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Monday, October 7, 2013

Eurogenes K15 now at GEDmatch


This new test is essentially an upgraded version of the EUtest. Unlike the original, it includes an Amerindian component and five native reference populations from North and Central America. So obviously it should be a lot more useful for users from the New World who are wondering about Amerindian admixture.

GEDmatch > Ad-Mix Utilities > Eurogenes > Eurogenes EUtestV2 K15

I just tried it myself, and have say that the 4-Ancestors Oracle results were impressive. In other words, they were very accurate based on what I know about my recent ancestry. On the other hand, I'd say the default Oracle was picking up more ancient gene flows. However, this might not be the case for everyone, so let's hear some feedback, discuss the outcomes, and perhaps tweak the settings if necessary.

One of the most important things to keep in mind is to ignore all results under 1%. These are likely to be noise.

Here are the populations averages and Fst distances between the ancestral components. Below are spatial maps of the main West Eurasian components courtesy of Gui (FR7): Baltic, North Sea, Atlantic, East Euro, West Med, East Med, West Asian.










368 comments:

1 – 200 of 368   Newer›   Newest»
RC Caudill said...

I am not really sure how to use the oracle David. Do I just click the oracle link?

Davidski said...

Yes, pick the following option on the Ad-Mix Utilities page and try all the oracles by clicking the different buttons (one at a time).

Admixture Proportions (with link to Oracle)

RC Caudill said...

Admix Results (sorted):

# Population Percent
1 North_Sea 41.82
2 Atlantic 26.57
3 West_Med 8.72
4 Baltic 7.18
5 Eastern_Euro 5.97
6 West_Asian 4.58
7 Red_Sea 2.19
8 South_Asian 1.98
9 Sub-Saharan 0.98


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

Least-squares method.

Using 1 population approximation:
1 Orcadian @ 6.138
2 West_Scottish @ 8.188
3 Southwest_English @ 8.697
4 Danish @ 8.777
5 Southeast_English @ 8.825
6 Irish @ 8.856
7 Dutch @ 8.886
8 Norwegian @ 10.018
9 Swedish @ 11.891
10 German @ 12.639
165 iterations.

Admix Results (sorted):

# Population Percent
1 North_Sea 41.82
2 Atlantic 26.57
3 West_Med 8.72
4 Baltic 7.18
5 Eastern_Euro 5.97
6 West_Asian 4.58
7 Red_Sea 2.19
8 South_Asian 1.98
9 Sub-Saharan 0.98


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

Least-squares method.

Using 1 population approximation:
1 Orcadian @ 6.138
2 West_Scottish @ 8.188
3 Southwest_English @ 8.697
4 Danish @ 8.777
5 Southeast_English @ 8.825
6 Irish @ 8.856
7 Dutch @ 8.886
8 Norwegian @ 10.018
9 Swedish @ 11.891
10 German @ 12.639
165 iterations.

Using 4 populations approximation:
1 Orcadian + Orcadian + Orcadian + Southwest_English @ 6.125
2 Orcadian + Orcadian + Orcadian + Orcadian @ 6.138
3 Orcadian + Orcadian + Orcadian + Southeast_English @ 6.364
4 Orcadian + Orcadian + Orcadian + West_Scottish @ 6.388
5 Irish + Orcadian + Orcadian + Orcadian @ 6.452
6 Orcadian + Orcadian + Southwest_English + West_Scottish @ 6.593
7 Danish + Orcadian + Orcadian + Orcadian @ 6.602
8 Orcadian + Orcadian + Southwest_English + Southwest_English @ 6.617
9 Dutch + Orcadian + Orcadian + Orcadian @ 6.620
10 Irish + Orcadian + Orcadian + Southwest_English @ 6.725
11 Orcadian + Orcadian + Southeast_English + Southwest_English @ 6.745
12 Danish + Orcadian + Orcadian + Southwest_English @ 6.798
13 Dutch + Orcadian + Orcadian + Southwest_English @ 6.801
14 Norwegian + Orcadian + Orcadian + Southwest_English @ 6.831
15 Orcadian + Orcadian + West_Scottish + West_Scottish @ 6.836
16 Orcadian + Orcadian + Southeast_English + West_Scottish @ 6.840
17 French + Orcadian + Orcadian + Orcadian @ 6.879
18 Dutch + Orcadian + Orcadian + West_Scottish @ 6.907
19 Irish + Orcadian + Orcadian + West_Scottish @ 6.934
20 Orcadian + Orcadian + Southeast_English + Southeast_English @ 6.939

3253705 iterations.


Finished reading population data. 165 populations found.
15 population clusters.

Oracle-X

Admix Results:

# Population Percent
1 North_Sea 41.39
2 Atlantic 26.30
3 Baltic 7.11
4 Eastern_Euro 5.91
5 West_Med 8.63
6 West_Asian 4.54
7 East_Med 0.25
8 Red_Sea 2.17
9 South_Asian 1.96
10 Southeast_Asian 0.79
11 Siberian 0.00
12 Amerindian 0.00
13 Oceanian 0.00
14 Northeast_African 0.00
15 Sub-Saharan 0.97

Pct. Calc. Option 2

1 Orcadian 94.21%
2 Southwest_English 2.02%
3 Velamas 1.17%
4 Spanish_Extremadura 0.97%
5 Spanish_Galicia 0.69%
6 Abhkasian 0.31%
7 Moroccan 0.30%
8 Southeast_English 0.11%
9 Portuguese 0.11%
10 French 0.11%

Do you need the oracles for calc option 2 as well David?

Davidski said...

No, that's fine. It's pretty clear now that you're mostly of British (likely Scottish or Northern Irish) ancestry, probably with some minor Sub-Saharan.

RC Caudill said...

Oh okay so that is how that works. I wasn't sure about the oracles. Last night I found a 1850s slave index in the county where I grew up. The slave owner with last name combs had about 15 slaves. Some "mulatto" and some classified as just black. I found out just last month that my "Cherokee" great grandfather's mother's maiden name was combs. So it honestly does make a lot of sense to me. The story was he raised himself an his mother died at a very young age. But the story was undoubtedly fabricated to mask the truth.

Thank you again for helping me figure this stuff out. Did you get the other or

Davidski said...

You can post the rest if you like. It might help other people who are in a similar situation.

RC Caudill said...

So I take it you are also a mix of Polish though too right?

Davidski said...

Yes, all my great-grandparents were ethnic Poles, although some came from what are now Lithuania, Latvia, and I think even Estonia. Here's my 4-Ancestors Oracle result.

Using 4 populations approximation:
1 Estonian + Lithuanian + Ukrainian_Northeast + Ukrainian_West @ 5.086
2 Estonian + Lithuanian + Polish + Ukrainian_Northeast @ 5.169
3 Estonian + Estonian + Ukrainian_Northeast + Ukrainian_Northeast @ 5.192
4 Estonian + Lithuanian + Polish + Ukrainian_West @ 5.241
5 Belorussian + Estonian + Ukrainian_Northeast + Ukrainian_West @ 5.255
6 Estonian + Estonian + Ukrainian_Northeast + Ukrainian_West @ 5.274
7 Estonian + Estonian + Polish + Ukrainian_Northeast @ 5.285
8 Estonian + Lithuanian + Polish + Polish @ 5.291
9 Estonian + Ukrainian_Northeast + Ukrainian_Northeast + Ukrainian_West @ 5.347
10 Estonian + Lithuanian + Ukrainian_West + Ukrainian_West @ 5.351
11 Belorussian + Estonian + Polish + Ukrainian_Northeast @ 5.410
12 Estonian + Polish + Ukrainian_Northeast + Ukrainian_Northeast @ 5.430
13 Finnish + Lithuanian + Ukrainian_Northeast + Ukrainian_West @ 5.441
14 Lithuanian + Lithuanian + Swedish + Ukrainian_Northeast @ 5.441
15 Estonian + Hungarian + Lithuanian + Ukrainian_Northeast @ 5.463
16 Finnish + Lithuanian + Lithuanian + Ukrainian_West @ 5.476
17 Belorussian + Estonian + Lithuanian + Ukrainian_West @ 5.494
18 Estonian + Lithuanian + Ukrainian + Ukrainian_Northeast @ 5.497
19 Estonian + Polish + Ukrainian_Northeast + Ukrainian_West @ 5.499
20 Estonian + Hungarian + Lithuanian + Lithuanian @ 5.516

RC Caudill said...

ORACLE:

Cal Option 1:

Admix Results (sorted):

# Population Percent
1 North_Sea 41.39
2 Atlantic 26.3
3 West_Med 8.63
4 Baltic 7.11
5 Eastern_Euro 5.91
6 West_Asian 4.54
7 Red_Sea 2.17
8 South_Asian 1.96
9 Sub-Saharan 0.97
10 Southeast_Asian 0.79
11 East_Med 0.25

Single Population Sharing:
# Population (source) Distance
1 Orcadian 5.38
2 West_Scottish 7.07
3 Southwest_English 7.39
4 Danish 7.47
5 Southeast_English 7.48
6 Dutch 7.53
7 Irish 7.63
8 Norwegian 8.68
9 Swedish 10.29
10 German 10.61
11 North_Swedish 14.02
12 French 14.08
13 Southwest_Finnish 20.45
14 Spanish_Galicia 21.23
15 Spanish_Cataluna 21.85
16 Hungarian 21.86
17 Austrian 22.28
18 Portuguese 22.56
19 Spanish_Castilla_Y_Leon 22.92
20 Finnish 23.05

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 93.5% Orcadian + 6.5% Spanish_Galicia @ 5.19
2 98.3% Orcadian + 1.7% Velamas @ 5.2
3 98.3% Orcadian + 1.7% Kurumba @ 5.21
4 98.3% Orcadian + 1.7% Chenchu @ 5.21
5 98.3% Orcadian + 1.7% Dusadh @ 5.22
6 98.4% Orcadian + 1.6% Piramalai @ 5.22
7 98.4% Orcadian + 1.6% Austroasiatic_Ho @ 5.22
8 98.4% Orcadian + 1.6% Kol @ 5.23
9 98% Orcadian + 2% Abhkasian @ 5.23
10 94.9% Orcadian + 5.1% Spanish_Extremadura @ 5.23
11 98% Orcadian + 2% Sindhi @ 5.23
12 94.6% Orcadian + 5.4% Portuguese @ 5.24
13 97.9% Orcadian + 2.1% Georgian @ 5.24
14 98.3% Orcadian + 1.7% Dharkar @ 5.24
15 91.4% Orcadian + 8.6% French @ 5.24
16 98.5% Orcadian + 1.5% Chamar @ 5.24
17 98.2% Orcadian + 1.8% Gujarati @ 5.24
18 98.4% Orcadian + 1.6% Uttar_Pradesh @ 5.24
19 98.2% Orcadian + 1.8% Bangladeshi @ 5.24
20 97.6% Orcadian + 2.4% Moroccan @ 5.24




RC Caudill said...

ORACLE 4:

Admix Results (sorted):

# Population Percent
1 North_Sea 41.82
2 Atlantic 26.57
3 West_Med 8.72
4 Baltic 7.18
5 Eastern_Euro 5.97
6 West_Asian 4.58
7 Red_Sea 2.19
8 South_Asian 1.98
9 Sub-Saharan 0.98


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

Least-squares method.

Using 1 population approximation:
1 Orcadian @ 6.138
2 West_Scottish @ 8.188
3 Southwest_English @ 8.697
4 Danish @ 8.777
5 Southeast_English @ 8.825
6 Irish @ 8.856
7 Dutch @ 8.886
8 Norwegian @ 10.018
9 Swedish @ 11.891
10 German @ 12.639
165 iterations.

Using 2 populations approximation:
1 50% Orcadian +50% Orcadian @ 6.138
2 50% Orcadian +50% Southwest_English @ 6.617
3 50% Orcadian +50% West_Scottish @ 6.836
4 50% Orcadian +50% Southeast_English @ 6.939
5 50% Irish +50% Orcadian @ 7.053
6 50% Danish +50% Orcadian @ 7.219
7 50% Dutch +50% Orcadian @ 7.263
8 50% Norwegian +50% Orcadian @ 7.891
9 50% Norwegian +50% Southwest_English @ 7.909
10 50% Southwest_English +50% West_Scottish @ 8.011
13695 iterations.



Using 3 populations approximation:
1 50% Orcadian +25% Orcadian +25% Southwest_English @ 6.125
2 50% Orcadian +25% Orcadian +25% Orcadian @ 6.138
3 50% Orcadian +25% Orcadian +25% Southeast_English @ 6.364
4 50% Orcadian +25% Orcadian +25% West_Scottish @ 6.388
5 50% Orcadian +25% Irish +25% Orcadian @ 6.452
6 50% Orcadian +25% Southwest_English +25% West_Scottish @ 6.593
7 50% Orcadian +25% Danish +25% Orcadian @ 6.602
8 50% Orcadian +25% Southwest_English +25% Southwest_English @ 6.617
9 50% Southwest_English +25% Orcadian +25% Orcadian @ 6.617
10 50% Orcadian +25% Dutch +25% Orcadian @ 6.620
470596 iterations.

Using 4 populations approximation:
1 Orcadian + Orcadian + Orcadian + Southwest_English @ 6.125
2 Orcadian + Orcadian + Orcadian + Orcadian @ 6.138
3 Orcadian + Orcadian + Orcadian + Southeast_English @ 6.364
4 Orcadian + Orcadian + Orcadian + West_Scottish @ 6.388
5 Irish + Orcadian + Orcadian + Orcadian @ 6.452
6 Orcadian + Orcadian + Southwest_English + West_Scottish @ 6.593
7 Danish + Orcadian + Orcadian + Orcadian @ 6.602
8 Orcadian + Orcadian + Southwest_English + Southwest_English @ 6.617
9 Dutch + Orcadian + Orcadian + Orcadian @ 6.620
10 Irish + Orcadian + Orcadian + Southwest_English @ 6.725
11 Orcadian + Orcadian + Southeast_English + Southwest_English @ 6.745
12 Danish + Orcadian + Orcadian + Southwest_English @ 6.798
13 Dutch + Orcadian + Orcadian + Southwest_English @ 6.801
14 Norwegian + Orcadian + Orcadian + Southwest_English @ 6.831
15 Orcadian + Orcadian + West_Scottish + West_Scottish @ 6.836
16 Orcadian + Orcadian + Southeast_English + West_Scottish @ 6.840
17 French + Orcadian + Orcadian + Orcadian @ 6.879
18 Dutch + Orcadian + Orcadian + West_Scottish @ 6.907
19 Irish + Orcadian + Orcadian + West_Scottish @ 6.934
20 Orcadian + Orcadian + Southeast_English + Southeast_English @ 6.939

3253705 iterations.

ORACLE-X:

Admix Results:

# Population Percent
1 North_Sea 41.39
2 Atlantic 26.30
3 Baltic 7.11
4 Eastern_Euro 5.91
5 West_Med 8.63
6 West_Asian 4.54
7 East_Med 0.25
8 Red_Sea 2.17
9 South_Asian 1.96
10 Southeast_Asian 0.79
11 Siberian 0.00
12 Amerindian 0.00
13 Oceanian 0.00
14 Northeast_African 0.00
15 Sub-Saharan 0.97

Pct. Calc. Option 1

1 Orcadian 94.51%
2 Spanish_Galicia 3.44%
3 Velamas 1.07%
4 Abhkasian 0.85%
5 Southwest_English 0.13%
6 Spanish_Castilla_Y_Leon 0.00%
7 French 0.00%
8 Moroccan 0.00%
9 Portuguese 0.00%
10 Spanish_Extremadura 0.00%

Total RMSD: 1.538349

RC Caudill said...

That is really cool you actually have a large percentage of one ethnicity. I always found it a little bit difficult trying to decide which ethnic group to fit into growing up. That was when I thought I was a a native and white mix but that will be even harder now lol. But at least I am an adult and I do not live in the South anymore so it will be a little easier adjusting to my most recent ethnic discoveries.
But that is good that you know what you are. Just curious what do the numbers 5.544 (and so on) mean following your admix populations?

Davidski said...

They're distances from the potential ancestral combinations. So the lower the number, the lower the distance, and in theory the more likely the outcome.

But it's often the case that users don't see the most likely outcomes at the top of their lists, and that's basically because we're dealing with very fine scale ancestry prediction here, since many ethnic groups are genetically almost identical and I have limited samples to use as references.

RC Caudill said...

Oh okay so in my case, going by my numbers, in Oracle number 1, I have:

93.5% Orcadian + 6.5% Spanish_Galicia @ 5.19
2 98.3% Orcadian + 1.7% Velamas @ 5.2
3 98.3% Orcadian + 1.7% Kurumba @ 5.21
4 98.3% Orcadian + 1.7% Chenchu @ 5.21
5 98.3% Orcadian + 1.7% Dusadh @ 5.22
6 98.4% Orcadian + 1.6% Piramalai @ 5.22
7 98.4% Orcadian + 1.6% Austroasiatic_Ho @ 5.22
8 98.4% Orcadian + 1.6% Kol @ 5.23
9 98% Orcadian + 2% Abhkasian @ 5.23
10 94.9% Orcadian + 5.1% Spanish_Extremadura @ 5.23
11 98% Orcadian + 2% Sindhi @ 5.23
12 94.6% Orcadian + 5.4% Portuguese @ 5.24
13 97.9% Orcadian + 2.1% Georgian @ 5.24
14 98.3% Orcadian + 1.7% Dharkar @ 5.24
15 91.4% Orcadian + 8.6% French @ 5.24
16 98.5% Orcadian + 1.5% Chamar @ 5.24
17 98.2% Orcadian + 1.8% Gujarati @ 5.24
18 98.4% Orcadian + 1.6% Uttar_Pradesh @ 5.24
19 98.2% Orcadian + 1.8% Bangladeshi @ 5.24
20 97.6% Orcadian + 2.4% Moroccan @ 5.24

So the lowest numbers, Orcadian and spanish @ 5.19 at the very top, would be lower than the Orcadian and Moroccan at the bottom with 5.24. So the outcome would be greater?.

But you said the 4th Oracle was the most recent. So for the most part the western Med seen in the first oracle is quite ancient.? Which leaves me to wonder if you think the Sub Saharan African is close enough to be an African American slave like I mentioned earlier? From the 17-1800s?

Davidski said...

Well, the Spanish Galician samples do have minor Sub-Saharan admixture. So that first outcome could well be a reflection of your recent ancestry which includes some African-American admixture. In other words, what the algorithm is seeing is someone who is slightly more southwestern European than the average Orcadian, but also with some minor Sub-Saharan ancestry.

truth said...

Hi, great calcualtor there ! Could we see the averages for populations ? Thx,

Mike said...

oracle 4 calculator option 1

Admix Results (sorted):

# Population Percent
1 North_Sea 38.43
2 Atlantic 27.65
3 Baltic 12.66
4 West_Med 10.14
5 Eastern_Euro 6.93
6 West_Asian 2.18
7 Red_Sea 1.15
8 East_Med 0.86


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

Least-squares method.

Using 1 population approximation:
1 Dutch @ 5.006
2 Southwest_English @ 5.144
3 Orcadian @ 5.335
4 Irish @ 5.410
5 Southeast_English @ 5.492
6 West_Scottish @ 5.633
7 Danish @ 6.039
8 Norwegian @ 7.555
9 German @ 8.264
10 Swedish @ 8.773
165 iterations.



Using 2 populations approximation:
1 50% Orcadian +50% Southwest_English @ 3.819
2 50% Norwegian +50% Southwest_English @ 4.041
3 50% Southwest_English +50% Swedish @ 4.165
4 50% Dutch +50% Southwest_English @ 4.206
5 50% Dutch +50% Irish @ 4.309
6 50% Orcadian +50% Southeast_English @ 4.436
7 50% Dutch +50% Southeast_English @ 4.494
8 50% Dutch +50% West_Scottish @ 4.498
9 50% Irish +50% Orcadian @ 4.533
10 50% Norwegian +50% Southeast_English @ 4.594
13695 iterations.



Using 3 populations approximation:
1 50% Southwest_English +25% Orcadian +25% Swedish @ 3.545
2 50% Southwest_English +25% Irish +25% Swedish @ 3.597
3 50% Southwest_English +25% Southwest_English +25% Swedish @ 3.649
4 50% Southwest_English +25% Swedish +25% West_Scottish @ 3.658
5 50% Southwest_English +25% Norwegian +25% Orcadian @ 3.710
6 50% Southwest_English +25% Irish +25% Norwegian @ 3.735
7 50% Southwest_English +25% Southeast_English +25% Swedish @ 3.780
8 50% Orcadian +25% Southwest_English +25% Southwest_English @ 3.819
9 50% Southwest_English +25% Orcadian +25% Orcadian @ 3.819
10 50% Southwest_English +25% Norwegian +25% West_Scottish @ 3.831
321446 iterations.



Using 4 populations approximation:
1 Orcadian + Southwest_English + Southwest_English + Swedish @ 3.545
2 Irish + Southwest_English + Southwest_English + Swedish @ 3.597
3 Southwest_English + Southwest_English + Southwest_English + Swedish @ 3.649
4 Southwest_English + Southwest_English + Swedish + West_Scottish @ 3.658
5 Norwegian + Orcadian + Southwest_English + Southwest_English @ 3.710
6 Irish + Norwegian + Southwest_English + Southwest_English @ 3.735
7 Southeast_English + Southwest_English + Southwest_English + Swedish @ 3.780
8 Orcadian + Orcadian + Southwest_English + Southwest_English @ 3.819
9 Norwegian + Southwest_English + Southwest_English + West_Scottish @ 3.831
10 Dutch + Orcadian + Southwest_English + Southwest_English @ 3.840
11 Orcadian + Southeast_English + Southwest_English + Swedish @ 3.850
12 Irish + Orcadian + Southwest_English + Swedish @ 3.856
13 Dutch + Irish + Orcadian + Southwest_English @ 3.862
14 Dutch + Southwest_English + Southwest_English + Swedish @ 3.872
15 Norwegian + Southwest_English + Southwest_English + Southwest_English @ 3.878
16 Irish + Norwegian + Orcadian + Southwest_English @ 3.920
17 Irish + Southeast_English + Southwest_English + Swedish @ 3.927
18 Dutch + Norwegian + Southwest_English + Southwest_English @ 3.943
19 Irish + Irish + Southwest_English + Swedish @ 3.955
20 Norwegian + Southeast_English + Southwest_English + Southwest_English @ 3.970

1862277 iterations.

Done.

Gill said...

Are the reference populations the same as in Eurogenes K36? Which populations were used for North Sea, Atlantic, Baltic, etc?

ethersworn said...

These are my results:

# Population Percent
1 Atlantic 31.48
2 North_Sea 31.47
3 West_Med 11.23
4 Eastern_Euro 10.25
5 Baltic 7.74
6 West_Asian 4.74
7 South_Asian 1.66
8 Sub-Saharan 0.67
9 Southeast_Asian 0.41
10 Oceanian 0.34

When I run Oracle 4 I get:

1 Danish + Danish + Dutch + French_Basque @ 4.250

I would've guessed there to be Irish or Scottish somewhere in the mix, as the old EU Test gives

1 French_Basque + IE + IE + North_Swedish @ 3.926

Any clue about why the change?


Chad Rohlfsen said...

Population
North_Sea 36.88%
Atlantic 26.25%
Baltic 10.30%
Eastern_Euro 8.84%
West_Med 10.14%
West_Asian 0.30%
East_Med 5.80%
Red_Sea -
South_Asian -
Southeast_Asian -
Siberian 0.80%
Amerindian -
Oceanian 0.66%
Northeast_African -
Sub-Saharan

Chad Rohlfsen said...

Will there be a population averages link with this eutest? Do my results look right with 1/2 British with Irish and 1/2 north German, Danish, French, Alsatian German and Pomeranian German?
Any reason for the east med numbers?

Chad Rohlfsen said...

Why is my west Asian so low? Doesn't about everyone who's European have at least 3-4%?

Pamela Wolfe said...

Hi David, thank you for sharing this via Gedmatch. The results seem to par with my genealogy paper trails, some back to 500+ years (if they are correct). This picks up older Spanish and Italian ancestry that I can confirm from 1600s-1720s. BTW, I'm American and some branches have been here since 1620. But I'm also interested in your thoughts, David. What is up with the Oceanian????

Kit Number: F12192

Admix Results:

# Population Percent
1 North_Sea 32.94
2 Atlantic 31.65
3 Baltic 9.13
4 Eastern_Euro 6.36
5 West_Med 10.83
6 West_Asian 3.53
7 East_Med 3.58
8 Red_Sea 0.83
9 South_Asian 0.00
10 Southeast_Asian 0.00
11 Siberian 0.00
12 Amerindian 0.00
13 Oceanian 0.99
14 Northeast_African 0.01
15 Sub-Saharan 0.15


Pct. Calc. Option 1

1 Irish 56.91%
2 Southwest_English 24.84%
3 French_Basque 11.39%
4 Spanish_Murcia 3.23%
5 Sephardic_Jewish 3.05%
6 Papuan 0.54%
7 Spanish_Extremadura 0.03%
8 Tuscan 0.01%
9 North_Italian 0.00%
10 Portuguese 0.00%

Pct. Calc. Option 2

1 Southwest_English 45.18%
2 Danish 10.63%
3 Southeast_English 9.17%
4 French_Basque 7.26%
5 Irish 7.19%
6 West_Scottish 7.05%
7 Sephardic_Jewish 6.34%
8 Spanish_Valencia 5.11%
9 Orcadian 2.05%
10 German 0.02%

Using 2 populations approximation:
1 50% French +50% Irish @ 3.924
2 50% French +50% West_Scottish @ 3.989
3 50% Southeast_English +50% Southwest_English @ 4.310
4 50% Southwest_English +50% Southwest_English @ 4.458
5 50% French +50% Southeast_English @ 4.564
6 50% Southeast_English +50% Southeast_English @ 4.585
7 50% Danish +50% French @ 4.837
8 50% Irish +50% Southwest_English @ 4.960
9 50% Spanish_Cataluna +50% West_Scottish @ 5.302
10 50% French +50% Southwest_English @ 5.377
13695 iterations.



Using 3 populations approximation:
1 50% West_Scottish +25% Irish +25% Spanish_Aragon @ 1.789
2 50% Irish +25% Spanish_Aragon +25% West_Scottish @ 1.827
3 50% West_Scottish +25% Spanish_Aragon +25% West_Scottish @ 1.834
4 50% Irish +25% Orcadian +25% Spanish_Aragon @ 1.899
5 50% West_Scottish +25% Southeast_English +25% Spanish_Aragon @ 1.910
6 50% West_Scottish +25% Irish +25% Spanish_Castilla_La_Mancha @ 1.910
7 50% Irish +25% Spanish_Castilla_La_Mancha +25% West_Scottish @ 1.923
8 50% Irish +25% Irish +25% Spanish_Aragon @ 1.944
9 50% West_Scottish +25% Irish +25% Spanish_Valencia @ 1.949
10 50% West_Scottish +25% Spanish_Castilla_La_Mancha +25% West_Scottish @ 1.975
321528 iterations.



Using 4 populations approximation:
1 Irish + Spanish_Aragon + West_Scottish + West_Scottish @ 1.789
2 Irish + Irish + Spanish_Aragon + West_Scottish @ 1.827
3 Spanish_Aragon + West_Scottish + West_Scottish + West_Scottish @ 1.834
4 Irish + Irish + Orcadian + Spanish_Aragon @ 1.899
5 Southeast_English + Spanish_Aragon + West_Scottish + West_Scottish @ 1.910
6 Irish + Spanish_Castilla_La_Mancha + West_Scottish + West_Scottish @ 1.910
7 Irish + Irish + Spanish_Castilla_La_Mancha + West_Scottish @ 1.923
8 Irish + Irish + Irish + Spanish_Aragon @ 1.944
9 Irish + Southeast_English + Spanish_Aragon + West_Scottish @ 1.945
10 Irish + Spanish_Valencia + West_Scottish + West_Scottish @ 1.949
11 Spanish_Castilla_La_Mancha + West_Scottish + West_Scottish + West_Scottish @ 1.975
12 Spanish_Valencia + West_Scottish + West_Scottish + West_Scottish @ 1.982
13 Irish + Irish + Spanish_Valencia + West_Scottish @ 1.994
14 Irish + Orcadian + Spanish_Aragon + West_Scottish @ 1.997
15 Irish + Irish + Irish + Spanish_Castilla_La_Mancha @ 2.013
16 Irish + Irish + Southeast_English + Spanish_Aragon @ 2.054
17 Irish + Orcadian + Southeast_English + Spanish_Aragon @ 2.055
18 Southeast_English + Spanish_Castilla_La_Mancha + West_Scottish + West_Scottish @ 2.065
19 Irish + Southeast_English + Spanish_Castilla_La_Mancha + West_Scottish @ 2.077
20 Danish + Irish + Spanish_Aragon + West_Scottish @ 2.078

LoanWarriors said...

Since I have no idea what my paternal heritage is, I'm discovering all kinds of obscure ethnic groups i never knew existed. At the moment I'm taking all of this with huge grains of salt.

I also notice the absence of data on Asian populations, which of course shouldn't' be taken as a criticism of a project titled 'Eurogenes'.


