lot of the time. But yeah it could be that both your English and Polish ancestors weren't typical of the average, so the result (British Isles and a pull to the east) can still be seen, but it's expressed in a different way perhaps. Either that or you just happened to get unusual results, would be useful if you had other family members go through it to see if it's easier to see in them other than yourself, because of course two people with the same ancestry (unless they are genetically identical twins i assume) can come out a bit differently on these calculators despite having the same ancestry, two different results of mixing the same things i guess - maybe you just got an unusual result rather than a more expected one?

[Jackson]

I think they are probably not helpful because your results don't seem what you'd expect for your ancestry. In theory your Baltic and Eastern Euro should be higher than average, your Atlantic and Mediterranean lower than average, and your North Sea/Central Euro about the same as average or lower. I'd have thought it's possible that your English ancestry is unusually northern/northwestern, and therefore an eastern pull is harder to see - but in reality the calculator still picks up an eastern pull, even if it just uses 'Orcadian' as the base population a lot of the time. But yeah it could be that both your English and Polish ancestors weren't typical of the average, so the result (British Isles and a pull to the east) can still be seen, but it's expressed in a different way perhaps. Either that or you just happened to get unusual results, would be useful if you had other family members go through it to see if it's easier to see in them other than yourself, because of course two people with the same ancestry (unless they are genetically identical twins i assume) can come out a bit differently on these calculators despite having the same ancestry, two different results of mixing the same things i guess - maybe you just got an unusual result rather than a more expected one?

It basically seems to pick up that you are atypical, and overall have a pull to the east, although because the distribution of your components is not what you'd expect of a mix of someone close to the English population average and the Polish population average, it has trouble identifying these two populations as the actual mixture.

[Wulf Talented]

I think in that case it may be best to have my father and mother tested, and then throw their results into the the Admix calculators. The Polish ancestry lies on my mother's side and my father I suspect to be entirely English for his ancestry lies soloely around South-East England. ( at least as far back as the late 1700's via a family tree.

Thank you Jackson!

[Graham]

Wulf Talented you score high North Sea in K15. Where in England are you from? Because it scores higher in the more Norse influenced Brits.

[Wulf Talented]

Wulf Talented you score high North Sea in K15. Where in England are you from? Because it scores higher in the more Norse influenced Brits.

My English ancestry for my father lies as far as I can trace back to South to South-East England. his ancestors were dotted between and around Kent, Sussex and the Isle of Wight. My Mother's English ancestry aside her Polish ancestry is Grantham, Nottingham, York, Northampton and Cambridge.

I was born in Kent, then ironically moved to Lincolnshire 5 years ago!

[paksaltopam]

MDLP because it's the only one that gets it right for me.

[safinator]

It's not on the list but K36 from Eurogenes is probably my favourite.

[Stanislav]

It's not on the list but K36 from Eurogenes is probably my favourite.

Sure!

[cally]

Eurogenes K13 and Dodecad V3 :)

[HellLander87]

K13

[Black Wolf]

K13

How come?

[Black Wolf]

Eurogenes K13 and Dodecad V3 :)

How come?

[cally]

How come?

They are the most accurate for me. Easy to interpret too.

[HellLander87]

How come?
I like the components it has,I think the number is fine and I find this calculator pretty robust.

[Reith]

Eurogenes K13 seems very accurate. I also liked the hunter/gatherer to find my %

[DanielJ1eH]

Eurogenes K13 and K15 are the best ones for Europeans. The EUtest is pretty fucking accurate as well.

[Jana]

I like Eurognes K15 and EU test.

[jtoml3]

EUtest and Jtest.

[firemonkey]

I would have to say Eurogenes K13 and 15. Eurogenes EU test and MDLP K23 are quite good too.

[Iloko]

Dodecad World 9

& Eurogenes K13

but more Dodecad World9

[Voskos]

Eurogenes K15, K13, AncestryDNA, ftdna myorigins.

[Petros Agapetos]

Eurogenes EUtest, it seems to be the most reliable for a number of people, although Dodecad K12b is quite good.

Guys, so if I were to order this DNA test, what kind of information would I gain about my ancestry?

I'm interested in finding out what kind of illnesses I am prone to. Will I find this out if I order the tests listed on the poll?

[Kriptc06]

MDPL and EUtest

[Nilotik]

https://images-na.ssl-images-amazon.com/images/I/71RH7Vj8FUL._SL1500_.jpg
TI-84 plus

[Voskos]

@nilotik

HAHAHAHA

[Wrong]

Everything. Combine Everything Into One And Create A Plotting Map :D

[pmv74]

Eurogenes k13, k15 and ancestry. 23 and me is pretty good as far as detecting the last 500 years back but not any farther


Sent from my iPhone using Tapatalk

[Erronkari]

MDLP 23b, MDLP K16 Modern, Puntdnal K15 and Dodecan World9 are the best in my humble opinión, but I like all them.

[Iloko]

puntDNAL calcs

[Jana]

MDLP K16 modern.

New, up-to-date, above average quality, precise.

[Voskos]

puntDNAL Africa

[TEUTORIGOS]

MDLP k23b 4 squared method, not single square method , seems to nail my ethnicity more or less :

1 CEU_ + Irish_ + Irish_ + North_German_ @ 1.867592

The Central European is really like Southern German/French (Alsace-Lorraine) and the North German should probably be British Saxon(England)+Scandinavian ( via Scotland)but these calculators aren't perfect but that is close enough to being perfect. It is good I know my ancestry so I can interpret it correctly.

So a perfect calculator would say :

Germanic/French/AlsaceLorraine(CEU)-Irish+Irish+Saxon/Scandinavian

[Köstebek]

Eurogenes K15

[TEUTORIGOS]

MDLP k23b 4 squared method, not single square method , seems to nail my ethnicity more or less :

1 CEU_ + Irish_ + Irish_ + North_German_ @ 1.867592

The Central European is really like Southern German/French (Alsace-Lorraine) and the North German should probably be British Saxon(England)+Scandinavian ( via Scotland)but these calculators aren't perfect but that is close enough to being perfect. It is good I know my ancestry so I can interpret it correctly.

So a perfect calculator would say :

Germanic/French/AlsaceLorraine(CEU)-Irish+Irish+Saxon/Scandinavian




MDLP k16 modern is not that bad either :

1 French_France + Irish_Cork_Kerry + Irish_Cork_Kerry + Scottish_Argyll_bute @ 2.033016

[Dick]

MDLP k16 modern is not that bad either :

1 French_France + Irish_Cork_Kerry + Irish_Cork_Kerry + Scottish_Argyll_bute @ 2.033016

Mine is spot on :rolleyes:


Using 2 populations approximation:
1 50% Norwegian_Norwegia +50% Greek_Macedonia @ 2.891585


Using 3 populations approximation:
1 50% Norwegian_Norwegia +25% Serbian_Bosnia-Herzegovina +25% Turk_Trabzon @ 2.205396


Using 4 populations approximation:

1 Icelandic_Iceland + Norwegian_Norwegia + Serbian_Bosnia-Herzegovina + Turk_Trabzon @ 2.251399

[TEUTORIGOS]

Eurogenes K15

I read on Davidski's blog that k15 is simply EUTEST + Amerindian samples and that K13 has added Asian samples. Since, I don't have Amerindian ancestry I don't find K15 that accurate :


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++
1 East_German + Orcadian + Orcadian + Orcadian @ 2.377470
2 East_German + Orcadian + Orcadian + Southwest_English @ 2.603018
3 East_German + Orcadian + Orcadian + Southeast_English @ 2.744400
4 East_German + Orcadian + Orcadian + West_Scottish @ 2.762994
5 Norwegian + Orcadian + South_Dutch + Southwest_English @ 2.777089
6 North_Swedish + Orcadian + Southwest_English + Southwest_English @ 2.829644
7 East_German + Irish + Orcadian + Orcadian @ 2.862946
8 Orcadian + South_Dutch + Southwest_English + West_Norwegian @ 2.889061
9 Norwegian + Orcadian + Orcadian + South_Dutch @ 2.926053
10 North_German + Orcadian + Southwest_English + Southwest_English @ 2.937662
11 North_Dutch + Orcadian + Orcadian + South_Dutch @ 2.940629
12 North_German + Southwest_English + Southwest_English + West_Norwegian @ 2.952824
13 Norwegian + Orcadian + Southwest_English + Southwest_English @ 2.953074
14 Norwegian + Orcadian + South_Dutch + Southeast_English @ 2.953712
15 Irish + Norwegian + Orcadian + South_Dutch @ 2.984510
16 Orcadian + South_Dutch + Southwest_English + Swedish @ 2.992187
17 North_German + Orcadian + Orcadian + South_Dutch @ 2.993653
18 North_German + Norwegian + Southwest_English + Southwest_English @ 3.000836
19 Norwegian + Southeast_English + Southwest_English + Southwest_English @ 3.004843
20 Norwegian + Southwest_English + Southwest_English + West_Scottish @ 3.006466

[FroZzenMind]

V3 is the best

[MysteriousWays]

puntDNAL k15

[Hadouken]

putndnal k15

eurogenes k13

eurasia k9 asi

we wuz scythian n shiet calculator - https://www.theapricity.com/forum/showthread.php?209294-Post-Iran-Neolithic-K6-Calculator-results

dodecad v3

[TEUTORIGOS]

V3 is the best

I think Dodecad might be better for southern Euros but not sure. Different calculators will be more accurate for different people. That being said V3 is not bad, per se, for me, it has my number one closest single population probably correct :

Using 1 population approximation:
1 Argyll_1000 Genomes @ 2.249808 (Argyll is is in Scotland)
2 N._European_Xing @ 2.591351
3 Orkney_1000 Genomes @ 3.121784
4 Orcadian_HGDP @ 3.307065
5 CEU_HapMap @ 4.024599


It screws up on the four population mode because I have no Slovenian or anything close to it ancestry. Otherwise , besides that, it is pretty correct :

1 Cornwall_1000 Genomes + Dutch_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.836259
2 British_Dodecad + Dutch_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.840761
3 British_Isles_Dodecad + Dutch_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.857442
4 Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + N._European_Xing @ 1.886804
5 Mixed_Germanic_Dodecad + Argyll_1000 Genomes + N._European_Xing + N._European_Xing @ 1.902254
6 Cornwall_1000 Genomes + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.908361
7 British_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.908643
8 Kent_1000 Genomes + Kent_1000 Genomes + Argyll_1000 Genomes + Slovenian_Xing @ 1.923346
9 Dutch_Dodecad + Irish_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.935454
10 Dutch_Dodecad + Kent_1000 Genomes + Argyll_1000 Genomes + Slovenian_Xing @ 1.938373
11 British_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Slovenian_Xing @ 1.941690
12 Kent_1000 Genomes + Kent_1000 Genomes + N._European_Xing + Slovenian_Xing @ 1.962639
13 Irish_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.963661
14 Cornwall_1000 Genomes + Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Slovenian_Xing @ 1.965882
15 British_Isles_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.966242
16 British_Dodecad + Kent_1000 Genomes + Argyll_1000 Genomes + Slovenian_Xing @ 1.968178
17 CEU_HapMap + Irish_Dodecad + Mixed_Germanic_Dodecad + Slovenian_Xing @ 1.977643
18 British_Isles_Dodecad + Kent_1000 Genomes + Argyll_1000 Genomes + Slovenian_Xing @ 1.982189
19 British_Isles_Dodecad + Dutch_Dodecad + N._European_Xing + Slovenian_Xing @ 1.984521
20 British_Dodecad + Dutch_Dodecad + N._European_Xing + Slovenian_Xing @ 1.990038

[Ion Basescul]

Basal K7 easily

[Voskos]

E-V13.

[Medcrown]

Basal-rich K7 seems to be the most conclusive test to date for ancient, Global 10 for modern.

[Iloko]

puntDNAL K15:

Admix Results (sorted):

# Population Percent
1 E_Asian 81.58
2 S_Indian 7.31
3 Oceanian 3.87
4 Caucasian 1.57
5 NE_European 1.48
6 Mediterranean 1.39
7 Amerindian 1.16
8 W_African 0.47
9 Beringian 0.45
10 Horn_Of_Africa 0.3
11 Wht_Nile_River 0.22
12 S_African 0.2

Single Population Sharing:

# Population (source) Distance
1 Vietnamese 5
2 Thai 7.62
3 Chinese 11.42
4 Cambodian 12.44
5 Japanese 18.43
6 Burmese 21.58
7 Mongolian 45.25
8 Hazara 52.59
9 Uyghur 54.1
10 Turkmen 67
11 Koryak 68.63
12 Uzbek 74.54
13 Nogai 76.34
14 Bashkir 78.13
15 Tadjik 80.24
16 Romani 82.88
17 Burusho 84.1
18 Tatar 85.73
19 Turk_Aydin 86.17
20 Yemeni 86.77

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.1% Cambodian + 39.9% Japanese @ 2.98
2 95.9% Vietnamese + 4.1% Greek_Thessaly @ 3.12
3 95.8% Vietnamese + 4.2% Greek_Central @ 3.13
4 95.9% Vietnamese + 4.1% Romanian @ 3.13
5 95.5% Vietnamese + 4.5% Romani @ 3.14
6 95.9% Vietnamese + 4.1% Bulgarian @ 3.14
7 95.9% Vietnamese + 4.1% Chechen @ 3.16
8 96% Vietnamese + 4% Lezgin @ 3.16
9 95.9% Vietnamese + 4.1% Greek_Athens @ 3.17
10 96% Vietnamese + 4% Serbian @ 3.17
11 96% Vietnamese + 4% Tuscan @ 3.17
12 95.9% Vietnamese + 4.1% Mexican @ 3.2
13 95.8% Vietnamese + 4.2% Balkar @ 3.2
14 95.9% Vietnamese + 4.1% Ashkenazy_Jew @ 3.2
15 96.1% Vietnamese + 3.9% Italian @ 3.22
16 95.9% Vietnamese + 4.1% North_Ossetian @ 3.22
17 96% Vietnamese + 4% Sicillian @ 3.23
18 96.2% Vietnamese + 3.8% Slovenian @ 3.23
19 96.2% Vietnamese + 3.8% French @ 3.23
20 95.9% Vietnamese + 4.1% Kumyk @ 3.23

[Swahili_sultan]

PuntDNAL K12 Modern


87.3%NE_Bantu+12.7%Somali_Benadiri@3.572
92.4%NE_Bantu+7.6%Bengali_Muslim@3.963
93.2%NE_Bantu+6.8%Paniya@3.99492.7%NE_Bantu+7.3%Ta mil_Nadu@4.025
92.6%NE_Bantu+7.4%Keralam@4.046
93.1%NE_Bantu+6.9%Hakkipikki@4.057
92.7%NE_Bantu+7.3%Gujarati@4.218
92.5%NE_Bantu+7.5%UP_Muslim@4.289
92.5%NE_Bantu+7.5%Punjabi_Jatt_Muslim@4.3510
92.6%NE_Bantu+7.4%Kashmir@4.451192.7%NE_Bantu+7.3% Sindhi@4.541292.6%NE_Bantu+7.4%Punjabi_Jatt_Sikh@4 .5613
92.6%NE_Bantu+7.4%Haryana_Jatt@4.5814
84.9%NE_Bantu+15.1%Somali@4.6115
92.6%NE_Bantu+7.4%Burusho@4.6516
85.8%NE_Bantu+14.2%Oromo@4.651787.3%NE_Bantu+12.7% Ethiopian@4.7118
77.8%Esan+22.2%Somali_Benadiri@4.7419
91.1%NE_Bantu+8.9%Yemeni@4.7620
92.8%NE_Bantu+7.2%Pathan@4.8



Sent from my SM-G920F using Tapatalk

[Swahili_sultan]

The other post wasnt clear) but PuntDNAL K12 moderns my fave :)https://uploads.tapatalk-cdn.com/20171207/bc281b38529e2dea25b77897c6b01daa.jpg

Sent from my SM-G920F using Tapatalk

[Hamlet]

Still V3, all the way

[Peterski]

Still V3, all the way

V3 is not very accurate for me when it comes to Single Population Sharing:

Admix Results (sorted):

# Population Percent
1 West_European 42.83
2 East_European 28.7
3 Mediterranean 18.9
4 West_Asian 8.77
5 South_Asian 0.44
6 Southwest_Asian 0.31
7 East_African 0.05

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 7.86
2 Hungarians (Behar) 8.24
3 German (Dodecad) 14.35
4 Polish (Dodecad) 16.85
5 Mixed_Slav (Dodecad) 17.26
6 FIN (1000Genomes) 17.95
7 N._European (Xing) 19.63
8 Argyll (1000 Genomes) 19.74
9 CEU (HapMap) 19.78
10 Balkans (Dodecad) 20.02
11 Orcadian (HGDP) 20.72
12 Orkney (1000 Genomes) 20.87
13 Finnish (Dodecad) 20.91
14 Russian (Dodecad) 22.37
15 Romanians_14 (Behar) 24.09
16 Russian (HGDP) 25.75
17 Swedish (Dodecad) 26.01
18 Mixed_Germanic (Dodecad) 26.19
19 French (Dodecad) 27.3
20 French (HGDP) 27.67

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.4% Mixed_Slav (Dodecad) + 39.6% Mixed_Germanic (Dodecad) @ 2.15
2 53.4% Mixed_Slav (Dodecad) + 46.6% Argyll (1000 Genomes) @ 2.33
3 53.3% Mixed_Slav (Dodecad) + 46.7% N._European (Xing) @ 2.53
4 62% Mixed_Slav (Dodecad) + 38% Dutch (Dodecad) @ 2.7
5 54.7% Mixed_Slav (Dodecad) + 45.3% Orcadian (HGDP) @ 2.74
6 53.5% Mixed_Slav (Dodecad) + 46.5% CEU (HapMap) @ 2.75
7 54.8% Mixed_Slav (Dodecad) + 45.2% Orkney (1000 Genomes) @ 2.79
8 54.7% German (Dodecad) + 45.3% Mixed_Slav (Dodecad) @ 2.82
9 63.6% Mixed_Slav (Dodecad) + 36.4% Kent (1000 Genomes) @ 2.92
10 65.4% Mixed_Slav (Dodecad) + 34.6% Cornwall (1000 Genomes) @ 3.13
11 61.1% Polish (Dodecad) + 38.9% Mixed_Germanic (Dodecad) @ 3.14
12 52.1% Mixed_Germanic (Dodecad) + 47.9% Belorussian (Behar) @ 3.19
13 64.9% Mixed_Slav (Dodecad) + 35.1% British (Dodecad) @ 3.32
14 53.1% CEU (HapMap) + 46.9% Russian (Dodecad) @ 3.33
15 53.9% Polish (Dodecad) + 46.1% N._European (Xing) @ 3.35
16 59.4% N._European (Xing) + 40.6% Belorussian (Behar) @ 3.36
17 59.3% Argyll (1000 Genomes) + 40.7% Belorussian (Behar) @ 3.37
18 54.1% Polish (Dodecad) + 45.9% Argyll (1000 Genomes) @ 3.42
19 64.5% Mixed_Slav (Dodecad) + 35.5% British_Isles (Dodecad) @ 3.42
20 74.5% Slovenian (Xing) + 25.5% Finnish (Dodecad) @ 3.49

[Blanka]

MDLP. They're all fun to try out, but MDLP is better for the north east corner of Europe.

[WillyWonka]

MDLP and all of the Eurogene's versions

[Decius]

K13

[JohnSmith]

My Sperm is the best genetic admixture calculator. It makes good looking offspring, lol.

[Gangrel]

MDLP K23B

[greasycaveman]

My Sperm is the best genetic admixture calculator. It makes good looking offspring, lol.

john, that didnt make sense

[JohnSmith]

john, that didnt make sense

It is a joke just leave it at that.

[Kriptc06]

PuntDNAL K13, the bst for me, very acurate and gives me one @0.9 which is very correct for what I know of myself;

[Freeroostah]

I vote for MDLP K23b
They should create similarity maps with this calculator, just like they have for the K36 one

[MysteriousWays]

I also vote for MDLP k23b. I hate Eurogenes in general.

[torgun0010]

I have found MDLP to be better for people who are mixed between many different ethnic backgrounds to be most accurate also puntdnal works well

[calxpal]

I think all of them are awesome, but I think the Eurogenes Hunter Gatherer Versus Farmer one is the neatest :thumb001:. I do have to say though that I also really liked the DNA Tribes SNP Analysis regional breakdowns.

[Congolese Rice]

For me personally from best to worst:


Gedrosia, Dodecad, MDLP, PuntDNAL, HarappaWorld, Eurogenes.


But if i had to pick 3 specific calculators it would be Eurasia K9 ASI, Dodecad Africa9, and MDLP World-22, mainly Gedrosia is most accurate for me anyhow because it calculates my percentages veryyy accurately, i have 21% known West African, roughly 25-26% Broadly african if you include my North or East african. It also shows me good percentages for my European that correlate with my personal research and calculations, and for the most part my Native american and Middle eastern percentages are also very accurate on Gedrosia.

If i also had to pick another test it would actually be EthioHelix K10 + French because it divides my african very well.


Eurogenes just usually gives me very low percentages on my Middle eastern, overestimates my Mediterranean ancestry which should mean that it thinks most of my MENA is Mediterranean. My known Mediterranean/Hispanic/French ancestry shouldn't be any higher than 3-6% MAX.

[Congolese Rice]

I also vote for MDLP k23b. I hate Eurogenes in general.

I agree with you haha, Eurogenes sucks at guessing my ethnicities ESPECIALLY in the oracles and percentages. For example as you can see i have around 14-22% definite middle eastern ancestry, look at what the K13 test does to me.

========

Eurogenes K13 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 North_Atlantic 36.91
2 Sub-Saharan 24.56
3 Baltic 17.91
4 West_Med 5.56
5 East_Med 4.28
6 Red_Sea 3.55
7 Amerindian 1.99
8 East_Asian 1.58
9 South_Asian 1.40
10 West_Asian 1.23


Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 West_German @ 28.259190
2 South_Dutch @ 28.633154
3 North_German @ 29.317526
4 French @ 29.674717
5 Austrian @ 29.837809
6 Danish @ 30.107670
7 Southeast_English @ 30.237770
8 North_Dutch @ 30.339176
9 East_German @ 30.378429
10 Orcadian @ 30.456604
11 Swedish @ 30.623066
12 Hungarian @ 30.932800
13 Southwest_English @ 30.994549
14 Irish @ 31.023943
15 West_Scottish @ 31.218449
16 Norwegian @ 31.218840
17 North_Swedish @ 32.172626
18 Spanish_Galicia @ 32.790688
19 Portuguese @ 32.975872
20 Serbian @ 33.082039

Using 2 populations approximation:
1 50% Bantu_N.E. +50% Norwegian @ 20.773352


Using 3 populations approximation:
1 50% Danish +25% Southeast_English +25% Yoruban @ 6.055470


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++
1 Danish + Danish + Southeast_English + Yoruban @ 6.055470
2 Danish + Danish + Southeast_English + Yoruban @ 6.055470
3 Danish + Danish + Danish + Yoruban @ 6.081134
4 Danish + Danish + Danish + Yoruban @ 6.081134
5 Danish + North_German + Southeast_English + Yoruban @ 6.108428
6 Danish + North_German + Southeast_English + Yoruban @ 6.108428
7 Danish + Danish + North_Dutch + Yoruban @ 6.125859
8 Danish + Danish + North_Dutch + Yoruban @ 6.125859
9 Danish + North_Dutch + Southeast_English + Yoruban @ 6.132771
10 Danish + North_Dutch + Southeast_English + Yoruban @ 6.132771
11 Danish + Danish + Orcadian + Yoruban @ 6.155766
12 Danish + Danish + Orcadian + Yoruban @ 6.155766
13 North_Dutch + North_German + Southeast_English + Yoruban @ 6.177406
14 North_Dutch + North_German + Southeast_English + Yoruban @ 6.177406
15 Danish + Danish + North_German + Yoruban @ 6.178460
16 Danish + Danish + North_German + Yoruban @ 6.178460
17 Danish + North_German + Orcadian + Yoruban @ 6.180493
18 Danish + North_German + Orcadian + Yoruban @ 6.180493
19 Danish + North_German + West_Scottish + Yoruban @ 6.180878
20 Danish + North_German + West_Scottish + Yoruban @ 6.180878

Done.



^ look at the oracle distances, it makes me wanna cry XD also if i have scandinavian it isn't any more than 1-2% so this is inaccurate for me obviously

[AtlantoMediterranean]

Eurogenes K13 & K36.

[Neon Knight]

If they ever produce one which works consistently for everbody then that will be my favourite.

[Bogdan]

Eurogenes K13 and Eurogenes EUtest V2 K15

[Lauχum]

Eurogenes K13 and K15.

[Kaspias]

MDLP K16, MDLP K23b, PuntDNAL K15, Eurogenes K13.

[Vasconcelos]

Eurogenes K15 and K13. They also yield similar results (for me) to the newer Global 25 which just further reinforces their quality, despite being aged

[Erronkari]

The new calculators made by Mlucasz and Davidski and especially based in nMonte system.
Properly calculators of Gedmatch are in general ambiguous and a little obsolete at least the racial part.
The most specifical side of these calculators (region/country) seems quite accurate though.
I like k15 mostly.

[Marsh]

Where is Eurogenes K36 ?

