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 |
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 |
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 |
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.
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
ReplyDeleteAdmix 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!
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?
DeleteMy Eurogenes EUtest V2 K15 Oracle results are:
Delete1.Polish @ 3.42
2. Belorussian @ 4.87
3. Estonian_Polish @ 4.89
4. Ukrainian @ 5.41
5. Estonian @ 5.5
6. South_Polish @ 5.57
7. Russian_Smolensk @ 5.87
8. Southwest_Russian @ 6.27
9. Ukrainian_Lviv 6.88
10. Ukrainian_Belgorod @ 7.27
11. Lithuanian @ 7.29
12. Kargopol_Russia @ 9.77
13. Finnish @ 11.17
14. East_Finnish @ 11.2
15. Southwest Finnish @ 11.83
16. Croatian @ 11.91
17.Erzya @ 12.37
18. Hungarian @ 13.51
19. Moldavian @ 14.27
20. East_German @ 14.53
It's interesting to learn more about Oracle.
ReplyDeleteHow 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. :)
ReplyDeleteYou 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.
DeleteAwesome! thanks! :)
DeleteI 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?
DeleteGJ, 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).
DeleteWas 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?
ReplyDeleteThere 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.
DeleteI 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.
ReplyDeleteMy 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!
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.
DeleteHello, 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?
ReplyDeleteUsing 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.
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.
DeleteThank 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.
ReplyDeleteThe 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).
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.
DeleteThe Orkney samples being most similar to Southern Ireland might have to do with Viking influences.
Hi. Please, can you help me analyze these results, I will be very grateful.
ReplyDeleteFor 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
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.
DeleteI think I'm following all of this, but I can't seem to figure out a few abbreviations. UA and PL
ReplyDeleteUsing 1 population approximation:
1 UA @ 3.925877
2 PL @ 4.353597
Help?
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/
DeleteI 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.
ReplyDeleteUsing 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.
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:
DeleteMy 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
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.
ReplyDeleteUsing 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
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
DeleteVery 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...)?
ReplyDeleteI 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.
DeleteHi 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.
ReplyDeleteEurogenes 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.
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.
DeleteHey 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.
ReplyDeleteGedmatch.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.
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:
DeleteUsing 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.
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.
ReplyDeleteAdmix 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
Which is/are the best admixtures to use for someone of African and European ancestry?
ReplyDeleteThere'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
DeleteBeing 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?
ReplyDeleteAdmix 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
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.
DeleteEasy. Your'e a dane. No question about it.
DeleteHi. 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?
ReplyDeleteUsing 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!
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.
DeleteI 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.
ReplyDeleteAll those populations share a lot of DNA with Scandinavians. Which calculator are you using? Try another one.
DeleteI used the Eurogenes K15 and it was pretty accurate for what I know to be true.My father is mainly of British/German ancestry while my mother is half Portuguese with most of the rest of her ancestry coming from Great Britain, with a smidge of Swedish.I was shocked to see just how accurate it was by mostly showing spanish_galicia and spanish_castilayleon the two areas of Spain closest to Portugal.Anyway here are my results.
ReplyDeleteUsing 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 Hungarian + Irish + Orcadian + Spanish_Galicia @ 1.406457
2 North_German + South_Dutch + Spanish_Galicia + Swedish @ 1.586184
3 Hungarian + Orcadian + Spanish_Galicia + West_Scottish @ 1.603845
4 East_German + North_Dutch + North_Dutch + Spanish_Galicia @ 1.657614
5 Hungarian + North_Dutch + Orcadian + Spanish_Castilla_Y_Leon @ 1.661819
6 Hungarian + North_Dutch + Orcadian + Spanish_Galicia @ 1.664212
7 East_German + Irish + North_Dutch + Spanish_Galicia @ 1.688242
8 Hungarian + Irish + Spanish_Galicia + West_Scottish @ 1.714280
9 Hungarian + Irish + North_Dutch + Spanish_Galicia @ 1.714749
10 Hungarian + North_Dutch + Spanish_Galicia + West_Scottish @ 1.730218
11 Hungarian + Orcadian + Spanish_Castilla_Y_Leon + West_Norwegian @ 1.756183
12 Hungarian + Irish + Irish + Spanish_Galicia @ 1.769434
13 East_German + North_Dutch + North_Dutch + Portuguese @ 1.775821
14 French + Spanish_Castilla_Y_Leon + Swedish + Swedish @ 1.776278
15 Hungarian + Spanish_Galicia + West_Scottish + West_Scottish @ 1.784665
16 North_German + Spanish_Castilla_Y_Leon + Swedish + West_German @ 1.789551
17 Hungarian + Irish + Spanish_Castilla_Y_Leon + West_Norwegian @ 1.802024
18 Hungarian + Norwegian + Orcadian + Spanish_Castilla_Y_Leon @ 1.828773
19 East_German + North_German + Orcadian + Spanish_Galicia @ 1.846130
20 East_German + North_Dutch + Spanish_Galicia + West_Scottish @ 1.851669
I took a DNA test with myheritage and I came up to be 8% Greek. The most accurate calculator for me at GEDmatch is MDLP-World and it tells me that I am 31,4% Southhern and Western European. Also, using other calculaters, I score fairly high in Southern European when MyHeritage said I am only 8% Southern European. What does this mean!
ReplyDeleteHi, I have been trying to fathom out my results and I am totally confused if you can possibly help me please? I dont understand why I have norwegian and dutch as I dont have any of it in my family tree. The south west england definately ties in with most of my dads side of the family except my 4th great grandad who I cannot find at all. Thank you.
