Explore Your DNA

[Небојша]

Већина вероватно користи овај сајт, згодан је зато што су објединили више калкулатора и алата на једном месту. Недавно су убацили и мапе старе Y-DNA и mtDNA. 

https://www.exploreyourdna.com/

За аутосомалну, најбоље је имати праве G25 координате (15e код Davidskog). Ко нема, може да користи симулацију K36 > G25, али то нису прави резултати, често су и дистанце мање, зато што код симулација калкулатор углавном "испегла" резултат да се најбоље уклапа. 


Од алата бих издвојио:

1. Second Parent

Ако имате своје резултате и резултате једног родитеља, лако можете добити G25 резултат другог родитеља. Иако је то симулација, вероватно доста верно приказује резултат, будући да су ово координате, геометрија-математика. Није admixture, где компоненте не морају равномерно да се наслеђују од сваког родитеља. Нпр. ја имам свој и мајчин прави G25, па сам израчунао и очев, који могу да користим у калкулаторима. Дистанце за Secon Parent су углавном мало веће, што је вероватно нормално.


2. Simulate Your Grandparents

Условно, симулација предака - деде, прадеде, бабе, прабабе (али углавном 4 претка). Заправо покушај да вас калкулатор одреди кроз четири тачке.


3. G25 Analyzer

Класичан G25 рачунач. Одређује најмању дистанцу у односу на модерне популације, а затим описује вашу позицију кроз више других популација.


4. Phylogenetic Dendrogram

Интересантан алат, који кроз стабло описује вашу позицију, а испод приказује 20 (или 30) популација-просека са којима имате најмању дистанцу.


5. Similarity Map

Мапа са најближим просецима и листа истих


Моји резултати:










Мајчини резултати:










Очеви резултати:










Прилично очекивани резултати, с обзиром на порекло. Сви смо у оквиру неког српског просека, с тим што мајка гравитира истоку Балкана, отац благо западним областима, а ја сам негде на централној позицији.

За оца ме мало чуди да нема више немачких просека у својим резултатима, будући да му је мајка највећим делом немачког порекла. Моја је претпоставка да ти јужни Немци нису PCA позицијом далеко од динарских Срба, а генерално имају скроман словенски уплив, па га зато G25 не баца превише ка северу, чак ни према Хрватима, Мађарима и Словенцима, него га држи стабилно међу динарским Србима.

[Душан]

[Небојша]

Убацили су нови алат: Ethnicity Guesser (2,607 populations)

Баш иду на "шминку", када користиш преко телефона избаци ти резултат са све српском заставом. Али ако су им просеци, тј. реферетни узорци ок, а требало би да јесу, нов је програм, онда је примамљив за употребу, пошто само треба копирати своје G25 координате.

G25 праве координате


А што су нашли да ме опишу кроз Геге и херцеговачке Хрвате, нису могли наћи веће непријатеље Срба.






Мајка (G25 праве координате)





Отац (Second Parent симулатор)




За оца поузданост већ није велика и дистанце су такође веће. Два су разлога, у питињу је симулација Second Parent (даје вероватно приближну слику) и притом мешовито порекло. У сваком случају овакве координате га држе у оквиру западнобалканског кластера.

[Душан]

Колико видим, Молдавце су уврстили у Румуне.

[Dime Dimeski]

🔀 Mixed Ancestry Detected — Best 50/50 Combinations
These are the best-fitting combinations when modeling you as a mix of two populations from different nationalities. A low distance (<0.015) with a balanced ratio suggests possible mixed ancestry.

