Moldovan/Romanian GEDmatch Results v2

Quote:

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Originally Posted by superjelly40

Attachment 104433

Here are my gedmatch results. As far as I know, all my family including great grandparents are from Ialoveni district. Not too sure if these are typical for that region.

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Hi, welcome to the club, although you seem to have been here for a bit, that's the first time that I see you posting. Your results are typical for Moldova and particularly the Central region.

Here is how other people with all of their recent ancestry in Ialoveni district score on K13.

<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
20.89	32.32	13.89	10.56	15.52	3.55	0	1.31	1.19	0	0.49	0	0.27
21.72	31.59	14.86	9.72	16.73	0.94	2.66	0	0	0.82	0.8	0	0.15
24.49	30.58	15.28	10.52	13.60	0.25	1.34	0.91	1.36	0.44	0.29	0	0.96

</google-sheets-html-origin>
The sample size is very small, so obviously not that representative of the real diversity there. This is why it's wiser to look at the Central region as a whole for this.

<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
28.97	34.84	12.39	7.67	12.05	0.73	0.44	0	1.37	0	0.51	0.71	0.34
25.38	29.74	14.85	10.34	12.30	2.85	1.14	0.60	1.35	0.91	0.45	0	0.10
23.95	32.71	13.95	12.72	11.65	1.60	0.21	0.25	2.85	0	0	0	0.10
24.14	32.44	14.55	11.75	12.15	0	1.62	0	1.54	0.96	0	0.33	0.51
21.68	26.21	19.78	10.56	18.48	1.17	0	0.30	0.83	0	1.00	0	0
18.73	29.21	15.46	10.82	21.13	0.92	0.39	0	0.68	0.23	1.70	0	0.72
25.67	30.44	14.31	11.10	13.20	1.84	0	1.54	1.40	0	0.46	0	0
20.97	28.32	16.75	15.15	13.12	1.01	1.75	1.32	0	0.79	0.30	0	0.52
22.09	27.18	15.47	11.01	18.69	2.49	0	0.50	1.91	0.65	0	0	0
25.81	29.74	13.91	8.57	16.77	1.27	1.19	0.95	0.49	0.65	0.39	0	0.25
25.37	28.72	15.23	10.56	13.75	1.85	1.45	0	1.38	0.70	0.74	0	0.26
25.38	29.74	19.64	9.19	8.90	3.29	0.87	0	2.48	0.50	0	0	0
23.18	29.71	14.61	10.27	18.19	1.01	0.63	0	1.18	0.69	0.52	0	0
24.27	30.45	14.67	11.96	10.87	2.75	3.05	0	1.96	0	0	0	0
23.59	30.86	16.86	8.76	11.85	2.12	2.03	0.81	0.86	2.26	0	0	0
23.53	30.47	15.75	11.25	12.26	1.47	0.66	1.12	2.34	0.10	1.05	0	0
20.94	32.81	16.13	11.69	12.21	0.97	2.06	1.03	1.08	0.54	0.54	0	0
23.81	23.27	14.12	11.32	20.34	2.44	1.16	0	1.02	1.44	0	0.50	0.58
26.90	26.30	15.40	9.64	13.58	4.18	0.45	1.13	0.97	0.36	1.07	0	0
19.22	31.56	14.31	7.79	20.80	2.34	2.05	0.39	0.46	1.08	0	0	0
22.18	33.94	14.38	9.99	13.86	3.05	0	1.21	0	0.91	0.49	0	0
20.89	32.32	13.89	10.56	15.52	3.55	0	1.31	1.19	0	0.49	0	0.27
21.72	31.59	14.86	9.72	16.73	0.94	2.66	0	0	0.82	0.8	0	0.15
24.49	30.58	15.28	10.52	13.60	0.25	1.34	0.91	1.36	0.44	0.29	0	0.96
22.19	35.55	15.80	5.01	14.63	1.08	2.73	0	1.21	0.49	0.57	0	0.75
18.71	29.10	18.39	10.79	14.63	4.48	0	0.85	0	2.02	0.74	0.25	0
23.31	29.55	17.84	7.30	16.55	1.29	1.96	0.80	0.24	0.79	0.35	0	0

</google-sheets-html-origin>
You definitely fit among them.

