G25 model yourself as an ~50-50 mix at <3% distance

[Nurzat]

keep the distance under 3% to keep it real

tool is here (https://vahaduo.github.io/vahaduo/)

source data is here (scaled) (http://eurogenes.blogspot.com/2019/07/getting-most-out-of-global25_12.html)


Target: Nurzat
Distance: 2.2353% / 0.02235256
50.4 German_East
49.6 Moldavian

Target: Nurzat
Distance: 2.0845% / 0.02084455
50.8 Austrian
49.2 Romanian

Target: Nurzat
Distance: 1.7675% / 0.01767527
50.6 Hungarian
49.4 Serbian

Target: Nurzat
Distance: 2.7187% / 0.02718738
51.6 German
48.4 Gagauz

Target: Nurzat
Distance: 1.8705% / 0.01870538
52.2 Bulgarian
47.8 Czech

Target: Nurzat
Distance: 2.1774% / 0.02177389
50.0 Italian_Veneto
50.0 Russian_Voronez

Target: Nurzat
Distance: 2.8974% / 0.02897424
50.0 Russian_Orel
50.0 Swiss_French

Target: Nurzat
Distance: 2.5094% / 0.02509378
50.8 Ukrainian
49.2 French_Provence

Target: Nurzat
Distance: 3.0149% / 0.03014923 (ok, but it's just 3.0 xD)
51.4 Swedish
48.6 Albanian

[Luke35]

Target: Mr.G_scaled
Distance: 1.8302% / 0.01830199
62.0 Hungarian
38.0 Dutch

Target: Mr.G_scaled
Distance: 1.2430% / 0.01242975
54.0 Dutch
46.0 Montenegrin


Can't quite get a clean 50/50. But with using my 3 ancestral populations, I can get a nice representation of my real ancestry:

Target: Mr.G_scaled
Distance: 1.7922% / 0.01792215 | ADC: 0.25x
48.2 Hungarian
43.0 German
8.8 English_Cornwall

Target: Mr.G_scaled
Distance: 1.7883% / 0.01788270 | ADC: 0.25x
49.4 Hungarian
39.4 German
11.2 English

[nittionia]

I can't get much closer of a distance with just two pops
https://i.imgur.com/dWL2S3g.png

[Rocinante]

Distance: 2.9563% / 0.02956306
70.4 Spanish_Galicia
29.6 Sicilian_West

Distance: 2.9254% / 0.02925361
76.2 Portuguese
23.8 Sicilian_West

Distance: 2.9282% / 0.02928201
74.8 Portuguese
25.2 Greek_Thessaly

[Luke35]

My isolated Hungarian side. Reasonable split, and distance.

Target: MrG-dad_scaled
Distance: 2.7041% / 0.02704091
57.0 Austrian
43.0 Romanian

Target: MrG-dad_scaled
Distance: 2.7386% / 0.02738582
59.0 Romanian
41.0 German

[Nurzat]

I can't get much closer of a distance with just two pops

indeed for the people on the Atlantic facade it will be harder to achieve, since you guys are at the edge. this works best for people closer to Central Europe, who can model themselves as East Euro + West Euro or as North Euro + South Euro at reasonable distances.

[Nomansman]

Target: Nomansman_scaled
Distance: 2.6371% / 0.02637129
50.4 Balochi
49.6 Tajik_Shugnan




Target: Nomansman_scaled
Distance: 2.6534% / 0.02653427
52.6 Tajik_Yagnobi
47.4 Kamboj




Target: Nomansman_scaled
Distance: 3.0694% / 0.03069444
51.8 Kashmiri_Pandit
48.2 Avar



Target: Nomansman_scaled
Distance: 2.4843% / 0.02484323
54.4 Sindhi
45.6 Tabasaran




Target: Nomansman_scaled
Distance: 2.4920% / 0.02492029
51.8 Brahui
48.2 Tajik_Rushan

[Luke35]

Bingo!

Target: Mr.G_scaled
Distance: 1.4547% / 0.01454658
50.2 English
49.8 Montenegrin

[J. Ketch]

Target: Creoda_scaled
Distance: 1.9937% / 0.01993685
53.2 Icelandic
46.8 Welsh

Target: Creoda_scaled
Distance: 2.3628% / 0.02362756
52.8 French_Brittany
47.2 Norwegian

[nittionia]

I got a pretty good split for my dad; I based it off of his eurogenes 2-way
https://i.imgur.com/nnE8yO0.png

[JohnnyP]

Target: JohnnyP_scaled
Distance: 1.4436% / 0.01443567
62.0 Greek_Peloponnese
38.0 Lithuanian_VA

Target: JohnnyP_scaled
Distance: 1.5993% / 0.01599274
64.4 Greek_Peloponnese
35.6 Latvian

Target: JohnnyP_scaled
Distance: 1.5908% / 0.01590790
68.8 Albanian
31.2 Lithuanian_VA

Target: JohnnyP_scaled
Distance: 1.6810% / 0.01681044
63.2 Albanian
36.8 Ukrainian

Target: JohnnyP_scaled
Distance: 1.8532% / 0.01853231
66.8 Albanian
33.2 Belarusian

Greek_Peloponnese and Lithuanian is best fit for me :D

With bigger distances

Target: JohnnyP_scaled
Distance: 2.3124% / 0.02312370
74.0 Greek_Central_Macedonia
26.0 Finnish

Target: JohnnyP_scaled
Distance: 2.8929% / 0.02892943
70.0 Greek_Thessaly
30.0 Finnish

Target: JohnnyP_scaled
Distance: 2.4100% / 0.02409995
72.8 Albanian
27.2 Finnish

Target: JohnnyP_scaled
Distance: 2.7757% / 0.02775654
67.0 Albanian
33.0 Swedish

Target: JohnnyP_scaled
Distance: 2.9052% / 0.02905199
56.0 Greek_Peloponnese
44.0 Swedish

[Coastal Elite]

Target: DacoCeltic_scaled
Distance: 1.6870% / 0.01686982
51.0 Bulgarian
49.0 Irish

Target: DacoCeltic_scaled
Distance: 1.7775% / 0.01777491
52.2 English
47.8 Bulgarian

Target: DacoCeltic_scaled
Distance: 1.7677% / 0.01767670
51.8 English_Cornwall
48.2 Bulgarian

[Kaspias]

It is not possible in my case. This is the closest:


Target: Kaspias_scaled
Distance: 2.4141% / 0.02414055
58.4 Turkish_Southwest
41.6 Romanian

[Grace O'Malley]

These are the best I can do. If I use Irish I get too high an amount. I can only get a near 50/50 with other Northwestern European populations.

"sample": "Custom:AGUser_Grace",
"fit": 1.4616,
"English": 59.17,
"Norwegian": 40.83,

"sample": "Custom:AGUser_Grace",
"fit": 1.6018,
"French_Brittany": 55,
"Norwegian": 45,

sample": "Custom:AGUser_Grace",
"fit": 1.3546,
"Icelandic": 56.67,
"Welsh": 43.33,

"sample": "Custom:AGUser_Grace",
"fit": 1.3665,
"Orcadian": 54.17,
"Icelandic": 45.83,

This one is the closest to 50/50.

sample": "Custom:AGUser_Grace",
"fit": 1.3056,
"Icelandic": 50.83,
"English_Cornwall": 49.17,

[Nurzat]

...

either you guys are heavily Viking-influenced or Vikings had some common background with you from a Celto-Germanic past, dunno.

such a 50-50 mix modelling is a good exercise, some observe they're dragged away from their region's average. I am dragged towards the West for example, quite funny to see a good 50-50 mix & distance of Romanian/Moldovan with Austrian/German

[Luke35]

Target: DacoCeltic_scaled
Distance: 1.6870% / 0.01686982
51.0 Bulgarian
49.0 Irish

I tried, I knew it would be reasonably close but, you beat me.

Target: Mr.G_scaled
Distance: 1.6772% / 0.01677196
56.8 Irish
43.2 Bulgarian

[Rgvgjhvv]

This is really hard I have no clue how to even begin :lol:

[Rgvgjhvv]

Target: Markos_scaled
Distance: 17.3975% / 0.17397519
50.6 Lebanese_Druze
49.4 Spanish_Andalucia

PERFECT FIT.......

[Coastal Elite]

Mom

Target: Daco_mom_scaled
Distance: 1.9940% / 0.01993987
55.0 Orcadian
45.0 Welsh

Target: Daco_mom_scaled
Distance: 1.6502% / 0.01650155
60.6 Norwegian
39.4 Scottish

Target: Daco_mom_scaled
Distance: 1.6493% / 0.01649288
62.2 Norwegian
37.8 Irish

Target: Daco_mom_scaled
Distance: 1.6047% / 0.01604741
63.0 Norwegian
37.0 Welsh

[Nurzat]

Target: Markos_scaled
Distance: 17.3975% / 0.17397519
50.6 Lebanese_Druze
49.4 Spanish_Andalucia

PERFECT FIT.......

I've found some fits for the Greek average:

Target: Greek
Distance: 1.4244% / 0.01424376
50.2 Bulgarian
49.8 Italian_Lazio

Target: Greek
Distance: 2.8078% / 0.02807829
50.8 French_Corsica
49.2 Romanian

Target: Greek
Distance: 1.8320% / 0.01832022
51.0 Serbian
49.0 Maltese

[Rgvgjhvv]

I've found some fits for the Greek average:

Target: Greek
Distance: 1.4244% / 0.01424376
50.2 Bulgarian
49.8 Italian_Lazio

Target: Greek
Distance: 2.8078% / 0.02807829
50.8 French_Corsica
49.2 Romanian

Target: Greek
Distance: 1.8320% / 0.01832022
51.0 Serbian
49.0 Maltese

I think I was trying un-scaled population list by accident. My results compared to average:

Target: Markos_scaled
Distance: 3.2501% / 0.03250145
68.6 Italian_Lazio
31.4 Bulgarian

Target: Markos_scaled
Distance: 4.6748% / 0.04674842
66.8 French_Corsica
33.2 Romanian

Target: Markos_scaled
Distance: 3.1800% / 0.03180047
64.8 Maltese
35.2 Serbian

I will mess around with others as these are too far for me

[Thambi]

Target: Thambi_scaled
Distance: 2.8164% / 0.02816385
50.0 Brahmin_Gujarat
50.0 Mala

[Nurzat]

I think I was trying un-scaled population list by accident. My results compared to average:

Target: Markos_scaled
Distance: 3.2501% / 0.03250145
68.6 Italian_Lazio
31.4 Bulgarian

Target: Markos_scaled
Distance: 4.6748% / 0.04674842
66.8 French_Corsica
33.2 Romanian

Target: Markos_scaled
Distance: 3.1800% / 0.03180047
64.8 Maltese
35.2 Serbian

I will mess around with others as these are too far for me

I suspect the Greek average for Global25 is too northern-shifted - it gets some 30% East Slavic mix... way too much. maybe it's poor sampling. are you mainland Greek? you may be closer to the real average.

other averages that I suspect to be too northern-shifted: Montenegrin, Macedonian, Romanian. and too southern-shifted: Moldavian.

[Grace O'Malley]

I forgot to use Dutch.

"sample": "Custom:AGUser_Grace",
"fit": 1.1216,
"Dutch": 51.67,
"Icelandic": 48.33,

[Rgvgjhvv]

I suspect the Greek average for Global25 is too northern-shifted - it gets some 30% East Slavic mix... way too much. maybe it's poor sampling. are you mainland Greek? you may be closer to the real average.

other averages that I suspect to be too northern-shifted: Montenegrin, Macedonian, Romanian. and too southern-shifted: Moldavian.

Interesting, but no I'm a Greek Islander

[celticdragongod]

Target: CDG_scaled
Distance: 2.2144% / 0.02214370
70.0 Norwegian
30.0 Swedish

Target: CDG_scaled
Distance: 1.6116% / 0.01611644
63.6 Shetlandic
36.4 Orcadian

Target: CDG_scaled
Distance: 1.8023% / 0.01802339
55.0 Irish
45.0 English

Target: CDG_scaled
Distance: 2.1687% / 0.02168654
83.0 Icelandic
17.0 Swedish

Target: CDG_scaled
Distance: 1.8422% / 0.01842214
52.4 French_Brittany
47.6 Swedish

Target: CDG_scaled
Distance: 1.8068% / 0.01806799
83.0 English_Cornwall
17.0 Welsh

Target: CDG_scaled
Distance: 1.8742% / 0.01874198
51.4 Welsh
48.6 English

Target: CDG_scaled
Distance: 1.7860% / 0.01786006
51.8 Welsh
48.2 Dutch

Target: CDG_scaled
Distance: 1.7979% / 0.01797916
51.6 English
48.4 Dutch

Target: CDG_scaled
Distance: 1.4844% / 0.01484437
54.4 Shetlandic
45.6 English_Cornwall

[Nurzat]

Interesting, but no I'm a Greek Islander

Target: Greek_Crete
Distance: 1.8702% / 0.01870228
50.4 Italian_Piedmont
49.6 Lebanese_Christian

Target: Greek_Crete
Distance: 1.8061% / 0.01806068
50.4 French_Corsica
49.6 Armenian

[RyoHazuki]

Distance: 3.2316% / 0.03231585
54.6 French_Paris
45.4 German_East

Distance: 2.9620% / 0.02961966
54.8 Belgian
45.2 Welsh

[JamesBond007]

indeed for the people on the Atlantic facade it will be harder to achieve, since you guys are at the edge. this works best for people closer to Central Europe, who can model themselves as East Euro + West Euro or as North Euro + South Euro at reasonable distances.

