Post your new feature on Vahaduo

[Impaler]

You can reduce your results to 3,4 or 5 samples. You need to run the whole spreadsheet.

https://vahaduo.github.io/vahaduo/

Average Modern:

Target: Impaler_scaled
Distance: 1.1768% / 0.01176767 | R3P
58.2 Romanian
23.8 Italian_Calabria
18.0 Jatt_Pathak

Target: Impaler_scaled
Distance: 1.0254% / 0.01025450 | R4P
41.6 Italian_Calabria
26.6 Moldovan_o
18.0 French_Paris
13.8 Kashmiri_Pandit

Target: Impaler_scaled
Distance: 0.9651% / 0.00965144 | R5P
41.6 Italian_Calabria
25.6 Moldovan_o
17.8 French_Paris
12.4 Kashmiri_Pandit
2.6 Tatar_Crimean_steppe


Average Ancient:

Target: Impaler_scaled
Distance: 1.3366% / 0.01336567 | R3P
63.2 ITA_Tivoli_Renaissance
25.4 VK2020_RUS_Kurevanikha_VA
11.4 IND_Roopkund_A

Target: Impaler_scaled
Distance: 1.1741% / 0.01174084 | R4P
31.0 VK2020_RUS_Kurevanikha_VA
26.2 ITA_Tivoli_Renaissance
22.4 BGR_C
20.4 PAK_Arkotkila_IA

Target: Impaler_scaled
Distance: 0.9783% / 0.00978258 | R5P
27.4 BGR_C
25.2 VK2020_RUS_Kurevanikha_VA
23.2 PAK_Arkotkila_IA
13.0 Levant_LBN_MA_o1
11.2 USA_colonial_period

[Luke35]

G25 modern averages scaled, whole spreadsheet, set to 3 samples:


Target: Mr.G_scaled
Distance: 0.9674% / 0.00967376 | R3P
50.2 Norwegian
44.0 Serbian
5.8 Turkish_Balikesir

[gixajo]

Reducing to 3 main components:


Target: gixajo_scaled
Distance: 1.4913% / 0.01491308 | R3P
71.4 Spanish_Aragon
25.0 Spanish_Cantabria
3.6 Lithuanian_PZ

Target: gixajo_dad_scaled
Distance: 1.7030% / 0.01702955 | R3P
48.6 English_Cornwall
39.6 Sardinian
11.8 Moroccan_North

Target: gixajo_mom_scaled
Distance: 1.6521% / 0.01652057 | R3P
48.8 Spanish_Pais_Vasco
41.8 Spanish_Castilla_Y_Leon
9.4 Icelandic

[Kaspias]

liked how it models me

Target: Kaspias_scaled
Distance: 1.9164% / 0.01916363 | R3P
47.2 BGR_Krepost_N = EEF
33.2 BGR_MLBA = Steppe Thracian
19.6 KAZ_Kipchak = Turkic

[17571imre]

pretty good i would say.

Target: mh_scaled
Distance: 0.7726% / 0.00772582 | R5P
39.6 Russian_Kursk
21.0 Macedonian
18.8 Shetlandic
18.0 Sardinian
2.6 Balochi

Target: mh_scaled
Distance: 0.8859% / 0.00885890 | R4P
38.2 Russian_Kursk
28.2 Macedonian
18.2 Shetlandic
15.4 Sardinian

mother:

Target: cb_scaled
Distance: 1.5979% / 0.01597929 | R3P
61.4 Slovakian
32.8 Macedonian
5.8 Yukagir_Forest

[Kaazi]

You can reduce your results to 3,4 or 5 samples. You need to run the whole spreadsheet.

https://vahaduo.github.io/vahaduo/

Average Modern:

Target: Impaler_scaled
Distance: 1.1768% / 0.01176767 | R3P
58.2 Romanian
23.8 Italian_Calabria
18.0 Jatt_Pathak

Target: Impaler_scaled
Distance: 1.0254% / 0.01025450 | R4P
41.6 Italian_Calabria
26.6 Moldovan_o
18.0 French_Paris
13.8 Kashmiri_Pandit

Target: Impaler_scaled
Distance: 0.9651% / 0.00965144 | R5P
41.6 Italian_Calabria
25.6 Moldovan_o
17.8 French_Paris
12.4 Kashmiri_Pandit
2.6 Tatar_Crimean_steppe


Average Ancient:

Target: Impaler_scaled
Distance: 1.3366% / 0.01336567 | R3P
63.2 ITA_Tivoli_Renaissance
25.4 VK2020_RUS_Kurevanikha_VA
11.4 IND_Roopkund_A

Target: Impaler_scaled
Distance: 1.1741% / 0.01174084 | R4P
31.0 VK2020_RUS_Kurevanikha_VA
26.2 ITA_Tivoli_Renaissance
22.4 BGR_C
20.4 PAK_Arkotkila_IA

Target: Impaler_scaled
Distance: 0.9783% / 0.00978258 | R5P
27.4 BGR_C
25.2 VK2020_RUS_Kurevanikha_VA
23.2 PAK_Arkotkila_IA
13.0 Levant_LBN_MA_o1
11.2 USA_colonial_period

Just curious, you picked up the Pathak Jatt, Kashmiri Pandit, Arkotkila_IA. Are you South Asian admixed specially northern ones?

[17571imre]

Ancient:

mother

Target: cb_scaled
Distance: 1.7230% / 0.01723018 | R3P
51.8 Baltic_EST_MA
26.6 GRC_N
21.6 Sarmatian_RUS_Caucasus

mine:

Target: mh_scaled
Distance: 1.2747% / 0.01274741 | R3P
51.4 DEU_Krakauer_Berg_MA (balto-slavic)
38.2 HRV_IA (Balkanic)
10.4 TUR_Kaman-Kalehoyuk_MLBA_low_res (Balkanic)

[Scandal]

This is only for G25?

[Thracian]

This is only for G25?

No, you can run all of Gedmatch calculators as well. Just copy the data from http://vahaduo.genetics.ovh/ and paste https://vahaduo.github.io/vahaduo/.

You will see it on SINGLE section just below the CYCLES.

[Pedro Ruben]

Modern Averages

Target: Pedro_scaled
Distance: 1.6491% / 0.01649072 | R3P
67.6 Spanish_Castilla_Y_Leon
19.6 Orcadian
12.8 Tunisian_Douz

Target: Dad_scaled
Distance: 1.7041% / 0.01704130 | R3P
76.8 Spanish_Castilla_Y_Leon
13.6 Berber_MAR_ERR
9.6 Cossack_Ukrainian

Target: Mom_scaled
Distance: 1.5722% / 0.01572235 | R3P
84.2 Spanish_Castilla_La_Mancha
12.4 English_Cornwall
3.4 Dinka

[Grace O'Malley]

Target: Grace_scaled
Distance: 1.6885% / 0.01688533 | R5P
59.0 Irish
37.6 Icelandic
2.4 Cossack_Kuban
1.0 Welsh

Target: Grace_scaled
Distance: 1.6859% / 0.01685888 | R4P
52.0 Irish
41.6 Icelandic
5.4 Swedish
1.0 Adygei

Target: Grace_scaled
Distance: 1.6919% / 0.01691903 | R3P
57.8 Irish
34.2 Icelandic
8.0 Swedish

Target: Grace_scaled
Distance: 1.6903% / 0.01690290
51.8 Irish
39.8 Icelandic
6.8 Swedish
0.8 Basque_Spanish
0.8 Darginian

[Thracian]

It seems 3 POP works a bit better, at least more stable than especially 5 POP.

K12b


Target: Thracian
Distance: 99.0814% / 0.99081385 | R3P
84.4 Greek_Thrace
12.8 Tajik_Panjshir&Kapisa
2.8 Selkup

Target: Thracian
Distance: 94.6485% / 0.94648485 | R4P
74.2 Greek_Athens
11.4 Tajik_Panjshir&Kapisa
8.0 Udmurt
6.4 Mixed_NW_Euro

Target: Thracian
Distance: 85.9494% / 0.85949410 | R5P
51.4 Greek_Icaria
20.0 Yagnobi
14.4 Mordovian
11.4 Spanish_Basque
2.8 Finnish_East



K13, I excluded some samples such as Fins


Target: Thracian_I
Distance: 140.4892% / 1.40489238 | R3P
53.4 IT_Marche
25.6 Iranian
21.0 Russian_Pinega

Target: Thracian_I
Distance: 113.9842% / 1.13984186 | R4P
43.4 Hungarian_Transylvania
31.4 IT_Abruzzo
22.6 Iranian
2.6 Selkup

Target: Thracian_I
Distance: 60.1994% / 0.60199424 | R5P
55.0 Greek_Eastern-Thrace
20.2 Iranian
20.0 Norway_South_Central
2.6 Dolgan
2.2 Brahmin_UP



G25



Target: Thracian_scaled
Distance: 1.2070% / 0.01207034 | R3P
40.4 Turkish_Rumeli
39.8 Macedonian
19.8 Ezid


Target: Thracian_scaled
Distance: 1.0556% / 0.01055573 | R4P
48.8 Macedonian
30.0 Turkish_Rumeli
18.0 Ezid
3.2 Punjabi_Lahore

[17571imre]

Ancient:

mother

Target: cb_scaled
Distance: 1.7230% / 0.01723018 | R3P
51.8 Baltic_EST_MA
26.6 GRC_N
21.6 Sarmatian_RUS_Caucasus

mine:

Target: mh_scaled
Distance: 1.2747% / 0.01274741 | R3P
51.4 DEU_Krakauer_Berg_MA (balto-slavic)
38.2 HRV_IA (Balkanic)
10.4 TUR_Kaman-Kalehoyuk_MLBA_low_res (Balkanic)

