Moldovan/Romanian GEDmatch Results v2

[Ion Basescul]

v1 was getting too big, so I've decided to open a new iteration of this thread.

Eurogenes K13 results:
Blue - Republic of Moldova
Yellow - Moldavia in Romania

Results, averaged by location
https://i.imgur.com/KTcMHfz.png

PCA plot

So after tinkering with the settings for a while, I've stopped on this PCA format, which I will use for all of my current and new samples moving forward.

Here's how it works:



Up = Increase in: Baltic, North Atlantic
Right = Increase in: South Asian, Siberian, East Asian, Amerindian
Down-Right = Increase in: West Asian, Red Sea
Left + Down-Left = Increase in: East Med, West Med




Dot Colours:



Red = Unmixed Romanians/Moldovans from Romania's Moldavia
Blue = Unmixed Romanians/Moldovans from R. Moldova
Green = Unmixed Ethnic Minorities from either country
Black = People of mixed heritage from either country
Gold = Ivano-Frankivsk (Highlander) Ukrainians




Border Colours:



Red = Unmixed Romanians/Moldovans from Romania's Moldavia
Blue = Unmixed Romanians/Moldovans from R. Moldova
Green = All people from R. Moldova
Black = All people from Romania's Moldavia
Gold = Ivano-Frankivs Ukrainians and a mixed Ukrainian/Romanian from Chernivtsi




Label codes correspond to abbreviations for district/county:​



Romania (https://en.wikipedia.org/wiki/Counties_of_Romania)
R. Moldova 1 (https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/MD_vehicle_region_codes.svg/800px-MD_vehicle_region_codes.svg.png) and 2
(https://ro.wikipedia.org/wiki/Organizarea_administrativ-teritorial%C4%83_a_Republicii_Moldova)


Samples surrounded by a white circle are my family, 12=dad, CH_1/2Ukr=mom, 49=brother, 48=me, 17=ZmeyGorynych

https://i.imgur.com/H03qISE.jpg

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

[ixulescu]

... triple post due to lag

[ixulescu]

... del

[ixulescu]

]..

Hi IB,

That PCA from the previous thread was interesting:
https://www.theapricity.com/forum/showthread.php?318490-Moldovan-Romanian-GEDmatch-Resuts&p=6789954&viewfull=1#post6789954

Can you do another PCA with ethnic Romanians from the 3 historic provinces + RM? (4 groups on the PCA)

[Ion Basescul]

Regional model for people from R. Moldova



Moldova_North,25.89,33.33,14.92,8.89,11.43,1.48,0. 65,0.56,1.47,0.35,0.61,0.17,0.26
Moldova_Centre,22.58,29.72,15.61,10.69,15.31,2.00, 0.75,0.75,1.11,0.67,0.51,0.09,0.20
Moldova_South,21.75,24.97,18.02,11.37,18.29,2.55,0 .45,0.42,1.15,0.50,0.32,0.08,0.14


Gagauz,19.35,23.14,17.99,12.57,21.48,2.90,0.52,0.2 5,0.69,0.40,0.64,0.06,0.00


Ukrainian,27.77,43.57,12.05,6.12,5.68,0.16,1.09,0. 91,1.41,0.78,0.28,0.11,0.07
Ukrainian_Lviv,27.35,41.85,11.96,7.10,5.29,1.79,1. 20,0.39,1.36,0.82,0.75,0.00,0.13


Romania_Dobruja-Tatar,12.70,25.39,7.77,11.38,5.82,2.15,2.09,10.20, 20.74,0.91,0.52,0,0.33
Crimean_Tatar,13.17,20.04,7.55,16.36,8.88,1.83,3.2 3,10.25,16.40,1.28,0.47,0.27,0.21


Roma_Unmixed_Moldova,10.85,8.12,13.85,16.55,18.75, 2.37,25.19,1.34,1.65,0.21,0.52,0.58,0
Jewish_Unmixed_Moldova,15.78,6.59,17.02,11.43,37.7 9,7.65,0.00,0.46,0.95,0.00,0.69,1.66,0.00


RU_Pinega,24.715,51.9425,5.045,2.815,0.3925,0.58,1 .58,0.2425,9.9575,1.9575,0.265,0.305,0.225
Russian_Smolensk,28.16,48.47,8.74,5.82,3.83,1.69,1 .38,0.17,0.85,0.43,0.38,0.06,0.01




<tbody>
Distance to:
IonBasescul_23andme+LivingDNA


4.43678938
Moldova_Centre


4.80762935
Moldova_North


8.87733631
Moldova_South


13.18159702
Gagauz


15.51877895
Ukrainian_Lviv


16.99801753
Ukrainian


22.78776645
Russian_Smolensk


24.75758470
Crimean_Tatar


26.00568015
Romania_Dobruja-Tatar


29.61376591
RU_Pinega


35.82082355
Jewish_Unmixed_Moldova


36.68006816
Roma_Unmixed_Moldova

</tbody>


<tbody>
Distance to:
IonBasescul_brother_MyHeritage


4.76840644
Moldova_Centre


5.73422183
Moldova_North


10.01796886
Moldova_South


13.68600380
Gagauz


14.79371150
Ukrainian_Lviv


16.44105228
Ukrainian


21.79302411
Russian_Smolensk


24.15013043
Crimean_Tatar


25.56711169
Romania_Dobruja-Tatar


28.62175888
RU_Pinega


36.20297225
Roma_Unmixed_Moldova


37.16128362
Jewish_Unmixed_Moldova

</tbody>


<tbody>
Distance to:
IonBasescul_dad_MyHeritage


4.93850180
Moldova_North


6.15936685
Moldova_Centre


11.28169314
Moldova_South


13.90689757
Ukrainian_Lviv


15.19900655
Gagauz


15.46755637
Ukrainian


20.95422630
Russian_Smolensk


25.28580827
Crimean_Tatar


26.64727191
Romania_Dobruja-Tatar


27.96492412
RU_Pinega


36.81284151
Roma_Unmixed_Moldova


38.14028448
Jewish_Unmixed_Moldova

</tbody>


<tbody>
Distance to:
IonBasescul_mom_MyHeritage


5.33507263
Moldova_North


6.61517951
Moldova_Centre


12.40934325
Ukrainian_Lviv


12.41558698
Moldova_South


13.68845864
Ukrainian


15.97574411
Gagauz


19.10492083
Russian_Smolensk


26.10057435
RU_Pinega


26.19883776
Crimean_Tatar


26.51100715
Romania_Dobruja-Tatar


38.90043059
Roma_Unmixed_Moldova


39.57889715
Jewish_Unmixed_Moldova



</tbody>



Target: IonBasescul_23andme+LivingDNA
Distance: 2.0041% / 2.00410937 | ADC: 0.25x
69.0 Moldova_North
24.2 Moldova_South
6.8 Crimean_Tatar
0.0 Moldova_Centre
0.0 Gagauz
0.0 Ukrainian
0.0 Ukrainian_Lviv
0.0 Romania_Dobruja-Tatar
0.0 Roma_Unmixed_Moldova
0.0 Jewish_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk

Target: IonBasescul_23andme+LivingDNA
Distance: 2.8334% / 2.83338536 | ADC: 0.25x
69.4 Moldova_North
30.6 Moldova_South

Target: IonBasescul_23andme+LivingDNA
Distance: 3.8416% / 3.84162689 | ADC: 0.25x
85.6 Moldova_Centre
12.2 Ukrainian_Lviv
2.2 Moldova_South

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


Target: IonBasescul_brother_MyHeritage
Distance: 2.9784% / 2.97835041 | ADC: 0.25x
66.8 Moldova_Centre
13.4 Ukrainian_Lviv
11.8 Moldova_North
8.0 Crimean_Tatar
0.0 Moldova_South
0.0 Gagauz
0.0 Ukrainian
0.0 Romania_Dobruja-Tatar
0.0 Roma_Unmixed_Moldova
0.0 Jewish_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk



Target: IonBasescul_brother_MyHeritage
Distance: 3.7714% / 3.77138263 | ADC: 0.25x
84.4 Moldova_Centre
15.6 Ukrainian_Lviv

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

Target: IonBasescul_dad_MyHeritage
Distance: 3.5964% / 3.59639271 | ADC: 0.25x
86.0 Moldova_North
5.4 Crimean_Tatar
4.4 Moldova_Centre
4.2 Roma_Unmixed_Moldova
0.0 Moldova_South
0.0 Gagauz
0.0 Ukrainian
0.0 Ukrainian_Lviv
0.0 Romania_Dobruja-Tatar
0.0 Jewish_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk


Target: IonBasescul_dad_MyHeritage
Distance: 4.3905% / 4.39047723 | ADC: 0.25x
66.6 Moldova_North
33.4 Moldova_Centre

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

Target: IonBasescul_mom_MyHeritage
Distance: 3.4244% / 3.42444197 | ADC: 0.25x
66.8 Moldova_Centre
29.4 Ukrainian
3.8 Crimean_Tatar
0.0 Moldova_North
0.0 Moldova_South
0.0 Gagauz
0.0 Ukrainian_Lviv
0.0 Romania_Dobruja-Tatar
0.0 Roma_Unmixed_Moldova
0.0 Jewish_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk

Target: IonBasescul_mom_MyHeritage
Distance: 4.2132% / 4.21324677 | ADC: 0.25x
51.4 Moldova_South
25.4 Ukrainian
23.2 Ukrainian_Lviv

[Ion Basescul]

Hi IB,

That PCA from the previous thread was interesting:
https://www.theapricity.com/forum/showthread.php?318490-Moldovan-Romanian-GEDmatch-Resuts&p=6789954&viewfull=1#post6789954

Can you do another PCA with ethnic Romanians from the 3 historic provinces + RM? (4 groups on the PCA)

Hi, at some point I will. I have 131 samples from Transylvania and 176 from Wallachia as of today, so I am definitely not ignoring those regions.

[Ion Basescul]

Regional model for people from Moldavia in Romania



Romania_Moldavia_North,24.73,29.80,14.95,9.49,15.2 5,1.63,0.81,0.53,1.32,0.62,0.56,0.17,0.15
Romania_Moldavia_South,23.84,26.94,17.37,9.96,16.3 8,1.78,0.63,0.53,1.13,0.71,0.48,0.09,0.15


Ukrainian_Ivano_Frankivsk,26.18,38.44,13.89,5.43,1 1.20,1.12,1.13,0.20,1.35,0.50,0.20,0.16,0.21
Ukrainian_Lviv,27.35,41.85,11.96,7.10,5.29,1.79,1. 20,0.39,1.36,0.82,0.75,0.00,0.13
Ukrainian_Romania,28.41,35.25,13.07,4.72,13.08,1.8 6,2.00,0.25,0.92,0.00,0.47,0.00,0.00


Romania_Dobruja-Tatar,12.70,25.39,7.77,11.38,5.82,2.15,2.09,10.20, 20.74,0.91,0.52,0,0.33
Crimean_Tatar,13.17,20.04,7.55,16.36,8.88,1.83,3.2 3,10.25,16.40,1.28,0.47,0.27,0.21


Roma_Unmixed_Moldova,10.85,8.12,13.85,16.55,18.75, 2.37,25.19,1.34,1.65,0.21,0.52,0.58,0
Jewish_Unmixed_Romania,16.70,7.80,17.96,11.23,35.7 9,6.25,1.06,0.55,0.92,0.27,0.79,0.54,0.17




<tbody>
Distance to:
Nurzat_1/2Vaslui_1/2Ukrainian


4.85455456
Romania_Moldavia_North


6.95719052
Romania_Moldavia_South


9.34632013
Ukrainian_Romania


14.08626636
Ukrainian_Lviv


15.52573348
Ukrainian


26.35406989
Crimean_Tatar


27.49823994
Romania_Dobruja-Tatar


35.27873155
Jewish_Unmixed_Romania


37.38228992
Roma_Unmixed_Moldova

</tbody>

Target: Nurzat_1/2Vaslui_1/2Ukrainian
Distance: 3.0694% / 3.06936117 | ADC: 0.25x
67.6 Romania_Moldavia_South
30.0 Ukrainian_Lviv
2.4 Crimean_Tatar
0.0 Romania_Moldavia_North
0.0 Ukrainian_Ivano_Frankivsk
0.0 Ukrainian_Romania
0.0 Romania_Dobruja-Tatar
0.0 Roma_Unmixed_Moldova
0.0 Jewish_Unmixed_Romania

Target: Nurzat_1/2Vaslui_1/2Ukrainian
Distance: 4.1419% / 4.14191400 | ADC: 0.25x
56.6 Romania_Moldavia_South
38.6 Ukrainian_Ivano_Frankivsk
4.8 Crimean_Tatar


Target: Nurzat_1/2Vaslui_1/2Ukrainian
Distance: 4.9438% / 4.94375030 | ADC: 0.25x
55.2 Romania_Moldavia_South
39.0 Ukrainian_Romania
5.8 Crimean_Tatar

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


<tbody>
Distance to:
WeirdLookingFellow_GF_1/2Vaslui_1/2Galati


2.95961146
Romania_Moldavia_South


6.11662489
Romania_Moldavia_North


10.94240833
Csango_Romania


13.87762588
Ukrainian_Romania


21.66270297
Ukrainian_Lviv


22.81176889
Ukrainian


27.03003145
Crimean_Tatar


27.46165873
Jewish_Unmixed_Romania


29.37910822
Romania_Dobruja-Tatar


34.72625232
Roma_Unmixed_Moldova

</tbody>

Target: WeirdLookingFellow_GF_1/2Vaslui_1/2Galati
Distance: 2.6924% / 2.69244551 | ADC: 0.25x
96.4 Romania_Moldavia_South
3.6 Jewish_Unmixed_Romania
0.0 Romania_Moldavia_North
0.0 Ukrainian
0.0 Ukrainian_Lviv
0.0 Ukrainian_Romania
0.0 Romania_Dobruja-Tatar
0.0 Crimean_Tatar
0.0 Roma_Unmixed_Moldova
0.0 Csango_Romania

[andre]

Distance to: Andre
3.97863042 Romania_Moldavia_South
4.92443905 Romania_Moldavia_North
5.58656704 Hungarian_Csango
11.41496824 Ukrainian_Romania
14.01162018 Ukrainian_Ivano_Frankivsk
20.36039047 Ukrainian_Lviv
26.89547546 Crimean_Tatar
27.60262125 Jewish_Unmixed_Romania
28.79982292 Romania_Dobruja-Tatar
34.81215305 Roma_Unmixed_Moldova


Target: Andre
Distance: 2.9620% / 2.96204111 | ADC: 0.5x
56.2 Romania_Moldavia_South
31.8 Hungarian_Csango
6.8 Romania_Moldavia_North
5.2 Jewish_Unmixed_Romania

[Ion Basescul]

Distance to: Andre
3.97863042 Romania_Moldavia_South
4.92443905 Romania_Moldavia_North
5.58656704 Hungarian_Csango
11.41496824 Ukrainian_Romania
14.01162018 Ukrainian_Ivano_Frankivsk
20.36039047 Ukrainian_Lviv
26.89547546 Crimean_Tatar
27.60262125 Jewish_Unmixed_Romania
28.79982292 Romania_Dobruja-Tatar
34.81215305 Roma_Unmixed_Moldova


Target: Andre
Distance: 2.9620% / 2.96204111 | ADC: 0.5x
56.2 Romania_Moldavia_South
31.8 Hungarian_Csango
6.8 Romania_Moldavia_North
5.2 Jewish_Unmixed_Romania

I recommend running the model at 0.25x with all references once. Then to have a second run at 0.25x with only those references that are relevant for your ancestry. In your case those would be Romania Moldavia South, Romania Transylvania, Csango and Jewish.

[Aspirin]

Acela din Fălești nu trebuia să-l pui la Fălești, luînd în calcul că doar parțial e din raion, plus partea locală e dubioasă, fiind originar dintr-un sat ucrainean la origine.

[Ion Basescul]

Acela din Fălești nu trebuia să-l pui la Fălești, luînd în calcul că doar parțial e din raion, plus partea locală e dubioasă, fiind originar dintr-un sat ucrainean la origine.

Nu lua tare in serios, de exemplu mostra din Rezina tot e dubioasa, considerand cat North Atlantic are. Cand voi avea un reprezentativ curat din Falesti (wink wink), persoana ceea va fi scoasa de acolo si inclusa in categoria Chisinau. Cei care-s amestecaturi din mai multe raioane, eu ii adaug la Chisinau.

[Aspirin]

Nu lua tare in serios, de exemplu mostra din Rezina tot e dubioasa, considerand cat North Atlantic are. Cand voi avea un reprezentativ curat din Falesti (wink wink), persoana ceea va fi scoasa de acolo si inclusa in categoria Chisinau. Cei care-s amestecaturi din mai multe raioane, eu ii adaug la Chisinau.

O parte e originară din Băcioi, lîngă Chișinău, așa că n-are sens să-l pui la Fălești. Ai post două rezultate 23andme din Fălești, măcar știi ce familii au?

[Ion Basescul]

O parte e originară din Băcioi, lîngă Chișinău, așa că n-are sens să-l pui la Fălești. Ai post două rezultate 23andme din Fălești, măcar știi ce familii au?

Lasa-l ca placeholder, nu-i incurca nimanui. Poti sa inchizi ochii daca te deranjeaza.
Si normal ca stiu, si inca ti-am aratat toate familiile de pe 23andme.

[Aspirin]

Si normal ca stiu, si inca ti-am aratat toate familiile de pe 23andme.

Chiar că, am uitat. M-am uitat acum și unul din ei precis are origini ucrainești. Familia lui e slavă la origine și se găsește numai în satul Ciolacul Nou, care tot e ucrainean la origine, alături se află Ciolacul Vechi care e moldovenesc, și Pokrovka, un sat mic de ucraineni, un prieten de al meu are origini de acolo, ți-am spus despre el.

[Ion Basescul]

Chiar că, am uitat. M-am uitat acum și unul din ei precis are origini ucrainești. Familia lui e slavă la origine și se găsește numai în satul Ciolacul Nou, care tot e ucrainean la origine, alături se află Ciolacul Vechi care e moldovenesc, și Pokrovka, un sat mic de ucraineni, un prieten de al meu are origini de acolo, ți-am spus despre el.

Nu-i neaparat sa fie slav daca are familie slava. Am si eu rude cu familii care par slave, dar de fapt is moldoveni. Poate ca pe linie paterna s-a mostenit familia si persoana-i de fapt 1/4 sau 1/8 ucraineana, ceea e practic irelevant genetic, in contextul moldovenilor. Cu 40% East Euro nu pare sa fie complet sau macar pe 1/2 ucraineana.

[Aspirin]

Nu-i neaparat sa fie slav daca are familie slava. Am si eu rude cu familii care par slave, dar de fapt is moldoveni. Poate ca pe linie paterna s-a mostenit familia si persoana-i de fapt 1/4 sau 1/8 ucraineana, ceea e practic irelevant genetic, in contextul moldovenilor. Cu 40% East Euro nu pare sa fie complet sau macar pe 1/2 ucraineana.

În cazul dat nu cred, la mine în raion îs 4 hotspot-uri de colonii ucrainești, Ciolacul Nou, Pokrovka și Făgădau formînd unul din ele. Ciolacul Vechi e încloțit din doup părți de Ciolacul Nou și Pokrovka și se vede că s-au mixat, jumătate din familii îs ucrainești la origine, așa și în celelalte două ucrainești se găsesc familii moldovenești, plus mai trebuie de adăugat că aceștia nu-s ucraineni tipici, da îs coloniști din Bucovina de Nord și Pocuția. Eu doar mă împart cu informația de la fața locului că știu destul de bine tabloul etnic al raionului. Însă poți să ai dreptate parțial dacă această persoană e din oraș, sau dacă are origini din Ciolacul Vechi sau alte sate moldovenești învecinate.

[Ion Basescul]

În cazul dat nu cred, la mine în raion îs 4 hotspot-uri de colonii ucrainești, Ciolacul Nou, Pokrovka și Făgădau fărmînd unul din ele. Ciolacul Vechi e încloțit din doup părți de Ciolacul Nou și Pokrovka și se vede că s-au mixat, jumătate din familii îs ucrainești la origine, așa și în celelalte două ucrainești se găsesc familii moldovenești, plus mai trebuie de adăugat că aceștia nu-s ucraineni tipici, da îs coloniști din Bucovina de Nord și Pocuția. Eu doar mă împart cu informația de la fața locului că știu destul de bine tabloul etnic al raionului. Însă poți să ai dreptate parțial dacă această persoană e din oraș, sau dacă are origini din Ciolacul Vechi sau alte sate moldovenești învecinate.

Da, totul e posibil, vezi ca persoana data a listat doar o familie si la originea celor 4 bunei a ales "Falesti District". Deci poate ca pe 1/4 e ucraineana, dar pe 3/4 nu stim ce e. Plus la asta, persoana data e o femeie, deci familia ar putea sa-i apartina sotului, daca-i maritata.

[Aspirin]

Da, totul e posibil, vezi ca persoana data a listat doar o familie si la originea celor 4 bunei a ales "Falesti District". Deci poate ca pe 1/4 e ucraineana, dar pe 3/4 nu stim ce e. Plus la asta, persoana data e o femeie, deci familia ar putea sa-i apartina sotului, daca-i maritata.

Poate să fie, iaca la aceea că poate să fie familia soțului nu m-am gîndit. Ceva similar cu un rezultat dat de tine din Ivano Frankivsk, unde persoana avea familie spaniolă sau italiană, după care mi-am dat seama că e măritată în America, că am găsit prin google destul de repede locul ei de naștere și familia reală.

[Ion Basescul]

Poate să fie, iaca la aceea că poate să fie familia soțului nu m-am gîndit. Ceva similar cu un rezultat dat de tine din Ivano Frankivsk, unde persoana avea familie spaniolă sau italiană, după care mi-am dat seama că e măritată în America, că am găsit prin google destul de repede locul ei de naștere și familia reală.

A, Tomasciuc, nu unii oameni prefera sa-si ascunda identitatea, dar se poate de gasit dupa email.

[Ion Basescul]

1/4 Hincesti, 1/4 Edinet and 1/2 Russian from Izmail, Ukraine

Admix Results (sorted):


<tbody>
#
Population
Percent


1
Baltic
37.75


2
North_Atlantic
24.12


3
East_Med
14.93


4
West_Med
12.57


5
West_Asian
3.55


6
Amerindian
3.17


7
Red_Sea
2.29


8
South_Asian
0.71


9
Siberian
0.48


10
East_Asian
0.43

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Croatian
7.57


2
Moldavian
8.48


3
Ukrainian_Lviv
10.39


4
Hungarian
10.75


5
Ukrainian
10.82


6
South_Polish
11.27


7
Serbian
11.82


8
Southwest_Russian
12.81


9
Polish
13.55


10
Ukrainian_Belgorod
13.73


11
Romanian
14.65


12
Estonian_Polish
14.65


13
Russian_Smolensk
14.81


14
East_German
15.15


15
Belorussian
15.28


16
Austrian
15.38


17
Bulgarian
15.98


18
Kargopol_Russian
17.17


19
Erzya
18.52


20
Southwest_Finnish
19.32

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

69.3%
Estonian_Polish
+
30.7%
Ashkenazi
@
4.04


2

73.6%
Estonian_Polish
+
26.4%
Italian_Jewish
@
4.11


3

62.2%
Lithuanian
+
37.8%
Ashkenazi
@
4.16


4

67.1%
Lithuanian
+
32.9%
Italian_Jewish
@
4.21


5

73.6%
Estonian_Polish
+
26.4%
Algerian_Jewish
@
4.26


6

67.1%
Lithuanian
+
32.9%
Algerian_Jewish
@
4.4


7

68.4%
Belorussian
+
31.6%
Ashkenazi
@
4.46


8

72.8%
Belorussian
+
27.2%
Algerian_Jewish
@
4.52


9

72.9%
Belorussian
+
27.1%
Italian_Jewish
@
4.62


10

75.2%
Estonian_Polish
+
24.8%
Tunisian_Jewish
@
4.64


11

75.3%
Estonian_Polish
+
24.7%
Libyan_Jewish
@
4.68


12

74%
Estonian_Polish
+
26%
Sephardic_Jewish
@
4.69


13

62.9%
Estonian_Polish
+
37.1%
Greek_Thessaly
@
4.88


14

67.4%
Lithuanian
+
32.6%
Sephardic_Jewish
@
4.94


15

69.4%
Russian_Smolensk
+
30.6%
Ashkenazi
@
4.95


16

61.9%
Belorussian
+
38.1%
Greek_Thessaly
@
4.99


17

85.6%
Ukrainian
+
14.4%
Yemenite_Jewish
@
5


18

68.9%
Lithuanian
+
31.1%
Tunisian_Jewish
@
5.01


19

71.7%
Estonian_Polish
+
28.3%
South_Italian
@
5.02


20

62.5%
Estonian
+
37.5%
Ashkenazi
@
5.04

</tbody>


Horrible fit



Target: Mixed
Distance: 7.0836% / 7.08356937 | ADC: 0.25x
49.6 Moldova_Centre
34.6 Southwest_Russian
11.0 Ukrainian
4.8 Gagauz
0.0 Moldova_North
0.0 Moldova_South
0.0 Bulgarian
0.0 Ukrainian_Lviv
0.0 Romania_Dobruja-Tatar
0.0 Crimean_Tatar
0.0 Roma_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk
0.0 Kargopol_Russian

Looks better with Jews added in, probably due to the high East Med for a halfie, but they don't have any Jewish hints in the family tree, nor do I see any Jewish matches at 10+ cM.

Target: Mixed
Distance: 5.5429% / 5.54288268 | ADC: 0.25x
58.2 Ukrainian
21.2 Southwest_Russian
20.6 Jewish_Unmixed_Moldova
0.0 Moldova_North
0.0 Moldova_Centre
0.0 Moldova_South
0.0 Gagauz
0.0 Bulgarian
0.0 Ukrainian_Lviv
0.0 Romania_Dobruja-Tatar
0.0 Crimean_Tatar
0.0 Roma_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk
0.0 Kargopol_Russian

[Ion Basescul]

Soroca Jew
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
18.03
9.27
18.63
10.26
34.22
4.58
0
2.06
0
0
0.70
2.25
0

</tbody>
</google-sheets-html-origin>
Chisinau Jew
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
12.70
12.29
18.18
11.81
36.58
6.51
0.11
1.53
0.15
0
0
0.14
0

</tbody>
</google-sheets-html-origin>

[Aspirin]

1/4 Hincesti, 1/4 Edinet and 1/2 Russian from Izmail, Ukraine

Nostoiașii Băsarabeț

[Ion Basescul]

3/4 Moldovan Ukrainian, 1/4 Poltava oblast Ukraine Ukrainian
The Ukrainian side from Moldova comes from 2/4 Danu village, 1/4 Malinovscoe. The line from Danu village migrated to Moldova from from Chernivtsi oblast in Ukraine, at the beginning of the 19th century.

<tbody>
#
Population
Percent


1
Baltic
39.14


2
North_Atlantic
25.5


3
West_Med
13.68


4
West_Asian
10.09


5
East_Med
7.49


6
Siberian
1.75


7
East_Asian
0.75


8
Red_Sea
0.57


9
Oceanian
0.39


10
Sub-Saharan
0.3


11
South_Asian
0.24


12
Northeast_African
0.1

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Croatian
4.54


2
Ukrainian_Lviv
4.94


3
Moldavian
6


4
Ukrainian
6.1


5
South_Polish
6.62


6
Ukrainian_Belgorod
9.25


7
Southwest_Russian
9.28


8
Polish
9.46


9
Hungarian
9.67


10
Russian_Smolensk
10.97


11
Estonian_Polish
11.78


12
Belorussian
12.61


13
East_German
12.69


14
Serbian
12.98


15
Kargopol_Russian
13.18


16
Austrian
13.49


17
Erzya
14.72


18
Romanian
16.28


19
Estonian
16.38


20
Southwest_Finnish
16.39

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

90.2%
Ukrainian
+
9.8%
Georgian
@
2.26


2

90.2%
Ukrainian
+
9.8%
Armenian
@
2.27


3

90.6%
Ukrainian
+
9.4%
Abhkasian
@
2.29


4

61.8%
Moldavian
+
38.2%
Ukrainian_Belgorod
@
2.31


5

88.6%
Ukrainian
+
11.4%
Turkish
@
2.4


6

50.5%
Moldavian
+
49.5%
Ukrainian
@
2.44


7

74.9%
Moldavian
+
25.1%
Lithuanian
@
2.46


8

88.6%
Ukrainian
+
11.4%
Balkar
@
2.47


9

89.4%
Ukrainian
+
10.6%
Ossetian
@
2.48


10

66.2%
Moldavian
+
33.8%
Russian_Smolensk
@
2.49


11

62.2%
Moldavian
+
37.8%
Southwest_Russian
@
2.56


12

90.3%
Ukrainian
+
9.7%
Georgian_Jewish
@
2.58


13

88.9%
Ukrainian
+
11.1%
Adygei
@
2.58


14

56.3%
Ukrainian_Lviv
+
43.7%
Moldavian
@
2.59


15

92.6%
Ukrainian_Lviv
+
7.4%
Armenian
@
2.63


16

88.3%
Ukrainian
+
11.7%
Kabardin
@
2.63


17

79.7%
Croatian
+
20.3%
Erzya
@
2.64


18

88.2%
Ukrainian
+
11.8%
Kumyk
@
2.65


19

92.9%
Ukrainian_Lviv
+
7.1%
Abhkasian
@
2.65


20

89.2%
Ukrainian
+
10.8%
North_Ossetian
@
2.67


</tbody>


<tbody>
Distance to:
3/4MDUkr_1/4PoltavaUA


5.57114889
Ukrainian_Lviv


6.19121151
Ukrainian_Ivano_Frankivsk


6.94096535
Ukrainian


7.32785780
Moldova_North


12.41481776
Russian_Smolensk


12.87198897
Moldova_Centre


18.88596569
Moldova_South


20.38859930
RU_Pinega


22.83558845
Gagauz


29.13727853
Romania_Dobruja-Tatar


30.21163352
Crimean_Tatar


44.40600185
Roma_Unmixed_Moldova


46.24439209
Jewish_Unmixed_Moldova


</tbody>


Target: 3/4MDUkr_1/4PoltavaUA
Distance: 2.9412% / 2.94115666 | ADC: 0.25x
56.0 Ukrainian_Lviv
22.2 Moldova_North
10.2 Moldova_Centre
9.6 Ukrainian
2.0 Crimean_Tatar
0.0 Moldova_South
0.0 Gagauz
0.0 Ukrainian_Ivano_Frankivsk
0.0 Romania_Dobruja-Tatar
0.0 Roma_Unmixed_Moldova
0.0 Jewish_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk



Target: 3/4MDUkr_1/4PoltavaUA
Distance: 2.8850% / 2.88500993 | ADC: 0.25x
64.2 Ukrainian_Lviv
24.8 Moldova_Centre
9.4 Ukrainian
1.6 Crimean_Tatar
0.0 Moldova_South
0.0 Gagauz
0.0 Ukrainian_Ivano_Frankivsk
0.0 Romania_Dobruja-Tatar
0.0 Roma_Unmixed_Moldova
0.0 Jewish_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk

[Ion Basescul]

I'm starting to believe that Transnistrian Russians, at least those who haven't come to the region recently, are only cultural Russian, but genetically anything from Moldovan/Romanian to a mix of nations.

'Member that Transnistrian Russian from Bender/Tighina that someone's donated to me in the old thread and who looked far from being unmixed Russian?

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
19.49
39.49
12.12
12.18
8.25
0
3.82
1.27
0.87
0.89
1.11
0.51
0

</tbody>
</google-sheets-html-origin>
Now I talked to another person, who was also raised Russophone and Russian, in this case Tiraspol, but genetically could pass as a Moldovan from the North.
Luckily, in this case I also have the surname, which is of Moldovan/Romanian origin. So who knows how mixed they are, but at least paternally they should be Moldovan/Romanian.


<tbody>
#
Population
Percent


1
Baltic
33.01


2
North_Atlantic
28.21


3
West_Med
13.51


4
East_Med
9.41


5
West_Asian
8.62


6
South_Asian
2.53


7
Siberian
2.33


8
Red_Sea
1.69


9
Northeast_African
0.44


10
Sub-Saharan
0.25

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Croatian
4.11


2
Moldavian
4.36


3
Hungarian
4.76


4
Serbian
8.19


5
Austrian
8.93


6
East_German
9.04


7
Ukrainian_Lviv
9.08


8
South_Polish
9.46


9
Ukrainian
10.52


10
Romanian
12.01


11
Polish
13.12


12
Southwest_Russian
14.1


13
Ukrainian_Belgorod
14.39


14
Bulgarian
14.53


15
Russian_Smolensk
15.45


16
Estonian_Polish
16.06


17
West_German
16.34


18
Belorussian
16.58


19
Southwest_Finnish
17.15


20
Kargopol_Russian
17.36

</tbody>

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

84.9%
Moldavian
+
15.1%
Danish
@
2.3


2

82.6%
Moldavian
+
17.4%
North_Swedish
@
2.31


3

84.2%
Moldavian
+
15.8%
Swedish
@
2.32


4

83.1%
Moldavian
+
16.9%
North_German
@
2.34


5

85.6%
Moldavian
+
14.4%
Norwegian
@
2.37


6

53%
Moldavian
+
47%
Hungarian
@
2.38


7

85.4%
Moldavian
+
14.6%
North_Dutch
@
2.45


8

70.7%
Moldavian
+
29.3%
East_German
@
2.45


9

86.3%
Moldavian
+
13.7%
Orcadian
@
2.49


10

87.3%
Moldavian
+
12.7%
West_Scottish
@
2.53


11

87%
Moldavian
+
13%
Irish
@
2.58


12

70.9%
Moldavian
+
29.1%
Austrian
@
2.59


13

86.4%
Moldavian
+
13.6%
Southeast_English
@
2.67


14

87.5%
Moldavian
+
12.5%
Southwest_English
@
2.72


15

84.1%
Moldavian
+
15.9%
South_Dutch
@
2.87


16

69.1%
Serbian
+
30.9%
Kargopol_Russian
@
2.9


17

83.4%
Moldavian
+
16.6%
West_German
@
2.97


18

76%
South_Polish
+
24%
Italian_Abruzzo
@
2.98


19

53%
Serbian
+
47%
Ukrainian_Lviv
@
3.01


20

72.9%
Serbian
+
27.1%
East_Finnish
@
3.02


</tbody>


<tbody>
Distance to:
Tiraspol


4.10188981
Moldova_North


9.60079684
Moldova_Centre


10.24145009
Ukrainian_Lviv


11.87092246
Ukrainian


14.84112866
Moldova_South


17.45899482
Russian_Smolensk


19.13915097
Gagauz


24.93225183
RU_Pinega


28.20566255
Crimean_Tatar


28.22675327
Romania_Dobruja-Tatar


39.84608387
Roma_Unmixed_Moldova


41.52381726
Jewish_Unmixed_Moldova


</tbody>

Target: Tiraspol
Distance: 3.5123% / 3.51227425 | ADC: 0.25x
78.0 Moldova_North
19.2 Ukrainian_Lviv
2.8 Roma_Unmixed_Moldova
0.0 Moldova_Centre
0.0 Moldova_South
0.0 Gagauz
0.0 Ukrainian
0.0 Romania_Dobruja-Tatar
0.0 Crimean_Tatar
0.0 Jewish_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk

If I were to remove Moldova_North, assuming that the local Moldovan profile in Tiraspol is more similar to Centre and South
Target: Tiraspol
Distance: 4.4574% / 4.45741077 | ADC: 0.25x
59.0 Ukrainian_Lviv
21.8 Moldova_South
16.0 Moldova_Centre
3.2 Roma_Unmixed_Moldova
0.0 Gagauz
0.0 Ukrainian
0.0 Romania_Dobruja-Tatar
0.0 Crimean_Tatar
0.0 Jewish_Unmixed_Moldova
0.0 RU_Pinega
0.0 Russian_Smolensk




I will count her in my spreadsheet as unmixed Moldovan from Transnistria, just because we don't have anyone else from there. But given that she was raised Russophone and to identify as Russian, she is very likely to be of mixed origin. She is more Northern-shifted than that Bender/Tighina Russian. But she is definitely not of unmixed Russian origin.

[Ion Basescul]

Latest update
(+samples from
1) Soldanesti, Cotiujenii Mari
2) or. Nisporeni
3) Ialoveni, Bardar
4) 5 Jews
5) 3 Ukrainians
6) 1 Roma
7) Transnistrian from above)

https://i.imgur.com/Ypw1bhF.png

[Ion Basescul]

Family's distance to the averages from R. Moldova

https://i.imgur.com/n8EExFE.png
https://i.imgur.com/ZfbLvRJ.png
https://i.imgur.com/vDZhzqE.png
https://i.imgur.com/97jpGpA.png

[Aspirin]

People from Central and North areas still are very homogenous compared to the South after so many samples posted here. I don't think something will change in the future when more and more results will be posted.

[Ion Basescul]

Family's distance to all samples from 1) Moldavia region, 2) R. Moldova

1)
https://i.imgur.com/mNpt5F2.png

2)
https://i.imgur.com/2zNMVS6.png

[Ion Basescul]

People from Central and North areas still are very homogenous compared to the South after so many samples posted here. I don't think something will change in the future when more and more results will be posted.

I think the guys in the South are so too, to the same extent of similarity within the group as those in the Centre and North. There are outliers in every region.

The obvious outliers in the South are Moldova_76_StefanVoda and Moldova_79_StefanVoda, but the rest are pretty close to each other.

https://i.imgur.com/c3dYi1b.png

[Ion Basescul]

From Edinet, family surname seems pretty Moldovan/Romanian to me and the person is Romanophone, but apparently it is the 2nd most popular in Chernivtsi oblast (https://forebears.io/ukraine/chernivtsi-oblast#surnames)

# Population Percent
1 Baltic 31.35
2 North_Atlantic 24.08
3 West_Med 16.41
4 West_Asian 11.3
5 East_Med 10.19
6 Red_Sea 2.94
7 Siberian 2.35
8 Oceanian 1.04
9 Amerindian 0.23
10 Northeast_African 0.12


Single Population Sharing:


# Population (source) Distance
1 Moldavian 3.56
2 Croatian 6.71
3 Serbian 6.94
4 Hungarian 9.05
5 Romanian 9.32
6 Bulgarian 11.21
7 Ukrainian_Lviv 12.06
8 Austrian 12.56
9 East_German 13.31
10 South_Polish 13.54
11 Ukrainian 13.73
12 Polish 16.78
13 Southwest_Russian 16.96
14 Ukrainian_Belgorod 17.07
15 Russian_Smolensk 18.66
16 Tatar 18.92
17 West_German 19.06
18 Estonian_Polish 19.37
19 Greek_Thessaly 19.67
20 Belorussian 20.13


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 92.4% Moldavian + 7.6% Italian_Abruzzo @ 2.87
2 92.8% Moldavian + 7.2% Central_Greek @ 2.91
3 93.9% Moldavian + 6.1% South_Italian @ 2.94
4 95.5% Moldavian + 4.5% Ossetian @ 2.94
5 93.2% Moldavian + 6.8% East_Sicilian @ 2.94
6 92.3% Moldavian + 7.7% Tuscan @ 2.95
7 94.9% Moldavian + 5.1% Turkish @ 2.96
8 93.3% Moldavian + 6.7% West_Sicilian @ 2.97
9 96% Moldavian + 4% Georgian @ 2.98
10 95.2% Moldavian + 4.8% Balkar @ 2.98
11 95.8% Moldavian + 4.2% Sardinian @ 2.99
12 96.3% Moldavian + 3.7% Abhkasian @ 3.01
13 96% Moldavian + 4% Armenian @ 3.01
14 95% Moldavian + 5% Sephardic_Jewish @ 3.01
15 95.2% Moldavian + 4.8% Kabardin @ 3.02
16 92.1% Moldavian + 7.9% North_Italian @ 3.02
17 95.7% Moldavian + 4.3% North_Ossetian @ 3.04
18 91.3% Moldavian + 8.7% Greek_Thessaly @ 3.04
19 82.7% Moldavian + 17.3% Romanian @ 3.04
20 95.7% Moldavian + 4.3% Cyprian @ 3.04



<tbody>
Distance to:
Edinet_ind


4.54684506
Moldova_North


6.01622805
Moldova_Centre


10.14687144
Ukrainian_Ivano_Frankivsk


10.81313091
Moldova_South


13.66578209
Ukrainian_Lviv


14.61045858
Moldova_Gagauz


14.82105597
Moldova_Bulgarian


15.51257232
Ukrainian


21.10153549
Russian_Smolensk


25.85319129
Crimean_Tatar


26.58682568
Romania_Dobruja-Tatar


28.12956330
RU_Pinega


35.36152429
Moldova_Jewish


36.26067705
Moldova_Roma


</tbody>


Target: Edinet_ind
Distance: 3.6308% / 3.63082942 | ADC: 0.25x
83.0 Moldova_North
11.6 Moldova_South
5.4 Crimean_Tatar
0.0 Moldova_Centre
0.0 Moldova_Jewish
0.0 Moldova_Roma
0.0 Romania_Dobruja-Tatar
0.0 Ukrainian
0.0 Ukrainian_Lviv
0.0 Ukrainian_Ivano_Frankivsk
0.0 RU_Pinega
0.0 Russian_Smolensk


<tbody>
Distance to:
Edinet_ind


3.51909079
Moldova_Straseni


4.48138371
Moldova_Glodeni


5.17064793
Moldova_Orhei


5.22603100
Moldova_Ocnita


5.27437200
Moldova_Calarasi


5.63093243
Romania_Moldavia_Suceava


5.69109831
Moldova_Balti


6.00970881
Moldova_Eurogenes


6.28161603
Romania_Moldavia_Botosani


6.31243218
Moldova_Ialoveni


6.56342898
Romania_Moldavia_Csango


6.58572699
Romania_Moldavia_Vaslui


6.58924123
Moldova_Chisinau


6.72878146
Moldova_Transnistria


6.93850128
Moldova_1/2Moldovan_1/2EastSlavic


7.12275228
Romania_Moldavia_Neamt


7.37913952
Moldova_Cimislia


7.57624577
Romania_Moldavia_Iasi


7.69922074
Moldova_Soldanesti


7.75187074
Romania_Moldavia_Bacau


8.06176780
Moldova_Ungheni


8.24074026
Moldova_Falesti


8.34991617
Moldova_Hincesti


8.47509292
Moldova_Nisporeni


8.51269053
Moldova_Edinet

</tbody>


Target: Edinet_ind
Distance: 2.2352% / 2.23515499 | ADC: 0.25x
55.2 Moldova_Straseni
39.0 Moldova_Glodeni
5.8 Moldova_Transnistria

[Ion Basescul]

From Briceni, which makes them the second person from there, after my mom's maternal side



# Population Percent
1 Baltic 32.68
2 North_Atlantic 25.05
3 East_Med 13.32
4 West_Asian 12.66
5 West_Med 12.58
6 East_Asian 1.33
7 Siberian 0.85
8 Amerindian 0.7
9 Sub-Saharan 0.35
10 Northeast_African 0.23
11 Red_Sea 0.16
12 South_Asian 0.1


Single Population Sharing:


# Population (source) Distance
1 Moldavian 4.73
2 Croatian 6.86
3 Serbian 7.26
4 Hungarian 8.45
5 Romanian 9.6
6 Bulgarian 11.3
7 Ukrainian_Lviv 12.07
8 South_Polish 12.67
9 Austrian 12.89
10 Ukrainian 13.21
11 East_German 13.69
12 Ukrainian_Belgorod 15.58
13 Southwest_Russian 15.73
14 Polish 16.23
15 Russian_Smolensk 17.9
16 Estonian_Polish 18.65
17 Belorussian 19.13
18 Tatar 19.34
19 West_German 19.43
20 Kargopol_Russian 19.91


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 78.5% South_Polish + 21.5% Armenian @ 2.64
2 62.8% Ukrainian_Belgorod + 37.2% Italian_Abruzzo @ 2.67
3 62.6% Romanian + 37.4% Ukrainian_Belgorod @ 2.83
4 74.8% South_Polish + 25.2% Turkish @ 2.9
5 78.5% South_Polish + 21.5% Assyrian @ 2.91
6 78.4% South_Polish + 21.6% Georgian_Jewish @ 3.09
7 58.4% Bulgarian + 41.6% Ukrainian_Belgorod @ 3.11
8 85.2% Croatian + 14.8% Kumyk @ 3.15
9 88.9% Croatian + 11.1% Abhkasian @ 3.17
10 86.5% Croatian + 13.5% Azeri @ 3.17
11 87.7% Croatian + 12.3% Kurdish @ 3.17
12 88.1% Croatian + 11.9% Armenian @ 3.2
13 88.5% Croatian + 11.5% Georgian @ 3.27
14 88.1% Croatian + 11.9% Georgian_Jewish @ 3.32
15 85.9% Croatian + 14.1% Turkish @ 3.34
16 86.6% Croatian + 13.4% Adygei @ 3.37
17 86.1% Croatian + 13.9% Lezgin @ 3.43
18 79.4% South_Polish + 20.6% Kurdish_Jewish @ 3.44
19 86.5% Croatian + 13.5% Balkar @ 3.44
20 88.3% Croatian + 11.7% Assyrian @ 3.44



<tbody>
Distance to:
Briceni_ind


5.28367296
Moldova_North


6.03320810
Moldova_Centre


9.82607755
Ukrainian_Ivano_Frankivsk


11.54358696
Moldova_South


13.81472403
Ukrainian_Lviv


14.79913849
Moldova_Gagauz


15.13473819
Ukrainian


15.88298146
Moldova_Bulgarian


20.40279883
Russian_Smolensk


26.34656904
Crimean_Tatar


27.73568279
Romania_Dobruja-Tatar


27.93108360
RU_Pinega


34.94860798
Moldova_Jewish


36.51686049
Moldova_Roma


</tbody>


Target: Briceni_ind
Distance: 4.3497% / 4.34971474 | ADC: 0.25x
51.6 Moldova_Centre
36.4 Moldova_North
9.8 Ukrainian
2.2 Crimean_Tatar
0.0 Moldova_South
0.0 Moldova_Jewish
0.0 Moldova_Roma
0.0 Romania_Dobruja-Tatar
0.0 Ukrainian_Lviv
0.0 Ukrainian_Ivano_Frankivsk
0.0 RU_Pinega

Closest to my dad

<tbody>
Distance to:
Briceni_ind


3.73274698
Moldova_Orhei


4.95162600
Moldova_Balti


5.18075284
Moldova_Ialoveni


5.19748016
Romania_Moldavia_Suceava


5.35366230
Romania_Moldavia_Botosani


5.60364167
Moldova_Eurogenes


5.84782866
Moldova_Edinet


5.89392908
Moldova_Calarasi


6.08366666
Moldova_Straseni


6.38070529
Moldova_Glodeni


6.40254637
Moldova_Soldanesti


6.52168690
Moldova_Nisporeni


6.59229095
Moldova_Chisinau


6.75849096
Moldova_Ocnita


6.78079641
Romania_Moldavia_Neamt


6.98537043
Moldova_Floresti


7.02432915
Moldova_1/2Moldovan_1/2EastSlavic


7.07400170
Moldova_Rezina


7.09074044
Romania_Moldavia_Vaslui


7.16397934
Romania_Moldavia_Csango


7.16447486
Moldova_Cimislia


7.41687940
Romania_Moldavia_Iasi


7.43762731
Moldova_Transnistria


7.79615931
Moldova_Ungheni


8.39916663
Moldova_Falesti


</tbody>


Target: Briceni_ind
Distance: 2.2182% / 2.21817472 | ADC: 0.25x
63.8 Moldova_Orhei
28.4 Moldova_Floresti
5.4 Moldova_Ungheni
2.4 Moldova_Glodeni

[Ion Basescul]

Distance (top 25) against all samples from Moldavia region


<tbody>
Distance to:
Edinet_ind


3.87247983
Romania_Moldavia_mixed_1_1/2Vaslui_1/2Ukrainian


3.92572286
Moldova_27_Straseni


4.09246869
Moldova_56_Chisinau_IonBasescul_brother


4.37627696
Moldova_69_Eurogenes


4.39629389
Moldova_68_Eurogenes


4.48138371
Moldova_8_Glodeni


4.52476519
Moldova_4_Ocnita


4.61093266
Moldova_1_Ocnita


4.66412907
Moldova_19_1/2Ungheni_1/2Straseni


4.68249933
Moldova_30_Balti


4.78501829
Moldova_25_Straseni


4.82840553
Moldova_55_Chisinau_IonBasescul


4.87279181
Moldova_15_Eurogenes


4.91411233
Moldova_mixed_54_1/2Ukrainian_1/2Moldovan


5.08908636
Moldova_11_Balti


5.16303205
Moldova_62_Ialoveni


5.17064793
Moldova_16_Orhei_IonBasescul_dad


5.27437200
Moldova_24_Calarasi


5.32570183
Moldova_39_Balti


5.69570013
Moldova_mixed_7_1/2Cahul_1/2BriceniUkrainian_IonBasescul_mom


6.11571746
Moldova_23_1/2Telenesti_1/2Ialoveni


6.43073091
Moldova_29_Balti


6.44660376
Moldova_32_Balti


6.47971450
Moldova_mixed_15_1/2Moldovan_1/2Ukrainian


6.48057868
Ukraine_unmixed1_Cernauti_Romanian

</tbody>


<tbody>
Distance to:
Briceni_ind


3.73274698
Moldova_16_Orhei_IonBasescul_dad


3.85990933
Moldova_19_1/2Ungheni_1/2Straseni


4.38525940
Moldova_62_Ialoveni


4.40144295
Moldova_56_Chisinau_IonBasescul_brother


4.80431056
Moldova_68_Eurogenes


4.83874984
Moldova_33_Balti


4.99141263
Moldova_50_Balti


5.04791046
Moldova_69_Eurogenes


5.09834287
Romania_Moldavia_mixed_1_1/2Vaslui_1/2Ukrainian


5.48120425
Moldova_23_1/2Telenesti_1/2Ialoveni


5.62930724
Moldova_55_Chisinau_IonBasescul


5.64311970
Moldova_mixed_7_1/2Cahul_1/2BriceniUkrainian_IonBasescul_mom


5.65129189
Moldova_mixed_54_1/2Ukrainian_1/2Moldovan


5.67485683
Moldova_38_Balti


5.67761394
Moldova_36_Balti


5.73284397
Moldova_15_Eurogenes


5.89392908
Moldova_24_Calarasi


5.95977349
Moldova_27_Straseni


5.97292223
Moldova_49_Balti


6.14689352
Moldova_34_Balti


6.38070529
Moldova_8_Glodeni


6.38817658
Moldova_60_Ialoveni


6.40254637
Moldova_12_Soldanesti


6.49766112
Moldova_7_Edinet


6.50935481
Moldova_53_Balti


</tbody>

[Ion Basescul]

3/4 Hincesti, 1/4 Soldanesti (will count as Hincesti in my list)


# Population Percent
1 Baltic 29.55
2 North_Atlantic 23.31
3 West_Med 17.84
4 East_Med 16.55
5 West_Asian 7.3
6 South_Asian 1.96
7 Red_Sea 1.29
8 East_Asian 0.8
9 Amerindian 0.79
10 Oceanian 0.35
11 Siberian 0.24


Single Population Sharing:


# Population (source) Distance
1 Serbian 5.12
2 Romanian 6.14
3 Bulgarian 7.33
4 Moldavian 7.36
5 Croatian 9.61
6 Hungarian 10.89
7 Austrian 14.39
8 Greek_Thessaly 15.35
9 East_German 15.47
10 Ukrainian_Lviv 15.94
11 South_Polish 16.77
12 Ukrainian 16.94
13 North_Italian 18.93
14 West_German 19.8
15 Tuscan 20
16 Polish 20.15
17 Southwest_Russian 20.19
18 Ukrainian_Belgorod 20.61
19 French 20.77
20 South_Dutch 21.23


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 52.5% Greek_Thessaly + 47.5% Ukrainian @ 2.35
2 59.5% Greek_Thessaly + 40.5% Estonian_Polish @ 2.85
3 62.2% Croatian + 37.8% Greek_Thessaly @ 2.86
4 57% Greek_Thessaly + 43% Polish @ 2.87
5 77.5% Croatian + 22.5% Algerian_Jewish @ 2.89
6 64.5% Greek_Thessaly + 35.5% Lithuanian @ 2.96
7 61.5% Ukrainian + 38.5% South_Italian @ 2.96
8 57.9% Ukrainian + 42.1% West_Sicilian @ 2.96
9 65.4% Ukrainian + 34.6% Algerian_Jewish @ 2.97
10 72.9% Croatian + 27.1% Ashkenazi @ 3
11 52.3% Greek_Thessaly + 47.7% South_Polish @ 3.08
12 77.7% Croatian + 22.3% Italian_Jewish @ 3.11
13 51% Greek_Thessaly + 49% Ukrainian_Lviv @ 3.12
14 65.5% Ukrainian + 34.5% Italian_Jewish @ 3.12
15 64.2% Greek_Thessaly + 35.8% Estonian @ 3.13
16 60.3% Greek_Thessaly + 39.7% Belorussian @ 3.16
17 59.3% Greek_Thessaly + 40.7% Russian_Smolensk @ 3.2
18 58.6% Ukrainian + 41.4% East_Sicilian @ 3.23
19 71.8% Bulgarian + 28.2% Ukrainian @ 3.33
20 58% Bulgarian + 42% Croatian @ 3.35


<tbody>
Distance to:
3/4Hincesti_1/4Soldanesti


4.62386202
Moldova_Centre


6.92720001
Moldova_South


7.86728034
Moldova_North


10.69020580
Moldova_South_Gagauz


11.72506290
Ukrainian_Ivano_Frankivsk


11.96853374
Moldova_Bulgarian


17.44825779
Moldova_Ukrainian


18.20553487
Ukrainian_Lviv


19.31222929
Ukrainian


25.09357089
Russian_Smolensk


28.15635630
Crimean_Tatar


29.53947528
Romania_Dobruja-Tatar


30.03505119
Moldova_Jewish


32.32944759
Russian_Pinega


33.72896381
Moldova_Roma

</tbody>

Target: 3/4Hincesti_1/4Soldanesti
Distance: 3.1049% / 3.10485864 | ADC: 0.25x
65.4 Moldova_South
34.6 Ukrainian_Ivano_Frankivsk
0.0 Moldova_Centre
0.0 Moldova_North
0.0 Moldova_South_Gagauz
0.0 Moldova_Jewish
0.0 Moldova_Roma
0.0 Moldova_Ukrainian
0.0 Moldova_Bulgarian
0.0 Romania_Dobruja-Tatar
0.0 Crimean_Tatar
0.0 Ukrainian
0.0 Ukrainian_Lviv
0.0 Russian_Pinega
0.0 Russian_Smolensk

-Ukrainians, Russians, Moldova_South
Target: 3/4Hincesti_1/4Soldanesti
Distance: 4.2834% / 4.28336610 | ADC: 0.25x
65.8 Moldova_Centre
27.6 Moldova_North
6.6 Moldova_Jewish
0.0 Moldova_Roma
0.0 Moldova_Ukrainian
0.0 Moldova_Bulgarian
0.0 Romania_Dobruja-Tatar
0.0 Crimean_Tatar





<tbody>
Distance to:
3/4Hincesti_1/4Soldanesti


4.64711739
Moldova_Eurogenes


4.65528732
Moldova_Causeni


4.87877034
Moldova_Chisinau


4.91470243
Moldova_Nisporeni


5.13255297
Moldova_Ialoveni


5.39092756
Moldova_Balti


5.39486793
Moldova_Ungheni


5.74049649
Moldova_Calarasi


5.78927457
Moldova_Straseni


5.84130122
Moldova_Cimislia


5.87975340
Moldova_Soldanesti


5.96457040
Moldova_Ocnita


7.03042673
Moldova_Cahul


7.11886929
Moldova_Falesti


7.30320478
Moldova_Hincesti


8.36013158
Moldova_StefanVoda


9.07155444
Moldova_Orhei


9.11813577
Moldova_Edinet


9.23851178
Moldova_Briceni


10.38773796
Moldova_Cantemir


10.42263402
Moldova_Glodeni


10.67465222
Moldova_Transnistria


10.76658720
Moldova_Rezina


10.93140888
Moldova_1/2Moldovan_1/2EastSlavic


10.98789789
Moldova_Floresti

</tbody>


Target: 3/4Hincesti_1/4Soldanesti
Distance: 2.3702% / 2.37018435 | ADC: 0.25x
37.0 Moldova_Causeni
23.8 Moldova_Falesti
12.0 Moldova_Hincesti
8.8 Moldova_Ocnita
8.8 Moldova_Soldanesti
8.4 Moldova_Cantemir
1.2 Moldova_Roma

[Ion Basescul]

3/4 Hincesti, 1/4 Soldanesti (will count as Hincesti in my list)


Distance (top 25) against all samples from Moldavia region.


<tbody>
Distance to:
3/4Hincesti_1/4Soldanesti


2.62034349
Romania_Moldavia_54_Galati


2.78194177
Romania_Moldavia_31_Neamt


4.16710931
Romania_Moldavia_34_Vaslui


4.27121762
Romania_Moldavia_3_Botosani


4.30477642
Moldova_3_Ocnita


4.33019630
Moldova_34_Balti


4.50819254
Moldova_45_Balti


4.57886449
Romania_Moldavia_21_Iasi


4.62366738
Romania_Moldavia_44_Bacau


4.65528732
Moldova_66_Causeni


4.79529978
Moldova_61_Ialoveni


4.91470243
Moldova_22_Nisporeni


4.99523773
Romania_Moldavia_25_Iasi


5.03941465
Moldova_26_Straseni


5.05288037
Romania_Moldavia_38_1/2Vaslui_1/2Galati


5.15619045
Moldova_31_Balti


5.17791464
Moldova_36_Balti


5.18612572
Romania_Moldavia_11_Botosani


5.26531101
Romania_Moldavia_51_Galati


5.49745396
Moldova_mixed_18_1/2Moldovan_1/2Bulgarian


5.50666868
Moldova_42_Balti


5.53297388
Romania_Moldavia_9_Botosani


5.64322603
Romania_Moldavia_26_Iasi


5.64322603
Romania_Moldavia_40_Bacau


5.64428915
Moldova_62_Ialoveni

</tbody>

[Dunai]

I received recently a Romanian average from Ion Basescul, and was curious to run it through K13 Updated, letting only national aggregates (unfortunately Greeks, Torbeshi, Vlachs and Pomaks don't have one yet, that's why they appear so often):

Target: Romanian
Distance: 0.7417% / 0.74167430 | ADC: 0.5x
56.0 Macedonian
26.4 Montenegrin
16.2 Moldovan
1.4 Crimean_Tatar

Distance to: Romanian
2.03322404 Montenegrin
2.12839776 Macedonian
3.90952683 Bulgarian
4.56164444 Serb
4.92221495 Moldovan
5.67039681 Pomak_Nevrokopi
5.91614740 Pomak_Plovdiv
6.60110597 Gagauz
6.83674630 Bosniak
7.50023333 Pomak_Kavala
7.72308229 Vlach_North-Macedonia-Highlander
7.99859363 Vlach_North-Macedonia
8.43979858 Pomak_Central-Macedonia
8.67779926 Pomak_Drama
9.13902074 Greek_Northern-Thrace
9.32796334 Torbeshi
10.16675568 Kosovo_Albanian
10.43984674 Greek_Western-Macedonia
10.51322500 Croat
10.59580106 Greek_Thessaloniki
10.97196427 Greek_Central-Macedonia
11.32749752 Pomak_Komotini
11.45961169 Albanian
12.89486720 Greek_Eastern-Macedonia
12.90627754 Hungarian

[vbnetkhio]

I received recently a Romanian average from Ion Basescul, and was curious to run it through K13 Updated, letting only national aggregates (unfortunately Greeks, Torbeshi and Pomaks don't have one yet):

Target: Romanian
Distance: 0.7417% / 0.74167430 | ADC: 0.5x
56.0 Macedonian
26.4 Montenegrin
16.2 Moldovan
1.4 Crimean_Tatar

Distance to: Romanian
2.03322404 Montenegrin
2.12839776 Macedonian
3.90952683 Bulgarian
4.56164444 Serb
4.92221495 Moldovan
6.60110597 Gagauz
6.83674630 Bosniak
7.99859363 Vlach
8.43979858 Pomak
9.13902074 Greek_Northern-Thrace
9.32796334 Torbeshi
10.16675568 Kosovo_Albanian
10.43984674 Greek_Western-Macedonia
10.51322500 Croat
10.59580106 Greek_Thessaloniki
10.97196427 Greek_Central-Macedonia
11.45961169 Albanian
12.89486720 Greek_Eastern-Macedonia
12.90627754 Hungarian
12.93523354 GR_Macedonia
13.49921528 Slovenian
13.74609035 Greek_Thessaly

here you go.
Torbesh,21.55,17.67,22.34,10.48,23.69,2.25,0.00,0. 51,0.48,0.79,0.25,0.00,0.00
Vlach,22.79,20.37,18.82,11.31,21.00,3.85,0.00,0.17 ,0.49,0.51,0.40,0.07,0.00
Pomak,18.95,24.66,16.75,13.16,20.92,2.53,0.41,0.84 ,0.71,0.38,0.35,0.05,0.06

Greeks are too diverse for a single average, i would add Central Greek, Pontic Greek and Cypriot to the model.

[Ion Basescul]

I received recently a Romanian average from Ion Basescul, and was curious to run it through K13 Updated, letting only national aggregates (unfortunately Greeks, Torbeshi, Vlachs and Pomaks don't have one yet, that's why they appear so often):

Target: Romanian
Distance: 0.7417% / 0.74167430 | ADC: 0.5x
56.0 Macedonian
26.4 Montenegrin
16.2 Moldovan
1.4 Crimean_Tatar

Distance to: Romanian
2.03322404 Montenegrin
2.12839776 Macedonian
3.90952683 Bulgarian
4.56164444 Serb
4.92221495 Moldovan
5.67039681 Pomak_Nevrokopi
5.91614740 Pomak_Plovdiv
6.60110597 Gagauz
6.83674630 Bosniak
7.50023333 Pomak_Kavala
7.72308229 Vlach_North-Macedonia-Highlander
7.99859363 Vlach_North-Macedonia
8.43979858 Pomak_Central-Macedonia
8.67779926 Pomak_Drama
9.13902074 Greek_Northern-Thrace
9.32796334 Torbeshi
10.16675568 Kosovo_Albanian
10.43984674 Greek_Western-Macedonia
10.51322500 Croat
10.59580106 Greek_Thessaloniki
10.97196427 Greek_Central-Macedonia
11.32749752 Pomak_Komotini
11.45961169 Albanian
12.89486720 Greek_Eastern-Macedonia
12.90627754 Hungarian

Just adding some details for those who are not aware. This average was made by taking all my county averages that you see posted in my threads. Then those county averages were weighted against the population distribution in Romania. Then the weighted coordinates were summed, providing the following best average for Romanians from Romania as of yet:

Romania_Weighted_Average,23.10,26.01,17.24,10.49,1 7.62,1.93,0.73,0.68,1.15,0.49,0.35,0.13,0.09

https://i.imgur.com/i04MMpe.png

[vbnetkhio]

Just adding some details for those who are not aware. This average was made by taking all my county averages that you see posted in my threads. Then those county averages were weighted against the population distribution in Romania. Then the weighted coordinates were summed, providing the following best average for Romanians from Romania as of yet:

Romania_Weighted_Average,23.10,26.01,17.24,10.49,1 7.62,1.93,0.73,0.68,1.15,0.49,0.35,0.13,0.09

https://i.imgur.com/i04MMpe.png

does municipul Buchuresti inlcude the city of Buchurest or just the area around it?

[Dunai]

here you go.
Torbesh,21.55,17.67,22.34,10.48,23.69,2.25,0.00,0. 51,0.48,0.79,0.25,0.00,0.00
Vlach,22.79,20.37,18.82,11.31,21.00,3.85,0.00,0.17 ,0.49,0.51,0.40,0.07,0.00
Pomak,18.95,24.66,16.75,13.16,20.92,2.53,0.41,0.84 ,0.71,0.38,0.35,0.05,0.06

Greeks are too diverse for a single average, i would add Central Greek, Pontic Greek and Cypriot to the model.

I believe these aggregates should also be added to Vahaduo, good job. When it comes to Greeks, I believe Central Greek may refer to simply as Greek, since that's the entire country of Greece. Almost every country has national aggregates, even if there are regional differences to some extent.

[vbnetkhio]

I believe these aggregates should also be added to Vahaduo, good job. When it comes to Greeks, I believe Central Greek may refer to simply as Greek, since that's the entire country of Greece. Almost every country has national aggregates, even if there are regional differences to some extent.

central Greeks are from the Athens region.

[Dunai]

central Greeks are from the Athens region.

Didn't knew that. And do you think there shouldn't be any Greek aggregate that collects all regions of Greece? I noticed the same is with Russians, Germans, Dutch, Spanish, Italians, that they don't have a national aggregate, only regional ones.

[vbnetkhio]

Didn't knew that. And do you think there shouldn't be any Greek aggregate that collects all regions of Greece? I noticed the same is with Russians, Germans, Dutch, Spanish, Italians, that they don't have a national aggregate, only regional ones.

those averages probably wouldn't be very useful for modelling purposes.
it would still be interesting to see them. but they would need to be carefully weighted by population size.

also, a 100 years old or more census would have to be used if possible. because, for example, it makes no sense to multiyply the average of the natives of Athens region by 3 million, just because 3 million people from all over Greece live there now.

[Ion Basescul]

does municipul Buchuresti inlcude the city of Buchurest or just the area around it?

That's only the city, but the surrounding area is called Ilfov. You can also see it in the list.

[Dunai]

those averages probably wouldn't be very useful for modelling purposes.
it would still be interesting to see them. but they would need to be carefully weighted by population size.

also, a 100 years old or more census would have to be used if possible. because, for example, it makes no sense to multiyply the average of the natives of Athens region by 3 million, just because 3 million people from all over Greece live there now.

I don't think it is so illogical to have national aggregates, since all current European countries are nation-states and not region-states. Of course the minorities of a given country shouldn't be calculated into the national aggregate, but honestly, to most people in the real world, they speak of Spanish, Greeks, Germans, Italians, Russians, and very rarely they make the distinction of referring to Thessalians, Westphalians, Apulians, Novgorodians, etc. Me personally, I do like to see what an average Spanish, Polish, Turkish, Irish, Greek or anyone else looks like genetically.

[vbnetkhio]

I don't think it is so illogical to have national aggregates, since all current European countries are nation-states and not region-states. Of course the minorities of a given country shouldn't be calculated into the national aggregate, but honestly, to most people in the real world, they speak of Spanish, Greeks, Germans, Italians, Russians, and very rarely they make the distinction of referring to Thessalians, Westphalians, Apulians, Novgorodians, etc. Me personally, I do like to see what an average Spanish, Polish, Turkish, Irish, Greek or anyone else looks like genetically.

all that is true, i just meant those averages aren't very useful for somebody searching for his ancestry, because his Greek ancestry could be from Pontic Greeks, who are genetically very different from the average Greeks, and other similar situations.

[Dunai]

all that is true, i just meant those averages aren't very useful for somebody searching for his ancestry, because his Greek ancestry could be from Pontic Greeks, who are genetically very different from the average Greeks, and other similar situations.

My point wasn't to exclude the already established regional aggregates, but to add also national ones. For example I like to run customized calculators by focusing only on the larger picture, like nations, and on such occasions I do exclude regions from the Source, which sometimes show way too bloated and repetitive results. Like for example rather than having 7 Hungarian regions in my top 10 distances, I would rather have one that represents the aggregate of Hungarians. Of course other times I do enjoy the quirks of all the small regional break-downs, but I would rather have the option to choose.

[vbnetkhio]

My point wasn't to exclude the already established regional aggregates, but to add also national ones. For example I like to run customized calculators by focusing only on the larger picture, like nations, and on such occasions I do exclude regions from the Source, which sometimes show way too bloated and repetitive results. Like for example rather than having 7 Hungarian regions in my top 10 distances, I would rather have one that represents the aggregate of Hungarians. Of course other times I do enjoy the quirks of all the small regional break-downs, but I would rather have the option to choose.

a simplified spreadsheet, i get it.

