8 Ghosts:Euro Regional (scaled)

[ScandinavianCelt]

Does it work at all for you? Which ADC is best fit?

<iframe src="https://pastebin.com/embed_iframe/P6x9iV1G" style="border:none;width:50%"></iframe>

https://i.postimg.cc/VvFq1MGw/Vahaduo-Global-25-Views-2025-03-28-T213843-128.png (https://postimages.org/)


My result:

Target: SC_Ave_IllustrativeDNA
Distance: 2.0114% / 0.02011441
61.2 N-NW
17.8 NC
11.8 SE
9.2 E

Target: SC_Ave_IllustrativeDNA
Distance: 2.0114% / 0.02011441 | ADC: 0.25x RC
61.2 N-NW
17.8 NC
11.8 SE
9.2 E

Target: SC_Ave_IllustrativeDNA
Distance: 2.0581% / 0.02058054 | ADC: 0.5x RC
67.6 N-NW
22.8 C
9.6 E

Target: SC_Ave_IllustrativeDNA
Distance: 2.1680% / 0.02167955 | ADC: 1x RC
43.2 N-NW
29.8 C
27.0 NC

Target: SC_Ave_IllustrativeDNA
Distance: 2.4482% / 0.02448243 | ADC: 2x RC
100.0 NC



Note: I may or may not post the individual sample version of this, but we lose the GHOST element if so.

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

Top 5 Mod Pop Ave Scaled distances for each Source sample:

Distance to: C
0.00846350 German_Erlangen
0.01113050 Austrian
0.01316984 Hungarian
0.01488722 German
0.01582428 Czech

Distance to: E
0.01621868 Mordovian
0.01790585 Erzya
0.01966714 Moksha
0.02186062 Russian_Krasnoborsky
0.02237907 Russian_Kostroma

Distance to: SE
0.00733554 Romanian
0.00967061 Pomak_Rhodope_Mountains
0.01108173 Bulgarian
0.01150054 Macedonian
0.01327166 Serbian

Distance to: SW
0.01679207 Spanish_Andalucia
0.02011782 Spanish_Murcia
0.02028779 Spanish_Castilla_La_Mancha
0.02047123 Portuguese
0.02222301 Spanish_Galicia

Distance to: NE
0.01145151 Estonian
0.01599750 Russian_Pskov
0.01961915 Russian_Tver
0.02010193 Lithuanian_PA
0.02073240 Russian_Yaroslavl

Distance to: NC
0.00629368 Norwegian
0.00697274 Danish
0.01034086 Swedish
0.01159733 Icelandic
0.01759145 Dutch

Distance to: NW
0.00872598 French_Brittany
0.00994867 BelgianA
0.01034038 Welsh
0.01223618 English_Cornwall
0.01226429 Dutch

Distance to: N-NW
0.00614500 Scottish
0.00655247 Irish
0.00790801 Orcadian
0.01037470 Icelandic
0.01128385 English

[ScandinavianCelt]

FWIW, my centromeres/lcr result:

Target: SC_K36_Centromeres&LCR_Merged_G25
Distance: 5.1907% / 0.05190685
61.2 E
38.8 N-NW

Target: SC_K36_Centromeres&LCR_Merged_G25
Distance: 5.2818% / 0.05281793 | ADC: 2x RC
58.2 E
41.8 NC


Custom Plot:

https://i.postimg.cc/y6SNr5vy/Vahaduo-Global-25-Views-2025-03-28-T222908-499.png (https://postimages.org/)

22-chr Merged Imputed NO ADC:

https://i.postimg.cc/fLB5sTct/SC-8-Ghosts-Euro-Regional-22-chr-Merged-Imputed-NO-ADC.png (https://postimages.org/)

22-chr K36 Superkit NO ADC:

https://i.postimg.cc/4dycmnWp/SC-8-Ghosts-Euro-Regional-22-chr-K36-Superkit-NO-ADC-3.png (https://postimages.org/)

[Athalafuns]

Target: RNB27
Distance: 2.0785% / 0.02078503 | ADC: 0.5x RC
65.2 SW
34.8 NW

Works well for me. It perfectly distinguishes the two branches of my genotype with the appropriate percentages (2/3 vs 1/3).