Distance to:	superjelly40
4.64217621	Moldova_Straseni
5.83738811	Moldova_Calarasi
5.93174511	Moldova_Telenesti
5.96706796	Moldova_Ocnita
6.51710058	Moldova_Ialoveni
7.11625604	Moldova_Orhei
7.18171289	Moldova_Transnistria
7.51399361	Moldova_Chisinau
7.52366267	Moldova_Balti
7.88719849	Moldova_Singerei
8.22253611	Moldova_Glodeni
8.24588382	Moldova_Edinet
8.58175390	Moldova_Hincesti
8.78994881	Moldova_Falesti
9.38255296	Moldova_Nisporeni
9.41808898	Moldova_Cimislia
9.46467643	Moldova_1/2Moldovan_1/2EastSlavic
9.52456823	Moldova_Ungheni
9.53019937	Moldova_Briceni
9.95842859	Moldova_Cahul
10.08584652	Moldova_Causeni
10.15444730	Moldova_Rezina
10.22057239	Moldova_Soldanesti
11.46579696	Moldova_AneniiNoi
12.48945155	Moldova_StefanVoda
13.67972587	Moldova_Cantemir
13.77503539	Moldova_Bulgarian
13.91789855	Moldova_Floresti
14.69709495	Moldova_Leova
15.21787107	Moldova_Gagauzia
16.24243516	Moldova_Ukrainian
35.00151140	Moldova_Roma
35.18086270	Moldova_Jewish

Top 10 individuals

Distance to:	superjelly40
2.88310596	Moldova_30_Straseni
4.09084343	Moldova_4_Ocnita
4.63449026	Moldova_8_Edinet
4.88785229	Moldova_36_Balti
4.97528894	Moldova_20_Telenesti
5.03309050	Moldova_45_Balti
5.17327749	Moldova_32_Straseni
5.20201884	Moldova_33_Straseni
5.35764874	Moldova_1_Ocnita
5.38106867	Moldova_84_Chisinau

Distance: 4.4077% / 4.40773536
Target: superjelly40 | ADC: 0.25x RC
57.0 Moldova_Straseni
30.0 Moldova_Transnistria
13.0 Moldova_Cahul

-Transnistria
Distance: 4.6377% / 4.63767687
Target: superjelly40 | ADC: 0.25x RC
94.8 Moldova_Straseni
5.2 Moldova_Ocnita

Quote:

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Originally Posted by Aspirin

Thanks. Are all your ancestors ethnic Moldovans or you have and foreign ancestors (Russian/Ukrainians) too?

This is how you plot on K15 map.

https://sun9-15.userapi.com/R7804T0g...t7_8ksul64.jpg

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Yes, they're all ethnic Moldovan I believe, at least as far as I have researched. As well as the town which all my known ancestors come from is something like 99.5% Moldovan/ Romanian ethnically. So basically I'm very Moldovan lol.

Quote:

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Originally Posted by Stearsolina

here is your updated K13 (closest populations)

5.69365436 Bosniak_Krajina
5.94565387 Csángó
6.14401335 Hungarian_Transylvania
6.40647329 Székely
6.68384620 Bosniak
6.76263262 Serb_north
7.00371330 Croat_Littoral
7.08727733 Serb
7.18429537 Croat_Bosnia&Herzegovina
7.19572790 Romania_Moldavia_North
7.23221958 Bosniak_Sarajevo
7.27041952 Romania_Maramures
7.32105184 Moldova_average
7.38494414 Serb_central
7.40040539 Moldova_Centre
7.47630925 Croat
7.75168369 Hungarian_Alföld
7.95479101 Moldova_North
8.10226512 Romania_Crisana
8.17809880 Hungarian
8.26667406 Croat_East
8.37652673 Bosniak_Bosnia_proper
8.44649632 Romania_Moldavia_South
8.51502789 Hungarian_Transdanubia+Budapest
8.85353037 Romania_Transylvania

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Intresting, seems it likes to plot me with Hungarians.

Quote:

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Originally Posted by Ion Basescul

Hi, welcome to the club, although you seem to have been here for a bit, that's the first time that I see you posting. Your results are typical for Moldova and particularly the Central region.

Here is how other people with all of their recent ancestry in Ialoveni district score on K13.