Admix Results:

# Population Percent
1 North_Sea 10.04
2 Atlantic 6.07
3 Baltic 14.96
4 Eastern_Euro 12.54
5 West_Med 3.76
6 West_Asian 0.46
7 East_Med 0.00
8 Red_Sea 0.72
9 South_Asian 1.04
10 Southeast_Asian 35.28
11 Siberian 13.48
12 Amerindian 0.51
13 Oceanian 0.00
14 Northeast_African 1.14
15 Sub-Saharan 0.00


Pct. Calc. Option 1

1 Naxi 48.98%
2 Erzya 21.15%
3 Lithuanian 16.41%
4 Estonian 7.77%
5 Sardinian 2.98%
6 Chuvash 1.93%
7 Ethiopian_Ari_cultivator 0.78%
8 Ukrainian 0.00%
9 Ukrainian_West 0.00%
10 East_Finnish 0.00%

Total RMSD: 0.612536

dnakase said...

Interesting:

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 35.89
2 Baltic 15.22
3 Siberian 13.71
4 Eastern_Euro 12.76
5 North_Sea 10.21
6 Atlantic 6.18
7 West_Med 3.82
8 Northeast_African 1.16
9 South_Asian 1.06


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

Least-squares method.

Using 1 population approximation:
1 Uygur @ 27.036
2 Hazara @ 32.553
3 Uzbeki @ 32.821
4 Tu @ 37.801
5 Tibeto-Burman_Burmese @ 38.460
6 Mongolian @ 38.740
7 Xibo @ 38.868
8 Hakas @ 39.484
9 Shors @ 40.218
10 Hezhen @ 40.380
165 iterations.



Using 2 populations approximation:
1 50% Naxi +50% Russian @ 3.950
2 50% Russian +50% Yizu @ 4.257
3 50% Kargopol_Russian +50% Yizu @ 4.318
4 50% Kargopol_Russian +50% Naxi @ 4.328
5 50% Japanese +50% Russian @ 4.663
6 50% Erzya +50% Yizu @ 4.748
7 50% Erzya +50% Naxi @ 4.772
8 50% Belorussian +50% Naxi @ 4.850
9 50% Naxi +50% Ukrainian @ 5.038
10 50% Naxi +50% Ukrainian_Northeast @ 5.128
13695 iterations.



Using 3 populations approximation:
1 50% Naxi +25% Erzya +25% Ukrainian @ 3.349
2 50% Naxi +25% Kargopol_Russian +25% Lithuanian @ 3.485
3 50% Naxi +25% Erzya +25% Lithuanian @ 3.505
4 50% Naxi +25% Belorussian +25% Erzya @ 3.541
5 50% Yizu +25% Erzya +25% Ukrainian @ 3.544
6 50% Naxi +25% Erzya +25% Estonian @ 3.595
7 50% Naxi +25% Erzya +25% Russian @ 3.614
8 50% Naxi +25% Kargopol_Russian +25% Russian @ 3.626
9 50% Yizu +25% Kargopol_Russian +25% Lithuanian @ 3.681
10 50% Yizu +25% Erzya +25% Lithuanian @ 3.690
433579 iterations.



Using 4 populations approximation:
1 Erzya + She + Ukrainian + Xibo @ 3.335
2 Erzya + Naxi + Naxi + Ukrainian @ 3.349
3 Kargopol_Russian + Lithuanian + She + Xibo @ 3.381
4 Erzya + Naxi + Ukrainian + Yizu @ 3.420
5 Erzya + Lithuanian + She + Xibo @ 3.455
6 Erzya + Miaozu + Ukrainian + Xibo @ 3.461
7 Kargopol_Russian + Lithuanian + Naxi + Naxi @ 3.485
8 Erzya + Hezhen + She + Ukrainian @ 3.488
9 Erzya + Lithuanian + Naxi + Naxi @ 3.505
10 Belorussian + Erzya + She + Xibo @ 3.512
11 Kargopol_Russian + Lithuanian + Miaozu + Xibo @ 3.518
12 Erzya + Lahu + Ukrainian + Xibo @ 3.531
13 Hezhen + Kargopol_Russian + Lithuanian + She @ 3.535
14 Belorussian + Erzya + Naxi + Naxi @ 3.541
15 Erzya + Ukrainian + Yizu + Yizu @ 3.544
16 Kargopol_Russian + Lithuanian + Naxi + Yizu @ 3.557
17 Erzya + Hezhen + Lahu + Ukrainian @ 3.558
18 Kargopol_Russian + Russian + She + Xibo @ 3.559
19 Erzya + Lithuanian + Naxi + Yizu @ 3.572
20 Erzya + Lithuanian + Miaozu + Xibo @ 3.584

2262225 iterations.

James Applegate said...

Population

North_Sea 37.61%
Atlantic 28.83%
Baltic 9.54%
Eastern_Euro 7.34%
West_Med 8.41%
West_Asian 5.94%
East_Med -
Red_Sea 0.25%
South_Asian 0.45%
Southeast_Asian -
Siberian -
Amerindian 0.59%
Oceanian 0.44%
Northeast_African -
Sub-Saharan 0.59%

ORACLE 4

1 North_Sea 38.51
2 Atlantic 29.52
3 Baltic 9.77
4 West_Med 8.61
5 Eastern_Euro 7.51
6 West_Asian 6.08

PAPER

English 38%
Irish 13%
Scotch 12%
unknown 12%
Dutch >11%
Norman English 6%
German 4%
Indian <2%
Welsh 1%
Native 0% (0.20%)

Davidski said...

It's just a different way to interpret the high Atlantic in your results. Both the Basques and Irish have a high proportion of this component. I'm assuming you do get Irish in the new test as well, just not right at the top?

Davidski said...

Not everyone. There are 15 clusters, with three covering Western Asia, so to get at least a few per cent of West Asian admixture you need very specific alleles to achieve that. The alleles that usually produce West Asian admixture in your results look more East Med than West Asian in this test. There might be a specific reason for that, or it might just be the luck of the draw. Population averages are coming.

Davidski said...

The Oceanian is probably something Eurasian that the algorithm doesn't know how to interpret. As per the write up, you can usually ignore all results under 1%.

Davidski said...

There are lots of Asian reference samples in this test. But most are very similar genetically.

I'd say you're half East Asian and half Russian, and your Asian parent came from China or Indo-China.

dnakase said...

I was born in Korea, but I was told that my Korean surname was of Chinese origin.

P.S. I changed my Google id to dnakase as you probably figured out.

Davidski said...

Right, that's what I thought.

I only have a couple of Korean samples, so they're not being used as references here. But I doubt you're Korean, because the results clearly indicate something more southern, like Chinese, mixed with Eastern European.

Davidski said...

I'll try to add more reference populations to the oracles in a few days or a week.

Christine Manczuk said...

This is my dad's:

Population
North_Sea 36.44%
Atlantic 24.37%
Baltic 11.87%
Eastern_Euro 12.45%
West_Med 8.01%
West_Asian 4.52%
East_Med 0.08%
Red_Sea -
South_Asian -
Southeast_Asian -
Siberian 0.67%
Amerindian 0.81%
Oceanian 0.43%
Northeast_African -
Sub-Saharan 0.35%



Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.1% Dutch + 4.9% Chuvash @ 2.32
2 92% Dutch + 8% East_Finnish @ 2.49
3 79.6% Dutch + 20.4% North_Swedish @ 2.5
4 94.7% Dutch + 5.3% Erzya @ 2.55
5 94% Dutch + 6% Kargopol_Russian @ 2.57
6 90.6% Dutch + 9.4% Finnish @ 2.58
7 51% Southwest_English + 49% North_Swedish @ 2.64
8 89.3% Dutch + 10.7% Southwest_Finnish @ 2.65
9 97.6% Dutch + 2.4% Shors @ 2.69
10 98.1% Dutch + 1.9% Selkup @ 2.69
11 98.2% Dutch + 1.8% Ket @ 2.72
12 86% Orcadian + 14% Erzya @ 2.73
13 98% Dutch + 2% Hakas @ 2.75
14 61.3% Norwegian + 38.7% German @ 2.77
15 98.3% Dutch + 1.7% West_Greenlander @ 2.77
16 95.2% Dutch + 4.8% Russian @ 2.77
17 95.4% Dutch + 4.6% Ukrainian_Northeast @ 2.78
18 83.9% Orcadian + 16.1% Russian @ 2.79
19 94.7% Dutch + 5.3% Estonian @ 2.79
20 97.3% Dutch + 2.7% Nogay @ 2.8


Least-squares method.

Using 1 population approximation:
1 Dutch @ 3.442
2 Norwegian @ 4.714
3 Orcadian @ 6.053
4 Swedish @ 6.311
5 Danish @ 6.327
6 German @ 7.189
7 West_Scottish @ 7.447
8 Southeast_English @ 7.785
9 Irish @ 7.858
10 Southwest_English @ 7.916
165 iterations.



Using 2 populations approximation:
1 50% Dutch +50% Norwegian @ 3.342
2 50% Dutch +50% Dutch @ 3.442
3 50% North_Swedish +50% Southwest_English @ 3.505
4 50% German +50% Norwegian @ 3.750
5 50% Dutch +50% Swedish @ 3.967
6 50% North_Swedish +50% Southeast_English @ 4.040
7 50% Southwest_English +50% Swedish @ 4.109
8 50% Norwegian +50% Southwest_English @ 4.123
9 50% Danish +50% Norwegian @ 4.154
10 50% Dutch +50% Orcadian @ 4.322
13695 iterations.



Using 3 populations approximation:
1 50% Dutch +25% Dutch +25% North_Swedish @ 3.142
2 50% Dutch +25% Dutch +25% Norwegian @ 3.169
3 50% Dutch +25% North_Swedish +25% Southwest_English @ 3.237
4 50% Norwegian +25% Dutch +25% German @ 3.271
5 50% Dutch +25% North_Swedish +25% Orcadian @ 3.291
6 50% Dutch +25% Norwegian +25% Norwegian @ 3.342
7 50% Norwegian +25% Dutch +25% Dutch @ 3.342
8 50% Dutch +25% Dutch +25% Swedish @ 3.357
9 50% Dutch +25% North_Swedish +25% West_Scottish @ 3.358
10 50% Dutch +25% Danish +25% North_Swedish @ 3.362
268118 iterations.



Using 4 populations approximation:
1 Dutch + Dutch + Dutch + North_Swedish @ 3.142
2 Dutch + North_Swedish + Norwegian + Southwest_English @ 3.157
3 Dutch + Dutch + Dutch + Norwegian @ 3.169
4 Dutch + Dutch + North_Swedish + Southwest_English @ 3.237
5 Dutch + German + Norwegian + Norwegian @ 3.271
6 Dutch + Dutch + North_Swedish + Orcadian @ 3.291
7 Dutch + Dutch + Norwegian + Norwegian @ 3.342
8 Dutch + Dutch + Dutch + Swedish @ 3.357
9 Dutch + Dutch + North_Swedish + West_Scottish @ 3.358
10 Danish + Dutch + Dutch + North_Swedish @ 3.362
11 Dutch + German + North_Swedish + Orcadian @ 3.374
12 Dutch + Dutch + North_Swedish + Southeast_English @ 3.400
13 Dutch + North_Swedish + Norwegian + Southeast_English @ 3.408
14 Dutch + North_Swedish + Orcadian + Southwest_English @ 3.410
15 North_Swedish + Norwegian + Southwest_English + Southwest_English @ 3.425
16 Dutch + North_Swedish + Southwest_English + Swedish @ 3.429
17 Dutch + Dutch + Dutch + Dutch @ 3.442
18 Dutch + Dutch + German + Norwegian @ 3.452
19 German + North_Swedish + Norwegian + Southwest_English @ 3.455
20 Dutch + Dutch + Irish + North_Swedish @ 3.472

Christine Manczuk said...

My dad's results totally work with what I know about his ancestry. Now, please don't scream, I know you specifically noted that if there anything below 1% to disregard, but because you also said that this test is for people interested in Amerindian admixture, I have a question.

My dad consistently gets Amerindian (when more specifics are available, he gets Arctic) in every last one of the admixture runs I do for him. We have no known Arctic Amerinds in his tree (although there are a few lines of his where I could see it possibly occurring because of location and timeline). Here are what he gets in the various Eurogene tests:

Eurogenes K9
North Amerindian + Arctic 1.30%
Siberian 0.85%

Eurogenes K10
North Amerindian + Arctic 1.27%
Siberian 0.75%

Eurogenes K11
North Amerindian + Arctic 1.19%
Siberian 0.00%

Eurogenes K12
North Amerindian + Arctic 1.18%
Siberian 0.00%

Eurogenes K12b
North Amerindian + Arctic not a category
Siberian 1.06%

Eurogenes K13
Amerindian 1.28%
East Siberian 0.00%

Eurogenes K36
North Amerindian + Arctic 0.23%
Siberian 0.00%


What is accounting for this? Because sometimes the amounts are a little tiny bit above 1%, and sometimes as low as .23%, but it's always there. But it's always at that sketchy threshold. Is this something that Norwegian/British Isles types encounter?

Davidski said...

What's your dad's ancestry? Mennonite German from Russia maybe?

Davidski said...

Well, he definitely has some sort of Amerindian or Siberian ancestry. I can see it in the oracles in this test, and it shows up as over 1% in the other tests. It looks fairly recent, and certainly unexpected for someone of British ancestry, if that's what he is.

Christine Manczuk said...

See, I don't know. We originally thought his father's father's etc line was English (name was Hartley) but we now know that they were originally from Danzig/Gdansk, Poland in the mid-late 1700's. So I don't think their original name was Hartley, but some German/Polish one. I have specifically thought of Mennonite German, actually, due to some later activity those Hartleys did once in Philadelphia. Now that is interesting you thought of that! And there is some speculation that his father was Dutch, which works also with the results.

He also has a lot of German (Rhine, and lots of unknown areas) as well as Scottish and English/Welsh/Irish.

Christine Manczuk said...

His mother's people are from southwestern Norway, with his grandmother being part Swedish, and I am still working on those lines. I don't have the test in front of me now, but one of the admixture breakdowns (maybe Dodecad?) had a tons of East/West Greenland, Aleut, and Athabaskan. Since the Vikings were at least involved in that part of the world way back in time I wonder if it comes from there? But yeah, that should be too far back to register anymore.

My dad also has a line that goes back to early English settlements in Dover, New Hampshire and York County, Maine. Although fairly well documented, we also have a lot of brickwalls on that line, and I know for a fact that they dealt with the local Abenakis there (Abenaki might reasonably be part of the Arctic Amerind??). Although my impression was that they mostly killed each other, maybe there was more going on than has been passed on in record form, like adoptions or sexual relations, consensual or otherwise, between the English and local Native American Indians.

I really appreciate your input. Maybe I really should follow up on my hunch that there was something going on in New Hampshire/Maine that wasn't recorded.

Davidski said...

It's interesting that the only Amerindian-like population that made it into his oracle lists are the West Greenlanders, who are the most admixed group of this type in the dataset. The unadmixed Amerindians didn't show up at all.

But it's the same story with the Siberian populations, with only the more admixed groups showing up, like the Selkups and Shors. So at this stage either Arctic Amerindian or Arctic Siberian ancestry is possible, but based on his mixed New World origins the former is more likely.

The reason I guessed German Mennonite with some Russian ancestry is because German Mennonites actually have a lot of Dutch and Flemish ancestry, and many of them settled near Chuvashia. As you can see, Dutch + Chuvash are at the top of his mixed-mode oracle list. But that would still be highly unusual, because I've never seen a Mennonite with such obvious Turkic admixture.

Davidski said...

Oh wait, he might have Saami ancestry.

Christine Manczuk said...

Certainly seems reasonable. Could that account for the Amerind? They are all up there close to the Arctic circle.

Davidski said...

I'm not sure based on these results. There are so many possibilities in this case that it's difficult to be sure of anything. But the admixture is definitely there, and it's not prehistoric.

mikej2 said...

My results, all four grandparents Finnish

North_Sea 32.81%
Atlantic 15.40%
Baltic 21.53%
Eastern_Euro 19.26%
West_Med 4.12%
West_Asian 0.56%
East_Med -
Red_Sea -
South_Asian 1.06%
Southeast_Asian 1.00%
Siberian 3.04%
Amerindian 1.10%
Oceanian 0.11%
Northeast_African -
Sub-Saharan -

Oracle-4

1 Finnish @ 5.218
2 Southwest_Finnish @ 7.549
3 North_Swedish @ 9.917
4 East_Finnish @ 10.072
5 Estonian @ 10.629
6 Ukrainian @ 13.834
7 Polish @ 14.466
8 Ukrainian_West @ 14.653
9 Swedish @ 14.694
10 Hungarian @ 15.897

Using 4 populations approximation:
1 East_Finnish + Estonian + North_Swedish + North_Swedish @ 3.714
2 East_Finnish + Estonian + Finnish + Norwegian @ 3.999
3 Estonian + Finnish + Finnish + North_Swedish @ 4.025
4 East_Finnish + Estonian + Finnish + Swedish @ 4.158
5 Erzya + Estonian + North_Swedish + Norwegian @ 4.187
6 Estonian + Kargopol_Russian + North_Swedish + North_Swedish @ 4.287
7 Estonian + Finnish + Finnish + Norwegian @ 4.307
8 East_Finnish + Estonian + North_Swedish + Swedish @ 4.315
9 East_Finnish + Estonian + Finnish + North_Swedish @ 4.320
10 Estonian + Finnish + North_Swedish + North_Swedish @ 4.326
11 Erzya + Estonian + North_Swedish + Swedish @ 4.334
12 Estonian + Estonian + North_Swedish + North_Swedish @ 4.393
13 East_Finnish + East_Finnish + Estonian + Norwegian @ 4.420
14 Estonian + Kargopol_Russian + North_Swedish + Norwegian @ 4.422
15 Estonian + Kargopol_Russian + North_Swedish + Swedish @ 4.444
16 East_Finnish + Estonian + North_Swedish + Norwegian @ 4.448
17 Estonian + Finnish + Finnish + Swedish @ 4.451
18 Erzya + Estonian + North_Swedish + North_Swedish @ 4.462
19 Erzya + Finnish + North_Swedish + Swedish @ 4.536
20 East_Finnish + East_Finnish + Estonian + Swedish @ 4.570

Tesmos said...

Dutch/German.

Admix Results (sorted):

# Population Percent
1 North_Sea 42.70
2 Atlantic 19.97
3 Eastern_Euro 11.33
4 West_Med 9.57
5 Baltic 8.16
6 West_Asian 5.10
7 East_Med 2.30
8 Northeast_African 0.87


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

Least-squares method.

Using 1 population approximation:
1 Norwegian @ 8.372
2 Orcadian @ 8.777
3 Dutch @ 9.439
4 Swedish @ 10.075
5 Danish @ 12.076
6 Southwest_English @ 12.501
7 West_Scottish @ 12.840
8 Southeast_English @ 12.899
9 North_Swedish @ 12.914
10 German @ 13.303
165 iterations.



Using 2 populations approximation:
1 50% Norwegian +50% Orcadian @ 8.173
2 50% Norwegian +50% Norwegian @ 8.372
3 50% Dutch +50% Norwegian @ 8.586
4 50% Orcadian +50% Swedish @ 8.699
5 50% Orcadian +50% Orcadian @ 8.777
6 50% Dutch +50% Orcadian @ 8.804
7 50% Norwegian +50% Swedish @ 9.151
8 50% Dutch +50% Swedish @ 9.230
9 50% Norwegian +50% Southwest_English @ 9.367
10 50% Dutch +50% Dutch @ 9.439
13695 iterations.



Using 3 populations approximation:
1 50% Norwegian +25% Norwegian +25% Orcadian @ 8.170
2 50% Norwegian +25% Orcadian +25% Orcadian @ 8.173
3 50% Orcadian +25% Norwegian +25% Norwegian @ 8.173
4 50% Norwegian +25% Dutch +25% Orcadian @ 8.299
5 50% Norwegian +25% Norwegian +25% Norwegian @ 8.372
6 50% Orcadian +25% Norwegian +25% Orcadian @ 8.381
7 50% Norwegian +25% Dutch +25% Norwegian @ 8.393
8 50% Orcadian +25% Dutch +25% Norwegian @ 8.408
9 50% Orcadian +25% Norwegian +25% Swedish @ 8.410
10 50% Norwegian +25% Orcadian +25% Swedish @ 8.478
633313 iterations.



Using 4 populations approximation:
1 Norwegian + Norwegian + Norwegian + Orcadian @ 8.170
2 Norwegian + Norwegian + Orcadian + Orcadian @ 8.173
3 Dutch + Norwegian + Norwegian + Orcadian @ 8.299
4 Norwegian + Norwegian + Norwegian + Norwegian @ 8.372
5 Norwegian + Orcadian + Orcadian + Orcadian @ 8.381
6 Dutch + Norwegian + Norwegian + Norwegian @ 8.393
7 Dutch + Norwegian + Orcadian + Orcadian @ 8.408
8 Norwegian + Orcadian + Orcadian + Swedish @ 8.410
9 Norwegian + Norwegian + Orcadian + Swedish @ 8.478
10 Norwegian + Norwegian + Norwegian + Southwest_English @ 8.518
11 Orcadian + Orcadian + Orcadian + Swedish @ 8.542
12 Dutch + Norwegian + Orcadian + Swedish @ 8.570
13 Dutch + Dutch + Norwegian + Norwegian @ 8.586
14 Dutch + Dutch + Norwegian + Orcadian @ 8.598
15 Norwegian + Norwegian + Orcadian + Southwest_English @ 8.605
16 Dutch + Orcadian + Orcadian + Swedish @ 8.606
17 North_Swedish + Orcadian + Orcadian + Orcadian @ 8.675
18 North_Swedish + Norwegian + Orcadian + Orcadian @ 8.677
19 Orcadian + Orcadian + Swedish + Swedish @ 8.699
20 French + Norwegian + Norwegian + Norwegian @ 8.708

Oracle X:

Pct. Calc. Option 1

1 Norwegian 59.40%
2 Orcadian 35.25%
3 Armenian 3.20%
4 Lezgin 1.55%
5 Sardinian 0.56%
6 Dutch 0.03%
7 Swedish 0.01%
8 Moroccan 0.00%
9 Spanish_Galicia 0.00%
10 Algerian 0.00%

Very interesting results, is this 1 accurate for my known ancestry?

Davidski said...

No it isn't, because the Dutch reference sample is from all over Holland, but you look like you have ancestry from Frisia, or at least northern Holland (I'm going by the high North Sea score). So the algorithm compensates by giving you Norwegian in many of the results. It'd be useful to have samples from northern Holland and/or north Germany in this case.

Tesmos said...

Interesting, makes sense, thanks for the info.

I forgot the post the other Oracle here is the Oracle normal:

Single Population Sharing:

# Population (source) Distance
1 Norwegian 7.22
2 Orcadian 7.55
3 Dutch 8
4 Swedish 8.76
5 Danish 10.27
6 Southwest_English 10.61
7 Southeast_English 10.94
8 West_Scottish 10.97
9 German 11.21
10 North_Swedish 11.22
11 Irish 11.62
12 French 15.53
13 Southwest_Finnish 18.31
14 Hungarian 19.38
15 Finnish 20.08
16 Austrian 21.32
17 Spanish_Galicia 22.44
18 Serbian 23.09
19 Spanish_Cataluna 23.76
20 Portuguese 23.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.2% Norwegian + 4.8% Armenian @ 6.68
2 95.8% Norwegian + 4.2% Georgian @ 6.77
3 96% Norwegian + 4% Abhkasian @ 6.77
4 95.8% Norwegian + 4.2% Assyrian @ 6.81
5 96.2% Norwegian + 3.8% Lebanese_Christian @ 6.85
6 95.4% Norwegian + 4.6% Lezgin @ 6.85
7 93.7% Orcadian + 6.3% Lezgin @ 6.86
8 95.8% Norwegian + 4.2% Cyprian @ 6.87
9 96.2% Norwegian + 3.8% Samaritan @ 6.87
10 95.5% Norwegian + 4.5% Kumyk @ 6.88
11 96% Norwegian + 4% Syrian @ 6.88
12 96% Norwegian + 4% Lebanese_Muslim @ 6.89
13 96.1% Norwegian + 3.9% Kurdish @ 6.9
14 96.4% Norwegian + 3.6% Lebanese_Druze @ 6.9
15 95.7% Norwegian + 4.3% Turkish @ 6.9
16 96% Norwegian + 4% Sardinian @ 6.91
17 95.9% Norwegian + 4.1% Chechen @ 6.92
18 96.3% Norwegian + 3.7% Iranian @ 6.92
19 96.3% Norwegian + 3.7% Jordanian @ 6.92
20 96.1% Norwegian + 3.9% Balkar @ 6.92

Jenofonte L. said...

My results are:

1 Atlantic 30.09
2 North_Sea 26.54
3 West_Med 22.51
4 Red_Sea 8.46
5 Baltic 7
6 Northeast_African 2.79
7 West_Asian 2
8 East_Med 0.31
9 Oceanian 0.3

Single Population Sharing:

# Population (source) Distance
1 Spanish_Galicia 10.51
2 Spanish_Cantabria 10.6
3 Spanish_Castilla_Y_Leon 10.69
4 Portuguese 11.48
5 Spanish_Cataluna 11.83
6 Spanish_Extremadura 11.97
7 Southwest_French 12.38
8 French 12.45
9 Spanish_Castilla_La_Mancha 12.68
10 Spanish_Murcia 12.88
11 Spanish_Aragon 12.91
12 Spanish_Valencia 14.19
13 Spanish_Andalucia 14.8
14 Southwest_English 16.73
15 French_Basque 17.91
16 North_Italian 18.12
17 Southeast_English 18.5
18 German 18.82
19 Irish 19.83
20 Dutch 20.3

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80% Spanish_Cantabria + 20% Orcadian @ 9.37
2 73.7% Spanish_Cantabria + 26.3% Southwest_English @ 9.38
3 76.7% Spanish_Galicia + 23.3% French_Basque @ 9.44
4 78.6% Spanish_Cantabria + 21.4% Irish @ 9.49
5 79.4% Spanish_Cantabria + 20.6% West_Scottish @ 9.5
6 79.4% Spanish_Cantabria + 20.6% Dutch @ 9.53
7 82.5% Spanish_Cantabria + 17.5% Norwegian @ 9.54
8 83.3% Spanish_Cantabria + 16.7% Swedish @ 9.55
9 78% Spanish_Cantabria + 22% Southeast_English @ 9.61
10 80.8% Spanish_Cantabria + 19.2% Danish @ 9.68
11 64.5% Spanish_Cantabria + 35.5% French @ 9.69
12 76.3% Spanish_Castilla_Y_Leon + 23.7% Southwest_English @ 9.83
13 51.7% Spanish_Galicia + 48.3% Spanish_Cantabria @ 9.86
14 80.5% Spanish_Cantabria + 19.5% German @ 9.86
15 87% Spanish_Cantabria + 13% North_Swedish @ 9.94
16 83.3% Spanish_Castilla_Y_Leon + 16.7% Orcadian @ 9.96
17 80% Spanish_Galicia + 20% Southwest_English @ 9.96
18 83.9% Spanish_Galicia + 16.1% Irish @ 9.98
19 82.6% Spanish_Castilla_Y_Leon + 17.4% West_Scottish @ 10.01
20 84.9% Spanish_Galicia + 15.1% West_Scottish @ 10.02

Jenofonte L. said...

Admix Results (sorted):

# Population Percent
1 Atlantic 30.09
2 North_Sea 26.54
3 West_Med 22.51
4 Red_Sea 8.46
5 Baltic 7
6 Northeast_African 2.79
7 West_Asian 2
8 East_Med 0.31
9 Oceanian 0.3

Single Population Sharing:

# Population (source) Distance
1 Spanish_Galicia 10.51
2 Spanish_Cantabria 10.6
3 Spanish_Castilla_Y_Leon 10.69
4 Portuguese 11.48
5 Spanish_Cataluna 11.83
6 Spanish_Extremadura 11.97
7 Southwest_French 12.38
8 French 12.45
9 Spanish_Castilla_La_Mancha 12.68
10 Spanish_Murcia 12.88
11 Spanish_Aragon 12.91
12 Spanish_Valencia 14.19
13 Spanish_Andalucia 14.8
14 Southwest_English 16.73
15 French_Basque 17.91
16 North_Italian 18.12
17 Southeast_English 18.5
18 German 18.82
19 Irish 19.83
20 Dutch 20.3

Jenofonte L. said...

Oracle-4

Using 4 populations approximation:
1 French_Basque + Southwest_English + Spanish_Galicia + Spanish_Galicia @ 10.267
2 French_Basque + Orcadian + Spanish_Galicia + Spanish_Galicia @ 10.496
3 French_Basque + Irish + Spanish_Galicia + Spanish_Galicia @ 10.503
4 French_Basque + Spanish_Galicia + Spanish_Galicia + West_Scottish @ 10.561
5 Dutch + French_Basque + Spanish_Galicia + Spanish_Galicia @ 10.603
6 Southwest_English + Spanish_Cantabria + Spanish_Cantabria + Spanish_Galicia @ 10.604
7 French_Basque + Southeast_English + Spanish_Galicia + Spanish_Galicia @ 10.613
8 French_Basque + Orcadian + Spanish_Cantabria + Spanish_Galicia @ 10.638
9 French_Basque + Southwest_English + Spanish_Cantabria + Spanish_Galicia @ 10.641
10 French_Basque + Southwest_English + Spanish_Castilla_Y_Leon + Spanish_Galicia @ 10.643
11 French_Basque + Portuguese + Southwest_English + Spanish_Galicia @ 10.670
12 Southwest_English + Spanish_Cantabria + Spanish_Cantabria + Spanish_Cantabria @ 10.707
13 French_Basque + Orcadian + Spanish_Castilla_Y_Leon + Spanish_Galicia @ 10.736
14 Irish + Spanish_Cantabria + Spanish_Cantabria + Spanish_Galicia @ 10.744
15 Orcadian + Spanish_Cantabria + Spanish_Cantabria + Spanish_Cantabria @ 10.752
16 Dutch + French_Basque + Spanish_Cantabria + Spanish_Galicia @ 10.761
17 French + French_Basque + Spanish_Galicia + Spanish_Galicia @ 10.773
18 Southwest_English + Spanish_Cantabria + Spanish_Cantabria + Spanish_Castilla_Y_Leon @ 10.782
19 French_Basque + Southwest_English + Spanish_Extremadura + Spanish_Galicia @ 10.796
20 Spanish_Cantabria + Spanish_Cantabria + Spanish_Galicia + West_Scottish @ 10.808

4005925 iterations.