[Grace O'Malley]

Target: Grace_scaled
Distance: 1.7322% / 0.01732201
91.2 N-NW
8.8 NC

[cass]

Target: cass
Distance: 1.1532% / 0.01153246
63.0 C
36.2 NE
0.8 N-NW

[Dušan]

Target: Dušan_scaled
Distance: 2.5969% / 0.02596888
77.2 SE
21.4 NE
1.4 SW

[Xavier727]

Target: scaled Merged data
Distance: 2.2950% / 0.02294953
54.2 NC
20.4 N-NW
13.0 NW
6.8 E
5.6 SW

Target: scaled Merged data
Distance: 2.3008% / 0.02300805 | ADC: 0.25x RC
45.0 NC
36.0 NW
12.2 N-NW
6.8 E

Target: scaled Merged data
Distance: 2.3485% / 0.02348542 | ADC: 0.5x RC
67.6 NC
32.4 NW

Target: scaled Merged data
Distance: 2.3485% / 0.02348542 | ADC: 1x RC
67.6 NC
32.4 NW

Target: scaled Merged data
Distance: 2.5144% / 0.02514408 | ADC: 2x RC
100.0 NC

[gixajo]

Target: gixajo_scaled
Distance: 1.9078% / 0.01907797
70.8 SW
29.2 NW

[ScandinavianCelt]

Target: scaled Merged data
Distance: 2.2950% / 0.02294953
54.2 NC
20.4 N-NW
13.0 NW
6.8 E
5.6 SW

Target: scaled Merged data
Distance: 2.3008% / 0.02300805 | ADC: 0.25x RC
45.0 NC
36.0 NW
12.2 N-NW
6.8 E

Target: scaled Merged data
Distance: 2.3485% / 0.02348542 | ADC: 0.5x RC
67.6 NC
32.4 NW

Target: scaled Merged data
Distance: 2.3485% / 0.02348542 | ADC: 1x RC
67.6 NC
32.4 NW

Target: scaled Merged data
Distance: 2.5144% / 0.02514408 | ADC: 2x RC
100.0 NC


To compare, with my merged data:

Target: SC_Merged_DNAGen
Distance: 2.3232% / 0.02323216 | ADC: 2x RC
100.0 N-NW

Target: SC_Merged_DNAGen
Distance: 1.7902% / 0.01790165 | ADC: 0.5x RC
79.0 N-NW
10.8 E
10.2 SE

Target: SC_Merged_DNAGen
Distance: 1.7901% / 0.01790134
78.8 N-NW
11.0 E
10.0 SE
0.2 SW

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

Now look what happens when the merged file is imputed, in smaller file (3m SNP):

Target: SC_Merged_Imputed
Distance: 1.5872% / 0.01587154 | ADC: 2x RC
100.0 NC

Target: SC_Merged_Imputed
Distance: 1.0205% / 0.01020472 | ADC: 0.5x RC
69.8 N-NW
21.4 C
8.8 E

Target: SC_Merged_Imputed
Distance: 0.9916% / 0.00991628
59.4 N-NW
22.6 NC
10.0 SE
8.0 E


I have a feeling the N-NW and NC groups did a lot of back-and-forth movements over time. Check your merged & imputed to see if you get more N-NW.

[noricum]

Target: G25noricum_scaled
Distance: 2.4663% / 0.02466328
67.8 C
14.8 NE
13.2 SE
4.2 SW

Target: G25noricum_scaled
Distance: 2.4736% / 0.02473625 | ADC: 0.25x RC
76.2 C
13.8 SE
10.0 NE

Target: G25noricum_scaled
Distance: 2.5422% / 0.02542164 | ADC: 0.5x RC
100.0 C

[Fabricius]

Does it work at all for you? Which ADC is best fit?



Yes, perfectly :thumb001:
Yeah, with high distance.

But I ruin the model, if I put non-European sample, because I become so much SE.

Target: Fabricius_g25_scaled
Distance: 5.2131% / 0.05213104
75.4 SW
20.6 E
4.0 SE

Distance to: Fabricius_g25_scaled
0.06214262 SW
0.07180398 SE
0.08447465 NW
0.08523776 C
0.09918311 N-NW
0.10200142 NC
0.12934468 E
0.13190048 NE

[Fabricius]

With SSA minus SE:
(Does this C have North Italians too?)

