Ludwig's Eurogenes K36 ancestry analysis

[Tomenable]

Ludwig,

Here are some models that I get for your ancestry based on your K36 results:

K36 Wanke's method:

Single population sharing:

1. East German / distance 13.82
2. North German / distance 22.64
3. Orcadian / distance 77.73
4. Czech-Moravian / distance 82.72
5. West German / distance 87.90
6. Austrian / distance 89.00
7. English / distance 92.61
8. Irish / distance 96.22

Regional population approximation:

East-Central Europe - 44.75%
Northern Europe - 27.75%
British Isles - 17.00%
Western Europe - 10.50%

K36 nMonte method:

Single population sharing:

1. East German / distance 8.216962
2. Czech-Moravian / distance 9.463120
3. Austrian / distance 9.723642
4. Hungarian / distance 10.330154
5. Slovenian / distance 11.040726
6. North German / distance 11.258463
7. Slovak / distance 11.590544
8. South German / 12.233179

Multiple population approximation / 1st model:

Western European: 59.35%, including:

English - 40.70%
Orcadian - 16.05%
Irish - 1.35%
Spain Baleares - 1.25%

East-Central European: 40.65%, including:

Poland Kashubian - 21.90%
Southern Polish - 10.15%
Poland Mazovian - 2.00%
Finnish East - 2.75%
North Dagestan - 3.85%

Multiple population approximation / 2nd model:

Western European: 59.55%, including:

British mixed - 51.40%
Northern Irish - 1.50%
Scottish - 0.45%
Austrian - 3.50%
Austria Tyrol - 0.65%
Belgian - 0.55%
Swiss German - 0.05%
Swiss Italian - 1.40%
Spain Baleares - 0.05%

East-Central European: 40.45%, including:

Poland Kashubian - 30.95%
Poland Mazovian - 1.45%
Southern Polish - 1.20%
Finnish East - 2.75%
North Dagestan - 4.10%

K36 Gaussian method:

Using 1 population approximation:
1 Dutch_Frisian @ 3,706779
2 Orcadian @ 3,767291
3 Ireland @ 3,860135
4 German_North @ 3,968453
5 Norway @ 4,036109
6 British_mixed @ 4,049527
7 German_East @ 4,083847
8 England @ 4,093841
9 Holland @ 4,126029
10 Denmark @ 4,164254
11 South_Holland @ 4,175686
12 Sweden_north @ 4,176726
13 Scotland @ 4,268249
14 Northern_Ireland @ 4,342933
15 Czechs_Moravians @ 4,447686
16 PL_Upper_Silesia @ 4,525054
17 PL_South_Poland @ 4,605148
18 German_West @ 4,672713
19 PL_Wielkopolska @ 4,7013
20 France_NorthEast @ 4,733227
322 iterations.

Using 2 populations approximation:
1 FR_Bretagne+Pl_Kashubians @ 3,076129
2 FR_Bretagne+Lithuanian @ 3,145778
3 FR_Bretagne+PL_Wielkopolska @ 3,149339
4 FR_Bretagne+PL_Mazovia @ 3,243118
5 FR_Bretagne+Russian_Bryansk @ 3,26092
6 Ireland+Pl_Kashubians @ 3,266934
7 FR_Bretagne+Pl_north @ 3,26766
8 FR_Bretagne+Sweden_north @ 3,271354
9 FR_Bretagne+Russian_Novgorod_Yaroslavl @ 3,285713
10 FR_Bretagne+Russian_Kursk @ 3,290146
11 Northern_Ireland+Pl_Kashubians @ 3,296611
12 FR_Bretagne+Latvian @ 3,304604
13 Ireland+PL_Wielkopolska @ 3,326855
14 South_Holland+Pl_Kashubians @ 3,332524
15 Northern_Ireland+PL_Wielkopolska @ 3,338328
16 FR_Bretagne+Russian_Oryol @ 3,345845
17 FR_Bretagne+PL_Sudovia @ 3,354599
18 South_Holland+Pl_north @ 3,366704
19 FR_Bretagne+PL_Podlasie_East_Mazovia @ 3,374161
20 South_Holland+PL_Wielkopolska @ 3,389623
52003 iterations.