<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
20.89	32.32	13.89	10.56	15.52	3.55	0	1.31	1.19	0	0.49	0	0.27
21.72	31.59	14.86	9.72	16.73	0.94	2.66	0	0	0.82	0.8	0	0.15
24.49	30.58	15.28	10.52	13.60	0.25	1.34	0.91	1.36	0.44	0.29	0	0.96

</google-sheets-html-origin>
The sample size is very small, so obviously not that representative of the real diversity there. This is why it's wiser to look at the Central region as a whole for this.

<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
28.97	34.84	12.39	7.67	12.05	0.73	0.44	0	1.37	0	0.51	0.71	0.34
25.38	29.74	14.85	10.34	12.30	2.85	1.14	0.60	1.35	0.91	0.45	0	0.10
23.95	32.71	13.95	12.72	11.65	1.60	0.21	0.25	2.85	0	0	0	0.10
24.14	32.44	14.55	11.75	12.15	0	1.62	0	1.54	0.96	0	0.33	0.51
21.68	26.21	19.78	10.56	18.48	1.17	0	0.30	0.83	0	1.00	0	0
18.73	29.21	15.46	10.82	21.13	0.92	0.39	0	0.68	0.23	1.70	0	0.72
25.67	30.44	14.31	11.10	13.20	1.84	0	1.54	1.40	0	0.46	0	0
20.97	28.32	16.75	15.15	13.12	1.01	1.75	1.32	0	0.79	0.30	0	0.52
22.09	27.18	15.47	11.01	18.69	2.49	0	0.50	1.91	0.65	0	0	0
25.81	29.74	13.91	8.57	16.77	1.27	1.19	0.95	0.49	0.65	0.39	0	0.25
25.37	28.72	15.23	10.56	13.75	1.85	1.45	0	1.38	0.70	0.74	0	0.26
25.38	29.74	19.64	9.19	8.90	3.29	0.87	0	2.48	0.50	0	0	0
23.18	29.71	14.61	10.27	18.19	1.01	0.63	0	1.18	0.69	0.52	0	0
24.27	30.45	14.67	11.96	10.87	2.75	3.05	0	1.96	0	0	0	0
23.59	30.86	16.86	8.76	11.85	2.12	2.03	0.81	0.86	2.26	0	0	0
23.53	30.47	15.75	11.25	12.26	1.47	0.66	1.12	2.34	0.10	1.05	0	0
20.94	32.81	16.13	11.69	12.21	0.97	2.06	1.03	1.08	0.54	0.54	0	0
23.81	23.27	14.12	11.32	20.34	2.44	1.16	0	1.02	1.44	0	0.50	0.58
26.90	26.30	15.40	9.64	13.58	4.18	0.45	1.13	0.97	0.36	1.07	0	0
19.22	31.56	14.31	7.79	20.80	2.34	2.05	0.39	0.46	1.08	0	0	0
22.18	33.94	14.38	9.99	13.86	3.05	0	1.21	0	0.91	0.49	0	0
20.89	32.32	13.89	10.56	15.52	3.55	0	1.31	1.19	0	0.49	0	0.27
21.72	31.59	14.86	9.72	16.73	0.94	2.66	0	0	0.82	0.8	0	0.15
24.49	30.58	15.28	10.52	13.60	0.25	1.34	0.91	1.36	0.44	0.29	0	0.96
22.19	35.55	15.80	5.01	14.63	1.08	2.73	0	1.21	0.49	0.57	0	0.75
18.71	29.10	18.39	10.79	14.63	4.48	0	0.85	0	2.02	0.74	0.25	0
23.31	29.55	17.84	7.30	16.55	1.29	1.96	0.80	0.24	0.79	0.35	0	0

</google-sheets-html-origin>
You definitely fit among them.

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How do people from centre differ from say those from the north and south on average?

Quote:

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Originally Posted by Ion Basescul

Your results are typical for Moldova and particularly the Central region.

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Typical with only 9% East Med (considering what he is from Centra-Southern part of the country)?

Quote:

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Originally Posted by superjelly40

How do people from centre differ from say those from the north and south on average?

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North (especially from Balti upwards) and South around Gagauzia and along the bordering with Ukraine settlements are mixed to some extent. This is very clear from surnames among Moldovans in that area, and in some cases it is also visible from genetic results.
There are also villages with notable ethnic presence sprinkled randomly here and there.