#1
56.3%
🇮🇹 Italian_Tuscany
+
43.7%
🇲🇰 Macedonian
0.0080
#2
60.6%
🇮🇹 Italian_Northeast
+
39.4%
🇬🇷 Greek_Macedonia
0.0087
#3
59.0%
🇮🇹 Italian_Friuli_(Friulian)_(n=18)
+
41.0%
🇬🇷 Greek_Macedonia
0.0087
#4
52.9%
🇲🇰 Macedonian
+
47.1%
🇬🇷 Greek_Thessaly
0.0091
#5
59.1%
🇦🇱 Albanian_Gheg_Montenegro_(n=6)
+
40.9%
🇬🇷 Greek_Eastern_Macedonia_and_Thrace_(n=9)
0.0098
🔍 20 Closest Populations (Raw)
#   Population   Nationality   Distance
1   Macedonian_North_Macedonia_(n=32)   🇲🇰 Macedonian   0.0103
2   Greek_Eastern_Macedonia_and_Thrace_(n=9)   🇬🇷 Greek   0.0126
3   Vlach_Aromanian_Greece_(n=7)   —   0.0139
4   Albanian_Gheg_Montenegro_(n=6)   🇦🇱 Albanian   0.0151
5   Albanian_Gheg_Kosovo_(n=34)   🇦🇱 Albanian   0.0156
6   Torbeši_Polog   —   0.0157
7   Greek_Central_Macedonia   🇬🇷 Greek   0.0165
8   Pomak_Almopia_Plain   —   0.0166
9   Greek_Central_Macedonia_(n=38)   🇬🇷 Greek   0.0172
10   Torbesi_North_Macedonia_(n=2)   —   0.0181
11   Greek_Eastern_Rumelia/Northern_Thrace_(n=14)   🇬🇷 Greek   0.0182
12   Greek_Macedonia   🇬🇷 Greek   0.0182
13   Turkish_Balkans_(Balkan_Profile)_(n=7)   🇹🇷 Turkish   0.0187
14   Albanian   🇦🇱 Albanian   0.0188
15   Moldovan_Stefan_Voda_(n=10)   🇷🇴 Romanian   0.0199
16   Pomak_Greece_(n=11)   —   0.0202
17   Greek_East_Macedonia_and_Thrace   🇬🇷 Greek   0.0206
18   Greek_Thessaly_(n=12)   🇬🇷 Greek   0.0208
19   Albanian_Gheg_Serbia_(n=3)   🇦🇱 Albanian   0.0209
20   Rumelia_East   —   0.0212

[Небојша]

Simulated G25 Analyzer је сигурно најинтересантнији алат на Explore Your DNA. Доноси све оно што нам треба од G25. Којој смо модерној популацији најближи и у 2-Way Mixture Analysis које две популације најбоље описују наш положај.

Потребно је копирати Scaled координате: https://www.exploreyourdna.com/Tools/SimulatedG25Analyzer

Поставите првих 10 најближих популација и првих 10 у 2-Way. 4-Way и више може већ да доведе до појаве шума, али и евентуално боље ухвати различите утицаје.

Ако се пошљу координате њима директно (Advanced Ancestry Report) по правилу ће наћи још боље 2-Way уклапање (мања дистанца), зато што им је већа база него на сајту. Мој резултат доста добро описује моје порекло.

Срби углавном добијају модел неке балканске популације (Срби, Македонци, Грци) + Источни Словени и/или Балти.

Closest Modern Populations (Top 50)
#   Population   Distance
1   Serbian   0.0197
2   Macedonian   0.0230
3   Montenegrin   0.0233
4   Romanian   0.0235
5   Bulgarian   0.0270
6   Bosnian   0.0277
7   Moldovan   0.0280
8   Croatian   0.0347
9   Italian_Northeast   0.0359
10   Slovenian   0.0389

2-Way Mixture Analysis (Top 50)
Best combinations of two populations to model your ancestry.
#   Mixture   Distance
1   78% Macedonian + 22% German_East   0.0181
2   69% Greek_Thessaly + 31% Lithuanian_SZ   0.0184
3   92% Serbian + 8% Italian_Molise   0.0188
4   67% Greek_Thessaly + 33% Lithuanian_RA   0.0188
5   76% Macedonian + 24% German_Erlangen   0.0188
6   84% Macedonian + 16% Shetlandic   0.0189
7   93% Serbian + 7% Italian_Abruzzo   0.0189
8   90% Serbian + 10% Greek_Thessaly   0.0189
9   91% Serbian + 9% Italian_Tuscany   0.0189
10   79% Macedonian + 21% Czech   0.0189

Њихов извештај:



Модели испод одлично описују моје порекло и то са јако добром дистанцом. Посебно је стабилан микс Грци Пелопонез + Кашуби Пољска.