ReplyDeleteEurogenes 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 47.97
2 Baltic 23.39
3 West_Med 14.34
4 West_Asian 6.05
5 East_Med 4.86
6 Red_Sea 1.57
7 Siberian 1.22
Finished reading population data. 204 populations found.
13 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Southeast_English @ 3.823181
2 South_Dutch @ 4.735721
3 Orcadian @ 5.026008
4 Southwest_English @ 5.210340
5 North_Dutch @ 5.622113
6 Danish @ 6.145484
7 North_German @ 6.173356
8 Irish @ 6.197734
9 West_German @ 6.421950
10 West_Scottish @ 6.663657
11 Norwegian @ 8.352817
12 Swedish @ 10.082585
13 French @ 11.193120
14 Austrian @ 13.128229
15 East_German @ 14.015527
16 North_Swedish @ 15.977649
17 Hungarian @ 18.604383
18 Spanish_Cataluna @ 19.517950
19 Southwest_French @ 20.719656
20 Spanish_Castilla_Y_Leon @ 20.720877
Using 2 populations approximation:
1 50% Orcadian +50% South_Dutch @ 1.490899
Using 3 populations approximation:
1 50% Orcadian +25% South_Dutch +25% South_Dutch @ 1.490899
Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 Norwegian + South_Dutch + South_Dutch + Southwest_English @ 1.371853
2 North_Dutch + South_Dutch + South_Dutch + Southwest_English @ 1.376286
3 Irish + Orcadian + South_Dutch + South_Dutch @ 1.422513
4 North_Dutch + South_Dutch + South_Dutch + West_Scottish @ 1.461930
5 Orcadian + Orcadian + South_Dutch + South_Dutch @ 1.490899
6 North_Dutch + Orcadian + South_Dutch + South_Dutch @ 1.494174
7 French + Irish + Norwegian + South_Dutch @ 1.508017
8 French + Norwegian + South_Dutch + West_Scottish @ 1.535571
9 Irish + North_Dutch + South_Dutch + South_Dutch @ 1.542550
10 Orcadian + South_Dutch + South_Dutch + West_Scottish @ 1.547482
11 North_German + Norwegian + Norwegian + Spanish_Castilla_La_Mancha @ 1.555761
12 Norwegian + South_Dutch + Southwest_English + West_German @ 1.559792
13 North_Dutch + Norwegian + Norwegian + Spanish_Extremadura @ 1.578887
14 Norwegian + Norwegian + Norwegian + Spanish_Andalucia @ 1.580681
15 North_Dutch + South_Dutch + Southwest_English + West_German @ 1.599499
16 Orcadian + South_Dutch + West_German + West_Scottish @ 1.605327
17 Irish + Orcadian + South_Dutch + West_German @ 1.623218
18 Danish + South_Dutch + South_Dutch + Southwest_English @ 1.631496
19 French + North_Dutch + North_German + Southwest_English @ 1.636707
20 French + Norwegian + Orcadian + South_Dutch @ 1.637858
Done.
Elapsed time 1.2793 seconds.
At Gedmatch Genesis, I recently ran my daughter-in-law's kit through their Admixture/Oracle utility using the Gedrosia K3 and K6 with Oracle. I'm unsure how to weigh or interpret the results
ReplyDeleteMy daughter-in-law is a native of Taiwan and has always assumed her heritage to be Han Chinese on both her paternal and maternal sides.
However both of these Oracle results suggest substantial amounts of aboriginal Taiwanese Ami, with Naga and/or Nganasan in her genome.
The Ami are a Taiwanese aboriginal tribe while the Naga are aboriginal to Myanmar and NE India while the Han are relatively recent arrivals to Taiwan.
I realize admixture estimate are not at all absolute and that Asian population are not nearly as well represented as are Europeans but I'm wondering just how robust I can expect these results to be and how much confidence we should place in them, whether any potential Ami or other aboriginal component of her ancestry is worth seriously investigating further.
I particular, I be interested to know if the Ami, Naga and Nganasan populations upon which these Oracle comparisons to her kit are based are reasonably large or do they only consists of a few individuals? Who supplies this reference population data?
I've copied her K3 & K6 Oracle results below.