Oracle-x
Pct. Calc. Option 1
1 Spanish_Galicia 46.44%
2 French_Basque 26.54%
3 Southwest_English 23.81%
4 Somali 3.21%
5 Orcadian 0.00%
6 Swedish 0.00%
7 French 0.00%
8 Spanish_Cantabria 0.00%
9 Spanish_Castilla_Y_Leon 0.00%
10 Portuguese 0.00%

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Spanish_Galicia 33.27%
2 Spanish_Cantabria 21.82%
3 French_Basque 19.41%
4 Swedish 7.49%
5 Orcadian 5.15%
6 Somali 4.62%
7 Southwest_English 3.57%
8 Irish 3.00%
9 French 1.65%
10 Spanish_Castilla_Y_Leon 0.00%

As a total neophyte, I have no idea of how to interpret my results.
As far as I know, 6 of my great-grandparents are from Castilla-La Mancha, and all the Orcadian and Southwest English references make me wonder.

Could that be related to my y-dna haplogroup R-P310*?

I'd be very thankful if you can help me with this.

Davidski said...

The differences within Iberia are usually very small, unless you're comparing Basque country and surrounds to the rest. So you're non La Mancha great-grandparents could be skewing the results. But that's just one of the possibilities.

For now, my recommendation is to use the 4-Ancestors Oracle for one, two, three and four population approximations, and then the other oracles just to see what else you can tease out of the data. That's not a guarantee of a bullseye result for everyone, but it should be accurate enough.

The appearance of the Orcadians and Southwest English in your results isn't directly linked to R-P310*. It's just that populations with high frequencies of this marker and the Atlantic component settled in Britain, Ireland, France and Iberia, probably at around the same time. I'm guessing they were Bell Beakers and/or Celts.

sds said...

# Population Percent
1 North_Sea 30.96
2 Atlantic 22.94
3 Baltic 11.59
4 West_Med 11.45
5 Eastern_Euro 9.62
6 West_Asian 6.99
7 East_Med 3.59
8 Red_Sea 1.43
9 South_Asian 1.43


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

Using 1 population approximation:
1 German @ 4.647
2 Dutch @ 8.263
3 French @ 8.583
4 Southwest_English @ 8.762
5 Southeast_English @ 9.843
6 Danish @ 10.769
7 Irish @ 11.482
8 Norwegian @ 11.941
9 West_Scottish @ 12.015
10 Orcadian @ 12.317

Using 2 populations approximation:
1 50% French +50% German @ 4.527
2 50% Hungarian +50% Southwest_English @ 4.620
3 50% German +50% German @ 4.647
4 50% Orcadian +50% Serbian @ 4.856
5 50% French +50% Swedish @ 4.960
6 50% Dutch +50% French @ 4.978
7 50% French +50% North_Swedish @ 5.021
8 50% French +50% Norwegian @ 5.227
9 50% Hungarian +50% Southeast_English @ 5.274
10 50% Serbian +50% West_Scottish @ 5.392

Using 3 populations approximation:
1 50% Dutch +25% Romanian +25% Southwest_English @ 2.933
2 50% Southwest_English +25% Dutch +25% Romanian @ 3.053
3 50% Southwest_English +25% Norwegian +25% Romanian @ 3.065
4 50% Dutch +25% Bulgarian +25% Southwest_English @ 3.107
5 50% Southwest_English +25% Bulgarian +25% Norwegian @ 3.137
6 50% Southwest_English +25% Romanian +25% Swedish @ 3.241
7 50% Dutch +25% French +25% Serbian @ 3.244
8 50% Southwest_English +25% Bulgarian +25% Swedish @ 3.341
9 50% Southwest_English +25% Bulgarian +25% Dutch @ 3.395
10 50% Southwest_English +25% German +25% Romanian @ 3.396

Using 4 populations approximation:
1 Dutch + Dutch + Romanian + Southwest_English @ 2.933
2 Dutch + Romanian + Southwest_English + Southwest_English @ 3.053
3 Norwegian + Romanian + Southwest_English + Southwest_English @ 3.065
4 Dutch + German + Romanian + Southwest_English @ 3.101
5 Bulgarian + Dutch + Dutch + Southwest_English @ 3.107
6 Bulgarian + Norwegian + Southwest_English + Southwest_English @ 3.137
7 German + Orcadian + Romanian + Southwest_English @ 3.165
8 French + Norwegian + Orcadian + Romanian @ 3.185
9 German + Norwegian + Romanian + Southwest_English @ 3.197
10 Dutch + French + Norwegian + Romanian @ 3.202
11 Dutch + French + Orcadian + Romanian @ 3.215
12 French + Norwegian + Serbian + Southwest_English @ 3.230
13 Romanian + Southwest_English + Southwest_English + Swedish @ 3.241
14 Dutch + Dutch + French + Serbian @ 3.244
15 French + Norwegian + Romanian + Southwest_English @ 3.266
16 Dutch + German + Serbian + Southwest_English @ 3.268
17 French + Serbian + Southwest_English + Swedish @ 3.277
18 Bulgarian + Dutch + Norwegian + Southwest_English @ 3.294
19 Bulgarian + Dutch + Orcadian + Southwest_English @ 3.304
20 Dutch + French + Norwegian + Serbian @ 3.307

Pct. Calc. Option 1
1 German 45.25%
2 Norwegian 37.40%
3 Sardinian 9.34%
4 Chechen 6.49%
5 Punjabi_Jat 1.21%
6 Hakas 0.20%
7 Shors 0.08%
8 Nogay 0.03%
9 Makrani 0.00%
10 Lezgin 0.00%

Jenofonte L. said...

Ok, thank you for your quick answer.

In any case, aren't the distance figures quite big? I mean, seeing other people results, they are usually lower than 10 (at least that's the case with the first elements of the list). Could that be a sign of recent admixture?

Davidski said...

It might be, but I haven't looked at any other Iberian results yet, so I dunno? It might just be an Iberian thing. You should compare your results with as many users from Castilla-La Mancha as you can find.

Jenofonte L. said...

I see.
Are there public databases in order to make comparisons?
Thank you so much for everything and keep up the amazing job you are doing.

Davidski said...

This is the only public database for this test. You need to find Spanish 23andMe, FTDNA and Ancestry customers, get them to run the test, and post the results here.

Jenofonte L. said...

Ok,
I'll try to find and convince people to do it.

Infidel said...

Kit F238654

Admix Results (sorted):

# Population Percent
1 North_Sea 20.69
2 Atlantic 19.22
3 Baltic 18.02
4 Eastern_Euro 12.32
5 East_Med 11.38
6 West_Med 10.87
7 West_Asian 4.52
8 Red_Sea 1.19
9 Siberian 1.05
10 South_Asian 0.46
11 Oceanian 0.28

Single Population Sharing:

# Population (source) Distance
1 Serbian 5.17
2 Austrian 5.55
3 Hungarian 5.65
4 Romanian 8.71
5 Bulgarian 11.24
6 Polish 12.57
7 Ukrainian_West 12.7
8 Ukrainian 13.32
9 German 14.2
10 French 14.56
11 Southwest_Finnish 15.28
12 Russian 16.54
13 Finnish 16.58
14 North_Italian 16.9
15 Ukrainian_Northeast 17.1
16 Spanish_Galicia 17.32
17 Spanish_Cataluna 17.58
18 Portuguese 17.9
19 Dutch 17.91
20 Belorussian 18.06

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.6% Tuscan + 49.4% Estonian @ 2.59
2 55.3% Southwest_Finnish + 44.7% Greek @ 2.76
3 80.5% Hungarian + 19.5% Greek @ 3.45
4 58.2% Bulgarian + 41.8% Southwest_Finnish @ 3.47
5 53.8% Serbian + 46.2% Hungarian @ 3.49
6 53.6% North_Italian + 46.4% Estonian @ 3.49
7 80.8% Hungarian + 19.2% Tuscan @ 3.51
8 53.1% Serbian + 46.9% Austrian @ 3.52
9 79.7% Serbian + 20.3% Southwest_Finnish @ 3.52
10 60.7% Polish + 39.3% Tuscan @ 3.56
11 87.6% Hungarian + 12.4% Sephardic_Jewish @ 3.57
12 79.4% Hungarian + 20.6% North_Italian @ 3.7
13 82% Serbian + 18% Finnish @ 3.75
14 84.3% Serbian + 15.7% Estonian @ 3.76
15 57.9% Polish + 42.1% North_Italian @ 3.78
16 65.5% Romanian + 34.5% Southwest_Finnish @ 3.88
17 72% Hungarian + 28% Bulgarian @ 3.9
18 62.7% Bulgarian + 37.3% North_Swedish @ 3.95
19 59.3% Ukrainian + 40.7% Tuscan @ 3.95
20 56.4% Ukrainian + 43.6% North_Italian @ 3.98

X- Option 1:
1 Hungarian 25.10%
2 Finnish 19.68%
3 Spanish_Valencia 17.32%
4 Greek 17.23%
5 Lithuanian 12.30%
6 Serbian 5.34%
7 Yemenite_Jewish 2.98%
8 Tuscan 0.05%
9 Bulgarian 0.00%
10 Romanian 0.00%

X- Option 2:
1 Serbian 49.07%
2 Finnish 16.81%
3 Spanish_Valencia 7.97%
4 Lithuanian 5.73%
5 Spanish_Andalucia 5.66%
6 Bulgarian 5.05%
7 Greek 3.67%
8 Belorussian 2.90%
9 Hungarian 2.04%
10 Estonian 1.09%

Predominantly Hungarian ancestry, with some German roots. Because I have Y-DNA haplogroup J2b* I think the Oracle results 80-90% Hungarian, 10-20% Greek, Tuscan, Sephardi or other sothern-south-eastern population could be the most accurate.

Davidski said...

I'm going to add some more reference samples in a few days which might change the outcomes for some people, especially those from Southern Europe.

But what do your Oracle 4 results look like (1, 2, 3 and 4 populations)?

Waviking26 said...

50% British, 25% German, 25% French:

Admix Results (sorted):
# Population Percent
1 North_Sea 31.25
2 Atlantic 30.36
3 Eastern_Euro 11.37
4 West_Med 10.50
5 Baltic 6.56
6 West_Asian 3.39
7 South_Asian 2.99
8 East_Med 2.40
9 Sub-Saharan 1.18


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

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 6.880
2 Southeast_English @ 7.012
3 Danish @ 8.138
4 Irish @ 8.940
5 West_Scottish @ 9.020
6 German @ 9.080
7 Dutch @ 9.826
8 French @ 10.765
9 Orcadian @ 11.529
10 Norwegian @ 13.869
165 iterations.



Using 2 populations approximation:
1 50% Danish +50% French @ 6.245
2 50% French +50% West_Scottish @ 6.433
3 50% French +50% Irish @ 6.759
4 50% French +50% Southeast_English @ 6.786
5 50% Southeast_English +50% Southwest_English @ 6.810
6 50% Southwest_English +50% Southwest_English @ 6.880
7 50% Southeast_English +50% Southeast_English @ 7.012
8 50% Danish +50% Southwest_English @ 7.060
9 50% French +50% Southwest_English @ 7.333
10 50% German +50% Southwest_English @ 7.348
13695 iterations.



Using 3 populations approximation:
1 50% Danish +25% Danish +25% Spanish_Castilla_La_Mancha @ 4.913
2 50% Danish +25% Danish +25% Spanish_Cantabria @ 4.935
3 50% Danish +25% Danish +25% Spanish_Aragon @ 5.068
4 50% Danish +25% Danish +25% Spanish_Valencia @ 5.087
5 50% Danish +25% Danish +25% Southwest_French @ 5.087
6 50% Danish +25% Spanish_Castilla_La_Mancha +25% West_Scottish @ 5.135
7 50% Danish +25% Spanish_Cantabria +25% West_Scottish @ 5.169
8 50% Danish +25% Danish +25% Spanish_Andalucia @ 5.175
9 50% Danish +25% Southeast_English +25% Spanish_Cantabria @ 5.190
10 50% Danish +25% Southeast_English +25% Spanish_Castilla_La_Mancha @ 5.215
349074 iterations.



Using 4 populations approximation:
1 Danish + Danish + Danish + Spanish_Castilla_La_Mancha @ 4.913
2 Danish + Danish + Danish + Spanish_Cantabria @ 4.935
3 Danish + Danish + Danish + Spanish_Aragon @ 5.068
4 Danish + Danish + Danish + Spanish_Valencia @ 5.087
5 Danish + Danish + Danish + Southwest_French @ 5.087
6 Danish + Danish + Spanish_Castilla_La_Mancha + West_Scottish @ 5.135
7 Danish + Danish + Spanish_Cantabria + West_Scottish @ 5.169
8 Danish + Danish + Danish + Spanish_Andalucia @ 5.175
9 Danish + Danish + Southeast_English + Spanish_Cantabria @ 5.190
10 Danish + Danish + Southeast_English + Spanish_Castilla_La_Mancha @ 5.215
11 Danish + Danish + Orcadian + Spanish_Castilla_La_Mancha @ 5.266
12 Danish + Danish + Spanish_Valencia + West_Scottish @ 5.271
13 Danish + Danish + Dutch + Spanish_Castilla_La_Mancha @ 5.277
14 Danish + Danish + French_Basque + North_Swedish @ 5.285
15 Danish + Danish + Southwest_French + West_Scottish @ 5.314
16 Danish + Danish + Southeast_English + Southwest_French @ 5.321
17 Danish + Danish + Spanish_Aragon + West_Scottish @ 5.322
18 Danish + Danish + Danish + Spanish_Extremadura @ 5.326
19 Danish + Danish + Southwest_English + Spanish_Castilla_La_Mancha @ 5.326
20 Danish + Danish + Spanish_Andalucia + West_Scottish @ 5.330

Seems to be fairly similar to the original Eutest as that one put me as Cornish for the single population reference. This one shows quite a bit more Danish though, which is different. Any idea why? Also is 2.99% South Asian typical for a colonial American of British/German descent? Thanks for the calculator!

Ainnir said...

Not sure what to think of this since as far as I've been able to trace it (1500s), all my lines are 100% Dutch, with about 50% of them Frisian.

Admix Results (sorted):

# Population Percent
1 North_Sea 36.95
2 Atlantic 29.70
3 Baltic 11.80
4 West_Med 11.29
5 Eastern_Euro 8.49
6 West_Asian 1.77


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

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 3.929
2 Southeast_English @ 4.630
3 Irish @ 5.045
4 West_Scottish @ 5.294
5 Danish @ 5.736
6 Dutch @ 5.948
7 Orcadian @ 6.724
8 German @ 8.432
9 Norwegian @ 9.188
10 Swedish @ 10.769
165 iterations.



Using 2 populations approximation:
1 50% Irish +50% Southwest_English @ 3.781
2 50% Southwest_English +50% West_Scottish @ 3.817
3 50% Southwest_English +50% Southwest_English @ 3.929
4 50% Southeast_English +50% Southwest_English @ 4.070
5 50% Danish +50% Southwest_English @ 4.152
6 50% Dutch +50% Southwest_English @ 4.163
7 50% Orcadian +50% Southwest_English @ 4.177
8 50% Dutch +50% Southeast_English @ 4.582
9 50% Irish +50% Southeast_English @ 4.630
10 50% Southeast_English +50% Southeast_English @ 4.630
13695 iterations.



Using 3 populations approximation:
1 50% Norwegian +25% French_Basque +25% Orcadian @ 3.605
2 50% Swedish +25% French_Basque +25% Orcadian @ 3.607
3 50% Norwegian +25% French_Basque +25% Norwegian @ 3.615
4 50% Southwest_English +25% Southwest_English +25% West_Scottish @ 3.635
5 50% Southwest_English +25% Orcadian +25% Southwest_English @ 3.636
6 50% Southwest_English +25% Irish +25% Southwest_English @ 3.651
7 50% Southwest_English +25% Norwegian +25% Southwest_English @ 3.688
8 50% Southwest_English +25% Dutch +25% Irish @ 3.696
9 50% Norwegian +25% French_Basque +25% Swedish @ 3.709
10 50% Southwest_English +25% Irish +25% Orcadian @ 3.714
300711 iterations.



Using 4 populations approximation:
1 French_Basque + Norwegian + Orcadian + Swedish @ 3.534
2 French_Basque + Norwegian + Norwegian + Orcadian @ 3.605
3 French_Basque + Orcadian + Swedish + Swedish @ 3.607
4 French_Basque + Norwegian + Norwegian + Norwegian @ 3.615
5 Southwest_English + Southwest_English + Southwest_English + West_Scottish @ 3.635
6 Orcadian + Southwest_English + Southwest_English + Southwest_English @ 3.636
7 Irish + Southwest_English + Southwest_English + Southwest_English @ 3.651
8 Norwegian + Southwest_English + Southwest_English + Southwest_English @ 3.688
9 Dutch + Irish + Southwest_English + Southwest_English @ 3.696
10 French_Basque + Norwegian + Norwegian + Swedish @ 3.709
11 Irish + Orcadian + Southwest_English + Southwest_English @ 3.714
12 Dutch + Southwest_English + Southwest_English + West_Scottish @ 3.730
13 Irish + Southwest_English + Southwest_English + West_Scottish @ 3.779
14 Irish + Irish + Southwest_English + Southwest_English @ 3.781
15 Irish + Norwegian + Southwest_English + Southwest_English @ 3.784
16 Dutch + Southwest_English + Southwest_English + Southwest_English @ 3.791
17 Southwest_English + Southwest_English + West_Scottish + West_Scottish @ 3.817
18 Orcadian + Southeast_English + Southwest_English + Southwest_English @ 3.821
19 Danish + Southwest_English + Southwest_English + Southwest_English @ 3.821
20 Orcadian + Southwest_English + Southwest_English + West_Scottish @ 3.821

1946272 iterations.

Sean C. Wright said...

Cannot seem to find a population closely related to me. I uploaded my results from National geographic GENO 2.0. That may have something to do with it. However, with my known ancestry, this looks correct as far as admixture,except for the sub-Saharan.
Population
North_Sea 42.84%
Atlantic 30.88%
Baltic 7.04%
Eastern_Euro 7.51%
West_Med -
West_Asian 1.95%
East_Med -
Red_Sea 4.02%
South_Asian -
Southeast_Asian -
Siberian -
Amerindian -
Oceanian -
Northeast_African 4.02%
Sub-Saharan 1.74%

Using 1 population approximation:
1 Orcadian @ 10.846
2 West_Scottish @ 11.005
3 Danish @ 11.830
4 Irish @ 11.899
5 Southeast_English @ 13.465
6 Norwegian @ 13.976
7 Dutch @ 14.243
8 Swedish @ 15.026
9 Southwest_English @ 15.161
10 German @ 17.751
165 iterations.



Using 2 populations approximation:
1 50% Orcadian +50% West_Scottish @ 10.665
2 50% Orcadian +50% Orcadian @ 10.846
3 50% West_Scottish +50% West_Scottish @ 11.005
4 50% Irish +50% Orcadian @ 11.014
5 50% Danish +50% Orcadian @ 11.115
6 50% Danish +50% West_Scottish @ 11.376
7 50% Irish +50% West_Scottish @ 11.434
8 50% Danish +50% Irish @ 11.784
9 50% Orcadian +50% Southeast_English @ 11.825
10 50% Danish +50% Danish @ 11.830
13695 iterations.



Using 3 populations approximation:
1 50% Orcadian +25% West_Scottish +25% West_Scottish @ 10.665
2 50% West_Scottish +25% Orcadian +25% Orcadian @ 10.665
3 50% Orcadian +25% Orcadian +25% West_Scottish @ 10.690
4 50% West_Scottish +25% Orcadian +25% West_Scottish @ 10.771
5 50% Orcadian +25% Irish +25% West_Scottish @ 10.834
6 50% Orcadian +25% Irish +25% Orcadian @ 10.835
7 50% Orcadian +25% Orcadian +25% Orcadian @ 10.846
8 50% Orcadian +25% Danish +25% West_Scottish @ 10.880
9 50% Orcadian +25% Danish +25% Orcadian @ 10.922
10 50% West_Scottish +25% Irish +25% Orcadian @ 10.962
809396 iterations.



Using 4 populations approximation:
1 Orcadian + Orcadian + West_Scottish + West_Scottish @ 10.665
2 Orcadian + Orcadian + Orcadian + West_Scottish @ 10.690
3 Orcadian + West_Scottish + West_Scottish + West_Scottish @ 10.771
4 Irish + Orcadian + Orcadian + West_Scottish @ 10.834
5 Irish + Orcadian + Orcadian + Orcadian @ 10.835
6 Orcadian + Orcadian + Orcadian + Orcadian @ 10.846
7 Danish + Orcadian + Orcadian + West_Scottish @ 10.880
8 Danish + Orcadian + Orcadian + Orcadian @ 10.922
9 Irish + Orcadian + West_Scottish + West_Scottish @ 10.962
10 Danish + Orcadian + West_Scottish + West_Scottish @ 10.966
11 West_Scottish + West_Scottish + West_Scottish + West_Scottish @ 11.005
12 Irish + Irish + Orcadian + Orcadian @ 11.014
13 Danish + Irish + Orcadian + Orcadian @ 11.043
14 Danish + Danish + Orcadian + Orcadian @ 11.115
15 Danish + Irish + Orcadian + West_Scottish @ 11.152
16 Irish + Irish + Orcadian + West_Scottish @ 11.163
17 Danish + West_Scottish + West_Scottish + West_Scottish @ 11.179
18 Danish + Danish + Orcadian + West_Scottish @ 11.183
19 Norwegian + Orcadian + West_Scottish + West_Scottish @ 11.197
20 Irish + West_Scottish + West_Scottish + West_Scottish @ 11.215

7459328 iterations.

giorgoa said...

Full Greek here. The results weren t accurate for me.I got too much french basque spanish and shephardic jewish in the oracle test which I haven t got in any other test.It was the first test though that had Greek as the closest population.

Infidel said...

Least-squares method.

Using 1 population approximation:
1 Serbian @ 6.055
2 Austrian @ 6.461
3 Hungarian @ 6.586
4 Romanian @ 10.269
5 Bulgarian @ 13.229
6 Polish @ 14.544
7 Ukrainian_West @ 14.734
8 Ukrainian @ 15.469
9 German @ 16.588
10 French @ 16.823
165 iterations.



Using 2 populations approximation:
1 50% Estonian +50% Tuscan @ 3.042
2 50% Greek +50% Southwest_Finnish @ 3.905
3 50% Hungarian +50% Serbian @ 4.130
4 50% Austrian +50% Serbian @ 4.144
5 50% Estonian +50% North_Italian @ 4.334
6 50% Belorussian +50% North_Italian @ 4.643
7 50% Bulgarian +50% Southwest_Finnish @ 4.686
8 50% Finnish +50% Greek @ 4.894
9 50% Belorussian +50% Tuscan @ 4.978
10 50% North_Italian +50% Ukrainian @ 5.004
13695 iterations.



Using 3 populations approximation:
1 50% Estonian +25% Sephardic_Jewish +25% Southwest_French @ 2.785
2 50% Tuscan +25% Lithuanian +25% Southwest_Finnish @ 2.804
3 50% Estonian +25% Sephardic_Jewish +25% Spanish_Cataluna @ 2.819
4 50% Estonian +25% Sephardic_Jewish +25% Spanish_Valencia @ 2.824
5 50% Tuscan +25% Finnish +25% Lithuanian @ 2.857
6 50% Estonian +25% Ashkenazi +25% Spanish_Valencia @ 3.019
7 50% Estonian +25% Sephardic_Jewish +25% Spanish_Cantabria @ 3.032
8 50% Estonian +25% Tuscan +25% Tuscan @ 3.042
9 50% Tuscan +25% Estonian +25% Estonian @ 3.042
10 50% Serbian +25% Estonian +25% North_Italian @ 3.087
323759 iterations.



Using 4 populations approximation:
1 Estonian + Greek + North_Italian + Southwest_Finnish @ 2.112
2 Greek + Lithuanian + North_Italian + North_Swedish @ 2.189
3 Estonian + Finnish + Greek + North_Italian @ 2.532
4 Belorussian + Greek + North_Italian + North_Swedish @ 2.625
5 Estonian + Greek + Southwest_Finnish + Tuscan @ 2.676
6 Finnish + Lithuanian + North_Italian + Tuscan @ 2.697
7 Estonian + Estonian + Sephardic_Jewish + Southwest_French @ 2.785
8 Lithuanian + Southwest_Finnish + Tuscan + Tuscan @ 2.804
9 Estonian + Estonian + Sephardic_Jewish + Spanish_Cataluna @ 2.819
10 Estonian + Estonian + Sephardic_Jewish + Spanish_Valencia @ 2.824
11 Estonian + Greek + Polish + Spanish_Murcia @ 2.827
12 Austrian + Estonian + Serbian + Tuscan @ 2.837
13 Estonian + Greek + Spanish_Murcia + Ukrainian @ 2.856
14 Finnish + Lithuanian + Tuscan + Tuscan @ 2.857
15 Greek + Lithuanian + North_Italian + Southwest_Finnish @ 2.864
16 Greek + Lithuanian + North_Swedish + Tuscan @ 2.895
17 Belorussian + Estonian + North_Italian + Tuscan @ 2.900
18 Belorussian + Greek + North_Italian + Southwest_Finnish @ 2.918
19 Belorussian + Bulgarian + North_Swedish + Tuscan @ 2.940
20 Ashkenazi + Lithuanian + Southwest_Finnish + Spanish_Cataluna @ 2.954

917700 iterations.

Done.

Elapsed time 0.8320 seconds


Do the Oracle 4 results have any meaning? How could I interpret them?

syb nunya said...

Kit Number: M113618

Admix Results (sorted):

# Population Percent
1 North_Sea 29.68
2 Atlantic 23.62
3 Baltic 18.35
4 West_Med 10.75
5 Eastern_Euro 10.40
6 West_Asian 3.99
7 Red_Sea 2.18
8 South_Asian 1.03


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

Least-squares method.

Using 1 population approximation:
1 German @ 7.498
2 Dutch @ 10.225
3 Hungarian @ 11.666
4 Swedish @ 11.842
5 Southwest_Finnish @ 12.076
6 Southwest_English @ 12.085
7 North_Swedish @ 12.206
8 Austrian @ 12.334
9 Norwegian @ 12.497
10 Southeast_English @ 12.774
165 iterations.



Using 2 populations approximation:
1 50% Southwest_English +50% Ukrainian_West @ 4.416
2 50% Polish +50% Southwest_English @ 4.461
3 50% Southwest_English +50% Ukrainian @ 4.864
4 50% Southeast_English +50% Ukrainian_West @ 5.013
5 50% Irish +50% Ukrainian_West @ 5.057
6 50% Ukrainian_West +50% West_Scottish @ 5.254
7 50% Polish +50% Southeast_English @ 5.281
8 50% Southeast_English +50% Ukrainian @ 5.434
9 50% Irish +50% Ukrainian @ 5.455
10 50% Irish +50% Polish @ 5.457
13695 iterations.



Using 3 populations approximation:
1 50% Swedish +25% Southwest_French +25% Ukrainian_West @ 3.820
2 50% Swedish +25% Polish +25% Southwest_French @ 3.921
3 50% Swedish +25% Lithuanian +25% Spanish_Cantabria @ 3.943
4 50% Swedish +25% Southwest_French +25% Ukrainian @ 4.008
5 50% Norwegian +25% Lithuanian +25% Spanish_Cantabria @ 4.026
6 50% Swedish +25% Belorussian +25% Spanish_Cantabria @ 4.059
7 50% Norwegian +25% Lithuanian +25% Southwest_French @ 4.115
8 50% Swedish +25% Russian +25% Southwest_French @ 4.152
9 50% Swedish +25% Belorussian +25% Southwest_French @ 4.155
10 50% Southwest_English +25% German +25% Lithuanian @ 4.155
254298 iterations.



Using 4 populations approximation:
1 Dutch + Lithuanian + Spanish_Cantabria + Swedish @ 3.755
2 Southwest_French + Swedish + Swedish + Ukrainian_West @ 3.820
3 Lithuanian + Norwegian + Spanish_Cantabria + Swedish @ 3.920
4 Polish + Southwest_French + Swedish + Swedish @ 3.921
5 Dutch + Lithuanian + Norwegian + Spanish_Cantabria @ 3.936
6 Estonian + German + Southwest_French + Swedish @ 3.938
7 Lithuanian + Spanish_Cantabria + Swedish + Swedish @ 3.943
8 Dutch + Lithuanian + Southwest_French + Swedish @ 3.954
9 Dutch + French + Lithuanian + Southwest_English @ 3.955
10 Lithuanian + Orcadian + Spanish_Cantabria + Swedish @ 3.962
11 Lithuanian + Southwest_English + Spanish_Galicia + Swedish @ 3.977
12 Lithuanian + Southwest_English + Spanish_Cantabria + Swedish @ 3.983
13 Southwest_French + Swedish + Swedish + Ukrainian @ 4.008
14 Lithuanian + Orcadian + Southwest_French + Swedish @ 4.026
15 Lithuanian + Norwegian + Norwegian + Spanish_Cantabria @ 4.026
16 French + German + Lithuanian + Southwest_English @ 4.030
17 Irish + Lithuanian + Spanish_Galicia + Swedish @ 4.034
18 Irish + Lithuanian + Spanish_Cantabria + Swedish @ 4.039
19 Belorussian + Spanish_Cantabria + Swedish + Swedish @ 4.059
20 Dutch + Lithuanian + Norwegian + Southwest_French @ 4.061


*********************
Hi Davidski

I am not sure how to interpret these results - what do the Mixed Mode Population sharing numbers mean?

