Tuesday, October 17, 2017

An Oracle Analysis

I'm going to illustrate how I interpret my Oracle results, because I still see a lot of people asking "what do my Oracle results mean?" If you haven't already, you may want to read my intro guide to Gedmatch's Admixture and Oracle, but I'd like to elaborate on that a little bit.

Firstly, it's important to remember that the results can be very speculative and it's best not to take them very literally. People in neighboring regions simply share too much DNA to always be able to tell them apart with accuracy. That means the more narrowed down the areas are in the result, the more speculative it is. You could be German, for example, and get French results because they are neighboring countries who share a lot of DNA. It doesn't mean you're French, it just means this particular calculator put that French/German shared DNA into French instead of German.

Eurogenes K13 Oracle 4, using 4 populations approximation
Secondly, your results are going to be different for each calculator you use so don't just stick to one, explore all those which apply to your background (ie, don't go using Ethiohelix when you're 100% European). Certain calculators may give you more or less accuracy than others. In my personal experience, Eurogenes K13 Oracle 4 (right) isn't very accurate. It really wants me to be Jewish and I'm really not - I have no known Jewish ancestry and don't get any Jewish results from any of the big 4 companies, or in any of Gedmatch's Admixtures. It crops up in the odd Oracle result, but none so much as Eurogenes K13 Oracle 4 populations. I personally have found K15 and EUtest Oracle's to be more accurate, and since K15 is a more recent version of EUtest, that's what I'm going to use to demonstrate how to read Oracle results in some more depth than before.

I find the best thing to do is rather than look at your Oracle results and try to pick one combination that fits you best, or shows the closest distance, look at the results on the whole. Which populations are you seeing the most? Which ones the least? Although I like to look at 4 populations the most because I am primarily from 4 different regions in Europe, you can also look at the 1, 2, and 3 populations modes.

These are my Eurogenes EUtest V2 K15 Oracle 4 results:

1 Orcadian + South_Italian + West_German + West_German @ 4.425306
2 French + South_Italian + West_German + West_Norwegian @ 4.689746
3 South_Italian + Southwest_English + West_German + West_German @ 4.689806
4 East_Sicilian + Orcadian + West_German + West_German @ 4.747531
5 Italian_Jewish + Orcadian + West_German + West_German @ 4.835878
6 East_Sicilian + Southwest_English + West_German + West_German @ 4.850750
7 Italian_Abruzzo + West_German + West_German + West_German @ 4.853912
8 North_Dutch + South_Italian + West_German + West_German @ 4.863277
9 French + Orcadian + South_Italian + West_German @ 4.911067
10 South_Italian + Southeast_English + West_German + West_German @ 4.914701
11 Tuscan + West_German + West_German + West_German @ 4.922722
12 Central_Greek + Orcadian + West_German + West_German @ 4.922800
13 South_Italian + West_German + West_German + West_Norwegian @ 4.927629
14 Irish + South_Italian + West_German + West_German @ 4.941526
15 South_Italian + West_German + West_German + West_Scottish @ 4.958009
16 East_Sicilian + French + West_German + West_Norwegian @ 4.978409
17 East_Sicilian + French + Orcadian + West_German @ 4.982550
18 South_Italian + West_German + West_German + West_German @ 5.005996
19 South_Italian + Spanish_Galicia + West_Norwegian + West_Norwegian @ 5.010231
20 Central_Greek + Southwest_English + West_German + West_German @ 5.011045

So rather than saying the top results must be the most accurate because it's the closest distance, and determining it to be only somewhat accurate because it did identify my German, Italian, and Scottish ancestry, but not my English or Norwegian, let's look at the entire results as a whole.

Map showing my known ancestor's birth
places in Europe
What am I seeing the most? Probably West German. This is very accurate, I have a lot of West German ancestry on both sides of my tree, and I estimate it makes up about 25% of my tree. I also have a couple Swiss-German branches, which is still fairly consistent with West German. There's one ancestor who was from Bavaria, which is a region of Germany more to the east, but I have no idea what part of Bavaria - could have been the western most part for all I know. What I do know is that I rarely ever get admixture/ethnicity results in Eastern Europe and when I do, it's normally in such small portions, it's likely noise. So this is all very consistent with my tree.

I'm also seeing South Italian and some other Italian regions like East Sicilian and Abruzzo. This is incredibly accurate. I do indeed have Sicilian, Abruzzo, and other Southern Italian ancestry. My paternal grandmother was of entirely Italian descent so that makes up another 25% of my tree. My Sicilian branch is a bit more Northern Sicily than Eastern, but that's fairly negligible. There's one count of Tuscan and as far as I know I have no Tuscan ancestry, but that too is probably not very significant since it only shows up once.

There's a few West Norwegians thrown in there, which is also accurate, I have one great grandparent who was Norwegian, making up 12.5% of my tree. Several branches were indeed from Western Norway, although one branch did come from the more Eastern towns of Bamble and Skien.

Map showing my population results for
Eurogenes K15 Oracle 4, compare with above map
You may also notice a few Orcadian and West Scottish populations. This is somewhat accurate, I do have several Scottish or Scots-Irish branches dating back to colonial times, but where exactly in Scotland they were from isn't really known. Orcadian (people from the Orkney Islands) seems a little unlikely as my understanding is most Orcadian immigrants went to Canada through the Hudson Bay Company rather than the US. But if we consider Orcadian as a representation of my Scottish or even British heritage, it makes sense. The Orcadians were also influenced by the Vikings, so there's also a potential connection to my Norwegian side. My overall British branches make up about 34% of my tree, and in addition to Scottish, includes English, so it's not surprising to find a few instances of Southeast or Southwest English. As you can see from the map above, I do indeed have ancestry in Southwest and Southeast England, although I have more recent roots in Northern England, near Manchester so it's a shame it didn't pick this up. It's possible Oracle is underestimating my British ancestry, since there's only a few English populations included, but when you consider how genetically similar the British and Germans are, and knowing how many instances of West German are listed, it makes some sense.

I lastly have a smidgen of colonial Dutch and French Huguenot in my tree but I don't know how realistic it is to expect that to show up in admixture results, as it may have been from too long ago. They make up about 1-2% each of my tree. So when I see a few results for North Dutch and French, I'm taking it with a grain of salt. I'd like to think it could be from colonial ancestry but the way Oracle works by identifying the populations you match most closely, it doesn't seem likely I would closely match a population from so far back in my tree. It seems more likely that it's just being picked up from neighboring regions where I have ancestry.

Likewise, I wouldn't put much thought into the remaining few instances of Italian Jewish, Central Greek, Irish, and Spanish Galicia. Irish is probably just representing my British background, as those two groups are closely related, and likewise, Italian Jewish, Central Greek, and Spanish Galicia may be related to my Italian heritage since they're all from that Mediterranean area. In any case, since there's only one or two counts of them, it's easy to ignore them.

So overall, despite the fact that it doesn't always identify my British/English ancestry as much as it maybe should, it's actually remarkably accurate when you look at it on the whole. Compare the two maps above, one showing the origins of my ancestors and the other showing my Oracle results, and they really aren't far off each other (keeping mind some of the locations for the Oracle map cover a larger area than what the pinpoints represent). Mapping it out is another good, fun way to analyze your admixture or Oracle results, if you'd like to try it, just go to My Google Maps.

I don't normally worry too much about the distance unless it starts getting really high. For example, K13's Oracle has closer distances than K15, but the populations in K15 are far more accurate for me than K13. I am NOT saying K15 is the best option for everyone. When I look at my dad's K15 Oracle results, they are mostly inaccurate, constantly insisting he is Lebanese Druze, which seems very off base. I can't even promise that there will be an Oracle calculator that is as accurate for you as Eurogenes K15 is for me, since I haven't really found one for my dad that is this accurate (he does get a lot of Abruzzo results in various calculators, which is accurate, but there's also a lot of populations that are kind of out there for him).

