Moldovan/Romanian GEDmatch Results v2

Quote:

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Originally Posted by Ion Basescul

From Soroca county (3/4 from village 2km from Donduseni district and 1/4 Ukrainian from Odessa) (Soroca county = Soroca, Drochia, Floresti, Soldanesti)


https://i.ibb.co/LxjfVGy/image.png

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The resuts of the full Moldovan/Romanian parent from that village at the crossroads of Soroca and Donduseni districts

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
22.99	34.77	13.84	8.92	15.17	1.26	0	0.57	1.50	0	0.99	0	0

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Distance to: Soroca_ind
3.47626236 Moldova_North
3.92997455 Bosniak
4.24763464 Moldova_Centre
4.25424494 Moldova_average
4.40882070 Bosniak_Bosnia
4.99455704 Croat_East
5.04217215 Serb_Bosnia
5.38302889 Croat_South
5.70752135 Romania_Moldavia_North
6.11442557 Serb_Croatia
6.56269000 Croat
6.56762514 Serb_Serbia_Central
6.62561695 Serb
7.07903242 Croat_West
7.13206842 Serb_Serbia_West
7.34795890 Serb_Serbia_Vojvodina
7.38125328 Romania_Maramures
7.45911523 Serb_Serbia_South
7.62471639 Ukrainian_Carpathian
7.78387436 Serb_Herzegovina
8.28907112 Hungarian_Alföld
8.49091868 Csángó-Ceangău
8.81362581 Hungarian_Transylvania+Székely
9.04374922 Croat_North
9.19126759 Moldova_South

Distance to: Soroca_ind
3.47626236 Moldova_North
4.24763464 Moldova_Centre
4.25424494 Moldova_average
7.34766630 Ukrainian_Ivano_Frankivsk
7.62471639 Ukrainian_Carpathian
9.19126759 Moldova_South
10.09541480 Moldova_Ukrainian
10.77635838 Ukrainian_Galicia
15.14346063 Ukrainian
15.17874501 Moldova_South_Gagauzia
16.99350758 Moldova_Bulgarian
17.20843979 Ukrainian_Belgorod
19.54141755 Russian_Smolensk
26.64515681 Russian_Pinega
27.86365195 Crimean_Tatar
28.16771379 Romania_Dobruja-Tatar
34.54134913 Moldova_Jewish
37.44255734 Moldova_Roma

Distance to: Soroca_ind
3.01781378 Moldova_Soroca_judet
3.26944949 Moldova_Balti_judet
3.64860247 Moldova_Chisinau_city
3.81077420 Moldova_Balti_city
3.92214227 Moldova_Edinet_judet
4.50627340 Moldova_Ungheni_judet
4.87174507 Moldova_Orhei_judet
5.85128191 Moldova_Chisinau_judet
6.05351964 Moldova_Lapusna_judet
6.34014195 Moldova_1/2Moldovan_1/2EastSlavic
8.51811599 Moldova_Transnistria_UTA
10.22934993 Moldova_Cahul_judet
10.48922304 Moldova_Ukrainian
12.31134436 Moldova_Tighina_judet
14.95601217 Moldova_Gagauzia_UTA
16.79971726 Moldova_Taraclia_Bulgarian
34.54134913 Moldova_Jewish
37.24593938 Moldova_Roma

1/2 Moldovan/Romanian from Beletsky Uezd (Northern Moldova, but born in Russia to deported parents), 1/2 Russian from Odintsovo (Moscow)

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
23.86	41.65	8.42	8.86	8.21	0	1.76	0	4.67	0.87	0.90	0	0.81

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Distance to: A
5.94728509 Moldova_Ukrainian
7.14965034 Russian_Southwest
7.17912251 Ukrainian
7.41522083 Ukrainian_Galicia
7.87276953 Ukrainian_Carpathian
8.25753595 Mordovian
8.87117241 South_Polish
8.89101794 Russian_average
9.10572347 Mazovia
9.30079029 Polish_Kielce
9.31186877 Lower_Silesia
10.00074997 Russian_Kostroma
10.28210095 Greater_Poland
10.45527618 Russian_Kargopol
10.59529141 Russian_Smolensk
10.73890590 Slovak
10.76948931 Polish
10.77056637 Bosniak_Bosnia
10.78064469 Silesian
10.90031651 Belarusian_Minsk
11.13180129 Moldova_North
11.16758255 Podlaskie
11.25665137 Croat_East
11.42775569 Hungarian_North
11.46768067 Sorb_Lusatia

Target: A
Distance: 3.0712% / 3.07119182 | R2P
59.6 Russian_Kostroma
40.4 Moldova_Centre

-Moldova_Centre
Target: A
Distance: 3.2287% / 3.22866384 | R2P
53.0 Russian_Kostroma
47.0 Moldova_North

Quote:

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Originally Posted by Ion Basescul

1/2 Moldovan/Romanian from Beletsky Uezd (Northern Moldova, but born in Russia to deported parents), 1/2 Russian from Odintsovo (Moscow)

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I wonder if I have this kit.