Note that the minimum distance 0.00 is achieved with K3 Oracle Using 3 populations approximation. This is considerably smaller than the next closet population combination. 1 50% Ami +25% Ami +25% Nganasan @ 0.000000
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 E_Eurasian 99.20
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Ulchi @ 0.882961
2 Han @ 1.051440
3 Dai @ 1.090390
4 Ami @ 1.090457
5 Nivkh @ 1.090457
6 Subba @ 2.083881
7 Tibet-refugees @ 3.880475
8 Nganasan @ 4.179204
9 Mongola @ 5.207026
10 Changapa @ 10.176497
11 Thai @ 10.893094
12 Sherpa @ 17.795630
13 Yukagir @ 23.566416
14 Yukagir @ 23.566416
15 Onge @ 31.259438
16 Altaian @ 34.983494
17 Kharia @ 37.623989
18 Great_Andamanese @ 38.234982
19 Birhor @ 39.502415
20 Kyrgyz @ 41.478413
Using 2 populations approximation:
1 50% Ami +50% Subba @ 0.496868
2 50% Nivkh +50% Subba @ 0.496868
3 50% Dai +50% Subba @ 0.496900
4 50% Han +50% Subba @ 0.516385
5 50% Subba +50% Ulchi @ 0.600672
6 50% Ulchi +50% Ulchi @ 0.882961
7 50% Han +50% Ulchi @ 0.967194
8 50% Dai +50% Ulchi @ 0.986673
9 50% Ami +50% Ulchi @ 0.986706
10 50% Nivkh +50% Ulchi @ 0.986706
11 50% Han +50% Han @ 1.051440
12 50% Dai +50% Han @ 1.070915
13 50% Ami +50% Han @ 1.070948
14 50% Han +50% Nivkh @ 1.070948
15 50% Dai +50% Dai @ 1.090390
16 50% Ami +50% Dai @ 1.090424
17 50% Dai +50% Nivkh @ 1.090424
18 50% Ami +50% Ami @ 1.090457
19 50% Ami +50% Nivkh @ 1.090457
20 50% Nivkh +50% Nivkh @ 1.090457
Using 3 populations approximation:
1 50% Ami +25% Ami +25% Nganasan @ 0.000000
hello. i am trying to understand the distance thing here. i have affirmed part of my ethnicity by the history of my northern italian ancestors who were actually moroccan spanish italian jews of bassano del grappa italy and imported to england as musicians for king henry the 8th as woodwind instrument makers. the history on them is well documented so i see what is recognizable about them in the places mentioned but don't understand what the distance numbers mean. would you mind interpreting this a little for me? thank you! --
ReplyDeleteEurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013
Kit LD8243714
Admix Results (sorted):
# Population Percent
1 North_Atlantic 52.52
2 Baltic 20.54
3 West_Med 12.68
4 East_Med 6.17
5 West_Asian 4.74
6 Amerindian 1.59
7 Red_Sea 1.25
8 Sub-Saharan 0.3
9 Oceanian 0.21
Single Population Sharing:
# Population (source) Distance
1 Southeast_English 3.86
2 Southwest_English 4.42
3 West_Scottish 4.88
4 Orcadian 5.15
5 Irish 5.45
6 North_Dutch 6.52
7 Danish 7
8 South_Dutch 7.97
9 North_German 8.56
10 Norwegian 8.7
11 West_German 9.09
12 Swedish 11.37
13 French 11.71
14 Austrian 16.08
15 East_German 16.96
16 North_Swedish 17.29
17 Spanish_Cataluna 18.19
18 Spanish_Castilla_Y_Leon 19.24
19 Southwest_French 19.8
20 Spanish_Cantabria 19.95
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 92.6% West_Scottish + 7.4% Italian_Jewish @ 3.2
2 92.7% West_Scottish + 7.3% Sephardic_Jewish @ 3.28
3 93.3% West_Scottish + 6.7% Tunisian_Jewish @ 3.28
4 84.9% West_Scottish + 15.1% Spanish_Murcia @ 3.29
5 93.4% West_Scottish + 6.6% Libyan_Jewish @ 3.32
6 93.1% West_Scottish + 6.9% Algerian_Jewish @ 3.37
7 89.7% West_Scottish + 10.3% Tuscan @ 3.41
8 85.5% West_Scottish + 14.5% Spanish_Valencia @ 3.41
9 95.2% West_Scottish + 4.8% Yemenite_Jewish @ 3.45
10 91.4% West_Scottish + 8.6% West_Sicilian @ 3.45
11 85.1% West_Scottish + 14.9% Portuguese @ 3.46
12 84.6% West_Scottish + 15.4% Spanish_Castilla_Y_Leon @ 3.47
13 83.9% West_Scottish + 16.1% Spanish_Cataluna @ 3.47
14 94.6% West_Scottish + 5.4% Lebanese_Druze @ 3.48
15 86.2% West_Scottish + 13.8% Spanish_Extremadura @ 3.5
16 92.5% West_Scottish + 7.5% Ashkenazi @ 3.51
17 88.3% West_Scottish + 11.7% North_Italian @ 3.53
18 94.8% West_Scottish + 5.2% Lebanese_Christian @ 3.53
19 76.8% West_Scottish + 23.2% French @ 3.54
20 92.6% West_Scottish + 7.4% South_Italian @ 3.54
The distance number is how closely (or distantly) you match that population. So the closer the number is to 0, the more closely you match that group.
DeleteHello! I uploaded my DNA raw data file to GedMatch and I have some doubts I couldn't solve after researching in some forums and blogs. I am Spanish but I don't look like typical spanish (Very tall, pale, clear eyes).
ReplyDeleteThere is a great percentage of North European genes in my results (40% to 60%) And I have some questions.
What means North_Atlantic in K13?
Western_European and North_Sea in K12?
And finally North_European in K9b?
Thanks and regards.
The spreadsheets are where you want to look to see what areas a certain category peaks in. Populations that get the highest results in North Atlantic for K13:
DeleteWest_Scottish
French_Basque
Irish
Southwest_English
Orcadian
Norwegian
Southeast_English
North_Dutch
Danish
Swedish
North_German
South_Dutch
North_Swedish
Spanish_Aragon
West_German
French
Southwest_French
Spanish_Cantabria
Spanish_Cataluna
Spanish_Castilla_La_Mancha
Spanish_Castilla_Y_Leon
Spanish_Valencia
Spanish_Murcia
Spanish_Andalucia
Portuguese
Spanish_Galicia
Spanish_Extremadura
East_German
Austrian
Hungarian
North_Italian
So it's not unusual to be Spanish and get high results in this category.
Unfortunately there's no spreadsheet for K12 but Western Europe probably covers everything west of roughly Poland - there does not seem to be any separate category for Iberian so I would guess it's included in Western Europe. North Sea is areas that border the North Sea - Scandinavia, British Isles, possibly north/central Europe like Germany, Netherland, Belgium. That means there is likely overlap between the two regions (both probably covering some of the British Isles and north/central Europe).
North European in K9b is a very broad area - basically all of Europe which doesn't border the Mediterranean, but may also include northern parts of Spain and France. Hard to say with no spreadsheet.