Also keep in mind some of the calculators contain a lot of ancient (prehistoric) populations. If you see some weird names like "Battle Axe" or "Bell Beaker", these are probably ancient populations (Battle Axe is Neolithic, Bell Beaker is western Europe in late Neolithic-early Bronze Age).

I hope this gives some more detailed insight in how you might interpret your own Oracle results. If you are adopted and don't know your ancestral background, it's difficult to know which calculators will be more accurate than others. You should definitely still take all this with a grain of salt, but it is fun to examine and compare with what we do know.

42 comments:

  1. This information was extremely helpful, you really put it out there in layman’s terms, BUT I am still thouroghly confused by my results...they are all over the place. I would love it if you could take a look at my info and offer any advice. Kit A413599

    Admix Results (sorted):
    # Population Percent
    1 ASHKENAZI 17.28
    2 WEST_AFRICAN 14.67
    3 EAST_MED 12.84
    4 ATLANTIC 10.78
    5 WEST_MED 10.5
    6 NORTH-CENTRAL_EURO 7.45
    7 MIDDLE_EASTERN 6.54
    8 SOUTH_BALTIC 5.08
    9 SIBERIAN 4.06
    10 WEST_ASIAN 4.04
    11 EAST_AFRICAN 3.34
    12 EAST_EURO 1.83
    13 SOUTH_ASIAN 1.61

    Thank you SO much in advance, if you can!

    ReplyDelete
    Replies
    1. That's certainly interesting you have results in 13 out of 14 populations, but I probably wouldn't put too much stock in results under about 5%. It's possible Jtest just isn't the best admixture calculator for you. What is your known ancestry?

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  2. It's interesting to learn more about Oracle.

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  3. How did you map it using Google Maps? I tried to copy the "Spreadsheet" into My Google Maps, but it didn't go. I'm hoping I'm doing something wrong, and there's an easy way to do it. :)

    ReplyDelete
    Replies
    1. You have to search for each location individually, then click "add to map". You can also add spots manually by clicking "add marker" at the top, then clicking where you want to add a marker.

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    2. I have the same question. When I do a search on say, "East_Med", I get the name of an Eastern Mediterranean doctor's office in NYC. Is there a Google Map option specifically for interpreting the Oracle-4 results?

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    3. GJ, places that don't have political boundaries but are just geographical regions like East Mediterranean aren't official areas so they won't be in Google maps. But you can add your own markers wherever you want in My Google Maps - just click the "add marker" button at the top (under the search bar).

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  4. Thanks for the analysis info. I am just getting into this some and the stuff on GEDmatch can be a little overwhelming. My ancestors came form Norway, Sweden, and Denmark, but on all models I am seeing Orkney Islands. But then I did remember my brother mentioning years ago that there were some Norwegian farm names matching some Scottish Island place names. Certainly Viking DNA crossover. But in my case, I am thinking a migration from Scotland to Norway around perhaps 1400s. And this would have filtered into many families. Don't take this as truth because I don't have record to prove it. But I don't think GEDmatch is wrong. I think it's probably accurate for how much Orkney/Orcadian/Scottish comes up (my family tree goes back as far as we have records 2-450 years in some locations, never beyond Scandinavia, but that's not that long in the span of humankind).

    My other info coming up repeatedly is Baltic, which makes enough sense with the Swedish empire. And Russia (also connected to movement into Sweden). Hungarian/Slovenian consistently does not even surprise me (small amounts). 1-2% south Asian would explain possible Roma, who would have been forced into settlement in the 1600-1700s. But I have no proof of this (but south Asian is usually Roma in Europe, and it would possibly explain the dark skinned and black haired Swedes). Sometimes following the search with European history helps it make a little more sense, but it doesn't really provide concrete answers. But it has been very interesting.

    For me Eurogenes 13 was a little better that EUtest, but both nailed Sweden, Norway, Denmark as top, then even North Germany (Danes who were from Schlesswig, but I think one strand of German families based on names in the tree). So the others are probably accurate, though maybe less perfect as drifting towards trace amounts.

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  5. Was wondering about the meaning of the column headings that appear in spreadsheet of Admixture/Oracle with Population Search. Having for example Mesoamerican as the column and Apache as the row with 34.53 and then the NorthAmerind column with 43.81 in the Apache row. I think this is an indication confirming the small percentage of American Indian ancestors I have from a long time ago. Correct or not?

    ReplyDelete
    Replies
    1. There is a good explanation of the Spreadsheet feature available here: http://www.rootsandrecombinantdna.com/2015/12/gedmatchs-new-spreadsheet-feature.html - It is not your personal results, it simply tells you more about the reference populations. If you check the spreadsheet for multiple different kits, you'll see they are the same for everyone.

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  6. I was curious to see if I could also get a better understanding of this. I used the MDLP 22 world, I am from Puerto Rico, parents are also, grandparents etc.
    My cousin did some research on my maternal grandfather, African slave from Italy married indigenous woman from Puerto Rico and here we are.
    These were my results with the calculator
    1 Puerto-Rican_derived @ 5.256896
    2 Ashkenazim_V_derived @ 20.415228
    3 Portugese_derived @ 20.742107
    4 Italian-North_derived @ 21.050951
    5 Miwok_derived @ 21.179125
    6 Lumbee_derived @ 21.203547
    7 Swiss_derived @ 21.741407
    8 Corsican_derived @ 21.861517
    9 Italian_North_derived @ 21.998463
    10 Greek_South_derived @ 22.178032
    11 Provancestralal_derived @ 22.455303
    12 Romania_derived @ 22.708944
    13 Iberian_derived @ 22.960508
    14 Greek_North_derived @ 23.113239
    15 Jew_Romania_derived @ 23.802633
    16 Kosovar_derived @ 23.973373
    17 Bulgarian_derived @ 23.993357
    18 Greek_Center_derived @ 24.016945
    19 Mexican_derived @ 24.129742
    20 Gagauz_derived @ 24.238602

    1 Corsican_derived + Lumbee_derived + Mexican_derived + Puerto-Rican_derived @ 4.221315
    2 Italian-North_derived + Lumbee_derived + Mexican_derived + Puerto-Rican_derived @ 4.375066
    3 Lumbee_derived + Mexican_derived + Portugese_derived + Puerto-Rican_derived @ 4.383956
    4 Ashkenazim_V_derived + Lumbee_derived + Mexican_derived + Puerto-Rican_derived @ 4.385729
    5 Miwok_derived + Moroccan_derived + Puerto-Rican_derived + Welsh_derived @ 4.470404
    6 British_derived + Miwok_derived + Moroccan_derived + Puerto-Rican_derived @ 4.477238
    7 CEU_derived + Miwok_derived + Moroccan_derived + Puerto-Rican_derived @ 4.484256
    8 German_V_derived + Miwok_derived + Moroccan_derived + Puerto-Rican_derived @ 4.489669
    9 German-South_derived + Lumbee_derived + Miwok_derived + Mozabite_derived @ 4.500559
    10 CEU_V_derived + Miwok_derived + Moroccan_derived + Puerto-Rican_derived @ 4.586166
    11 Austrian_derived + Miwok_derived + Moroccan_derived + Puerto-Rican_derived @ 4.613389
    12 French_derived + Lumbee_derived + Miwok_derived + Mozabite_derived @ 4.636646
    13 German-South_derived + Miwok_derived + Moroccan_derived + Puerto-Rican_derived @ 4.711123
    14 German-South_derived + Lumbee_derived + Mexican_derived + Mozabite_derived @ 4.712764
    15 Miwok_derived + Moroccan_derived + Orcadian_derived + Puerto-Rican_derived @ 4.755253
    16 British_derived + Lumbee_derived + Mexican_derived + Mozabite_derived @ 4.804958
    17 German-North_derived + Miwok_derived + Moroccan_derived + Puerto-Rican_derived @ 4.852050
    18 Iberian_derived + Lumbee_derived + Mexican_derived + Puerto-Rican_derived @ 4.868965
    19 Greek_South_derived + Lumbee_derived + Mexican_derived + Puerto-Rican_derived @ 4.886279
    20 Hungarian_derived + Miwok_derived + Moroccan_derived + Puerto-Rican_derived @ 4.930348
    Please help! Thank you in advance for your time!