[Kyp]

Target: Kyp
Distance: 273.9232% / 2.73923246 | R3P
64.4 Greek_Istanbul
22.2 Norwegian
13.4 Pathan

Target: FatherKyp
Distance: 155.3296% / 1.55329596 | R3P
66.6 Azerbaijani_Turkey
25.2 Kumyks
8.2 Burusho

Target: MotherKyp
Distance: 104.1599% / 1.04159909 | R3P
45.8 Irish_Leinster
34.0 Ukrainian_Lviv
20.2 Spanish_Castilla_La_Mancha

[Coastal Elite]

Target: DacoCeltic_scaled
Distance: 1.3751% / 0.01375070 | R3P
51.2 Shetlandic
46.2 Macedonian
2.6 Tatar_Crimean_steppe

Mom

Target: Daco_mom_scaled
Distance: 1.2230% / 0.01222952 | R3P
88.0 Shetlandic
6.4 Latvian
5.6 Basque_Spanish

[Ritz06]

Target:
Distance: 1.2123% / 0.01212265 | R3P
48.6 French_Paris
29.2 Tajik_Yagnobi
22.2 Cherkes

[Roman-Anatolian]

Modern

Target: RA_scaled
Distance: 2.2563% / 0.02256280 | R3P
63.0 Greek_Cappadocia
20.0 Georgian_Imer
17.0 Russian_Smolensk

Target: RA_scaled
Distance: 2.2523% / 0.02252300 | R4P
52.0 Greek_Cappadocia
17.8 Russian_Smolensk
17.4 Greek_Trabzon
12.8 Georgian_Imer

Target: RA_scaled
Distance: 2.2366% / 0.02236607 | R5P
41.8 Greek_Cappadocia
27.0 Georgian_Imer
12.2 Russian_Smolensk
11.4 Macedonian
7.6 Samaritan

Ancient

Target: RA_scaled
Distance: 2.3390% / 0.02339010 | R3P
50.0 TUR_Kaman-Kalehoyuk_MLBA_low_res
33.4 Kura-Araxes_ARM_Kaps
16.6 Baltic_LTU_BA

Target: RA_scaled
Distance: 2.0074% / 0.02007396 | R4P
29.6 TUR_Kaman-Kalehoyuk_MLBA_low_res
27.6 TUR_Ikiztepe_LC
24.6 Kura-Araxes_ARM_Kaps
18.2 Baltic_LTU_BA

Target: RA_scaled
Distance: 1.9956% / 0.01995620 | R5P
30.8 TUR_Kaman-Kalehoyuk_MLBA_low_res
27.2 TUR_Ikiztepe_LC
21.6 Kura-Araxes_ARM_Kaps
17.2 Baltic_LTU_BA
3.2 RUS_Saltovo-Mayaki_low_res

[Helen]

Modern
Target: Helena_scaled
Distance: 1.2547% / 0.01254731 | R3P
56.2 Spanish_Andalucia
33.0 Basque_French
10.8 Iraqi_Jew

Target: Helena_scaled
Distance: 1.0886% / 0.01088582 | R4P
67.0 Basque_French
15.0 Macedonian
10.2 Iranian_Jew
7.8 Tunisian_Berber_Zraoua

Target: Helena_scaled
Distance: 1.0164% / 0.01016392 | R5P
53.4 Basque_French
17.0 Spanish_Asturias
13.6 Macedonian
10.2 Iranian_Jew
5.8 Tunisian_Berber_Zraoua

Ancient
Target: Helena_scaled
Distance: 1.3480% / 0.01348039 | R3P
44.6 Iberia_Southwest_BA_Afr
32.2 VK2020_Scotland_Orkney_VA
23.2 TUR_Kaman-Kalehoyuk_MLBA_low_res

Target: Helena_scaled
Distance: 1.1554% / 0.01155368 | R4P
43.4 Iberia_Southwest_BA_Afr
31.4 Wales_CA_EBA
16.2 UKR_N_o
9.0 TKM_Parkhai_MBA

Target: Helena_scaled
Distance: 1.0609% / 0.01060867 | R5P
34.8 Iberia_Southwest_BA_Afr
24.2 Iberia_Northeast_c.6-8CE_ES
19.4 Wales_CA_EBA
13.2 UKR_N_o
8.4 TKM_Parkhai_MBA

[Dušan]

K13 updated
Target: Dušan
Distance: 96.2493% / 0.96249269 | R4P
46.6 Latvian
27.8 Greek_Northern-Thrace
19.2 Sardinia
6.4 Georgian_imereti


K13 ancient
Target: Dušan
Distance: 85.8560% / 0.85856011 | R4P
55.4 Sungir6_Early_Medieval_Russian_I2a_I2a_
21.8 I3528_Hungary_Bell_Beaker_EBA_4300_ybp
12.0 I1658_Armenia_EBA_5170_ybp
10.8 I2526_Bulgaria_N_7336_ybp





K15 updated
Target: Dušan
Distance: 106.5676% / 1.06567560 | R4P
60.0 Ukrainian_Belgorod
22.4 Kosovo_Albanian
14.8 Sardinian
2.8 North_Ossetian


K15 ancient
Target: Dušan
Distance: 102.5041% / 1.02504056 | R4P
49.6 Swiss_DEU_Singen_EIA_MX265
37.2 Sunghir6
11.2 KurdistanChalcolithic_I1674
2.0 MesolithicNeolithicSerbia_I4871

[Jana]

moderns (K13)

Target: Stearsolina
Distance: 191.0407% / 1.91040719 | R3P

81.4 South_Polish
10.8 Sardinia
7.8 Abhkasian

Target: Stears
Distance: 88.9595% / 0.88959468 | R3P

78.6 Hungarian
11.2 Yagnobi
10.2 Hungarian_Northern

ancients (K13)

Target: Stearsolina
Distance: 100.4227% / 1.00422676 | R3P

59.6 BR1_Hungary_Mako_Culture_2100_BC_2100_BC_
22.8 OSS1_nogir3_Maykop_culture_5570_year_old_
17.6 ZVEJ25_latvia_HG2_narva_7791_7586_BC5841_5636_calB C_

Target: Stears
Distance: 109.1737% / 1.09173723 | R3P

51.6 AV1_Hungary_Avar_1361_ybp
30.6 scy301_SG_Moldova_Scythian_SG
17.8 R1224_Lazio_Rome_Renaissance_Italy

Target: Stearsolina
Distance: 39.9011% / 0.39901124 | R4P

36.2 ZVEJ27_Latva_HG3_7252_6802_BC5302_4852_cal_BC_
32.8 BR1_Hungary_Mako_Culture_2100_BC_2100_BC_
17.2 i2055_Unakozovskaya_N_Caucasus_6533_years_old_M_J2 _CTS900_R1a_
13.8 I2026_Germany_LBK_EN_7125_ybp

Target: Stears
Distance: 62.6206% / 0.62620567 | R4P

54.8 AV1_Hungary_Avar_1361_ybp
17.2 vik_grt036_Sweden_Viking.SG_878_ybp
17.0 STR300b_Germany_Early_Medieval.SG_1430_ybp
11.0 DA123_Kazakhstan_Kangju.SG_1700_ybp

[Damião de Góis]

Target: Gil_Vicente
Distance: 1.6405% / 0.01640525 | R3P
86.0 Spanish_Andalucia
12.2 Shetlandic
1.8 Esan_Nigeria

[andre]

With G25
Target: Andrei_scaled
Distance: 1.3598% / 0.01359826 | R3P
35.2 Iberia_Northeast_Empuries2
34.2 RUS_Ingria_IA
30.6 HUN_Avar_Period

With K13
Target: Andre
Distance: 98.3177% / 0.98317676 | R3P
40.8 I9010_Mycenaean_1351_bc_
37.0 I4081_Romania_Iron_Gates_HG_9335_ybp
22.2 scy301_SG_Moldova_Scythian_SG

Target: Andre
Distance: 74.4146% / 0.74414639 | R3P
45.6 Ukrainian_Ivano_Frankivsk
28.8 Sephardic_Jewish
25.6 Hungarian_Northern

With Dodecad K12b
Target: Andre_K12b
Distance: 102.8316% / 1.02831579 | R3P
66.0 Hungarians
31.6 Greek_Icaria
2.4 Kazakh

[CommonSense]

Vahaduo
Admixture JS
Target: CommonSense
Distance: 122.5097% / 1.22509720 | R4P
47.0 South_Polish
30.4 Greek_Northern-Thrace
12.8 Sardinia
9.8 Lak

[Dr_Maul]

Target: DrMaul
Distance: 1.3215% / 0.01321532 | R3P
51.8 IRN_Hasanlu_IA
30.6 IRN_Ganj_Dareh_Historic
17.6 PAK_Udegram_MA_Ghaznavid

Target: DrMaul
Distance: 0.1390% / 0.00138969 | R3P | ADC: 0.25x RC
86.4 Kurdish
9.0 Gujar_India
4.6 Tajik_Yagnobi

[Chris596]

Where is this setting, how does it even look like? I can't find it :(

[altaic]

Is this the newest one on Vahaduo, “G25 Modern AND Ancient individual samples scaled NEW”
This calculation takes very long time on me, is this normal? I guess due to ample amount of samples...