[Leto]

National average do make sense but largely in the case of more homogeneous nations. However splitting hairs isn't good in my opinion. For example having 5-6 different Balkan Turk averages or something like that is completely unnecessary. Especially if they're based on 2-3 samples each.

[Dunai]

National average do make sense but largely in the case of more homogeneous nations. However splitting hairs isn't good in my opinion. For example having 5-6 different Balkan Turk averages or something like that is completely unnecessary. Especially if they're based on 2-3 samples each.

I agree with this. I do agree that if there are historical reasons for certain regions of a given nation were more isolated from the rest of the other regions, then their result shouldn't be included into the national average. As an example, I didn't include Eastern Hungarian (Transylvanian, Székely, Csángó) samples into the Hungarian aggregate, since they lived more isolated from other Hungarian regions of the Carpathian Basin, and they do have slight different results compared to other Hungarian regions, which historically went through internal migration, and have mixed more with each other.

[Ion Basescul]

Hi IB,

That PCA from the previous thread was interesting:
https://www.theapricity.com/forum/showthread.php?318490-Moldovan-Romanian-GEDmatch-Resuts&p=6789954&viewfull=1#post6789954

Can you do another PCA with ethnic Romanians from the 3 historic provinces + RM? (4 groups on the PCA)

Here you go, only unmixed ethnic Romanians/Moldovans (422 samples):

Left = North Atlantic (Northwestern) shift
Right = no idea
Up = Baltic (Northeastern) shift
Down = Med (Southern) shift


https://i.imgur.com/iFiZKeZ.png?1

[Ion Basescul]

Here you go, only unmixed ethnic Romanians/Moldovans (422 samples):

Left = North Atlantic (Northwestern) shift
Right = no idea
Up = Baltic (Northeastern) shift
Down = Med (Southern) shift


https://i.imgur.com/iFiZKeZ.png?1

+ minorities, but without Jews and Roma, because then the rest will be too close together to understand the graph

https://i.imgur.com/tTzmrC1.png

[Ion Basescul]

+ minorities, but without Jews and Roma, because then the rest will be too close together to understand the graph

https://i.imgur.com/tTzmrC1.png

Same PCA, but limited to the region of Moldavia

https://i.imgur.com/s4ceEIN.png

[Ion Basescul]

Top 50 distances, all family + other users from Moldova - Zmey Gorynych, Daos and his dad

https://i.imgur.com/cw4Hq0V.png

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

https://i.imgur.com/W9DRFb4.png

Dad is the only reference for Orhei, hence the distance of 0
https://i.imgur.com/m0YUe15.png

https://i.imgur.com/VGX86ms.png

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

https://i.imgur.com/T8zarE2.png

[Ion Basescul]

Top 50 distances, all family + other users from Moldova - Zmey Gorynych, Daos and his dad



Jó estét kívánok, it looks like I should work at the Hungarian embassy in Moldova.


<tbody>
Distance to:
Ion_Basescul_23andme+LivingDNA


3.22308858
Romania_Moldavia_Csango


4.91383760
Romania_Transylvania_Szekler


5.67508590
Romania_Transylvania_Hungarian

</tbody>


<tbody>
Distance to:
Ion_Basescul_brother_MyHeritage


7.37862453
Romania_Moldavia_Csango


7.74595378
Romania_Transylvania_Hungarian


8.96302404
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Ion_Basescul_mother_MyHeritage


7.81368671
Romania_Transylvania_Hungarian


8.70105741
Romania_Moldavia_Csango


10.02184115
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Ion_Basescul_father_MyHeritage


5.91799797
Romania_Transylvania_Hungarian


6.04860314
Romania_Moldavia_Csango


7.17375076
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Zmey_Gorynych_1/2Telenesti_1/2Ialoveni


7.51664154
Romania_Transylvania_Hungarian


7.89787313
Romania_Moldavia_Csango


9.06112024
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Daos_3/4Slavic_1/4Drochia


9.03240832
Romania_Transylvania_Hungarian


11.70947907
Romania_Moldavia_Csango


12.20018033
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Daos_dad_1/2Slavic_1/2Drochia


10.01790896
Romania_Transylvania_Hungarian


12.43022124
Romania_Moldavia_Csango


13.32729905
Romania_Transylvania_Szekler

</tbody>

[andre]

Jó estét kívánok, it looks like I should work at the Hungarian embassy in Moldova.


<tbody>
Distance to:
Ion_Basescul_23andme+LivingDNA


3.22308858
Romania_Moldavia_Csango


4.91383760
Romania_Transylvania_Szekler


5.67508590
Romania_Transylvania_Hungarian

</tbody>


<tbody>
Distance to:
Ion_Basescul_brother_MyHeritage


7.37862453
Romania_Moldavia_Csango


7.74595378
Romania_Transylvania_Hungarian


8.96302404
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Ion_Basescul_mother_MyHeritage


7.81368671
Romania_Transylvania_Hungarian


8.70105741
Romania_Moldavia_Csango


10.02184115
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Ion_Basescul_father_MyHeritage


5.91799797
Romania_Transylvania_Hungarian


6.04860314
Romania_Moldavia_Csango


7.17375076
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Zmey_Gorynych_1/2Telenesti_1/2Ialoveni


7.51664154
Romania_Transylvania_Hungarian


7.89787313
Romania_Moldavia_Csango


9.06112024
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Daos_3/4Slavic_1/4Drochia


9.03240832
Romania_Transylvania_Hungarian


11.70947907
Romania_Moldavia_Csango


12.20018033
Romania_Transylvania_Szekler

</tbody>


<tbody>
Distance to:
Daos_dad_1/2Slavic_1/2Drochia


10.01790896
Romania_Transylvania_Hungarian


12.43022124
Romania_Moldavia_Csango


13.32729905
Romania_Transylvania_Szekler

</tbody>

Ahahahhaahhahha

[Leto]

The last name is literally "Moldovan" (Christine Moldovan)

Eurogenes K13 Oracle results:

Kit RA4927426

Admix Results (sorted):

# Population Percent
1 Baltic 25.03
2 North_Atlantic 24.67
3 East_Med 17.48
4 West_Med 16.77
5 West_Asian 7.82
6 South_Asian 2.06
7 Oceanian 1.57
8 Amerindian 1.5
9 Siberian 1.16
10 Red_Sea 1.08
11 Sub-Saharan 0.36
12 East_Asian 0.31
13 Northeast_African 0.21

Single Population Sharing:

# Population (source) Distance
1 Romanian 4.09
2 Serbian 4.82
3 Bulgarian 5.77
4 Moldavian 10.06
5 Hungarian 11.71
6 Croatian 12.53
7 Greek_Thessaly 12.81
8 Austrian 14.56
9 North_Italian 15.9
10 East_German 16.21
11 Tuscan 16.64
12 West_German 18.12
13 French 18.56
14 Italian_Abruzzo 18.91
15 Ukrainian_Lviv 18.91
16 South_Polish 19.51
17 South_Dutch 19.74
18 Portuguese 19.82
19 West_Sicilian 19.91
20 Central_Greek 19.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68.2% Greek_Thessaly + 31.8% Southwest_Finnish @ 2.84
2 50.2% West_Sicilian + 49.8% Ukrainian @ 2.87
3 60.1% West_Sicilian + 39.9% Estonian @ 3.04
4 70.1% Greek_Thessaly + 29.9% Finnish @ 3.2
5 61.9% Croatian + 38.1% West_Sicilian @ 3.2
6 51.3% Ukrainian_Lviv + 48.7% West_Sicilian @ 3.22
7 70.5% Greek_Thessaly + 29.5% Estonian @ 3.24
8 52.4% Hungarian + 47.6% Greek_Thessaly @ 3.27
9 50.5% South_Polish + 49.5% West_Sicilian @ 3.27
10 56.4% West_Sicilian + 43.6% Estonian_Polish @ 3.31
11 60.9% West_Sicilian + 39.1% Lithuanian @ 3.32
12 55.5% South_Italian + 44.5% Estonian @ 3.34
13 53.8% West_Sicilian + 46.2% Polish @ 3.37
14 58.6% Tuscan + 41.4% Southwest_Russian @ 3.41
15 70.4% Croatian + 29.6% Italian_Jewish @ 3.43
16 63.4% Tuscan + 36.6% Erzya @ 3.44
17 54% West_Sicilian + 46% Southwest_Russian @ 3.45
18 56% West_Sicilian + 44% Russian_Smolensk @ 3.48
19 60.9% Greek_Thessaly + 39.1% South_Polish @ 3.49
20 67.5% Moldavian + 32.5% West_Sicilian @ 3.5


Eurogenes EUtest V2 K15 Oracle results:

Admix Results (sorted):

# Population Percent
1 Atlantic 16.78
2 North_Sea 16.65
3 East_Med 13.91
4 Baltic 13.17
5 West_Med 12.85
6 Eastern_Euro 12.23
7 West_Asian 7.76
8 South_Asian 1.6
9 Oceanian 1.45
10 Red_Sea 1.2
11 Amerindian 1.14
12 Siberian 0.45
13 Southeast_Asian 0.4
14 Sub-Saharan 0.25
15 Northeast_African 0.17

Single Population Sharing:

# Population (source) Distance
1 Serbian 4.31
2 Romanian 5.29
3 Bulgarian 6.91
4 Moldavian 10.07
5 Austrian 10.71
6 Hungarian 11.24
7 Croatian 11.49
8 Greek_Thessaly 12.4
9 Greek 13.17
10 North_Italian 13.8
11 Tuscan 14.27
12 East_German 14.6
13 French 16.16
14 Italian_Abruzzo 16.63
15 Spanish_Galicia 16.86
16 Portuguese 16.99
17 South_Dutch 17.11
18 Spanish_Cataluna 17.39
19 West_German 17.54
20 Ukrainian_Lviv 17.64

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 86.6% Serbian + 13.4% West_Sicilian @ 3.37
2 82.7% Serbian + 17.3% Greek @ 3.38
3 62.1% Greek + 37.9% Southwest_Finnish @ 3.38
4 62.2% Tuscan + 37.8% Kargopol_Russian @ 3.39
5 90.8% Serbian + 9.2% Algerian_Jewish @ 3.42
6 90.8% Serbian + 9.2% Italian_Jewish @ 3.5
7 89.6% Serbian + 10.4% South_Italian @ 3.53
8 91.4% Serbian + 8.6% Sephardic_Jewish @ 3.58
9 88.1% Serbian + 11.9% Central_Greek @ 3.58
10 83.3% Serbian + 16.7% Greek_Thessaly @ 3.59
11 92.6% Serbian + 7.4% Tunisian_Jewish @ 3.6
12 88.8% Serbian + 11.2% East_Sicilian @ 3.61
13 85.5% Serbian + 14.5% Tuscan @ 3.61
14 88.2% Serbian + 11.8% Ashkenazi @ 3.62
15 87.5% Serbian + 12.5% Italian_Abruzzo @ 3.62
16 64.4% Tuscan + 35.6% Erzya @ 3.63
17 93.2% Serbian + 6.8% Cyprian @ 3.63
18 92.9% Serbian + 7.1% Libyan_Jewish @ 3.64
19 94.3% Serbian + 5.7% Sardinian @ 3.69
20 97.8% Serbian + 2.2% NAN_Melanesian @ 3.7

[Ion Basescul]

The last name is literally "Moldovan"



If the last name is Moldovan, then it's very likely that she's not from the region of Moldavia. Probably Transylvania, but I'll have to ask to be sure.

[ixulescu]

Here you go, only unmixed ethnic Romanians/Moldovans (422 samples):

Left = North Atlantic (Northwestern) shift
Right = no idea
Up = Baltic (Northeastern) shift
Down = Med (Southern) shift


https://i.imgur.com/iFiZKeZ.png?1

Interesting, nice work!

Some comments to the PCA:

1. It's interesting how RM occupies a larger space than Romania, probably because of the recent East Slavic admixture.

2. Botosani, Suceava and Tulcea get into the RM area for obvious reasons, though I did expect Vaslui to be there as well.

3. Timis is close to Bucharest - this one is wild, although we knew that Banat is pretty dark - it's not that surprising considering that it was populated with Olteni and Serbs in the 18th century.

4. you can rotate the PCA 45 degrees clockwise so that we can align the cardinal directions better.

[Ion Basescul]

First results from Telenesti (Republic of Moldova) and I got two of them at once. Nice

https://i.imgur.com/9DOx1Ch.jpg

I think this one is almost identical to mine.


<tbody>
North_Atlantic
25.38 Pct


Baltic
29.74 Pct


West_Med
14.85 Pct


West_Asian
10.34 Pct


East_Med
12.30 Pct


Red_Sea
2.85 Pct


South_Asian
1.14 Pct


East_Asian
0.60 Pct


Siberian
1.35 Pct


Amerindian
0.91 Pct


Oceanian
0.45 Pct


Northeast_African
-


Sub-Saharan
0.10 Pct

</tbody>


<tbody>
North_Atlantic
23.95 Pct


Baltic
32.71 Pct


West_Med
13.95 Pct


West_Asian
12.72 Pct


East_Med
11.65 Pct


Red_Sea
1.60 Pct


South_Asian
0.21 Pct


East_Asian
0.25 Pct


Siberian
2.85 Pct


Amerindian
-


Oceanian
-


Northeast_African
-


Sub-Saharan
0.10 Pct

</tbody>

[Ion Basescul]

# Population Percent
1 Baltic 29.74
2 North_Atlantic 25.38
3 West_Med 14.85
4 East_Med 12.3
5 West_Asian 10.34
6 Red_Sea 2.85
7 Siberian 1.35
8 South_Asian 1.14
9 Amerindian 0.91
10 East_Asian 0.6
11 Oceanian 0.45
12 Sub-Saharan 0.1


Single Population Sharing:


# Population (source) Distance
1 Moldavian 4.09
2 Serbian 4.3
3 Croatian 6.9
4 Romanian 7.25
5 Hungarian 7.53
6 Bulgarian 9.58
7 Austrian 11.36
8 East_German 12.5
9 Ukrainian_Lviv 13.02
10 South_Polish 13.97
11 Ukrainian 14.57
12 West_German 17.42
13 Polish 17.46
14 Southwest_Russian 17.79
15 Ukrainian_Belgorod 17.93
16 Greek_Thessaly 18.09
17 South_Dutch 18.9
18 Russian_Smolensk 19.51
19 French 19.61
20 Tatar 19.9


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 64.8% Ukrainian_Lviv + 35.2% Italian_Abruzzo @ 1.12
2 51.5% Moldavian + 48.5% Serbian @ 1.67
3 86.6% Moldavian + 13.4% Italian_Abruzzo @ 1.74
4 64.7% Romanian + 35.3% Ukrainian_Lviv @ 1.75
5 65.7% Moldavian + 34.3% Romanian @ 1.84
6 85.8% Moldavian + 14.2% Tuscan @ 1.85
7 87.7% Moldavian + 12.3% West_Sicilian @ 2
8 62.3% Ukrainian + 37.7% Italian_Abruzzo @ 2.02
9 69.4% Ukrainian_Lviv + 30.6% South_Italian @ 2.02
10 90.7% Moldavian + 9.3% Sephardic_Jewish @ 2.06
11 78.4% Croatian + 21.6% Italian_Abruzzo @ 2.12
12 66.5% Ukrainian_Lviv + 33.5% West_Sicilian @ 2.2
13 89.5% Moldavian + 10.5% South_Italian @ 2.22
14 51.4% Croatian + 48.6% Romanian @ 2.23
15 91% Moldavian + 9% Italian_Jewish @ 2.24
16 88.4% Moldavian + 11.6% East_Sicilian @ 2.24
17 85.7% Moldavian + 14.3% North_Italian @ 2.25
18 65.9% Ukrainian_Lviv + 34.1% Central_Greek @ 2.25
19 71.6% Romanian + 28.4% Polish @ 2.27
20 91.7% Moldavian + 8.3% Tunisian_Jewish @ 2.28


<tbody>
Distance to:
Moldova_Telenesti_1


4.30571713
Moldova_North


4.31678121
Moldova_Centre


9.15156817
Moldova_South


10.29519305
Ukrainian_Ivano_Frankivsk


12.94660959
Moldova_Bulgarian


13.42686114
Moldova_South_Gagauz


14.82542411
Ukrainian_Lviv


14.87218881
Moldova_Ukrainian


16.54844101
Ukrainian


22.13887531
Russian_Smolensk


25.87772594
Crimean_Tatar


27.24859079
Romania_Dobruja-Tatar


29.47454718
Russian_Pinega


33.24506881
Moldova_Jewish


34.66162864
Moldova_Roma

</tbody>


Target: Moldova_Telenesti_1
Distance: 1.6154% / 1.61536037 | ADC: 0.25x
77.6 Moldova_North
20.4 Moldova_Bulgarian
1.6 Crimean_Tatar
0.4 Moldova_Roma

-Bulgarian
Target: Moldova_Telenesti_1
Distance: 2.2084% / 2.20839460 | ADC: 0.25x
75.0 Moldova_North
21.0 Moldova_South
2.2 Moldova_Roma
1.8 Crimean_Tatar

-Moldova_South, Gagauz
Target: Moldova_Telenesti_1
Distance: 2.5055% / 2.50553275 | ADC: 0.25x
59.0 Moldova_North
37.2 Moldova_Centre
2.6 Moldova_Roma
1.2 Crimean_Tatar


<tbody>
Distance to:
Moldova_Telenesti_1


2.21522008
Moldova_Straseni


2.22409532
Moldova_Calarasi


3.50257048
Moldova_Balti


4.20316547
Moldova_Orhei


4.44967415
Moldova_Ocnita


4.63688473
Moldova_Chisinau


4.83390112
Moldova_Ialoveni


4.88221261
Moldova_Eurogenes


5.25709045
Moldova_Nisporeni


5.45809491
Moldova_Briceni


6.13617959
Moldova_Transnistria


6.24622286
Moldova_Edinet


6.30446667
Moldova_Cimislia


6.57488403
Moldova_Ungheni


6.90773480
Moldova_Soldanesti


7.03299367
Moldova_Glodeni


7.18874120
Moldova_Falesti


7.32117477
Moldova_Causeni


7.67328482
Moldova_Rezina


7.77305603
Moldova_1/2Moldovan_1/2EastSlavic


8.38401455
Moldova_Hincesti


8.91208169
Moldova_Cahul


9.69128474
Moldova_Floresti


10.61748087
Moldova_StefanVoda


12.81860367
Moldova_Cantemir

</tbody>

[Ion Basescul]

# Population Percent
1 Baltic 32.71
2 North_Atlantic 23.95
3 West_Med 13.95
4 West_Asian 12.72
5 East_Med 11.65
6 Siberian 2.85
7 Red_Sea 1.6
8 East_Asian 0.25
9 South_Asian 0.21
10 Sub-Saharan 0.1


Single Population Sharing:


# Population (source) Distance
1 Moldavian 3.79
2 Croatian 6.8
3 Serbian 7.66
4 Hungarian 9.11
5 Romanian 9.88
6 Bulgarian 11.62
7 Ukrainian_Lviv 11.63
8 South_Polish 12.81
9 Ukrainian 13.06
10 Austrian 13.33
11 East_German 14.01
12 Ukrainian_Belgorod 15.63
13 Southwest_Russian 15.64
14 Polish 16.23
15 Tatar 17.62
16 Russian_Smolensk 17.77
17 Estonian_Polish 18.52
18 Kargopol_Russian 19.13
19 Belorussian 19.16
20 West_German 20.03


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 93.3% Moldavian + 6.7% North_Ossetian @ 2.5
2 92.8% Moldavian + 7.2% Kabardin @ 2.54
3 92.9% Moldavian + 7.1% Lezgin @ 2.56
4 93.1% Moldavian + 6.9% Balkar @ 2.56
5 93.3% Moldavian + 6.7% Adygei @ 2.57
6 93.8% Moldavian + 6.2% Ossetian @ 2.61
7 92.8% Moldavian + 7.2% Kumyk @ 2.63
8 93% Moldavian + 7% Chechen @ 2.63
9 94.7% Moldavian + 5.3% Abhkasian @ 2.65
10 94.5% Moldavian + 5.5% Georgian @ 2.66
11 93% Moldavian + 7% Tabassaran @ 2.67
12 92.2% Moldavian + 7.8% Nogay @ 2.7
13 85.9% Croatian + 14.1% Balkar @ 2.73
14 85.4% Croatian + 14.6% Kabardin @ 2.83
15 86.6% Croatian + 13.4% North_Ossetian @ 2.86
16 94.6% Moldavian + 5.4% Kurdish @ 2.88
17 85.1% Croatian + 14.9% Kumyk @ 2.89
18 94.1% Moldavian + 5.9% Azeri @ 2.91
19 93.9% Moldavian + 6.1% Turkmen @ 2.92
20 67.9% Romanian + 32.1% Erzya @ 2.92



<tbody>
Distance to:
Moldova_Telenesti_2


4.75013684
Moldova_North


5.96199631
Moldova_Centre


9.73719672
Ukrainian_Ivano_Frankivsk


11.46577516
Moldova_South


13.16738395
Moldova_Ukrainian


13.25086412
Ukrainian_Lviv


14.87951276
Ukrainian


15.25623807
Moldova_South_Gagauz


15.76581428
Moldova_Bulgarian


20.19238966
Russian_Smolensk


25.16624525
Crimean_Tatar


26.04159557
Romania_Dobruja-Tatar


27.05657464
Russian_Pinega


35.53284396
Moldova_Jewish


36.27924062
Moldova_Roma

</tbody>


Target: Moldova_Telenesti_2
Distance: 3.3945% / 3.39449557 | ADC: 0.25x
55.2 Moldova_North
31.0 Moldova_Centre
7.4 Crimean_Tatar
3.6 Ukrainian_Lviv
2.8 Russian_Smolensk


<tbody>
Distance to:
Moldova_Telenesti_2


3.49911417
Moldova_Orhei


3.57187626
Moldova_Edinet


3.70645383
Moldova_Briceni


4.14342853
Moldova_Glodeni


4.76959118
Moldova_Straseni


5.18644387
Moldova_Balti


5.45477772
Moldova_Ialoveni


5.70429663
Moldova_Eurogenes


5.79113115
Moldova_Calarasi


6.29007154
Moldova_1/2Moldovan_1/2EastSlavic


6.39179943
Moldova_Chisinau


6.55312139
Moldova_Ocnita


6.61752975
Moldova_Cimislia


6.76582589
Moldova_Soldanesti


6.79693313
Moldova_Transnistria


7.85607408
Moldova_Rezina


7.94930815
Moldova_Ungheni


7.96523697
Moldova_Nisporeni


8.19826811
Moldova_Falesti


8.78633029
Moldova_Floresti


9.71236840
Moldova_Hincesti


10.20917235
Moldova_Causeni


11.85353956
Moldova_Cahul


12.68830564
Moldova_StefanVoda


13.16738395
Moldova_Ukrainian

</tbody>

[Aspirin]

# Population Percent
1 Baltic 32.71
2 North_Atlantic 23.95
3 West_Med 13.95
4 West_Asian 12.72
5 East_Med 11.65
6 Siberian 2.85
7 Red_Sea 1.6
8 East_Asian 0.25
9 South_Asian 0.21
10 Sub-Saharan 0.1


Single Population Sharing:


# Population (source) Distance
1 Moldavian 3.79
2 Croatian 6.8
3 Serbian 7.66
4 Hungarian 9.11
5 Romanian 9.88
6 Bulgarian 11.62
7 Ukrainian_Lviv 11.63
8 South_Polish 12.81
9 Ukrainian 13.06
10 Austrian 13.33
11 East_German 14.01
12 Ukrainian_Belgorod 15.63
13 Southwest_Russian 15.64
14 Polish 16.23
15 Tatar 17.62
16 Russian_Smolensk 17.77
17 Estonian_Polish 18.52
18 Kargopol_Russian 19.13
19 Belorussian 19.16
20 West_German 20.03


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 93.3% Moldavian + 6.7% North_Ossetian @ 2.5
2 92.8% Moldavian + 7.2% Kabardin @ 2.54
3 92.9% Moldavian + 7.1% Lezgin @ 2.56
4 93.1% Moldavian + 6.9% Balkar @ 2.56
5 93.3% Moldavian + 6.7% Adygei @ 2.57
6 93.8% Moldavian + 6.2% Ossetian @ 2.61
7 92.8% Moldavian + 7.2% Kumyk @ 2.63
8 93% Moldavian + 7% Chechen @ 2.63
9 94.7% Moldavian + 5.3% Abhkasian @ 2.65
10 94.5% Moldavian + 5.5% Georgian @ 2.66
11 93% Moldavian + 7% Tabassaran @ 2.67
12 92.2% Moldavian + 7.8% Nogay @ 2.7
13 85.9% Croatian + 14.1% Balkar @ 2.73
14 85.4% Croatian + 14.6% Kabardin @ 2.83
15 86.6% Croatian + 13.4% North_Ossetian @ 2.86
16 94.6% Moldavian + 5.4% Kurdish @ 2.88
17 85.1% Croatian + 14.9% Kumyk @ 2.89
18 94.1% Moldavian + 5.9% Azeri @ 2.91
19 93.9% Moldavian + 6.1% Turkmen @ 2.92
20 67.9% Romanian + 32.1% Erzya @ 2.92



<tbody>
Distance to:
Moldova_Telenesti_2


4.75013684
Moldova_North


5.96199631
Moldova_Centre


9.73719672
Ukrainian_Ivano_Frankivsk


11.46577516
Moldova_South


13.16738395
Moldova_Ukrainian


13.25086412
Ukrainian_Lviv


14.87951276
Ukrainian


15.25623807
Moldova_South_Gagauz


15.76581428
Moldova_Bulgarian


20.19238966
Russian_Smolensk


25.16624525
Crimean_Tatar


26.04159557
Romania_Dobruja-Tatar


27.05657464
Russian_Pinega


35.53284396
Moldova_Jewish


36.27924062
Moldova_Roma

</tbody>


Target: Moldova_Telenesti_2
Distance: 3.3945% / 3.39449557 | ADC: 0.25x
55.2 Moldova_North
31.0 Moldova_Centre
7.4 Crimean_Tatar
3.6 Ukrainian_Lviv
2.8 Russian_Smolensk


<tbody>
Distance to:
Moldova_Telenesti_2


3.49911417
Moldova_Orhei


3.57187626
Moldova_Edinet


3.70645383
Moldova_Briceni


4.14342853
Moldova_Glodeni


4.76959118
Moldova_Straseni


5.18644387
Moldova_Balti


5.45477772
Moldova_Ialoveni


5.70429663
Moldova_Eurogenes


5.79113115
Moldova_Calarasi


6.29007154
Moldova_1/2Moldovan_1/2EastSlavic


6.39179943
Moldova_Chisinau


6.55312139
Moldova_Ocnita


6.61752975
Moldova_Cimislia


6.76582589
Moldova_Soldanesti


6.79693313
Moldova_Transnistria


7.85607408
Moldova_Rezina


7.94930815
Moldova_Ungheni


7.96523697
Moldova_Nisporeni


8.19826811
Moldova_Falesti


8.78633029
Moldova_Floresti


9.71236840
Moldova_Hincesti


10.20917235
Moldova_Causeni


11.85353956
Moldova_Cahul


12.68830564
Moldova_StefanVoda


13.16738395
Moldova_Ukrainian

</tbody>

This one is very northern, I don't see Greek Thessaly in his Oracle. Zmey, half of his ancestry is from Teleneşti too, and he is northern too for Central region.

[Ion Basescul]

Zmey, half of his ancestry is from Teleneşti too, and he is northern too for Central region.

Kind of, but if I am used as a baseline for the Central region then Zmey pulls more towards the Centre, probably because he is only half from Telenesti. Zmey's Southern ancestry is higher than mine for example and so is his Northern, whereas I pull East towards the horses and archers.
Compared to the samples from Telenesti, he is a bit more Med-ish than them, finds himself between them for Northern ancestry and scores less East Asian/Siberian.

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
F. Name
West_Med
West_Asian
East_Med
Red_Sea
Total Med + W.Asian


Zmey
14.38
9.99
13.86
3.05
41.28

</tbody>
<google-sheets-html-origin>
<colgroup><col style="width: 83px"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
Ion
15.04
9.99
12.91
1.53
39.47

</tbody>
</google-sheets-html-origin></google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
Telenesti_1
14.85
10.34
12.30
2.85
40.34


Telenesti_2
13.95
12.72
11.65
1.60
39.92

</tbody>
</google-sheets-html-origin>
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="68"><col width="39"><col width="74"></colgroup><tbody>
F. Name
N_Atlantic
Baltic
Total N_Atlantic+Baltic


Zmey
22.18
33.94
56.12

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="68"><col width="39"><col width="74"></colgroup><tbody>
Ion
25.42
29.37
54.79

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="68"><col width="39"><col width="74"></colgroup><tbody>
Telenesti_1
25.38
29.74
55.12


Telenesti_2
23.95
32.71
56.66

</tbody>
</google-sheets-html-origin>
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="70"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
F. Name
East_Asian
Siberian
Amerindian
Total E_Asian+Siberian


Zmey
1.21
0
0.91
2.12

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="70"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
Ion
1.84
2.84
0
4.68

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="70"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
Telenesti_1
0.60
1.35
0.91
2.86


Telenesti_2
0.25
2.85
0
3.10

</tbody>
</google-sheets-html-origin>

The most Northern sample that we have is from the Central region btw. This person was born in Rezina, but with parents originally from the neighbouring Ribnita region in Transnistria (Plopi (https://ro.wikipedia.org/wiki/Plopi,_St%C3%AEnga_Nistrului) and Vasilievca (https://ro.wikipedia.org/wiki/Comuna_Sovietscoe,_St%C3%AEnga_Nistrului)).

# Population Percent
1 Baltic 34.84
2 North_Atlantic 28.97
3 West_Med 12.39
4 East_Med 12.05
5 West_Asian 7.67
6 Siberian 1.37
7 Red_Sea 0.73
8 Northeast_African 0.71
9 Oceanian 0.51
10 South_Asian 0.44
11 Sub-Saharan 0.34


Single Population Sharing:


# Population (source) Distance
1 Croatian 3.92
2 Hungarian 4.59
3 Moldavian 5.48
4 South_Polish 8.43
5 Serbian 8.49
6 Ukrainian_Lviv 8.8
7 Austrian 9.4
8 East_German 9.5
9 Ukrainian 9.75
10 Polish 12.27
11 Romanian 12.53
12 Southwest_Russian 12.96
13 Ukrainian_Belgorod 13.41
14 Russian_Smolensk 14.55
15 Bulgarian 14.81
16 Estonian_Polish 15.01
17 Belorussian 15.28
18 Southwest_Finnish 16.56
19 West_German 16.96
20 Kargopol_Russian 17.23


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 82.6% South_Polish + 17.4% Italian_Jewish @ 1.57
2 82.7% South_Polish + 17.3% Sephardic_Jewish @ 1.69
3 69.4% Serbian + 30.6% Estonian @ 1.83
4 78% South_Polish + 22% Italian_Abruzzo @ 1.83
5 78.8% South_Polish + 21.2% West_Sicilian @ 1.84
6 50.2% South_Polish + 49.8% Serbian @ 1.86
7 79.7% South_Polish + 20.3% Ashkenazi @ 1.89
8 80.8% South_Polish + 19.2% South_Italian @ 1.92
9 83.9% South_Polish + 16.1% Tunisian_Jewish @ 1.93
10 64.7% Serbian + 35.3% Belorussian @ 1.95
11 79.4% South_Polish + 20.6% East_Sicilian @ 2.02
12 82.9% South_Polish + 17.1% Algerian_Jewish @ 2.03
13 60.2% South_Polish + 39.8% Romanian @ 2.03
14 60.3% Romanian + 39.7% Estonian @ 2.09
15 84% South_Polish + 16% Libyan_Jewish @ 2.09
16 78.8% South_Polish + 21.2% Central_Greek @ 2.14
17 70.8% Serbian + 29.2% Lithuanian @ 2.2
18 74.2% South_Polish + 25.8% Greek_Thessaly @ 2.21
19 60.9% Estonian + 39.1% Italian_Abruzzo @ 2.23
20 64.5% Serbian + 35.5% Estonian_Polish @ 2.31

[Aspirin]

Kind of, but if I am used as a baseline for the Central region then Zmey pulls more towards the Centre, probably because he is only half from Telenesti. Zmey's Southern ancestry is higher than mine for example and so is his Northern, whereas I pull East towards the horses and archers.
Compared to the samples from Telenesti, he is a bit more Med-ish than them, finds himself between them for Northern ancestry and scores less East Asian/Siberian.

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
F. Name
West_Med
West_Asian
East_Med
Red_Sea
Total Med + W.Asian


Zmey
14.38
9.99
13.86
3.05
41.28

</tbody>
<google-sheets-html-origin>
<colgroup><col style="width: 83px"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
Ion
15.04
9.99
12.91
1.53
39.47

</tbody>
</google-sheets-html-origin></google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
Telenesti_1
14.85
10.34
12.30
2.85
40.34


Telenesti_2
13.95
12.72
11.65
1.60
39.92

</tbody>
</google-sheets-html-origin>
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="68"><col width="39"><col width="74"></colgroup><tbody>
F. Name
N_Atlantic
Baltic
Total N_Atlantic+Baltic


Zmey
22.18
33.94
56.12

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="68"><col width="39"><col width="74"></colgroup><tbody>
Ion
25.42
29.37
54.79

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="68"><col width="39"><col width="74"></colgroup><tbody>
Telenesti_1
25.38
29.74
55.12


Telenesti_2
23.95
32.71
56.66

</tbody>
</google-sheets-html-origin>
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="70"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
F. Name
East_Asian
Siberian
Amerindian
Total E_Asian+Siberian


Zmey
1.21
0
0.91
2.12

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="70"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
Ion
1.84
2.84
0
4.68

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px"><col width="70"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
Telenesti_1
0.60
1.35
0.91
2.86


Telenesti_2
0.25
2.85
0
3.10

</tbody>
</google-sheets-html-origin>

The most Northern sample that we have is from the Central region btw. This person was born in Rezina, but with parents originally from the neighbouring Ribnita region in Transnistria (Plopi (https://ro.wikipedia.org/wiki/Plopi,_St%C3%AEnga_Nistrului) and Vasilievca (https://ro.wikipedia.org/wiki/Comuna_Sovietscoe,_St%C3%AEnga_Nistrului)).


Well, you are 1/4 Ukrainian, this is the reason why your Southern ancestry is lower than him, he is not. Plus you have very unique background.

The person from Rezina clearly have recent Slavic admixture, with such high North Atlantic, his origins confirm that.

[Ion Basescul]

The person from Rezina clearly have recent Slavic admixture, with such high North Atlantic, his origins confirm that.

I suspect that too, but I will leave the sample for now, until I get something better from there.
Actually, I've also found yesterday that her 1/2 Vasilievca side is not even from there. Her mom (I don't have her maiden surname) lived there, but she was born in Шершенці. And according to Wikipedia, it is 96% Ukrainian.

[Aspirin]

I suspect that too, but I will leave the sample for now, until I get something better from there.
Actually, I've also found yesterday that her 1/2 Vasilievca side is not even from there. Her mom (I don't have her maiden surname) lived there, but she was born in Шершенці. And according to Wikipedia, it is 96% Ukrainian.

How about these two from Telenești, do you know something about their background?

[Ion Basescul]

I suspect that too, but I will leave the sample for now, until I get something better from there.
Actually, I've also found yesterday that her 1/2 Vasilievca side is not even from there. Her mom (I don't have her maiden surname) lived there, but she was born in Шершенці. And according to Wikipedia, it is 96% Ukrainian.

If we assume that she's mixed then these are the next top 5 Northern-most samples. I am also including those who are half unmixed from the North and half Slavic, because this way it's easier to see where the upper and lower admixture boundaries could be in unmixed people from there.
It seems like lower 60s% for the sum of N_Atlantic+Baltic is the most that someone of unmixed heritage should expect to score. The sum of Med and West Asian components starts at about 33%.

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
F. Name
West_Med
West_Asian
East_Med
Red_Sea
Total Med+W.Asian


Ocnita
14.65
5.86
12.83
0
33.34

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
Tiraspol
13.51
8.62
9.41
1.69
33.23

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
Balti_1
14.36
5.12
13.53
2.10
35.85

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
Floresti
9.74
8.78
16.00
1.82
34.52

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
Balti_2
15.49
6.59
13.52
1.22
36.82

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
1/2Drochia_1/2Polish
12.60
7.73
8.94
2.67
31.94

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
Balti_10/16Ukrainian
11.95
9.09
9.72
2.43
33.19

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
2/4Riscani_Ukr._1/4Poltava_Ukr.
13.68
10.09
7.49
0.57
31.83

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
1/2Ribnita_1/2Ukrainian
14.39
5.74
9.35
2.31
31.79

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 66px"><col width="73"><col width="63"><col width="55"><col width="78"></colgroup><tbody>
1_2Balti_1/2Russian
11.97
10.18
6.87
1.90
30.92

</tbody>
</google-sheets-html-origin>
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 68px"><col width="39"><col width="78"></colgroup><tbody>
F. Name
N_Atlantic
Baltic
Total N_Atlantic+Baltic


Ocnita
27.82
33.86
61.68

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 68px"><col width="39"><col width="78"></colgroup><tbody>
Tiraspol
28.21
33.01
61.22

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 68px"><col width="39"><col width="78"></colgroup><tbody>
Balti_1
28.97
31.72
60.69

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 68px"><col width="39"><col width="78"></colgroup><tbody>
Floresti
24.07
36.26
60.33

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 68px"><col width="39"><col width="78"></colgroup><tbody>
Balti_2
28.04
32.24
60.28

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 68px"><col width="39"><col width="78"></colgroup><tbody>
1/2Drochia_1/2Polish
22.11
39.39
61.50


Balti_10/16Ukrainian
27.18
36.15
63.33

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 68px"><col width="39"><col width="78"></colgroup><tbody>
2/4Riscani_Ukr._1/4Poltava_Ukr.
25.50
39.14
64.64


1/2Ribnita_1/2Ukrainian
26.60
36.87
63.47


1_2Balti_1/2Russian
24.71
38.41
63.12

</tbody>
</google-sheets-html-origin>
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 70px"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
F. Name
East_Asian
Siberian
Amerindian
Total E_Asian+Siberian


Ocnita
1.14
0.51
1.49
3.14

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 70px"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
Tiraspol
0
2.33
0
2.33

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 70px"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
Balti_1
1.39
1.35
0
2.74

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 70px"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
Floresti
2.47
0.19
0.54
3.20

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 70px"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
Balti_2
0
2.23
0.42
2.65

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 70px"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
1/2Drochia_1/2Polish
0.58
0.76
1.18
2.52

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 70px"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
Balti_10/16Ukrainian
0
2.06
0
2.06

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 83px;"><col style="width: 70px"><col width="54"><col width="74"><col width="60"></colgroup><tbody>
2/4Riscani_Ukr._1/4Poltava_Ukr.
0.75
1.75
0
2.50


1/2Ribnita_1/2Ukrainian
0.60
1.58
0
2.18


1_2Balti_1/2Russian
0.25
4.56
0.14
4.95



</tbody>
</google-sheets-html-origin>

How about these two from Telenești, do you know something about their background?

Not much else apart from them having parents from there. Telenesti_2 is my DNA relative and Telenesti_1 is their relative.

[Leto]

1_2Balti_1/2Russian
Can you share the full results? Both K13 and Dodecad (do me a fucking favor;))

[Ion Basescul]

Can you share the full results? Both K13 and Dodecad (do me a fucking favor;))

Here you go:



# Population Percent
1 Baltic 38.41
2 North_Atlantic 24.71
3 West_Med 11.97
4 West_Asian 10.18
5 East_Med 6.87
6 Siberian 4.56
7 Red_Sea 1.9
8 Oceanian 0.49
9 Sub-Saharan 0.31
10 East_Asian 0.25
11 Amerindian 0.14
12 South_Asian 0.11
13 Northeast_African 0.11


Single Population Sharing:


# Population (source) Distance
1 Ukrainian_Lviv 6
2 Croatian 6.57
3 Moldavian 6.95
4 Ukrainian 7.5
5 South_Polish 8.01
6 Southwest_Russian 9.54
7 Ukrainian_Belgorod 9.77
8 Hungarian 10.47
9 Polish 10.53
10 Russian_Smolensk 11.57
11 Kargopol_Russian 12.11
12 Estonian_Polish 12.27
13 Belorussian 13.07
14 Erzya 13.51
15 Serbian 13.61
16 East_German 13.82
17 Austrian 14.47
18 Tatar 14.91
19 Southwest_Finnish 16.12
20 Finnish 16.26


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 86.8% Ukrainian_Lviv + 13.2% Nogay @ 2.7
2 78.2% Croatian + 21.8% Chuvash @ 2.74
3 67.6% Moldavian + 32.4% Erzya @ 2.91
4 50.2% Erzya + 49.8% Serbian @ 3
5 65.2% Moldavian + 34.8% Kargopol_Russian @ 3
6 88.3% Ukrainian_Lviv + 11.7% Afghan_Turkmen @ 3.05
7 69.3% Erzya + 30.7% North_Italian @ 3.21
8 58.5% Kargopol_Russian + 41.5% Romanian @ 3.22
9 83.8% Ukrainian + 16.2% Nogay @ 3.23
10 82.9% Croatian + 17.1% Mari @ 3.24
11 74% Kargopol_Russian + 26% Italian_Abruzzo @ 3.35
12 72.8% Moldavian + 27.2% East_Finnish @ 3.35
13 89.5% Ukrainian_Lviv + 10.5% Balkar @ 3.36
14 72.1% Croatian + 27.9% Tatar @ 3.39
15 89.2% Ukrainian_Lviv + 10.8% Kabardin @ 3.43
16 61.1% Kargopol_Russian + 38.9% Bulgarian @ 3.44
17 53.1% Kargopol_Russian + 46.9% Serbian @ 3.45
18 89.6% Ukrainian_Lviv + 10.4% Turkmen @ 3.47
19 90.1% Ukrainian_Lviv + 9.9% North_Ossetian @ 3.52
20 90.5% Ukrainian_Lviv + 9.5% Ossetian @ 3.56



# Population Percent
1 North_European 48.17
2 Atlantic_Med 23.07
3 Caucasus 14.84
4 Gedrosia 6.14
5 Siberian 3.44
6 Southwest_Asian 3.41
7 East_Asian 0.93


Single Population Sharing:


# Population (source) Distance
1 Hungarians (Behar) 5.26
2 German (Dodecad) 11.13
3 Ukranians (Yunusbayev) 15.59
4 Polish (Dodecad) 15.6
5 Mixed_Slav (Dodecad) 16.96
6 Romanians (Behar) 17.27
7 Swedish (Dodecad) 17.63
8 Mixed_Germanic (Dodecad) 17.75
9 Dutch (Dodecad) 18.48
10 Mordovians (Yunusbayev) 18.94
11 Bulgarian (Dodecad) 18.98
12 Norwegian (Dodecad) 19.32
13 Russian (Dodecad) 19.46
14 Bulgarians (Yunusbayev) 19.47
15 Russian_B (Behar) 20.23
16 Russian (HGDP) 20.34
17 Belorussian (Behar) 20.4
18 CEU30 (1000Genomes) 21.18
19 English (Dodecad) 21.4
20 Kent (1000Genomes) 21.48


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 60.8% Mordovians (Yunusbayev) + 39.2% N_Italian (Dodecad) @ 2.31
2 83.8% Hungarians (Behar) + 16.2% Chuvashs (Behar) @ 2.31
3 63% Mordovians (Yunusbayev) + 37% North_Italian (HGDP) @ 2.5
4 59.1% Russian (HGDP) + 40.9% N_Italian (Dodecad) @ 2.87
5 51% FIN30 (1000Genomes) + 49% O_Italian (Dodecad) @ 3.14
6 94.5% Hungarians (Behar) + 5.5% Selkup (Rasmussen) @ 3.2
7 94.9% Hungarians (Behar) + 5.1% Ket (Rasmussen) @ 3.32
8 50.5% O_Italian (Dodecad) + 49.5% Finnish (Dodecad) @ 3.4
9 64.8% Mordovians (Yunusbayev) + 35.2% Baleares (1000Genomes) @ 3.45
10 61.4% Russian (HGDP) + 38.6% North_Italian (HGDP) @ 3.5
11 62.1% Russian (HGDP) + 37.9% TSI30 (Metspalu) @ 3.61
12 94.6% Hungarians (Behar) + 5.4% Altai (Rasmussen) @ 3.67
13 95.4% Hungarians (Behar) + 4.6% Tuva (Rasmussen) @ 3.75
14 96% Hungarians (Behar) + 4% Dolgan (Rasmussen) @ 3.77
15 67.9% Mordovians (Yunusbayev) + 32.1% Andalucia (1000Genomes) @ 3.78
16 96.5% Hungarians (Behar) + 3.5% Evenk (Rasmussen) @ 3.79
17 96.3% Hungarians (Behar) + 3.7% Yakut (HGDP) @ 3.79
18 96.4% Hungarians (Behar) + 3.6% Yukagir (Rasmussen) @ 3.83
19 92.7% Hungarians (Behar) + 7.3% Uzbeks (Behar) @ 3.85
20 97% Hungarians (Behar) + 3% Nganassan (Rasmussen) @ 3.88

[Leto]

Here you go:

Thanks. That's quite a bit of Mongoloid - over 4%. Anything is know about his Russian ancestry? It must have come over there from afar.

Dodecad:
MoldoRus,6.14,3.44,0,0,23.07,48.17,0,0,3.41,0.93,1 4.84,0

Distance to: MoldoRus
5.40399852 Slovak
5.44716440 Hungarians
7.22284570 Slovenian
7.93039091 PL_GreaterPoland
8.08119422 Ukrainian
8.33279665 Croat
8.72328493 Bosnian
8.74047482 Sorb_Lusatia
9.20004348 R.Moldova_Centre+North
9.77199059 Rus_Smolensk

Target: MoldoRus
Distance: 2.2792% / 2.27917142 | ADC: 0.5x
49.8 Hungarians
30.6 Slovak
17.4 Tatar_Kazan
2.2 Ukrainian

Target: MoldoRus
Distance: 1.1048% / 1.10478350 | ADC: 0.25x
41.0 Hungarians
40.2 Slovak
8.4 Chuvash
6.8 Tatar_Kazan
3.2 Tabasaran
0.4 Saudis

Eurogenes:
MoldoRus,24.71,38.41,11.97,10.18,6.87,1.9,0.11,0.2 5,4.56,0.14,0.49,0.11,0.31

Distance to: MoldoRus
6.54372982 Ukrainian_Lviv
7.67348031 Bosniak_Bosnia_NE&Central
7.70332396 Ukrainian_Ivano_Frankivsk
8.27863515 Moldova_North
8.29172479 Ukrainian
8.61499700 Slovak
8.64037615 Croat_Slavonia
8.89130474 South_Polish
9.48371235 Hungarian_Northern
9.62331977 Croat

Target: MoldoRus
Distance: 2.6451% / 2.64513217 | ADC: 0.5x
54.4 Ukrainian_Lviv
28.6 Moldova_North
16.6 Tatar
0.4 Bulgarian_Ruse

Target: MoldoRus
Distance: 2.0073% / 2.00729304 | ADC: 0.25x
59.4 Ukrainian_Lviv
18.0 Tatar
9.6 Bulgarian_Ruse
8.0 Moldova_North
4.2 Croat_Slavonia
0.8 North_Ossetian

[Ion Basescul]

Thanks. That's quite a bit of Mongoloid - over 4%. Anything is know about his Russian ancestry? It must have come over there from afar.


Nope, I suppose it's just Northern Russian. The neighbourhood that I grew up in received mostly migrants from Saint Petersburg in Soviet times and there quite a couple of Siberian/East Asian hints in faces. His admixture could be related or from somewhere else in the country.

[Leto]

Nope, I suppose it's just Northern Russian. The neighbourhood that I grew up in received mostly migrants from Saint Petersburg in Soviet times and there quite a couple of Siberian/East Asian hints in faces. His admixture could be related or from somewhere else in the country.
Um, if you mean Leningrad oblast, they are Northwest Russians (long-time residents). That type of Russians actually look whiter than average, blonder and more Finnish-like. Don't know why they would migrate to Moldova from the second-largest city of Russia. Sure neighboring Ukrainians would look more similar to Moldovans than them.

[Ion Basescul]

From Vrancea (Romania's Moldavia)

# Population Percent
1 Baltic 27.43
2 North_Atlantic 24.37
3 West_Med 14.81
4 East_Med 14.49
5 West_Asian 10.05
6 Red_Sea 3.2
7 South_Asian 2.96
8 Siberian 0.96
9 Amerindian 0.79
10 Oceanian 0.51
11 East_Asian 0.37
12 Sub-Saharan 0.06


Single Population Sharing:


# Population (source) Distance
1 Serbian 3.82
2 Romanian 5.21
3 Moldavian 6.82
4 Bulgarian 7.47
5 Hungarian 9.64
6 Croatian 9.66
7 Austrian 13.07
8 East_German 14.51
9 Greek_Thessaly 15.41
10 Ukrainian_Lviv 15.77
11 South_Polish 16.67
12 Ukrainian 17.28
13 West_German 18.07
14 North_Italian 18.94
15 French 19.51
16 South_Dutch 19.61
17 Tuscan 19.84
18 Polish 20.16
19 Southwest_Russian 20.29
20 Ukrainian_Belgorod 20.47


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 92.8% Serbian + 7.2% MA-1 @ 1.76
2 95% Serbian + 5% Kshatriya @ 2.12
3 93.9% Serbian + 6.1% Pathan @ 2.13
4 95% Serbian + 5% Gujarati @ 2.15
5 94.7% Serbian + 5.3% Brahmin_UP @ 2.16
6 94% Serbian + 6% Burusho @ 2.17
7 95.5% Serbian + 4.5% Kanjar @ 2.17
8 94.1% Serbian + 5.9% Punjabi_Jat @ 2.18
9 95.4% Serbian + 4.6% Dharkar @ 2.19
10 95.8% Serbian + 4.2% North_Kannadi @ 2.2
11 95.1% Serbian + 4.9% Bangladeshi @ 2.21
12 57.6% Ukrainian_Lviv + 42.4% Italian_Abruzzo @ 2.24
13 95.8% Serbian + 4.2% Dusadh @ 2.25
14 95.8% Serbian + 4.2% Velamas @ 2.25
15 95.8% Serbian + 4.2% Kurumba @ 2.25
16 95.6% Serbian + 4.4% Uttar_Pradesh @ 2.26
17 95.8% Serbian + 4.2% Kol @ 2.26
18 96% Serbian + 4% Piramalai @ 2.26
19 96.1% Serbian + 3.9% Chamar @ 2.28
20 94.8% Serbian + 5.2% Sindhi @ 2.3


<tbody>
Distance to:
Vrancea_ind


3.72687537
Romania_Moldova_Nord


4.23566996
Romania_Moldova_Csango


4.26357831
Romania_Moldova_Sud


4.77035638
Romania_Maramures


5.06848103
Romania_Crisana


5.20433473
Romania_Transilvania


5.78822154
Romania_Transilvania_Szekely


5.81740203
Romania_Transilvania_Hungarian


5.85281983
Romania_Oltenia


6.54508976
Romania_Banat


6.89567981
Romania_Muntenia


7.19720779
Romania_Dobrogea


8.54732122
Bulgarian


11.56619644
Aromanian_North-Macedonia-Highlander


11.63663182
Aromanian_North-Macedonia


12.86839928
Ukrainian_Ivano_Frankivsk


16.90102955
Aromanian_Central-Macedonia


17.98864364
Ukrainian_Lviv


25.34448263
Crimean_Tatar


27.50770801
Romania_Dobruja_Tatar


30.37712462
Romania_Jewish


31.46442753
Romania_Roma

</tbody>


Target: Vrancea_ind
Distance: 2.0924% / 2.09235315 | ADC: 0.25x
86.8 Romania_Moldova_Nord
7.4 Romania_Roma
4.4 Aromanian_North-Macedonia
1.4 Ukrainian_Lviv

-Aromanians
Target: Vrancea_ind
Distance: 2.1783% / 2.17834066 | ADC: 0.25x
86.0 Romania_Moldova_Nord
7.8 Romania_Roma
3.2 Romania_Crisana
3.0 Romania_Moldova_Sud

The Vrancea reference has only 1 individual, so it's far from being representative.

<tbody>
Distance to:
Vrancea_ind


3.11139840
Romania_Moldavia_Iasi


3.41087965
Romania_Moldavia_Neamt


4.15202360
Romania_Moldavia_Vaslui


4.31478852
Romania_Moldavia_Botosani


4.44364715
Romania_Moldavia_Bacau


5.24716114
Romania_Moldavia_Suceava


5.57403803
Romania_Moldavia_Vrancea


6.12188696
Romania_Moldavia_Galati


</tbody>

[Ion Basescul]

Um, if you mean Leningrad oblast, they are Northwest Russians (long-time residents). That type of Russians actually look whiter than average, blonder and more Finnish-like. Don't know why they would migrate to Moldova from the second-largest city of Russia. Sure neighboring Ukrainians would look more similar to Moldovans than them.

Yep, blonder, whiter than average, but with Mong features. Obviously only a fraction of them were like that, but it was obvious compared to the general population.

[Leto]

Yep, blonder, whiter than average, but with Mong features. Obviously only a fraction of them were like that, but it was obvious compared to the general population.
You think 5-10% East Eurasia can be phenotypically noticeable?

[Aspirin]

You think 5-10% East Eurasia can be phenotypically noticeable?

If is Turkic, most likely, if is Finno-Ugric, not very much.

[Leto]

If is Turkic, most likely, if is Finno-Ugric, not very much.
Strange logic. Those are linguistic terms. In us it (East Eurasian) is not "Turkic" most of the time (unless recent ancestry from the last 100 years or so) but it's noticeable sometimes, though without both photos and DNA results it's a rather pointless discussion. Chris also thought he should be Asian.

[WeirdLookingFellow]

From Vrancea (Romania's Moldavia)

# Population Percent
1 Baltic 27.43
2 North_Atlantic 24.37
3 West_Med 14.81
4 East_Med 14.49
5 West_Asian 10.05
6 Red_Sea 3.2
7 South_Asian 2.96
8 Siberian 0.96
9 Amerindian 0.79
10 Oceanian 0.51
11 East_Asian 0.37
12 Sub-Saharan 0.06


Single Population Sharing:


# Population (source) Distance
1 Serbian 3.82
2 Romanian 5.21
3 Moldavian 6.82
4 Bulgarian 7.47
5 Hungarian 9.64
6 Croatian 9.66
7 Austrian 13.07
8 East_German 14.51
9 Greek_Thessaly 15.41
10 Ukrainian_Lviv 15.77
11 South_Polish 16.67
12 Ukrainian 17.28
13 West_German 18.07
14 North_Italian 18.94
15 French 19.51
16 South_Dutch 19.61
17 Tuscan 19.84
18 Polish 20.16
19 Southwest_Russian 20.29
20 Ukrainian_Belgorod 20.47


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 92.8% Serbian + 7.2% MA-1 @ 1.76
2 95% Serbian + 5% Kshatriya @ 2.12
3 93.9% Serbian + 6.1% Pathan @ 2.13
4 95% Serbian + 5% Gujarati @ 2.15
5 94.7% Serbian + 5.3% Brahmin_UP @ 2.16
6 94% Serbian + 6% Burusho @ 2.17
7 95.5% Serbian + 4.5% Kanjar @ 2.17
8 94.1% Serbian + 5.9% Punjabi_Jat @ 2.18
9 95.4% Serbian + 4.6% Dharkar @ 2.19
10 95.8% Serbian + 4.2% North_Kannadi @ 2.2
11 95.1% Serbian + 4.9% Bangladeshi @ 2.21
12 57.6% Ukrainian_Lviv + 42.4% Italian_Abruzzo @ 2.24
13 95.8% Serbian + 4.2% Dusadh @ 2.25
14 95.8% Serbian + 4.2% Velamas @ 2.25
15 95.8% Serbian + 4.2% Kurumba @ 2.25
16 95.6% Serbian + 4.4% Uttar_Pradesh @ 2.26
17 95.8% Serbian + 4.2% Kol @ 2.26
18 96% Serbian + 4% Piramalai @ 2.26
19 96.1% Serbian + 3.9% Chamar @ 2.28
20 94.8% Serbian + 5.2% Sindhi @ 2.3


<tbody>
Distance to:
Vrancea_ind


3.72687537
Romania_Moldova_Nord


4.23566996
Romania_Moldova_Csango


4.26357831
Romania_Moldova_Sud


4.77035638
Romania_Maramures


5.06848103
Romania_Crisana


5.20433473
Romania_Transilvania


5.78822154
Romania_Transilvania_Szekely


5.81740203
Romania_Transilvania_Hungarian


5.85281983
Romania_Oltenia


6.54508976
Romania_Banat


6.89567981
Romania_Muntenia


7.19720779
Romania_Dobrogea


8.54732122
Bulgarian


11.56619644
Aromanian_North-Macedonia-Highlander


11.63663182
Aromanian_North-Macedonia


12.86839928
Ukrainian_Ivano_Frankivsk


16.90102955
Aromanian_Central-Macedonia


17.98864364
Ukrainian_Lviv


25.34448263
Crimean_Tatar


27.50770801
Romania_Dobruja_Tatar


30.37712462
Romania_Jewish


31.46442753
Romania_Roma

</tbody>


Target: Vrancea_ind
Distance: 2.0924% / 2.09235315 | ADC: 0.25x
86.8 Romania_Moldova_Nord
7.4 Romania_Roma
4.4 Aromanian_North-Macedonia
1.4 Ukrainian_Lviv


At almost 3% South Asian would you categorize him/her as part Roma and put him/her in a "just a bit of diversity" bin ?

[Leto]

At almost 3% South Asian would you categorize him/her as part Roma and put him/her in a "just a bit of diversity" bin ?
You'd need HarappaWorld or Dodecad for that. K13's SA is a more mixed component.

[Ion Basescul]

You think 5-10% East Eurasia can be phenotypically noticeable?

Can we not, I know you are insecure, but let's leave this discussion. It will manifest in some, but probably not in most.

[Leto]

Can we not, I know you are insecure, but let's leave this discussion. It will manifest in some, but probably not in most.
Lol. Actually I agree with your last part. And I personally don't show it whatsoever, I can send you my photo. Just an interesting subject. Though we are indeed attacked sometimes as Mongols (therefore subhuman in some way), so it makes me a bit uncomfortable.

[Ion Basescul]

At almost 3% South Asian would you categorize him/her as part Roma and put him/her in a "just a bit of diversity" bin ?

No, for Roma I put them in mixed after it surpasses 4%. This person is between 1/8 and more distant, so not that relevant.

[Ion Basescul]

Lol. Actually I agree with your last part. And I personally don't show it whatsoever, I can send you my photo. Just an interesting subject. Though we are indeed attacked sometimes as Mongols (therefore subhuman in some way), so it makes me a bit uncomfortable.

There's nothing uncomfortable about being related to the most advanced people in the world.

[Leto]

There's nothing uncomfortable about being related to the most advanced people in the world.
Ok. Sent you a rep comment (a bit too controversial) and also sending you my photo.

[Aspirin]

Strange logic. Those are linguistic terms. In us it (East Eurasian) is not "Turkic" most of the time (unless recent ancestry from the last 100 years or so) but it's noticeable sometimes, though without both photos and DNA results it's a rather pointless discussion. Chris also thought he should be Asian.

Turkic admixture is recent in some Europeans, 600-1500 years, and can affect very much the look of some European populations. Finno-Ugric one is more balanced, because the Mongoloid component is old, from Paleolithic. Slavs who assimilated Finno-Ugric populations show such traits, but are not so screaming, plus they are not swarthy. Turkic admixture most of time produce swarthy wogish look.

[WeirdLookingFellow]

Turkic admixture most of time produce very swarthy wogish look.

Can confirm, am example.

[Ion Basescul]

From Vrancea (Romania's Moldavia)

# Population Percent
1 Baltic 27.43
2 North_Atlantic 24.37
3 West_Med 14.81
4 East_Med 14.49
5 West_Asian 10.05
6 Red_Sea 3.2
7 South_Asian 2.96
8 Siberian 0.96
9 Amerindian 0.79
10 Oceanian 0.51
11 East_Asian 0.37
12 Sub-Saharan 0.06



That one was from Bacau, my bad. The one below him was from Vrancea, whose results I am also going to post.

While I am still at Bacau samples, here's another one, but without GEDmatch, since it's a donated kit.

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


24.24
27.89
14.20
9.72
16.82
3.08
0
1.03
1.49
0.28
0.76
0
0.48

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Bacau_ind


3.15428280
Romania_Moldova_Nord


3.76953578
Romania_Moldova_Sud


4.24709312
Romania_Crisana


4.45412169
Romania_Transilvania


4.81651326
Romania_Maramures


4.83485263
Romania_Moldova_Csango


5.20941455
Romania_Oltenia


5.58862237
Romania_Banat


5.97488912
Romania_Muntenia


6.18553959
Romania_Dobrogea


6.48234334
Romania_Transilvania_Szekely


6.99467516
Romania_Transilvania_Hungarian


7.30157517
Bulgarian


10.47111264
Aromanian_North-Macedonia-Highlander


11.13796660
Aromanian_North-Macedonia


13.09344111
Ukrainian_Ivano_Frankivsk


16.10390325
Aromanian_Central-Macedonia


18.79684548
Ukrainian_Lviv


25.61376388
Crimean_Tatar


27.65652726
Romania_Dobruja_Tatar


29.13511284
Romania_Jewish


33.57124216
Romania_Roma


</tbody>


Target: Bacau_ind
Distance: 1.8033% / 1.80329849 | ADC: 0.25x
89.4 Romania_Moldova_Nord
5.6 Romania_Jewish
3.6 Aromanian_North-Macedonia-Highlander
1.4 Crimean_Tatar

-Aromanian, Jewish
Target: Bacau_ind
Distance: 2.2190% / 2.21899967 | ADC: 0.25x
68.8 Romania_Moldova_Nord
25.2 Romania_Muntenia
4.8 Romania_Crisana
1.2 Crimean_Tatar




<tbody>
Distance to:
Bacau_ind


1.75014285
Romania_Moldavia_Neamt


2.51362288
Romania_Moldavia_Iasi


3.36370332
Romania_Moldavia_Botosani


3.79357351
Romania_Moldavia_Vaslui


4.02471117
Romania_Moldavia_Bacau


5.35673408
Romania_Moldavia_Suceava


5.57847649
Romania_Moldavia_Galati


5.61996441
Romania_Moldavia_Vrancea


</tbody>

[Ion Basescul]

Can confirm, am example.

Yours is below average though.

[WeirdLookingFellow]

Yours is below average though.

Results may be but the tan isn't.

[Aspirin]

Yours is below average though.

He mean his look.

[Ion Basescul]

The one below him was from Vrancea, whose results I am also going to post.


Vrancea (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


23.92
23.07
20.63
9.31
15.68
1.32
2.74
1.52
0.53
1.01
0
0.15
0.13

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Vrancea_ind


4.76904603
Romania_Oltenia


5.10830696
Romania_Transilvania


5.73163153
Romania_Moldova_Sud


6.28672411
Romania_Dobrogea


6.37169522
Romania_Banat


6.62083832
Romania_Muntenia


6.94615001
Bulgarian


7.13450769
Romania_Crisana


7.57097748
Aromanian_North-Macedonia


8.45184004
Romania_Maramures


8.96977146
Aromanian_North-Macedonia-Highlander


9.17158111
Romania_Moldova_Nord


9.35592860
Romania_Moldova_Csango


9.66438753
Romania_Transilvania_Szekely


10.04522747
Romania_Transilvania_Hungarian


12.05801393
Aromanian_Central-Macedonia


18.09006357
Ukrainian_Ivano_Frankivsk


23.61435580
Ukrainian_Lviv


26.84505355
Crimean_Tatar


27.01988897
Romania_Jewish


29.72197335
Romania_Dobruja_Tatar


30.36788929
Romania_Roma

</tbody>



Target: Vrancea_ind
Distance: 4.0314% / 4.03143361 | ADC: 0.25x
30.6 Aromanian_North-Macedonia
29.0 Romania_Transilvania
20.4 Romania_Transilvania_Hungarian
15.4 Romania_Oltenia
4.4 Romania_Roma
0.2 Aromanian_Central-Macedonia

-Aromanian, Hungarian
Target: Vrancea_ind
Distance: 4.4326% / 4.43256924 | ADC: 0.25x
87.2 Romania_Oltenia
7.8 Romania_Crisana
5.0 Romania_Roma

-Oltenia, Crisana, Transilvania
Target: Vrancea_ind
Distance: 5.0167% / 5.01665884 | ADC: 0.25x
90.2 Romania_Moldova_Sud
7.2 Romania_Roma
2.6 Romania_Dobrogea






<tbody>
Distance to:
Vrancea_ind


4.22814380
Romania_Moldavia_Galati


6.29470412
Romania_Moldavia_Bacau


6.81926682
Romania_Moldavia_Vrancea


7.35243497
Romania_Moldavia_Iasi


7.64440972
Romania_Moldavia_Vaslui


8.25953994
Romania_Moldavia_Neamt


9.70001546
Romania_Moldavia_Botosani


10.90740116
Romania_Moldavia_Suceava

</tbody>

[Leto]

Turkic admixture is recent in some Europeans, 600-1500 years, and can affect very much the look of some European populations. Finno-Ugric one is more balanced, because the Mongoloid component is old, from Paleolithic. Slavs who assimilated Finno-Ugric populations show such traits, but are not so screaming, plus they are not swarthy. Turkic admixture most of time produce swarthy wogish look.
Well, Volga Tatars can be very light, can be like you (pretty common), can be slightly darker as well. But I think their EE is not entirely from the Volga Bulgars. Some other Turkics are mixed with dark Caucasoids.

[Ion Basescul]

Results may be but the tan isn't.

Lucky bastard

https://i.kym-cdn.com/photos/images/newsfeed/001/569/458/f2e.png

[Ion Basescul]

Last one for today comes from Iasi (Romania's Moldavia).