    ReplyDelete
    Replies
    1. Well, the single population results are mostly 20+ distance so they're not very close matches, and I wouldn't put much stock in them. Your 4 population results seem fairly typical for someone Puerto Rican - a mix of Native American and European. I don't see much African in there apart from Moroccan and Mozabite. Your European results look like they might be part Southern and part Northern.

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  7. Hello, I have found your post to be the most helpful out of everyone's. DNA_Land showed Pima on my map so I have been trying to understand what is native american and what is Mexican because 23 and me did a really poor job of giving me info on this. Can you tell me what this means?

    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
    1 Apache_derived + Jordanian_derived + Norwegian_V_derived + Orcadian_derived @ 3.428330
    2 Apache_derived + Jew_Romania_derived + Puerto-Rican_derived + Swedish_V_derived @ 3.448981
    3 Apache_derived + Egyptian_derived + Norwegian_V_derived + Orcadian_derived @ 3.517338
    4 Apache_derived + British_derived + Egyptian_derived + Norwegian_V_derived @ 3.521949
    5 Apache_derived + CEU_derived + Egyptian_derived + Norwegian_V_derived @ 3.569556
    6 Apache_derived + Basque_derived + Inkeri_derived + Jordanian_derived @ 3.580532
    7 Apache_derived + Inkeri_derived + Puerto-Rican_derived + Sicilian_derived @ 3.645587
    8 Apache_derived + Jew_Francestrale_derived + Puerto-Rican_derived + Russian_North_derived @ 3.645923
    9 Apache_derived + Basque_derived + Finnish_derived + Jordanian_derived @ 3.669784
    10 Apache_derived + CEU_derived + Jordanian_derived + Norwegian_V_derived @ 3.679050
    11 Apache_derived + Iberian_derived + Jew_Algeria_derived + Karelian_derived @ 3.690078
    12 Apache_derived + Jordanian_derived + Norwegian_V_derived + Norwegian_V_derived @ 3.697072
    13 Apache_derived + CEU_derived + Egyptian_derived + Orcadian_derived @ 3.708522
    14 Apache_derived + Basque_derived + Jordanian_derived + Russian_North_derived @ 3.710806
    15 Apache_derived + Inkeri_derived + Jew_Francestrale_derived + Puerto-Rican_derived @ 3.715400
    16 Apache_derived + Finnish_derived + Puerto-Rican_derived + Sicilian_derived @ 3.726892
    17 Apache_derived + British_derived + Jordanian_derived + Norwegian_V_derived @ 3.729484
    18 Apache_derived + Egyptian_derived + Norwegian_V_derived + Welsh_derived @ 3.756615
    19 Apache_derived + Basque_derived + Jordanian_derived + Karelian_derived @ 3.758073
    20 Apache_derived + Jew_Italia_derived + Puerto-Rican_derived + Russian_North_derived @ 3.763185

    Least-squares method.

    Using 1 population approximation:
    1 Miwok_derived @ 14.845313
    2 Puerto-Rican_derived @ 17.095482
    3 Mexican_derived @ 19.790222
    4 Colville_derived @ 20.893429
    5 Ashkenazim_V_derived @ 21.597666
    6 Romania_derived @ 22.555450
    7 Bulgarian_derived @ 23.178505
    8 Gagauz_derived @ 23.276686
    9 Swiss_derived @ 24.022049
    10 Greek_South_derived @ 24.104401
    11 Macedonian_derived @ 24.163662
    12 Costanoan_derived @ 24.705030
    13 Italian_North_derived @ 24.719406
    14 Greek_North_derived @ 24.822214
    15 Montenegrin_derived @ 24.914684
    16 Provancestralal_derived @ 25.556179
    17 Italian-North_derived @ 25.740135
    18 Jew_Romania_derived @ 25.787836
    19 Serbian_derived @ 25.961607
    20 Tsimsian_derived @ 26.644518

    Using 2 populations approximation:
    1 50% Serbian_derived +50% Serrano_derived @ 7.893962


    Using 3 populations approximation:
    1 50% Miwok_derived +25% Russian_North_derived +25% Sephardim_derived @ 5.127058

    I don't get what these numbers are even saying.

    ReplyDelete
    Replies
    1. The numbers after @ are how closely you match that population (or combination of populations). So the smaller the number, the more closely you match that population. The 1 population approximations are above 10, so I'd consider them fairly distant. The 4 population approximation has closer numbers - looks like it's mostly saying you're European (mostly Scandinavian), Native American (mostly Apache), and Middle Eastern. That is fairly typical for Mexicans, who tend to be either (or a mix of) European and Native American, and sometimes African.

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  8. Thank you for your very useful posts! Having uploaded to Genmatch Genesis and finding no close relatives, I started dabbling in the admixture area without a clue how to interpret the results but am feeling more confident after reading your articles, especially the information that there are few English populations included in the Eurogenes tests. My grandparents' origins: England (Somerset, Coventry, Manchester) and Ireland (1st 2 more certain as I've never met my natural father). But my top results from K13 and K15 were West Scottish, Orcadian and South-East English.
    The map at https://www.nature.com/articles/s41598-017-17124-4/figures/1 really helps to make more sense of British Isles results.
    My observations:
    1. West Scottish could equally be Northern Irish (protestant I assume) due to large scale relatively recent migrations.
    2. South-East English covers most of the country, certainly including Coventry, maybe Manchester too.
    3. Orkney is one of the most intensely researched areas of the British Isles which may be why it is over represented in many people's results; also it is more closely related to Southern Irish than the rest of the UK, which I did not expect.
    4. Somerset is completely absent from the map which surprised me as it is the sort of county with deep rural pockets where finding people with 4 locally born grandparents should be easy; so the South-West English category may only represent Devon & Cornwall (I did get some South-West but much lower down than I was expecting).

    ReplyDelete
    Replies
    1. Keep in mind the samples and populations used for the Irish DNA Atlas are probably not the same as those used for Eurogenes, so I wouldn't assume Eurogenes has as many Orkney samples as this project does.

      The Orkney samples being most similar to Southern Ireland might have to do with Viking influences.

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  9. Hi. Please, can you help me analyze these results, I will be very grateful.
    For example: Ashkenazy_Jews (Behar) 24.25.
    or
    7 86. 3% Hungarians (Behar)+13.7% Azerbaijan_Jews (Behar) @ 2.52

    Does that mean that some of my ancestor was a Jew or what?

    Dodecad V3 Oracle results:
    Admix Results (sorted):
    # Population Percent
    1 West_European 33.59
    2 Mediterranean 27.01
    3 East_European 21.78
    4 West_Asian 13.99
    5 Southwest_Asian 1.81
    6 South_Asian 1.12
    7 Northwest_African 0.56
    8 Southeast_Asian 0.16

    Single Population Sharing:
    # Population (source) Distance
    1 Hungarians (Behar) 7.35
    2 Slovenian (Xing) 7.49
    3 Balkans (Dodecad) 10.43
    4 Romanians_14 (Behar) 11.89
    5 German (Dodecad) 19.36
    6 Tuscan (Xing) 19.36
    7 Tuscan (Henn) 19.8
    8 TSI (HapMap) 20.11
    9 CEU (HapMap) 21.44
    10 N_Italian (Dodecad) 21.83
    11 N._European (Xing) 22.03
    12 Argyll (1000 Genomes) 22.65
    13 Orcadian (HGDP) 23.36
    14 O_Italian (Dodecad) 23.62
    15 Orkney (1000 Genomes) 23.7
    16 Mixed_Slav (Dodecad) 24.15
    17 Ashkenazy_Jews (Behar) 24.25
    18 Polish (Dodecad) 24.39
    19 French (Dodecad) 24.49
    20 French (HGDP) 24.73