Target: Fabricius_g25_scaled
Distance: 1.3320% / 0.01331997
58.6 SW
28.0 C
7.2 SSA
6.2 E



SSA,-0.6284722,0.063715,0.0226691,0.0172745,0.0001368,0 .0121783,-0.0370969,0.0411777,-0.0465405,0.032006,0.0060323,-0.0016041,0.0215834,0.0015088,0.0117372,-0.0088884,0.0076734,0.003125,0.0045577,-0.0023809,0.0016546,0.0017128,-0.0019309,-0.0003437,-0.0005012

[hazmatnik]

Target: Nikola_scaled
Distance: 3.0602% / 0.03060185
93.0 SE
4.4 NE
2.6 SW

[ScandinavianCelt]

With SSA minus SE:
(Does this C have North Italians too?)

Target: Fabricius_g25_scaled
Distance: 1.3320% / 0.01331997
58.6 SW
28.0 C
7.2 SSA
6.2 E



SSA,-0.6284722,0.063715,0.0226691,0.0172745,0.0001368,0 .0121783,-0.0370969,0.0411777,-0.0465405,0.032006,0.0060323,-0.0016041,0.0215834,0.0015088,0.0117372,-0.0088884,0.0076734,0.003125,0.0045577,-0.0023809,0.0016546,0.0017128,-0.0019309,-0.0003437,-0.0005012



No sir

[Solitude]

Target: K15MHisolated
Distance: 1.6655% / 0.01665464
65.4 SW
28.8 NW
5.8 NC

Target: Merged_Dnagenics
Distance: 1.2424% / 0.01242383
46.6 SW
20.0 Yoruba
8.6 Karitiana
8.0 SE
7.2 NW
5.4 Luhya_Kenya
4.2 NC

[RyoHazuki]

Target: Ryo_scaled
Distance: 3.0880% / 0.03088021
84.0 N-NW
16.0 SW

Target: G25K13SimRyoHazuki
Distance: 1.0271% / 0.01027073
60.6 NW
13.8 NC
13.4 N-NW
10.6 SW
1.6 NE

[ScandinavianCelt]

Target: K15MHisolated
Distance: 1.6655% / 0.01665464
65.4 SW
28.8 NW
5.8 NC

Target: Merged_Dnagenics
Distance: 1.2424% / 0.01242383
46.6 SW
20.0 Yoruba
8.6 Karitiana
8.0 SE
7.2 NW
5.4 Luhya_Kenya
4.2 NC


Thank you. Are the proportions accurate if adding thosse for you? Feel free to post the samples you added if others with some background like yours could benefit.

Cheers

[ScandinavianCelt]

Target: Ryo_scaled
Distance: 3.0880% / 0.03088021
84.0 N-NW
16.0 SW

Target: G25K13SimRyoHazuki
Distance: 1.0271% / 0.01027073
60.6 NW
13.8 NC
13.4 N-NW
10.6 SW
1.6 NE


Did you get a Celtic Report score? I'm curious how much of your NW was continental Celtic and may have become North Insular Celtic? Maybe coming from other places too. The Basque are Celtic labeled with RM269-DF27 I believe, which my Dad's line/y-dna is.

You might like this: http://lewis-genealogy.org/genealogy/docs/Migrations.htm

https://i.postimg.cc/ZqYJrsm1/rp312-df27.jpg (https://postimg.cc/4YMCG5m5)

[ScandinavianCelt]

With SSA minus SE:
(Does this C have North Italians too?)

Target: Fabricius_g25_scaled
Distance: 1.3320% / 0.01331997
58.6 SW
28.0 C
7.2 SSA
6.2 E



SSA,-0.6284722,0.063715,0.0226691,0.0172745,0.0001368,0 .0121783,-0.0370969,0.0411777,-0.0465405,0.032006,0.0060323,-0.0016041,0.0215834,0.0015088,0.0117372,-0.0088884,0.0076734,0.003125,0.0045577,-0.0023809,0.0016546,0.0017128,-0.0019309,-0.0003437,-0.0005012




If you want to try it with the non-ghost original samples I used to make each regional ghost I will post it or DM you. Using individual samples I show this:

Target: SC_Ave_IllustrativeDNA
Distance: 1.7951% / 0.01795148
58.8 N-NW:Irish
12.2 SE:Bulgarian
8.6 NE:Finnish_Southeast
7.8 NE:Finnish_East
6.8 N-NW:Icelandic
3.2 SW:Spanish_Canarias
2.6 NE:Polish_Silesian

Target: SC_P1_Merged
Distance: 1.6062% / 0.01606247 | ADC: 0.5x RC
70.0 N-NW:Scottish
19.8 SE:Moldovan
10.2 E:Moksha

Target: SC_P2_Merged
Distance: 1.9163% / 0.01916350 | ADC: 0.5x RC
88.4 N-NW:Scottish
11.6 NE:Finnish_Southwest

[Fabricius]

If you want to try it with the non-ghost original samples I used to make each regional ghost I will post it or DM you. Using individual samples I show this:

Target: SC_Ave_IllustrativeDNA
Distance: 1.7951% / 0.01795148
58.8 N-NW:Irish
12.2 SE:Bulgarian
8.6 NE:Finnish_Southeast
7.8 NE:Finnish_East
6.8 N-NW:Icelandic
3.2 SW:Spanish_Canarias
2.6 NE:Polish_Silesian

Target: SC_P1_Merged
Distance: 1.6062% / 0.01606247 | ADC: 0.5x RC
70.0 N-NW:Scottish
19.8 SE:Moldovan
10.2 E:Moksha

Target: SC_P2_Merged
Distance: 1.9163% / 0.01916350 | ADC: 0.5x RC
88.4 N-NW:Scottish
11.6 NE:Finnish_Southwest

Thanks, but don't worry!

I liked the model. It gives a result corresponding to tests I did for myself.
The 5% distance is not a fault of calculator. And I have noticed that other Europeans have a distance of 3%.

I wanted smaller distances by putting a very different sample in the set.
High results for the Balkans or North Africa are common, I've gotten used to it.

[RyoHazuki]

Did you get a Celtic Report score? I'm curious how much of your NW was continental Celtic and may have become North Insular Celtic? Maybe coming from other places too. The Basque are Celtic labeled with RM269-DF27 I believe, which my Dad's line/y-dna is.

You might like this: http://lewis-genealogy.org/genealogy/docs/Migrations.htm

https://i.postimg.cc/ZqYJrsm1/rp312-df27.jpg (https://postimg.cc/4YMCG5m5)

Your DNA analysis indicates a 71% Celtic ancestry connection. This suggests that you have significant genetic connections to the ancient Celtic peoples who inhabited central and western Europe.

Key findings from your DNA analysis:

Strongest connection: La Tène culture (450-50 BCE)
Geographic regions: Primary connections to regions in modern-day France and Germany

La Tène Culture (450-50 BCE)
The La Tène period represents the height of Celtic artistic and cultural development across Europe.
58%

Hallstatt Culture (800-450 BCE)
The Hallstatt period marks the emergence of Celtic cultural identity in central Europe.
42%

[Xavier727]

To compare, with my merged data:

Target: SC_Merged_DNAGen
Distance: 2.3232% / 0.02323216 | ADC: 2x RC
100.0 N-NW

Target: SC_Merged_DNAGen
Distance: 1.7902% / 0.01790165 | ADC: 0.5x RC
79.0 N-NW
10.8 E
10.2 SE

Target: SC_Merged_DNAGen
Distance: 1.7901% / 0.01790134
78.8 N-NW
11.0 E
10.0 SE
0.2 SW

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

Now look what happens when the merged file is imputed, in smaller file (3m SNP):

Target: SC_Merged_Imputed
Distance: 1.5872% / 0.01587154 | ADC: 2x RC
100.0 NC

Target: SC_Merged_Imputed
Distance: 1.0205% / 0.01020472 | ADC: 0.5x RC
69.8 N-NW
21.4 C
8.8 E

Target: SC_Merged_Imputed
Distance: 0.9916% / 0.00991628
59.4 N-NW
22.6 NC
10.0 SE
8.0 E


I have a feeling the N-NW and NC groups did a lot of back-and-forth movements over time. Check your merged & imputed to see if you get more N-NW.