Indeed,you are totally right. This is the best I can get before I gave up :p :


Target: Kevin
Distance: 1.9208% / 0.01920827
62.8 Norwegian
37.2 Welsh

[RyoHazuki]

Distance: 3.4456% / 0.03445554
56.6 German_East
43.4 French_Occitanie

Yes the Atlantic Europeans tend to blend too much together. I have to get an eastern shifted centrl European/German sample to illustrate a 50/50 NW/SW Europe split

[Cumansky]

Target: Cumansky
Distance: 2.6568% / 0.02656821
81.8 Romanian
18.2 NOR_N_HG

96339
96340

[J. Ketch]

Target: Creoda_scaled
Distance: 1.9937% / 0.01993685
53.2 Icelandic
46.8 Welsh

Target: Creoda_scaled
Distance: 2.3628% / 0.02362756
52.8 French_Brittany
47.2 Norwegian
Mother (English)

Target: CreodaMum_scaled
Distance: 1.8699% / 0.01869926
53.4 English
46.6 Norwegian

Target: CreodaMum_scaled
Distance: 1.7803% / 0.01780253
53.2 Norwegian
46.8 French_Brittany

Target: CreodaMum_scaled
Distance: 1.9388% / 0.01938757
57.0 Swedish
43.0 Belgian

Target: CreodaMum_scaled
Distance: 1.7724% / 0.01772371
57.0 Norwegian
43.0 German

Father (Irish)

Target: CreodaDad_scaled
Distance: 2.2889% / 0.02288901
52.4 Icelandic
47.6 Scottish

[Nurzat]

Distance: 3.4456% / 0.03445554
56.6 German_East
43.4 French_Occitanie

Yes the Atlantic Europeans tend to blend too much together. I have to get an eastern shifted centrl European/German sample to illustrate a 50/50 NW/SW Europe split

I'm aiming at under 3% distance but in the meantime I've found this at the same distance as your example above:

Target: French_Brittany
Distance: 3.5310% / 0.03530975
50.0 Polish
50.0 Spanish_Pais_Vasco

(Spanish Pais Vasco are ethnic Spaniards in Basque Country)

[Brás Garcia de Mascarenhas]

Target: Viriato_scaled
Distance: 3.8139% / 0.03813866
53.6 Dutch
46.4 Sardinian


Target: Viriato_scaled
Distance: 3.8422% / 0.03842232
53.4 Orcadian
46.6 Sardinian

Target: Viriato_scaled
Distance: 3.9279% / 0.03927919
57.0 German
43.0 Sardinian

Target: Viriato_scaled
Distance: 4.0728% / 0.04072820
50.8 Sardinian
49.2 Icelandic


Lowest distances I could get before running out of patience trying out 50/50 models without using Iberian samples (I guess that's the point).

[RyoHazuki]

Target: Viriato_scaled
Distance: 3.8139% / 0.03813866
53.6 Dutch
46.4 Sardinian


Target: Viriato_scaled
Distance: 3.8422% / 0.03842232
53.4 Orcadian
46.6 Sardinian

Target: Viriato_scaled
Distance: 3.9279% / 0.03927919
57.0 German
43.0 Sardinian

Target: Viriato_scaled
Distance: 4.0728% / 0.04072820
50.8 Sardinian
49.2 Icelandic


Lowest distances I could get before running out of patience trying out 50/50 models.

Sardinian is ANF so it makes sense you get it.

[Grace O'Malley]

Mother (English)

Target: CreodaMum_scaled
Distance: 1.8699% / 0.01869926
53.4 English
46.6 Norwegian

Target: CreodaMum_scaled
Distance: 1.7803% / 0.01780253
53.2 Norwegian
46.8 French_Brittany

Target: CreodaMum_scaled
Distance: 1.9388% / 0.01938757
57.0 Swedish
43.0 Belgian

Target: CreodaMum_scaled
Distance: 1.7724% / 0.01772371
57.0 Norwegian
43.0 German

Father (Irish)

Target: CreodaDad_scaled
Distance: 2.2889% / 0.02288901
52.4 Icelandic
47.6 Scottish

Interesting with your mum how you can model her with Belgian and German. I've tried those populations and they don't work for me.

"sample": "Custom:AGUser_Grace",
"fit": 1.8295,
"Norwegian": 73.33,
"Belgian": 26.67,

"sample": "Custom:AGUser_Grace",
"fit": 1.7271,
"Swedish": 61.67,
"Belgian": 38.33,

"sample": "Custom:AGUser_Grace",
"fit": 1.5312,
"German": 62.5,
"Norwegian": 37.5,

Here's another that's nearly 50/50 which I wouldn't have expected.

"sample": "Custom:AGUser_Grace",
"fit": 1.5433,
"English": 50.83,
"German": 49.17,

[J. Ketch]

Interesting with your mum how you can model her with Belgian and German. I've tried those populations and they don't work for me.

"sample": "Custom:AGUser_Grace",
"fit": 1.8295,
"Norwegian": 73.33,
"Belgian": 26.67,

"sample": "Custom:AGUser_Grace",
"fit": 1.7271,
"Swedish": 61.67,
"Belgian": 38.33,

"sample": "Custom:AGUser_Grace",
"fit": 1.5312,
"German": 62.5,
"Norwegian": 37.5,

Here's another that's nearly 50/50 which I wouldn't have expected.

"sample": "Custom:AGUser_Grace",
"fit": 1.5433,
"English": 50.83,
"German": 49.17,
Poi's webrunner often gives odd and different results IMO.

When I run your coords for English vs German in vahaduo by comparison:

Target: GraceOM
Distance: 2.2062% / 0.02206228
100.0 English

[Pedro Ruben]

Target: Pedro_scaled
Distance: 1.8732% / 0.01873174
97.0 Spanish_Castilla_Y_Leon
3.0 Yoruba

Target: Pedro_scaled
Distance: 2.1430% / 0.02142964
74.2 Spanish_Canarias
25.8 Swiss_German

Target: Pedro_scaled
Distance: 2.7250% / 0.02724966
98.4 Spanish_Castilla_Y_Leon
1.6 Quechua

[Nurzat]

Target: Viriato_scaled
Distance: 3.8139% / 0.03813866
53.6 Dutch
46.4 Sardinian


Target: Viriato_scaled
Distance: 3.8422% / 0.03842232
53.4 Orcadian
46.6 Sardinian

Target: Viriato_scaled
Distance: 3.9279% / 0.03927919
57.0 German
43.0 Sardinian

Target: Viriato_scaled
Distance: 4.0728% / 0.04072820
50.8 Sardinian
49.2 Icelandic


Lowest distances I could get before running out of patience trying out 50/50 models without using Iberian samples (I guess that's the point).

couldn't find better mixes than these either:

Target: Portuguese
Distance: 3.1907% / 0.03190668
51.2 French
48.8 Italian_Tuscany

Target: Portuguese
Distance: 3.6735% / 0.03673503
50.6 Italian_Marche
49.4 Belgian

Target: Portuguese
Distance: 3.8250% / 0.03825041
50.4 German
49.6 Maltese

Target: Portuguese
Distance: 3.7998% / 0.03799847
50.6 English_Cornwall
49.4 Italian_Campania

[Coastal Elite]

Mother (English)

Target: CreodaMum_scaled
Distance: 1.8699% / 0.01869926
53.4 English
46.6 Norwegian

Target: CreodaMum_scaled
Distance: 1.7803% / 0.01780253
53.2 Norwegian
46.8 French_Brittany

Target: CreodaMum_scaled
Distance: 1.9388% / 0.01938757
57.0 Swedish
43.0 Belgian

Target: CreodaMum_scaled
Distance: 1.7724% / 0.01772371
57.0 Norwegian
43.0 German

Father (Irish)

Target: CreodaDad_scaled
Distance: 2.2889% / 0.02288901
52.4 Icelandic
47.6 Scottish

Those are good fits (distance, not 50/50) for my mom as well but her Scandinavian is strangely high.

Target: Daco_mom_scaled
Distance: 1.6717% / 0.01671706
70.2 Norwegian
29.8 English

Target: Daco_mom_scaled
Distance: 1.6796% / 0.01679626
77.4 Norwegian
22.6 French_Brittany

Target: Daco_mom_scaled
Distance: 1.9563% / 0.01956304
72.0 Swedish
28.0 Belgian

Target: Daco_mom_scaled
Distance: 1.6794% / 0.01679432
79.6 Norwegian
20.4 German

[Grace O'Malley]

Poi's webrunner often gives odd and different results IMO.

When I run your coords for English vs German in vahaduo by comparison:

Target: GraceOM
Distance: 2.2062% / 0.02206228
100.0 English

Makes a big difference. The only thing I can think of is the webrunner has a set default.


These are the best I can do. If I use Irish I get too high an amount. I can only get a near 50/50 with other Northwestern European populations.

"sample": "Custom:AGUser_Grace",
"fit": 1.4616,
"English": 59.17,
"Norwegian": 40.83,

"sample": "Custom:AGUser_Grace",
"fit": 1.6018,
"French_Brittany": 55,
"Norwegian": 45,

sample": "Custom:AGUser_Grace",
"fit": 1.3546,
"Icelandic": 56.67,
"Welsh": 43.33,

"sample": "Custom:AGUser_Grace",
"fit": 1.3665,
"Orcadian": 54.17,
"Icelandic": 45.83,

This one is the closest to 50/50.

sample": "Custom:AGUser_Grace",
"fit": 1.3056,
"Icelandic": 50.83,
"English_Cornwall": 49.17,

Results have changed quite a bit using Vahaduo.

Target: Grace_scaled
Distance: 2.0069% / 0.02006861
56.6 English
43.4 Norwegian

Target: Grace_scaled
Distance: 2.1333% / 0.02133268
64.8 Norwegian
35.2 French_Brittany

Target: Grace_scaled
Distance: 1.7678% / 0.01767794
64.6 Icelandic
35.4 Welsh

Target: Grace_scaled
Distance: 1.7794% / 0.01779421
55.2 Icelandic
44.8 Orcadian

Target: Grace_scaled
Distance: 1.8373% / 0.01837336
75.2 Icelandic
24.8 English_Cornwall

[RyoHazuki]

Poi's webrunner often gives odd and different results IMO.

When I run your coords for English vs German in vahaduo by comparison:

Target: GraceOM
Distance: 2.2062% / 0.02206228
100.0 English

Pois webrunner doesn't even work for me. Keeps telling me it's pirated and I'm only allowed to enter one reference population.

[RyoHazuki]

Makes a big difference. The only thing I can think of is the webrunner has a set default.



Results have changed quite a bit using Vahaduo.

Target: Grace_scaled
Distance: 2.0069% / 0.02006861
56.6 English
43.4 Norwegian

Target: Grace_scaled
Distance: 2.1333% / 0.02133268
64.8 Norwegian
35.2 French_Brittany

Target: Grace_scaled
Distance: 1.7678% / 0.01767794
64.6 Icelandic
35.4 Welsh

Target: Grace_scaled
Distance: 1.7794% / 0.01779421
55.2 Icelandic
44.8 Orcadian

Target: Grace_scaled
Distance: 1.8373% / 0.01837336
75.2 Icelandic
24.8 English_Cornwall

Can you model yourself with East Germany?

[Pubiczar]

Target: *****_scaled
Distance: 2.7463% / 0.02746340
53.8 GRC_Mycenaean
46.2 HUN_Avar_Szolad

Target: *****_scaled
Distance: 2.7038% / 0.02703834
53.2 GRC_Mycenaean
46.8 Ukrainian

Target: *****_scaled
Distance: 2.7676% / 0.02767597
53.0 GRC_Mycenaean
47.0 Polish

Target: *****_scaled
Distance: 2.3553% / 0.02355298
51.8 Italian_Abruzzo
48.2 Bosnian

Target: *****_scaled
Distance: 2.2807% / 0.02280725
50.6 Bosnian
49.4 Italian_Apulia

Target: *****_scaled
Distance: 2.1741% / 0.02174114
50.8 Bosnian
49.2 Italian_Basilicata

[Nurzat]

Target: *****_scaled
Distance: 2.7463% / 0.02746340
53.8 GRC_Mycenaean
46.2 HUN_Avar_Szolad

Target: *****_scaled
Distance: 2.7038% / 0.02703834
53.2 GRC_Mycenaean
46.8 Ukrainian

Target: *****_scaled
Distance: 2.7676% / 0.02767597
53.0 GRC_Mycenaean
47.0 Polish

Target: *****_scaled
Distance: 2.3553% / 0.02355298
51.8 Italian_Abruzzo
48.2 Bosnian

Target: *****_scaled
Distance: 2.2807% / 0.02280725
50.6 Bosnian
49.4 Italian_Apulia

Target: *****_scaled
Distance: 2.1741% / 0.02174114
50.8 Bosnian
49.2 Italian_Basilicata


the Macedonian average for G25 is too north-shifted, as I've suspected. probably because of having only few samples and some being more Slavic than the real average.