I think this is telling me I am Irish and German mainly? With some Maasai and Mayan waaaaay back there?

Thanks for any help!

C

Sarah Gazma said...

I am a Coptic Egyptian was was wondering if there were any Copts Egyptians used in this calculator?

Joshua said...

Kit Number: M115103

Admix Results (sorted):

Population
North_Sea 28.29%
Atlantic 30.10%
Baltic 12.03%
Eastern_Euro 9.42%
West_Med 8.74%
West_Asian 5.99%
East_Med 3.97%
Red_Sea 0.16%
South_Asian -
Southeast_Asian -
Siberian -
Amerindian 0.61%
Oceanian 0.70%
Northeast_African -
Sub-Saharan -


# Population Percent
1 Atlantic 30.55
2 North_Sea 28.71
3 Baltic 12.21
4 Eastern_Euro 9.56
5 West_Med 8.87
6 West_Asian 6.08
7 East_Med 4.03


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

Least-squares method.

Using 1 population approximation:
1 German @ 6.070
2 Southeast_English @ 8.009
3 Southwest_English @ 8.416
4 Irish @ 9.055
5 Danish @ 9.404
6 West_Scottish @ 10.052
7 Dutch @ 10.210
8 French @ 10.442
9 Orcadian @ 13.293
10 Austrian @ 13.542
165 iterations.



Using 2 populations approximation:
1 50% Austrian +50% Irish @ 5.003
2 50% Austrian +50% Southeast_English @ 5.038
3 50% Austrian +50% West_Scottish @ 5.053
4 50% Austrian +50% Southwest_English @ 5.433
5 50% Austrian +50% Danish @ 5.808
6 50% German +50% German @ 6.070
7 50% German +50% Southeast_English @ 6.261
8 50% German +50% Southwest_English @ 6.552
9 50% French +50% Irish @ 6.580
10 50% German +50% Irish @ 6.654
13695 iterations.



Using 3 populations approximation:
1 50% Irish +25% Austrian +25% Spanish_Cataluna @ 4.061
2 50% West_Scottish +25% Austrian +25% Southwest_French @ 4.078
3 50% West_Scottish +25% Austrian +25% Spanish_Valencia @ 4.095
4 50% West_Scottish +25% Austrian +25% Spanish_Cataluna @ 4.097
5 50% West_Scottish +25% Austrian +25% Spanish_Castilla_La_Mancha @ 4.164
6 50% Irish +25% Austrian +25% French @ 4.186
7 50% Irish +25% Austrian +25% Southwest_French @ 4.186
8 50% Irish +25% Austrian +25% Spanish_Valencia @ 4.200
9 50% Irish +25% Austrian +25% Spanish_Castilla_La_Mancha @ 4.238
10 50% West_Scottish +25% Austrian +25% Spanish_Aragon @ 4.302
287956 iterations.



Using 4 populations approximation:
1 Austrian + Irish + Spanish_Cataluna + West_Scottish @ 4.060
2 Austrian + Irish + Irish + Spanish_Cataluna @ 4.061
3 Austrian + Southwest_French + West_Scottish + West_Scottish @ 4.078
4 Austrian + Spanish_Valencia + West_Scottish + West_Scottish @ 4.095
5 Austrian + Spanish_Cataluna + West_Scottish + West_Scottish @ 4.097
6 Austrian + Irish + Southwest_French + West_Scottish @ 4.114
7 Austrian + Irish + Spanish_Valencia + West_Scottish @ 4.129
8 Austrian + Spanish_Castilla_La_Mancha + West_Scottish + West_Scottish @ 4.164
9 Austrian + Irish + Spanish_Castilla_La_Mancha + West_Scottish @ 4.184
10 Austrian + French + Irish + Irish @ 4.186
11 Austrian + Irish + Irish + Southwest_French @ 4.186
12 Austrian + French_Basque + Swedish + West_Scottish @ 4.191
13 Austrian + Irish + Irish + Spanish_Valencia @ 4.200
14 Austrian + Danish + Southwest_French + West_Scottish @ 4.206
15 Austrian + Danish + French_Basque + Swedish @ 4.207
16 Austrian + Danish + Irish + Southwest_French @ 4.235
17 Austrian + Danish + Irish + Spanish_Cataluna @ 4.238
18 Austrian + Irish + Irish + Spanish_Castilla_La_Mancha @ 4.238
19 Austrian + French_Basque + Irish + Swedish @ 4.240
20 Austrian + Danish + Spanish_Valencia + West_Scottish @ 4.274

Pct. Calc. Option 1

1 West_Scottish 58.93%
2 French_Basque 17.58%
3 Belorussian 11.51%
4 Adygei 5.83%
5 Austrian 3.90%
6 Lebanese_Druze 1.89%
7 Papuan 0.33%
8 German 0.02%
9 Romanian 0.01%
10 Bulgarian 0.00%

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 German 48.57%
2 Irish 17.57%
3 French_Basque 13.21%
4 Lezgin 6.19%
5 Belorussian 4.85%
6 Southwest_Finnish 4.28%
7 Austrian 2.19%
8 Spanish_Valencia 2.05%
9 Spanish_Aragon 1.08%
10 Adygei 0.00%

MfA said...

Hi David, Thanks for the new run.. The oracle is indeed the most accurate for me..
Since you are open for new reference groups for Oracle, I'd like to ask What is the lowest number for new reference samples for Oracle? Is 3 enough? Because I have 3 and 9 non-related Gedmatch IDs for 2 subgroups of Northern Kurds(Kurmanji and Zaza)..
Cheers

Black Taylor said...

3/4 English (mostly north England) and 1/4 Flemish:

# Population Percent
1 North_Sea 37.46
2 Atlantic 31.25
3 Baltic 11.15
4 West_Med 7.71
5 Eastern_Euro 6.06
6 West_Asian 4.99
7 East_Med 1.37

Using 1 population approximation:
1 Irish @ 3.190
2 West_Scottish @ 3.881
3 Southeast_English @ 4.282
4 Danish @ 5.417
5 Southwest_English @ 5.590
6 Orcadian @ 6.851
7 Dutch @ 7.535
8 German @ 8.999
9 Norwegian @ 10.528
10 Swedish @ 11.629

Using 4 populations approximation:
1 Irish + Irish + Irish + Irish @ 3.190
2 Irish + Irish + Irish + Southeast_English @ 3.272
3 Irish + Irish + Irish + Southwest_English @ 3.291
4 Irish + Irish + Irish + West_Scottish @ 3.308
5 Irish + Irish + Southeast_English + West_Scottish @ 3.388
6 Irish + Irish + Southwest_English + West_Scottish @ 3.391
7 Irish + Irish + West_Scottish + West_Scottish @ 3.466
8 Irish + Irish + Southeast_English + Southeast_English @ 3.500
9 Irish + Southwest_English + West_Scottish + West_Scottish @ 3.531
10 Irish + Southeast_English + West_Scottish + West_Scottish @ 3.543
11 Irish + Irish + Southeast_English + Southwest_English @ 3.597
12 Irish + Southeast_English + Southeast_English + West_Scottish @ 3.609
13 Irish + Irish + Irish + Orcadian @ 3.623
14 Irish + West_Scottish + West_Scottish + West_Scottish @ 3.658
15 Danish + Irish + Irish + Irish @ 3.678
16 Irish + Southeast_English + Southwest_English + West_Scottish @ 3.689
17 Southwest_English + West_Scottish + West_Scottish + West_Scottish @ 3.707
18 Irish + Irish + Orcadian + Southeast_English @ 3.720
19 Southeast_English + West_Scottish + West_Scottish + West_Scottish @ 3.732
20 Southeast_English + Southeast_English + West_Scottish + West_Scottish @ 3.755

jackson_montgomery_devoni said...

Davidski,

Is this ADMIXTURE analysis useful for people of mixed European background such as myself? Or is it not so much because the data is not phased?

Davidski said...

It should be useful for everyone.

Davidski said...

To make sure all variables are the same for every reference group, I'd have to run them myself.

jackson_montgomery_devoni said...

Okay great then thanks...Will be interesting to in which populations each component peaks and the FST distances once they are ready.

crowens3 said...

I'm American and on paper I'm about 50% German, 34% British, 10% Irish, and 6% Prussian with traces of Dutch and Swedish ancestry, and 7% unknown ancestry. 23andMe detected traces of Ashkenazi Jewish ancestry and Sub-Saharan ancestry. Multiple admixture tests seem to consistently detect South Asian ancestry (around 1% or so) and Amerindian + Arctic + Siberian ancestry (usually 0.5% to a little over 1%). I believe that this test may have combined my trace Ashkenazi ancestry with my trace Sub-Saharan African ancestry to yield the North_east African result.
Population Percent
North_Sea 36.10%
Atlantic 19.43%
West_Med 11.21%
Baltic 9.92%
Eastern_Euro 9.41%
West_Asian 6.13%
East_Med 4.52%
South_Asian 1.20%
Amerindian 0.80%
Northeast_African 0.74%
Oceanian 0.55%

Pct. Calc. Option 2

0 Unable to determine 0.02%
1 Dutch 48.12%
2 Swedish 13.34%
3 North_Swedish 8.40%
4 Norwegian 7.94%
5 Armenian 6.45%
6 Orcadian 5.38%
7 Sardinian 5.28%
8 Lezgin 4.03%
9 Ethiopian_Ari_cultivator 1.03%
10 Makrani 0.01%

Total RMSD: 1.430528


Elapsed time 0.6357 seconds.

Least-squares method.

Using 1 population approximation:
1 Dutch @ 8.029
2 German @ 8.765
3 Norwegian @ 9.606
4 Southwest_English @ 10.213
5 Orcadian @ 10.348
6 Swedish @ 10.539
7 Southeast_English @ 11.167
8 Danish @ 11.423
9 West_Scottish @ 12.616
10 French @ 12.622
165 iterations.



Using 2 populations approximation:
1 50% French +50% Norwegian @ 6.707
2 50% French +50% Swedish @ 6.740
3 50% French +50% North_Swedish @ 7.538
4 50% German +50% Norwegian @ 7.853
5 50% Dutch +50% German @ 7.937
6 50% Dutch +50% Dutch @ 8.029
7 50% French +50% Orcadian @ 8.077
8 50% Dutch +50% French @ 8.106
9 50% German +50% Orcadian @ 8.276
10 50% German +50% Swedish @ 8.328
13695 iterations.



Using 3 populations approximation:
1 50% Norwegian +25% Norwegian +25% Tuscan @ 5.762
2 50% Norwegian +25% North_Italian +25% Norwegian @ 5.904
3 50% Norwegian +25% Swedish +25% Tuscan @ 5.987
4 50% Norwegian +25% Orcadian +25% Tuscan @ 6.026
5 50% Norwegian +25% North_Italian +25% Swedish @ 6.045
6 50% Norwegian +25% North_Italian +25% Orcadian @ 6.231
7 50% Swedish +25% North_Italian +25% Norwegian @ 6.265
8 50% Swedish +25% Norwegian +25% Tuscan @ 6.287
9 50% Norwegian +25% Dutch +25% Tuscan @ 6.320
10 50% Orcadian +25% Norwegian +25% Romanian @ 6.326
511597 iterations.



Using 4 populations approximation:
1 Norwegian + Norwegian + Norwegian + Tuscan @ 5.762
2 North_Italian + Norwegian + Norwegian + Norwegian @ 5.904
3 Norwegian + Norwegian + Swedish + Tuscan @ 5.987
4 Norwegian + Norwegian + Orcadian + Tuscan @ 6.026
5 North_Italian + Norwegian + Norwegian + Swedish @ 6.045
6 Norwegian + Orcadian + Swedish + Tuscan @ 6.146
7 North_Italian + Norwegian + Norwegian + Orcadian @ 6.231
8 North_Italian + Norwegian + Swedish + Swedish @ 6.265
9 North_Italian + Norwegian + Orcadian + Swedish @ 6.270
10 Norwegian + Swedish + Swedish + Tuscan @ 6.287
11 Dutch + Norwegian + Norwegian + Tuscan @ 6.320
12 Norwegian + Orcadian + Orcadian + Romanian @ 6.326
13 Orcadian + Swedish + Swedish + Tuscan @ 6.344
14 Dutch + North_Italian + Norwegian + Norwegian @ 6.373
15 North_Italian + Orcadian + Swedish + Swedish @ 6.389
16 Orcadian + Orcadian + Orcadian + Romanian @ 6.451
17 Dutch + North_Italian + Norwegian + Swedish @ 6.462
18 Norwegian + Norwegian + Orcadian + Romanian @ 6.465
19 Dutch + Norwegian + Swedish + Tuscan @ 6.484
20 North_Swedish + Norwegian + Orcadian + Tuscan @ 6.509

1839269 iterations.

Done.

Elapsed time 1.7598 seconds.

Gui S said...

Hey David! Great Job!
Although the Oracle here is a bit less accurate for me than the one for JTEST was. Any chances I can get my hands on the population averages. I could make a few maps as well.

Gui S said...

Also, as mentioned previously. FST distances wouldn't go astray.

About Time said...

Population
North_Sea 34.36%
Atlantic 22.99%
Baltic 17.08%
Eastern_Euro 15.36%
West_Med 7.18%
West_Asian 2.11%
East_Med -
Red_Sea -
South_Asian -
Southeast_Asian -
Siberian -
Amerindian 0.54%
Oceanian 0.22%
Northeast_African -
Sub-Saharan 0.13%


Single Population Sharing:
# Population (source) Distance
1 North_Swedish 4.86
2 Swedish 6.19
3 Norwegian 6.71
4 Dutch 7.2
5 Southwest_Finnish 7.85
6 German 8.04
7 Danish 9.53
8 Orcadian 10.08
9 Irish 10.65
10 West_Scottish 10.7
11 Southeast_English 10.88
12 Finnish 10.96
13 Southwest_English 11.17
14 Hungarian 12.79
15 Austrian 13.96
16 Polish 15.34
17 Estonian 15.75
18 East_Finnish 15.79
19 French 15.94
20 Ukrainian 16.07

Using 2 populations approximation:
1 50% Dutch +50% Southwest_Finnish @ 3.572
2 50% Norwegian +50% Southwest_Finnish @ 3.582
3 50% Southwest_Finnish +50% Swedish @ 4.150
4 50% Orcadian +50% Southwest_Finnish @ 4.301
5 50% Dutch +50% Finnish @ 4.371
6 50% Finnish +50% Orcadian @ 4.651
7 50% Finnish +50% Southwest_English @ 4.659
8 50% Finnish +50% West_Scottish @ 4.756
9 50% Danish +50% Finnish @ 4.815
10 50% Estonian +50% Southwest_English @ 4.853
13695 iterations.

Using 3 populations approximation:
1 50% Norwegian +25% Belorussian +25% Dutch @ 2.957
2 50% Norwegian +25% Belorussian +25% Orcadian @ 3.056
3 50% Norwegian +25% Belorussian +25% Norwegian @ 3.071
4 50% Dutch +25% Estonian +25% North_Swedish @ 3.115
5 50% Norwegian +25% Orcadian +25% Russian @ 3.119
6 50% Norwegian +25% Russian +25% West_Scottish @ 3.132
7 50% Norwegian +25% Danish +25% Russian @ 3.165
8 50% Norwegian +25% Dutch +25% Russian @ 3.169
9 50% Norwegian +25% Belorussian +25% Danish @ 3.173
10 50% Norwegian +25% Norwegian +25% Russian @ 3.177
245556 iterations.

Using 4 populations approximation:
1 Belorussian + Dutch + Norwegian + Norwegian @ 2.957
2 Dutch + Estonian + North_Swedish + Southwest_English @ 2.965
3 Belorussian + Norwegian + Norwegian + Orcadian @ 3.056
4 Estonian + North_Swedish + Norwegian + Southwest_English @ 3.065
5 Belorussian + Norwegian + Norwegian + Norwegian @ 3.071
6 Dutch + Dutch + Estonian + North_Swedish @ 3.115
7 Norwegian + Norwegian + Orcadian + Russian @ 3.119
8 Norwegian + Norwegian + Russian + West_Scottish @ 3.132
9 Dutch + Estonian + North_Swedish + Southeast_English @ 3.153
10 Danish + Norwegian + Norwegian + Russian @ 3.165
11 Dutch + Norwegian + Norwegian + Russian @ 3.169
12 Belorussian + Danish + Norwegian + Norwegian @ 3.173
13 Danish + Dutch + Estonian + North_Swedish @ 3.173
14 Norwegian + Norwegian + Norwegian + Russian @ 3.177
15 Belorussian + North_Swedish + Orcadian + Orcadian @ 3.184
16 Belorussian + Dutch + North_Swedish + Orcadian @ 3.188
17 Dutch + Lithuanian + Norwegian + Orcadian @ 3.189
18 Dutch + Estonian + North_Swedish + West_Scottish @ 3.209
19 North_Swedish + Norwegian + Ukrainian + West_Scottish @ 3.210
20 Belorussian + North_Swedish + Norwegian + Orcadian @ 3.213

Pct. Calc. Option 1
1 North_Swedish 80.74%
2 Polish 11.26%
3 French_Basque 7.92%
4 Russian 0.06%
5 Ukrainian 0.02%
6 Austrian 0.00%
7 Sardinian 0.00%
8 Ukrainian_West 0.00%
9 Hungarian 0.00%
10 Ukrainian_Northeast 0.00%


Pct. Calc. Option 2
0 Unable to determine 0.01%
1 North_Swedish 74.58%
2 French_Basque 4.60%
3 Sardinian 4.36%
4 Ukrainian_Northeast 3.77%
5 Belorussian 3.55%
6 Polish 2.62%
7 Estonian 2.31%
8 Southwest_Finnish 2.13%
9 German 2.06%
10 Austrian 0.00%


I'm actually about 5/8 Irish, 1/4 Pomeranian (German speaking but R1a L365+), with 1/8 miscellaneous New England Yankee.

The interesting part is the Prussian/Pomeranian. It seems like it must be somehow Belarussian/Russian like, contributing to a total effect that is overall North Swedish like or Finnish like even though I'm 3/4 British Isles descended.

Baltic 17.08%
Eastern_Euro 15.36%.

23andme gives me large segment matches only in Ireland and Poland. I wish there were better samples from different parts of former Prussia, since it was not all that homogeneous apparently.

Glenn Nosworthy said...

Thanks for making this available, David ... interesting stuff. But it's opened up a mystery for me: why I have a South Asian component. I've long suspected that my father had some Sub-Saharan heritage, though his father had an Anglo name and his mother a German name (yes, I got the 'Cherokee story' as a child to explain his somewhat dark complexion). My mother was born in what is now Hungary, and I both her parents identified as ethnic Hungarian. Is it possible that the South Asian component is due to Romany ancestry? What do you see in these numbers?
Admix Results (sorted):

# Population Percent
1 North_Sea 25.27
2 Atlantic 21.00
3 Baltic 14.34
4 Eastern_Euro 13.52
5 West_Med 8.92
6 West_Asian 5.88
7 Sub-Saharan 5.11
8 South_Asian 2.26
9 Northeast_African 1.89
10 East_Med 1.81


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

Least-squares method.

Using 1 population approximation:
1 Austrian @ 10.220
2 Hungarian @ 10.435
3 German @ 10.983
4 Southwest_Finnish @ 13.259
5 Dutch @ 14.382
6 Serbian @ 14.747
7 North_Swedish @ 14.786
8 French @ 15.235
9 Finnish @ 15.580
10 Polish @ 15.721
165 iterations.



Using 2 populations approximation:
1 50% French +50% Polish @ 7.845
2 50% German +50% Hungarian @ 7.887
3 50% Austrian +50% German @ 7.963
4 50% East_Finnish +50% French @ 7.995
5 50% Polish +50% Southwest_English @ 8.071
6 50% French +50% Ukrainian @ 8.137
7 50% Russian +50% Southwest_English @ 8.168
8 50% Southwest_English +50% Ukrainian_West @ 8.169
9 50% Southwest_English +50% Ukrainian @ 8.195
10 50% Austrian +50% Dutch @ 8.204
13695 iterations.



Using 3 populations approximation:
1 50% German +25% Erzya +25% Spanish_Galicia @ 6.679
2 50% Southwest_English +25% Kargopol_Russian +25% Romanian @ 6.684
3 50% German +25% Erzya +25% French @ 6.687
4 50% Southwest_English +25% Erzya +25% Romanian @ 6.735
5 50% Southwest_English +25% Erzya +25% Serbian @ 6.735
6 50% German +25% Erzya +25% Portuguese @ 6.752
7 50% Southwest_English +25% Kargopol_Russian +25% Serbian @ 6.777
8 50% German +25% Erzya +25% Spanish_Cataluna @ 6.884
9 50% Southwest_English +25% Bulgarian +25% Kargopol_Russian @ 6.885
10 50% German +25% Erzya +25% Spanish_Castilla_Y_Leon @ 6.886
434862 iterations.



Using 4 populations approximation:
1 Erzya + German + German + Spanish_Galicia @ 6.679
2 Kargopol_Russian + Romanian + Southwest_English + Southwest_English @ 6.684
3 Erzya + French + German + German @ 6.687
4 Erzya + Romanian + Southwest_English + Southwest_English @ 6.735
5 Erzya + Serbian + Southwest_English + Southwest_English @ 6.735
6 German + Kargopol_Russian + Serbian + Southwest_English @ 6.736
7 Erzya + German + German + Portuguese @ 6.752
8 Dutch + Kargopol_Russian + Romanian + Southwest_English @ 6.769
9 Danish + Kargopol_Russian + Romanian + Southwest_English @ 6.771
10 Kargopol_Russian + Serbian + Southwest_English + Southwest_English @ 6.777
11 Kargopol_Russian + Romanian + Southeast_English + Southwest_English @ 6.794
12 German + Kargopol_Russian + Romanian + Southwest_English @ 6.819
13 Erzya + Romanian + Southeast_English + Southwest_English @ 6.822
14 Erzya + German + Spanish_Extremadura + Swedish @ 6.825
15 Irish + Kargopol_Russian + Romanian + Southwest_English @ 6.826
16 Erzya + Romanian + Southwest_English + West_Scottish @ 6.826
17 Kargopol_Russian + Romanian + Southwest_English + West_Scottish @ 6.830
18 Austrian + Erzya + French + Southwest_English @ 6.831
19 Erzya + Irish + Romanian + Southwest_English @ 6.832
20 Erzya + German + Spanish_Andalucia + Swedish @ 6.836

1297540 iterations.

Jared Knows said...

Hello, Could you help me pinpoint the source of some of my ancestry, including European ancestry? To begin, I know nothing about my maternal ancestry. On most tests on gedmatch, I get consistent percentages for South Asian/Indian. I first believed it to be noise, but now I consider it as possibly recent.
Here are some of my results for this test:
Pct. Calc. Option 1

1 Yoruban 81.11%
2 Orcadian 8.93%
3 Chuvash 3.37%
4 Danish 3.37%
5 Austroasiatic_Ho 1.70%
6 Somali 1.48%
7 West_Scottish 0.01%
8 North_Swedish 0.01%
9 Norwegian 0.01%
10 Irish 0.01%

Pct. Calc. Option 2

0 Unable to determine 0.79%
1 Yoruban 27.77%
2 Yoruban 24.60%
3 Mandenka 24.21%
4 Biaka_Pygmy 7.22%
5 North_Swedish 6.60%
6 Danish 5.96%
7 Austroasiatic_Ho 2.08%
8 Mbuti_Pygmy 0.14%
9 San 0.00%
10 Maasai 0.00%

I also lack information about my paternal side. On some calculators my father is consistently matched with Ashkenazim (including 23andme), on others not so much. I believe the calculators that do say that are a fluke, but the coincidences are strange. This side of the family also has an oral story of NA admixture. Does this look to be true?
Here are his results:
Admix Results:

# Population Percent
1 North_Sea 6.27
2 Atlantic 6.13
3 Baltic 2.72
4 Eastern_Euro 1.82
5 West_Med 1.01
6 West_Asian 0.46
7 East_Med 0.31
8 Red_Sea 0.00
9 South_Asian 0.28
10 Southeast_Asian 0.37
11 Siberian 0.10
12 Amerindian 0.40
13 Oceanian 1.15
14 Northeast_African 4.67
15 Sub-Saharan 74.32


Pct. Calc. Option 2

1 Yoruban 43.08%
2 Yoruban 26.84%
3 Austrian 13.57%
4 Luhya 6.60%
5 Irish 5.55%
6 Biaka_Pygmy 1.10%
7 NAN_Melanesian 1.09%
8 Ethiopian_Ari_cultivator 1.09%
9 West_Scottish 1.08%
10 Ethiopian_Anuak 0.00%

Pct. Calc. Option 1

1 Yoruban 77.12%
2 Irish 15.27%
3 Ethiopian_Ari_cultivator 2.76%
4 Lithuanian 1.69%
5 NAN_Melanesian 1.32%
6 French_Basque 1.02%
7 Southwest_Finnish 0.70%
8 North_Amerindian 0.12%
9 Austrian 0.00%
10 Orcadian 0.00%

Using 3 populations approximation:
1 50% Yoruban +25% German +25% Yoruban @ 5.494
2 50% Yoruban +25% German +25% Yoruban @ 5.494
3 50% Yoruban +25% German +25% Yoruban @ 5.494
4 50% Yoruban +25% German +25% Yoruban @ 5.494
5 50% Yoruban +25% Danish +25% Yoruban @ 5.753
6 50% Yoruban +25% Danish +25% Yoruban @ 5.753
7 50% Yoruban +25% Danish +25% Yoruban @ 5.753
8 50% Yoruban +25% Danish +25% Yoruban @ 5.753
9 50% Yoruban +25% Southeast_English +25% Yoruban @ 5.767
10 50% Yoruban +25% Southeast_English +25% Yoruban @ 5.767
466231 iterations.

Thanks

Davidski said...

I'd say the South Asian is over the noise threshold. The Sub-Saharan is definitely over the noise threshold.

So yes, African-American and Hungarian Roma are both possible.

Davidski said...

I still need to add a few more populations, which will probably change results for many people. Once they're added I'll post the averages sheet and Fst table...and yeah, you can make some maps of the major components.

Davidski said...

The results seem to indicate 75% West African and 25% White American (mostly of Northwest European descent). That's not to say there aren't any minor admixtures, but they're definitely minor.

Dominique Maldonado said...

Admix Results (sorted):

# Population Percent
1 Sub-Saharan 44.61
2 Atlantic 12.35
3 North_Sea 11.03
4 West_Med 9.91
5 Amerindian 7.22
6 Baltic 3.75
7 Northeast_African 3.49
8 Red_Sea 2.53
9 Oceanian 2.01
10 Eastern_Euro 1.18
11 West_Asian 1.08
12 East_Med 0.86


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

Least-squares method.

Using 1 population approximation:
1 Bantu_N.E. @ 41.787
2 Mbuti_Pygmy @ 42.379
3 Luhya @ 42.611
4 San @ 44.521
5 Biaka_Pygmy @ 44.985
6 Mozabite_Berber @ 46.503
7 Bantu_S.E. @ 47.532
8 Algerian @ 47.620
9 Bantu_S.W. @ 48.563
10 Moroccan @ 49.572
165 iterations.



Using 2 populations approximation:
1 50% Mandenka +50% Spanish_Galicia @ 8.526
2 50% Mandenka +50% Portuguese @ 8.790
3 50% Mandenka +50% Spanish_Castilla_Y_Leon @ 8.915
4 50% Bantu_S.W. +50% Spanish_Galicia @ 8.976
5 50% Mandenka +50% Spanish_Cataluna @ 9.055
6 50% French +50% Mandenka @ 9.075
7 50% Mandenka +50% Spanish_Cantabria @ 9.085
8 50% Mandenka +50% Spanish_Extremadura @ 9.176
9 50% Spanish_Galicia +50% Yoruban @ 9.308
10 50% Spanish_Galicia +50% Yoruban @ 9.308
13695 iterations.



Using 3 populations approximation:
1 50% Mandenka +25% French +25% Spanish_Cantabria @ 8.391
2 50% Mandenka +25% French +25% Spanish_Galicia @ 8.480
3 50% Mandenka +25% French +25% Southwest_French @ 8.494
4 50% Mandenka +25% French +25% Spanish_Castilla_Y_Leon @ 8.517
5 50% Mandenka +25% French +25% Portuguese @ 8.518
6 50% Mandenka +25% Spanish_Galicia +25% Spanish_Galicia @ 8.526
7 50% Spanish_Galicia +25% Mandenka +25% Mandenka @ 8.526
8 50% Mandenka +25% Spanish_Cantabria +25% Spanish_Galicia @ 8.534
9 50% Mandenka +25% French +25% Spanish_Extremadura @ 8.572
10 50% Mandenka +25% Spanish_Castilla_Y_Leon +25% Spanish_Galicia @ 8.588
472334 iterations.



