Central-Western Europe Calculator

[Birchy]

https://www.exploreyourdna.com/calculator/210/central-western-europe-calculator-by-oliver

Don't think there was a thread for this yet

Distance to: Birchy
0.02821851 Netherlands_Valkenburg_IA.SG(n=19)
0.03206212 Denmark_Jutland_IA.SG(n=42)
0.05012150 Germany_Hallstat_IronAge.AG(n=28)
0.05723163 France_SouthEast_IA2.AG(n=5)
0.08298993 Poland_EarlyMedieval_Slavic.SG(n=45)
0.08451729 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.15532401 Italy_Imperial.SG(n=36)

Target: Birchy
Distance: 1.9291% / 0.01929111
41.6 Denmark_Jutland_IA.SG(n=42)
29.6 France_SouthEast_IA2.AG(n=5)
28.8 Netherlands_Valkenburg_IA.SG(n=19)

Netherlands_Valkenburg is supposed to represent Insular/Bell Beaker like ancestry.

[ScandinavianCelt]

Target: SC_23andMe
Distance: 2.4283% / 0.02428272
72.0 Netherlands_Valkenburg_IA.SG(n=19)
13.4 Austria_MigrationPeriod_Pannonian.SG(n=14)
12.6 Poland_EarlyMedieval_Slavic.SG(n=45)
2.0 Italy_Imperial.SG(n=36)

[Gannicus]

Distance to: Gannicus_MergedFile_officialDavidski_scaled
0.03679139 Netherlands_Valkenburg_IA.SG(n=19)
0.04292374 Denmark_Jutland_IA.SG(n=42)
0.04393355 Germany_Hallstat_IronAge.AG(n=28)
0.05061901 France_SouthEast_IA2.AG(n=5)
0.07157934 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.09344610 Poland_EarlyMedieval_Slavic.SG(n=45)
0.14067703 Italy_Imperial.SG(n=36)

Target: Gannicus_MergedFile_officialDavidski_scaled
Distance: 0.0221% / 0.02208394
37.6 Netherlands_Valkenburg_IA.SG(n=19)
29.9 France_SouthEast_IA2.AG(n=5)
25.4 Denmark_Jutland_IA.SG(n=42)
7.1 Italy_Imperial.SG(n=36)

Target: Gannicus_MergedFile_officialDavidski_scaled
Distance: 0.0223% / 0.02226250 | R3P
63.9 Netherlands_Valkenburg_IA.SG(n=19)
30.5 France_SouthEast_IA2.AG(n=5)
5.6 Italy_Imperial.SG(n=36)


Target: Gannicus_MergedFile_officialDavidski_scaled
Distance: 0.0248% / 0.02481236 | ADC: 1x RC
57.2 Netherlands_Valkenburg_IA.SG(n=19)
42.8 Germany_Hallstat_IronAge.AG(n=28)


Distance to: Gannicus_MergedFile_officialDavidski_scaled
0.02326409 61.20% Netherlands_Valkenburg_IA.SG(n=19) + 38.80% France_SouthEast_IA2.AG(n=5)
0.02481236 42.80% Germany_Hallstat_IronAge.AG(n=28) + 57.20% Netherlands_Valkenburg_IA.SG(n=19)
0.02482243 55.80% Denmark_Jutland_IA.SG(n=42) + 44.20% France_SouthEast_IA2.AG(n=5)*
0.02605051 51.00% Denmark_Jutland_IA.SG(n=42) + 49.00% Germany_Hallstat_IronAge.AG(n=28)*
0.02667286 27.60% Austria_MigrationPeriod_Pannonian.SG(n=14) + 72.40% Netherlands_Valkenburg_IA.SG(n=19)

*qpAdm models inspired by these 2-way results

147805

147806

Tried the R3P G25 result. Couldn't find the Valkenburg Netherlands samples in the dataset that IllustrativeDNA has in their qpAdm. I used Netherlands Bellbeaker as proxy since Birchy mentioned in his OP that Valkenburg is similar to earlier Beaker groups.