55.3% Greek_Laconia +  44.7% Polish_Kashubian 0.0171
77.9% Macedonian + 22.1% German_East 0.0181

Срби не добијају Германе у овим моделима. Чини се да су ретки и Западни Словени (евентуално се Пољаци појављују), па ће бити занимљиво видети остале резултате.

[Душан]

Небојша, дођеш ми 15 евра. 


Бесплатно:






"Advanced ancestry report" (15 eur):

[Небојша]

Небојша, дођеш ми 15 евра. 

Бесплатно:




"Advanced ancestry report" (15 eur):

Добро, нашли су ти стабилнији модел на њиховом извештају, иако су дистанце мало веће.  То је оно о чему сам причао, Срби добијају углавном модел: Централни / Јужни Балкан + Источни Словени.

[Душан]

Добро, нашли су ти стабилнији модел на њиховом извештају, иако су дистанце мало веће.  То је оно о чему сам причао, Срби добијају углавном модел: Централни / Јужни Балкан + Источни Словени.

Кад је бал нек је маскембал 

Уплатих и овај други Medieval & Modern Ancestry Report




Нема неке логике.

[Небојша]

Кад је бал нек је маскембал 

Уплатих и овај други Medieval & Modern Ancestry Report




Нема неке логике.

Е, за ово им већ не би дао паре. 

[Небојша]

Мајчин пример:

Closest Modern Populations (Top 50)
#   Population   Distance
1   Macedonian   0.0299
2   Serbian   0.0307
3   Bulgarian   0.0311
4   Romanian   0.0322
5   Moldovan   0.0351
6   Montenegrin   0.0359
7   Bosnian   0.0394
8   Italian_Northeast   0.0434
9   Greek_Macedonia   0.0439
10   Croatian   0.0448

2-Way Mixture Analysis (Top 50)
Best combinations of two populations to model your ancestry.
#   Mixture   Distance
1   75% Greek_Macedonia + 25% Lithuanian_VZ   0.0242
2   62% Greek_Macedonia + 38% Ukrainian_Lviv   0.0243
3   76% Greek_Macedonia + 24% Lithuanian_PZ   0.0243
4   67% Greek_Macedonia + 33% Ukrainian_Sumy   0.0244
5   70% Greek_Macedonia + 30% Russian_Smolensk   0.0245
6   71% Greek_Macedonia + 29% Belarusian   0.0246
7   68% Greek_Macedonia + 32% Ukrainian_Zhytomyr   0.0250
8   52% Greek_Macedonia + 48% Slovenian   0.0252
9   72% Greek_Macedonia + 28% Polish_Kashubian   0.0253
10   68% Greek_Macedonia + 32% Ukrainian_Rivne   0.0254

 

Јако стабилан модел и добро описује јужнословенски аутосомални профил који нагиње централним и источним областима Балкана. Грчка Македонија у овом случају представља старобалканску основу уз одређени словенски утицај, док су Литванци и Украјиници мање више чист балто-словенски уплив.

[Filipi1]

1.Bosnian   0.0094
2   Serbian   0.0134
3   Moldovan   0.0149
4   Croatian   0.0150
5   Montenegrin   0.0165
6   Slovenian   0.0186
7   Hungarian   0.0227
8   Romanian   0.0242
9   Austrian   0.0250
10   Macedonian   0.0288
11   Ukrainian_Zakarpattia   0.0297
12   German_Erlangen


Mixture   Distance
1   75% Serbian + 25% Czech   0.0062
2   59% Serbian + 41% Slovenian   0.0062
3   72% Montenegrin + 28% Ukrainian_Lviv   0.0065
4   53% Serbian + 47% Croatian   0.0066
5   77% Serbian + 23% Ukrainian_Lviv   0.0067
6   81% Serbian + 19% Polish   0.0068
7   89% Serbian + 11% Lithuanian_PZ   0.0070
8   85% Serbian + 15% Russian_Smolensk   0.0070
9   83% Serbian + 17% Ukrainian_Zhytomyr   0.0071
10   89% Serbian + 11% Estonian   0.0071
11   88% Serbian + 12% Lithuanian_VZ   0.0071
12   72% Serbian + 28% Ukrainian_Zakarpattia   0.0072
13   79% Romanian + 21