I don't think I've got imputed coords yet, that's something I'll have to do at some point, I have my averaged cords but they look basically the same


Target: Averaged_cords
Distance: 2.4420% / 0.02442031
62.4 NC
22.8 N-NW
7.0 SW
4.0 E
2.8 SE
1.0 NW


Target: Averaged_cords
Distance: 2.4493% / 0.02449327 | ADC: 0.25x RC
54.0 NC
41.2 NW
4.8 E


Target: Averaged_cords
Distance: 2.4764% / 0.02476396 | ADC: 0.5x RC
64.6 NC
35.4 NW


Target: Averaged_cords
Distance: 2.4764% / 0.02476396 | ADC: 1x RC
64.6 NC
35.4 NW


Target: Averaged_cords
Distance: 2.6639% / 0.02663881 | ADC: 2x RC
100.0 NC

[R1b-L51]

Target: ROBERTOFERN_scaled
Distance: 2.2999% / 0.02299876
79.0 SW
10.8 N-NW
10.2 SE

Target: ROBERTOFERN_scaled
Distance: 2.1168% / 0.02116768
87.2 SW
12.0 E
0.8 N-NW


Target: ROBERTOFERN_scaled
Distance: 2.4065% / 0.02406518 | ADC: 1x RC
81.4 SW
18.6 NW


Distance to: ROBERTOFERN_scaled
0.02833412 SW
0.06507027 SE
0.06955653 NW
0.07780183 C
0.08681593 N-NW
0.09326240 NC
0.13392351 NE
0.13499041 E

[ScandinavianCelt]

Target: ROBERTOFERN_scaled
Distance: 2.2999% / 0.02299876
79.0 SW
10.8 N-NW
10.2 SE

Target: ROBERTOFERN_scaled
Distance: 2.1168% / 0.02116768
87.2 SW
12.0 E
0.8 N-NW



These are both no ADC? Why are these different?

[Gallop]

FTDNA

Target: Gallop_scaled
Distance: 2.3117% / 0.02311651
80.4 SW
17.4 NW
2.2 NC

Target: Father_scaled
Distance: 2.5773% / 0.02577306
84.0 SW
9.2 E
6.8 NC

Target: brother_scaled
Distance: 2.1603% / 0.02160259
90.4 SW
6.2 E
2.4 NW
1.0 C

Target: Gallop_scaled
Distance: 2.3484% / 0.02348406 | ADC: 0.5x RC
76.2 SW
23.8 NW

Target: Father_scaled
Distance: 2.6479% / 0.02647896 | ADC: 0.5x RC
78.2 SW
21.8 C

Target: brother_scaled
Distance: 2.1621% / 0.02162117 | ADC: 0.5x RC
90.0 SW
5.8 E
4.2 C




FTDNA
Target: Gallop_scaled
Distance: 2.3484% / 0.02348406 | ADC: 1x RC
76.2 SW
23.8 NW

Ancestry
Target: Gallop_scaled
Distance: 2.2914% / 0.02291364 | ADC: 1x RC
73.6 SW
26.4 NW

[EasternLusitanian]

Target: MV_scaled
Distance: 0.0275% / 0.02747809 | ADC: 0.5x RC
88.6 SW
11.4 SE

[Fabricius]

Target: ROBERTOFERN_scaled
Distance: 2.2999% / 0.02299876
79.0 SW
10.8 N-NW
10.2 SE

Target: ROBERTOFERN_scaled
Distance: 2.1168% / 0.02116768
87.2 SW
12.0 E
0.8 N-NW




These are both no ADC? Why are these different?

Yes, Roberto. I am also curious and would like to know, to better understand our use of Vahaduo.

Did you use different coordinates?
Or did you exclude any samples in some calculation?
Or did you simply click "run" once more and the result was different? (I have noticed that the result can change without our intervention, but in cases where we use a lot of samples.)

Could you please tell us what happened? :)

[Wend-Kruzek]

Distance to: Kruzek_scaled
0.02869274 C
0.04523492 NC
0.04955143 NW
0.05038583 NE
0.05182396 NW
0.06093942 SE
0.07027420 E
0.10888900 SW



Target: Kruzek_scaled
Distance: 2.0576% / 0.02057588
44.6 NE
33.0 SE
18.4 NW
4.0 C


Target: Kruzek_scaled
Distance: 2.0861% / 0.02086056 | ADC: 0.25x RC
46.4 C
36.6 NE
17.0 SE


Target: Kruzek_scaled
Distance: 2.1895% / 0.02189528 | ADC: 0.5x RC
71.0 C
29.0 NE

[vader]

Target: Cynetes_scaled
Distance: 1.7385% / 0.01738522
88.0 SW
11.6 E
0.4 NC

[R1b-L51]

These are both no ADC? Why are these different?