K36 Least squares method:

Using 1 population approximation:
1 German_North @ 8,768204
2 German_East @ 9,187635
3 Norway @ 10,864475
4 Denmark @ 10,884702
5 Sweden @ 11,204502
6 Orcadian @ 11,275965
7 England @ 11,756302
8 Czechs_Moravians @ 11,884736
9 Austria @ 11,92933
10 German_West @ 11,99236
11 Holland @ 12,058692
12 British_mixed @ 12,115303
13 South_Germany @ 12,391415
14 Ireland @ 12,405753
15 South_Holland @ 12,687123
16 Scotland @ 12,817457
17 Hungary @ 12,965344
18 Dutch_Frisian @ 13,467444
19 Slovak @ 13,566437
20 Slovenian @ 14,264906
322 iterations.

Using 2 populations approximation:
1 Czechs_Moravians+Orcadian @ 5,753821
2 Slovak+England @ 5,904052
3 German_East+Orcadian @ 6,003282
4 German_East+England @ 6,11759
5 Czechs_Moravians+England @ 6,132809
6 Slovak+Ireland @ 6,14036
7 Slovak+Orcadian @ 6,149946
8 England+Pl_Kashubians @ 6,150423
9 Czechs_Moravians+Ireland @ 6,155713
10 Slovak+British_mixed @ 6,157211
11 England+PL_South_Poland @ 6,194998
12 Czechs_Moravians+Norway @ 6,239858
13 Slovak+Scotland @ 6,254414
14 German_East+Ireland @ 6,267264
15 Czechs_Moravians+British_mixed @ 6,30229
16 England+PL_Upper_Silesia @ 6,30425
17 Czechs_Moravians+Denmark @ 6,362255
18 British_mixed+Pl_Kashubians @ 6,390235
19 England+PL_Wielkopolska @ 6,391841
20 Czechs_Moravians+Scotland @ 6,422011
52003 iterations.

 

[Tomenable]

North Dagestan is showing up because of your 3.89% of "North Caucasian" admix.

I also have this "North Caucasian" in Eurogenes K36, but I have only 2.27% of it.

This is probably something ancient (not recent admixture from Northern Caucasus).

 

[Ludwig]

Quite interesting. This forum has really provided quality help regarding genetics. Mostly on Gedmatch has my genetic autosomal averages: North_Dutch, North_German, East_German, Austrian, Ukrainian_B, South_Polish, Orcadian. On Yfull (my STR matches) are: UK, Sweden, Polish, Russian, Norwegian.

 

[srdceleva]

Quite interesting. This forum has really provided quality help regarding genetics. Mostly on Gedmatch has my genetic autosomal averages: North_Dutch, North_German, East_German, Austrian, Ukrainian_B, South_Polish, Orcadian. On Yfull (my STR matches) are: UK, Sweden, Polish, Russian, Norwegian.

Can you share your eurogenes k13 results with the 4 pop Oracle?

 

[Ludwig]

Eurogenes K13

North_Atlantic 41.53
Baltic 33.18
West_Med 11.28
West_Asian 6.95
East_Med 3.73
Red_Sea -
South_Asian -
East_Asian 0.71
Siberian 0.15
Amerindian 0.27
Oceanian 0.91
Northeast_African 1.28
Sub-Saharan -
Using 4 populations approximation
1 East_German + Irish + Norwegian + Ukrainian_Belgorod @1.966647
2 Irish + Irish +South_Polish + South_Polish @ 1.995571
3 Austrian + Irish +Swedish + Ukrainian_Belgorod @ 2.042126
4 East_German +Norwegian + Orcadian + Ukrainian_Belgorod @ 2.071852
5 Irish + North_Dutch+ South_Polish + South_Polish @ 2.080302
6 East_German +North_Dutch + Norwegian + Ukrainian_Belgorod @ 2.094112
7 Austrian + Swedish+ Ukrainian_Belgorod + West_Scottish @ 2.097229
8 East_German +Norwegian + Ukrainian_Belgorod + West_Scottish @ 2.100047
9 Irish +South_Polish + South_Polish + West_Scottish @ 2.102569
10 East_German +Irish + North_Dutch + Ukrainian_Belgorod @ 2.106012
11 East_German +North_Dutch + North_Dutch + Ukrainian_Belgorod @ 2.109220
12 Swedish + Swedish+ Ukrainian_Belgorod + West_German @ 2.115283
13 Austrian +Norwegian + South_Polish + Swedish @ 2.118886
14 Austrian + Irish +Norwegian + Ukrainian_Belgorod @ 2.123152
15 East_German +Swedish + Ukrainian_Belgorod + West_Scottish @ 2.129503
16 East_German +Irish + Swedish + Ukrainian_Belgorod @ 2.129791
17 Austrian +Norwegian + Norwegian + Ukrainian_Belgorod @ 2.134718
18 North_Dutch +South_Polish + South_Polish + West_Scottish @ 2.135303
19 Austrian +North_Dutch + Polish + Swedish @ 2.136473
20 Austrian +Norwegian + Swedish + Ukrainian @ 2.139637