[nittionia]

mdlp k23b and k16 at the moment

[Lemgrant]

PuntDNAL K15, MDLP K16, Eurogenes K13

[HeliFr33k]

I think I like FamilyTree and EUtest from GEDMatch the most, and maybe 1 more test from there. I feel like they represent me the best, MyHeritage has weird percentages and regional calculators that don't make any sense.

[Daco Celtic]

Eurogenes K13 and K15

[Nordarya]

As for Gedmatch apps, my favourite and most accurate is MDLP K23b, although I know Eurogenes K13 is very popular. I've noticed that there is a difference in single populations between Oracle (more accurate) and Oracle+4 (a little off). I don't bother with pie chart and percentages, because distance plotting reveals my nearest ethnicities within 20 spaces and in this case, matches my family tree.


MDLP K23b Oracle


The only app matching my family tree. First seven places are more or less the same.


Living DNA


Single Population Sharing:


# Population (source) Distance
1 English_Kent_GBR ( ) 2.85
2 Frisian ( ) 3.37
3 Belgian ( ) 3.49
4 Irish ( ) 3.58
5 English ( ) 3.71
6 English_Cornwall_GBR ( ) 4
7 North_European ( ) 4.75
8 CEU ( ) 5.29
9 Welsh ( ) 5.31
10 British ( ) 5.39
11 French ( ) 6.93
12 Dutch ( ) 7.12
13 Norwegian_East ( ) 7.38
14 South_German ( ) 7.78
15 Norwegian_West ( ) 8.07
16 Scottish_Argyll_Bute_GBR ( ) 8.71
17 Swede ( ) 8.75
18 German-Volga ( ) 8.96
19 North_German ( ) 9.02
20 Dane ( ) 9.24


Ancestry DNA


Single Population Sharing:


# Population (source) Distance
1 Frisian ( ) 2.6
2 Belgian ( ) 3.31
3 Irish ( ) 3.5
4 English ( ) 4.38
5 English_Kent_GBR ( ) 4.49
6 English_Cornwall_GBR ( ) 5.52
7 North_European ( ) 5.77
8 Dutch ( ) 6.37
9 CEU ( ) 6.74
10 South_German ( ) 6.79
11 Welsh ( ) 6.83
12 British ( ) 6.89
13 German-Volga ( ) 7.82
14 Norwegian_East ( ) 7.86
15 French ( ) 8.26
16 North_German ( ) 8.36
17 Swede ( ) 8.86
18 Dane ( ) 9.05
19 Norwegian_West ( ) 9.19
20 Scottish_Argyll_Bute_GBR ( ) 9.95



K13 is consistent except for the flip between fourth and fifth groups. K15 is only good for the first two groups. I don't know why anyone thinks it's better to have their top proximity single population at 3.0 or further off, when K23b gives about 2.75. MDLP doesn't waste my time with ancestry before the 15th century. Furthermore, what's the point of Oracle+4, in chasing crazy admix configurations between two, three, or four populations that don't fit?


K13


Living DNA


Single Population Sharing:


# Population (source) Distance
1 Southeast_English 3.09
2 South_Dutch 4.44
3 Southwest_English 5.15
4 Orcadian 5.3
5 West_German 5.66
6 North_Dutch 6.17
7 Danish 6.35
8 Irish 6.58
9 West_Scottish 6.64
10 North_German 6.83
11 Norwegian 8.51
12 French 9.19
13 Swedish 10.02
14 Austrian 12.13
15 East_German 12.95
16 North_Swedish 15.15
17 Spanish_Cataluna 16.24
18 Hungarian 16.67
19 Spanish_Castilla_Y_Leon 17.41
20 Spanish_Galicia 17.67


Ancestry DNA


Single Population Sharing:


# Population (source) Distance
1 Southeast_English 3.23
2 South_Dutch 4.07
3 Southwest_English 5.17
4 West_German 5.24
5 Orcadian 5.52
6 North_Dutch 6.36
7 Danish 6.6
8 Irish 6.71
9 West_Scottish 6.81
10 North_German 6.93
11 Norwegian 8.78
12 French 8.79
13 Swedish 10.29
14 Austrian 12.03
15 East_German 12.96
16 North_Swedish 15.43
17 Spanish_Cataluna 15.88
18 Hungarian 16.58
19 Spanish_Castilla_Y_Leon 17.05
20 Spanish_Galicia 17.36


K15


Living DNA


Single Population Sharing:


# Population (source) Distance
1 Southwest_English 3.1
2 Southeast_English 3.99
3 South_Dutch 5.33
4 Danish 5.73
5 North_Dutch 5.82
6 West_Scottish 5.92
7 Irish 5.93
8 Orcadian 6.31
9 West_German 6.37
10 North_German 6.75
11 Norwegian 8.1
12 French 8.88
13 West_Norwegian 9.06
14 Swedish 9.69
15 North_Swedish 11.74
16 East_German 12.16
17 Southwest_Finnish 16.11
18 Austrian 16.21
19 Spanish_Galicia 16.34
20 Spanish_Cataluna 16.43


Ancestry DNA


Single Population Sharing:


# Population (source) Distance
1 Southwest_English 3.29
2 Southeast_English 4.34
3 North_Dutch 5.75
4 Orcadian 5.86
5 Danish 5.91
6 South_Dutch 5.99
7 West_German 6.05
8 West_Scottish 6.09
9 Irish 6.24
10 North_German 7.19
11 Norwegian 7.83
12 West_Norwegian 8.57
13 French 9.23
14 Swedish 9.54
15 North_Swedish 11.83
16 East_German 12.73
17 Spanish_Galicia 16.69
18 Southwest_Finnish 16.69
19 Austrian 16.96
20 Spanish_Cataluna 16.98

For K15, it seems that the first five approximations are more or less the same.


Living DNA


Single Population Sharing:


# Population (source) Distance
1 French (France) 3.12
2 English (Kent) 3.77
3 French (WestFrance) 3.83
4 Scottish (Grampian) 4.08
5 Irish (Connacht) 4.2
6 English (Cornwall) 4.37
7 English (England) 4.49
8 Irish (Cork_Kerry) 4.5
9 Scottish (Highlands) 4.52
10 Irish (Leinster) 4.53
11 Irish (Ulster) 4.75
12 Scottish (Fife) 4.79
13 German (Germany) 4.88
14 Scottish (Dumfries_Galloway) 4.89
15 Shetlandic (Shetland_Islands) 5.14
16 Irish (Munster) 5.2
17 Scottish (Borders) 5.23
18 French (NorthwestFrance) 5.65
19 French (EastFrance) 6.06
20 Welsh (Wales) 6.3


Ancestry DNA


Single Population Sharing:


# Population (source) Distance
1 French (WestFrance) 3.19
2 Scottish (Grampian) 3.4
3 English (Kent) 3.43
4 French (France) 3.5
5 Irish (Connacht) 3.58
6 English (England) 3.68
7 Scottish (Highlands) 3.83
8 Irish (Leinster) 3.83
9 Irish (Cork_Kerry) 3.83
10 English (Cornwall) 3.87
11 Scottish (Fife) 3.99
12 Irish (Ulster) 4.06
13 Scottish (Dumfries_Galloway) 4.12
14 Shetlandic (Shetland_Islands) 4.38
15 Irish (Munster) 4.43
16 Scottish (Borders) 4.53
17 German (Germany) 4.65
18 French (NorthwestFrance) 5.35
19 Welsh (Wales) 5.73
20 French (EastFrance) 5.8

Top Oracle results for LDNA per app [Brackets where ADNA is different]:


MDLP K11 Modern: British_Celtic @ 4.159802 (Oracle+4)
MDLP K16 Modern: French (France) 3.12 [ADNA: French (WestFrance)]
MDLP K23b: English_Kent_GBR ( ) 2.85 [ADNA: Frisian]
MDLP World-22: CEU (derived) 4.57 [ADNA: German-South (derived)]
MDLP World: Austrian 2.5


Eurogenes K13: Southeast_English 3.09
Eurogenes EUtest V2 K15: Southwest_English 3.1
Jtest: English 3.74
EUtest: English 3.65


Dodecad V3: CEU (HapMap) 2.89
Africa9: North_Italian 4.86
World9: Mixed_Germanic 2.79
Dodecad K7b: Mixed_Germanic 3.33
Dodecad K12b: Mixed_Germanic (Dodecad) 4.42


HarappaWorld: utahn-white (1000genomes) 4.43 [ADNA: french]


EthioHelix K10 + French: french 25.24
EthioHelix K10 + Japanese: egypt 6.33
EthioHelix K10 + Palestinian: morocco-n 6.81
EthioHelix K10 Africa Only: algeria 8.46


puntDNAL K10 Ancient: German_South 2.8 [ADNA: Croatian]
puntDNAL K12 Ancient: Alberstedt_LN_I0118 5.7
puntDNAL K12 Modern: German_South 2.22 [ADNA: Belgian]
puntDNAL K13 Global: German_South 3.72
puntDNAL K15: Utahn_White 2.94
puntDNAL K8 African only: Egyptian 4.31


Gedrosia K3: French @ 0.000000 (Oracle+4) [ADNA: Albanian]
Gedrosia K12: Norwegian 16.82
Ancient Eurasia K6: Hungarian 1.81

[Leto]

I don't bother with pie chart and percentages, because distance plotting reveals my nearest ethnicities within 20 spaces and in this case, matches my family tree.

Please share your admixture proportions from Eurogenes K13, K15 and Dodecad K12b. I'd like to take a look.

[Nordarya]

Please share your admixture proportions from Eurogenes K13, K15 and Dodecad K12b. I'd like to take a look.

I deleted my data twice. I'm sorry, but I only saved the single population distances, which mostly approximate my family tree. For instance, MDLP K23b shows the four closest ethnic groups in recent generations found in my family tree: English, Frisian (Dutch New York), Belgian (French Québec) and Irish. My Austro-Bavarian ancestry is further back, but tops other calculators. I don't put much stock in percentages and pie charts. I don't even do combination of multiple populations, when the top single approximations already match known paperwork. I don't know why some people would rather get bogged down in speculation on the implications of minutia rather than see the forest for the trees. I know the reason why I don't have closer distances with any one of those single populations, is because of admix between them, hence the Mixed Germanic, Utahn White and CEU categories, typical of Americans.

[Leto]

I deleted my data twice. I'm sorry, but I only saved the single population distances, which mostly approximate my family tree. For instance, MDLP K23b shows the four closest ethnic groups in recent generations found in my family tree: English, Frisian (Dutch New York), Belgian (French Québec) and Irish. My Austro-Bavarian ancestry is further back, but tops other calculators. I don't put much stock in percentages and pie charts. I don't even do combination of multiple populations, when the top single approximations already match known paperwork. I don't know why some people would rather get bogged down in speculation on the implications of minutia rather than see the forest for the trees. I know the reason why I don't have closer distances with any one of those single populations, is because of admix between them, hence the Mixed Germanic, Utahn White and CEU categories, typical of Americans.
Alright, son. At least you are one of us, aR1ans :cool:

There are Gedmatch calcs on yourDNAportal.com by the way, if you don't want to keep your data on GM.

[Nordarya]

Alright, son. At least you are one of us, aR1ans :cool:

There are Gedmatch calcs on yourDNAportal.com by the way, if you don't want to keep your data on GM.

Yes, we can be Hippie Nazis and Nazi Hippies. Are they passing out Swastikas at this party? Where can I get one?

Your DNA Portal is nice and up to date. I did that one twice. Their models simplify the approximations, but aren't much better than Gedmatch for the reference populations used for percentages.

[Nordarya]

I just had a dyslexic moment, because I saw the title of this thread and thought: "gender admixture calculator", which doesn't seem too far-fetched a thing these days!

[Nordarya]

Alright, son. At least you are one of us, aR1ans :cool:

There are Gedmatch calcs on yourDNAportal.com by the way, if you don't want to keep your data on GM.
I dug this out of my files, from Your DNA Portal:

DNA: Living | Ancestry
K36: SZ3_Longobard 0.8102395 | SZ23_Longobard 0.6658806
EUtest: English 0.4429018 | English 0.3848558
K13: Southeast_English 0.3404314 | Southeast_English 0.3574268
EUtest V2 K15: Southwest_English 0.3915967 | Southwest_English 0.389361
Jtest K14: English 0.4540176 | English 0.3915214
K27: Welsh 0.5831449 | Welsh 0.6095064
K10: English 1.370716 | English 1.504824
K11: Germans 0.5567962 | Germans 0.5266973
Ancient Near East 13: French 0.7706179 | French 0.7229336

[Leto]

I dug this out of my files, from Your DNA Portal:

DNA: Living | Ancestry
K36: SZ3_Longobard 0.8102395 | SZ23_Longobard 0.6658806
EUtest: English 0.4429018 | English 0.3848558
K13: Southeast_English 0.3404314 | Southeast_English 0.3574268
EUtest V2 K15: Southwest_English 0.3915967 | Southwest_English 0.389361
Jtest K14: English 0.4540176 | English 0.3915214
K27: Welsh 0.5831449 | Welsh 0.6095064
K10: English 1.370716 | English 1.504824
K11: Germans 0.5567962 | Germans 0.5266973
Ancient Near East 13: French 0.7706179 | French 0.7229336
Post the components from K13 and K15.

[Nordarya]

Post the components from K13 and K15.I told you I didn't copy and keep everything. Didn't think it's important. Why would it be? You do know that the website doesn't allow copy and paste. I had to type everything by hand. One less reason to bother.

[JamesBond007]

I find Eurogenes to be mentally retarded Polack science as K13 has me as Irish and K15 as SouthWest English. Gedmatch, in general, I do not trust.

[Leto]

I told you I didn't copy and keep everything. Didn't think it's important. Why would it be? You do know that the website doesn't allow copy and paste. I had to type everything by hand. One less reason to bother.
I don't think so but whatever.

[Nordarya]

I find Eurogenes to be mentally retarded Polack science as K13 has me as Irish and K15 as SouthWest English. Gedmatch, in general, I do not trust.MDLP utilities gave me something different in each app on Gedmatch, but the top results were all in my recent family tree, so if they changed position in proximity between Living DNA and Ancestry DNA, it was reasonable to see only older generations. It came down to combining English @ Eurogenes, Mixed Germanic @ Dodecad, Utahn White @ HarrapaWorld and German @ puntDNAL, which seems entirely consistent with the different results per MDLP app, as well as an Anglo-Frisian American profile. Whichever ones were irrelevant, like Ethiohelix and Gedrosia, were good for racial hygiene and that's fine if they don't match contemporary ethnicity. I wonder if you need to gain a better perspective on the results, by comparing shifted places between English and Irish. It's not like Gedmatch and Your DNA Portal got it wrong--au contraire, they're more to the point than both Ancestry and Living DNA. I got Living DNA for British Isles regions and haplogroups, but while they got them right, got my Continental European ancestry wrong. I got Ancestry DNA for family matching and American communities mapping, but they failed to adequately show where I fit in this and ignored most parts of my family roots:

https://blogs.ancestry.com/cm/files/2017/02/MapMigration1_c.jpg


I don't think so but whatever.I did ask a question why, since it is a very time-consuming activity.

[Zuh]

Mine are K13 K15 K9b K36 World9 and puntDNAL K13.

K15 and World9 the best to me handsdown

[Nordarya]

I don't think I can really pick. It seems like that all provide perspective, most completely in complementary fashion. Therefore, combined, I think I understand the best that way.

[Erronkari]

G25.

[Nordarya]

G25.Once it's free, maybe. ;)

[JamesBond007]

MDLP utilities gave me something different in each app on Gedmatch, but the top results were all in my recent family tree, so if they changed position in proximity between Living DNA and Ancestry DNA, it was reasonable to see only older generations. It came down to combining English @ Eurogenes, Mixed Germanic @ Dodecad, Utahn White @ HarrapaWorld and German @ puntDNAL, which seems entirely consistent with the different results per MDLP app, as well as an Anglo-Frisian American profile. Whichever ones were irrelevant, like Ethiohelix and Gedrosia, were good for racial hygiene and that's fine if they don't match contemporary ethnicity. I wonder if you need to gain a better perspective on the results, by comparing shifted places between English and Irish. It's not like Gedmatch and Your DNA Portal got it wrong--au contraire, they're more to the point than both Ancestry and Living DNA. I got Living DNA for British Isles regions and haplogroups, but while they got them right, got my Continental European ancestry wrong. I got Ancestry DNA for family matching and American communities mapping, but they failed to adequately show where I fit in this and ignored most parts of my family roots:

https://blogs.ancestry.com/cm/files/2017/02/MapMigration1_c.jpg

I did ask a question why, since it is a very time-consuming activity.

Dude, shifted places between Irish and English would be Scottish AFAIK and only one or two Gedmatch calculators give me Scottish. I dunno, I forgot my password for Gedmatch and it is registered to an old email address I do not use anymore.

[Erronkari]

Once it's free, maybe. ;)

Unhappily It's not hehe. :p

[Nordarya]

Dude, shifted places between Irish and English would be Scottish AFAIK and only one or two Gedmatch calculators give me ScottishI noticed how while MDLP got me high English and Irish, Scottish is at or near the bottom. I did not expect this at all.

[Nordarya]

Unhappily It's not hehe. :pMaybe in ten years.

[JamesBond007]

I noticed how while MDLP got me high English and Irish, Scottish is at or near the bottom. I did not expect this at all.

MDLP gives me Cornish and Irish. Puntdnal gives me English, Scottish and Irish.. Eurogenes gives me Irish, English and Orcadian. Eurogenes K36 mapping gives me Dutch. Eurogenes G25 gives me Dutch. Dodecad gives me mixed_Germanic etc... It is all over the place.

[Nordarya]

MDLP gives me Cornish and Irish. Puntdnal gives me English, Scottish and Irish.. Eurogenes gives me Irish, English and Orcadian. Eurogenes K36 mapping gives me Dutch. Eurogenes G25 gives me Dutch. Dodecad gives me mixed_Germanic etc... It is all over the place.
Cornish, Irish, English, Scottish, Orcadian are all British Isles, hence UK, plus Dutch, hence Mixed Germanic. If you're Mixed Germanic, that's exactly why you have this variation. You're not exactly overall one to the exclusion of the other. It's all aggregate, so you fit this here:

http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Blasons/Grande_Bretagne_1694.gif
Guillaume III de Nassau (1650-1702)
Prince d'Orange et Roi d'Angleterre
Ecartelé : 1 et 4, contre-écartelé : 1 et 4, de France moderne (http://www.heraldique-europeenne.org/Regions/France/France.html);
2 et 3, d'Angleterre moderne (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Angleterre.html); 2, d'Ecosse (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Ecosse.html); 3, d'Irlande (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Irlande.html);
sur le tout, de Nassau.


Or, remove France and substitute Hannover for Holland:

http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Blasons/Grande_Bretagne_1816.gif

Le même
- à partir de 1816 -
Ecartelé : 1 et 4, d'Angleterre moderne (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Angleterre.html); 2, d'Ecosse (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Ecosse.html); 3, d'Irlande (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Irlande.html); sur le tout, parti : 1, de Brunswick; 2, de Lunebourg (http://www.heraldique-europeenne.org/Regions/Allemagne/Lunebourg.html); enté en pointe de Westphalie (Basse-Saxe); une couronne royale coiffant le sur-le-tout; et sur le tout du tout, de la dignité d'Archi-Sénéchal de l'Empire.

[JamesBond007]

Cornish, Irish, English, Scottish, Orcadian are all British Isles, hence UK, plus Dutch, hence Mixed Germanic. If you're Mixed Germanic, that's exactly why you have this variation. You're not exactly overall one to the exclusion of the other. It's all aggregate, so you fit this here:

http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Blasons/Grande_Bretagne_1694.gif
Guillaume III de Nassau (1650-1702)
Prince d'Orange et Roi d'Angleterre
Ecartelé : 1 et 4, contre-écartelé : 1 et 4, de France moderne (http://www.heraldique-europeenne.org/Regions/France/France.html);
2 et 3, d'Angleterre moderne (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Angleterre.html); 2, d'Ecosse (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Ecosse.html); 3, d'Irlande (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Irlande.html);
sur le tout, de Nassau.


Or, remove France and substitute Hannover for Holland:

http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Blasons/Grande_Bretagne_1816.gif

Le même
- à partir de 1816 -
Ecartelé : 1 et 4, d'Angleterre moderne (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Angleterre.html); 2, d'Ecosse (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Ecosse.html); 3, d'Irlande (http://www.heraldique-europeenne.org/Regions/Iles_Britanniques/Irlande.html); sur le tout, parti : 1, de Brunswick; 2, de Lunebourg (http://www.heraldique-europeenne.org/Regions/Allemagne/Lunebourg.html); enté en pointe de Westphalie (Basse-Saxe); une couronne royale coiffant le sur-le-tout; et sur le tout du tout, de la dignité d'Archi-Sénéchal de l'Empire.

Hmm, I see, thanks. It is still kind of convoluted I think, though. Even if I am Generic mixed-Germanic I expected to clearly be closest to one of the following : lowland Scots, English or Dutch.

[Nordarya]

Hmm, I see, thanks. It is still kind of convoluted I think, though. Even if I am Generic mixed-Germanic I expected to clearly be closest to one of the following : lowland Scots, English or Dutch.
It's less and less likely with each generation of British and American life, that any specific type of Briton will be necessarily one without also exhibiting genes indicative of the other, while Utahn and Mixed Germanic seem to be representative of American DNA, as opposed to other New World source populations of Mestizo and Mulatto origins. In point of fact, only MDLP K23b shows my Italo-Celtic ancestors and the rest of the tests pretty much dilutes them for Germanic ancestors from Germany and Holland, probably being that they are naturally the closest to English. Even then, to read Quebecois as Belgian and New Yorker as Frisian, shows the Nordicisation of my eugenics, probably by combination with the German, but without actually showing German near the top results--I'd call that shifting. Assimilation of quasi-Italo-Celtic Belgian and Irish seems to be a westward shift over the many hundreds of years by Germanic folks, so really, Belgian would be represented by Frisian and Irish would be lost within the English, beginning linguistically.

[Nordarya]

My True Ancestry

Your closest Ancient populations...
Viking Danish + Frank (3.863)
Viking Danish + Visigoth (3.992)
Celt + Frank (4.192)
Saxon + Frank (4.214)
Visigoth + Saxon (4.487)
Saxon (4.585)
Frank (5.992)
Viking Danish (6.275)
Visigoth (6.745)
Celt (7.793)

Your closest Archaeogenetic matches...
(Smaller numbers mean closer matches to you)

1. Late Iron Age Linton Cambridgeshire (205 BC) ..... 4.49 -
Top 98% match vs all users

3. Medieval Netherlands Plague II (1360 AD) ..... 5.012 - ?
Top 98% match vs all users

5. Bronze Age Dagger Koenigsbrunn (2046 BC) ..... 5.763 -
Top 99% match vs all users

7. Post Viking Denmark Odense (1250 AD) ..... 6.275 -
Top 91% match vs all users

9. North Sea Medieval Denmark (1250 AD) ..... 6.305 -
Top 99% match vs all users

11. Bell Beaker Scotland (2100 BC) ..... 6.469 -
Top 93% match vs all users

13. Early Bronze Age Thames (1800 BC) ..... 6.56 -
Top 87% match vs all users

15. Celto-Germanic Medieval Denmark (1270 AD) ..... 6.833 -
Top 90% match vs all users

17. High Status Male Haunstetten (1946 BC) ..... 7.003 -
Top 93% match vs all users

19. Viking Saxon Iceland (1104 AD) ..... 7.187 -
Top 94% match vs all users

You have ancient relatives! (you share identified DNA segments)

Norwegian Viking Iceland
1000 AD
STT-A2

Shared DNA: (Sample Quality: 93)
9 SNP chains (min. 60 SNPs) / 197.11 cM
Largest segment=368 SNPs / 74.27 cM

Your raw DNA is 25% closer than other matching users

Your closest genetic modern populations...

1. Southwest_English (3.712)
2. Southeast_English (4.724)
3. Flemish (5.394)
4. Welsh (5.781)
5. South_Dutch (6.128)
6. Danish (6.687)
7. West_Scottish (6.996)
8. North_Dutch (7.007)

[Nordarya]

Please share your admixture proportions from Eurogenes K13, K15 and Dodecad K12b. I'd like to take a look.I will accept 6/8 Nordic and 2/8 Mediterranean. Four of my great-grandfathers are patrilineally and two of my great-grandmothers are matrilineally English through America. Two of my great-grandmothers are matrilineally French through Canada. The Canadian French great-grandmothers I have most recently traced to are at least paternally from Touraine in Anjou (Central France) and Poitou in Aquitaine and Gascony (Western France), which is why MDLP K16 shows France (Living DNA) and West France (Ancestry DNA) as top proximities. Plus, my New York Dutch great-great-grandfather was said to be Huguenot, but with actual Dutch and German, including Bavarian and Austrian on his side of the family making up the majority of recent ancestry, which explains the Italian and Hungarian similarities further off. I have noticed that some of my phenotype is similar to Quebecois and Acadian classmates, as well as those of Dutch origin from New York because of this. Overall, I do have a less Mediterranean than Nordic phenotype, but it is undeniable that I do have the former and this may make me stick out in either crowd, although I would fit right into British English and American English society as well as the Channel Islands and Ontario. My True Ancestry, in addition to Danish, Saxon, Frank and Celt, called the Aquitainian ancestry Visigoth and also showed Ostrogoth in their pie chart of me. I hadn't thought much of the admixture proportions from Gedmatch until I saw them reflected on My True Ancestry, which seems better than Gedmatch and Your DNA Portal, to link ancient and modern populations. I have all my answers now.