Yes, Roberto. I am also curious and would like to know, to better understand our use of Vahaduo.

Did you use different coordinates?
Or did you exclude any samples in some calculation?
Or did you simply click "run" once more and the result was different? (I have noticed that the result can change without our intervention, but in cases where we use a lot of samples.)

Could you please tell us what happened? :)

Same coordinates ever.

ROBERTOFERN_scaled,0.100164,0.140143,0.035449,-0.000323,0.041854,-0.005578,0.00282,0.002538,0.020861,0.030616,-0.00406,0.006894,-0.013528,-0.009221,0.008007,-0.005967,-0.006258,-0.000253,-0.011816,-0.002626,0.004742,-0.012118,-0.010599,-0.003253,0.001437

Good question, it's the result of having such a mixed genetic makeup like mine that you drive them crazy.
You may not believe me, but my eyes and hair are a different color every day.
Sometimes I'm reddish, sometimes blond, sometimes almost brown.
My eyes fluctuate between blue, green, or gray, depending on how angry I am, my diet, or the weather.
I'm like a chameleon.

Simply the accuracy changes with distances.

[Fabricius]

Same coordinates ever.

ROBERTOFERN_scaled,0.100164,0.140143,0.035449,-0.000323,0.041854,-0.005578,0.00282,0.002538,0.020861,0.030616,-0.00406,0.006894,-0.013528,-0.009221,0.008007,-0.005967,-0.006258,-0.000253,-0.011816,-0.002626,0.004742,-0.012118,-0.010599,-0.003253,0.001437

Good question, it's the result of having such a mixed genetic makeup like mine that you drive them crazy.
You may not believe me, but my eyes and hair are a different color every day.
Sometimes I'm reddish, sometimes blond, sometimes almost brown.
My eyes fluctuate between blue, green, or gray, depending on how angry I am, my diet, or the weather.
I'm like a chameleon.

Simply the accuracy changes with distances.

So you clicked twice?
I believe the next results was established and the same, right?

[Fabricius]

Same coordinates ever.

ROBERTOFERN_scaled,0.100164,0.140143,0.035449,-0.000323,0.041854,-0.005578,0.00282,0.002538,0.020861,0.030616,-0.00406,0.006894,-0.013528,-0.009221,0.008007,-0.005967,-0.006258,-0.000253,-0.011816,-0.002626,0.004742,-0.012118,-0.010599,-0.003253,0.001437

Good question, it's the result of having such a mixed genetic makeup like mine that you drive them crazy.
You may not believe me, but my eyes and hair are a different color every day.
Sometimes I'm reddish, sometimes blond, sometimes almost brown.
My eyes fluctuate between blue, green, or gray, depending on how angry I am, my diet, or the weather.
I'm like a chameleon.

Simply the accuracy changes with distances.

This happens to me when I use hundred or thousand of samples. But after some results, it becomes stable.

[ScandinavianCelt]

Does it work at all for you? Which ADC is best fit?

<iframe src="https://pastebin.com/embed_iframe/P6x9iV1G" style="border:none;width:50%"></iframe>


My result:

Target: SC_Ave_IllustrativeDNA
Distance: 2.0114% / 0.02011441
61.2 N-NW
17.8 NC
11.8 SE
9.2 E



Using my K36 22-chr unweighted average:


Target: K36_22chr_UNweighted_Average_Mrg.Imp_SC
Distance: 0.7234% / 0.00723407
53.6 N-NW
23.6 SE
12.6 NC
10.2 E

[R1b-L51]

This happens to me when I use hundred or thousand of samples. But after some results, it becomes stable.

Yes, I have been clicking until the shortest distance came out, at first the program did not distinguish well, but surely if you could add other closer samples it would decrease the distance again showing what it showed at the beginning (it has happened to me more than once).

[Julkka]

Target: Julkka_scaled
Distance: 4.8900% / 0.04889966
57.2 E
30.0 NE
12.8 NC