But if you think your ancestry is not what you thought it was (like there might be a non-paternity event somewhere), it's best to explore this with your DNA matches, not with ethnicity.
Well, I am so tall and pale for being Spanish. Only wanted to know which areas covers that DNA. I've uploaded my DNA raw data to DNA.LAND and also shows great percentage from Scotland/Norway/Denmark. So I think it's Ok :)
DeleteThanks so much for helping
DeleteHey History Chick!
ReplyDeleteYour blog is quite intriguing and has provided a lot of information for my genetic research. As the daughter of an adoptee, GEDMatch has been an amazing tool for me to figure out my heritage. However, the only part I would disagree with you on is your Jewish Oracle results. If you’re constantly getting results like Italian-Jewish and Kurdish-Jewish, it’s probably likely that you had a Sephardic or Italkian (Romanioteh great grandparent. If your dad’s getting half Lebanese, that’s a strong sign his Italian side had a good amount of Jewish admixture. There were a lot of crypto-Jews in southern Italy who outwardly practiced Catholicism to avoid the stigma. It’s pretty common in Sicily and Calabria, and I’m doing research on Jews in Abruzzo with another guy who has ancestry from the same province as me. I had one great grandpa from Abruzzo and I’m pretty sure his family was Sephardic and Italkian-Romaniote Jewish based on the names I’ve found in the family tree and based on my DNA results.
This is what I got in Eurogenes K13.
1 78.1% Orcadian + 21.9% Italian_Jewish @ 1.7
2 83.3% Southeast_English + 16.7% Tunisian_Jewish @ 1.79
3 81.9% Southeast_English + 18.1% Sephardic_Jewish @ 1.83
4 83.5% Southeast_English + 16.5% Libyan_Jewish @ 1.96
5 82% Southeast_English + 18% Italian_Jewish @ 1.96
6 78.1% Orcadian + 21.9% Sephardic_Jewish @ 2.02
7 79.8% Orcadian + 20.2% Tunisian_Jewish @ 2.07
8 86.3% Southeast_English + 13.7% Samaritan @ 2.1
9 82.5% Southeast_English + 17.5% Algerian_Jewish @ 2.12
10 78.8% Orcadian + 21.2% Algerian_Jewish @ 2.14
11 77.2% Southwest_English + 22.8% Ashkenazi @ 2.2
12 86.6% Southeast_English + 13.4% Lebanese_Christian @ 2.22
13 80.2% Southeast_English + 19.8% Ashkenazi @ 2.23
14 76.5% West_Scottish + 23.5% Italian_Jewish @ 2.24
15 80% Orcadian + 20% Libyan_Jewish @ 2.28
16 77.5% Southeast_English + 22.5% West_Sicilian @ 2.35
17 74.2% West_Scottish + 25.8% Ashkenazi @ 2.35
18 85% Southeast_English + 15% Cyprian @ 2.37
19 86% Southeast_English + 14% Palestinian @ 2.37
20 73% Orcadian + 27% West_Sicilian
The oracle number is pretty small and it’s pretty consistent, and I’ve noticed we’ve gotten similar results. Most of my European heritage is northwestern European...a mix of Irish and English and Scottish and German.
My dad is not getting "half" Lebanese. In K15 Oracle 4, he is getting several hits for Lebanese Druze, but only in 4 populations - mean 1 out of 4, and not for every result either. Plus, he's really descended from 3 populations (Italian, German, and Scots-Irish) so 4 populations may not be ideal for him. Maybe if he had Jewish results in anything other than Oracle, that would be better evidence of an unidentified Jewish ancestor, but he doesn't. Also, consider the fact that my grandfather, who is not Italian at all (let alone Italian-Jewish), also gets several results for Italian or Italian Jewish or Middle Eastern Jewish populations too. There comes a point when you have to accept that Gedmatch's Admixture/Oracle are not necessarily very reliable and definitely should not be taken too literally.
Deletewhat is your non NW euro ancestry? do you have documented sephardi ancestry?
DeleteGetting ¼ Lebanese-Druze in the Oracle-4 makes more sense. That was a misunderstanding on my part.
ReplyDeleteWhat percentage Jewish does your non-Italian/Jewish grandfather get in the Oracles? Sometimes, in the Oracle-2 populations, people get a large percentage of one ethnicity and a small percentage of another. I’m part English and a lot of my English cousins get something like 95% Southeast English, 5% [insert some type of South Asian].
I’m a mathematician, and something that’s super important in that type of field is looking at the general trend. You can apply that to genetics too. In my case, I do get Jewish, Middle Eastern and North African DNA on the DNA tests I’ve taken. Every company uses a different algorithm so looking and seeing what most websites pick up is important. I think it’s also important to notice what’s strange. As I said before, my Italian ancestors had Sephardic names and I observed some Sephardic naming customs they incorporated. This was proven genetically when I triangulated some of my Italian cousins and I with a Caucasian-Bukharian Jew, so doing genealogical research AND genetic research is important!
I appreciate your response. If there’s no evidence of Jewish ancestry on any site and you lack Jewish (Ashkenazi, Sephardic, Mizrahi, etc.) cousins in your match lists, then you probably inherited a lot of Sicilian DNA since Sicily is very Arab-influenced.
I appreciate your response and insight!
heeeeey History Chick :)
ReplyDeleteThanks so much for this amazing informative blog!! I hope you can help me solve my case...
I have suspicion that my dad is not my biological father after doing the 23andme test.
Ive made now extensive research as to where my family is from. Asking my aunts and uncles etc... to figure out if I have any irish or english blood from my dads side. Turns out I dont!!! NOTHING
On 23andme my results are 95%Irish and english.