    Mixed Mode Population Sharing:
    # Primary Population (source) Secondary Population (source) Distance
    1 74.1% Romanians_14 (Behar) + 25.9% Swedish (Dodecad) @ 2.05
    2 61.9% Slovenian (Xing) + 38.1% Romanians_14 (Behar) @ 2.07
    3 87.6% Hungarians (Behar) + 12.4% Armenian (Dodecad) @ 2.12
    4 88% Hungarians (Behar) + 12% Armenians_16 (Behar) @ 2.18
    5 79.3% Slovenian (Xing) + 20.7% Greek (Dodecad) @ 2.26
    6 84.2% Hungarians (Behar) + 15.8% Turkish (Dodecad) @ 2.42
    7 86.3% Hungarians (Behar) + 13.7% Azerbaijan_Jews (Behar) @ 2.52
    8 73.7% Balkans (Dodecad) + 26.3% Mixed_Germanic (Dodecad) @ 2.55
    9 62.3% Romanians_14 (Behar) + 37.7% German (Dodecad) @ 2.64
    10 88% Hungarians (Behar) + 12% Assyrian (Dodecad) @ 2.64
    11 77.9% Hungarians (Behar) + 22.1% Ashkenazy_Jews (Behar) @ 2.66
    12 79% Hungarians (Behar) + 21% Ashkenazi (Dodecad) @ 2.68
    13 86.7% Hungarians (Behar) + 13.3% Druze (HGDP) @ 2.7
    14 85.6% Hungarians (Behar) + 14.4% Turks (Behar) @ 2.72
    15 75.6% Romanians_14 (Behar) + 24.4% Norwegian (Dodecad) @ 2.74
    16 78.6% Balkans (Dodecad) + 21.4% Irish (Dodecad) @ 2.91
    17 86.8% Hungarians (Behar) + 13.2% Iranian_Jews (Behar) @ 2.92
    18 85.3% Hungarians (Behar) + 14.7% Uzbekistan_Jews (Behar) @ 2.92
    19 87.1% Hungarians (Behar) + 12.9% Iraq_Jews (Behar) @ 2.92
    20 68.6% Balkans (Dodecad) + 31.4% N._European (Xing) @ 2.95

    ReplyDelete
    Replies
    1. Not necessarily - with certain calculators I also get a lot of results for Jewish populations, but I have no known Jewish ancestry. You have six mixed mode populations that are estimated a closer match to you and don't include Jewish - if you have no record of Jewish ancestry, I'd take it with a grain of salt, especially if you get no Jewish results with whatever company you tested with.

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  10. I think I'm following all of this, but I can't seem to figure out a few abbreviations. UA and PL

    Using 1 population approximation:
    1 UA @ 3.925877
    2 PL @ 4.353597

    Help?

    ReplyDelete
    Replies
    1. The two letter abbreviations are normally standard country abbreviations - so UA is Ukraine and PL is Poland. There's a good reference chart here: http://sustainablesources.com/resources/country-abbreviations/

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  11. I am curious what you make of this. All four of my mother's grandparents are Irish. One from North Leitrim, One, South Tipperary, Two from Cork. Yet this Euro v2 K15 basically screams Orkney. Thoughts? Btw, love your blog. Very helpful.

    Using 4 populations approximation:
    +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
    1 Orcadian + Orcadian + Orcadian + West_Scottish @ 3.674745
    2 Orcadian + Orcadian + Orcadian + Orcadian @ 3.772732
    3 Orcadian + Orcadian + West_Scottish + West_Scottish @ 3.785784
    4 Irish + Orcadian + Orcadian + Orcadian @ 3.866722
    5 Irish + Orcadian + Orcadian + West_Scottish @ 4.012367
    6 Danish + Orcadian + Orcadian + Orcadian @ 4.060693
    7 Orcadian + West_Scottish + West_Scottish + West_Scottish @ 4.070186
    8 Orcadian + Orcadian + Orcadian + Southeast_English @ 4.084684
    9 Danish + Orcadian + Orcadian + West_Scottish @ 4.195603
    10 Orcadian + Orcadian + Southeast_English + West_Scottish @ 4.200364
    11 Irish + Irish + Orcadian + Orcadian @ 4.263694
    12 Irish + Orcadian + West_Scottish + West_Scottish @ 4.334814
    13 North_Dutch + Orcadian + Orcadian + Orcadian @ 4.344476
    14 Danish + Irish + Orcadian + Orcadian @ 4.402400
    15 North_Dutch + Orcadian + Orcadian + West_Scottish @ 4.409974
    16 Irish + Orcadian + Orcadian + Southeast_English @ 4.432096
    17 Orcadian + Orcadian + Orcadian + Southwest_English @ 4.476624
    18 Orcadian + Southeast_English + West_Scottish + West_Scottish @ 4.480522
    19 Danish + Orcadian + West_Scottish + West_Scottish @ 4.492472
    20 Orcadian + Orcadian + Southwest_English + West_Scottish @ 4.537932

    Done.

    ReplyDelete
    Replies
    1. I think K15 has a thing for Orkney. I am an American from the Upland Southeast. Mom's family were almost completely English, Dad's were Scots-Irish or what is also called Ulster-Scottish:

      My K15 results:
      1 North_German + Orcadian + Orcadian + West_Scottish @ 3.476494
      2 North_German + Orcadian + Orcadian + Southeast_English @ 3.476579
      3 Irish + North_German + Orcadian + Orcadian @ 3.506570
      4 North_German + Orcadian + West_Scottish + West_Scottish @ 3.506628
      5 North_German + Orcadian + Southeast_English + West_Scottish @ 3.514637
      6 Irish + North_German + Orcadian + West_Scottish @ 3.584917
      7 North_German + Orcadian + Orcadian + Southwest_English @ 3.587142
      8 North_German + Orcadian + Southwest_English + West_Scottish @ 3.589408
      9 Orcadian + South_Dutch + West_Scottish + West_Scottish @ 3.618391
      10 Orcadian + Orcadian + South_Dutch + West_Scottish @ 3.628776
      11 Irish + North_German + Orcadian + Southeast_English @ 3.631711
      12 Danish + Orcadian + Southeast_English + West_Scottish @ 3.649663
      13 Danish + Irish + Orcadian + Southeast_English @ 3.663289
      14 Danish + Orcadian + Southwest_English + West_Scottish @ 3.683608
      15 North_German + Orcadian + Orcadian + Orcadian @ 3.688874
      16 Orcadian + Southeast_English + West_Scottish + West_Scottish @ 3.690109
      17 Irish + Orcadian + Orcadian + South_Dutch @ 3.695001
      18 Irish + Irish + North_German + Orcadian @ 3.700986
      19 North_German + Orcadian + Southeast_English + Southeast_English @ 3.702024
      20 Danish + Orcadian + Southeast_English + Southeast_English @ 3.707214

      Delete
  12. I just wanted to add, as I went through others, I got a wow using the MDLP K16. See below. But while the 4 is weird, the 1 is pretty spot on for what matches actual ancestry.