 

[Ludwig]

Once moderation is finished you will see the Eurogenes k13 results with my Oracle 4 results.

 

[Ludwig]

Can you share your eurogenes k13 results with the 4 pop Oracle?

Eurogenes K13 Admixture Population
North Atlantic 41.53
Baltic 33.18
West Med 11.28
West Asia 6.95
East Med 3.73
East Asian 0.71
Siberian 0.15
Amerindian 0.27
Oceania 0.91
North East African 1.28

 

[Ludwig]

Once moderation is finished you will see the Eurogenes k13 results with my Oracle 4 results.

Using 4 populations


1 East_German + Irish + Norwegian + Ukrainian_Belgorod @1.966647
2 Irish + Irish + South_Polish + South_Polish @ 1.995571
3 Austrian + Irish + Swedish + Ukrainian_Belgorod @ 2.042126
4 East_German + Norwegian + Orcadian + Ukrainian_Belgorod @ 2.071852
5 Irish + North_Dutch + South_Polish + South_Polish @ 2.080302
6 East_German + North_Dutch + Norwegian + Ukrainian_Belgorod @ 2.094112
7 Austrian + Swedish + Ukrainian_Belgorod + West_Scottish @ 2.097229
8 East_German + Norwegian + Ukrainian_Belgorod + West_Scottish @ 2.100047
9 Irish + South_Polish + South_Polish + West_Scottish @ 2.102569
10 East_German + Irish + North_Dutch + Ukrainian_Belgorod @ 2.106012
11 East_German + North_Dutch + North_Dutch + Ukrainian_Belgorod @ 2.109220
12 Swedish + Swedish + Ukrainian_Belgorod + West_German @ 2.115283
13 Austrian + Norwegian + South_Polish + Swedish @ 2.118886
14 Austrian + Irish + Norwegian + Ukrainian_Belgorod @ 2.123152
15 East_German + Swedish + Ukrainian_Belgorod + West_Scottish @ 2.129503
16 East_German + Irish + Swedish + Ukrainian_Belgorod @ 2.129791
17 Austrian + Norwegian + Norwegian + Ukrainian_Belgorod @ 2.134718
18 North_Dutch + South_Polish + South_Polish + West_Scottish @ 2.135303
19 Austrian + North_Dutch + Polish + Swedish @ 2.136473
20 Austrian + Norwegian + Swedish + Ukrainian @ 2.139637

 

[Ludwig]

Does anyone know if my Eurogenes K13 Admixture Population estimates appear more "Slavic or Germanic - a mixture of both?"

 

[Lukas]

Does anyone know if my Eurogenes K13 Admixture Population estimates appear more "Slavic or Germanic - a mixture of both?"

You are nearly Srcdevela (karol.klacansky) brother on PCA He apperas here more Germanic than in reality and probably it's your case also.
This is plot with users from The Apricity.

 

[Ludwig]

Since I am still learning genetics this way, what does (Srcdevela - karol.klacansky), mean? I don't understand the reference here.

You are nearly Srcdevela (karol.klacansky) brother on PCA He apperas here more Germanic than in reality and probably it's your case also.
This is plot with users from The Apricity.