My mom is irish, generations over generation from Donegal, Ireland.
My dad is german, but his father has roots in france and my dads mother has slavic roots.
I now have used gedmatch to see if I can see anything pointing out that my dad is my biological father.
These are my results... maybe you can help me make sense of it:
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):
# PopulationPercent1North_Atlantic55.062Baltic18.293West_Med16.194West_Asian6.245Sub-Saharan1.376South_Asian1.08
Finished reading population data. 204 populations found.
13 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Southwest_English @ 5.901795
2 West_Scottish @ 6.971051
3 Irish @ 7.695076
4 Orcadian @ 8.484983
5 Southeast_English @ 8.845730
6 North_Dutch @ 11.154133
7 Danish @ 11.857573
8 Norwegian @ 12.884806
9 South_Dutch @ 13.276841
10 North_German @ 14.032777
11 West_German @ 15.167084
12 Swedish @ 16.069105
13 French @ 16.572716
14 Southwest_French @ 22.120846
15 Spanish_Cataluna @ 22.172979
16 Spanish_Cantabria @ 22.703928
17 Austrian @ 22.825003
18 North_Swedish @ 23.092073
19 Spanish_Castilla_Y_Leon @ 23.299812
20 East_German @ 23.409126
Using 2 populations approximation:
1 50% Southwest_English +50% Southwest_English @ 5.901795
Using 3 populations approximation:
1 50% Danish +25% French_Basque +25% West_Scottish @ 5.672568
Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 French_Basque + West_Scottish + West_Scottish + West_Scottish @ 4.183570
2 French_Basque + Irish + West_Scottish + West_Scottish @ 4.247560
3 French_Basque + Irish + Irish + West_Scottish @ 4.343327
4 French_Basque + Irish + Irish + Irish @ 4.468827
5 French_Basque + Orcadian + West_Scottish + West_Scottish @ 4.632243
6 French_Basque + Norwegian + West_Scottish + West_Scottish @ 4.632916
7 French_Basque + Irish + Orcadian + West_Scottish @ 4.723790
8 French_Basque + North_Dutch + West_Scottish + West_Scottish @ 4.736231
9 French_Basque + Irish + Norwegian + West_Scottish @ 4.762609
10 Danish + French_Basque + West_Scottish + West_Scottish @ 4.794945
11 French_Basque + Southwest_English + West_Scottish + West_Scottish @ 4.819001
12 French_Basque + Irish + Irish + Orcadian @ 4.831809
13 French_Basque + Irish + North_Dutch + West_Scottish @ 4.851551
14 French_Basque + Irish + Southwest_English + West_Scottish @ 4.877324
15 Danish + French_Basque + Irish + West_Scottish @ 4.910023
16 French_Basque + Irish + Irish + Norwegian @ 4.917745
17 French_Basque + Irish + Irish + Southwest_English @ 4.958102
18 French_Basque + Irish + Irish + North_Dutch @ 4.992663
19 Danish + French_Basque + Irish + Irish @ 5.057064
20 French_Basque + Norwegian + Southwest_English + West_Scottish @ 5.089242
Hey there! Just wonder what's your opinion about my Eurogenes K15 Oracle-4 results. I have some exotic results so I have no clue about it. All I know is that I am Romanian + minor Greek(about 1/16, documented).
ReplyDeleteUsing 1 population approximation:
1 Bulgarian @ 10.403139
2 Romanian @ 10.671413
3 Greek_Thessaly @ 10.752908
4 Greek @ 12.293075
5 Serbian @ 13.403764
6 Italian_Abruzzo @ 14.348192
7 Ashkenazi @ 14.594804
8 Tuscan @ 15.258635
9 Central_Greek @ 15.508743
10 East_Sicilian @ 16.245331
11 West_Sicilian @ 16.325384
12 North_Italian @ 18.492636
13 South_Italian @ 18.943312
14 Moldavian @ 19.211279
15 Austrian @ 20.367537
16 Hungarian @ 20.571497
17 Croatian @ 21.411562
18 Italian_Jewish @ 22.812525
19 Sephardic_Jewish @ 23.491671
20 Algerian_Jewish @ 24.404230
Using 2 populations approximation:
1 50% Cyprian +50% Southwest_Finnish @ 6.949448
Using 3 populations approximation:
1 50% Hungarian +25% Iranian_Jewish +25% West_Sicilian @ 5.667601
Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 Estonian + Lebanese_Druze + Spanish_Cataluna + Turkmen @ 4.926133
2 Estonian + Lebanese_Druze + Spanish_Valencia + Turkmen @ 5.100951
3 Estonian + Lebanese_Druze + Spanish_Castilla_Y_Leon + Turkmen @ 5.104672
4 Estonian + Lebanese_Druze + Spanish_Cantabria + Turkmen @ 5.128317
5 Estonian + Lebanese_Druze + Spanish_Aragon + Turkmen @ 5.156375
6 Estonian + Lebanese_Druze + Southwest_French + Turkmen @ 5.170222
7 Afghan_Uzbeki + Estonian + Lebanese_Druze + Spanish_Valencia @ 5.265025
8 Algerian_Jewish + Estonian + Iranian + Spanish_Cataluna @ 5.268933
9 Estonian + Lebanese_Druze + Spanish_Murcia + Turkmen @ 5.270988
10 Afghan_Uzbeki + Lebanese_Druze + Polish + Spanish_Cataluna @ 5.281707
11 Afghan_Tadjik + Estonian + Lebanese_Druze + Spanish_Valencia @ 5.308599
12 Estonian + Iranian + Italian_Jewish + Spanish_Cataluna @ 5.323816
13 Algerian_Jewish + Estonian + French + Kurdish @ 5.338272
14 Lebanese_Druze + Polish + Spanish_Cataluna + Turkmen @ 5.352559
15 Algerian_Jewish + Estonian + French + Iranian @ 5.354352
16 Estonian + Lebanese_Druze + Portuguese + Turkmen @ 5.359007
17 Afghan_Uzbeki + Estonian + Lebanese_Druze + Spanish_Cataluna @ 5.373884
18 Afghan_Uzbeki + Lebanese_Druze + South_Polish + Spanish_Cataluna @ 5.378230
19 Afghan_Uzbeki + Estonian + Lebanese_Druze + Spanish_Aragon @ 5.390997
20 Afghan_Tadjik + Lebanese_Druze + Polish + Spanish_Cataluna @ 5.396595
I was wondering whether K13 Oracle results could be taken literally because it spits out a lot of Jewish for my half-Sicilian mother, as well. Do you know if maybe Sicilian and Sephardic Jewish are just too close for Oracle to tell apart sometimes?