    Using 1 population approximation:
    1 Irish_Connacht @ 3.930453
    2 Irish_Munster @ 4.310628
    3 Irish_Cork_Kerry @ 4.409552
    4 Scottish_Highlands @ 4.447891
    5 Scottish_Dumfries_Galloway @ 4.466989
    6 Scottish_Grampian @ 4.525514
    7 Shetlandic_Shetland_Islands @ 4.713021
    8 Scottish_Fife @ 4.788291
    9 English_England @ 4.790343
    10 English_Cornwall @ 4.809890
    11 Irish_Leinster @ 5.142554
    12 French_WestFrance @ 5.206490
    13 English_Kent @ 5.216431
    14 Irish_Ulster @ 5.245444
    15 Scottish_Argyll_bute @ 5.366582
    16 Dutch_Netherlands @ 5.393944
    17 Scottish_Borders @ 5.966796
    18 Orcadian_Orkney_Islands @ 6.049401
    19 Hungarian_WestUkraine @ 6.822463
    20 Welsh_Wales @ 7.106174

    Using 2 populations approximation:
    1 50% German_Germany +50% Scottish_Argyll_bute @ 3.688511


    Using 3 populations approximation:
    1 50% Scottish_Argyll_bute +25% Scottish_Argyll_bute +25% Serbian_Serbia @ 3.489050


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
    1 Macedonian_Macedonia + Scottish_Argyll_bute + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.256786
    2 Macedonian_Macedonia + Orcadian_Orkney_Islands + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.325740
    3 English_Kent + Macedonian_Macedonia + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.365863
    4 Italian_Bergamo + Scottish_Argyll_bute + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.370819
    5 Macedonian_Macedonia + Orcadian_Orkney_Islands + Orcadian_Orkney_Islands + Scottish_Argyll_bute @ 3.430085
    6 English_Cornwall + Macedonian_Macedonia + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.433308
    7 Montenegrian_Montenegro + Scottish_Argyll_bute + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.444695
    8 Bulgarian_Bulgaria + Scottish_Argyll_bute + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.458972
    9 English_Kent + Macedonian_Macedonia + Orcadian_Orkney_Islands + Scottish_Argyll_bute @ 3.486064
    10 Scottish_Argyll_bute + Scottish_Argyll_bute + Scottish_Argyll_bute + Serbian_Serbia @ 3.489050
    11 Bulgarian_Bulgaria + Orcadian_Orkney_Islands + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.498940
    12 English_Kent + Montenegrian_Montenegro + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.500297
    13 English_Kent + Scottish_Argyll_bute + Scottish_Argyll_bute + Serbian_Serbia @ 3.521358
    14 Bulgarian_Bulgaria + English_Kent + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.522490
    15 Italian_Bergamo + Orcadian_Orkney_Islands + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.522877
    16 English_Cornwall + Macedonian_Macedonia + Orcadian_Orkney_Islands + Scottish_Argyll_bute @ 3.522966
    17 Montenegrian_Montenegro + Orcadian_Orkney_Islands + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.540721
    18 Irish_Connacht + Macedonian_Macedonia + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.545647
    19 English_Kent + Romanian_Apuseni + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.546848
    20 Romanian_Apuseni + Scottish_Argyll_bute + Scottish_Argyll_bute + Scottish_Argyll_bute @ 3.549585

    ReplyDelete
    Replies
    1. Keep in mind Ireland and Scotland do share a lot of DNA in general because of the Celtic factor. I don't know why the Orkney Islands in particular comes up, that does seem to happen to a lot of people on some calculators so I don't know whether there aren't a lot of other Scottish samples so Orkney is just coming up as a default Scottish result or what. There's an interesting map of a study done - this is nothing to do with Gedmatch's calculators but you can see there seems to be more samples from Orkney than anywhere else in Scotland: https://www.nature.com/articles/s41598-017-17124-4/figures/1

      Delete
  13. Very informative posts, I really appreciate them! I was curious, what does the V in some of the results mean, such as Norwegian_V, German_V, etc... I have it a lot in my results, but can't figure out what it means... Also, do you know of any good listings for the Ancient DNA populations (Halberstadt_LBA, Unetice_EBA, etc...)?

    ReplyDelete
    Replies
    1. I don't know that the _V suffix means anything. Ancient populations can be difficult to identify sometimes but I often have luck just googling it. Unetice EBA for example is from the Unetice culture: https://en.wikipedia.org/wiki/Unetice_culture - EBA probably stands for Early Bronze Age. Likewise, I think LBA is Late Bronze Age. Halberstadt is a town in Germany so I'm guessing it's a Germanic population.

      Delete
  14. Hi there, I was hoping you could help me interpret these results I got using Oracle-4 on both Eurogenes K13 and Eurogenes K15 V2. I should start by saying I only know my maternal ancestry, I’ve never met my Father and know nothing about him, my Mom is Mexican on her maternal side, and Irish and Slovakian on her paternal. Though I assume my father is Mexican based off of results I’ve gotten from 23andme and AndestryDNA, which are overwhelmingly a combination of Native American, Iberian and Southern European with splashes of Eastern European and Irish.


    Eurogenes K13 Oracle-4 -
    1 French_Basque + Karitiana + MA-1 + Spanish_Murcia @ 8.196147
    2 French_Basque + Karitiana + MA-1 + Spanish_Aragon @ 8.203712
    3 French_Basque + Karitiana + MA-1 + Spanish_Extremadura @ 8.237047
    4 French_Basque + Karitiana + MA-1 + Spanish_Castilla_La_Mancha @ 8.260269
    5 French_Basque + Karitiana + MA-1 + Spanish_Castilla_Y_Leon @ 8.268596
    6 French_Basque + Karitiana + MA-1 + Spanish_Andalucia @ 8.310597
    7 French_Basque + Karitiana + MA-1 + Spanish_Cantabria @ 8.356516
    8 French_Basque + Karitiana + MA-1 + Portuguese @ 8.393647
    9 French_Basque + Karitiana + MA-1 + Spanish_Valencia @ 8.417511
    10 French_Basque + Karitiana + MA-1 + Spanish_Cataluna @ 8.530128
    11 French_Basque + Karitiana + MA-1 + Southwest_French @ 8.622430
    12 French_Basque + Karitiana + MA-1 + Spanish_Galicia @ 8.627306
    13 Karitiana + MA-1 + Spanish_Aragon + Spanish_Aragon @ 8.785526
    14 Karitiana + MA-1 + Spanish_Aragon + Spanish_Cantabria @ 9.012332
    15 Karitiana + MA-1 + Southwest_French + Spanish_Aragon @ 9.107824
    16 French_Basque + French_Basque + Karitiana + MA-1 @ 9.114201
    17 Karitiana + MA-1 + Spanish_Aragon + Spanish_Castilla_La_Mancha @ 9.115244
    18 French_Basque + Karitiana + MA-1 + North_Italian @ 9.157651
    19 Karitiana + MA-1 + Spanish_Aragon + Spanish_Castilla_Y_Leon @ 9.295511
    20 Karitiana + MA-1 + Spanish_Aragon + Spanish_Murcia @ 9.337770

    Eurogenes K15 V2 Oracle-4 -
    1 French_Basque + Mayan + North_Amerindian + Southwest_English @ 9.115042
    2 French_Basque + Mayan + North_Amerindian + South_Dutch @ 9.245173
    3 French + French_Basque + Mayan + North_Amerindian @ 9.251879
    4 French_Basque + Mayan + North_Amerindian + West_German @ 9.313726
    5 French_Basque + Mayan + North_Amerindian + Southeast_English @ 9.318164
    6 French_Basque + Mayan + North_Amerindian + North_Dutch @ 9.423385
    7 French_Basque + Mayan + North_Amerindian + Orcadian @ 9.467682
    8 Danish + French_Basque + Mayan + North_Amerindian @ 9.469646
    9 French_Basque + Mayan + North_Amerindian + West_Scottish @ 9.493422
    10 Mayan + North_Amerindian + Southwest_English + Spanish_Aragon @ 9.500089
    11 French_Basque + Irish + Mayan + North_Amerindian @ 9.537247
    12 Mayan + North_Amerindian + Southwest_English + Spanish_Cantabria @ 9.537358
    13 French_Basque + Mayan + North_Amerindian + North_German @ 9.548484
    14 Mayan + North_Amerindian + Southwest_English + Southwest_French @ 9.563255
    15 French_Basque + Karitiana + Spanish_Galicia + Tatar @ 9.571370
    16 Karitiana + Spanish_Cantabria + Spanish_Cantabria + Tatar @ 9.616962
    17 Mayan + North_Amerindian + Southwest_English + Spanish_Castilla_La_Mancha @ 9.637214
    18 French_Basque + Karitiana + Portuguese + Tatar @ 9.638605
    19 Mayan + North_Amerindian + Southeast_English + Spanish_Aragon @ 9.687362
    20 Mayan + North_Amerindian + Southeast_English + Spanish_Cantabria @ 9.699474


    Now what I’m confused about is the “French_Basque” showing up seemingly everywhere on both calculators. Assuming I’m about 75% Mexican, I expected to get just different forms of Spanish and Native American, while I do get a lot of Spanish the French_Basque is just bizarre to me.