But if we disregard some of the considerably outlying individuals in the North and South, then the difference between regions is small, but logical, with a North to South genetic gradient that corresponds to the geography. It is important to note however, that there is a problem with my data in that samples from the South are few and not diversified. Most of them come from a single village in Stefan Voda district (Caplani) and 4 of those from Cahul are members of the same family.

Samples from North

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

Origin	N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
_Ocnita	25.71	33.18	17.93	8.07	10.11	2.87	0.67	0	1.40	0	0	0	0
_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
_Ocnita	23.63	32.50	17.85	7.85	14.19	0	0.87	1.52	0	1.42	0.18	0	0
_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
_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
_Briceni	22.85	36.30	13.11	9.12	13.06	1.59	0	0	2.69	1.27	0	0	0
_Edinet	20.49	37.99	14.24	10.49	12.58	1.15	0	0	2.42	0.33	0	0	0.31
_Edinet	24.08	31.35	16.41	11.30	10.19	2.94	0	0	2.35	0.23	1.04	0.12	0
_Glodeni	21.77	34.40	15.61	12.12	9.73	1.40	0	0.83	2.20	1.11	0.82	0	0
_FR_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
_Balti	28.97	31.72	14.36	5.12	13.53	2.10	0.74	1.39	1.35	0	0.72	0	0
_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
_Singerei	25.81	33.39	14.59	8.56	11.04	1.78	0.45	1.13	0.97	0	1.61	0	0.68
_Singerei	19.29	30.14	16.78	10.68	19.18	0.74	0	1.61	0.06	0.67	0.87	0	0
_Singerei	23.18	31.34	14.97	9.87	13.15	1.89	1.16	0.39	1.93	1.14	0.15	0	0.83
_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
_1/2FL_1/2Chisina	24.90	34.32	14.54	5.42	14.28	2.29	1.58	0	2.07	0	0.34	0	0.25
_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
_Balti	24.58	31.08	13.08	6.06	16.71	3.33	1.41	0	2.32	1.43	0	0	0
_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
_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
_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
_Balti	27.89	28.60	15.36	10.43	13.25	0.43	0	0.20	3.51	0	0.33	0	0
_Balti	26.74	30.55	12.91	10.08	14.54	0.86	1.10	0.20	2.93	0	0.09	0	0
_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
_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
_Balti	26.10	29.55	15.22	10.17	15.75	0	1.18	1.62	0	0.39	0	0.02	0
_Balti	23.29	32.20	12.93	7.08	18.01	0.79	1.47	0	0.85	2.61	0	0	0.77
_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
_Balti	25.83	27.54	16.04	11.41	12.98	2.80	1.24	0	1.25	0.00	0.91	0	0
_Balti	28.04	32.24	15.49	6.59	13.52	1.22	0.08	0	2.23	0.42	0.17	0	0
_Balti	23.81	34.31	12.54	6.21	16.13	1.21	2.19	0.86	2.42	0	0.30	0	0
_Balti	24.72	27.82	17.45	10.27	13.86	0	3.07	0	2.47	0	0.34	0	0
_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
_Balti	23.47	32.69	13.87	7.89	16.16	0	1.20	0	3.13	0	0.55	1.03	0
_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
_Balti	23.13	36.19	11.05	9.44	16.58	0	1.15	0	1.84	0.16	0	0	0.45
_Balti	27.74	31.59	13.10	6.73	15.41	2.30	1.12	0.97	0	0.66	0	0.38	0
_Balti	24.22	25.35	14.14	12.99	16.10	4.36	0.31	1.40	0.72	0	0.42	0	0
_Balti	24.09	34.13	11.71	8.79	14.63	3.51	1.25	0	1.51	0.07	0	0	0.30
_Balti	25.19	33.48	11.17	9.90	12.99	1.06	2.56	0	3.06	0	0.60	0	0
_Balti	27.62	29.15	13.57	8.81	13.32	3.43	2.95	0.30	0.37	0	0.47	0	0
_Balti	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
_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
_Balti	22.03	33.01	13.83	8.75	17.44	0.67	0.97	0.00	2.96	0	0.34	0	0
_Balti	24.52	36.71	16.02	7.75	10.27	0.89	1.08	0.72	2.03	0	0	0	0
_Balti	23.73	36.03	14.19	4.12	16.63	0.20	1.20	0	3.24	0	0.67	0	0