German_East + Bosnian + Serbian + Macedonian   0.0059
2   Bosnian + Ukrainian_Chernihiv + Montenegrin + Italian_Liguria   0.0076
3   Italian_Tuscany + Romanian + Latvian + Bosnian   0.0077
4   Montenegrin + Italian_Northeast + Bosnian + Russian_Orel   0.0078
5   Albanian + German_Hamburg + Russian_Smolensk + Macedonian   0


1.Sorb_Niederlausitz + Ukrainian_Zhytomyr + Italian_Apulia + Montenegrin + Italian_Lombardy + Russian_Smolensk + Lithuanian_PZ + Italian_Apulia   0.0089
2   Russian_Tver + Bulgarian + Lithuanian_VZ + Dutch + Italian_Piedmont + Macedonian + Slovenian + Greek_Peloponnese   0.0098
3   Greek_Cappadocia + Sorb_Niederlausitz + Greek_Laconia + Serbian + Russian_Orel + Lithuanian_SZ + Belarusian + Spanish_Eivissa   0.0121
4   Russian_Smolensk + Macedonian + Italian_Molise + Czech + Italian_Lazio + Austrian + Lithuanian_SZ + Russian_Orel   0.0123
5   Bulgarian + Russian_Orel + Greek_Laconia + Estonian + Romanian + Ukrainian_Chernihiv + Greek_Crete + Slovenian   0.0123
6   Sicilian_East + Lithuanian_RA + Russian_Ryazan + Russian_Yaroslavl + Serbian + Russian_Kaluga + Italian_Abruzzo + Italian_Bergamo   0.0133
7   Spanish_Cataluna + Lithuanian_RA + Slovakian + Greek_Macedonia + Ukrainian_Dnipro + Sorb_Niederlausitz + Italian_Bergamo + Romanian   0.0136
8   German_Hamburg + Ukrainian_Sumy + Greek_Izmir + Lithuanian_RA + Spanish_Navarra + Lithuanian_VZ + Greek_Izmir + Italian_Campania   0.0139
9   Spanish_Murcia + Bosnian + Spanish_Baleares + Macedonian + Ukrainian_Dnipro + Italian_Veneto + Russian_Orel + Lithuanian_RA   0.0142
10   Lithuanian_PZ + Greek_Peloponnese + Ukrainian_Rivne + German_Erlangen + Rumelia_East + Italian_Lazio + Welsh + German_East   0.0142
🧬 16-Way Equal Share Analysis (6.25% each)

[Небојша]

1.Bosnian   0.0094
2   Serbian   0.0134
3   Moldovan   0.0149
4   Croatian   0.0150
5   Montenegrin   0.0165
6   Slovenian   0.0186
7   Hungarian   0.0227
8   Romanian   0.0242
9   Austrian   0.0250
10   Macedonian   0.0288
11   Ukrainian_Zakarpattia   0.0297
12   German_Erlangen


Mixture   Distance
1   75% Serbian + 25% Czech   0.0062
2   59% Serbian + 41% Slovenian   0.0062
3   72% Montenegrin + 28% Ukrainian_Lviv   0.0065
4   53% Serbian + 47% Croatian   0.0066
5   77% Serbian + 23% Ukrainian_Lviv   0.0067
6   81% Serbian + 19% Polish   0.0068
7   89% Serbian + 11% Lithuanian_PZ   0.0070
8   85% Serbian + 15% Russian_Smolensk   0.0070
9   83% Serbian + 17% Ukrainian_Zhytomyr   0.0071
10   89% Serbian + 11% Estonian   0.0071
11   88% Serbian + 12% Lithuanian_VZ   0.0071
12   72% Serbian + 28% Ukrainian_Zakarpattia   0.0072
13   79% Romanian + 21

Јесу ли ово Scaled координате или Unscaled (симулација). Овакве дистанце и тзв. "пеглање" резултата су много типичнији за симулацију са K36 и др.