Quote:

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Originally Posted by Leto

I wonder if I have this kit.

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Maybe

New samples for the part in Romania (those with Ukrainian surnames are in red)

Suceava county

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
23.70	37.04	11.25	11.66	10.47	1.75	0.27	1.05	0	2.38	0.27	0.15	0
30.11	33.00	12.85	5.32	14.43	1.52	0	0	0.84	0.46	0.96	0.15	0.37
30.14	32.94	10.90	7.73	11.85	0.94	3.25	1.03	0.48	0.73	0	0	0
24.43	35.35	14.16	8.69	13.07	0.60	0	0	3.40	0.15	0.15	0	0
29.33	30.15	16.62	6.80	12.62	0	1.15	0	1.42	0.27	0.52	1.13	0
25.79	29.41	16.38	9.80	14.14	0	0	0.36	2.57	0.06	0.41	0.83	0.25
27.38	31.29	17.58	7.07	8.91	2.70	0.39	1.03	2.70	0	0.35	0.49	0.12
24.33	28.74	14.79	10.77	14.11	2.68	1.09	1.85	1.23	0.20	0.21	0	0
27.07	31.82	13.64	7.66	13.75	2.97	0.22	0.52	1.82	0.29	0.24	0	0
24.74	34.60	13.22	9.86	11.44	1.15	0.41	0	1.79	0.90	1.88	0	0
27.07	37.55	12.03	7.12	10.74	0.15	0.22	0.29	2.62	0.51	0.86	0.84	0

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Botosani county

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
27.97	36.62	16.62	5.93	9.44	0.09	2.00	0	1.15	0	0	0	0.13
22.05	34.89	12.67	6.66	17.94	0.62	0.71	0	3.83	0	0	0	0.60
26.20	38.64	14.20	6.70	10.24	0	0.81	0	1.38	0.12	1.13	0.16	0.41
23.90	32.36	15.52	10.97	11.03	1.62	2.08	0	1.20	0.54	0.66	0.13	0
27.07	28.56	17.00	10.51	13.91	0	0	1.75	0.71	0.08	0.24	0	0.16

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Iasi county

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
23.08	34.86	12.11	12.49	10.22	2.84	0.37	0	1.16	0.58	1.66	0.62	0
25.90	28.95	17.03	10.53	13.93	1.24	0.27	0	1.09	0	1.01	0	0
26.61	31.43	14.11	8.29	13.63	2.43	1.39	1.07	0	0.24	0.17	0.18	0.46
23.94	30.00	16.34	7.10	16.58	1.39	2.47	0.57	1.11	0.51	0	0	0
23.97	28.45	16.59	11.70	14.09	0.78	3.01	0.14	1.10	0	0.18	0	0
22.23	28.36	19.07	12.48	14.91	0.52	0.79	0.31	0	0.21	0.86	0.25	0
23.55	28.97	20.09	9.49	13.26	0.95	2.60	0	0.48	0	0.62	0	0
22.95	29.59	13.90	11.76	14.49	3.56	0.68	0	1.70	0.98	0	0	0.40
26.41	28.85	16.32	10.92	12.93	1.75	0	0	2.05	0	0.43	0	0.34
23.25	31.46	16.28	9.17	14.85	2.29	0	0.28	1.30	1.02	0.11	0	0
20.30	31.51	14.07	11.55	16.91	2.11	0.95	0.43	0.56	1.14	0.40	0.05	0
23.38	32.59	13.73	10.83	13.10	0.67	2.39	0.61	2.35	0.35	0	0	0

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Neamt county

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
26.23	28.68	14.28	14.01	10.77	3.13	0	1.36	0	0	0.94	0.60	0
21.28	31.16	19.21	9.98	11.98	2.27	2.23	0	1.89	0	0	0	0