Using 4 populations approximation:
1 French + Mandenka + Mandenka + Spanish_Cantabria @ 8.391
2 Bantu_S.E. + French + Spanish_Cantabria + Yoruban @ 8.451
3 Bantu_S.E. + French + Spanish_Cantabria + Yoruban @ 8.451
4 Bantu_S.W. + French + Mandenka + Spanish_Cantabria @ 8.465
5 Bantu_S.W. + French + Spanish_Cantabria + Yoruban @ 8.469
6 Bantu_S.W. + French + Spanish_Cantabria + Yoruban @ 8.469
7 French + Mandenka + Mandenka + Spanish_Galicia @ 8.480
8 French + Mandenka + Mandenka + Southwest_French @ 8.494
9 French + Mandenka + Mandenka + Spanish_Castilla_Y_Leon @ 8.517
10 French + Mandenka + Mandenka + Portuguese @ 8.518
11 Mandenka + Mandenka + Spanish_Galicia + Spanish_Galicia @ 8.526
12 Bantu_S.E. + French + Southwest_French + Yoruban @ 8.530
13 Bantu_S.E. + French + Southwest_French + Yoruban @ 8.530
14 Mandenka + Mandenka + Spanish_Cantabria + Spanish_Galicia @ 8.534
15 Bantu_S.W. + French + Mandenka + Southwest_French @ 8.549
16 Bantu_S.W. + French + Southwest_French + Yoruban @ 8.552
17 Bantu_S.W. + French + Southwest_French + Yoruban @ 8.552
18 Bantu_S.E. + French + Spanish_Galicia + Yoruban @ 8.552
19 Bantu_S.E. + French + Spanish_Galicia + Yoruban @ 8.552
20 Bantu_S.E. + French + Mandenka + Spanish_Cantabria @ 8.560

2093033 iterations.

Done.

Elapsed time 1.6345 seconds.

Would French make the most sense to account for Atlantic European markers? Also, a lot of family lore places ancestry in the Middle East/North Africa but I'm not seeing a lot of that here. Help!

Davidski said...

Are you of Caribbean origin? If so, there's definitely some French floating around there. But that might not be the only explanation for your result. Also, where would the Middle Eastern/North African fit in?

Ryan Dell'Erba said...

First to repost our recent discussions:

My initial post to you:

"Davidski,

I have a couple of questions for you that I would greatly appreciate answers to when you have a moment. First, here are my results from the K36 test in order from highest to lowest, excluding all populations I scored under 3.00% on.


Iberian: 16.81%
North Atlantic: 14.91%
Italian: 12.02%
North Sea: 10.79%
French: 7.68%
North Caucasian: 7.68%
Central European: 7.43%
Fennoscandian: 5.19%
Western Mediterranean: 3.75%
South Central Asian: 3.35%
East Central European: 3.30%


For your edification, my known recent ancestry, based on records and so on is 75% Irish/English/Scottish and 25% Southern Italian. And now my questions:

1.) Is the 7.68% French significant enough given my known ancestry that I should presume I have some relatively recent French ancestry?
2.) As far as the Fennoscandian, should I make much of that, or not, and it is also worth noting that on the K12b test, I got way higher on Finnish than I would’ve expected, almost 13% I believe.
3.) What about the North Caucasian and South Central Asian? I keep getting surprisingly high results on groups such as that, including on my chromosome paintings. Is that just the Southern Italian “talking”, or what?
4.) Is the fact that Iberian is my absolute highest percentage, and the fact that on chromosome paintings I have significantly-sized chunks that come up as Iberian any indication that I may have Spanish and/or Portuguese ancestry, or is that once again the Italian and/or general European stock “talking”?
5.) Also, I know that the part of Italy where my ancestors come from has a long history of contacts with Albanians and Greeks, and I was wondering could that be playing a role here (vis-à-vis the Caucasian/South Central Asian/Western Mediterranean results) if say there was some intermarriage with Albanians and/or Greeks over the generations?

Again, I have run a number of chromosome paintings, and the Caucasian and Iberian stuff, and to a lesser extent the Finnish, seems to look very significant. I really don’t know what to make of that or the fact that Oracle has come back with British Isles stuff, and Italian, but also many instances of French Basque, as well as Greek, Georgian, and Turkish. Again, don’t know what to make of that.

I would really appreciate any insights you may have here, and thanks for this fascinating information!


Best,

Ryan"

Then you said to let you know if I'm still confused after taking this test, and I am simultaneously more confused than ever and yet slightly less confused perhaps. lol Here are my results for this test:

North Sea: 30.73%
Atlantic: 22.75%
West Med: 13.85%
West Asian: 10.02%
Baltic: 6.81%
Eastern Euro: 6.18%
East Med: 5.25%
South Asian: 1.46%


Again in Oracle I'm seeing lots of Turkic (Kumyk seems to be the clear favorite now, along with Turkish), a ton of Spanish now (particularly Galician and Aragonese it seems, but I had five or so Spanish populations pop up in my Top 20 populations on a couple of the Oracles), also saw Ashkenazi a good number of times, which again raises my questions about possible Ashkenazi and/or Sephardic ancestry via Italy. And again significant stuff having to do with Caucuses/Persia/Turkic peoples.

Help? haha

Ryan Dell'Erba said...

Also, forgot to mention, basically all my questions are the same still, and I am still seeing French popping up everywhere which I do not yet have any concrete evidence of in my paper trail, but there were family rumors of some French ancestry.

crowens3 said...

Correction: "I'm about 50% German" should be changed to "about 40% German".

Ryan Dell'Erba said...

Also, got 46.1% for West Asian on chromosome 13 when I analyzed by percentages by chromosome for this one, which really stands out to me because that's where some of the most significant chunks of Ashkenazi were when I rand JTest chromosome paintings.

Davidski said...

Right, well, I think the French is easily explained by the fact that you're mostly British but with some Italian. This mix basically creates the illusion of significant French ancestry. That's because most French are essentially like the Brits, but with more southern influences.

The South Central Asian results can also probably be explained by your British ancestry. I have no idea why, but the British often show higher South Central Asian admixture than other Europeans. This happens in many supervised and unsupervised ADMIXTURE tests.

Now, if you're seeing Ashkenazi in the oracles regularly, especially in the Jtest oracles, then you probably have some Ashkenazi ancestry. But the Turkic stuff can be ignored, because it seems to show up for many people in the standard oracle. So maybe try the 4-Ancestors oracle and see what happens.

By the way, I'm about to send off new K15 reference populations to GEDmatch, including South Italians, so it's likely your results will shift significantly once they're up.

idurar said...

Berber here:

0% West Asian
0% Eastern European
0% South Asian

As usual, pretty neat. It shows well how western (and southern) our population is, in line with West Eurasian PCA plots.

Dominique Maldonado said...

My father is Puerto Rican and the family lore places his paternal grandfather in the Canaries. Also, I know the link to Spain is within the last 200 years

Dominique Maldonado said...

Should I upload additional oracle results?

Waviking26 said...

Hi David,

Do you think that the 2.99% South Asian I get is anything meaningful for someone of mainly British and German descent? Any idea what it might signify?

Thanks

M Conteren said...

I am German. Any comments on the following results? How to explain the Irish percentages?

# Population Percent
1 North_Sea 32.31
2 Atlantic 28.05
3 Baltic 14.03
4 Eastern_Euro 11.06
5 West_Med 8.55
6 West_Asian 5.77
7 Oceanian 0.22
8 Red_Sea 0.01


# Population (source) Distance
1 German 3.81
2 Dutch 5.42
3 Southeast_English 6.13
4 Danish 6.17
5 Irish 6.18
6 Southwest_English 6.32
7 West_Scottish 6.8
8 Norwegian 8.42
9 Orcadian 8.54
10 Swedish 8.81
11 North_Swedish 10.21
12 French 11.72
13 Southwest_Finnish 12.56
14 Austrian 13.17
15 Hungarian 14.21
16 Finnish 16.16
17 Serbian 18.55
18 Polish 18.57
19 Spanish_Cataluna 18.83
20 Spanish_Galicia 19.43


Least-squares method.

Using 1 population approximation:
1 German @ 4.510
2 Dutch @ 6.322
3 Southeast_English @ 7.112
4 Danish @ 7.112
5 Irish @ 7.130
6 Southwest_English @ 7.274
7 West_Scottish @ 7.852
8 Norwegian @ 9.800
9 Orcadian @ 9.911
10 Swedish @ 10.238


Using 2 populations approximation:
1 50% German +50% German @ 4.510
2 50% German +50% Irish @ 4.521
3 50% Danish +50% German @ 4.699
4 50% Dutch +50% German @ 4.744
5 50% German +50% West_Scottish @ 4.784
6 50% German +50% Southeast_English @ 4.915
7 50% German +50% Southwest_English @ 5.071
8 50% Southwest_English +50% Southwest_Finnish @ 5.668
9 50% Austrian +50% West_Scottish @ 5.871
10 50% German +50% Norwegian @ 5.941


Using 3 populations approximation:
1 50% Irish +25% Polish +25% Southwest_English @ 3.297
2 50% West_Scottish +25% Polish +25% Southwest_English @ 3.365
3 50% Southwest_English +25% Polish +25% West_Scottish @ 3.456
4 50% Southwest_English +25% Irish +25% Polish @ 3.460
5 50% Irish +25% Polish +25% Southeast_English @ 3.495
6 50% Southeast_English +25% Irish +25% Polish @ 3.547
7 50% Southeast_English +25% Polish +25% West_Scottish @ 3.573
8 50% Irish +25% Irish +25% Polish @ 3.584
9 50% West_Scottish +25% Polish +25% Southeast_English @ 3.588
10 50% Irish +25% Polish +25% West_Scottish @ 3.608


Using 4 populations approximation:
1 Irish + Irish + Polish + Southwest_English @ 3.297
2 Irish + Polish + Southwest_English + West_Scottish @ 3.308
3 Polish + Southwest_English + West_Scottish + West_Scottish @ 3.365
4 Irish + Polish + Southeast_English + Southwest_English @ 3.436
5 Polish + Southeast_English + Southwest_English + West_Scottish @ 3.448
6 Polish + Southwest_English + Southwest_English + West_Scottish @ 3.456
7 Irish + Polish + Southwest_English + Southwest_English @ 3.460
8 Irish + Irish + Polish + Southeast_English @ 3.495
9 Irish + Polish + Southeast_English + West_Scottish @ 3.520
10 Irish + Polish + Southeast_English + Southeast_English @ 3.547
11 Polish + Southeast_English + Southeast_English + West_Scottish @ 3.573
12 Danish + Irish + Polish + Southwest_English @ 3.576
13 Irish + Irish + Irish + Polish @ 3.584
14 Polish + Southeast_English + West_Scottish + West_Scottish @ 3.588
15 Irish + Irish + Polish + West_Scottish @ 3.608
16 Danish + Polish + Southwest_English + West_Scottish @ 3.635
17 Irish + Polish + West_Scottish + West_Scottish @ 3.674
18 Polish + Southeast_English + Southeast_English + Southwest_English @ 3.709
19 Polish + Southeast_English + Southeast_English + Southeast_English @ 3.736
20 Irish + Irish + Southwest_English + Ukrainian @ 3.749


Pct. Calc. Option 1

1 Irish 65.97%
2 Russian 13.66%
3 German 9.55%
4 French_Basque 4.64%
5 Southwest_Finnish 3.31%
6 Chechen 2.74%
7 Polish 0.13%
8 Ukrainian_Northeast 0.00%
9 Kargopol_Russian 0.00%
10 Ukrainian 0.00%


Pct. Calc. Option 2

0 Unable to determine 0.02%
1 German 35.75%
2 Irish 26.45%
3 Southwest_English 8.10%
4 West_Scottish 7.33%
5 Kargopol_Russian 6.69%
6 Southwest_Finnish 5.69%
7 Ukrainian_Northeast 4.65%
8 French_Basque 3.36%
9 Southwest_French 1.96%
10 Russian 0.01%

Davidski said...

It's just another way to explain the variation within your genome. Germans get really diverse results with the oracles, and I think that's because they're in Central Europe. But you did get German and then Dutch as your main predictions, so obviously you're not too atypical.

Davidski said...

Right, I forgot about the Canaries. Maybe the Middle Eastern/North African ancestry is too distant to show up in the 2, 3, and 4 population options? Note that Maya, Pima or Karitiana don't show up either, even though you have clear Amerindian admix. You've got Algerian and Moroccan in the least squared, but that might be coincidental, due to your European/Sub-Saharan ancestry.

Davidski said...

It seems like an unusually high South Asian score. There might be something to it. Can you see large South Asian segments on the chromosome painting, and do these match shared segments with Indians or Roma?

MfA said...

Ah I see, I thought you are just gonna update the averages so i thought I could send you the averages.. Unfortunely, I don't have any raw data, so it is futile.. Thanks anyway, I really like this new run.. Though lack of the South Central Asian component elevate the South Asian results across the West Asians especially on Iranic speakers.. Eurogenes K12b was great on that department.. On Harappa and K12b I score ~2% SA but in this run it is above 8%.. Those should be West Asian alleles on South Asians since the neolithic but still may give false signs for non familiar eyes..
Cheers

Jared Knows said...

Thank you.

Also, what do you make of the South Asian? Is it most likely noise or also very minute admixture?
I meant to post this for my results:

Population
North_Sea 5.76%
Atlantic 4.02%
Baltic 0.82%
Eastern_Euro 3.45%
West_Med 0.06%
West_Asian 0.29%
East_Med -
Red_Sea 1.07%
South_Asian 1.60%
Southeast_Asian 0.70%
Siberian 0.08%
Amerindian -
Oceanian 0.47%
Northeast_African 3.60%
Sub-Saharan 78.07%

As obvious as it probably is, I am an AA. I wonder why so many African Americans show trace South Asian/Indian admixture. Could it be because the samples being used contain African admixture? Anyway, thanks again.

Davidski said...

If you're actually Dutch, then it seems you're a lot more Atlantic than the Dutch reference population. This suggests that there might be significant genetic substructures within Holland. But if you're American of mostly Dutch ancestry, then all bets are off.

Davidski said...

Geno 2.0 probably doesn't have enough markers to work properly with this test.

Davidski said...

That's probably noise. It's bound to happen because the test has to be fairly lightweight. Also, it depends what type of file you're using. 23andMe files should produce the most useful results, but nevertheless, some noise should still be expected.

Liz Davenport said...

This is a wonderful admix. tool -- thank you for your good work!

Here is part of my results:

Admix Results:
# Population Percent
1 North_Sea 28.79
2 Atlantic 29.73
3 Baltic 9.09
4 Eastern_Euro 8.82
5 West_Med 9.43
6 West_Asian 7.61
7 East_Med 2.53
8 Red_Sea 0.00
9 South_Asian 1.55
10 Southeast_Asian 0.25
11 Siberian 0.32
12 Amerindian 0.00
13 Oceanian 0.43
14 Northeast_African 0.00
15 Sub-Saharan 1.46


Pct. Calc. Option 1
1 Southeast_English 69.30%
2 French_Basque 15.17%
3 Chechen 8.98%
4 Kargopol_Russian 2.17%
5 Southwest_Finnish 1.72%
6 Burusho 1.45%
7 Yoruban 1.21%
8 Abhkasian 0.00%
9 Ukrainian_Northeast 0.00%
10 Chuvash 0.00%

Pct. Calc. Option 2
0 Unable to determine 1.43%
1 Southeast_English 44.77%
2 Irish 28.56%
3 French_Basque 8.43%
4 Abhkasian 7.32%
5 Southwest_French 2.56%
6 Belorussian 2.24%
7 Southwest_Finnish 1.65%
8 Yoruban 1.18%
9 Burusho 1.08%
10 Chuvash 0.78%

Liz Davenport said...

Here are more results:

Admix Results (sorted):

# Population Percent
1 Atlantic 29.73
2 North_Sea 28.79
3 West_Med 9.43
4 Baltic 9.09
5 Eastern_Euro 8.82
6 West_Asian 7.61
7 East_Med 2.53
8 South_Asian 1.55
9 Sub-Saharan 1.46
10 Oceanian 0.43
11 Siberian 0.32
12 Southeast_Asian 0.25

Single Population Sharing:

# Population (source) Distance
1 German 6.37
2 Southwest_English 7.09
3 Southeast_English 7.16
4 Irish 8.39
5 Danish 8.53
6 French 8.67
7 West_Scottish 9.02
8 Dutch 9.28
9 Orcadian 11.48
10 Norwegian 13
11 Austrian 13.49
12 Swedish 13.82
13 Spanish_Cataluna 14.75
14 North_Swedish 15.14
15 Hungarian 15.95
16 Spanish_Castilla_Y_Leon 16.01
17 Spanish_Galicia 16.03
18 Portuguese 16.46
19 Southwest_Finnish 17.04
20 Spanish_Murcia 17.16

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.9% Southeast_English + 11.1% Balkar @ 4.38
2 89.3% Southeast_English + 10.7% Adygei @ 4.48
3 89.6% Southeast_English + 10.4% North_Ossetian @ 4.5
4 89.3% Southwest_English + 10.7% Balkar @ 4.59
5 89.6% Southwest_English + 10.4% Adygei @ 4.6
6 88.9% Southeast_English + 11.1% Chechen @ 4.6
7 89.9% Southwest_English + 10.1% North_Ossetian @ 4.63
8 91.1% Southeast_English + 8.9% Abhkasian @ 4.65
9 88.6% Southeast_English + 11.4% Kumyk @ 4.66
10 84.2% German + 15.8% French_Basque @ 4.66
11 89.2% Southwest_English + 10.8% Chechen @ 4.68
12 90.6% Southeast_English + 9.4% Georgian @ 4.71
13 87.8% Southeast_English + 12.2% Nogay @ 4.73
14 88.9% Southwest_English + 11.1% Kumyk @ 4.75
15 88% Southeast_English + 12% Tadjik @ 4.78
16 88.2% Southwest_English + 11.8% Tadjik @ 4.79
17 89.2% Southwest_English + 10.8% Lezgin @ 4.82
18 89.1% Southeast_English + 10.9% Lezgin @ 4.83
19 91.5% Southwest_English + 8.5% Abhkasian @ 4.84
20 88.2% Southwest_English + 11.8% Nogay @ 4.87

Liz Davenport said...

And, the last of the results:

Admix Results (sorted):

# Population Percent
1 Atlantic 30.03
2 North_Sea 29.08
3 West_Med 9.52
4 Baltic 9.18
5 Eastern_Euro 8.91
6 West_Asian 7.69
7 East_Med 2.56
8 South_Asian 1.56
9 Sub-Saharan 1.47


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

Least-squares method.

Using 1 population approximation:
1 German @ 7.241
2 Southwest_English @ 7.987
3 Southeast_English @ 8.070
4 Irish @ 9.446
5 Danish @ 9.679
6 French @ 9.874
7 West_Scottish @ 10.222
8 Dutch @ 10.648
9 Orcadian @ 13.222
10 Norwegian @ 15.037
165 iterations.



Using 2 populations approximation:
1 50% French +50% Irish @ 6.414
2 50% Danish +50% French @ 6.598
3 50% French +50% West_Scottish @ 6.614
4 50% French +50% Southeast_English @ 6.696
5 50% German +50% Southwest_English @ 6.871
6 50% German +50% Southeast_English @ 6.890
7 50% French +50% German @ 6.916
8 50% German +50% German @ 7.241
9 50% French +50% Southwest_English @ 7.267
10 50% German +50% Irish @ 7.461
13695 iterations.



Using 3 populations approximation:
1 50% German +25% Spanish_Castilla_La_Mancha +25% West_Scottish @ 5.380
2 50% German +25% Irish +25% Spanish_Castilla_La_Mancha @ 5.424
3 50% German +25% Danish +25% Spanish_Castilla_La_Mancha @ 5.441
4 50% Danish +25% German +25% Spanish_Castilla_La_Mancha @ 5.450
5 50% West_Scottish +25% German +25% Spanish_Andalucia @ 5.472
6 50% Danish +25% German +25% Spanish_Andalucia @ 5.485
7 50% Irish +25% German +25% Spanish_Andalucia @ 5.497
8 50% Irish +25% German +25% Spanish_Castilla_La_Mancha @ 5.499
9 50% West_Scottish +25% German +25% Spanish_Castilla_La_Mancha @ 5.546
10 50% German +25% Spanish_Valencia +25% West_Scottish @ 5.554
386406 iterations.



Using 4 populations approximation:
1 German + German + Spanish_Castilla_La_Mancha + West_Scottish @ 5.380
2 German + German + Irish + Spanish_Castilla_La_Mancha @ 5.424
3 Danish + German + Irish + Spanish_Castilla_La_Mancha @ 5.431
4 Danish + German + German + Spanish_Castilla_La_Mancha @ 5.441
5 Danish + German + Irish + Spanish_Andalucia @ 5.447
6 Danish + Danish + German + Spanish_Castilla_La_Mancha @ 5.450
7 Danish + German + Spanish_Andalucia + West_Scottish @ 5.453
8 German + Irish + Spanish_Andalucia + West_Scottish @ 5.471
9 German + Spanish_Andalucia + West_Scottish + West_Scottish @ 5.472
10 Danish + German + Spanish_Castilla_La_Mancha + West_Scottish @ 5.473
11 Danish + Danish + German + Spanish_Andalucia @ 5.485
12 German + Irish + Irish + Spanish_Andalucia @ 5.497
13 German + Irish + Irish + Spanish_Castilla_La_Mancha @ 5.499
14 German + Irish + Spanish_Castilla_La_Mancha + West_Scottish @ 5.509
15 German + Spanish_Castilla_La_Mancha + West_Scottish + West_Scottish @ 5.546
16 German + German + Spanish_Valencia + West_Scottish @ 5.554
17 Danish + German + Irish + Spanish_Valencia @ 5.560
18 Danish + German + Southeast_English + Spanish_Castilla_La_Mancha @ 5.572
19 Austrian + Spanish_Castilla_La_Mancha + West_Scottish + West_Scottish @ 5.574
20 Danish + German + Spanish_Valencia + West_Scottish @ 5.590

Any observations appreciated!! :-)

Davidski said...

I’d say white American, probably mostly of British and German ancestry, with an African-American ancestor a couple of hundred years ago?

Ryan Dell'Erba said...

Also, here's the Oracle 4 results for me (using option 2 I believe)


Least-squares method.

Using 1 population approximation:
1 French @ 7.970
2 German @ 10.577
3 Southwest_English @ 11.214
4 Southeast_English @ 12.659
5 Dutch @ 13.127
6 Danish @ 14.542
7 Irish @ 14.807
8 Spanish_Galicia @ 15.218
9 West_Scottish @ 15.239
10 Orcadian @ 15.520
165 iterations.



Using 2 populations approximation:
1 50% North_Italian +50% Orcadian @ 7.659
2 50% French +50% German @ 7.782
3 50% French +50% French @ 7.970
4 50% North_Italian +50% Norwegian @ 8.083
5 50% French +50% Southwest_English @ 8.174
6 50% Dutch +50% French @ 8.469
7 50% Dutch +50% North_Italian @ 8.507
8 50% North_Italian +50% Swedish @ 8.641
9 50% French +50% Southeast_English @ 8.683
10 50% Orcadian +50% Tuscan @ 8.684
13695 iterations.



Using 3 populations approximation:
1 50% Orcadian +25% Kumyk +25% Spanish_Cantabria @ 6.826
2 50% Southwest_English +25% Southwest_English +25% Turkish @ 6.951
3 50% Southwest_English +25% Orcadian +25% Turkish @ 6.988
4 50% Orcadian +25% French +25% Tuscan @ 6.998
5 50% Southwest_English +25% Dutch +25% Tuscan @ 7.054
6 50% Southwest_English +25% Ashkenazi +25% Southwest_English @ 7.063
7 50% Southwest_English +25% Southwest_English +25% Tuscan @ 7.086
8 50% Southwest_English +25% German +25% Tuscan @ 7.101
9 50% Southwest_English +25% Orcadian +25% Tuscan @ 7.118
10 50% Southwest_English +25% Kumyk +25% Southwest_English @ 7.138
632560 iterations.



Using 4 populations approximation:
1 Kumyk + Orcadian + Orcadian + Spanish_Cantabria @ 6.826
2 Southwest_English + Southwest_English + Southwest_English + Turkish @ 6.951
3 Orcadian + Southwest_English + Southwest_English + Turkish @ 6.988
4 French + Orcadian + Southwest_English + Tuscan @ 6.993
5 French + Orcadian + Orcadian + Tuscan @ 6.998
6 Dutch + French + Orcadian + Tuscan @ 7.051
7 Dutch + Southwest_English + Southwest_English + Tuscan @ 7.054
8 Ashkenazi + Southwest_English + Southwest_English + Southwest_English @ 7.063
9 Southwest_English + Southwest_English + Southwest_English + Tuscan @ 7.086
10 French + Norwegian + Southwest_English + Tuscan @ 7.098
11 German + Southwest_English + Southwest_English + Tuscan @ 7.101
12 Orcadian + Southwest_English + Southwest_English + Tuscan @ 7.118
13 Kumyk + Southwest_English + Southwest_English + Southwest_English @ 7.138
14 German + Orcadian + Southwest_English + Tuscan @ 7.139
15 Kumyk + Orcadian + Southwest_English + Spanish_Cantabria @ 7.175
16 Kumyk + Orcadian + Orcadian + Spanish_Aragon @ 7.185
17 French + Norwegian + Orcadian + Tuscan @ 7.205
18 French + German + Orcadian + Tuscan @ 7.218
19 Norwegian + Southwest_English + Southwest_English + Tuscan @ 7.226
20 Dutch + French + Southwest_English + Tuscan @ 7.227

About Time said...

Hi David, any ideas on what makes the North Swedish different from just Swedish? Also, the Southwest Finnish versus Finnish?

Pamela Wolfe said...

Hi David, Back again, hoping you might be able to interpret something on Oracle X results. Below are mine and my mother's Pt. 2 calcs. I notice I get Sephardic Jewish at 6.34% and my mom gets Mozabite Berber at 4.34%. Basically she and I are pretty similar except Mom has more Red Sea than me. Are these populations 'real'?

Thank you, Pam

Kit Number: F12192

Admix Results:

# Population Percent
1 North_Sea 32.94
2 Atlantic 31.65
3 Baltic 9.13
4 Eastern_Euro 6.36
5 West_Med 10.83
6 West_Asian 3.53
7 East_Med 3.58
8 Red_Sea 0.83
9 South_Asian 0.00
10 Southeast_Asian 0.00
11 Siberian 0.00
12 Amerindian 0.00
13 Oceanian 0.99
14 Northeast_African 0.01
15 Sub-Saharan 0.15


Pct. Calc. Option 2

1 Southwest_English 45.18%
2 Danish 10.63%
3 Southeast_English 9.17%
4 French_Basque 7.26%
5 Irish 7.19%
6 West_Scottish 7.05%
7 Sephardic_Jewish 6.34%
8 Spanish_Valencia 5.11%
9 Orcadian 2.05%
10 German 0.02%

Kit Number: A658779

Admix Results:

# Population Percent
1 North_Sea 32.37
2 Atlantic 31.65
3 Baltic 10.83
4 Eastern_Euro 6.44
5 West_Med 9.43
6 West_Asian 4.34
7 East_Med 2.03
8 Red_Sea 2.57
9 South_Asian 0.00
10 Southeast_Asian 0.00
11 Siberian 0.00
12 Amerindian 0.00
13 Oceanian 0.27
14 Northeast_African 0.08
15 Sub-Saharan 0.00


Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Irish 50.36%
2 Southeast_English 25.31%
3 Spanish_Aragon 5.38%
4 French_Basque 4.38%
5 Mozabite_Berber 4.34%
6 West_Scottish 4.25%
7 North_Ossetian 2.96%
8 Lithuanian 1.52%
9 Spanish_Castilla_Y_Leon 1.50%
10 Southwest_French 0.00%

Davidski said...

Sephardic Jews and Mozabite Berbers are real populations, while the Red Sea component is derived from real populations. But most people get exotic populations when using these options. So such minor signals might mean something real, but then again perhaps not. The only way to confirm minor admixtures like this is to look at the chromosome paintings, and check whether they correlate with data from other tools. Also, if you get something really out of the ball park using the 4-Ancestors Oracle then that’s a good indication of unusual ancestry. And when I say out of the ball park, I don’t mean a Dutchman getting Irish or something like that.

Davidski said...

North Swedes show less Atlantic and more Eastern Euro than Swedes. On the other hand, Southwest Finns show more Atlantic and less Eastern Euro than Finns and Eastern Finns.

Pamela Wolfe said...

Thanks, David! I'm sorry if I didn't express myself well--I really mean real in the sense of 'not reading x for y' on my DNA (like the Oceanian question I had earlier) as opposed to imaginary peoples! I will follow your advice. Thank you so much!

Liz Davenport said...

Yes, I think that's right! :-) My family lines are early Southern colonial (on some branches, very early). I have been getting results as high as 3.17% from the projects' admix. tools for African/Sub-Saharan

jackson_montgomery_devoni said...

Davidski,

A user from some forums I frequent asked if relatives are skewing the results at all. Obviously you checked for relatives before you created this calculator correct?

Davidski said...

There aren't any relatives or even samples that share inflated IBD in the reference dataset.

R lewis said...

Admix Results:

# Population Percent
1 North_Sea 6.84
2 Atlantic 5.04
3 Baltic 0.45
4 Eastern_Euro 0.00
5 West_Med 3.79
6 West_Asian 2.47
7 East_Med 0.01
8 Red_Sea 1.31
9 South_Asian 0.00
10 Southeast_Asian 1.06
11 Siberian 0.00
12 Amerindian 1.97
13 Oceanian 0.98
14 Northeast_African 4.17
15 Sub-Saharan 71.91


Pct. Calc. Option 2

1 Yoruban 61.79%
2 French 12.25%
3 Yoruban 11.69%
4 Southwest_English 6.25%
5 NAN_Melanesian 2.23%
6 Ethiopian_Ari_cultivator 2.04%
7 Pima 1.25%
8 Spanish_Galicia 1.10%
9 Mayan 0.82%
10 Abhkasian 0.57%
what reference population was used foe NAN - melanesian

Davidski said...