[Impaler]

Where is this setting, how does it even look like? I can't find it :(

https://i.ibb.co/9NNMVDR/Untitled.png (https://ibb.co/VttKQ1X)


https://vahaduo.github.io/vahaduo/

[Gallop]

Target: Gallop_scaled
Distance: 1.7935% / 0.01793536 | R3P
74.8 Spanish_Castilla_Y_Leon
22.0 Spanish_La_Rioja
3.2 North_Ossetian

[Abriekman]

Target: Abriekman_scaled
Distance: 1.7809% / 0.01780890 | R3P
82.8 Ukrainian
13.8 Rumelia_East
3.4 Assyrian

Target: Abriekman_scaled
Distance: 1.7621% / 0.01762121 | R4P
69.8 Ukrainian
13.8 Slovakian
10.8 Bulgarian
5.6 Assyrian

Target: Abriekman_scaled
Distance: 1.7547% / 0.01754705 | R5P
65.8 Ukrainian
15.4 Slovakian
10.0 Greek_Macedonia
5.0 Assyrian
3.8 Ingrian

This is the most broadly accurate run

Target: Abriekman_scaled
Distance: 1.8717% / 0.01871701 | R5P
57.0 Polish
18.6 Slovakian
10.2 Mordovian
8.4 Greek_Macedonia
5.8 Assyrian

[altaic]

2 population
Target: Altaic_scaled
Distance: 0.9519% / 0.00951879 | R4P | ADC: 1x RC
80.4 Turkish
19.6 Iranian

3 population
Target: Altaic_scaled
Distance: 0.7123% / 0.00712290 | R3P | ADC: 0.5x RC
59.0 Turkish
20.8 Turkish_Istanbul
20.2 Turkish_Adana

Target: Altaic_scaled
Distance: 0.7392% / 0.00739201 | R3P | ADC: 0.25x RC
67.4 Turkish
24.8 Turkish_Adana
7.8 Greek_Dodecanese

Target: Altaic_scaled
Distance: 0.5844% / 0.00584422 | R3P
66.6 Turkish
19.4 Lebanese_Christian_Greek_Orthodox
14.0 UZB_Bustan_BA

4 population
Target: Altaic_scaled
Distance: 0.6083% / 0.00608271 | R4P | ADC: 0.25x RC
54.6 Turkish
29.2 Turkish_Adana
13.8 Greek_Dodecanese
2.4 Mari

Target: Altaic_scaled
Distance: 0.4078% / 0.00407835 | R4P
47.4 Turkish
27.8 TUR_Arslantepe_LC
17.0 UZB_Bustan_BA
7.8 Chuvash

5 population
Target: Altaic_scaled
Distance: 0.4887% / 0.00488703 | R5P | ADC: 0.25x RC
35.8 Turkish
23.8 Turkish_Istanbul
23.6 Turkish_Adana
14.2 Greek_Dodecanese
2.6 Mari

Target: Altaic_scaled
Distance: 0.2840% / 0.00284024 | R5P
32.8 TUR_Alalakh_MLBA
22.8 Rumelia_East
19.6 Kabardin
19.6 TKM_Gonur1_BA
5.2 Mari

[Abriekman]

It seems 3 POP works a bit better, at least more stable than especially 5 POP.

K12b


Target: Thracian
Distance: 99.0814% / 0.99081385 | R3P
84.4 Greek_Thrace
12.8 Tajik_Panjshir&Kapisa
2.8 Selkup

Target: Thracian
Distance: 94.6485% / 0.94648485 | R4P
74.2 Greek_Athens
11.4 Tajik_Panjshir&Kapisa
8.0 Udmurt
6.4 Mixed_NW_Euro

Target: Thracian
Distance: 85.9494% / 0.85949410 | R5P
51.4 Greek_Icaria
20.0 Yagnobi
14.4 Mordovian
11.4 Spanish_Basque
2.8 Finnish_East



K13, I excluded some samples such as Fins


Target: Thracian_I
Distance: 140.4892% / 1.40489238 | R3P
53.4 IT_Marche
25.6 Iranian
21.0 Russian_Pinega

Target: Thracian_I
Distance: 113.9842% / 1.13984186 | R4P
43.4 Hungarian_Transylvania
31.4 IT_Abruzzo
22.6 Iranian
2.6 Selkup

Target: Thracian_I
Distance: 60.1994% / 0.60199424 | R5P
55.0 Greek_Eastern-Thrace
20.2 Iranian
20.0 Norway_South_Central
2.6 Dolgan
2.2 Brahmin_UP



G25



Target: Thracian_scaled
Distance: 1.2070% / 0.01207034 | R3P
40.4 Turkish_Rumeli
39.8 Macedonian
19.8 Ezid


Target: Thracian_scaled
Distance: 1.0556% / 0.01055573 | R4P
48.8 Macedonian
30.0 Turkish_Rumeli
18.0 Ezid
3.2 Punjabi_Lahore



Why do you score Iranic?

[Abriekman]

Dodecad 12b

Target: Abriekman
Distance: 59.8156% / 0.59815583 | R5P
35.0 Latvian
29.6 Slovak
13.8 Croat
12.4 MD_South
9.2 Georgian_Gurian

Target: Abriekman
Distance: 63.6975% / 0.63697517 | R4P
33.6 PL_Warmia-Masuria
33.4 Lithuanian
22.2 MD_South
10.8 Georgian_Gurian

Target: Abriekman
Distance: 71.9129% / 0.71912911 | R3P
60.0 Belorussian
28.2 Slovak
11.8 Laz

[oszkar07]

G25 modern averages scaled set to 3 samples:


Target: Oszkar
Distance: 1.8119% / 0.01811925 | R3P
40.2 Russian_Smolensk
36.4 English_Cornwall
23.4 Italian_Lombardy

[Luso]

G25 modern avg:

Target: Luso_scaled
Distance: 1.8670% / 0.01866953 | R3P
78.6 Spanish_Asturias
16.8 Macedonian
4.6 Ethiopian_Agaw

[oszkar07]

Looks like Im Masurian afterall.
Target: Oszkar
Distance: 125.0660% / 1.25066008 | R4P
39.0 Masurian
37.2 Norwegian
18.0 Swiss_Italian
5.8 Saudi


Target: Oszkar
Distance: 113.9375% / 1.13937492 | R5P
39.4 Norwegian
25.6 Belorussian
15.0 Southwest_French
14.2 Croat_East
5.8 Saudi

[Thracian]

Why do you score Iranic?

Probably, because of my low East Eurasian score.

[17571imre]

G25 modern averages scaled set to 3 samples:


Target: Oszkar
Distance: 1.8119% / 0.01811925 | R3P
40.2 Russian_Smolensk
36.4 English_Cornwall
23.4 Italian_Lombardy

what do you get without all Italian samples?

[altaic]

liked how it models me

Target: Kaspias_scaled
Distance: 1.9164% / 0.01916363 | R3P
47.2 BGR_Krepost_N = EEF
33.2 BGR_MLBA = Steppe Thracian
19.6 KAZ_Kipchak = Turkic

What is this model? Can you share it?

[calxpal]

3

Target: cpalscaled
Distance: 1.8523% / 0.01852318 | R3P
52.4 Norwegian
37.2 Macedonian
10.4 Cossack_Kuban


4

Target: cpalscaled
Distance: 1.8336% / 0.01833638 | R4P
48.2 Norwegian
33.0 Macedonian
13.2 Cossack_Kuban
5.6 Spanish_Soria



5

Target: cpalscaled
Distance: 1.8223% / 0.01822319 | R5P
45.4 Norwegian
30.6 Macedonian
9.0 Slovakian
8.8 Cossack_Kuban
6.2 Spanish_Soria

Cool! :cool:
Ancient....

3

Target: cpalscaled
Distance: 1.7457% / 0.01745698 | R3P
71.6 DEU_Halberstadt_LBA
16.6 KAZ_Golden_Horde_Euro
11.8 GRC_N

4

Target: cpalscaled
Distance: 1.6449% / 0.01644876 | R4P
50.4 DEU_Halberstadt_LBA
19.0 GRC_N
17.8 Baltic_EST_MA
12.8 Corded_Ware_Baltic_early

5

Target: cpalscaled
Distance: 1.5638% / 0.01563752 | R5P
42.8 DEU_Halberstadt_LBA
20.2 England_Saxon
16.2 KAZ_Golden_Horde_Euro
13.4 GRC_N
7.4 KAZ_Georgievsky2_LBA

[oszkar07]

what do you get without all Italian samples?

a little bit a dis a little bit a dat
https://media.tenor.com/images/e27f4938819722bf9689eb2bff9f2c7e/tenor.gif



Target: Oszkar
Distance: 1.9001% / 0.01900081 | R4P | ADC: 0.5x RC
41.6 Russian_Smolensk
34.8 English_Cornwall
16.8 Spanish_Pais_Vasco
6.8 Greek_Cappadocia

[Thambi]

Target: Thambi_scaled
Distance: 1.7260% / 0.01725960 | R3P
73.6 Piramalai
13.4 Balochi
13.0 Uttar_Pradesh

[Trouble]

Target: Father scaled
Distance: 0.9762% / 0.00976209 | R5P
38.4 Piramalai
30.4 Pallan
18.4 Brahmin_Uttar_Pradesh
7.2 Iranian
5.6 Ossetian

Target: Trouble/Borealis scaled
Distance: 0.8276% / 0.00827606 | R5P
30.4 Sakilli
22.6 Gujarati
22.6 Punjabi_Sikh_India
19.0 Chamar
5.4 Ossetian

Target: Father scaled
Distance: 1.0417% / 0.01041709 | R4P
57.6 Pallan
30.0 Gujar_Pakistan
10.4 Brahmin_Uttar_Pradesh
2.0 Masai

Target: Trouble/Borealis scaled
Distance: 0.8775% / 0.00877523 | R4P
34.6 Punjabi_Sikh_India
29.4 Gujarati
22.6 Sakilli
13.4 Irula

Target: father scaled
Distance: 1.1392% / 0.01139163 | R3P
52.2 Kadar
46.0 Gujar_Pakistan
1.8 Masai

Target: Trouble/Borealis scaled
Distance: 0.9498% / 0.00949802 | R3P
43.2 Gujarati
31.2 Punjabi_Sikh_India
25.6 Irula

[Trouble]

Target: Thambi_scaled
Distance: 1.7260% / 0.01725960 | R3P
73.6 Piramalai
13.4 Balochi
13.0 Uttar_Pradesh

Do 4 and 5 too homie

[Luso]

G25 modern avg:

Target: Luso_scaled
Distance: 1.8670% / 0.01866953 | R3P
78.6 Spanish_Asturias
16.8 Macedonian
4.6 Ethiopian_Agaw

Adding with 4th Population and 5th Population..