 

[I1a3_Young]

Srcdevela - karol.klacansky is a poster on this site.

I don't know what PCA stands for.

 

[srdceleva]

You are nearly Srcdevela (karol.klacansky) brother on PCA He apperas here more Germanic than in reality and probably it's your case also.
This is plot with users from The Apricity.

again this is an illusion from 2D PCA plots which don't represent genetic affiliation accurate always. If you compare me and Ludwigs results from K13 they are quite a bit different, this is a good example of why people shouldn't always trust PCA plots, even in serious studies, just because they are pretty and appealing to look at. here are my results from k13 and populations I cluster with.

#	Population	Percent
1	Baltic	38.31
2	North_Atlantic	36.08
3	West_Med	11.79
4	East_Med	8.05
5	West_Asian	1.45
6	Amerindian	1.19

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

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

Least-squares method.

Using 1 population approximation:
1 East_German @ 8.596087
2 South_Polish @ 8.699465
3 Hungarian @ 10.036150
4 Austrian @ 10.831338
5 Polish @ 11.011834
6 Southwest_Finnish @ 11.235279
7 Ukrainian @ 11.254989
8 Ukrainian_Lviv @ 11.533505
9 Croatian @ 11.708292
10 North_Swedish @ 12.414757
11 Belorussian @ 14.338272
12 Estonian_Polish @ 14.669163
13 Russian_Smolensk @ 14.709253
14 Southwest_Russian @ 15.238096
15 Finnish @ 15.606089
16 Moldavian @ 15.725510
17 Estonian @ 15.991500
18 Ukrainian_Belgorod @ 16.253641
19 Swedish @ 16.545988
20 North_German @ 17.119804

Using 2 populations approximation:
1 50% Belorussian +50% West_German @ 5.046282


Using 3 populations approximation:
1 50% Belorussian +25% Southwest_Finnish +25% Spanish_Valencia @ 3.581734


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 Belorussian + Belorussian + Southwest_Finnish + Spanish_Valencia @ 3.581734
2 Belorussian + Lithuanian + North_Swedish + Spanish_Valencia @ 3.612438
3 Belorussian + Belorussian + North_Swedish + Spanish_Valencia @ 3.674691
4 Belorussian + Belorussian + Southwest_Finnish + Spanish_Cataluna @ 3.798674
5 Belorussian + Belorussian + North_Swedish + Spanish_Cataluna @ 3.803840
6 Belorussian + Belorussian + Southwest_Finnish + Spanish_Murcia @ 3.824120
7 Estonian_Polish + Lithuanian + North_Swedish + Spanish_Valencia @ 3.832744
8 Belorussian + Lithuanian + North_Swedish + Spanish_Murcia @ 3.854364
9 Belorussian + Estonian_Polish + North_Swedish + Spanish_Valencia @ 3.876330
10 Belorussian + Estonian_Polish + Southwest_Finnish + Spanish_Valencia @ 3.889540
11 Belorussian + Belorussian + North_Swedish + Portuguese @ 3.909307
12 Belorussian + Belorussian + Southwest_Finnish + Spanish_Castilla_Y_Leon @ 3.909328

 

[srdceleva]

Does anyone know if my Eurogenes K13 Admixture Population estimates appear more "Slavic or Germanic - a mixture of both?"

your results look perfect for someone of your background, you look half polish and half north western European. here are my mothers results. She is half Slovak and half white American. You are a bit more eastern than her because poles are genetically more eastern than Slovaks on average, but still you guys have similar results.

#	Population	Percent
1	North_Atlantic	42.11
2	Baltic	31.94
3	West_Med	11.05
4	East_Med	5.64
5	West_Asian	4.29
6	Red_Sea	2.09
7	East_Asian	1.23

your results

North Atlantic 41.53
Baltic 33.18
West Med 11.28
West Asia 6.95
East Med 3.73
East Asian 0.71
Siberian 0.15
Amerindian 0.27
Oceania 0.91
North East African 1.28

 

[Lukas]

Srcdevela - karol.klacansky is a poster on this site.

I don't know what PCA stands for.

It's K13 Eurogenes