    Thanks for any insight.

    ReplyDelete
    Replies
    1. Basque is a region that covers both Spain and France so it's not surprising to see someone with Spanish ancestry get results in French Basque. I would imagine is there not much genetic difference between Spanish Basque and French Basque and it looks like K13 and K15 don't have populations specifically for Spanish Basque, only French.

      Delete
  15. Hey so I just did an Oracle test (Gedrosia K3 4-Ancestors Oracle) and I found something a little unusual. In the 3 population approximation I somehow managed to get a perfect distance so, apparently accurate to the dot (0.0000) To put things into perspective, I have known Iranian, Afghani and North Indian ancestry but only upto my great grandparents. Can I consider this test to be as accurate as it's showing (0.0000)? Thanks in advance, I've posted my results below too so you can have a look.

    Gedmatch.Com
    Gedrosia K3 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.

    Eurasia K3 Oracle

    Admix Results (sorted):

    # Population Percent
    1 W_Eurasian 67.33
    2 E_Eurasian 31.48
    3 SSA 1.19


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

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

    Least-squares method.

    Using 1 population approximation:
    1 Uzbek_Afghan @ 0.881407
    2 Kashmiri_Pandit @ 1.082686
    3 Tajik_Afghan @ 1.484093
    4 Turkmen @ 1.859980
    5 Kshatriya @ 2.229972
    6 GujaratiA @ 2.318266
    7 GujaratiB @ 3.139040
    8 UP_Brahmin @ 3.221554
    9 Burusho @ 3.270853
    10 Sindhi @ 5.121041
    11 Vaish @ 5.881636
    12 Kurd_SE @ 6.124152
    13 Punjabi @ 7.707917
    14 Tajik @ 8.404808
    15 Meghawal @ 8.423215
    16 GujaratiC @ 9.007192
    17 Tamil_Brahmin @ 9.007587
    18 Jains @ 9.640062
    19 Pathan @ 9.708171
    20 Turkmen_Afghan @ 9.763894

    Using 2 populations approximation:
    1 50% Balkar +50% Mala @ 0.000000
    2 50% Hazara +50% Kurd_N @ 0.000000
    3 50% Jains +50% Pathan @ 0.000000
    4 50% Kshatriya +50% Turkmen @ 0.000000
    5 50% Meghawal +50% Tajik @ 0.000000
    6 50% GujaratiA +50% Turkmen @ 0.254433
    7 50% Balkar +50% Chenchu @ 0.299187
    8 50% Tajik_Pomiri +50% Velama @ 0.324440
    9 50% Pathan +50% Tamil_Brahmin @ 0.359695
    10 50% GujaratiD +50% Kalash @ 0.380947
    11 50% GujaratiA +50% GujaratiB @ 0.399612
    12 50% Tajik_Pomiri +50% UP_Kol @ 0.406765
    13 50% Kshatriya +50% Tajik_Afghan @ 0.433384
    14 50% Balkar +50% Hallkipiki @ 0.486328
    15 50% GujaratiB +50% Kshatriya @ 0.498310
    16 50% Kshatriya +50% UP_Brahmin @ 0.507929
    17 50% GujaratiC +50% Pathan @ 0.522015
    18 50% Burusho +50% Kshatriya @ 0.537956
    19 50% Punjabi +50% Tajik @ 0.549024
    20 50% Pathan +50% Turkmen_Afghan @ 0.567854


    Using 3 populations approximation:
    1 50% Abkhasian +25% Balochi +25% Nganasan @ 0.000000

    Done.

    Elapsed time 0.0175 seconds.

    ReplyDelete
    Replies
    1. I have experienced this multiple exact matches in Oracle too - for me, it was on MDLP World 4-Ancestors. The top 8 results were exact:

      Using 4 populations approximation:
      1 Croatian_V + Macedonian + CEU + Greek_Cretan @ 0.000000
      2 Jew-Iraqi + Norwegian_V + Basque + Sorb @ 0.000000
      3 Ukrainian-East + Welsh + Italian-South + Greek_South @ 0.000000
      4 Lithuanian_V + German-South + Jew_Azerbaijan + Basque @ 0.000000
      5 Greek_Center + Austrian + Sorb + Greek_South @ 0.000000
      6 Greek_Center + Sorb + German_V + Greek_South @ 0.000000
      7 Slovakian + Greek_North + German_V + Greek_South @ 0.000000
      8 Greek_North + German-South + Polish_V + Greek_South @ 0.000000

      My dad's kit actually get all 20 as an exact match with Dodecad World9:

      Using 4 populations approximation:
      1 British_Dodecad + Armenian_Dodecad + French_Basque + TSI30_Metspalu @ 0.000000
      2 British_Dodecad + Armenian_Dodecad + TSI30_Metspalu + Pais_Vasco_1000 Genomes @ 0.000000
      3 British_Dodecad + French_Basque + Iraq_Jews_Behar + Bulgarians_Yunusbayev @ 0.000000
      4 Armenian_Dodecad + British_Isles_Dodecad + North_Italian_HGDP + Aragon_1000 Genomes @ 0.000000
      5 Armenian_Dodecad + British_Isles_Dodecad + Tuscan_HGDP + Pais_Vasco_1000 Genomes @ 0.000000
      6 Armenian_Dodecad + French_Basque + North_Italian_HGDP + Hungarians_Behar @ 0.000000
      7 Armenian_Dodecad + North_Italian_HGDP + Hungarians_Behar + Pais_Vasco_1000 Genomes @ 0.000000
      8 Polish_Dodecad + French_Dodecad + C_Italian_Dodecad + Cypriots_Behar @ 0.000000
      9 Polish_Dodecad + Orcadian_HGDP + TSI30_Metspalu + Samaritians_Behar @ 0.000000
      10 Polish_Dodecad + Tuscan_HGDP + Samaritians_Behar + Orkney_1000 Genomes @ 0.000000
      11 Polish_Dodecad + TSI30_Metspalu + Samaritians_Behar + Orkney_1000 Genomes @ 0.000000
      12 Greek_Dodecad + C_Italian_Dodecad + Tuscan_HGDP + Belorussian_Behar @ 0.000000
      13 Greek_Dodecad + C_Italian_Dodecad + TSI30_Metspalu + Belorussian_Behar @ 0.000000
      14 Greek_Dodecad + S_Italian_Sicilian_Dodecad + N_Italian_Dodecad + Belorussian_Behar @ 0.000000
      15 Greek_Dodecad + S_Italian_Sicilian_Dodecad + North_Italian_HGDP + Belorussian_Behar @ 0.000000
      16 Greek_Dodecad + Lithuanian_Dodecad + Cypriots_Behar + Cataluna_1000 Genomes @ 0.000000
      17 German_Dodecad + French_Dodecad + Iraq_Jews_Behar + Baleares_1000 Genomes @ 0.000000
      18 German_Dodecad + Bulgarian_Dodecad + S_Italian_Dodecad + Tuscan_HGDP @ 0.000000
      19 Assyrian_Dodecad + Norwegian_Dodecad + North_Italian_HGDP + Valencia_1000 Genomes @ 0.000000
      20 Assyrian_Dodecad + N_Italian_Dodecad + Orkney_1000 Genomes + Cantabria_1000 Genomes @ 0.000000

      I do not know what causes it but I do believe it to be some kind of error so I wouldn't take it seriously.

      Delete
  16. I want to share my results with everyone here. I am still doing my best to interpret what they mean. It appears that the 58% Native American result (27.9 Mesoamerican + 20.4 North-Amerind + 1.06 Arctic Amerind + 8.57 South-America_Amerind) from AncestryDNA were fairly spot on, albeit very vague. It's interesting to note that I am getting results from every region. When you go into the 1-4 population sections its both bewildering and frustrating since I do not know what to make of it. Single population shows I am closest to Serrano Indigenious tribe, 2nd and 3rd show Colombian with some Native. When you get to the 4th population approximation it's just so daunting a chart to look at but I am doing my best. Bit of background, I do not really know my father since he left when I was 1 yr old but I know he is a Mexican from Monterrey Mexico. My mother's parents were Spanish(father) and Mexican (mother). So trying to piece it all together by researching all that I can. Here are my results on GEDMatch. If anyone can help me interpret this better I'd appreciate it.