147807

[celticdragongod]

Distance to: CDG_scaled
0.02413808 Netherlands_Valkenburg_IA.SG(n=19)
0.02752101 Denmark_Jutland_IA.SG(n=42)
0.05504306 Germany_Hallstat_IronAge.AG(n=28)
0.06464431 France_SouthEast_IA2.AG(n=5)
0.07649951 Poland_EarlyMedieval_Slavic.SG(n=45)
0.08572301 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.15499425 Italy_Imperial.SG(n=36)

Target: CDG_scaled
Distance: 1.9977% / 0.01997725
40.8 Denmark_Jutland_IA.SG(n=42)
37.2 Netherlands_Valkenburg_IA.SG(n=19)
16.6 Germany_Hallstat_IronAge.AG(n=28)
5.2 France_SouthEast_IA2.AG(n=5)
0.2 Austria_MigrationPeriod_Pannonian.SG(n=14)

[bc76]

Distance to: bc76
0.02492704 Netherlands_Valkenburg_IA.SG(n=19)
0.02873447 Denmark_Jutland_IA.SG(n=42)
0.05349123 Germany_Hallstat_IronAge.AG(n=28)
0.06231411 France_SouthEast_IA2.AG(n=5)
0.07606912 Poland_EarlyMedieval_Slavic.SG(n=45)
0.08974882 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.15818570 Italy_Imperial.SG(n=36)

Target: bc76
Distance: 1.9696% / 0.01969626
41.0 Netherlands_Valkenburg_IA.SG(n=19)
36.2 Denmark_Jutland_IA.SG(n=42)
18.2 France_SouthEast_IA2.AG(n=5)
4.6 Germany_Hallstat_IronAge.AG(n=28)

[Figaro]

Distance to: Figaro
0.03970431 Netherlands_Valkenburg_IA.SG(n=19)
0.04284349 Denmark_Jutland_IA.SG(n=42)
0.05189977 Germany_Hallstat_IronAge.AG(n=28)
0.05860780 Poland_EarlyMedieval_Slavic.SG(n=45)
0.06582091 France_SouthEast_IA2.AG(n=5)
0.07423632 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.14293536 Italy_Imperial.SG(n=36)

Target: Figaro
Distance: 1.9456% / 0.01945636
35.0 Poland_EarlyMedieval_Slavic.SG(n=45)
28.6 Denmark_Jutland_IA.SG(n=42)
14.4 France_SouthEast_IA2.AG(n=5)
12.6 Italy_Imperial.SG(n=36)
9.4 Netherlands_Valkenburg_IA.SG(n=19)

[Brás Garcia de Mascarenhas]

Target: Viriato_scaled
Distance: 3.6526% / 0.03652613
67.4 France_SouthEast_IA2.AG(n=5)
29.0 Italy_Imperial.SG(n=36)
3.6 Poland_EarlyMedieval_Slavic.SG(n=45)

Distance to: Viriato_scaled
0.04941660 Germany_Hallstat_IronAge.AG(n=28)
0.05106907 France_SouthEast_IA2.AG(n=5)
0.06008979 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.09677303 Netherlands_Valkenburg_IA.SG(n=19)
0.09697242 Italy_Imperial.SG(n=36)
0.10395221 Denmark_Jutland_IA.SG(n=42)
0.12529063 Poland_EarlyMedieval_Slavic.SG(n=45)

[tk'es]

Target: tk'es_simulated_g25_scaled
Distance: 3.4331% / 0.03433083
57.2 Caucasus
31.8 NorthCaucasus
10.4 Italy_Imperial.SG(n=36)
0.6 Denmark_Jutland_IA.SG(n=42)