Target: Macedonian
Distance: 1.5470% / 0.01546982
57.4 Ukrainian
42.6 GRC_Mycenaean

Target: Macedonian
Distance: 1.2668% / 0.01266849
69.2 Bosnian
30.8 Italian_Abruzzo

[Thracian]

It is really difficult reach this goal for me. I will be there when you make 75%-25% mix

[Nurzat]

It is really difficult reach this goal for me. I will be there when you make 75%-25% mix

Target: Turkish_Balkans
Distance: 1.0577% / 0.01057702
50.2 Turkish_Southwest
49.8 Croatian

Target: Turkish_Balkans
Distance: 1.1167% / 0.01116742
50.0 Bosnian
50.0 Turkish_Northwest

Target: Turkish_Balkans
Distance: 2.0367% / 0.02036688
50.8 Romanian
49.2 Turkish_Istanbul

[Grace O'Malley]

Can you model yourself with East Germany?

No not at all. Even if I use Swedish and East Germany I get 100% Swedish.

I have a very narrow range of populations that I can use. Even using German the Swedish predominates.

Target: Grace_scaled
Distance: 2.5698% / 0.02569818
75.6 Swedish
24.4 German

Target: Grace_scaled
Distance: 2.2750% / 0.02274974
82.0 Norwegian
18.0 German

Target: Grace_scaled
Distance: 1.8943% / 0.01894346
90.8 Icelandic
9.2 German

If I use any Irish or Scottish with German I'll get 100% Irish or 100% Scottish. If I use Dutch, Scandinavian, French_Brittany or other British Isles populations they will eat up any other population that I use in these 2 way models. So I have to use Northwestern European populations together to get a reasonable split. If I use Dutch and French_Nord I'll get 100% Dutch.

Using French_Brittany is a bit better.

Target: Grace_scaled
Distance: 2.3952% / 0.02395177
71.0 Dutch
29.0 French_Brittany

If I use Irish with Dutch or French_Brittany I'll get 100% Irish. Even using English gives me 100% Irish.

The only populations that I can use Irish with that don't give me 100% Irish are as follows.

Target: Grace_scaled
Distance: 1.7034% / 0.01703396
52.6 Irish
47.4 Icelandic

Target: Grace_scaled
Distance: 1.8592% / 0.01859240
73.4 Irish
26.6 Orcadian

Target: Grace_scaled
Distance: 1.7431% / 0.01743139
74.4 Irish
25.6 Swedish

Target: Grace_scaled
Distance: 1.8377% / 0.01837676
79.4 Irish
20.6 Norwegian

Target: Grace_scaled
Distance: 1.8732% / 0.01873244
86.2 Irish
13.8 Scottish

If I use Welsh, English_Cornwall or Brittany I get 100% Irish. So possibly a more detailed answer than what you were looking for. :)

Anyway an interesting exercise for me. I wonder what other people get? This might not mean much for some people if they have mixed ethnicity but it is interesting that I can't model myself using Irish with other British populations besides Scottish and Orcadian. I wonder if anyone else has tried this exercise?

[Nurzat]

Target: Grace_scaled
Distance: 2.3952% / 0.02395177
71.0 Dutch
29.0 French_Brittany

it means you have more Germanic ancestry than the average Irish

Target: Irish
Distance: 1.1919% / 0.01191888
58.4 French_Brittany
41.6 Dutch


it's strange for me too to get 50-50 mix with reasonable distance for Romania + Austria and Moldova + East Germany xD

[RyoHazuki]

No not at all. Even if I use Swedish and East Germany I get 100% Swedish.

I have a very narrow range of populations that I can use. Even using German the Swedish predominates.

Target: Grace_scaled
Distance: 2.5698% / 0.02569818
75.6 Swedish
24.4 German

Target: Grace_scaled
Distance: 2.2750% / 0.02274974
82.0 Norwegian
18.0 German

Target: Grace_scaled
Distance: 1.8943% / 0.01894346
90.8 Icelandic
9.2 German

If I use any Irish or Scottish with German I'll get 100% Irish or 100% Scottish. If I use Dutch, Scandinavian, French_Brittany or other British Isles populations they will eat up any other population that I use in these 2 way models. So I have to use Northwestern European populations together to get a reasonable split. If I use Dutch and French_Nord I'll get 100% Dutch.

Using French_Brittany is a bit better.

Target: Grace_scaled
Distance: 2.3952% / 0.02395177
71.0 Dutch
29.0 French_Brittany

If I use Irish with Dutch or French_Brittany I'll get 100% Irish. Even using English gives me 100% Irish.

The only populations that I can use Irish with that don't give me 100% Irish are as follows.

Target: Grace_scaled
Distance: 1.7034% / 0.01703396
52.6 Irish
47.4 Icelandic

Target: Grace_scaled
Distance: 1.8592% / 0.01859240
73.4 Irish
26.6 Orcadian

Target: Grace_scaled
Distance: 1.7431% / 0.01743139
74.4 Irish
25.6 Swedish

Target: Grace_scaled
Distance: 1.8377% / 0.01837676
79.4 Irish
20.6 Norwegian

Target: Grace_scaled
Distance: 1.8732% / 0.01873244
86.2 Irish
13.8 Scottish

If I use Welsh, English_Cornwall or Brittany I get 100% Irish. So possibly a more detailed answer than what you were looking for. :)

Anyway an interesting exercise for me. I wonder what other people get? This might not mean much for some people if they have mixed ethnicity but it is interesting that I can't model myself using Irish with other British populations besides Scottish and Orcadian. I wonder if anyone else has tried this exercise?

In my case, I can't really model myself with both France and Isles samples in a way accurate to my ancestry because there's just dozens more Isles samples than French ones thanks to French laws. Instead, I will gravitate to NE Spain very easily thanks to having a staggering # of samples like the Isles but Southern France gets nothing from me.

[Grace O'Malley]

it means you have more Germanic ancestry than the average Irish

Target: Irish
Distance: 1.1919% / 0.01191888
58.4 French_Brittany
41.6 Dutch


it's strange for me too to get 50-50 mix with reasonable distance for Romania + Austria and Moldova + East Germany xD

I don't think it is Germanic. I think it is just a little more Steppe possibly. All my known ancestry is Irish. Creoda's father is similar to me.

[Nurzat]

to anyone curious to get such a mix: I can suggest populations to mix if I know your ethnic background, so you can pm/rep comm me on this and I'll answer.

[Bunalim]

Too easy xD

https://i.imgur.com/KhNeRwm.png

[JamesBond007]

to anyone curious to get such a mix: I can suggest populations to mix if I know your ethnic background, so you can pm/rep comm me on this and I'll answer.

Impossible I'm uber Atlantic Facade !

This is as close at it seems to get for me :

Target: Kevin
Distance: 1.9208% / 0.01920827
62.8 Norwegian
37.2 Welsh

Target: Kevin
Distance: 2.0307% / 0.02030701
67.0 Dutch
33.0 French_Brittany

No 50% anywhere to be seen !

[JamesBond007]

Wait I got closer ! :

Target: Kevin
Distance: 2.1358% / 0.02135838
59.6 English
40.4 Irish

I can't seem to get any closer than that !

[Coastal Elite]

Wait I got closer ! :

Target: Kevin
Distance: 2.1358% / 0.02135838
59.6 English
40.4 Irish

I can't seem to get any closer than that !

Have you tried Orcadian or Scottish with Welsh?

[JamesBond007]

Have you tried Orcadian or Scottish with Welsh?

With English ? I tried these etc.. I'll try some of those with English though but these are some of the ones I tried already :

Target: Kevin
Distance: 2.2796% / 0.02279594
82.2 English_Cornwall
17.8 Orcadian


Distance: 2.2650% / 0.02265037
70.6 English_Cornwall
29.4 Icelandic

Target: Kevin
Distance: 2.2504% / 0.02250404
73.4 English_Cornwall
26.6 Swedish

Target: Kevin
Distance: 2.2302% / 0.02230151
83.0 Scottish
17.0 Swedish

[Coastal Elite]

With English ? I tried these etc.. I'll try some of those with English though but these are some of the ones I tried already :

Target: Kevin
Distance: 2.2796% / 0.02279594
82.2 English_Cornwall
17.8 Orcadian


Distance: 2.2650% / 0.02265037
70.6 English_Cornwall
29.4 Icelandic

Target: Kevin
Distance: 2.2504% / 0.02250404
73.4 English_Cornwall
26.6 Swedish

Target: Kevin
Distance: 2.2302% / 0.02230151
83.0 Scottish
17.0 Swedish

I was thinking more Orcadian-Welsh or Scottish-Welsh

[JamesBond007]

I was thinking more Orcadian-Welsh or Scottish-Welsh

Sorry, I read you wrong because it is late at night I will try it in a second.

[JamesBond007]

I was thinking more Orcadian-Welsh or Scottish-Welsh

No good Brohamulous the Welsh overpowers the Scottish and Orcadian ! :

Orcadian-Welsh :

Target: Kevin
Distance: 2.0226% / 0.02022574
100.0 Welsh

Scottish-Welsh :

Target: Kevin
Distance: 2.0226% / 0.02022574
100.0 Welsh

[Coastal Elite]

No good Brohamulous the Welsh overpowers the Scottish and Orcadian ! :

Orcadian-Welsh :

Target: Kevin
Distance: 2.0226% / 0.02022574
100.0 Welsh

Scottish-Welsh :

Target: Kevin
Distance: 2.0226% / 0.02022574
100.0 Welsh

How about using England, England_Cornwall etc. vs Scottish or Orcadian? Seems like you should stick with the British Isles combos.

[Grace O'Malley]

Have you tried Orcadian or Scottish with Welsh?

Good suggestion. You can tell I'm more a Gael than a Briton.

Target: Grace_scaled
Distance: 1.9777% / 0.01977696
90.8 Orcadian
9.2 Welsh

Target: Grace_scaled
Distance: 1.9802% / 0.01980150
97.6 Orcadian
2.4 English

With English_Cornwall added.

Target: Grace_scaled
Distance: 1.9803% / 0.01980300
100.0 Orcadian

Scottish and English_Cornwall

Target: Grace_scaled
Distance: 1.9636% / 0.01963632
100.0 Scottish

With English added it is the same as with English_Cornwall and Welsh.

Target: Grace_scaled
Distance: 1.9636% / 0.01963632
100.0 Scottish

G25 is very accurate with picking me as a Gael over a Briton.

Doing the same pops as JamesBond

Target: Grace_scaled
Distance: 1.8373% / 0.01837336
75.2 Icelandic
24.8 English_Cornwall

Target: Grace_scaled
Distance: 2.0837% / 0.02083678
56.0 English_Cornwall
44.0 Swedish

Target: Grace_scaled
Distance: 1.8893% / 0.01889346
77.8 Scottish
22.2 Swedish

[Coastal Elite]

Good suggestion. You can tell I'm more a Gael than a Briton.

Target: Grace_scaled
Distance: 1.9777% / 0.01977696
90.8 Orcadian
9.2 Welsh

Target: Grace_scaled
Distance: 1.9802% / 0.01980150
97.6 Orcadian
2.4 English

With English_Cornwall added.

Target: Grace_scaled
Distance: 1.9803% / 0.01980300
100.0 Orcadian

Scottish and English_Cornwall

Target: Grace_scaled
Distance: 1.9636% / 0.01963632
100.0 Scottish

With English added it is the same as with English_Cornwall and Welsh.

Target: Grace_scaled
Distance: 1.9636% / 0.01963632
100.0 Scottish

G25 is very accurate with picking me as a Gael over a Briton.

Doing the same pops as JamesBond

Target: Grace_scaled
Distance: 1.8373% / 0.01837336
75.2 Icelandic
24.8 English_Cornwall

Target: Grace_scaled
Distance: 2.0837% / 0.02083678
56.0 English_Cornwall
44.0 Swedish

Target: Grace_scaled
Distance: 1.8893% / 0.01889346
77.8 Scottish
22.2 Swedish

This is for most of the same ones. She seems to get high Scandinavian

Target: Daco_mom_scaled
Distance: 1.9940% / 0.01993987
55.0 Orcadian
45.0 Welsh

Target: Daco_mom_scaled
Distance: 2.0525% / 0.02052466
88.8 Orcadian
11.2 English

Target: Daco_mom_scaled
Distance: 1.7862% / 0.01786220
100.0 Norwegian

Target: Daco_mom_scaled
Distance: 2.0555% / 0.02055531
100.0 Orcadian

Target: Daco_mom_scaled
Distance: 2.0265% / 0.02026470
56.8 Icelandic
43.2 English_Cornwall

Target: Daco_mom_scaled
Distance: 1.8198% / 0.01819759
51.6 Swedish
48.4 English_Cornwall

Target: Daco_mom_scaled
Distance: 1.7439% / 0.01743922
63.2 Scottish
36.8 Swedish

[JamesBond007]

How about using England, England_Cornwall etc. vs Scottish or Orcadian? Seems like you should stick with the British Isles combos.