LIVING DNA

Eurogenes K13 4-Ancestors Oracle

Least-squares method.

Using 1 population approximation:
1 Southeast_English @ 3.319830
2 South_Dutch @ 4.927596
3 Southwest_English @ 5.808263
4 Orcadian @ 5.999295
5 West_German @ 6.432647
6 North_Dutch @ 6.928951
7 Danish @ 7.093607
8 Irish @ 7.529025
9 West_Scottish @ 7.591440
10 North_German @ 7.657410
11 Norwegian @ 9.618147
12 French @ 10.346629
13 Swedish @ 11.315250
14 Austrian @ 13.845571
15 East_German @ 14.757143
16 North_Swedish @ 16.982176
17 Spanish_Cataluna @ 18.291862
18 Hungarian @ 19.099869
19 Spanish_Castilla_Y_Leon @ 19.561619
20 Southwest_French @ 19.861553

Using 2 populations approximation:
1 50% South_Dutch +50% Southeast_English @ 2.263671


Using 3 populations approximation:
1 50% Norwegian +25% Southeast_English +25% Spanish_Murcia @ 1.809008


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
1 Norwegian + Norwegian + Southeast_English + Spanish_Murcia @ 1.809008
2 Danish + Norwegian + Portuguese + Southeast_English @ 1.837780
3 Danish + North_Dutch + Norwegian + Spanish_Valencia @ 1.856315
4 Norwegian + Norwegian + Southeast_English + Spanish_Valencia @ 1.865530
5 Danish + Southeast_English + Spanish_Murcia + Swedish @ 1.866226
6 Norwegian + Norwegian + Portuguese + Southeast_English @ 1.878131
7 Danish + Norwegian + Southeast_English + Spanish_Cataluna @ 1.888820
8 Danish + Norwegian + Southeast_English + Spanish_Murcia @ 1.902066
9 Norwegian + Southeast_English + Spanish_Murcia + Swedish @ 1.905749
10 Danish + Danish + Norwegian + Spanish_Valencia @ 1.909614
11 Danish + North_Dutch + North_Dutch + Spanish_Valencia @ 1.918368
12 Danish + Norwegian + Southeast_English + Spanish_Castilla_Y_Leon @ 1.922607
13 North_Dutch + Southeast_English + Spanish_Murcia + Swedish @ 1.924624
14 North_Dutch + Norwegian + Portuguese + Southeast_English @ 1.926014
15 Danish + Southeast_English + Spanish_Valencia + Swedish @ 1.928686
16 Danish + Norwegian + Southeast_English + Spanish_Valencia @ 1.930314
17 Danish + Danish + Norwegian + Spanish_Murcia @ 1.938834
18 Danish + Danish + North_Dutch + Spanish_Valencia @ 1.938857
19 Danish + Norwegian + Orcadian + Spanish_Valencia @ 1.953504
20 Danish + French + Southeast_English + Southeast_English @ 1.955925

Eurogenes EUtest V2 K15 4-Ancestors Oracle

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 3.434245
2 Southeast_English @ 4.442678
3 South_Dutch @ 6.134194
4 Danish @ 6.347203
5 North_Dutch @ 6.517311
6 West_Scottish @ 6.673350
7 Irish @ 6.700980
8 Orcadian @ 7.240540
9 West_German @ 7.390747
10 North_German @ 7.567288
11 Norwegian @ 9.221417
12 French @ 10.220462
13 West_Norwegian @ 10.393235
14 Swedish @ 11.027646
15 North_Swedish @ 13.278831
16 East_German @ 14.049861
17 Southwest_Finnish @ 18.268312
18 Spanish_Galicia @ 18.698561
19 Austrian @ 18.848518
20 Spanish_Cataluna @ 18.990515

Using 2 populations approximation:
1 50% Orcadian +50% South_Dutch @ 3.297670


Using 3 populations approximation:
1 50% Norwegian +25% Orcadian +25% Spanish_Cantabria @ 1.966599


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
1 Norwegian + Norwegian + Orcadian + Spanish_Cantabria @ 1.966599
2 Norwegian + Orcadian + Spanish_Cantabria + West_Norwegian @ 2.044005
3 Danish + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.094811
4 Norwegian + Southeast_English + Spanish_Cantabria + West_Norwegian @ 2.094877
5 Southeast_English + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.101661
6 Norwegian + Orcadian + Spanish_Castilla_La_Mancha + West_Norwegian @ 2.112185
7 Danish + Norwegian + Spanish_Cantabria + West_Norwegian @ 2.118139
8 Norwegian + Norwegian + Orcadian + Spanish_Castilla_La_Mancha @ 2.120804
9 Norwegian + Spanish_Cantabria + West_Norwegian + West_Scottish @ 2.138983
10 North_Swedish + Orcadian + Orcadian + Spanish_Cantabria @ 2.168128
11 Southwest_English + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.218340
12 Danish + Spanish_Castilla_La_Mancha + West_Norwegian + West_Norwegian @ 2.223964
13 North_Swedish + Orcadian + Spanish_Cantabria + West_Norwegian @ 2.224650
14 Norwegian + Orcadian + Spanish_Valencia + West_Norwegian @ 2.240021
15 Norwegian + Norwegian + Orcadian + Spanish_Aragon @ 2.243985
16 Norwegian + Southwest_English + Spanish_Cantabria + West_Norwegian @ 2.247762
17 Norwegian + Norwegian + Spanish_Cantabria + West_Scottish @ 2.248596
18 North_Swedish + Orcadian + Spanish_Aragon + West_Norwegian @ 2.259214
19 North_Swedish + Orcadian + Spanish_Castilla_La_Mancha + West_Norwegian @ 2.270744
20 North_Swedish + Orcadian + Orcadian + Portuguese @ 2.282830

Dodecad K12b 4-Ancestors Oracle

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 4.668757
2 Kent_1000Genomes @ 5.219136
3 Dutch_Dodecad @ 5.621635
4 French_Dodecad @ 5.731893
5 CEU30_1000Genomes @ 5.897460
6 English_Dodecad @ 5.954253
7 French_HGDP @ 6.402415
8 Cornwall_1000Genomes @ 6.973017
9 British_Isles_Dodecad @ 7.208230
10 British_Dodecad @ 7.481154
11 Irish_Dodecad @ 8.955709
12 Argyll_1000Genomes @ 9.030128
13 Orcadian_HGDP @ 9.275484
14 Orkney_1000Genomes @ 9.532488
15 German_Dodecad @ 11.031652
16 Norwegian_Dodecad @ 16.073387
17 Swedish_Dodecad @ 18.512415
18 Hungarians_Behar @ 18.764015
19 Cataluna_1000Genomes @ 20.040613
20 Galicia_1000Genomes @ 21.019417

Using 2 populations approximation:
1 50% Dutch_Dodecad +50% French_Dodecad @ 1.743748


Using 3 populations approximation:
1 50% Cornwall_1000Genomes +25% North_Italian_HGDP +25% Swedish_Dodecad @ 1.494240


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++
1 Argyll_1000Genomes + British_Isles_Dodecad + Cataluna_1000Genomes + Hungarians_Behar @ 1.425753
2 British_Dodecad + Kent_1000Genomes + N_Italian_Dodecad + Norwegian_Dodecad @ 1.445715
3 Cataluna_1000Genomes + English_Dodecad + Hungarians_Behar + Orkney_1000Genomes @ 1.452160
4 Cornwall_1000Genomes + Kent_1000Genomes + N_Italian_Dodecad + Norwegian_Dodecad @ 1.454706
5 Cornwall_1000Genomes + French_Dodecad + French_Dodecad + German_Dodecad @ 1.463487
6 Cataluna_1000Genomes + CEU30_1000Genomes + Hungarians_Behar + Orcadian_HGDP @ 1.467068
7 Cataluna_1000Genomes + CEU30_1000Genomes + Hungarians_Behar + Orkney_1000Genomes @ 1.467068
8 British_Dodecad + Cornwall_1000Genomes + North_Italian_HGDP + Swedish_Dodecad @ 1.469835
9 Cataluna_1000Genomes + English_Dodecad + Hungarians_Behar + Orcadian_HGDP @ 1.479170
10 Argyll_1000Genomes + Cataluna_1000Genomes + Hungarians_Behar + Orcadian_HGDP @ 1.480815
11 Cornwall_1000Genomes + English_Dodecad + N_Italian_Dodecad + Norwegian_Dodecad @ 1.482975
12 British_Dodecad + French_Dodecad + French_Dodecad + German_Dodecad @ 1.492224
13 Cataluna_1000Genomes + Hungarians_Behar + Kent_1000Genomes + Orkney_1000Genomes @ 1.492628
14 Argyll_1000Genomes + Cataluna_1000Genomes + English_Dodecad + Hungarians_Behar @ 1.493529
15 Cornwall_1000Genomes + Cornwall_1000Genomes + North_Italian_HGDP + Swedish_Dodecad @ 1.494240
16 Argyll_1000Genomes + Cataluna_1000Genomes + Hungarians_Behar + Irish_Dodecad @ 1.498076
17 CEU30_1000Genomes + Cornwall_1000Genomes + N_Italian_Dodecad + Norwegian_Dodecad @ 1.501419
18 British_Dodecad + British_Dodecad + North_Italian_HGDP + Swedish_Dodecad @ 1.504341
19 Argyll_1000Genomes + Cataluna_1000Genomes + Hungarians_Behar + Orkney_1000Genomes @ 1.505762
20 Cornwall_1000Genomes + Cornwall_1000Genomes + N_Italian_Dodecad + Swedish_Dodecad @ 1.508179

Ancestry DNA
Eurogenes K13 4-Ancestors Oracle

Least-squares method.

Using 1 population approximation:
1 Southeast_English @ 3.515817
2 South_Dutch @ 4.493276
3 Southwest_English @ 5.879767
4 West_German @ 5.967410
5 Orcadian @ 6.269300
6 North_Dutch @ 7.160378
7 Danish @ 7.383936
8 Irish @ 7.691188
9 North_German @ 7.772171
10 West_Scottish @ 7.799625
11 French @ 9.903454
12 Norwegian @ 9.924070
13 Swedish @ 11.629780
14 Austrian @ 13.722675
15 East_German @ 14.765144
16 North_Swedish @ 17.317295
17 Spanish_Cataluna @ 17.896076
18 Hungarian @ 18.986723
19 Spanish_Castilla_Y_Leon @ 19.168440
20 Spanish_Galicia @ 19.534096

Using 2 populations approximation:
1 50% South_Dutch +50% Southeast_English @ 1.967653


Using 3 populations approximation:
1 50% Norwegian +25% Southeast_English +25% Spanish_Murcia @ 1.527989


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++
1 Danish + Norwegian + Southeast_English + Spanish_Murcia @ 1.475546
2 North_Dutch + Southeast_English + Spanish_Murcia + Swedish @ 1.510960
3 Norwegian + Norwegian + Southeast_English + Spanish_Murcia @ 1.527989
4 North_Dutch + Norwegian + Southeast_English + Spanish_Murcia @ 1.531027
5 North_Dutch + Norwegian + Portuguese + Southeast_English @ 1.537094
6 Danish + Norwegian + Portuguese + Southeast_English @ 1.547151
7 Danish + North_Dutch + North_Dutch + Spanish_Murcia @ 1.578539
8 Danish + Southeast_English + Spanish_Murcia + Swedish @ 1.585541
9 Danish + North_Dutch + North_Dutch + Spanish_Valencia @ 1.610777
10 North_Dutch + North_Dutch + North_Dutch + Spanish_Murcia @ 1.625628
11 Danish + Danish + North_Dutch + Spanish_Murcia @ 1.638009
12 North_Dutch + North_Dutch + North_Dutch + Spanish_Valencia @ 1.641022
13 North_German + Norwegian + Southeast_English + Spanish_Murcia @ 1.648909
14 Danish + Norwegian + Southeast_English + Spanish_Castilla_Y_Leon @ 1.664897
15 Danish + Danish + North_Dutch + Spanish_Valencia @ 1.688160
16 Danish + Norwegian + Southeast_English + Spanish_Valencia @ 1.688371
17 Danish + North_Dutch + Norwegian + Spanish_Murcia @ 1.692654
18 Norwegian + Norwegian + Portuguese + Southeast_English @ 1.694061
19 Danish + Norwegian + Southeast_English + Spanish_Cataluna @ 1.700148
20 Danish + North_Dutch + Southeast_English + Spanish_Cataluna @ 1.715080
Eurogenes EUtest V2 K15 4-Ancestors Oracle

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 3.687132
2 Southeast_English @ 4.893085
3 North_Dutch @ 6.416605
4 Danish @ 6.556159
5 Orcadian @ 6.691669
6 West_Scottish @ 6.869248
7 South_Dutch @ 6.919697
8 West_German @ 7.028143
9 Irish @ 7.061430
10 North_German @ 8.091383
11 Norwegian @ 8.879227
12 West_Norwegian @ 9.779203
13 French @ 10.641590
14 Swedish @ 10.816663
15 North_Swedish @ 13.385192
16 East_German @ 14.713007
17 Southwest_Finnish @ 18.953945
18 Spanish_Galicia @ 19.140471
19 Spanish_Cataluna @ 19.663004
20 Austrian @ 19.730627

Using 2 populations approximation:
1 50% French +50% West_Norwegian @ 3.092952


Using 3 populations approximation:
1 50% Orcadian +25% Spanish_Galicia +25% West_Norwegian @ 2.467657


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 Orcadian + Spanish_Extremadura + West_Norwegian + West_Norwegian @ 2.307101
2 Norwegian + Orcadian + Orcadian + Spanish_Galicia @ 2.344636
3 Norwegian + Orcadian + Spanish_Extremadura + West_Norwegian @ 2.345541
4 Norwegian + Orcadian + Spanish_Cantabria + West_Norwegian @ 2.347382
5 Orcadian + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.355771
6 Danish + Orcadian + Spanish_Galicia + West_Norwegian @ 2.411748
7 Norwegian + Orcadian + Portuguese + West_Norwegian @ 2.414193
8 Orcadian + Portuguese + West_Norwegian + West_Norwegian @ 2.441495
9 Portuguese + Southwest_English + West_Norwegian + West_Norwegian @ 2.453897
10 Orcadian + Orcadian + Spanish_Galicia + West_Norwegian @ 2.467657
11 Norwegian + Orcadian + Orcadian + Portuguese @ 2.497826
12 Orcadian + Spanish_Castilla_La_Mancha + West_Norwegian + West_Norwegian @ 2.504226
13 Southwest_English + Spanish_Extremadura + West_Norwegian + West_Norwegian @ 2.505867
14 Portuguese + Southeast_English + West_Norwegian + West_Norwegian @ 2.532845
15 Danish + Orcadian + Portuguese + West_Norwegian @ 2.541293
16 Orcadian + Orcadian + Portuguese + West_Norwegian @ 2.553932
17 French + Southwest_English + Southwest_English + West_Norwegian @ 2.565491
18 Norwegian + Norwegian + Orcadian + Spanish_Cantabria @ 2.575815
19 Southwest_English + Spanish_Cataluna + West_Norwegian + West_Norwegian @ 2.576258
20 Danish + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.578795

Dodecad K12b 4-Ancestors Oracle


Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 5.124682
2 French_Dodecad @ 5.632924
3 French_HGDP @ 6.173071
4 Dutch_Dodecad @ 6.479178
5 Kent_1000Genomes @ 6.507801
6 CEU30_1000Genomes @ 7.137910
7 English_Dodecad @ 7.241131
8 Cornwall_1000Genomes @ 8.370136
9 British_Isles_Dodecad @ 8.507340
10 British_Dodecad @ 8.957924
11 Irish_Dodecad @ 10.423571
12 Argyll_1000Genomes @ 10.430121
13 German_Dodecad @ 10.605581
14 Orcadian_HGDP @ 10.735415
15 Orkney_1000Genomes @ 10.956199
16 Norwegian_Dodecad @ 16.911858
17 Hungarians_Behar @ 17.808084
18 Swedish_Dodecad @ 19.142435
19 Cataluna_1000Genomes @ 19.875412
20 Galicia_1000Genomes @ 20.624249

Using 2 populations approximation:
1 50% French_HGDP +50% Mixed_Germanic_Dodecad @ 2.165114


Using 3 populations approximation:
1 50% French_HGDP +25% German_Dodecad +25% Mixed_Germanic_Dodecad @ 1.319557


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 British_Isles_Dodecad + Cornwall_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.135236
2 British_Dodecad + British_Isles_Dodecad + Norwegian_Dodecad + Tuscan_HGDP @ 1.163515
3 British_Isles_Dodecad + Cornwall_1000Genomes + Norwegian_Dodecad + Tuscan_HGDP @ 1.165232
4 Kent_1000Genomes + Mixed_Germanic_Dodecad + North_Italian_HGDP + Norwegian_Dodecad @ 1.177050
5 British_Isles_Dodecad + German_Dodecad + North_Italian_HGDP + Orkney_1000Genomes @ 1.197652
6 British_Dodecad + British_Isles_Dodecad + Norwegian_Dodecad + TSI30_Metspalu @ 1.219552
7 British_Isles_Dodecad + German_Dodecad + Irish_Dodecad + N_Italian_Dodecad @ 1.250587
8 Cataluna_1000Genomes + CEU30_1000Genomes + CEU30_1000Genomes + Hungarians_Behar @ 1.251819
9 British_Isles_Dodecad + Kent_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.257863
10 CEU30_1000Genomes + Mixed_Germanic_Dodecad + North_Italian_HGDP + Norwegian_Dodecad @ 1.265559
11 British_Isles_Dodecad + German_Dodecad + N_Italian_Dodecad + Orcadian_HGDP @ 1.266044
12 British_Isles_Dodecad + German_Dodecad + North_Italian_HGDP + Orcadian_HGDP @ 1.269664
13 CEU30_1000Genomes + Cornwall_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.275064
14 Cataluna_1000Genomes + Hungarians_Behar + Irish_Dodecad + Mixed_Germanic_Dodecad @ 1.276150
15 British_Isles_Dodecad + Cataluna_1000Genomes + Hungarians_Behar + Mixed_Germanic_Dodecad @ 1.276658
16 British_Dodecad + CEU30_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.281585
17 English_Dodecad + Mixed_Germanic_Dodecad + North_Italian_HGDP + Norwegian_Dodecad @ 1.283997
18 Cataluna_1000Genomes + CEU30_1000Genomes + Hungarians_Behar + Kent_1000Genomes @ 1.287323
19 British_Isles_Dodecad + Irish_Dodecad + Norwegian_Dodecad + Tuscan_HGDP @ 1.288734
20 Cataluna_1000Genomes + CEU30_1000Genomes + English_Dodecad + Hungarians_Behar @ 1.288757

[Celestia]

MDLP K16 Modern has been the best fit for me

[Grace O'Malley]

I noticed how while MDLP got me high English and Irish, Scottish is at or near the bottom. I did not expect this at all.

There is something wrong with the some of the MDLP calcs. They are suffering from the calculator effect. They make most Irish and Brits German on those. The MDLP K23b seems to be not bad though.

[Nordarya]

There is something wrong with the some of the MDLP calcs. They are suffering from the calculator effect. They make most Irish and Brits German on those. The MDLP K23b seems to be not bad though.Which type of Saxons are we though and does it really matter whether it's taxpayers to London or Berlin? That's like complaining because your Basque was written French Basque instead of Spanish Basque, just saying. So, for MDLP K23b, it matches Kent with Friesland and what proud Englishman would complain what side of the North Sea his roots are grouped with, considering that this validates our history with Hengest and Horsa?

Anyway, here is how I parsed my results from Leto's admix requests:

Both Eurogenes K13 and K15 are easy, but Dodecad K12b is pretty hard to work with for this purpose. The results make me seem "Hispanic" and "Latin", LOL, but this Mediterranean DNA is receding because my wife has much less and our children benefit from the ancestry changing along with the Royal Arms, dropping France, picking up Holland and Germany, dropping them and settling down as Anglo-Celtic. My True Ancestry helps illuminate my Gothic descent, which always seems under the radar, because Aquitaine hasn't retained the tribal name, unlike Normandy and Burgundy. This puts the Plantagenets' ties to Aquitaine in perspective, down to when it was made a principality and the base for John of Gaunt's Castilian War. Thing is, I am also descended from the Duke of Lancaster several times on different sides of my family, LOL. Although I am directly paternally Viking-era Norwegian Germanic (matches 1000 Iceland) and maternally pre-Saxon British Celtic (matches Iron Age Cambridgeshire), this is the best I could square up my four grandparents going back patrilineally and matrilineally, relatively speaking:


LIVING DNA


Eurogenes K13 4-Ancestors Oracle
1 Norwegian + Norwegian + Southeast_English + Spanish_Murcia @ 1.809008


[Paternal Grandfather + Maternal Grandfather + Maternal Grandmother + Paternal Grandmother]


Eurogenes EUtest V2 K15 4-Ancestors Oracle
1 Norwegian + Norwegian + Orcadian + Spanish_Cantabria @ 1.966599


[Paternal Grandfather + Maternal Grandfather + Maternal Grandmother + Paternal Grandmother]


Dodecad K12b 4-Ancestors Oracle
1 Argyll_1000Genomes + British_Isles_Dodecad + Cataluna_1000Genomes + Hungarians_Behar @ 1.425753


[Maternal Grandmother + Maternal Grandfather + Paternal Grandmother + Paternal Grandfather]


ANCESTRY DNA


Eurogenes K13 4-Ancestors Oracle
1 Danish + Norwegian + Southeast_English + Spanish_Murcia @ 1.475546


[Maternal Grandfather + Paternal Grandfather + Maternal Grandmother + Paternal Grandmother]


Eurogenes EUtest V2 K15 4-Ancestors Oracle
1 Orcadian + Spanish_Extremadura + West_Norwegian + West_Norwegian @ 2.307101


[Maternal Grandmother + Paternal Grandmother + Paternal Grandfather + Maternal Grandfather]


Dodecad K12b 4-Ancestors Oracle
1 British_Isles_Dodecad + Cornwall_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.135236


[Maternal Grandfather + Maternal Grandmother + Paternal Grandfather + Paternal Grandmother]

[Daco Celtic]

I mentioned earlier in the thread that Eurogenes K13 was the best calculator on Gedmatch and they got my mom's Irish heritage correct. MDLP calculators aren't bad either.

Admix Results (sorted):

# Population Percent
1 North_Atlantic 51.76
2 Baltic 24.52
3 West_Med 12.3
4 West_Asian 6.51
5 East_Med 2.55
6 Amerindian 1.06
7 Northeast_African 0.37
8 East_Asian 0.26
9 Siberian 0.24
10 South_Asian 0.23
11 Oceanian 0.21

Single Population Sharing:

# Population (source) Distance
1 Irish 1.64
2 Orcadian 1.88
3 West_Scottish 2.32
4 North_Dutch 2.73
5 Danish 3.55
6 Southeast_English 3.71
7 Southwest_English 3.93
8 Norwegian 4.44
9 North_German 5.5
10 Swedish 7.31
11 South_Dutch 8.57
12 West_German 9.6
13 North_Swedish 13.74
14 French 14.08
15 Austrian 14.61
16 East_German 14.84
17 Hungarian 19.18
18 Spanish_Cataluna 21.08
19 Southwest_Finnish 21.84
20 Southwest_French 22

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.9% Irish + 29.1% North_Dutch @ 1.31
2 95.6% Irish + 4.4% Hungarian @ 1.37
3 78.8% Irish + 21.2% Danish @ 1.38
4 86% Irish + 14% North_German @ 1.38
5 59.7% Irish + 40.3% Orcadian @ 1.4
6 96.7% Irish + 3.3% Serbian @ 1.4
7 97.4% Irish + 2.6% Bulgarian @ 1.4
8 94.6% Irish + 5.4% Austrian @ 1.41
9 97.1% Irish + 2.9% Romanian @ 1.41
10 92% Irish + 8% West_German @ 1.41
11 80.9% Irish + 19.1% Southeast_English @ 1.42
12 96.9% Irish + 3.1% Croatian @ 1.43
13 95% Irish + 5% East_German @ 1.44
14 96.9% Irish + 3.1% South_Polish @ 1.44
15 97.1% Irish + 2.9% Moldavian @ 1.44
16 97.6% Irish + 2.4% Southwest_Russian @ 1.45
17 97.3% Irish + 2.7% Ukrainian @ 1.46
18 97.7% Irish + 2.3% Ukrainian_Belgorod @ 1.46
19 98.1% Irish + 1.9% Greek_Thessaly @ 1.47
20 98.4% Irish + 1.6% Ashkenazi @ 1.47

[Grace O'Malley]

I mentioned earlier in the thread that Eurogenes K13 was the best calculator on Gedmatch and they got my mom's Irish heritage correct. MDLP calculators aren't bad either.