# Population Percent
1 North_Atlantic 24.97
2 Baltic 24.41
3 West_Med 19.71
4 East_Med 13.32
5 West_Asian 10.78
6 Red_Sea 3.16
7 East_Asian 2.38
8 Siberian 0.77
9 Amerindian 0.5


Single Population Sharing:


# Population (source) Distance
1 Romanian 5.31
2 Serbian 5.66
3 Bulgarian 7.1
4 Moldavian 9.99
5 Hungarian 12.17
6 Croatian 12.58
7 Greek_Thessaly 13.88
8 Austrian 13.95
9 North_Italian 15.2
10 East_German 15.71
11 Tuscan 16.83
12 French 17.59
13 West_German 17.64
14 Ukrainian_Lviv 18.89
15 South_Dutch 18.9
16 Portuguese 18.91
17 Spanish_Galicia 18.98
18 Italian_Abruzzo 19.18
19 South_Polish 19.76
20 Spanish_Extremadura 19.94


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 63.9% Moldavian + 36.1% Tuscan @ 3.69
2 61.5% Moldavian + 38.5% North_Italian @ 3.82
3 90.6% Serbian + 9.4% Sardinian @ 4.13
4 69.1% Moldavian + 30.9% West_Sicilian @ 4.4
5 92.3% Romanian + 7.7% French_Basque @ 4.44
6 88.3% Romanian + 11.7% Southwest_French @ 4.45
7 61.4% Croatian + 38.6% Italian_Abruzzo @ 4.53
8 67.7% Moldavian + 32.3% Italian_Abruzzo @ 4.54
9 58% Croatian + 42% Tuscan @ 4.56
10 63.1% Croatian + 36.9% West_Sicilian @ 4.56
11 89.1% Romanian + 10.9% Spanish_Cantabria @ 4.6
12 53.1% Tuscan + 46.9% Ukrainian_Lviv @ 4.6
13 87.9% Romanian + 12.1% Spanish_Galicia @ 4.66
14 52.2% Ukrainian_Lviv + 47.8% West_Sicilian @ 4.74
15 90.3% Romanian + 9.7% Spanish_Castilla_La_Mancha @ 4.77
16 86.6% Romanian + 13.4% East_German @ 4.78
17 91.5% Romanian + 8.5% Spanish_Aragon @ 4.79
18 74.1% Bulgarian + 25.9% East_German @ 4.8
19 89.9% Romanian + 10.1% Spanish_Castilla_Y_Leon @ 4.8
20 50.4% Ukrainian_Lviv + 49.6% Italian_Abruzzo @ 4.81



<tbody>
Distance to:
Iasi_ind


5.39272658
Romania_Oltenia


5.41737021
Romania_Moldova_Sud


5.52317843
Romania_Transilvania


6.80265389
Romania_Crisana


7.11145555
Romania_Banat


7.30035616
Romania_Dobrogea


7.66951759
Romania_Maramures


7.79336898
Romania_Muntenia


7.96314446
Romania_Transilvania_Szekely


8.01300193
Romania_Moldova_Nord


8.15536020
Bulgarian


8.18860763
Romania_Transilvania_Hungarian


8.19161156
Romania_Moldova_Csango


8.79176888
Aromanian_North-Macedonia


10.55625407
Aromanian_North-Macedonia-Highlander


14.30375475
Aromanian_Central-Macedonia


16.61117997
Ukrainian_Ivano_Frankivsk


21.35908940
Ukrainian_Lviv


26.00835250
Crimean_Tatar


28.57579045
Romania_Dobruja_Tatar


29.45320865
Romania_Jewish


33.17838152
Romania_Roma

</tbody>




Target: Iasi_ind
Distance: 3.6989% / 3.69891125 | ADC: 0.25x
51.6 Romania_Transilvania_Hungarian
47.0 Aromanian_North-Macedonia
1.4 Crimean_Tatar

-Aromanian, Hungarian
Target: Iasi_ind
Distance: 5.0791% / 5.07905817 | ADC: 0.25x
92.0 Romania_Oltenia
5.8 Ukrainian_Lviv
2.2 Crimean_Tatar

-Oltenia, Crisana, Transilvania
Target: Iasi_ind
Distance: 5.3636% / 5.36358634 | ADC: 0.25x
98.0 Romania_Moldova_Sud
2.0 Crimean_Tatar






<tbody>
Distance to:
Iasi_ind


5.59722253
Romania_Moldavia_Galati


5.93177882
Romania_Moldavia_Bacau


6.24691124
Romania_Moldavia_Vaslui


6.73087661
Romania_Moldavia_Vrancea


6.92288957
Romania_Moldavia_Iasi


6.99456217
Romania_Moldavia_Neamt


8.53392055
Romania_Moldavia_Botosani


9.40059041
Romania_Moldavia_Suceava


</tbody>

[Aspirin]

Last one for today comes from Iasi (Romania's Moldavia).

From the city?

[Aspirin]

Well, Volga Tatars can be very light, can be like you (pretty common), can be slightly darker as well. But I think their EE is not entirely from the Volga Bulgars. Some other Turkics are mixed with dark Caucasoids.

Volga Tatars live in the area surounded by many Finno-Ugric populations, plus exist other Turkic populations in that region like Chuvash and Bashkir who have way more dark types than any Finno-Ugric population from the Volga region.

[Leto]

Volga Tatars live in the area surounded by many Finno-Ugric populations, plus exist other Turkic populations in that region like Chuvash and Bashkir who have way more dark types than any Finno-Ugric population from the Volga region.
Not sure about Chuvash being darker than the others. They're very similar to Mari people for example. Bashkirs are more Eastern both genetically and geographically (Yuzhnoye Priuralye), so it's no surprise.
Let's not derail the thread any further, I admit I was the one who started.

[Aspirin]

Not sure about Chuvash being darker than the others. They're very similar to Mari people for example. Bashkirs are more Eastern both genetically and geographically (Yuzhnoye Priuralye), so it's no surprise.
Let's not derail the thread any further, I admit I was the one who started.

Well, I was 6 years ago in that region, so I managed to see some local people.

[Ion Basescul]

From the city?

Could be, I only know the county and nothing more specific for this one.

[Aspirin]

7 East_Asian 2.38
8 Siberian 0.77



https://www.youtube.com/watch?v=AMndPTS0KLY

[Ion Basescul]

https://www.youtube.com/watch?v=AMndPTS0KLY

There's also some Amerindian on top that you forgot to quote.


https://www.youtube.com/watch?v=WgD57y4Tkng

[Ion Basescul]

Romanian from Botosani, grandparent of another one from Suceava that I've posted in the past.


# Population Percent
1 Baltic 40
2 North_Atlantic 18.23
3 West_Med 15.66
4 East_Med 10.78
5 West_Asian 8.32
6 South_Asian 2.34
7 Amerindian 1.93
8 Siberian 1
9 Oceanian 0.99
10 East_Asian 0.76


Single Population Sharing:


# Population (source) Distance
1 Moldavian 8.28
2 Croatian 9.02
3 Ukrainian_Lviv 10.27
4 Ukrainian 10.76
5 Southwest_Russian 12.34
6 Ukrainian_Belgorod 12.63
7 South_Polish 12.69
8 Polish 14.39
9 Russian_Smolensk 14.72
10 Serbian 14.74
11 Hungarian 14.8
12 Estonian_Polish 14.95
13 Kargopol_Russian 15.72
14 Erzya 15.93
15 Belorussian 16.23
16 Romanian 16.54
17 Bulgarian 17.22
18 East_German 18.65
19 Austrian 19.2
20 Tatar 19.39


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 52.2% Erzya + 47.8% Bulgarian @ 6.15
2 62.6% Erzya + 37.4% Greek_Thessaly @ 6.24
3 74.3% Moldavian + 25.7% Erzya @ 6.59
4 84.2% Ukrainian + 15.8% Cyprian @ 6.7
5 70.3% Southwest_Russian + 29.7% Greek_Thessaly @ 6.77
6 68.6% Erzya + 31.4% Central_Greek @ 6.81
7 86.1% Ukrainian + 13.9% Lebanese_Christian @ 6.83
8 85.8% Ukrainian + 14.2% Samaritan @ 6.84
9 71.2% Lithuanian + 28.8% Cyprian @ 6.86
10 81.4% Southwest_Russian + 18.6% Cyprian @ 6.88
11 69.7% Ukrainian_Belgorod + 30.3% Greek_Thessaly @ 6.89
12 85.6% Ukrainian + 14.4% Assyrian @ 6.9
13 52.8% Kargopol_Russian + 47.2% Bulgarian @ 6.92
14 82.1% Ukrainian_Belgorod + 17.9% Sardinian @ 6.92
15 51.1% Erzya + 48.9% Romanian @ 6.92
16 75.5% Southwest_Russian + 24.5% Central_Greek @ 6.92
17 60.7% Southwest_Russian + 39.3% Bulgarian @ 6.93
18 71.5% Erzya + 28.5% South_Italian @ 6.94
19 85.6% Ukrainian + 14.4% Georgian_Jewish @ 6.96
20 77.2% Estonian_Polish + 22.8% Cyprian @ 6.97

They have comparable levels of N_Atlantic+Baltic, meaning that the rest of the 3gp had a similar genetic profile:
https://i.imgur.com/olmb2BD.png

[Jana]

Romanian from Botosani, grandparent of another one from Suceava that I've posted in the past.


# Population Percent
1 Baltic 40
2 North_Atlantic 18.23
3 West_Med 15.66
4 East_Med 10.78
5 West_Asian 8.32
6 South_Asian 2.34
7 Amerindian 1.93
8 Siberian 1
9 Oceanian 0.99
10 East_Asian 0.76


Single Population Sharing:


# Population (source) Distance
1 Moldavian 8.28
2 Croatian 9.02
3 Ukrainian_Lviv 10.27
4 Ukrainian 10.76
5 Southwest_Russian 12.34
6 Ukrainian_Belgorod 12.63
7 South_Polish 12.69
8 Polish 14.39
9 Russian_Smolensk 14.72
10 Serbian 14.74
11 Hungarian 14.8
12 Estonian_Polish 14.95
13 Kargopol_Russian 15.72
14 Erzya 15.93
15 Belorussian 16.23
16 Romanian 16.54
17 Bulgarian 17.22
18 East_German 18.65
19 Austrian 19.2
20 Tatar 19.39


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 52.2% Erzya + 47.8% Bulgarian @ 6.15
2 62.6% Erzya + 37.4% Greek_Thessaly @ 6.24
3 74.3% Moldavian + 25.7% Erzya @ 6.59
4 84.2% Ukrainian + 15.8% Cyprian @ 6.7
5 70.3% Southwest_Russian + 29.7% Greek_Thessaly @ 6.77
6 68.6% Erzya + 31.4% Central_Greek @ 6.81
7 86.1% Ukrainian + 13.9% Lebanese_Christian @ 6.83
8 85.8% Ukrainian + 14.2% Samaritan @ 6.84
9 71.2% Lithuanian + 28.8% Cyprian @ 6.86
10 81.4% Southwest_Russian + 18.6% Cyprian @ 6.88
11 69.7% Ukrainian_Belgorod + 30.3% Greek_Thessaly @ 6.89
12 85.6% Ukrainian + 14.4% Assyrian @ 6.9
13 52.8% Kargopol_Russian + 47.2% Bulgarian @ 6.92
14 82.1% Ukrainian_Belgorod + 17.9% Sardinian @ 6.92
15 51.1% Erzya + 48.9% Romanian @ 6.92
16 75.5% Southwest_Russian + 24.5% Central_Greek @ 6.92
17 60.7% Southwest_Russian + 39.3% Bulgarian @ 6.93
18 71.5% Erzya + 28.5% South_Italian @ 6.94
19 85.6% Ukrainian + 14.4% Georgian_Jewish @ 6.96
20 77.2% Estonian_Polish + 22.8% Cyprian @ 6.97

They have comparable levels of N_Atlantic+Baltic, meaning that the rest of the 3gp had a similar genetic profile:
https://i.imgur.com/olmb2BD.png

Very much Slavic. This region seem very northern.

[Jana]

...

Will you do the test someday? 23andme V5 not worth it, Myheritage is now half price and if you decide to test I recommend them.

[Ion Basescul]

Very much Slavic. This region seem very northern.

They have foreign ancestry (Rusyn and Polish) from the late 18th century, but that's too distant to be considered mixed. But yeah, Botosani and Suceava are the Northern-most. They must have assimilated a lot of Ukrainian/Rusyns in the past.

[Aspirin]

Very much Slavic. This region seem very northern.

Seems to have recent Slavic admixture, for Botoșani, and in general for both Romanian Moldova and Republic he is totally atypical with such high Baltic score.

[Aspirin]

Will you do the test someday? 23andme V5 not worth it, Myheritage is now half price and if you decide to test I recommend them.

Not now, but I want to test my parents too, not only me.

[Leto]

Not now, but I want to test my parents too, not only me.
You've been talking about it for about a year. Since early 2020 at least ;)

[WeirdLookingFellow]

They have foreign ancestry (Rusyn and Polish) from the late 18th century, but that's too distant to be considered mixed. But yeah, Botosani and Suceava are the Northern-most. They must have assimilated a lot of Ukrainian/Rusyns in the past.

Rusyn ancestry can go back as early as 15th century. Also 40% Baltic now that's something, new record I guess.

[WeirdLookingFellow]

You've been talking about it for about a year. Since early 2020 at least ;)

Finances have been difficult since Russians stopped buying Moldovan wine.

[Ion Basescul]

Seems to have recent Slavic admixture, for Botoșani, and in general for both Romanian Moldova and Republic he is totally atypical with such high Baltic score.

Both you and Stearsolina should take both N_Atlantic and Baltic into account, considering that Ukrainians score about 25% NA and 45% Baltic on average. So having 40% Baltic and 18% North Atlantic (below the average for Moldova and Romania) indicates that the components were not distributed in a balanced manner. This is a 23andme v5 result, so only 58k SNPs for Eurogenes K13.

[Ion Basescul]

You've been talking about it for about a year. Since early 2020 at least ;)


Finances have been difficult since Russians stopped buying Moldovan wine.

You guys shouldn't bully and peer pressure. If I only worked in Moldova, getting a genetic test would be one of my last priorities.

[WeirdLookingFellow]

You guys shouldn't bully and peer pressure. If I only worked in Moldova, getting a genetic test would be one of my last priorities.

I know and I respect his decision, I make a Romanian salary and I'm not asking my entire family to swab their cheeks. Tho I should to figure out who has Kraut blood.

It's still funny tho.

[Aspirin]

You've been talking about it for about a year. Since early 2020 at least ;)

I need money now, and even if I will test only myself, I will not be satisfied. I want to test both parents too, since they both are full ethnic Moldavians from rural area, but from two neighboring district.

[Leto]

I need money now, and even if I will test only myself, I will not be satisfied. I want to test both parents too, since they both are full ethnic Moldavians from rural area, but from two neighboring district.
Are there any results from your districts?

[Ion Basescul]

I know and I respect his decision, I make a Romanian salary and I'm not asking my entire family to swab their cheeks. Tho I should to figure out who has Kraut blood.

It's still funny tho.Probably the side from Suceava, if I were yo guess.

Sent from my Redmi 4X using Tapatalk

[Leto]

@Ion Basescul, you have these two, don't you?

Population
North_Atlantic 28.01 Pct
Baltic 33.71 Pct
West_Med 12.74 Pct
West_Asian 9.95 Pct
East_Med 10.04 Pct
Red_Sea 1.66 Pct
South_Asian -
East_Asian 1.26 Pct
Siberian 2.01 Pct
Amerindian 0.51 Pct
Oceanian 0.11 Pct
Northeast_African -
Sub-Saharan -

Single Population Sharing:

# Population (source) Distance
1 Croatian 4
2 Moldavian 4.15
3 Hungarian 5.07
4 Serbian 8.17
5 Ukrainian_Lviv 8.85
6 South_Polish 9.24
7 Austrian 9.57
8 East_German 9.87
9 Ukrainian 10.24
10 Romanian 11.96
11 Polish 12.94
12 Southwest_Russian 13.56
13 Ukrainian_Belgorod 13.68
14 Bulgarian 14.31
15 Russian_Smolensk 15.13
16 Estonian_Polish 15.85
17 Belorussian 16.28
18 West_German 17.03
19 Kargopol_Russian 17.29
20 Southwest_Finnish 17.32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.1% Moldavian + 15.9% North_Swedish @ 2.4
2 57% Moldavian + 43% Hungarian @ 2.46
3 85.8% Moldavian + 14.2% Swedish @ 2.51
4 76.2% South_Polish + 23.8% Italian_Abruzzo @ 2.53
5 87.1% Moldavian + 12.9% Norwegian @ 2.54
6 56.8% South_Polish + 43.2% Romanian @ 2.59
7 85.2% Moldavian + 14.8% North_German @ 2.64
8 52.2% Serbian + 47.8% Ukrainian_Lviv @ 2.64
9 62.5% Romanian + 37.5% Estonian @ 2.65
10 92.1% Croatian + 7.9% Nogay @ 2.68
11 62.1% Romanian + 37.9% Finnish @ 2.68
12 87.1% Moldavian + 12.9% Danish @ 2.7
13 87.3% Moldavian + 12.7% North_Dutch @ 2.71
14 68.9% Serbian + 31.1% Kargopol_Russian @ 2.74
15 63.5% Serbian + 36.5% Ukrainian_Belgorod @ 2.76
16 53.4% Serbian + 46.6% South_Polish @ 2.77
17 77.1% South_Polish + 22.9% Central_Greek @ 2.78
18 79.5% South_Polish + 20.5% South_Italian @ 2.85
19 71.7% Serbian + 28.3% Estonian @ 2.86
20 56.2% Serbian + 43.8% Ukrainian @ 2.88


Population
North_Atlantic 25.50 Pct
Baltic 39.14 Pct
West_Med 13.68 Pct
West_Asian 10.09 Pct
East_Med 7.49 Pct
Red_Sea 0.57 Pct
South_Asian 0.24 Pct
East_Asian 0.75 Pct
Siberian 1.75 Pct
Amerindian -
Oceanian 0.39 Pct
Northeast_African 0.10 Pct
Sub-Saharan 0.30 Pct

Single Population Sharing:

# Population (source) Distance
1 Croatian 4.54
2 Ukrainian_Lviv 4.94
3 Moldavian 6
4 Ukrainian 6.1
5 South_Polish 6.62
6 Ukrainian_Belgorod 9.25
7 Southwest_Russian 9.28
8 Polish 9.46
9 Hungarian 9.67
10 Russian_Smolensk 10.97
11 Estonian_Polish 11.78
12 Belorussian 12.61
13 East_German 12.69
14 Serbian 12.98
15 Kargopol_Russian 13.18
16 Austrian 13.49
17 Erzya 14.72
18 Romanian 16.28
19 Estonian 16.38
20 Southwest_Finnish 16.39

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.2% Ukrainian + 9.8% Georgian @ 2.26
2 90.2% Ukrainian + 9.8% Armenian @ 2.27
3 90.6% Ukrainian + 9.4% Abhkasian @ 2.29
4 61.8% Moldavian + 38.2% Ukrainian_Belgorod @ 2.31
5 88.6% Ukrainian + 11.4% Turkish @ 2.4
6 50.5% Moldavian + 49.5% Ukrainian @ 2.44
7 74.9% Moldavian + 25.1% Lithuanian @ 2.46
8 88.6% Ukrainian + 11.4% Balkar @ 2.47
9 89.4% Ukrainian + 10.6% Ossetian @ 2.48
10 66.2% Moldavian + 33.8% Russian_Smolensk @ 2.49
11 62.2% Moldavian + 37.8% Southwest_Russian @ 2.56
12 90.3% Ukrainian + 9.7% Georgian_Jewish @ 2.58
13 88.9% Ukrainian + 11.1% Adygei @ 2.58
14 56.3% Ukrainian_Lviv + 43.7% Moldavian @ 2.59
15 92.6% Ukrainian_Lviv + 7.4% Armenian @ 2.63
16 88.3% Ukrainian + 11.7% Kabardin @ 2.63
17 79.7% Croatian + 20.3% Erzya @ 2.64
18 88.2% Ukrainian + 11.8% Kumyk @ 2.65
19 92.9% Ukrainian_Lviv + 7.1% Abhkasian @ 2.65
20 89.2% Ukrainian + 10.8% North_Ossetian @ 2.67

I found them in an txt file from 2017-18, for some damn reason I listed them as being from Moldova.

[Aspirin]

Are there any results from your districts?

Only these ones from my district, Fălești, Central-North region. But only 23andme results.


https://i.imgur.com/XhwSrtO.png
https://i.imgur.com/91vwQ0A.png


Plus this one with half ancestry from here: https://www.theapricity.com/forum/showthread.php?318490-Moldovan-Romanian-GEDmatch-Resuts&p=6777411&viewfull=1#post6777411

[Jana]

Both you and Stearsolina should take both N_Atlantic and Baltic into account, considering that Ukrainians score about 25% NA and 45% Baltic on average. So having 40% Baltic and 18% North Atlantic (below the average for Moldova and Romania) indicates that the components were not distributed in a balanced manner. This is a 23andme v5 result, so only 58k SNPs for Eurogenes K13.

Right.I didn't even notice low NA, it's unusualy low. Might be problem with V5 data.
Knez 01 also had same problem high Baltic and very low NA (lowest overall), and it was bit more balanced after conversion to V3.

[Ion Basescul]

@Ion Basescul, you have these two, don't you?

Population
North_Atlantic 28.01 Pct
Baltic 33.71 Pct
West_Med 12.74 Pct
West_Asian 9.95 Pct
East_Med 10.04 Pct
Red_Sea 1.66 Pct
South_Asian -
East_Asian 1.26 Pct
Siberian 2.01 Pct
Amerindian 0.51 Pct
Oceanian 0.11 Pct
Northeast_African -
Sub-Saharan -

Single Population Sharing:

# Population (source) Distance
1 Croatian 4
2 Moldavian 4.15
3 Hungarian 5.07
4 Serbian 8.17
5 Ukrainian_Lviv 8.85
6 South_Polish 9.24
7 Austrian 9.57
8 East_German 9.87
9 Ukrainian 10.24
10 Romanian 11.96
11 Polish 12.94
12 Southwest_Russian 13.56
13 Ukrainian_Belgorod 13.68
14 Bulgarian 14.31
15 Russian_Smolensk 15.13
16 Estonian_Polish 15.85
17 Belorussian 16.28
18 West_German 17.03
19 Kargopol_Russian 17.29
20 Southwest_Finnish 17.32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.1% Moldavian + 15.9% North_Swedish @ 2.4
2 57% Moldavian + 43% Hungarian @ 2.46
3 85.8% Moldavian + 14.2% Swedish @ 2.51
4 76.2% South_Polish + 23.8% Italian_Abruzzo @ 2.53
5 87.1% Moldavian + 12.9% Norwegian @ 2.54
6 56.8% South_Polish + 43.2% Romanian @ 2.59
7 85.2% Moldavian + 14.8% North_German @ 2.64
8 52.2% Serbian + 47.8% Ukrainian_Lviv @ 2.64
9 62.5% Romanian + 37.5% Estonian @ 2.65
10 92.1% Croatian + 7.9% Nogay @ 2.68
11 62.1% Romanian + 37.9% Finnish @ 2.68
12 87.1% Moldavian + 12.9% Danish @ 2.7
13 87.3% Moldavian + 12.7% North_Dutch @ 2.71
14 68.9% Serbian + 31.1% Kargopol_Russian @ 2.74
15 63.5% Serbian + 36.5% Ukrainian_Belgorod @ 2.76
16 53.4% Serbian + 46.6% South_Polish @ 2.77
17 77.1% South_Polish + 22.9% Central_Greek @ 2.78
18 79.5% South_Polish + 20.5% South_Italian @ 2.85
19 71.7% Serbian + 28.3% Estonian @ 2.86
20 56.2% Serbian + 43.8% Ukrainian @ 2.88


Population
North_Atlantic 25.50 Pct
Baltic 39.14 Pct
West_Med 13.68 Pct
West_Asian 10.09 Pct
East_Med 7.49 Pct
Red_Sea 0.57 Pct
South_Asian 0.24 Pct
East_Asian 0.75 Pct
Siberian 1.75 Pct
Amerindian -
Oceanian 0.39 Pct
Northeast_African 0.10 Pct
Sub-Saharan 0.30 Pct

Single Population Sharing:

# Population (source) Distance
1 Croatian 4.54
2 Ukrainian_Lviv 4.94
3 Moldavian 6
4 Ukrainian 6.1
5 South_Polish 6.62
6 Ukrainian_Belgorod 9.25
7 Southwest_Russian 9.28
8 Polish 9.46
9 Hungarian 9.67
10 Russian_Smolensk 10.97
11 Estonian_Polish 11.78
12 Belorussian 12.61
13 East_German 12.69
14 Serbian 12.98
15 Kargopol_Russian 13.18
16 Austrian 13.49
17 Erzya 14.72
18 Romanian 16.28
19 Estonian 16.38
20 Southwest_Finnish 16.39

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.2% Ukrainian + 9.8% Georgian @ 2.26
2 90.2% Ukrainian + 9.8% Armenian @ 2.27
3 90.6% Ukrainian + 9.4% Abhkasian @ 2.29
4 61.8% Moldavian + 38.2% Ukrainian_Belgorod @ 2.31
5 88.6% Ukrainian + 11.4% Turkish @ 2.4
6 50.5% Moldavian + 49.5% Ukrainian @ 2.44
7 74.9% Moldavian + 25.1% Lithuanian @ 2.46
8 88.6% Ukrainian + 11.4% Balkar @ 2.47
9 89.4% Ukrainian + 10.6% Ossetian @ 2.48
10 66.2% Moldavian + 33.8% Russian_Smolensk @ 2.49
11 62.2% Moldavian + 37.8% Southwest_Russian @ 2.56
12 90.3% Ukrainian + 9.7% Georgian_Jewish @ 2.58
13 88.9% Ukrainian + 11.1% Adygei @ 2.58
14 56.3% Ukrainian_Lviv + 43.7% Moldavian @ 2.59
15 92.6% Ukrainian_Lviv + 7.4% Armenian @ 2.63
16 88.3% Ukrainian + 11.7% Kabardin @ 2.63
17 79.7% Croatian + 20.3% Erzya @ 2.64
18 88.2% Ukrainian + 11.8% Kumyk @ 2.65
19 92.9% Ukrainian_Lviv + 7.1% Abhkasian @ 2.65
20 89.2% Ukrainian + 10.8% North_Ossetian @ 2.67

I found them in an txt file from 2017-18, for some damn reason I listed them as being from Moldova.

I am not sure I have the first one, need to check closer (send GEDmatch if you have and I'll ask them), but the second one is a 3/4 Moldovan Ukrainian from Riscani district and 1/4 from Poltava Ukraine.

https://www.theapricity.com/forum/showthread.php?327651-Moldovan-Romanian-GEDmatch-Results-v2&p=6797716&viewfull=1#post6797716

[Ion Basescul]

Right.I didn't even notice low NA, it's unusualy low. Might be problem with V5 data.
Knez 01 also had same problem high Baltic and very low NA (lowest overall), and it was bit more balanced after conversion to V3.

The nephew doesn't have this problem and the sum of those components is basically the same. That's because he tested with the old Ancestry test.



I also had the same problem with the kits of my family when compared to mine and that got resolved after imputation.

[Lucas]

First results from Telenesti (Republic of Moldova) and I got two of them at once. Nice

https://i.imgur.com/9DOx1Ch.jpg

I think this one is almost identical to mine.


Is Guta from this area?:)

[Ion Basescul]

Is Guta from this area?:)

No, he is from Hunedoara county, so Southwest Transylvania. That's just a reaction gif for when you count something.

[Lucas]

No, he is from Hunedoara county, so Southwest Transylvania. That's just a reaction gif for when you count something.

I guessed but wanted to be sure:)

[Aspirin]

Is Guta from this area?:)

Shit like this in RM don't exist.

[Leto]

Only these ones from my district, Fălești, Central-North region. But only 23andme results.


https://i.imgur.com/XhwSrtO.png
https://i.imgur.com/91vwQ0A.png


Plus this one with half ancestry from here: https://www.theapricity.com/forum/showthread.php?318490-Moldovan-Romanian-GEDmatch-Resuts&p=6777411&viewfull=1#post6777411
I see. You're almost certainly not going to be like Gagauz or Wallachians if you are like them, I think.

[Aspirin]

I see. You're almost certainly not going to be like Gagauz or Wallachians if you are like them, I think.

Well, my father side is from here, and looks quite Slavic. And I am interested to see father results because of look, since I don't know about any recent Slavic ancestry from his side.

[Ion Basescul]

I've got an interesting sample from Vaslui with 4gp from there.

It's preemptive to jump to conclusions, but some of you guys might want to prepare that apology speech for IncelSlayer (Vaslui is just above Galati).

Maybe Nurzat can tell us more about the profile in Vaslui. Are there Romanian villages that assimilated minorities in the past?

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


25.62
37.17
12.89
6.15
13.09
2.67
0
1.15
0
1.00
0
0
0.25

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Vaslui_ind


3.70656175
Ukrainian_Ivano_Frankivsk


4.03798217
Bosniak_Bosnia_NE&Central


5.13194895
Croat_Slavonia


5.45812239
Croat_Istria_&_Kvarner


5.86291736
Moldova_North


5.93504844
Croat_Croatia_Lika-Senj


5.93578133
Croat


6.05978547
Croat_B&H_Herzegovina


6.11496525
Croat_Croatia


6.22355204
Croat_B&H


6.32101258
Croat_B&H_Bosnia


6.52469923
Hungarian_Alfold


6.90902309
Croat_B&H_West_Bosnia


6.91737445
Bosniak_Sarajevo


7.10858636
Croat_Croatia_Dalmatia


7.37154665
Serb_B&H_Bosnia_proper


7.42233117
Hungarian_Northern


7.61747007
Slovak


7.61794592
Bosniak


7.77280516
Hungarian


7.88051394
Slovenian


8.26912329
Croat_Croatia_Zagorje


8.53021688
Serb_B&H


8.55643033
Croat_Croatia_Gorski_Kotar


8.67187984
Hungarian_Budapest

</tbody>


<tbody>
Distance to:
Vaslui_ind


3.70656175
Ukrainian_Ivano_Frankivsk


5.86291736
Republica_Moldova_Nord


8.22964155
Republica_Moldova_Ukrainian


8.91645670
Romania_Moldova_Csango


8.93457889
Romania_Moldova_Nord


8.94940221
Romania_Maramures


9.52551734
Romania_Transilvania_Hungarian


9.63086704
Ukrainian_Lviv


10.02325296
Republica_Moldova_Centru


10.34011646
Romania_Transilvania_Szekely


10.93241053
Romania_Crisana


12.50659026
Romania_Moldova_Sud


13.65454503
Romania_Transilvania


14.71615779
Romania_Banat


14.83793786
Romania_Oltenia


15.71195087
Republica_Moldova_Sud


16.06601071
Romania_Dobrogea


16.14385642
Romania_Muntenia


17.20852696
Bulgarian


19.39632439
Republica_Moldova_Sud_Gagauz


20.46946995
Aromanian_North-Macedonia-Highlander


20.69447028
Republica_Moldova_Bulgarian


21.17033538
Aromanian_North-Macedonia


26.13684947
Aromanian_Central-Macedonia


30.48095307
Romania_Dobruja_Tatar


31.01943745
Crimean_Tatar


39.05849459
Romania_Jewish


40.75691966
Romania_Roma



</tbody>


:033102st:
Target: Vaslui_ind
Distance: 2.7228% / 2.72276805 | ADC: 0.25x
82.2 Ukrainian_Ivano_Frankivsk
9.0 Republica_Moldova_Ukrainian
5.6 Aromanian_North-Macedonia-Highlander
3.2 Romania_Jewish


<tbody>
Distance to:
Vaslui_ind


4.59823879
Romania_Moldavia_Ukrainian


4.76195338
Moldova_Falesti


4.96501762
Moldova_1/2Moldovan_1/2EastSlavic


5.40576544
Moldova_Rezina


5.59710640
Moldova_Floresti


6.71645740
Moldova_Soldanesti


6.89422947
Moldova_Ocnita


7.03893458
Moldova_Balti


7.18047352
Romania_Moldavia_Suceava


7.54748302
Moldova_Edinet


7.70374584
Moldova_Transnistria


8.22964155
Moldova_Ukrainian


8.38045345
Moldova_Briceni


8.49676409
Moldova_Ialoveni


8.51711219
Moldova_Eurogenes


8.59051221
Romania_Moldavia_Botosani


8.92118826
Romania_Moldavia_Csango


8.92249965
Moldova_Nisporeni


9.17205539
Moldova_Glodeni


9.58496740
Moldova_Straseni


9.68546333
Moldova_Orhei


10.11729707
Moldova_Chisinau


10.17171569
Moldova_Calarasi


10.97702601
Romania_Moldavia_Iasi


11.06753812
Romania_Moldavia_Vaslui

</tbody>

[Aspirin]

I've got an interesting sample from Vaslui with 4gp from there.

It's preemptive to jump to conclusions, but some of you guys might want to prepare that apology speech for IncelSlayer (Vaslui is just above Galati).

Maybe Nurzat can tell us more about the profile in Vaslui. Are there Romanian villages that assimilated minorities in the past?


The only minorities in region hypothetically can be Csangos, but they don't live here, and are not so northern. Maybe some Ukrainians from the north came here, and assimilated.

[WeirdLookingFellow]

I've got an interesting sample from Vaslui with 4gp from there.

It's preemptive to jump to conclusions, but some of you guys might want to prepare that apology speech for IncelSlayer (Vaslui is just above Galati).

Maybe Nurzat can tell us more about the profile in Vaslui. Are there Romanian villages that assimilated minorities in the past?



Unless we're talking about heavy inbreeding of Rusyn boyars from the 13th century, then this man might just be mixed with a Russian that came from over the Prut or something.

Edit: Or Lipovan.

[Aspirin]

Rusyn boyars from the 13th century

???

[Leto]

Rusyn = Russian (russki) if we're talking about the 13th century.

[WeirdLookingFellow]

???

https://ro.qwe.wiki/wiki/Brodnici

[Aspirin]

https://ro.qwe.wiki/wiki/Brodnici



au fost un trib de origine incertă.

[Aspirin]

Rusyn = Russian (russki) if we're talking about the 13th century.

Yes, but in that area they didn't live, especially in that times (13th century).

[WeirdLookingFellow]

The joke was that he might be Ploskynya's successor.

Or maybe even Mazepa's, but he was buried in Galați, a bit too south.

https://en.wikipedia.org/wiki/Ivan_Mazepa

[Ion Basescul]

Unless we're talking about heavy inbreeding of Rusyn boyars from the 13th century, then this man might just be mixed with a Russian that came from over the Prut or something.

Edit: Or Lipovan.

But all 4gp are only Romanian, so this can't be a case of recent admixture. In situations like this, I think that we are looking at people whose cultural and ethnic identity got replaced. That's why I was wondering if there were some Slavic settlements in Vaslui.

[WeirdLookingFellow]

But all 4gp are only Romanian, so this can't be a case of recent admixture. In situations like this, I think that we are looking at people whose cultural and ethnic identity got replaced. That's why I was wondering if there were some Slavic settlements in Vaslui.

Are they all from Vaslui the city or from villages ? Do they have non-peculiar last names? Maybe they moved around from N. Bukovina and are adamant that they have no Ukrainian admixture.

[Ion Basescul]

Are they all from Vaslui the city or from villages ? Do they have non-peculiar last names? Maybe they moved around from N. Bukovina and are adamant that they have no Ukrainian admixture.

From Vaslui, the rest is not specified.

[WeirdLookingFellow]

Maybe lost Lipovans, some of them, especially the urban ones lost their identities if there weren't enough of them around.

Or maybe he is a true Yamnaya descendant, who knows.

[Ion Basescul]

Maybe lost Lipovans, some of them, especially the urban ones lost their identities if there weren't enough of them around.

Or maybe he is a true Yamnaya descendant, who knows.

Yamnaya were very far from that genetic profile.

Anyway, here's another result.

Neamt (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


23.95
24.80
18.46
11.96
15.86
1.51
0
0
1.28
0.66
1.02
0.50
0

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Neamt_ind


2.80158883
Romanian_Oltenia


2.88549822
Montenegrin


3.09711156
Romania_Transylvania


3.20908087
Bosniak_Sandzak


3.36275185
Romania_Moldavia_South


3.49586899
Romanian_Wallachia


3.67484694
Moldova_South


3.81449866
Macedonian_Northwest


3.97107109
Macedonian


4.32839462
Romania_Banat


4.36802015
Bulgarian_Gabrovo


4.49815518
Romania_Dobruja


4.54314869
Bulgarian_Stara-Zagora


4.69789314
Romania_Muntenia


4.86556266
Serb_Serbia_South&East


5.05931814
Bulgarian


5.06493830
Bulgarian_North-Rhodope


5.14940773
Romania_Moldavia_average


5.18407176
Bulgarian_Central


5.47311611
Serb_Croatia_Dalmatia


5.54442062
Serb_B&H_Herzegovina


5.62998224
Serb_Serbia


5.68729285
Serb


5.70181550
Serb_Croatia_Kordun&Banija


5.71421036
Serb_Croatia


</tbody>


<tbody>
Distance to:
Neamt_ind


2.80158883
Romania_Oltenia


3.09711156
Romania_Transilvania


3.36275185
Romania_Moldova_Sud


4.32839462
Romania_Banat


4.49815518
Romania_Dobrogea


4.69789314
Romania_Muntenia


5.05931814
Bulgarian


6.20295897
Romania_Crisana


6.74677701
Romania_Moldova_Nord


7.01768480
Romania_Maramures


7.65853772
Aromanian_North-Macedonia


7.96177744
Romania_Moldova_Csango


8.33377317
Romania_Transilvania_Szekely


8.55084206
Aromanian_North-Macedonia-Highlander


8.75532217
Romania_Transilvania_Hungarian


12.92794647
Aromanian_Central-Macedonia


16.69118031
Ukrainian_Ivano_Frankivsk


21.95220490
Ukrainian_Lviv


25.90310020
Crimean_Tatar


27.63709645
Romania_Jewish


28.81849059
Romania_Dobruja_Tatar


32.15274794
Romania_Roma

</tbody>

Target: Neamt_ind
Distance: 2.5265% / 2.52654648 | ADC: 0.25x
56.2 Romania_Oltenia
24.8 Romania_Moldova_Sud
10.8 Aromanian_North-Macedonia
6.8 Romania_Transilvania_Hungarian
1.4 Crimean_Tatar

-Aromanian
Target: Neamt_ind
Distance: 2.6250% / 2.62501486 | ADC: 0.25x
87.4 Romania_Oltenia
5.8 Romania_Moldova_Sud
5.0 Romania_Transilvania_Hungarian
1.8 Crimean_Tatar

-Oltenia
Target: Neamt_ind
Distance: 3.0018% / 3.00176507 | ADC: 0.25x
96.6 Romania_Transilvania
2.2 Crimean_Tatar
1.2 Romania_Dobrogea


<tbody>
Distance to:
Neamt_ind


3.52926338
Romania_Moldavia_Galati


4.05770871
Romania_Moldavia_Bacau


4.65204256
Romania_Moldavia_Vrancea


4.85994856
Romania_Moldavia_Vaslui


5.17437919
Romania_Moldavia_Iasi


5.26965843
Romania_Moldavia_Neamt


7.11218672
Romania_Moldavia_Botosani


7.73653023
Romania_Moldavia_3/4Romanian_1/4Roma


8.71159572
Romania_Moldavia_Csango


8.77339729
Romania_Moldavia_Suceava


14.95308998
Romania_Moldavia_Ukrainian


27.63709645
Romania_Moldavia_Jewish


</tbody>

[Ion Basescul]

From Straseni (R. Moldova)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


23.59
30.86
16.86
8.76
11.85
2.12
2.03
0.81
0.86
2.26
0
0
0

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Straseni_ind


3.76245930
Serb_B&H


3.78727994
Bosniak_Sarajevo


3.80260437
Serb_B&H_Bosnia_proper


3.91292729
Bosniak


3.98370431
Serb_B&H_Krajina


4.13365456
Croat_B&H_West_Bosnia


4.15808850
Romania_Maramures


4.18104054
Croat_B&H_Herzegovina


4.19450831
Croat_Croatia_Dalmatia


4.43793871
Croat_B&H


4.44795459
Moldova_average


4.56337594
Serb_Serbia_West&Central


4.71307755
Moldova_North


4.82050827
Romania_Moldavia_North


4.82509067
Serb


4.84007231
Serb_Serbia_Vojvodina


4.86765857
Serb_Croatia_Kordun&Banija


4.91262659
Moldova_Centre


4.94827243
Hungarian_Csango


4.97492714
Serb_Serbia


4.99811965
Serb_Croatia


5.01454883
Serb_Croatia_Lika


5.03423281
Croat_Croatia_Lika-Senj


5.26452277
Romania_Moldavia_average


5.69590204
Croat_B&H_Bosnia

</tbody>


<tbody>
Distance to:
Straseni_ind


4.71307755
Moldova_North


4.91262659
Moldova_Centre


9.49348724
Ukrainian_Ivano_Frankivsk


9.68775000
Moldova_South


13.89998921
Moldova_South_Gagauz


14.09347367
Moldova_Bulgarian


14.43765563
Moldova_Ukrainian


14.44278713
Ukrainian_Lviv


15.95351372
Ukrainian


21.78094351
Russian_Smolensk


26.68957474
Crimean_Tatar


27.56735751
Romania_Dobruja-Tatar


28.94676202
Russian_Pinega


33.98357103
Moldova_Jewish


34.66827368
Moldova_Roma

</tbody>

Target: Straseni_ind
Distance: 3.1854% / 3.18540554 | ADC: 0.25x
69.6 Moldova_North
18.6 Moldova_Centre
8.2 Moldova_South
3.6 Moldova_Roma


<tbody>
Distance to:
Straseni_ind


3.25768323
Moldova_Straseni


3.52347839
Moldova_Ocnita


4.38405064
Moldova_Balti


4.59516050
Moldova_Eurogenes


4.65182760
Moldova_Calarasi


5.03588125
Moldova_Ialoveni


5.43111407
Moldova_Chisinau


5.88905765
Moldova_Edinet


5.99729106
Moldova_Orhei


6.26064693
Moldova_Soldanesti


6.45141070
Moldova_Glodeni


6.59690079
Moldova_Nisporeni


6.61573125
Moldova_Falesti


6.86526037
Moldova_Cimislia


7.18187301
Moldova_Briceni


7.19570705
Moldova_Transnistria


7.19919440
Moldova_Ungheni


7.22506747
Moldova_Hincesti


7.35735686
Moldova_1/2Moldovan_1/2EastSlavic


7.92656925
Moldova_Causeni


8.79531694
Moldova_Rezina


9.44174242
Moldova_Cahul


10.37766351
Moldova_Floresti


11.13115448
Moldova_StefanVoda


13.58244823
Moldova_Cantemir


</tbody>

[Ion Basescul]

Second sample from Hincesti (R. Moldova)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


23.31
29.55
17.84
7.30
16.55
1.29
1.96
0.80
0.24
0.79
0.35
0
0

</tbody>
</google-sheets-html-origin>
The first one was a bit different and this shows why it's important to have at least a couple of samples for each district, in order to understand the average profile.

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


18.71
29.10
18.39
10.79
14.63
4.48
0
0.85
0
2.02
0.74
0.25
0

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Hincesti_ind


2.57641223
Romania_Maramures


2.96454044
Serb_Serbia


2.99668150
Serb_Serbia_Vojvodina


3.14017515
Serb


3.24709101
Serb_Serbia_West&Central


3.40876811
Serb_Croatia_Lika


3.49310750
Serb_B&H_Herzegovina


3.51656082
Bulgarian_Pleven


3.53659441
Serb_Serbia_South&East


3.80445791
Romania_Crisana


3.82776697
Romania_Moldavia_average


3.86150230
Serb_Croatia


3.96634593
Serb_B&H


4.07073703
Serb_Croatia_Kordun&Banija


4.10530145
Moldova_average


4.12035193
Serb_B&H_Krajina


4.16488895
Romania_Moldavia_South


4.35561706
Serb_Croatia_Dalmatia


4.40595052
Bosniak


4.44059681
Romania_Moldavia_North


4.49323937
Bulgarian_Sofia


4.62386202
Moldova_Centre


4.79335999
Romania_Transylvania


4.87989754
Serb_B&H_Bosnia_proper


4.90183639
Bosniak_Sandzak

</tbody>


<tbody>
Distance to:
Hincesti_ind


4.62386202
Moldova_Centre


6.92720001
Moldova_South


7.86728034
Moldova_North


10.69020580
Moldova_South_Gagauz


11.72506290
Ukrainian_Ivano_Frankivsk


11.96853374
Moldova_Bulgarian


17.44825779
Moldova_Ukrainian


18.20553487
Ukrainian_Lviv


19.31222929
Ukrainian


25.09357089
Russian_Smolensk


28.15635630
Crimean_Tatar


29.53947528
Romania_Dobruja-Tatar


30.03505119
Moldova_Jewish


32.32944759
Russian_Pinega


33.72896381
Moldova_Roma

</tbody>

Target: Hincesti_ind
Distance: 3.1049% / 3.10485864 | ADC: 0.25x
65.4 Moldova_South
34.6 Ukrainian_Ivano_Frankivsk

-Ukrainian Ivano Frankivsk
Target: Hincesti_ind
Distance: 4.0009% / 4.00093632 | ADC: 0.25x
57.6 Moldova_South
24.8 Moldova_North
8.8 Moldova_Centre
8.8 Moldova_Ukrainian


<tbody>
Distance to:
Hincesti_ind


4.64711739
Moldova_Eurogenes


4.65528732
Moldova_Causeni


4.87877034
Moldova_Chisinau


4.91470243
Moldova_Nisporeni


5.13255297
Moldova_Ialoveni


5.39092756
Moldova_Balti


5.39486793
Moldova_Ungheni


5.54689102
Moldova_Straseni


5.74049649
Moldova_Calarasi


5.84130122
Moldova_Cimislia


5.87975340
Moldova_Soldanesti


5.96457040
Moldova_Ocnita


7.03042673
Moldova_Cahul


7.11886929
Moldova_Falesti


7.30320478
Moldova_Hincesti


8.36013158
Moldova_StefanVoda


9.07155444
Moldova_Orhei


9.11813577
Moldova_Edinet


9.23851178
Moldova_Briceni


10.38773796
Moldova_Cantemir


10.42263402
Moldova_Glodeni


10.67465222
Moldova_Transnistria


10.76658720
Moldova_Rezina


10.93140888
Moldova_1/2Moldovan_1/2EastSlavic


10.98789789
Moldova_Floresti

</tbody>

[Ion Basescul]

First sample from Anenii Noi (R. Moldova)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


22.19
35.55
15.80
5.01
14.63
1.08
2.73
0
1.21
0.49
0.57
0
0.75

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
AneniiNoi_ind


5.63331164
Croat_B&H_Herzegovina


6.25745156
Croat_Istria_&_Kvarner


6.26082263
Bosniak_Bosnia_NE&Central


6.31915522
Bosniak_Sarajevo


6.55263306
Ukrainian_Ivano_Frankivsk


6.61027987
Croat_B&H


6.85975218
Croat_Croatia_Lika-Senj


6.91849695
Romania_Maramures


7.03547440
Serb_B&H_Bosnia_proper


7.06009915
Moldova_North


7.09122697
Bosniak


7.10530788
Croat_B&H_Bosnia


7.13539067
Croat_Croatia_Dalmatia


7.46073723
Serb_B&H


7.55008609
Croat_B&H_West_Bosnia


7.94428096
Serb_B&H_Krajina


7.95468415
Moldova_average


8.03873746
Croat_Slavonia


8.07092312
Serb_Serbia_Vojvodina


8.08574054
Romania_Moldavia_North


8.19687135
Croat


8.24591414
Serb_Serbia_West&Central


8.41058856
Serb_Croatia_Lika


8.41106414
Serb


8.42013064
Serb_Serbia

</tbody>


<tbody>
Distance to:
AneniiNoi_ind


6.55263306
Ukrainian_Ivano_Frankivsk


7.06009915
Moldova_North


8.51984742
Moldova_Centre


11.97296120
Moldova_Ukrainian


13.27441901
Ukrainian_Lviv


13.37475233
Moldova_South


13.99645312
Ukrainian


16.73482596
Moldova_South_Gagauz


18.72322355
Moldova_Bulgarian


19.30417053
Russian_Smolensk


26.05857692
Russian_Pinega


29.38248288
Romania_Dobruja-Tatar


29.82411273
Crimean_Tatar


35.79046800
Moldova_Jewish


37.15319502
Moldova_Roma

</tbody>

Target: AneniiNoi_ind
Distance: 3.7530% / 3.75297351 | ADC: 0.25x
82.0 Ukrainian_Ivano_Frankivsk
10.6 Moldova_South_Gagauz
3.8 Moldova_Jewish
3.6 Moldova_Roma

-Ukrainians
Target: AneniiNoi_ind
Distance: 6.0907% / 6.09067109 | ADC: 0.25x
69.0 Moldova_Centre
12.8 Moldova_North
9.8 Russian_Smolensk
8.4 Russian_Pinega




<tbody>
Distance to:
AneniiNoi_ind


3.84764863
Moldova_Falesti


4.61044466
Moldova_Soldanesti


6.51137466
Moldova_Balti


6.87608900
Moldova_Ocnita


6.88684253
Moldova_Eurogenes


6.98263561
Moldova_Ialoveni


7.28567087
Moldova_1/2Moldovan_1/2EastSlavic


7.50862837
Moldova_Edinet


8.16848211
Moldova_Straseni


8.47480973
Moldova_Nisporeni


8.48063087
Moldova_Chisinau


8.50577451
Moldova_Hincesti


8.53001758
Moldova_Floresti


8.83972285
Moldova_Rezina


9.29142077
Moldova_Cimislia


9.29143692
Moldova_Glodeni


9.53371386
Moldova_Transnistria


9.55177470
Moldova_Calarasi


9.86241350
Moldova_Briceni


10.07950396
Moldova_Orhei


10.49649942
Moldova_Ungheni


11.05910485
Moldova_Causeni


11.97296120
Moldova_Ukrainian


13.90538745
Moldova_Cahul


14.52982106
Moldova_StefanVoda


</tbody>

[Aspirin]

The first one was a bit different and this shows why it's important to have at least a couple of samples for each district, in order to understand the average profile.


Because near Hîncești district exist some Bulgarian villages, wich can influence the results. In the past in that area even existed some German villages.
https://upload.wikimedia.org/wikipedia/ro/e/e4/Bugeac-1930.png

[Ion Basescul]

Because near Hîncești district exist some Bulgarian villages, wich can influence the results. In the past in that area even existed some German villages.
https://upload.wikimedia.org/wikipedia/ro/e/e4/Bugeac-1930.png

Yes, but even without minorities, there will be varities within the locality.
We have the luxury of having those 10 samples from Caplani in Stefan Voda, a village that is supposedly fully Moldovan/Romanian.
And among them there is diversity, both Southern, Northern and even Western (last sample) compared to others.

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


21.01
25.42
16.62
11.92
18.51
4.11
0.58
0
0
0
0.50
0.51
0.82


18.42
25.95
16.17
15.44
17.84
3.82
0.56
0.56
0
1.25
0
0
0


18.27
19.97
19.01
15.32
19.44
4.68
0.12
1.50
0.68
0.54
0
0
0.48


19.84
23.81
19.67
11.16
19.93
3.16
0
0.00
1.21
0.29
0.52
0
0.40


22.08
23.50
19.95
9.57
19.50
3.24
0
1.74
0.34
0
0.08
0
0


16.91
24.06
20.61
12.07
23.58
0
0.52
0
1.03
0
0.29
0.45
0.50


20.23
23.81
21.69
7.85
19.98
3.35
0
0
2.91
0
0.19
0
0


21.08
28.93
14.78
9.89
19.66
4.48
0.57
0.61
0
0
0
0
0


21.23
24.68
15.16
12.29
20.35
3.67
0
0
2.38
0
0.25
0
0


26.39
24.34
17.44
13.21
12.41
4.18
0
0.31
0.71
0
0.89
0
0.12

</tbody>
</google-sheets-html-origin>

[Nurzat]

I've got an interesting sample from Vaslui with 4gp from there.

It's preemptive to jump to conclusions, but some of you guys might want to prepare that apology speech for IncelSlayer (Vaslui is just above Galati).

Maybe Nurzat can tell us more about the profile in Vaslui. Are there Romanian villages that assimilated minorities in the past?


Dumasca village at the border with Iași county today was founded by Lipovans around 1740.

some other Lipovans settled in Vaslui town around 1880.

then, the 20% Catholic population of Huși must descend partially from the initial founders of the town, Hussites that then got back to Catholicism, maybe because of the settlement of catholic Csangos later on in the town.

[Ion Basescul]

Iasi (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


23.48
28.95
17.21
10.44
13.88
3.45
0
1.27
1.19
0
0.14
0
0

</tbody>
</google-sheets-html-origin>
Compared to others from Iasi

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


19.78
25.27
16.76
13.97
13.46
3.11
3.80
1.10
0.58
1.21
0.28
0.67
0


28.67
29.30
14.20
10.23
14.22
0
0.12
1.51
0
0.75
0.79
0.21
0


20.77
30.57
15.51
11.77
12.12
3.48
2.53
0
1.45
0.35
1.46
0
0


21.55
33.35
16.78
7.05
17.78
0.86
0
1.07
0.11
0.76
0
0
0.69


25.87
26.84
16.97
10.82
15.72
1.10
0.45
0.17
0.89
0
0.85
0
0.32


23.47
21.46
16.35
9.42
19.46
4.83
0.78
1.14
2.38
0
0.52
0
0.19


27.56
28.87
11.97
7.40
17.56
0
2.72
0
2.26
0.96
0.20
0.42
0.08


24.97
24.41
19.71
10.78
13.32
3.16
0
2.38
0.77
0.50
0
0
0

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Iasi_ind


3.04368198
Serb_B&H_Krajina


3.07037457
Moldova_average


3.10580102
Moldova_Centre


3.34049398
Romania_Moldavia_average


3.36775890
Serb


3.40252847
Serb_B&H


3.40556897
Serb_Serbia_West&Central


3.47692393
Serb_Serbia


3.52408853
Serb_Croatia_Kordun&Banija


3.56687538
Romania_Maramures


3.65328619
Serb_Croatia


3.87902049
Serb_Serbia_Vojvodina


3.88110809
Romania_Moldavia_South


3.91371946
Romania_Moldavia_North


3.96010101
Serb_Croatia_Lika


4.14833702
Bosniak_Sandzak


4.16087731
Serb_B&H_Herzegovina


4.17922242
Bosniak


4.53575793
Serb_Croatia_Dalmatia


4.58553159
Serb_B&H_Bosnia_proper


4.60030434
Serb_Serbia_South&East


4.83633911
Bosniak_Sarajevo


5.01990040
Croat_Croatia_Dalmatia


5.08064956
Romania_Transylvania


5.08222392
Croat_B&H_West_Bosnia


</tbody>


<tbody>
Distance to:
Iasi_ind


3.56687538
Romania_Maramures


3.88110809
Romania_Moldova_Sud


3.92355706
Romania_Moldova_Nord


5.08064956
Romania_Transilvania


5.23117578
Romania_Crisana


5.25379863
Romania_Moldova_Csango


5.89476039
Romania_Oltenia


6.00678783
Romania_Banat


6.26193791
Romania_Transilvania_Hungarian


6.57652793
Romania_Transilvania_Szekely


7.16850752
Romania_Dobrogea


7.58770716
Romania_Muntenia


8.50477513
Bulgarian


11.54888306
Aromanian_North-Macedonia


11.90292401
Aromanian_North-Macedonia-Highlander


12.20059835
Ukrainian_Ivano_Frankivsk


17.08654734
Aromanian_Central-Macedonia


17.31916280
Ukrainian_Lviv


25.80605162
Crimean_Tatar


27.43956450
Romania_Dobruja_Tatar


31.38305912
Romania_Jewish


34.29013998
Romania_Roma

</tbody>

Target: Iasi_ind
Distance: 2.1777% / 2.17769198 | ADC: 0.25x
42.4 Romania_Maramures
25.4 Romania_Moldova_Sud
17.0 Aromanian_North-Macedonia
12.2 Ukrainian_Lviv
3.0 Crimean_Tatar

-Aromanian, Ukrainian
Target: Iasi_ind
Distance: 2.7853% / 2.78529637 | ADC: 0.25x
57.8 Romania_Maramures
32.6 Romania_Moldova_Sud
5.6 Romania_Transilvania_Hungarian
4.0 Crimean_Tatar


<tbody>
Distance to:
Iasi_ind


2.89858586
Romania_Moldavia_Iasi


3.66167994
Romania_Moldavia_Bacau


3.66360478
Romania_Moldavia_Neamt


3.93339548
Romania_Moldavia_Vaslui


4.64663319
Romania_Moldavia_Botosani


5.26114056
Romania_Moldavia_Suceava


5.83204938
Romania_Moldavia_Csango


5.99908326
Romania_Moldavia_Galati


6.63965361
Romania_Moldavia_Vrancea


8.92038116
Romania_Moldavia_3/4Romanian_1/4Roma


11.05636468
Romania_Moldavia_Ukrainian


31.38305912
Romania_Moldavia_Jewish


</tbody>

[Ion Basescul]

Iasi (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


22.25
28.36
18.26
9.25
15.17
2.56
0.39
2.70
0
0.92
0.09
0
0

</tbody>
</google-sheets-html-origin>
Compared to others from Iasi

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


19.78
25.27
16.76
13.97
13.46
3.11
3.80
1.10
0.58
1.21
0.28
0.67
0


28.67
29.30
14.20
10.23
14.22
0
0.12
1.51
0
0.75
0.79
0.21
0


20.77
30.57
15.51
11.77
12.12
3.48
2.53
0
1.45
0.35
1.46
0
0


21.55
33.35
16.78
7.05
17.78
0.86
0
1.07
0.11
0.76
0
0
0.69


25.87
26.84
16.97
10.82
15.72
1.10
0.45
0.17
0.89
0
0.85
0
0.32


23.47
21.46
16.35
9.42
19.46
4.83
0.78
1.14
2.38
0
0.52
0
0.19


27.56
28.87
11.97
7.40
17.56
0
2.72
0
2.26
0.96
0.20
0.42
0.08


24.97
24.41
19.71
10.78
13.32
3.16
0
2.38
0.77
0.50
0
0
0


23.48
28.95
17.21
10.44
13.88
3.45
0
1.27
1.19
0
0.14
0
0

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Iasi_ind


3.76608550
Romania_Moldova_Sud


3.92866390
Romania_Maramures


4.48066959
Romania_Transilvania


4.99594836
Romania_Banat


5.15792594
Romania_Crisana


5.20458452
Romania_Moldova_Nord


5.20632308
Romania_Oltenia


6.16807101
Romania_Dobrogea


6.58838372
Romania_Moldova_Csango


6.87068410
Romania_Muntenia


7.48939250
Bulgarian


8.01638469
Romania_Transilvania_Hungarian


8.10913255
Romania_Transilvania_Szekely


10.66252784
Aromanian_North-Macedonia


10.81590496
Aromanian_North-Macedonia-Highlander


13.32116361
Ukrainian_Ivano_Frankivsk


15.79298895
Aromanian_Central-Macedonia


18.94239161
Ukrainian_Lviv


26.29526764
Crimean_Tatar


28.13845234
Romania_Dobruja_Tatar


30.05790745
Romania_Jewish


33.59412597
Romania_Roma

</tbody>

Target: Iasi_ind
Distance: 2.7869% / 2.78686732 | ADC: 0.25x
72.8 Romania_Maramures
12.6 Aromanian_North-Macedonia
12.6 Romania_Banat
2.0 Crimean_Tatar

-Aromanian
Target: Iasi_ind
Distance: 2.9516% / 2.95160413 | ADC: 0.25x
62.2 Romania_Maramures
32.0 Romania_Banat
4.4 Romania_Oltenia
1.4 Crimean_Tatar


<tbody>
Distance to:
Iasi_ind


3.38719648
Romania_Moldavia_Iasi


3.40471732
Romania_Moldavia_Bacau


4.71440346
Romania_Moldavia_Neamt


4.83263903
Romania_Moldavia_Galati


5.44209518
Romania_Moldavia_Vaslui


5.85480999
Romania_Moldavia_Botosani


5.97397690
Romania_Moldavia_Vrancea


6.76029585
Romania_Moldavia_Suceava


7.21512301
Romania_Moldavia_Csango


7.90808447
Romania_Moldavia_3/4Romanian_1/4Roma


12.17228820
Romania_Moldavia_Ukrainian


30.05790745
Romania_Moldavia_Jewish

</tbody>

[Ion Basescul]

Suceava (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


24.37
39.23
10.88
6.70
13.46
1.45
0
0
2.62
0.51
0.79
0
0

</tbody>
</google-sheets-html-origin>
Compared to others from Suceava

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


28.74
31.61
13.1
9.18
12.47
0.66
0.78
0
0.86
0.19
0.79
1.61
0


26.88
29.15
13.73
8.13
14.66
2.27
2.06
0
2.15
0.88
0.10
0
0


26.90
27.46
17.28
9.68
14.68
0
0
0
2.21
1.16
0.35
0
0.29


30.06
26.76
16.04
8.87
14.56
1.54
0
1.00
0.58
0
0.60
0
0


25.53
34.27
13.61
7.30
10.70
2.19
1.74
0
2.96
1.22
0.47
0
0


23.46
34.89
15.09
7.43
11.82
3.66
0
0
0.39
2.00
0.65
0.60
0


24.18
33.34
12.99
8.44
13.91
1.23
1.31
1.19
1.84
0.89
0.67
0
0


24.99
32.68
13.35
7.67
16.04
1.42
0.95
0
0.78
1.26
0.87
0
0


29.03
34.47
13.15
6.10
12.78
1.79
0.78
1.02
0.87
0
0
0
0


21.99
33.52
14.77
11.31
11.99
2.49
0.5
1.04
2.23
0
0.16
0
0


23.64
28.74
16.52
6.63
20.14
1.10
0
1.05
0.10
0.66
1.42
0
0


23.25
30.39
14.82
11.44
15.45
0
0.23
0.28
2.95
0
0
1.16
0

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Suceava_ind


4.81013513
Ukrainian_Ivano_Frankivsk


6.26799011
Bosniak_Bosnia_NE&Central


7.62152872
Croat_Slavonia


8.03573270
Moldova_North


8.43115057
Croat_Istria_&_Kvarner


8.46226920
Croat_B&H_Herzegovina


8.81170245
Croat


8.86982525
Croat_Croatia_Lika-Senj


8.96199755
Croat_B&H


8.96454126
Croat_Croatia


9.14384492
Hungarian_Alfold


9.23134876
Croat_B&H_Bosnia


9.27837285
Bosniak_Sarajevo


9.28179713
Slovak


9.29705330
Hungarian_Northern


9.33970021
Ukrainian_Lviv


9.61118099
Croat_B&H_West_Bosnia


9.82931330
Croat_Croatia_Dalmatia


9.90574076
Ukrainian


10.05355161
Serb_B&H_Bosnia_proper


10.22060174
Bosniak


10.27641474
South_Polish


10.33324247
Hungarian


10.46787944
Slovenian


10.58223039
Croat_Croatia_Zagorje


</tbody>


<tbody>
Distance to:
Suceava_ind


4.81013513
Ukrainian_Ivano_Frankivsk


9.33970021
Ukrainian_Lviv


10.94888579
Romania_Moldova_Nord


11.17307478
Romania_Moldova_Csango


11.35462901
Romania_Maramures


12.01271686
Romania_Transilvania_Hungarian


12.71429828
Romania_Transilvania_Szekely


13.51070687
Romania_Crisana


14.68920011
Romania_Moldova_Sud


15.83348982
Romania_Transilvania


16.54920844
Romania_Banat


17.06476487
Romania_Oltenia


17.88935717
Romania_Muntenia


17.90724155
Romania_Dobrogea


19.06379291
Bulgarian


22.54030168
Aromanian_North-Macedonia-Highlander


23.49745731
Aromanian_North-Macedonia


28.29693800
Aromanian_Central-Macedonia


29.24470721
Romania_Dobruja_Tatar


30.42067553
Crimean_Tatar


40.54237536
Romania_Jewish


41.54043452
Romania_Roma

</tbody>

:rolleyes:
Target: Suceava_ind
Distance: 4.5031% / 4.50306910 | ADC: 0.25x
95.2 Ukrainian_Ivano_Frankivsk
4.0 Romania_Dobruja_Tatar
0.8 Romania_Jewish


<tbody>
Distance to:
Suceava_ind


6.96462490
Romania_Moldavia_Ukrainian


8.34839506
Romania_Moldavia_Suceava


9.33123786
Romania_Moldavia_Botosani


11.45216137
Romania_Moldavia_Csango


13.13935310
Romania_Moldavia_Vaslui


13.54124440
Romania_Moldavia_Iasi


13.95631040
Romania_Moldavia_Neamt


14.42551559
Romania_Moldavia_Bacau


16.92515288
Romania_Moldavia_Galati


17.78665230
Romania_Moldavia_3/4Romanian_1/4Roma


18.37329040
Romania_Moldavia_Vrancea


40.54237536
Romania_Moldavia_Jewish

</tbody>

[Leto]

Suceava (Romania's Moldavia)

Is she not half Lipovan?

[Ion Basescul]

Is she not half Lipovan?

Whom are you referring to? I haven't posted this one before and it's not a lady. Verified ethnic Romanian in any case

[Ion Basescul]

Iasi

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


25.57
32.02
16.18
8.64
11.89
1.89
0.18
1.76
0
0.61
0
0.52
0.75

</tbody>
</google-sheets-html-origin>
Compared to others from Iasi

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


19.78
25.27
16.76
13.97
13.46
3.11
3.80
1.10
0.58
1.21
0.28
0.67
0


28.67
29.30
14.20
10.23
14.22
0
0.12
1.51
0
0.75
0.79
0.21
0


20.77
30.57
15.51
11.77
12.12
3.48
2.53
0
1.45
0.35
1.46
0
0


21.55
33.35
16.78
7.05
17.78
0.86
0
1.07
0.11
0.76
0
0
0.69


25.87
26.84
16.97
10.82
15.72
1.10
0.45
0.17
0.89
0
0.85
0
0.32


23.47
21.46
16.35
9.42
19.46
4.83
0.78
1.14
2.38
0
0.52
0
0.19


27.56
28.87
11.97
7.40
17.56
0
2.72
0
2.26
0.96
0.20
0.42
0.08


24.97
24.41
19.71
10.78
13.32
3.16
0
2.38
0.77
0.50
0
0
0


23.48
28.95
17.21
10.44
13.88
3.45
0
1.27
1.19
0
0.14
0
0


22.25
28.36
18.26
9.25
15.17
2.56
0.39
2.70
0
0.92
0.09
0
0

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Iasi_ind


2.28901726
Croat_B&H_West_Bosnia


2.70732340
Croat_B&H


2.72690301
Croat_Croatia_Dalmatia


2.75664651
Serb_B&H_Bosnia_proper


2.89665324
Croat_Croatia_Lika-Senj


2.91073874
Moldova_North


3.15057138
Bosniak


3.25987730
Croat_B&H_Herzegovina


3.30337040
Bosniak_Sarajevo


3.60227706
Serb_B&H


3.67547276
Croat_Istria_&_Kvarner


3.76212706
Croat_B&H_Bosnia


3.92187455
Croat


4.23392253
Croat_Slavonia


4.25915485
Croat_Croatia


4.27179119
Serb_B&H_Krajina


4.28405182
Hungarian_Csango


4.47319796
Bosniak_Bosnia_NE&Central


4.53045252
Romania_Maramures


4.79257759
Serb_Serbia_Vojvodina


4.83269076
Serb_Serbia_West&Central


4.83294941
Serb_Croatia_Lika


4.86468910
Serb_Croatia_Kordun&Banija


4.86569625
Romania_Moldavia_North


4.91512970
Serb_Croatia

</tbody>


<tbody>
Distance to:
Iasi_ind


4.53045252
Romania_Maramures


4.81377583
Romania_Transilvania_Hungarian


4.87918026
Romania_Moldova_Csango


4.91071278
Romania_Moldova_Nord


5.77732566
Romania_Transilvania_Szekely


6.56939875
Romania_Crisana


7.47713849
Romania_Moldova_Sud


7.98984355
Ukrainian_Ivano_Frankivsk


8.70615874
Romania_Transilvania


9.76972876
Romania_Oltenia


10.26339612
Romania_Banat


11.52377976
Romania_Dobrogea


11.74948935
Romania_Muntenia


12.71965408
Bulgarian


13.02211964
Ukrainian_Lviv


16.07102050
Aromanian_North-Macedonia


16.26637636
Aromanian_North-Macedonia-Highlander


21.43261767
Aromanian_Central-Macedonia


28.13869045
Crimean_Tatar


28.81975885
Romania_Dobruja_Tatar


35.63064411
Romania_Jewish


37.22986033
Romania_Roma


</tbody>

Target: Iasi_ind
Distance: 2.3798% / 2.37982728 | ADC: 0.25x
57.8 Romania_Maramures
24.8 Romania_Transilvania_Hungarian
17.4 Ukrainian_Lviv

-Hungarian
Target: Iasi_ind
Distance: 2.4775% / 2.47746439 | ADC: 0.25x
54.2 Romania_Maramures
24.0 Ukrainian_Lviv
15.2 Romania_Crisana
6.6 Romania_Moldova_Sud


<tbody>
Distance to:
Iasi_ind


3.73112584
Romania_Moldavia_Suceava


4.30567068
Romania_Moldavia_Csango


4.48205310
Romania_Moldavia_Botosani


5.60014286
Romania_Moldavia_Iasi


6.01956809
Romania_Moldavia_Vaslui


7.26765437
Romania_Moldavia_Ukrainian


7.27112096
Romania_Moldavia_Neamt


7.46382610
Romania_Moldavia_Bacau


9.73724807
Romania_Moldavia_Galati


10.64172918
Romania_Moldavia_Vrancea


11.76834738
Romania_Moldavia_3/4Romanian_1/4Roma


35.63064411
Romania_Moldavia_Jewish

</tbody>

[Leto]

Whom are you referring to? I haven't posted this one before and it's not a lady. Verified ethnic Romanian in any case
The 39 percent Baltic person.