ReplyDeleteK15 Oracle 2 really wants my mother to be Jewish, too (The Orcadian and English would come from her father of mostly British ancestry):
# Primary Population (source) Secondary Population (source) Distance
1 56.7% Orcadian + 43.3% Sephardic_Jewish @ 2.29
2 55.6% Orcadian + 44.4% Italian_Jewish @ 2.89
3 61% Southwest_English + 39% Sephardic_Jewish @ 2.96
4 57.5% Orcadian + 42.5% Algerian_Jewish @ 3.01
5 60.3% Southeast_English + 39.7% Sephardic_Jewish @ 3.06
6 52.7% West_Sicilian + 47.3% Orcadian @ 3.13
7 54.7% Italian_Abruzzo + 45.3% Orcadian @ 3.16
8 56.2% West_Scottish + 43.8% Italian_Jewish @ 3.23
9 57.3% West_Scottish + 42.7% Sephardic_Jewish @ 3.24
10 59.3% Southeast_English + 40.7% Italian_Jewish @ 3.25
11 60.2% Orcadian + 39.8% Tunisian_Jewish @ 3.35
12 64.4% Southwest_English + 35.6% Tunisian_Jewish @ 3.35
13 56.8% Irish + 43.2% Italian_Jewish @ 3.38
14 53% Orcadian + 47% South_Italian @ 3.42
15 60.1% Southwest_English + 39.9% Italian_Jewish @ 3.42
16 70.5% Southwest_English + 29.5% Samaritan @ 3.44
17 71.1% Southwest_English + 28.9% Lebanese_Christian @ 3.45
18 57.9% Irish + 42.1% Sephardic_Jewish @ 3.48
19 81.8% French + 18.2% Lebanese_Druze @ 3.57
20 50.3% Orcadian + 49.7% East_Sicilian @ 3.58
Meanwhile, K15 Oracle 4 seems to insist that my mother is at least part Lebanese Christian and some variant of Spanish:
1 Lebanese_Christian + Orcadian + Orcadian + Spanish_Castilla_La_Mancha @ 2.020851
2 Lebanese_Christian + Orcadian + Orcadian + Spanish_Extremadura @ 2.178809
3 Lebanese_Christian + Orcadian + Orcadian + Spanish_Andalucia @ 2.317269
4 Lebanese_Christian + Orcadian + Orcadian + Spanish_Aragon @ 2.318786
5 Lebanese_Christian + Orcadian + Orcadian + Spanish_Murcia @ 2.366235
6 Lebanese_Christian + Orcadian + Spanish_Extremadura + West_Scottish @ 2.412173
7 Lebanese_Christian + Orcadian + Orcadian + Spanish_Valencia @ 2.435264
8 Irish + Lebanese_Christian + Orcadian + Spanish_Extremadura @ 2.471831
9 Lebanese_Christian + Orcadian + Spanish_Castilla_La_Mancha + West_Scottish @ 2.477234
10 Lebanese_Christian + Orcadian + Southeast_English + Spanish_Extremadura @ 2.477651
11 Lebanese_Christian + Orcadian + Orcadian + Spanish_Castilla_Y_Leon @ 2.491133
12 Lebanese_Christian + Orcadian + Orcadian + Spanish_Cantabria @ 2.499018
13 Lebanese_Christian + Orcadian + Southwest_English + Spanish_Extremadura @ 2.545343
14 Orcadian + Orcadian + Samaritan + Spanish_Castilla_La_Mancha @ 2.603427
15 Italian_Abruzzo + Orcadian + Orcadian + Sephardic_Jewish @ 2.606512
16 Orcadian + Orcadian + Sephardic_Jewish + Tuscan @ 2.607880
17 Lebanese_Christian + Orcadian + Southeast_English + Spanish_Castilla_La_Mancha @ 2.609368
18 Orcadian + Orcadian + Samaritan + Spanish_Extremadura @ 2.611076
19 Irish + Lebanese_Christian + Orcadian + Spanish_Castilla_La_Mancha @ 2.625129
20 Lebanese_Christian + Orcadian + Spanish_Murcia + West_Scottish @ 2.629622
I have no paper trail that any of my maternal grandmother's family came from Spain, Lebanon or were neofiti (Sicilian Crypto-Jews).
No admixture or oracle results should be taken literally. If you don't get any Jewish results from other companies, I wouldn't put much stock in it.