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Bacau county

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
21.77	27.54	14.32	9.40	20.62	2.31	0	1.54	0.84	1.24	0.41	0	0
25.96	24.63	15.64	10.23	18.55	1.44	0	0.93	0.56	0.11	1.94	0	0
24.52	26.36	15.71	12.46	16.26	1.69	0.65	0.32	1.18	0.22	0.64	0	0
23.51	28.31	20.10	8.50	11.75	3.78	0	1.00	0.97	1.22	0.09	0	0.75

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Csango/Roman-Catholic from Bacau
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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
28.88	29.03	15.22	8.98	11.02	2.13	0.52	1.00	1.08	0	1.76	0	0.37

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Vaslui county

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
25.57	27.09	18.5	7.23	16.33	2.66	0	0	1.93	0.68	0	0	0

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Vrancea county

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
26.54	22.00	17.71	8.70	20.00	1.95	0.13	0	1.85	0.74	0.23	0	0.16

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Csango/Roman-Catholic from Vrancea
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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
25.93	31.23	17.66	6.65	10.90	3.11	0.87	0.54	2.88	0	0.23	0	0

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Galati county

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
23.70	28.43	17.89	7.38	16.63	1.63	0	0.70	1.63	1.15	0.58	0	0.28
20.09	27.74	19.89	13.07	14.63	1.20	0	1.29	2.10	0	0	0	0
21.73	23.50	16.29	11.20	20.10	0.60	2.12	1.32	1.40	1.13	0	0	0.60

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Updated averages

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Name	Number of Samples	N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan	NE+NW Euro	Med Euro	Caucasus	SW Asia	Siberia	India
Romania_Moldavia_Botosani	30	25.16	32.26	14.76	8.68	14.15	1.22	0.64	0.47	1.51	0.46	0.42	0.07	0.19	57.42	28.90	8.68	1.29	2.44	0.64
Romania_Moldavia_Suceava	34	26.26	32.00	14.15	8.41	13.27	1.52	0.89	0.53	1.64	0.52	0.47	0.27	0.09	58.26	27.42	8.41	1.79	2.68	0.89
Romania_Moldavia_Iasi	45	23.95	30.08	15.76	9.28	15.03	1.96	1.00	0.57	1.12	0.55	0.45	0.15	0.10	54.03	30.79	9.28	2.11	2.24	1.00
Romania_Moldavia_Neamt	18	24.23	27.91	16.48	10.54	14.44	2.12	0.67	0.77	1.29	0.61	0.59	0.17	0.18	52.13	30.92	10.54	2.29	2.67	0.67
Romania_Moldavia_Vaslui	19	25.50	28.13	15.78	9.06	15.71	2.14	0.56	0.49	1.58	0.47	0.24	0.13	0.19	53.63	31.50	9.06	2.27	2.54	0.56
Romania_Moldavia_Bacau	20	23.64	27.10	16.95	10.14	16.61	2.06	0.52	0.67	0.78	0.74	0.55	0.06	0.17	50.74	33.56	10.14	2.12	2.19	0.52
Romania_Moldavia_Vrancea	13	23.20	24.90	17.40	10.87	17.19	2.28	1.01	0.70	1.33	0.66	0.28	0.11	0.07	48.10	34.59	10.87	2.39	2.70	1.01
Romania_Moldavia_Galati	19	23.54	25.33	17.32	9.51	18.82	1.95	0.67	0.59	1.02	0.59	0.40	0.12	0.13	48.87	36.14	9.51	2.08	2.20	0.67

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Those 30ish samples from Balti city (Triska et al. 2017 academic samples) are not from there by the way. More likely by Balti the researchers meant Balti as in region.
And my reasoning for that comes from the fact that after uploading them to GEDmatch in order to take a closer look, I found that 22 of them are close matches to each other; other 3 are matching each other closely but not those, and 6 are unrelated to these and each other. Those last ones could be from the city.

Some of those from the 22 and 3 related are even at grandparent - nephew relationship, but most of them are 70cM+ to 800cM matches.
This is impossible in a big city, unless they literally grabbed a panel of relatives. But in a small village of up to about 4k people, it is normal to have relationships of 70-100cM for non-related people. This is the case with samples from Caplani, Costesti, Cazaclia and 3 of my parents' personal matches on MyHeritage that come from the same villages as them.