[Ion Basescul]

The 39 percent Baltic person.

And how did you determine that this is a lady and half Lipovan at that? Lipovans mostly live in Tulcea county and certainly not in Suceava. In the past some stopped along the Prut river according to their Wiki page.
But Suceava is 200km away in the mountains.
Ukrainian ancestry is more likely in this case, but we are talking about distant one that got assimilated into the local profile of the community, since I know that all the 4gp for him are ethnic Romanians from Vatra Dornei.

[Leto]

And how did you determine that this is a lady and half Lipovan at that? Lipovans mostly live in Tulcea county and certainly not in Suceava. In the past some stopped along the Prut river according to their Wiki page.
But Suceava is 200km away in the mountains.
Ukrainian ancestry is more likely in this case, but we are talking about distant one that got assimilated into the local profile of the community, since I know that all the 4gp for him are ethnic Romanians from Vatra Dornei.
I wasn't clear. I asked if that person was half Lipovan. And I was thinking maybe that girl from Reddit had finally shared her Gedmatch with you.

[WeirdLookingFellow]

And how did you determine that this is a lady and half Lipovan at that? Lipovans mostly live in Tulcea county and certainly not in Suceava. In the past some stopped along the Prut river according to their Wiki page.
But Suceava is 200km away in the mountains.
Ukrainian ancestry is more likely in this case, but we are talking about distant one that got assimilated into the local profile of the community, since I know that all the 4gp for him are ethnic Romanians from Vatra Dornei.

Yes they do live in Suceava, I literally know a Lipovan girl from near Radauti.

They have communities near Radauti, there's also a Lipoveni village :

https://ro.wikipedia.org/wiki/Lipoveni,_Suceava

https://ro.wikipedia.org/wiki/Clim%C4%83u%C8%9Bi,_Suceava

http://www.cjsuceava.ro/index.php/ro/etnii-din-judetul-suceava/comunitatea-rusilor-lipoveni-din-romania-filiala-suceava

[Aspirin]

Is she not half Lipovan?

Lipovans are tiny minority, this person just have more old Rusyn ancestry.

[Leto]

Lipovans are tiny minority, this person just have more old Rusyn ancestry.
30,000 according to Wikipedia. For obvious reasons I'm very interested in seeing at least a couple of them.

Yes, the Eternal XoXoL laughs in the background everytime a Romanian with 35-39% Baltic appears :swl

[Ion Basescul]

I wasn't clear. I asked if that person was half Lipovan. And I was thinking maybe that girl from Reddit had finally shared her Gedmatch with you.Ah, not that I know of, at least not at grandparents level. I wouldn't be surprised if their ancestors are partially assimilated Ukrainians for example who lost their former identity.

That girl from Reddit is likely not from Moldavia. Lipovans are more of a Danube delta phenomenon.

Sent from my Redmi 4X using Tapatalk

[Ion Basescul]

Yes they do live in Suceava, I literally know a Lipovan girl from near Radauti.

They have communities near Radauti, there's also a Lipoveni village :

https://ro.wikipedia.org/wiki/Lipoveni,_Suceava

https://ro.wikipedia.org/wiki/Clim%C4%83u%C8%9Bi,_Suceava

http://www.cjsuceava.ro/index.php/ro/etnii-din-judetul-suceava/comunitatea-rusilor-lipoveni-din-romania-filiala-suceavaWell, yes, there will be tiny communities, just like there is one random one in Soroca if I'm not mistaken, that I found the other day, but the overwhelming majority live closer to the delta. So in this case, assimilated Ukrainians are more probable.

Sent from my Redmi 4X using Tapatalk

[Aspirin]

30,000 according to Wikipedia. For obvious reasons I'm very interested in seeing at least a couple of them.

Yes, the Eternal XoXoL laughs in the background everytime a Romanian with 35-39% Baltic appears :swl

Most of them live in Danube delta region (Tulcea county), in Suceava their community is very tiny, plus they hardly mix.

[WeirdLookingFellow]

Most of them live in Danube delta region (Tulcea county), in Suceava their community is very tiny, plus they hardly mix.

The ones in Tulcea did not mix a lot (though bear in mind Lipovans stretched till south of Constanta, the fewer they were the more they mixed), but the ones in North-Central Moldova definitely did. There are definitely still pure Russian Lipovans still in North-Central parts, I'm not saying they disappeared.

[Aspirin]

...

Why in your ancestry is written Ukrainian?

[WeirdLookingFellow]

Why in your ancestry is written Ukrainian?

Cause that's what I know that I have from my mom's side, should probably add Tatar and replace Ukr with German though, maybe after I test her and my grandparents.

[Ion Basescul]

Cause that's what I know that I have from my mom's side, should probably add Tatar and replace Ukr with German though, maybe after I test her and my grandparents.I thought that you might have German ancestry, but right now it looks less likely, since I found more verified results in non-Transylvanian regions who have more Atlantic than Baltic. The fellow user with 4gp from Galati, alexmegas, has like 30% Atlantic and 20% Baltic. It's probably Eurogenes being Eurogenes.

Sent from my Redmi 4X using Tapatalk

[WeirdLookingFellow]

I thought that you might have German ancestry, but right now it looks less likely, since I found more verified results in non-Transylvanian regions who have more Atlantic than Baltic. The fellow user with 4gp from Galati, alexmegas, has like 30% Atlantic and 20% Baltic. It's probably Eurogenes being Eurogenes.

Sent from my Redmi 4X using Tapatalk

Testing the parents could probably show whether it's actual heightened NA or Eurogenes.

[Ion Basescul]

Testing the parents could probably show whether it's actual heightened NA or Eurogenes.Yep, it should add some clarity.
But I think your best bet to understand that are your DNA relatives (both on MyHeritage and GEDmatch). What's the sum of shared segments that you have in common with people of Germanic and Ukrainian ancestry?

Sent from my Redmi 4X using Tapatalk

[Ion Basescul]

I thought to have a run only against academic samples (Stefan Voda and Balti) + old Eurogenes with all of my kits.

That includes:
1) my merged 23andme+LivingDNA kit
2) my imputed kit on DNA LAND, which I don't use because it's identical
3) my family's imputed kits on DNA LAND that I always use due to making sense in the context of my results; my results were generated with 2.5x more SNPs, so they are the most accurate of the bunch and the benchmark against which to orientate
4) my family's original kits, which I don't usually use, because of what was mentioned in 3

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
Name
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


Ion_Basescul_23andme+LivingDNA
25.42
29.37
15.04
9.99
12.91
1.53
0.69
1.84
2.84
0
0.37
0
0


Ion Basescul_23andme+LivingDNA_DNALAND-imputed
25.25
29.82
14.67
10.28
12.78
1.20
0.46
2.37
2.52
0
0.27
0.05
0.32


Ion_Basescul_brother_MyHeritage_DNALAND-imputed
22.66
31.41
14.52
12.99
11.97
1.64
1.35
0.93
2.18
0
0.22
0.13
0


Ion_Basescul_brother_MyHeritage_original
20.94
32.81
16.13
11.69
12.21
0.97
2.06
1.03
1.08
0.54
0.54
0
0


Ion_Basescul_mom_MyHeritage_DNALAND-imputed
21.57
34.87
15.27
11.01
11.72
1.02
0.74
2.03
1.44
0.21
0.13
0
0


Ion_Basescul_mom_MyHeritage_original
19.44
37.30
15.60
10.04
13.19
0.47
0.95
1.49
0.28
0.41
0.82
0
0


Ion_Basescul_dad_MyHeritage_DNALAND-imputed
25.29
31.05
13.37
12.25
11.53
0.22
1.90
0
2.14
0.95
0.07
0.92
0.30


Ion_Basescul_dad_MyHeritage_original
24.14
32.44
14.55
11.75
12.15
0
1.62
0
1.54
0.96
0
0.33
0.51

</tbody>
</google-sheets-html-origin>
Top 10


<tbody>
Distance to:
Ion_Basescul_23andme+LivingDNA


3.45421482
Moldova_34_Balti


3.70537448
Moldova_35_Balti


3.81998691
Moldova_91_Eurogenes


3.82870735
Moldova_41_Balti


3.95075942
Moldova_90_Eurogenes


4.03814314
Moldova_55_Balti


4.42827280
Moldova_38_Balti


4.56146906
Moldova_36_Balti


4.60545329
Moldova_44_Balti


5.08034448
Moldova_53_Balti

</tbody>


<tbody>
Distance to:
IonBasescul_23andme+LivingDNA_DNALand-imputed


3.75374480
Moldova_91_Eurogenes


3.78959101
Moldova_90_Eurogenes


3.81152201
Moldova_35_Balti


3.97234188
Moldova_34_Balti


4.37384270
Moldova_38_Balti


4.43185063
Moldova_41_Balti


4.45029213
Moldova_55_Balti


4.61691455
Moldova_36_Balti


4.99824969
Moldova_15_Eurogenes


5.13088686
Moldova_32_Balti

</tbody>


<tbody>
Distance to:
Ion_Basescul_brother_MyHeritage_DNALAND-imputed


3.78056874
Moldova_91_Eurogenes


3.85215524
Moldova_90_Eurogenes


5.86798091
Moldova_41_Balti


6.00815279
Moldova_52_Balti


6.07051892
Moldova_35_Balti


6.20557814
Moldova_15_Eurogenes


6.43480380
Moldova_40_Balti


6.48989985
Moldova_36_Balti


6.58144361
Moldova_44_Balti


6.70091785
Moldova_33_Balti

</tbody>


<tbody>
Distance to:
Ion_Basescul_brother_MyHeritage_original


3.99726156
Moldova_90_Eurogenes


4.09798731
Moldova_91_Eurogenes


5.53502484
Moldova_40_Balti


5.78602627
Moldova_33_Balti


5.81061959
Moldova_45_Balti


6.01611170
Moldova_31_Balti


6.42305223
Moldova_36_Balti


6.47753039
Moldova_15_Eurogenes


6.52288280
Moldova_47_Balti


6.87893887
Moldova_mixed_12_Eurogenes_1/2Moldovan_1/2Ukrainian

</tbody>


<tbody>
Distance to:
Ion_Basescul_mom_MyHeritage_DNALAND-imputed


3.98743025
Moldova_40_Balti


4.50377619
Moldova_90_Eurogenes


4.69851040
Moldova_45_Balti


4.89379199
Moldova_91_Eurogenes


5.25722360
Moldova_66_Chisinau


5.46116288
Moldova_31_Balti


5.54819791
Moldova_15_Eurogenes


5.85076918
Moldova_mixed_12_Eurogenes_1/2Moldovan_1/2Ukrainian


6.25704403
Moldova_33_Balti


6.60913005
Moldova_51_Balti

</tbody>


<tbody>
Distance to:
Ion_Basescul_mom_MyHeritage_original


4.88528402
Moldova_40_Balti


5.02362419
Moldova_45_Balti


6.69257798
Moldova_66_Chisinau


6.89836212
Moldova_33_Balti


7.21009015
Moldova_90_Eurogenes


7.29758864
Moldova_48_Balti


7.54249959
Moldova_31_Balti


7.57860145
Moldova_91_Eurogenes


7.60349262
Moldova_56_Balti


8.02385194
Moldova_51_Balti

</tbody>


<tbody>
Distance to:
Ion_Basescul_dad_MyHeritage_DNALAND-imputed


4.45938337
Moldova_35_Balti


4.48095972
Moldova_91_Eurogenes


4.56720921
Moldova_90_Eurogenes


4.74514489
Moldova_52_Balti


5.52004529
Moldova_34_Balti


5.66210208
Moldova_32_Balti


5.69595470
Moldova_15_Eurogenes


5.74258653
Moldova_41_Balti


5.78949911
Moldova_55_Balti


6.05784615
Moldova_37_Balti

</tbody>


<tbody>
Distance to:
Ion_Basescul_dad_MyHeritage_original


3.29903016
Moldova_90_Eurogenes


3.33646520
Moldova_91_Eurogenes


4.78240525
Moldova_40_Balti


4.86875754
Moldova_52_Balti


4.95619814
Moldova_15_Eurogenes


5.07971456
Moldova_35_Balti


5.13551361
Moldova_36_Balti


5.25695729
Moldova_32_Balti


5.55846202
Moldova_37_Balti


5.82835311
Moldova_38_Balti

</tbody>

[Ion Basescul]

I thought to have a run only against academic samples (Stefan Voda and Balti) + old Eurogenes with all of my kits.


For curiosity's sake, users from Romania's Moldavia run against the same samples


<tbody>
Distance to:
WeirdLookingFellow


7.92989281
Moldova_55_Balti


7.93121680
Moldova_38_Balti


8.17335916
Moldova_69_Balti


8.28926414
Moldova_54_Balti


8.32904556
Moldova_36_Balti


8.44169414
Moldova_102_StefanVoda


8.49914113
Moldova_44_Balti


8.57614132
Moldova_34_Balti


9.24467414
Moldova_41_Balti


9.44543276
Moldova_49_Balti

</tbody>


<tbody>
Distance to:
andre


3.45826546
Moldova_105_StefanVoda


5.07223816
Moldova_30_Balti


5.22029693
Moldova_33_Balti


5.32152234
Moldova_39_Balti


5.45945052
Moldova_56_Balti


5.74927822
Moldova_89_Eurogenes


6.21766033
Moldova_92_Eurogenes


6.36461311
Moldova_46_Balti


6.55856692
Moldova_36_Balti


6.66236445
Moldova_54_Balti

</tbody>


<tbody>
Distance to:
alexmegas777


7.03090321
Moldova_107_StefanVoda


9.45977801
Moldova_41_Balti


10.23799785
Moldova_34_Balti


10.40730513
Moldova_44_Balti


10.46230376
Moldova_102_StefanVoda


10.59796679
Moldova_50_Balti


11.19010277
Moldova_55_Balti


11.81711894
Moldova_53_Balti


11.86569003
Moldova_38_Balti


12.18587707
Moldova_98_StefanVoda

</tbody>

[Ion Basescul]

I thought to have a run only against academic samples (Stefan Voda and Balti) + old Eurogenes with all of my kits.



Forgot this former Apricity dude from R. Moldova


<tbody>
Distance to:
Zmey_Gorynych


3.50548142
Moldova_90_Eurogenes


4.06248692
Moldova_91_Eurogenes


4.28879937
Moldova_33_Balti


4.40454311
Moldova_51_Balti


5.00407834
Moldova_40_Balti


5.33406974
Moldova_15_Eurogenes


5.76415649
Moldova_56_Balti


6.00575557
Moldova_36_Balti


6.08956484
Moldova_46_Balti


6.15838453
Moldova_37_Balti


</tbody>

[Ion Basescul]

Suceava (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


24.60
32.75
14.70
8.38
10.93
2.70
2.02
0
1.75
1.72
0.25
0.20
0

</tbody>
</google-sheets-html-origin>
Compared to others from Suceava

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


28.74
31.61
13.10
9.18
12.47
0.66
0.78
0
0.86
0.19
0.79
1.61
0


26.88
29.15
13.73
8.13
14.66
2.27
2.06
0
2.15
0.88
0.10
0
0


26.90
27.46
17.28
9.68
14.68
0
0
0
2.21
1.16
0.35
0
0.29


30.06
26.76
16.04
8.87
14.56
1.54
0
1.00
0.58
0
0.60
0
0


25.53
34.27
13.61
7.30
10.70
2.19
1.74
0
2.96
1.22
0.47
0
0


23.46
34.89
15.09
7.43
11.82
3.66
0
0
0.39
2.00
0.65
0.60
0


24.18
33.34
12.99
8.44
13.91
1.23
1.31
1.19
1.84
0.89
0.67
0
0


24.99
32.68
13.35
7.67
16.04
1.42
0.95
0
0.78
1.26
0.87
0
0


29.03
34.47
13.15
6.10
12.78
1.79
0.78
1.02
0.87
0
0
0
0


21.99
33.52
14.77
11.31
11.99
2.49
0.5
1.04
2.23
0
0.16
0
0


23.64
28.74
16.52
6.63
20.14
1.10
0
1.05
0.10
0.66
1.42
0
0


23.25
30.39
14.82
11.44
15.45
0
0.23
0.28
2.95
0
0
1.16
0


24.37
39.23
10.88
6.70
13.46
1.45
0
0
2.62
0.51
0.79
0
0

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Suceava_ind


2.89677407
Moldova_North


3.74192464
Bosniak_Bosnia_NE&Central


3.98937873
Bosniak_Sarajevo


4.01014962
Croat_B&H_West_Bosnia


4.10800438
Croat_B&H_Herzegovina


4.12122555
Croat_B&H


4.33804103
Serb_B&H_Bosnia_proper


4.34219990
Croat_Croatia_Lika-Senj


4.43496336
Croat_Croatia_Dalmatia


4.44353463
Croat_Slavonia


4.71491251
Bosniak


4.73748879
Croat


4.99774949
Croat_Croatia


5.09702855
Croat_B&H_Bosnia


5.12546583
Hungarian_Csango


5.14077815
Croat_Istria_&_Kvarner


5.21897500
Serb_B&H


5.48499772
Hungarian_Alfold


5.75158239
Romania_Moldavia_North


5.87105612
Serb_B&H_Krajina


5.89062815
Moldova_average


5.95068904
Romania_Maramures


6.02900489
Hungarian_Transylvania


6.46470417
Serb_Serbia_West&Central


6.49590640
Hungarian_Szekely


</tbody>


<tbody>
Distance to:
Suceava_ind


5.27495024
Romania_Moldova_Csango


5.46173395
Romania_Transilvania_Hungarian


5.79201174
Romania_Moldova_Nord


5.95068904
Romania_Maramures


6.70559531
Romania_Transilvania_Szekely


7.02346780
Ukrainian_Ivano_Frankivsk


8.27955917
Romania_Crisana


8.84380574
Romania_Moldova_Sud


10.19112849
Romania_Transilvania


11.33472982
Romania_Oltenia


11.39949999
Romania_Banat


11.58661728
Ukrainian_Lviv


12.71882070
Romania_Dobrogea


12.75994514
Romania_Muntenia


14.08775710
Bulgarian


17.43945813
Aromanian_North-Macedonia-Highlander


17.52515906
Aromanian_North-Macedonia


22.88058566
Aromanian_Central-Macedonia


27.08120012
Crimean_Tatar


27.29032796
Romania_Dobruja_Tatar


36.20190050
Romania_Roma


36.58874554
Romania_Jewish


</tbody>

Target: Suceava_ind
Distance: 2.0203% / 2.02030920 | ADC: 0.25x
29.6 Ukrainian_Lviv
29.2 Romania_Maramures
14.4 Romania_Transilvania_Hungarian
11.8 Romania_Moldova_Csango
11.0 Romania_Moldova_Nord
2.4 Romania_Roma
1.6 Romania_Dobruja_Tatar

-Hungarians
Target: Suceava_ind
Distance: 2.1755% / 2.17546184 | ADC: 0.25x
35.6 Romania_Moldova_Nord
32.2 Ukrainian_Lviv
28.2 Romania_Maramures
2.4 Romania_Roma
1.6 Romania_Dobruja_Tatar


<tbody>
Distance to:
Suceava_ind


3.73120624
Romania_Moldavia_Suceava


5.08923373
Romania_Moldavia_Botosani


5.14378265
Romania_Moldavia_Csango


6.77829625
Romania_Moldavia_Ukrainian


6.93581286
Romania_Moldavia_Iasi


7.32387193
Romania_Moldavia_Vaslui


8.35690732
Romania_Moldavia_Neamt


8.67389186
Romania_Moldavia_Bacau


11.20389664
Romania_Moldavia_Galati


11.77908740
Romania_Moldavia_Vrancea


11.89655833
Romania_Moldavia_3/4Romanian_1/4Roma


36.58874554
Romania_Moldavia_Jewish


</tbody>

[Ion Basescul]

Vrancea (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


20.65
26.70
17.19
10.49
19.25
2.39
0.44
0.37
0.84
1.01
0.08
0.59
0

</tbody>
</google-sheets-html-origin>
Compared to others from Vrancea

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


22.67
23.88
15.52
12.44
17.04
3.22
1.84
1.26
1.59
0.16
0.39
0
0


23.92
23.07
20.63
9.31
15.68
1.32
2.74
1.52
0.53
1.01
0
0.15
0.13

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Vrancea_ind


1.67874953
Romania_Banat


2.56877403
Bulgarian_Sofia


2.60484165
Romania_Dobruja


2.70360870
Moldova_South


3.08481766
Romanian_Wallachia


3.10473831
Romania_Muntenia


3.24847657
Bulgarian_Stara-Zagora


3.38609846
Macedonian


3.53877097
Bulgarian


3.58087978
Serb_Serbia_South&East


4.08855720
Romania_Transylvania


4.10925784
Bosniak_Sandzak


4.14937345
Romanian_Oltenia


4.41901573
Turk_N-Macedonia


4.45244876
Romania_Moldavia_South


4.51720046
Pomak_Nevrokopi


4.52539501
Bulgarian_Gabrovo


4.57257039
Serb_B&H_Herzegovina


4.58396117
Pomak_Plovdiv


4.65112890
Macedonian_Northwest


4.67889944
Montenegrin


4.75371434
Bulgarian_Pleven


4.82151428
Bulgarian_Pazardzhik


5.05696549
Gagauz


5.51361950
Macedonian_North

</tbody>


<tbody>
Distance to:
Vrancea_ind


1.67874953
Romania_Banat


2.60484165
Romania_Dobrogea


3.10473831
Romania_Muntenia


3.53877097
Bulgarian


4.08855720
Romania_Transilvania


4.14937345
Romania_Oltenia


4.45244876
Romania_Moldova_Sud


6.93396712
Romania_Maramures


6.99964999
Aromanian_North-Macedonia-Highlander


7.00991441
Romania_Crisana


7.02264907
Romania_Moldova_Nord


8.29470916
Aromanian_North-Macedonia


9.12490548
Romania_Moldova_Csango


10.84442036
Romania_Transilvania_Szekely


11.18067251
Romania_Transilvania_Hungarian


12.58097770
Aromanian_Central-Macedonia


16.51018171
Ukrainian_Ivano_Frankivsk


22.58755188
Ukrainian_Lviv


25.76684886
Romania_Jewish


26.14242911
Crimean_Tatar


28.82519037
Romania_Dobruja_Tatar


31.52429856
Romania_Roma


</tbody>

Target: Vrancea_ind
Distance: 1.5229% / 1.52285409 | ADC: 0.25x
94.4 Romania_Banat
3.0 Ukrainian_Ivano_Frankivsk
2.6 Romania_Jewish


<tbody>
Distance to:
Vrancea_ind


3.75058662
Romania_Moldavia_Vrancea


3.91029411
Romania_Moldavia_Bacau


4.04533064
Romania_Moldavia_Galati


5.18568221
Romania_Moldavia_Neamt


5.83980308
Romania_Moldavia_Iasi


6.79007364
Romania_Moldavia_3/4Romanian_1/4Roma


6.99524839
Romania_Moldavia_Vaslui


7.82187318
Romania_Moldavia_Botosani


9.84003557
Romania_Moldavia_Suceava


10.55969223
Romania_Moldavia_Csango


15.03036593
Romania_Moldavia_Ukrainian


25.76684886
Romania_Moldavia_Jewish

</tbody>

[Ion Basescul]

Falesti (R. Moldova)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


26.22
34.90
12.85
10.54
10.96
1.08
0.09
1.83
0
0.52
0.41
0
0.59

</tbody>
</google-sheets-html-origin>
Compared to others partially from Falesti

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


24.90
34.32
14.54
5.42
14.28
2.29
1.58
0
2.07
0
0.34
0
0.25

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Falesti_ind


3.51623378
Bosniak_Bosnia_NE&Central


3.77573834
Moldova_North


3.89125944
Croat_Slavonia


4.79444470
Croat


4.86499743
Croat_Croatia


5.05016831
Croat_B&H_West_Bosnia


5.39099249
Croat_B&H


5.46852814
Croat_Croatia_Lika-Senj


5.55537577
Croat_B&H_Herzegovina


5.58683273
Hungarian_Alfold


5.78531728
Bosniak_Sarajevo


5.97800134
Croat_Istria_&_Kvarner


6.06259021
Croat_Croatia_Dalmatia


6.24217911
Croat_B&H_Bosnia


6.39061030
Serb_B&H_Bosnia_proper


6.54303446
Hungarian


6.54628903
Bosniak


6.71143800
Croat_Croatia_Zagorje


6.74993333
Ukrainian_Ivano_Frankivsk


7.02972972
Croat_Croatia_Gorski_Kotar


7.12755919
Hungarian_Budapest


7.23338786
Slovenian


7.27069460
Serb_B&H


7.27906587
Hungarian_Northern


7.34636645
Hungarian_Csango

</tbody>


<tbody>
Distance to:
Falesti_ind


3.77573834
Moldova_North


6.74993333
Ukrainian_Ivano_Frankivsk


8.39748772
Moldova_Centre


9.68579372
Moldova_Ukrainian


10.02150687
Ukrainian_Lviv


11.43127727
Ukrainian


14.33704991
Moldova_South


16.84574724
Russian_Smolensk


18.26456131
Moldova_South_Gagauz


18.73891406
Moldova_Bulgarian


25.12833622
Russian_Pinega


28.43392164
Crimean_Tatar


28.83996012
Romania_Dobruja-Tatar


38.12593343
Moldova_Jewish


38.98335414
Moldova_Roma


</tbody>

Target: Falesti_ind
Distance: 3.1586% / 3.15859459 | ADC: 0.25x
80.0 Moldova_North
11.6 Russian_Smolensk
8.4 Moldova_Centre


<tbody>
Distance to:
Falesti_ind


3.67329552
Moldova_Falesti


3.96784576
Moldova_1/2Moldovan_1/2EastSlavic


4.30861927
Moldova_Briceni


4.84979381
Moldova_Rezina


5.34893447
Moldova_Telenesti


5.46881157
Moldova_Transnistria


5.67722644
Moldova_Edinet


5.69051843
Moldova_Orhei


5.74149806
Moldova_Chisinau


5.85865172
Moldova_Ocnita


5.94166643
Moldova_Balti


6.20436943
Moldova_Glodeni


6.78803359
Moldova_Floresti


7.12741187
Moldova_Soldanesti


7.19565841
Moldova_Straseni


7.22538580
Moldova_Ialoveni


7.36345028
Moldova_Eurogenes


7.76593845
Moldova_Calarasi


8.24304555
Moldova_Nisporeni


9.01390038
Moldova_AneniiNoi


9.68579372
Moldova_Ukrainian


10.10237101
Moldova_Cimislia


10.72670033
Moldova_Ungheni


10.76374470
Moldova_Hincesti


11.74171197
Moldova_Causeni


14.45210711
Moldova_Cahul


15.68687031
Moldova_StefanVoda


18.08626274
Moldova_Gagauzia


18.28519073
Moldova_Cantemir


18.73891406
Moldova_Bulgarian


38.12593343
Moldova_Jewish


38.98335414
Moldova_Roma


</tbody>

[Ion Basescul]

Vaslui (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


26.83
28.68
12.40
9.88
16.13
2.43
0
0
2.06
0.76
0.19
0.05
0.60

</tbody>
</google-sheets-html-origin>
Compared to others from Vaslui

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


26.56
26.95
15.36
8.59
16.04
3.01
0.55
0.08
2.86
0
0
0
0


27.11
28.41
15.71
11.50
11.75
2.05
0.24
0
2.54
0
0.17
0.51
0


23.46
28.78
17.10
9.49
15.08
2.33
0.19
0.10
2.35
0.58
0.56
0
0


27.35
30.13
13.04
10.69
15.62
1.55
0
0
1.50
0.11
0
0
0


24.66
30.29
16.67
14.00
10.44
0.58
0.27
0
1.69
0.91
0.09
0.40
0

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Vaslui_ind


3.94859469
Romania_Moldavia_North


4.66837231
Romania_Moldavia_average


5.10148998
Moldova_average


5.11782180
Hungarian_Szekely


5.13114997
Serb_Croatia_Dalmatia


5.18981695
Serb_Croatia_Kordun&Banija


5.22860402
Serb_Croatia


5.35711676
Bosniak


5.48822376
Romania_Crisana


5.55808420
Serb_B&H_Herzegovina


5.57163351
Hungarian_Csango


5.57815382
Serb


5.58046593
Serb_Serbia_Vojvodina


5.66014134
Serb_Serbia


5.69830677
Serb_Serbia_West&Central


5.74409981
Bosniak_Sarajevo


5.76725238
Moldova_Centre


5.80406754
Croat_Croatia_Dalmatia


5.80436904
Serb_B&H_Bosnia_proper


5.80901024
Serb_B&H


5.99739944
Serb_Croatia_Lika


6.01473191
Croat_B&H_West_Bosnia


6.07313757
Croat_B&H


6.09165002
Hungarian_Transylvania


6.23098708
Croat_B&H_Bosnia


</tbody>


<tbody>
Distance to:
Vaslui_ind


3.91132970
Romania_Moldova_Nord


4.42599141
Romania_Moldova_Csango


5.19812174
Romania_Transilvania_Szekely


5.48822376
Romania_Crisana


5.88583972
Romania_Transilvania_Hungarian


6.24446955
Romania_Moldova_Sud


6.44228220
Romania_Maramures


6.97595872
Romania_Transilvania


7.75025161
Romania_Oltenia


8.65043930
Romania_Banat


8.69416471
Romania_Muntenia


9.19384033
Romania_Dobrogea


10.05004478
Bulgarian


12.07379808
Ukrainian_Ivano_Frankivsk


13.10041221
Aromanian_North-Macedonia-Highlander


13.76165324
Aromanian_North-Macedonia


17.38330233
Ukrainian_Lviv


18.60935517
Aromanian_Central-Macedonia


26.48321922
Crimean_Tatar


28.25065840
Romania_Dobruja_Tatar


31.24397862
Romania_Jewish


35.04522079
Romania_Roma


</tbody>

Target: Vaslui_ind
Distance: 3.5133% / 3.51333465 | ADC: 0.25x
67.0 Romania_Moldova_Nord
30.4 Romania_Transilvania_Szekely
2.6 Romania_Jewish

-Hungarian
Target: Vaslui_ind
Distance: 3.8681% / 3.86808542 | ADC: 0.25x
98.8 Romania_Moldova_Nord
1.2 Romania_Jewish


<tbody>
Distance to:
Vaslui_ind


3.83241438
Romania_Moldavia_Vaslui


5.57722153
Romania_Moldavia_Csango


6.29961110
Romania_Moldavia_Bacau


8.28276524
Romania_Moldavia_Galati


8.55083622
Romania_Moldavia_Vrancea


9.42039277
Romania_Moldavia_Ukrainian


10.29471709
Romania_Moldavia_3/4Romanian_1/4Roma


31.24397862
Romania_Moldavia_Jewish


</tbody>

[Ion Basescul]

Galati (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


22.52
27.45
17.38
8.35
20.94
2.51
0.42
0
0
0
0.28
0.15
0

</tbody>
</google-sheets-html-origin>
Compared to others from Galati

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


25.66
20.54
19.38
7.46
19.11
3.14
0
1.73
1.97
0
0.31
0.71
0


25.16
26.55
17.24
7.34
18.67
1.22
0.10
0.55
2.79
0.26
0
0
0.11


22.46
22.60
20.88
9.02
18.60
2.24
0.54
1.14
1.35
0.46
0.27
0
0.42


22.08
24.92
18.64
9.44
20.04
0.67
2.40
0.51
0.33
0.62
0.34
0
0


22.69
29.15
17.61
8.40
16.84
0
2.13
2.38
0
0
0.61
0.19
0


21.56
26.67
17.52
13.26
15.33
2.80
0
0.23
0.61
1.01
0.85
0
0.17


23.39
25.98
18.41
11.38
15.27
1.44
1.47
0
0.40
0.95
1.06
0
0.26

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Galati_ind


3.68148068
Serb_Serbia_South&East


3.85616390
Bulgarian_Pleven


3.86715176
Macedonian


4.06600541
Bulgarian_Sofia


4.27214232
Romania_Banat


4.39094523
Serb_B&H_Herzegovina


4.72414013
Romanian_Wallachia


4.74336379
Romania_Transylvania


4.84607057
Romania_Dobruja


4.99761943
Bulgarian_Stara-Zagora


5.00732463
Moldova_South


5.02485821
Romania_Muntenia


5.04833636
Montenegrin


5.05069302
Romanian_Oltenia


5.19094404
Bulgarian


5.21724065
Bosniak_Sandzak


5.30031131
Romania_Moldavia_South


5.55965826
Macedonian_Northwest


5.81184136
Macedonian_East


5.99964999
Macedonian_North


6.08038650
Serb_Serbia


6.08866981
Romania_Crisana


6.15717468
Bulgarian_Central


6.18043688
Romania_Moldavia_average


6.22108511
Bulgarian_Serres

</tbody>


<tbody>
Distance to:
Galati_ind


4.27214232
Romania_Banat


4.74336379
Romania_Transilvania


4.84607057
Romania_Dobrogea


5.02485821
Romania_Muntenia


5.05069302
Romania_Oltenia


5.19094404
Bulgarian


5.30031131
Romania_Moldova_Sud


6.08866981
Romania_Crisana


6.84561904
Romania_Maramures


7.25364736
Romania_Moldova_Nord


7.61465035
Aromanian_North-Macedonia-Highlander


8.95551785
Romania_Moldova_Csango


9.23272441
Aromanian_North-Macedonia


10.71065709
Romania_Transilvania_Szekely


11.13251393
Romania_Transilvania_Hungarian


12.88959270
Aromanian_Central-Macedonia


15.94832593
Ukrainian_Ivano_Frankivsk


22.59671436
Ukrainian_Lviv


25.79163236
Romania_Jewish


28.85614666
Crimean_Tatar


31.12790709
Romania_Dobruja_Tatar


33.11325414
Romania_Roma

</tbody>

Target: Galati_ind
Distance: 2.9868% / 2.98682538 | ADC: 0.25x
39.2 Romania_Banat
18.4 Romania_Crisana
11.6 Romania_Maramures
11.0 Ukrainian_Ivano_Frankivsk
10.6 Aromanian_North-Macedonia-Highlander
9.2 Romania_Jewish

-Ukrainian, Aromanian, Jewish
Target: Galati_ind
Distance: 3.8733% / 3.87330597 | ADC: 0.25x
70.2 Romania_Banat
26.6 Romania_Crisana
3.2 Romania_Muntenia


<tbody>
Distance to:
Galati_ind


4.11111907
Romania_Moldavia_Galati


5.01742962
Romania_Moldavia_Bacau


5.62943159
Romania_Moldavia_Vrancea


7.43376755
Romania_Moldavia_Vaslui


8.14231540
Romania_Moldavia_3/4Romanian_1/4Roma


10.50248066
Romania_Moldavia_Csango


13.89068393
Romania_Moldavia_Ukrainian


25.79163236
Romania_Moldavia_Jewish

</tbody>

[Ion Basescul]

Galati (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


30.11
20.59
20.39
10.51
13.94
2.83
0.03
0
1.49
0.03
0.08
0
0

</tbody>
</google-sheets-html-origin>
Compared to others from Galati

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


22.52
27.45
17.38
8.35
20.94
2.51
0.42
0
0
0
0.28
0.15
0


25.66
20.54
19.38
7.46
19.11
3.14
0
1.73
1.97
0
0.31
0.71
0


25.16
26.55
17.24
7.34
18.67
1.22
0.10
0.55
2.79
0.26
0
0
0.11


22.46
22.60
20.88
9.02
18.60
2.24
0.54
1.14
1.35
0.46
0.27
0
0.42


22.08
24.92
18.64
9.44
20.04
0.67
2.40
0.51
0.33
0.62
0.34
0
0


22.69
29.15
17.61
8.40
16.84
0
2.13
2.38
0
0
0.61
0.19
0


21.56
26.67
17.52
13.26
15.33
2.80
0
0.23
0.61
1.01
0.85
0
0.17


23.39
25.98
18.41
11.38
15.27
1.44
1.47
0
0.40
0.95
1.06
0
0.26

</tbody>
</google-sheets-html-origin>


<tbody>
Distance to:
Galati_ind


7.30724298
Friuli-VG


8.23989078
Trentino


8.60811826
Montenegrin


8.82031745
Veneto


8.84285022
Bulgarian_Central


8.86833130
Swiss_French


9.06857210
Macedonian_Northwest


9.09550988
Romanian_Oltenia


9.48623740
Romania_Transylvania


9.52174879
Bulgarian_Southwest


9.58846605
North_Macedonian


9.76016393
Serb_Croatia_Dalmatia


9.83211066
Bosniak_Sandzak


9.87612778
Romania_Moldavia_South


9.96161132
Bulgarian_Serres


9.99398319
Romania_Crisana


10.12655659
Macedonian


10.15816913
Bulgarian_Gabrovo


10.16273585
FRA_Provence


10.18320185
Hungarian_Szekely


10.22931083
Vlach_North-Macedonia


10.24827303
Romanian_Wallachia


10.25023902
Piedmont


10.55649563
Serb_Croatia


10.55713503
Hungarian_Transylvania


</tbody>


<tbody>
Distance to:
Galati_ind


9.09550988
Romania_Oltenia


9.48623740
Romania_Transilvania


9.87612778
Romania_Moldova_Sud


9.97782139
Romania_Transilvania_Szekely


9.99398319
Romania_Crisana


10.22931083
Aromanian_North-Macedonia


10.65471703
Romania_Transilvania_Hungarian


11.28122334
Romania_Muntenia


11.33799806
Romania_Dobrogea


11.43880676
Bulgarian


11.46452354
Romania_Moldova_Csango


11.68921725
Romania_Banat


12.19084903
Romania_Moldova_Nord


12.39463997
Aromanian_North-Macedonia-Highlander


12.43458483
Romania_Maramures


14.36975296
Aromanian_Central-Macedonia


20.35018673
Ukrainian_Ivano_Frankivsk


24.91646243
Ukrainian_Lviv


29.00904859
Romania_Jewish


29.19589012
Crimean_Tatar


32.13236997
Romania_Dobruja_Tatar


34.31062809
Romania_Roma


</tbody>

Target: Galati_ind
Distance: 6.9740% / 6.97395504 | ADC: 0.25x
51.2 Romania_Transilvania_Szekely
48.8 Aromanian_North-Macedonia


<tbody>
Distance to:
Galati_ind


8.78895329
Romania_Moldavia_Galati


9.90649787
Romania_Moldavia_Vrancea


9.95666109
Romania_Moldavia_Vaslui


10.67516745
Romania_Moldavia_Bacau


11.30039380
Romania_Moldavia_Csango


13.04254193
Romania_Moldavia_3/4Romanian_1/4Roma


17.63558618
Romania_Moldavia_Ukrainian


29.00904859
Romania_Moldavia_Jewish


</tbody>

[Aspirin]

Galati (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


30.11
20.59
20.39
10.51
13.94
2.83
0.03
0
1.49
0.03
0.08
0
0

</tbody>
</google-sheets-html-origin>


30% N. Atlantic and 20% Baltic?

https://media1.giphy.com/media/Lcn0yF1RcLANG/giphy.gif

[Ion Basescul]

30% N. Atlantic and 20% Baltic?

https://lh3.googleusercontent.com/proxy/0XJEYgEbOvQrzb5xNYPd5rMy0ev6P11E1_Nr6wxIO85byBlhXR MbeMVEH-Vqp-QTsnVJ1Kk_33UupurXBMJfEOssszEAf6soXbEnVrb_Y1SSa72p EDqSQH4I2txdiik

An actual user from Apricity. Maybe he will like to talk about it, but as far as it was communicated to me, all 4 gp are ethnic Romanians from there.

[Ion Basescul]

From Briceni (Republic of Moldova)
both parents born in the town of Lipcani

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


22.85
36.30
13.11
9.12
13.06
1.59
0
0
2.69
1.27
0
0
0

</tbody>
</google-sheets-html-origin>
Compared to others from Moldova


<tbody>
Distance to:
Briceni_ind


3.10332080
Moldova_Briceni


3.92905841
Moldova_Edinet


4.20320116
Moldova_Falesti


4.41293553
Moldova_1/2Moldovan_1/2EastSlavic


4.94263088
Moldova_Soldanesti


5.43335992
Moldova_Chisinau


5.72524235
Moldova_Glodeni


5.74492820
Moldova_Balti


5.87853723
Moldova_Floresti


6.23725901
Moldova_Ialoveni


6.24422934
Moldova_AneniiNoi


6.30713088
Moldova_Telenesti


6.35513965
Moldova_Eurogenes


6.95667306
Moldova_Rezina


6.98259264
Moldova_Ocnita


7.24945515
Moldova_Orhei


7.47627581
Moldova_Straseni


7.85466104
Moldova_Transnistria


8.51442893
Moldova_Cimislia


8.62332882
Moldova_Nisporeni


8.69926434
Moldova_Calarasi


9.68274754
Moldova_Hincesti


9.91644089
Moldova_Ukrainian


10.14265744
Moldova_Ungheni


11.73326042
Moldova_Causeni


14.52854432
Moldova_Cahul


14.93882526
Moldova_StefanVoda


17.42462338
Moldova_Gagauzia


18.52219209
Moldova_Cantemir


19.02911191
Moldova_Bulgarian


37.05237374
Moldova_Jewish


38.62551100
Moldova_Roma


</tbody>



Target: Briceni_ind
Distance: 2.7121% / 2.71206988 | ADC: 0.25x
68.2 Moldova_Centre
11.8 Russian_Pinega
11.4 Moldova_Ukrainian
8.6 Ukrainian_Ivano_Frankivsk

[Aspirin]

From Briceni (Republic of Moldova)
both parents born in the town of Lipcani


Can you post the Oracle too?

[Ion Basescul]

Can you post the Oracle too?

Sure, I usually avoid it because we both know that the average was made by slapping several ethnicities together. And because of that, I'm also skeptical with regards to other nationalities.


<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 374px"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"></colgroup><tbody>

N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


Original GEDmatch Moldovan
24.45
33.59
14.99
9.79
10.47
1.56
1.29
0.52
1.31
0.78
0.75
0.08
0.41


Average North
25.89
33.33
14.92
8.89
11.43
1.48
0.65
0.56
1.47
0.35
0.61
0.17
0.26


Average Centre
23.30
30.44
15.09
10.01
14.77
1.87
1.22
0.60
1.44
0.52
0.38
0.14
0.20


Average South
21.68
25.46
18.06
10.91
18.15
2.51
0.41
0.61
1.02
0.58
0.39
0.10
0.12

</tbody>
</google-sheets-html-origin>


# Population Percent
1 Baltic 36.3
2 North_Atlantic 22.85
3 West_Med 13.11
4 East_Med 13.06
5 West_Asian 9.12
6 Siberian 2.69
7 Red_Sea 1.59
8 Amerindian 1.27


Single Population Sharing:


# Population (source) Distance
1 Moldavian 4.57
2 Croatian 5.83
3 Ukrainian_Lviv 9.59
4 Serbian 9.75
5 Hungarian 9.84
6 Ukrainian 10.62
7 South_Polish 11.02
8 Romanian 12.26
9 Southwest_Russian 12.66
10 Ukrainian_Belgorod 13.09
11 Bulgarian 13.64
12 Polish 14.01
13 Austrian 14.76
14 East_German 14.87
15 Russian_Smolensk 15.15
16 Estonian_Polish 15.52
17 Belorussian 16.25
18 Kargopol_Russian 16.56
19 Erzya 17.43
20 Tatar 17.76


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 69.9% Southwest_Russian + 30.1% Central_Greek @ 1.94
2 72.9% Southwest_Russian + 27.1% South_Italian @ 1.95
3 64% Southwest_Russian + 36% Greek_Thessaly @ 2
4 51.9% Southwest_Russian + 48.1% Bulgarian @ 2.06
5 56.2% Bulgarian + 43.8% Erzya @ 2.1
6 58.9% Romanian + 41.1% Erzya @ 2.14
7 70.9% Southwest_Russian + 29.1% East_Sicilian @ 2.21
8 54.9% Bulgarian + 45.1% Kargopol_Russian @ 2.21
9 80.6% Ukrainian + 19.4% Cyprian @ 2.35
10 82.6% Ukrainian + 17.4% Lebanese_Christian @ 2.36
11 82.4% Ukrainian + 17.6% Samaritan @ 2.56
12 82.3% Ukrainian + 17.7% Lebanese_Druze @ 2.63
13 63.4% Ukrainian_Belgorod + 36.6% Greek_Thessaly @ 2.7
14 71% Southwest_Russian + 29% West_Sicilian @ 2.71
15 70% Southwest_Russian + 30% Italian_Abruzzo @ 2.73
16 50.8% Romanian + 49.2% Southwest_Russian @ 2.75
17 75.6% Southwest_Russian + 24.4% Algerian_Jewish @ 2.76
18 81.2% Ukrainian + 18.8% Lebanese_Muslim @ 2.76
19 51.1% Ukrainian_Belgorod + 48.9% Bulgarian @ 2.79
20 75.7% Southwest_Russian + 24.3% Sephardic_Jewish @ 2.83

[Aspirin]

# Population Percent
1 Baltic 36.3
2 North_Atlantic 22.85
3 West_Med 13.11
4 East_Med 13.06
5 West_Asian 9.12
6 Siberian 2.69
7 Red_Sea 1.59
8 Amerindian 1.27


Single Population Sharing:


# Population (source) Distance
1 Moldavian 4.57
2 Croatian 5.83
3 Ukrainian_Lviv 9.59
4 Serbian 9.75
5 Hungarian 9.84
6 Ukrainian 10.62
7 South_Polish 11.02
8 Romanian 12.26
9 Southwest_Russian 12.66
10 Ukrainian_Belgorod 13.09
11 Bulgarian 13.64
12 Polish 14.01
13 Austrian 14.76
14 East_German 14.87
15 Russian_Smolensk 15.15
16 Estonian_Polish 15.52
17 Belorussian 16.25
18 Kargopol_Russian 16.56
19 Erzya 17.43
20 Tatar 17.76


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 69.9% Southwest_Russian + 30.1% Central_Greek @ 1.94
2 72.9% Southwest_Russian + 27.1% South_Italian @ 1.95
3 64% Southwest_Russian + 36% Greek_Thessaly @ 2
4 51.9% Southwest_Russian + 48.1% Bulgarian @ 2.06
5 56.2% Bulgarian + 43.8% Erzya @ 2.1
6 58.9% Romanian + 41.1% Erzya @ 2.14
7 70.9% Southwest_Russian + 29.1% East_Sicilian @ 2.21
8 54.9% Bulgarian + 45.1% Kargopol_Russian @ 2.21
9 80.6% Ukrainian + 19.4% Cyprian @ 2.35
10 82.6% Ukrainian + 17.4% Lebanese_Christian @ 2.36
11 82.4% Ukrainian + 17.6% Samaritan @ 2.56
12 82.3% Ukrainian + 17.7% Lebanese_Druze @ 2.63
13 63.4% Ukrainian_Belgorod + 36.6% Greek_Thessaly @ 2.7
14 71% Southwest_Russian + 29% West_Sicilian @ 2.71
15 70% Southwest_Russian + 30% Italian_Abruzzo @ 2.73
16 50.8% Romanian + 49.2% Southwest_Russian @ 2.75
17 75.6% Southwest_Russian + 24.4% Algerian_Jewish @ 2.76
18 81.2% Ukrainian + 18.8% Lebanese_Muslim @ 2.76
19 51.1% Ukrainian_Belgorod + 48.9% Bulgarian @ 2.79
20 75.7% Southwest_Russian + 24.3% Sephardic_Jewish @ 2.83

Very northern.

[Ion Basescul]

Very northern.

Reminds me of my mom's Oracle



# Population Percent
1 Baltic 37.3
2 North_Atlantic 19.44
3 West_Med 15.6
4 East_Med 13.19
5 West_Asian 10.04
6 East_Asian 1.49
7 South_Asian 0.95
8 Oceanian 0.82
9 Red_Sea 0.47
10 Amerindian 0.41
11 Siberian 0.28


Single Population Sharing:


# Population (source) Distance
1 Moldavian 6.25
2 Croatian 7.99
3 Ukrainian_Lviv 11.42
4 Serbian 11.5
5 Ukrainian 12.18
6 Romanian 13.11
7 Hungarian 13.15
8 South_Polish 13.26
9 Bulgarian 13.68
10 Southwest_Russian 14.19
11 Ukrainian_Belgorod 14.26
12 Polish 15.81
13 Russian_Smolensk 16.57
14 Estonian_Polish 17.02
15 Austrian 17.59
16 East_German 17.62
17 Belorussian 17.97
18 Kargopol_Russian 18.35
19 Erzya 18.65
20 Tatar 20.11


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 78.9% Ukrainian + 21.1% Cyprian @ 4.64
2 61.7% Ukrainian_Belgorod + 38.3% Greek_Thessaly @ 4.88
3 58.5% Bulgarian + 41.5% Erzya @ 4.88
4 51.2% Bulgarian + 48.8% Ukrainian_Belgorod @ 4.94
5 81.4% Ukrainian + 18.6% Lebanese_Christian @ 4.99
6 68% Ukrainian_Belgorod + 32% Central_Greek @ 5.04
7 51.1% Bulgarian + 48.9% Southwest_Russian @ 5.06
8 68.2% Southwest_Russian + 31.8% Central_Greek @ 5.12
9 81.1% Ukrainian + 18.9% Samaritan @ 5.13
10 61.9% Southwest_Russian + 38.1% Greek_Thessaly @ 5.13
11 80.8% Ukrainian + 19.2% Assyrian @ 5.14
12 73.9% Ukrainian_Belgorod + 26.1% Algerian_Jewish @ 5.18
13 71.3% Ukrainian_Belgorod + 28.7% South_Italian @ 5.21
14 69.1% Ukrainian_Belgorod + 30.9% East_Sicilian @ 5.25
15 66.6% Lithuanian + 33.4% Cyprian @ 5.29
16 79.9% Ukrainian + 20.1% Lebanese_Muslim @ 5.29
17 81.5% Ukrainian + 18.5% Kurdish_Jewish @ 5.31
18 62.6% Bulgarian + 37.4% Lithuanian @ 5.31
19 76.1% Southwest_Russian + 23.9% Cyprian @ 5.33
20 80.8% Ukrainian + 19.2% Georgian_Jewish @ 5.35

[Aspirin]

Reminds me of my mom's Oracle



# Population Percent
1 Baltic 37.3
2 North_Atlantic 19.44
3 West_Med 15.6
4 East_Med 13.19
5 West_Asian 10.04
6 East_Asian 1.49
7 South_Asian 0.95
8 Oceanian 0.82
9 Red_Sea 0.47
10 Amerindian 0.41
11 Siberian 0.28


Single Population Sharing:


# Population (source) Distance
1 Moldavian 6.25
2 Croatian 7.99
3 Ukrainian_Lviv 11.42
4 Serbian 11.5
5 Ukrainian 12.18
6 Romanian 13.11
7 Hungarian 13.15
8 South_Polish 13.26
9 Bulgarian 13.68
10 Southwest_Russian 14.19
11 Ukrainian_Belgorod 14.26
12 Polish 15.81
13 Russian_Smolensk 16.57
14 Estonian_Polish 17.02
15 Austrian 17.59
16 East_German 17.62
17 Belorussian 17.97
18 Kargopol_Russian 18.35
19 Erzya 18.65
20 Tatar 20.11


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 78.9% Ukrainian + 21.1% Cyprian @ 4.64
2 61.7% Ukrainian_Belgorod + 38.3% Greek_Thessaly @ 4.88
3 58.5% Bulgarian + 41.5% Erzya @ 4.88
4 51.2% Bulgarian + 48.8% Ukrainian_Belgorod @ 4.94
5 81.4% Ukrainian + 18.6% Lebanese_Christian @ 4.99
6 68% Ukrainian_Belgorod + 32% Central_Greek @ 5.04
7 51.1% Bulgarian + 48.9% Southwest_Russian @ 5.06
8 68.2% Southwest_Russian + 31.8% Central_Greek @ 5.12
9 81.1% Ukrainian + 18.9% Samaritan @ 5.13
10 61.9% Southwest_Russian + 38.1% Greek_Thessaly @ 5.13
11 80.8% Ukrainian + 19.2% Assyrian @ 5.14
12 73.9% Ukrainian_Belgorod + 26.1% Algerian_Jewish @ 5.18
13 71.3% Ukrainian_Belgorod + 28.7% South_Italian @ 5.21
14 69.1% Ukrainian_Belgorod + 30.9% East_Sicilian @ 5.25
15 66.6% Lithuanian + 33.4% Cyprian @ 5.29
16 79.9% Ukrainian + 20.1% Lebanese_Muslim @ 5.29
17 81.5% Ukrainian + 18.5% Kurdish_Jewish @ 5.31
18 62.6% Bulgarian + 37.4% Lithuanian @ 5.31
19 76.1% Southwest_Russian + 23.9% Cyprian @ 5.33
20 80.8% Ukrainian + 19.2% Georgian_Jewish @ 5.35

Yes, similar results, but your mother is mixed, he is not.

[Ion Basescul]

I've got some very rare results donated to me, which I will process and share tomorrow.
A Moldovan/Romanian with parents from Bolgrad and Izmail in the Budjak region of Ukraine.

[Ion Basescul]

I've got some very rare results donated to me, which I will process and share tomorrow.
A Moldovan/Romanian with parents from Bolgrad and Izmail in the Budjak region of Ukraine.

As promised

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


18.04
26.87
17.24
12.49
19.31
2.99
0.68
0.27
1.35
0.76
0
0
0

</tbody>
</google-sheets-html-origin>
Compared to other South Moldovans

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


18.71
29.10
18.39
10.79
14.63
4.48
0
0.85
0
2.02
0.74
0.25
0


21.75
29.53
15.63
11.25
16.39
0.98
1.08
0
3.24
0
0.15
0
0


25.66
20.54
19.38
7.46
19.11
3.14
0
1.73
1.97
0
0.31
0.71
0


24.58
26.99
16.65
9.73
18.18
0.81
0.65
0
0
1.67
0.67
0
0.08


25.52
22.73
18.64
10.79
16.15
1.81
0.56
0.39
1.59
1.43
0.39
0
0


22.29
23.14
18.52
9.30
22.34
0.76
0
0.51
1.65
0.89
0.23
0.38
0


22.37
27.22
20.67
11.29
12.72
2.47
0.35
0
2.30
0.43
0.19
0
0


25.53
21.30
17.70
11.50
17.99
1.44
0.76
1.26
0.73
1.10
0.57
0
0.15


22.73
24.91
19.63
10.59
16.07
1.66
1.38
0.20
1.36
0.94
0.53
0
0


21.01
25.42
16.62
11.92
18.51
4.11
0.58
0
0
0
0.50
0.51
0.82


18.42
25.95
16.17
15.44
17.84
3.82
0.56
0.56
0
1.25
0
0
0


18.27
19.97
19.01
15.32
19.44
4.68
0.12
1.50
0.68
0.54
0
0
0.48


19.84
23.81
19.67
11.16
19.93
3.16
0
0.00
1.21
0.29
0.52
0
0.40


22.08
23.50
19.95
9.57
19.50
3.24
0
1.74
0.34
0
0.08
0
0


16.91
24.06
20.61
12.07
23.58
0
0.52
0
1.03
0
0.29
0.45
0.50


20.23
23.81
21.69
7.85
19.98
3.35
0
0
2.91
0
0.19
0
0


21.08
28.93
14.78
9.89
19.66
4.48
0.57
0.61
0
0
0
0
0


21.23
24.68
15.16
12.29
20.35
3.67
0
0
2.38
0
0.25
0
0


26.39
24.34
17.44
13.21
12.41
4.18
0
0.31
0.71
0
0.89
0
0.12

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Bolhrad_ind


3.79639302
Moldova_StefanVoda


4.24366587
Bulgaria_Northcentral


4.62403503
Pomak_Nevrokopi


4.78118186
Romania_Muntenia


4.83393215
Bulgaria_Northwestern


4.83646565
Bulgaria_Southcentral


4.85996914
Bulgaria_average


4.91451931
Romania_Dobruja


5.06033596
Moldova_Gagauzia


5.17741248
Moldova_Ungheni


5.26155870
Romania_Banat


5.42990792
Pomak_Drama


5.48498861
Macedonian_Central


5.57640565
Romania_Wallachia


5.83334381
Bulgaria_Southwestern


5.97984114
Bulgaria_Southeastern


6.15126003
Romania_average


6.28036623
Bulgaria_Northeastern


6.31061804
MMacedonian


6.47618715
Moldova_Cimislia


6.47992284
Macedonian_North


6.48383374
Romania_Oltenia


6.63229221
Moldova_Hincesti


6.74544291
Macedonian_Northwest


6.86673139
Serb_Serbia_South&East


</tbody>


<tbody>
Distance to:
Bolhrad_ind


4.52645557
Moldova_South


5.06033596
Moldova_South_Gagauzia


8.58612835
Moldova_Centre


9.16172473
Moldova_Bulgarian


13.66773939
Moldova_North


18.18912587
Ukrainian_Ivano_Frankivsk


23.14622431
Moldova_Ukrainian


23.80914320
Ukrainian_Lviv


24.83952294
Moldova_Jewish


24.95161317
Crimean_Tatar


25.20989488
Ukrainian


27.95123611
Romania_Dobruja-Tatar


30.46376044
Russian_Smolensk


30.46546898
Moldova_Roma


36.82033584
Russian_Pinega

</tbody>


Target: Bolhrad_ind
Distance: 4.2186% / 4.21864447 | ADC: 0.25x
92.2 Moldova_South
2.8 Moldova_Jewish
2.8 Crimean_Tatar
1.2 Moldova_Roma
1.0 Russian_Pinega


<tbody>
Distance to:
Bolhrad_ind


3.79639302
Moldova_StefanVoda


5.06033596
Moldova_Gagauzia


5.17741248
Moldova_Ungheni


6.47618715
Moldova_Cimislia


6.63229221
Moldova_Hincesti


7.39275997
Moldova_Cahul


7.74342947
Moldova_Causeni


8.37581638
Moldova_Eurogenes


8.44975148
Moldova_Ialoveni


9.16172473
Moldova_Bulgarian


9.92043850
Moldova_Calarasi


9.98363160
Moldova_Chisinau


10.15087188
Moldova_Straseni


10.30358675
Moldova_Nisporeni


10.84587018
Moldova_Soldanesti


10.86261939
Moldova_Balti


11.26948091
Moldova_Telenesti


11.49923911
Moldova_Cantemir


12.28151456
Moldova_Edinet


12.50733785
Moldova_Orhei


12.55245394
Moldova_Briceni


12.79983984
Moldova_Ocnita


13.03861572
Moldova_Glodeni


13.46828497
Moldova_AneniiNoi


14.03177822
Moldova_Falesti


14.61447570
Moldova_Floresti


16.23802020
Moldova_1/2Moldovan_1/<wbr>2EastSlavic


16.58335913
Moldova_Transnistria


17.00424065
Moldova_Rezina


23.14622431
Moldova_Ukrainian


24.83952294
Moldova_Jewish


30.46546898
Moldova_Roma

</tbody>

[Ion Basescul]

Yes, similar results, but your mother is mixed, he is not.

He definitely is, but not recently. People in the North seem to be quite the Ukrainian mix. Far from pure, just like those in the South seem to be mixed with a Southern element. All of Moldova is a big corcitura.

[Leto]

Very Southern for someone from Odessa oblast but then again, he is more native to the region than the (Russo-)Ukrainians living there.

[Ion Basescul]

Very Southern for someone from Odessa oblast but then again, he is more native to the region than the (Russo-)Ukrainians living there.

Yep, the Stefan Voda samples from the village of Caplani are also on the border with Odessa Oblast. And as a group they are our most Southern group from Moldova. Individually, some of them are also the most Southern Moldovans that I've got yet, though I have significantly less samples from the South as opposed to the Centre and North.