DeleteHello! Please, may you help me?! My situations is the follow:
ReplyDeleteurogenes EUtest V2 K15 Oracle results:
Kit SU9439258
Admix Results (sorted):
# Population Percent
1 Atlantic 20.27
2 Sub-Saharan 16.41
3 Amerindian 14.44
4 West_Med 12.71
5 East_Med 9.25
6 North_Sea 8.24
7 Baltic 7.75
8 Eastern_Euro 6.29
9 Northeast_African 2.12
10 Red_Sea 0.88
11 Siberian 0.84
12 Southeast_Asian 0.4
13 West_Asian 0.3
14 South_Asian 0.11
Single Population Sharing:
# Population (source) Distance
1 Spanish_Extremadura 29.61
2 Portuguese 29.73
3 Spanish_Murcia 29.76
4 North_Italian 29.96
5 Spanish_Castilla_Y_Leon 29.97
6 Bulgarian 30.11
7 Spanish_Galicia 30.14
8 Romanian 30.16
9 Serbian 30.18
10 Spanish_Andalucia 30.23
11 Spanish_Valencia 30.43
12 Spanish_Cataluna 30.48
13 Tuscan 30.75
14 Spanish_Castilla_La_Mancha 31.05
15 Austrian 31.15
16 Spanish_Cantabria 31.2
17 Southwest_French 31.51
18 Greek 31.6
19 West_Sicilian 31.8
20 Greek_Thessaly 31.9
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 78.1% Spanish_Valencia + 21.9% Biaka_Pygmy @ 19.6
2 79.6% Spanish_Murcia + 20.4% Bantu_S.E. @ 19.61
3 76.8% Spanish_Valencia + 23.2% Bantu_N.E. @ 19.61
4 79.9% Spanish_Murcia + 20.1% Bantu_S.W. @ 19.61
5 79% Spanish_Valencia + 21% Bantu_S.E. @ 19.63
6 80.4% Spanish_Murcia + 19.6% Mandenka @ 19.64
7 77.1% Spanish_Valencia + 22.9% Luhya @ 19.65
8 79.3% Spanish_Valencia + 20.7% Bantu_S.W. @ 19.66
9 78.8% Spanish_Murcia + 21.2% Biaka_Pygmy @ 19.66
10 79.4% North_Italian + 20.6% Bantu_S.E. @ 19.66
11 78.6% North_Italian + 21.4% Biaka_Pygmy @ 19.66
12 79.7% North_Italian + 20.3% Bantu_S.W. @ 19.68
13 77.3% North_Italian + 22.7% Bantu_N.E. @ 19.73
14 79.8% Spanish_Valencia + 20.2% Mandenka @ 19.74
15 77.6% North_Italian + 22.4% Luhya @ 19.76
16 77.5% Spanish_Murcia + 22.5% Bantu_N.E. @ 19.76
17 80.3% North_Italian + 19.7% Mandenka @ 19.76
18 81.5% Spanish_Murcia + 18.5% Yoruban @ 19.77
19 77.8% Spanish_Murcia + 22.2% Luhya @ 19.79
20 79.3% Spanish_Andalucia + 20.7% Bantu_S.E. @ 19.79
Than you in advance!
Henrique Regis.
I am from southern Italy (Puglia), like my four grandparents and also great-grandparents.
ReplyDeleteHelp! My MyHeritage results look very different from the various Gedmatch options, especially for the percentage of North African in muheritage and the ever-present values of Ashkenazi in gedmatch. My father says we have Jewish ancestors. It's possible? Thanks for an answer.
My Kit Num: ET9164809
MyHeritage:
Greek and southern Italian 64.5
North African 10.5
Italian 9.4
Iberian 7.8
Northern Europe and occid. 5.4
Middle East 2.2
Oracle Africa9:
Admix (sorted):
# Population Percent
1 Europe 51.47
2 SW_Asia 36.25
3 NW_Africa 12.14
4 Biaka 0.14
Sharing of the single population:
1 Morocco_Jews 3.91
2 North_African_Jews 11.84
3 tuscany 23.26
4 Druze 24.15
5 North_Italian 28.16
Oracle Dodecad K7b:
Admix (sorted):
# Population Percent
1 Atlantic_Baltic 38.39
2 Southern 33.88
3 West_Asian 26.8
4 Siberian 0.57
5 African 0.35
Sharing of the single population:
1 Greek (Dodecad) 3.19
2 S_Italian_Sicilian (Dodecad) 4.76
3 C_Italiano (Dodecad) 5.67
4 Sicilian (Dodecad) 5.82
5 Ashkenazy_Jews (Behar) 6.7
6 Ashkenazi (Dodecad) 7.06
Oracle Dodecad K12b:
Admix (sorted):
# Population Percent
1 Caucasus 32.91
2 Atlantic_Med 27.25
3 North_European 16.77
4 Southwest_Asian 9.7
5 Gedrosia 7.94
6 Northwest_African 5.03
Siberian 7 0.39
Sharing of the single population:
1 Sicilian (Dodecad) 7.26
2 S_Italian_Sicilian (Dodecad) 7.44
3 Greek (Dodecad) 7.81
4 C_Italiano (Dodecad) 8.14
5 Ashkenazy_Jews (Behar) 8.8
6 Ashkenazi (Dodecad) 9.04
Oracle Dodecad V3
1 Ashkenazy_Jews (Behar) 4.48
2 Ashkenazi (Dodecad) 5.66
3 Tuscan (Xing) 10.35