Target: Luso_scaled
Distance: 1.7826% / 0.01782580 | R4P
45.2 Spanish_Asturias
32.8 Spanish_Castilla_Y_Leon
18.6 Italian_Liguria
3.4 Ethiopian_Wolayta

Target: Luso_scaled
Distance: 1.6989% / 0.01698891 | R5P
28.8 Basque_French
28.6 Spanish_Asturias
28.4 Italian_Liguria
10.8 Mozabite
3.4 Mari

[Thambi]

Do 4 and 5 too homie

interesting that you and your father get very western and very tribal shifted mixtures. I mean i saw this trend in some of your other G25 results iirc, however its still something. But again baloch is random in my case too lol.

Realistically I think you should be halfway south indian midcaste like piramalai and halfway kshatriya/up brahmin with some western pull.

Here are my 4 and 5 btw.
Target: Thambi_scaled
Distance: 1.7129% / 0.01712874 | R4P
68.8 Piramalai
11.6 Balochi
10.0 Gujarati
9.6 Uttar_Pradesh

Target: Thambi_scaled
Distance: 1.7108% / 0.01710772 | R5P
64.2 Piramalai
11.6 Gujarati
11.2 Balochi
9.0 Uttar_Pradesh
4.0 Kurumba

[PAGANE]

K13 updated
mine
Target: M
Distance: 99.0800% / 0.99079960 | R3P
49.0 Austrian
34.4 Assyrian_West
16.6 Russian_Smolensk


brother
Target: D
Distance: 111.2359% / 1.11235875 | R3P
76.4 Montenegrin
18.4 Adygea
5.2 Saudi




mother
Target: R
Distance: 51.8527% / 0.51852675 | R3P
82.0 Greek_Istanbul
9.4 Belorussian
8.6 Austrian






K13 ANCIENT


mine
Target: M
Distance: 129.8095% / 1.29809520 | R3P
53.8 R115_Lazio_Rome_Roman_Imperial
30.0 kzb006_srubno_alakulskaya_1771_1626bce_
16.2 vik_KAL006_Sweden_Viking.SG_900_ybp




brother
Target: D
Distance: 113.9764% / 1.13976424 | R3P
46.2 AV1_Hungary_Avar_1361_ybp
46.0 R50_Lazio_Rome_Roman_Imperial
7.8 i2055_Unakozovskaya_N_Caucasus_6533_years_old_M_J2 _CTS900_R1a_


mother
Target: R
Distance: 50.6102% / 0.50610184 | R3P
44.2 R72_Lazio_Rome_Roman_Imperial
31.2 SA6003_ANCIENT_Sharakhalsun6_Catacomb_culture_4292 _
24.6 R61_Lazio_Rome_Late_Medieval_Italy

[Trouble]

interesting that you and your father get very western and very tribal shifted mixtures. I mean i saw this trend in some of your other G25 results iirc, however its still something. But again baloch is random in my case too lol.

Realistically I think you should be halfway south indian midcaste like piramalai and halfway kshatriya/up brahmin with some western pull.

Here are my 4 and 5 btw.
Target: Thambi_scaled
Distance: 1.7129% / 0.01712874 | R4P
68.8 Piramalai
11.6 Balochi
10.0 Gujarati
9.6 Uttar_Pradesh

Target: Thambi_scaled
Distance: 1.7108% / 0.01710772 | R5P
64.2 Piramalai
11.6 Gujarati
11.2 Balochi
9.0 Uttar_Pradesh
4.0 Kurumba

Yeah haha idk it’s weird why he’s like that my grandma side and grandpa side’s immediately family both look typical for the region neither tribal nor western shifted.

For you I think Baloch is just Iran_N Dravidian shift. My dad has it too but the extra steppe and tribal ancestry covers it.

[Lucas]

Reduce added to all calcs here http://vahaduo.genetics.ovh
And Davidski G25 sheets here http://g25vahaduo.genetics.ovh
Also you can reduce from 2 to 7 pops, not 3 to 5:)

[Ion Basescul]

Target: IonBasescul
Distance: 1.0506% / 1.05059073 | R3P
48.4 Croat_South
43.6 Csángó
8.0 Nogay

Target: IonBasescul
Distance: 1.0133% / 1.01332092 | R4P
83.0 Moldova_North
8.2 Southwest_French
6.0 Nogay
2.8 Laz

Target: IonBasescul
Distance: 0.8601% / 0.86008517 | R5P
64.8 Moldova_North
18.4 Slovenian
5.8 North_Ossetian
5.6 Crimean_Tatar
5.4 Sardinia

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

Target: IonBasescul
Distance: 1.7361% / 1.73606949 | R3P
68.2 AV1_Hungary_Avar_1361_ybp
19.2 MA2198_Anatolia_IA.SG_2900_ybp
12.6 I3535_Hungary_ALPc_III_MN_7061_ybp

Target: IonBasescul
Distance: 0.9619% / 0.96187769 | R4P
46.4 STR310_Germany_Early_Medieval.SG_1430_ybp
43.4 Sungir6_Early_Medieval_Russian_I2a_I2a_
6.2 Pazyryk_IA_Be9
4.0 ANCIENT_ARM002_Kaps_Kura_Araxes_culture_5148_years _old_

Target: IonBasescul
Distance: 0.5455% / 0.54550811 | R5P
30.2 vik_KAL006_Sweden_Viking.SG_900_ybp
25.4 I5072_Croatia_Impressa_EN_7551_ybp
24.4 I1875_Croatia_Mesolithic_HG_9118_ybp
17.4 ARM001_Kaps_Kura_Araxes_5329_5_years_old_R1a1_
2.6 DA106_nomad_Kyrgystan_1000_1250_AD_

[Chris596]

Using my 23andme data. Interestingly, the Eurogenes K13 result almost perfectly matches my 23andme ancestry report, which is very cool.

Eurogenes K13

Target: Chris
Distance: 202.5914% / 2.02591366 | R3P
41.4 Greek_Western-Thrace
29.4 Latvian
29.2 Greek_Northern-Thrace

Target: Chris
Distance: 194.5545% / 1.94554507 | R4P
39.2 Greek_Northern-Thrace
28.8 Greek_Western-Thrace
18.6 Latvian
13.4 South_Polish

Target: Chris
Distance: 195.2561% / 1.95256110 | R5P
39.8 Greek_Northern-Thrace
29.6 Greek_Western-Thrace
21.2 Latvian
9.4 Sorb_Lusatia

Eurogenes Jtest


Target: Chris
Distance: 273.0802% / 2.73080242 | R3P
47.4 Romanian
32.0 North_Italian
20.6 Lithuanian


Target: Chris
Distance: 245.7535% / 2.45753459 | R4P
39.8 Romanian
32.6 North_Italian
23.0 Lithuanian
4.6 Ashkenazi

Target: Chris
Distance: 237.6386% / 2.37638570 | R5P
40.4 Romanian
28.8 North_Italian
23.8 Lithuanian
5.0 Ashkenazi
2.0 Sardinian


G25 Modern Averages Scaled, R5P

Target: Chris_scaled
Distance: 1.3501% / 0.01350094 | R5P
41.8 Lithuanian_PA
23.0 Macedonian
17.6 Sardinian
12.4 Abkhasian
5.2 Tatar_Lipka

[Negah]

Modern Population G25 - 3 population.

Target: Negah_scaled
Distance: 1.4514% / 0.01451383 | R3P
38.2 Ossetian
32.6 Balochi
29.2 Samaritan

Modern Populations G25 - 5 modern pop

Target: Negah_scaled
Distance: 1.3287% / 0.01328724 | R5P
32.6 Samaritan
31.0 Ossetian
15.6 Kalash
14.4 Balochi
6.4 Iranian_Mazandarani

[Lucas]

I added possibility to breakdown using only 2 pops also.
here for all calcs http://vahaduo.genetics.ovh/
and for Davidski sheets only http://g25vahaduo.genetics.ovh/

[Jana]

Nice. K12b

Target: Stearsolina
Distance: 2.2313% / 2.23129292 | R2P

87.1 Croat
12.9 PL_Mazovia

[Lucas]

Nice. K12b

Target: Stearsolina
Distance: 2.2313% / 2.23129292 | R2P

87.1 Croat
12.9 PL_Mazovia

Try with ADC 1 or 2. For some reason here result is more like 50/50 for R2P, in many instances at least.

[Jana]

Try with ADC 1 or 2. For some reason here result is more like 50/50 for R2P, in many instances at least.

