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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.
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
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.
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
You definitely fit among them.




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| Received: 5,514/44 Given: 1,505/11 |
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
Last edited by Ion Basescul; 12-08-2020 at 02:27 PM.


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| Received: 10/0 Given: 6/2 |


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| Received: 10/0 Given: 6/2 |


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| Received: 10/0 Given: 6/2 |




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| Received: 5,514/44 Given: 1,505/11 |
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
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
Samples from South
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
Last edited by Ion Basescul; 12-08-2020 at 02:35 PM.




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| Received: 5,514/44 Given: 1,505/11 |
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.




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Superjelly, poti sa ne arati rezultatele Eurogenes K36?


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| Received: 10/0 Given: 6/2 |
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