    Admix Results (sorted):

    # Population Percent
    1 Mesoamerican 27.90
    2 North-Amerind 20.40
    3 Atlantic_Mediterranean_Neolithic 14.00
    4 North-East-European 11.00
    5 South-America_Amerind 8.57
    6 West-Asian 5.89
    7 Sub-Saharian 5.05
    8 Near_East 2.77
    9 North-European-Mesolithic 2.25
    10 Arctic-Amerind 1.06


    Finished reading population data. 276 populations found.
    22 components mode.

    Least-squares method.

    Using 1 population approximation:
    1 Serrano_derived @ 9.065216
    2 Cochimi_derived @ 10.098798
    3 Kumiai_derived @ 16.488319
    4 Mexican_derived @ 16.683249
    5 Miwok_derived @ 17.577337
    6 Colombian_derived @ 20.685240
    7 Cucupa_derived @ 25.047382
    8 Maya_derived @ 26.652044
    9 Apache_derived @ 27.510460
    10 Tsimsian_derived @ 28.426868
    11 Haida_derived @ 30.008102
    12 Luiseno_derived @ 32.305748
    13 Costanoan_derived @ 34.647823
    14 Karitiana_derived @ 36.724911
    15 Mixtec_derived @ 37.278358
    16 Huichol_derived @ 38.092827
    17 Puerto-Rican_derived @ 38.342621
    18 Ste7_derived @ 40.401596
    19 Navajo_derived @ 41.901756
    20 Colville_derived @ 42.324863

    Using 2 populations approximation:
    1 50% Colombian_derived +50% Tsimsian_derived @ 7.722781


    Using 3 populations approximation:
    1 50% Colombian_derived +25% Navajo_derived +25% Romania_derived @ 5.105176


    Using 4 populations approximation:

    1 Cucupa_derived + Karitiana_derived + Lumbee_derived + Tsimsian_derived @ 4.395159
    2 Karitiana_derived + Miwok_derived + Serrano_derived + Tsimsian_derived @ 4.602204
    3 Apache_derived + Karitiana_derived + Lumbee_derived + Serrano_derived @ 4.726763
    4 Cucupa_derived + Haida_derived + Karitiana_derived + Lumbee_derived @ 4.804433
    5 Haida_derived + Karitiana_derived + Puerto-Rican_derived + Serrano_derived @ 4.838128
    6 Karitiana_derived + Luiseno_derived + Lumbee_derived + Tsimsian_derived @ 4.886752
    7 Apache_derived + Karitiana_derived + Miwok_derived + Puerto-Rican_derived @ 4.888159
    8 Karitiana_derived + Lumbee_derived + Maya_derived + Tsimsian_derived @ 4.904471
    9 Apache_derived + Karitiana_derived + Lumbee_derived + Mexican_derived @ 5.007121
    10 Colombian_derived + Colombian_derived + Navajo_derived + Romania_derived @ 5.105176
    11 Apache_derived + Karitiana_derived + Romania_derived + Serrano_derived @ 5.163512
    12 Karitiana_derived + Maya_derived + Puerto-Rican_derived + Tsimsian_derived @ 5.166203
    13 Colombian_derived + Colombian_derived + Gagauz_derived + Navajo_derived @ 5.196326
    14 Karitiana_derived + Luiseno_derived + Puerto-Rican_derived + Tsimsian_derived @ 5.202009
    15 Karitiana_derived + Mexican_derived + Serrano_derived + Tsimsian_derived @ 5.207988
    16 Haida_derived + Karitiana_derived + Kumiai_derived + Lumbee_derived @ 5.225438
    17 Apache_derived + Karitiana_derived + Lumbee_derived + Miwok_derived @ 5.247463
    18 Colombian_derived + Haida_derived + Lumbee_derived + Mixtec_derived @ 5.256761
    19 Karitiana_derived + Miwok_derived + Navajo_derived + Puerto-Rican_derived @ 5.262152
    20 Colombian_derived + Colombian_derived + Greek_North_derived + Navajo_derived @ 5.336172

    ReplyDelete
  17. Which is/are the best admixtures to use for someone of African and European ancestry?

    ReplyDelete
    Replies
    1. There's a number of options for mixed ancestry but I can't really recommend any myself since I'm not of mixed ancestry. If you have a look through my list of populations for admixture and oracle, you can see which ones have the most populations or breakdown to the parts of your world you're looking for: https://docs.google.com/spreadsheets/d/e/2PACX-1vQyi9kkGOYOlKIKdoweLNTXNBXpYr_JpcBXUS5L2Yj-f5NE7GSoRJT-yRc-YWKbcK5XpmWH0Iv82Hcf/pubhtml

      Delete
  18. Being from a closed adoption and having absolutely no idea about my birth family's ethnicity or history I've taken to GEDmatch and Ancestry to help and figure it out. I was wondering if you could help me with understanding my results?

    Admix Results (sorted):
    # Population Percent
    1 North_Atlantic 50.20
    2 Baltic 26.97
    3 West_Med 10.87
    4 West_Asian 4.46
    5 East_Med 4.01
    6 South_Asian 2.54


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

    --------------------------------
    Least-squares method.

    Using 1 population approximation:
    1 Danish @ 1.611151
    2 North_Dutch @ 2.798172
    3 Norwegian @ 4.051395
    4 Orcadian @ 4.081351
    5 North_German @ 4.368045
    6 Southeast_English @ 5.217203
    7 Irish @ 5.383809
    8 West_Scottish @ 5.800282
    9 Swedish @ 5.885638
    10 Southwest_English @ 7.114645
    11 South_Dutch @ 9.796807
    12 West_German @ 10.749502
    13 North_Swedish @ 12.356176
    14 East_German @ 14.736027
    15 Austrian @ 14.897326
    16 French @ 16.502123
    17 Hungarian @ 19.883039
    18 Southwest_Finnish @ 21.500778
    19 Spanish_Cataluna @ 24.737583
    20 South_Polish @ 24.914467

    Using 2 populations approximation:
    1 50% Danish +50% Danish @ 1.611151

    Using 3 populations approximation:
    1 50% Danish +25% Danish +25% Danish @ 1.611151

    Using 4 populations approximation:
    +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
    1 Danish + Danish + Danish + Danish @ 1.611151
    2 Danish + Danish + Southeast_English + Swedish @ 1.669565
    3 Danish + Danish + Norwegian + Southeast_English @ 1.844109
    4 Danish + Danish + Danish + North_Dutch @ 1.844162
    5 Danish + Danish + Danish + Orcadian @ 1.851322
    6 Danish + Danish + Danish + Southeast_English @ 1.865397
    7 Danish + Danish + Danish + Norwegian @ 1.977382
    8 Danish + North_Dutch + Southeast_English + Swedish @ 1.984787
    9 Danish + Danish + Orcadian + Swedish @ 2.046821
    10 Danish + Orcadian + Southeast_English + Swedish @ 2.053546
    11 Danish + Southeast_English + Southeast_English + Swedish @ 2.060690
    12 Danish + North_Swedish + Southeast_English + West_Scottish @ 2.075800
    13 Danish + Danish + Southwest_English + Swedish @ 2.089509
    14 Danish + North_German + Norwegian + Southeast_English @ 2.101689
    15 Danish + Danish + North_German + Orcadian @ 2.106772
    16 Danish + North_Swedish + Southeast_English + Southeast_English @ 2.117077
    17 Danish + Danish + Danish + North_German @ 2.119485
    18 Danish + Danish + North_Dutch + Southeast_English @ 2.138772
    19 Danish + Norwegian + Southeast_English + Swedish @ 2.139995
    20 Danish + Danish + Norwegian + Orcadian @ 2.145315

    ReplyDelete
    Replies
    1. It looks like this is Eurogenes, either K13 or K15? The admixture seems to think you are primarily Northwest European and Eastern European. The rest aren't necessarily in high enough numbers to put much stock in (for example, the Irish and some Scottish populations in K13 get about 12% in West Med, so 10.87% might not mean anything). Oracle seems to have a lot of Danish and a good deal of Southeast English. Maybe there's something to that, maybe not - as discussed, K13 was very far off the mark for me in Oracle. It really depends on the individual which calculator will be best or most accurate, which is why it's a bit of a guessing game for adoptees, unfortunately.