More info here...

http://alfred.med.yale.edu/alfred/recordinfo.asp?condition=%28populations.pop_name=%27Melanesian,%20Nasioi%27%29

But I wouldn't worry about it. It's just the algorithm confused about something.

Volodymyr Lutsyk said...

West Ukrainian, Boyko ancestry.
# Population Percent
1 Atlantic 21.87
2 Baltic 21.67
3 Eastern_Euro 16.3
4 North_Sea 13.34
5 West_Med 9.6
6 East_Med 9.59
7 West_Asian 5.89
8 Red_Sea 0.77
9 Northeast_African 0.5
10 Southeast_Asian 0.35
11 Amerindian 0.12

Single Population Sharing:

# Population (source) Distance
1 Austrian 7.76
2 Serbian 9.77
3 Hungarian 10.78
4 Romanian 11.36
5 Polish 11.55
6 Bulgarian 12.52
7 Ukrainian_West 12.8
8 Ukrainian 13.05
9 Russian 13.58
10 Ukrainian_Northeast 13.66
11 Belorussian 14.93
12 Kargopol_Russian 17.07
13 Southwest_Finnish 17.68
14 Lithuanian 18.89
15 East_Finnish 18.89
16 Finnish 18.94
17 Erzya 19.47
18 German 19.61
19 Estonian 19.92
20 Greek 20.15

[spoiler] Using 2 populations approximation:
1 50% Belorussian +50% Bulgarian @ 7.000
2 50% Belorussian +50% Greek @ 7.329
3 50% Belorussian +50% Romanian @ 7.853
4 50% Belorussian +50% North_Italian @ 7.859
5 50% Bulgarian +50% Russian @ 7.908
6 50% Lithuanian +50% Tuscan @ 7.932
7 50% Lithuanian +50% North_Italian @ 7.972
8 50% Belorussian +50% Tuscan @ 8.014
9 50% North_Italian +50% Ukrainian_Northeast @ 8.020
10 50% Bulgarian +50% Polish @ 8.030
13695 iterations.



Using 3 populations approximation:
1 50% Belorussian +25% Greek +25% Spanish_Valencia @ 5.411
2 50% Belorussian +25% Greek +25% Southwest_French @ 5.447
3 50% Ukrainian_Northeast +25% Bulgarian +25% Spanish_Valencia @ 5.484
4 50% Belorussian +25% Bulgarian +25% Spanish_Andalucia @ 5.535
5 50% Ukrainian_Northeast +25% Greek +25% Southwest_French @ 5.551
6 50% Belorussian +25% Greek +25% Spanish_Andalucia @ 5.564
7 50% Belorussian +25% Bulgarian +25% Spanish_Valencia @ 5.611
8 50% Ukrainian_Northeast +25% Bulgarian +25% Spanish_Andalucia @ 5.681
9 50% Ukrainian_Northeast +25% Bulgarian +25% Southwest_French @ 5.716
10 50% Belorussian +25% Greek +25% Spanish_Castilla_La_Mancha @ 5.731
475521 iterations.



Using 4 populations approximation:
1 Erzya + French_Basque + Greek + Lithuanian @ 5.290
2 Belorussian + Greek + Southwest_French + Ukrainian_Northeast @ 5.318
3 Greek + Lithuanian + Spanish_Valencia + Ukrainian_Northeast @ 5.348
4 Greek + Lithuanian + Southwest_French + Ukrainian_Northeast @ 5.365
5 Belorussian + Bulgarian + Spanish_Valencia + Ukrainian_Northeast @ 5.368
6 Belorussian + Belorussian + Greek + Spanish_Valencia @ 5.411
7 Belorussian + Greek + Lithuanian + Spanish_Valencia @ 5.424
8 Belorussian + Bulgarian + Spanish_Andalucia + Ukrainian_Northeast @ 5.430
9 Belorussian + Belorussian + Greek + Southwest_French @ 5.447
10 Belorussian + Greek + Spanish_Valencia + Ukrainian_Northeast @ 5.460
11 Bulgarian + Spanish_Valencia + Ukrainian_Northeast + Ukrainian_Northeast @ 5.484
12 Erzya + Greek + Lithuanian + Spanish_Valencia @ 5.520
13 Belorussian + Greek + Lithuanian + Spanish_Andalucia @ 5.527
14 Belorussian + Belorussian + Bulgarian + Spanish_Andalucia @ 5.535
15 Belorussian + Erzya + Greek + Southwest_French @ 5.550
16 Greek + Southwest_French + Ukrainian_Northeast + Ukrainian_Northeast @ 5.551
17 Belorussian + Belorussian + Greek + Spanish_Andalucia @ 5.564
18 Greek + Lithuanian + Spanish_Aragon + Ukrainian_Northeast @ 5.572
19 Belorussian + Erzya + Greek + Spanish_Valencia @ 5.582
20 Greek + Lithuanian + Spanish_Andalucia + Ukrainian_Northeast @ 5.590

Pukuvera said...

Hello, Polako.

My mother's results (she is from Baltic countries):

1 Baltic 36.16
2 North_Sea 23.21
3 Eastern_Euro 22.51
4 Atlantic 11.4
5 West_Asian 2.78
6 West_Med 1.48
7 Northeast_African 1.27
8 Amerindian 1.1
9 Sub-Saharan 0.1


23andme does not find any African. Only 0.7% Jewish that Jtest increases to ~1.20%. In K15 East African is not very concentrated.

Is it a noise, something ancient (like amerindian) or an indication Southern European ancestry?

Davidski said...

Those proportions don't look very meaningful. It's something really old in both cases.

Helgenes50 said...

Admix Results (sorted):

# Population Percent
1 Atlantic 33.55
2 North_Sea 32.26
3 West_Med 12.80
4 Baltic 8.14
5 Eastern_Euro 7.74
6 East_Med 2.98
7 West_Asian 2.54


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

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 6.182
2 Southeast_English @ 6.743
3 Irish @ 8.554
4 West_Scottish @ 9.115
5 Danish @ 9.410
6 French @ 10.438
7 German @ 10.553
8 Dutch @ 11.324
9 Orcadian @ 12.413
10 Norwegian @ 15.668
165 iterations.



Using 2 populations approximation:
1 50% French_Basque +50% Norwegian @ 5.411
2 50% Orcadian +50% Southwest_French @ 5.439
3 50% French_Basque +50% Swedish @ 5.526
4 50% Spanish_Cantabria +50% West_Scottish @ 5.528
5 50% Spanish_Cataluna +50% West_Scottish @ 5.574
6 50% Southwest_French +50% West_Scottish @ 5.671
7 50% Orcadian +50% Spanish_Aragon @ 5.692
8 50% Orcadian +50% Spanish_Cantabria @ 5.805
9 50% Irish +50% Spanish_Cataluna @ 5.962
10 50% Irish +50% Spanish_Cantabria @ 5.992
13695 iterations.



Using 3 populations approximation:
1 50% Southeast_English +25% French_Basque +25% Orcadian @ 1.495
2 50% Southeast_English +25% Danish +25% French_Basque @ 1.777
3 50% Southeast_English +25% French_Basque +25% West_Scottish @ 1.792
4 50% Danish +25% French_Basque +25% Southwest_English @ 1.893
5 50% Southeast_English +25% French_Basque +25% Southeast_English @ 1.900
6 50% West_Scottish +25% French_Basque +25% Southwest_English @ 1.909
7 50% Danish +25% French_Basque +25% Southeast_English @ 1.993
8 50% West_Scottish +25% French_Basque +25% Southeast_English @ 2.028
9 50% Southeast_English +25% Dutch +25% French_Basque @ 2.033
10 50% Southwest_English +25% French_Basque +25% Orcadian @ 2.057
328271 iterations.



Using 4 populations approximation:
1 French_Basque + Orcadian + Southeast_English + Southeast_English @ 1.495
2 French_Basque + Orcadian + Southeast_English + Southwest_English @ 1.663
3 Danish + French_Basque + Southeast_English + Southeast_English @ 1.777
4 French_Basque + Southeast_English + Southeast_English + West_Scottish @ 1.792
5 Danish + French_Basque + Southwest_English + West_Scottish @ 1.825
6 French_Basque + Orcadian + Southwest_English + West_Scottish @ 1.829
7 Danish + French_Basque + Southeast_English + Southwest_English @ 1.844
8 Danish + French_Basque + Orcadian + Southwest_English @ 1.847
9 French_Basque + Southeast_English + Southwest_English + West_Scottish @ 1.848
10 French_Basque + Orcadian + Southeast_English + West_Scottish @ 1.867
11 Danish + French_Basque + Orcadian + Southeast_English @ 1.874
12 Danish + Danish + French_Basque + Southwest_English @ 1.893
13 French_Basque + Southeast_English + Southeast_English + Southeast_English @ 1.900
14 French_Basque + Southwest_English + West_Scottish + West_Scottish @ 1.909
15 French_Basque + Irish + Orcadian + Southwest_English @ 1.925
16 French_Basque + Irish + Orcadian + Southeast_English @ 1.934
17 Danish + French_Basque + Southeast_English + West_Scottish @ 1.939
18 Danish + Danish + French_Basque + Southeast_English @ 1.993
19 French_Basque + Southeast_English + West_Scottish + West_Scottish @ 2.028
20 Dutch + French_Basque + Southeast_English + Southeast_English @ 2.033

1536708 iterations.

Done.

Davidski said...

I'd say you're English, or perhaps continental Northwest European where Bell Beaker or Keltic influence was very strong.

treebark3 said...

I just feel totally confused. Can you please tell me what is the actual breakdown for myself and my parents. I feel like so many places are listed/listed differently between myself and my parents that I cannot tell what's what. Here are the kit numbers. My kit: M015550 My Mom: M435930 My Dad: M014315 Also, with regards to the small percentages listed for African and South Asian is there any way to tell how far back those might be from? For instance if the African is from American times or perhaps from a earlier Southern European ancestor. As for the South Asian I am totally perplexed by when that came into the tree. Are either results real or just noise? Thank you for your help. Sorry if this is too long. I didn't know what all you would need me to post.

Kit M015550

Admix Results (sorted):

# Population Percent
1 North_Sea 28.73
2 Atlantic 23.82
3 West_Med 14.13
4 Baltic 9.1
5 West_Asian 6.87
6 East_Med 5.65
7 Eastern_Euro 5.43
8 Red_Sea 3.72
9 Northeast_African 1.11
10 Siberian 0.59
11 Sub-Saharan 0.42
12 Oceanian 0.39
13 South_Asian 0.05

Single Population Sharing:

# Population (source) Distance
1 French 3.71
2 German 8.52
3 Southwest_English 9.55
4 Spanish_Galicia 10.08
5 Southeast_English 10.9
6 Spanish_Cataluna 11.24
7 Portuguese 11.35
8 Dutch 11.37
9 Spanish_Castilla_Y_Leon 12.03
10 Irish 12.67
11 Danish 12.7
12 Spanish_Extremadura 12.87
13 West_Scottish 13.27
14 Spanish_Murcia 13.41
15 Austrian 13.78
16 Orcadian 14.01
17 Hungarian 14.32
18 Serbian 14.44
19 Spanish_Cantabria 14.52
20 Norwegian 14.95

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.4% French + 4.6% North_Ossetian @ 2.93
2 95.1% French + 4.9% Chechen @ 2.95
3 95.3% French + 4.7% Balkar @ 3
4 95.5% French + 4.5% Adygei @ 3.02
5 95.3% French + 4.7% Lezgin @ 3.04
6 95.1% French + 4.9% Kumyk @ 3.05
7 96.3% French + 3.7% Abhkasian @ 3.08
8 96.1% French + 3.9% Georgian @ 3.09
9 94.8% French + 5.2% Nogay @ 3.1
10 97.8% French + 2.2% Somali @ 3.32
11 95.9% French + 4.1% Tadjik @ 3.32
12 98% French + 2% Maasai @ 3.34
13 97.9% French + 2.1% Ethiopian_Wolayta @ 3.35
14 97.8% French + 2.2% Ethiopian_Oromo @ 3.35
15 97.7% French + 2.3% Ethiopian_Amhara @ 3.36
16 98.3% French + 1.7% Ethiopian_Ari_cultivator @ 3.37
17 89.9% French + 10.1% Hungarian @ 3.37
18 98.1% French + 1.9% Sandawe @ 3.38
19 98.3% French + 1.7% Ethiopian_Gumuz @ 3.38
20 98.2% French + 1.8% Hadza @ 3.38

Helgenes50 said...

!I am Norman exactly, NW european
The results are very similar to those of English, you are right!
It's impressive!
Where I live we share the same cultures as in south england, like the bell beakers culture for example. But when I see the results, I didn't think to be so close
Thank you for your work

Davidski said...

Can you post the 4-Ancestor Oracle results?

Helgenes50 said...

From you can see in the DNA results, where do you see the origin of the Bell Beakers ? In Spain or in continental Europe ?

treebark3 said...

My Oracle 4 results:

Kit Number: M015550

Admix Results (sorted):

# Population Percent
1 North_Sea 29.15
2 Atlantic 24.17
3 West_Med 14.34
4 Baltic 9.23
5 West_Asian 6.97
6 East_Med 5.74
7 Eastern_Euro 5.50
8 Red_Sea 3.78
9 Northeast_African 1.13


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

Least-squares method.

Using 1 population approximation:
1 French @ 4.036
2 German @ 9.494
3 Southwest_English @ 10.712
4 Spanish_Galicia @ 11.585
5 Southeast_English @ 12.238
6 Dutch @ 12.872
7 Spanish_Cataluna @ 12.968
8 Portuguese @ 13.133
9 Spanish_Castilla_Y_Leon @ 13.957
10 Irish @ 14.280
165 iterations.



Using 2 populations approximation:
1 50% French +50% French @ 4.036
2 50% German +50% Spanish_Galicia @ 4.294
3 50% North_Italian +50% Orcadian @ 4.558
4 50% Dutch +50% Spanish_Galicia @ 4.917
5 50% North_Italian +50% Norwegian @ 4.970
6 50% German +50% Portuguese @ 4.971
7 50% Dutch +50% North_Italian @ 4.977
8 50% Dutch +50% Portuguese @ 5.063
9 50% French +50% German @ 5.106
10 50% Spanish_Extremadura +50% Swedish @ 5.184
13695 iterations.



Using 3 populations approximation:
1 50% French +25% French +25% German @ 3.794
2 50% French +25% North_Italian +25% Swedish @ 3.905
3 50% Southwest_English +25% French +25% Tuscan @ 3.961
4 50% Dutch +25% French +25% Tuscan @ 3.983
5 50% French +25% North_Italian +25% Norwegian @ 3.991
6 50% French +25% German +25% Spanish_Galicia @ 4.000
7 50% French +25% French +25% French @ 4.036
8 50% German +25% French +25% Spanish_Galicia @ 4.079
9 50% French +25% North_Italian +25% Orcadian @ 4.092
10 50% Orcadian +25% Spanish_Galicia +25% Tuscan @ 4.106
384142 iterations.



Using 4 populations approximation:
1 Dutch + French + Southwest_English + Tuscan @ 3.709
2 French + French + French + German @ 3.794
3 French + French + North_Italian + Swedish @ 3.905
4 French + Orcadian + Southwest_English + Tuscan @ 3.908
5 French + Norwegian + Southwest_English + Tuscan @ 3.921
6 Dutch + Orcadian + Spanish_Galicia + Tuscan @ 3.949
7 French + Southwest_English + Swedish + Tuscan @ 3.958
8 French + Southwest_English + Southwest_English + Tuscan @ 3.961
9 French + German + Orcadian + Tuscan @ 3.974
10 Dutch + Dutch + French + Tuscan @ 3.983
11 French + French + North_Italian + Norwegian @ 3.991
12 French + French + German + Spanish_Galicia @ 4.000
13 Southwest_English + Spanish_Galicia + Swedish + Tuscan @ 4.004
14 Irish + Norwegian + Spanish_Galicia + Tuscan @ 4.014
15 French + German + Southwest_English + Tuscan @ 4.015
16 French + French + French + French @ 4.036
17 Irish + Spanish_Galicia + Swedish + Tuscan @ 4.045
18 Dutch + French + German + North_Italian @ 4.048
19 Norwegian + Southwest_English + Spanish_Galicia + Tuscan @ 4.060
20 French + German + North_Italian + Southwest_English @ 4.061

1165250 iterations.

Done.

Elapsed time 1.0346 seconds.

treebark3 said...

My Oracle X results:

Kit Number: M015550

Admix Results:

# Population Percent
1 North_Sea 28.73
2 Atlantic 23.82
3 Baltic 9.10
4 Eastern_Euro 5.43
5 West_Med 14.13
6 West_Asian 6.87
7 East_Med 5.65
8 Red_Sea 3.72
9 South_Asian 0.05
10 Southeast_Asian 0.00
11 Siberian 0.59
12 Amerindian 0.00
13 Oceanian 0.39
14 Northeast_African 1.11
15 Sub-Saharan 0.42


Pct. Calc. Option 2

0 Unable to determine 0.01%
1 French 62.59%
2 Orcadian 7.43%
3 North_Ossetian 7.40%
4 Swedish 7.19%
5 Estonian 5.85%
6 Spanish_Galicia 4.86%
7 Moroccan 2.46%
8 Maasai 1.11%
9 Portuguese 1.08%
10 Somali 0.00%

Total RMSD: 0.907904


Elapsed time 0.9274 seconds.

Davidski said...

Probably Iberia.

treebark3 said...

My Mom's Oracle Results:
Kit M435930

Admix Results (sorted):

# Population Percent
1 North_Sea 22.88
2 Atlantic 19.06
3 West_Med 15.56
4 East_Med 13.37
5 Baltic 9.7
6 West_Asian 6.04
7 Eastern_Euro 5.45
8 Red_Sea 4.57
9 Sub-Saharan 1.8
10 Siberian 0.91
11 Northeast_African 0.38
12 Oceanian 0.28

Single Population Sharing:

# Population (source) Distance
1 North_Italian 9.41
2 Spanish_Galicia 9.66
3 French 9.99
4 Serbian 10.07
5 Portuguese 10.44
6 Romanian 11.3
7 Spanish_Extremadura 11.7
8 Spanish_Cataluna 11.71
9 Tuscan 11.72
10 Spanish_Castilla_Y_Leon 12.16
11 Spanish_Murcia 12.45
12 Bulgarian 12.99
13 Austrian 14
14 Hungarian 14.08
15 Spanish_Valencia 14.99
16 Spanish_Andalucia 15.11
17 German 15.57
18 Spanish_Castilla_La_Mancha 15.72
19 Spanish_Cantabria 15.75
20 Greek 16.53

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.8% Tuscan + 34.2% Swedish @ 3.34
2 66.4% Tuscan + 33.6% North_Swedish @ 3.51
3 66.6% French + 33.4% Ashkenazi @ 3.57
4 65.7% Tuscan + 34.3% Norwegian @ 3.58
5 62.6% Tuscan + 37.4% Dutch @ 4.06
6 51.4% Southwest_English + 48.6% Ashkenazi @ 4.2
7 81% French + 19% Samaritan @ 4.25
8 80.4% French + 19.6% Jordanian @ 4.29
9 79.6% French + 20.4% Syrian @ 4.39
10 78.7% French + 21.3% Cyprian @ 4.41
11 81.8% French + 18.2% Lebanese_Christian @ 4.42
12 81% French + 19% Palestinian @ 4.43
13 66.1% Tuscan + 33.9% Orcadian @ 4.44
14 57.9% Tuscan + 42.1% German @ 4.47
15 80.7% French + 19.3% Bedouin @ 4.49
16 64.1% French + 35.9% Greek @ 4.57
17 79.9% French + 20.1% Lebanese_Muslim @ 4.64
18 54.9% Spanish_Galicia + 45.1% Romanian @ 4.7
19 81.2% French + 18.8% Egyptian @ 4.7
20 82.1% French + 17.9% Lebanese_Druze @ 4.73

treebark3 said...

My Mom's Oracle 4 results:

Kit Number: M435930

Admix Results (sorted):

# Population Percent
1 North_Sea 23.03
2 Atlantic 19.19
3 West_Med 15.67
4 East_Med 13.46
5 Baltic 9.76
6 West_Asian 6.08
7 Eastern_Euro 5.48
8 Red_Sea 4.60
9 Sub-Saharan 1.81
10 Siberian 0.92


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

Least-squares method.

Using 1 population approximation:
1 North_Italian @ 10.598
2 Spanish_Galicia @ 11.002
3 French @ 11.498
4 Serbian @ 11.564
5 Portuguese @ 11.911
6 Romanian @ 13.034
7 Spanish_Cataluna @ 13.398
8 Spanish_Extremadura @ 13.419
9 Tuscan @ 13.599
10 Spanish_Castilla_Y_Leon @ 14.027
165 iterations.



Using 2 populations approximation:
1 50% Ashkenazi +50% Southwest_English @ 4.651
2 50% German +50% Tuscan @ 5.326
3 50% Romanian +50% Spanish_Galicia @ 5.435
4 50% Ashkenazi +50% Southeast_English @ 5.531
5 50% Serbian +50% Spanish_Galicia @ 5.606
6 50% Ashkenazi +50% Dutch @ 5.705
7 50% Greek +50% Southwest_English @ 5.921
8 50% French +50% Tuscan @ 5.932
9 50% Dutch +50% Tuscan @ 6.006
10 50% Portuguese +50% Serbian @ 6.014
13695 iterations.



Using 3 populations approximation:
1 50% Spanish_Galicia +25% Cyprian +25% Swedish @ 3.300
2 50% Spanish_Galicia +25% Cyprian +25% North_Swedish @ 3.411
3 50% Tuscan +25% North_Swedish +25% Spanish_Galicia @ 3.583
4 50% Swedish +25% Sardinian +25% Syrian @ 3.650
5 50% Spanish_Galicia +25% Cyprian +25% Norwegian @ 3.697
6 50% Spanish_Galicia +25% Ashkenazi +25% Swedish @ 3.723
7 50% Swedish +25% Lebanese_Muslim +25% Sardinian @ 3.774
8 50% Tuscan +25% Spanish_Galicia +25% Swedish @ 3.780
9 50% French +25% Hungarian +25% Sephardic_Jewish @ 3.790
10 50% Spanish_Galicia +25% North_Swedish +25% Sephardic_Jewish @ 3.798
439748 iterations.



Using 4 populations approximation:
1 Ashkenazi + North_Italian + Spanish_Galicia + Swedish @ 2.666
2 Ashkenazi + Spanish_Galicia + Swedish + Tuscan @ 2.905
3 Ashkenazi + North_Italian + Norwegian + Spanish_Galicia @ 3.068
4 Ashkenazi + North_Italian + North_Swedish + Spanish_Galicia @ 3.105
5 Ashkenazi + Norwegian + Spanish_Galicia + Tuscan @ 3.127
6 Ashkenazi + North_Italian + Portuguese + Swedish @ 3.134
7 Cyprian + French + Spanish_Galicia + Swedish @ 3.143
8 Cyprian + French + North_Swedish + Spanish_Galicia @ 3.293
9 Cyprian + Spanish_Galicia + Spanish_Galicia + Swedish @ 3.300
10 Ashkenazi + French + Swedish + Tuscan @ 3.371
11 Cyprian + North_Swedish + Spanish_Galicia + Spanish_Galicia @ 3.411
12 Ashkenazi + North_Swedish + Spanish_Galicia + Tuscan @ 3.426
13 Ashkenazi + French + Hungarian + Spanish_Galicia @ 3.430
14 Ashkenazi + Portuguese + Swedish + Tuscan @ 3.436
15 Cyprian + French + Norwegian + Spanish_Galicia @ 3.451
16 Ashkenazi + French + Norwegian + Tuscan @ 3.458
17 Ashkenazi + French + North_Italian + Swedish @ 3.489
18 Greek + Spanish_Galicia + Swedish + Tuscan @ 3.496
19 Hungarian + Sephardic_Jewish + Southwest_English + Spanish_Galicia @ 3.498
20 Dutch + Hungarian + Sephardic_Jewish + Spanish_Galicia @ 3.507

1228828 iterations.

Done.

Elapsed time 1.0924 seconds.

treebark3 said...

My Mom's Oracle X results:

Kit Number: M435930

Admix Results:

# Population Percent
1 North_Sea 22.88
2 Atlantic 19.06
3 Baltic 9.70
4 Eastern_Euro 5.45
5 West_Med 15.56
6 West_Asian 6.04
7 East_Med 13.37
8 Red_Sea 4.57
9 South_Asian 0.00
10 Southeast_Asian 0.00
11 Siberian 0.91
12 Amerindian 0.00
13 Oceanian 0.28
14 Northeast_African 0.38
15 Sub-Saharan 1.80


Pct. Calc. Option 2

0 Unable to determine 0.01%
1 French 47.62%
2 Bedouin 11.40%
3 Lebanese_Christian 8.02%
4 Lithuanian 7.45%
5 Sardinian 6.20%
6 Ukrainian_West 4.97%
7 Swedish 4.42%
8 Spanish_Galicia 4.16%
9 Norwegian 3.76%
10 Yoruban 2.00%

Total RMSD: 0.844563


Elapsed time 0.6503 seconds.

treebark3 said...

My Dad's Oracle Results:

Kit M014315

Admix Results (sorted):

# Population Percent
1 North_Sea 38.23
2 Atlantic 25.65
3 West_Med 11.32
4 Baltic 8.66
5 Eastern_Euro 8.3
6 West_Asian 4.48
7 South_Asian 2.09
8 Red_Sea 0.78
9 Siberian 0.44
10 Northeast_African 0.04

Single Population Sharing:

# Population (source) Distance
1 Southwest_English 4.54
2 Dutch 5.04
3 Orcadian 5.33
4 Southeast_English 5.72
5 Danish 6.25
6 West_Scottish 6.48
7 Irish 6.76
8 Norwegian 7.45
9 German 7.63
10 Swedish 9.28
11 French 11.29
12 North_Swedish 12.27
13 Southwest_Finnish 17.86
14 Spanish_Galicia 18.64
15 Hungarian 18.75
16 Austrian 19.11
17 Spanish_Cataluna 19.2
18 Portuguese 20.03
19 Spanish_Castilla_Y_Leon 20.51
20 Finnish 20.63

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.2% Orcadian + 7.8% Sardinian @ 3.54
2 82.9% Orcadian + 17.1% Spanish_Galicia @ 3.77
3 59.9% Southwest_English + 40.1% Orcadian @ 3.78
4 74.2% Orcadian + 25.8% French @ 3.84
5 72.7% Southwest_English + 27.3% Norwegian @ 3.86
6 85.3% Orcadian + 14.7% Spanish_Cantabria @ 3.89
7 84.7% Orcadian + 15.3% Portuguese @ 3.97
8 86.1% Orcadian + 13.9% Spanish_Extremadura @ 4.08
9 59.8% Southwest_English + 40.2% Dutch @ 4.08
10 84.6% Orcadian + 15.4% Spanish_Cataluna @ 4.1
11 81.3% Southwest_English + 18.7% Swedish @ 4.12
12 87.2% Orcadian + 12.8% Spanish_Castilla_La_Mancha @ 4.13
13 86.8% Orcadian + 13.2% Southwest_French @ 4.13
14 85.7% Orcadian + 14.3% Spanish_Castilla_Y_Leon @ 4.15
15 88.1% Orcadian + 11.9% Spanish_Andalucia @ 4.15
16 88.2% Orcadian + 11.8% North_Italian @ 4.2
17 87.9% Orcadian + 12.1% Spanish_Aragon @ 4.21
18 87% Orcadian + 13% Spanish_Murcia @ 4.26
19 87.9% Orcadian + 12.1% Spanish_Valencia @ 4.29
20 88.8% Southwest_English + 11.2% North_Swedish @ 4.3

treebark3 said...

My Dad's Oracle 4 results:


Kit Number: M014315

Admix Results (sorted):

# Population Percent
1 North_Sea 38.72
2 Atlantic 25.98
3 West_Med 11.47
4 Baltic 8.77
5 Eastern_Euro 8.41
6 West_Asian 4.54
7 South_Asian 2.12


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

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 5.416
2 Orcadian @ 5.922
3 Dutch @ 5.939
4 Southeast_English @ 6.651
5 Danish @ 7.172
6 West_Scottish @ 7.358
7 Irish @ 7.718
8 Norwegian @ 8.458
9 German @ 9.183
10 Swedish @ 10.569
165 iterations.



Using 2 populations approximation:
1 50% Orcadian +50% Southwest_English @ 4.396
2 50% Dutch +50% Southwest_English @ 4.923
3 50% Norwegian +50% Southwest_English @ 4.999
4 50% Southwest_English +50% Southwest_English @ 5.416
5 50% Dutch +50% Orcadian @ 5.441
6 50% Orcadian +50% Southeast_English @ 5.479
7 50% Dutch +50% Southeast_English @ 5.687
8 50% Danish +50% Southwest_English @ 5.784
9 50% Southwest_English +50% West_Scottish @ 5.880
10 50% Southeast_English +50% Southwest_English @ 5.909
13695 iterations.