4 Morocco_Jews (Behar) 11.13
5 TSI (HapMap) 11.43
Oracle World9:
1 Greek (Dodecad) 0.85
2 Ashkenazy_Jews 4.94
3 S_Italian_Sicilian (Dodecad) 5.4
4 C_Italiano (Dodecad) 5.58
5 Sicilian (Dodecad) 5.59
6 S_Italian (Dodecad) 5.99
7 Ashkenazi (Dodecad) 6.58
8 O_Italian (Dodecad) 7.62
9 Tuscan (HGDP) 10.72
EUtest Oracle:
1 South_Italian _ & _ Sicilian 7.01
2 GR 7.16
3 AJ 7.42
4 Tuscan 12.56
5 North_Italian 17.11
6 RO 18.27
Eurogenes K13 Oracle:
1 Central_Greek 5.21
2 Ashkenazi 5.67
3 East_Sicilian 5.79
4 South_Italian 7.55
5 Greek_Thessaly 8.12
6 Italian_Abruzzo 8.17
7 West_Sicilian 8.8
8 Italian_Jewish 11.51
9 Sephardic_Jewish 11.99
10 Algerian_Jewish 12.01
Eurogenes EUtest V2 K15 Oracle:
1 Central_Greek 5.35
2 East_Sicilian 6.25
3 Ashkenazi 6.31
4 South_Italian 6.64
5 Italian_Abruzzo 7.09
6 West_Sicilian 7.72
Greek 7 8.22
8 Italian_Jewish 9.05
9 Greek_Thessaly 9.58
10 Sephardic_Jewish 9.99
11 Algerian_Jewish 10.53
HarappaWorld Oracle:
1 ashkenazi (harappa) 4.13
2 ashkenazy-jew (behar) 5.88
3 Tuscan (1000 genomes) 9.59
4 Tuscan (hgdp) 10.21
5 Tuscan (hapmap) 10.93
6 sephardic-jew (behar) 12.5
7 morocco-jew (behar) 14.02
Jtest Oracle results:
1 GR 7.17
2 South_Italian _ & _ Sicilian 7.47
3 Tuscan 12.46
4 North_Italian 16.95
5 RO 17.92
6 Serbian 19.27
7 TR 20.57
8 AJ 21.9
Eurogenes K36 Admixture Proportions:
Population:
Italian 18.80
East_Med 17.74
Near_Eastern 11.02
Iberian 10.46
Armenian 6.80
French 6.72
Central_Euro 5.13
North_Caucasian 4.76
East_Balkan 3.68
East_Central_Euro 3.48
Basque 2.63
North_Sea 2.24
North_African 1.21
Arabian 1.07
Eastern_Euro 0.62
HELP!
ReplyDeleteI have a suspected Sephardic Jewish ancestor bc my father has dutch roots and scores levantine on ftdna and also on 23andme. Also, my y-hap is t-70 (not native to N Europe) and is found mostly amongst Sephardic Jews. Here are my results.
I also believe we have Romani ancestry, as we score anatolian and south-asian on 23andme (indicative of Romani)....here are his punDNAL results (below mine).
1 96.8% Danish + 3.2% Lebanese_Druze @ 1.44
2 96% Danish + 4% Sephardic_Jewish @ 1.44
3 96% Danish + 4% Italian_Jewish @ 1.47
4 96.3% Danish + 3.7% Tunisian_Jewish @ 1.49
5 97% Danish + 3% Lebanese_Christian @ 1.52
6 96.4% Danish + 3.6% Libyan_Jewish @ 1.54
7 97% Danish + 3% Samaritan @ 1.56
8 95% Danish + 5% Italian_Abruzzo @ 1.56
9 96.9% Danish + 3.1% Palestinian @ 1.56
10 96.7% Danish + 3.3% Cyprian @ 1.58
11 96.3% Danish + 3.7% Algerian_Jewish @ 1.58
12 95.8% Danish + 4.2% Ashkenazi @ 1.59
13 95.8% Danish + 4.2% South_Italian @ 1.59
14 96.8% Danish + 3.2% Lebanese_Muslim @ 1.6
15 97.4% Danish + 2.6% Yemenite_Jewish @ 1.6
16 95.3% Danish + 4.7% West_Sicilian @ 1.6
17 94.5% Danish + 5.5% Tuscan @ 1.61
18 97.1% Danish + 2.9% Kurdish_Jewish @ 1.62
19 97.1% Danish + 2.9% Iranian_Jewish @ 1.63
20 97% Danish + 3% Jordanian @ 1.65
1 88.2% Norwegian + 11.8% Romani @ 2.05
2 94.3% Norwegian + 5.7% Gond @ 2.33
3 94.3% Norwegian + 5.7% Chenchus @ 2.36
4 93.7% Norwegian + 6.3% Bengali @ 2.4
5 94.4% Norwegian + 5.6% Velamas @ 2.41
6 94.3% Norwegian + 5.7% Tamil_Nadu_Caste @ 2.41
7 94.5% Norwegian + 5.5% Mawasi @ 2.42
8 94.5% Norwegian + 5.5% Kurumba @ 2.42
9 94.5% Norwegian + 5.5% Piramalai_Kallars @ 2.43
10 92.5% Norwegian + 7.5% Burusho @ 2.46
11 96.2% German_North + 3.8% Mawasi @ 2.47
12 94.7% Norwegian + 5.3% North_Kannadi @ 2.49
13 94.7% Norwegian + 5.3% Sakilli @ 2.52
14 94.3% Norwegian + 5.7% UP_Muslim @ 2.52
15 93.8% Norwegian + 6.2% Tamil_Nadu_Brahmin @ 2.54
16 93.1% Norwegian + 6.9% Sindhi @ 2.56
17 84.5% Swedish + 15.5% Romani @ 2.57
18 94.8% Norwegian + 5.2% Hakkipikki @ 2.58
19 93% Norwegian + 7% Kashmir_Pandit @ 2.58
20 96.5% German_North + 3.5% Paniya @ 2.59