I don't think so I'm too Germanic. I also don't think unscaled, like we are using, is the best. Scaled seems better, Check out how Germanic I am :

Unscaled :

Target: Kevin
Distance: 1.7103% / 0.01710296 | ADC: 0.25x
76.2 Norwegian
20.6 Spanish_Soria
3.0 Tajik_Shugnan
0.2 Greenlander_East

Scaled :

Distance to: Kevin_scaled
0.02865262 Dutch
0.02966312 Norwegian

Target: Kevin_scaled
Distance: 2.6087% / 0.02608687 | ADC: 0.5x
48.2 Norwegian
43.6 Dutch
8.2 Spanish_Soria


https://www.youtube.com/watch?v=iA4SmHS8JV8&list=OLAK5uy_lC3UfbC_o6rkNFR5GtbbMLEyWWsYmW0dU

https://i.pinimg.com/736x/67/11/5a/67115a966df467dfc43823211c1b62a1.jpg

[Grace O'Malley]

I don't think so I'm too Germanic. I also don't think unscaled, like we are using, is the best. Scaled seems better, Check out how Germanic I am :

Unscaled :

Target: Kevin
Distance: 1.7103% / 0.01710296 | ADC: 0.25x
76.2 Norwegian
20.6 Spanish_Soria
3.0 Tajik_Shugnan
0.2 Greenlander_East

Scaled :

Distance to: Kevin_scaled
0.02865262 Dutch
0.02966312 Norwegian

Target: Kevin_scaled
Distance: 2.6087% / 0.02608687 | ADC: 0.5x
48.2 Norwegian
43.6 Dutch
8.2 Spanish_Soria


https://www.youtube.com/watch?v=iA4SmHS8JV8&list=OLAK5uy_lC3UfbC_o6rkNFR5GtbbMLEyWWsYmW0dU

https://i.pinimg.com/736x/67/11/5a/67115a966df467dfc43823211c1b62a1.jpg

I've only used scaled in this thread. Unscaled will give very different results.

[Coastal Elite]

I don't think so I'm too Germanic. I also don't think unscaled, like we are using, is the best. Scaled seems better, Check out how Germanic I am :

Unscaled :

Target: Kevin
Distance: 1.7103% / 0.01710296 | ADC: 0.25x
76.2 Norwegian
20.6 Spanish_Soria
3.0 Tajik_Shugnan
0.2 Greenlander_East

Scaled :

Distance to: Kevin_scaled
0.02865262 Dutch
0.02966312 Norwegian

Target: Kevin_scaled
Distance: 2.6087% / 0.02608687 | ADC: 0.5x
48.2 Norwegian
43.6 Dutch
8.2 Spanish_Soria


https://www.youtube.com/watch?v=iA4SmHS8JV8&list=OLAK5uy_lC3UfbC_o6rkNFR5GtbbMLEyWWsYmW0dU

https://i.pinimg.com/736x/67/11/5a/67115a966df467dfc43823211c1b62a1.jpg

Brahstrom, that Norwegian sample is all flipped out and funky. My mom gets high Norway despite being full Irish.

Target: Daco_mom_scaled
Distance: 1.6502% / 0.01650155
60.6 Norwegian
39.4 Scottish

Target: Daco_mom_scaled
Distance: 1.6493% / 0.01649288
62.2 Norwegian
37.8 Irish

Target: Daco_mom_scaled
Distance: 1.6047% / 0.01604741
63.0 Norwegian
37.0 Welsh

https://i.imgur.com/Gnjd4z9.jpg

[dududud]

to anyone curious to get such a mix: I can suggest populations to mix if I know your ethnic background, so you can pm/rep comm me on this and I'll answer.

3/4 Northern France 1/4 Sardinian.

[J. Ketch]

I don't think so I'm too Germanic. I also don't think unscaled, like we are using, is the best. Scaled seems better, Check out how Germanic I am :

Unscaled :

Target: Kevin
Distance: 1.7103% / 0.01710296 | ADC: 0.25x
76.2 Norwegian
20.6 Spanish_Soria
3.0 Tajik_Shugnan
0.2 Greenlander_East

Scaled :

Distance to: Kevin_scaled
0.02865262 Dutch
0.02966312 Norwegian

Not that close to those populations, natives tend to get under 0.025. How close are your British Isles populations?

My populations under 0.030:

Distance to: Creoda_scaled
0.01721798 Orcadian
0.01847653 Scottish
0.01967844 Irish
0.02087370 English
0.02090097 English_Cornwall
0.02218451 Icelandic
0.02279147 Welsh
0.02385523 Shetlandic
0.02385536 Dutch
0.02685711 French_Brittany
0.02758923 Norwegian

[Coastal Elite]

Anybody have thoughts on the G25 Norwegian average? Something is off IMO

[J. Ketch]

Anybody have thoughts on the G25 Norwegian average? Something is off IMO
There are only 7 modern Norwegian samples that form the average.

Many G25 averages are off because of too few samples, realistically you'd want at least 30-50 from different parts of a country before you can be confident that it's representative.

[Grace O'Malley]

This is my result using full spreadsheet.

Target: Grace_unscaled
Distance: 1.1656% / 0.01165576 | ADC: 1x
74.2 Icelandic
25.8 Irish

Target: Grace_unscaled
Distance: 1.1454% / 0.01145394 | ADC: 0.5x
64.8 Icelandic
31.6 Irish
2.8 Welsh
0.6 North_Ossetian
0.2 Somali_Kenya


Target: Grace_unscaled
Distance: 1.0884% / 0.01088368 | ADC: 0.25x
66.4 Icelandic
27.4 Irish
2.4 North_Ossetian
1.6 Somali
1.6 Spanish_Soria
0.6 Yakut

Target: Grace_scaled
Distance: 1.7034% / 0.01703438 | ADC: 0.5x
53.4 Irish
46.6 Icelandic

Target: Grace_scaled
Distance: 1.6978% / 0.01697766 | ADC: 0.25x
51.2 Irish
47.6 Icelandic
0.8 Swedish
0.4 Adygei

Target: Grace_scaled
Distance: 1.6928% / 0.01692810
50.0 Irish
48.0 Icelandic
1.0 Adygei
1.0 Cossack_Kuban

I think unscaled seems to give more noise. Well it does for me.

Also using the averaged moderns gives me a bit different results than the non averaged.

Target: Grace_unscaled
Distance: 0.9473% / 0.00947313 | ADC: 2x
73.8 Icelandic
21.2 Welsh
5.0 English_Cornwall

Target: Grace_unscaled
Distance: 0.7443% / 0.00744305 | ADC: 1x
51.4 Icelandic
23.4 English_Cornwall
11.2 Welsh
10.4 Dutch
3.6 Irish

Target: Grace_unscaled
Distance: 0.4881% / 0.00488056 | ADC: 0.5x
36.4 Irish
32.8 Icelandic
11.2 Scottish
10.0 Dutch
7.4 Welsh
2.2 Norwegian

Target: Grace_unscaled
Distance: 0.4125% / 0.00412472 | ADC: 0.25x
42.8 Irish
26.8 Icelandic
14.0 Scottish
8.8 Dutch
6.6 Norwegian
0.6 Tubalar
0.4 Somali

Target: Grace_unscaled
Distance: 0.3698% / 0.00369765
44.8 Irish
27.6 Dutch
15.4 Icelandic
8.4 Scottish
1.6 North_Ossetian
1.4 Yakut
0.8 Somali

Scaled gives a lot less exotic ethnicities.

Target: Grace_scaled
Distance: 1.3348% / 0.01334782 | ADC: 2x
50.4 Icelandic
49.6 English_Cornwall

Target: Grace_scaled
Distance: 1.2216% / 0.01221592 | ADC: 1x
43.0 Icelandic
41.0 English_Cornwall
9.6 Irish
4.6 Orcadian
1.8 Welsh

Target: Grace_scaled
Distance: 0.8674% / 0.00867429 | ADC: 0.5x
39.8 Irish
31.0 Icelandic
12.0 Orcadian
10.0 English_Cornwall
3.6 Scottish
3.0 Norwegian
0.6 Dutch

Target: Grace_scaled
Distance: 0.7189% / 0.00718909 | ADC: 0.25x
47.8 Irish
22.2 Icelandic
10.2 Dutch
7.2 Orcadian
6.6 Norwegian
4.4 Swedish
1.2 Scottish
0.4 English

Target: Grace_scaled
Distance: 0.6708% / 0.00670784
46.0 Irish
29.8 Dutch
12.8 Norwegian
9.6 Swedish
1.8 Basque_Spanish

[JamesBond007]

Not that close to those populations, natives tend to get under 0.025. How close are your British Isles populations?

My populations under 0.030:

Distance to: Creoda_scaled
0.01721798 Orcadian
0.01847653 Scottish
0.01967844 Irish
0.02087370 English
0.02090097 English_Cornwall
0.02218451 Icelandic
0.02279147 Welsh
0.02385523 Shetlandic
0.02385536 Dutch
0.02685711 French_Brittany
0.02758923 Norwegian

I have no native country in Europe strictly speaking I am a new world mixed Germanic :

istance to: Kevin_scaled
0.02865262 Dutch
0.02966312 Norwegian
0.03097093 Welsh
0.03128912 Irish
0.03153596 Scottish
0.03173767 English
0.03264251 Orcadian
0.03323573 French_Brittany
0.03424261 English_Cornwall
0.03434002 Shetlandic
0.03554655 Icelandic
0.03738947 German
0.03825792 Swedish
0.03928185 Belgian
0.04385265 French_Nord
0.04392491 French_Paris
0.04724802 French_Alsace
0.04744540 Austrian
0.04923277 Swiss_German

Dodecad K12b 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Admix Results (sorted):

# Population Percent
1 North_European 42.99
2 Atlantic_Med 38.17
3 Gedrosia 12.49
4 Caucasus 3.75


Finished reading population data. 223 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 3.547707
2 Dutch_Dodecad @ 4.149510
3 CEU30_1000Genomes @ 4.321190
4 English_Dodecad @ 4.433508
5 Kent_1000Genomes @ 4.460861

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

Admix Results (sorted):

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


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

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

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 4.227181
2 Southeast_English @ 4.311458
3 North_Dutch @ 4.412205
4 Danish @ 4.772104
5 West_Scottish @ 4.967160
6 Irish @ 5.035374
7 Orcadian @ 5.136900

[Grace O'Malley]

There are only 7 modern Norwegian samples that form the average.

Many G25 averages are off because of too few samples, realistically you'd want at least 30-50 from different parts of a country before you can be confident that it's representative.

The same happened with the Welsh and Brittany samples until more were added. I also used to get Icelandic as my no 1 population until more Irish were added so numbers do make a difference.

These are my closest pops.

Distance to: Grace_scaled
0.01875615 Irish
0.01914452 Icelandic
0.01963632 Scottish
0.01980300 Orcadian
0.02206228 English
0.02219810 Welsh
0.02336456 Norwegian
0.02454052 English_Cornwall
0.02458960 Dutch
0.02493577 Shetlandic
0.02659290 Swedish
0.02758167 French_Brittany
0.03333011 German
0.04070340 Belgian
0.04377645 German_East
0.04383614 French_Nord
0.04754192 Austrian
0.04759052 French_Alsace
0.04761548 French_Paris
0.04816810 Czech
0.05029695 Swiss_German
0.05444134 Hungarian
0.05810468 French_Occitanie
0.06055514 Slovenian
0.06076095 Slovakian

[Coastal Elite]

The same happened with the Welsh and Brittany samples until more were added. I also used to get Icelandic as my no 1 population until more Irish were added so numbers do make a difference.

These are my closest pops.

Distance to: Grace_scaled
0.01875615 Irish
0.01914452 Icelandic
0.01963632 Scottish
0.01980300 Orcadian
0.02206228 English
0.02219810 Welsh
0.02336456 Norwegian
0.02454052 English_Cornwall
0.02458960 Dutch
0.02493577 Shetlandic
0.02659290 Swedish
0.02758167 French_Brittany
0.03333011 German
0.04070340 Belgian
0.04377645 German_East
0.04383614 French_Nord
0.04754192 Austrian
0.04759052 French_Alsace
0.04761548 French_Paris
0.04816810 Czech
0.05029695 Swiss_German
0.05444134 Hungarian
0.05810468 French_Occitanie
0.06055514 Slovenian
0.06076095 Slovakian

Can't sleep on the Shetlandic bastards. The British Isles stepchild. People should try that in their mix.

0.01359073 Shetlandic
0.01786220 Norwegian
0.01956128 Scottish
0.02000599 Irish
0.02055531 Orcadian
0.02085322 Welsh

[Grace O'Malley]

Not that close to those populations, natives tend to get under 0.025. How close are your British Isles populations?

My populations under 0.030:

Distance to: Creoda_scaled
0.01721798 Orcadian
0.01847653 Scottish
0.01967844 Irish
0.02087370 English
0.02090097 English_Cornwall
0.02218451 Icelandic
0.02279147 Welsh
0.02385523 Shetlandic
0.02385536 Dutch
0.02685711 French_Brittany
0.02758923 Norwegian

Does your Mum get the same populations under 0.030? You get the exact same populations as me but in a slightly different order. I'm just interested because your Mum is full English.