Target: Stearsolina
Distance: 2.2711% / 2.27108801 | R2P | ADC: 1x RC

63.4 Croat
36.6 Hungarians

on K13 I get very even split without any ADC :)

Target: Stearsolina
Distance: 3.4320% / 3.43204893 | R2P

50.7 Moldova_North
49.3 Slovenian

[Dušan]

EUTest
Target: Dušan
Distance: 3.5584% / 3.55835376 | R2P
73.3 SerbianBosnia
26.7 Romanian


Dodecad K12b
Target: Dušan
Distance: 2.2466% / 2.24659792 | R2P
73.6 Montenegrin
26.4 Russian_Voronezh

[Dr_Maul]

Dodecad K12b


Target: DrMaul
Distance: 1.3537% / 1.35366361 | R4P
84.1 Lur_Iran
9.0 Sindhi
4.1 Algerian
2.8 Selkup

Target: DrMaul
Distance: 1.7769% / 1.77686808 | R3P
79.9 Lur_Iran
14.4 Nuristani
5.7 Algerian

Target: DrMaul
Distance: 2.9045% / 2.90449644 | R2P
73.2 Kurd_Kurmanji
26.8 Balochi


Harappa


Target: DrMaul
Distance: 1.3500% / 1.34999546 | R4P
86.7 Iranian_Lur
5.4 Bene_Israel_Jew
5.2 Makrani
2.7 Selkup

Target: DrMaul
Distance: 1.3269% / 1.32687090 | R3P
89.9 Iranian_Lur
7.7 Sindhi2
2.4 Ket

Target: DrMaul
Distance: 1.8696% / 1.86960276 | R2P
77.9 Iranian_Lur
22.1 Tajik_Herat


K15

Target: DrMaul
Distance: 1.5860% / 1.58603963 | R4P
62.0 Iranian_Lur
23.9 Iranian_Persian
8.1 Pathan
6.0 Iraqi_Jew

Target: DrMaul
Distance: 1.8021% / 1.80210854 | R3P
66.6 Iranian_Lur
30.6 Iranian_Persian
2.8 Velamas

Target: DrMaul
Distance: 2.0930% / 2.09300207 | R2P
92.4 Iranian_Lur
7.6 Pathan

[Helen]

K15
Target: Helena
Distance: 1.5329% / 1.53294077 | R2P
88.8 Spanish_Castilla_La_Mancha
11.2 Sicily_Enna

Target: Helena
Distance: 82.5840% / 0.82584014 | R3P
82.8 Spanish_Aragon
15.0 Italy_Apulia
2.2 Ethiopian_Wolayta

Target: Helena
Distance: 70.4309% / 0.70430926 | R4P
47.0 French_Basque
34.2 Italy_Lazio
15.4 Portuguese
3.4 Ethiopian_Tigray

Target: Helena
Distance: 60.6554% / 0.60655381 | R5P
34.6 French_Basque
31.4 Italy_Emiliaromagna
26.0 Spanish_Aragon
4.6 Italian_Jewish
3.4 Ethiopian_Tigray

[migrec]

Being so mixed, this is nice to see. Add Bulgarian (w/ Turk) to Macedonian and it's spot on.

Target: Scaled
Distance: 1.9318% / 0.01931762 | R3P
69.6 Macedonian
25.6 Chechen
4.8 Nganassan

[Pedro Ruben]

k15

Target: Pedro
Distance: 1.1752% / 1.17515411 | R3P
54.2 Spanish_Aragon
22.9 Tunisian
22.9 West_Norwegian

Target: Dad
Distance: 2.0671% / 2.06714853 | R3P
78.0 Southwest_French
19.5 Tunisian
2.5 Sandawe

Target: Mom
Distance: 3.5003% / 3.50029940 | R3P
39.4 Spanish_Extremadura
37.7 Orcadian
22.9 Sardinian

[Chris596]

This is my K12b result, reduced to 2 populations. I'm basically this.

Dodecad K12b

Target: Chris
Distance: 2.8296% / 2.82963587 | R2P
53.9 Hungarians
46.1 Albanian

[Vid Flumina]

Target: VFlumina_scaled
Distance: 1.1559% / 0.01155888 | R3P
55.2 VK2020_DNK_Langeland_VA
36.4 DEU_LBK_SMH
8.4 TKM_Tepe_Anau_En


Target: VFlumina_scaled
Distance: 1.1559% / 0.01155900 | R3P
23.2 VK2020_DNK_Langeland_VA:VK292
21.0 DEU_LBK_SMH:XN183
15.4 DEU_LBK_SMH:XN174
14.8 VK2020_DNK_Langeland_VA:VK338
8.4 TKM_Tepe_Anau_En:I4085
7.2 VK2020_DNK_Langeland_VA:VK289
5.0 VK2020_DNK_Langeland_VA:VK291
3.4 VK2020_DNK_Langeland_VA:VK275
1.6 VK2020_DNK_Langeland_VA:VK366


Target: VFlumina_scaled
Distance: 1.4883% / 0.01488325 | R3P
42.8 Italian_Aosta_Valley
37.4 French_Alsace
19.8 Rumelia_East


Target: VFlumina_scaled
Distance: 1.4883% / 0.01488325 | R3P
32.4 French_Alsace:A_28
23.2 Italian_Aosta_Valley:Aosta4
19.6 Italian_Aosta_Valley:Aosta17
13.8 Rumelia_East:652
6.0 Rumelia_East:649
5.0 French_Alsace:A_42

[calxpal]

2 populations :thumb001:

G25 Ancient Averages

Target: cpalscaled
Distance: 0.0177% / 0.01767144 | R2P
61.4 VK2020_SWE_Uppsala_VA
38.6 UKR_Cimmerian_o

G25 Modern Averages
Target: cpalscaled
Distance: 0.0199% / 0.01993933 | R2P
61.2 Norwegian
38.8 Macedonian

Ancient Individual
Target: cpalscaled
Distance: 0.0106% / 0.01062896 | R2P
55.6 HUN_MA_Szolad
44.4 VK2020_SWE_Gotland_VA

Modern Individual
Target: cpalscaled
Distance: 0.0084% / 0.00838562 | R2P
71.0 German
29.0 Italian_Aosta_Valley

Modern and Ancient
Target: cpalscaled
Distance: 0.0175% / 0.01750765 | R2P
66.2 DEU_Halberstadt_LBA
33.8 Macedonian

[Scandal]

K13:


Target: Universe
Distance: 240.5918% / 2.40591837 | R4P
71.2 Belorussian
15.2 Moldova_Jewish
13.6 Swiss_Italian

Moldova_jewish is the new shit.

[oszkar07]

K15

Target: Oszkar
Distance: 3.5948% / 3.59483380 | R3P
42.4 Russian_Smolensk
36.2 North_German
21.4 French_Basque


Target: Oszkar
Distance: 2.5536% / 2.55360594 | R4P
40.0 Russian_Smolensk
36.0 North_German
20.3 French_Basque
3.7 Saudi


Target: Oszkar
Distance: 2.4088% / 2.40884654 | R5P
44.8 Russian_Smolensk
29.1 West_Scottish
20.2 French_Basque
3.7 Saudi
2.2 Adygei


Target: Oszkar
Distance: 2.3993% / 2.39929958 | R6P
42.4 Russian_Smolensk
29.2 West_Scottish
20.2 French_Basque
3.8 Saudi
2.3 North_Ossetian
2.1 Estonian_Polish

Target: Oszkar
Distance: 2.3859% / 2.38585560 | R7P
28.2 West_Scottish
28.1 Belorussian
21.8 French_Basque
14.8 Russian_Smolensk
3.7 Saudi
3.4 North_Ossetian

[oszkar07]

Target: Oszkar
Distance: 0.4055% / 0.40553682 | R7P
37.4 French
20.8 PL_Warmia-Masuria
13.6 Montenegrin
12.8 Hungarians
9.7 Russian_Pinega
5.7 Mixed_NW_Euro



Target: Oszkar
Distance: 0.4153% / 0.41525407 | R6P
33.6 PL_Warmia-Masuria
22.0 French
16.6 Italian_Trentino
12.3 Mixed_NW_Euro
9.6 Russian_Pinega
5.9 Albanian_Kosovo


Target: Oszkar
Distance: 0.4156% / 0.41564928 | R5P
37.4 French
29.5 PL_Warmia-Masuria
19.5 Montenegrin
9.0 Russian_Pinega
4.6 Mixed_NW_Euro


Target: Oszkar
Distance: 0.5745% / 0.57450054 | R3P
45.4 Slovenian
39.6 French
15.0 Karelian

[Helen]

K12B
Target: Helena
Distance: 60.2630% / 0.60262992 | R3P
93.8 Spanish_Castilla-Leon
3.2 Algerian
3.0 Balochi

Target: Helena
Distance: 50.5946% / 0.50594642 | R4P
53.4 Spanish_Asturias
18.2 Portuguese
14.8 Mixed_NW_Euro
13.6 Morocco_Jews

Target: Helena
Distance: 35.5616% / 0.35561590 | R5P
47.2 Spanish_Aragon
27.0 Spanish_Castilla-Leon
13.6 French2
6.4 Algerian
5.8 Mandean

[gixajo]

K13 ancient 2 reduced to 2 populations.:confused:

Target: gixajo
Distance: 2.4645% / 2.46450644 | R2P
80.0 I1297_Bulgaria_MP_N_7817_ybp
20.0 I7211_Czech_Bell_Beaker_4150_ybp

Target: gixajo_dad
Distance: 1.7255% / 1.72547613 | R2P
70.7 R63_Lazio_Rome_Medieval_Italy
29.3 I2440_Poland_Globular_Amphora_4950_ybp

Target: gixajo_mom
Distance: 1.4056% / 1.40559254 | R2P
71.3 I3758_Celtiberian_U_
28.7 Kvarlov5164_Sweden_TRB_MN_5746_ybp

Same with K15 ancient...