Using 3 populations approximation:
1 50% Orcadian +25% Southwest_English +25% Southwest_English @ 4.396
2 50% Southwest_English +25% Orcadian +25% Orcadian @ 4.396
3 50% Southwest_English +25% Dutch +25% Orcadian @ 4.515
4 50% Southwest_English +25% Norwegian +25% Orcadian @ 4.524
5 50% Southwest_English +25% Norwegian +25% Southwest_English @ 4.561
6 50% Southwest_English +25% Orcadian +25% Southwest_English @ 4.594
7 50% Orcadian +25% French +25% Orcadian @ 4.674
8 50% Orcadian +25% Dutch +25% Southwest_English @ 4.738
9 50% Southwest_English +25% Dutch +25% Norwegian @ 4.811
10 50% Dutch +25% Orcadian +25% Southwest_English @ 4.868
352926 iterations.



Using 4 populations approximation:
1 Orcadian + Orcadian + Southwest_English + Southwest_English @ 4.396
2 Dutch + Orcadian + Southwest_English + Southwest_English @ 4.515
3 Norwegian + Orcadian + Southwest_English + Southwest_English @ 4.524
4 Norwegian + Southwest_English + Southwest_English + Southwest_English @ 4.561
5 Orcadian + Southwest_English + Southwest_English + Southwest_English @ 4.594
6 French + Orcadian + Orcadian + Orcadian @ 4.674
7 Dutch + Orcadian + Orcadian + Southwest_English @ 4.738
8 Dutch + Norwegian + Southwest_English + Southwest_English @ 4.811
9 Dutch + Dutch + Orcadian + Southwest_English @ 4.868
10 Orcadian + Orcadian + Orcadian + Southwest_English @ 4.896
11 French + Orcadian + Orcadian + Southwest_English @ 4.900
12 Southwest_English + Southwest_English + Southwest_English + Swedish @ 4.914
13 Orcadian + Orcadian + Southeast_English + Southwest_English @ 4.920
14 Dutch + Dutch + Southwest_English + Southwest_English @ 4.923
15 Norwegian + Southeast_English + Southwest_English + Southwest_English @ 4.932
16 Orcadian + Southwest_English + Southwest_English + Swedish @ 4.933
17 French + Norwegian + Orcadian + Orcadian @ 4.937
18 Dutch + French + Orcadian + Orcadian @ 4.956
19 Dutch + Orcadian + Southeast_English + Southwest_English @ 4.962
20 Orcadian + Southeast_English + Southwest_English + Southwest_English @ 4.971

1965238 iterations.

Done.

Elapsed time 1.4206 seconds.

treebark3 said...

My Dad's Oracle X results:

Kit Number: M014315

Admix Results:

# Population Percent
1 North_Sea 38.23
2 Atlantic 25.65
3 Baltic 8.66
4 Eastern_Euro 8.30
5 West_Med 11.32
6 West_Asian 4.48
7 East_Med 0.00
8 Red_Sea 0.78
9 South_Asian 2.09
10 Southeast_Asian 0.00
11 Siberian 0.44
12 Amerindian 0.00
13 Oceanian 0.00
14 Northeast_African 0.04
15 Sub-Saharan 0.00


Pct. Calc. Option 2

1 Orcadian 48.11%
2 Southwest_English 24.89%
3 Norwegian 8.65%
4 Punjabi_Jat 5.40%
5 Spanish_Galicia 4.15%
6 Dutch 4.14%
7 French 2.57%
8 Sardinian 2.07%
9 Portuguese 0.01%
10 Burusho 0.00%

Total RMSD: 1.201616


Elapsed time 0.6233 seconds.

Davidski said...

So your dad's mostly British, while your mum is part Jewish, right? I've seen minor African admix in Jews, so that's likely to be real.

treebark3 said...

Yep, pretty much. See that is what I have been trying to figure out with the small African amount. I'm not sure if it comes from a Jewish ancestor from way back when or an American one. Also, can you explain to me about the Southern European/Middle Eastern and African areas? Are any of those true and if so which ones? I really have no idea how these admixture tests work.

Davidski said...

If you had African-American ancestry, you'd be seeing Sub-Saharan in your results, because African-Americans get their African ancestry from West Africa. But Jews more often show North, East or Northeast African admixture than Sub-Saharan or West African admixture.

The Southern European results reflect different ancient Mediterranean ancestry carried by your parents and you; western Med carried by your mostly British father, and eastern Med/Middle Eastern carried by your partly Jewish mother. That's because the British are part West Mediterranean, while Jews come from the eastern Mediterranean.

treebark3 said...

On most of the admixture tests I show up as having both North and Sub-Saharan African, that is why I ask. What about the small South Asian segment my dad shows? Where/when do you think that might have come from? Thank you for trying to help me better understand all of this. And thank you so much for all of your hard work making these programs. It is truly appreciated.

Davidski said...

I can only comment about the results here, and what I'm seeing is above noise Northeast African admix. But this might be interpreted as Sub-Saharan in other tests.

Since your dad appears mostly British then the South Asian admix doesn't seem too out of place, because a lot of Brits get that. However, I don't know the explanation for it yet. Maybe it's something prehistoric?

Justin DeWind said...

It certainly makes a degree of sense. I know I have Irish/English heritage. But, there are plenty of unknowns on my maternal side outside.

This is somewhat anecdotal. But our family tends to either look North European or South Europe/Near East/Mediterranean or somewhere in between.

The 4 population Oracle is certainly interesting.

Admix Results (sorted):

# Population Percent
1 Atlantic 31.23
2 North_Sea 25.67
3 Baltic 12.34
4 West_Med 10.96
5 Eastern_Euro 7.64
6 East_Med 6.18
7 West_Asian 5.98


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

Least-squares method.

Using 1 population approximation:
1 French @ 9.152
2 German @ 9.418
3 Southwest_English @ 11.372
4 Southeast_English @ 11.467
5 Irish @ 12.850
6 Austrian @ 12.857
7 Danish @ 13.440
8 Spanish_Cataluna @ 13.451
9 West_Scottish @ 13.958
10 Dutch @ 14.039
165 iterations.



Using 2 populations approximation:
1 50% German +50% Spanish_Valencia @ 6.341
2 50% German +50% Spanish_Cataluna @ 6.388
3 50% Irish +50% Spanish_Valencia @ 6.458
4 50% Spanish_Valencia +50% Swedish @ 6.535
5 50% Danish +50% Spanish_Valencia @ 6.551
6 50% German +50% Southwest_French @ 6.597
7 50% Spanish_Valencia +50% West_Scottish @ 6.692
8 50% Irish +50% Spanish_Cataluna @ 6.697
9 50% German +50% Spanish_Castilla_Y_Leon @ 6.729
10 50% Spanish_Andalucia +50% Swedish @ 6.792
13695 iterations.



Using 3 populations approximation:
1 50% Irish +25% Bulgarian +25% French_Basque @ 3.348
2 50% Irish +25% French_Basque +25% Romanian @ 3.469
3 50% West_Scottish +25% Bulgarian +25% French_Basque @ 3.510
4 50% Danish +25% Bulgarian +25% French_Basque @ 3.660
5 50% West_Scottish +25% French_Basque +25% Romanian @ 3.769
6 50% Danish +25% French_Basque +25% Romanian @ 3.812
7 50% German +25% Austrian +25% French_Basque @ 3.840
8 50% Irish +25% Austrian +25% Spanish_Andalucia @ 3.878
9 50% Irish +25% Austrian +25% Spanish_Valencia @ 3.998
10 50% Southeast_English +25% French_Basque +25% Romanian @ 4.122
304600 iterations.



Using 4 populations approximation:
1 Bulgarian + French_Basque + Irish + Irish @ 3.348
2 Bulgarian + French_Basque + Irish + West_Scottish @ 3.408
3 Bulgarian + Danish + French_Basque + Irish @ 3.438
4 French_Basque + Irish + Irish + Romanian @ 3.469
5 Bulgarian + French_Basque + West_Scottish + West_Scottish @ 3.510
6 Bulgarian + Danish + French_Basque + West_Scottish @ 3.546
7 Danish + French_Basque + Irish + Romanian @ 3.578
8 French_Basque + Irish + Romanian + West_Scottish @ 3.601
9 French_Basque + German + Irish + Romanian @ 3.632
10 Bulgarian + Danish + Danish + French_Basque @ 3.660
11 French_Basque + German + Romanian + West_Scottish @ 3.679
12 French_Basque + Irish + Romanian + Southeast_English @ 3.743
13 Danish + French_Basque + Romanian + West_Scottish @ 3.753
14 Bulgarian + French_Basque + Irish + Southeast_English @ 3.754
15 French_Basque + Romanian + West_Scottish + West_Scottish @ 3.769
16 Bulgarian + French_Basque + Irish + Swedish @ 3.805
17 Bulgarian + French_Basque + Southeast_English + West_Scottish @ 3.808
18 Danish + Danish + French_Basque + Romanian @ 3.812
19 Austrian + French_Basque + German + German @ 3.840
20 Bulgarian + French_Basque + German + West_Scottish @ 3.843

Walter Seranelli said...

Davidski, What do you make of these scores concerning this person's ethnic background?

Population Percent
1. North_Sea 26.35
2. Atlantic 25.28
3. West_Med 12.5
4. East_Med 9.12
5. Baltic 8.65
6. West_Asian 7.8
7. Eastern_Euro 7.25
8. Red_Sea 2.08

Single Population Sharing:

Population (source)Distance
1. French 4.97
2. German 9.24
3. Spanish_Cataluna 10.59
4. Spanish_Galicia 11.02
5. Southwest_English 11.13
6. Portuguese 11.4
7. Southeast_English 11.8
8. Spanish_Castilla_Y_Leon 11.92
9. Austrian 11.94
10. Serbian 12.29
11. Spanish_Extremadura 12.46
12. Spanish_Murcia 12.58
13. Dutch 12.82
14. North_Italian 13.31
15. Danish 13.5
16. Irish 13.67
17. Hungarian 13.72
18. West_Scottish 14.26
19. Spanish_Valencia 14.36
20. Spanish_Cantabria 14.57

Using 2 populations approximation:
1 50% Tuscan +50% West_Scottish @ 2.993
2 50% Danish +50% Tuscan @ 3.266
3 50% Irish +50% Tuscan @ 3.307
4 50% Orcadian +50% Tuscan @ 3.657
5 50% Danish +50% North_Italian @ 3.748
6 50% Dutch +50% North_Italian @ 4.005
7 50% North_Italian +50% West_Scottish @ 4.063
8 50% Southeast_English +50% Tuscan @ 4.081
9 50% Dutch +50% Tuscan @ 4.121
10 50% Irish +50% North_Italian @ 4.140
13695 iterations.



Using 3 populations approximation:
1 50% Southwest_English +25% German +25% Sephardic_Jewish @ 2.546
2 50% Southeast_English +25% French +25% Greek @ 2.559
3 50% French +25% Greek +25% West_Scottish @ 2.654
4 50% German +25% French +25% Tuscan @ 2.751
5 50% Southwest_English +25% French +25% Greek @ 2.774
6 50% West_Scottish +25% Greek +25% North_Italian @ 2.780
7 50% Southeast_English +25% Ashkenazi +25% French @ 2.796
8 50% West_Scottish +25% Ashkenazi +25% Spanish_Cataluna @ 2.808
9 50% French +25% Greek +25% Irish @ 2.809
10 50% Southeast_English +25% Serbian +25% Tuscan @ 2.816
381288 iterations.



Using 4 populations approximation:
1 German + Sephardic_Jewish + Southwest_English + Southwest_English @ 2.546
2 French + Greek + Southeast_English + Southeast_English @ 2.559
3 French + Greek + Southeast_English + Southwest_English @ 2.579
4 French + French + Greek + West_Scottish @ 2.654
5 French + German + German + Tuscan @ 2.751
6 German + Sephardic_Jewish + Southeast_English + Southwest_English @ 2.765
7 French + Greek + Southwest_English + Southwest_English @ 2.774
8 Greek + North_Italian + West_Scottish + West_Scottish @ 2.780
9 Ashkenazi + Irish + Spanish_Cataluna + West_Scottish @ 2.794
10 Ashkenazi + French + Southeast_English + Southeast_English @ 2.796
11 French + Greek + Irish + Southwest_English @ 2.799
12 Ashkenazi + French + Southeast_English + Southwest_English @ 2.802
13 Greek + Orcadian + Spanish_Extremadura + West_Scottish @ 2.805
14 Ashkenazi + Spanish_Cataluna + West_Scottish + West_Scottish @ 2.808
15 French + French + Greek + Irish @ 2.809
16 Serbian + Southeast_English + Southeast_English + Tuscan @ 2.816
17 Greek + Irish + Orcadian + Spanish_Extremadura @ 2.820
18 French + Greek + Southwest_English + West_Scottish @ 2.826
19 Ashkenazi + Irish + Irish + Spanish_Cataluna @ 2.833
20 Ashkenazi + Southeast_English + Spanish_Cataluna + West_Scottish @ 2.833

Cass M said...

Could you possibly interpret this for me, as in, what ethnic groups seem to be most recent? I am new to admixture analysis and am having trouble grasping the concept. I have no information on my maternal line except she is possibly Norwegian. My paternal line has some german mennonites/some scottish/english. What do my results look like to you?

Population
North_Sea 34.23%
Atlantic 28.34%
Baltic 12.99%
Eastern_Euro 9.50%
West_Med 7.33%
West_Asian 5.57%
East_Med 0.61%
Red_Sea -
South_Asian -
Southeast_Asian -
Siberian -
Amerindian 0.77%
Oceanian -
Northeast_African 0.45%
Sub-Saharan 0.15%

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.3% Irish + 11.7% Ukrainian_Northeast @ 2.14
2 85.7% Irish + 14.3% Polish @ 2.17
3 86.4% Irish + 13.6% Ukrainian_West @ 2.2
4 86.6% Irish + 13.4% Ukrainian @ 2.22
5 88.3% Irish + 11.7% Russian @ 2.22
6 50.6% Irish + 49.4% German @ 2.27
7 82.6% Irish + 17.4% Hungarian @ 2.35
8 55.1% German + 44.9% West_Scottish @ 2.41
9 90.6% Irish + 9.4% Erzya @ 2.43
10 83.6% West_Scottish + 16.4% Polish @ 2.5
11 89% Irish + 11% Belorussian @ 2.53
12 84.4% West_Scottish + 15.6% Ukrainian_West @ 2.53
13 89.6% Irish + 10.4% Kargopol_Russian @ 2.55
14 86.7% West_Scottish + 13.3% Ukrainian_Northeast @ 2.56
15 82.7% Irish + 17.3% Austrian @ 2.59
16 79.8% West_Scottish + 20.2% Hungarian @ 2.6
17 90.3% Irish + 9.7% Lithuanian @ 2.61
18 84.7% West_Scottish + 15.3% Ukrainian @ 2.63
19 86.7% West_Scottish + 13.3% Russian @ 2.66
20 79.3% West_Scottish + 20.7% Austrian @ 2.72

Pct. Calc. Option 1-Oracle X

1 Irish 66.49%
2 West_Scottish 15.83%
3 Lithuanian 6.59%
4 German 5.50%
5 Chechen 3.88%
6 Ukrainian 1.03%
7 French_Basque 0.65%
8 Polish 0.02%
9 Ukrainian_West 0.01%

Andrea L said...

I just received my results yesterday and I'm somewhat new to learning about geneology and found my results somewhat interesting in that I must have inherited much more from paternal line then maternal. And I know very little about my paternal line except my maiden surname is German.
These are my results:

Admix Results (sorted):


# Population Percent
1 North_Sea 33.54
2 Atlantic 21.62
3 West_Med 11.21
4 Eastern_Euro 9.54
5 Baltic 9.15
6 West_Asian 3.94
7 Amerindian 3.70
8 East_Med 3.03
9 Red_Sea 2.02
10 South_Asian 1.17
11 Southeast_Asian 1.07

Using 1 population approximation:
1 German @ 7.602
2 Dutch @ 7.701
3 Southwest_English @ 8.792
4 Southeast_English @ 9.801
5 Danish @ 10.268
6 French @ 10.282
7 Norwegian @ 10.379
8 Orcadian @ 10.543
9 Irish @ 11.410
10 West_Scottish @ 11.539
165 iterations.

Using 2 populations approximation:
1 50% French +50% Norwegian @ 5.091
2 50% French +50% Swedish @ 5.476
3 50% French +50% North_Swedish @ 5.588
4 50% Dutch +50% French @ 6.027
5 50% French +50% Orcadian @ 6.362
6 50% Norwegian +50% Spanish_Galicia @ 6.458
7 50% Spanish_Galicia +50% Swedish @ 6.541
8 50% North_Swedish +50% Spanish_Galicia @ 6.567
9 50% Dutch +50% German @ 7.135
10 50% Norwegian +50% Portuguese @ 7.278
13695 iterations.

Using 3 populations approximation:
1 50% French +25% North_Swedish +25% Norwegian @ 5.066
2 50% French +25% Norwegian +25% Norwegian @ 5.091
3 50% Norwegian +25% French +25% French @ 5.091
4 50% Norwegian +25% North_Italian +25% Norwegian @ 5.168
5 50% Norwegian +25% Dutch +25% North_Italian @ 5.227
6 50% Norwegian +25% German +25% Spanish_Galicia @ 5.230
7 50% French +25% Norwegian +25% Swedish @ 5.239
8 50% French +25% North_Swedish +25% Orcadian @ 5.271
9 50% Norwegian +25% North_Italian +25% Orcadian @ 5.276
10 50% French +25% Dutch +25% North_Swedish @ 5.306
364926 iterations.

Using 4 populations approximation:
1 French + French + North_Swedish + Norwegian @ 5.066
2 French + French + Norwegian + Norwegian @ 5.091
3 North_Italian + Norwegian + Norwegian + Norwegian @ 5.168
4 French + North_Swedish + Norwegian + Spanish_Galicia @ 5.193
5 Dutch + North_Italian + Norwegian + Norwegian @ 5.227
6 German + Norwegian + Norwegian + Spanish_Galicia @ 5.230
7 French + French + Norwegian + Swedish @ 5.239
8 French + French + North_Swedish + Orcadian @ 5.271
9 North_Italian + Norwegian + Norwegian + Orcadian @ 5.276
10 Dutch + French + French + North_Swedish @ 5.306
11 French + Norwegian + Norwegian + Spanish_Galicia @ 5.310
12 Dutch + Norwegian + Norwegian + Spanish_Galicia @ 5.314
13 French + French + North_Swedish + Swedish @ 5.327
14 Dutch + Dutch + North_Swedish + Spanish_Galicia @ 5.336
15 Dutch + Dutch + Norwegian + Spanish_Galicia @ 5.352
16 Norwegian + Norwegian + Norwegian + Tuscan @ 5.367
17 North_Italian + North_Swedish + Norwegian + Orcadian @ 5.374
18 French + North_Swedish + Spanish_Galicia + Swedish @ 5.379
19 French + Norwegian + Spanish_Galicia + Swedish @ 5.383
20 Norwegian + Norwegian + Orcadian + Tuscan @ 5.393

1116292 iterations.


I really have no idea where the Tuscan comes from. That's probably one of the few things that stands out to me the most.

Davidski said...

The results suggest someone who's of mixed North Euro/South Euro ancestry, and the South Euro part is probably Jewish.

Walter Seranelli said...

How much Northern European would you figure this person is in general?

Actually, as far as I know this person is 1/4rd Southern Italian, but I'm just wondering its common for Southern Italians to plot near Sephardic Jews or Cypriots.

The reason I'm asking also is because I want to see whether this person received an even distribution of Southern Italian and Northern European, or a bit more Southern Italian or Northern European than what should be expected on average.

Davidski said...

I just sent off an extra population averages sheet to GEDmatch which includes a South Italian reference group. That should fix the problem of Italians and Greeks coming out Sephardic or Ashkenazi, because, yes, these populations are indeed very similar, and they do often plot next to each other.

When the new references are added, run the test again and then we'll see what the North Euro/South Euro proportions look like. At the moment they're probably a bit skewed.

Justin DeWind said...

I'd also be interested in any input you may have on my ethnic background.

Davidski said...

At this stage, I'd say that you're mostly Northwest/Central European, but perhaps also half Southern European, and possibly in large part Balkan. But I'll have to look at your results again when the new references come on board. That should happen within a few days.

Waviking26 said...

I would have to look into that. I do see it on a lot of other kits with British ancestry, just not quite that high. This test really seems to pull me towards Denmark quite a bit compared to others, is that the North Sea/Eastern European that is doing that? On paper I don't have any Danish ancestry, but I suppose some of that might come from English ancestors?

Walter Seranelli said...

That's interesting to know, and I'm also curious how many Southern Italians plot near Cypriots, because I know Cypriots are by and large more East-Mediterranean/West-Asian and less Western European/Northern European than Southern Italians.

I know Southern Italians plot close to Greece, and I'd expect that this might mean some Southern Italians would plot near Greek Cypriots.

Cypriots do appear to be more bottlenecked East-Mediterranean/Northern Semitic, or whatever you want to call it, then Southern Italians though, so that is why I'm curious how many Southern Italians plot right on Cypriots.

Gui S said...

Some fascinating results around there.
-Normand results halfway between Scotland and Southwestern France or Iberia. Indicating that Western France really seems to be a gradient between Basco-Iberian to the South and Keltic British to the West. While the East of the country seems like a very different story on a gradiant from Basque to Central Europe.

The Boyko result is also super interesting, that guy has as much Atlantic as I do and gets Austrian as closest result! Could it be that Carpathian populations are in the continuity of the Alps and display a view of pre-Slavic Eastern European highlands? The 50% Belarus + 25% Greek + 25% Southwest France result is quite interesting in that regard.
It reminds me of how the Kosovo sample from the MDLP clustered very close to Corsicans and other Southwestern Mediterraneans....

Davidski said...

Danish + Spanish, or whatever, is just the best fit for your results. But yes, you probably do have Danish ancestry along multiple lines dating back to the Middle Ages.

Davidski said...

See here...

http://eurogenes.blogspot.com.au/2013/08/principal-component-analysis-pca-of.html

Justin DeWind said...

Thanks for the response.

The Balkan region makes sense. The other GedMatch tools tended to categorize me as overwhelming Hungarian (least-squares ~1 and percentage 60-80%)

R lewis said...

what about the Abhkasian and the ethiopian?

theriver03 said...

@Davidski (regarding to comment on Tesmos results): I'm of northern Dutch origin (also Frisian and northern Germany); My results show way more Swedish than Norwegian; could this also be more of Frisian origin? I understand you need more samples from this area... to know more about this maybe.

Just wondering: what is the difference between Norwegian and Swedish genetically? I'm completely new to this so please excuse me if I ask weird questions... maybe I should post my results here if you could see how real they are or how I should interpret the results, what I am genetically?

Davidski said...

That's via your European and African ancestry. The Ethiopian is probably both, because Ethiopians are mixed.

Davidski said...

It sounds like the results match your Frisian origins.

The difference between Norwegians and Swedes is that the former are more Atlantic while the latter more North-Central and Eastern European. So I'd say the reason you're getting Swedish, and the other Frisian (?) is getting Norwegian, is because you're less Atlantic than him. This difference might be related to where you come from in Frisia, or it might just reflect the diversity that exists between individual Frisians.

Liz Davenport said...

David, would you kindly explain what the difference is between the Oracle-X Pct. Calc. Option 1 and Pct. Calc. Option 2? Also, I have noticed that Basque (especially French Basque) is a recurring result for me. I have understood that the Basques have a rather unique, identifiable genetic signature -- is that correct? I don't know of any Basques in my family's lines, but do you think that it could be actually Basque ancestry, or is there another interpretation for it? Here are the related results:

Admix Results:
# Population Percent
1 North_Sea 28.79
2 Atlantic 29.73
3 Baltic 9.09
4 Eastern_Euro 8.82
5 West_Med 9.43
6 West_Asian 7.61
7 East_Med 2.53
8 Red_Sea 0.00
9 South_Asian 1.55
10 Southeast_Asian 0.25
11 Siberian 0.32
12 Amerindian 0.00
13 Oceanian 0.43
14 Northeast_African 0.00
15 Sub-Saharan 1.46


Pct. Calc. Option 1
1 Southeast_English 69.30%
2 French_Basque 15.17%
3 Chechen 8.98%
4 Kargopol_Russian 2.17%
5 Southwest_Finnish 1.72%
6 Burusho 1.45%
7 Yoruban 1.21%
8 Abhkasian 0.00%
9 Ukrainian_Northeast 0.00%
10 Chuvash 0.00%

Thanks! :-)

Davidski said...

OK, I didn't design the oracles, so I don't know what the differences are between them. My advice is to try them all, look at other people's results, and in that way figure out what each oracle is focusing on (ie. ancient vs. more recent ancestry).

Also, the Basques show up in many users' results, and that's probably due to the fact that there was a large expansion from Iberia of Basque-like populations during the late Neolithic. They were called the Bell Beakers.

Tesmos said...

Very interesting teriver03, because i have seen results of other Frisians/North Germans and they score similiar but they all have higher Atlantic and lesser north central Euro than me, but my West Asian is higher than average.

Liz Davenport said...

Thank you. That makes sense, as I have gotten Iberian results of around 17% or so, and had wondered about them.

Christine Manczuk said...

The Saami idea makes more sense the more I think of it. This is an article that makes me think it is definitely the most likely:
http://blogs.discovermagazine.com/gnxp/2010/12/the-men-of-the-north-the-sami/#.UleVZtJFTTo

Sheila Hightower-Allen said...

Please tell me what my results suggest.


Admix Results (sorted):
# Population Percent
1 Sub-Saharan 72.66
2 North_Sea 6.19
3 Atlantic 6
4 West_Med 4.77
5 Northeast_African 4.48
6 East_Med 2.97
7 Eastern_Euro 1.55
8 Oceanian 0.55
9 Baltic 0.51
10 Amerindian 0.27
11 West_Asian 0.04

Single Population Sharing:
# Population (source) Distance
1 Biaka_Pygmy 20.43
2 Bantu_S.E. 20.72
3 Bantu_S.W. 21.43
4 Bantu_N.E. 22.72
5 Luhya 22.73
6 Mandenka 22.99
7 Mbuti_Pygmy 28.05
8 Yoruban 29.28
9 San 41.21
10 Sudanese 55
11 Ethiopian_Anuak 61.89
12 Sandawe 66.28
13 Maasai 72.25
14 Hadza 77.4
15 Mozabite_Berber 79.11
16 Algerian 80.54
17 Moroccan 83.05
18 Ethiopian_Gumuz 83.69
19 Egyptian 88.18
20 Spanish_Galicia 90.52

Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80% Mandenka + 20% Spanish_Cataluna @ 2.61
2 75.7% Yoruban + 24.3% Portuguese @ 2.71
3 79.9% Mandenka + 20.1% Portuguese @ 2.8
4 80% Mandenka + 20% Spanish_Murcia @ 2.85
5 79.9% Mandenka + 20.1% Spanish_Galicia @ 2.86
6 80.1% Mandenka + 19.9% French @ 2.89
7 75.6% Yoruban + 24.4% Spanish_Galicia @ 2.92
8 79.9% Mandenka + 20.1% Spanish_Extremadura @ 2.96
9 80.1% Mandenka + 19.9% Spanish_Cantabria @ 2.97
10 75.8% Yoruban + 24.2% Spanish_Murcia @ 3.02
11 80.1% Mandenka + 19.9% Spanish_Valencia @ 3.02
12 80% Mandenka + 20% Spanish_Castilla_Y_Leon @ 3.05
13 75.7% Yoruban + 24.3% Spanish_Extremadura @ 3.1
14 75.9% Yoruban + 24.1% Spanish_Cataluna @ 3.11
15 80.3% Mandenka + 19.7% Spanish_Aragon @ 3.15
16 75.8% Yoruban + 24.2% Spanish_Castilla_Y_Leon @ 3.18
17 80.2% Mandenka + 19.8% Spanish_Castilla_La_Mancha @ 3.2
18 80.3% Mandenka + 19.7% Southwest_French @ 3.25
19 80.1% Mandenka + 19.9% Spanish_Andalucia @ 3.36
20 75.9% Yoruban + 24.1% French @ 3.45


Sheila Hightower-Allen said...

These are the results of the other report I ran. Is what it is saying here different from the other report I submitted? Is so, how?

Eurogenes EUtest V2 K15 Oracle results:
Kit M365104

Admix Results (sorted):
# Population Percent
1 Sub-Saharan 72.66
2 North_Sea 6.19
3 Atlantic 6
4 West_Med 4.77
5 Northeast_African 4.48
6 East_Med 2.97
7 Eastern_Euro 1.55
8 Oceanian 0.55
9 Baltic 0.51
10 Amerindian 0.27
11 West_Asian 0.04

Single Population Sharing:
# Population (source) Distance
1 Biaka_Pygmy 20.43
2 Bantu_S.E. 20.72
3 Bantu_S.W. 21.43
4 Bantu_N.E. 22.72
5 Luhya 22.73
6 Mandenka 22.99
7 Mbuti_Pygmy 28.05
8 Yoruban 29.28
9 San 41.21
10 Sudanese 55
11 Ethiopian_Anuak 61.89
12 Sandawe 66.28
13 Maasai 72.25
14 Hadza 77.4
15 Mozabite_Berber 79.11
16 Algerian 80.54
17 Moroccan 83.05
18 Ethiopian_Gumuz 83.69
19 Egyptian 88.18
20 Spanish_Galicia 90.52

Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80% Mandenka + 20% Spanish_Cataluna @ 2.61
2 75.7% Yoruban + 24.3% Portuguese @ 2.71
3 79.9% Mandenka + 20.1% Portuguese @ 2.8
4 80% Mandenka + 20% Spanish_Murcia @ 2.85
5 79.9% Mandenka + 20.1% Spanish_Galicia @ 2.86
6 80.1% Mandenka + 19.9% French @ 2.89
7 75.6% Yoruban + 24.4% Spanish_Galicia @ 2.92
8 79.9% Mandenka + 20.1% Spanish_Extremadura @ 2.96
9 80.1% Mandenka + 19.9% Spanish_Cantabria @ 2.97
10 75.8% Yoruban + 24.2% Spanish_Murcia @ 3.02
11 80.1% Mandenka + 19.9% Spanish_Valencia @ 3.02
12 80% Mandenka + 20% Spanish_Castilla_Y_Leon @ 3.05
13 75.7% Yoruban + 24.3% Spanish_Extremadura @ 3.1
14 75.9% Yoruban + 24.1% Spanish_Cataluna @ 3.11
15 80.3% Mandenka + 19.7% Spanish_Aragon @ 3.15
16 75.8% Yoruban + 24.2% Spanish_Castilla_Y_Leon @ 3.18
17 80.2% Mandenka + 19.8% Spanish_Castilla_La_Mancha @ 3.2
18 80.3% Mandenka + 19.7% Southwest_French @ 3.25
19 80.1% Mandenka + 19.9% Spanish_Andalucia @ 3.36
20 75.9% Yoruban + 24.1% French @ 3.45


Davidski said...