[Grace O'Malley]

Can't sleep on the Shetlandic bastards. The British Isles stepchild

0.01359073 Shetlandic
0.01786220 Norwegian
0.01956128 Scottish
0.02000599 Irish
0.02055531 Orcadian
0.02085322 Welsh

Is that your Mum's result? She does seem a bit more Scandinavian shifted as you can see she is closer to Norwegian. I think I have a bit of drift going on as I'm not as close to populations as Creoda or your Mum. Notice she is closer to Shetlanders than I am to Irish? Although who really knows the reasons for these things.

[Coastal Elite]

Is that your Mum's result? She does seem a bit more Scandinavian shifted as you can see she is closer to Norwegian. I think I have a bit of drift going on as I'm not as close to populations as Creoda or your Mum. Notice she is closer to Shetlanders than I am to Irish? Although who really knows the reasons for these things.

Yes. Her G25 results are based on 23andMe raw DNA but I found my 23andMe raw dna was a tiny bit more south shifted than AncestryDNA so I can't make sense of it.

[J. Ketch]

Does your Mum get the same populations under 0.030? You get the exact same populations as me but in a slightly different order. I'm just interested because your Mum is full English.
Hers is a bit different, she's closer to all continental populations than me, particularly German. I always get quite Insular results by comparison.

Distance to: CreodaMum_scaled
0.01886201 Welsh
0.02002575 Dutch
0.02105966 Scottish
0.02114182 English
0.02167288 Orcadian
0.02183018 Norwegian
0.02203865 Irish
0.02218829 Shetlandic
0.02288413 French_Brittany
0.02406696 English_Cornwall
0.02451632 German
0.02504237 Icelandic
0.02711766 Swedish

[SUPREEEEEME]

Target: SUPREEEEEME_scaled
Distance: 2.6674% / 0.02667398
53.6 Italian_Bergamo
46.4 Lebanese_Muslim

[Grace O'Malley]

Hers is a bit different, she's closer to all continental populations than me, particularly German. I always get quite Insular results by comparison.

Distance to: CreodaMum_scaled
0.01886201 Welsh
0.02002575 Dutch
0.02105966 Scottish
0.02114182 English
0.02167288 Orcadian
0.02183018 Norwegian
0.02203865 Irish
0.02218829 Shetlandic
0.02288413 French_Brittany
0.02406696 English_Cornwall
0.02451632 German
0.02504237 Icelandic
0.02711766 Swedish

Makes sense. I would expect English to be closer to Germans. English are a more core European population than the Irish for example. They are closer to more populations in general.

[Nurzat]

3/4 Northern France 1/4 Sardinian.

you could try these mixes:

Target: 75% Northern French + 25% Sardinian
Distance: 2.3417% / 0.02341710
50.0 German
50.0 Italian_Lombardy

Target: 75% Northern French + 25% Sardinian
Distance: 1.2441% / 0.01244115
50.2 Spanish_Barcelones
49.8 Swiss_French

Target: 75% Northern French + 25% Sardinian
Distance: 1.4277% / 0.01427672
51.4 Swiss_German
48.6 Spanish_Mallorca

Target: 75% Northern French + 25% Sardinian
Distance: 2.8069% / 0.02806910
50.6 Portuguese
49.4 Basque_Spanish

[Hapanuwa]

to anyone curious to get such a mix: I can suggest populations to mix if I know your ethnic background, so you can pm/rep comm me on this and I'll answer.

100% western Turkish

[Nurzat]

100% western Turkish

very hard to do that at under 3% distance because Turks get the extra Asian Turko-Mongolic admix that makes the distance go up, since when you model something you have to do it with equally distant populations in which one is as Eastern as the other is Western, or one is as Northern as the other is Southern, from the target, to get a reasonable distance, i.e. a real chance that a mix of two people of those populations will get the mix of the target person. with Turks because of the Asian component in them is hard to do it - I've tried some models below, but none is realistic, since the distance is totally off. but maybe there's some mix I don't see and will come back later to this :)

Target: West_Turk_simulated
Distance: 11.5637% / 0.11563717
50.2 Saka_Tian_Shan
49.8 Czech

Target: West_Turk_simulated
Distance: 10.4844% / 0.10484370
53.2 Tatar_Lipka
46.8 Croatian

Target: West_Turk_simulated
Distance: 7.2328% / 0.07232808
50.0 Italian_Molise
50.0 Kaitag

Target: West_Turk_simulated
Distance: 5.2008% / 0.05200771
56.4 Kumyk
43.6 Azeri_Dagestan

Target: West_Turk_simulated
Distance: 5.9892% / 0.05989228
50.2 Turkmen
49.8 Spanish_Eivissa

Target: West_Turk_simulated
Distance: 5.3123% / 0.05312312
56.0 Bulgarian
44.0 Turkmen

Target: West_Turk_simulated
Distance: 6.0877% / 0.06087654
52.4 Serbian
47.6 Turkmen

Target: West_Turk_simulated
Distance: 6.8278% / 0.06827825
50.0 Bosnian
50.0 Turkmen

[mitalit]

Target: Xabier_scaled
Distance: 2.8439% / 0.02843865
52.2 Spanish_Castilla_Y_Leon
47.8 Swiss_French

[Samnium]

Target: Sicilian_West
Distance: 2.2087% / 0.02208685 | ADC: 1x
51.2 Cypriot
48.8 Italian_Northeast

Target: Italian_Campania
Distance: 1.5812% / 0.01581244 | ADC: 1x
52.6 Lebanese_Christian
47.4 Italian_Northeast

[Nassbean]

Target: Nassbean_scaled
Distance: 13.1631% / 0.13163106 | ADC: 1x
51.0 Spanish_Andalucia
49.0 Yemenite_Mahra

Target: Nassbean_scaled
Distance: 14.7509% / 0.14750902 | ADC: 1x
51.6 Lebanese_Muslim
48.4 Sicilian_West

[celticdragongod]

Hers is a bit different, she's closer to all continental populations than me, particularly German. I always get quite Insular results by comparison.

Distance to: CreodaMum_scaled
0.01886201 Welsh
0.02002575 Dutch
0.02105966 Scottish
0.02114182 English
0.02167288 Orcadian
0.02183018 Norwegian
0.02203865 Irish
0.02218829 Shetlandic
0.02288413 French_Brittany
0.02406696 English_Cornwall
0.02451632 German
0.02504237 Icelandic
0.02711766 Swedish

Is your mother's ancestry from western or eastern England? If it is western England that might explain why she is so closely related to the Welsh.

[Ion Basescul]

Real ancestry is close to this (75% Romanian/Moldovan and 25% Moldovan Ukrainian):

Target: Ion_Basescul_23andme+LivingDNA
Distance: 3.0212% / 0.03021239
70.8 Romanian
29.2 Ukrainian

Mom (50% Romanian/Moldovan (South R. Moldova) and 50% Moldovan Ukrainian)

Target: Ion_Basescul_mom_MyHeritage
Distance: 2.0794% / 0.02079404
53.2 Romanian
46.8 Ukrainian


Theoretically it should work better with Moldavian, but the samples right now are too South-shifted as they were collected from Southern R. Moldova. Hence, my mom and I score more Ukrainian than we have.

Target: Ion_Basescul_mom_MyHeritage
Distance: 2.0495% / 0.02049533
53.8 Ukrainian
46.2 Moldavian

Target: Ion_Basescul_23andme+LivingDNA
Distance: 3.1440% / 0.03143973
60.4 Moldavian
39.6 Ukrainian


With that intro out of the way, here are some roughly 50/50 models <=3% that I managed to get, using only averages:

Target: Ion_Basescul_23andme+LivingDNA
Distance: 2.7952% / 0.02795167
50.4 Moldavian
49.6 Slovakian

Target: Ion_Basescul_23andme+LivingDNA
Distance: 2.9013% / 0.02901266
52.6 Russian_Tver
47.4 Italian_Tuscany

Target: Ion_Basescul_23andme+LivingDNA
Distance: 3.0466% / 0.03046587
50.6 Lithuanian_PA
49.4 Greek_Peloponnese

Target: Ion_Basescul_23andme+LivingDNA
Distance: 3.1551% / 0.03155088
53.2 Ukrainian
46.8 Albanian

[Hurricane]

Distance: 3.3186% / 0.03318581
50.0 Czech
50.0 French_Paris

Distance: 3.5733% / 0.03573348
51.0 French_Provence
49.0 Polish

[RyoHazuki]

Using Norway and S. France

Distance: 3.7228% / 0.03722769
58.8 Norwegian
41.2 French_Occitanie

[JamesBond007]

Can't sleep on the Shetlandic bastards. The British Isles stepchild. People should try that in their mix.

0.01359073 Shetlandic
0.01786220 Norwegian
0.01956128 Scottish
0.02000599 Irish
0.02055531 Orcadian
0.02085322 Welsh

Almost, but I can't get it under 0.03... ! :

Target: Kevin_scaled
Distance: 3.1748% / 0.03174806
57.2 French_Brittany
42.8 Shetlandic

[Trouble]

"fit": 2.9685,
"Kalash": 50.83,
"Paniya": 49.17,

[Kyp]

Unscaled:

Target: kyp
Distance: 0.0208% / 0.02080816
52.6 Azeri
47.4 German

Target: Kyp
Distance: 0.0208% / 0.02083451
51.0 Austrian
49.0 Azeri


Scaled:
Target: Kyp_scaled
Distance: 2.9605% / 0.02960469
52.4 Azeri
47.6 German

Target: Kyp_scaled
Distance: 2.2624% / 0.02262410
55.4 Azeri_Turkey
44.6 German_East

[RatCat]

Based on my dodecad k12b results this one is pretty good:

Target: RatCat(Circassian_TrabzonTurk)
Distance: 2.8117% / 2.81172217
50.8 Greek_Pontus
49.2 Circassian

This one is close too

Target: RatCat(Circassian_TrabzonTurk)
Distance: 3.0805% / 3.08052174
57.4 Turk_East_Black_Sea
42.6 Circassian

I think when they were making turk_east_black_sea average they use some western trabzon samples too. That's why it has some east eurasian admixture and thats why i can be modelled better with pontic greek sample.

[gixajo]

Target: gixajo_scaled
Distance: 1.6473% / 0.01647267
50.0 gixajo_dad_scaled
50.0 gixajo_mom_scaled

[Ion Basescul]

Target: Ion_Basescul_23andme+LivingDNA
Distance: 2.7734% / 0.02773387
53.2 Bulgarian
46.8 Slovakian

[gixajo]

There is a simple method to search what OP proposed us, but I will not say anything about it.:rolleyes:

Target: gixajo_scaled
Distance: 2.4596% / 0.02459624
51.0 Spanish_Asturias
49.0 Italian_Trentino-Alto-Adige

Target: gixajo_scaled
Distance: 3.2238% / 0.03223842
52.2 Italian_Trentino-Alto-Adige
47.8 Italian_Aosta_Valley

Target: gixajo_scaled
Distance: 1.6817% / 0.01681687
51.4 French_South
48.6 Spanish_Galicia

Target: gixajo_scaled
Distance: 2.2367% / 0.02236734
51.0 Italian_Aosta_Valley
49.0 Basque_Spanish

Target: gixajo_scaled
Distance: 3.1117% / 0.03111723
50.8 Italian_Trentino-Alto-Adige
49.2 Swiss_French

Target: gixajo_scaled
Distance: 1.9814% / 0.01981413
54.8 Portuguese
45.2 French_Auvergne

Target: gixajo_scaled
Distance: 2.5423% / 0.02542259
51.6 Basque_French
48.4 Spanish_Soria

Target: gixajo_scaled
Distance: 2.4633% / 0.02463301
54.8 French_Occitanie
45.2 Spanish_Pais_Vasco

Target: gixajo_scaled
Distance: 2.1252% / 0.02125177
51.2 Spanish_Murcia
48.8 French_Occitanie

Target: gixajo_scaled
Distance: 2.0229% / 0.02022881
50.6 Spanish_Navarra
49.4 Spanish_Alacant

[mitalit]

Target: Xabier_scaled
Distance: 2.4609% / 0.02460943
51.6 French_Provence
48.4 Spanish_Cataluna

[Rocinante]

Distance: 2.9331% / 0.02933068
53.4 Spanish_Galicia
46.6 Swiss_Italian

[andre]

Target: Andrei_scaled
Distance: 2.7863% / 0.02786320
53.4 Ukrainian
46.6 Greek_Crete

[Scandal]

Target: Universe_scaled:K13&K15
Distance: 1.7189% / 0.01718891
57.0 Hungarian
43.0 Czech


Target: Universe_scaled:K13&K15
Distance: 1.4477% / 0.01447684
54.8 Czech
45.2 Moldovan_o
( what is the difference between Moldovan and Moldovan_o ? )

[Luke35]

Target: Mr.G_scaled
Distance: 1.8302% / 0.01830199
62.0 Hungarian
38.0 Dutch

Target: Mr.G_scaled
Distance: 1.2430% / 0.01242975
54.0 Dutch
46.0 Montenegrin


Can't quite get a clean 50/50. But with using my 3 ancestral populations, I can get a nice representation of my real ancestry:

Target: Mr.G_scaled
Distance: 1.7922% / 0.01792215 | ADC: 0.25x
48.2 Hungarian
43.0 German
8.8 English_Cornwall

Target: Mr.G_scaled
Distance: 1.7883% / 0.01788270 | ADC: 0.25x
49.4 Hungarian
39.4 German
11.2 English

In light of my mother scoring Belgian as her closest population on G25, I gave that ethnicity a spin..