</google-sheets-html-origin>
Samples from South

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

Origin	N_Atlantic	Baltic	West_Med	West_Asian	East_Med	Red_Sea	South_Asian	East_Asian	Siberian	Amerindian	Oceanian	NE_African	Sub-Saharan
_Cimislia	21.75	29.53	15.63	11.25	16.39	0.98	1.08	0	3.24	0	0.15	0	0
_Leova	20.92	28.56	14.80	9.67	22.16	0.86	1.64	0	0.64	0	0	0	0.75
_Cantemir	25.66	20.54	19.38	7.46	19.11	3.14	0	1.73	1.97	0	0.31	0.71	0
_Causeni	24.58	26.99	16.65	9.73	18.18	0.81	0.65	0	0	1.67	0.67	0	0.08
_Cahul	25.52	22.73	18.64	10.79	16.15	1.81	0.56	0.39	1.59	1.43	0.39	0	0
_Cahul	22.29	23.14	18.52	9.30	22.34	0.76	0	0.51	1.65	0.89	0.23	0.38	0
_Cahul	22.37	27.22	20.67	11.29	12.72	2.47	0.35	0	2.30	0.43	0.19	0	0
_Cahul	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
_Cahul	22.73	24.91	19.63	10.59	16.07	1.66	1.38	0.20	1.36	0.94	0.53	0	0
_StefanVoda	21.01	25.42	16.62	11.92	18.51	4.11	0.58	0	0	0	0.50	0.51	0.82
_StefanVoda	18.42	25.95	16.17	15.44	17.84	3.82	0.56	0.56	0	1.25	0	0	0
_StefanVoda	18.27	19.97	19.01	15.32	19.44	4.68	0.12	1.50	0.68	0.54	0	0	0.48
_StefanVoda	19.84	23.81	19.67	11.16	19.93	3.16	0	0.00	1.21	0.29	0.52	0	0.40
_StefanVoda	22.08	23.50	19.95	9.57	19.50	3.24	0	1.74	0.34	0	0.08	0	0
_StefanVoda	16.91	24.06	20.61	12.07	23.58	0	0.52	0	1.03	0	0.29	0.45	0.50
_StefanVoda	20.23	23.81	21.69	7.85	19.98	3.35	0	0	2.91	0	0.19	0	0
_StefanVoda	21.08	28.93	14.78	9.89	19.66	4.48	0.57	0.61	0	0	0	0	0
_StefanVoda	21.23	24.68	15.16	12.29	20.35	3.67	0	0	2.38	0	0.25	0	0
_StefanVoda	26.39	24.34	17.44	13.21	12.41	4.18	0	0.31	0.71	0	0.89	0	0.12
_Bugeac	18.04	26.87	17.24	12.49	19.31	2.99	0.68	0.27	1.35	0.76	0	0	0

</google-sheets-html-origin>

Quote:

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Originally Posted by Aspirin

Typical with only 9% East Med (considering what he is from Centra-Southern part of the country)?

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Te focusezi prea mult pe un singur component, si trebuie sa te uiti la imagine in ansamblu. Asta se refera la orice calculator, deoarece niciunul dintre ele nu-i perfect.
Da, are putin East Med chiar si pentru extremul nord. Cineva cu doar 9% East Med nu poate sa fie moldovan neamestecat recent. Insa el nu are doar 9% East Med, ci si alte componente East Med-like care-s cu mult mai sudice, cum ar fi 3% Red Sea si 1% North African. Plus la asta are West Med umflat la 18%, ceea ce iarasi probabil indica ca ar trebui sa fie impartit mai uniform intre West si East. In realitate are vreo 16% East Med daca ar fi sa estimez. Asta de fapt si-i cauza pentru fit-ul prost, deoarece celelalte componente is distribuite tipic. Sunt cazuri de genul asta si ele urmaresc acelasi pattern, fie West Med-ul e umflat sau Red Sea cu North African. Daca pur si simplu East Med-ul e jos, impreuna cu celelalte atunci aceasta deja ar putea sa indice amestec recent slavic.

Superjelly, poti sa ne arati rezultatele Eurogenes K36?

Quote:

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Originally Posted by Ion Basescul

Superjelly, poti sa ne arati rezultatele Eurogenes K36?

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