Obviously I can't place them in a specific village, but they are probably from somewhere at the crossroads of Singerei, Falesti, Glodeni, so stranding the Western side of Balti, rather than Eastern. That's because some of them match to up to 60cM some of my confirmed samples from villages in that area.

Here are the relationships:

These are likely from the same and/or neighbouring villages

22

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
24.58	31.08	13.08	6.06	16.71	3.33	1.41	0	2.32	1.43	0	0	0
22.08	35.20	17.67	12.03	7.34	1.30	1.25	1.55	0	0.79	0.09	0.51	0.19
26.86	31.42	17.53	9.84	10.26	0	0	0.55	1.85	1.00	0.14	0.11	0.45
27.89	28.60	15.36	10.43	13.25	0.43	0	0.20	3.51	0	0.33	0	0
26.74	30.55	12.91	10.08	14.54	0.86	1.10	0.20	2.93	0	0.09	0	0
24.50	30.63	15.90	8.79	15.10	0	0.38	0.09	1.22	0.93	1.08	0	1.38
22.35	36.34	13.69	10.10	11.91	0.00	0.83	0	1.36	1.58	0.74	0	1.11
25.28	27.62	16.32	11.66	12.96	2.76	1.24	0	1.23	0	0.92	0	0
27.75	32.43	15.47	6.56	13.70	1.25	0.06	0	2.26	0.36	0.17	0	0
23.81	34.31	12.54	6.21	16.13	1.21	2.19	0.86	2.42	0	0.30	0	0
24.60	27.89	17.41	10.24	14.03	0	2.99	0	2.54	0	0.30	0	0
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
23.45	32.66	13.73	7.87	16.41	0	1.20	0	3.13	0	0.54	1.01	0
23.13	36.19	11.05	9.44	16.58	0	1.15	0	1.84	0.16	0	0	0.45
27.76	31.44	13.32	6.93	15.07	2.36	1.14	0.96	0	0.67	0	0.35	0
23.69	34.30	11.83	8.97	14.59	3.57	1.20	0	1.51	0.05	0	0	0.30
27.48	29.22	13.71	8.91	13.15	3.50	2.84	0.36	0.32	0	0.51	0	0
23.97	26.63	13.49	7.19	17.21	1.94	4.59	0.98	1.67	0.20	0.53	1.34	0.27
21.44	33.10	14.08	8.88	17.70	0.54	0.94	0	2.95	0	0.38	0	0
24.52	36.71	16.02	7.75	10.27	0.89	1.08	0.72	2.03	0	0	0	0
26.08	36.66	13.59	6.72	11.89	1.82	0	0	1.88	1.32	0	0	0
31.58	28.15	14.20	2.22	17.21	1.23	2.15	0	1.86	0	1.40	0	0

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Given whom they match at "villager" level of closeness from my confirmed matches, they are likely from either a single or 1-3 neighbouring villages from somewhere around here. Considering that those in red look generously mixed with Ukrainians and that there is also some light South Asian admix, it should be an area within the below that fits these criteria.
https://i.ibb.co/C9KSjVc/image.png


3 (first two are grandparent and nephew relationships, last is 350cM relationship to one and 80cM to other, so a 2nd degree cousin)

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
23.93	32.60	12.69	7.51	13.91	1.02	3.64	0	2.17	0.84	0.86	0.45	0.38
23.08	32.18	13.08	7.11	18.18	0.69	1.42	0	0.86	2.64	0	0	0.76
25.19	33.48	11.17	9.90	12.99	1.06	2.56	0	3.06	0	0.60	0	0

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None of these match any of the 22 above at meaningful distances, which signifies that they come from another area in the Balti region. These however are definitely not from the Falesti-Glodeni region given the matches that I have.


6 (these do not match neither of the 25 above and neither each other; these are likely genuine city folk from Balti)

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N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
21.34	31.99	15.85	9.04	16.47	2.18	0	0.86	1.12	0.00	0	0.96	0.18
25.91	29.65	15.36	10.26	15.63	0	1.19	1.61	0	0.37	0	0	0
24.56	31.94	17.63	6.74	13.24	0.97	2.04	0.68	0.94	0	0.60	0	0.66
23.69	25.49	14.35	13.24	16.25	4.22	0.26	1.33	0.74	0	0.43	0	0
27.07	28.68	13.68	9.21	14.50	2.21	0.92	0	1.47	1.46	0.34	0	0.46
23.51	36.03	14.26	4.20	16.73	0.14	1.17	0	3.21	0	0.75	0	0

</google-sheets-html-origin>
I think I will research this further and likelier remove those that look like villagers from the same place from the city average. Those 22 will go into Balti county, but for the other 3 I will have to look into closer to understand where they could come from in that region.