Admix Results (sorted):

# Population Percent
1 North_Atlantic 51.76
2 Baltic 24.52
3 West_Med 12.3
4 West_Asian 6.51
5 East_Med 2.55
6 Amerindian 1.06
7 Northeast_African 0.37
8 East_Asian 0.26
9 Siberian 0.24
10 South_Asian 0.23
11 Oceanian 0.21

Single Population Sharing:

# Population (source) Distance
1 Irish 1.64
2 Orcadian 1.88
3 West_Scottish 2.32
4 North_Dutch 2.73
5 Danish 3.55
6 Southeast_English 3.71
7 Southwest_English 3.93
8 Norwegian 4.44
9 North_German 5.5
10 Swedish 7.31
11 South_Dutch 8.57
12 West_German 9.6
13 North_Swedish 13.74
14 French 14.08
15 Austrian 14.61
16 East_German 14.84
17 Hungarian 19.18
18 Spanish_Cataluna 21.08
19 Southwest_Finnish 21.84
20 Southwest_French 22

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.9% Irish + 29.1% North_Dutch @ 1.31
2 95.6% Irish + 4.4% Hungarian @ 1.37
3 78.8% Irish + 21.2% Danish @ 1.38
4 86% Irish + 14% North_German @ 1.38
5 59.7% Irish + 40.3% Orcadian @ 1.4
6 96.7% Irish + 3.3% Serbian @ 1.4
7 97.4% Irish + 2.6% Bulgarian @ 1.4
8 94.6% Irish + 5.4% Austrian @ 1.41
9 97.1% Irish + 2.9% Romanian @ 1.41
10 92% Irish + 8% West_German @ 1.41
11 80.9% Irish + 19.1% Southeast_English @ 1.42
12 96.9% Irish + 3.1% Croatian @ 1.43
13 95% Irish + 5% East_German @ 1.44
14 96.9% Irish + 3.1% South_Polish @ 1.44
15 97.1% Irish + 2.9% Moldavian @ 1.44
16 97.6% Irish + 2.4% Southwest_Russian @ 1.45
17 97.3% Irish + 2.7% Ukrainian @ 1.46
18 97.7% Irish + 2.3% Ukrainian_Belgorod @ 1.46
19 98.1% Irish + 1.9% Greek_Thessaly @ 1.47
20 98.4% Irish + 1.6% Ashkenazi @ 1.47

She's more Irish than me on that calc. :) A lot closer distance as well.

# Population Percent
1 North_Atlantic 51.79
2 Baltic 25.5
3 West_Med 10.04
4 West_Asian 7.39
5 East_Med 1.64
6 Red_Sea 1.4
7 Amerindian 1.14
8 Siberian 0.89
9 Oceanian 0.16
10 South_Asian 0.06

Single Population Sharing:

# Population (source) Distance
1 North_Dutch 2.85
2 Irish 3.05
3 Norwegian 3.4
4 West_Scottish 3.65
5 Danish 3.68
6 Orcadian 3.71
7 North_German 5.21
8 Southeast_English 6.05
9 Southwest_English 6.21
10 Swedish 6.25
11 South_Dutch 10.06
12 West_German 10.91
13 North_Swedish 12.59
14 Austrian 15.02
15 East_German 15.15
16 French 15.82
17 Hungarian 19.32
18 Southwest_Finnish 20.83
19 Spanish_Cataluna 23.19
20 South_Polish 23.87

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54.7% Irish + 45.3% Norwegian @ 2.09
2 53% Norwegian + 47% West_Scottish @ 2.2
3 74.8% Irish + 25.2% Swedish @ 2.35
4 86.9% Irish + 13.1% North_Swedish @ 2.41
5 55.3% North_Dutch + 44.7% Irish @ 2.42
6 67.8% West_Scottish + 32.2% Swedish @ 2.43
7 93.6% Irish + 6.4% Finnish @ 2.46
8 65.9% North_Dutch + 34.1% West_Scottish @ 2.49
9 94.5% Irish + 5.5% East_Finnish @ 2.51
10 92.3% Irish + 7.7% Southwest_Finnish @ 2.52
11 96.1% Irish + 3.9% Chuvash @ 2.54
12 94.1% Irish + 5.9% La_Brana-1 @ 2.56
13 73.2% Irish + 26.8% North_German @ 2.56
14 96.6% Irish + 3.4% Mari @ 2.59
15 95.7% Irish + 4.3% Erzya @ 2.6
16 94.6% Irish + 5.4% Estonian @ 2.6
17 63.8% West_Scottish + 36.2% North_German @ 2.61
18 82.8% West_Scottish + 17.2% North_Swedish @ 2.61
19 91.2% West_Scottish + 8.8% Finnish @ 2.62
20 62.3% Irish + 37.7% Danish @ 2.62

You should get the G25 for your mum. I'd love to see what's she like on that.

[Grace O'Malley]

Which type of Saxons are we though and does it really matter whether it's taxpayers to London or Berlin? That's like complaining because your Basque was written French Basque instead of Spanish Basque, just saying. So, for MDLP K23b, it matches Kent with Friesland and what proud Englishman would complain what side of the North Sea his roots are grouped with, considering that this validates our history with Hengest and Horsa?

Anyway, here is how I parsed my results from Leto's admix requests:

Both Eurogenes K13 and K15 are easy, but Dodecad K12b is pretty hard to work with for this purpose. The results make me seem "Hispanic" and "Latin", LOL, but this Mediterranean DNA is receding because my wife has much less and our children benefit from the ancestry changing along with the Royal Arms, dropping France, picking up Holland and Germany, dropping them and settling down as Anglo-Celtic. My True Ancestry helps illuminate my Gothic descent, which always seems under the radar, because Aquitaine hasn't retained the tribal name, unlike Normandy and Burgundy. This puts the Plantagenets' ties to Aquitaine in perspective, down to when it was made a principality and the base for John of Gaunt's Castilian War. Thing is, I am also descended from the Duke of Lancaster several times on different sides of my family, LOL. Although I am directly paternally Viking-era Norwegian Germanic (matches 1000 Iceland) and maternally pre-Saxon British Celtic (matches Iron Age Cambridgeshire), this is the best I could square up my four grandparents going back patrilineally and matrilineally, relatively speaking:


LIVING DNA


Eurogenes K13 4-Ancestors Oracle
1 Norwegian + Norwegian + Southeast_English + Spanish_Murcia @ 1.809008


[Paternal Grandfather + Maternal Grandfather + Maternal Grandmother + Paternal Grandmother]


Eurogenes EUtest V2 K15 4-Ancestors Oracle
1 Norwegian + Norwegian + Orcadian + Spanish_Cantabria @ 1.966599


[Paternal Grandfather + Maternal Grandfather + Maternal Grandmother + Paternal Grandmother]


Dodecad K12b 4-Ancestors Oracle
1 Argyll_1000Genomes + British_Isles_Dodecad + Cataluna_1000Genomes + Hungarians_Behar @ 1.425753


[Maternal Grandmother + Maternal Grandfather + Paternal Grandmother + Paternal Grandfather]


ANCESTRY DNA


Eurogenes K13 4-Ancestors Oracle
1 Danish + Norwegian + Southeast_English + Spanish_Murcia @ 1.475546


[Maternal Grandfather + Paternal Grandfather + Maternal Grandmother + Paternal Grandmother]


Eurogenes EUtest V2 K15 4-Ancestors Oracle
1 Orcadian + Spanish_Extremadura + West_Norwegian + West_Norwegian @ 2.307101


[Maternal Grandmother + Paternal Grandmother + Paternal Grandfather + Maternal Grandfather]


Dodecad K12b 4-Ancestors Oracle
1 British_Isles_Dodecad + Cornwall_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.135236


[Maternal Grandfather + Maternal Grandmother + Paternal Grandfather + Paternal Grandmother]

I'm not Saxon as I'm Irish but the MDLP calcs have British Isles pops so people from that areas should at least get closer results to a British/Irish pop or even Northwestern Euro. Some of the calcs obviously are suffering from the calculator effect. I usually much closer to Orcadian and why is Welsh so far from Orcadian?

Admix Results (sorted):

# Population Percent
1 North-East-European 49.85
2 Atlantic_Mediterranean_Neolithic 33.49
3 West-Asian 7.3
4 North-European-Mesolithic 4.73
5 Indo-Iranian 1.67
6 Samoedic 1.3
7 Near_East 0.82
8 South-America_Amerind 0.59
9 Arctic-Amerind 0.17
10 Mesoamerican 0.07

Single Population Sharing:

# Population (source) Distance
1 German_V (derived) 2.03
2 CEU_V (derived) 2.45
3 Austrian (derived) 3.51
4 Welsh (derived) 4.65
5 German-North (derived) 5.35
6 Hungarian (derived) 5.5
7 CEU (derived) 5.7
8 Swedish (derived) 6.11
9 German (derived) 6.18
10 Slovenian (derived) 6.39
11 British (derived) 6.55
12 Norwegian_V (derived) 6.72
13 Croatian (derived) 7.56
14 Orcadian (derived) 7.59
15 German-South (derived) 8.5
16 Bosnian (derived) 8.6
17 Swedish_V (derived) 9.04
18 Czech (derived) 9.4
19 Serbian (derived) 9.54
20 Croatian_V (derived) 10.87

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.6% German_V (derived) + 17.4% Norwegian_V (derived) @ 1.49
2 73.6% British (derived) + 26.4% Latvian_V (derived) @ 1.54
3 98.1% CEU_V (derived) + 1.9% West-Asian (ancestral) @ 1.57
4 96.7% CEU_V (derived) + 3.3% Avar (derived) @ 1.58
5 96.7% CEU_V (derived) + 3.3% Lak (derived) @ 1.6
6 96.6% CEU_V (derived) + 3.4% Tabassaran (derived) @ 1.62
7 96.8% CEU_V (derived) + 3.2% Lezgin (derived) @ 1.64
8 96.7% CEU_V (derived) + 3.3% Chechen (derived) @ 1.65
9 82.2% German_V (derived) + 17.8% CEU (derived) @ 1.65
10 76.5% CEU (derived) + 23.5% Latvian_V (derived) @ 1.66
11 97.3% CEU_V (derived) + 2.7% Abhkasian (derived) @ 1.67
12 96.8% CEU_V (derived) + 3.2% NorthOssetian (derived) @ 1.68
13 96.9% CEU_V (derived) + 3.1% Ossetian (derived) @ 1.68
14 79.3% German_V (derived) + 20.7% Welsh (derived) @ 1.68
15 96.5% CEU_V (derived) + 3.5% Balkarian (derived) @ 1.69
16 86.8% German_V (derived) + 13.2% Orcadian (derived) @ 1.69
17 96.6% CEU_V (derived) + 3.4% Adygei (derived) @ 1.7
18 96.7% CEU_V (derived) + 3.3% Kabardinian (derived) @ 1.71
19 51.6% German (derived) + 48.4% British (derived) @ 1.72
20 85.5% German_V (derived) + 14.5% British (derived) @ 1.72

[Nordarya]

I'm guessing my Goth ancestry from Aquitaine and Spain is shared with Vandal ancestry in Andalusia and Africa. This here is the lowest distance between Eurogenes K13 & K15, Dodecad K12b, but I can assure everyone I am neither 94.1% Southeast_English, nor 5.9% Tunisian, except comparatively speaking, LOL:

ANCESTRY DNA

Eurogenes K13 Oracle results:

Mixed Mode Population Sharing:


<tbody data-iceapw="168" data-iceapc="250">
#

Primary Population (source)
Secondary Population (source)
Distance


1

94.1%
Southeast_English
+
5.9%
Tunisian
@
1.13

</tbody>


Regular Oracle admix calculations seem more accurate for primary and mostly so for double digit secondary populations:

LIVING DNA

Eurogenes K13 Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
North_Atlantic
48.26


2
Baltic
22.67


3
West_Med
14.33


4
East_Med
6.61


5
West_Asian
3.76


6
Sub-Saharan
1.38


7
Amerindian
0.95


8
Red_Sea
0.79


9
South_Asian
0.73


10
Oceanian
0.28


11
Siberian
0.24

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Southeast_English
3.09


2
South_Dutch
4.44


3
Southwest_English
5.15


4
Orcadian
5.3


5
West_German
5.66


6
North_Dutch
6.17


7
Danish
6.35


8
Irish
6.58


9
West_Scottish
6.64


10
North_German
6.83


11
Norwegian
8.51


12
French
9.19


13
Swedish
10.02


14
Austrian
12.13


15
East_German
12.95


16
North_Swedish
15.15


17
Spanish_Cataluna
16.24


18
Hungarian
16.67


19
Spanish_Castilla_Y_Leon
17.41


20
Spanish_Galicia
17.67

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

94.7%
Southeast_English
+
5.3%
Tunisian
@
1.46


2

94.7%
Southeast_English
+
5.3%
Mozabite_Berber
@
1.49


3

94.7%
Southeast_English
+
5.3%
Algerian
@
1.52


4

95%
Southeast_English
+
5%
Moroccan
@
1.67


5

95.8%
Southeast_English
+
4.2%
Egyptian
@
1.81


6

94.9%
Southeast_English
+
5.1%
Algerian_Jewish
@
1.91


7

94.3%
Southeast_English
+
5.7%
Ashkenazi
@
1.94


8

96%
Southeast_English
+
4%
Bedouin
@
1.96


9

69.5%
Norwegian
+
30.5%
Spanish_Valencia
@
1.98


10

95.4%
Southeast_English
+
4.6%
Libyan_Jewish
@
1.99


11

95.3%
Southeast_English
+
4.7%
Tunisian_Jewish
@
1.99


12

93.6%
Southeast_English
+
6.4%
West_Sicilian
@
2


13

76.3%
North_Dutch
+
23.7%
Spanish_Valencia
@
2.01


14

96.6%
Southeast_English
+
3.4%
Yemenite_Jewish
@
2.01


15

69.5%
Norwegian
+
30.5%
Spanish_Murcia
@
2.02


16

95%
Southeast_English
+
5%
Italian_Jewish
@
2.03


17

93.2%
Southeast_English
+
6.8%
Greek_Thessaly
@
2.03


18

94.2%
Southeast_English
+
5.8%
East_Sicilian
@
2.03


19

95%
Southeast_English
+
5%
Sephardic_Jewish
@
2.03


20

75.8%
Danish
+
24.2%
Spanish_Valencia
@
2.04


</tbody>
Eurogenes EUtest V2 K15 Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
North_Sea
34.8


2
Atlantic
27.02


3
West_Med
11.11


4
Eastern_Euro
9.91


5
Baltic
9.08


6
East_Med
2.73


7
West_Asian
2.23


8
Sub-Saharan
1.1


9
Red_Sea
0.74


10
Amerindian
0.58


11
South_Asian
0.45


12
Northeast_African
0.14


13
Oceanian
0.12

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Southwest_English
3.1


2
Southeast_English
3.99


3
South_Dutch
5.33


4
Danish
5.73


5
North_Dutch
5.82


6
West_Scottish
5.92


7
Irish
5.93


8
Orcadian
6.31


9
West_German
6.37


10
North_German
6.75


11
Norwegian
8.1


12
French
8.88


13
West_Norwegian
9.06


14
Swedish
9.69


15
North_Swedish
11.74


16
East_German
12.16


17
Southwest_Finnish
16.11


18
Austrian
16.21


19
Spanish_Galicia
16.34


20
Spanish_Cataluna
16.43

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

68.1%
West_Norwegian
+
31.9%
Spanish_Cantabria
@
2.08


2

70%
West_Norwegian
+
30%
Spanish_Castilla_La_Mancha
@
2.08


3

70.6%
West_Norwegian
+
29.4%
Spanish_Aragon
@
2.21


4

69.9%
West_Norwegian
+
30.1%
Spanish_Valencia
@
2.26


5

71.8%
West_Norwegian
+
28.2%
Spanish_Andalucia
@
2.38


6

69.1%
West_Norwegian
+
30.9%
Southwest_French
@
2.46


7

73.2%
Norwegian
+
26.8%
Spanish_Aragon
@
2.48


8

65.1%
West_Norwegian
+
34.9%
Spanish_Cataluna
@
2.5


9

95.7%
Southwest_English
+
4.3%
Chuvash
@
2.51


10

96.9%
Southwest_English
+
3.1%
MA-1
@
2.52


11

70.9%
Norwegian
+
29.1%
Spanish_Cantabria
@
2.52


12

72.7%
Norwegian
+
27.3%
Spanish_Castilla_La_Mancha
@
2.53


13

96.3%
Southwest_English
+
3.7%
Mari
@
2.54


14

68.3%
West_Norwegian
+
31.7%
Spanish_Extremadura
@
2.55


15

68.3%
West_Norwegian
+
31.7%
Spanish_Murcia
@
2.58


16

98.6%
Southwest_English
+
1.4%
Mandenka
@
2.65


17

98.6%
Southwest_English
+
1.4%
Bantu_S.E.
@
2.65


18

98.6%
Southwest_English
+
1.4%
Bantu_S.W.
@
2.65


19

98.5%
Southwest_English
+
1.5%
Biaka_Pygmy
@
2.65


20

78.3%
Southwest_English
+
21.7%
West_German
@
2.65


</tbody>
Dodecad K12b Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
North_European
40.95


2
Atlantic_Med
40.49


3
Gedrosia
8.61


4
Caucasus
6.7


5
Southwest_Asian
1.63


6
Sub_Saharan
1.25


7
South_Asian
0.37

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Mixed_Germanic (Dodecad)
4.42


2
Kent (1000Genomes)
4.85


3
Dutch (Dodecad)
5.25


4
French (Dodecad)
5.38


5
CEU30 (1000Genomes)
5.46


6
English (Dodecad)
5.5


7
French (HGDP)
5.99


8
Cornwall (1000Genomes)
6.41


9
British_Isles (Dodecad)
6.62


10
British (Dodecad)
6.84


11
Irish (Dodecad)
8.15


12
Argyll (1000Genomes)
8.22


13
Orcadian (HGDP)
8.43


14
Orkney (1000Genomes)
8.66


15
German (Dodecad)
10.22


16
Norwegian (Dodecad)
14.73


17
Swedish (Dodecad)
17.01


18
Hungarians (Behar)
17.25


19
Cataluna (1000Genomes)
18.51


20
Galicia (1000Genomes)
19.34

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

81.1%
British_Isles (Dodecad)
+
18.9%
O_Italian (Dodecad)
@
1.53


2

86.3%
British_Isles (Dodecad)
+
13.7%
S_Italian_Sicilian (Dodecad)
@
1.65


3

86.3%
British_Isles (Dodecad)
+
13.7%
Sicilian (Dodecad)
@
1.66


4

87%
British_Isles (Dodecad)
+
13%
Ashkenazy_Jews (Behar)
@
1.73


5

87%
British_Isles (Dodecad)
+
13%
Ashkenazi (Dodecad)
@
1.73


6

89.8%
British_Isles (Dodecad)
+
10.2%
Cypriots (Behar)
@
1.76


7

88%
British_Isles (Dodecad)
+
12%
Sephardic_Jews (Behar)
@
1.78


8

83.7%
British_Isles (Dodecad)
+
16.3%
C_Italian (Dodecad)
@
1.79


9

80.8%
Dutch (Dodecad)
+
19.2%
Baleares (1000Genomes)
@
1.85


10

55.7%
Mixed_Germanic (Dodecad)
+
44.3%
French (Dodecad)
@
1.85


11

50.7%
Dutch (Dodecad)
+
49.3%
French (Dodecad)
@
1.9


12

58.7%
Mixed_Germanic (Dodecad)
+
41.3%
French (HGDP)
@
1.9


13

90.5%
Kent (1000Genomes)
+
9.5%
Ashkenazi (Dodecad)
@
1.91


14

85.2%
British_Isles (Dodecad)
+
14.8%
Greek (Dodecad)
@
1.91


15

84.3%
English (Dodecad)
+
15.7%
O_Italian (Dodecad)
@
1.94


16

86.1%
Kent (1000Genomes)
+
13.9%
O_Italian (Dodecad)
@
1.94


17

79.8%
Dutch (Dodecad)
+
20.2%
Galicia (1000Genomes)
@
1.94


18

90.6%
Kent (1000Genomes)
+
9.4%
Ashkenazy_Jews (Behar)
@
1.95


19

53.8%
Dutch (Dodecad)
+
46.2%
French (HGDP)
@
1.97


20

88%
British_Isles (Dodecad)
+
12%
Morocco_Jews (Behar)
@
1.98


</tbody>
ANCESTRY DNA

Eurogenes K13 Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
North_Atlantic
48.03


2
Baltic
22.33


3
West_Med
14.47


4
East_Med
6.72


5
West_Asian
4.23


6
Sub-Saharan
1.26


7
Amerindian
0.86


8
Red_Sea
0.77


9
Oceanian
0.42


10
South_Asian
0.38


11
Northeast_African
0.25


12
Siberian
0.19


13
East_Asian
0.1

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Southeast_English
3.23


2
South_Dutch
4.07


3
Southwest_English
5.17


4
West_German
5.24


5
Orcadian
5.52


6
North_Dutch
6.36


7
Danish
6.6


8
Irish
6.71


9
West_Scottish
6.81


10
North_German
6.93


11
Norwegian
8.78


12
French
8.79


13
Swedish
10.29


14
Austrian
12.03


15
East_German
12.96


16
North_Swedish
15.43


17
Spanish_Cataluna
15.88


18
Hungarian
16.58


19
Spanish_Castilla_Y_Leon
17.05


20
Spanish_Galicia
17.36

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

94.1%
Southeast_English
+
5.9%
Tunisian
@
1.13


2

94.1%
Southeast_English
+
5.9%
Mozabite_Berber
@
1.18


3

94.1%
Southeast_English
+
5.9%
Algerian
@
1.21


4

94.3%
Southeast_English
+
5.7%
Moroccan
@
1.38


5

95.2%
Southeast_English
+
4.8%
Egyptian
@
1.53


6

94.1%
Southeast_English
+
5.9%
Algerian_Jewish
@
1.61


7

75.1%
North_Dutch
+
24.9%
Spanish_Murcia
@
1.67


8

75.2%
North_Dutch
+
24.8%
Spanish_Valencia
@
1.67


9

94.6%
Southeast_English
+
5.4%
Libyan_Jewish
@
1.69


10

93.5%
Southeast_English
+
6.5%
Ashkenazi
@
1.69


11

92.6%
Southeast_English
+
7.4%
West_Sicilian
@
1.69


12

94.6%
Southeast_English
+
5.4%
Tunisian_Jewish
@
1.7


13

95.4%
Southeast_English
+
4.6%
Bedouin
@
1.72


14

93.3%
Southeast_English
+
6.7%
East_Sicilian
@
1.74


15

68.3%
Norwegian
+
31.7%
Spanish_Murcia
@
1.74


16

94.2%
Southeast_English
+
5.8%
Italian_Jewish
@
1.75


17

94.2%
Southeast_English
+
5.8%
Sephardic_Jewish
@
1.75


18

91.2%
Southeast_English
+
8.8%
Tuscan
@
1.76


19

72.1%
North_Dutch
+
27.9%
Spanish_Cataluna
@
1.77


20

95.4%
Southeast_English
+
4.6%
Jordanian
@
1.79


</tbody>
Eurogenes EUtest V2 K15 Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
North_Sea
35.78


2
Atlantic
26.3


3
West_Med
11.23


4
Eastern_Euro
9.68


5
Baltic
8.49


6
West_Asian
3


7
East_Med
2.52


8
Sub-Saharan
1.01


9
Red_Sea
0.61


10
Amerindian
0.46


11
Northeast_African
0.45


12
Oceanian
0.28


13
South_Asian
0.21

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Southwest_English
3.29


2
Southeast_English
4.34


3
North_Dutch
5.75


4
Orcadian
5.86


5
Danish
5.91


6
South_Dutch
5.99


7
West_German
6.05


8
West_Scottish
6.09


9
Irish
6.24


10
North_German
7.19


11
Norwegian
7.83


12
West_Norwegian
8.57


13
French
9.23


14
Swedish
9.54


15
North_Swedish
11.83


16
East_German
12.73


17
Spanish_Galicia
16.69


18
Southwest_Finnish
16.69


19
Austrian
16.96


20
Spanish_Cataluna
16.98

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

70.1%
West_Norwegian
+
29.9%
Spanish_Cantabria
@
2.26


2

71.9%
West_Norwegian
+
28.1%
Spanish_Castilla_La_Mancha
@
2.28


3

70.1%
West_Norwegian
+
29.9%
Spanish_Extremadura
@
2.46


4

73.6%
West_Norwegian
+
26.4%
Spanish_Andalucia
@
2.53


5

72.7%
West_Norwegian
+
27.3%
Spanish_Aragon
@
2.56


6

67.3%
West_Norwegian
+
32.7%
Spanish_Cataluna
@
2.59


7

70.2%
West_Norwegian
+
29.8%
Spanish_Murcia
@
2.61


8

72%
West_Norwegian
+
28%
Spanish_Valencia
@
2.63


9

73.5%
Southwest_English
+
26.5%
West_German
@
2.64


10

68.4%
West_Norwegian
+
31.6%
Portuguese
@
2.66


11

69.1%
West_Norwegian
+
30.9%
Spanish_Castilla_Y_Leon
@
2.82


12

52.1%
West_Norwegian
+
47.9%
French
@
2.83


13

96.3%
Southwest_English
+
3.7%
Chuvash
@
2.9


14

98.5%
Southwest_English
+
1.5%
Mbuti_Pygmy
@
2.91


15

98.5%
Southwest_English
+
1.5%
Bantu_N.E.
@
2.91


16

98.5%
Southwest_English
+
1.5%
Luhya
@
2.92


17

82.8%
Southwest_English
+
17.2%
Norwegian
@
2.92


18

98.4%
Southwest_English
+
1.6%
San
@
2.92


19

98.6%
Southwest_English
+
1.4%
Biaka_Pygmy
@
2.92


20

96.9%
Southwest_English
+
3.1%
Mari
@
2.93


</tbody>
Dodecad K12b Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
North_European
40.65


2
Atlantic_Med
40.16


3
Caucasus
8.36


4
Gedrosia
8.29


5
Southwest_Asian
1.12


6
Sub_Saharan
0.75


7
East_African
0.41


8
South_Asian
0.27

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Mixed_Germanic (Dodecad)
4.73


2
French (Dodecad)
5.26


3
French (HGDP)
5.76


4
Kent (1000Genomes)
5.91


5
Dutch (Dodecad)
5.92


6
CEU30 (1000Genomes)
6.47


7
English (Dodecad)
6.56


8
Cornwall (1000Genomes)
7.58


9
British_Isles (Dodecad)
7.71


10
British (Dodecad)
8.09


11
Irish (Dodecad)
9.39


12
Argyll (1000Genomes)
9.4


13
Orcadian (HGDP)
9.67


14
German (Dodecad)
9.82


15
Orkney (1000Genomes)
9.88


16
Norwegian (Dodecad)
15.43


17
Hungarians (Behar)
16.4


18
Swedish (Dodecad)
17.53


19
Cataluna (1000Genomes)
18.36


20
Galicia (1000Genomes)
18.99

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

77.6%
British_Isles (Dodecad)
+
22.4%
O_Italian (Dodecad)
@
1.22


2

79.5%
Dutch (Dodecad)
+
20.5%
North_Italian (HGDP)
@
1.28


3

82.2%
British_Isles (Dodecad)
+
17.8%
Greek (Dodecad)
@
1.33


4

77.8%
Cornwall (1000Genomes)
+
22.2%
Bulgarians (Yunusbayev)
@
1.5


5

78.3%
Dutch (Dodecad)
+
21.7%
N_Italian (Dodecad)
@
1.5


6

84.6%
British_Isles (Dodecad)
+
15.4%
Ashkenazy_Jews (Behar)
@
1.52


7

83.9%
British_Isles (Dodecad)
+
16.1%
Sicilian (Dodecad)
@
1.58


8

80.7%
British_Isles (Dodecad)
+
19.3%
C_Italian (Dodecad)
@
1.59


9

86.1%
Kent (1000Genomes)
+
13.9%
Greek (Dodecad)
@
1.6


10

83.9%
British_Isles (Dodecad)
+
16.1%
S_Italian_Sicilian (Dodecad)
@
1.62


11

84.6%
British_Isles (Dodecad)
+
15.4%
Ashkenazi (Dodecad)
@
1.65


12

63.7%
French (HGDP)
+
36.3%
German (Dodecad)
@
1.66


13

87.9%
British_Isles (Dodecad)
+
12.1%
Cypriots (Behar)
@
1.67


14

80.9%
CEU30 (1000Genomes)
+
19.1%
O_Italian (Dodecad)
@
1.71


15

84.7%
English (Dodecad)
+
15.3%
Greek (Dodecad)
@
1.73


16

80.7%
English (Dodecad)
+
19.3%
O_Italian (Dodecad)
@
1.76


17

82.3%
CEU30 (1000Genomes)
+
17.7%
Tuscan (HGDP)
@
1.76


18

84.9%
CEU30 (1000Genomes)
+
15.1%
Greek (Dodecad)
@
1.77


19

76.7%
Cornwall (1000Genomes)
+
23.3%
Romanians (Behar)
@
1.77


20

83.5%
CEU30 (1000Genomes)
+
16.5%
C_Italian (Dodecad)
@
1.77


</tbody>

[Nordarya]

I'm not Saxon as I'm Irish but the MDLP calcs have British Isles pops so people from that areas should at least get closer results to a British/Irish pop or even Northwestern Euro. Some of the calcs obviously are suffering from the calculator effect. I usually much closer to Orcadian and why is Welsh so far from Orcadian?