[Leto]

Yep, the Stefan Voda samples from the village of Caplani are also on the border with Odessa Oblast. And as a group they are our most Southern group from Moldova. Individually, some of them are also the most Southern Moldovans that I've got yet, though I have significantly less samples from the South as opposed to the Centre and North.

https://www.theapricity.com/forum/image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAfIAAANQCAIAAAB cuHpLAAAgAElEQVR4Aey9Z5MkR5oeyJ xZvfhjF Oa8e9ox3J5R2Pe8PlLmnk3vFmyLXB7u0CvJsdDGYHg4HWYqCBg RgMNLDAoIGGbKjpgdZAay2rujtLZ2VWRmZorfVZhHdFR4Xw8FR VKbytP3h4uIh4yv0Jz9dff95/VCPr P/UIvDWQW2r3n2FITzfm usbtUD4H4xAgCBmVZzwqD4RxP2Pvh1ukLg3SPq6S0a04ImM7LQ 1dPiwhiBYSCAaR0v7ScKgY9OiXsWqGFMFXibi/RaGIaL9KStkuBvje OJgKY1ieK1EZzkG3mU303R39zjtnMHkFfjCIImrz5/eIeMQLTgAA2wkzjh qDo3Pbvj37yO9PX/Xbmb96eOYvHzj4p7fs 59/vntzRvwcuer5/grT2pzucC8YgWlDANP61NH6gcWl792079/evO//uHHfH/ztN//XPSduf Pkbz6c2b7r7OaMflLiZGPLtmo35x1xL OFwITZYTCtTx2tp fbja c h//fu/zX5xJZw47bTlOg sMuxfcPkYAHQFM61PNg gDZfRL3vfOqT/62a5rtq38 W37L3708OY8MCHQumVuTl 4F4wAIgKY1jGtTwIC97596h//6LuPjs 9fyzaurzyhWP/9Ge7ZokVxGnQczHdMgmB7rk6rogRGAYCmNYngdSGMTLGqM0bXz nx57ft3zu/WCPr7xxRwZM/89nsV7MLQ32LBtexXWeoXeDGMQI9IIBpHdP62CNw0/YTe2JOr5H1944qZ9qbdNRT0lVS4nqYdbgKRmCoCMxu1hQY6lsk jeMt07Hn6ORv2VXiL 468MdX7/nlmydvfn31z249MNMauvllnmxER5AofARpSodcV Nzkwvj1ToelGOPwMM7T//o8SPfnVv864cPbdtF3vLq7M3bTwx7InVEVsF jViCaSQRwLQ 9qQ2bP4a/fYf3nn62peO18j6Nb89fv97jac W7r0qSPDfmzNNPBm6bBBxu33hgCmdUzrY4/AkZXlP7lx7x1vnLzoV4f 053HvnfzwVe G 5ZpCVmzff93qYcroURGDYCmNbHntSGPURGv/3Dy0t/ cDBy587escbJ29/c/GpzxrDfmZa5rEIzLBBxu33jACmdUzrE4XAgaXOjiNy4hjT88SA VzQdG58shUOE724hApvmDLY574g9YSaKo1EGza/eP33Dy8d//OSRH9x38E9u3PuHP939B3/7zR/ dBdK3d7K1Nk2dlfvDTpcCyPQAwKY1qeO1n/85JFrXzp 2dNHb3zlxDsHat cXXj8c EH9x3sYfQgVuFUiVVwxIypG2mIw2MUiuHVOh6dk4DAf77nwIHF JTCjXjtg/PXDh94/XBvSBHM9D8vwDglb3OxAEJghGuc6kzCvARp4tT45f8uuxvcP7j t4z9unamR9lli5 XXiH//dd7tqkZbAwP v8aRhY22vwQM78L/UNDd4rrM6SwzdcWDTEMa0PqXz7fdH5/7NDXu/d9O / 26vf/8qkO/ WhY2rySrlJYMGAI38tN44gp6WiSnGEwrU8prYO5emRl fTayluHtBPNtWHM3vOCAThmKab1kUcA0/pUU Ew6G9L2vztN2cf3nn6pu0n/uuDs//n3Ue d9O P7p895/esm AD9MWGcXQB9ggbgojMCQEMK1jWh97BD47Nf XDxy85LHDV//2 JUvzv9yx8qO/bWvZhdONJYHOG1ULBgw8qvUAf65x7qpSXKGwUaYsSfo/ufSJ6eFnz47N3BPgCV6zQ/8uc4mqf72jwNuASMwGQhgWp9eWn/ izP/ /V7/9kVu5/8rPE3v659/94Bu67TMi9qymTME/wWE48AXq1PLxVO0uD izsPvL7n3Ken5v/97Yde3af83RNH3th7boAvaDp2E4eixkaYMUEA29YxrU8CAv/l/oOv7o54/D/ 8sA97zF//dChAdJ6nSWwYMAAv5G4qWEjgGl9Ekht2KNk9Nv/8Njcn9267ydPHf3X1 /9p5cfuOhXhwb4zLFggDjABnFTGIGhInCuszrTmpATSdi2Pr2fq F21xR/cd/CON06 faC2bY9xdqB7m67nrjDEUOchbhwjMFgEJmbBjml9emk9mRIzrZ X7329f/g/n/vKBg5 fnk/ye07EggFWz9VxRYzAliCAaR2z4SQgcNvrJ//9bfv/4G / eNrDvzg/tn/cMf z08v9D jJF3BggH9w4hb2GQEBvuDdZMfPt0dXq1PAjun/6JdpV/fc 7lb88eWVk R9Zf2m3/9usz/ 2xw121kC88T64GQbBED0WNIN8dzsEIYAQyCGBan2paT4 Gl3bbL3xd/7/vOZDO7CHdFhjFxIIBeFyNHwJn2njLdEzcUXsgpqmqcqKx/PK3Z6/fdvxPbjz6P1y258lPZvt8fdXUCYHpsxFcHSOwJQhMhnkdr9bHb 00x2OF 8a8P/ C g1e/eOy 9 pvHYoOhb5zsHbjKyf 9tFerDGLdDMIgjkSCwZM 7ga7CjdtNYwreOBO1EInG2vvrTbrpH1e9859fjHMx f6MUlJhIM0LFgwEQNjE2j1FHoCNM6HrtjicBcZ7XJkYUL6tcOG LvmqH5ml2lbTY7spwVcFyOwhQhgWh9LUtvCEbO1Xa8wBCVxqqk HQWDYVkdk88/z1iFt53E5n4 YU2cIx3MRC NiGIERRADTOqb1UUdgkW4SAi3qiuO5tusImkwI9CLV7IisVGQq eS0AOwwvc03ThFZBQsGjPqo6O2POyW1znXq58bfGQRvmU7mJJR 1zXFdPwgUQyclbplppaflMtNy3IJl9SzReGm3vWuO vbc4lOfzP7q/dPpWpVpBwsGjD8jVP6VcYHRRwDT qTR irb1i3TdhxJVyHjz/O9xY0hRj88Pvfg 6f/4u7T/9Ple/7VNXv 3S37/l03AfCaPGnYWDBg0oYTZAhN6q1ZYuy91zGtT848nCNXOVX0fb8 jsqTECRrMSi4bGiHQYGbOEiv/6po9//q6vX9 2/7//ke7bnm9fmBx6Uy7/l/vP3h4ZQlx9pq2xanYAjM5wwnx7z55xSbAvI5pfULmIcHTtuuIu rJINWtkvS0w8NU6tZH339p3bqa1UiPrf/XwzNXbzisv/s0jh1 LBdkrp25HZD3fs2x7gRr7lU7ly ICk40ApvUJ4cTxGqZz5OoC1Vikmot0c5lZW2Fasq5ajr3GX/BNbPGUYmiQ96qzhOVEXuqZ/z/81eE/v/30rjnq1Fq0hH/7QC1TIH/Z4DphGNbZNqeIKpYNyEGaRwznjDICmNazpDDKf63xfTZOkYIg8 Hw/CIIw/gcuXc9zXNdyHEYRMm/X5EjNMjKZmUs/CBbipX2Sf9GvDv2X w7 xztP/4urDvyzK3b/zSPVB00X6abjuYk9R9LVNlYOwMw 5giMO7NjI8xIf5maXMe0Lc00HM9dpJoLVKPwGFHCy0lilW2bVR uYqqmnF/j/6ZcHLn3ySI2sv3tEvec9/oOjczWyvm hwrauWQYjX/io0DLPq1LyGDiBERhHBDCtjzQtjuOQAs 8QDUFTXY9ty0wS8xaoT8i5O1WmFZlKFFa5tObnHe8eRI0 MFx4rpX2j977uTOI3P/4qo9L3x1pqwjQZMzFvwmR qWWVYe52MExgKBcXddx6v1UfwsxTuQPq9K82S0AxnRepenNxfp put58CnU4Dppl8RnP5/98ZNH/tdr9/ybG/b96a2nfvbczNH6MqQFSuYN25rbGCpvkW76vg phW9hBDACw0YA0/po0XqdJTTT0C1zlW0nf/slumtaX6AaflBBr3PkahiG8 tqi09/OnvXjpPvHor2SF87YDz3VfvqF48nz5BJrPGU5/vLTEGsDNdzl4ryMy3gS4zAyCIwM au65jWR4XW5zqrrCIGQUBKXGa4oyy9M1UAZdc6FW nW2aT62Tq1sj6//v43B/9/MCDJadMV5iWH/hrfLGkl2rqLeGCT06 cZyDERhxBGbbjTPtMRaXxrReQXybM/5aidf5xpOfoPceaL1G1oPI0aXCi5xVxPSGZ7Rfeqj2vZv2/e2vTz7zVbGa4xy5ajoWJFRpvs3NwRD3ghEYIAJjvWuKaX2LaX2 JWZMNLeN1nhmdi/Sa51cYyjNVamTdzckD5Mus8VTaD/Lm7Sf yWW7Hv1g5rU9i09/we84VBDkSNZVXoWdX23xtGLgoHdbPK7yf2uc0xUCmNbxCO4RAV rmwzDMrJfzg2 RbvZA67brZBS 8i0vUFEwoyT/zb3nbnv95N8/e/SvHz70vZuP/ Hf7//pM0eTu3PkKqsIqlnhDr/c/QZv0gVOYARGBAFM6z2S2oj8/bbkMWiZtxxbMfRK5q2R9UWq6XXvXmI6dp09LwMAeUfTsdPbs0n Jtw rQKQ3FmrnVVMPw1C3TCBOkBQrTPhBgFKssC7OxAiMAgKY1jGtd 4HAIt0UdcXzfXT/7gWqF69B3TIbRduhmTnDqzIt8 nMr2YX/v6ZY3926 G/uPP45ycYINTe4ulKS33SCGLXSXmcwAhgBAaIALatd8HI/eMOrC6sIi6QDc/3UFbTNbIe0XqVt2L 2SKPlJRKTL4AyCGEC6bwBtep0 y/vGr/XW8s/ofbDm//hvxffrH/9/Fx07Lqhfm8KlPShk9FYTGciREYZQTG91ASpvVNovWWQFmOLRta YnWhZV6GSqInIz52Qr9gAU/y4QlEeZboAFEUbUPzA990rMd2zt/15uyx vJ/vvvAWwe1y55dvfW1E/CO8nfj6Eswtfd8FZyDERg1BMbXDoNpfei0vsy0lNjXJePNPdep u55XaNfOjO95spHe2MzcLbsUNJksCliaLw c5UFUjXvePnXLqxGP//VDh365Y 3f3nISIh6QbwrklMlDlpXH RiBEUQA0/rQyXEE/ qVjxS7johBGGaM10lFSuLg8rmgZG 0zqliWb/JA4CE4144F7pnfvGPr96z8 jcDS8f/5dX7/ rR aPrlbvu2YaBIehEFXJMnXxJUZgRBDAtI5pPYtAW2Acz43iWhSd MEoGruO6lRub8/Ep/6QKYoKRBTYn2FtY13LsFeYCd399ZuHL2YUaWT 80n5tv/nh8eyrFTaSybTQ/HAytfAlRmB0EMC03svMH52/32CfpM62NdMw7OJz Zm SJGtDD1xXgmgSw1rSuIQNXLzjisfHJ27/91T/88jh//JT/f9d5d8u 3bs5nHrryUdLWDZgKqbAoXwAhsCQIzROPsRiW7LXmMHjrFtvVB fpAWqAavSp7v53Vd0n bxSi20YVj/ZbrNEv0VUCt3mi9I7KirqT7LUtnhNef/GT2n1 55789dvih351 YCf3ixdOXfH8sbK6ZfkUFl7v8jNchiTO30IExjRcNab1gdE6KX GeH6npQvy7F8lVhiYy/yWJtywzk9mhWsn/NtkKw7BNXsjpUK01ai3/P/21IHhahsa9S2aLrKtJeKMkEyRe3WfuPL528/aunWGaXAfdMT/TKb7ECGAE kEA0/oAaL0ZC5erplFPqenm/yqFnA7Y3HEcUWAzzJ5c0hQRhiFNt5McSCJh9iZPalUH/cFDCppSZjB5dZ95YLlA4jH/dpmcxZ587TON4EuMwNYicK5KA3VrH6 sd0zrfdE6ODLqxDGMyiAG RBOZ2hCEnnbtsrImqYjWmfQaH2NOq Bvsq201EyII/HqVKZz8yr 8yvz7GQupBbjucWCrJDquBbGIGRQmBMd00xrfdO68mR0UyEoPy 4hHM6YHPbtkWRK2N2dFpnaKIeG 5XGMJy7PzD5HMYWcgHuQbFtu8zv6kV6DjmG8nnKNExVzqfj3Mw AuOCwCzRmGld2AYbl8fGtN47rfOqlInkWfhXr1PNMrJO54siZ9 t2OiedDsMAcbUOanUVKo SSuNK90PrjILqYVmIG87ECIwCAuO4YMe03jut18i6ZhpwWV1ET gdcbNuWJPJpNk/SQdAdra9Ra i6jxCfme17zW/nelytt3iq0ndzFOYtfgaMAAQBTOt9USQE2ZG9BaKMEiWmhq44n aEJUWAdx0moPJ3oltYZmliimmEYokAH8ZmJab1HQ0oPkbVRnha XwQhsMgJjx x4td7vp6jBdYIgWGFamaHWLacDErcsU5IKFuxBELAMkidM8jHo UK0gDObJassgxGdm 17zu7keab1G1v3Ax8LrmYGBL8cOgbGLa4ppvV9ar5F1UuJMx05 LoPTG6QxNCALrugUL9iDwu6V1hiZ8H4lVIT4zr w1d831Hm86DoFdHMl67OY2fmCMwLgggGl9ALReI u8Kifbpz1zOlhom6YpSUKy6AYJ3/dZppPJrLz0PLfOZn9G5IfmCtMq85l5Za/58WkhXwUxhy93nURsARfDCIwCAuN13BTT mBovUbWLSfSAFij1irZFl6A5xnPczNleqN1x3FItvowEdghKJw 8fdI6Fl4vRBVnjh0C42Vex7Q MFrviIyR0wDIsDPipWkasiymC/dG67Zt8TwD3NghEwkSVK9PWsfC6xDY8a3xQmCMmB3T sBofY1acxxHKNcASNM0PC3Loq6r6TK 73Fs10YYyzLB88DnD0RKrE9ah7QMfyR8FyMwaghgWh8YV47an7 bseYDtJRbtKtUASNM0PC0KbEb8y/N6oXXD0KX45GqiKFD2/EFQ7DPTJ63HzjABRPus7HlwPkZg1BDAtD5dtJ62p8NFu BsntzlOCrjD N5HsuSSQHEhK5rye4r3BTj d4SfV5MJj2d qd113OXoIFE0t3hNEZglBGYIardhUfh bERpt8vUJrTz4t2WX0v2Jl2fP7ogoRvb7SuaYqybqPvUDCXGNt 1ktjZ6XH5yl7z7cNaOqfbdCb0UrfVcXmMAEagWwQwrfdF6x26l V84O44NUdnNly/M8X3fdR3D0FVFFgWuN1pXFFlV5KR9yILdLIlR1z t50MvdTtGcXmMwOggMBbxkjCt907rhZxeqbKbkGxVos1ztCTyq iqbphmGIS8wVVUurO5BSUUWNU1J10rU2DPzpIx8 6f1WMex9wNNmefElxiBrUVgLCzsmNZ7pPUyTgccGi/YS1V20zyLmO5BEyb6wEiCrmvpLsr2Tm3Hyesf1Mh6/7Qu6Wpb7FEsbGsnMO4dI5BHANN6j4yZh3LUcuCcHi/YOUhYjDTPoqTZnKkdpRZ4DMPQM4ULTTGQLdM beu8KlESN2p/Qfw8GIGeERh9Zser9a6/PZWcDmgUHhYjQ7XwS46lXDd77hReBdwVBNY0s1FSGZrID gwDOfJ1Xx /6v1KEaH3Lv8QP6RcA5GYGsRwLTeNWlu7R8M3vsiuYrI6ZHKLjQ sBgopJ2V4nult7V9WMWOKWaAafhAUvvsre82XdiOFWCqsXiPrl MTxqlR2F djBMYOgTPt1RFndrxaR/3wdMXpgJFt24LEsUtYuzIhiVzellJZi6EJnqPLBNzTphiIMHr/tN4WmEQEbewmMH5gjEAhAiPuD4NpHYnWe D0OCwG5zilcexQeBmUkXMOLYh1OZbMq4aBumk39jpLmCVRT/undRwjqZAXcCZGYHgIYFqvpvXeOB2wJySOHSI1MzShqoqiSOjl k5KCwNrlZ6MSU0wURsMyCgdZ/7Te4Dq6ZRY2jjMxAuOLwCifOMW0Xk3r6Pb0hE TRBzHrt8FuxFpABSETEp6KUvkHRwzJYEbOyHQsq4WTrD aX2FIcrE3At7xJkYgbFAYJTN65jWK2h9kVzNUGG3l7ZVGngasa lEiBGxfFKscpkPFuykxAmaXDiX qf1Jbrpem5h4zgTIzC CMy0GiMbWwPTegWtZyRfEsZET0ACTyM24jgOz9GIhdPFTNOo3L OtU43IB1Ep9kHsn9YXqEZQ4mYzvlMaPzlGoEbWR3bBjmm9gtb7 scAkDGtZVqUVhWNJnqN5juZYKqkIEr3F0GBoAvF7ADkxBGj96G qBqzv6xA7DMB3oFb0iLokRGGUEZlrNc52C0x5b/syY1mG03r8FBvCyILBljoaggCRyQRA4ju04tue5vu9blqkqsiC wLNMJw5CmsnovGeovvAyCACWwtWZobaH4fP9AaN1Di5S95ZMBP wBGoFsERtMOg2kdRusDWaoDwrUss2zBrqqy57k8f0HJi2M7osC qqmxZVhAEYRgauibLQlemGI7t L5fSPeZTMsySYHOD hznUgT5qXddp r9Vj1t0DMPd8jzsEIYAT6RwDTeimtD2qpDjhUEJhMZAyGJlimb ZqGaZosUxrQjudo13WAT4vrOkEQWJalqpFaLzwMXtkR0wynx7Y am EKRBbPdla3D4LWTduqs 3 BytuASMwggicaY cHQbTeimtD3CpDpg0XrALCasKPOO6rqpe0ENPbqUTwsYAeCzTF gRWVWTLMn3f9zzXMHRZFuPFfjtdUZJ4w9gg35i m057nsuxZOLGnsycs 3B0LpmGU2eTJrFCYzAJCEwghZ2TOvFtD7YpTrgUEFgE8UuSRLC MJTEam90uO85x1KSxOu66jh2GIa2bWmaIokcy5KquiGGRprHM kg8IEJPqPGfqbdGMhqXTY0osjIM0lzG7/LNCMwai4xmNaLab1/v8YMdYJLsGDXNBXRR4WhCUWRKlf06321eZ5VFMk0Dc/zoj1Y21YUKb QXy8PtmHbyZZsWlGgRtZnicb2fQOwrYuaQorsNE97/O6TjcCoLdgxrRfT sAtMIBJBYENgiDW7dpgMNnIsxucXjRNldfjkUKK5W85jqMokqY ptm2FYeg4tq6rksRnHChZZsPOaloCbGad1vuck5wi0jLfZyO4O kZglBEYqQU7pvUCWh GBSahXUSnw6Q8ypGipHA6sdHbvS3wjCyLhqFnHCjjLdkNYu6JK eZ0q/nqvn5DVNfIOi3znCKO8pzEz4YR6BOBaMFOFpBJn832Vh3TesFf YkhLdcC5nueyLJnmX3jati0h5fsIL5zczazBk3yQiB0oucSBMu MHmeydnhoQrZMiWyZO0NuoxbUwAhgBCAKY1rO0PtSlOvAm7Mr9 HLipZHi58pLnGURNYEnkTdPINAhMMafWotX6x6eLdQUgoypzK5 ISM7RMJr7ECEwYAufI ogs2DGtZ2l9qEt1jqM83 tKZTcKTs2gGuITdpZEHjHyRuGWLNg7Pbm2NhBaj4R/zWLh3wmb2Ph1phyBEbGwY1rfQOvDXKq3VVWJDxOZyJ4t0XmliN bpDZuoKJeqIiP2osfnV/NtrlFrJ5oRre aKzip1NXsXWXbhm11VQUXxgiMIwIj4hKDaX0DrQ/Jr1GWBd/3dU1l2U58 BNVgb3n4NSGgSrRDlH9Pd5ovbbf7FM5oEbWl5mW7TrjOEvxM2M EukVgFBbsmNY30PrALTBRfCLbjqhzfduTpgh0Zxh0AYDMcht9o 9V13YzLY9LUyQYxEFpfpJue73U7PXB5jMA4IjAKC3ZM6xdofbA WGI6lDEN3XTd/lNQ0zUoZdMCtYhScOrufmdAuJBF5N7KlOjNJRZomwjBMLjOJmU b7tf0DiFc3T66GYTiOUxQ/M0agBwS2fMGOaf0CrQ9uqd5WVTkMQ1WRCwV1FVnUdTXDoYWXcX BqpJLp6ugW Vjl0UvXTadPr3YGQus1sh4EwQLV6GGG4CoYgbFD4FznAqtsycN jWj//BxjUUl2SBM/zDF2DOKfnTwClyTSdVlW5K7cZUJfnaLi8e9KFwDO2XWron13t7 Dg8AMfEuU60WseRNLZkhuNOtwSBrWV2TOvnab3/pXpkB7cs27LSyukJgWYSvu9BeD8p3NtqXRS5vCt60mY6AfeDnF ntvD0IWl kmp7vb8nswp1iBLYEga21sGNaj2i9z6U6y5K6rnmeJ0kXdHfT7 JlPG4aOUlgUUAk63UWhK3q6QJKGlzyzSu08URy6uqupgj1huoI LF54MBLbQwo5pvS9ap2lCVWIzeiSb3sWhIUkSUI4LoZtTEqZma ELXNZRvBigpy6WfonN15vcnpP7nGPZb7x9D3MLYITDTam4Vs2N aj2i9NwuMIku 7xuGXuYgmKbaTJplSd8v3atMCsebn0iB65IqDE1E3o0Cm84pS0 Oc1hmaOLvCfD47AOXFNZ5STX3spiV YIxAnwhgWj9v4 4Tx96ql7FeWX7sjW7ZtuX7fuKQXla4LN8wNJSDoOhO7klHnodk uGdoAuK0ztDEmRVm11xx6OqucG6LjKQrXVXBhTECk4HATGsLHM Dwar1rw7qiyFFw0TiwkSyLiJuTCecmCSCyyPMVy2r0gBvrLcdh MRD0BuBO6wxNzC6z YGEP4iEuZVB2DMmYx5jt9iqhDYEvEvTOtdW2BM05BEbp1DCc9z UVxfkvLphCTylZ6Ikd46mkUFtMxxVD4WdrrTJA13WmdoYmaZ3b 8wAFpncRiNkVHinipKHZGXPdfZ7BjWmNa7pvWM4UKWBdM0E67s NmEYOtwU0210JHTnGbjTOkMTp5fYQwsDMMLgoHcjwi/4MbYKgU02sk87rXfv2ngh8mfC4K7rCAKTXHaVAKYYyA6nIkeB6 9DbRC8Pd1pnaOLkEntscQCrdcXQWjy9VTMK94sR2HIEZlrNM 3NM7JPO63XqSY6YzI0EXscZo9lShJvWb0v2IEppsydBv1sEXgR PYp9WuqzmH5ZuNM6QxMnFrlTSwOgdd0yG1xny6cWfgCMwBYisJ kL9mmn9a5cG1m2Y1lmoTXccZyuLOBpemVoQlVl3/ctq0ACrPBDkqmevox9FpF OpQprSetHV/gTg C1i3HXmGILZxRuGuMwCggsGnMPtW0jm6Boek2OHZkGHrhwlwSe du2EkLsIUHThCTxtmV5nqsqcqK/CI9Kmu/I8zyOQ4qVCndaZ2ji2AI3s8wukv1u Li t0g3R2Fe4WfACGwhAjNEY3McYzCtVwceStS7OJaExLWwbRtRbj fPxekcnmESLVgAACAASURBVKN1XQ2CwDB0YHOPAyQhHmEtMP2n G0 nM3u/6VsgfXSen11mQVzTfiZDGIbzfX8b nkAXBcjMFUITDWtV1pgRIF1nA1BMBg64s1CnQBZEnsLUJfn0zi nLcui49iO4/i h3joCfLVyfRS6bTO0MSRef7MCtMnrS9QDT8IpmpS4ZfFCEAQmC GGvneKab14tc7zjGlGZnRRuOCiDpjR84rDCbFMJwxDRDGWDMlC LgWBdV03CALbthRF4jkaUlgU2EIbUb5KpdM6QxOH5/izK8watQYZo5W3lpg1x3Mri ECGIEpQWATLOzTS tQw3q0JC/zJ4GYpIMg8DyPphANJsVflDwFMzRB04QgsJqmuK7rea6mqYLA5 mN0oAv5VjqtMzRxqMafq/dL63W2bTo4PvVWamNMCV2O0WsOm9mnl9bh0ajLLC0MTUDOBzmO Y5qGqsiF1DyoTI6jFEWybSu2vxuSxLPM fh2kGfL9F7ptM7QxMGaUFulO3SrnwnT5EnNNPppAdfFCEweAkN l9umldbhhHbJLCVkRR7oCkhCGIYcQRzTDsz1cskxHknjD0BMTD bp2Y6XTOkMTB84Jc6uRzaefSdUWGFlX 2kB18UITB4CGVrfNUfvmh/Ykb0ppXWoBSayjUQhnteXwBnCFcrt12CxrKoKYqjSTMs9X9IUM NFE/jOe52maIggMDVX7qnRaZ2hi3zlhvtEvrVMSx6sDiMUxeRMbv9G UIzDTau6aoz8 Lb602wb/j632tYRK8JxSWq88XArRtoV4m8QLeYVl2r7vw/c2e2ZwSEWaIsIw5DkmZaLR0yaadF3IDkFSbO9ZcbFBMTTRj s6owiMLCQDDicwAhiBDJsntP7x6cHMlCmldbgFpkqIHPiGF yLJjJb/Qj2JqzabYLjSM9zk1oc25EkwTSNyERjWYospfUJKp3WGZrYc1Z caka03o Po6DJpMThmYwRwAgABNLL84TQk8SuOap/oKaU1hPuK0s4jg1Zbsc jgUnOdMx6mL9rwot9bLee8svsw7RdFsQWF1XPc91XTc20bDxnn CFK87uM LyWr 0LusqIQzMaNj/iMctYAS2FoFdc3RC4oWJ/h9vGmm90rB Pm4cX6qsUmbBiGPUBYCUJZGz7awoWG98jVhLUSRNU GFeY5WFdlxbBRa3zUrrcS03o/rumYZTY7sf6TiFjACE4NAIZsnmf2bYqaR1istMAxNWBYsHKiuq 7IsFhJoEFzYa7Usc Cnkwo7BZmWZSHKjSEGyP5uVqq3oh8l/dC66dh1djAbQRMzq/GLTDkCcDvMS7vtPvdOMa0XGyJM04BooEN8HNMx6nieGdLppCJy L1U1yBeOHTH5fH4m59sZaTWm9X58HB3PXaL7Oqc65RSAX3/yEKi0w/S5YJ86WkexwDA0YRg6RLcLckY/ilGXCokXBT8a8ukkwMWQR8qQNU0TUdhrBM/6b2akBnF C6HnqRUEwQI1dBGMnh8PV8QIbAkCicmlLNHP3unU0Tr8cGnCgI auSVLpehbi46hpiiJLSTscS23O6SRNU9P9Jg QT/A8g2j0//q03CTOn1/tzcdxgWyEYWi7jqgrHZFdZvo6sLol0w93ihEYBgKVdpgdh3s/xDd1tI5iWGdoQtdUqFkc DgWGHDy9pnNOZ3kui7EdSdN7qoqw6OnJoW/Oi2vtc/Tet7HcYFqLDFrdYZocJ0WT3dElpZ5VhEFTZZ1VTMNw7Zs1wnDc IVpkSIr6arruY7nSrpKiuwKpngct3qKEai0w7y02 55wT5dtI5ogYmFX5SyTVHAemU jqLAmqaRMCNDE5twOoljKc/z0p1C0pHvZrmTT7riF6fkVqeY1lVT94PA8VzLsXXLVAxN1BVOl WiZJyWOEOgmT66y7Qbb8Xw/vdhZZlodkRV1xXFd1/dkQ6Mkro5jJ00xwaWHx1Sly8wv6fzeAMG0XrDiBlHoFOWCLSVN diBd5uPIc7TrOpnywz6dJMuirmuZTgsvYz1ev/BWPvPzk0q7c/7UVW/OMCtMy3KdsqG5RK 1BUbQFMt11njsBIlVHqcLgUo7zEu77d72TqeL1hEtMBGtKxWWi jIfx7Trepooh3o6KfJsEUt3AtKPAaTB0jmQ9GcnlQ7ZF603uI5 um2W0nuSTIqsYWnKJExiBKUEgvTAvS/fg7DhdtA6hsMwtRZY0Tclkpi8VWSwrUCgTNrzTSTQVe7aUCJOl nxl4 ED3DDb8dvn0hEKu03pv8rwtgVIMvXKKzpGrfuAvM9gPcrqWq5U DY ILoCzYe9g7nSJaRzesMzQRmzVgJzZjG7qZIU1wWSY8MKTTSYLA Inq2nFemZAtkDwpf5JMTKpUKCdLDHANmdJSKnCpxiohSEpfBCE wMAigbpz3snU4RrSO6NgKCkyQBbq2G DhmXNcTxhzS6SR0zxaBZxwna/dPHi f Pi4mg7A1MNcomWeU5HIeplpeb4/11ntoRdcBSMwvgiU2V4y V294BTROrphnaEJSeQMQ88zXSqn1Mcx47qeqhKdchr46SR0z5Z 4wwBmWUo/KkMTHx3f8HulB9d1ThFpmUcckYqpd0QWsTAuhhGYDARQ7DDd7p 1OC613ZYFhaCLvp5ihPIYmPM/juAKDBsSAM/DTSRzbCQJUzxb02EngZTO0nnddr5xX4BRSZTFQYI2nDBtHPcXm 9elCANEO05VQzLTQemXcjAxrCwJjWcWm86RkmY8j/Bz/YE8noXu2sEwnCIK0USV5kbJE/7SuGHpL6EI/2nHdtsggfgZwMYzAZCCQsbeUXaI7O04LrXdlgWFoQohO2FtlfA fyda1YxzE2u5easAd7OskwdETPFknkM ek4G XN8L04LquW2aD66DPPcO2/CDAQr7oiOGSE4AAoh0Gfe90Kmi9WwsMQxNxQIwKtfRyH8d2HOF 6g7NgmkMHeDopcqZE82wxdE2WhfRjVKYzq/UeaN1ynK5EAkzHpiU DMO2wNRZYpFu4k3UCaAt/ApwBNDtMIjOjpjWi8kXvuIGhAixv8dse/7YfSF7DuR0UuGJ1sLuYtdGj0P7ACQtZGi9B9d1z/e6UuUNw3CebKyybdXUTcd2fS8MQ9fzTMdSTV3QFE4RJU1t8dQq 217Cfu5YcmBSECgzvOTzK4Vijq62poLWu7XAREIu7Ia4oAnTpR MQH8dK75SBnE6KwyEhebZ09QFI3jFD6z2orsc0jeqzuMy07JzS wBy5ukg362y7xVPgMKrjuoqpG7blep6gyYtUE74UwncxAqOPAL od5qXd9o7DauHR06OrLdAOpvWy1XrH9yvFs0p9HCOTd0p1PSHK dKL/00k2NIRTui/0D0C6Vp 0vkA1/CBAn1EET1ceSWUVkZHPR2efJxucKvmBj0Ngo4OMS44sAvmFOTw nQ 7pD8Pk03oPhnUgu4jiOOh5XqFpW1UVqFJYm2MpWZF836fWT en RQlzTJdhENC/wCku87Telc jkvMmuO56LOIkQW26qCpYmgEvyHgdZ0lwjCcI1F/E6A/Dy6JEdhMBNK8DCf09N0dh9W8aX7yab2rw6UpUgOkWbyWT4rFIU 8LIlnLsqDr0VkelunwPC2JvKJIuq7ZluV5sb3YdS3L9DwPElov 6aUwIQpcpQsmqNjVByDdV5 0XmfbptOFH3pE2cIGys5PKtst2IP1fH RxqaY6XL3zo Ncc/Js3OavrtKY1ovJm6aitaAdEoRJc13STr2cQTuJW2OJQWBkWVBV RXbtoLAD4LA933HsaPDpaosSYIgsCxLJs7jWomLZNI JKFH4ZCKw2RnaokiZ5oVPviZKuAyT tdOcM0eVIzDfTJVkjZ6erzcaylWifLX7br4LhLaaBwekwR6Iq7 IYUxrRfTOhMH/GTo87K0adZjmTbP0aLIKYpk25bnuZ7nhmHoea5lWbquKYoky2J kn2EKqqebkiTBQNNJT9cCO7qu63IclckvvNQj10akD0Cmep 03hYYWUcN3DVPrlbaUups23Ls/Iw17O684/Mt4ByMwCgg0JsdJs/vmNZLaR3o68qyJEmCqsqGoTuO7fvRGtxxHNM0NE3RNdW27dhxM MvgYRhmWDJ/yUfaWxXe8flagsD6vocYufS8yAGL9AHI9JWn9a58HCmJ4zUZcb bUWaKQstPV2yIjFX0nDNtaZdvpkjiNERhHBAZlh8G0XkrrnufJ ihSGoWmZiiJJIs/zDLtR1hzi3u77HsfCXNdjDi31pckwbPrSMAyxys0mKS8KHPxsV FIyn8jTelc jowiJF4rlXMMZWkPgurlm/J8D9vW87DgnHFEIL/07iEH03oprfu 70Ybm5YocHnKW8 JeZkuaMS2bQEhZCi6LWW9R0LTKuKsJiWBcHwQBChPkq4F0n3SO q/JlMQhTi0UrUfV1Nf4rMLMPNkIwi7cKBGfBxfDCGwJAgOxw2BaL 2BkQGqe5/EcresaXHSlzMcxdl2vDkSHWCzNuZWRm9KFTdPUda1bNRgIraPL 88q6Sgioul2qqbdylJ2ZV47n5k WFh5iylTElxiBcUFgIHYYTOultO66DsdSEPF0wH2xjyObZlKQV lUZ6rp vt/KoKn5liWRr9KCP994Eg/Pdd0ePCkLV voruuaaTSRA08XUnZ6Ki5QzaDocNNal/426TZxGiMwggj0z yY1itoXVEkVZXz3JrkxLGqCyS0KuMrgRbgKr5JL lEFOXOqlCXBOX5SIcy2pKVJAHRyT3dUZ 0bjp2nSVQpk0ZZafrrrLtQjV2UmRFTUmXxGmMwLgj0KcpBtN6B a1DYmIABiwziaAotq Lz1SqFGx4SIgWTZqUGZpIx8NzHKfbBXshraO7rlcuwJO5V0bZS YEaWY/oWy gb7abAEzpBnEaIzDKCOw4rPawWQqqYFrfwJhpWgRGmEqLhyhwh ZZrdPIFnpTpruFplqkQ/k2qp8MhSSKPuMZPqvdJ634QLFANlJlTRtnpurwqUVJB/DxZV9vIFvx0gziNERhxBHpmdkzrFbQuCCzcfMFxlOsWBs0odZJ JeBMkehBsCYKg8qxTXjPAcWyoV08WikJaR3RdB8eLEKcNr8qFl J2urlnFlnrDtrqK1JFuE6cxAqOMwLFVorcFO6b1LJclnAtW63G YJPiJoVL6LnOSSboACQ1ZBiCp6LqurmuRoFh8WkoUOJ5nOJZiI 0/58wej8qIxosgBU3vSDiRBU8THG0NUJ4VRZsIi3fR8D6Vkjazrl lkZEanMOd31sNN6Vk0BEXZcbPQR6G37FNN6Ba2j2FLK6DuygSC 4rvcgISAKrCQJ8XauAvwXbdtyXcf3/TAMgyDwPM/3PV3XEy5maAII3SS8n76VT1NU 5MTxWLuKJNhhWlZjoNSskbWyyg7qb5Ir3m n1wmia5 EyS1cAIjMEYI9MDsmNYraJ1lO77v51kvnVPm4xgHGq12XUcJsJ fuDp6mI9nIdhwGxOPYrLpkdPoJTUigQ7Y/LaF1FNf1BtfRLRNl8iyVUHa6brOkNey0nkYJpycVgW4dYzCtV9 A6Q0c2FjiTxlpaBT6OkSOKAnOOXG82NuNUqUWuFy594HQBjqM8 z03ngLRpmqJQ4GWfL9km25 fLF6to7iut3hKMTSUadbkyMoPACVxQpG8TCQSaXUhEonyPLgMR mAEEehq xTTeilLBkHA8xEDxpoqWSWvNA W Tgiuq4zNOG6Ds/R6Tb7TCuyBATfM 2gCw80CfLLU8XfJBQfxw6yOzmKIpigyYUhkKJeirweR3Ba4kfC CPSDQFemGEzrxbTOMp0wDKVYz9b3fR4qgVvm4xh70SCdG pBQiDD15nLWMqmYFVe6YaftHNikTu UCyGg0LrtMxzVaGOwCgXNYUUWfiIL5PeTcfAg7eA72IExh0BdK 8YTOvFtB55edu249iOE 1DBkFgWZYsi4Uh7sp8HDmEONeARsHmZ0KpfSbyro1Jg5X mknJr07LDYJMLtMJFB/HMrXF/NRC8VD0fb8wFLWEndZJ7AYzLQigL9gxrRfTum1H0uphGK6fzGy LAqfrmu/7tm0rirRx/V7m4wiM5sVdpImyBwmBdPVMWorCIRmZTHDJscU293zhQqf1pFi enTM5oq50qtbgoEp8agkWsm6JXnO9Yl9JHQfQwLQ TQggLtgxrWc5l do27LAUfv0Kc2E0QSB1TTV81zXdVRVBi6MZT6OZflJayDBsqTv dychkGkhfWlE4ZAKtnDjMmAHGLZVwNDEaov8 nSxYR10lCHx/KVi6C0hK6KbL4YSxjoS8yrZF3U9d4leyzeLczACE4kAoksMpvU NtK5EcTOCJERcLK9Y7A3C0ATPM6oqO47jxf8K9Xtt2 IRXNcZmogkBKrDbmx42jSVp9NxU8X2k3h7ttrH8fgCd3Kx2LAO Oqr0cSyzhmcm2xpPqaaeycxc0jLPq1Ims0bWQWjTuc5q/hbOwQhMJAKI504xrZ8nyljs0DJNI209F6KgdIXCABvolWMp0zR 839d1NUPNsVx7tes6QxOx83vWzTxN1ojpyme2LHPdsrThLdLtf 3FKbhKw0E6VPo6V8abBrIt2VlURPgOlEnvOMtNyPBdeF9/FCEwYAigLdkzrEbWpqhwEQeFyG77yTVMhy7RVVQnD0LYsVVVEg eNYEtl1PYp5hBCetA2OGnEsxfOMIDCiyEkSL8si GGh66rjOIZRbFgHT6tpavJzJP386TTcsM7QRKUzTHxwtNo8grL naZaEKkVxeJ wKY1fByOAsnE67bQOgkQbhl4WdzQ KVpmp86udoHSgCCwqiKD9TuInKfIYmyCTyzaBeys65pt2 fZWVMNQzdNI7by267rAm cRBjAdR3bti3LNE3D0DVNU6OoHbIky4JtW0rsl5mm6XRalkVNU 9M5mfTKGvnNjJTJzF/CJ1gYhnNktXnEQtBkD0qUIDsiK2Gn9WnaMIQPuem5Cz a9A9fS9NL63S0SFd835ckmJFEklBDETE0IeZcUERJcF1X01THs cMwhLAz Awk7CyJvCiwPM/yHJ1oeNFU9kOSZ1vTNODnSCu9bo7O86eXCnzeM31B7DALVNMPC iRcMhNvrlMPw3CehIn3LjNrZZYW7LSewRNfTgkCkAX74 8vXnH9nVNK64LARsYKXWMZmAWZoQkOQRMm4bt8BDugzbJeoA0U FumikNbrKgXJir6awdeb3VCycpO2Urzss5NKq10BC9wOE/m3uNVW7xWmZbsVcmAtoXRPVdLVjogaK3VKJjx zSlBoNDT8cGX9/9/P7n8nU8/nEJab2ua4nmeJMI8PdKM6Tg2ojdLXtuLppAcCkF3A5EQcBxno0/9BtKPO6rwpq80rCfglE2hVbZt2lbZ3SSfEOhK3RjIaVXdMrHSe gImTkwVAsdWiYwp5o4ndl55w 1fH9lXI vTReuCwAKl8soYFAlzZULHpfPz6egDkJN2QXRdZ2gi/1XId1GZg9Kd53kcW wBudSkvputNqyDxyizwyCGjWYVgVEE GyEBD9CD6oH7wLfxQiMKQLAK aFb5Sb73/uroceO7FyDrzI9NB6W9ejM0RdhQcC5BWFhI4DPVdSaiQKxmStK OjBjxRF0rRSN/nK3kEBlMBJZUrCDE0cnuNnlqsN66CvMn YtsBIulo5VRRDI3gaXizaU2UK4lzPkauIu7Lw9vFdjMBYI/DpoWNX3XTXs69sS7/FVNC6KHCe58XuH1nOReFKOhZxrLTCbzSjXzB9GLpW6DqZ7xpds CVfdz2nwsACiul6qY/jpyeUdgcVpTJaj0QZiw4QpUdejaxX rbPdSLuni/yqKkzhOXYmQbxJUZgqhB4/8tPfvzTK3Z8/PvMW084rS9QDVVXXdepPICzTosX6DidY5qGJMIcZhiaKCPl/D5quuV0moskBCpCdqTL59Ms0y5sgY73fnk 8nOPZYTVsp8F6IZ10HtmPIHLyLoiV1hXwBnRwupJJmRPFfEHQd IUTmAEJgyBF9947eobbvny0J78e00yrRMC7XqerMoofoF5ikzn yLKg61o6J5 O/cELTChduUj6vl/mQZ/vMZ8T/WLwPSEOiaeqsmFotmV5nhv7Vnq2bcde7oosi4WbwIsNavcZMd8 sJKfQvF4mj54ef3W2bVYttyF7qugKkelOcRojMAEIzLYWH3rii XsefuTY0tnC15lMWl kmpKuWo7d5Dpr1BqElRBvoUhxlcVIArIEiB1BrN4oLUiSEGsIm 1EA6yh8Nc/zbCyHgGRXOVgTzqx0J2BQaIeRdY0QKozmbbHa/g7ZU9UsY40nC8c0zsQITDACu08dvvGOO5/e9hLkHSeQ1tsC4/k ux7DYSC0jhLAqMxhvMzmXkjTaBICxZYihiYURVZVmPJiYadJ5s fH1Q6J9AFIqjB0wX6mZhnNKs5FWW5He6oln4fKqNaQQY9vYQTG FIGdX3126c9 8eaHO HPP1G0vkg3ZUMzbSvtzjwoWo8IV4F5/pVJMNIUEUdDRaLLriw2aW4F6VhJuLvldrqRbg3roG7eDmMWSQL MdVbnydV5srFANRappmaZHZFdYtaWmdYK06ozRJ1tr7LtBtdpc p0mT67xlOt5lMS1BaYtMh2RJSWWkjhK5llFRDnFCh/6 C5GYLwQeOmtN668/qYvDuyufOzJofWOyPpBkN pGxStx26OpRHsWKZTuFcJiM/zqrVwQUmeo1E0I9NcnEp3cfQpVev82n Qe89251hHTSSt8MEQeB6nud7PlBLCIJw/V8QBH4Q3QjD0PU8x3Nt17Ecx3Js07YM29ItU7MMzTRU0wjDUDE 0SVclXRE1RdBkXpU5VZJ1FeUUa XoxwUwAmOBwNn28sNPPXXXrx46ujCL8sCTQOtLzJpiaIZtrrLt/DsPitbB4f6y/Uy4Ab0bi3nv1IweOjXP6QxNHDgnnKv3uNJPwz4fe5QvUc1Fem2 Rai5QjXmyMUeuznUuBCdbjERjgnStfLrOlrowkhInakq Cs7BCEweAntPH735zruf u2L6K829rROSlwQhrTMl73z4GidUBXZssxCTpQkmKtMrLqOKgM Zn/6nC3uBZ2qaoiq9G9Y/Oq5SFJKliKHbLNPhWErgGTHyuuF5WWAVUdBkOfq WpWU3eA6RpW6AMSFkVclyF 8bCTgfIzA2CHw 2 uOzyq974/ftdPfl40/oys YH/krRKcQEhQHSOkMTpmkU7knCtzrRXdfhEgKxp2Ys6st0WJaMVNc 5Ovofa6 7rgsi8MHZv wuimFdkvggiOwnQHDYtqPAI4auiapMyzwpsgRPM4qgW2aCf2GC lNjK5TaniGXcrZp6i6 OqFfYNc7ECIwLAtvefuuKa2/4bN933T7weNN6jaxLulo2 QEWg6V1lul4npdXIICHHJLELtR9dV33PM 2LcexXdfxvNhM7fvBuoU6Mk/7vgeiqTqR8HokvW5ZYRhSxdqQpZ4zCcXXVul955B T7BMO38OIG1ejwMeFcSoSw9NQZMpiUvn5NMQ7rZdZ5lp5avgHI zAZCBwrrPy6DPP3PnAg4fnT/fwRmNP66tsu0yPG8AxWFoHp0nzIZMi8SyuWDwrqsIztl263Zpw K0iIAmfbtsAz60rrJMd2Ym2yNkO3S0R9iUoV9Uwvmct954S51V 4sP0k7yeATS2LUJQVqZF23zCbXSefk047nLjMF8ZWwGkweK5wz SQjsmz126133PPHCCz2/1NjTeo2sq6beEdkyCAZO67F7uLTRyN4OwyAhuHyiK9d1jqU8z8 03As9Bj65X2A6KBaawYpKZuDkaGx1MC/8unu8v0gWUnRReoBpByZ7qMoJKe9IOTmAExguBD7/78qdXXP3a797r57EngdbXeBKi jQMWs8Y2Su9Emm6C9f1rvzcE1aNPdZRlReTWiBBUe3 aT2xw8SU3YQMykW66fkepECNrEMU21t8aWANeJv4LkZgxBF45d 0dP7/6 k/2ftvnc04CrdfIumFbrRKJ1yHROsu0I5nfOBYHiuncdVFd15lYM FLT1LwJO0PHqcve3SIZmjhXZw7UkAzrqR4L7PU1sh5TdkW4uyZ PapYBH7gdkRVL4pTSMo8iDwlvH9/FCIwaAo89 wd9z1wqHaq/webEFonBLrM 2JItA6M7EEQcByJYgCB76lm6NKyTCuW6ILHWU1qxV7zdnLZbWL PWXG 0ZdhHfRYpxqx52KFGwwlVfMyxIVR1BSy3ObW/5TALWAENhmBA2dP3HbPfb95/vlB9TshtF4j65brFO7CDY/WIyO7LFmWJcuirqtwMi0TAkvXYllSFDhVlV3XNU0jOtdqWSh6A H3G3 jfAgPeYo1ag6yykyGLsqcKUZVB2W5N sIJjMCII/Dx7q9/duW1r77/zgCfc3JonZS4wsCYQ6V14GZuGJrjVCyWFUXKO7xzLCWJvKYplm UCn0XTNGNBXSM5WCSJvOu6hqFzHJX BqTTpmkAc1A6EzHdIdsfH6/4JiE2FUX0RjgoZNpW4Xng9LB2fW RLjbQu17prXQLOI0RGH0Etr//zs uvPbj3V8P9lEnh9ZrZN31vDqbFRQcNq2zTNt1I0FzhoYd0QT2d 56j4/Ooqm1bkXBKzNeKIgkCm5Yl0LRIEj1NpoosBUGgaUphFNZ VNrPrDCHBmFYB08LcTZPBm4QBAtUI7nMJxbppu8XG ghHjL5dnAORmCUEfjN88/fds99B86eGPhDThSt0zKf32cbNq0zNMHzTBiGYi58Esu0eZ6RZ dHQNUD9juMYugaiWBQSNCDHwqB0LNPRNCUIAkXeICTJc5Trdu0 QmXwzdp8RF5ulvwOSYogJx3XhB4WWmTX4OYMaWW9wnbKdkjpLV AbfGPgkwQ1iBAaLwKHaqTvue Cx554dbLNJaxNF62Apt7TxDMsm0DrwdzQMPVqMR0aVKMye67pB ENi2reuqJAmiwEIkHjOkCdGQZf78TAAAIABJREFU4TnaNA3XdZ MgfKLAmaaRaQH9clCG9bjHyCFnrij0aDLgWkK1eyIpcYImJ1XS CUKgZUNL5 A0RmC8EPhk77c/v/r6V97dMbzHnihar5F1TpW4jcGRN4fWeY4Ow9BxHNM0fN/TdY1jqcyJ0CAI4IaahIsNQ4f7wACVYMuKTq5Wes0nzeYT7U770 xMFgfryJVFyODb63QAfrJG0wHqEk7KSkJh5TKwpVlYR52MERhy B13737t9fcc2H33051OecNFpfoteCMFygLuy2bQ6tA0ZjaMKyo j3PQhJEd103DB1lCxTE3WaZdvzBKHAkL3yMdObMMnt4riL0dro 8PA1 NyTHTQsHrqyrbYEpvJVk6raZDoSS5AMJoMrq6fI4jREYHQSeeO Efbr373n2zx4f9SJNG6zWyLmpKOpjG5tB6rPpiG7pmlEeyRqf1 yLNF4OAcmr4bBD7EUp8umUl/NystD86wHnv7KMlx08Kxazl2Haq4WSPrfiQtcOHDnG4HxYsmXR 6nMQKjgMDh dN3PvDgo888szkPM4G0vsIQnu/NdVYBgptE6wLruu5GoZgNy d1/YANmRmSTS67OrvE0ITj2DzXy3migRrWCUPXJCk6rVo2doFK1zz U L5IN91yaQE/8BdTP8XKOsL5GIHRQeCzfd9dce0N295 a9MeaQJpvUbWZUMj13VfN4fWdV2LZB2ZUh9Hju34vpcQNzzRTT Sl6DvRm996q935/OTADOsMTQDhSYYmyuwwKwxhuw58cEOkBVDEZOCN47sYgU1G4I3 fv3/Zz6/64JsvNrPfyaT1NZ407PNH2DeB1nmeCYIAHsICWGngbJ7cjU6W8 l3En4MH8UiazSSWmtSeMxu84zMFur2MbUEdhibK7DAofiwQyRc UZYLNnDy4L4wAHIEnf/vizXfevXfmKLzYwO9OJq3XyLrn 0ux9OuwaT0OrOFKseYXhAdR5MCS6t0aVVDUC5LGk8Rik otJnXSQjrBRj9HfJDToYtjXLCKmN72KBzNEGkBFGWCwjZxJkZg kxE4ujB7168eevipp862lze56xpZn1haF3UFxN8ZNq2XhcFLUx 6QaC/zkEmXZJmOaRqWZULsOenyIB0Hpy4OspovnOQsNFAjIiVVIIlMk O7CoawYepnQZlIesinKqaVh8JLqOIER2HIEvjiw 8rrbnrprTe26kkmltZbPKXH6q9DpXVVlRGPAsUHRyvEb MjSx4K 2foNXGvzOTDL cb9H60QHfwdsDdTJDuQvN6FKyuZCGfTACItED8VcAhTOsJVjgx ggi8 eHOS3/2i51ff7aFzzaxtD7XqftBsEg3h0frQIQLcVld6dyiqrLnecAVH YVGN5apCM 0sfB5b5y5VXogMuug8Yx9P29enycbQRjCxzpcWsBynRUcwpTEt D66CDy97aWb7rhz96nD8HE 7LsTS vg6AopskOidXCsFH1jE K0zrGUbVuGoSN IQo5uge1r1p9kCJflmWKwobwTJmxGwU8cuxMZuYSFvmoUw/DEO4cmWkNX2IENg2Bk/XavY88 tATT8y2Fjet07KOJpnWCZ7WTGM4tN52HAf4aBeSbCYT4rQuCGw Yhhm9xkx1lMvEuRClMChzts4M8Iip52XDP2XsMB2RlXS1bCCCf Ii0AHwhD28W38UIDBWB744fvO6W2//hte1D7QW98Umm9XlyNQjDNo10AgidDYHGuqZ1oVEOcVqPw2sMw MswkpHJSUjCX rMCnNkvlg5INKe5ChBYDiWhDeyfjcS cpE6cvQOooUu1QuLbDGk5pZESoPfdzjkhiBQSGw86vPfvzTK97 5INBNdh/O5NM6 BcEtcl2a3zVOnHQFGiiEiVxdIFIE7r0SEmVOosfSSGJjKB9zi2 o8iCbZngvyILQM9dFFjT0Iz4v6RZKx0t/ZxJmuconueOnThpVEV9AlW4SBzYEQVG1xRVlXgu hhkaD365cST8CEbSQvkFPNBFUrieLVY1hHeJr6LERgeAi /89Yvrrvxi4O7h9dFDy1POK23BUY39YSt k8Afd1uibjMaV3gmWibNHXyiGU7PM9IkqBpimma6Vvwh087ovA caVtmbW7u0cefvvG2ux99/Ona3JxlGhzb0VT50ceffm/nBzzPXXTxpaJWHNRJkiJO//4PL7EtJL9JUYzEgXVNee6Fbbv37pekSNAmQ uu54GTBGXDdO689bw4woagycBjtaw6zscIbDICv3n uTvue Dw3OlN7reyuwmn9XmqEYZhP1uRaTLlONL3/R6cVQoj3oGWJZEPw9DQNdu2g8D3fd 2LV3XFFmKJVaKjSTppwLp2HX9/G8IQ1d3793//R9esv31HcdOnNz o7v//CS2tycqoiyzPM8B j 610HeNkC9hZRZFVFMnQ1XteTiiykaZ3nSFURTVPXVJmPY 9xLCkIjCzxuq6Atb mKbqm7N67vzY3J0vRY6dpfZFq kFxwKNkjK4wLYi0ACS6adICTmAENgeBIwuzdz7w4K fHVYcjD7fYsJpvUbWdbNro3OeNEGObVuZyERlJTP5cKf1eHnOC zyT fxAPgaZ9qMgoizpeVGMJI7t2Jb5o8t 8d7OD2zLNAzNtsznXth29/2P2JZpGlqz2Xxv5wfbX9 xUG9Jmq0oYjP Bz4Ax06cBLUSWpck3nHsvfsPvvbmO59/ U0cPtt0Xffk6VlZVnZ 8Mnrb73bIakwDIMgWFxaIdod13UMQ5d1lVclVhGijVBVsuMY4i tMa5FeKwy1QfB0YTRaMMQdz80ESOlz6OPqGIHeEPjy0N6rrr/5pR1v9lZ9E2pNPq1zsX0gz4Pd5ui6ChHdhbdW6bReWF0SOcNAt yCBTcu2KDC1ubnv//ASnudEIRKWkSW 2WzW5uaAZeZHl/3iuRe2PffCtu//8JIDR07ZtvnqGzsuuvjSXz/ zPMvvnzRxZe 9uY7vu fmjnz/R9eAsj6sSeeu/n2e15/690rrrn5ptvvcV3HcZzv//CSm267 9U3dtz9wCMXXXwpz3O2bcU5b0fOjiLHiDwlcYwscKqkGrrl2Lp lWo7j V4Yhp7vW66jW6ZsaIImM7KgmrpsaA2uE1E/1ZzrXHBPniejX12bMB9wFxgBOALvfPbRj35y ftffgovtrV3J5/WCbpVGT 6kFXTmbIsOo6NGNsoXRGkXdftQTg3DntUbPvOd8HQhOd5LLvBf hIv/9scR0mSoMiSZZmvvfnO7z742Pc93/cfe/K51996LwiC199699dPPOtF/9y9 w9edPGljmMfX7etN5vNG2 7W5Ik13WazSYwuNuWCQw7YEv2 z 8BCzzb7zt7u2v7wAW bQRJjPK5zqri1RzhWk1uA7B02TM/rbrGralW6btOp7vx9TvWU5E/ZppeOVqvZnG8SVGYEgIvPDGa9fcdOs3R/cPqf1BNTv5tL5GrVmWWSnFVUiUIBMINHKxTRlSDHJLlkVEjYF0 I92GPXIcR9NUyzJPnpr5/g8vCQI/CGJy9DzHcWzbsm3Ldd21FvH zo9efWPHDbfes 21t23L3P76DsDFYK8V8HVihAHEve/AoVffeBuY6RMqty0T2Hy6pfXC4WtvPEQ6R64u0msrDNHkOpwqW XbFUabCNnEmRmAgCJzrrDz81FN3P/Tw8eWzA2lwqI1MBa1LktCNNWODHyHLkL7vyZKQccpO8295uh0F rY7cWtQgCECkU0PXMufsy6sTsYZ7JHWL8t9xbMsydU2bm1 IjTB83gjz2RdfXXTxpe/t/ODYiZO/euyZDK2nOTqhdZ7nrrjmpnsffHTPvgNJJlitg1U5SHe1Ws P6XlyNQpvvR78JFOAFFlRUzKZ BIjsDkIHDh74ta7733ixRc2p7v e5kKWmeZDnp46AyB2rYVuafENgHf91034k4j4mZVVWRZFkSR43 mGYymW6TB0m dZWRYNXXMcBwStNgxdkUVR4nmeEQVWknhZFl032t6s/N/V2VFFljRNSbZMP/viK9sydV1Jb5neeNvdYCvVtswnn385Q vA A7MLAmDHztx8qKLLw2CwLYtnufSRpgB0nqdIaxyaQFGESoVffu fDLgFjEAegU/3fXf51ddtf d/K2RzZkKWgeRo7uKDgoIl2OpIAjWHVTaLNvhorOXrCRysiyqqqz rqmkasXHDAdQfuyeqkiTExvTSYEmIQaWjs6Oxs2DlB4ChCRAhO joEGzs4XnTxpZ998RXwb7no4kvBlumjjz99xTU3JZk33Ho3MMI kha 45qZHH3/atsyE1oE9feeHn 7eu//G2 5O7C2JV3t tW6ZRsbBsXICtAVGLpcWEDWlI7KVjeACGIHBIvDmhzsvu/zKD779crDNDru1aaF1sIJGIcf1Mm1J4j3PQ7fexAoB5 NIrDdSuh5HtK6oioyu05vI8wIT bETJ9PHkUxTV2SB57nnXtgGNja//O7gR599DWgd MaAfJ7nNE1uNpvA4G5b5p59 998Nd33/8I B40m01QK1mtb399B8gEHxJFjiSIIVum WHNKTAtddXU13gsyXvBNSgPIM4ZOALPvvLyjbf/cvepIwNvedgNTgutsywZBD6NYPcQeEaPTeGmaTiOg374iKZiF0 O6dIWe5nrE Edlx1PTTaXS0QMAdx2OjQ4Qgb1N2zKBeADLtCWRTTI7vEVykYk m2TK1LdOyDFFgObYjiZyqiAJP8xxpxJFao7tmdFJKEjlRZGWZF/goLrbA06oiSiIn8LQiC7LEAyWZrmhdNfWWUErckagAUxr5etiT BLc/bQjMNBceeOw3Dzz22Onm/Di 7TQehxA2YJwdOQaqEiO47iuoygSkAdAJN EWNHVcRGDSschh7rwcYTI/yYPmSSOL3CnlyKJGEDrplGsDxMRt8BaaCoCSePdrtYdz11m1sq mkOd7i3EIw7ICOB8jMCgE9pw cuMddz778rZBNbj57UwRrSuyqOtZ5qJpQorPKwVBoOsqn5JnST zB01QFTzuOg ifrmkKihgvy1wIEArvGtyNvhZCpMeC8j9ScJzjJZEDp0whPqA8 R9u25Th2VyKR6Kv1BaoRBEHZ6AdOMmV3cT5GYIAIfPjdl5f9/Ko3P/jdANvc/KamiNaBokvCdzxPa5rq 37k1R5tSxYYT7r1n0E/TSrLoqYpycNAEkHgr /ZFpE10 bYSEFXkgRVlSMfSiParkT5v9ik9pwVgSYMz1GwXuIGRYHtitzR aT2KsGFbZaN/iV5zPbfsLs7HCAwKgVfff/fyq677dO 3g2pwq9qZIlqP7TC2GDuxOI7tuq6qyFA98Taiv0rCobE4V0XAU lAYSB4mFSGJyBDEMyxLRtIxIq8okq6ppmk6TuR7EwSB67qRu7q uKYqs6xr6Hu9au/PVaRnSdeGt8 TuOuDHTezWWfwVQaf1jsiKeqlb irbNspJf6tmDu53whB48rcv3nr3vQfOnpiA95ouWjcMA8glQoz sCZexkXiWl1yiJFRVVhQJpWReGICmIpWuyLdd5JR4LR/v2dpBEETH6D0XBMZTVVmWRVFgeY7OU2pXRnCaJj4 3kUwkPR7qarsutEjBYHveZ5lmZqmSJKQFixDp3VelWiZL5tOLa gEWFktnI8RQETgxMq5ex5 5OEnnzzXXkGsMuLFpovWeY4GModphipL55m3rGSSH5tWKoiSZT rR0VORD4JAVRXD0G3b8rxY/crzbNuOVBZjy3t80ImOjqQqqGvqxMcxeSR44qNeaR3EzQCNs5F ILwuUhB0n g55nheJxauyqCkNrrNIN HTQLNgETYETeY1HEADezcOBYFvjx249ubbXnj9VfgQHa 700Xr8S6oi6ju0tXKFxBcornInjd5s8DkbeiaZUV6LEEsqQ5UB MIwVBRZEqPTp7HjTYFxn6EJSeK7UY7sznDUM60zdEGUu QTwrGkKLCiqviBb9iW53tBEFiOrRg6p0qkxDV5cplpJfK8kAgb giarpp5WcxyvCYafdpQR N2Xn/7dZT9/59MPR/khe3i2qaN1PYoUgWQnQfAZb3ORyTvSAwAm7zgURkTdscnbASbv qD9JECJncCq9MYvojBgHzOsixl4cRQ9VRqYPWifyMakTWgeJFa oRhOE8GUU7WqAadYZo8TQt84Ima5bhuG4kruC6umUGQSDqim4Z hm0qhqZFCctyHNdzMaf3MKtxFRQEtr395pXX3fTloT0ohcerzN TRuojsgg2cVWiKiIwM0XYlB0RXgMkbSAVEJu9YIiY2eQuSJETq uEzxujvDeohuMyzbnY9jvMUanRJC f/lKbnVRv0GZBqMRNUFNpOZvqxTDdOxV9l22ZSYI1eXmbUmT4p6p A0gGxo4lNTkyFW2vcK04EHyyprF RiBSgQee 7ZX97/4JH5mcqS41hg6mgdWA/Sq Y0E6XTVizyFW9XRibvWN4rcjaPTN4czbGd/JnVrqR0dV2TJCS3mZQuTTVZIx50Am 6 4y41KTSb42ertShrFMNSVfRtVxomWcVcRxnEX7mMULgyPzML 9/8LHnnhujZ 72UaeQ1ol4mVl9ZkcUo3A/KB ANBWiu7qj672gn3JiaKKSbdNPe3iOP7sSRVDq4X86KHZh9TrVo GWeVyXEQYlpHREoXKxnBL48uOfK627a9vboxqvr dXSFaeR1uXouGmFvwrgqUhiBc2ikvBabHEmk0tIAn0vtKsFOIo 3TvJUp5bYE4vVX7ikfDoRCxvAjP51qrHGk5pppAccJM3IAl6tQ/DBt/pE4J1PP/y7y37 u69GOl5dn 8Iqk8jrXMsheiQbppxTM5uFrO2bQkbFQjSVJhOCwJrWzBaTAqj u8PH8rwseiSm2ip9oIZkCEoeJklUGv3rVCM IOohjtSY1gXEwrgYRqArBF54/dVrb77t22MHuqo1poWnkdYZmkAMLtq9nC BvrLmouNOSME0Ks0dCdUyNBG72zvpHEi63iK/m0XyCypsJBY2KN1xBceR/MBfpCr81sHkYWQcK2Mortljyk2Deuyz7eWHn3zynocfObFyblB tjng7U0rrmqaiHAdlWdL3USXUAfHpuoqi4RUXBkK 1XZtno/EWAqJNZ/Z1bZtu9P /CSSNE2 IyDGAPlpAmjdsM0G10GZBjgEEgpKuExXCOw/c LWu 558rcvdlVr3AtPKa2jG0Acx4YwV57s0DdCGZrwfY9jS1e7SePd yhh05TnTj s6XAMH0LqgyaTEocwTFke2I/FqfZAIfLL328uvuu7V999FGX6TVGZKaR24OaI4mKtqF/GJ4kOhQl7 NyHoTMK2IxmvTGbhJbqDDUMTXXnO9EPriiKpauliH9A6JXEC2t F/FhogaZJmHX6XTUDgjQ9 d9nPr/rwu682oa9R62JqaT0ygkMUxhNuFXjGcVBN1WDHEj3ihGHooojk iOK6DqLmAUPH9n1k1fV aD2JnprAlU4AWm9wHd0yUcY9pnUUlHAZFASeeXnbjXfcuef0 MWrQ3m7yjLTS vo26HxcXwkn8X1HUvUeEboPuZdxcfQNHT7PvHpCYUkkY7Fpikb pOHKYoDWF mm7/uVA7FG1uHhTFFawGUwAqcb8/f/ rEHfvObmbWFqUVj8mm9TjXzfMTQROyIgqS7a ga8i5oJK6L6D3J0AS6jzn6B4ChCSByUPjW cxvZqTVFupHK1cdCH4VfxUArdfIuut5lSKOEa2rsCjVUztF8Yu jI7D71OEbbv/ls6 8jF5lIktOPq3XyHqOjM47n7iuw8dBlssKgHxR5NDtKnBpw0xHc CNGurAsC4hHqCJDUBzGL109n15X0xWXCHW gaohk28HIliW0DpcdzeZVxxUdT0phhMYgUIEPvj2i59cfuWbH 4svDtVmVNB62vUWp6PwDl7FUnKPFqTFrZQmBkZbZhq/5Z1iw2S4T5WCUb1ccwrxXNsRxBYcLzWjrVufN zLEvT1OW2PLMMU wqfMckMzqxVSL4ldA6PEpGMt84VaLKg2kkxXACI5BHYPt77/z86us/3fdd/tYU5kwFrZfZYSI3RzR/cEQZGUB26I4o6BGou/Jx5FjKD/yNJO7blhX71AuRvHvqqzO7whyZ5xOa7jYBsQ4ltN4RWak8pl0y 63hVoqTSGElJMZzACGQQeOLFF267594D505m8qf2cipovcwOQ1 NE7OJdvbKOKVJDpLxYcRfJbZGhowdAUROjKSL xVBgxY7CLfGMLAuaplqW5cf/wjDU4y0BQWBZqGv8YoPae1ZEfLV8McgJ2ITW4RGok7kX0zqSh3 tSBSemHIHjy2fvfujhR5566lxnQuLVDeQPOi20XmaHid0cq9eq 6DIyDE0YhiZJ1W0Ciow8F6PwGtVnTYEVm2Xakfi7JGiaYlmm50 WBh2zbWidxBpxvQm 2SXS 7j5QdfLAEMGvhNYXqEYQBJXjlddkCu3gUmVTuMA0IPDN0f3X3H Tri2 8Ng0v29U7TjutS5JgGHpCUpBEZFpBOzqkqgqKMgHoqyyYBgh5K sYGcVWVDUMP1v/Ztq3rmiJL8Uq82ImlrNn8C1JU74GqGZqA2JESWq Rdcd1l5kWfGiin0eFt4PvTgMC73/xyY9 cvm7n300DS/b7TtOC62XmdfRVV9UVVFVpFDRiixqWunZyzSxskw7js6hyrIQc XdByFNTj VrJIm3LFNBewCGJoAZPd0XJN3PiaRYAqF4izhN61HYI56Cj05M 63B88N0EgZd2vHHV9Td/dXhvkoMTaQSmhdbLzOvxUXsk1Rc Om6KdM4oEwQ1ClfNUYJwPly1HnG3CcJVB4HveZ7rurquxiFP XzI04SO0Z3cI9f16Fg/0keIoYk ad22iwFM0zqriIxcIbob0brIpkcnTmME8gj8 tln73zgV0cXZvO3cA5AYIpovcy8jq76AjtuyrQ59jx367rmeV7 M3Q4wnLhuJlw1w7EUUKSJgmmgWYFiH0czYXl4IvNpgRfuk9bLB L/StN4WGNnQ4LNO1KKIpvAy O40I3B47vQd9z3wm cnOV7dQP6 U0TrZXYY9GW4YeiSJIgCr8iSqsi6rlqW6ThOEPhBELiua1mmoW u6pvq F627ufPcDWFVyJZjphb8pH6msMAzto3024KhiS9Oya1OtTtQpo vkskzwK03rKwxhOQ58yIJA1fAy O7UIvDFgd2/uPbGl995a2oRQH/xKaJ1iB0mCHyIQC7HdkSBU1XFdV0QsdpxHFWVZVkQBJbn6IwSZ FeK5904pIOT tU M9FOZhSjA0kagaGJ3WfE5TUkb5yEytOJsrOyaVqfI1fDMJwjVy FDE9M6BJwpv/X2Jx/8 KdX7PzqsynHAfH1p4vWy wwYBmeUBUdxxiKtMAM3fNc3/dN04zWpIoMDlVWagl0cyq1C7L2PI9li11fkocHCYife6YkQxOH 5vhzdVRH 3z1sp8RaVqvkXXLcVYYAjIuJV3piAykAL41nQj8w2vbr7vl9u OH5zO1 /hraeL1svsMJLExxKJrKrKlmUFQeA4jq5rkiSkncoBf6EshNH5l 6EJ9MKWZQklJ/XzbBsHy0Zag59c7D1QddwvEFfIHpVa3Lg2lw2tLcBYW9LVNqZ1 HEkjhcAZYumhJ56495FHT9ZrPbDb1FaZLlovs8PwHBmGoWWZqi pHzuBMlqHWSROsrNuV4YfKnEPW29lgSEGPah2fOUKNKI3 DajV6YO9BqoGb1Qo JWh9TgCtQiZaRGtQ3kfUhffmjwE9s0ev XOe5566beT92rDfqOpo/UO3SrhVhtlIQyWwJWs3ZU8emQCEpFOpSqKhOgRHx12jX9tFL5s JnNljdrVR6DqwsAdHTp7 KjFU6qpQwY0pnUIONN26 M93/zsymtf 93UxasbyB966mi9zLyuKjIKY8aaX2zlqlmPAlmgLqvRT6WiKO4 mlI0eVZXodPoJVA20MDMHazNL9RpZX2ZajutCRq2MV sp wMEqIm/9frv3//pFVd/tGsa49UN5I87dbReZl7nOdp1qzVyY8FCsfJkEDqlgmAaiFrqse Ju9UMCZo884nVUebI XdcjDYaNfRWOziAIFqhG4a0aWZcNjRDosrs4f0oQeHrbSzf98q 69M0en5H2H8ZpTR tl5nWwdZneIE2WvekEULutVD H6BqmWwNpUWBNE mcUVeuk5HssIUq0d4nrcdu8hf6yltgwNg1bWuVbZeNY0zrZchM Sf6p1bn7Hv31g48/PttanJJXHtJrTiOtl9lhgAhinnbTOYDQObbj 346P5OOmdrIZJZddrUG932Yi326CxSPnaR8n7SeEfzKW2DA8IV 7piuGRvB4tV4f0lQf8WZ3nTx0/W13PLf9lRF/zrF4vGmk9TI7jChUB7dLuDIWEig9mcn// y9B3Qj2XUmXHv2HNlr /9X8q7Xli2v17/XtixZmvHM2goOsjyK1ozHY0sjeS1LGk3qnHNk555mk93sZjPnn JpkM2eyGZo5k2BGBgqhCkChUEAhkPwPUD01aIRCAUSoAl8fnj6 vXr1w3/cePjzcd9 9qJqlAxmXE0SnaQ3NsMwJ9mYzQYXfa5o0wip/9j8v2O34E4 OCeVvqy6AhWoMRXGDvw G0WySAVrfler1uq629/YcKGuo87c2QH5QCOxGWmfQw/gLVeHOZU4K1iisjCbkNPu7V2RIB7SYpOu6bk6xMpsJyiK axYTy1lddKIl8UhYrSTluFiqkvpbglIUNpFmf2 N5sBeHv3VBfn8RSC/qmLfkeMtg738HQLXJN ltO5PD M0dNEjHoTl8UjFtHN5vmUIKuSycGcRHINq3Bn1AmF1dSiow1ia aj2G4P04sKBf2UGgapcrYOftLY1a7k8DI4CFq2qJfdPh7zPgdN 6rC C8119dkM9TBO5lZpy7cu2ZAMSrC6fybZfSuj89DJvgdi4zcwTD dMSLth JPtnJAAAgAElEQVQeXEkrJTzyfT5SdpM X3lkBuWa0efWHtEqUVRLeXg3YgYM0xn06Joc25DrUUSNILAr0m nQChkj5rSpZ9DAULyzubm5qpb45CA2Ptl9VgSZfERgfG3 8q3bdx4 5KPwHJd5l9K6Pz0MwsJDltORrxEL6HmRfdg551aXtZ17UK4ZcR wzmXC9Tms0GsyEyWq1bm05Q526guThlOdFwoSbzYTRROJmm81m o3zgbLv bW5uOhx2m81mtZIWi8VsJggCN5mMuBHDML3BgOr1iNPZGer0M2 ww6EjS4uEHxnv1E6RFjCi98wWwELcQ0kChNnxWBJm8Q6BzdODw yTNZpcW8k5wXAgNa9zwPDBjcjvKQrtUomc852d/dDyrqhYfNifteXqtRoIjaYEBxHLNYzHa7bXt72 WnzGwyGQ0GnQ7VuHbinkPWqOUrYvWAZ6BqhVaj1GphFFGjqEav 0xr0KIbpnE6JXd8WZsJksZhJ0mK1Wu12p0O07e1tm91Gmbts Alxp/MfsBS3mKUozIuPDRByJwhUtzb /N09Va2NO2kE1GVAYPfSuj/1esDgdrR/dmYXXexdAmjU8qBUK9T5qlYL61yRTk0mp9t3Kla1zWY1mwnciO n1iCskU2DbHuqLQSyHdxKoWqOWI1qlw HY0MhhvdZA4Fa7zbG5aTQTagwVI0raJS9sQHQmzOeKNAFa3wVm MNllJYdPnOkYGfC5BkBmWBDYvbTuT71Os7b7Rtg9Td8JYg4D7b qPanCvyJD2uM7jVdIZekmvQ4xGA0GYqIhLm5sOK0m6tDd6f7Gq/bnM9WpfrlIpmiZx73z2OVqNYnNry31Rrqolcp0axQ0WK7m9vU2 QFlfoO9RiJd2L0WkTaZaA3XpcM3tiaurlm7fGVufpSQeJSCCwe 2ndn3r9ecxlRrfmlNE6M3FTR4gsadHdINKpS0E1broUZ wOu91usZhxHKNiVRv0bB3OsPf8vsMbSZSZvL81ugyLJQiswXQE adne3rbYrChukKGqVdUnx6dOWkeAEiacFhH piP6 cOC6fNXr9/LSI9 17uwx11N6/70MC4DEibepAwHvR2huJM4S72KS5eiwTCDyzMw6a5LMRoNeh3i 8mfwgl0KjmMefrXc /VIs7 VukNaV6plW1tby7Bfly/uny6RVqHGUNxCbG1t0RRPkBZA6 4oxU26dbB3/5ET VXlcTMijg9kV9O6Pz2MQe MquHBj 6PVIQNZnWNL78xCgRR6fUIbsTMZsJms25tbbmCWZMmZ/jTTb0BZRP8KCiHM1arlbol5C6/z/QOaX0VFjk2Hatqv3eR/H0S3Cnen5GMv7ogP1YIrKolYlQpRPx6 KEFK2 se/fDA3WdrXQOSEQagV1N6/70MJSVi1r9wh7ZnQo/DsrsvPSv9nPnCEU0drvdYNDhuNFll0LpUmy0LsUjCCr7q0NB fCirOzdhfeXbpsyykMNVE2Zq1vttnVN0LQe6SUO2g87AjCmxUm C kNM mWV3xC16YX5x89e6J0cDrsMoEEGBHY7rfvTwzD7BqCDMlNRNdS ukNBGo4Hy72i1kpubm1tbToM/M2GidSlqlQ/LQppk2VvOuCvi6er EswHAO61eucMG6EGqqZo3WKzChmjlTIsRPCKLwjI9WqcJLr7et IzMkrKSnGS0OA6b HnZWu37t27lnh3WrTk/RbkRBSB3U7r/vQwrjhEvi1DtBqlwYA6HA4cxxyuf9vb21tbm1tbW4TZhGE6nU6 LaJVqtZyNhxmaWNlrzINqmfqmoXthSDwT6EIOVE05DCCsfq8aR XQRg8ajhgDF6f1DAzW1j0UycWl5Wd2TOpwklIYXotQOzI6fvpj wMBfEq4vNAfhup/VVWOST6VxRNezPL/joUTdtOHVL07q9vW00YkbMYDRim5sOV2QlT6UNs2G7R78ubwS v0g8SmrUcp xQ72LadRy9s7cp1aRqdUA/nB8dkE7DHBdEwWmLLH5JEea2ZdVIqPFRCle8gsKBKtLU3Mz9 7fy83L7e1/ipOE4mNmb zr/PDAkeLa6kiLBNr3h8Bup3V/6nWNWk6Zhz /4OOyLETdbmk6HHYU1bhOPm3 gqDabFYUUfukQu9M1xErq2AartihFr1O692Idw7LqE8atXxRqB kOKVA17bIRxMHw9zHje/6KWixBYZwkMrOyFGrl PSkUqsqLikWyyVCqej27dv9QwM4SayqJcW11R8eONLY18n3IfN afkDrQn/qdTNBYJhfH402m21rawvHMW8mpXNcgapZka/zliaiYhN1j2rc5PQh41c2WoCgnLmvS1W982zvT7l3QbtsZI6Sw evPyW4WXmVE6APSppbmts52nCRmF eraqpxkugfGmhoahTLpXrCmJqbc/pSwsDc G6GiwtjB7Qu9Kde92fmiGhVFovzsj6OB9CZUHaQ7gzIkKYvrzK UoV8FDKZKl3x u0rjN IHXVKuVLZNM31L0SXdE7QGRgALUdygMiBcWNZAhnAhIEaVOEmU lJY8Gx3GSUKqlGVmZeIkgRh0mVmZd /ezc7JRo16lQHJyMu/df/ vHwtXF2DdkJGANC6UxPqzlN02mdkO6Pr3pDLn60 YFxpytcj3WDABHtfvkFpbCgH8QF716jlIZiu01t1ASx0 QbwYRQR8uoEFWOIgBhV6giM2qevbKwWlxQXl5asiTbSM9I3JCL MpWcXy6XO81JEffzs fTCghhKC7p2RwDQupPW/elh3AkRRdSUf1oqjLVOpyEDBYB2noKaAuzo3dnWvTv3fO80e2c vLkW8Wa9jdRa6Q1pXYyhi1LsvL5DmEQJCRK42onK9M5zshlaOk 8TS2nJ5ZUV2Tg61VX82OpyRmVlRVdnY3ISTBIxpNbhudG763Q8 PlDfW82ikcS8qoHUnrfvTw5hMuBFzqptxHNva2qKi/1Aky8Z4nDZv9 ZlnznB6OJd0ZcYDeHpLtgr4oOldXcNjAAWMnhnjPsPEt8HSPG4 XKWgbFoQk0GikBUWFwlWl2bmZzMyM7r7enCS0BrQJ00NWdlZOE lIUDivsnz/0ROtQ854dWsaqb8AKXwHh3fyA1p/bo5Gk6B7Qq9DrFarzWYzmwlE 4J6mo3xeFAhLzRqOXv DSpOqRHTu wvmS5DUaNumsBVwQSqdtfACGChQqcxEDjvPgNAYAEslLkuGWVm Zz0d7MdJwmDG 4cGunudVI5ZTGK5JDExUa1zbs8ptYzBjKfm5Fy4dmNYMC3Tqw1 mnMrX4LoVP9GvAM5RQwDQ nNa96mHIQh8e3vboPcdEtpm82vaSLEkmx29 7dIUE4f2Yfp0OsRZhc3tAydM5gkmEDVHstUhqqMZpNHJnjkBQI rarHBjK LhSkpKXOL8zhJjE1N5BcU4CShNqI4SWTn5MwLFhCTQYQolqQbl 2/eTk53umOU6JyGj PTkwVFhc2tLZgZ1xG /enzAof4EBLQ nNa99DDGPSIw FwHYp6XjKiSZAK80Y/ kxsb2/5zPeZadAjZjPh85V3JkE4b7R653vnoIjaZrN653vn9AcTqNpDA P8hCOwiTTHxwdjN4xCiMhRE4ZZcDGqpJUwnd1dWdlZMtipW8/Kye7q7XaqZdRwRmamSC7R4vrGvs49B48WVFdSEBktppmF2dLyM sHqUt2T qKSYpwk5PoXLp3uBjA5NUZA689pnbaH0Wrhjy8ZabyJzyPH4bD rUKZiVCQjj1r HoNS2rjcGxj9NeWezxAnz72YRi0fW0bn1pmG417eQwMDlDCc mCzEUZPGNfFG/OCBZwkdIRxVbheWFT4bHS4rbO9sLgIJwmxXJqVnZWRmVlQVDg8 NoKTRFtfz56DRxt6O1fUYqVBqzQ4fX6VVZTPCRYwAi8uKa57Uo 5FDJsnDuyERKUCQEBQOuf0LpUJcUwfcBLRu7UhmF65v01 1v dNw49/YZ0uxVK9SNWa3G788OupfZde34MiubGe tugAWOi1hcEMIqxBUiQkCBjM tzifnpEulIpwkmhsbuofdF4WxUmisrqq nHNczU6YaTcBjR2tJ 7cm1wfoK6cepUu7sYvLGlqamlOScvt2/A6UWgsrpShWrURjQmgwKdCmAhoPWPlTAauZk0kyTJ/rq/iw0VzjgViIpmRo ElSRRlO1FU7UqCO9gLtWKzaM7r0cFooV1qMbhcFB2mV4FXjhHX RarBxZZKXZohwHunyJwHckdDe6nKbV4b//T/IJ8HW7oedpb7bo4qieMBsJ4586drh6nBgbGtDKtam5hYXZxUaZ TyXQqSvGSk5tzP X 4PCQRCFLvHuX4nTBylJeQb7ehMGYlvsIxKuEgNadtK7BdFtbWy oDq42qBzPiRozhXhJ7d7tUs05Pvwjs0YXPR pWqlYLo4har9M6HbsbMZMJt1jMVitpt9spnzYOh51yFOxunemz QY1aLpbDXbOs/Ad4a2AEsBD4hOERTaxrZVpcj5oMOEnUPakrr6xQ67RZOdkjE2N OX7t6pLS8jPLh1TcxUt/QtLS6Mj0/S 3f55cWioqLhDLxuliYlJQ0Njk uzifmpqalp6WX1iwtLZitJjWgOf92IWl3e20LkFgi82KEaY1V1 gfj4NTf/Tnnq/VKLe3t/1FNTKZjCydt1Btuvt5V6vkWo0SRdQ6nTO0KWUnYzYTJEna7bbN Tac/981Nh81mtVgsBGHCcQzD9Ho9okM1iFblrnVxWsTrA39pwbCieZ KVvt4nf5mtJAhv5BMZrmUqDBqnAwBMJ1hdohQsefl5re1tC8uC lAcPCgoL8gsLxibHcZIYnBh7f9 hDalYsLqck5tD0XpGZkbqo9SPKX7xUdqjNdE69YiThNFCiBAl1 4a8q TZvbS DIt1JszusMt1zmt19J87ZbNMm0xGHPfNhh/HUaJ1HQqtRkltsVFU49xl61EM07mKOffam5ubdrvdZrNtbjpcr L1ps9lI0mI2E1RADIMedflzV2k1SquVZD6wpeVn752G5Y0kGi7 3hM1hB3s0d0A4lVYZUaPFBGMI5eal92lfQVFhTl7ug4cPZuZnl VpVUlLSyPgo5fhFrna6gnnS1nr6UkL/7BhVxeXBMVOqlInlklu3bk3NTlNU3j80QJlCKjEtdUmVUwPfhc LsUlqX69R2h11nwrxDKvs0YKf50WdCq4X9WbyYcCPF1K54SVsU UzscTuKmXBGYza59tivqNIbprVbSbCZQRO26/RTgkNNiYeuel2WMJAWsaJny/f3kPnCf56UCWLi9ve2N5y78UHFwyBqjTqPTdrmuF8EYosMNDx4 QDDn3aLpuZnrN64rNfDiylLqo1SpUq7F9TItnJFf8NGDBwuKda kORglMTxhxkujs6SosKjRaTNPzszdu3hTJJEbXESt16CpE5Bwc y4UadfR ppaihEmi83qL8h9CHoYjVpOuILbuXMfldbpEJIkXSoR5yVVf4F P6YpGI4Yb2bpRNJsJNqoVp/MDI8bsQ5gSwOmbdy6wbt0nra qJI7NzV34EeL kFfVEkqBnpCQMDTyzHkKqlXn5edTx6E4SdQ3POns7sJJQrC67H S6uyo4ePxUdlmJABaqMKdX3sWVpZHxUcrupbqmmnLJ2/O0Ny09HScJlMC0Jr0EBRFUPvnRH9tVsbtoXWVAtra2NFgAL4M0 ybJPOMNGW0nv8kG5WtSo5ewv lPfJQaD7xuwHpKwdOQ7v6EZWQrcoE8zmA2NnLRZY7uaQe/ ENATxqm5mcTExJs3bwpWlpxXjbKzZhbmKC3K08F yos6YjIMTY6/ GBxx0tzvtlrtAZjc1NFVWVVTXVBUWFVPms7Czqa4CqBWPAGzNX CJ1aALuF1oVauYk0m0gzmxjKIehhNGqn7y2N2lNtgqIan3TvQb v0o8GgIwgT/cicIAicjX2LRi03GFCzOXCzo87rSIHNMYUqsTd9SFHYZAFXTDn 08VZhCGbBVUZ0TSOl7g0lJSV19nQlJScptarJmam09PT oYGRibGCwgIYUesILDUv9 T5i71Tw2saKeV6FzXq09LTtQZ0ZmEuISHhSWODU/kOy5OTk0Uy548An/GpvZcHyIkmAruC1jVGp/0izDrCQ2h6GOcBplcgOvYX9ykGD8p/AHszG1dEUzPzl4RGLe b169J/Nrg09V9Wjcq9Vo9YYzm2gV9MSCgNqJ6E/Z0oJ/SnFCmL8UlxeNTExVVlXn5ec4YdcL12id1za0tQqnIQBhTMjJv3 bs3K12R6GA9YZQoZY9rHyvUcE3t4 X11ayc7MWVpbz8PMr/l9bgdBQj1akYZACvYoVAnNO6BIVJp/0iHqzLUJrC2Cd8Bs1wOUYPeGmItpORB6W0wV0HrWwkZPmjoXXK qFB6/uDwbt8nrWswnRY4W3czqYrVR1oAC5dVz2 NJiQkZGVnD7vsW4wkMToxVlFVCWtVObk5dU/qaZNEuQaurK3LLC50KV6UmAUfGR trKqk3KzjJFFRWSFROCNmlFdWlFWU63GDymVRE8Mxgq4ZEIhbW l9ROe0XbV72iwxYuL8KQQ/jk5FdThzt3szoL8flFsaHjt5neZYHoRq1nN2VVLbRkdyBotM6E 8b 9xBdCyQihADldrGouLiyuiorOzszK3N2YU6FahLv3nU5e5Gkpa dtSIRaXD 5MDc9M6dUq1RGFHYdkBoI4 jEWEJCglQpowxgSstK6xrqu3q7KU9eGLhtxI3vb3 LJz5pXaHT2B0OFPdhv gPCI/8EPQw1LVP9YuhLbRa5ebmpk9S9pnJkn puuwd bJ0EczGaN2nGYwAFuIWQgZ knPm074Ei1CTQaNHUh6kDDwbnJmfzc3LKy4pfpiaurAsoPfpHX 29C4Kl7t6ehqZGKrO8smJ adHp1aujPScvlzJ0UaGahqbGlvZWFNOhBLakEnl8XsAjpxCIN1 p3HvWYmewX2aMfwobdZrN63A8KKvC0Ri0PanfP0r7F2axGsbUV 4NtFpZI3TgQO0eeP1i02UqhVsIcXlIw0AtSx58rGWsqDFMr/4tDIswcPH7S0tzo37FpldX396voGRuBaPZry4MHAs0GcJGrr6w Sry5RTgfLKisd1tU5md/kYoHyvR1ps0P7OEYgrWnfaL24Htl9kiVoIG3Y6SJ7bTpyykPlE e 72ykcmeye6LvsW9mYzgYPkiWSsHML4tG4UwEK7wxHsAQbLiQDF QkZAhDiD2I1OjD1Mfbi05rRJp/7W5eLjZ8 PTk1JlbLs3BwVol4Vrl25cmVhebGwqHBNtEEVMxDG9Iz0vgFnv KRVtQRcIQ55IqJcMU5oXaiVE6TZZDFvaMJ5z42Zgr3fejvLZRM b78V2gvgaMOhRZrfA7i37uwdLlxEINc8Egd03 rRuXIJF29vbSzD4bc4hA0eKSqhodm0d7VQAUpURHZ6eTMvMGZw Yk lVOEm0tLWUlJZS7J94NzHlQUp6RnpObm5rR9uGRCiD5bDWafsY ZWIC3e0EgXigdW2Q9ovs8QpWD4P40qQ7L0Cx8HVO06tP 3f6rXsiqBDYDofDnz8yqs2JFWR6LbDRuk8zmFW1xO5wsAcWlIw mAtRB6LpY6NSxtDT39g9odE7zRKVBq3IFtCstK61veOLUp3e2J yQkwIh6YWmxs6eLUrhrjLp1jSyaAoO dogAv2ld6rJfNARvv8gStVWV2J1G2aTtdruHx/bNzU2t5oXw1sztsC/v0/bGX N2u43BL7xGLR9Y0C L1f6q0/k aV2oVVhsJEtUQbHoI6AyohpMV1ZTk1NYZDAZS0pLKPNzuV6NmA yoUZ/6KJUKTk3r0yk9DLhtFP3J2nmPfKX1T wX0Rf8L 4cEY8WgtWwu0KM6mkS1KjlAbfJ7oVd5e3M22q6PEtrdKp8QHeP HTOYVBH468cDH pRplPhFsLnK5DJBQT6pkZOXriUmpuzrBLrzUaxXEq7YJTp1VRw 6uR7yavCdQNhLCwukqkUGlwHlOlcmLsQZOAlrX9sv2hYjooyV6 mS0UwaMOG6pv9CmGnnNlkb Oom3bLNZvPY79OvPBIoorZaWcWe1qjlAd097sS6ETYgOhNQv3J OsU4xQm1Hy7t7DpQ9qaUeqWjUTheMN24IZWKDGZfqnEr2mtrH/UMDlM8AnCQ2tOE8pgqBm0CVkBHgGa0/t1 MbriGoFQxCAI7HA53/rXZrCxpmqoVcFtNN44gKpuN7RXWgHGadkLrWqM oAO1kNcoqLgTBHLKSg4eO9U21OfeiFQH4yTR 7QvLT1Nb8IofUtuXu7swpzebJSg8Irah9sf9xZAmssI8InWVQb UeZwYyP9iJOAOShXjETiUPU1TfE2SFm/fMjSVuycQLWy3s73CShA4c5wmNrTuz7pRTxhhPYhdya3d oJi/c6DB5du3hpdmfX UFDOv2rra/Py854O9pdXVtTUPsZJQmHQeBcGOfxCgB 0LtS4/C G234xqKlibxXjjFnh5jOdPU1TlO0MUKcLHKBOo5a7HM6wpXVmv 2BKWNHCItydv7tIJotZCtxtc aKqQAW9s OnbmUkJKVxbDINbgzjMbQyLPa rrJmSngjpEBK3694gGtU/GjueBvxH2nzJBGEbX7Jjqg9sOjKZZxRz mdbZKGGZalymU7dOBw3f4262TNisbj8f8 mzwV9r67vYP9h0urq0OOASlQUvFMsUsOIhXFxAuvhTgNK2LEaX FSmJmrkQxZ6 KsVqttCIloPbDg9bZfw0E5UCGmdbFclZXTH3eRRLAQsfmJrhiy pHPfF5l b4jx5v7u1nKs6QSraolwM0LS7h4UYyjtL6kFCK4wbG5qdBxS9P HUhWDYXo6bAV797kUvztpnV3Mo6CcuTPT oZU1TsfONydT6N16oopL5Z73At599GjC9duDAum436kYIAMCHC R1qWoymq36QnjqkrCIHpMXrG0itFqlNvb21rX5VKSJNmbIWrUc jNhYhnzKCgvvsy0vipW9S 8YG7v8RuCevRJ62tqqd1hj8l0gE5pBIYWJs9duZacnk7ngMSuR YBbtP78kpHdLkO5G3WF5YbdYrGYzYTRaNja2gqK1gnWtI6iWiv J1jk7M60LRGo2DmF8fk5EWoXZCq6YxtIMprGvc8/BowXVlT4nCGTuNgQ4ROtyndrlJD1Kl4x2MtNsLigZjYbNzU2H8 599e3vbZDJ6Rzr1uSN26eIDu9zSqIMLpcRM6/MbmtHlAMGp/ZnByFCV0QyumMaM1gtrKvccPNrQ27mTJQ3qxhMCnKD1VbXEQOC kzSpBYF6Ay/Ls1G63U9eFtBolQeAOh4ON0txkCmBgTn8ZBOUThpnWZ9a0EysB rCr90Tq4YhrDRXsvI NcwtXB YkYygC65hoCsad1WK/d3NriXRhMNqoYo9FgNn8SGFqn01qtVovFwnzp1Gn2jgVWc2vU8 qA8ODLT uRqYPeN/qwbwRXTmHyqR5ZmLl6/eTc1NSa9g065jEAsaX1dLcMtBEFaRDyMqsPm7BTRejoS0KjlGK bf2trCccwjPB69B2dvOaPXI2YzodUoEK0S0apQRK1DNTqdVq/TGvSowaDDML3RaMBxzGQy2mw2gjDRvXgkxpbRuQ2NR6bHoz/rRj1hVIIrptG9i9Qy0LP/yIm8ijIukwuQLVYIxIzW1ZjTE4AaQ2M18p33y0YV4 FIgCJKRKs0Eya73a7XIxQdo8/pGDEYUIvFbLGYqfDTJhNOECazmbBYzCRpsVpJm81mt9sdDsfW1 ta269/W1pZTf 9S FitJEm6DmvNBEGYTCYj9SWBYXqr1Wo0 jVhfCbQCYQBvPL6NINxRTEFV0yjqlgvqat5f9 h q62na9h0EJcIhADWhdqFQRpwS3EBv998wc8O3UZofs /9TptBRH22xWdzq2uv7RdGww6Ax6VK/T6nRaHapBETWihRGtUqtRGAw6s/8NuMdemyRJ oaUxyuns/VF3UogZ v aB1cMY0mNTzIzjp9KaF/ZiyanYK IVAtGldQ0Uyipff7AE37E7mNb/gp9ebUj1yKLWJR6bPR4OBfSxTud1uZ/AP3DevX5cG8B7sb2WDK6b kAlv/vjqfMKt2x lPFiQr4e3ZdBanCEQPVqXIEqLzYpFLJJRrCaG ewU0ao8/PT6JGj3TBetG91z/KUxTE8QuL 3HvnMsfe6Zw0iGexRxf3RnxkMuGIanYXX/uzpoeOns0uLo9Md6IXXCESD1pdgEYob7A4H1zwBhGXmAm7Yfar X3RnTI23E9C4jd7lHvvcjxrqkVqNw0rrab5sBQyP5o3VwxTQsq 4i5kbKGul9 uP9xezNzMfAWIEAhEHFal lcngBMxhVV3DrmZ6BLpzMAp48X3 p1nxVdZM1qD27EDDjOal PICq7ncnXY8uUUQkrfMpDZfqzbgRXTCNNJal5uSfOX ydHI50R6D9uEEggrS opLoCaPVbpNy2BNAWCaSWQ8T1MEmZQHJUrXCXgsf8OJS4wTuz CSonV/1o3gimlYlpDPRiY3BFfvJN5MvjcrWfFZAGQCBHwiEClaV g0jk0HghuWohJu1OfYopbJrIdxqdfZBrvQqOXsD0JxHMPd4nUw 7LUDthkwNJI/MxhwxTRCy6xzdPDIqbMZRYURah80G8cIhJ/W19RSzGyy2Egxooxj4DyGxkCpGrXcqV5HmA4k3auz392zv7hEW cG79 KRDpnWwRVTj5UQlsfK5oZfvLe3qqUxLK2BRnYbAmGmddiAOI/mYhFuNLYzx6yHYe9C3bVbR1naRLrcDPi9YeRO3AG9QgakdX/wgium/pAJOT 9sODYmXNdY4MhtwAq7nIEwkbrGxoZbjETpEWole9CTJn1MBgWh IG5QR8ErTNHnaaZPWA8VWZa92cGA66Yhnepz0iWbyQlX797d0o oCG/LoLVdhUB4aF2p125vb6sMPPYEsPNZpznUO EyRGGrXtfrEYvlE8ExqnEAACAASURBVAdh3q3ROexd NrtNhRhum0UMq2DK6Y7XzlUCz2Tz46fvfAoPy9cDYJ2di0CYaB 1BNeTNpuQh 66wjvrzHqYzU2HVstKvc7eL2NA1Qr9BbC1tUmFaqJzPBLMtO7P utEVxdQBopjufCHVtDe98/6 8sb6nTcFWgAI7IjWV1US3EIYzaY4tklnv0SY9TDs1et6ndZisX jQrs9HV3i8ALEvXBUD3EXSqOXMtO7PDAZcMWW/PBhKZpUUHz55pn24n6EMeAUQYI9A6LQu0iqsdhvv/KSzhyaEkj7Jl8p0XfT36xfXvWJAG3O6sPOrQh Y1hGtym5nUgGpVIqmSb/XmvxxugAWgiumISwS9yrz8rXb91OufHRnfG3BPR kAQI7QSBEWqeU6XHpDGAnaDLoYVBEzcytNFm7aJ1VhFKLxazXB whp9HFsPKYG5Upl27RvWvd3C4lCSaRVWEAU01A9rT dGT114fLDnOydLDlQFyDgjUAotI7gBtJu42PsC /xhzeHWQ zubnJRr2OohqrlYmF6S8AJ63rtPSjv4TBEMC0RiJXds5g3tUZD GAo3MAV05DXT11X63t7DpbWPw65BVARIOAPgaBpXW8yAmW6PzQ FsNCbHOkci8XMRmeiY03rAc0Wqa4D hgQyuCeOU/794CcLoCF4Iopw0pgeJVbUXrg2MnWwV6GMuAVQCBkBIKjdTWGE lZLyJ3thooMehiWfnRRRG2zWekvA4aE1WrVoQEi1WnUcpcdJFN w1DWJ6unCCwWUahmDSp2eR3DFlIaCfSIx9eGlm7dGl2fZVwElA QJBIRAErctRtd3hWNNIg