Target: Mr.G_scaled
Distance: 1.5235% / 0.01523547
55.0 Hungarian
45.0 Belgian

[Luke35]

( what is the difference between Moldovan and Moldovan_o ? )

_o

:)

[Defcon2]

There is a simple method to search what OP proposed us, but I will not say anything about it.:rolleyes:


Cual es? a mi me es imposible conseguir un 50/50 bajando de 3.

[oszkar07]

Target: Oszkar
Distance: 1.7316% / 0.01731573 | ADC: 0.25x
51.6 Hungarian:NA15203
48.4 English:HG02215

[calxpal]

Target: cpalscaled
Distance: 2.7247% / 0.02724679
50.6 Spanish_Catalunya_Central
49.4 Finnish

Target: cpalscaled
Distance: 2.9806% / 0.02980574
52.6 Hungarian
47.4 English_Cornwall

[Luke35]

For those who have a parent with G25 coordinates, this is always a fun experiment..


My mother's G25 coordinates + the G25 Hungarian average in source:

Target: Mr.G_scaled
Distance: 1.5086% / 0.01508649
51.4 Hungarian
48.6 Mr.G_mom_scaled

[Elias.99]

Target: Elias_scaled
Distance: 2.4921% / 0.02492056
58.8 Syrian
41.2 Moroccan

Target: Elias_scaled
Distance: 2.3977% / 0.02397694
51.2 Moroccan
48.8 Turkish_Adana

Target: Elias_scaled
Distance: 2.3248% / 0.02324804
51.8 Moroccan
48.2 Assyrian

[17571imre]

Target: mh_scaled
Distance: 2.3189% / 0.02318886
50.0 Albanian
50.0 Icelandic

exact

[17571imre]

even better fit

Target: mh_scaled
Distance: 1.5019% / 0.01501933
51.4 Ukrainian
48.6 Italian_Lombardy

[alnortedelsur]

Target: Alnortedelsur
Distance: 2.1016% / 0.02101593
58.8 Spanish_Galicia
41.2 Italian_Lombardy

Target: Alnortedelsur
Distance: 2.3328% / 0.02332843 | ADC: 0.25x
69.8 Portuguese
30.2 Italian_Marche

Target: Alnortedelsur
Distance: 2.5879% / 0.02587859
55.6 Sicilian_West
44.4 French_Provence

Target: Alnortedelsur
Distance: 3.1757% / 0.03175735
57.2 French_Brittany
42.8 Serbian

Target: Alnortedelsur
Distance: 2.9718% / 0.02971750
75.4 Swiss_Italian
24.6 English_Cornwall

Target: Alnortedelsur
Distance: 2.8820% / 0.02882039
62.6 English_Cornwall
37.4 Sardinian

[yowasgeht]

Target: RF_scaled
Distance: 2.8013% / 0.02801314
50.2 Spanish_Catalunya_Central
49.8 Russian_Voronez

[Dušan]

0.015 Dušan_g25 = 50.2% Ukrainian_Zakarpattia + 49.8% Romanian

0.015 Dušan_g25 = 50.5% Russian_Kursk + 49.5% Greek_Central_Macedonia

0.016 Dušan_g25 = 50.4% Greek_Central_Macedonia + 49.6% Russian_Smolensk

0.016 Dušan_g25 = 50.2% Russian_Pskov + 49.8% Greek_Argolis

[HerculesGB]

Distance: 2.9531% / 0.02953075
53.2 Greek_Crete
46.8 Punjabi_Lahore

[Jana]

Distance to: Feiichy

0.01092253 50.80% Montenegrin + 49.20% Polish

[Russki]

Distance to: Russki

0.01603608 52.80% Estonian + 47.20% Polish

[Eurafricanid]

It's a little hard with my amerindian admixture, the closest one is this:

Target: Jgab602_scaled
Distance: 2.8188% / 0.02818788
50.8 Italian_Trentino-Alto-Adige
49.2 Mandenka

if I put the amerindian, they get even closer together, but the it's not 50/50 anymore lol:

Target: Jgab602_scaled
Distance: 2.1819% / 0.02181939 | R3P
48.8 Italian_Trentino-Alto-Adige
48.6 Mandenka
2.6 Surui

[Selene]

Distance to: Nixie

0.01972215 52.80% German_Hamburg + 47.20% Bulgarian

[rothaer]

Distance to: rothaer_scaled

0.01574781 50.00% Norwegian + 50.00% Polish

[Dušan]

Distance to: rothaer_scaled

0.01574781 50.00% Norwegian + 50.00% Polish


I managed to find exact 50%:50%, with relatively low distance.


Target: Dušan_G25
Distance: 1.7547% / 0.01754660
50.0 Greek_Elis
50.0 Russian_Pskov

[rothaer]

I managed to find exact 50%:50%, with relatively low distance. (...)

I elevated the output number to 150 in that 2-way function. The calculation took some time but then you get 150 alternatives. All had still a reasonable fit and were far below the required by the OP 3% distance.

[Boudin]

Couldn't do better than 3.3155%:

Target: boudin_scaled
Distance: 3.3155% / 0.03315521 | R2P
50.2 Spanish_Soria
49.8 French_Seine-Maritime

[vader]

Target: VaderGF_Simulated
Distance: 1.0794% / 0.01079356 | R3P
53.2 Georgian_Imer
41.6 Norwegian
5.2 Italian_Trentino_Alto_Adige

Target: Vader_scaled
Distance: 2.6314% / 0.02631377 | R3P
87.2 Spanish_Galicia
8.0 Berber_Tunisia_Chen
4.8 Norwegian

Target: Vader_dad_scaled
Distance: 1.6471% / 0.01647084 | R3P
92.4 Spanish_Galicia
4.6 Berber_Tunisia_Chen
3.0 Norwegian

Target: Vader_mom_scaled
Distance: 2.7340% / 0.02733976 | R3P
83.4 Spanish_Galicia
8.4 Norwegian
8.2 Berber_Tunisia_Chen

[MandM]

G25Studio
Using 2 populations approximation
Milenko
50% Moldovan_o:Moldovan_V46055 + 50% Greek_Central_Macedonia:GREEKGRALPOP11 @ 1,365
50% Moldovan_o:Moldovan_V46055 + 50% Greek_Laconia:LA-20 @ 1,383

vahaduo
Target: Milenko
Distance: 0.7356% / 0.00735595 | R3P
40.2 Albanian
30.4 Polish
29.4 Gagauz

[Beowulf]

Almost near 50/50

Target: Beowulf_Scaled
Distance: 0.0201% / 0.02010995
57.7 Spanish_Andalucia
42.3 BelgianA

[yngviktor]

Target: Viktor
Distance: 1.0660% / 0.01066031 | ADC: 2x RC
53.2 Serbian
46.8 Bosnian

[ScandinavianCelt]

Target: Brad.Davidski.AncestryDNA.Official.G25
Distance: 2.0070% / 0.02007012

50.0 England_IA:I16440
50.0 CZE_Unetice_C:VLI065.A0101

[Eurafricanid]

I tried again and got great results!

Target: Eurafricanid-EU
Distance: 1.4826% / 0.01482617
50.0 Basque_Spanish
50.0 Italian_Marche


Target: Eurafricanid_scaled
Distance: 2.9701% / 0.02970143
50.4 French_Bearn
49.6 Gambian

[majevica]

Target: majevica_scaled
Distance: 2.5156% / 0.02515613
50.0 Greek_Corinthia
50.0 Lithuanian_PA

[Kenshiro]

124483
The most near
124484
124485
The other two

[The_Strategist]

how to get 50/50 split?

[Dušan]

https://i.imgur.com/p4pjQF3.png

[ScandinavianCelt]

Target: Brad.Davidski.AncestryDNA.Official.G25
Distance: 2.0070% / 0.02007012

50.0 England_IA:I16440
50.0 CZE_Unetice_C:VLI065.A0101

Thought I'd show how these two fare on a few calcs to see if they line up well enough with my known background %, and seems good enough to me:


I tried these samples:

Modern Europeans:

Target: CZE_Unetice_C:VLI065.A0101
Distance: 2.8256% / 0.02825624

76.0 Irish
15.0 Finland_avg
4.6 Icelandic
4.4 Russian_avg

Target: England_IA:I16440
Distance: 2.2503% / 0.02250345

79.8 Irish
10.0 Finland_avg
5.4 Icelandic
4.8 Portuguese

Target: CZE_Unetice_C:VLI065.A0101
Distance: 3.0433% / 0.03043325 | ADC: 1x RC

75.0 Icelandic
25.0 Irish

Target: England_IA:I16440
Distance: 2.3230% / 0.02323026 | [B]ADC: 1x RC

63.0 Irish
23.8 Norwegian
13.2 Icelandic

Target: CZE_Unetice_C:VLI065.A0101
Distance: 3.0703% / 0.03070343 | ADC: 2x RC

100.0 Icelandic

Target: England_IA:I16440
Distance: 2.3944% / 0.02394358 | ADC: 2x RC

100.0 Irish



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

Moriopoulos Collection 2023:

Target: CZE_Unetice_C:VLI065.A0101
Distance: 2.0963% / 0.02096281 | ADC: 1x RC

44.2 Bell_Beaker_Scotland
14.6 Scotland_Inner_Hebrides_Skye_LIA
13.6 Scottish_Argyll_and_Bute
13.0 Denmark_Early_Medieval_Viking_Age_Langeland_(Mixed _Northern_Euro_Profile)
10.2 Norway_North_Early_Medieval_Viking_Age_(Mixed_Nors e-Insular_Celtic_Profile)
4.4 Sweden_Early-High_Medieval_Viking_Age_Malmo_(Norse_Profile)

Target: England_IA:I16440
Distance: 1.9046% / 0.01904649 | ADC: 1x RC

44.2 Denmark_Early_Medieval_Viking_Age_Zealand_(Contine ntal_Northern_Euro_Profile)
28.6 Irish
27.2 Scotland_Orkney_IA


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

Official G25 Modern Pop Ave:

Target: CZE_Unetice_C:VLI065.A0101
Distance: 3.0244% / 0.03024402 | ADC: 1x RC

73.2 Icelandic
26.8 Shetlandic

Target: England_IA:I16440
Distance: 2.3001% / 0.02300108 | ADC: 1x RC

41.2 Orcadian
35.2 Shetlandic
23.6 Irish

Target: CZE_Unetice_C:VLI065.A0101
Distance: 3.0703% / 0.03070343 | ADC: 2x RC

100.0 Icelandic

Target: England_IA:I16440
Distance: 2.3536% / 0.02353616 | ADC: 2x RC

54.6 Irish
45.4 Orcadian

[Abriekman]

Target: Abriekman_scaled
Distance: 1.9107% / 0.01910748
50.0 Bosnian
50.0 Russian_Voronez

[cass]

Target: cass
Distance: 0.9155% / 0.00915501
51.0 German
49.0 Belarusian

Target: cass
Distance: 0.9374% / 0.00937369
52.2 BelgianA
47.8 Lithuanian_RA

Target: cass
Distance: 1.0966% / 0.01096630
50.4 Latvian
49.6 French_Paris

Target: cass
Distance: 1.1306% / 0.01130591
50.4 Swiss_German
49.6 Latvian

Target: cass
Distance: 1.2280% / 0.01228011
50.2 Lithuanian_SZ
49.8 BelgianC

Target: cass
Distance: 1.3395% / 0.01339491
50.4 Lithuanian_VA
49.6 Afrikaner

Target: cass
Distance: 1.3523% / 0.01352270
51.4 Belarusian
48.6 Danish


Target: cass
Distance: 1.1721% / 0.01172147
53.0 Polish
47.0 German_East


Target: cass
Distance: 1.3575% / 0.01357489
50.4 Polish_Kashubian
49.6 German_Hamburg

Target: cass
Distance: 1.7462% / 0.01746200
52.2 Polish_Silesian
47.8 German_Hamburg


Target: cass
Distance: 1.9483% / 0.01948266
52.4 Polish_Silesian
47.6 Polish_Kashubian

[gixajo]

Target: gixajo_scaled
Distance: 1.6879% / 0.01687950
50.4 Portuguese
49.6 Basque_Navarre_Center


Target: gixajo_scaled
Distance: 2.2622% / 0.02262238
52.2 Icelandic
47.8 Sardinian

Target: gixajo_scaled
Distance: 1.7183% / 0.01718261
50.2 Spanish_Andalucia
49.8 French_Bigorre

I got it!!!