They look like the same results to me.

Anyway, you appear to be African-American with around 77% West African ancestry.

sds said...

David, I don't if Gedmatch has included your extra populations into their calculator yet, but mine have changed slightly. Interestingly, however, every reading has gone down nominally, while some Siberian presence has appeared:
ORIGINAL RUN:
# Population Percent
1 North_Sea 30.96
2 Atlantic 22.94
3 Baltic 11.59
4 West_Med 11.45
5 Eastern_Euro 9.62
6 West_Asian 6.99
7 East_Med 3.59
8 Red_Sea 1.43
9 South_Asian 1.43


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

Using 1 population approximation:
1 German @ 4.647
2 Dutch @ 8.263
3 French @ 8.583
4 Southwest_English @ 8.762
5 Southeast_English @ 9.843

Using 2 populations approximation:
1 50% French +50% German @ 4.527
2 50% Hungarian +50% Southwest_English @ 4.620
3 50% German +50% German @ 4.647
4 50% Orcadian +50% Serbian @ 4.856
5 50% French +50% Swedish @ 4.960

Using 3 populations approximation:
1 50% Dutch +25% Romanian +25% Southwest_English @ 2.933
2 50% Southwest_English +25% Dutch +25% Romanian @ 3.053
3 50% Southwest_English +25% Norwegian +25% Romanian @ 3.065
4 50% Dutch +25% Bulgarian +25% Southwest_English @ 3.107
5 50% Southwest_English +25% Bulgarian +25% Norwegian @ 3.137

Using 4 populations approximation:
1 Dutch + Dutch + Romanian + Southwest_English @ 2.933
2 Dutch + Romanian + Southwest_English + Southwest_English @ 3.053
3 Norwegian + Romanian + Southwest_English + Southwest_English @ 3.065
4 Dutch + German + Romanian + Southwest_English @ 3.101
5 Bulgarian + Dutch + Dutch + Southwest_English @ 3.107

Pct. Calc. Option 1
1 German 45.25%
2 Norwegian 37.40%
3 Sardinian 9.34%
4 Chechen 6.49%
5 Punjabi_Jat 1.21%
6 Hakas 0.20%
7 Shors 0.08%
8 Nogay 0.03%
9 Makrani 0.00%
10 Lezgin 0.00%

CURRENT RUN:
# Population Percent
1 North_Sea 30.77
2 Atlantic 22.8
3 Baltic 11.52
4 West_Med 11.38
5 Eastern_Euro 9.56
6 West_Asian 6.94
7 East_Med 3.57
8 Red_Sea 1.42
9 South_Asian 1.42
10 Siberian 0.6
11 Amerindian 0.02

Single Population Sharing:

# Population (source) Distance
1 German 4.19
2 Dutch 7.25
3 French 7.47
4 Southwest_English 7.64
5 Southeast_English 8.6
6 Danish 9.42
7 Irish 10.03
8 Norwegian 10.41
9 West_Scottish 10.48
10 Orcadian 10.71
11 Swedish 10.91
12 Hungarian 11.45
13 Austrian 11.67
14 North_Swedish 12.03
15 Serbian 14.14
16 Southwest_Finnish 14.58
17 Spanish_Galicia 14.93
18 Spanish_Cataluna 15.57
19 Portuguese 16.24
20 Spanish_Castilla_Y_Leon 16.86

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.4% Dutch + 27.6% Romanian @ 3.05
2 75.6% Dutch + 24.4% Bulgarian @ 3.06
3 80.3% Dutch + 19.7% Greek @ 3.08
4 91.4% German + 8.6% Ashkenazi @ 3.1
5 94.6% German + 5.4% Armenian @ 3.14
6 66.4% Southwest_English + 33.6% Serbian @ 3.15
7 93.7% German + 6.3% Turkish @ 3.16
8 71.3% Southwest_English + 28.7% Romanian @ 3.18
9 89.4% German + 10.6% Tuscan @ 3.18
10 93.4% German + 6.6% Tadjik @ 3.2
11 94.2% German + 5.8% Sardinian @ 3.23
12 94.9% German + 5.1% Makrani @ 3.23
13 95% German + 5% Brahui @ 3.24
14 94.4% German + 5.6% Cyprian @ 3.25
15 94% German + 6% Kumyk @ 3.25
16 94.9% German + 5.1% Balochi @ 3.25
17 87.8% German + 12.2% North_Italian @ 3.26
18 94.7% German + 5.3% Iranian @ 3.27
19 94.9% German + 5.1% Assyrian @ 3.27
20 94.6% German + 5.4% Syrian @ 3.27

Pct. Calc. Option 1

1 German 45.25%
2 Norwegian 37.40%
3 Sardinian 9.34%
4 Chechen 6.49%
5 Punjabi_Jat 1.21%
6 Hakas 0.20%
7 Shors 0.08%
8 Nogay 0.03%
9 Makrani 0.00%
10 Lezgin 0.00%

M Conteren said...

Here comes the result of my uncle on the maternal side. My own results are already somewhere in the list above. What do you think, is it a German profile as well? My uncle is above all Northern German with in addition 3% known ancestry from Denmark and around 3.5% from Prague. However, the Irish seems to dominate here. Doug McDonald already designated my uncle as Irish or some Scandinavian ......

# Population Percent
1 North_Sea 33.57
2 Atlantic 29.97
3 Baltic 17.13
4 Eastern_Euro 10.79
5 West_Med 5.74
6 West_Asian 2.29
7 Amerindian 0.51


# Population (source) Distance
1 Irish 6.53
2 Danish 6.87
3 West_Scottish 7.17
4 Dutch 7.18
5 German 7.21
6 Southeast_English 7.79
7 Swedish 8.23
8 Norwegian 8.5
9 Southwest_English 8.91
10 Orcadian 9.08
11 North_Swedish 9.63
12 Southwest_Finnish 11.46
13 Austrian 14.8
14 French 15.15
15 Finnish 15.35
16 Hungarian 15.81
17 Polish 18.69
18 Estonian 19.71
19 Ukrainian_West 20.13
20 Ukrainian 20.21


# Primary Population (source) Secondary Population (source) Distance
1 80.9% Irish + 19.1% Lithuanian @ 2.56
2 79.3% Irish + 20.7% Belorussian @ 2.87
3 79.4% West_Scottish + 20.6% Lithuanian @ 2.88
4 77.7% West_Scottish + 22.3% Belorussian @ 3.17
5 77.3% Irish + 22.7% Estonian @ 3.18
6 81.4% Irish + 18.6% Ukrainian_Northeast @ 3.66
7 81.1% Irish + 18.9% Russian @ 3.66
8 66.9% Irish + 33.1% Southwest_Finnish @ 3.72
9 76% West_Scottish + 24% Estonian @ 3.73
10 77.4% Irish + 22.6% Polish @ 3.74
11 81.7% Danish + 18.3% Lithuanian @ 3.9
12 75.4% West_Scottish + 24.6% Polish @ 3.98
13 79.9% West_Scottish + 20.1% Ukrainian_Northeast @ 3.98
14 79.3% Irish + 20.7% Ukrainian @ 4
15 79.6% West_Scottish + 20.4% Russian @ 4.01
16 82.9% Irish + 17.1% Kargopol_Russian @ 4.09
17 79.2% Southeast_English + 20.8% Lithuanian @ 4.1
18 80.3% Danish + 19.7% Belorussian @ 4.15
19 79.7% Irish + 20.3% Ukrainian_West @ 4.17
20 85.2% Irish + 14.8% Erzya @ 4.18


1 Irish 79.64%
2 Lithuanian 19.14%
3 French_Basque 1.15%
4 Southwest_Finnish 0.05%
5 Estonian 0.01%
6 Polish 0.01%
7 Belorussian 0.00%
8 Austrian 0.00%
9 Finnish 0.00%
10 German 0.00%


Pct. Calc. Option 2

1 Irish 45.47%
2 Southwest_Finnish 17.98%
3 Lithuanian 9.28%
4 German 8.34%
5 Austrian 4.74%
6 French_Basque 4.42%
7 West_Scottish 3.70%
8 Danish 2.92%
9 Southeast_English 2.06%
10 Swedish 1.09%

booger said...

Very cool, thanks. One thing, I see a lot more Norwegian than I'd expect. I don't know what that means. ???

Marco said...

Davidski,

Can you please release the population group averages? I like to make my own spreadsheets to compare my family's individual results with the POP sample groups.

Thanks!

Davidski said...

What does he get in the original EUtest and Jtest oracles?

M Conteren said...

EU Test
# Population Percent
1 NORTH-CENTRAL_EURO 27.04
2 ATLANTIC 26.19
3 SOUTH_BALTIC 18.15
4 EAST_EURO 15.38
5 WEST_MED 8.82
6 WEST_ASIAN 4.41


# Population (source) Distance
1 South_&_Central_Swedish 3.9
2 NO 4.22
3 DK 6.03
4 Orcadian 6.44
5 North_Swedish 6.53
6 NL 6.86
7 West_&_Central_German 7.21
8 IE 7.34
9 Scottish 7.98
10 English 8.14
11 Cornish 8.42
12 AT 11.87
13 South_Finnish 14.62
14 HU 15.53
15 FR 16.08
16 PL 17.11
17 EE 18.84
18 West_Russian 19.08
19 UA 19.31
20 Serbian 19.75


# Primary Population (source) Secondary Population (source) Distance
1 72.5% IE + 27.5% EE @ 1.84
2 75.2% Orcadian + 24.8% EE @ 1.84
3 79.8% Orcadian + 20.2% LIT @ 2.02
4 77.4% IE + 22.6% LIT @ 2.02
5 79.5% Orcadian + 20.5% Northwest_Russian @ 2.34
6 77.6% Orcadian + 22.4%Belorussian @ 2.4
7 74.9% IE + 25.1% Belorussian @ 2.44
8 77.1% IE + 22.9%Northwest_Russian @ 2.51
9 71.3% Scottish + 28.7% EE @ 2.73
10 73.4% Scottish + 26.6%Belorussian @ 2.8
11 76.4% Scottish + 23.6% LIT @ 2.84
12 76.6% Orcadian + 23.4%West_Russian @ 2.88
13 74.6% Orcadian + 25.4% PL @ 2.9
14 75.7%Scottish + 24.3%Northwest_Russian @ 2.94
15 71.5% IE + 28.5% PL @ 2.98
16 71.6% Orcadian + 28.4%South_Finnish @ 3.06
17 78.2%Orcadian + 21.8%Ukrainian-Russian @ 3.07
18 77.1% Orcadian + 22.9% UA @ 3.08
19 74% IE + 26% West_Russian @ 3.19
20 69.7% Scottish + 30.3% PL @ 3.19


Pct. Calc. Option 1

1 IE 44.58%
2 NO 25.26%
3 LIT 16.69%
4 South_&_Central_Swedish 7.18%
5 Scottish 6.29%
6 Erzya 0.00%
7 West_Russian 0.00%
8 Lezgin 0.00%
9 French_Basque 0.00%
10 East_Russian 0.00%


Pct. Calc. Option 2

0 Unable to determine 0.01%
1 South_&_Central_Swedish 52.84%
2 French_Basque 8.33%
3 IE 8.23%
4 Erzya 6.77%
5 Scottish 6.77%
6 West_Russian 6.65%
7 LIT 4.33%
8 Orcadian 2.92%
9 NO 2.05%
10 Cornish 1.09%


J Test:

# Population Percent
1 NORTH-CENTRAL_EURO 26.9
2 ATLANTIC 25.87
3 SOUTH_BALTIC 18.12
4 EAST_EURO 15.2
5 WEST_MED 8.34
6 WEST_ASIAN 3.7
7 ASHKENAZI 1.87


# Primary Population (source) Secondary Population (source) Distance
1 75.1% Orcadian + 24.9% EE @ 1.48
2 72.2% IE + 27.8% EE @ 1.75
3 79.9% Orcadian + 20.1% LIT @ 1.79
4 77.3% IE + 22.7% LIT @ 1.96
5 77.5% Orcadian + 22.5% Belorussian @ 2.07
6 79.6% Orcadian + 20.4% Northwest_Russian @ 2.13
7 74.7% IE + 25.3% Belorussian @ 2.3
8 77% IE + 23% Northwest_Russian @ 2.44
9 71.3% Scottish + 28.7% EE @ 2.59
10 74.4% Orcadian + 25.6% PL @ 2.6
11 73.4% Scottish + 26.6%Belorussian @ 2.64
12 76.8% Orcadian + 23.2%West_Russian @ 2.71
13 76.5% Scottish + 23.5% LIT @ 2.78
14 76.9% Orcadian + 23.1% UA @ 2.79
15 71.2% IE + 28.8% PL @ 2.8
16 71.2% Orcadian + 28.8%South_Finnish @ 2.82
17 78.3% Orcadian + 21.7%Ukrainian-Russian @ 2.86
18 76% Scottish + 24% Northwest_Russian @ 2.9
19 71.7% English + 28.3% EE @ 2.94
20 70.6% Cornish + 29.4% EE @ 2.97


Pct. Calc. Option 1

1 IE 39.69%
2 South_&_Central_Swedish 33.93%
3 LIT 15.24%
4 Scottish 11.14%
5 South_Finnish 0.00%
6 Erzya 0.00%
7 West_Russian 0.00%
8 Lezgin 0.00%
9 French_Basque 0.00%
10 East_Russian 0.00%


Pct. Calc. Option 2

0 Unable to determine 0.01%
1 South_&_Central_Swedish 53.10%
2 IE 8.22%
3 French_Basque 8.21%
4 Scottish 6.73%
5 Erzya 6.69%
6 West_Russian 6.65%
7 LIT 4.33%
8 Orcadian 2.92%
9 Cornish 2.05%
10 English 1.09%

Davidski said...

You look like a recent mix of west and east European. Try the original EUtest and Jtest and see if you get a different outcome, but it seems like a pretty solid result.

Davidski said...

He's Scandinavian-like, but also shows unusually high Atlantic affinity, hence the Irish result. Maybe it's some sort of Megalithic or Bell Beaker survival on the Northwest European mainland? There might be pockets of that sort of thing across Northwest Germany that my single German population average doesn't pick up? I should add a North German pop average at some point.

Davidski said...

Well you definitely have Amerindian admix, and probably some sort of Southern European ancestry, hence the Tuscan result. It need not come from Tuscany though.

M Conteren said...

This would be great. My uncle is 96% Northern German and Southern Jytland as far as known ancestry is concerned (47% Mecklenburg, 21% Lower Saxony, 19% Schleswig-Holstein, 6% Hamburg, 3% Denmark). His Y DNA is I1 (ultra norse), another line from his grand-ma's side is I1 as well (but Anglo-Saxon). Mecklenburg population is a mix of Slavs and settlers from German mainland west of it, such as Saxons, Angles, Frisians and even Dutch, Flemings and some Scots and probably Danes/Swedes. People from Schleswig-Holstein might be partly of Danish origin as well (my uncle has the surname Christensen in his tree, from a person living in Husum/Northern Frisia).

jackson_montgomery_devoni said...

Has anyone's results changed much since Davidski mentioned they may?..Davidski are they expected to change since you gave that info to John at GEDmatch?

Davidski said...

I haven't seen any changes yet, but I haven't heard back from John either so he probably hasn't got around to updating the oracles yet.

Davidski said...

The pop averages and Fst distances are up. See links above.

Gui, when you make some maps, please post them here in the comments section, and then I'll upload them to the main post. Cheers

Graham Little said...

Parents & I. We all come as 1.Orkney 2.W Scot 3.Denmark
This is the most accurate Oracle to date, of any run.

For anyone who doesn't know Orkney. It's basically W Scot + Scandinavian.

jackson_montgomery_devoni said...

Okay but should it just be our Oracle results that change? Or will our ADMIXTURE component percentage results change as well?

Davidski said...

Just oracle results.

RC Caudill said...

Hey David,
I had a question about my Sub-Saharan African ancestry. I have been trying to find something it on paper. I did find out that my great+4-5 Grandparents did have A LOT of slaves. It was them in the Slave Schedule I mentioned before. My great great great Grandmother was supposed to have been full blooded "Cherokee". But all I get from my family is that she was found by a white family and they adopted her and she married my great great great Grandfather. Anyway, I was busy trying to configure what "percent" of my DNA is of African origin. I was looking at the reference population for the Hunter Gatherer vs Farmer Test, the reference population of the Bantu Farmer is West Africa. I am assuming Nigeria? Like from the K9 Test.? And the reference population for the Pygmy Hunter Gatherer is Mbuti Pygmy from the Congo. Going off the results from the K9 and other tests with only West Africa as a group or Nigeria, I have 97%. Although I only matched the Bantu Farmer at 0.30% with the hunter gatherer test. And I matched the Pygmy at 0.82%. So I noticed the Bantu Farmer or West African results is about 3 times as high as what is displayed in the Hunter Gather test vs the K9 and others. So my question is would it be about the same for the Pygmy? Would my 0.82% Pygmy results displayed in the Hunter gatherer test equal about 3 times as high in other tests if it were a population? (I know that the Pygmy is a reference pop in the K13 test and the results come out to 0.69% in this test. The West African results are only 0.56%.) So do I therefore have a higher percentage then what is displayed in the tests counting only the west African or Nigerian?

RC Caudill said...

Correction that was 0.97%*. The reason I am trying to figure this out is because I thought maybe it might be able to help me place my ancestor at a time line in terms of how many generations ago. I know that it may sound silly and be an absolute waste of time because of the nature of autosomal DNA but I am not having any luck from records or family etc.

Davidski said...

The Pygmy is shown as the extra West African when there's no Pygmy component. You certainly only have around 1% Sub-Saharan African ancestry. But despite the minor amount, it's persistent and likely to be admixture within a reasonable timeframe.

RC Caudill said...

I am sure you are correct David. I will just have to keep searching.

crowens3 said...

1% corresponds to roughly 6-7 generations back. On average,1.56% for 6 generations back and 0.78% for 7 generations back. Since there are recombination events, etc, there are no absolutes only rough approximations.

Ishamael said...

Hi David,
This is very interesting although from the results I'm sure I don't understand it at all. My ethnicity is Norwegian, Italian and some colonial American German and Scottish/English. Would you help me interpret this?
Thanks.

Admix Results (sorted):

# Population Percent
1 North_Sea 25.80
2 Atlantic 18.69
3 East_Med 15.69
4 West_Med 15.00
5 West_Asian 8.87
6 Eastern_Euro 8.29
7 Baltic 6.36
8 Red_Sea 1.31


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

Least-squares method.

Using 1 population approximation:
1 French @ 12.998
2 North_Italian @ 13.090
3 Serbian @ 13.150
4 Spanish_Galicia @ 14.548
5 Romanian @ 14.862
6 Portuguese @ 14.997
7 Tuscan @ 15.013
8 Spanish_Cataluna @ 16.042
9 Spanish_Extremadura @ 16.462
10 Bulgarian @ 16.980
165 iterations.



Using 2 populations approximation:
1 50% Ashkenazi +50% Southwest_English @ 5.972
2 50% Ashkenazi +50% Orcadian @ 6.167
3 50% Ashkenazi +50% Southeast_English @ 6.370
4 50% Ashkenazi +50% Dutch @ 6.471
5 50% Ashkenazi +50% Danish @ 6.813
6 50% Ashkenazi +50% West_Scottish @ 6.922
7 50% Norwegian +50% Sephardic_Jewish @ 6.968
8 50% Greek +50% Orcadian @ 7.085
9 50% Ashkenazi +50% Norwegian @ 7.218
10 50% Ashkenazi +50% Irish @ 7.226
13695 iterations.



Using 3 populations approximation:
1 50% Norwegian +25% Cyprian +25% North_Italian @ 4.826
2 50% Orcadian +25% Cyprian +25% North_Italian @ 4.830
3 50% Orcadian +25% Cyprian +25% Tuscan @ 4.893
4 50% Dutch +25% Cyprian +25% North_Italian @ 5.002
5 50% Norwegian +25% Cyprian +25% Tuscan @ 5.058
6 50% French +25% Cyprian +25% Norwegian @ 5.100
7 50% French +25% Lebanese_Christian +25% Norwegian @ 5.319
8 50% French +25% Cyprian +25% Dutch @ 5.343
9 50% French +25% Cyprian +25% Orcadian @ 5.367
10 50% French +25% Cyprian +25% Swedish @ 5.391
526852 iterations.



Using 4 populations approximation:
1 Cyprian + North_Italian + Norwegian + Orcadian @ 4.650
2 Cyprian + Dutch + North_Italian + Norwegian @ 4.763
3 Cyprian + Dutch + North_Italian + Orcadian @ 4.773
4 Cyprian + Norwegian + Orcadian + Tuscan @ 4.804
5 Cyprian + North_Italian + Norwegian + Norwegian @ 4.826
6 Cyprian + North_Italian + Orcadian + Orcadian @ 4.830
7 Cyprian + Orcadian + Orcadian + Tuscan @ 4.893
8 Cyprian + North_Italian + Norwegian + Southwest_English @ 4.901
9 Cyprian + Dutch + Dutch + North_Italian @ 5.002
10 Cyprian + Dutch + Orcadian + Tuscan @ 5.023
11 Cyprian + North_Italian + Orcadian + Swedish @ 5.045
12 Cyprian + Norwegian + Norwegian + Tuscan @ 5.058
13 Cyprian + North_Italian + Norwegian + Southeast_English @ 5.094
14 Cyprian + Dutch + Norwegian + Tuscan @ 5.097
15 Cyprian + French + French + Norwegian @ 5.100
16 Cyprian + Danish + North_Italian + Norwegian @ 5.128
17 Cyprian + Norwegian + Southwest_English + Tuscan @ 5.129
18 Cyprian + North_Italian + North_Swedish + Orcadian @ 5.198
19 Cyprian + Dutch + North_Italian + Swedish @ 5.213
20 Cyprian + North_Italian + Orcadian + Southwest_English @ 5.214

1780690 iterations.

Done.

Elapsed time 2.3654 seconds.

EDP said...

Unlike the original EuTest, there's no Middle East category in this one. Why is that? In the EuTest, my ME score was 7.42% and my East Med was 10.69%. My EM is the same now, but I only score 4.03% Red Sea. Where did the ME go?

EDP said...

Sorry, I rectify, my EuTest ME score was 8.75%. The 7.42% came from my JTest.

jackson_montgomery_devoni said...

Davidski,

When do you think the main West Eurasian components such as the North_Sea, Atlantic, Baltic, East_European, West-Mediterranean, East Mediterranean, West_Asian and Red_Sea formed? Would it have been during the Neolithic?

Rob Witzel said...

Davidski, just curious what my results look like to you. For me this is the most accurate calculator so far.

Admix Results (sorted):

# Population Percent
1 North_Sea 32.18
2 Atlantic 30.08
3 Eastern_Euro 9.83
4 Baltic 9.02
5 West_Med 7.67
6 West_Asian 7.34
7 East_Med 2.81
8 Northeast_African 1.08


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

Least-squares method.

Using 1 population approximation:
1 Southeast_English @ 5.751
2 German @ 6.539
3 Southwest_English @ 6.587
4 Danish @ 6.802
5 Irish @ 6.821
6 West_Scottish @ 7.286
7 Dutch @ 8.379
8 Orcadian @ 10.257
9 French @ 11.766
10 Norwegian @ 12.485
165 iterations.



Using 2 populations approximation:
1 50% German +50% Southeast_English @ 5.159
2 50% German +50% Irish @ 5.431
3 50% German +50% West_Scottish @ 5.459
4 50% Danish +50% German @ 5.580
5 50% German +50% Southwest_English @ 5.672
6 50% Southeast_English +50% Southeast_English @ 5.751
7 50% Southeast_English +50% Southwest_English @ 6.030
8 50% Danish +50% Southeast_English @ 6.094
9 50% Irish +50% Southeast_English @ 6.148
10 50% Danish +50% Southwest_English @ 6.156
13695 iterations.



Using 3 populations approximation:
1 50% Southeast_English +25% Austrian +25% West_Scottish @ 5.145
2 50% German +25% Southeast_English +25% Southeast_English @ 5.159
3 50% Southeast_English +25% German +25% German @ 5.159
4 50% West_Scottish +25% Austrian +25% Southeast_English @ 5.186
5 50% Southeast_English +25% German +25% Southeast_English @ 5.198
6 50% Southeast_English +25% Austrian +25% Southeast_English @ 5.230
7 50% West_Scottish +25% French +25% German @ 5.231
8 50% Southeast_English +25% Austrian +25% Irish @ 5.233
9 50% West_Scottish +25% Austrian +25% Southwest_English @ 5.234
10 50% German +25% Irish +25% Southeast_English @ 5.249
380813 iterations.



Using 4 populations approximation:
1 Austrian + Southeast_English + Southeast_English + West_Scottish @ 5.145
2 German + German + Southeast_English + Southeast_English @ 5.159
3 Austrian + Southeast_English + West_Scottish + West_Scottish @ 5.186
4 German + Southeast_English + Southeast_English + Southeast_English @ 5.198
5 Austrian + Southeast_English + Southeast_English + Southeast_English @ 5.230
6 French + German + West_Scottish + West_Scottish @ 5.231
7 Austrian + Irish + Southeast_English + Southeast_English @ 5.233
8 Austrian + Southwest_English + West_Scottish + West_Scottish @ 5.234
9 Austrian + Irish + Southeast_English + West_Scottish @ 5.245
10 German + German + Irish + Southeast_English @ 5.249
11 German + German + Southeast_English + West_Scottish @ 5.250
12 French + German + Irish + West_Scottish @ 5.251
13 Austrian + Southeast_English + Southwest_English + West_Scottish @ 5.258
14 Serbian + West_Scottish + West_Scottish + West_Scottish @ 5.271
15 Danish + French + German + West_Scottish @ 5.279
16 Danish + French + German + Irish @ 5.294
17 French + German + Irish + Irish @ 5.300
18 Irish + Serbian + West_Scottish + West_Scottish @ 5.301
19 Austrian + Irish + Southwest_English + West_Scottish @ 5.302
20 Danish + German + German + Southeast_English @ 5.315

1151443 iterations.

Done.

Liz Davenport said...

@ RC Caudhill - I, too, have found African ancestry through the admixture tools. My EUtest V2 result is 1.46% (it goes as high as 3.17% on other admix. tools). I also have a family with Southern colonial lines. Like you, I am researching...and searching. I hope that you will consider sharing what you learn, and best of luck!
:-)

Liz Davenport said...

Sorry -- I tried to post this comment to RC Caudhill below his last comment, but for some reason was not able to. :-(

Eduardo Pinto said...

It works pretty well for me... I'm a northwestern Portuguese and the region where I'm from borders Galicia.


Least-squares method.

Using 1 population approximation:
1 Portuguese @ 3.620
2 Spanish_Galicia @ 4.270
3 Spanish_Extremadura @ 5.690
4 Spanish_Murcia @ 6.398
5 Spanish_Castilla_Y_Leon @ 6.548
6 Spanish_Cataluna @ 6.800
7 North_Italian @ 9.190
8 Spanish_Cantabria @ 9.849
9 Spanish_Andalucia @ 9.979
10 Spanish_Valencia @ 9.995


Using 3 populations approximation:
1 50% Portuguese +25% Portuguese +25% Spanish_Galicia @ 3.548
2 50% Spanish_Galicia +25% North_Italian +25% Portuguese @ 3.580
3 50% Portuguese +25% Portuguese +25% Portuguese @ 3.620
4 50% Portuguese +25% North_Italian +25% Spanish_Galicia @ 3.628
5 50% Portuguese +25% Spanish_Galicia +25% Spanish_Galicia @ 3.643

R lewis said...

this is my orace x option 1
could this be more accurate? it looks Somewhat more like results I have from other calculators
Pct. Calc. Option 1

1 Yoruban 74.18%
2 Southwest_English 10.84%
3 Spanish_Galicia 7.50%
4 Ethiopian_Ari_cultivator 2.12%
5 Mayan 1.98%
6 North_Ossetian 1.86%
7 NAN_Melanesian 0.94%
8 Dai 0.56%
9 French 0.01%
10 Portuguese 0.01%

Davidski said...

I hardly ever find the Oracle X to be literally accurate. But like all the other oracles, it'll describe your ancestry quite well if you account for that fact that it can be very creative when doing so.

Davidski said...

I'm guessing you're mostly British, but with some recent German ancestry.

Davidski said...

No idea, I'd just be guessing.

Davidski said...

Red Sea takes the place of the Middle Eastern component here. But it's more southern in character, so the other components have to compensate.

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