Admix Results (sorted):

# Population Percent
1 North-East-European 49.85
2 Atlantic_Mediterranean_Neolithic 33.49
3 West-Asian 7.3
4 North-European-Mesolithic 4.73
5 Indo-Iranian 1.67
6 Samoedic 1.3
7 Near_East 0.82
8 South-America_Amerind 0.59
9 Arctic-Amerind 0.17
10 Mesoamerican 0.07

Single Population Sharing:

# Population (source) Distance
1 German_V (derived) 2.03
2 CEU_V (derived) 2.45
3 Austrian (derived) 3.51
4 Welsh (derived) 4.65
5 German-North (derived) 5.35
6 Hungarian (derived) 5.5
7 CEU (derived) 5.7
8 Swedish (derived) 6.11
9 German (derived) 6.18
10 Slovenian (derived) 6.39
11 British (derived) 6.55
12 Norwegian_V (derived) 6.72
13 Croatian (derived) 7.56
14 Orcadian (derived) 7.59
15 German-South (derived) 8.5
16 Bosnian (derived) 8.6
17 Swedish_V (derived) 9.04
18 Czech (derived) 9.4
19 Serbian (derived) 9.54
20 Croatian_V (derived) 10.87

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.6% German_V (derived) + 17.4% Norwegian_V (derived) @ 1.49
2 73.6% British (derived) + 26.4% Latvian_V (derived) @ 1.54
3 98.1% CEU_V (derived) + 1.9% West-Asian (ancestral) @ 1.57
4 96.7% CEU_V (derived) + 3.3% Avar (derived) @ 1.58
5 96.7% CEU_V (derived) + 3.3% Lak (derived) @ 1.6
6 96.6% CEU_V (derived) + 3.4% Tabassaran (derived) @ 1.62
7 96.8% CEU_V (derived) + 3.2% Lezgin (derived) @ 1.64
8 96.7% CEU_V (derived) + 3.3% Chechen (derived) @ 1.65
9 82.2% German_V (derived) + 17.8% CEU (derived) @ 1.65
10 76.5% CEU (derived) + 23.5% Latvian_V (derived) @ 1.66
11 97.3% CEU_V (derived) + 2.7% Abhkasian (derived) @ 1.67
12 96.8% CEU_V (derived) + 3.2% NorthOssetian (derived) @ 1.68
13 96.9% CEU_V (derived) + 3.1% Ossetian (derived) @ 1.68
14 79.3% German_V (derived) + 20.7% Welsh (derived) @ 1.68
15 96.5% CEU_V (derived) + 3.5% Balkarian (derived) @ 1.69
16 86.8% German_V (derived) + 13.2% Orcadian (derived) @ 1.69
17 96.6% CEU_V (derived) + 3.4% Adygei (derived) @ 1.7
18 96.7% CEU_V (derived) + 3.3% Kabardinian (derived) @ 1.71
19 51.6% German (derived) + 48.4% British (derived) @ 1.72
20 85.5% German_V (derived) + 14.5% British (derived) @ 1.72I get you, how it seems every calculator is different, especially when it comes down to single digit noise and I've had a field day analysing both Living DNA and Ancestry DNA to find a basis for consistent ancestry, whilst ignoring the conflicting information, since they both say British Isles and the smaller percentages don't match, so I'm just essentially British Isles and that's fine. The fact that these genes are shared with neighbouring populations, but are identified as British Isles, just strengthens the main blood as one coalesced unit, tangents or not.

[Leto]

@Nordarya, you have distant Jigaboo ancestry, congrats :cool:
Put the Africans banner ✊🏿

[Nordarya]

@Nordarya, you have distant Jigaboo ancestry, congrats :cool:
Put the Africans banner ✊
If that's true, then I am Papuan, Puerto Rican, Chuvash, Mari, Ashkenazi, Turk, Cypriot, Jordanian, etc. I challenge you to find them in my family tree. These pie charts and admix calculations are insane. Some say Asian, some say Amerindian, some say African. It all comes and goes, both percentage changes and types of non-Europid, all in the 0-1+% range, depending on app. Eurogenes and Dodecad don't corner the market on admix analysis, you know.

[JamesBond007]

I'm not Saxon as I'm Irish but the MDLP calcs have British Isles pops so people from that areas should at least get closer results to a British/Irish pop or even Northwestern Euro. Some of the calcs obviously are suffering from the calculator effect. I usually much closer to Orcadian and why is Welsh so far from Orcadian?

Admix Results (sorted):

# Population Percent
1 North-East-European 49.85
2 Atlantic_Mediterranean_Neolithic 33.49
3 West-Asian 7.3
4 North-European-Mesolithic 4.73
5 Indo-Iranian 1.67
6 Samoedic 1.3
7 Near_East 0.82
8 South-America_Amerind 0.59
9 Arctic-Amerind 0.17
10 Mesoamerican 0.07

Single Population Sharing:

# Population (source) Distance
1 German_V (derived) 2.03
2 CEU_V (derived) 2.45
3 Austrian (derived) 3.51
4 Welsh (derived) 4.65
5 German-North (derived) 5.35
6 Hungarian (derived) 5.5
7 CEU (derived) 5.7
8 Swedish (derived) 6.11
9 German (derived) 6.18
10 Slovenian (derived) 6.39
11 British (derived) 6.55
12 Norwegian_V (derived) 6.72
13 Croatian (derived) 7.56
14 Orcadian (derived) 7.59
15 German-South (derived) 8.5
16 Bosnian (derived) 8.6
17 Swedish_V (derived) 9.04
18 Czech (derived) 9.4
19 Serbian (derived) 9.54
20 Croatian_V (derived) 10.87

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.6% German_V (derived) + 17.4% Norwegian_V (derived) @ 1.49
2 73.6% British (derived) + 26.4% Latvian_V (derived) @ 1.54
3 98.1% CEU_V (derived) + 1.9% West-Asian (ancestral) @ 1.57
4 96.7% CEU_V (derived) + 3.3% Avar (derived) @ 1.58
5 96.7% CEU_V (derived) + 3.3% Lak (derived) @ 1.6
6 96.6% CEU_V (derived) + 3.4% Tabassaran (derived) @ 1.62
7 96.8% CEU_V (derived) + 3.2% Lezgin (derived) @ 1.64
8 96.7% CEU_V (derived) + 3.3% Chechen (derived) @ 1.65
9 82.2% German_V (derived) + 17.8% CEU (derived) @ 1.65
10 76.5% CEU (derived) + 23.5% Latvian_V (derived) @ 1.66
11 97.3% CEU_V (derived) + 2.7% Abhkasian (derived) @ 1.67
12 96.8% CEU_V (derived) + 3.2% NorthOssetian (derived) @ 1.68
13 96.9% CEU_V (derived) + 3.1% Ossetian (derived) @ 1.68
14 79.3% German_V (derived) + 20.7% Welsh (derived) @ 1.68
15 96.5% CEU_V (derived) + 3.5% Balkarian (derived) @ 1.69
16 86.8% German_V (derived) + 13.2% Orcadian (derived) @ 1.69
17 96.6% CEU_V (derived) + 3.4% Adygei (derived) @ 1.7
18 96.7% CEU_V (derived) + 3.3% Kabardinian (derived) @ 1.71
19 51.6% German (derived) + 48.4% British (derived) @ 1.72
20 85.5% German_V (derived) + 14.5% British (derived) @ 1.72

Here is a little secret not many people know : MDLP is optimized for Lithuanians and perhaps other Baltic people.

[Leto]

If that's true, then I am Papuan, Puerto Rican, Chuvash, Mari, Ashkenazi, Turk, Cypriot, Jordanian, etc. I challenge you to find them in my family tree. These pie charts and admix calculations are insane. Some say Asian, some say Amerindian, some say African. It all comes and goes, both percentage changes and types of non-Europid, all in the 0-1+% range, depending on app. Eurogenes and Dodecad don't corner the market on admix analysis, you know.
Well, maybe it's from 200 years ago or so. How much African do you get on Dodecad World9?

[JamesBond007]

If that's true, then I am Papuan, Puerto Rican, Chuvash, Mari, Ashkenazi, Turk, Cypriot, Jordanian, etc. I challenge you to find them in my family tree. These pie charts and admix calculations are insane. Some say Asian, some say Amerindian, some say African. It all comes and goes, both percentage changes and types of non-Europid, all in the 0-1+% range, depending on app. Eurogenes and Dodecad don't corner the market on admix analysis, you know.

LivingDNA is the only honest calculator for Brits certain continental ancestry shows up as SouthEast English this not wrong , per se, because Southeast people are the most influenced by the continent.

For example, my 25% kraut , from Alsace-Lorraine is Danube Swabian and Frankish. The Franks did invad England because people like Hugh Grant are a mix of Iron-age celt and Frankish. My Danube Swabian is related to the Swaefas Germanic tribe that founded Swaffham England. Also, LivingDNA tells me I am 100% European unlike these politically correct calculators telling me I am part nigger, Eskimo, Papuan etc.. etc..

[Nordarya]

Well, maybe it's from 200 years ago or so. How much African do you get on Dodecad World9?

Looks like a typical pied noir sample, non? If I somehow have Sephardic ancestry, I would not be surprised. I've already been told that my mtDNA haplogroup K is found mostly among Ashkenazi women.

https://www.eupedia.com/europe/Haplogroup_K_mtDNA.shtml
https://en.wikipedia.org/wiki/Haplogroup_K_(mtDNA)

Every app's Oracle+4 gives me only Mediterranean European and/or North African populations.

EthioHelix K10 + French Oracle results:

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

72.6%
french
+
27.4%
algeria
@
0.83

</tbody>


For EthioHelix, I may not have much in the way of Japanese, but straight up resonance with Palestinian and Egyptian. Nevertheless, Omotic seems to be the source of African DNA and this region is Abyssinian, not SSA. How I got it, I can only speculate, but due to the sheer number of Graecoroman and North African admixes, verifies that I have distant Afroasiatic, likely through the connection between Cartagena and Carthage, knowing that I do have a Gothic relationship with Spain from Aquitaine.

puntDNAL K8 African only Oracle results gives me 100% Egyptian in mixed mode with 0% every African population. Actual SSA populations are only extremely distant, beyond all of that, the nearest non-Saharan group past 80.0 @ Kenyan_Masaai (who are 62% E1b), on a test specifically designed to detect SSA. This indicates that any African DNA is from a Nile-to-Mediterranean gene flow and not as a result of the Trans-Atlantic Triangular Slave Trade. Considering the perfect Egyptian rating, I would say that this was down through the Delta and across the Mediterranean coast through the majority Semitic population and assimilated by the Persian, Greek and Roman empires, until it made its way into Europe.




Living DNA
Africa9 Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
Europe
68.96


2
SW_Asia
25.33


3
NW_Africa
3.23


4
E_Africa
1


5
Biaka
0.83


6
San
0.63


7
W_Africa
0.03

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
North_Italian
4.86


2
Tuscan
5.61


3
Morocco_Jews
25.93


4
North_African_Jews (Dodecad)
33.4


5
French_Basque
41.72


6
Druze
42.14


7
Jordanians
48.43


8
Egypt
54.94


9
Egyptans
57.52


10
Yemenese
62.37


11
North_African (Dodecad)
62.95


12
Libya
65.35


13
Bedouin
70.81


14
Algeria
71.53


15
Morocco_N
73.83


16
Yemen_Jews
74.06


17
Saudis
79.58


18
Moroccans
82.78


19
Ethiopian_Jews
84.25


20
Ethiopians
84.27

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

93.4%
North_Italian
+
6.6%
Libya
@
1.51


2

94.9%
North_Italian
+
5.1%
East_African (Dodecad)
@
1.68


3

94.9%
North_Italian
+
5.1%
Ethiopian_Jews
@
1.7


4

94.9%
North_Italian
+
5.1%
Ethiopians
@
1.73


5

92.7%
North_Italian
+
7.3%
Egyptans
@
1.74


6

92.4%
North_Italian
+
7.6%
Egypt
@
1.78


7

55.6%
North_African_Jews (Dodecad)
+
44.4%
French_Basque
@
1.97


8

53.7%
French_Basque
+
46.3%
Jordanians
@
2.01


9

62.9%
French_Basque
+
37.1%
Bedouin
@
2.11


10

93.4%
North_Italian
+
6.6%
Yemenese
@
2.13


11

85.6%
North_Italian
+
14.4%
Morocco_Jews
@
2.16


12

93.6%
North_Italian
+
6.4%
North_African (Dodecad)
@
2.3


13

94.4%
North_Italian
+
5.6%
Algeria
@
2.37


14

88.8%
North_Italian
+
11.2%
North_African_Jews (Dodecad)
@
2.43


15

95.7%
North_Italian
+
4.3%
Maasai
@
2.55


16

95.2%
North_Italian
+
4.8%
Moroccans
@
2.56


17

95.9%
North_Italian
+
4.1%
Sahara_OCC
@
2.6


18

95.5%
North_Italian
+
4.5%
Morocco_S
@
2.66


19

95.8%
North_Italian
+
4.2%
SANDAWE
@
2.67


20

94.6%
North_Italian
+
5.4%
Bedouin
@
2.68

</tbody>
Africa9 4-Ancestors Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
Europe
68.96


2
SW_Asia
25.33


3
NW_Africa
3.23


4
E_Africa
1.00

</tbody>


Finished reading population data. 54 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 North_Italian @ 4.552517
2 Tuscan @ 5.484910
3 Morocco_Jews @ 24.319345
4 North_African_Jews_Dodecad @ 31.271042
5 French_Basque @ 38.986019
6 Druze @ 39.604889
7 Jordanians @ 45.298275
8 Egypt @ 51.288792
9 Egyptans @ 53.699337
10 Yemenese @ 58.262970
11 North_African_Dodecad @ 60.512138
12 Libya @ 61.519260
13 Bedouin @ 66.209587
14 Algeria @ 68.785690
15 Yemen_Jews @ 69.442436
16 Morocco_N @ 71.738686
17 Saudis @ 74.607719
18 Moroccans @ 79.824341
19 Ethiopian_Jews @ 82.007942
20 Ethiopians @ 82.080521

Using 2 populations approximation:
1 50% North_Italian +50% Tuscan @ 3.752968


Using 3 populations approximation:
1 50% French_Basque +25% Jordanians +25% North_African_Jews_Dodecad @ 1.051237


Using 4 populations approximation:
+++++++++++++++
1 French_Basque + French_Basque + Jordanians + North_African_Jews_Dodecad @ 1.051237
2 French_Basque + Jordanians + North_Italian + North_Italian @ 2.149439
3 French_Basque + North_African_Jews_Dodecad + Tuscan + Tuscan @ 2.420192
4 Egypt + French_Basque + North_Italian + North_Italian @ 2.478917
5 French_Basque + French_Basque + Jordanians + Morocco_Jews @ 2.522790
6 Druze + French_Basque + French_Basque + North_African_Jews_Dodecad @ 2.794858
7 Egyptans + French_Basque + North_Italian + North_Italian @ 2.819581
8 French_Basque + Morocco_Jews + Morocco_Jews + North_Italian @ 2.883515
9 French_Basque + North_African_Jews_Dodecad + North_Italian + Tuscan @ 2.959404
10 French_Basque + Jordanians + North_Italian + Tuscan @ 2.975163
11 Egypt + French_Basque + North_Italian + Tuscan @ 3.059612
12 Bedouin + French_Basque + French_Basque + Morocco_Jews @ 3.183760
13 French_Basque + Morocco_Jews + Tuscan + Tuscan @ 3.208580
14 Druze + Egypt + French_Basque + French_Basque @ 3.242710
15 Druze + French_Basque + French_Basque + Jordanians @ 3.315200
16 Bedouin + French_Basque + French_Basque + Tuscan @ 3.364336
17 French_Basque + Morocco_Jews + Morocco_Jews + Tuscan @ 3.505044
18 Egyptans + French_Basque + North_Italian + Tuscan @ 3.631401
19 Morocco_Jews + North_Italian + North_Italian + North_Italian @ 3.712686
20 French_Basque + Morocco_Jews + North_African_Jews_Dodecad + North_Italian @ 3.740528

EthioHelix K10 + French Oracle results:

EthioHelix Africa + French

Admix Results (sorted):


<tbody>
#
Population
Percent


1
French
82.32


2
North-Africa
15.08


3
Omotic
1.79


4
Khoi-San
0.81

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
french
25.24


2
egypt
32.61


3
egyptans
36.33


4
libya
49.72


5
algeria
66.99


6
morocco-n
67.98


7
EtA
75.77


8
EtT
76.83


9
ethiopian-jews
77.24


10
moroccans
77.99


11
EtT-P
78.08


12
EtA-P
80.88


13
Afar
81.99


14
EtO-P
84.38


15
EtO
90.19


16
morocco-s
90.49


17
sahara-occ
93.54


18
Wolayta
93.78


19
EtS-P
94.2


20
Somali
94.72

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

72.6%
french
+
27.4%
algeria
@
0.83


2

75.6%
french
+
24.4%
moroccans
@
0.93


3

78.8%
french
+
21.2%
sahara-occ
@
0.96


4

72.9%
french
+
27.1%
morocco-n
@
1.26


5

83.2%
french
+
16.8%
mozabite
@
2.66


6

66.5%
french
+
33.5%
libya
@
3.22


7

78.5%
french
+
21.5%
morocco-s
@
5.08


8

56.7%
french
+
43.3%
egypt
@
6.41


9

59.6%
french
+
40.4%
egyptans
@
7.5


10

81.9%
french
+
18.1%
fulani
@
11.53


11

77.7%
french
+
22.3%
EtA
@
13.36


12

78.2%
french
+
21.8%
EtT
@
13.81


13

78.4%
french
+
21.6%
ethiopian-jews
@
14.04


14

81.5%
french
+
18.5%
EtO
@
15.17


15

79.2%
french
+
20.8%
EtT-P
@
15.3


16

80%
french
+
20%
EtA-P
@
15.59


17

80.7%
french
+
19.3%
EtO-P
@
15.63


18

83%
french
+
17%
hema
@
15.67


19

80.4%
french
+
19.6%
Afar
@
15.98


20

83.3%
french
+
16.7%
maasai
@
15.98

</tbody>

EthioHelix K10 + French 4-Ancestors Oracle


EthioHelix Africa + French

Admix Results (sorted):


<tbody>
#
Population
Percent


1
French
82.32


2
North-Africa
15.08


3
Omotic
1.79

</tbody>


Finished reading population data. 59 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 french @ 23.313265
2 egypt @ 30.547249
3 egyptans @ 34.145733
4 libya @ 45.847324
5 algeria @ 61.960045
6 morocco-n @ 62.936989
7 EtA @ 71.802437
8 moroccans @ 72.032600
9 EtT @ 72.775017
10 ethiopian-jews @ 73.189514
11 EtT-P @ 75.475998
12 EtA-P @ 78.070213
13 Afar @ 79.331474
14 EtO-P @ 80.860649
15 morocco-s @ 83.334183
16 EtO @ 84.996460
17 sahara-occ @ 86.458824
18 EtS-P @ 90.551529
19 Wolayta @ 90.710449
20 Somali @ 91.021683

Using 2 populations approximation:
1 50% egypt +50% french @ 7.616269


Using 3 populations approximation:
1 50% french +25% french +25% moroccans @ 1.089160


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++
1 french + french + french + moroccans @ 1.089160
2 french + french + french + morocco-n @ 2.108534
3 algeria + french + french + french @ 2.139574
4 french + french + french + sahara-occ @ 4.239738
5 french + french + french + morocco-s @ 6.621908
6 french + french + french + libya @ 6.744598
7 egypt + egypt + french + french @ 7.616269
8 egypt + egyptans + french + french @ 8.585905
9 egypt + french + french + libya @ 8.719598
10 egyptans + egyptans + french + french @ 9.567039
11 egyptans + french + french + libya @ 9.704814
12 algeria + egypt + french + french @ 11.090034
13 egypt + french + french + morocco-n @ 11.182137
14 egyptans + french + french + french @ 11.258095
15 egypt + french + french + french @ 11.431512
16 french + french + libya + libya @ 11.798814
17 french + french + french + mozabite @ 11.818910
18 algeria + egyptans + french + french @ 11.880923
19 egyptans + french + french + morocco-n @ 11.939571
20 egypt + french + french + moroccans @ 13.458858
EthioHelix K10 + Japanese Oracle results:


Admix Results (sorted):


<tbody>
#
Population
Percent


1
North-Africa
72.69


2
Japanese
16.94


3
Omotic
6.37


4
East-Africa1
1.54


5
Biaka-Pygmy
0.98


6
West-Africa
0.87


7
Khoi-San
0.62

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
egypt
6.33


2
libya
8.16


3
egyptans
9.7


4
algeria
13.93


5
morocco-n
15.89


6
moroccans
16.35


7
sahara-occ
18.42


8
morocco-s
27.27


9
mozabite
28.46


10
EtA
46.86


11
EtT
46.97


12
ethiopian-jews
49.97


13
EtT-P
52.89


14
EtA-P
55.01


15
Afar
56.49


16
EtO-P
59.95


17
fulani
60.45


18
EtO
65.04


19
Somali
66.12


20
EtS-P
68.83

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

90.5%
algeria
+
9.5%
japanese
@
3.59


2

94.9%
libya
+
5.1%
japanese
@
4.24


3

89.3%
moroccans
+
10.7%
japanese
@
5.38


4

98%
egypt
+
2%
japanese
@
5.75


5

89.7%
morocco-n
+
10.3%
japanese
@
5.78


6

87.8%
egypt
+
12.2%
morocco-n
@
5.99


7

89.5%
egypt
+
10.5%
moroccans
@
6.07


8

92.5%
egypt
+
7.5%
sahara-occ
@
6.16


9

95%
egypt
+
5%
morocco-s
@
6.17


10

89.9%
egypt
+
10.1%
algeria
@
6.17


11

88.1%
sahara-occ
+
11.9%
japanese
@
6.23


12

99%
egypt
+
1%
pedi
@
6.25


13

99.1%
egypt
+
0.9%
nguni
@
6.26


14

99.1%
egypt
+
0.9%
sotho/tswana
@
6.26


15

99.1%
egypt
+
0.9%
bantusouthafrica
@
6.26


16

99.1%
egypt
+
0.9%
fang
@
6.27


17

99.3%
egypt
+
0.7%
biakapygmy
@
6.27


18

99.2%
egypt
+
0.8%
kongo
@
6.27


19

99.1%
egypt
+
0.9%
luhya
@
6.27


20

99.1%
egypt
+
0.9%
xhosa
@
6.27

</tbody>
EthioHelix K10 + Japanese 4-Ancestors Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
North-Africa
72.69