Quote:

---

Originally Posted by Ion Basescul

Those 30ish samples from Balti city (Triska et al. 2017 academic samples) are not from there by the way. More likely by Balti the researchers meant Balti as in region.
And my reasoning for that comes from the fact that after uploading them to GEDmatch in order to take a closer look, I found that 22 of them are close matches to each other; other 3 are matching each other closely but not those, and 6 are unrelated to these and each other. Those last ones could be from the city.

Some of those from the 22 and 3 related are even at grandparent - nephew relationship, but most of them are 70cM+ to 800cM matches.
This is impossible in a big city, unless they literally grabbed a panel of relatives. But in a small village of up to about 4k people, it is normal to have relationships of 70-100cM for non-related people. This is the case with samples from Caplani, Costesti, Cazaclia and 3 of my parents' personal matches on MyHeritage that come from the same villages as them.

Obviously I can't place them in a specific village, but they are probably from somewhere at the crossroads of Singerei, Falesti, Glodeni, so stranding the Western side of Balti, rather than Eastern. That's because some of them match to up to 60cM some of my confirmed samples from villages in that area.

Here are the relationships:

These are likely from the same and/or neighbouring villages

22

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium; --darkreader-inline-color:#e8e6e3;" data-darkreader-inline-color="">

N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
24.58	31.08	13.08	6.06	16.71	3.33	1.41	0	2.32	1.43	0	0	0
22.08	35.20	17.67	12.03	7.34	1.30	1.25	1.55	0	0.79	0.09	0.51	0.19
26.86	31.42	17.53	9.84	10.26	0	0	0.55	1.85	1.00	0.14	0.11	0.45
27.89	28.60	15.36	10.43	13.25	0.43	0	0.20	3.51	0	0.33	0	0
26.74	30.55	12.91	10.08	14.54	0.86	1.10	0.20	2.93	0	0.09	0	0
24.50	30.63	15.90	8.79	15.10	0	0.38	0.09	1.22	0.93	1.08	0	1.38
22.35	36.34	13.69	10.10	11.91	0.00	0.83	0	1.36	1.58	0.74	0	1.11
25.28	27.62	16.32	11.66	12.96	2.76	1.24	0	1.23	0	0.92	0	0
27.75	32.43	15.47	6.56	13.70	1.25	0.06	0	2.26	0.36	0.17	0	0
23.81	34.31	12.54	6.21	16.13	1.21	2.19	0.86	2.42	0	0.30	0	0
24.60	27.89	17.41	10.24	14.03	0	2.99	0	2.54	0	0.30	0	0
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
23.45	32.66	13.73	7.87	16.41	0	1.20	0	3.13	0	0.54	1.01	0
23.13	36.19	11.05	9.44	16.58	0	1.15	0	1.84	0.16	0	0	0.45
27.76	31.44	13.32	6.93	15.07	2.36	1.14	0.96	0	0.67	0	0.35	0
23.69	34.30	11.83	8.97	14.59	3.57	1.20	0	1.51	0.05	0	0	0.30
27.48	29.22	13.71	8.91	13.15	3.50	2.84	0.36	0.32	0	0.51	0	0
23.97	26.63	13.49	7.19	17.21	1.94	4.59	0.98	1.67	0.20	0.53	1.34	0.27
21.44	33.10	14.08	8.88	17.70	0.54	0.94	0	2.95	0	0.38	0	0
24.52	36.71	16.02	7.75	10.27	0.89	1.08	0.72	2.03	0	0	0	0
26.08	36.66	13.59	6.72	11.89	1.82	0	0	1.88	1.32	0	0	0
31.58	28.15	14.20	2.22	17.21	1.23	2.15	0	1.86	0	1.40	0	0

</google-sheets-html-origin>
Given whom they match at "villager" level of closeness from my confirmed matches, they are likely from either a single or 1-3 neighbouring villages from somewhere around here. Considering that those in red look generously mixed with Ukrainians and that there is also some light South Asian admix, it should be an area within the below that fits these criteria.
https://i.ibb.co/C9KSjVc/image.png