[Filipi1]

Јесу ли ово Scaled координате или Unscaled (симулација). Овакве дистанце и тзв. "пеглање" резултата су много типичнији за симулацију са K36 и др.

Vjerovatno Unscaled. Tako su mi poslali prosle godine.

[Небојша]

Ко је у могућности, најбоље да поручи праве координате код Давидског (15 евра). Резултати су много вернији и ближи некој реалној позицији на G25, иако дистанце знају бити мало веће него са симулираним координатама.

https://g25requests.app/

Потребно је имати RAW са FTDNA, 23andMe (старе верзије), Ancestry, MyHeritage. Савет, избегавајте новије верије 23andMe (v5 и др.), зато што SNP-ови нису превише компатибилни са G25, па долази до појаве шума.

Добра је опција спојити RAW из више компанија (ко је тестиран преко више фирми) у један јединствени Superkit (преко милион SNP-ова). То се може урадити на: https://www.exploreyourdna.com/Superkit, а може и бесплатно преко DNA KIt Studio (RAW Merge).

[OneLove]

Ко је у могућности, најбоље да поручи праве координате код Давидског (15 евра). Резултати су много вернији и ближи некој реалној позицији на G25, иако дистанце знају бити мало веће него са симулираним координатама.

https://g25requests.app/

Потребно је имати RAW са FTDNA, 23andMe (старе верзије), Ancestry, MyHeritage. Савет, избегавајте новије верије 23andMe (v5 и др.), зато што SNP-ови нису превише компатибилни са G25, па долази до појаве шума.

Добра је опција спојити RAW из више компанија (ко је тестиран преко више фирми) у један јединствени Superkit (преко милион SNP-ова). То се може урадити на: https://www.exploreyourdna.com/Superkit, а може и бесплатно преко DNA KIt Studio (RAW Merge).

Ako neko zeli da vidi razliku izmedju simuliranih K36-G25 i pravih G25





Target: sample_simulated_g25_scaled
Distance: 1.1649% / 0.01164855
48.0   Balto_Slavic
30.0   Paleo_Balkan
22.0   Eastern_Roman_Anatolian

Target: Real_G25
Distance: 2.5099% / 0.02509940
44.8   Paleo_Balkan
44.6   Balto_Slavic
10.6   Eastern_Roman_Anatolian

[Небојша]

Ко жели нека проба нови калкулатор: Early European Calculator (Scaled)

https://www.exploreyourdna.com/calculator/216/early-european-calculator-by-sandr

Код: [Изабери]