2
Japanese
16.94


3
Omotic
6.37


4
East-Africa1
1.54

</tbody>


Finished reading population data. 59 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 egypt @ 6.603943
2 libya @ 7.372525
3 egyptans @ 9.858743
4 algeria @ 12.553159
5 moroccans @ 14.504361
6 morocco-n @ 14.643106
7 sahara-occ @ 16.298849
8 mozabite @ 25.312471
9 morocco-s @ 27.603598
10 EtA @ 47.446579
11 EtT @ 47.468666
12 ethiopian-jews @ 50.321934
13 EtT-P @ 54.112522
14 EtA-P @ 56.235081
15 Afar @ 57.627319
16 EtO-P @ 60.858891
17 fulani @ 64.002869
18 EtO @ 65.343895
19 Somali @ 67.225494
20 EtS-P @ 70.103195

Using 2 populations approximation:
1 50% egypt +50% egypt @ 6.603943


Using 3 populations approximation:
1 50% egypt +25% egypt +25% morocco-n @ 5.889019


Using 4 populations approximation:
++++++++++++++++++++++++
1 egypt + egypt + egypt + morocco-n @ 5.889019
2 egypt + egypt + egypt + moroccans @ 5.889388
3 algeria + egypt + egypt + egypt @ 6.156878
4 egypt + egypt + egyptans + morocco-n @ 6.161911
5 egypt + egypt + egypt + sahara-occ @ 6.216164
6 egypt + egypt + egyptans + moroccans @ 6.296246
7 egypt + egypt + libya + moroccans @ 6.439868
8 egypt + egypt + libya + morocco-n @ 6.450962
9 algeria + egypt + egypt + egyptans @ 6.525907
10 egypt + egypt + egypt + libya @ 6.547783
11 algeria + egypt + egypt + libya @ 6.582066
12 egypt + egypt + egypt + egypt @ 6.603943
13 egypt + egyptans + egyptans + morocco-n @ 6.639770
14 egypt + egypt + egyptans + sahara-occ @ 6.648798
15 egypt + egypt + libya + libya @ 6.661759
16 egypt + egyptans + libya + morocco-n @ 6.664136
17 egypt + egyptans + libya + moroccans @ 6.777677
18 egypt + egypt + libya + sahara-occ @ 6.794689
19 egypt + egyptans + egyptans + moroccans @ 6.884614
20 algeria + egypt + egyptans + libya @ 6.892830

EthioHelix K10 + Palestinian Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
Palestinian
89.37


2
Omotic
6.55


3
Biaka-Pygmy
1.65


4
Khoi-San
1.6


5
East-Africa1
0.77


6
Hadza
0.05

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
morocco-n
6.81


2
palestinian
8.65


3
algeria
9.59


4
moroccans
11.67


5
mozabite
11.91


6
libya
12.69


7
egypt
12.75


8
sahara-occ
13.64


9
egyptans
16.04


10
morocco-s
37.64


11
EtT
60.15


12
EtA
60.21


13
ethiopian-jews
63.48


14
EtT-P
64.64


15
EtA-P
67.82


16
Afar
70.94


17
EtO-P
74.21


18
fulani
76.29


19
Somali
82.24


20
EtO
83.69

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

60.1%
palestinian
+
39.9%
libya
@
2.6


2

92.7%
palestinian
+
7.3%
sandawe
@
2.68


3

92.2%
palestinian
+
7.8%
Wolayta
@
2.78


4

93.6%
palestinian
+
6.4%
ARI-C
@
2.78


5

88.6%
palestinian
+
11.4%
ethiopian-jews
@
2.87


6

90.1%
palestinian
+
9.9%
EtO-P
@
2.87


7

88%
palestinian
+
12%
EtT
@
2.87


8

88.1%
palestinian
+
11.9%
EtA
@
2.88


9

93.8%
palestinian
+
6.2%
ARI-B
@
2.96


10

66%
palestinian
+
34%
egyptans
@
2.99


11

91.2%
palestinian
+
8.8%
EtO
@
2.99


12

89.3%
palestinian
+
10.7%
EtA-P
@
3.04


13

89.7%
palestinian
+
10.3%
Afar
@
3.05


14

91.3%
palestinian
+
8.7%
EtS-P
@
3.08


15

91.1%
palestinian
+
8.9%
Somali
@
3.13


16

88.9%
palestinian
+
11.1%
EtT-P
@
3.16


17

60.7%
palestinian
+
39.3%
egypt
@
3.38


18

92.7%
palestinian
+
7.3%
maasai
@
4.06


19

92.8%
palestinian
+
7.2%
hema
@
4.19


20

53.3%
palestinian
+
46.7%
algeria
@
4.37

</tbody>
​EthioHelix K10 + Palestinian 4-Ancestors Oracle

EthioHelix K10 + Palestinian

Admix Results (sorted):


<tbody>
#
Population
Percent


1
Palestinian
89.37


2
Omotic
6.55


3
Biaka-Pygmy
1.65


4
Khoi-San
1.60

</tbody>


Finished reading population data. 59 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 morocco-n @ 6.888328
2 palestinian @ 7.967266
3 algeria @ 9.732377
4 moroccans @ 11.878528
5 libya @ 11.901686
6 egypt @ 12.408681
7 mozabite @ 12.451018
8 sahara-occ @ 13.627141
9 egyptans @ 15.381239
10 morocco-s @ 37.350616
11 EtT @ 56.256199
12 EtA @ 56.292362
13 ethiopian-jews @ 59.258648
14 EtT-P @ 61.112518
15 EtA-P @ 63.946697
16 Afar @ 66.820557
17 EtO-P @ 69.523178
18 fulani @ 75.344711
19 Somali @ 77.316864
20 EtO @ 77.662796

Using 2 populations approximation:
1 50% libya +50% palestinian @ 3.341533


Using 3 populations approximation:
1 50% libya +25% palestinian +25% palestinian @ 3.341533


Using 4 populations approximation:
+++++++++++++++++++++++
1 egyptans + morocco-n + palestinian + palestinian @ 2.385677
2 egypt + morocco-n + palestinian + palestinian @ 2.611762
3 algeria + egypt + palestinian + palestinian @ 2.891736
4 egypt + moroccans + palestinian + palestinian @ 2.927005
5 algeria + egyptans + palestinian + palestinian @ 2.940670
6 egyptans + moroccans + palestinian + palestinian @ 2.997961
7 libya + morocco-n + palestinian + palestinian @ 3.003895
8 egypt + palestinian + palestinian + sahara-occ @ 3.164266
9 egyptans + mozabite + palestinian + palestinian @ 3.172513
10 egypt + mozabite + palestinian + palestinian @ 3.319885
11 libya + libya + palestinian + palestinian @ 3.341533
12 algeria + libya + palestinian + palestinian @ 3.355852
13 egypt + libya + palestinian + palestinian @ 3.417918
14 egyptans + palestinian + palestinian + palestinian @ 3.432015
15 egyptans + palestinian + palestinian + sahara-occ @ 3.446416
16 egypt + morocco-n + morocco-n + palestinian @ 3.516762
17 libya + moroccans + palestinian + palestinian @ 3.696555
18 egyptans + libya + palestinian + palestinian @ 3.794085
19 libya + palestinian + palestinian + palestinian @ 3.795146
20 egyptans + morocco-n + morocco-n + palestinian @ 3.922031

EthioHelix K10 Africa Only Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
North-Africa
63.92


2
East-Africa2
35.78


3
Biaka-Pygmy
0.29


4
East_Africa1
0.01

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
algeria
8.46


2
libya
8.66


3
moroccans
12.07


4
morocco-n
13.2


5
sahara-occ
16.48


6
egypt
21.34


7
egyptans
23.16


8
morocco-s
30.58


9
mozabite
47.37


10
EtA
54.8


11
EtT
55.69


12
ethiopian-jews
58.34


13
EtT-P
60.47


14
fulani
60.76


15
EtA-P
62.12


16
EtO-P
64.83


17
Afar
66.96


18
EtO
70.69


19
EtS-P
75.73


20
Wolayta
75.75

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

71.8%
algeria
+
28.2%
egypt
@
1.3


2

61.9%
morocco-n
+
38.1%
egypt
@
1.45


3

73.5%
algeria
+
26.5%
egyptans
@
1.48


4

50.6%
algeria
+
49.4%
libya
@
1.55


5

63.8%
morocco-n
+
36.2%
egyptans
@
1.81


6

60.8%
libya
+
39.2%
morocco-n
@
2


7

69.1%
egypt
+
30.9%
mozabite
@
2.41


8

85.1%
libya
+
14.9%
mozabite
@
2.45


9

67.3%
egyptans
+
32.7%
mozabite
@
3.01


10

66.8%
libya
+
33.2%
sahara-occ
@
3.2


11

59.2%
libya
+
40.8%
moroccans
@
3.24


12

64.6%
moroccans
+
35.4%
egypt
@
3.6


13

56.7%
sahara-occ
+
43.3%
egypt
@
3.81


14

66.7%
moroccans
+
33.3%
egyptans
@
3.97


15

89.2%
algeria
+
10.8%
EtT-P
@
4.28


16

58.9%
sahara-occ
+
41.1%
egyptans
@
4.3


17

90.5%
algeria
+
9.5%
Afar
@
4.68


18

89.9%
algeria
+
10.1%
EtA-P
@
4.8


19

89%
algeria
+
11%
EtT
@
4.99


20

89.5%
algeria
+
10.5%
ethiopian-jews
@
5.03

</tbody>
EthioHelix K10 Africa Only 4-Ancestors Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
North-Africa
63.92


2
East-Africa2
35.78

</tbody>


Finished reading population data. 58 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 algeria @ 8.185528
2 libya @ 8.311040
3 moroccans @ 11.735170
4 morocco-n @ 12.707182
5 sahara-occ @ 16.037239
6 egypt @ 20.505522
7 egyptans @ 22.244207
8 morocco-s @ 31.588654
9 mozabite @ 45.655628
10 EtA @ 53.280991
11 EtT @ 54.116859
12 ethiopian-jews @ 56.639912
13 EtT-P @ 58.595165
14 EtA-P @ 60.267960
15 EtO-P @ 63.228699
16 fulani @ 64.199883
17 Afar @ 65.110695
18 EtO @ 69.446846
19 EtS-P @ 74.142464
20 Wolayta @ 74.510460

Using 2 populations approximation:
1 50% algeria +50% libya @ 1.551054


Using 3 populations approximation:
1 50% algeria +25% libya +25% libya @ 1.551054


Using 4 populations approximation:
++++++++++++++++++++
1 algeria + algeria + libya + libya @ 1.551054
2 algeria + algeria + algeria + egyptans @ 1.607384
3 algeria + algeria + algeria + egypt @ 1.670053
4 egypt + libya + morocco-n + morocco-n @ 1.774177
5 algeria + libya + libya + morocco-n @ 1.987920
6 algeria + algeria + egyptans + morocco-n @ 2.100384
7 egyptans + libya + morocco-n + morocco-n @ 2.193491
8 algeria + algeria + egypt + morocco-n @ 2.351899
9 algeria + egypt + libya + morocco-n @ 2.373484
10 egypt + egypt + libya + mozabite @ 2.442887
11 egypt + libya + morocco-n + sahara-occ @ 2.445228
12 algeria + libya + libya + moroccans @ 2.551285
13 algeria + algeria + egyptans + moroccans @ 2.600399
14 egypt + libya + moroccans + morocco-n @ 2.626700
15 algeria + algeria + egypt + moroccans @ 2.656840
16 egyptans + libya + morocco-n + sahara-occ @ 2.753891
17 egypt + egyptans + libya + mozabite @ 2.793604
18 algeria + egypt + libya + sahara-occ @ 2.816532
19 algeria + egyptans + libya + morocco-n @ 2.850482
20 libya + libya + morocco-n + morocco-n @ 2.965848

puntDNAL K8 African only Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
Western_Semitic
89.63


2
Omotic
6.14


3
E_Benue_Congo
1.8


4
Southern_HG
1.12


5
W_Benue_Congo
1.03


6
Nilo_Saharan
0.29

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Egyptian
4.31


2
N_Moroccan
7.96


3
Tunisian
8.78


4
Libyan
11.51


5
Algerian
13.1


6
Mozabite
13.27


7
S_Moroccan
24.58


8
Ethiopian_Tygray
46.24


9
Ethiopian_Afar
50.29


10
Ethiopian_Amhara
50.5


11
Ethiopian_Oromo
56.81


12
Somali
57.96


13
Nigeria_Fulani
70.74


14
Ethiopian_Wolayta
71.63


15
Kenyan_Maasai
82.66


16
Tanzania_Sandawe
86.31


17
DRC_Hema
90.6


18
Ethiopian_AriCultivator
96.23


19
Chad_Bulala
102.3


20
Kenyan_Bantu
103.23

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

100%
Egyptian
+
0%
SA_Kung
@
4.31


2

100%
Egyptian
+
0%
Ethiopian_Afar
@
4.31


3

100%
Egyptian
+
0%
Algerian
@
4.31


4

100%
Egyptian
+
0%
Alur
@
4.31


5

100%
Egyptian
+
0%
Souh_Sudan_Anuak
@
4.31


6

100%
Egyptian
+
0%
Ethiopian_AriBlacksmith
@
4.31


7

100%
Egyptian
+
0%
Ethiopian_AriCultivator
@
4.31


8

100%
Egyptian
+
0%
Mali_Bambaran
@
4.31


9

100%
Egyptian
+
0%
Cameroon_Bamoun
@
4.31


10

100%
Egyptian
+
0%
Ghana_Brong
@
4.31


11

100%
Egyptian
+
0%
Chad_Bulala
@
4.31


12

100%
Egyptian
+
0%
Mali_Dogon
@
4.31


13

100%
Egyptian
+
0%
Ethiopian_Amhara
@
4.31


14

100%
Egyptian
+
0%
Ethiopian_Gumuz
@
4.31


15

100%
Egyptian
+
0%
Ethiopian_Oromo
@
4.31


16

100%
Egyptian
+
0%
Ethiopian_Tygray
@
4.31


17

100%
Egyptian
+
0%
Ethiopian_Wolayta
@
4.31


18

100%
Egyptian
+
0%
Cameroon_Fang
@
4.31


19

100%
Egyptian
+
0%
Nigeria_Fulani
@
4.31


20

100%
Egyptian
+
0%
Tanzania_Hadza
@
4.31

</tbody>
puntDNAL K8 African only 4-Ancestors Oracle

puntDNAL K8b Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
Western_Semitic
89.63


2
Omotic
6.14


3
E_Benue_Congo
1.80


4
Southern_HG
1.12


5
W_Benue_Congo
1.03

</tbody>


Finished reading population data. 48 populations found.
8 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Egyptian @ 4.162550
2 N_Moroccan @ 7.726441
3 Tunisian @ 8.579495
4 Libyan @ 11.080531
5 Algerian @ 12.648068
6 Mozabite @ 12.976057
7 S_Moroccan @ 25.167603
8 Ethiopian_Tygray @ 44.663219
9 Ethiopian_Amhara @ 48.878307
10 Ethiopian_Afar @ 48.898129
11 Ethiopian_Oromo @ 55.076260
12 Somali @ 56.790161
13 Ethiopian_Wolayta @ 68.042877
14 Nigeria_Fulani @ 70.356873
15 Kenyan_Maasai @ 81.899704
16 Tanzania_Sandawe @ 82.985245
17 DRC_Hema @ 88.604904
18 Ethiopian_AriCultivator @ 90.278328
19 Chad_Bulala @ 100.080063
20 Kenyan_Bantu @ 100.367744

Using 2 populations approximation:
1 50% Egyptian +50% Egyptian @ 4.162550


Using 3 populations approximation:
1 50% Egyptian +25% Egyptian +25% Egyptian @ 4.162550


Using 4 populations approximation:
++++++++++++++
1 Egyptian + Egyptian + Egyptian + Egyptian @ 4.162550
2 Egyptian + Egyptian + Egyptian + N_Moroccan @ 4.861819
3 Egyptian + Egyptian + Egyptian + Tunisian @ 4.883037
4 Egyptian + Egyptian + Egyptian + Libyan @ 5.624647
5 Egyptian + Egyptian + N_Moroccan + N_Moroccan @ 5.725599
6 Algerian + Egyptian + Egyptian + Egyptian @ 5.806611
7 Egyptian + Egyptian + N_Moroccan + Tunisian @ 5.811239
8 Egyptian + Egyptian + Tunisian + Tunisian @ 5.947222
9 Egyptian + Egyptian + Egyptian + Mozabite @ 5.977995
10 Egyptian + Egyptian + Libyan + N_Moroccan @ 6.514453
11 Egyptian + Egyptian + Libyan + Tunisian @ 6.607727
12 Egyptian + N_Moroccan + N_Moroccan + N_Moroccan @ 6.693481
13 Algerian + Egyptian + Egyptian + N_Moroccan @ 6.772143
14 Egyptian + N_Moroccan + N_Moroccan + Tunisian @ 6.824364
15 Algerian + Egyptian + Egyptian + Tunisian @ 6.875797
16 Egyptian + Egyptian + Mozabite + N_Moroccan @ 6.909713
17 Egyptian + N_Moroccan + Tunisian + Tunisian @ 6.996581
18 Egyptian + Egyptian + Mozabite + Tunisian @ 7.032844
19 Egyptian + Tunisian + Tunisian + Tunisian @ 7.207258
20 Egyptian + Egyptian + Libyan + Libyan @ 7.345383

[Nordarya]

Here is a little secret not many people know : MDLP is optimized for Lithuanians and perhaps other Baltic people.Maybe Eurogenes is set with a Polish standard. Which Gedmatch isn't biased?


LivingDNA is the only honest calculator for Brits certain continental ancestry shows up as SouthEast English this not wrong , per se, because Southeast people are the most influenced by the continent.

For example, my 25% kraut , from Alsace-Lorraine is Danube Swabian and Frankish. The Franks did invad England because people like Hugh Grant are a mix of Iron-age celt and Frankish. My Danube Swabian is related to the Swaefas Germanic tribe that founded Swaffham England. Also, LivingDNA tells me I am 100% European unlike these politically correct calculators telling me I am part nigger, Eskimo, Papuan etc.. etc..Ancestry DNA gave me British Isles and Norway. Living DNA had me British Isles @ 92.2%, Aegean @ 7.6% and Pashtun @ 1.2%.

[JamesBond007]

Maybe Eurogenes is set with a Polish standard. Which Gedmatch isn't biased?

Definitely, for instance K15 has a Baltic category that could be inflated for certain Western Demographics and Dodecad (sp ?) is greco-roman biased.


Ancestry DNA gave me British Isles and Norway. Living DNA had me British Isles @ 92.2%, Aegean @ 7.6% and Pashtun @ 1.2%.

AncestryDNA says I am mostly Irish and Scottish with English and small amounts of German and Scandinavian and tells me I am 1% nigger which is all bullshit because they do not differentiate between the Irish and Scots and the Scandinavian is from the Scottish etc...

LivingDNA says I am Irish, Scottish, English and NorthCumbrian which sounds way more reasonable. Not only does my small amount of continental ancestry shows up as English but I actually have an ancestor from London .

[Nordarya]

AncestryDNA says I am mostly Irish and Scottish with English and small amounts of German and Scandinavian and tells me I am 1% nigger which is all bullshit because they do not differentiate between the Irish and Scots and the Scandinavian is from the Scottish etc...

LivingDNA says I am Irish, Scottish, English and NorthCumbrian which sounds way more reasonable. Not only does my small amount of continental ancestry shows up as English but I actually have an ancestor from London .Living DNA has been forced to cut down on their African percentages, which I believe were inflated by cross-pollination with European ancestry in African-Americans, so they were reading African ancestry in Europeans, when it's actually Africans with European ancestry shifting the calculator off-kilter.

It may be possible that I've been poking far too much fun at Albanians, but while Gedrosia K3 also makes me 0.00 distance from French, Gedrosia K12 makes my top two Norwegian and Greek. Ancient Eurasia K6 makes Hungarian and French my top hits. So yeah, I'd say Living DNA has got me right with Aegean, probably connecting Albanian-Hungarian-Greek, which is all loosely Balkan-oriented, with French and Norwegian making the majority of my DNA.

Gedrosia K3 4-Ancestors Oracle

Eurasia K3 Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
W_Eurasian
97.53


2
E_Eurasian
2.06

</tbody>


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 French @ 0.000000
2 Albanian @ 0.296999
3 Croatian @ 0.617447
4 Czech @ 0.720982
5 Greek @ 0.845519
6 English @ 0.870279
7 Norwegian @ 1.070001
8 French_South @ 1.526260
9 Bulgarian @ 1.535918
10 Bergamo @ 1.805136
11 Hungarian @ 1.934600
12 Spanish @ 2.017633
13 Lithuanian @ 2.080873
14 Sardinian @ 2.536421
15 LBK_EN @ 2.558893
16 Georgian @ 2.632359
17 Ukrainian @ 2.881934
18 Stuttgart @ 3.242123
19 Armenian @ 3.257833
20 Sicilian @ 3.519022

Using 2 populations approximation:
1 50% Albanian +50% Croatian @ 0.000000
2 50% Albanian +50% Czech @ 0.000000
3 50% Albanian +50% French @ 0.000000
4 50% Bergamo +50% Bulgarian @ 0.000000
5 50% Bergamo +50% Hungarian @ 0.000000
6 50% Bergamo +50% Lithuanian @ 0.000000
7 50% Bulgarian +50% English @ 0.000000
8 50% Bulgarian +50% French_South @ 0.000000
9 50% Croatian +50% French @ 0.000000
10 50% Croatian +50% Greek @ 0.000000
11 50% Czech +50% French @ 0.000000
12 50% Czech +50% Greek @ 0.000000
13 50% French +50% French @ 0.000000
14 50% French_South +50% Hungarian @ 0.000000
15 50% French_South +50% Lithuanian @ 0.000000
16 50% French_South +50% Norwegian @ 0.000000
17 50% LBK_EN +50% Lithuanian @ 0.000000
18 50% Lithuanian +50% Sardinian @ 0.000000
19 50% LBK_EN +50% Ukrainian @ 0.256065
20 50% Hungarian +50% LBK_EN @ 0.279932


Using 3 populations approximation:
1 50% Albanian +25% Albanian +25% Croatian @ 0.000000

Gedrosia K12 Oracle results:Admix Results (sorted):


<tbody>
#
Population
Percent


1
EARLY_EUROPEAN_FARMERS
37.9


2
SINTASHTA_STEPPE_HERDERS
36.49


3
CAUCASUS
12.87


4
SW_ASIAN
6.49


5
BALOCHI
3.99


6
INDO_TIBETAN
1.08


7
SUB_SAHARAN
0.79


8
E_SIBERIAN
0.42

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Norwegian
16.82


2
Greek
20.69


3
Sicilian
26.73


4
Russian
28.15


5
Finnish
32


6
Estonian
33.62


7
Turks_Istanbul
34.36


8
Lithuanian
34.95


9
Turks_Aydin
38.3


10
Turks_Balikesir
38.61


11
Kurds_C
42.77


12
Kurds_N
43


13
Tajik_Pomiri
43.42


14
Turkmen_Afghan
43.61


15
Turks_Adana
43.62


16
Turks_Kayseri
44.43


17
Iraqi_Chaldeans
44.68


18
Uzbek
44.75


19
Iraqi_Arab_Baghdad
44.87


20
Kurds_F
45.09

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

61.6%
Norwegian
+
38.4%
Sicilian
@
2.63


2

55.4%
Norwegian
+
44.6%
Greek
@
3.64


3

56%
Sicilian
+
44%
Estonian
@
6.17


4

57%
Sicilian
+
43%
Lithuanian
@
6.32


5

62.6%
Greek
+
37.4%
Estonian
@
6.33


6

74.6%
Norwegian
+
25.4%
Iraqi_Jew
@
6.4


7

63.6%
Greek
+
36.4%
Lithuanian
@
6.56


8

73.7%
Norwegian
+
26.3%
Turks_Adana
@
6.85


9

68.7%
Norwegian
+
31.3%
Turks_Istanbul
@
6.95


10

75.4%
Norwegian
+
24.6%
Iraqi_Mandaeans
@
6.96


11

74.3%
Norwegian
+
25.7%
Iraqi_Chaldeans
@
6.98


12

74.2%
Norwegian
+
25.8%
Turks_Kayseri
@
7


13

76.4%
Norwegian
+
23.6%
Assyrian
@
7.09


14

76%
Norwegian
+
24%
Armenian
@
7.12


15

61.7%
Greek
+
38.3%
Finnish
@
7.3


16

54.8%
Sicilian
+
45.2%
Finnish
@
7.36


17

74.6%
Norwegian
+
25.4%
Iraqi_Arab_Baghdad
@
7.55


18

76.7%
Norwegian
+
23.3%
Jordanian
@
7.55


19

71.5%
Norwegian
+
28.5%
Turks_Aydin
@
7.68


20

77.2%
Norwegian
+
22.8%
Syrian
@
7.94


</tbody>
Gedrosia K12 4-Ancestors OracleGedrosia K12 Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
EARLY_EUROPEAN_FARMERS
37.89