Target: gixajo
Distance: 2.8336% / 2.83359483 | R2P
59.9 France_IA_BFM265
40.1 Swiss_CHE_LN_MX184

Target: gixajo_dad
Distance: 3.2175% / 3.21746550 | R2P
60.4 Swiss_CHE_IA_SX18
39.6 Swiss_CHE_LN_o_lc_RA42

Target: gixajo_mom
Distance: 2.8692% / 2.86922830 | R2P
52.9 Swiss_DEU_Singen_EBA_MX277
47.1 Swiss_CHE_LN_o_lc_RA42

[gixajo]

K15 modern...

Target: gixajo
Distance: 4.0448% / 4.04479495 | R2P
63.3 Southwest_French
36.7 Spanish_Castilla_Y_Leon

Target: gixajo_dad
Distance: 3.7187% / 3.71867770 | R2P
85.8 Southwest_French
14.2 Moroccan

Target: gixajo_mom
Distance: 2.6738% / 2.67383879 | R2P
50.6 French_Basque
49.4 Spanish_Castilla_Y_Leon

[gixajo]

Eutest updated...

Target: gixajo
Distance: 5.2973% / 5.29734463 | R2P
81.4 Spanish
18.6 French_Basque

Target: gixajo_dad
Distance: 4.2723% / 4.27228275 | R2P
94.6 Spanish
5.4 Bedouin

Target: gixajo_mom
Distance: 5.1071% / 5.10706434 | R2P
90.5 French_Basque
9.5 Mozabite_Berber

[ModernMaskil]

Target: ModernMaskil_scaled
Distance: 1.5081% / 0.01508089 | R2P
79.4 Sephardic_Jew
20.6 German_East

Target: ModernMaskil_scaled
Distance: 1.2922% / 0.01292189 | R3P
50.8 Sephardic_Jew
27.9 Moroccan_Jew
21.3 German_East

Target: ModernMaskil_scaled
Distance: 1.1632% / 0.01163169 | R4P
53.6 Moroccan_Jew
18.1 Italian_Lombardy
15.5 Armenian
12.8 Russian_Smolensk

Target: ModernMaskil_scaled
Distance: 1.0573% / 0.01057287 | R5P
38.1 Moroccan_Jew
31.5 Sephardic_Jew
14.4 Italian_Lombardy
8.3 Lithuanian_PZ
7.7 Avar

Target: ModernMaskil_scaled
Distance: 1.0504% / 0.01050360 | R6P
41.1 Moroccan_Jew
26.5 Sephardic_Jew
11.7 Italian_Lombardy
8.9 Russian_Smolensk
7.7 Kaitag
4.1 Macedonian

[gixajo]

Oh, I didn´t know the new feature was in G25 too!!!

Modern scaled averages.

Target: gixajo_scaled
Distance: 1.5290% / 0.01528962 | R2P
95.3 Spanish_Aragon
4.7 Lithuanian_VA

Target: gixajo_dad_scaled
Distance: 1.9243% / 0.01924311 | R2P
86.8 Spanish_Extremadura
13.2 Sardinian

Target: gixajo_mom_scaled
Distance: 1.8160% / 0.01815981 | R2P
57.1 Spanish_Pais_Vasco
42.9 Spanish_Castilla_Y_Leon

Modern scaled individuals.

Target: gixajo_scaled
Distance: 1.0067% / 0.01006657 | R2P
63.0 Portuguese
37.0 Basque_Spanish

Target: gixajo_dad_scaled
Distance: 1.2795% / 0.01279533 | R2P
54.6 Portuguese
45.4 Spanish_Castello

Target: gixajo_mom_scaled
Distance: 1.2460% / 0.01246008 | R2P
56.2 Spanish_Valencia
43.8 French_Occitanie


Ancient scaled averages.

Target: gixajo_scaled
Distance: 1.4467% / 0.01446729 | R2P
68.6 Iberia_Northeast_c.6-8CE_ES
31.4 Iberia_Menorca_LBA

Target: gixajo_dad_scaled
Distance: 1.8309% / 0.01830944 | R2P
52.2 DEU_Lech_BBC
47.8 ITA_Etruscan_o

Target: gixajo_mom_scaled
Distance: 2.0228% / 0.02022825 | R2P
57.8 Iberia_Northeast_c.6-8CE_ES
42.2 ITA_Prenestini_tribe_IA

Ancient individuals (I thought results would show 2 individual samples, but with aggregate NO option, it gives us more than 2 individual samples in our results, so I tried it with aggregate YES option)

Target: gixajo_scaled
Distance: 1.3641% / 0.01364072 | R2P
70.9 VK2020_DNK_Langeland_VA
29.1 Iberia_Southeast_MLN

Target: gixajo_dad_scaled
Distance: 1.6659% / 0.01665858 | R2P
60.2 DEU_Singen_EBA
39.8 ITA_Etruscan_o

Target: gixajo_mom_scaled
Distance: 1.4297% / 0.01429685 | R2P
51.0 Iberia_North_BA
49.0 VK2020_DNK_Langeland_VA

[SUPREEEEEME]

Target: SUPREEEEEME_scaled
Distance: 1.9051% / 0.01905135 | R2P
78.9 Sephardic_Jew
21.1 Icelandic

Target: SUPREEEEEME_scaled
Distance: 1.7328% / 0.01732797 | R3P
78.7 Sephardic_Jew
18.0 Icelandic
3.3 Mari

Target: SUPREEEEEME_scaled
Distance: 1.7107% / 0.01710736 | R4P
78.8 Sephardic_Jew
14.2 Icelandic
4.1 Russian_Smolensk
2.9 Mari

Target: SUPREEEEEME_scaled
Distance: 1.6524% / 0.01652388 | R5P
34.9 Italian_Liguria
34.2 Tunisian_Jew
17.2 Iranian_Jew
9.7 Shetlandic
4.0 Mari

Target: SUPREEEEEME_scaled
Distance: 1.6543% / 0.01654268 | R6P
25.0 Italian_Liguria
24.7 Tunisian_Jew
18.9 Sephardic_Jew
13.8 Iraqi_Jew
12.3 Shetlandic
5.3 Chuvash

Target: SUPREEEEEME_scaled
Distance: 1.6293% / 0.01629307 | R7P
28.0 Sephardic_Jew
27.7 Italian_Liguria
15.5 Moroccan_Jew
11.3 Samaritan
8.7 Icelandic
4.9 Iranian_Mazandarani
3.9 Mari

Target: SUPREEEEEME_scaled
Distance: 2.6429% / 0.02642913 | R2P
61.7 Levant_LBN_MA
38.3 VK2020_NOR_North_IA

Target: SUPREEEEEME_scaled
Distance: 2.1936% / 0.02193602 | R3P
54.2 Iberia_Northeast_c.8-12CE
29.0 IRN_Ganj_Dareh_Historic
16.8 Levant_Beirut_IAIII_Egyptian

Target: SUPREEEEEME_scaled
Distance: 1.8759% / 0.01875943 | R4P
41.3 HRV_IA
37.2 Levant_Ashkelon_LBA
16.7 KAZ_Ak_Moustafa_MLBA1
4.8 MAR_Taforalt

Target: SUPREEEEEME_scaled
Distance: 1.6604% / 0.01660407 | R5P
34.0 HRV_IA
25.4 Levant_Ashkelon_LBA
17.8 TUR_Kaman-Kalehoyuk_MLBA_low_res
17.7 KAZ_Ak_Moustafa_MLBA1
5.1 MAR_Taforalt

Target: SUPREEEEEME_scaled
Distance: 1.5895% / 0.01589548 | R6P
30.6 DEU_MA_o
26.3 VK2020_NOR_North_IA
22.5 Levant_Ashkelon_LBA
7.8 TKM_Gonur3_BA
6.8 ITA_Sardinia_C_o
6.0 ITA_Collegno_MA_o2

Target: SUPREEEEEME_scaled
Distance: 1.5072% / 0.01507227 | R7P
28.4 DEU_MA_o
22.8 Levant_Ashkelon_LBA
21.5 VK2020_NOR_North_IA
8.5 TKM_Gonur3_BA
7.0 CHE_FN_steppe
6.9 ITA_Sardinia_C_o
4.9 ITA_Collegno_MA_o2

[Chris596]

I don't know where the French Basque came from, the rest seems to be accurate.

Eurogenes K15 Modern

Target: Chris
Distance: 5.1078% / 5.10784736 | R2P
69.5 Bulgarian_Thracian
30.5 Lithuanian

Target: Chris
Distance: 3.7707% / 3.77072055 | R3P
62.5 Bulgarian_Thracian
29.1 Lithuanian
8.4 French_Basque

Eurogenes K15 Ancient

Target: Chris
Distance: 7.3861% / 7.38605911 | R2P
74.4 Swiss_DEU_Singen_EIA_MX265
25.6 ArmeniaCA_I1631

Target: Chris
Distance: 3.2225% / 3.22248796 | R5P
35.7 Swiss_DEU_Singen_EIA_MX265
21.5 Sunghir6
18.0 KurdistanChalcolithic_I1662
13.5 MakoCultureHungary_BR1
11.3 CheddarMan

Target: Chris
Distance: 2.9100% / 2.90996888 | R7P
27.7 Sunghir6
20.4 Swiss_DEU_Singen_EIA_MX265
17.8 MakoCultureHungary_BR1
15.0 KurdistanChalcolithic_I1662
10.3 CheddarMan
7.5 IA_Ardea_R850
1.3 Han00774

[Dirdepo]

Target: Dirdepo_scaled
Distance: 2.6614% / 0.02661381 | R5P
50.4 Baltic_EST_BA:s19_V14_2
26.8 Turkish_Rumeli
13.4 Rumelia_East
8.6 Sardinian
0.8 Moroccan_North

[Chris596]