pgtxVm0MOwVK zp/XNTQeiVTLwPvUqoK5mWaQeXHzBxyQbThfAQnDFNKjlPTg/cTbhyv3MzKBqgcIAgWARYEvrQq18a2tLspvcvAQLJV2egWc3Nz cDEjGCqGw2Jie6H7evcAaD9e9C/eNicpvNiiJMcUoXhJqRpU8salhyOrhiSs84m0RDb8eH 48UPa5mUxiUAQjsBAFWtL6ikpA2K4guzxJopVpGU6pHgo16PaA 9ItUmooUdDiazRbpr11Et06Z dl07vvLcoobh5pH38MEVU29MfOYUVFfsPXys6WmXz7cgEyAQXg RY0TpuIRCjPrwdx3Frqyqxv9DVbNTriBZmYwqp02mtJBuDmcCb qlVZGrVSetsjkndJ86x6VhVA6Wc0B0T73Ryetr5a9efLU55vwI 5AIFIIBCY1lHcgJlNkeg7jtv0x wu9XoABYvWuQ130HttfwmW/nvZtDa gsyua4PldHDFNOACHhZMn792PSk9LWBJUAAgEEYEAtA6bEAsNu syHLfx6sIIpXdTqyqxNykHVK9rtaqtrS3ciBkMKIpqtFrYpwI9 oAt1qms2VvDDS iCUMNepU6NFFwx9Z5x95zm/u69h4/lV1W4Z4I0QCAKCDDRuhSFN7c2NzSyKMgRr114b9td6nWmq6GIV rW56cBxzGwmrFbS4XBsb2/b7XaStBCEyWg0GPROumcZIpWNm9/BRd24UBHsFIArpgyIFdVWf7j/yJOeDoYy4BVAIEII KX1dY3Msbkpi/cwpBGC1aNZd2N2I6ZnDlXq6zqSAtGqdDothuk pnvr1tbW1vaW3W5z0b1zc6/XIyii1mpeOB11lTcxu2/snNeNi4L 8gZXTD1mmX68n5V5NuHKwNwEnQMSAIFoIgDNyiTe/S3BIrOV3OX 071h2UkOvW13maUzqddZOua12 2IVoUgKr2T7vUmk9FiMdts1s3Nza2tLZvNZrGYTSaj3W6ncjY3 N61W0mwmXN8ALvWO6wtAqpI2z6KTkqBPPsEVU /1MLoye nmrcTUh4vKDe 3IAcgEB0EfNM6RuA6ExYdCXZPLzSzb21teeyp3VXwAcNJa9Ryt Vq vb2tUSvcK9JprUaBImq9DjFiepvNRhBOz5GIVqlDNQYDSu33qS Azc1Ni5WE9aTKYFDqNWJEyd55Orhi6rF0W4f6Dhw7mVte6pEPH gECUUbAqYTx2LBrjXrcYo6yHLunO6FKQhAmHPfhWovi5YAuXCi O3tzcpHmcIWElSZ0fd2BKtWxDLRVpFdNiXG3QGwjcbCUdm46tr S3SZjWaTYhRr9RrJYhyzZcVI7hi6r5oS5/UvrfnYF1nq3smSAMEYoKAk9bn5J8Yuij1GqvdtqryoZmJiXxx2 alI44xr4W/D7go8/YKHFm/WRlG2fmMYDG9o05faCWxBKaKhXlFJhFqFXKdWY6ieMBKkxe6gu N5mtBAIboANiASFcYtZisJ0rd2ceJibc rC5afTo7sZBDB27iDwwpGpGFFub28Dj7tRmB4UxzA/G3az2WQwfHKV35vTNWo5y3inWo1ya2vLZws0pwtgYc14YIXbik os1MhlqIvrTUaCNNscdqFmN4Yjd18eE sLVz66c/t yrxszT0fpAECMUTgOa3PK0SraonNYZfrNDGUZvd0vaqWbG9vCz Vy7/uobNztGjGDyeQ78IU7ibuManw4g/TwEMCG1nfP1LAfacdI/ GTZ7JKitlXASUBAlFA4JPdOkGaNZguCl2CLigEEKNeZ8Loc1Sa jgN65tKo5SYTjmEBFDUatdznTVTv26Tcp/V5hWgx1CBEEVpvFU3177y/r6atKULtg2YBAiEj8JzW9SajgTCG3AqoGAICKyrJ1tbWuuu2l7 s7X4fD4RFESamSefyZLQSq03pkej9iOGbA9FS VCWl/rxF5T6te5zqew8hyjlpBfnHz17omXgW5X5BdwABNgg4aZ0OjsG 1Dw bAfC6jAbT6QnjMvzJcaUAFm5tba2oPjnE9jlAi80q1AbWaxstB JsLZYDWfYLsM3NatHT9btKNpOQZ8bLPAiATIBBzBCCP4BiA2aM 5JUuwSGfCrHa7TKei l2GxVvbWwFlcGxusrFWstptbHw/AFoPCDhVoHt86NiZ8 mFBSzLg2IAgZggAIHgGDHB3b1TKaqy2m16k3FFJVlVS wOh/tb7/SKSry1FZj6KQ LSy/ FPBujaUljM KUcvkwm6jurXxF /trWxuiNqoQUcAgdAQgMS Ah65WzGH1i6oFRQCS7AIxQ12h0OD6UiblbnuhkZmtduYywhgIc tii0rh44nABo4Bu4togZjTemZx4ZFTZztHByM6TNA4QCAsCHxi CePe3KxMEvMPkrs8uyQtQWCr3R5wty5FYROLa8AyVG00EwGhm1 eI6ycNAYvFtsC84oXjh2gKMyddvXXv3tU7iZMbi9HsF/QFEAgZAd 0TnkUAMweMqwhV1xVSza3Npmrw3qtzhTYbEmNoWxiWs3IJA3TI PSV7whHfVMjJ89fTM3LZZ4R8BYgwCkE/NI6YPZYzZPZSjKHAtca9WoMDSiegcCV sCXy6ak0qYZrt9XiMluvbaj5d0PD5Q31AWEGhQACHAKASZap5g d6NmjPGEaTIfgTFoRA4ErWFwGtlhJNn4gJsSy1rnAXxJRBsGju j/cMwpKzl0/FT7s6cekoBHgAD3EQhA6wJYuOjmBIr744kDCUVaBfOpKWG1 Dzo9hj75tbmCguXbaNCefuC1qMu1x6jSeuLio07Dx4k3Lo9vjr PNRyAPAABNggEpnUXs/vWPLLpAJQJAQG7w0HdPvVZ1 awr2kCRL1wBhrdDGAoSTU vKHoWgysq/EpSdQyo0brA7Pjpy8lPMjOitrQQEcAgbAjwIrWvX2yh10O0KA7 AnqTUWVA3HPoNEtrdAkCE6SFrsWQGFxT9iypGQpw4VV0aL2 u/39fYdK6mq4MGQgA0AgZATY0jpg9pAhDqGiDFX5M2F0bsMd9oBt qgwIy/hW/atw3/LzO64Bm41VgSjQesdI//4jJ1oGemI1RtAvQCBcCARB64DZwwV6wHaWYfH29vYy7MMzjBhR mq2Bt E6E Zvv /Re9 yamCV69EwomAJM742v fgUQ9wwCNAgI8IBEfri0rPCHl8HDMvZMYtZhnqQzei0GkMBB5w CCaSbeiiboFmaF0ZsMHdUGDfkeOjy7O7YaRgjPGNQHC0LoCFwN 4xOgtCZUD0vu4cqTFUawx8e8jO4liVGkjnonZ4QxGdQYXcSxR2 6wJYePnmrab 7pCFBBUBAhxBIGhap ReiN1lbo4AF2kx1jVSn14EdCYM1gewR6Q8ubOUsG0eGRMF9vHL srUIFZuV dBHhb2vh7k5BdWVYW8WNAgQiDICIdJ6FI6wogwEB7sjbVbv 0RsAkOLtApLIH9h9Hhb5tAJsYx 5GBiXiGOzjaivLH 7qNUDiIARAIIBIUAoHXumuQjuB7BDR4G7KQtsAt1hU6DsdC/UwulaUY3LZUEtWiiXDhqe4iuscEzlxKiPDrQHUAg7AiESOvAKi bsM Hd4KpaguD6zc1No9kkRZ8bq7CJnaQ16tmHpX0ypZ VR0PF4T1AljlRo/UZ8fK7ew6wlAoUAwhwFgFA69zdrVOLZgkWwXqtxWa12Kxqg25z 07d/xyVYJNerMYvJZLU4Nh1mq0WuV7OJoVE3aYjOgWTIn4Go0boAFh 4 eWZwfiJkUUFFgAAXEAid1sGGPcrzJ3G5Wd/e3jZZzGoMFSPKJeXz7yQhIjcSeG5e7ts/fvuVV1955dVX3v7x27l5uUYCFyIBjkMfj3M9hkZ0FOvUbF5LvF vf3RblmQXdAQTCi8COaH3xY1oJr0ygNQYEVlQSKapCcIPFSm5t b5ksZtRk2NjYePOtN196 SWPvzffenNjY4OZ2bkfyJQBjbC/yigqyC4rCXuzoEGAQDQR2BGtAy9g0Zwq775WVBIZqiIsZprTX3/j9STXv9ffeJ2i DffetNI4AzaGO7TejR1RDVtTbfu3feGGuQABHiEwE5pPZp6Tx7 BGi5R04pyjp47deLimYs3r2SV Qh4L9erc/NyKQa/dv2aw HYdv1zOBzXrl j8nPzcuV6HxdWKSG5T vRXGN906PHz14I1/SBdgACMUEA0Dp3j0zf Nd//v6brx86fezExTN7jhz4px 9dW//frT2VH3hYJZTG// O2XXn7p9TdepzmdZnZqz/72j9/GLCb3Wu5pQOvuaCwqNn7x3t4F bp7JkgDBPiFwE5pHRycRm6 v/2D73k0fuPenX3HDrlnmqyWV1595aWXX0pKSqLY3P3/pKSkl15 6ZVXXzH59w4GaN0dTwEsPHHuYu/UsEcmeAQI8AiBaNP6uEjeu6R2/i37VQvwCL6Iivra975d1viC7 j50 du3aJ6nRetgZBUHd3N6D18M7C7ZSU6tbG8LYJWgMIRBOBMNC6z w07Td NM/rGGX35CJ7TZ/X4a R8ZORozoR3X8X1lX/z93/3 3/wP//nH/7BF77851/566/98N9/7FEMKGE8ANn5Y055aXph/s7bAS0ABGKFQHhofUQoZ6BvDzZ3f xd4noAh1hNjHu/I0vTg/PjM5Jl90wqvcMj0wWFqG6SKRy2d4/Rz4mm3boAFj7pab96JzH6wwQ9AgTChUB4aF0AC93JOqg0YPadz OUSLDISeMgGjrNy8ZOpwG5 dyIh7 oOLUweOnGad2IDgQECNAJho/XGGX1QbO5eeJzzjmFpvDiYECLykK8jTUslTZxXhUXTbp2a3/f2HpwWLXFwroFIAAE2CISN1nuX1O5MHWwaMDub2fJXJmTnARMS acss6q9ZjuRH026dGvLZy1c6Rwc4MnwgBkAgWATCRusCWOjzXJ Qlv5ePBA7kFuzYdlV5ytXXhkTU3d09MTWJWUxsXH2NieRt8wiX gXLFWYy2g8mktEdlDXVchgXIBhBgQCCctB7yhh2YxDDMUFCvHu ZlQBD02ve w7LWyIaiczFArCWWTUWoWPS36gJYWFhT9SA7O0IjAs0CBCKNQD hpPYSD08YZHfcjrkV6DsLY/p1H9yAIev1f3mTZ5uCaslugYVk4JsViQuvNAz2XbtyMyXhBpwC BnSMQZlpnf3BaMWICNjA7nz PFq4k3oQg6Ec//YlHvr/Hlll0nNsR72JC62Mrc3sPHfMHGsgHCHAcgTDTOks9DCD0CC2LM 1cvQhD0s/ffYdk 9z0HLChFLMcS3mJ7Dx0bW50Lb5ugNYBAdBAIJ61TGyvmM1JA6B Gd18NnjkMQ9MHhfWx6mZOLuX8Xic1AIlHm4o2bLQM9kWgZtAkQ iDQCYaP1WZmEonV/G3ZwLhrpuRTAwg8P74Mg6PCZ42z64r5iXQALo2 0TkH3IDur8HEVGxhBGYAA1xAIJ63TY/PYsINzURqZSCd 9v47EASducrKYzj3Fes 3Q1FGkOq/bKG2qS0tOj0BXoBCIQXgbDRurtY9MFp44wOaF3ckYl0 kc//QkEQVcSWVlxcF xHpPzUmqOOkb6zyZcjfR8gfYBApFAICK03rukBoYukZitgG2 /i9vQhB059G9gCV5oViPIa1Pi5be3/uCa/uAkIICAAGOIAAtKMITCCaGn0COQMkFMV77/ncgCHqQlxFQGF4o1mO7qA4dPz20OBUQSVAAIMA1BKCDx05VNNX vXKzYfgJ3Ln98tPD1b/wtBEHZFYUBhwMU6wEhunon8UlPe8BioABAgGsIQG3Pnl68cfPc lWtNT7t2ItysTDInj7bvjp0IHE91r9y49sHH/z772c WPAlswsF9xboAFsbKaJ1aG2kF bkVpfG0TsBYdgkCz3XrNW1Nx8 ev5GU1DP5LOSRUzaOgNxDBnDnFf/sz78AQdDjzgAx23ihWN85Gjtsobq18XZKyg4bAdUBAtFH4IUj0 8LHVXsOHr2fmTG6PLtDUWJlbrxDsfle/X/90R9CENQyGOCHFy8U6wJYOKeI5e /3snhE cu8n1JAPl3IQIv0LoAFs6Il9ML8995f19WafGCfEenqfQFpV0I a6yG/Nuf/R0IgnqmAvzkAop1NhM0L1/7xXt7F5UbbAqDMgAB7iDgSeuUZEOLU3cfPdp/9ERp/eMdykqR yIs3GE7oDobBP7fT/9XCIKGl6aZC/NCsc6FQ/hjZ88/nR5lBhO8BQhwDQHftE5J2Tk6cOWjO6cuXq7vatuh3EDhvkMAWV b/1Kc BUGQz2DWdAt8UaxzgdZv3btX095MQwcSAAFeIMBE69QA6rvbTl 8fOX2nY6R/h0OaV4h4sJndYej4Gz1edkaBEH/ T//Z2YJB9dgjvtYp TnwlLJLivJKApsLcoMOHgLEIgyAoFpnRKo9EntgaMnE1NThxYm dyIiULjvBD3mumOrsxAE/cb/8xvMxXihWI hNxh39Oq62q7fveueA9IAAe4jwJbWnUbEivXs0uJ3PtiXVpA/I14OeWxc2IWFLDyXKz6dGYEg6Lf x28xC8kLxboAFi7GyNO6O3qD8xOHT55xzwFpgAD3EQiC1qnBjK 7M3c/M/PDAkcKaypCHB5g9ZOgYKrYN90IQ9Pv/6w8YyvBFsc4whCi/evfDA8xnFVGWB3QHEAiIQNC0TrXYOzl8Iyn52JnzNW1NAfvwWW A pibJPkXie2ZddwsEQX/yZ59nGAhvFOucubF8 lJC19ggA6TgFUCAawiESOvUMJqedp2/eu3i9ZstgyCOTOwtOMubHkMQ9NKrf8GwyIBinQEcn6/upqaGxWmSz8ZBJkAgEgjsiNYpgSqbG46cOnvr/v2nM8FZ IINe3hnNK qBIKgr/7N1xma5YtinTtquoLqioe5OQyQglcAAa4hEAZap4aUX1X /r5DD3KyJ9YWWA6SOx9dlgJzvNijwmwIgr75ndf8yTknF9dOYP7 eciqfO2uj6WnX5Zu3OQUOEAYgwIxA2GhdAAsnNxZT83Lf3XOAv d877nx6mWHixdu76SkQBH3/zdf9SdstUNdPGvy95VQ dxbGyPLs/iMnOAUOEAYgwIxAOGmd6mlgbvyjBw8OnThd0RjYjTt3Pr3MMPH i7bXk2xAE/cu//ciftC1z6JhI5u8tp/I5tTD2HDw6zvo3KKdgBMLsTgTCT sUjm3P i7fvHU24WpDbycDspz69DLIyYtX569fhiDo33/5M3/S8kWxzhGjdRrGC9dutA710o8gARDgOAKRonVq2I87Wk6cu3gt8 W73 JA/IACz 0Mm2Pxj509BEPTegT0 K84rRHxRrPuUP4aZ97Myi2urYygA6BogEBQCkaV1SpTi2uq9h4 4lp6ePLM0EJRwozAaBvLKijyMjffDqq68ePHnUZ62hdWXnosbn K65lznLGaJ1CprT 8b2MdK6hBOQBCPhDIBq07vTvIV3JKCr8 bt7MosL52Sr/qQB TtB4Bd73oMg6OTlcz4baZtHRoVyn6 4lsm1H3Dtw0/PXbnGNZSAPAABfwhEidap7ocF00lpafsOHy pq6EFWlQCt47hucr045/9OwRBl277JiAeKda5RuuTG4sf7D9Mr1iQAAhwHIGo0jqFRdfY4 LXExJPnL9V2tlI5XPsYc3zO/In35o/ BYKgWw98eBxcUIoArfvDjU3 gWMnhwUBgpOwaQeUAQhEAYEY0Do1qic9HWcuX7l863b78FNA62 GZ6e/84HsQBN3PfuTd2vCGomNB653PzRwOrocrtz9q6GOy6eImkkCq3 YlAzGidgru8se7g8VN3Hj4cnJ/YnRMQxlH/7T98A4KgzNI87zbb55GRDYV3PjdzOEjrj/Lz8irLuQkXkAog4IFAjGndZaG8kVNe u6HBx7l504JBR7ygUf2CPyfr/4VBEFFtRXeVXikgfEWngs5lc0Ndx4 4IIkQAaAQEAEYk/rlIjja/Mp2Vkf7D cX 2DlQIOAxQQwMIvvvQlCIKq2p54owFo3RuToHJ6Jp6dunApqCqg MEAgVghwhdap8fdNj9y6d /o6XNVLY2xQoS//f7RH/9vCIIan3Z4DGFkQ9E j3hkcvZxVibmoGxzstV33t/HQcGASAABbwQ4ROsLHwc5ax7ouXDtxvlr15v7u70lBjn EPjdz/0eBEFd4wMeBToWtMNAsQ7v1Ir06Olz/bNjHtiCR4AABxHgEK17HJRVtzYePX3uZvK9vqkRDgLHQZE 85u/CUHQ0ILn4XPNOEZ/ZXJQbA RPJaBx9sYPt5ITq7taImhAKBrgABLBLhF697sU1Bd8eH IylZmWOrcyyHtGuL/ep/ VUIgqaEix4I8Euxzllazyopyiwp8sAWPAIEOIgAh2jd6WNAJvH GaFq09Cg/75cf7M8uK1lUbngXADmUQREEQdB/ k8eaIwK5W38Uaz7WwMeg4rJY21ny42k5Jh0DToFCASFAA9onRr P4PxE4sOHB4 dKmuoC2qEu6TwxMYCBEH/5dd zWO8nYuaoXWlRyZnH fkYu9fbByRtn92/Ohp3/52OCIhEAMgQCHAG1qnxG0f7k 4/dHpSwlPetrBFLojMDg/DkHQb/73/ aeKYCFtRPYvELkkQkeQ0Pglx/sn5MCR3U7PXwODXxQiz0C3KJ1lvET6jpbT164dPVOYtfYIPuhx nfJzrF CIJ 7/c/5zFMfinWPYTn2uOpC5e7J/xGDuCatECeXYsA52id/UyU1NfsP3IiKe3Rs8Up9rXitWRDXzsEQf/7T//YfYBjIlnLHOqew/G0z8MV7sh85 HDymYft724IyGQBCAggIWco/V5RRC3UeZla5klRb94b296UcGsZGU3z2hlax0EQV96 cvuIHQLNINrvFGsc/m8lEI1r7L8UX6uO8IgDRDgIAKco/UQPtsjyzP3MtL3HjpW9HjXRSbrGO6jQyO98cYbf/n1r7gvsrpJwxzHIg25i ed5vhuvbGvM H2R95igxyAAKcQiAdapwDtnnh2/W7S8XMXHrc3cwri6AiTUZILQdDfvfb37t3xTrHOcVofXpo cPSkO8IgDRDgIALxQ sUuI19nWcTrl66cattqI DcEdOpHtZqRAEffeNf6S7mBDLmmf5pFifU4gXOG 088H w5Mbnhe aMxBAiDABQS4SOsh6GE8oKxoqj984sxHKSm7x4nHzZRECIL e1/paHoWVIPrML0I/cTXItM7ROx81evtT976vMVyAQIcASB KR1CtzcirL39h58mJuzG7ZXF29dhSDo337xU3ph1U8ZOK7ToEX lUeJeRkZJ/WMeCQxE3YUIcJTWwzUTE sLD3Oy3997KO5D25y4dBaCoHf2vk9DxzvF uKOnSzSY49coriu5n5mZuTaBy0DBHaOAHdpffFjP707H TTmbHbKSmHT56JY6PjAyeOQBC07/ghCq5JibRpRrdz6KLZAi9 W7QN9V24dj2asIC AALBIsBdWg/7h7x1sPfijZvnrlxretoVLEzcL//u/g8gCDp 4TQlau yun9FxX2x3SUM 4y7Nx6u9MT6wocHjoSrNdAOQCASCOwiWqfgq2lrOn72/I2kpJ7JZ5EANFZt/t93/gOCoAs3EygBnkzpp6U 3GHGSjw2/fKC1gWwcP REyPLM2xGBMoABGKCAHdpfef2MAyAFj6u2nPw6L3MjNHlWYZiP Hr11k9 CEHQjXt3KJl5p1ifV4iCumAcw6m5fOt2XP7giyGkoOvwIrBLaV 0AC2fEy mF e 8vy rtHhBvh5eWKPf2vf 6QcQBCVlPhTAwimptGFaH30ZdtIjX7bqAliYmpsDAqnvZK5B3U gjsHtpnUJ2aHHq7qNH 4 eKOW51do3vv0PEASlFeUIYGHfiqpvmWeKdR45Oahoqk9MTY30J xO0DxAIGQFO07oAFkbn2mHn6MCVj 6cuni5rqstZChjW/Erf/01CILya0oFsLBxWjcllcZWnjjuvWts6PTF52cYcTxMMDT IsB1Wo8msvXdbacvXr5y 6OOkf5o9huWvr78yssQBFU01wpgIe8U6y4/ 7wJzjArWXn3wwNhmTXQCEAgEghwndajs1t3R7b0Se2BoycTU1O HFibd8zme/uPP/wkEQU96W2dkkidTau7A wAAIABJREFUPFOsR/R4PBITd TU2YG5iUi0DNoECOwcAa7Tekw 8AuK9ezS4nc 2JdWkD8jXt45ylFo4XN/8PsQBLWP9PWvwL3L6ij0GN4ueHRkKoCF1 8m1XW1hhcB0BpAIFwIAFr3 9t/dGXufmbmhweOFNZUhgvuyLXz337rv0MQ1D832jSjm5TwTLG oBTx6MhUAAsziguzS4sjN5ugZYDAThAAtO6X1ilYeyeHbyQnHz tzvrqtaSdAR7rur//Gr0MQNL42z0fFOr 26gJY Li9 ea9e5GeU9A QCA0BHhA6zHRw3ig2fS06/zVaxev32gZ7PF4FdvHAwcP0tGRPvWpT01LhPWThtiKFELvvKP1 pzOjx86cD2GkoApAIAoI8IXWxVz4kV7Z3HDk1Nlb9 8/nRmNwtyw72JatARB0K/8yq8MrMI9S/xTrHNhctmj7bLb2fjFe3vn5WtB1QKFAQLRQYAftB4dLFj2kl9V/v6 Qw9ysifWFlhWiXSxZ4JJCII /ZlPN8 iE2JZpLsD7Qtg4cnzF3snhwEUAAEOIsAnWp/nTES0yY3F1Lzcd/ccyK1wXv J V/3xCAEQb/zu5/lo2LdtfkVxRzDYAX4KCWlqrUx2FqgPEAgCgjwida5poEdmBv/6MGDQydOlzfWR2GqGLpoGuiEIOgP/ iP6nioWOfC2QkDtv5e5VaUpRXk 3sL8gECMUSAT7TOzc9/27O yzdvnU242tDbEauJrGlvgCDoT774pS6BJlYyhNzvolLEiyimHg N80tNx9aPn/jI9XoFHgEBsEeAfrYcxalIYoX/c0XLi3MVriXe7x4fC0mzP5FBuZXF TWlFc 2T3gA3X4rrKyEI uIrXx0T8U xzrUfYSyn79ni1MHjp1gWBsUAAtFEgGe0zs0NOz1hxbXVew8dS 05PH1naUZiFgfmxT//mZ77/Tz/4 2//w1f mtffuXlx51MVvNZZQUQBL38tddoSXiU4CmtC2Dh /sOTQkFPIIaiLpLEOAhrcvFcwoxZ6dnVrqSUVT483f3ZBYXzslW Q5Mzq6zgF3veY183JTcdgqCvfPMN9lW4U5K/tH424SofvcJxZ qBJBFCgH 0HiEgwtvssGA6KS1t3 HjxXU1IbTcNT7w7R98b2yVbeSm2w TIQh67Y0fhtBXzKvwzmidRiw5Pa3sidNlJvgDCHAKAb7SOneMH Rmms2ts8Fpi4snzl2o7WxiKeb8aWpj43c/93lf/5utf/8bfUH9900wm0gl3rkMQ9Na//dS7KZATOQSKHlelZGdFrn3QMkAgNAT4Sus8 uX pKfjzOUrl2/dbh9 ynKSzl /fPDkUbpwQAXu6YTzEAT9/INf0lV4lFhQ8s9onYK3ZbDn4vWbPIIaiLpLEOArrXP87NR79ZQ 31h08furOw4ds/HTnVBQdPnPcuxF/OYdOHYcgaM8RXsZ24NE3tAf 46vzew8d88gEjwCBmCPAb1rn10ZvUbmRU1767ocHHuXnMm/A3zuw57c/ ztfevnLf/n1r/zda3//3Tf kXmh/GzvAQiCjpw9yVyMg2/5y kUmPsOHx9dmeMgsECk3YwAj2mddxt2ap2Nr86nZGd9sP9wflUF w8rrHOtv6Guvaq0vrC3PKMljKCmAhf/80w8gCDp77RJzMQ6 5TutX7pxq3mgm4PAApF2MwL8pvU5uXiew8aODAurb3rk1r17R0 fq2ppYCjG8tVrb/4MgqCrd2 xLM dYnyn9Qc52byIssKdGQeSRAEBftN6FACKaBfNAz0Xrt04f/V6c/8LO75// XPZiTPg 11Twx 6/vfYRbjb777QwiCEtPuMxfj4Fu 03p5Q11SWhoHgQUi7WYE4oHWebphp5dddWvj0dPnbibf650aoT Lvpj/4sz//wvDS9OmE83/6hc8/yE2nC3snRoTyr33z xAEpeZner/leA7f5665vzvh1m2OgwzE220IxAOt833HR625guqKD/cfScnKHFt1HsF9lJr8xS9/6V//7W2fFusf7N/76ov/PvOZz RUFu225Rvz8fbPjoEwSTGfBSCABwLxQOs8PTv1mAkBLJwWLf3u 5z73W//jtz//xS9841vf/K f/vRvf/Z3/u87//Huvg 8Cwtg4RIskuvVUtQ2Nj7W3d0tVkjlevUSzCczcH7ZMnnPwox4 b29B73zQQ5AIIYIxA tL3AmyMZOprN9pK otuLg8eNv/egnJy eT858eOPenWtJPn7mCxG5kcBz83Lf/vHbr7z6yiuvvvL2j9/Ozcs1ErgQke9EhqjVjY fWXsOHp3cWIwaaKAjgEBABOKE1uNmw05PWPtwf8Ltj05fSnjS0 05n0gkhIt/Y2HjzrTdfevklj78333pzY2ODF8weH7R 8sIlEP2OXpkgwQUE4ojW5dx16xjyTNd1tp68cOnqncTOsUG6kS VYZCRwmtNff P1JNe/1994naL4N99600jg3NfGxAetX0u86/Orl54vkAAIRBmB KH1KAMXze5K6mv2HzmRlPbo2eKUABbK9ercvFyKwa9dv ZwOLZd/xwOx7Xr16j83LxcuV4dTSFD6Cs aD0lKzM0P50hIAaqAATYIABonR9eVedla5klRb94b v/uqvlpeXv/3jt196 aXX33id5nSa2ak9 9s/fhuzmNisgBiWiQ9az68sTysIcA04hiCDrnchAnFF6/FBE 3DfSm56akFmdXtnhdQR5Zn7mWkd3d3v/LqKy 9/FJSUhLF5u7/JyUlvfTyS6 8 orJavG3oIWIYlUt8fc2avm88K4cEI2a9ubb91MCFgMFAAJRQwD QOrd267/c /5Lr/7Fj376k7/6 le/ Z1vvfa9bydnpXqsBp3RsBNa1xh1OEngJAFjiEfL4DEEBDpG s9duRZCRVAFIBAhBACtc4jWR5ZnfvDW88B142vz//z2vzb2d/zDd7/dOtTjPv2YxRSyEkaEKHCSaGxpqntSj5OEBIXdW45mOj626gJYO LI0c AY/3xnRnOuQV9RRgDQOodofU66 vff/gcq1l3LYNc3vvVNASw8cvaEx4Z9J0emqMkgVkgTExOTkpJoWl9 Ri9c1siivvPjQmFGg/fzdPYvKjSgDCLoDCPhDANA6h2hdAAuvJt36wz/6//70C59/5a/ T1pRjgAWdo71z0lfCHUdsoGjRAfjJFFZXVVZXZVXkI TxIZWLkIUmMWEkwRmMUWT3OOJ1g8ePzUsmPb3GQP5AIEoIxBXt L6oFPHddRQ1/W3DvczrYFqqXVsP jqS3mwUrC5nZmWNTIzV1tfhJCHXa3CSWNlYyy/IXxOtOwtEK ByPNH6 avX24f7owYd6AggwIxAXNE681D58vbOo3tnrlxISLzxUWpy80C XT7EfT2ArKtin8wClCr5z70Fl8xOPinK9GieJvIL8rp7u9q6O3 qd9Rtcm/dnYSILr38zCnMGMe9SK3GM80fpHKSk1bU2Rwwq0DBAICoF4o3V eu44aW5v79Gc 82 / I89Rw7sObL/Rz/9yTe 9c3v/dMPPGZ0QixrmNbTrr4wi8lktZisFsxiolx9tQ72Xrxx89yVa41 Pn38rLKvERotpYnryUVqaUgPX1teNT03gJNHS1no/JaWlrbWsohwnCZlOJUIU7t0tqyLlOCyeaD2tID vsswdN5AGCMQQgXij9VmZhL/Mnph2f/ Jwx6r4btv/GPrsxcsYZpn0VFhYGdeNW1Nx8 ev5GU1DP5jNqqP0p71N3Xg5NEQVHhmmijorKiqLhIJJfcuHFjT bROWT1S/8v0KgEslOhgI0kYzLgYVXpItfPHuLGEEcDCkvrH9zP55 x 55MIWuAmAvFG67z2 ZVbWfzWj384JfzEHeCCYv37//SDgflxevXMK0Q14xj9GDBR Lhqz8GjlU/q9Ti2uLJEsXZycvL9lPtPmhoQA1paXlZbX4uTRP/QQPK95KLiotGJMZwkFAYNZjHNLc7PLs4bSWIpYtv2gEPgfoGG3 o6rdxK5LyeQcJcgEJ 0zt D0/3HD7/86l/8yef/9M 9MW//NpX/u61bx45e8J9LXYJNP0rwRmbz4iXS2trcvIKpxfmtbgeJ4ms7Ky hkWc4ScwuzF25ckWhgQeeDaU8eCBVykUy8aO0tNnFOb3ZiJNEe kb66MQYrXNf00jDcj2VvxPkPhd0um9q5OT5i/QjSAAEYotAHNI6rzfs1GoYXZnpGh/oHPVhXBHUVp1qTYQqcZJAjYbRycnzCdfWxSJa35Kbn9fW0Y6TR HZO9uKKwGDBcZJo62xvbGnCSWJweKiopJgymFlWiSSo0z4SJwk lpt3hqo0nxboAFk5uLH544MgOMQHVAQLhQiBuaX0uXvz0Jmc pCd7YBXuWAiaUpUGrdGMp6Sk4CQxt7585aM7WfkF04IFnCQ6u7 swM46Z8eR7yThJqI0oThIVVZX9Q4OYGb blDS/tEh/BxjM OKKoK3T TWwod3R9aU4o3UBLHx/76Fp8RI9UyABEIghAvFJ6zEENLxdz8lWf/Lzf6fbrBnHZoP/ulIbUblKmfoo1bnRNmi1Jr1EKW/t7Grr6tLoUErZkpiYuCpcw0licmYqMTFRhxs6ujrLKytwknjS2 JCTm9PR3YmTRE5e7sCzIZwkllU78m4ff7R /Oz5/pkxeqZAAiAQQwTimdb5aBIzujI7J3vhTim9OMZFssYZHf3IPqH BdRsSUeqjR7jLrMVgMra2t IkMT43c Tk2Ue5uajRsCZaz8nNTXb9W1hahLXqlAcpQqm4uKS4 nHNhkTU2NzU2tGWl59HfTesqAGtv3A/OeH2R00fm5OynxpQEiAQCQTimdZ5tyU8eu7kr/36r/3Zn3/hSy9/ S/ 8tW/ vpXv/6Nv/m715yeYQSwsGlGNyYKbNfovUpQAptfWkxLT8NJYl0sfPDwQVFJ sdaAanDdgmI9u7T48rWbGxIxZsblaqcWHieJuif1TxobZuZns3 KyqS8D1KhPSEiYmp3GLCajxVnG6V4mVMNH3k2NN6oeOcnp6WUN dR6Z4BEgEBME4pnW5xRiftFHefPjb/3jd6l1MCtZGVme6Z16RrlvnJOLQzgspZrSE8bpuZni0pK5xfnr 16 3uLbqRhcvU7eNRldm72dmJqekTi3Mw5gWM NFxUUqVNPS1koVxkmit7 vtKyUIv3uvp7W9rbl9VXXaWrQMZj4 Csq4Iczp7wko7gwYDFQACAQBQTimdb5aBLz3df/cXjJGdnO469zUTuwGpxdowAWSnUqjVGHWUx9/U/v3Llz9 7d8elJiprrG54YCKPaiEpQmLJZ7J0cvpGcfDfloVzltHgxksTA s0HKf69ap02 l7y8vqrDDTm5OQ1NjWOT44XFRVOz0zhJ6AkjcN1e1dKQ PCTw22P6QOPAIFoIgBo3ZNAo4k 75C2KpvaGU4SUiVzv8rq6sepj6UwnInC5uNi8uCrOwsvQmjKJ7 20OtU9TztunH3bn5J6bLr3mlRSXFJWWl6Zkb14xrK2QCVMJLE4 rKAUrV39Tpvrsr0apYm7XOKHenl2YMWzZKtQ30Xr9 MZo gL4CAPwQArfOA1vtX4a5Fjb8p9JdPmZk/Snt048aNquoqSkVOeRHIzc8bGBoUSkXNrc15 XkzC3MUv9MOYSqbG85cujI PY1geo0OqaqplsHO Btp6WnL6yuIyWAw49NzM7muE9TMrCycJDS4M gSG /NKM YPXI39oYfLwyTMemeARIBATBOKc1uPjNmPNOBbaQKg7pTrcgJO EFtevqCVGCzE2NZGZlZXyIOXWrVu9/X2o0XnvtKi4SKJw7usxi0mIPD Yza8qv3333vj0tN5kpI5J8wryl9aWqe A7JycoZFnQqk4K9tJ6zhJVD uWRdvICYDjCEMp6lxSevz8rV3PtgXk88w6BQg4IFAnNO6x2j5 DgqlDeFZNdIDVaEKJQGLUWySoMWJ4mHqQ8nZ6ZqamuGRoadOnS XZ8fEu4k5uTm5ebmrQqfPL1qdMrmxmJqXe/ZiQlndY8xiEqwsFRQVdvZ0paWnUU4fJ2emKNftpWWlVTXVzt8E hFGFOt24a3Gnm0nvv7ikdQEs3Hfk NjqnPd4QQ5AIMoIxD t891TYMO0fly8oyud9JJCTAahVEwpx/uHBhubnR4CcJJIffRownWUOj41kZ6RQWlUdASmMqIiRLGkEm0o pR29veVVNXIVrELUY5PjtN6mvaujvaujpKy0ua0FJ4nhsZHMrM yS0pJKl9pHZfQRBTteaf3M5StdY4M02iABEIgVAvFP67wmkVmZ 5HEw/hqZl5EIeW6WjpPEzPxsRqaTwZ8ODlAB8LQmvUgmSc9Id9K6Hpl ZmFO4zNhVLo8CMlgOa9VPmlv6h57J1bDebKTU9JXVVTm5Ob1P 6hvCCksF8kkiEHX2NzUPzRotJg8RJqVixeVkfLh7tFXlB9vJt r7WyNcqegO4CANwKA1n1oCbxhilVOx4J2cC3Mvs43tHIVhuAk0 dDcqDdhd 7coewUcZJobm2h9vI5uTn1DU9KykoHh52uAiZnpkpKS3CSQDCd VKlIuPnRtcS7IwtO68b6hifDY6MUp1dWVRYWFWXnZLd1tJeUlT 4d7HfqbV7Uw8QrpwtgYWpuTmFNpcd4wSNAIPoIAFrnNK2HYNfI Zg0tqUSU4UprR1tFVWV YcGaaGNkfPTBw4cyWC5VygWrSypELZKJHzx8QFG2zqhf2VijjF 7EqLK4tnrvoWNPnz3T4U4rSRhDNHokISHBaUBpwjq6O 7PIvtKnv2wsdVD3Oy2eAPygAEIopA/NP6gkLEU2 OT1dU3YKg7RpZLhcNrpOrlQkJCWK5dGRiLDcvLyMzY2FZMDI ev/ /SeNDXeT7ja1NFM8Ttm5O2NraGCnCaPLfeOsdCWjqPD0uUvl9bU Sl3onJy 3o7uTOlYdGXdu4emjV1oqns4FLT9Doq6r7UZSMkMB8AogEB0E4 p/W XjXlJr7mnEscvfsUcK5y 7p66WMGqktOU4SNbU1fQNPcZIQSsWpj1JnXSbtlJ07ThKjE2Mb EqGOwFY1UsqJ47BgOikt7fSFhFWRUKNHOro7K6urMjIzqfhK3o uY10cd3sNxz keHzp9KcE9B6QBAjFBYFfQeuTIMXJzNiKUt8yikWtfAAsxi4ly xyiAhWJUKUFhzILPCRby8vN6 /sqq6soffrY1ER QQHF ykpKdPzs0ZXRXfi7hobvJaY2NbZrVCrnOexri8D7606f79i2Uz E Nr8vsPH2JQEZQACEUVgV9B6RBGMUONPpvSTEmmEGqebXdO80IV U5yRlsVwyMj6aV5C/4IqhQdm5O7f2T3tLy8toU/f6hieUqy8J txZzZOejovXbzZ3dEpVCpnetwuwON6tC2DhLz/c78 vMo05SAAEIo3ArqB13pmuT8sktRNBxKEO4yoRIQrqNFVrcEZKe jrQX Jy3Kg1oMn3kssrK YECxhhzMrJpkzdae2NRPec3Msb6w4eP3Xn4cOBuQkPwebkYj7 cvIYBcPj8XMX qZHGAqAVwCBKCCwK2h9VsYzW m2eWRoPcx2jUEtpg2tHMYQo8W0vL4qlktwkmhqaXpc 1iqlFXVVJeUlVKm7o/rau8mJRUUFoxNjuMkQbuUWVRu5JSXvPvhgUf5uVNCAd11fG/VBbDQabre0UKPFyQAAjFBYFfQOu9UuhGyawx2hQkRBWIy6FyHq yWlJXKVErPgGj2SlZMtWF3CSYJyEqDUqu6npKCYXm184TBgfHU JTvrg/2H86sqqK4XlZw2Jw0WH /yGcWF2WUl3vkgByAQTQQArXOOaPqWVT1LvhXT0VwZdF9rGikV7 5TSt7R2tFVWVxotpoLCgpKy0ty8vKnZ6azsLKFUrMF9xOTrmx6 5de/e0dPnqloa6DbjNVHd2vhRSkq8jg6Miy8IAFrnHK3XjGMc3NWKE MWG1umuvb2zQ6yQDo N5hfk4ySxsrH2KO0RFcyaVq97r/7mgZ4L126cv3q9ub/b 23c5PRMPDt18XLcDAcMhKcIAFrnFq0Pbyha515QZXBqYcEurwN UTNT79 8vrS1vSISP0h6JZBLUZAgoanVr49HT524m3 udis9zxRnJynt7DgbEARQACEQUgd1C63wxwKifNExF3q5xJ0tq WSWWuewgJ2enyysrCooKH9fVup XMjROHZkWVFd8uP9ISlZmXLqxPXjs1LBgmgEE8AogEGkEdgutR xrHsLQ/JZXWTQbe84alrx02ItXBBjOOk8TC0uKaaB0lAptjzivEtKXptG jpUX7eLz/Yn11Wsqjc2KEwnKqecOt209MuTokEhNltCOwiWue N5LWOeTZhoJHS1CEKFACM5jx/7 9M/9uqlr///0zvuvz/eWLd0AZWqYiKlcFvfoBxYvT1etHuNePCEJFFCxTaWkrLYVLqYw FLENBoMpMmQt0btM56ZA0TZu0mec085zzXenWwzFJQ5qck5zkP F0s1u7JOXt4771fefrsfZ6Nb20MU/ng3Y2NvR3/OXRo/cbNF25eDfNgcn10sPzHs1d Sa46Q21TTAEGYT0YK7Tqy36FkCb7GimSZSL977fU5xXv2ZKbd PxfYqKjme2569fKT12LJ4lQlmgQIACgHW6LJk 5qlqBmi0rzFgoFD967Xqu1k7cgv2/qc6yQ8YuttUm7OrkGq5IH9QIIwCgHW6YD21TfUwQ5D40U/XL2d 813J0SPN/V3E60mUbhvsXbdhUxJVGKqaegowCOt0fte0eUh rzfEsZ pN Ce2qJeieD4T2f/vWpt2dkznFH U n4Q1rMjd0DvfTsGJQJYYoAFinhbV rXOsWzzKkDEXSTNZPHbpsbK1X288e VSJPfT6p5teQXVrQ20qhJUhlEKMAvr/b8/V5MmPd05Kr7RZaBJZWhVjUcdzbv2lWzavuPK/du0qlj4yuw7crjy1vXw98CnoAB1CjAL69TpGEvOdzg6VlLta4y lsVE8W1VbvS2vILdw992m2igej/8jp36 ePT0qfiXCyWCAkgBZmGdIx2hW8f3yUWwWBpJp1Teur7hu617Dh yo57RFcn8C77nx MH3/9mXwApA0QxXgFlY75WJemT0Ivsjrrp2QMnwURh5809WXli1dv2 hk V0XpNs7O38ZvO2yBsFd4IC5CrALKzTcDMMmOqTHdAdQ32Hyn/8Yu3Xp36 ONln43b/v1et7ZMOxa04KAgUICoAWE/kTphGgfx n4bYH5COUIE6dlvxDz9syNr68 0bET4Sz9s2bdtRx26NZ4lQFiiAKwBYTyTWr3QY2RLY1xh9F9xt rMkpLNqe/z3domsV7t9/tfouPs0gAQrEUwHAevRMibGfOkYkN7thXyMJ l d2vjtuzCkv2PO1ti7BSyHj92rqL8Ipx R0LnktUjjMqHcVinT /e5uhbhVL61CfZa1Jx Zcv13/7w/FjrXxOwtty6d6tPQcPJrwaUAFmKsBErNPhpaReGexrJN U6x7hHT1z rMv1p04f65PlsgVy8edLVty8pjJFGh1whVgItYnihAbz8542K u5yviWSJzymrq69x35PBX32adv5GwMO4cMX/VWjj9jvxvbuYM41haClhPzMiDfY2xjNpInn3Aqs/fs3dzzs7rj 5Fcj/p93y1MauFxyY9W8gQFHiqAoD1BGC9YVDxAPY1xiU z7WH9zbn7Mzfszf sbd27i6 Xf/oqTMQboinAm0iSRXb0C5K8TUtwHoCsH653UjDMAbxnF1xLuv89 SuZ336378iRpjiGcfeffnc1 cJPxrlr4lxcFdtQXuusZFniXG6ci2Mi1hP7rum4vaCPczdDcT2 SwRM/nf3si3VlFafZIwNxEOT8jas/HIfT7xJgNoXp3EqWubzWWcNL8XAdTMV64mJ VbH1ban N2CYeZXYj1r8YdyPfbn 2wrqT5G 11yXU1iU2PZC6QEKlNc6y2udKT8BGYr1gM6O26890hFYLI2b2h MV9Ki9aVdJyaZtOy5TGca9XdCb Q2cfkcja71NJAGs06g/JpqfUV/vlyemddX9moZB2NeYGPEDRsvNmgfb87/PLSy621QT8BFZv67O3NAl5JKVG QTowI1PBXCeoz50P9xhlrridq6DqY63abExarrG7K2FlMTxn38 9LtGujWZsfVhyHopVyEErMfPcqwfVDzsVzN2UtG24f3y4ZMXz6 Mw7h1DZB4tve/IEXoGmKRtX1BaMbReWsVO/Q0LgPX4Yf1yu7GXZod4UDqLkivztsGeg U/rlq7/tTPF8iq elfKo eOU1WbpBPjAogD0zKb4MBaz1 TG8VSm8xwEyIceIl/PHaLtZu8sK436yp3rUPTr L3ywLM36Ys14KWI/fgLvZbWgfkYQZdvARfRS4Xf8oZ1fh9vzvq oexlKrpr7Ob7fA6Xfxm2VhOgtfL0353Y0Mxnp8962zJaNX2o1h xhx8REMFfrlTtXFrdmFJyeOO5qir5z/9LqGxJKOueYo9iBzrKf9 Keo1hvrW4zxk7/dpGgXyOBcKxZGiwOlLlWu qb0 LHWgWjCuG/avqOe00ZKTSCTWBRAWGeCqc5caz3O 9ZhX2MsEzLhz3YO9x85ffJ/V4 HcZ/kwdNFpaXXHiYmhGTCdaNPBXDHOn2qRGlNGGqtx3Pfeh1f YgL xpp4WCNZS7Vc9r3Hjr01cas8zeuRJ7P8Z/Onrx4PvL74U4qFECOdYZ4YJhrrfdIR/rlIioGUHCel9uNffEqK7h0uEKuAveaanfuLt6Sm3c9Mhv88v3b e H0u7gEYQ7T0YzywDAX6/4gjnFZNWUJZXc4ujADDj5KRgWuPLidlZ1bsGfvA1ZD PrXdLVsydkZ/h74lGoFmBCMl6ghQ50wcYvNe6PL0DkqJioO6ZRR4OzVS s2bPLBHBMkAAAgAElEQVSHce/rnKhRPZLBVV/C6XeJdMEhxzoTXi7FByFgncIB1y0evdoxhmsNidRTgD0ycOzsm X99/mVZxZmJwriv37SZNQCn31E40cKPK RYZ8geGCQFc7HeQ70T5l6vtmkI9jUmbD6Hn 0kftrU11ly9OjaDRvPhgrjnle8507DYxKLg6wmpQDTHOuM9q1P amREdzPsa4xOtyR9qrq1oWDvf77bnhMQxv3QyfJzcPpd4lZNme ZYZzTWqd4JUzugfMxTJSmhoNpRK3D90b2tuXk7i4rxMO4Xbl6D 0 i1jPGBxnoWGc01qneun653Rjnl55inADwOIkKnL9xdf3GzXsPH qzntN1vqcvZVUhi5pBV5AqgGOuMcqwzGuuUboZpGZbd7YF9jan vVQ/Dl16J4MT5c/ 7OvPwqZPrNsDpd4kZDAx0rAPWR8NMy1g ut451gX7GhPnTo2l78h9lsVj/3D82JrMb7pFPHJzhtwiUYCBjnXA igV7392icXXO2FfY2Kss0imevzvaeZ2xb9QKJGZjnWmY50iP8z dHm3LsAwmFSgACiRWAWY61gHrwj4ZyZFh hVC2NeY2MkMpYMCSAFmOtYB6 Q7Ch7zVDUDsK RfGEBVaDApBRAHhjmRG0kisPct0xxFch93RRMdVxYSIACCVQAs M5o24ojGSFr8DUPye/1asnKDfIBBUCBqBVgrGMdnDD 7zMSsX6tY6xbTNWmyajHNzwICjBQAcY61gHrZGK9c1R8o8vAwP kDTQYF6KYAkz0wgHUysX6Ho2PBvkZ4BQkUoIECgHVGO9bJcsL0 yUWwWEo3kw3qw1gFkAemhqdkpgKwE0ZISijHR1x1LZ hY4iZMwdaTWcFmOxYBycMaX pgKlO50kOdWOUAgz3wADW/ViPfd86SyiFeI2MAgc0ls4KANbBCUPCBsdbbH27SELngQ51AwW YowDDHetgrZOzEwY8MMxBBrSU/gow3LEOWEdYj kFonq 4hFXTf xDjUEBZigAPLAlNc6mdDYidoIThhhjKffXekwcqSkhR YqJ/gOigACkSiQA1PxcyjM4jiANZjwnq3ZPQanJhBg9dPiGMa0kxWA Bzr4ITxO2FiOUi6ul/dIFAweRZB20EBWikAjnXAuh/rsfyDxdJY1INnQQFyFQDHOtITnDDjq6ZROcdbhdI7HB254xJyA wVAgagVAMc6kg6wPo51STSbYW5zdG0iadRDEB4EBUABchUAxzr SE7D qxMmiv0w4IEhd05CbqBAjAqU1zrLa51gbAHWo8R6w6DiIWxXj2 1lIsY5DI DAkQFwLGOqwFYjxLrVzuM7KhcN7j0kAAFQAESFQDHOi4mYP0J1 iOP0MuWjF7tGMNFhAQoAAokXAHAOt4FgPVfsY4rEkniIVfdMAj b1aORLhJ54R5QIAoFAOu4aID1J2yK/L0kWCzFBxAkQAGaKABYxzsCsP4E6xFuhmkTSW/DdnVYLAUFaKYAYB2w/oTmuBbj55o fQP7HY6uVQjb1UMLSBQT0qBAPBUArONqg7X OzxFYrCDBwYfPZAABeijAGAd7wvA uSw3iBQVPdDdPXfiYYPJkiAAglUALCOiw9Y/x2hnmqtX scg 3q OiBBChAHwUA63hfANZ/h3WuQtgrE HqBCQ40pGrHcaAi/ArKAAK0EEBwDreC4D1QKzj0gQnHnHV9XzYrj4JxYI1hCugAEUK oOABlSwLRfknUbZ/4CufvvcjidoTe1X7JrbWYbE0dnkhB1CAIgUA67iwf/D6fCqjjqeY0POA38qQRL889DF47SLJLbaeISJAM0GBZFQARXBM xpqTW c/DKslY1az2 NRjGnJzTp5cwu5cHqnR8eC7eo0ewMleccY1JwKBQDrSNVffesi jcxktzpczhGtnAq5kyvPkFgHD0xydSLUloEKwEGmqNN/t2Qq1as9Xq/GZGDggCA2ORjrjQL5gz4N8R5IgwKgAN0UgNORUI/8DutchXBQJTZazTanQ6SR0a3P4lmfALJf7xzrFsPaMuyBAQVor UAV21Be66zhKePJChqWFYh1VEW5QeMbX0qlYY3jUyVi7PUe6ci VdtiuTuv5HJ9RAaXQXAHAOuqg0FjnKoQCtdhst1octmG1hOZ9S XX1HvNUdXymf/9TLTLkDwrErgB6I6mK8TvWJsQ6klg5psUwTMm8TTJ9chFHOoJE uNxujDwUe xDE3IABUCB6BQArCPdnoJ1rkI4rJZYHDaz3SpQi6PTOkmfQu71 jhEJfPknaQ9CtZmmAMQPQD3 dKyj 1RGnc/nkxsYtBsEYf1uj7ZlmNGrx0xDA7Q3eRWAF01R30WKda5CKNLIb E6H0WYRqBhhtiOsw3b15J3kUHMGKgBvJHEVwklgHQ0Rjcng8Xp lekbEHK/jK2G7OgPRAE1OXgUA69FgnasQjmjlDpfTYDXxlb8uKibvIAhf8 2udY11iRvxpEl4H BQUSBYFENbbRIw lnLS1jreuzrzmMvjluhTduffw371nR4d3l5IgAKgAP0VgBdNo7 TW8a4V6xROt0tvMaZeAMjHPNVtDjAdXkECBZJMAXgjKVascxXC AYVIbzE63a5RXeqcL1E7oKzqhhi8STafcWsDEkxWAGGd4ZuSo3 fCEIeOVKdyezxacyrECKvnK290pUJDiB0EaVCAIQrAG0kkWOv4 WBlUjo5ZzfYkD 3bKFBc6xzDGwUJUAAUSC4F0Nb18lpnclWb3NqSY63jdZLp1V6f V21MSg9G85AcQnrhXQkJUCBJFYA9jiRjfTy076jJZnG53Yqkei W1SSCH2C9JOo2h2qAAUQGEdSaH5yUf60jfEa3c7D9uyZUULy7V DijB90KcGJAGBZJXAbTHkcmrplRhHY0JsU5hddjtTodUp6LtKH nIVTN5BNC2X6BioEB0CsBmGGqxjnpFolPanA6rwy7RqQYU9Hox 9X6v9i68cwQHT4MCKaQAwjqTV03jgXUEd5lebbbbMAwz263KMe 0QDcL83uboIORLdAYRPAUK0FYBtMcRsB6/F08GFCMSncpgNbk9HofLqTEZRrTyhIyPG12Gxzz6uoYSogkUCg qkgAI41hkbGSZ 1nrwcBFpZBqT3u5yeLzeMatZqlfxlfE4BrpfLrzaYaznp85rsc HawhVQgLEK4FvXGbsZJpFYx4edQC1WjGnMdiuGYRaHTWnUDVF2 gCpHOnK53dg0lJg/EfAmQwIUAAWoU4DhexxpgXW8dwcUIolOqbcYXR63w 3SmsdGtWTa1F2j4svtxlYho4N24mpDAhRIVQUA6/FzrE9qDAk1MrVRb3M6vD6v0WqW6dWDsblo2kTSy 3GjlGIn07THp/U8ICbQYEwCjB8jyO9rPWQ/TSoGpUbNCabxefzWR12lVE3rJ60ud0yLLvcbmRL4uG7D9kKuAg KgAJxUwCwnjS2G08uEusUOrM/DrDT7dKZjWKdgid/ev0bBhVX2o19MlHcRhUUBAqAAglUgOFxHJPAWg85OIbVUpVRZ3 XYfT6fyWaRGzSDqtCWeM2A6noXBGV8 pdfSJ3hIiiQjAogrFeyLMlY djrnKxYx1s qByV6dVGq9nr89qcDrVRL9Q8cdE87FffYidlOEm8gZAABUCByS qA9jgC1lPBmhvVKrTmMafb5fK49RYje9RY3aed7ICA 0EBUCAFFGByeN6kt9ZDjr9htYQvtxgsTgzDTHarwqARqGADTCp 8c4fsbrgICgQrAFhPtQl/o8tQMx4YgK8clepVY1azx t30aiMOgENYtEED0G4AgqAAuQqgDbDMDN QKpZ631y0ZUOY/1giJeYRnUKg8Xk9XqtDrtiTDsI9nsKBe0jlwiQWwoogLDOzPgB KYV1jsQfGKB5SBZ UEp0yjGr2efzme02uUETn0A04asEn4ICoAC5CjB5j2NKYf10vT 3yv7l4CpFUrzLaLH7/u80i06vpFgue3FEOuYECTFOgvNbJzM0wqYP1NpEkui7kK0dkBj UKNGa0miU6VSSvODFthkB7QYGkU4Cxq6YphfXITfWQA3RQOaow aCwOm9fnM1hNYl0IB33IB EiKAAK0FABxrrXUwfrlSwzWQNrUDWqHNNanXaP16O3GEcTdNAH Wc2BfEABZiqA3OsMXDVNEaxH7YEJP9yH1GKVUWd3Olwet848Jt I8ZTE2fG7wKSgACsRTAcaumqYI1itZ5hg9MOFH27BaojbqHS6n 0 3SmAzE AThH4RPQQFQIIEKMNO9ngpYp8hUDzkWhRqpxmRwul0Ol1Nt1Ec RIjhktnARFAAFqFCgkmUur3VSavNRUe0Y80wRrFfFPZ7XiFauN Y/5T3Ea57tEr4T3V2Mci/A4KEC6AsxcNU0FrFPtgQk/1Ea0co3JYLZb3R6Px u1OGxa85hMrwZDPrxu8CkoEAcFmOleT3qsx9MD89RROKgSj oUKqPOaDU73S4Mw xOh95iUoxpRRoZvO70VAHhBlCAXAWYGaE3AVjvk4t6pCNkdV5i TfXwrRhQjIg0MsWY1mAx2Z0ODMMcbpfRalYZdaM6xUTnfoTPEz 4FBUCBSSnAwFXTBGCdQ96BouirOInWQ4bVUplerTOPWR12r9fr 9rjNdqvGpJfoVOCan9RchZtBgQgVYKB7Pd5YJ5HpXIWQVh6YCA cZ8TaBWizRK9UmvcludXncKLqkzjwmM6iFailPDoevplrIaGLv Qzo CgDWKZ9F5GKdzh6YKIbsoHJ0VOt3zY9ZzQ7XuGve5TBY/a75Ea2cryTNcxVF3eARUCBJFWDgqmlcrXVymZ7spvpTJ8mvrnm DRm8x2pwOH Zzul1Gm0Vl1InBNQ/B4kGBiBVgmns9rljvI9WrUMkyRxey8ak8pe0Nw2qJTK/WmscsDpvH75r3jLvmDVKdakgtoW21oWKgQGIVQFhPokW4GOWKK 9ZjrCvx8aRbLCVWnqy0QCWW6JRqo95ks/hd8z6f1WHXmY1yg0aokfIU4Jqn3KlIVldCPpQqwDT3epywTq77 JQUWS6kYxOOuebnyV9e8/3huu8tpsJqU4JqP K91KvoF8ky4Akxzr8cD6/0KIelYr2SZGRhvc1LTY0AhEmlkctw17yO65pWwa35SYsLNSa0A wjpzfLbxwDrpTAcPTHRzbEgtkepVWpPBYrd5vB6312Ox2zQmg1 SvGlKBax48NqmsAKNWTSnHOkcySu5KKVchZOBiaXQcD//UoGpUjLvm3W6fz2dz2vUW5JqXgWs vHrwaXIpgEI5MuRP/HhgndzuB1OdXD3x3PjK0RGtXDmmHbOaHC6/a97hco5Zzcox3fiu VH8TkiAAkmnAFo1jX o14QIRTnWSW8Vwjrp2UKGAQrwFCKhRio3aHQWo9Vp9/p8LrfbZLOojXqxTilQiQPuh19BATorgNzr5bXOdpGUzvUkpW4U Yr1XRslbkeCBIaXjo8gEuebHoxDbxqMQe8ajEBuk/ijE4JpPZcd0FKOFho8g9zoTDHYKsU76Sina18jAs05oOEO4CuG 4a348CrHN4nS7xl3zDr3FqDBoxqMQw655AD29FMAN9pT3sFOFd SqYDoul9OQ7qhVfOYJc8waryU5wzfujEGsVg0pwzdOLcXQeS9T VjSEGezJhnZnHElI3xCnN2e aV0vlht iEPu8Lo/bZLOqjXo4IJBS5SHzMAowxGCnBOtUmOqwASbMYE2Kj4bUYqlOB QcEJkVnpXAlmWCwJwfWEdOZ85JYCk8qvGmC3x8Q6MMwm/ AQCMcEIhLBAkqFGCCwU4J1knvDNj9QrqkdMtwQAkHBILzPU4KI IP9IstMt1lAVn2SAOvoPQLmBNUkq2uTOx 5EA4ITO4epHF4tZQ32CnBOom deR SfkNSTCBn6qA/4BAnf AQPNvBwTaXU6teUwGu ZpDNCndmuibrjIMpfXOlPVYKc11sfPP2LcWRmJGujJVe6galSi V6mMOuNvu atTjs6BnZYnfqvESZXZ9GwtqltsNMa6 BSp F8oGeVUECbX4 BdbvwBVg4UYSe/UWHWiHvbnmtkw6VIbcO9MU6 joFlzq5/c2Q3PB3o/CwZXb/NhsTegMWglMyZBiEb2a7SIrWTlPPx0tTrINLPfyIhE8npcCvh3 2PafE3YNG5UbCZclIypt7NqWqw0xTr4H5JvSlEnxaNB6eUKcbP jbI7HYQQxNrxEMSUhKijT/OhJrgCuMGeYvG/KME6rlp0CWB6dLrBU9EpwJOjOAcavcVoczp86HRAq3k8mo2cD9 FsUnqnTUoa7LTDOgQJiI5N8BSJChC3zP9KeZvFT3kdxCyL0xtD JPbmU7NKvXAClGA96n3r4FJ/6hCEG KvwJBaItOrteYxq8Pu/TVmGTpORAEnfce/O0gvEd/sSHrOicqQXlgH90uixgGUG7kCT076dtg8Xq/b4zHbxyNT6pRA chlpNWd6O2klPGw0wjrVWxDJcsCOxppNdyhMk9VYPz1198iU3o 9bq f8hqTQaJTCdRwNGByOG1wgz01jsSjBOs90pF eQOxwGX lPxATckhQL 1191SrXRH Rg/GhAr/9oQJNBqlcNwdGANF59TSWDnRKs98pEfbJJYB0FCUi9lwKSAkNQ SUoVQEcDqo16k83i8ri9Pq/VYUehbIDylCo/2cxTyWD/Q 9k BuhUn1yUc9kzqcGl3qEwsJtya7AoHJ0VPe7A2CtjvFQNv6AZRD KJsEeG7TZMQU87JRY65Oae B mZRccHMqKcBXjo5q5f6AZVYz8ZhvfygbtZQrTzDmUknqSNqCv5 2U7J4DP9Z7pIl8rQ5M9UgGHNzDBAUIoWzMjvFjvtGJUXID2PJx oZLDYP9V2s96p3mE022CDOEjeoTCQjXQYEBxciIVq4c0409seV xj40E9KFCgdQw2J9gfbJ7V8JrGiHW0XcjbGoMLyZ8CgpwFUJky xM9Nk9WX1VAedLMeQSlpD5h44lvPUIQRzjBIswNPDAR6gm3gQI BCoz75X9dfXW5/Xts/DspzWgnJeyXj4nyyR6w9wnW SiCFkcMLxC/hpJVrBYGlI6uAgKRKEAvscG7aT0eP2U15gMUngravKb5dFmx Q12J9gnasQkrjZMRKsg6kexeyFR0CBSBQYVInFOsX4fnn0VpTH bPdTXqJXClRgyz/dlkdvJyXplpjfYR0Nl97JbDmfaIQ9Fetgqk8kHVwHBUhXYPytq F8P HZ7Pb/GsTHpxRDHZgJbHn87ifS iEOGIbDOVQifCuXYa4YiwMSeD QACoACk1VAoBJLdEqNyWC22zzjlDfZ/NHKxDrFINjyv4E ecMJhMZ6HMheyTLDBpjJzka4HxSgQgGBWizV aOVWcZjUro8bhPEl1cIcYM96eJ/TYj1GMke3t4HDwwVkxPyBAVIUWBILZbqVePx5W3 PJutxFRXqtg2llRSfp2Ujisx/ICanisw2IpKdMPMgEF4qDAkMp/iohu/BQR4omATDj3NUnfTnoK1tGg6ZVNbu9jr2xkooAEtbzBRduaymu d4IGJw4SEIkAB0hUYHj8rSmceszntiPJjVrNyzH 694AikWFISG8pyjAZ306KCOtchbB/fB01vA2OyxrmtgsN/W/ktFeyLPjNkAAFQIHkVWBYLZUb1Oh0bwzDHC7nmNWkHNOKNLKUo XzSvZ0UKdbxYceRjHIko/2/LRbj14mJMFj/n32s//PJw5X7Oy42comPQBoUAAWSXQGeXCj0U16jtxjtTgeivMFqUoxT nqeYxBkMtJICGezltU5a1SpMZSaNdWJeE GbM3FIyDaR5OA97eYznXO/rluwsT73QhcxQ0iDAqBAyijAU4iEGpnCoDFYTPbxgJR2l1NvMS kMGqFGmlyURwZ7soRijwnraLfMRHAPOTozTwzl/9zXOjzEVQgravs3newIeRtcBAVAgRRTYEAhEmlkijGtwWr6fdj h8eDyYR0ACZciuTY7xop1JDfyzPSNn186USTIHunwsnzWP/b0/f375s8PtnaLh9tFfrjDP1AAFGCgAgOKEZFGphzTjlnNDpfLh2E 2p0NnMcroGlw id5OIgfraFAioHeJQ0ecOHa/95N9PZUsy9 /bz5X13 2rn/14TYGjmZoMigACgQr8NsRIk Cy1ud9Aoujxvs9A8UQybWUVdN5JM539D/Vn73xaah9wqbuQrh8Qe9K/ezgnsXroACoAAowFeO/HYcoMXpdnl9PhRcXqpXJfBo72TZ7Eg 1nukIyGDhbWJJIu2daStq119uO1CY//CrIYTD3ph IICoAAo8FQF/GGHtYTg8uNhh7WmeAeXT5a3k8jHesioA9/82JFzcbiSZfn l 638poWbWs4DkyHdQVQABSISoHxgJR yj8JLo/CDlMfXD4pNjvGCevX23nPb2R9WQZ71WGJGBQABUhW4Neww0a92 Y4Hl7dqTHqJXjmoGn3qnwKTvYH mx2pwnq/PLDnzjUa3yts//xA62RFhPtBAVAAFIhcgUHV6HjYYT/lUdhhsx2FHSaH8vjaKW0jO1KCda5CiDY7op44U9P3U31/9kX1sQf8r0 0v5XX1C0ejryT4E5QABQABaJWAA8ub/EHl/e6/WGH8eDyUdryyBVD27eTqML6 BF6vxrs/yhu bC4deHmzjdzWv6W3fi37MbzDf1RdxI8CAqAAqBA1Aqg4PLa8eD yXq83uuDyNF87pQrrvbKRFSWsbWc7LzT2X2/ntYkkEN4r6oEID4ICoABFCgypJb8Fl7d7fT6n2/VbcHl5 ODydN7sSBXW8f0w64 3z1xX /qO9szjQ6zxmAEUdQ9kCwqAAqBAjAoM/RZ22OoghB026kIGl6ftMdaUYx2pvO2n0SV5HS9srP 0BF5BClxMjnEgwuOgAChAkQK/BZc3 oPLYz6Hy0UMLo vnVJUetTZUoj1rRXdGRvq/rq54cfq3kqWuYanrOEOfn4QdsIA1kEBUCApFRgPLu8PO2z7Ley wTG9vH3a2CMYG6BR2mCqsX2nl/XnV4/P1A4du90xbU1NwWffPve0vbqpfexTiwCTlgI7acIAHQYGUVIAn Fwk10hGNXqq1G 0uDMPsLqdhPOywSCNLbNhhqrCee6Er90IXig/zj K2//fv2k2n2C1DgpTsYGgUKAAKMFYBdLwE79eww4Tg8k6H3mKUo Dy49Ft4yYRVVj/4lDbkbs9qBnLd7F2XFTHrUlQECgACoAC8VQg OCgMMHlh9VSqutGFdZfz25cmFX/QVHL uPtz66u3faT H4Pv1cGbyGBBwYUAAVSUIGJItcigg8oRka0ckJweZ/NH3bYKNOrh9US0ilPFdYvtXBLb/ZtO9v5r9LWl7ewnl1dP2d93Yub6h/3D5LeBsgQFAAFQIGEKxCe7MTqoeDyKqPOaDU73S7feNhhnXlMp leTEnaYKqzj 9a5CmEly1zF1rPFw/c5fGLbIA0KgAKgQMoowJGORE52Yqv5/rDDcj/lbSi4vDfG4PJxwnqbiHJ3ElEmSIMCoAAoEH8FOJLR/qhCDROr6g8ur3sSdtiLB5ePOOxwPLBeXusErBO7DdKgACgACkS oAAourzbqTTar2 P2eL2WX4PLKwWq0CeMUoL17HNdJdc51b3 BdI2kaS81hlhA A2UAAUAAWSXYEe2Qh1TQgILu/2evxhh016ie5J2GFKsH7sfu mUx0bfuxEWIcgX9T1MeQMCoACdFOgVxalkz2KhviDy uVGtOT4PImu5USrBMrV8U2ANaJgkAaFAAFUl4BjmS0VyaKfzMF arFEp6IK6/0K4e7L7Gc ezx3Q/MrW1s/3N3y5ZG2vqAjk LfbCgRFAAFQIE4KBDdrhhSKkYV1jmS0TdzGqt7 adqDScfiY7e7c272E1KjSETUAAUAAWSQoFEkZ1CrH9Q1MJVCGE bTFKMP6gkKAAKkK5Af3xDweD1pwrrnSND7xS0/O/Bjm9PyS42DbUJh/AiIQEKgAKgAHMUIB7sHJ9WU4V1rkKYc5792YGOv27unPd13X/9z8P/PQCR1lMwFEZ8himUAgokrwLxd8VQiHWuQljdr8G3wUCcr Qdl1BzUAAUiEWBOJOdKqx3i4c/KGpZsrNjRWlP0WV26U1OswCCrYO1DgqAAkxUoF8ujCfZqcL6J/9hFV1i/ sA793C9pX7W1/PbrzdPRDL1x08CwqAAqBA8irAkYwGh2WnqDlUYX3pzqamQcGqw/x9N7hchfD17EZYNaWoCyFbUAAUSAoFeqQUBhUgKkAV1j/Y3ZJ7oWv10ZGc871chfCtvKYGPjhhmPjnJ3G0QRoUAAXioABVW GdLhrPOsPfdMj3/bf1//c/DtUfb49AYKAIUAAVAAZorEAcnO8lYX3u0ff3x9t2X2Wdq q61D19oNnMVwkdwIlLMIZhpPlKheqAAKBChAn4nu2Q0wpuju41 krB 927vlTOfK/azXsxufW1M3e33zGzsa3ytszq EyAHggQEFQAFQwK9AkmGd N1SyTJfbtfe6hr4sbr3SiuP BGkQQFQABRgsgKUkp1kax3vp Ir7Pd392w6xf6pvh /CAlQABQABUABpAB1 x0pwfq/SlsXbW1Y cPQ6sNdGd/UrTnSBh0JCoACoAAoQFSgn7JA5ZRg/e28plreKDrrrm5g8K9ZDZ0jEOoLvIqgACgACvxOAYpCPFKC9Q9 3tzzmjuDRYN4tbCZ R0EaFAAFQAFQAClAhZOdfKzf6R74v58 mvVV/aLtHV8eaftXaevao223uga6RsFg/90XNQxrUAAUAAWo2BhDPta5CiFreOjQPVlu5fCOn7o P9i6ZGfTrK9q0zNroQtBAVAAFAAFAhQgfSc7JVjnKoQXW8w3Oq UP /hXWnk/VHECmgG/JkSBfvkw/AMFQIGoFaBu2pLriqEE6yU3OLPXN89cV/fq1ob539StKGFRJwfkHF6Bfvlwn2yoTzbUK0UTZ9cAACAASURB VBX8 k8i6IV/oAAoMCkFfps aDb1y4fDz7soPiXxECVKsL58V3PeJe3qw12nHvexhgVv7WyKop HwSIwKIKD3SgU94kGOmN89wusSceEfKAAKRK1A9wiPI b3iAd7pYI 2RAVcI9x1qPHKcH623lN 6qMW8/27L/hd7 8U9B8lw3B1uO9Xuq30CUCjpjfJeK2C3pb RzWQHcLr6uZ2wn/QAFQYFIKtPC6WAPdrXxOu6C3S8TliPm9Ej/ZSaEwnglHOkKKN4YSrG872/n6js4LjaOLtzUs39W8eFsDXm9IxEeBfvlwr9TP9M7hPoFsxOa0 Y/ADCoACMStgc9oFspHO4T4/2aUC0g12 mKdqxBmVYhqeMrqXv7BWz1do T7oeIDx QtpU821CMe7BL2t/LZwPSY5zJkAAo8UcDmtLfy2V3C/h7xIOkGOyn7HUm21jed7EAorGIbanhKrkJYxxt8ZUtDVSc4YeL qhOmTDXHE/HZBb2Nfx5PxCClQABQgQ4HGvo52QS9HzKcC67GTnWSsf3Wsffn 3zT3S4Sq2oYqt/7mZO3t93Y6fupLX7E3SmvdKBd0jvFY p7a7hYxhDHmAAqDAEwVqu1ta ZzuEV6vlJJD3ziS0V6ZKGr4kIx1rkKYd7H7z58/PnBHuv380LQ1NYfv9ERdOXgwOgWQY71LxGUNdD/ubHoyGCEFCoACZCjwuLOJNdDdJeJS4V6PbtYTnyIf6/53kRq5f1lVm5bZcJnlP58a/sVZARzrLbyuRx2NZAxjyAMUSHEFWltb6 rqghtZV1fX2toacP1RR2MLr4tqrPfIojzSmnys3 fwL7N4 28OTV1d//mB1sJL7OxzXacf98UZbUwuzo91iaBLxG3mdj5sbwgYkfArKAAK BCtQV1eXlZVVX19P/AhdDMb9w/aGZm6nH sS8jfDENkV3cYYkrG /VzX7PV16Zm109bUzVzX MqWhiW5Te8XtYArhthVVKcB68SZCWlQIEIFAsheX18fDHqUVfy wHtVOdpKxzlUIe2X 7YxtIgmKt041wiD/YAUA6xFOY7gNFAhQAKG8oaEhDNMxDIsb1tGumMmGZScf6zhlAO u4FHFOANYD5ir8CgpErgACelZWVkPDhA7MeGIdkX1SG2MA6ym4 ogtYj3wOw52gQIACONYD/OzE2 KM9cnahYB1wDpxuEIaFGC0Asi9TisnDJHpEUZmpxDrlSxzm0hK rBOk46MAWOuMJhM0PloFQi6ZBm DibNvPQAakZAdsA7WerSTAJ4DBVJIgQCmo5ahi8FkT7gTJjzcK cQ6HhYm4NsGfqVaAbDWU4g20JQ4KTCp15ESjnWuQtgjnfBlJcA 6WOtxmjZQDCiQMgrQAevIOuyTiTiSQL4D1gHrKTPXoCGgQJwUo A/W0fbHgJdRKcR6DU9VxdZT7XCA/IMVSGEnzLp1686fPx nuQvFgAITKEArrCMCcCSjeAwZwDpY609GrsfjmTJlynfffffkE obx fwpU6YcPnyYeDFRaRzrH3zwQUdH6FDyDeM/iaohlMsEBWiIdWS2I4c7YB2w/mQaIqynpaVZrVb8amFh4Z/ 9Ce6Yb2np8duD32SX9H4D15/SIACpCtAT6zjf7hTiPU2kaSSZcFLgkTcFIjaCYOwvnLlyp9//hnNBI/Hk5GRsXLlSoR1r9e7a9eu9PT0xYsXP378GN1z6tSp fPnz507d8 ePehKZ2fnkiVLZsyY8emnnyqVSgzDPv/888uXL6NP33nnnUePHmEYNmfOnI0bN86YMWNkZITNZi9dujQ9P f2bb76x2WzoTvS/3W7fsGFDWlraJ5988sEHHyAnzJtvvslisTAMu3jx4oIFC2bNmr Vt2zaPx7Nx48Zp4z8bNmzAMEwul3/00UdpaWnvvPPOwMAAhmEVFRWZmZlr1qyZOXPmihUrzGYzhmEOh yMrK2vmzJkLFy68fv06Kvfy5csvvPDC/PnzafKVRtQE0olVgLlY5yqEgPW4oZxYUIxYv3LlyocffoimTXV 19XvvvZebm4vQduzYsY8 shkMnV1dc2ZM8doNFZXV7/22msGg0GtVs bNw9Fpl60aNHdu3fdbnd2dvbGjRvDYD0vL89gMJjN5oyMjHv37 jkcjszMzJKSEuKk3b9//0cffaTRaLq6umbPnk3EukKhSEtLk0qlRqPx73//O/o2Ilrrb731VkVFBYZhJSUl//znPxHWp0 f3tHRYTQaly9ffu7cOQzDiouL//3vf5tMJj6fP2/ePJFI1N3dPX/ /OHhYbVavXjx4qYmOI2E2CdMTzMa6xDti0jbuKVjxLparc7IyBA KhRiGrV69urKycsuWLQjrb775Jv5qxsqVK6urq7VarUwmQ7P88 88/v3DhAoZhS5YsKSsrs1qtTqdTp9OFwfrw8DCGYXfu3Hn33XdRJp 2dnW 99RYRG0uWLKmtrUVXcN86sta1Wu2MGTNqa2s9Ho/JZEKmNxHrPB7P5XJhGNbT0zN//nyE9a grlht 5aNGitrY2dPHBgwdCoXDnzp34Hx9Hjhz5/vvviVWCNMMVoDvWy2udF1nmiyxzFdvQLpK2k/q6P2A9bignFhQj1pVKZWFh4d69e7VabXp6usVi2bhxI8J6enr6 zJkz08d/pk2bVllZ6fF4SkpKli1btnTp0rS0NGRKi8XizMzM2bNnf/7552Kx KlYP3369F/ 8heUbVpa2sKFC4nUyMjIEAgE6EoA1jEMa2pq uijj bMmZOTk4O87TisMQxjs9mfffbZ0qVLX3vtNRzr69evR7nt2bOn oKAAw7D09PSRkRFioWvWrHnuuedQlWbMmIH 5iDeAGkmK0B3rCOmX2SZy2ud D8c9DU8VSysr2SZibiBdHwUiBHrCoVCIBAsWLDg PHjmzdvxjDs22 /RVj/29/ 1tXVRZzPJ0 e/OKLL5A3fPXq1efPn3c4HDweD8Mwl8tVVFS0atUqDMPWrFmD uJvnVkrd fXvlypXEbInppUuX4qZ0ANa1Wi362jAYDJ988smPP/6IYRiOda/XO3v2bPQsl8sNg/U333wTL4LH42k0mpycnKNHjxKrAWlQAFeA7lgnggYRvIanrGLr Edlx0BON shZD1gnyhu3dOxYxzDs3XffRT5oItZ/ OGHFStWGMZ/du3apVAo9uzZ88UXXxiNxpaWlnnz5p09e9ZkMk2fPh2tZ544cQ LxuqioKDMz02KxVFdXT506FV8yRVgfGxubO3fugwcPPB5PfX39 iRMn8PmDYVhpaem6deu8Xq9cLn/hhReIvvWGhoaFCxcqFAqXy7VmzZojR46g zMzM51Op81m 9Of/tTW1qbRaLZv3z537lzkhAm21ktLSz///HOr1SoSiRYsWCAQCFgs1osvvigQCBwOx nTp8OE3iZWFdIMUSCZsB6SO4j17SJpMO7DG/XtIikEcQwpKdUXScF6ZWXla6 9hmYpbq07nc78/Pz58 fPmTNn9 7dGIZpNJqPP/54 vTp//rXvzZu3FhWVoYcI4sWLZoxY8b7778/NDSEYZhSqXzvvfdmzJixatWqpUuXBmAdw7DOzs5ly5ZNnz79nX fe6e/vJ9IB7YRZsGDB //49//IOIdQzDysvLMzIy0tPTv/rqK/RHw Dg4IIFC7744gsMw3766aeMjIznn3/ 4MGDr7zyis1mq6ioCMa60 nMzs6eN2/eSy 99ODBA1R6ZWXlyy /PGPGjDVr1hgMBmKVIM1wBZIe6xMxCDftEe7H/zeMv1lq A33 hqeEmLzTiQgddejxjrD5yo0HxSIUIGUxXoNT4UgXsU2lNc6q9j 6Kraf4 QuulLHvhTOGbAe4eSE20CB6BRIQazX8FSI4zU8ZQ1PmcJ8TNKm Adajm6vwFCgQoQIpiHWuQlhe6wSg0xb6gPUIJyfcBgpEpwBgPQ WDrtAW6KhigPXo5io8BQpEqEBqYr3S//oSBN2l6TcWYD3CyQm3gQLRKZCaWK9iGwDrtLXZAevRzVV4ChSI UIHUxHoNTwVhvADrEc4BuA0USDEFUhbrEO8FsJ5icxWaAwpEqE BqYr1NJCmvdcKrRvQkO lOmJ6enmPHjoUf8UqlEoXNCn9bFJ/m5eWp1eooHqTbI8ENoU60OLT97NmzLS0tcSiIhkWkJtZhjyM9g Y5qFQvWPR5PVVVVfn5 bm5uRUWF0WhEUW0R1nk83qlTp0JOM3IJpdFoUFQZDMOCaRiyAt RdZLFYGo0m9vyDGxIsmsfjQbFxYi OihyI/QJY7xJxeyWCfvkw3WgQ/elIsHWdbn2J1ycWrF 6dKmsrEyr1drt9ps3bx46dIiIdbvdLpfLQ/IimFAhb4vwIpfLPXDgALo5mIYRZkLWbQcOHOByubHnFtyQYNGc TmdWVpbT6Yy9OCpyIPYLYD0FsQ6bYXCM0i0RNdZtNtvWrVv1ej 0igsfjyc/P1 l0uBMGT2AYVldXV1BQkJeXd vWLRTMCzlhLBbL7t27A L3jo6OlpaW5uTk/PjjjyhsVlNT07lz5yoqKnJyck6cOOFwOHAMtbS05Obmbt26tai oCFnr1dXVRUVF fn5eLZisbi0tDQ3N/fChQvooAz88dzc3Hv37u3atSsvL6 7u/vu3bs7duzYvXs3HrS9oaEB1fzOnTvoqby8vGvXru3Zs2f37t0B gcaKi4u3bt2am5uLDkhqa2srLCzMy8u7cuWK2 3GC0WJ4Jx1Ot3hw4dzc3MvXbqUm5uLvEkDAwPFxcUFBQVXr14l eq7kcnl fn5WVlZ fr5UKvV6vTdv3szNzS0qKmpsbCSWVVNTc/LkSXTl3r17KOhxcN3q6urweMi3xn QnpWVlTt27NBqtXieIRUYGhrau3dvbm7umTNnHA5HQL cPXv22rVrBw4cyMnJuXHjBp4VExIp64SpYhtgMwzdgI7qEzXWh 4eHd 3aFTwtcZrjiYGBgaKiIq1Wa7VaDx061N7ejgxPt9t96NCh /fvEzOx2Wx5eXkcDsftdldXVx88eBBFeczOzh4ZGbHZbAcPHmxu biY QrQK8/LyLl686HA4uru78/Pz0dGj fn5vb29brf73LlzAcXl5ubevHnTbre3tbVt2bKlurra5XLV19f/8MMPGIb19/fv3bvXarWaTKb8/HwUGTgvLw8dwDQ8PIwfx4HXB7fWhUJhQUGBQqGw2 0nT55E32f4bSFzLisrq6qqQpXZvHmzWq222 05OTkcDsdqtQZgHcMworVeXV199OhRq9Wq0WiKioqIfzFoNJpt 27Yho760tLSvry9k3SbC vXr161Wq8/nwysfrIDFYsnJyZFKpR6P5/jx49XV1RiGEfvl7NmzJSUlY2NjarV6x44dKpUKzy3lEymLdRQZ hp5cY3itosY6j8cLOEcUzU c5nji8uXLaJ5jGCaVSgUCAcL6hQsX0OmgxInd3d2NTuHAMMzn8 Xl5SmVyqampp9 gndhhuS FNEfOTl5SFkuFwu5KDo6elB3iEMw0ZGRkpLS/EHMQzDjWKESBStV6fT5eTkYBhmsVjwKLunTp1CHnyie Tw4cMBBjuO9cuXL9 9exeVJZfL8/LyiOUG52yz2bZs2YJ7VFApvb29eOXDO2H27t07ODiIimhoaAgQ tqSkpLe312QyZWdnu1yukHWbCOvBS9DBCrhcLpzUdXV1KB4ysV ITpiDBw8Sv3WIsqRkGrBO01cxUxj9UWN9dHQ0Qmu9oqICnUaNT 1qlUpmVlbV9 /bTp0/jF1Givr4eQQH9Wlpayufzm5qa8It37ty5efMm8SkiPnDiuN3ur Kwsu93e0NCAHCO5ubk5OTnIV4M/jmMd3Y oqtfrs7OzMQzzer33798/cODA/v37c3Jy0F4OvAh0zkZA03CsnzlzBl/ItdvtWVlZRD9McM4qlQr9eYHqhkppaWnBAR0e6zk5OTh/ /v78S8DlNv9 /crKyvb2tqQ4CHrFh3W8c7t6uo6cuTI/v37d 3aFR7rhw4d6uvrw7sg5RMpi3XYDEPbL4aosW6z2bZt24Ybsx6P p7CwUK/X40Y6nrh27drDhw/R7B0bG1OpVEqlcseOHTqdrri4uL29nTixe3p60LlFuLUulUpjw TqHw0Hn2xFLwdPhsV5fX3/69Gnkjj9z5kww1n/44YeJrPVr167du3cPFSSXy5H5j5cbnDPS0 v1onsQ1vv6 o4fP46uhMd6SUkJcT0g4PsS/blQUVGBjusLWbeGhoaLFy isvA/iYjfYXjliReRAlKptKioCG2FamhoAKzjWmEYluJYR6fi4Sdc05 Z0jKpY1FjHMOzq1asnTpwwGAx2u72qqipgJwyO9eHh4d27d v1eofDcezYMRaLhRNKKBTu3LlzbGwMnwYOhwO5wr1e7 PHj5GfJzzWh4aGCgsL0ZHTOHFwax056/v6 rxeL5/PR25xvLjwWL9z586ZM2dsNtvQ0FB fj7y6efl5d27d8/tdvf29u7YsQOVi2dYVlbW2Njo9XpHR0cLCgpUKpXT6Txz5szVq 1fxezAMC5lzWVkZOjBvcHBwy5YtyLe c dOiUTi8/kePHhAXDJFf0xs2bJFLpf7fL6ampqysjKbzabX64uLizkcDrE4 DMPQcq7FYsEwLGTdeDxecXGxxWJRKBRFRUVoMQDXk5hbsAJ8Pr oqAi5zg8dOoT wiD2C9EJA9Y6rQgT/QZHrkJY fuDrXHEw0kaie3jWLCOvLS5ubk7d 48e/YsojNOczyB1jyLiop27tyJTonDsY5h2K1btwLOI5VIJAcPHtyx YwfaPYkeD OEQUuvyBzGMYRjHbnUDxw4kJ2dfeDAAZlMRiRUeKybzeZjx45l Z2eXl5dXVlbW1NSgzSGXL18uKCgoKioKdiZ0dXXt2LEDfXl0dH QUFxfn5uZWVlYG7MAJmTPaCVNYWHju3LmCggLiTpji4uJLly4F YB3DsGvXrmVnZ4 Ojnq93lu3bhWM/6B6EpuJdMb/DMIwLLhuPp/vwoULO3bsKC0traioCI/1AAV8Pt lS5dycnJKSkpu37595swZDMOI/QJYT8ENjlyFsF0kvRiK7BAFLHmxHgAOhvyKf3MkV3urq6vr6up IqXOSKkBK26PIJJWdMAheIeGeWK4xvPRYrPUohngKPJJ0UPP5f DqdrqioCF8IibEXkk6BGNsb4 Opj3WuQoiOM0VOGPQ/nJ2UwK8WwPpkJ23SQW1kZCQ7O5ssU50OERom22WJvZ hWAc/DGA9sRMPSgcFqFOAoViHsL2AdeomFeQMCiRWAUZgHb1xSnTCQC AwwHpiJx6UDgpQp0DqY338pCRzANPLa53gh0kU2cG3Tt18hpxB gRR/HamGpwpeLCXyPVFcY3i5gHVADyhAqQKpaa2HpzlOdtgPk5AvGM A6pVMaMgcFUgrrTzXPcaCjBPhhAOuAAFAg9RRIHayj80sDwP3U XxPCNYYXCtZ66nEEWkQrBVIH6yEjwDwV6 CHif93DGCdVgiAyqSeAimC9ehMddgPE3 mcxVCwHrqcQRaRCsFUgTr0ZnqyJZPCNqYXChgnVYIgMqkngKpg PWoTXWEdfDDxPk7BrCeehyBFtFKgVTAeiymOvhh4sx0cMLQav5 DZVJSgaTHeoymOjLYYadjPOEO1npSo0QoFCZR/aVSacBxIklU airmvRYj9FUx7fKXGSZ44k2JpeVcKzfvn37o48 mmjOVFRUfPXVVxN9muzX165d 9NPP0XdCoFA8N///d8OhyPqHKh70OfzZWVlTZ8 /dKlS3gpjx49Wr16tc/nw68wIZHcWCfFVCeSHc7Di8P3TdRYX7ly5ZTf/yxYsCDkLBUKhRcuXAj5EYZhEWJ99 7dZWVlITMJn3/IR6K 6PP5GhoaMjMzDx48GJxJa2vrm2 mZaWtnLlSpVKhW7Yt2/frFmzXnzxxbNnzwY8EiPWly9f3tnZiWFYX1/f8uXLZ86cuWzZMjabTSxFIBAQewmdlYphWFVV1ZIlS9LS0og3Y xh2 vTpKVOmBH9VaDSasrKyRYsWud1u9IjL5dq6devs2bMXLFiADi8 lZtXU1LRw4UKNRuN2u vHf9CnGzdu/OWXX4h3pnw6ubHOVQhxKJOSuMgyA9mpJnvUWMdn49SpU0UiEf5 rcOLhw4fLli0Lvo6uRIj10dFRuVweMpPw Yd8JOqLX3zxxbvvvrt8 fJ9 /YFZOJ2u fPn3///n2n07lz584NGzago6gXLVokl8uHhoYyMjICmBsL1uvr6/G/chYuXHjlyhWfz3ft2rVXX32VWLGmpqZ3331X99sP8oHcuXPnhR deqKmpCThfW61Wv/DCC8FYZ7PZc fO/e6776ZMmYJj/cyZMx988IHJZBocHExLS PxeMRyf/7551WrVqErheM/KN3Z2fnyyy8T70z5NGDdGfx9AGSnlOzkYt3lchUUFKSlpS1cuP D06dMYhp07dy4tLe1Pf/rTwoULMQyTyWT/ Mc/kF2JQBAS64cOHZozZ87ixYvXr1 PnDC5ubmlpaUYhqnV6hUrVkyfPv2NN95obW0NyN/pdG7evBlV4Pbt2xiGDQwMvPzyy3v27Jk9e/Zrr72G0 fEiRMZGRmzZ88uLCxEboHu7m5kwG7YsMFqtWIY9vbbbzc2NhK5 o9VqMQzLz88PxnpPT89f//pXdLNQKExPT8cwbNu2bfjB0Pv27fv JueFYP3bs2NKlS61W68mTJz/77LNPP/30ueee /TTT9ls9ptvvjlt2rT169d7PB7is1u2bEFHe9vt9rKyMtQEm802 ZcoUIqyvXbu2fv164oMYhr3xxhv19fUBFzEM27Bhw4kTJ4Kxbj abHQ6H0WgkYn3r1q140/75z39ev34dz/D69eszZ86cOnVqRkbG119//dz4z9dff41uWLhwYU9PD35zyicA6yGwDiuoSYT1AwcOfPjhhzq dTigULly48OHDh/7ApARrfenSpRUVFT6fr6Sk5OOPPw7phGlqasrIyOByuVKpdPny 5QFY37p1a15ensfjuXr16gsvvBCQf0FBwfr1610uV0NDw7PPPu twOAYGBqZMmVJRUWGz2XJycjIzMzEMq6mpeemll0QikV6vX758 S //GI2m fNm3f37l273Z6ZmVlSUoJhWHNzs8lkCuZOSKw/fPjw3XffRTdbLBaE1y1bthw fBhdvHjx4tq1a4m5IazfuXNnwYIF6G RkydPzp07t6 vT6PRLFmy5K9//evIyIhKpXrllVeqq6uJzy5ZsqSlpYV4xeVylZeXf/DBB8SLJ06cWLx48csvv/z6669fvXoVwzCdTjd16tSsrKzZs2cvW7YM/55raWl55513TCZTMNZRhgFYv379 nvvvWcwGAYGBubPnz8yMkIst7Ky8osvvkBXiNY6hmFfffVVsD K GyKpZMe62QtmRJtdsB6EmF90aJFuBl46tSpdevWBWCXx M5nU4MwzgcTkZGRkis79y5c/fu3Whu40umuLW c fOdevWKZVKn8 HUEj82hgdHcUPYp42bdrw8PDAwMC8efNQbo8ePULuoK1btx44c ABd7OnpaWhouH379vLly9GVjo6OpUuXonTI/0Ni/fbt2zhSHQ7HlClTjEbjzZs3X331VZlMNjo6umjRomCsb9 PT09HXfOnDx5El8iLiwszMvLQxX49ttvy8vLiZWZNWvW8PAwfu XEiRN//OMfn332WTwr9FFdXd3 /fsHBwevXr06derUgYGBvr6 KVOmnD171uFwHDt27PXXX8cwzOVyvfHGG2w2G30hBfvWMQwLwL rH4/n444 R4/7QoUN4TVAiDNa///77PXv2BNyfwr8C1kNY63AkXhJhfebMmThrHjx4gEBJxC6bzf73 v/ 9ZMmSxYsXT4T1zMxM3JoLxrrNZisoKHj eeXLVuGFgCJ atUqk2bNi0Z/3nmmWeGhoYGBgZQQRiG1dbWLlmyBMOw1atXV1ZWElFy6tSpP//5z2njPzNnznzppZeInwakQ2L94cOH BeD1WqdMmWK1Wr1 XzIK7VkyZINGzbs2LGDmNXatWufeeaZadOmdXd3o tErBcXFxcWFqLrmzZtQi4X/PHp06eLxWL8VwzD3G737du3n3/ eaIThnhDZmbmyZMne3p6kEMMwzCv1zt16lSlUllWVrZ161YMwy LH r59 zIzM00mk0gkWrx4MYvFIpYVBut79uwpKCgg3pzaacA6YF1IKcS DMyfXt/7GG2/gey1OnTqFFs1w7Ho8nlmzZrW2tmIY1t/fPxHW8/LycFM6GOv9/f0Oh8Pn892/fz8tLc3j8eD5Yxi2atWqw4cPIzd0WlraRFjPzc3Ft7LIZDKBQH Dr1q0VK1ZEyJeQWO/v70dOIQzDhoeHZ8yYEZDbp59 itwg PW1a9cWFRWdPXt28eLFiMWRY/2FF15AXwZjY2PETYRz584VCAR4EVeuXMGXmr/77rsff/xRq9U yz6G8mhHWNRjN//vy//OUvU8d/pkyZMnXq1ACrP9haf/vtt vq6lBBRUVFxcXFeKEYhoXB tatW3/44QfizamdTnqsR3hiBtHHEkkaIgoE45isK Ri/ejRox999NHY2JhEInnllVdu3bqFPNQvvvii0Wi0Wq1//OMfW1tb1Wr1tm3b5syZE9IJ09zc/Oqrr r1eofDsWLFigDf nvvvXfo0CGv18tms5977jmXy9Xc3IzyxzBs fLlR44cMRqNFy5ceOaZZ/h8fkhrvaWlZeHChWKx2GQyffzxx fPnzcYDHPmzLl//77b7a6rqzt /DiGYSwWy2w2B0OHiHWfz/f48WOv1 vxeBYuXHjjxg2Xy5Wbm4v7W5CzqLi4 OWXXw6wo5Fv3efzrVixAhmwkWP9008/vXv3LoZhNpstLS3t4cOHPp vvr5 9uzZUGGUiAAABbpJREFURBdKfn7 d99953Q6BwcHZ82a1dvbi2HYJ598snfvXqfTWV5ejv58wdtItN aFQiH t1cw1jdt2rR582an04mWAYhLpgFY379//7p169AXCYZhK1asQKvZeKGpnQCsh7bWwb1OFsSD8yEX6y6Xq7C wMGP8B99m7nA4li9fjqzXc fOzZs3b/78 QcOHHj55ZetVutEO2Gef/75v/3tb5mZmQFYl0qlH3744bRp01599dUHDx5gGEbMv62tbfHixWlp aTk5Oe 9915LS0tIrGMYVlFR8dJLL6Wnp6MNNhiGdXR0vP3229OmTVu2b FlfXx GYUuWLGlqagqGDhHrBoMhIyNDo9FgGNbZ2Yn20qxYsUKtVqMHy 8rK0tPTMzMzpVJpQFb4Thi5XD5r1iwWixU51svKyrZv344ybGp qWrJkyYwZM5YuXYqcIS0tLWh5wGw2r1 /Pj09/aWXXsJffVIoFCtWrJgxY8b7779PNO0DnDB79 4tKirC6xzgW9dqtV9 WV6enpGRsZ//vOfgJeMiNY6n89//vnn0Z9ubrc7LS0NbSjCc07tBGAdsJ58TpjUnpO0bZ1SqVy4cCF uAgfU8/bt2ytXrgy4SIdfq6qq0GYkOlQmPnVIeqzX8FSROFWiuCfYzIQr pCgQu7Uen7kBpQQrUFpaii9CBHy6YcMGtLs04HpifzWbze 8807AVsjEVikOpQPWQ1vrsBmGFIKHzASwHoeJTVERHo/nu I3rS8YJCbrfHP01U4vLlyzT8sqFaDcD6hFiHVdOQUI79ImCd6l kN TNcAcA6YB186wyHADQ/1RRIeqyTG8SR6IKHzTCxG YhcwBrPdUoAu2hmQKA9QmtdXCvh4Ry7BcB6zSDAFQn1RRIeqyT HpuXaLDHjjDIIVgBwHqqUQTaQzMFAOvhrHVYNQ2GcuxXAOs0gw BUJ9UUAKwD1mHJNNVmNbSH4QoA1sNhHVZNY7fNg3MAa53h0IHm U61AKmCdipDryMMOTphgKMd BbBO9ayG/BmuAGA9nLXeJpLGTjHIIUABwDrDoQPNp1oBwDpgHXzrVM8yyB8 UiKsCqYB1ikKuV7IsAWYm/EqKAmCtx3WKQ2HMUwCwPqG1DlgnBeLBmQDWmccZaHFcFQCsT4h 1WC8NJjIpV/xYlwq6RNwWXtejjsa4jncoDBRggAKPOhpbeF1dIm6vVNAvHyZl 2pKYyR8iyYuikOuwXhqJ FHcg2OdNdD9uDPESUAMmHfQRFCAQgUedzaxBroB6yFsdsB6FMi O8JFeqaB7hNfK59R2t1jtNgoHOGQNCjBMAavdVtvd0srndI/weqWCCKdkPG LyFrnKoQXWWZiLJfY0 BYp7Sb 2RDHDG/XdDb2NfRM8Sz2KwMm3rQXFCAEgUsNmvPEK xr6Nd0MsR8/tkQ5RO5OgyjxTr7SJp7Cgn5gBYj67DInyqTzbUIx7sEva38tn1 nNaH7Q13mx5X1d2/UXPv uO78A8UAAUmpcCNmntVdffvNj1 2N5Qz2lt5bO7hP094sHkxjpXISTXww5hAyIEdHS3Ifc6R8zvHO 5r5bMbe9tru1sedzY96mh82N4A/0ABUGBSCjzqaHzc2VTb3dLY297KZ3cO93HEfHqul3IVwkitdQS XdpG0iq0nxSEDjvXoeB35U32yoV6JgCPmd4m47YLeVj6HNdDdw utq5nbCP1AAFJiUAi28LtZAdyuf0y7o7RJx/UyXCOhpqk8a6zhT2kXSGp4yFr4D1nExKUr0y4f9ZJcKesSDHDG/e4TXJeLCP1AAFIhage4RHkfM7xEP9kr9TKfh1kYEk8lZ60QA1f BUsYQAI2YFaeoUQHBHfO VCvz/JPAPFAAFJqkAmjvjNKcz0BFJosF6jEAvr3XCeil1HA Tc798GP6BAqBA1AqEmVy0 mhyWI8d6GgzDKyX0moQQGVAAVAglRT4/6nqChif1c6BAAAAAElFTkSuQmCC
I think I checked the share of the Southern Moldovan districts relative to the whole country's population and it was something like 20% with Gagauzia and 15% without it. So they should naturally be rarer.