3 (first two are grandparent and nephew relationships, last is 350cM relationship to one and 80cM to other, so a 2nd degree cousin)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium; --darkreader-inline-color:#e8e6e3;" data-darkreader-inline-color="">

N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
23.93	32.60	12.69	7.51	13.91	1.02	3.64	0	2.17	0.84	0.86	0.45	0.38
23.08	32.18	13.08	7.11	18.18	0.69	1.42	0	0.86	2.64	0	0	0.76
25.19	33.48	11.17	9.90	12.99	1.06	2.56	0	3.06	0	0.60	0	0

</google-sheets-html-origin>
None of these match any of the 22 above at meaningful distances, which signifies that they come from another area in the Balti region. These however are definitely not from the Falesti-Glodeni region given the matches that I have.


6 (these do not match neither of the 25 above and neither each other; these are likely genuine city folk from Balti)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium; --darkreader-inline-color:#e8e6e3;" data-darkreader-inline-color="">

N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
21.34	31.99	15.85	9.04	16.47	2.18	0	0.86	1.12	0.00	0	0.96	0.18
25.91	29.65	15.36	10.26	15.63	0	1.19	1.61	0	0.37	0	0	0
24.56	31.94	17.63	6.74	13.24	0.97	2.04	0.68	0.94	0	0.60	0	0.66
23.69	25.49	14.35	13.24	16.25	4.22	0.26	1.33	0.74	0	0.43	0	0
27.07	28.68	13.68	9.21	14.50	2.21	0.92	0	1.47	1.46	0.34	0	0.46
23.51	36.03	14.26	4.20	16.73	0.14	1.17	0	3.21	0	0.75	0	0

</google-sheets-html-origin>
I think I will research this further and likelier remove those that look like villagers from the same place from the city average. Those 22 will go into Balti county, but for the other 3 I will have to look into closer to understand where they could come from in that region.

---

Could you send these samples to David to have G25 coordiantes?

Quote:

---

Originally Posted by andre

Could you send these samples to David to have G25 coordiantes?

---

They have been there as individuals and also as part of the Moldovan average for quite a while (1-2 years).

1/2 Moldovan/Romanian from Ungheni, 1/2 Russian from Izmail (now in Ukraine)

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">

N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
25.44	37.84	13.06	8.36	11.81	0.86	0.87	0	1.24	0	0.51	0	0

</google-sheets-html-origin>
Distance to: 1
2.76689356 Ukrainian_Carpathian
3.23837922 Bosniak_Bosnia
3.89314783 Croat_East
4.64925801 Moldova_North
5.09998039 Moldova_Ukrainian
5.58957065 Ukrainian_Galicia
5.88223597 Croat
6.20180619 Hungarian_North
6.40982839 Bosniak
6.43335060 Croat_North
6.67939369 Hungarian_Alföld
7.04459367 Slovak
7.04751020 Croat_South
7.58193247 Croat_West
7.62768641 Hungarian
7.80177544 Slovenian
7.82365643 Moldova_Centre
7.94132860 Serb_Bosnia
8.04624136 Moldova_average
8.36208108 Hungarian_Transdanubia+Budapest
8.90389802 Romania_Moldavia_North
9.16003821 South_Polish
9.23113752 Csángó-Ceangău
9.33347738 Serb_Croatia
9.81044342 Czech



1/2 Moldovan/Romanian, 1/2 Ukrainian

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">

N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
30.41	35.05	13.46	8.35	7.18	1.43	1.62	0	1.21	0.19	1.03	0	0

</google-sheets-html-origin>
Distance to: 2
3.38208516 Slovak
3.75733948 Croat_North
3.87437737 Hungarian_North
3.88493243 Slovenian
4.16871683 Hungarian_Transdanubia+Budapest
4.48399376 Hungarian
4.67117758 Hungarian_Alföld
4.75461881 Czech
5.83188649 Ukrainian_Galicia
5.89636329 Ukrainian_Carpathian
6.14448533 Croat
6.51811322 Croat_East
7.01916662 Bosniak_Bosnia
7.53167976 German_East
7.68596773 Croat_West
7.81313637 South_Polish
7.89895563 Csángó-Ceangău
8.25904353 Moldova_Ukrainian
8.38732973 Sorb_Lusatia
8.73711623 Croat_South
8.73889009 Moldova_North
8.90897300 Austrian
9.14364260 Hungarian_Transylvania+Székely
9.40681136 Bosniak
9.42969247 Polish_Lower_Silesia