Germanic,0.123926,0.130753,0.063643,0.053182,0.038853,0.021314,0.008262,0.004974,0.002449,-0.003866,-0.004535,0.004916,-0.009130,-0.005401,0.016694,0.006442,-0.003732,0.003582,0.007179,0.006067,0.007323,0.001070,0.002053,0.010026,-0.001336
Celtic,0.127028,0.134841,0.060663,0.048063,0.037119,0.017610,0.004106,0.003811,0.005293,0.004777,-0.005678,0.005541,-0.013977,-0.011765,0.019752,0.002326,-0.008887,0.002277,0.003567,0.002808,0.004824,0.002717,-0.001860,0.004879,-0.001028
Etruscan,0.124989,0.153666,0.036807,-0.012467,0.047636,-0.008191,0.000266,-0.000237,0.022309,0.041955,-0.000973,0.008391,-0.019198,-0.007660,-0.002658,-0.001823,0.005283,0.002128,0.005477,-0.002110,0.000525,0.003730,-0.003097,-0.006969,-0.001028
Early-Slavic,0.129471,0.121707,0.070142,0.064739,0.038239,0.024348,0.007002,0.012762,-0.001401,-0.021031,-0.001969,-0.006265,0.015024,0.020210,-0.009954,0.001262,0.005752,-0.000914,0.001103,0.002823,0.000259,-0.004341,0.006920,-0.006772,-0.001240
Italic,0.126996,0.153481,0.041109,-0.007988,0.047713,-0.005019,0.001643,0.001239,0.021504,0.041473,-0.001236,0.009802,-0.019919,-0.009288,-0.002017,-0.000724,0.003751,0.001021,0.004198,-0.003433,-0.000879,0.003018,-0.003501,-0.005506,-0.000584
Panonnian-Danube,0.129047,0.138620,0.065006,0.038457,0.045239,0.013561,0.000088,0.008942,0.009983,0.004055,-0.000548,0.000684,0.001254,0.000869,-0.004775,0.010143,0.011767,0.000079,0.003189,0.003330,0.004469,-0.000788,0.000901,-0.011206,-0.002702
Finnio-Ugric,0.126344,0.093175,0.087304,0.082850,0.032006,0.024752,0.013454,0.014307,0.007874,-0.029978,-0.000325,-0.006482,0.018397,0.004129,-0.001968,0.009480,-0.002836,-0.000063,0.005342,0.008160,0.007050,-0.001731,0.008966,0.000572,-0.003144
Baltic,0.1324142,0.1252487,0.0944687,0.0996457,0.051189,0.0390447,0.0144533,0.0183068,-0.0025225,-0.0410637,-0.0027605,-0.0173595,0.0349107,0.0378692,-0.0137983,0.0003978,0.0041507,0.000169,0.0015293,0.0035227,-0.0033898,-0.0078518,0.0082372,-0.0142187,-0.0010177
Paleo-Balkanic,0.123008,0.147855,0.023861,-0.015954,0.030195,-0.007191,0.001060,0.000495,0.006273,0.027387,0.000031,0.007595,-0.013702,-0.003935,-0.008290,-0.003921,0.007116,0.001854,0.006836,-0.005574,-0.007092,0.004808,-0.000243,0.004937,-0.004113
Iberian/Occitan,0.114202,0.148161,0.049756,0.005303,0.048612,-0.003306,-0.003236,0.002889,0.025178,0.033490,-0.003552,0.009451,-0.014826,-0.015692,0.009537,0.004817,0.002461,0.000034,-0.001524,0.002512,0.003145,-0.001059,0.000421,-0.004544,-0.001240
Avar,0.042704,-0.374514,0.091613,-0.021495,-0.080668,-0.046419,0.017259,0.024745,0.008927,0.011123,-0.011503,0.000701,-0.004218,0.003188,0.002604,0.001067,0.000382,-0.003404,0.001881,0.011153,-0.023158,-0.005006,-0.019134,-0.002583,0.001635
North-Adriatic(Celto-Germanic),0.121184,0.146369,0.027808,-0.006012,0.032281,-0.001746,0.001020,0.001287,0.009518,0.021683,-0.001905,0.005228,-0.012060,-0.002885,-0.003038,-0.004252,0.000736,0.001176,0.005911,-0.003327,-0.000925,0.002325,-0.000822,0.001909,-0.001576
Alpine(Celto-Germanic),0.125103,0.143266,0.036925,0.010117,0.035250,0.001687,0.001451,0.002937,0.007850,0.012338,-0.002403,0.003338,-0.006093,-0.001254,0.001029,-0.003295,-0.006484,0.002649,0.004484,-0.003349,-0.002197,0.001798,-0.000763,0.003552,-0.001737