[Aspirin]

All of Moldova is a big corcitura.

In your case is true.

[Ion Basescul]

I think I checked the share of the Southern Moldovan districts relative to the whole country's population and it was something like 20% with Gagauzia and 15% without it. So they should naturally be rarer.

Yes, I've just checked and there are 16% without Gagauzia in the South and 25% in the North. The majority is in the Centre and specifically Chisinau.

[Ion Basescul]

In your case is true.

For you Ukrainian mixes who got acculturated as Moldovans are not corcituras because you are a big Slavic simp. But it's true, like it or not.
When you will test and find hundreds of Ukrainian and Polish matches, you will also accept that.

Sent from my Redmi 4X using Tapatalk

[Aspirin]

Very Southern for someone from Odessa oblast but then again, he is more native to the region than the (Russo-)Ukrainians living there.

Bolgrad and Ismail districts have a big Bulgarian presence, especially Bolgrad who was their center in Budjak, and still is.

[Aspirin]

For you Ukrainian mixes who got acculturated as Moldovans are not corcituras because you are a big Slavic simp. But it's true, like it or not.
When you will test and find hundreds of Ukrainian and Polish matches, you will also accept that.

Sent from my Redmi 4X using Tapatalk

Strange you tell me this, since my arguments on results of some people from my area who are visible northern for region, I said they can be Ukrainian admixed because I know local ethnic background. Person from Briceni is Northern because half of the district is Ukrainian, part of them are even native for the region, who can be themself Balkan admixed already like Carpathian Rusyns, is similar to the South, but more complex.

And yes, I don't like then Moldavians are darkwashed by some Romanos or Serbs who chose especially these very southern results from the South, and claiming what they are "pure" , the rest are bastards mixed with Ukrainians/Russians, I saw this so many times. I take all this as a personal insults.

Nothing strange to have Ukrainian/Polish matches, when Eastern Slavs are part of Moldavian ethnogenesis since XIVth century.

[Ion Basescul]

Strange you tell me this, since my arguments on results of some people from my area who are visible northern for region, I said they can be Ukrainian admixed because I know local ethnic background. Person from Briceni is Northern because half of the district is Ukrainian, part of them are even native for the region, who can be themself Balkan admixed already like Carpathian Rusyns, is similar to the South, but more complex.

And yes, I don't like then Moldavians are darkwashed by some Romanos or Serbs who chose especially these very southern results from the South, and claiming what they are "pure" , the rest are bastards mixed with Ukrainians/Russians, I saw this so many times. I take all this as a personal insults.

Nothing strange to have Ukrainian/Polish matches, when Eastern Slavs are part of Moldavian ethnogenesis since XIVth century.

There is nothing wrong with being Ukrainian admixed, just like with any other kind of mixes.
I am probably the most qualified from here to draw the assumption that everyone is fairly mixed, since I have seen the most results over the years, be they on GEDmatch, 23andme, MyHeritage, FTDNA, etc.
What I find funny is that you accept East Slavic mixes as Moldovan, whereas shunning on Moldovans from the South, who come from monoethnic villages, like those from Caplani. This is hypocritical and denotes personal insecurities.

It is strange, when the same Moldovans from over the river don't have the same weight of Ukrainian and Polish matches. This leads to the conclusion that people here are more multicultural genetically and assimilated such people in the past.

[Aspirin]

There is nothing wrong with being Ukrainian admixed, just like with any other kind of mixes.
I am probably the most qualified from here to draw the assumption that everyone is fairly mixed, since I have seen the most results over the years, be they on GEDmatch, 23andme, MyHeritage, FTDNA, etc.
What I find funny is that you accept East Slavic mixes as Moldovan, whereas shunning on Moldovans from the South, who come from monoethnic villages, like those from Caplani. This is hypocritical and denotes personal insecurities.

It is strange, when the same Moldovans from over the river don't have the same weight of Ukrainian and Polish matches. This leads to the conclusion that people here are more multicultural genetically and assimilated such people in the past.

South is the most heterogeneous region of the country, with plenty of land colonised recently by many ethnic groups from south of Danube in recent time. These ones from other side of Prut river are mixed with individuals from other regions, they don't have a coutnry in the past 160 years, today they are just Romanos, even by look today they are not much different from Wallachians from the south.

And arguments about monoethnic villages is useless, this one is monoethnic too: http://localitati.casata.md/index.php?l=ro&action=viewlocalitate&id=1211

Eu te rog frumos, nu borî moldovenii.

[ixulescu]

Eu te rog frumos, nu borî moldovenii.

:rotfl:


Ion Basescul puts it very well in words:


What I find funny is that you accept East Slavic mixes as Moldovan, whereas shunning on Moldovans from the South, who come from monoethnic villages, like those from Caplani. This is hypocritical and denotes personal insecurities.

[WeirdLookingFellow]

South is the most heterogeneous region of the country, with plenty of land colonised recently by many ethnic groups from south of Danube in recent time. These ones from other side of Prut river are mixed with individuals from other regions, they don't have a coutnry in the past 160 years, today they are just Romanos, even by look today they are not much different from Wallachians from the south.

And arguments about monoethnic villages is useless, this one is monoethnic too: http://localitati.casata.md/index.php?l=ro&action=viewlocalitate&id=1211

Eu te rog frumos, nu borî moldovenii.

There was safe to no Wallachian immigration into Moldova, except for the known Vrancea-Galati-Braila-Buzau area of intermixing. Even so, most Moldavians from said area do not know to have southern origins.

Whatever documents we have earlier than 1900 show at most some Transylvanians moving in.

Edit: And just to add, there's nothing wrong with looking like Wallachians, although I'd say we diverge.

Te rog eu frumos, nu borî moldovenii.

[Leto]

If it's an old mix shared by the entire community or most members of it, then the person is considered pure/full/unmixed. If it's recent (2-3 generation ago) and not characteristic of most of the community, then it's a mixed person. At least that's how I'd describe it. Like my mother for instance. Obviously she's not a full Slav from the Dniepr area but she is a full Russian without known foreign ancestry. What kind of mixing happened there centuries ago is another question and unimportant in terms of ethnic/national identity.

[Ion Basescul]

If it's an old mix shared by the entire community or most members of it, then the person is considered pure/full/unmixed.

That's the thing, it's not characteristic for the entire community from there. Even though some of them are unmixed, it is obvious that some kind of assimilation happened in their localities to differentiate them genetically from people from the same region.

[Ion Basescul]

South is the most heterogeneous region of the country, with plenty of land colonised recently by many ethnic groups from south of Danube in recent time. These ones from other side of Prut river are mixed with individuals from other regions, they don't have a coutnry in the past 160 years, today they are just Romanos, even by look today they are not much different from Wallachians from the south.

And arguments about monoethnic villages is useless, this one is monoethnic too: http://localitati.casata.md/index.php?l=ro&action=viewlocalitate&id=1211

Eu te rog frumos, nu borî moldovenii.

Tu ii borasti, incercand disperat sa-i faci slavi fiindca urasti ca-s mai aproape de romani comparativ cu restul moldovenilor. Tu iti insulti propriul popor moldovenesc, numindu-i pe cei din Caplani boraturi, doar fiindca se intersecteaza genetic. Rusine

Mate, when we have confirmed people of Moldovan and Slavic heritage from the North, some of which were even given to me by you and Leto, score the same as some Moldovans from the same area then it is pretty clear that the latter group is far from being unmixed.


I disagree with you. The Southeast corner of Moldova is very homogeneous. Anyone who doesn't believe me (you obviously know that very well), zoom in there and look for the village of Caplani. The Southwest obviously has a higher share of minorities. In that aspect, it is similar to the North of the country.
And I shall also remind you that as Southern as they are, on average villagers in Caplani look in no way different from people in Briceni for example.

https://upload.wikimedia.org/wikipedia/commons/f/f1/Harta_etnica_a_Republicii_Moldova_-_2004.jpg

[Leto]

That's the thing, it's not characteristic for the entire community from there. Even though some of them are unmixed, it is obvious that some kind of assimilation happened in their localities to differentiate them genetically from people from the same region.
Which community are you talking about? That high Baltic Moldovan from the North? Pretty sure most people are like him unless they are transplants from other regions.

[Leto]

I'm not an expert in Moldova and Romania but I'd guess Southern MD being about as southern as Southern RO is kind of natural. One region simply being a continuation of the other.

[Ion Basescul]

There was safe to no Wallachian immigration into Moldova, except for the known Vrancea-Galati-Braila-Buzau area of intermixing. Even so, most Moldavians from said area do not know to have southern origins.

Whatever documents we have earlier than 1900 show at most some Transylvanians moving in.

Edit: And just to add, there's nothing wrong with looking like Wallachians, although I'd say we diverge.

Te rog eu frumos, nu borî moldovenii.



Big words coming from a corcitura. /s
Who gave you the Moldovan pass?

Sent from my Redmi 4X using Tapatalk

[Aspirin]

Te rog eu frumos, nu borî moldovenii.

To late for this, Moldavians from western side of Prut river are just simple Romanos today.

[ixulescu]

To late for this, Moldavians from western side of Prut river are just simple Romanos today.

"Wait, it's all Romanian?"

"Always has been."

:lol:

[WeirdLookingFellow]

To late for this, Moldavians from western side of Prut river are just simple Romanos today.

https://i.ibb.co/QF1bVBP/39hoto.jpg (https://ibb.co/TBFvGX4)


Big words coming from a corcitura. /s
Who gave you the Moldovan pass?

Sent from my Redmi 4X using Tapatalk

My grandma when she started giving me wine when I was 7.

[Aspirin]

Tu ii borasti, incercand disperat sa-i faci slavi fiindca urasti ca-s mai aproape de romani comparativ cu restul moldovenilor. Tu iti insulti propriul popor moldovenesc, numindu-i pe cei din Caplani boraturi, doar fiindca se intersecteaza genetic. Rusine

Mate, when we have confirmed people of Moldovan and Slavic heritage from the North, some of which were even given to me by you and Leto, score the same as some Moldovans from the same area then it is pretty clear that the latter group is far from being unmixed.


I disagree with you. The Southeast corner of Moldova is very homogeneous. Anyone who doesn't believe me (you obviously know that very well), zoom in there and look for the village of Caplani. The Southwest obviously has a higher share of minorities. In that aspect, it is similar to the North of the country.
And I shall also remind you that as Southern as they are, on average villagers in Caplani look in no way different from people in Briceni for example.

https://upload.wikimedia.org/wikipedia/commons/f/f1/Harta_etnica_a_Republicii_Moldova_-_2004.jpg

Ei îs sudici că au gene sudice de la coloniștii balcanici, se vede și în mediile făute de tine pe regiuni. Expresia mea se referă la cum îi caracterizezi pe moldoveni în general, centrul și nordul nu au așa diferențe mari genetice, numai sudul, fără el moldovenii îs destul de omogeni, ceea ce nu-i de mirare.

[Ion Basescul]

Which community are you talking about? That high Baltic Moldovan from the North? Pretty sure most people are like him unless they are transplants from other regions.