2
SINTASHTA_STEPPE_HERDERS
36.49


3
CAUCASUS
12.87


4
SW_ASIAN
6.48


5
BALOCHI
3.99


6
INDO_TIBETAN
1.08

</tbody>


Finished reading population data. 87 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Norwegian @ 17.976423
2 Greek @ 22.409592
3 Sicilian @ 28.741140
4 Russian @ 29.901581
5 Finnish @ 34.044144
6 Estonian @ 35.914646
7 Turks_Istanbul @ 37.147942
8 Lithuanian @ 37.301311
9 Turks_Aydin @ 41.102245
10 Turks_Balikesir @ 41.621426
11 Turkmen_Afghan @ 45.635784
12 Uzbek @ 46.241570
13 Kurds_C @ 46.410824
14 Kurds_N @ 46.641003
15 Turks_Adana @ 47.053009
16 Tajik_Pomiri @ 47.541668
17 Turks_Kayseri @ 48.013206
18 Iraqi_Chaldeans @ 48.315075
19 Iraqi_Arab_Baghdad @ 48.488258
20 Kurds_F @ 48.840389

Using 2 populations approximation:
1 50% Greek +50% Norwegian @ 4.556041


Using 3 populations approximation:
1 50% Lithuanian +25% Stuttgart +25% Turks_Kayseri @ 3.202945


Using 4 populations approximation:
++++++++++++++++++++++++++++++++
1 Armenian + BA_Sintashta + Norwegian + Sardinian @ 2.871755
2 Armenian + Corded_Ware_LN + Norwegian + Sardinian @ 2.871755
3 Lithuanian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.202945
4 Assyrian + BA_Sintashta + Norwegian + Sardinian @ 3.214975
5 Assyrian + Corded_Ware_LN + Norwegian + Sardinian @ 3.214975
6 Lithuanian + Russian + Stuttgart + Turks_Istanbul @ 3.271981
7 Estonian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.378764
8 Kurds_N + Lithuanian + Lithuanian + Stuttgart @ 3.539606
9 Armenian + Lithuanian + Lithuanian + Stuttgart @ 3.546402
10 Estonian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.586907
11 Estonian + Russian + Stuttgart + Turks_Istanbul @ 3.598495
12 Lithuanian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.598810
13 Estonian + Kurds_N + Lithuanian + Stuttgart @ 3.612337
14 Estonian + Estonian + Stuttgart + Turks_Kayseri @ 3.613381
15 Estonian + Estonian + Stuttgart + Turks_Istanbul @ 3.641927
16 Armenian + Estonian + Lithuanian + Stuttgart @ 3.683021
17 Finnish + Lithuanian + Stuttgart + Turks_Istanbul @ 3.730208
18 Estonian + Estonian + Kurds_N + Stuttgart @ 3.752987
19 Lithuanian + Lithuanian + Stuttgart + Turks_Adana @ 3.774547
20 BA_Sintashta + Norwegian + Sardinian + Turks_Kayseri @ 3.855678

Ancient Eurasia K6 Oracle results:Admix Results (sorted):


<tbody>
#
Population
Percent


1
West_European_Hunter_Gartherer
43.43


2
Natufian
37.38


3
Ancestral_North_Eurasian
18.46


4
Ancestral_South_Eurasian
0.55


5
Sub_Saharan
0.19

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Hungarian
1.81


2
French
2.33


3
English
2.8


4
Czech
2.9


5
Croatian
3.05


6
Scottish
4.05


7
Ukrainian
4.58


8
Norwegian
4.85


9
Icelandic
6.53


10
Romanian
7.05


11
Spanish
7.09


12
Europe_LNBA
7.64


13
Bulgarian
8.89


14
Basque
9.6


15
Estonian
10.17


16
Lithuanian
10.73


17
Russian
12.77


18
Finnish
13.43


19
Steppe_MLBA
13.54


20
Albanian
13.58

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

97.1%
French
+
2.9%
EHG
@
0.35


2

97.8%
French
+
2.2%
AG2
@
0.41


3

97.8%
French
+
2.2%
AG3
@
0.41


4

97.8%
French
+
2.2%
MA1
@
0.41


5

92.9%
French
+
7.1%
Steppe_EMBA
@
0.49


6

84.6%
English
+
15.4%
Greek
@
0.51


7

91.7%
English
+
8.3%
Cypriot
@
0.52


8

87.7%
English
+
12.3%
Italian_South
@
0.53


9

92.5%
English
+
7.5%
Druze
@
0.56


10

52.3%
English
+
47.7%
Croatian
@
0.62


11

83.3%
English
+
16.7%
Albanian
@
0.64


12

87%
English
+
13%
Sicilian
@
0.64


13

93.4%
English
+
6.6%
Jew_Iranian
@
0.68


14

91.3%
Europe_LNBA
+
8.7%
Levant_N
@
0.68


15

91.3%
Europe_LNBA
+
8.7%
Natufian
@
0.68


16

76.6%
English
+
23.4%
Bulgarian
@
0.69


17

67.6%
Icelandic
+
32.4%
Albanian
@
0.7


18

93.4%
English
+
6.6%
Jew_iraqi
@
0.7


19

93.6%
English
+
6.4%
Levant_BA
@
0.71


20

68.6%
Croatian
+
31.4%
Icelandic
@
0.72


</tbody>

Ancient Eurasia K6 4-Ancestors Oraclegedrosia K6 Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
West_European_Hunter_Gartherer
43.43


2
Natufian
37.38


3
Ancestral_North_Eurasian
18.46

</tbody>


Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 1.862990
2 French @ 2.299802
3 English @ 2.798044
4 Czech @ 2.869628
5 Croatian @ 3.080137
6 Scottish @ 4.008484
7 Ukrainian @ 4.512488
8 Norwegian @ 4.773424
9 Icelandic @ 6.500184
10 Spanish @ 6.935360
11 Romanian @ 7.104067
12 Europe_LNBA @ 7.545347
13 Bulgarian @ 8.975857
14 Basque @ 9.558382
15 Estonian @ 10.051054
16 Lithuanian @ 10.666956
17 Russian @ 12.751076
18 Steppe_MLBA @ 13.234116
19 Finnish @ 13.356215
20 Albanian @ 13.582247

Using 2 populations approximation:
1 50% Croatian +50% English @ 0.614564


Using 3 populations approximation:
1 50% Croatian +25% English +25% English @ 0.614564


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++
1 Albanian + Europe_LNBA + French + Icelandic @ 0.474825
2 Albanian + French + Icelandic + Icelandic @ 0.597442
3 Albanian + English + English + Icelandic @ 0.598931
4 Croatian + Croatian + English + English @ 0.614564
5 Albanian + English + English + Europe_LNBA @ 0.630615
6 Albanian + English + Icelandic + Scottish @ 0.633699
7 Georgian + Greek + Hungarian_KO1 + Italian_South @ 0.677390
8 Georgian + Greek + Italian_South + WHG @ 0.677390
9 English + Greek + Icelandic + Icelandic @ 0.694817
10 Albanian + English + Icelandic + Norwegian @ 0.709343
11 Albanian + Europe_LNBA + Europe_LNBA + French @ 0.715769
12 Bulgarian + English + English + English @ 0.719751
13 Croatian + Croatian + Czech + English @ 0.721756
14 Croatian + Croatian + Europe_LNBA + French @ 0.726560
15 Croatian + Croatian + French + Icelandic @ 0.730708
16 Bulgarian + English + French + Icelandic @ 0.739828
17 Europe_LNBA + French + Greek + Icelandic @ 0.742598
18 English + French + Norwegian + Romanian @ 0.748657
19 French + Greek + Icelandic + Icelandic @ 0.751306
20 Albanian + English + Icelandic + Icelandic @ 0.771199

[JamesBond007]

Maybe Eurogenes is set with a Polish standard. Which Gedmatch isn't biased?

Ancestry DNA gave me British Isles and Norway. Living DNA had me British Isles @ 92.2%, Aegean @ 7.6% and Pashtun @ 1.2%.

Ancestrydna seems to love telling people they are Irish and scandinavian.

BTW, I edited my above post before this one it was a clusterfuck.

[JamesBond007]

Living DNA has been forced to cut down on their African percentages, which I believe were inflated by cross-pollination with European ancestry in African-Americans, so they were reading African ancestry in Europeans, when it's actually Africans with European ancestry shifting the calculator off-kilter.

It may be possible that I've been poking far too much fun at Albanians, but while Gedrosia K3 also makes me 0.00 distance from French, Gedrosia K12 makes my top two Norwegian and Greek. Ancient Eurasia K6 makes Hungarian and French my top hits. So yeah, I'd say Living DNA has got me right with Aegean, probably connecting Albanian-Hungarian-Greek, which is all loosely Balkan-oriented, with French and Norwegian making the majority of my DNA.

Gedrosia K3 4-Ancestors Oracle

Eurasia K3 Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
W_Eurasian
97.53


2
E_Eurasian
2.06

</tbody>


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 French @ 0.000000
2 Albanian @ 0.296999
3 Croatian @ 0.617447
4 Czech @ 0.720982
5 Greek @ 0.845519
6 English @ 0.870279
7 Norwegian @ 1.070001
8 French_South @ 1.526260
9 Bulgarian @ 1.535918
10 Bergamo @ 1.805136
11 Hungarian @ 1.934600
12 Spanish @ 2.017633
13 Lithuanian @ 2.080873
14 Sardinian @ 2.536421
15 LBK_EN @ 2.558893
16 Georgian @ 2.632359
17 Ukrainian @ 2.881934
18 Stuttgart @ 3.242123
19 Armenian @ 3.257833
20 Sicilian @ 3.519022

Using 2 populations approximation:
1 50% Albanian +50% Croatian @ 0.000000
2 50% Albanian +50% Czech @ 0.000000
3 50% Albanian +50% French @ 0.000000
4 50% Bergamo +50% Bulgarian @ 0.000000
5 50% Bergamo +50% Hungarian @ 0.000000
6 50% Bergamo +50% Lithuanian @ 0.000000
7 50% Bulgarian +50% English @ 0.000000
8 50% Bulgarian +50% French_South @ 0.000000
9 50% Croatian +50% French @ 0.000000
10 50% Croatian +50% Greek @ 0.000000
11 50% Czech +50% French @ 0.000000
12 50% Czech +50% Greek @ 0.000000
13 50% French +50% French @ 0.000000
14 50% French_South +50% Hungarian @ 0.000000
15 50% French_South +50% Lithuanian @ 0.000000
16 50% French_South +50% Norwegian @ 0.000000
17 50% LBK_EN +50% Lithuanian @ 0.000000
18 50% Lithuanian +50% Sardinian @ 0.000000
19 50% LBK_EN +50% Ukrainian @ 0.256065
20 50% Hungarian +50% LBK_EN @ 0.279932


Using 3 populations approximation:
1 50% Albanian +25% Albanian +25% Croatian @ 0.000000

Gedrosia K12 Oracle results:Admix Results (sorted):


<tbody>
#
Population
Percent


1
EARLY_EUROPEAN_FARMERS
37.9


2
SINTASHTA_STEPPE_HERDERS
36.49


3
CAUCASUS
12.87


4
SW_ASIAN
6.49


5
BALOCHI
3.99


6
INDO_TIBETAN
1.08


7
SUB_SAHARAN
0.79


8
E_SIBERIAN
0.42

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Norwegian
16.82


2
Greek
20.69


3
Sicilian
26.73


4
Russian
28.15


5
Finnish
32


6
Estonian
33.62


7
Turks_Istanbul
34.36


8
Lithuanian
34.95


9
Turks_Aydin
38.3


10
Turks_Balikesir
38.61


11
Kurds_C
42.77


12
Kurds_N
43


13
Tajik_Pomiri
43.42


14
Turkmen_Afghan
43.61


15
Turks_Adana
43.62


16
Turks_Kayseri
44.43


17
Iraqi_Chaldeans
44.68


18
Uzbek
44.75


19
Iraqi_Arab_Baghdad
44.87


20
Kurds_F
45.09

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

61.6%
Norwegian
+
38.4%
Sicilian
@
2.63


2

55.4%
Norwegian
+
44.6%
Greek
@
3.64


3

56%
Sicilian
+
44%
Estonian
@
6.17


4

57%
Sicilian
+
43%
Lithuanian
@
6.32


5

62.6%
Greek
+
37.4%
Estonian
@
6.33


6

74.6%
Norwegian
+
25.4%
Iraqi_Jew
@
6.4


7

63.6%
Greek
+
36.4%
Lithuanian
@
6.56


8

73.7%
Norwegian
+
26.3%
Turks_Adana
@
6.85


9

68.7%
Norwegian
+
31.3%
Turks_Istanbul
@
6.95


10

75.4%
Norwegian
+
24.6%
Iraqi_Mandaeans
@
6.96


11

74.3%
Norwegian
+
25.7%
Iraqi_Chaldeans
@
6.98


12

74.2%
Norwegian
+
25.8%
Turks_Kayseri
@
7


13

76.4%
Norwegian
+
23.6%
Assyrian
@
7.09


14

76%
Norwegian
+
24%
Armenian
@
7.12


15

61.7%
Greek
+
38.3%
Finnish
@
7.3


16

54.8%
Sicilian
+
45.2%
Finnish
@
7.36


17

74.6%
Norwegian
+
25.4%
Iraqi_Arab_Baghdad
@
7.55


18

76.7%
Norwegian
+
23.3%
Jordanian
@
7.55


19

71.5%
Norwegian
+
28.5%
Turks_Aydin
@
7.68


20

77.2%
Norwegian
+
22.8%
Syrian
@
7.94


</tbody>
Gedrosia K12 4-Ancestors OracleGedrosia K12 Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
EARLY_EUROPEAN_FARMERS
37.89


2
SINTASHTA_STEPPE_HERDERS
36.49


3
CAUCASUS
12.87


4
SW_ASIAN
6.48


5
BALOCHI
3.99


6
INDO_TIBETAN
1.08

</tbody>


Finished reading population data. 87 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Norwegian @ 17.976423
2 Greek @ 22.409592
3 Sicilian @ 28.741140
4 Russian @ 29.901581
5 Finnish @ 34.044144
6 Estonian @ 35.914646
7 Turks_Istanbul @ 37.147942
8 Lithuanian @ 37.301311
9 Turks_Aydin @ 41.102245
10 Turks_Balikesir @ 41.621426
11 Turkmen_Afghan @ 45.635784
12 Uzbek @ 46.241570
13 Kurds_C @ 46.410824
14 Kurds_N @ 46.641003
15 Turks_Adana @ 47.053009
16 Tajik_Pomiri @ 47.541668
17 Turks_Kayseri @ 48.013206
18 Iraqi_Chaldeans @ 48.315075
19 Iraqi_Arab_Baghdad @ 48.488258
20 Kurds_F @ 48.840389

Using 2 populations approximation:
1 50% Greek +50% Norwegian @ 4.556041


Using 3 populations approximation:
1 50% Lithuanian +25% Stuttgart +25% Turks_Kayseri @ 3.202945


Using 4 populations approximation:
++++++++++++++++++++++++++++++++
1 Armenian + BA_Sintashta + Norwegian + Sardinian @ 2.871755
2 Armenian + Corded_Ware_LN + Norwegian + Sardinian @ 2.871755
3 Lithuanian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.202945
4 Assyrian + BA_Sintashta + Norwegian + Sardinian @ 3.214975
5 Assyrian + Corded_Ware_LN + Norwegian + Sardinian @ 3.214975
6 Lithuanian + Russian + Stuttgart + Turks_Istanbul @ 3.271981
7 Estonian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.378764
8 Kurds_N + Lithuanian + Lithuanian + Stuttgart @ 3.539606
9 Armenian + Lithuanian + Lithuanian + Stuttgart @ 3.546402
10 Estonian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.586907
11 Estonian + Russian + Stuttgart + Turks_Istanbul @ 3.598495
12 Lithuanian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.598810
13 Estonian + Kurds_N + Lithuanian + Stuttgart @ 3.612337
14 Estonian + Estonian + Stuttgart + Turks_Kayseri @ 3.613381
15 Estonian + Estonian + Stuttgart + Turks_Istanbul @ 3.641927
16 Armenian + Estonian + Lithuanian + Stuttgart @ 3.683021
17 Finnish + Lithuanian + Stuttgart + Turks_Istanbul @ 3.730208
18 Estonian + Estonian + Kurds_N + Stuttgart @ 3.752987
19 Lithuanian + Lithuanian + Stuttgart + Turks_Adana @ 3.774547
20 BA_Sintashta + Norwegian + Sardinian + Turks_Kayseri @ 3.855678

Ancient Eurasia K6 Oracle results:Admix Results (sorted):


<tbody>
#
Population
Percent


1
West_European_Hunter_Gartherer
43.43


2
Natufian
37.38


3
Ancestral_North_Eurasian
18.46


4
Ancestral_South_Eurasian
0.55


5
Sub_Saharan
0.19

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Hungarian
1.81


2
French
2.33


3
English
2.8


4
Czech
2.9


5
Croatian
3.05


6
Scottish
4.05


7
Ukrainian
4.58


8
Norwegian
4.85


9
Icelandic
6.53


10
Romanian
7.05


11
Spanish
7.09


12
Europe_LNBA
7.64


13
Bulgarian
8.89


14
Basque
9.6


15
Estonian
10.17


16
Lithuanian
10.73


17
Russian
12.77


18
Finnish
13.43


19
Steppe_MLBA
13.54


20
Albanian
13.58

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

97.1%
French
+
2.9%
EHG
@
0.35


2

97.8%
French
+
2.2%
AG2
@
0.41


3

97.8%
French
+
2.2%
AG3
@
0.41


4

97.8%
French
+
2.2%
MA1
@
0.41


5

92.9%
French
+
7.1%
Steppe_EMBA
@
0.49


6

84.6%
English
+
15.4%
Greek
@
0.51


7

91.7%
English
+
8.3%
Cypriot
@
0.52


8

87.7%
English
+
12.3%
Italian_South
@
0.53


9

92.5%
English
+
7.5%
Druze
@
0.56


10

52.3%
English
+
47.7%
Croatian
@
0.62


11

83.3%
English
+
16.7%
Albanian
@
0.64


12

87%
English
+
13%
Sicilian
@
0.64


13

93.4%
English
+
6.6%
Jew_Iranian
@
0.68


14

91.3%
Europe_LNBA
+
8.7%
Levant_N
@
0.68


15

91.3%
Europe_LNBA
+
8.7%
Natufian
@
0.68


16

76.6%
English
+
23.4%
Bulgarian
@
0.69


17

67.6%
Icelandic
+
32.4%
Albanian
@
0.7


18

93.4%
English
+
6.6%
Jew_iraqi
@
0.7


19

93.6%
English
+
6.4%
Levant_BA
@
0.71


20

68.6%
Croatian
+
31.4%
Icelandic
@
0.72


</tbody>

Ancient Eurasia K6 4-Ancestors Oraclegedrosia K6 Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
West_European_Hunter_Gartherer
43.43


2
Natufian
37.38


3
Ancestral_North_Eurasian
18.46

</tbody>


Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 1.862990
2 French @ 2.299802
3 English @ 2.798044
4 Czech @ 2.869628
5 Croatian @ 3.080137
6 Scottish @ 4.008484
7 Ukrainian @ 4.512488
8 Norwegian @ 4.773424
9 Icelandic @ 6.500184
10 Spanish @ 6.935360
11 Romanian @ 7.104067
12 Europe_LNBA @ 7.545347
13 Bulgarian @ 8.975857
14 Basque @ 9.558382
15 Estonian @ 10.051054
16 Lithuanian @ 10.666956
17 Russian @ 12.751076
18 Steppe_MLBA @ 13.234116
19 Finnish @ 13.356215
20 Albanian @ 13.582247

Using 2 populations approximation:
1 50% Croatian +50% English @ 0.614564


Using 3 populations approximation:
1 50% Croatian +25% English +25% English @ 0.614564


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++
1 Albanian + Europe_LNBA + French + Icelandic @ 0.474825
2 Albanian + French + Icelandic + Icelandic @ 0.597442
3 Albanian + English + English + Icelandic @ 0.598931
4 Croatian + Croatian + English + English @ 0.614564
5 Albanian + English + English + Europe_LNBA @ 0.630615
6 Albanian + English + Icelandic + Scottish @ 0.633699
7 Georgian + Greek + Hungarian_KO1 + Italian_South @ 0.677390
8 Georgian + Greek + Italian_South + WHG @ 0.677390
9 English + Greek + Icelandic + Icelandic @ 0.694817
10 Albanian + English + Icelandic + Norwegian @ 0.709343
11 Albanian + Europe_LNBA + Europe_LNBA + French @ 0.715769
12 Bulgarian + English + English + English @ 0.719751
13 Croatian + Croatian + Czech + English @ 0.721756
14 Croatian + Croatian + Europe_LNBA + French @ 0.726560
15 Croatian + Croatian + French + Icelandic @ 0.730708
16 Bulgarian + English + French + Icelandic @ 0.739828
17 Europe_LNBA + French + Greek + Icelandic @ 0.742598
18 English + French + Norwegian + Romanian @ 0.748657
19 French + Greek + Icelandic + Icelandic @ 0.751306
20 Albanian + English + Icelandic + Icelandic @ 0.771199

I give up on these calculators and tests. I am not a Marxist or Communist but Karl Marx was right about somethings :


It must nestle everywhere, settle everywhere, establish connections everywhere. The bourgeoisie has through its exploitation of the world-market given a cosmopolitan character to production and consumption in every country. ... And as in material, so also in intellectual production.--Karl Marx

That is the reason these tests all say something different and the calculators are all over the place. Science is now completely corrupted by politics.

[Nordarya]

Well, maybe it's from 200 years ago or so. How much African do you get on Dodecad World9?Sorry, I misread your request for Dodecad Africa9, because that's where I go for the racial admix, along with every EthioHelix app and puntDNAL Africa only. To isolate African ancestry, you have to use the right apps, all the same with the Asian ancestry by theirs. In any case, when apps tabulate African, it's a compilation of different populations in Africa, not a population in and of itself. With Eurasian populations, they're all sifted through with a fine-toothed comb and you can't see the forest for the trees. However, to understand the type of African DNA, you can't just group them all together, because not all of Africa is the same and there are different relationships with the outside world between its populations. My African is more consistent with Mediterranean Europe than Atlantic Europe, so mine is pre-1430s Portuguese contact not dissimilar from Albania and Kosovo and Living DNA proves that. Here though, it says I'm Mixed_Germanic & Puerto Rican, LOL.