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    2. Easy. Your'e a dane. No question about it.

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  19. Hi. I was really surprised when I ran the World9 4-Ancestors Oracle and came up with all these mentions of Brazil! My ancestry is mainly Spain, Northern Italy and Venezuela. Any ideas?

    Using 4 populations approximation:
    +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
    1 French_Dodecad + Brazilian_Dodecad + Murcia_1000 Genomes + Baleares_1000 Genomes @ 1.084109
    2 Brazilian_Dodecad + French_HGDP + Murcia_1000 Genomes + Baleares_1000 Genomes @ 1.132044
    3 Brazilian_Dodecad + French_HGDP + Andalucia_1000 Genomes + Murcia_1000 Genomes @ 1.175255
    4 Spanish_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad + Cataluna_1000 Genomes @ 1.190037
    5 Brazilian_Dodecad + French_HGDP + Murcia_1000 Genomes + Murcia_1000 Genomes @ 1.201822
    6 Brazilian_Dodecad + French_Basque + Romanians_Behar + Murcia_1000 Genomes @ 1.208743
    7 Brazilian_Dodecad + French_HGDP + Murcia_1000 Genomes + Extremadura_1000 Genomes @ 1.208863
    8 Brazilian_Dodecad + French_HGDP + Canarias_1000 Genomes + Baleares_1000 Genomes @ 1.223825
    9 Brazilian_Dodecad + French_Basque + Murcia_1000 Genomes + Bulgarians_Yunusbayev @ 1.237653
    10 Brazilian_Dodecad + Murcia_1000 Genomes + Pais_Vasco_1000 Genomes + Bulgarians_Yunusbayev @ 1.251746
    11 Brazilian_Dodecad + N_Italian_Dodecad + Valencia_1000 Genomes + Cataluna_1000 Genomes @ 1.258469
    12 Brazilian_Dodecad + N_Italian_Dodecad + Cataluna_1000 Genomes + Castilla_La_Mancha_1000 Genomes @ 1.263347
    13 Brazilian_Dodecad + North_Italian_HGDP + Cataluna_1000 Genomes + Cataluna_1000 Genomes @ 1.277922
    14 Portuguese_Dodecad + Brazilian_Dodecad + French_Basque + Romanians_Behar @ 1.282351
    15 French_Dodecad + Brazilian_Dodecad + Canarias_1000 Genomes + Baleares_1000 Genomes @ 1.289507
    16 Portuguese_Dodecad + Brazilian_Dodecad + French_HGDP + Murcia_1000 Genomes @ 1.291935
    17 Brazilian_Dodecad + Romanians_Behar + Murcia_1000 Genomes + Pais_Vasco_1000 Genomes @ 1.293122
    18 Brazilian_Dodecad + N_Italian_Dodecad + Cataluna_1000 Genomes + Castilla_Y_Leon_1000 Genomes @ 1.298530
    19 Spanish_Dodecad + Spanish_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad @ 1.299712
    20 Spanish_Dodecad + Brazilian_Dodecad + North_Italian_HGDP + Cataluna_1000 Genomes @ 1.304226

    Thanks beforehand!

    ReplyDelete
    Replies
    1. According to Dodecad World9's spreadsheet, this calculator has no populations from Venezuela that I could find. Given the proximity of Venezuela and Brazil, and the fact that they both have had lots of immigration from Spain and Italy (where you also have ancestry), the Brazilian population must have been the closest thing to Venezuelan.

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  20. I am blond haired, blue eyed, tall, and im very sure my birth parents come from Denmark. I was shocked to see no scandinavian, but irish, orkney and english. Help? Thanks.

    ReplyDelete
    Replies
    1. All those populations share a lot of DNA with Scandinavians. Which calculator are you using? Try another one.

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    2. Hi, love the blog! Just thought I'd stop by and share my results, because my DNA is something I enjoy playing around with and I'd be interested in seeing how you'd interpret my data. From what I know about my ancestry, I'm at least 1/4 Lemko-Ukrainian through my mother's maternal side and many of my mother's paternal ancestors coming from Fohr in Germany and, like her maternal side, Austria-Hungary. Father's side is a little mixed.

      K13 Oracle ref data revised 21 Nov 2013

      Admix Results (sorted):

      # Population Percent
      1 North_Atlantic 38.86
      2 Baltic 29.91
      3 West_Med 10.68
      4 West_Asian 7.76
      5 East_Med 5.85
      6 Red_Sea 3.64


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

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

      Least-squares method.

      Using 1 population approximation:
      1 Austrian @ 5.426029
      2 East_German @ 5.829434
      3 Hungarian @ 8.744155
      4 North_German @ 9.338254
      5 West_German @ 10.372169
      6 South_Dutch @ 11.377219
      7 Swedish @ 11.621182
      8 North_Swedish @ 12.024312
      9 Danish @ 12.589952
      10 North_Dutch @ 12.872681
      11 Norwegian @ 13.649726
      12 Croatian @ 14.382833
      13 Southeast_English @ 14.695022
      14 Orcadian @ 14.872190
      15 South_Polish @ 15.115660
      16 Irish @ 15.704464
      17 Moldavian @ 16.494383
      18 Serbian @ 16.518885
      19 French @ 16.602083
      20 Southwest_English @ 16.709972

      Using 2 populations approximation:
      1 50% Hungarian +50% North_German @ 3.428440


      Using 3 populations approximation:
      1 50% Irish +25% Serbian +25% Ukrainian_Belgorod @ 3.080958


      Using 4 populations approximation:
      +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
      1 Irish + Irish + Serbian + Ukrainian_Belgorod @ 3.080958
      2 Irish + Serbian + Ukrainian_Belgorod + West_Scottish @ 3.098132
      3 Irish + North_German + Serbian + Ukrainian_Lviv @ 3.165206
      4 North_Dutch + Serbian + Ukrainian_Belgorod + West_Scottish @ 3.169815
      5 Irish + North_Dutch + Serbian + Ukrainian_Belgorod @ 3.178462
      6 Irish + Irish + Romanian + Russian_Smolensk @ 3.191480
      7 Serbian + Ukrainian_Belgorod + West_Scottish + West_Scottish @ 3.191847
      8 North_German + Serbian + Ukrainian_Lviv + West_Scottish @ 3.194388
      9 Irish + North_Dutch + Romanian + Russian_Smolensk @ 3.201313
      10 Irish + North_German + Polish + Serbian @ 3.201885
      11 North_Dutch + Romanian + Russian_Smolensk + West_Scottish @ 3.214566
      12 Irish + Norwegian + Serbian + Ukrainian_Lviv @ 3.239085
      13 Hungarian + Moldavian + North_German + Norwegian @ 3.239196
      14 North_German + Polish + Serbian + West_Scottish @ 3.242832
      15 Austrian + Moldavian + North_German + Swedish @ 3.252551
      16 Irish + Romanian + Russian_Smolensk + West_Scottish @ 3.254149
      17 North_Dutch + Norwegian + Serbian + Ukrainian_Lviv @ 3.259278
      18 Irish + Irish + Serbian + Southwest_Russian @ 3.259731
      19 North_Dutch + North_Dutch + Serbian + Ukrainian_Lviv @ 3.260238
      20 North_German + Russian_Smolensk + Serbian + West_Scottish @ 3.268440

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