These are all North Moldovans of unmixed heritage. I am changing the colour of the text to red for those whose ancestors must have assimilated East Slavic minorities.

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;"><google-sheets-html-origin>
<tbody>
Origin
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan
N_Atlantic+Baltic


_Ocnita
25.71
33.18
17.93
8.07
10.11
2.87
0.67
0
1.40
0
0
0
0
58.89


_Ocnita
27.82
33.86
14.65
5.86
12.83
0
0.56
1.14
0.51
1.49
0.26
1.01
0
61.68


_Ocnita
23.63
32.50
17.85
7.85
14.19
0
0.87
1.52
0
1.42
0.18
0
0
56.13


_Ocnita
25.95
29.20
17.32
9.88
11.62
2.80
0
1.67
0.24
0.53
0.73
0
0.06
55.15


_Briceni
25.05
32.68
12.58
12.66
13.32
0.16
0.10
1.33
0.85
0.70
0
0.23
0.35
57.73


_Briceni
22.85
36.30
13.11
9.12
13.06
1.59
0
0
2.69
1.27
0
0
0
59.15


_Edinet
20.49
37.99
14.24
10.49
12.58
1.15
0
0
2.42
0.33
0
0
0.31
58.48


_Edinet
24.08
31.35
16.41
11.30
10.19
2.94
0
0
2.35
0.23
1.04
0.12
0
55.43


_Glodeni
21.77
34.40
15.61
12.12
9.73
1.40
0
0.83
2.20
1.11
0.82
0
0
56.17


_Floresti_1/4Ukrainian
24.07
36.26
9.74
8.78
16.00
1.82
0
2.47
0.19
0.54
0.12
0
0
60.33


_Balti
28.97
31.72
14.36
5.12
13.53
2.10
0.74
1.39
1.35
0
0.72
0
0
60.69


_Balti
25.72
33.02
15.85
7.24
11.12
2.58
1.28
0.51
1.65
0
0.68
0.36
0
58.74


_Soldanesti
22.78
33.73
15.02
8.09
15.57
0.30
0.50
0.55
1.55
0.18
0.30
0
1.42
56.51


_1/2Falesti_1/2Chisinau
24.90
34.32
14.54
5.42
14.28
2.29
1.58
0
2.07
0
0.34
0
0.25
59.22


_Falesti
26.22
34.90
12.85
10.54
10.96
1.08
0.09
1.83
0
0.52
0.41
0
0.59
61.12


_Rezina
28.97
34.84
12.39
7.67
12.05
0.73
0.44
0
1.37
0
0.51
0.71
0.34
63.81


_Eurogenes
25.76
33.38
14.65
8.61
11.03
1.75
0.40
1.16
0.95
0
1.62
0
0.69
59.14


_Balti
24.58
31.08
13.08
6.06
16.71
3.33
1.41
0
2.32
1.43
0
0
0
55.66


_Balti
22.22
35.15
17.59
12.03
7.30
1.37
1.25
1.49
0
0.81
0.09
0.42
0.28
57.37


_Balti
26.86
31.42
17.53
9.84
10.26
0
0
0.55
1.85
1.00
0.14
0.11
0.45
58.28


_Balti
21.11
32.22
15.74
9.12
16.60
2.12
0
0.81
1.11
0.03
0
0.93
0.20
53.33


_Balti
27.89
28.60
15.36
10.43
13.25
0.43
0
0.20
3.51
0
0.33
0
0
56.49


_Balti
26.74
30.55
12.91
10.08
14.54
0.86
1.10
0.20
2.93
0
0.09
0
0
57.29


_Balti
24.50
30.63
15.90
8.79
15.10
0
0.38
0.09
1.22
0.93
1.08
0
1.38
55.13


_Balti
24.09
32.64
12.57
7.50
13.82
1.08
3.54
0
2.17
0.86
0.88
0.49
0.36
56.73


_Balti
26.10
29.55
15.22
10.17
15.75
0
1.18
1.62
0
0.39
0
0.02
0
55.65


_Balti
23.29
32.20
12.93
7.08
18.01
0.79
1.47
0
0.85
2.61
0
0
0.77
55.49


_Balti
22.65
36.26
13.43
10.10
11.95
0.03
0.81
0
1.38
1.56
0.72
0
1.12
58.91


_Balti
25.83
27.54
16.04
11.41
12.98
2.80
1.24
0
1.25
0.00
0.91
0
0
53.37


_Balti
28.04
32.24
15.49
6.59
13.52
1.22
0.08
0
2.23
0.42
0.17
0
0
60.28


_Balti
23.81
34.31
12.54
6.21
16.13
1.21
2.19
0.86
2.42
0
0.30
0
0
58.12


_Balti
24.72
27.82
17.45
10.27
13.86
0
3.07
0
2.47
0
0.34
0
0
52.54


_Balti
18.18
36.07
14.32
12.57
10.84
2.87
0.06
1.99
1.21
0
0.70
0.65
0.55
54.25


_Balti
23.47
32.69
13.87
7.89
16.16
0
1.20
0
3.13
0
0.55
1.03
0
56.16


_Balti
24.56
31.94
17.63
6.74
13.24
0.97
2.04
0.68
0.94
0
0.60
0
0.66
56.50


_Balti
23.13
36.19
11.05
9.44
16.58
0
1.15
0
1.84
0.16
0
0
0.45
59.32


_Balti
27.74
31.59
13.10
6.73
15.41
2.30
1.12
0.97
0
0.66
0
0.38
0
59.33


_Balti
24.22
25.35
14.14
12.99
16.10
4.36
0.31
1.40
0.72
0
0.42
0
0
49.57


_Balti
24.09
34.13
11.71
8.79
14.63
3.51
1.25
0
1.51
0.07
0
0
0.30
58.22


_Balti
25.19
33.48
11.17
9.90
12.99
1.06
2.56
0
3.06
0
0.60
0
0
58.67


_Balti
27.62
29.15
13.57
8.81
13.32
3.43
2.95
0.30
0.37
0
0.47
0
0
56.77


_Balti
27.07
28.68
13.68
9.21
14.50
2.21
0.92
0
1.47
1.46
0.34
0
0.46
55.75


_Balti
22.03
33.01
13.83
8.75
17.44
0.67
0.97
0.00
2.96
0
0.34
0
0
55.04


_Balti
24.52
36.71
16.02
7.75
10.27
0.89
1.08
0.72
2.03
0
0
0
0
61.23


_Balti
26.21
36.67
13.51
6.70
11.85
1.81
0
0.12
1.81
1.31
0
0
0
62.88

</tbody>
</google-sheets-html-origin></google-sheets-html-origin>

I wouldn't have any objections to those scoring more than 60%, if literally all my half Slavic and half Moldovans from the North scored close to that.
You can see that below.


<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
Origin
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan
N_Atlantic+Baltic


_1/2Drochia_1/2Polish
22.11
39.39
12.60
7.73
8.94
2.67
3.34
0.58
0.76
1.18
0.69
0
0
61.5


_10/16Ukrainian_6/16Moldovan_Balti
27.18
36.15
11.95
9.09
9.72
2.43
0.98
0
2.06
0
0.22
0.23
0
63.33


_1/2Drochia_1/2Ukrainian
25.56
37.62
13.38
6.59
11.84
0.66
1.22
1.12
0.60
0.38
0.42
0
0.60
63.18


_1/2Russian_1/2Moldovan_Edinet
24.12
37.75
12.57
3.55
14.93
2.29
0.71
0.43
0.48
3.17
0
0
0
61.87

</tbody>

</google-sheets-html-origin>There are others who also score in the 60-63% range who are halfies, but they are from Chisinau. This is not the case for those above, where they originate in the North.

Local Ukrainians from the North and Transnistria are also not that far off, with one exception. All are confirmed through their family trees and contacts, so I am not just guessing from the surname.

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;"></google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 85px"><col width="68"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"><col width="100"></colgroup><tbody>
Origin
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan
N_Atlantic+Baltic


_Ukrainian_Ribnita
24.82
40.06
14.14
5.78
8.66
1.42
1.15
0
1.83
0.97
0
0.65
0.49
64.88


_Ukrainian_Balti
23.24
42.33
14.39
7.53
6.33
0
1.22
0
2.70
0.62
0.07
1.10
0.47
65.57


_Ukrainian_Floresti
29.08
43.59
11.28
4.32
8.26
0
1.73
0
0
0.99
0.30
0
0.45
72.67


_Ukrainian_Riscani
25.50
39.14
13.68
10.09
7.49
0.57
0.24
0.75
1.75
0
0.39
0.10
0.30
64.64


_Ukrainian_Dubasari
24.49
40.51
12.86
5.03
10.83
1.66
1.63
1.55
0
0.54
0.12
0.77
0
65

</tbody>
</google-sheets-html-origin>

[Ion Basescul]

Ei îs sudici că au gene sudice de la coloniștii balcanici, se vede și în mediile făute de tine pe regiuni. Expresia mea se referă la cum îi caracterizezi pe moldoveni în general, centrul și nordul nu au așa diferențe mari genetice, numai sudul, fără el moldovenii îs destul de omogeni, ceea ce nu-i de mirare.

Doar pe tine si alti nebuni care isi masoara craniile ii deranjeaza ca cei de la sud is mai sudici, sau cei de la nord mai nordici si asa mai departe. Eu pur simplu le spun lucrurilor pe nume, asa cum ele sunt si fara bombonele.
N-avem nicio dovada ca cei din Caplani s-au amestecat cu popoarele din Balcani.
Ambii stim foarte bine ca gagauzii si bulgarii au venit dupa razboiul ruso-turc aici, ceea ce e destul de recent. Avem desigur satul cela din Basarabeasca, dar diferenta acolo e ca se vad originile colonizatorilor in familii si in dictionarul lui Arbore localitatea e mentionata ca colonie bulgara.

[Aspirin]

Doar pe tine si alti nebuni care isi masoara craniile ii deranjeaza ca cei de la sud is mai sudici, sau cei de la nord mai nordici si asa mai departe. Eu pur simplu le spun lucrurilor pe nume, asa cum ele sunt si fara bombonele.

Asta pentru că tu te identifici ca rumînoid, mie ca moldovan mă deranjează. Eu te rog frumos, nu mai borî moldovenii.

[Ion Basescul]

Asta pentru că tu te identifici ca rumînoid, mie ca moldovan mă deranjează. Eu te rog frumos, nu mai borî moldovenii.

Eu is sigur ca majoritatea moldovenilor nu-s autisti.

[Ion Basescul]

From Chisinau (Ukrainian and Jewish mix)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


22.65
31.64
13.12
5.13
21.19
2.28
0
1.44
2.24
0
0
0.09
0.22

</tbody>
</google-sheets-html-origin>
Compared to a 2/4 Russian, 1/4 Moldovan/Romanian and 1/4 Jewish

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


24.20
34.21
14.76
5.73
15.71
0.68
2.65
0.52
1.54
0
0
0
0

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Chisinau_ind


6.82247023
Pomak_Plovdiv


7.74417200
Serb_B&H_Herzegovina


8.24380980
Serb_Serbia_South&East


8.48469210
Romania_Moldavia_North


8.49279106
Romania_Maramures


8.50239378
Moldova_average


8.61359391
Moldova_Centre


8.74822839
Serb_Serbia_Vojvodina


8.75460450
Serb_Serbia


8.89403171
Serb


9.03235850
Croat_B&H_Herzegovina


9.03634882
Serb_Serbia_West&Central


9.04463377
Croat_Istria_&_Kvarner


9.06225138
Bosniak


9.12664232
Bosniak_Sarajevo


9.13830947
Serb_Croatia_Lika


9.14039933
Bulgaria_Northwestern


9.32978564
Serb_B&H


9.36963713
Serb_Croatia


9.44323038
Serb_Croatia_Kordun&Banija


9.53353030
Serb_B&H_Bosnia_proper


9.59910933
Croat_B&H


9.61755166
Romania_Moldavia_South


9.62373109
Serb_Croatia_Dalmatia


9.64991710
Croat_B&H_Bosnia

</tbody>


<tbody>
Distance to:
Chisinau_ind


8.61359391
Moldova_Centre


10.44431903
Moldova_South


11.35435159
Moldova_North


12.82306906
Ukrainian_Ivano_Frankivsk


13.91399296
Moldova_South_Gagauzia


15.85208504
Moldova_Bulgarian


17.98628644
Moldova_Ukrainian


19.72761263
Ukrainian_Lviv


20.45938415
Ukrainian


25.31424303
Russian_Smolensk


28.70110102
Crimean_Tatar


29.22227062
Moldova_Jewish


29.43600177
Romania_Dobruja-Tatar


31.46243921
Russian_Pinega


36.26812099
Moldova_Roma

</tbody>

Target: Chisinau_ind
Distance: 4.6796% / 4.67962781 | ADC: 0.25x
71.8 Ukrainian_Ivano_Frankivsk
28.2 Moldova_Jewish

-Ukrainian_Ivano_Frankivsk
Target: Chisinau_ind
Distance: 4.7822% / 4.78215501 | ADC: 0.25x
63.2 Moldova_Ukrainian
36.8 Moldova_Jewish


<tbody>
Distance to:
Chisinau_ind


7.20500520
Moldova_Nisporeni


7.43976478
Moldova_Soldanesti


8.31163642
Moldova_Ialoveni


8.39306261
Moldova_Eurogenes


8.49829983
Moldova_Balti


8.83547395
Moldova_Cimislia


8.86631265
Moldova_AneniiNoi


8.99340314
Moldova_Floresti


8.99824983
Moldova_Causeni


9.37019744
Moldova_Ungheni


9.39636632
Moldova_Hincesti


9.58402316
Moldova_Chisinau


10.11024233
Moldova_Falesti


10.52719811
Moldova_Briceni


10.55288112
Moldova_Calarasi


10.88141994
Moldova_Ocnita


11.01701411
Moldova_Straseni


11.55260144
Moldova_Telenesti


11.61751264
Moldova_StefanVoda


12.08427904
Moldova_Edinet


12.11577484
Moldova_Rezina


12.16277518
Moldova_Cahul


12.76440755
Moldova_Orhei


13.30001128
Moldova_1/2Moldovan_1/2EastSlavic


13.51438123
Moldova_Cantemir


13.88687150
Moldova_Transnistria


13.91399296
Moldova_Gagauzia


14.06744113
Moldova_Glodeni


15.85208504
Moldova_Bulgarian


17.98628644
Moldova_Ukrainian


29.22227062
Moldova_Jewish


36.26812099
Moldova_Roma


</tbody>

[Leto]

deranjează
What does this mean? Looks like 'deranged' xD

[Leto]

Can you post the Dodecad components for the Chisinau mix? Rather high Mongoloid for his background (not extraordinary though as even full Jews can score 1-2%).

[WeirdLookingFellow]

What does this mean? Looks like 'deranged' xD

To bother

[Ion Basescul]

Can you post the Dodecad components for the Chisinau mix? Rather high Mongoloid for his background (not extraordinary though as even full Jews can score 1-2%).

This person is from my project (http://geneticaromd.github.io/adn), so I don't have the GEDmatch kit.

[Leto]

This person is from my project (http://geneticaromd.github.io/adn), so I don't have the GEDmatch kit.
That's a cool-ass project. Do you think the Chisinau average would be representative for the country as a whole and the Balti one for the Northern part?

[Ion Basescul]

That's a cool-ass project. Do you think the Chisinau average would be representative for the country as a whole and the Balti one for the Northern part?

Chisinau is the only average where I included Slavic minorities (the version that you are seeing on the website has only ethnic Moldovans so far, but it will be updated to this). It's only normal for it to be like this, because it's an urban settlement.
Perhaps something like Ialoveni or Straseni, which are just on the outskirts of Chisinau are closer to the average.

Same goes for Balti. Being an urban settlement, perhaps the districts around it are more representative of the average there.

[Ion Basescul]

I thought I would upload the David Reich Stefan Voda academic Moldovans from the village of Caplani (https://ro.wikipedia.org/wiki/C%C4%83plani,_%C8%98tefan_Vod%C4%83) in order to compare the results to those that I have in my database. Those are from Admixture Studio and usually between the two there are minor differences, but I am still curious.
In any case, I will post each result in a separate post. Don't take the Oracles too seriously, as the averages on GEDmatch are not the best.

MOL-005_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


21.01
25.42
16.62
11.92
18.51
4.11
0.58
0
0
0
0.50
0.51
0.82

</tbody>
</google-sheets-html-origin>
GEDmatch

# Population Percent
1 Baltic 25.52
2 North_Atlantic 20.62
3 East_Med 18.51
4 West_Med 16.63
5 West_Asian 12.16
6 Red_Sea 4.14
7 Sub-Saharan 0.76
8 South_Asian 0.61
9 Northeast_African 0.58
10 Oceanian 0.48


Single Population Sharing:


# Population (source) Distance
1 Bulgarian 3.46
2 Romanian 4.26
3 Serbian 7.12
4 Greek_Thessaly 10.86
5 Moldavian 11.19
6 Croatian 14.32
7 Hungarian 14.99
8 Tuscan 17.29
9 Italian_Abruzzo 17.39
10 Central_Greek 17.44
11 Austrian 18.09
12 North_Italian 18.14
13 East_Sicilian 18.58
14 West_Sicilian 18.97
15 East_German 19.81
16 Ashkenazi 20.15
17 Ukrainian_Lviv 20.4
18 South_Polish 21.51
19 Ukrainian 21.83
20 South_Italian 21.92


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 69.1% Croatian + 30.9% Cyprian @ 1.42
2 60.3% Central_Greek + 39.7% Russian_Smolensk @ 1.61
3 56.9% East_Sicilian + 43.1% Ukrainian_Belgorod @ 1.66
4 64.9% Central_Greek + 35.1% Lithuanian @ 1.73
5 58.8% East_Sicilian + 41.2% Russian_Smolensk @ 1.9
6 58.5% Central_Greek + 41.5% Ukrainian_Belgorod @ 1.91
7 52.8% South_Italian + 47.2% Ukrainian_Belgorod @ 1.96
8 74.3% Moldavian + 25.7% Cyprian @ 2.01
9 54% Central_Greek + 46% Ukrainian_Lviv @ 2.01
10 60.9% Central_Greek + 39.1% Estonian_Polish @ 2.03
11 54.7% South_Italian + 45.3% Russian_Smolensk @ 2.08
12 52.4% East_Sicilian + 47.6% Ukrainian_Lviv @ 2.09
13 58.4% Central_Greek + 41.6% Southwest_Russian @ 2.13
14 63.4% East_Sicilian + 36.6% Lithuanian @ 2.15
15 56.8% East_Sicilian + 43.2% Southwest_Russian @ 2.19
16 58.9% Central_Greek + 41.1% Polish @ 2.25
17 62.7% Moldavian + 37.3% East_Sicilian @ 2.25
18 61.4% Central_Greek + 38.6% Belorussian @ 2.27
19 59.5% South_Italian + 40.5% Lithuanian @ 2.28
20 69.7% Greek_Thessaly + 30.3% Ukrainian_Belgorod @ 2.33

[Ion Basescul]

MOL-008_Stefan_Voda

Admixture Studio

<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


18.42
25.95
16.17
15.45
17.83
3.82
0.56
0.56
0
1.25
0
0
0

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 Baltic 25.97
2 North_Atlantic 18.47
3 East_Med 17.64
4 West_Med 16.07
5 West_Asian 15.55
6 Red_Sea 3.89
7 Amerindian 1.33
8 East_Asian 0.59
9 South_Asian 0.49


Single Population Sharing:


# Population (source) Distance
1 Bulgarian 5.73
2 Romanian 6.83
3 Serbian 9.67
4 Moldavian 12
5 Greek_Thessaly 12.08
6 Croatian 15.43
7 Hungarian 16.68
8 Central_Greek 17.85
9 Italian_Abruzzo 18.28
10 East_Sicilian 19.29
11 Tuscan 19.43
12 Austrian 20.02
13 West_Sicilian 20.43
14 North_Italian 20.59
15 Ukrainian_Lviv 21.03
16 Ashkenazi 21.14
17 East_German 21.6
18 South_Polish 22.44
19 South_Italian 22.46
20 Ukrainian 22.5


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 75.4% Moldavian + 24.6% Assyrian @ 2.8
2 75.3% Moldavian + 24.7% Georgian_Jewish @ 2.9
3 76.4% Moldavian + 23.6% Kurdish_Jewish @ 2.97
4 70% Croatian + 30% Georgian_Jewish @ 2.97
5 70.2% Croatian + 29.8% Assyrian @ 2.99
6 75.8% Moldavian + 24.2% Armenian @ 3.27
7 73.9% Moldavian + 26.1% Lebanese_Muslim @ 3.32
8 70.6% Croatian + 29.4% Armenian @ 3.32
9 71.4% Croatian + 28.6% Kurdish_Jewish @ 3.4
10 73.1% Moldavian + 26.9% Cyprian @ 3.42
11 76.4% Moldavian + 23.6% Iranian_Jewish @ 3.46
12 76.9% Moldavian + 23.1% Lebanese_Christian @ 3.64
13 58.2% Central_Greek + 41.8% Ukrainian_Belgorod @ 3.74
14 60.2% Ukrainian_Lviv + 39.8% Cyprian @ 3.75
15 74.4% Moldavian + 25.6% Syrian @ 3.76
16 68.6% Croatian + 31.4% Lebanese_Muslim @ 3.96
17 76.6% Moldavian + 23.4% Samaritan @ 3.97
18 64.9% Croatian + 35.1% Turkish @ 3.97
19 71.4% Croatian + 28.6% Iranian_Jewish @ 3.98
20 70.9% Moldavian + 29.1% Turkish @ 4.01

[Ion Basescul]

MOL-015_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


18.27
19.97
19.01
15.32
19.44
4.68
0.12
1.50
0.68
0.54
0
0
0.48

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 Baltic 19.94
2 East_Med 19.24
3 West_Med 18.8
4 North_Atlantic 18.56
5 West_Asian 15.33
6 Red_Sea 4.8
7 East_Asian 1.45
8 Siberian 0.75
9 Amerindian 0.56
10 Sub-Saharan 0.47
11 South_Asian 0.09


Single Population Sharing:


# Population (source) Distance
1 Bulgarian 6.28
2 Greek_Thessaly 7.39
3 Romanian 8.08
4 Serbian 12.12
5 Central_Greek 12.49
6 Italian_Abruzzo 12.79
7 East_Sicilian 13.91
8 Tuscan 14.47
9 West_Sicilian 14.85
10 Moldavian 16.59
11 North_Italian 16.67
12 Ashkenazi 16.68
13 South_Italian 16.98
14 Croatian 19.97
15 Hungarian 20.07
16 Austrian 22.42
17 Sephardic_Jewish 22.69
18 Algerian_Jewish 22.8
19 Italian_Jewish 23.15
20 Portuguese 23.28


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 57.5% Central_Greek + 42.5% Moldavian @ 3.53
2 82.7% Bulgarian + 17.3% Turkish @ 3.7
3 68.4% Central_Greek + 31.6% Ukrainian_Lviv @ 3.78
4 71.6% Central_Greek + 28.4% Ukrainian_Belgorod @ 3.94
5 87.1% Bulgarian + 12.9% Armenian @ 3.97
6 73.9% Central_Greek + 26.1% Kargopol_Russian @ 4
7 54.7% East_Sicilian + 45.3% Moldavian @ 4.03
8 87.1% Bulgarian + 12.9% Georgian_Jewish @ 4.04
9 74.2% Central_Greek + 25.8% Erzya @ 4.04
10 88.6% Bulgarian + 11.4% Georgian @ 4.05
11 50.6% Moldavian + 49.4% South_Italian @ 4.05
12 77.5% Romanian + 22.5% Turkish @ 4.07
13 85.6% Bulgarian + 14.4% Azeri @ 4.08
14 82.3% Romanian + 17.7% Georgian_Jewish @ 4.09
15 69.7% Central_Greek + 30.3% Ukrainian @ 4.11
16 89.4% Bulgarian + 10.6% Abhkasian @ 4.12
17 82.6% Romanian + 17.4% Armenian @ 4.13
18 73.1% Central_Greek + 26.9% Russian_Smolensk @ 4.14
19 87.8% Bulgarian + 12.2% Ossetian @ 4.15
20 86.1% Bulgarian + 13.9% Syrian @ 4.16

[Ion Basescul]

MOL-024_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


19.84
23.81
19.67
11.16
19.93
3.16
0
0
1.21
0.29
0.52
0
0.40

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 Baltic 23.78
2 East_Med 19.97
3 West_Med 19.71
4 North_Atlantic 19.64
5 West_Asian 11.47
6 Red_Sea 3
7 Siberian 1.21
8 Oceanian 0.59
9 Sub-Saharan 0.39
10 Amerindian 0.24


Single Population Sharing:


# Population (source) Distance
1 Bulgarian 2.9
2 Romanian 5.22
3 Greek_Thessaly 8.35
4 Serbian 9.06
5 Moldavian 13.52
6 Tuscan 15.11
7 Central_Greek 15.14
8 Italian_Abruzzo 15.47
9 North_Italian 16.32
10 East_Sicilian 16.42
11 West_Sicilian 16.63
12 Croatian 16.69
13 Hungarian 17.25
14 Ashkenazi 18.14
15 South_Italian 19.55
16 Austrian 20.02
17 East_German 21.78
18 Portuguese 22.46
19 Ukrainian_Lviv 22.9
20 French 22.99


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 95.5% Bulgarian + 4.5% Moroccan @ 2.44
2 62.5% Greek_Thessaly + 37.5% Moldavian @ 2.44
3 61.7% Central_Greek + 38.3% Ukrainian @ 2.45
4 96% Bulgarian + 4% Sardinian @ 2.47
5 95.7% Bulgarian + 4.3% Mozabite_Berber @ 2.5
6 95.7% Bulgarian + 4.3% Tunisian @ 2.52
7 95.9% Bulgarian + 4.1% Algerian @ 2.55
8 52.9% Moldavian + 47.1% Central_Greek @ 2.56
9 79.8% Greek_Thessaly + 20.2% Erzya @ 2.59
10 86.9% Bulgarian + 13.1% Greek_Thessaly @ 2.64
11 95.4% Bulgarian + 4.6% Algerian_Jewish @ 2.64
12 74.2% Greek_Thessaly + 25.8% Ukrainian_Lviv @ 2.65
13 96.9% Bulgarian + 3.1% Bedouin @ 2.66
14 75.2% Greek_Thessaly + 24.8% Ukrainian @ 2.67
15 96.4% Bulgarian + 3.6% Cyprian @ 2.68
16 97% Bulgarian + 3% Samaritan @ 2.68
17 93.7% Bulgarian + 6.3% East_Sicilian @ 2.68
18 97.2% Bulgarian + 2.8% Egyptian @ 2.69
19 93.4% Bulgarian + 6.6% Central_Greek @ 2.7
20 60.4% Central_Greek + 39.6% Ukrainian_Lviv @ 2.7

[Ion Basescul]

MOL-058_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


22.08
23.51
19.95
9.57
19.50
3.24
0
1.74
0.34
0
0.08
0
0

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 Baltic 23.41
2 North_Atlantic 22
3 West_Med 20.1
4 East_Med 19.39
5 West_Asian 9.67
6 Red_Sea 3.22
7 East_Asian 1.86
8 Siberian 0.26
9 Oceanian 0.09


Single Population Sharing:


# Population (source) Distance
1 Bulgarian 3.51
2 Romanian 4.53
3 Serbian 7.71
4 Greek_Thessaly 9.03
5 Moldavian 13.17
6 Tuscan 14.05
7 North_Italian 14.44
8 Italian_Abruzzo 15.65
9 Hungarian 15.92
10 Croatian 15.92
11 Central_Greek 16.02
12 West_Sicilian 16.55
13 East_Sicilian 17.15
14 Austrian 18.25
15 Ashkenazi 18.82
16 East_German 20.1
17 Portuguese 20.21
18 South_Italian 20.21
19 French 20.67
20 Spanish_Galicia 20.69


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 93.7% Bulgarian + 6.3% Sardinian @ 2.58
2 64.6% Greek_Thessaly + 35.4% Croatian @ 2.8
3 90.7% Bulgarian + 9.3% Spanish_Galicia @ 2.82
4 92.4% Bulgarian + 7.6% Southwest_French @ 2.87
5 73.2% Greek_Thessaly + 26.8% Ukrainian @ 2.88
6 92.4% Bulgarian + 7.6% Spanish_Cantabria @ 2.89
7 91.3% Bulgarian + 8.7% Spanish_Extremadura @ 2.9
8 87.8% Bulgarian + 12.2% North_Italian @ 2.91
9 92.3% Bulgarian + 7.7% Spanish_Castilla_La_Mancha @ 2.92
10 91.9% Bulgarian + 8.1% Spanish_Castilla_Y_Leon @ 2.92
11 93.2% Bulgarian + 6.8% Spanish_Aragon @ 2.93
12 91.2% Bulgarian + 8.8% Portuguese @ 2.93
13 92.1% Bulgarian + 7.9% Spanish_Andalucia @ 2.93
14 92% Bulgarian + 8% Spanish_Murcia @ 2.95
15 92.1% Bulgarian + 7.9% Spanish_Valencia @ 2.95
16 95.2% Bulgarian + 4.8% French_Basque @ 2.97
17 92.3% Bulgarian + 7.7% Spanish_Cataluna @ 3.02
18 72.3% Greek_Thessaly + 27.7% Ukrainian_Lviv @ 3.03
19 75.7% Greek_Thessaly + 24.3% Polish @ 3.03
20 73% Greek_Thessaly + 27% South_Polish @ 3.03

[Ion Basescul]

MOL-064_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


16.91
24.06
20.61
12.07
23.58
0
0.52
0
1.03
0
0.29
0.45
0.50

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 Baltic 23.74
2 East_Med 23.49
3 West_Med 20.52
4 North_Atlantic 17.35
5 West_Asian 12.08
6 Siberian 1.06
7 South_Asian 0.53
8 Northeast_African 0.52
9 Sub-Saharan 0.45
10 Oceanian 0.27


Single Population Sharing:


# Population (source) Distance
1 Bulgarian 5.79
2 Greek_Thessaly 7.97
3 Romanian 8.62
4 Serbian 12.5
5 Central_Greek 14.07
6 Italian_Abruzzo 15.38
7 East_Sicilian 15.47
8 Tuscan 15.97
9 West_Sicilian 16.25
10 Moldavian 16.46
11 Ashkenazi 16.64
12 North_Italian 18.04
13 South_Italian 18.3
14 Croatian 19.56
15 Hungarian 20.4
16 Algerian_Jewish 23.19
17 Austrian 23.36
18 Italian_Jewish 23.62
19 Sephardic_Jewish 24.12
20 Portuguese 24.98


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 89% Bulgarian + 11% Cyprian @ 4.67
2 91.9% Bulgarian + 8.1% Lebanese_Christian @ 4.88
3 88% Bulgarian + 12% Algerian_Jewish @ 4.89
4 91.7% Bulgarian + 8.3% Samaritan @ 4.91
5 84% Greek_Thessaly + 16% Erzya @ 4.93
6 84.3% Bulgarian + 15.7% Ashkenazi @ 4.97
7 68% Bulgarian + 32% Greek_Thessaly @ 5
8 92.3% Bulgarian + 7.7% Lebanese_Druze @ 5.04
9 82.3% Bulgarian + 17.7% Central_Greek @ 5.06
10 86.5% Bulgarian + 13.5% South_Italian @ 5.09
11 91.7% Bulgarian + 8.3% Lebanese_Muslim @ 5.09
12 92.6% Bulgarian + 7.4% Assyrian @ 5.1
13 89.5% Bulgarian + 10.5% Italian_Jewish @ 5.11
14 84.4% Bulgarian + 15.6% East_Sicilian @ 5.12
15 93.2% Bulgarian + 6.8% Kurdish_Jewish @ 5.16
16 93.2% Bulgarian + 6.8% Iranian_Jewish @ 5.17
17 82.6% Greek_Thessaly + 17.4% Southwest_Russian @ 5.18
18 91.2% Bulgarian + 8.8% Tunisian_Jewish @ 5.18
19 91.3% Bulgarian + 8.7% Libyan_Jewish @ 5.18
20 82.7% Greek_Thessaly + 17.3% Ukrainian_Belgorod @ 5.19

[Ion Basescul]

MOL-065_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


20.23
23.81
21.69
7.85
19.98
3.35
0
0
2.91
0
0.19
0
0

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 Baltic 23.7
2 West_Med 21.88
3 East_Med 20.04
4 North_Atlantic 20.03
5 West_Asian 8
6 Red_Sea 3.23
7 Siberian 2.95
8 Oceanian 0.18


Single Population Sharing:


# Population (source) Distance
1 Bulgarian 5.96
2 Romanian 7.13
3 Greek_Thessaly 9.33
4 Serbian 9.96
5 Moldavian 14.41
6 Tuscan 14.59
7 North_Italian 15.26
8 Central_Greek 16.18
9 Italian_Abruzzo 16.44
10 West_Sicilian 16.71
11 East_Sicilian 17.17
12 Croatian 17.24
13 Hungarian 17.7
14 Ashkenazi 18.53
15 South_Italian 20.18
16 Austrian 20.21
17 Portuguese 21.15
18 Spanish_Galicia 21.58
19 East_German 21.85
20 Spanish_Extremadura 22.01


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 89.6% Bulgarian + 10.4% Sardinian @ 4.47
2 79.3% Greek_Thessaly + 20.7% Kargopol_Russian @ 4.86
3 75.1% Greek_Thessaly + 24.9% Ukrainian @ 4.89
4 81.3% Greek_Thessaly + 18.7% East_Finnish @ 4.91
5 78.9% Greek_Thessaly + 21.1% Estonian_Polish @ 5.01
6 74.4% Greek_Thessaly + 25.6% Ukrainian_Lviv @ 5.03
7 64.3% Moldavian + 35.7% Algerian_Jewish @ 5.06
8 81.3% Greek_Thessaly + 18.7% Estonian @ 5.07
9 80.1% Greek_Thessaly + 19.9% Erzya @ 5.1
10 63.3% Greek_Thessaly + 36.7% Moldavian @ 5.11
11 67.8% Greek_Thessaly + 32.2% Croatian @ 5.12
12 66.4% West_Sicilian + 33.6% Erzya @ 5.13
13 81.7% Greek_Thessaly + 18.3% Lithuanian @ 5.16
14 50.3% Ukrainian + 49.7% Algerian_Jewish @ 5.17
15 59.6% Croatian + 40.4% Algerian_Jewish @ 5.18
16 79.6% Greek_Thessaly + 20.4% Belorussian @ 5.21
17 77.9% Greek_Thessaly + 22.1% Polish @ 5.22
18 87.5% Romanian + 12.5% Sardinian @ 5.23
19 79% Greek_Thessaly + 21% Russian_Smolensk @ 5.23
20 81.5% Greek_Thessaly + 18.5% Finnish @ 5.27

[Ion Basescul]

MOL-066_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


21.07
28.94
14.77
9.89
19.66
4.48
0.57
0.61
0
0
0
0
0

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 Baltic 29.28
2 North_Atlantic 20.93
3 East_Med 19.59
4 West_Med 14.66
5 West_Asian 9.92
6 Red_Sea 4.57
7 East_Asian 0.59
8 South_Asian 0.46


Single Population Sharing:


# Population (source) Distance
1 Bulgarian 6.39
2 Romanian 6.43
3 Serbian 7.01
4 Moldavian 9.84
5 Croatian 12.42
6 Hungarian 13.7
7 Greek_Thessaly 13.89
8 Austrian 17.53
9 Ukrainian_Lviv 18.08
10 East_German 18.94
11 South_Polish 19.1
12 Ukrainian 19.31
13 Tuscan 20.22
14 Central_Greek 20.56
15 Italian_Abruzzo 20.65
16 North_Italian 20.81
17 Southwest_Russian 21.48
18 East_Sicilian 21.6
19 Ukrainian_Belgorod 21.7
20 West_Sicilian 22.03


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 60.6% Polish + 39.4% Cyprian @ 2.15
2 57.8% Ukrainian_Belgorod + 42.2% Italian_Jewish @ 2.33
3 76.9% Croatian + 23.1% Lebanese_Christian @ 2.35
4 67.5% South_Polish + 32.5% Samaritan @ 2.35
5 57.7% Ukrainian_Belgorod + 42.3% Algerian_Jewish @ 2.41
6 76.4% Croatian + 23.6% Samaritan @ 2.49
7 51.6% Ashkenazi + 48.4% Russian_Smolensk @ 2.51
8 50.6% Ukrainian_Belgorod + 49.4% Ashkenazi @ 2.54
9 67.3% Ukrainian + 32.7% Samaritan @ 2.55
10 68.2% South_Polish + 31.8% Lebanese_Christian @ 2.57
11 57.8% Ukrainian_Belgorod + 42.2% Sephardic_Jewish @ 2.61
12 57.5% East_Sicilian + 42.5% Lithuanian @ 2.61
13 54.5% Central_Greek + 45.5% Belorussian @ 2.64
14 67.9% Ukrainian + 32.1% Lebanese_Christian @ 2.64
15 50.1% Southwest_Russian + 49.9% East_Sicilian @ 2.66
16 64.4% South_Polish + 35.6% Cyprian @ 2.69
17 64.1% Ukrainian + 35.9% Cyprian @ 2.69
18 53.3% East_Sicilian + 46.7% Belorussian @ 2.7
19 58.3% Belorussian + 41.7% Cyprian @ 2.71
20 58.7% Central_Greek + 41.3% Lithuanian @ 2.73

[Ion Basescul]

MOL-067_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


21.23
24.68
15.16
12.29
20.35
3.67
0
0
2.38
0
0.25
0
0

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 Baltic 24.65
2 North_Atlantic 20.88
3 East_Med 20.72
4 West_Med 15.17
5 West_Asian 12.36
6 Red_Sea 3.59
7 Siberian 2.34
8 Oceanian 0.28
9 South_Asian 0.01


Single Population Sharing:


# Population (source) Distance
1 Bulgarian 3.79
2 Romanian 4.83
3 Serbian 8.05
4 Greek_Thessaly 10.2
5 Moldavian 12.7
6 Hungarian 15.83
7 Croatian 15.83
8 Italian_Abruzzo 16.38
9 Central_Greek 16.49
10 Tuscan 16.85
11 East_Sicilian 17.73
12 West_Sicilian 18.22
13 North_Italian 18.31
14 Ashkenazi 18.74
15 Austrian 19.1
16 South_Italian 20.95
17 East_German 20.95
18 Ukrainian_Lviv 21.73
19 South_Polish 22.65
20 West_German 22.79


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 60.7% Central_Greek + 39.3% Southwest_Russian @ 2.1
2 57.6% South_Polish + 42.4% Cyprian @ 2.21
3 54.8% South_Italian + 45.2% Southwest_Russian @ 2.29
4 66.9% Central_Greek + 33.1% East_Finnish @ 2.42
5 60.9% Central_Greek + 39.1% Ukrainian_Belgorod @ 2.46
6 55% South_Italian + 45% Ukrainian_Belgorod @ 2.48
7 64.6% Italian_Abruzzo + 35.4% Erzya @ 2.49
8 63.7% Central_Greek + 36.3% Belorussian @ 2.51
9 64% Central_Greek + 36% Kargopol_Russian @ 2.53
10 59% East_Sicilian + 41% Southwest_Russian @ 2.56
11 59.2% East_Sicilian + 40.8% Ukrainian_Belgorod @ 2.68
12 63.3% Central_Greek + 36.7% Estonian_Polish @ 2.69
13 62.9% Central_Greek + 37.1% Russian_Smolensk @ 2.74
14 67.1% Central_Greek + 32.9% Lithuanian @ 2.75
15 66.8% Central_Greek + 33.2% Estonian @ 2.77
16 74.4% Moldavian + 25.6% Lebanese_Druze @ 2.77
17 64.5% Central_Greek + 35.5% Erzya @ 2.78
18 66.2% Croatian + 33.8% Cyprian @ 2.78
19 50% Southwest_Finnish + 50% Cyprian @ 2.85
20 66.5% Central_Greek + 33.5% Finnish @ 2.88

[Ion Basescul]

MOL-069_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


26.39
24.34
17.44
13.21
12.41
4.17
0
0.31
0.71
0
0.89
0
0.12

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 North_Atlantic 25.97
2 Baltic 24.48
3 West_Med 17.66
4 West_Asian 13.07
5 East_Med 12.74
6 Red_Sea 4.11
7 Oceanian 0.85
8 Siberian 0.6
9 East_Asian 0.42
10 Sub-Saharan 0.11


Single Population Sharing:


# Population (source) Distance
1 Serbian 5.39
2 Romanian 5.47
3 Bulgarian 7.69
4 Moldavian 9.63
5 Hungarian 11.44
6 Croatian 12.28
7 Austrian 13.16
8 Greek_Thessaly 14.67
9 East_German 15.1
10 North_Italian 16.33
11 West_German 16.86
12 French 17.47
13 Tuscan 17.67
14 South_Dutch 18.27
15 Ukrainian_Lviv 18.4
16 South_Polish 19.23
17 Italian_Abruzzo 19.36
18 Portuguese 19.71
19 Spanish_Galicia 19.87
20 Ukrainian 20.07


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 91.2% Serbian + 8.8% Ossetian @ 3.85
2 91% Serbian + 9% Balkar @ 4.03
3 90.7% Serbian + 9.3% Kabardin @ 4.03
4 92.5% Serbian + 7.5% Georgian @ 4.08
5 91.6% Serbian + 8.4% North_Ossetian @ 4.09
6 51.3% Ukrainian_Lviv + 48.7% Italian_Abruzzo @ 4.13
7 91.5% Serbian + 8.5% Adygei @ 4.15
8 93.1% Serbian + 6.9% Abhkasian @ 4.16
9 91.2% Serbian + 8.8% Chechen @ 4.2
10 68.6% Moldavian + 31.4% Italian_Abruzzo @ 4.24
11 94.3% Serbian + 5.7% Balochi @ 4.28
12 94.4% Serbian + 5.6% Brahui @ 4.29
13 62.1% Croatian + 37.9% Italian_Abruzzo @ 4.3
14 91.2% Serbian + 8.8% Kumyk @ 4.32
15 66.6% Moldavian + 33.4% Tuscan @ 4.38
16 91.8% Serbian + 8.2% Tabassaran @ 4.38
17 94.4% Serbian + 5.6% Makrani @ 4.39
18 92.2% Serbian + 7.8% Lezgin @ 4.43
19 91.5% Serbian + 8.5% Nogay @ 4.55
20 54.2% Italian_Abruzzo + 45.8% Polish @ 4.56

[Leto]

Basically the least Slavic people in Moldova. Pure Vlachs.

[Ion Basescul]

That's it, overall they arrive at pretty much the same average, so the difference between the two genome analysis platforms is minimal.

Admixture Studio
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 192px"><col width="68"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
Name
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


MOL-005_Stefan_Voda
21.01
25.42
16.62
11.92
18.51
4.11
0.58
0
0
0
0.50
0.51
0.82


MOL-008_Stefan_Voda
18.42
25.95
16.17
15.45
17.83
3.82
0.56
0.56
0
1.25
0
0
0


MOL-015_Stefan_Voda
18.27
19.97
19.01
15.32
19.44
4.68
0.12
1.50
0.68
0.54
0
0
0.48


MOL-024_Stefan_Voda
19.84
23.81
19.67
11.16
19.93
3.16
0
0
1.21
0.29
0.52
0
0.40


MOL-058_Stefan_Voda
22.08
23.51
19.95
9.57
19.50
3.24
0
1.74
0.34
0
0.08
0
0


MOL-064_Stefan_Voda
16.91
24.06
20.61
12.07
23.58
0
0.52
0
1.03
0
0.29
0.45
0.50


MOL-065_Stefan_Voda
20.23
23.81
21.69
7.85
19.98
3.35
0
0
2.91
0
0.19
0
0


MOL-066_Stefan_Voda
21.07
28.94
14.77
9.89
19.66
4.48
0.57
0.61
0
0
0
0
0


MOL-067_Stefan_Voda
21.23
24.68
15.16
12.29
20.35
3.67
0
0
2.38
0
0.25
0
0


MOL-069_Stefan_Voda
26.39
24.34
17.44
13.21
12.41
4.17
0
0.31
0.71
0
0.89
0
0.12

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 192px"><col width="68"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
Average village of Caplani
20.55
24.45
18.11
11.87
19.12
3.47
0.24
0.47
0.93
0.21
0.27
0.10
0.23

</tbody>
</google-sheets-html-origin>
GEDmatch
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 192px"><col width="68"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
Name
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


MOL-005_Stefan_Voda
20.62
25.52
16.63
12.16
18.51
4.14
0.61
0
0
0
0.48
0.58
0.76


MOL-008_Stefan_Voda
18.47
25.97
16.07
15.55
17.64
3.89
0.49
0.59
0
1.33
0
0
0


MOL-015_Stefan_Voda
18.56
19.94
18.80
15.33
19.24
4.80
0.09
1.45
0.75
0.56
0
0
0.47


MOL-024_Stefan_Voda
19.64
23.78
19.71
11.47
19.97
3.00
0
0
1.21
0.24
0.59
0
0.39


MOL-058_Stefan_Voda
22.00
23.41
20.10
9.67
19.39
3.22
0
1.86
0.26
0.00
0.09
0
0


MOL-064_Stefan_Voda
17.35
23.74
20.52
12.08
23.49
0
0.53
0
1.06
0
0.27
0.52
0.45


MOL-065_Stefan_Voda
20.03
23.70
21.88
8.00
20.04
3.23
0
0
2.95
0
0.18
0
0


MOL-066_Stefan_Voda
20.93
29.28
14.66
9.92
19.59
4.57
0.46
0.59
0
0
0
0
0


MOL-067_Stefan_Voda
20.88
24.65
15.17
12.36
20.72
3.59
0
0
2.34
0
0.28
0
0


MOL-069_Stefan_Voda
25.97
24.48
17.66
13.07
12.74
4.11
0
0.42
0.60
0
0.85
0
0.11

</tbody>
</google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 192px"><col width="68"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
Average village of Caplani
20.45
24.45
18.12
11.96
19.13
3.46
0.22
0.49
0.92
0.21
0.27
0.11
0.22

</tbody>
</google-sheets-html-origin>

People from Caplani, Stefan Voda


https://www.youtube.com/watch?v=WMsjhCxVHyk


https://www.youtube.com/watch?v=3Jf06lCpAjs


https://www.youtube.com/watch?v=InwplPVGL-k


https://www.youtube.com/watch?v=v3ER7vqsBDc

[Ion Basescul]

I'll do the same for the Balti samples, though not soon, since uploading 32 kits to GEDmatch will take a while.

[Ion Basescul]

From Iasi (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


22.18
29.43
15.58
8.53
18.01
0.20
2.99
0
1.79
0.36
0.94
0
0

</tbody>
</google-sheets-html-origin>
Compared to others from Iasi

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


19.78
25.27
16.76
13.97
13.46
3.11
3.80
1.10
0.58
1.21
0.28
0.67
0


28.67
29.30
14.20
10.23
14.22
0
0.12
1.51
0
0.75
0.79
0.21
0


20.77
30.57
15.51
11.77
12.12
3.48
2.53
0
1.45
0.35
1.46
0
0


21.55
33.35
16.78
7.05
17.78
0.86
0
1.07
0.11
0.76
0
0
0.69


25.87
26.84
16.97
10.82
15.72
1.10
0.45
0.17
0.89
0
0.85
0
0.32


23.47
21.46
16.35
9.42
19.46
4.83
0.78
1.14
2.38
0
0.52
0
0.19


27.56
28.87
11.97
7.40
17.56
0
2.72
0
2.26
0.96
0.20
0.42
0.08


24.97
24.41
19.71
10.78
13.32
3.16
0
2.38
0.77
0.50
0
0
0


23.48
28.95
17.21
10.44
13.88
3.45
0
1.27
1.19
0
0.14
0
0


22.25
28.36
18.26
9.25
15.17
2.56
0.39
2.70
0
0.92
0.09
0
0


25.57
32.02
16.18
8.64
11.89
1.89
0.18
1.76
0
0.61
0
0.52
0.75

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Iasi_ind


4.17146257
Serb_Serbia_South&East


4.50978935
Moldova_average


4.52421264
Serb_B&H_Herzegovina


4.66034333
Romania_Maramures


4.69102334
Moldova_Centre


4.95920357
Serb_Serbia


5.04519573
Serb


5.04875232
Serb


5.22675808
Serb_Serbia_West&Central


5.29512984
Romania_Moldavia_South


5.30947267
Romania_Moldavia_North


5.34552149
Serb_Croatia_Lika


5.37374171
Serb_Croatia_Kordun&Banija


5.40015741
Serb_Croatia


5.40096288
Serb_B&H_Krajina


5.44609034
Romania_average


5.45970695
Serb_Serbia_Vojvodina


5.58489033
Bulgaria_Northwestern


5.61485530
Serb_B&H


5.69279369
Romania_Banat


5.77981834
Romania_Transylvania


5.88329839
Romania_Crisana


6.04503929
Bosniak


6.08657539
Serb_Croatia_Dalmatia


6.34772400
Pomak_Plovdiv


</tbody>


<tbody>
Distance to:
Iasi_ind


4.66034333
Romania_Maramures


5.29512984
Romania_Moldova_Sud


5.30947267
Romania_Moldova_Nord


5.69279369
Romania_Banat


5.77981834
Romania_Transilvania


5.88329839
Romania_Crisana


6.36237377
Romania_Moldova_Csango


6.44057451
Romania_Oltenia


6.75305857
Romania_Dobrogea


6.98002865
Romania_Muntenia


8.01041822
Bulgarian


8.66934591
Romania_Transilvania_Szekely


8.81329729
Romania_Transilvania_Hungarian


11.63223968
Aromanian_North-Macedonia-Highlander


12.67016574
Aromanian_North-Macedonia


12.69640894
Ukrainian_Ivano_Frankivsk


16.80731686
Aromanian_Central-Macedonia


19.08577481
Ukrainian_Lviv


26.47474835
Crimean_Tatar


28.14692701
Romania_Dobruja_Tatar


29.47385282
Romania_Jewish


31.93694569
Romania_Roma


</tbody>

Target: Iasi_ind
Distance: 2.9951% / 2.99510524 | ADC: 0.25x
55.0 Romania_Dobrogea
30.6 Ukrainian_Ivano_Frankivsk
8.8 Romania_Moldova_Nord
5.6 Romania_Roma

-Dobrogea, Ukrainian
Target: Iasi_ind
Distance: 3.6884% / 3.68843388 | ADC: 0.25x
47.2 Romania_Maramures
41.8 Romania_Moldova_Nord
5.0 Romania_Roma
4.0 Romania_Jewish
2.0 Romania_Banat


<tbody>
Distance to:
Iasi_ind


4.81951242
Romania_Moldavia_Iasi


4.87787864
Romania_Moldavia_Bacau


5.06987179
Romania_Moldavia_Botosani


5.45869948
Romania_Moldavia_Neamt


6.01468204
Romania_Moldavia_Vaslui


6.52763357
Romania_Moldavia_Galati


6.54661745
Romania_Moldavia_Vrancea


6.72159207
Romania_Moldavia_Suceava


7.97791953
Romania_Moldavia_Csango


11.07754485
Romania_Moldavia_Ukrainian


29.47385282
Romania_Moldavia_Jewish


31.93694569
Romania_Roma

</tbody>

[Ion Basescul]

1/2 Botosani, 1/2 Iasi (Romanian Jewish)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


18.59
6.61
18.40
9.33
38.11
5.18
0.56
0.14
0
1.29
0.60
0.76
0.43

</tbody>
</google-sheets-html-origin>
Compared to other Jews from Romania's Moldavia (red) and Republic of Moldova (blue)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


16.27
7.06
19.37
10.83
35.39
5.99
1.49
1.10
0.80
0
0.62
1.08
0


21.04
5.53
20.1
9.48
34.12
5.91
0
0.25
1.45
0.29
0
1.83
0


17.12
8.54
16.54
11.62
36.19
6.50
0.62
0
1.03
0.54
0.96
0
0.34


16.21
5.25
17.99
11.64
37.23
7.55
0
0.11
1.59
0
0.50
1.94
0


15.35
7.92
16.04
11.22
38.35
7.75
0
0.81
0.30
0
0.88
1.37
0


18.03
9.27
18.63
10.26
34.22
4.58
0
2.06
0
0
0.70
2.25
0


12.70
12.29
18.18
11.81
36.58
6.51
0.11
1.53
0.15
0
0
0.14
0


17.50
9.66
16.26
12.38
35.96
5.50
0.06
1.30
0
0
0.71
0.61
0.08


17.24
9.53
17.03
11.41
34.87
5.55
0
1.27
0.58
0
0.70
1.81
0


14.22
10.34
18.13
11.65
35.58
6.98
0
1.52
0
0.36
0
1.22
0

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Iasi_Botosani_Jewish_ind


6.29637991
Ashkenazi


6.36726001
Italian_Jewish


7.36453665
Moroccan_Jew


8.09150789
Sephardic_Jewish


8.96334201
Algerian_Jewish


9.02069842
IT_Calabria_citra


9.03404671
Malta


9.05927149
IT_Calabria


9.07876644
IT_Calabria_ultra


9.87292257
IT_Campania


10.38166172
Sicily


10.60667714
IT_Sannio


10.63709547
IT_Molise


10.69506896
IT_Salento


10.87338034
IT_Abruzzo


10.88928372
Greek_Symi_Island


10.90005963
Greek_North_Aegean


11.04151258
IT_Apulia


11.28289413
Tunisian_Jewish


11.29842909
IT_Lucania


11.32139567
IT_Basilicata


11.64284330
IT_Puglia


11.75190623
Greek_Crete


11.97025898
Greek_Cyclades


12.09679296
Greek_Andros_Island

</tbody>

[Ion Basescul]

From Iasi (Romania's Moldavia)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


28.33
26.91
14.13
10.44
14.83
1.24
2.53
0
0.96
0.33
0
0
0.30

</tbody>
</google-sheets-html-origin>
Compared to others from Iasi

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


19.78
25.27
16.76
13.97
13.46
3.11
3.80
1.10
0.58
1.21
0.28
0.67
0


28.67
29.30
14.20
10.23
14.22
0
0.12
1.51
0
0.75
0.79
0.21
0


20.77
30.57
15.51
11.77
12.12
3.48
2.53
0
1.45
0.35
1.46
0
0


21.55
33.35
16.78
7.05
17.78
0.86
0
1.07
0.11
0.76
0
0
0.69


25.87
26.84
16.97
10.82
15.72
1.10
0.45
0.17
0.89
0
0.85
0
0.32


23.47
21.46
16.35
9.42
19.46
4.83
0.78
1.14
2.38
0
0.52
0
0.19


27.56
28.87
11.97
7.40
17.56
0
2.72
0
2.26
0.96
0.20
0.42
0.08


24.97
24.41
19.71
10.78
13.32
3.16
0
2.38
0.77
0.50
0
0
0


23.48
28.95
17.21
10.44
13.88
3.45
0
1.27
1.19
0
0.14
0
0


22.25
28.36
18.26
9.25
15.17
2.56
0.39
2.70
0
0.92
0.09
0
0


25.57
32.02
16.18
8.64
11.89
1.89
0.18
1.76
0
0.61
0
0.52
0.75


22.18
29.43
15.58
8.53
18.01
0.20
2.99
0
1.79
0.36
0.94
0
0

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
Iasi_ind


4.25894353
Hungarian_Szekely


4.51948006
Serb_Croatia_Dalmatia


4.99428674
Hungarian_Transylvania


5.12392428
Hungarian_Csango


5.44944034
Serb_Croatia


5.47884112
Serb_Serbia_Vojvodina


5.55680664
Romania_Crisana


5.73428287
Serb_Croatia_Kordun&Banija


5.77246914
Serb


5.87801837
Serb_Croatia_Lika


5.90061861
Serb


5.90923007
Romania_Moldavia_North


5.93656466
Serb_Serbia


5.96280974
Romania_Maramures


5.99062601
Bosniak


5.99166922
Romania_Moldavia_South


6.06096527
Serb_Serbia_West&Central


6.09412012
Croat_Croatia_Dalmatia


6.10140967
Romania_Transylvania


6.21833579
Moldova_average


6.25558950
Serb_B&H_Bosnia_proper


6.41491231
Serb_B&H


6.42267078
Croat_B&H_West_Bosnia


6.46416275
Moldova_Centre


6.49916918
Serb_Serbia_South&East


</tbody>


<tbody>
Distance to:
Iasi_ind


4.16600964
Romania_Transilvania_Szekely


4.67160572
Romania_Moldova_Csango


4.92856781
Romania_Transilvania_Hungarian


5.55680664
Romania_Crisana


5.90923007
Romania_Moldova_Nord


5.96280974
Romania_Maramures


5.99166922
Romania_Moldova_Sud


6.10140967
Romania_Transilvania


7.37052915
Romania_Oltenia


7.97687909
Romania_Banat


9.01184221
Romania_Muntenia


9.36267590
Romania_Dobrogea


10.14995074
Bulgarian


13.09674769
Aromanian_North-Macedonia


13.21862701
Aromanian_North-Macedonia-Highlander


13.34792493
Ukrainian_Ivano_Frankivsk


17.99991667
Aromanian_Central-Macedonia


18.28264478
Ukrainian_Lviv


27.13422931
Crimean_Tatar


29.42853037
Romania_Dobruja_Tatar


31.50854170
Romania_Jewish


33.21040500
Romania_Roma


</tbody>

Target: Iasi_ind
Distance: 3.0610% / 3.06102287 | ADC: 0.25x
85.0 Romania_Transilvania_Szekely
10.4 Bulgarian
4.6 Romania_Roma

-Hungarians
Target: Iasi_ind
Distance: 4.9267% / 4.92668597 | ADC: 0.25x
60.4 Romania_Crisana
32.0 Romania_Moldova_Nord
4.0 Ukrainian_Lviv
3.6 Romania_Roma


<tbody>
Distance to:
Iasi_ind


4.13493652
Romania_Moldavia_Vaslui


5.11989258
Romania_Moldavia_Csango


5.13982490
Romania_Moldavia_Iasi


5.40365617
Romania_Moldavia_Neamt


6.56307855
Romania_Moldavia_Bacau


6.66078824
Romania_Moldavia_Suceava


6.71999256
Romania_Moldavia_Botosani


7.48942588
Romania_Moldavia_Galati


7.97109152
Romania_Moldavia_Vrancea


8.91739312
Romania_Moldavia_3/4Romanian_1/4Roma


10.37379873
Romania_Moldavia_Ukrainian


31.50854170
Romania_Moldavia_Jewish


33.21040500
Romania_Roma

</tbody>

[Ion Basescul]

Interesting map about the ethnic composition of Southern Moldova in 1907. The Caplani village in Stefan Voda was fully ethnically Moldovan/Romanian even then. The same applied to my mom's village adjacent to Cahul from the South.

https://etnoistorie.files.wordpress.com/2010/09/budjak_190713.png

[Jana]

MOL-069_Stefan_Voda

Admixture Studio
<google-sheets-html-origin style="font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


26.39
24.34
17.44
13.21
12.41
4.17
0
0.31
0.71
0
0.89
0
0.12

</tbody>
</google-sheets-html-origin>
GEDmatch



# Population Percent
1 North_Atlantic 25.97
2 Baltic 24.48
3 West_Med 17.66
4 West_Asian 13.07
5 East_Med 12.74
6 Red_Sea 4.11
7 Oceanian 0.85
8 Siberian 0.6
9 East_Asian 0.42
10 Sub-Saharan 0.11


Single Population Sharing:


# Population (source) Distance
1 Serbian 5.39
2 Romanian 5.47
3 Bulgarian 7.69
4 Moldavian 9.63
5 Hungarian 11.44
6 Croatian 12.28
7 Austrian 13.16
8 Greek_Thessaly 14.67
9 East_German 15.1
10 North_Italian 16.33
11 West_German 16.86
12 French 17.47
13 Tuscan 17.67
14 South_Dutch 18.27
15 Ukrainian_Lviv 18.4
16 South_Polish 19.23
17 Italian_Abruzzo 19.36
18 Portuguese 19.71
19 Spanish_Galicia 19.87
20 Ukrainian 20.07


Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 91.2% Serbian + 8.8% Ossetian @ 3.85
2 91% Serbian + 9% Balkar @ 4.03
3 90.7% Serbian + 9.3% Kabardin @ 4.03
4 92.5% Serbian + 7.5% Georgian @ 4.08
5 91.6% Serbian + 8.4% North_Ossetian @ 4.09
6 51.3% Ukrainian_Lviv + 48.7% Italian_Abruzzo @ 4.13
7 91.5% Serbian + 8.5% Adygei @ 4.15
8 93.1% Serbian + 6.9% Abhkasian @ 4.16
9 91.2% Serbian + 8.8% Chechen @ 4.2
10 68.6% Moldavian + 31.4% Italian_Abruzzo @ 4.24
11 94.3% Serbian + 5.7% Balochi @ 4.28
12 94.4% Serbian + 5.6% Brahui @ 4.29
13 62.1% Croatian + 37.9% Italian_Abruzzo @ 4.3
14 91.2% Serbian + 8.8% Kumyk @ 4.32
15 66.6% Moldavian + 33.4% Tuscan @ 4.38
16 91.8% Serbian + 8.2% Tabassaran @ 4.38
17 94.4% Serbian + 5.6% Makrani @ 4.39
18 92.2% Serbian + 7.8% Lezgin @ 4.43
19 91.5% Serbian + 8.5% Nogay @ 4.55
20 54.2% Italian_Abruzzo + 45.8% Polish @ 4.56

Not very southern like other samples from there.

[Jana]

Basically the least Slavic people in Moldova. Pure Vlachs.

No. Pure Vlachs don't exist. Even Aromanians have significant Slavic admixture.

[Ion Basescul]

A nice visualisation of all the ethnicities from villages, towns and cities in Republic of Moldova, based on the 2004 census. The central region is the most homogeneously Moldovan/Romanian, while both the North and South are heavily mixed and probably assimilated. From North to Centre and South, most villages are ethnically Moldovan/Romanian along the rivers, Prut in the West and Dniester in the East.
When you hear someone claim that Moldovans from Romanian Moldavia are mixed with Wallachians (few if any migrate from the South or West into Moldavia), don't forget to quote this.

Blue - Moldovan/Romanian
Green - Ukrainian
Pink - Russian
Dark Yellow - Gagauz
Orange - Bulgarian
Violet - Roma/Gypsy
Light Yellow - Jewish
Cyan - Polish
Grey - Other


https://etnoistorie.files.wordpress.com/2010/04/moldova_harta-etnica1.png

[Ion Basescul]

I've edited the above image from the 2004 census to show where I imagine ethnic Moldovans/Romanians to be less likely admixed. Those in red shape with blue stripes/dots on top of it could be less admixed with ethnic minorities than others, due to living close to clusters of mostly Moldovan/Romanian villages. Ignore the towns of Orhei and Causeni, as I forgot to draw around them.

https://i.imgur.com/na2TY0o.jpeg

[Benyzero]

No. Pure Vlachs don't exist. Even Aromanians have significant Slavic admixture.

It exists .Iam pure vlach

[Ion Basescul]

It exists .Iam pure vlach

Not enough testosterone for pure Vlach, I am afraid.

[Benyzero]

Not enough testosterone for pure Vlach, I am afraid.

No way, my testo is infinite

[Peterski]

How do these Lemkos compare to your Romanians and Moldovans?:

Lemko1:

Eurogenes K13:

Population
North_Atlantic 30.39 Pct
Baltic 35.46 Pct
West_Med 13.40 Pct
West_Asian 9.55 Pct
East_Med 9.49 Pct
Red_Sea 0.97 Pct
South_Asian 0.45 Pct
East_Asian -
Siberian 0.21 Pct
Amerindian -
Oceanian 0.08 Pct
Northeast_African -
Sub-Saharan -

Eurogenes K15:

Population
North_Sea 18.26 Pct
Atlantic 20.57 Pct
Baltic 25.73 Pct
Eastern_Euro 12.82 Pct
West_Med 8.16 Pct
West_Asian 8.42 Pct
East_Med 5.19 Pct
Red_Sea 0.85 Pct
South_Asian -
Southeast_Asian -
Siberian -
Amerindian -
Oceanian -
Northeast_African -
Sub-Saharan -

Lemko2:

Eurogenes K13:

Population
North_Atlantic 26.67 Pct
Baltic 38.22 Pct
West_Med 16.97 Pct
West_Asian 8.25 Pct
East_Med 7.49 Pct
Red_Sea -
South_Asian -
East_Asian -
Siberian 1.95 Pct
Amerindian -
Oceanian 0.45 Pct
Northeast_African -
Sub-Saharan -

Eurogenes K15:

Population
North_Sea 17.61 Pct
Atlantic 17.62 Pct
Baltic 25.56 Pct
Eastern_Euro 15.50 Pct
West_Med 12.16 Pct
West_Asian 7.70 Pct
East_Med 2.93 Pct
Red_Sea -
South_Asian -
Southeast_Asian -
Siberian 0.74 Pct
Amerindian -
Oceanian 0.17 Pct
Northeast_African -
Sub-Saharan -

Lemko3:

Eurogenes K13:

Population
North_Atlantic 28.18 Pct
Baltic 37.37 Pct
West_Med 14.55 Pct
West_Asian 5.94 Pct
East_Med 10.63 Pct
Red_Sea -
South_Asian 0.70 Pct
East_Asian 1.00 Pct
Siberian -
Amerindian 1.03 Pct
Oceanian 0.58 Pct
Northeast_African -
Sub-Saharan -

Eurogenes K15:

Population
North_Sea 17.59 Pct
Atlantic 19.52 Pct
Baltic 25.40 Pct
Eastern_Euro 14.25 Pct
West_Med 9.79 Pct
West_Asian 5.12 Pct
East_Med 6.64 Pct
Red_Sea -
South_Asian 0.30 Pct
Southeast_Asian 0.37 Pct
Siberian -
Amerindian 0.63 Pct
Oceanian 0.39 Pct
Northeast_African -
Sub-Saharan -

Lemko4:

Eurogenes K13:

Population
North_Atlantic 25.72 Pct
Baltic 39.53 Pct
West_Med 14.62 Pct
West_Asian 5.61 Pct
East_Med 10.31 Pct
Red_Sea -
South_Asian 0.54 Pct
East_Asian 1.32 Pct
Siberian 0.06 Pct
Amerindian 1.35 Pct
Oceanian 0.95 Pct
Northeast_African -
Sub-Saharan -

Eurogenes K15:

Population
North_Sea 13.63 Pct
Atlantic 19.27 Pct
Baltic 27.57 Pct
Eastern_Euro 16.01 Pct
West_Med 9.77 Pct
West_Asian 5.84 Pct
East_Med 5.54 Pct
Red_Sea -
South_Asian -
Southeast_Asian 0.66 Pct
Siberian -
Amerindian 0.94 Pct
Oceanian 0.75 Pct
Northeast_African -
Sub-Saharan -

[Peterski]

I've edited the above image from the 2004 census to show where I imagine ethnic Moldovans/Romanians to be less likely admixed.

In this forum thread you can find some old ethnic data/maps for Moldova (but unfortunately I don't remember on which page):

https://www.forum.hr/showthread.php?t=803200&page=185

[WeirdLookingFellow]

In this forum thread you can find some old ethnic data/maps for Moldova (but unfortunately I don't remember on which page):

https://www.forum.hr/showthread.php?t=803200&page=185

A very nice map from 1910 showing the ethnic split in Bukowina.

https://upload.wikimedia.org/wikipedia/commons/5/54/Bukovina1910ethnic.jpg


Ethnic pop split in counties from 1930:

https://upload.wikimedia.org/wikipedia/commons/thumb/d/da/Romania_1930_ethnic_map_EN.png/1280px-Romania_1930_ethnic_map_EN.png?1603095496985

[Ion Basescul]

How do these Lemkos compare to your Romanians and Moldovans?:



They score like some Moldovan Ukrainians, at least on K13.

[Peterski]

They score like some Moldovan Ukrainians, at least on K13.

Moldovan Ukrainians are probably very similar to Ukrainians/Rusyns from Chernivtsi and Zakarpattia.

In Similitude Map Lemko average is closer even to Austria than to most of Romania, except Moldova:

https://i.imgur.com/c25rIzm.png