Uralic,0.1013025,-0.0766725,0.1170643,0.0798887,-0.0298259,0.0001861,0.0050721,0.0140959,0.0024544,-0.031132,0.0352926,-0.0101536,0.0188426,-0.0285223,-0.0088781,0.0006629,-0.0022493,0.0013407,-0.0062852,-0.0061384,0.0164397,0.0022464,-0.001366,0.0015061,0.0013972
Andalusian,0.10846232,0.14528619,0.036227903,-0.0042094194,0.044226452,-0.0059196129,-0.0023120968,0.0026797097,0.024160129,0.031814871,-0.0020167742,0.0064393226,-0.012664806,-0.011768935,0.0096098387,-0.0011890968,-0.0054845806,-0.0011075161,-0.0041439032,-0.0018112581,0.0024875484,-0.00064222581,-0.0020633871,-0.0039179355,0.0010699355
Hun,0.0515048,-0.3191302,0.0641108,-0.0069445,-0.0483165,-0.0207772,0.0084602,0.0108455,0.0035792,-0.0022322,-0.0300418,-0.003934,0.001784,-0.0038878,0.0035285,0.001624,-0.0013038,-0.0020588,0.001791,0.0085042,-0.0181555,-0.0011128,-0.008165,0.001958,0.0012272
East-Med-Euro,0.105855,0.142174,-0.011691,-0.064277,0.00677,-0.020917,0.00517,-0.004154,0.004295,0.014214,0.008282,0.007044,-0.007136,0.007844,-0.00095,-0.013259,-0.017602,-0.003167,0.013324,-0.004127,-0.004866,-0.008408,0.000123,-0.005422,0.004431
North-African,-0.072847,0.142174,0.003017,-0.072352,0.034776,-0.037371,-0.034312,0.008077,0.08999,0.032985,0.011367,-0.010191,0.027354,-0.016515,0.024701,-0.01485,0.001825,-0.026605,-0.053799,0.008004,-0.015847,-0.044515,0.020829,-0.012532,0.01449
Phoenician,0.0896355,0.1544874,-0.0500626,-0.093024,-0.011579,-0.036186,-0.004377,-0.0089709,0.0143678,0.0110252,0.0088298,-0.0055264,0.0149775,0.0034232,-0.0122656,0.0037456,-0.0024936,0.0012989,0.0037552,-0.0014069,-0.0009982,0.0043125,-0.0051301,0.0010091,-0.0021105
Gaulish:Gaul-North,0.1270172,0.1383606,0.0595081,0.0378503,0.0428651,0.0116907,0.0020814,0.0054536,0.0098547,0.0120128,-0.0044077,0.0064626,-0.0140863,-0.0101756,0.0131205,0.0006034,-0.0074,0.0012385,0.0022497,0.0015594,0.0036696,0.0030636,-0.0027618,0.0011139,-0.0015225
Gaulish:Gaul-Centre,0.1272875,0.1454437,0.0532384,0.0224997,0.046913,0.0075028,0.0020921,0.0046883,0.0175641,0.0239663,-0.002519,0.0075591,-0.0154389,-0.0103318,0.0082557,0.0009055,-0.0042899,0.0019035,0.0030505,-0.0005033,0.0032747,0.0037337,-0.004987,-0.00144,0.0003182
Gaulish:Gaul-South,0.1296284,0.147179,0.0593748,0.0168744,0.0476132,0.0031434,0.0012488,0.003234,0.0203589,0.0342214,-0.0013014,0.009645,-0.0207914,-0.0128814,0.0105182,-0.0016081,-0.0037234,0.0025699,0.0021729,0.0010362,0.0046936,0.0032184,-0.0052979,0.0000208,-0.0010673

[Душан]

Target: Dušan_scaled
Distance: 2.4045% / 0.02404498
40.6   Baltic
40.6   Paleo-Balkanic
18.4   East-Med-Euro
0.4   Avar


Без Балтика

Target: Dušan_scaled
Distance: 2.6732% / 0.02673195
58.4   Early-Slavic
24.6   Paleo-Balkanic
17.0   East-Med-Euro

[Небојша]

Target: Dušan_scaled
Distance: 2.4045% / 0.02404498
40.6   Baltic
40.6   Paleo-Balkanic
18.4   East-Med-Euro
0.4   Avar


Без Балтика

Target: Dušan_scaled
Distance: 2.6732% / 0.02673195
58.4   Early-Slavic
24.6   Paleo-Balkanic
17.0   East-Med-Euro

У Distance ти је претпостављам најближа популација: Alpine(Celto-Germanic).

Не морате да бришете Baltic. Он је природно позциониран северније од Early-Slavic, па је нормално да ће скочити Slavic ако се он уклони, али скоче и дистанце. Претпоставио сам да ће Србе калкулатор најбоље описати са ове три попуације (само у различитој размери): Палео-Балкан, Балтик и Источни Медитеран.

[vuk_883]

Ево додатка од мене чисто нек буде овде