2 populations mode provides me very accurate results in general. As a very wise member once said:
Balkaniggas and Slavomongols -> yep, that's me (plus some Ashkenazi and Käräböğä ofc)

Dodecad World9

Target: Chris
Distance: 1.6049% / 1.60491526 | R2P
67.9 Bulgarian
32.1 Ukranians


Dodecad K7b

Target: Chris
Distance: 1.2391% / 1.23907544 | R2P
72.1 Bulgarian
27.9 Mixed_Slav


MDLP K16

Target: Chris
Distance: 2.8378% / 2.83783633 | R2P
70.5 Serbian_Serbia
29.5 Bulgarian_EastRumelia


HarappaWorld Updated

Target: Chris
Distance: 1.5720% / 1.57198238 | R2P
83.4 Serbian
16.6 Italian

[Dirdepo]

Vlach, Polish, Russian

Target: Dirdepo_FatherHarappa
Distance: 391.7128% / 3.91712789 | R5P
46.8 NE-Euro
33.2 Sardinian
17.2 Pamiri_Rushan
1.8 Serbian
1.0 Pima

Krymchak, Ukrainian

Target: Dirdepo_MotherHarappa
Distance: 786.9464% / 7.86946353 | R5P
45.2 NE-Euro
21.6 Puerto_Rican1
16.0 Sephardic_Jew
8.8 Pamiri_Rushan
8.4 Tunisia

[Thracian]

Some 2 POP for me




G25

Target: Thracian_scaled
Distance: 1.8434% / 0.01843444 | R2P
63.1 Turkish_Rumeli
36.9 Rumelia_East

MDLP K16

Target: Thracian
Distance: 2.8785% / 2.87853142 | R2P
82.7 Greek-Peloponness
17.3 Tadjik_Shugnan

K13
Target: Thracian
Distance: 4.3315% / 4.33146887 | R2P
74.5 Bulgaria_Northeastern
25.5 Turk_Central_East

Eurogenes K15

Target: Thracian
Distance: 5.6799% / 5.67993321 | R2P
85.9 Bulgarian_Thracian
14.1 North_Ossetian

Dodecad K12b

Target: Thracian
Distance: 2.2731% / 2.27305075 | R2P
85.7 Greek_Thrace
14.3 Tajik_Panjshir&Kapisa

Eurogenes K10

Target: Thracian
Distance: 1.3369% / 1.33685148 | R2P
84.0 Kosovo_Albanian
16.0 Tadjik

PuntDNAL K15

Target: Thracian
Distance: 3.6200% / 3.61995359 | R2P
85.2 Greek_Central
14.8 Uzbek

[calxpal]

My sister

K13 updated

Target: sis
Distance: 2.0666% / 2.06663176 | R2P
88.2 German
11.8 Southwest_French

Target: sis
Distance: 0.9331% / 0.93305721 | R3P
89.4 German
8.2 French_Basque
2.4 Kol

Target: sis
Distance: 0.6128% / 0.61276294 | R4P
41.9 Sweden_Svealand_West
36.4 IT_Aosta_Valley
18.8 German_East
2.9 Kol




My mom

K13 updated

Target: mom
Distance: 5.8460% / 5.84601773 | R2P
97.1 West_Scottish
2.9 Yemenite_Jewish

Target: mom
Distance: 5.8445% / 5.84452085 | R3P
95.1 West_Scottish
2.9 Yemenite_Jewish
2.0 Norway_South_Central




My dad

K13 updated

Target: dad
Distance: 0.6457% / 0.64569442 | R4P
41.3 Austrian
26.2 East_Finnish
19.9 IT_Lombardy
12.6 IT_Aosta_Valley


Target: dad
Distance: 1.0029% / 1.00287201 | R3P
46.0 Croat_West
42.4 North-Swedish
11.6 Sardinia


Target: dad
Distance: 1.9237% / 1.92374228 | R2P
61.2 Hungarian_Northern
38.8 Pennsylvania_Dutch

[MINARDOWICZ]

You can reduce your results to 3,4 or 5 samples. You need to run the whole spreadsheet.

https://vahaduo.github.io/vahaduo/

Average Modern:

Target: Impaler_scaled
Distance: 1.1768% / 0.01176767 | R3P
58.2 Romanian
23.8 Italian_Calabria
18.0 Jatt_Pathak

Target: Impaler_scaled
Distance: 1.0254% / 0.01025450 | R4P
41.6 Italian_Calabria
26.6 Moldovan_o
18.0 French_Paris
13.8 Kashmiri_Pandit

Target: Impaler_scaled
Distance: 0.9651% / 0.00965144 | R5P
41.6 Italian_Calabria
25.6 Moldovan_o
17.8 French_Paris
12.4 Kashmiri_Pandit
2.6 Tatar_Crimean_steppe


Average Ancient:

Target: Impaler_scaled
Distance: 1.3366% / 0.01336567 | R3P
63.2 ITA_Tivoli_Renaissance
25.4 VK2020_RUS_Kurevanikha_VA
11.4 IND_Roopkund_A

Target: Impaler_scaled
Distance: 1.1741% / 0.01174084 | R4P
31.0 VK2020_RUS_Kurevanikha_VA
26.2 ITA_Tivoli_Renaissance
22.4 BGR_C
20.4 PAK_Arkotkila_IA

Target: Impaler_scaled
Distance: 0.9783% / 0.00978258 | R5P
27.4 BGR_C
25.2 VK2020_RUS_Kurevanikha_VA
23.2 PAK_Arkotkila_IA
13.0 Levant_LBN_MA_o1
11.2 USA_colonial_period

Are you about 1/8 Romany? OR 1/4?

[calxpal]

K15 updated
Target: cpal
Distance: 2.2011% / 2.20105245 | R2P
61.3 West_Norwegian
38.7 Romania_Se

Target: cpal
Distance: 1.6916% / 1.69160859 | R3P
60.8 West_Norwegian
35.4 Romania_Se
3.8 Chuvash

Target: cpal
Distance: 1.3588% / 1.35880919 | R4P
62.7 West_Norwegian
30.6 Romania_Se
4.4 Chuvash
2.3 Saudi



K12b updated
Target: cpal
Distance: 0.4015% / 0.40150757 | R4P
65.2 Mixed_NW_Euro
16.3 Bulgarian_Central
14.9 Finnish_East
3.6 Kuwait2


Target: cpal
Distance: 1.0405% / 1.04051477 | R3P
68.8 Mixed_NW_Euro
20.0 Finnish_East
11.2 Lebanese_Christian


Target: cpal
Distance: 1.3123% / 1.31225410 | R2P
86.8 Swedish
13.2 Lebanese_Christian


Harappa updated
Target: cpal
Distance: 0.6677% / 0.66773470 | R4P
68.6 British
19.2 Mordovian
11.0 Samaritian
1.2 Lithuanian


Target: cpal
Distance: 0.6730% / 0.67296842 | R3P
68.8 British
20.4 Mordovian
10.8 Samaritian


Target: cpal
Distance: 2.4435% / 2.44345872 | R2P
89.3 Utahn_White2
10.7 Iraq_Jew

[Kaspias]

G25


Target: Kaspias
Distance: 2.7811% / 0.02781107 | R2P
69.1 Rumelia_East
30.9 Tatar_Crimean_steppe


K13


Target: Kaspias
Distance: 2.2589% / 2.25886611 | R2P
76.4 Pomak_Greece
23.6 Afghan_Turkmen


K12b


Target: Kaspias
Distance: 2.6916% / 2.69164778 | R2P
72.1 Pomak_Greece
27.9 Turkmen_Uzbekistan


K10


Target: Kaspias
Distance: 2.8788% / 2.87877430 | R2P
73.8 Gagauz
26.2 UZB_Turkmen


K15


Target: Kaspias
Distance: 5.7470% / 5.74698711 | R2P
74.9 Gagauz
25.1 Afghan_Turkmen


MDLP K16



Target: Kaspias
Distance: 2.9537% / 2.95371983 | R2P
74.5 Greek-Macedonia
25.5 Chuvash-Anatri


PuntDNAL K15



Target: Kaspias
Distance: 2.7984% / 2.79841513 | R2P
71.9 Bulgarian
28.1 Turkmen

[paradox]

K13 updated

Target: K13
Distance: 1.4065% / 1.40651817 | R2P
78.9 Pomak_Greece
21.1 Greek_Cypriot
__________

Target: Fatherk13
Distance: 1.4751% / 1.47509876 | R2P
81.2 Vlach(Aromanian)_average
18.8 North-Swedish
__________________

K13 ancient

Target: K13
Distance: 2.3908% / 2.39076399 | R2P
56.5 R72_Lazio_Rome_Roman_Imperial
43.5 MJ14_West_Scythian_R1a_Z645_
__________

Target: Fatherk13
Distance: 1.5038% / 1.50376358 | R2P
68.3 R973_Lazio_Rome_Renaissance_Italy
31.7 Kretuonas2_Lithuania_EMN_Narva_4200_ybp
__________________

G25 Ancient averages

Target: scaled
Distance: 1.4501% / 0.01450118 | R2P
79.1 IND_Roopkund_B
20.9 Baltic_EST_MA
__________

Target: Father_scaled
Distance: 2.3892% / 0.02389225 | R2P
74.6 ITA_Proto-Villanovan
25.4 VK2020_POL_Cedynia_VA

[Smitty]

My mom (3/4 German, 1/4 Sicilian):

Target: MomK13
Distance: 3.6111% / 3.61105607 | R2P

62.0 North_German
38.0 Greek_Northern-Thrace

Target: MomK13
Distance: 2.2628% / 2.26275069 | R3P

50.6 Norwegian
34.7 Croat_East
14.7 Lebanese_Druze

Target: MomK13
Distance: 1.9864% / 1.98643289 | R4P

45.9 Norwegian
23.7 Sorb_Lusatia
23.2 Greek_Istanbul
7.2 Lebanese_Druze

Target: MomK13
Distance: 1.3379% / 1.33789478 | R5P

45.7 Norwegian
23.4 Sorb_Lusatia
22.5 Greek_Istanbul
6.9 Lebanese_Druze
1.5 Mayan

Can anyone explain to me why it always chooses extreme populations (like Norwegian and Lebanese) rather than actual German and Italian?