Target: gixajo_scaled
Distance: 2.0549% / 0.02054943
50.0 Basque_Soule
50.0 Italian_Trentino-Alto-Adige

[J. Ketch]

G25 modern scaled averages as of November 2023

Distance to: Creoda_scaled
0.01993685 53.20% Icelandic + 46.80% Welsh
0.02062412 51.40% English + 48.60% English_Cornwall
0.02301258 50.00% Dutch + 50.00% Norwegian

Distance to: CreodaMum_scaled
0.01748396 43.00% Danish + 57.00% Welsh
0.01802996 56.60% Dutch + 43.40% Welsh
0.01861572 47.00% BelgianB + 53.00% Swedish
0.01964762 51.40% German + 48.60% Icelandic

Distance to: CreodaDad_scaled
0.02288901 52.40% Icelandic + 47.60% Scottish
0.02764742 50.80% Norwegian + 49.20% Welsh

[Demirkazık]

Me:

0.023 50% Turkish_Sakarya + 50% Turkish_Ankara
0.024 50% Greek_Crete_Heraklion + 50% Turkmen

Mother:

0.026 50% Turkish_Ankara + 50% Turkish_Bolu
0.029 50% Greek_Cappadocia + 50% Turkmen_Uzbekistan

Father:

0.020 50% Turkish_Ankara + 50% Turkish_Aydin
0.021 50% Turkmen_Golestan + 50% Greek_Crete

Grandfather:

0.023 50% Turkish_Zonguldak + 50% Tatar_Crimean_steppe
0.026 50% Tatar_Siberian_Tomsk + 50% Cypriot

[DomitiusAurelian]

Me:

0.023 50% Turkish_Sakarya + 50% Turkish_Ankara
0.024 50% Greek_Crete_Heraklion + 50% Turkmen

Mother:

0.026 50% Turkish_Ankara + 50% Turkish_Bolu
0.029 50% Greek_Cappadocia + 50% Turkmen_Uzbekistan

Father:

0.020 50% Turkish_Ankara + 50% Turkish_Aydin
0.021 50% Turkmen_Golestan + 50% Greek_Crete

Grandfather:

0.023 50% Turkish_Zonguldak + 50% Tatar_Crimean_steppe
0.026 50% Tatar_Siberian_Tomsk + 50% Cypriot

Nerden yaptın la

[Dušan]

Put averages and your G25 here: https://output.jsbin.com/gojecoh
and then find using CTRL+F "50%"

[Beowulf]

Almost near 50/50

Target: Beowulf_Scaled
Distance: 0.0201% / 0.02010995
57.7 Spanish_Andalucia
42.3 BelgianA

Now yes :icon_yes:

https://i.postimg.cc/d0Dz99Hd/Screenshot-2023-11-15-18-30-24.png (https://postimages.org/)image share (https://postimages.org/es/)

[Ahmet]

With https://output.jsbin.com/gojecoh

0.026 Ahmet_scaled = 50% Azerbaijani_Republic_Shaki + 50% Turkish_Konya
0.026 Ahmet_scaled = 50% Georgian_Laz + 50% Turkish_Balikesir
0.028 Ahmet_scaled = 50% Turkish_Antalya + 50% Georgian_Javakheti

With DNAGenics G25 Studio

1 50% Greek_Trabzon + 50% Turkish_Antalya @ 2,265
2 50% Turkish_Trabzon + 50% Turkish_Antalya @ 2,295
3 50% Turkish_Trabzon + 50% Turkish_Balikesir @ 2,331

[Demirkazık]

Put averages and your G25 here: https://output.jsbin.com/gojecoh
and then find using CTRL+F "50%"

You can also do it like this:

https://i.ibb.co/QKvS168/Z1.jpg

https://i.ibb.co/NY7KRKR/Z2.jpg

[DomitiusAurelian]

0.021 Domitius_scaled = 50% Turkish_Sivas + 50% Turkish_Konya
0.022 Domitius_scaled = 50% Turkish_Aydin + 50% Turkish_Konya
0.022 Domitius_scaled = 50% Turkish_Denizli + 50% Turkish_Konya
0.025 Domitius_scaled = 50% Azerbaijani_Republic + 50% Turkish_Konya
0.026 Domitius_scaled = 50% Turkish_Giresun + 50% Turkish_Konya
0.026 Domitius_scaled = 50% Turkish_Balikesir + 50% Turkish_Konya

[PaulieVanZant]

Well yeah, took long enough to load:

0.010 Stahl = 53% Swedish:Sweden5 + 47% Danish:GSM1985711
0.011 Stahl = 51% English_Cornwall:HG00255 + 49% Swedish:GSM1884909
0.011 Stahl = 53% Welsh:WalesDR94 + 47% Swedish:GSM1884911
0.012 Stahl = 51% Swedish:GSM1884878 + 49% Danish:501
0.012 Stahl = 53% German_Erlangen:GSM1658612 + 47% Norwegian:GSM1550604
0.012 Stahl = 51% Dutch:GSM1633983 + 49% Swedish:GSM1884878

[cass]

Using ancient samples

Golden Horde Slavic wanderer ;)

0.012 cass = 50% England_Viking_o.SG + 50% Kazakhstan_GoldenHordeEuro.SG
0.014 cass = 50% Kazakhstan_GoldenHordeEuro.SG + 50% Netherlands_Friesland_Saxon_Medieval_oEastMed.SG
0.015 cass = 50% Denmark_Zealand_Saxon_Medieval + 50% Early_Medieval_Wielkopolska
0.015 cass = 50% Czech_IA_LaTene + 50% Kazakhstan_GoldenHordeEuro.SG
0.016 cass = 50% Denmark_Zealand_Saxon_Medieval + 50% Russia_Sunghir_Medieval.SG
0.017 cass = 50% Slovakia_IA_Vekerzug + 50% Estonia_Medieval.SG
0.017 cass = 50% Poland_Weklice_WielbarkCulture_Roman.SG + 50% Ukraine_Medieval.SG
0.017 cass = 50% Hungary_Langobard + 50% Ukraine_Medieval.SG
0.018 cass = 50% Early_Medieval_Mazovia + 50% Germany_BellBeaker
0.018 cass = 50% Russia_Sunghir_Medieval.SG + 50% Estonia_EarlyViking.SG
0.019 cass = 50% Hungary_IA_LaTene_o3 + 50% Germany_Schleswig_Saxon_LMedieval
0.019 cass = 50% Greenland_EarlyNorse.SG + 50% Early_Medieval_Mazovia
0.019 cass = 50% Czech_BellBeaker + 50% Early_Medieval_Mazovia
0.019 cass = 50% Early_Medieval_Mazovia + 50% England_Saxon
0.020 cass = 50% England_EarlyMedieval_Saxon + 50% Early_Medieval_Mazovia

[gixajo]

You can also do it like this:

]

This would be even too accurate:

Me 50% Álava+50% Andalucía

0.018 gixajo_scaled = 50% Spanish_Andalucia + 50% Basque_Araba

Dad 100% Northeast Andalucía

0.021 gixajo_dad_scaled = 50% Spanish_Castilla_La_Mancha + 50% Spanish_Andalucia

Mom 100% Southern Álava

0.018 gixajo_mom_scaled = 50% Spanish_Biscay + 50% Basque_Araba

Enana 50% me+50% Vizcaya.

0.017 gixajo_enana_scaled = 50% Spanish_Biscay + 50% Basque_Biscay

[noricum]

Brave new world

0.018 G25 noricum_scaled = 50% German_East + 50% Slovenian
0.020 G25 noricum_scaled = 50% Ukrainian_Zaporizhzhia + 50% BelgianA
0.020 G25 noricum_scaled = 50% Ukrainian_Crimea + 50% French_Alsace
0.020 G25 noricum_scaled = 50% Lithuanian_PZ + 50% Italian_Lombardy
0.021 G25 noricum_scaled = 50% Czech + 50% Slovenian
0.021 G25 noricum_scaled = 50% Hungarian + 50% German_East
0.021 G25 noricum_scaled = 50% German_Erlangen + 50% Slovenian
0.021 G25 noricum_scaled = 50% Italian_Northeast + 50% Polish_Kashubian
0.021 G25 noricum_scaled = 50% Croat_North + 50% Slovenian
0.021 G25 noricum_scaled = 50% Ukrainian_Sumy + 50% BelgianC
0.021 G25 noricum_scaled = 50% Polish_Kashubian + 50% Italian_Friuli_Venezia_Giulia_Sappada
0.021 G25 noricum_scaled = 50% Italian_Bergamo + 50% Lithuanian
0.022 G25 noricum_scaled = 50% Italian_Friuli_Venezia_Giulia_Sappada + 50% Belarusian

The olden days

0.021 G25 noricum_scaled = 50% German_Saxony_Leipzig + 50% Montenegro_Early_Medieval_Doclea_(South_Slavic_Pro file)
0.024 G25 noricum_scaled = 50% German_Saxony_Leipzig + 50% German_Bavaria_Erlangen
0.027 G25 noricum_scaled = 50% German_Saxony_Leipzig + 50% French_Oïl_Hauts-de-France_Nord_o2_(Central_European_Profile)
0.028 G25 noricum_scaled = 50% Montenegro_Early_Medieval_Doclea_(South_Slavic_Pro file) + 50% Germany_Medieval_Altheim_Baiuvaric
0.030 G25 noricum_scaled = 50% Croatia_Roman_Empire_Zadar_(North_Italian/Balkan_Profile)+50%Germany_Medieval_Krakauer_Berg_ (Mixed_Balto-Slavic-Germanic_Profile)

[Kiel]

0.016 Kiel_scaled = 50% Austrian + 50% French_Seine-Maritime
0.017 Kiel_scaled = 50% German + 50% French_Seine-Maritime
0.017 Kiel_scaled = 50% German + 50% French_Seine-Maritime
0.016 Kiel_scaled = 50% Hungarian + 50% French_Seine-Maritime

Ate the worst Pizza of my life in Rouen :rolleyes:

[Gergő Marosvári]

I got three 50-50 mix:

0.018 Gergő = 50.0% Rumelia_East + 50.0% Finnish_Southeast
0.020 Gergő = 50.0% Russian_Tver + 50.0% Gagauz
0.022 Gergő = 50.0% Ukrainian_Chernihiv + 50.0% Bulgarian

[Dušan]

Unscaled versions



Modern

0.015 Dušan_unscaled = 50% Greek_Messenia + 50% Russian_Smolensk
0.016 Dušan_unscaled = 50% Belarusian + 50% Greek_North_Tsakonia
0.016 Dušan_unscaled = 50% Greek_Argolis + 50% Belarusian
0.016 Dušan_unscaled = 50% Russian_Voronez + 50% Greek_Arcadia
0.016 Dušan_unscaled = 50% Belarusian + 50% Greek_Laconia



Ancient

0.013 Dušan_unscaled = 50% Estonia_BA.SG + 50% Greece_BA_Mycenaean_in.preparation
0.016 Dušan_unscaled = 50% Lithuania_BA + 50% Greece_BA_Mycenaean_Pylos
0.017 Dušan_unscaled = 50% Greece_Koufonisi_Cycladic_EBA.SG + 50% Latvia_BA
0.017 Dušan_unscaled = 50% Estonia_BA.SG + 50% Greece_Minoan_Kephala_Petras.SG

[Beowulf]

Unscaled version:

0.004 Beowulf_Unscaled = 50% Portuguese + 50% Swiss_German

0.009 Beowulf_Unscaled = 50% Spanish_Menorca + 50% French_Pas-de-Calais

0.012 Beowulf_Unscaled = 50% Spanish_Andalucia + 50% Norwegian

[J. Ketch]

G25 modern scaled averages as of November 2023

Distance to: Creoda_scaled
0.01993685 53.20% Icelandic + 46.80% Welsh
0.02062412 51.40% English + 48.60% English_Cornwall
0.02301258 50.00% Dutch + 50.00% Norwegian

Distance to: CreodaMum_scaled
0.01748396 43.00% Danish + 57.00% Welsh
0.01802996 56.60% Dutch + 43.40% Welsh
0.01861572 47.00% BelgianB + 53.00% Swedish
0.01964762 51.40% German + 48.60% Icelandic

Distance to: CreodaDad_scaled
0.02288901 52.40% Icelandic + 47.60% Scottish
0.02764742 50.80% Norwegian + 49.20% Welsh
My closest ~50-50 mixes from outside Northwest Europe

Distance to: Creoda_scaled
0.03607742 52.80% Basque_Araba + 47.20% Finnish_Southwest
0.03653820 48.80% Basque_Biscay + 51.20% Finnish_Southwest
0.03773448 50.60% Finnish_Southwest + 49.40% Spanish_Pais_Vasco
0.03774141 49.00% Basque_French + 51.00% Finnish_Southwest
0.03780454 49.80% Finnish_Southwest + 50.20% Spanish_Biscay
0.03826896 47.20% Basque_Spanish + 52.80% Finnish_Southwest
0.03848721 48.00% Basque_Gipuzkoa_Southwest + 52.00% Finnish_Southwest
0.03849990 50.20% Finnish_Southwest + 49.80% French_Chalosse
0.03872118 51.20% Finnish_Southwest + 48.80% Spanish_Aragon_North
0.03892325 47.60% Basque_Lower_Navarre + 52.40% Finnish_Southwest

[majevica]

Unscaled

Modern

0.016 majevica_unscaled = 50% Slovenian + 50% Macedonian
0.017 majevica_unscaled = 50% Greek_Cyclades_Kea + 50% Russian_Kaluga
0.017 majevica_unscaled = 50% Russian_Voronez + 50% Greek_Argolis
0.017 majevica_unscaled = 50% Russian_Smolensk + 50% Greek_Cyclades_Kea
0.017 majevica_unscaled = 50% Russian_Voronez + 50% Albanian