Distance to: tk'es_simulated_g25_scaled
0.07282469 Caucasus
0.11772705 Italy_Imperial.SG(n=36)
0.12385763 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.13797870 NorthCaucasus
0.15673946 Netherlands_Valkenburg_IA.SG(n=19)
0.15798835 Germany_Hallstat_IronAge.AG(n=28)
0.16525436 Denmark_Jutland_IA.SG(n=42)
0.16874421 France_SouthEast_IA2.AG(n=5)
0.17553270 Poland_EarlyMedieval_Slavic.SG(n=45)

[Dušan]

Target: Dušan_scaled
Distance: 2.9478% / 0.02947762
59.0 Poland_EarlyMedieval_Slavic.SG(n=45)
30.8 Italy_Imperial.SG(n=36)
10.2 France_SouthEast_IA2.AG(n=5)

[noricum]

Target: G25noricum_scaled
Distance: 2.5287% / 0.02528656
50.2 Poland_EarlyMedieval_Slavic.SG(n=45)
33.8 Germany_Hallstat_IronAge.AG(n=28)
9.6 Italy_Imperial.SG(n=36)
6.4 Denmark_Jutland_IA.SG(n=42)

Distance to: G25noricum_scaled
0.05444488 Germany_Hallstat_IronAge.AG(n=28)
0.05505270 Netherlands_Valkenburg_IA.SG(n=19)
0.05656721 Denmark_Jutland_IA.SG(n=42)
0.05667893 Poland_EarlyMedieval_Slavic.SG(n=45)
0.07027616 France_SouthEast_IA2.AG(n=5)
0.07828691 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.14160402 Italy_Imperial.SG(n=36)

[Dorquest]

Target: Dorquest_scaled
Distance: 3.0486% / 0.03048593
65.4 Denmark_Jutland_IA.SG(n=42)
22.6 France_SouthEast_IA2.AG(n=5)
10.2 Italy_Imperial.SG(n=36)
1.8 Poland_EarlyMedieval_Slavic.SG(n=45)

Distance to: Dorquest_scaled
0.04187859 Netherlands_Valkenburg_IA.SG(n=19)
0.04474257 Denmark_Jutland_IA.SG(n=42)
0.05046602 Germany_Hallstat_IronAge.AG(n=28)
0.05877693 France_SouthEast_IA2.AG(n=5)
0.08033559 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.08167094 Poland_EarlyMedieval_Slavic.SG(n=45)
0.14403211 Italy_Imperial.SG(n=36)

[Kestrel]

Target: Kestrel_scaled
Distance: 2.0577% / 0.02057721
34.4 Germany_Hallstat_IronAge.AG(n=28)
27.6 France_SouthEast_IA2.AG(n=5)
15.4 Denmark_Jutland_IA.SG(n=42)
13.4 Italy_Imperial.SG(n=36)
9.2 Poland_EarlyMedieval_Slavic.SG(n=45)


Distance to: Kestrel_scaled
0.02422706 Germany_Hallstat_IronAge.AG(n=28)
0.03585431 France_SouthEast_IA2.AG(n=5)
0.05467056 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.06174398 Netherlands_Valkenburg_IA.SG(n=19)
0.06798960 Denmark_Jutland_IA.SG(n=42)
0.09369152 Poland_EarlyMedieval_Slavic.SG(n=45)
0.11746869 Italy_Imperial.SG(n=36)

[ScandinavianCelt]

Try adding this:

Ukraine_IA_WesternScythian.SG,0.116479,0.0741337,0 .0331867,0.0454353,0.0015387,0.0114347,-0.00141,0.0062307,-0.0141123,-0.0132427,0.000974,-0.005295,-0.010307,-0.0090833,0.011627,0.0012817,0.002651,0.00511,-0.0024303,-0.0010423,-0.005116,-0.0051937,0.000534,-0.0057837,-0.0021953

Target: SC_23andMe
Distance: 2.3481% / 0.02348113
51.8 Netherlands_Valkenburg_IA.SG(n=19)
15.4 Denmark_Jutland_IA.SG(n=42)
15.2 Austria_MigrationPeriod_Pannonian.SG(n=14)
9.0 Poland_EarlyMedieval_Slavic.SG(n=45)
8.6 Ukraine_IA_WesternScythian.SG

[Wend-Kruzek]

I don't know about you, but Vahaduo is just a calculator—it gives the best possible result within the G25 space. It looks for the number that’s closest (in terms of distance). That doesn’t necessarily have to be true, especially with so many samples.