[someonenotyou]

Modern:

Target:
Distance: 1.3882% / 0.01388171 | R3P
69.1 Austrian
21.8 Czech
9.1 Zaza_Dersim

Target:
Distance: 1.3320% / 0.01331985 | R4P
42.1 Swiss_Italian
28.2 Lithuanian_VZ
23.7 Icelandic
6.0 Iranian_Mazandarani



Target:
Distance: 1.3151% / 0.01315054 | R5P
29.8 Swiss_Italian
26.9 Austrian
20.5 Lithuanian_VZ
16.7 Icelandic
6.1 Iranian_Mazandarani
Ancient
Target:
Distance: 1.4148% / 0.01414769 | R3P
50.1 VK2020_NOR_Mid_MA
33.2 VK2020_UKR_Lutsk_MA
16.7 TUR_Kaman-Kalehoyuk_MLBA_low_res

Target:
Distance: 1.2298% / 0.01229841 | R4P
32.0 HUN_MA_Szolad_o1
31.6 VK2020_DNK_Jutland_IA
26.5 Baltic_LTU_Late_Antiquity_low_res
9.9 TKM_Gonur3_BA

Target:
Distance: 1.0974% / 0.01097405 | R5P
26.6 VK2020_DNK_Jutland_IA
26.0 Baltic_LTU_Late_Antiquity_low_res
21.9 ITA_Ardea_Latini_IA_o
17.2 UKR_Cimmerian_o
8.3 HRV_IA

K13
Target:
Distance: 2.0543% / 2.05425993 | R3P
53.0 South_Polish
34.9 Southwest_French
12.1 Georgian_imereti

Target:
Distance: 1.4107% / 1.41069989 | R4P
61.1 Ukrainian_Ivano_Frankivsk
23.2 French_Basque
13.5 Avar
2.2 Sardinia

Target:
Distance: 1.2620% / 1.26204905 | R5P
39.7 Ukrainian_Ivano_Frankivsk
25.5 French_Basque
11.8 Russian_Kargopol
11.6 Greek_Northern-Thrace
11.4 Avar

K15
Target:
Distance: 5.6698% / 5.66980122 | R3P
71.0 East_German
15.6 Tabassaran
13.4 Sardinian

Target:
Distance: 3.2909% / 3.29086420 | R4P
37.6 Masurian
21.7 West_Norwegian
21.3 Sardinian
19.4 Tabassaran

Target:
Distance: 3.0819% / 3.08193815 | R5P
27.1 West_Norwegian
22.2 Sardinian
20.2 Masurian
17.8 Tabassaran
12.7 Erzya

[Blemoir]

k13 updated:
rget: blemoir
Distance: 207.0517% / 2.07051699 | R3P
78.6 IT_Liguria
18.2 Algerian
3.2 Yoruban

k13 ancient:
Target: blemoir
Distance: 138.6667% / 1.38666664 | R3P
53.6 I7457_iberia_
42.8 CL36_longobard_north_italy
3.6 ela001_South_Africa_400BP.SG_493_ybp

k15 updated:
Target: blemoir
Distance: 132.1278% / 1.32127845 | R3P
60.2 Spanish_Murcia
34.8 Italian_Jewish
5.0 Mandenka

k15 ancient:
Target: blemoir
Distance: 291.5585% / 2.91558455 | R3P
46.8 France_IA_PEY53
45.6 Minoan_Lasithi_I0074
7.6 Mbuti00449

[Lucas]

My mom (3/4 German, 1/4 Sicilian):

Target: MomK13
Distance: 3.6111% / 3.61105607 | R2P

62.0 North_German
38.0 Greek_Northern-Thrace


Can anyone explain to me why it always chooses extreme populations (like Norwegian and Lebanese) rather than actual German and Italian?

Try also with ADC and Recalculate options.

[Lucas]

G25


Target: Kaspias
Distance: 2.7811% / 0.02781107 | R2P
69.1 Rumelia_East
30.9 Tatar_Crimean_steppe


K13


Target: Kaspias
Distance: 2.2589% / 2.25886611 | R2P
76.4 Pomak_Greece
23.6 Afghan_Turkmen


K12b


Target: Kaspias
Distance: 2.6916% / 2.69164778 | R2P
72.1 Pomak_Greece
27.9 Turkmen_Uzbekistan


K10


Target: Kaspias
Distance: 2.8788% / 2.87877430 | R2P
73.8 Gagauz
26.2 UZB_Turkmen


K15


Target: Kaspias
Distance: 5.7470% / 5.74698711 | R2P
74.9 Gagauz
25.1 Afghan_Turkmen


MDLP K16



Target: Kaspias
Distance: 2.9537% / 2.95371983 | R2P
74.5 Greek-Macedonia
25.5 Chuvash-Anatri


PuntDNAL K15



Target: Kaspias
Distance: 2.7984% / 2.79841513 | R2P
71.9 Bulgarian
28.1 Turkmen


Very consistent.

[Smitty]

Try also with ADC and Recalculate options.

I think I did it right.

Target: MomK13
Distance: 2.5869% / 2.58688138 | R2P | ADC: 2x RC

59.1 North_German
40.9 Pomak_Greece

[17571imre]

MDLP K23b


Target: mh
Distance: 2.2657% / 2.26574145 | R2P | ADC: 0.25x RC
72.0 Montenegrian
28.0 Dutch


Target: mh
Distance: 1.2360% / 1.23600383 | R3P
58.1 Hungarian_Budapest
35.8 Italian_North
6.1 Kumyk

[Vasilious]

Me

Target: Vasil_scaled
Distance: 2.1734% / 0.02173390 | R2P
59.8 Romanian
40.2 Italian_Abruzzo

My Friend

Target: Aleksander_scaled
Distance: 2.0581% / 0.02058130 | R2P
50.4 Greek_Thessaly
49.6 Macedonian

[17571imre]

individual g25 scaled result:

very good for me:


Target: mh_scaled
Distance: 0.2613% / 0.00261294 | R4P
45.4 Polish
26.8 Greek_Peloponnese
17.7 Dutch
10.1 Sardinian

[IceQueen]

Modern individual G25

Distance: 1.2841% / 0.01284139 | R5P
39.1 Irish
20.6 Orcadian
16.9 Icelandic
15.7 Dutch
7.7 German

Target: IceQueen_scaled
Distance: 1.2953% / 0.01295295 | R4P
40.9 Irish
25.7 Orcadian
16.7 Dutch
16.7 Icelandic

Target: IceQueen_scaled
Distance: 1.3283% / 0.01328341 | R3P
52.3 Irish
26.5 Orcadian
21.2 Dutch

Target: IceQueen_scaled
Distance: 1.4217% / 0.01421695 | R2P
69.9 Irish
30.1 Orcadian

[alexmegas777]

K13
Target: alexmegas(Romanian)
Distance: 167.3947% / 1.67394651 | R3P
70.4 Bulgaria_Northeastern
21.0 French_Basque
8.6 Southwest_Finnish

Target: alexmegas(Romanian)
Distance: 110.1567% / 1.10156664 | R4P
39.4 Greek_Eastern-Macedonia
30.4 Southwest_French
22.0 Southwest_Finnish
8.2 Georgian

Target: alexmegas(Romanian)
Distance: 101.2826% / 1.01282573 | R5P
42.4 Southwest_French
16.2 Greek_Chios
15.0 Southwest_Finnish
14.0 Belorussian
12.4 Laz
K15
Target: alexmegas(Romanian)
Distance: 466.4135% / 4.66413523 | R3P
62.2 Romania_Sw
28.6 French_Basque
9.2 North_Ossetian

Target: alexmegas(Romanian)
Distance: 435.1289% / 4.35128893 | R4P
52.8 Spanish_Castilla_Y_Leon
18.4 Bulgarian_Thracian
16.0 Lithuanian
12.8 North_Ossetian

Target: alexmegas(Romanian)
Distance: 397.3859% / 3.97385929 | R5P
35.6 Spanish_Castilla_Y_Leon
22.8 Bulgarian_Thracian
16.4 Lithuanian
13.0 North_Ossetian
12.2 French_Basque

[Dušan]

JTest
Target: Dušan
Distance: 3.7683% / 3.76827611 | R2P
67.0 Romanian
33.0 Ukrainian


Dodecad K7b
Target: Dušan
Distance: 0.7177% / 0.71774476 | R2P
59.2 Hungarians
40.8 Bulgarians

[Dušan]

Nice fit :)

Target: Dušan
Distance: 1.0416% / 1.04155091 | R5P
45.8 Belarusian_Minsk
18.9 Sardinia
14.7 Erzya_Mordovian
12.2 Greek_Northern-Thrace
8.4 Greek_Trabzon

[tipirneni]

Target: Tipirneni
Distance: 1.0524% / 0.01052439 | R5P
74.0 IRN_Shahr_I_Sokhta_BA2:I8728
13.4 IRN_Shahr_I_Sokhta_BA2:I11459
4.4 NPL_Mebrak_2125BP:M63
3.2 VK2020_SWE_Gotland_VA:VK464
2.6 MAR_Taforalt:TAF010
2.4 TUR_Ikiztepe_LC:IKI024