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

92.4%
Mixed_Germanic (Dodecad)
+
7.6%
PUR30
@
0.44

</tbody>



World9 Oracle results:

Admix Results (sorted):


<tbody>
#
Population
Percent


1
Atlantic_Baltic
71.55


2
Southern
14.01


3
Caucasus_Gedrosia
11.4


4
Amerindian
1.15


5
African
1.09


6
South_Asian
0.53


7
Australasian
0.26

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Mixed_Germanic (Dodecad)
2.79


2
Dutch (Dodecad)
3.8


3
German (Dodecad)
4.18


4
CEU30 (1000Genomes)
4.4


5
Cornwall (1000 Genomes)
4.53


6
Kent (1000 Genomes)
4.71


7
Hungarians (Behar)
4.79


8
British (Dodecad)
4.86


9
French (HGDP)
5


10
British_Isles (Dodecad)
5.8


11
French (Dodecad)
5.94


12
Argyll (1000 Genomes)
6.82


13
Irish (Dodecad)
6.85


14
Orcadian (HGDP)
6.96


15
Orkney (1000 Genomes)
7.33


16
Ukranians (Yunusbayev)
8.03


17
Polish (Dodecad)
9.01


18
Belorussian (Behar)
10.88


19
Norwegian (Dodecad)
11.04


20
Swedish (Dodecad)
11.5

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

92.4%
Mixed_Germanic (Dodecad)
+
7.6%
PUR30
@
0.44


2

83.9%
Dutch (Dodecad)
+
16.1%
Brazilian (Dodecad)
@
0.51


3

82.6%
German (Dodecad)
+
17.4%
Brazilian (Dodecad)
@
0.66


4

94%
Mixed_Germanic (Dodecad)
+
6%
Puerto_Rican
@
0.69


5

87.9%
Mixed_Germanic (Dodecad)
+
12.1%
Brazilian (Dodecad)
@
0.75


6

94.3%
Cornwall (1000 Genomes)
+
5.7%
Yemenese (Behar)
@
0.88


7

94.1%
Kent (1000 Genomes)
+
5.9%
Yemenese (Behar)
@
0.93


8

91.6%
Orcadian (HGDP)
+
8.4%
Bedouin (HGDP)
@
0.94


9

94.2%
German (Dodecad)
+
5.8%
Mozabite
@
0.94


10

91.2%
Orkney (1000 Genomes)
+
8.8%
Bedouin (HGDP)
@
0.95


11

93.9%
Kent (1000 Genomes)
+
6.1%
Egyptans (Behar)
@
0.96


12

94.2%
Cornwall (1000 Genomes)
+
5.8%
Egyptans (Behar)
@
0.97


13

91.2%
Orcadian (HGDP)
+
8.8%
Egyptans (Behar)
@
1.02


14

92.6%
British_Isles (Dodecad)
+
7.4%
Egyptans (Behar)
@
1.02


15

94.3%
German (Dodecad)
+
5.7%
Moroccans (Behar)
@
1.02


16

90.8%
Orkney (1000 Genomes)
+
9.2%
Egyptans (Behar)
@
1.07


17

94%
Mixed_Germanic (Dodecad)
+
6%
CLM30
@
1.13


18

94.4%
CEU30 (1000Genomes)
+
5.6%
Egyptans (Behar)
@
1.13


19

93.8%
British (Dodecad)
+
6.2%
Egyptans (Behar)
@
1.13


20

92.8%
British_Isles (Dodecad)
+
7.2%
Yemenese (Behar)
@
1.14

</tbody>

World9 4-Ancestors Oracle

Admix Results (sorted):


<tbody>
#
Population
Percent


1
Atlantic_Baltic
71.55


2
Southern
14.01


3
Caucasus_Gedrosia
11.40


4
Amerindian
1.15


5
African
1.09

</tbody>


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 2.865317
2 Dutch_Dodecad @ 4.014021
3 German_Dodecad @ 4.457733
4 CEU30_1000Genomes @ 4.747824
5 Cornwall_1000 Genomes @ 4.914500
6 Kent_1000 Genomes @ 5.121396
7 French_HGDP @ 5.200935
8 Hungarians_Behar @ 5.220535
9 British_Dodecad @ 5.269603
10 French_Dodecad @ 6.210854
11 British_Isles_Dodecad @ 6.324824
12 Argyll_1000 Genomes @ 7.349492
13 Irish_Dodecad @ 7.438264
14 Orcadian_HGDP @ 7.562428
15 Orkney_1000 Genomes @ 7.988347
16 Ukranians_Yunusbayev @ 8.479550
17 Polish_Dodecad @ 9.627522
18 Belorussian_Behar @ 11.595999
19 Norwegian_Dodecad @ 12.006923
20 Swedish_Dodecad @ 12.444424

Using 2 populations approximation:
1 50% German_Dodecad +50% French_HGDP @ 1.777643


Using 3 populations approximation:
1 50% Irish_Dodecad +25% Murcia_1000 Genomes +25% Ukranians_Yunusbayev @ 1.252110


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++
1 German_Dodecad + Orcadian_HGDP + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.190573
2 Orcadian_HGDP + CEU30_1000Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.191312
3 Lithuanian_Dodecad + Hungarians_Behar + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.197042
4 German_Dodecad + Portuguese_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.199314
5 Polish_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.206762
6 Orcadian_HGDP + Argyll_1000 Genomes + Murcia_1000 Genomes + Ukranians_Yunusbayev @ 1.210816
7 Irish_Dodecad + German_Dodecad + Portuguese_Dodecad + Ukranians_Yunusbayev @ 1.214865
8 Irish_Dodecad + Argyll_1000 Genomes + Murcia_1000 Genomes + Ukranians_Yunusbayev @ 1.219863
9 CEU30_1000Genomes + Argyll_1000 Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.220979
10 Dutch_Dodecad + Orcadian_HGDP + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.222939
11 Orcadian_HGDP + Hungarians_Behar + Lithuanians + Canarias_1000 Genomes @ 1.225473
12 Portuguese_Dodecad + Cornwall_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.226601
13 Hungarians_Behar + Lithuanians + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.228362
14 German_Dodecad + Portuguese_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.231009
15 Irish_Dodecad + CEU30_1000Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.231229
16 Irish_Dodecad + German_Dodecad + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.237714
17 Irish_Dodecad + Hungarians_Behar + Lithuanians + Canarias_1000 Genomes @ 1.241583
18 Irish_Dodecad + Orcadian_HGDP + Murcia_1000 Genomes + Ukranians_Yunusbayev @ 1.243633
19 German_Dodecad + Belorussian_Behar + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.244774
20 Cornwall_1000 Genomes + Argyll_1000 Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.247871

[Nordarya]

Definitely, for instance K15 has a Baltic category that could be inflated for certain Western Demographics and Dodecad (sp ?) is greco-roman biased.



AncestryDNA says I am mostly Irish and Scottish with English and small amounts of German and Scandinavian and tells me I am 1% nigger which is all bullshit because they do not differentiate between the Irish and Scots and the Scandinavian is from the Scottish etc...

LivingDNA says I am Irish, Scottish, English and NorthCumbrian which sounds way more reasonable. Not only does my small amount of continental ancestry shows up as English but I actually have an ancestor from London .I'm actually happy that Living DNA reads my Continental ancestry as English, because I don't feel like the connections are more important than assessing DNA compatibility with Englishness. Consider the assimilation of the German members of the Royal family, the same as New Amsterdam becoming New York. Therefore, if Living DNA isolates incompatible ancestry as Aegean and Pashtun, the question remains how it got into my family tree. I then have to isolate haplogroup clades and subclades more common elsewhere than Anglo-Celtic populations, before it will make any sense why the percentages are read otherwise.


Ancestrydna seems to love telling people they are Irish and scandinavian.

BTW, I edited my above post before this one it was a clusterfuck.Well, I for one know that I am both and have traced this on paper as well as family tradition, so it's great that they don't miss that.


I give up on these calculators and tests. I am not a Marxist or Communist but Karl Marx was right about somethings :

It must nestle everywhere, settle everywhere, establish connections everywhere. The bourgeoisie has through its exploitation of the world-market given a cosmopolitan character to production and consumption in every country. ... And as in material, so also in intellectual production.--Karl Marx

That is the reason these tests all say something different and the calculators are all over the place. Science is now completely corrupted by politics.I think it's capitalism providing an inferior service by pandering to potential customers, like the Cheerios ad with the mixed family. They're incompetent but have a brand name and mansions to build with a bread and circus philosophy. Compare Fox News telling people what we want to hear, rather than the Marxist or Communist ABC/CBS/CNN/MSNBC telling us we're worthless and that we should love them for it.

[Leto]

Sorry, I misread your request for Dodecad Africa9, because that's where I go for the racial admix, along with every EthioHelix app and puntDNAL Africa only. To isolate African ancestry, you have to use the right apps, all the same with the Asian ancestry by theirs. In any case, when apps tabulate African, it's a compilation of different populations in Africa, not a population in and of itself. With Eurasian populations, they're all sifted through with a fine-toothed comb and you can't see the forest for the trees. However, to understand the type of African DNA, you can't just group them all together, because not all of Africa is the same and there are different relationships with the outside world between its populations. My African is more consistent with Mediterranean Europe than Atlantic Europe, so mine is pre-1430s Portuguese contact not dissimilar from Albania and Kosovo and Living DNA proves that. Here though, it says I'm Mixed_Germanic & Puerto Rican, LOL.
Valid points, Africa is genetically diverse even if they all look black to us.
Well, even though I used non-serious language (distant Jigaboo), I didn't mean to troll. White Americans with deep roots in North America often do have traces of African and/or Native American down their line.

[Nordarya]

Valid points, Africa is genetically diverse even if they all look black to us.
Well, even though I used non-serious language (distant Jigaboo), I didn't mean to troll. White Americans with deep roots in North America often do have traces of African and/or Native American down their line.The trick is in finding out the whys and wheretofores...

[Leto]

The trick is in finding out the whys and wheretofores...
1% black is too small an amount to trace, I believe. Just estimate how many generations back that might have happened (admixture event).

[Nordarya]

1% black is too small an amount to trace, I believe. Just estimate how many generations back that might have happened (admixture event).When different apps categorise it as this or that type of African, it becomes a fruitless effort. I've read there are clades of E1a in Mediterranean Europe and even a Yorkshire family of A haplogroup going back forever. I'm guessing it may be one of those freak things. After all, not all of us go along with mass migrations and individuals of exotic origin can be found anywhere, even if atypical, like Marco Polo. It's just something too obscure to rationalise in an intelligible fashion.

[Nordarya]

In any case, most of the apps are just fine for their least distant populations. Usually, whatever's nearest, I can find in my family tree and so, am just fine with Eurogenes saying English, Dodecad saying Mixed Germanic, HarappaWorld saying Utahn White and puntDNAL saying German. Different versions of MDLP say all of them, so they're consistent when combined, while EthioHelix and Gedrosia show racial admix and deep ancestry, so that's just what I go with. I don't think it has to be any more complicated than that in order to understand one's ethnic and racial group, so if Gedmatch confirms I'm White Anglo-Saxon Protestant, great. Your DNA Portal does all this on a simplified level, but MyTrueAncestry actually seems able to draw lines between deep ancestry and modern populations, by quoting actual samples and not calculator models, so it's unsurprising that they find no hits for me in Asia, America or Africa.

Consequently, I have filled out my profile with MyTrueAncestry data, when it matches my family tree and that joins British (Celtic), Dutch (Völkerwanderung) and Danish (Viking) for modern populations, but I noticed that the ancient populations could all be contained in the Angevin Empire: Saxon England, Frank Anjou, Viking Danish Normandy, Celt Ireland and Visigoth Aquitaine, all under the same three yellow leopards on red royal banner of Plantagenet England. If I'm going to get English, German, Dutch and Danish at Gedmatch and Your DNA Portal, there's very good reason. I'm just typical for West Germanic autosomal admixture, even with Celtic mtDNA and yet, atypical paternal R1a being what keeps me from perfect alignment, something that may match me with Prussians and Orcadians for also being R1a West Germanics.

[Nordarya]

1% black is too small an amount to trace, I believe. Just estimate how many generations back that might have happened (admixture event).One thing has occurred to me. Since each app puts different groups under the African header, but the type of African changes per app, from nonexistent in one category to 1% in another, here and there, whereas the subgroups do not have any clear majority, but are much lower than 1% (around the 0.19% total African that Gedrosia quotes), my guess is that they represent different potential noise percentages clumped together in such a way that they appear to be one whole. I take this to be from Mediterranean ancestry sourced to a Balkan lineage, seeing how Living DNA calls it Aegean DNA at as much as 7.6% and not merely the piddly 1% supposedly SSA. Considering that Gedrosia pops Albanian, I'd have to say this correlation has bearing. The question is how? My guess is that refugees from the Ottomans went to France or Spain sometime after 1453 and the Ottoman-Habsburg Wars, perhaps associated with "Frankokratia". There's no telling who they brought back with them when the Venetians and Genovese quit the Orient and then their navigators made their way to America. In fact, I saw some last names that were supposed to be French, but looked Romanian to me, so this seems an entertainable theory, seeing as how I don't have any real earlier records at hand for most of them before the late 16th century and they could have just moved to France a generation before, for instance. The thing is, if the Albanians can maintain an African signature that long apart from Africa, there's no reason why this wouldn't happen for individuals from their population living elsewhere in Europe, or anyplace else in our own time likewise.

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

Then again, this seems to fit me just as well, via my Visigoth ancestry:

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


A panel of 52 SNPs was genotyped in 435 Italian individuals according to Sánchez et al.[56] (https://en.wikipedia.org/wiki/African_admixture_in_Europe#cite_note-59) in order to estimate the proportion of ancestry from a three-way differentiation: Sub-Saharan Africa, Europe, and Asia. The study indicated an autosomal basal proportion of Sub-Saharan ancestry that is higher (9.2%, on average) than other central or northern European populations (1.5%, on average). The amount of African ancestry in Italians is however more comparable to (but slightly higher than) the average in other Mediterranean (https://en.wikipedia.org/wiki/Mediterranean) countries (7.1%).[28] (https://en.wikipedia.org/wiki/African_admixture_in_Europe#cite_note-plosone.org-30)

Another study by the same author in 2011[58] (https://en.wikipedia.org/wiki/African_admixture_in_Europe#cite_note-61) that analyzed genome-wide polymorphism data from about 40 West Eurasian groups showed that "almost all Southern Europeans have inherited 1%–3% African ancestry with an average mixture date of around 55 generations ago, consistent with North African gene flow at the end of the Roman Empire and subsequent Arab invasion".So, if I had admix 55 generations ago, that explains all the hits throughout the Mediterranean, with double digits mostly on European shores and not specific to any region, although most of the highest are Iberian. I'm settling for the 0.00 distance with French single population on Eurasia K3 and 100% for Egyptian primary and 0% secondary population "admixes" on EthioHelix African only. Therefore, the connections are likely between Alexandria on the Nile in Egypt and Marseilles on the Rhone in France as two ends of this spectrum, both of which were Greek ports, also adding a reason why there are so many Mediterranean hits in between. I suppose compared to Europe, I am Egyptian and to Africa, I am French, however, this would be 1% Egyptian and 99% French, while I have quoted above about the same proportions between Tunisian (Carthage) and English, so somewhere in between London and Marseilles (i.e. Visigoth Aquitaine @ Toulouse) would shift to Libya, i.e. Cyrenaica. Since Egypt is the focal point of North African population and civilisation, but obviously related to Palestinian DNA on EthioHelix, I'd say sure, I very may well have Ancient Egyptian and likely Phoenician ancestry. Not exactly unheard of.

I just checked Geni.com and I'm at least his 55th or 54th great-grandson of Constantine (depending whether my dad or mum), so if the quoted study is correct, 55 generations prior would be roughly when Rome moved to Byzantium, so possibly increasing East Mediterranean population movements and all-around integration, but that does predate the Arab movement conceived in the quoted study by about 200 years.

[Nordarya]

Do you have any PCAs, saved from MyTrueAncestry or elsewhere?

94915
94916


...


...


...:p

[Rocinante]

k15

[JamesBond007]

k15

Eurogenes K15 is pretty good but I like Dodecad K12b the most as it is the most precise for me. For instance, I'm a general mixed Germanic first and only secondly do I cluster with the Dutch and then thirdly the English. K12B has me as mixed_Germanic first then Dutch and then English. K15 has me as closest to the English first then to the Dutch.

G25 modern population average agrees that my closest is the Dutch since it has no mixed_Germanic category.

[Rocinante]

Eurogenes K15 is pretty good but I like Dodecad K12b the most as it is the most precise for me. For instance, I'm a general mixed Germanic first and only secondly do I cluster with the Dutch and then thirdly the English. K12B has me as mixed_Germanic first then Dutch and then English. K15 has me as closest to the English first then to the Dutch.

G25 modern population average agrees that my closest is the Dutch since it has no mixed_Germanic category.

K15 split europeans in 5 different components, and IMHO it gives a better mixed4 populations oracles, better than the infamous K13.

Right now, we just have to keep using G25, gedmatch isn't that reliable comparing to it.

[JamesBond007]

Dodecad K12b :

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 3.547707
2 Dutch_Dodecad @ 4.149510
3 CEU30_1000Genomes @ 4.321190
4 English_Dodecad @ 4.433508
5 Kent_1000Genomes @ 4.460861
6 Argyll_1000Genomes @ 5.150399
7 Cornwall_1000Genomes @ 6.123357
8 British_Dodecad @ 6.143931
9 British_Isles_Dodecad @ 6.243843
10 Irish_Dodecad @ 6.326848
11 Orcadian_HGDP @ 6.367440
12 Orkney_1000Genomes @ 6.393582
13 French_Dodecad @ 10.710081
14 German_Dodecad @ 11.014168
15 French_HGDP @ 11.436357
16 Norwegian_Dodecad @ 13.207650
17 Swedish_Dodecad @ 15.786626
18 Hungarians_Behar @ 19.712175
19 Cataluna_1000Genomes @ 24.203848
20 Galicia_1000Genomes @ 25.477442

Using 2 populations approximation:
1 50% Argyll_1000Genomes +50% Mixed_Germanic_Dodecad @ 2.722564


Using 3 populations approximation:
1 50% Argyll_1000Genomes +25% Mixed_Germanic_Dodecad +25% Mixed_Germanic_Dodecad @ 2.722564


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++
1 Argyll_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.634310
2 Argyll_1000Genomes + Argyll_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.722564
3 Argyll_1000Genomes + Kent_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.869009
4 Argyll_1000Genomes + Dutch_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.882358
5 Argyll_1000Genomes + CEU30_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.882728
6 Argyll_1000Genomes + English_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.887494
7 Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 2.889249
8 Irish_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.899449
9 Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000Genomes @ 2.963723
10 Argyll_1000Genomes + Cornwall_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.981114
11 Argyll_1000Genomes + British_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.010854
12 British_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.038926
13 Argyll_1000Genomes + Irish_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.045146
14 Argyll_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 3.054181
15 Cornwall_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.071208
16 Argyll_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000Genomes @ 3.099018
17 Dutch_Dodecad + Irish_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.174103
18 Argyll_1000Genomes + Argyll_1000Genomes + Dutch_Dodecad + Mixed_Germanic_Dodecad @ 3.174822
19 Dutch_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 3.178035
20 Kent_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 3.216183


Eurogenes EUtest V2 K15 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

Admix Results (sorted):

# Population Percent
1 North_Sea 35.90
2 Atlantic 27.26
3 Baltic 9.98
4 Eastern_Euro 9.54
5 West_Med 9.00
6 West_Asian 4.70


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

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

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 4.227181
2 Southeast_English @ 4.311458
3 North_Dutch @ 4.412205
4 Danish @ 4.772104
5 West_Scottish @ 4.967160
6 Irish @ 5.035374
7 Orcadian @ 5.136900
8 North_German @ 6.150977
9 Norwegian @ 7.680265
10 South_Dutch @ 8.165316
11 West_Norwegian @ 8.655346
12 West_German @ 9.124647
13 Swedish @ 9.369050
14 North_Swedish @ 12.142170
15 French @ 13.106814
16 East_German @ 14.483371
17 Southwest_Finnish @ 17.617937
18 Austrian @ 19.816404
19 Hungarian @ 20.136675
20 Finnish @ 21.119114

Using 2 populations approximation:
1 50% North_Dutch +50% Southwest_English @ 3.075809


Using 3 populations approximation:
1 50% North_Dutch +25% Southwest_English +25% Southwest_English @ 3.075809


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++
1 East_German + Orcadian + Orcadian + Orcadian @ 2.379456
2 East_German + Orcadian + Orcadian + Southwest_English @ 2.608917
3 East_German + Orcadian + Orcadian + Southeast_English @ 2.750713
4 East_German + Orcadian + Orcadian + West_Scottish @ 2.770147
5 Norwegian + Orcadian + South_Dutch + Southwest_English @ 2.780758
6 North_Swedish + Orcadian + Southwest_English + Southwest_English @ 2.826059
7 East_German + Irish + Orcadian + Orcadian @ 2.872046
8 Orcadian + South_Dutch + Southwest_English + West_Norwegian @ 2.889784
9 Norwegian + Orcadian + Orcadian + South_Dutch @ 2.924936
10 North_Dutch + Orcadian + Orcadian + South_Dutch @ 2.948628
11 North_German + Orcadian + Southwest_English + Southwest_English @ 2.952860
12 Norwegian + Orcadian + Southwest_English + Southwest_English @ 2.954086
13 Norwegian + Orcadian + South_Dutch + Southeast_English @ 2.956412
14 North_German + Southwest_English + Southwest_English + West_Norwegian @ 2.956784
15 Orcadian + South_Dutch + Southwest_English + Swedish @ 2.995584
16 Irish + Norwegian + Orcadian + South_Dutch @ 2.999320
17 North_German + Norwegian + Southwest_English + Southwest_English @ 3.005166
18 North_German + Orcadian + Orcadian + South_Dutch @ 3.005891
19 Norwegian + Orcadian + South_Dutch + West_Scottish @ 3.010474
20 Norwegian + Southeast_English + Southwest_English + Southwest_English @ 3.010906

Done.

Elapsed time 0.8723 seconds.

[JamesBond007]

K15 split europeans in 5 different components, and IMHO it gives a better mixed4 populations oracles, better than the infamous K13.

Right now, we just have to keep using G25, gedmatch isn't that reliable comparing to it.

I agree. K13 is crap man it tells me I am Irish.

[GoalPoacher]

I guess it depends on the region. Dodecad K12b seems to give the most meaningful results for Anatolia&Caucasus and surrounding areas.

[GoalPoacher]

I guess it depends on the region. Dodecad K12b and Eurogenes K13 seems to give the most meaningful results for Anatolia&Caucasus and surrounding areas.

[JamesBond007]

I changed my mind to Dodecad V3 or PuntDNAL global. I think there is a reason Dodecad V3 is the default calculator instead of K12B.

Dodecad V3 says I'm closest to Argyll Scottish and K12B says mixed_Germanic then Dutch. I have nothing against the Dutch but I have no Dutch ancestors so that makes no sense.

[Precchia]

I like Eurogenes k36 the best only it doesn’t have oracles. If it had oracles it would be perfect.

[Arianit]

Eurogenes doesn't even have a sample for Albanian which isn't relevant to me. Dodecad V3 is better in this regard.

[reboun]

MDLP. The higher number of divisions means better accuracy.

[Plutarch]

For me, the most accurate has been the oracle for Eurogenes K13:

Mixed Mode:
1 71,48% North_German + 28,52% Ashkenazi @ 1,577
2 78,52% North_German + 21,48% Cypriot @ 1,664
3 70,70% North_German + 29,30% East_Sicilian @ 1,767
4 69,92% North_German + 30,08% Central_Greek @ 1,870
5 72,27% Norwegian + 27,73% Cypriot @ 1,959
6 59,77% Swedish + 40,23% Italian_Abruzzo @ 2,031
7 72,27% North_German + 27,73% South_Italian @ 2,056
8 74,61% North_German + 25,39% Italian_Jew @ 2,087
9 75,39% North_German + 24,61% Algerian_Jew @ 2,148
10 75,39% Danish + 24,61% Cypriot @ 2,190

Using 3 populations approximation
1 33% North_German + 33% North_German + 33% Italian_Abruzzo @ 2,252
2 33% Swedish + 33% Swedish + 33% South_Italian @ 2,274
3 33% Danish + 33% Danish + 33% Central_Greek @ 2,345
4 33% Swedish + 33% Norwegian + 33% South_Italian @ 2,356
5 33% North_German + 33% North_German + 33% Central_Greek @ 2,361
6 33% North_German + 33% North_German + 33% East_Sicilian @ 2,482
7 33% Irish + 33% Swedish + 33% Ashkenazi @ 2,498
8 33% Danish + 33% Danish + 33% East_Sicilian @ 2,558
9 33% Danish + 33% North_Dutch + 33% Central_Greek @ 2,573
10 33% Swedish + 33% Norwegian + 33% East_Sicilian @ 2,605

I’m ~37.5% Dutch, 25% Heptanesian (Greek), 25% Danish, ~12.5% German.

The oracle for Dodecad K12b is not accurate for me and suggests that my half Dutch, half Greek mother is Irish/Scottish and Jewish/Druze. This is not supported by our family history, and on MyHeritage our DNA doesn’t match anyone with those ethnicities.

But I don’t think this is the fault of Dodecad K12b, because when I use its coordinates to compare us to ancient populations, the results are fairly accurate:

Distance to: Mother
2.07906370 41.20% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 58.80% Iron_Age_Britain_(n=4)
2.82221880 32.20% Iron_Age_Israel_(n=6) + 67.80% Iron_Age_Britain_(n=4)
2.85823766 31.20% Iron_Age_Israel_(n=6) + 68.80% Early_Iron_Age_Britain_(n=37)
3.00045125 44.00% Italian_Greeks_(n=2) + 56.00% Iron_Age_Britain_(n=4)
3.05107902 58.80% Imperial-age_Marche_(n=2) + 41.20% Iron_Age_Sweden_(n=4)
3.18355273 40.00% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 60.00% Early_Iron_Age_Britain_(n=37)
3.20489265 52.60% Imperial-age_Marche_(n=2) + 47.40% Iron_Age_Netherlands_(n=5)
3.34268530 34.00% Iron_Age_Armenia_(n=7) + 66.00% Iron_Age_Gaul_Hallstatt_(n=12)
3.37739344 56.80% Imperial-age_Marche_(n=2) + 43.20% Iron_Age_Denmark_(n=10)
3.38041680 52.00% Imperial-age_Marche_(n=2) + 48.00% Iron_Age_Britain_(n=4)

Distance to: Son
2.29471975 20.40% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 79.60% Iron_Age_Netherlands_(n=5)
2.38351355 35.60% Imperial-age_Marche_(n=2) + 64.40% Iron_Age_Sweden_(n=4)
2.46219114 21.80% Italian_Greeks_(n=2) + 78.20% Iron_Age_Netherlands_(n=5)
2.59952639 16.20% Iron_Age_Israel_(n=6) + 83.80% Iron_Age_Netherlands_(n=5)
2.60988783 25.60% Imperial-age_Marche_(n=2) + 74.40% Iron_Age_Netherlands_(n=5)
2.69251019 26.20% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 73.80% Iron_Age_Denmark_(n=10)
2.81388869 30.80% Italian_Greeks_(n=2) + 69.20% Iron_Age_Sweden_(n=4)
2.97782939 15.60% Iron_Age_&_Hellenistic_Egypt_(n=3) + 84.40% Iron_Age_Netherlands_(n=5)
2.98088458 29.00% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 71.00% Iron_Age_Sweden_(n=4)
3.09783121 27.80% Italian_Greeks_(n=2) + 72.20% Iron_Age_Denmark_(n=10)

The ancient Greek percentages are a little bit lower, but I think this is because of the Mardaites (who were made up of various Middle Eastern ethnicities) and the Venetians who later settled in the Ionian Islands (where my Greek ancestors are from).

[Flamingo]

My favourites are Eurogenes k13 and k15

[Callman90]

Dodecad