Ancient

0.015 majevica_unscaled = 50% Lithuania_Marvele_Roman.SG + 50% Spain_Greek_oAegean
0.015 majevica_unscaled = 50% Spain_Greek_oAegean + 50% Czech_EBA_Unetice_o
0.016 majevica_unscaled = 50% Hungary_Transtisza_Maros_EAvar + 50% Lithuania_Marvele_Roman.SG
0.017 majevica_unscaled = 50% Spain_Greek_oAegean + 50% Lithuania_Bailuliai_BarrowCulture.SG
0.017 majevica_unscaled = 50% Lithuania_Marvele_Roman.SG + 50% Turkey_Archaic_SubGeometric

[Thracian]

Using Demirkazik's method

0.020 Thracian_scaled = 50% Rumelia_East + 50% Turkish_Rumeli
0.021 Thracian_scaled = 50% Greek_West_Taygetos + 50% Turkish_Rumeli
0.021 Thracian_scaled = 50% Greek_Central_Macedonia + 50% Turkish_Rumeli
0.021 Thracian_scaled = 50% Gagauz + 50% Turkish_Rumeli
0.022 Thracian_scaled = 50% Greek_Cyclades_Kea + 50% Turkish_Rumeli
0.022 Thracian_scaled = 50% Greek_Elis + 50% Turkish_Rumeli
0.022 Thracian_scaled = 50% Greek_Achaea + 50% Turkish_Rumeli
0.022 Thracian_scaled = 50% Greek_Macedonia + 50% Turkish_Rumeli
0.023 Thracian_scaled = 50% Greek_Corinthia + 50% Turkish_Rumeli
0.023 Thracian_scaled = 50% Greek_Messenia + 50% Turkish_Rumeli
0.023 Thracian_scaled = 50% Greek_Peloponnese + 50% Turkish_Rumeli

[Danjojo]

Single best I could find (Polish below beats it)
0.008 Danjojo = 50% Swedish + 50% Croatian

Hamburg
0.009 Danjojo = 50% Hungarian + 50% German_Hamburg
0.010 Danjojo = 50% Slovenian + 50% German_Hamburg
0.011 Danjojo = 50% Czech + 50% German_Hamburg
0.011 Danjojo = 50% Croatian + 50% German_Hamburg
0.011 Danjojo = 50% Ukrainian_Zakarpattia + 50% German_Hamburg
0.011 Danjojo = 50% Austrian + 50% German_Hamburg
0.012 Danjojo = 50% Slovakian + 50% German_Hamburg
0.012 Danjojo = 50% German_East + 50% German_Hamburg
0.013 Danjojo = 50% German_Erlangen + 50% German_Hamburg
0.014 Danjojo = 50% Ukrainian_Lviv + 50% German_Hamburg
0.015 Danjojo = 50% German + 50% German_Hamburg
0.015 Danjojo = 50% Polish_Silesian + 50% German_Hamburg
0.016 Danjojo = 50% Polish + 50% German_Hamburg
0.016 Danjojo = 50% Bosnian + 50% German_Hamburg
0.017 Danjojo = 50% Moldovan_o + 50% German_Hamburg
0.018 Danjojo = 50% Sorb_Niederlausitz + 50% German_Hamburg
0.019 Danjojo = 50% Moldovan + 50% German_Hamburg
0.019 Danjojo = 50% Ukrainian_Rivne + 50% German_Hamburg

Hungarian
0.009 Danjojo = 50% German_Hamburg + 50% Hungarian
0.011 Danjojo = 50% Swedish + 50% Hungarian
0.012 Danjojo = 50% German_East + 50% Hungarian
0.013 Danjojo = 50% Danish + 50% Hungarian
0.013 Danjojo = 50% German + 50% Hungarian
0.014 Danjojo = 50% Czech + 50% Hungarian
0.014 Danjojo = 50% German_Erlangen + 50% Hungarian
0.014 Danjojo = 50% Norwegian + 50% Hungarian
0.015 Danjojo = 50% Dutch + 50% Hungarian
0.015 Danjojo = 50% Icelandic + 50% Hungarian
0.016 Danjojo = 50% Orcadian + 50% Hungarian
0.016 Danjojo = 50% Austrian + 50% Hungarian
0.016 Danjojo = 50% Welsh + 50% Hungarian
0.017 Danjojo = 50% English + 50% Hungarian
0.017 Danjojo = 50% Scottish + 50% Hungarian
0.017 Danjojo = 50% Slovakian + 50% Hungarian
0.018 Danjojo = 50% Shetlandic + 50% Hungarian
0.018 Danjojo = 50% English_Cornwall + 50% Hungarian
0.018 Danjojo = 50% French_Brittany + 50% Hungarian
0.018 Danjojo = 50% Irish + 50% Hungarian
0.019 Danjojo = 50% Afrikaner + 50% Hungarian
0.019 Danjojo = 50% Polish + 50% Hungarian
0.019 Danjojo = 50% BelgianA + 50% Hungarian

Czech
0.010 Danjojo = 50% German + 50% Czech
0.010 Danjojo = 50% German_Erlangen + 50% Czech
0.011 Danjojo = 50% German_Hamburg + 50% Czech
0.011 Danjojo = 50% Austrian + 50% Czech
0.013 Danjojo = 50% German_East + 50% Czech
0.014 Danjojo = 50% Hungarian + 50% Czech
0.014 Danjojo = 50% Dutch + 50% Czech
0.015 Danjojo = 50% Danish + 50% Czech
0.016 Danjojo = 50% BelgianA + 50% Czech
0.016 Danjojo = 50% Slovenian + 50% Czech
0.016 Danjojo = 50% Welsh + 50% Czech
0.016 Danjojo = 50% Afrikaner + 50% Czech
0.016 Danjojo = 50% French_Brittany + 50% Czech
0.016 Danjojo = 50% English + 50% Czech
0.016 Danjojo = 50% Swedish + 50% Czech
0.017 Danjojo = 50% BelgianB + 50% Czech
0.017 Danjojo = 50% Croatian + 50% Czech
0.017 Danjojo = 50% Orcadian + 50% Czech
0.017 Danjojo = 50% French_Alsace + 50% Czech
0.017 Danjojo = 50% French_Seine-Maritime + 50% Czech
0.017 Danjojo = 50% Norwegian + 50% Czech
0.017 Danjojo = 50% French_Nord + 50% Czech
0.017 Danjojo = 50% Scottish + 50% Czech
0.017 Danjojo = 50% French_Pas-de-Calais + 50% Czech
0.018 Danjojo = 50% Slovakian + 50% Czech
0.018 Danjojo = 50% English_Cornwall + 50% Czech
0.019 Danjojo = 50% Shetlandic + 50% Czech
0.019 Danjojo = 50% BelgianC + 50% Czech
0.019 Danjojo = 50% Icelandic + 50% Czech
0.019 Danjojo = 50% Ukrainian_Zakarpattia + 50% Czech
0.019 Danjojo = 50% Swiss_German + 50% Czech
0.019 Danjojo = 50% Irish + 50% Czech

--- EDIT ---

Polish
0.007 Danjojo = 50% BelgianB + 50% Polish
0.008 Danjojo = 50% French_Nord + 50% Polish
0.009 Danjojo = 50% French_Paris + 50% Polish
0.009 Danjojo = 50% BelgianC + 50% Polish
0.009 Danjojo = 50% French_Alsace + 50% Polish
0.009 Danjojo = 50% French_Brittany + 50% Polish
0.010 Danjojo = 50% BelgianA + 50% Polish
0.010 Danjojo = 50% French_Pas-de-Calais + 50% Polish
0.010 Danjojo = 50% Swiss_German + 50% Polish
0.010 Danjojo = 50% German + 50% Polish
0.012 Danjojo = 50% French_Seine-Maritime + 50% Polish
0.012 Danjojo = 50% Welsh + 50% Polish
0.012 Danjojo = 50% Dutch + 50% Polish
0.012 Danjojo = 50% Afrikaner + 50% Polish
0.012 Danjojo = 50% German_Erlangen + 50% Polish
0.013 Danjojo = 50% English + 50% Polish
0.013 Danjojo = 50% Austrian + 50% Polish
0.013 Danjojo = 50% English_Cornwall + 50% Polish
0.014 Danjojo = 50% French_Occitanie + 50% Polish
0.015 Danjojo = 50% Scottish + 50% Polish
0.015 Danjojo = 50% Orcadian + 50% Polish
0.016 Danjojo = 50% French_Auvergne + 50% Polish
0.016 Danjojo = 50% Irish + 50% Polish
0.016 Danjojo = 50% German_Hamburg + 50% Polish
0.017 Danjojo = 50% Danish + 50% Polish
0.017 Danjojo = 50% Shetlandic + 50% Polish
0.017 Danjojo = 50% Swiss_French + 50% Polish
0.018 Danjojo = 50% Norwegian + 50% Polish
0.019 Danjojo = 50% Hungarian + 50% Polish

[MandM]

This is the closest i got with out spending to much time expermenting


Target: MandM
Distance: 1.7116% / 0.01711604 | ADC: 2x RC
51.8 Macedonian
48.2 Romanian

[oszkar07]

Target: Oszkar
Distance: 2.2317% / 0.02231731
51.0 French_Brittany
49.0 Ukrainian_Lviv

Target: Oszkar
Distance: 2.3339% / 0.02333889
53.4 Hungarian
46.6 BelgianA

Target: Oszkar
Distance: 2.3507% / 0.02350703
55.0 Croatian
45.0 English

Target: Oszkar
Distance: 2.3717% / 0.02371659
62.8 Hungarian
37.2 English

Target: Oszkar
Distance: 2.5712% / 0.02571175
58.2 Croatian
41.8 French_Brittany

Target: Oszkar
Distance: 2.5063% / 0.02506339
66.8 Hungarian
33.2 French_Brittany

Target: Oszkar
Distance: 2.5864% / 0.02586380
65.4 Hungarian
34.6 Dutch

Target: Oszkar
Distance: 2.7066% / 0.02706635
59.6 English
40.4 Polish


Target: Oszkar
Distance: 2.1754% / 0.02175429
58.8 Slovenian
41.2 English

Target: Oszkar
Distance: 2.7196% / 0.02719565
61.0 English
39.0 Serbian

[Rafael Passoni]

Target: me_scaled (100 iterations, 390,286 models generated in 0.66 s)
1 0.022 70% French_Corsica + 30% Albanian
2 0.024 76% Albanian + 24% Sardinian
3 0.025 73% Italian_Lombardy + 27% Greek_Cyclades_Kea
4 0.025 69% Italian_Bergamo + 31% Greek_Cyclades_Kea
5 0.025 84% Italian_Tuscany + 16% Sardinian
6 0.025 70% Greek_Corinthia + 30% Basque_Soule
7 0.026 75% Greek_Thessaly + 25% Sardinian
8 0.026 79% Swiss_Italian + 21% Sardinian
9 0.026 82% Italian_Piedmont + 18% Sardinian
10 0.026 83% Italian_Emilia + 17% Sardinian
11 0.026 71% Greek_Central_Macedonia + 29% Sardinian
12 0.026 64% Greek_Izmir + 36% Basque_Soule
13 0.027 68% Italian_Trentino_Alto_Adige + 32% Italian_Calabria
14 0.027 65% Greek_Cyclades_Kea + 35% Basque_Soule
15 0.027 67% Rumelia_East + 33% Sardinian
16 0.027 69% Greek_Macedonia + 31% Sardinian
17 0.027 72% Greek_Messenia + 28% Sardinian
18 0.027 70% Greek_West_Taygetos + 30% Sardinian
19 0.027 64% Greek_South_Tsakonia + 36% Basque_Soule
20 0.027 73% Greek_Achaea + 27% Sardinian
21 0.027 70% Greek_Argolis + 30% Basque_Soule
22 0.028 69% Greek_Elis + 31% Basque_Soule
23 0.028 72% Italian_Veneto + 28% Greek_Deep_Mani
24 0.028 53% Greek_Deep_Mani + 47% French_Bigorre
25 0.028 69% Greek_Peloponnese + 31% Basque_Soule
26 0.028 61% Gagauz + 39% Sardinian
27 0.028 50% Greek_Crete_Lasithi + 50% French_Bigorre
28 0.028 58% Greek_Apulia + 42% French_Bigorre
29 0.029 68% Greek_Laconia + 32% Basque_Biscay
30 0.029 60% Spanish_Baleares + 40% Greek_Cyclades_Tinos
31 0.029 60% Greek_Arcadia + 40% Spanish_Aragon
32 0.029 59% Italian_Apulia + 41% French_Bigorre
33 0.029 56% Spanish_Girona + 44% Greek_Cyclades_Tinos
34 0.029 54% Spanish_Catalunya_Central + 46% Greek_Cyclades_Tinos
35 0.029 62% Spanish_Menorca + 38% Greek_Cyclades_Tinos
36 0.029 52% French_Bigorre + 48% Greek_Cyclades_Amorgos
37 0.029 56% Spanish_Peri-Barcelona + 44% Greek_Cyclades_Tinos
38 0.029 57% Greek_Cyclades_Tinos + 43% Basque_Soule
39 0.029 68% Greek_East_Taygetos + 32% Basque_Soule
40 0.029 79% Italian_Marche + 21% Sardinian