[RyoHazuki]

Target: Ryo_scaled
Distance: 3.3953% / 0.03395281
69.4 Denmark_Jutland_IA.SG(n=42)
20.6 France_SouthEast_IA2.AG(n=5)
10.0 Italy_Imperial.SG(n=36)

Target: G25K13SimRyoHazuki
Distance: 1.1332% / 0.01133153
40.2 Denmark_Jutland_IA.SG(n=42)
23.6 France_SouthEast_IA2.AG(n=5)
20.4 Germany_Hallstat_IronAge.AG(n=28)
11.6 Netherlands_Valkenburg_IA.SG(n=19)
2.8 Italy_Imperial.SG(n=36)
1.4 Poland_EarlyMedieval_Slavic.SG(n=45)

[Nisko]

Target: Nisko
Distance: 1.7699% / 0.01769942
30.2 Denmark_Jutland_IA.SG(n=42)
24.0 Netherlands_Valkenburg_IA.SG(n=19)
16.8 Poland_EarlyMedieval_Slavic.SG(n=45)
13.6 Italy_Imperial.SG(n=36)
10.6 Germany_Hallstat_IronAge.AG(n=28)
4.8 France_SouthEast_IA2.AG(n=5)

[cass]

Mixing eras is a very risky and unwise idea.

Target: cass
Distance: 1.1445% / 0.01144546
57.0 Poland_EarlyMedieval_Slavic.SG(n=45)
25.6 Denmark_Jutland_IA.SG(n=42)
12.4 Germany_Hallstat_IronAge.AG(n=28)
5.0 Italy_Imperial.SG(n=36)

[cass]

Target: cass
Distance: 1.3652% / 0.01365177
50.8 Denmark_Jutland_PreRoman_IA-Protoslavic?
28.6 Denmark_Jutland_IA.SG(n=42)
20.6 Austria_MigrationPeriod_Pannonian.SG(n=14)

Using a Proto-Slavic (Pomeranian culture?) sample instead of Slavic MA

Denmark_Jutland_PreRoman_IA-Protoslavic?:CGG106486_CGG106491__BC_202__Cov_67.5 0%,0.130897,0.125926,0.084852,0.070737,0.044316,0. 031515,0.013631,0.015461,-0.002045,-0.020593,-0.006008,-0.007343,0.017245,0.027937,-0.007872,-0.006629,-0.010431,0.006334,0.001634,0.001876,-0.009358,-0.004081,0.001232,-0.016147,0.002515

[Mallisharrit]

Target: Mallisharrit
Distance: 2.3574% / 0.02357382
49.2 Italy_Imperial.SG(n=36)
21.4 Austria_MigrationPeriod_Pannonian.SG(n=14)
21.0 Poland_EarlyMedieval_Slavic.SG(n=45)
8.4 Germany_Hallstat_IronAge.AG(n=28)


Distance to: Mallisharrit
0.03521280 Austria_MigrationPeriod_Pannonian.SG(n=14)
0.06778317 Italy_Imperial.SG(n=36)
0.06818939 Germany_Hallstat_IronAge.AG(n=28)
0.07869758 France_SouthEast_IA2.AG(n=5)
0.11002517 Netherlands_Valkenburg_IA.SG(n=19)
0.11748648 Denmark_Jutland_IA.SG(n=42)
0.12319357 Poland_EarlyMedieval_Slavic.SG(n=45)